CN106937303B - A base station testing method and system, terminal and cloud server - Google Patents

Abstract

The invention relates to the technical field of communication, in particular to a base station testing method and system, a terminal and a cloud server, which are used for reducing the complexity of a base station testing scheme and improving the testing accuracy. In the embodiment of the application, utilize cloud ware and terminal to carry out information interaction, in order to realize that the terminal is to the test operation of awaiting measuring basic station, do not need tester to utilize multiple testing tool to carry out a lot of tests, the use of testing tool and the complexity of test have been reduced, moreover, the terminal sends the test data who gathers in real time and carries out analysis processes for cloud ware, the test result inaccuracy and the standard of having avoided manual analysis to cause is not unified, analysis processes's accuracy and automation have been improved, and whole test scheme's efficiency has been improved. Moreover, because the test data is transmitted in real time, the cloud server can find the problems of error test, missing test and the like in time so as to carry out retest, and the complexity of needing to return to a station for retest for the second time in the prior art is completely avoided.

Description

A base station testing method and system, terminal and cloud server

technical field

The present invention relates to the field of communication technologies, and in particular, to a base station testing method and system, a terminal and a cloud server.

Background technique

At present, a base station must undergo a single-station (single base station) verification test before accessing the network service to ensure that the base station parameter information such as the installation situation and parameter configuration of the base station is consistent with the planning parameter information in the planning scheme, and to ensure that all base stations within the coverage area of the base station are consistent. The basic functions of the cell (such as access, voice calls, FTP upload and download services, etc.) and signal coverage are normal, thereby reducing adverse effects on later maintenance and optimization.

The existing base station test process is: after the tester receives the test task, first determine the basic parameter information list of the base station to be tested, such as base station name, base station address, base station location information (latitude and longitude), antenna height, direction angle, downtilt angle (including mechanical and electronic downtilt angles) and planned cell data (such as base station ID, cell ID, frequency point), etc., testers also need to check all test instruments and equipment before going to the station to avoid equipment problems affecting the test, such as: The equipment to be checked includes: vehicle, vehicle inverter, test computer, power cord, drive test software, test terminal, USB connection data cable, camera, GPS for computer, handheld GPS, USB Hub, SIM card, compass, Compass (for measuring antenna azimuth and mechanical inclination), paper maps, etc. After that, the testers go to the station to collect information such as base station location information, antenna height, direction angle, downtilt angle, and base station antenna photos according to the determined basic parameter information list; and execute network test cases at preset test points, such as: artificial Complete fixed-point and mobile service tests such as access, voice call, FTP upload/download, handover, etc.; then, the tester returns to the station, manually enters and analyzes the test data, and compares the results; the tester manually integrates the test data, base station photos, and test coverage Figures and other base station information, organize and output test reports; if the test data cannot meet the judgment criteria, or some test items are missed, the tester needs to go to the station for a second retest until the test is passed.

It can be seen that the existing base station test solutions mainly have the following problems:

First of all, the preparation work before the tester goes to the station is too complicated, and there are many test instruments and tools required, and it is impossible to verify whether the tester is actually on the station for the test;

Secondly, different test cases need to use different test equipment, the operation is complicated, and the technical level of testers is high. For example, the longitude and latitude collection of the base station requires the use of a handheld GPS; the collection of the antenna direction angle and downtilt angle information requires the use of a compass; the network test requires a dedicated test notebook, an external test terminal and an external GPS, and the drive test software is loaded; the tester needs to be proficient in various instruments and The method of using the tool, therefore, the operation complexity is high;

Moreover, the post-processing and analysis of the test data is done manually, and the test data varies greatly depending on the level of the field testers; especially for the problems existing in the network, such as the reverse connection of the antenna and the blocking of the antenna. It relies on the manual judgment of testers, and the test accuracy depends entirely on the experience and responsibility of the testers, which easily leads to serious misjudgments and missed judgments, which increases the difficulty of later network optimization.

To sum up, the existing base station test solutions have problems such as high complexity, low accuracy, and low test efficiency, and it is urgent to find a more suitable base station test solution.

SUMMARY OF THE INVENTION

Embodiments of the present invention provide a base station testing method and system, a terminal, and a cloud server, which are used to solve the problems of high testing complexity and low accuracy of a base station testing solution in the prior art.

The embodiment of the present invention adopts the following technical solutions:

A base station testing method, the method comprising:

The cloud server receives the identification of the base station to be tested sent by the terminal, wherein the base station to be tested is determined by the terminal;

The cloud server searches the stored test plan list according to the identification of the base station to be tested, and matches a test plan corresponding to the identification of the base station to be tested, wherein the test plan includes a parameter test case and a network test case ;

The cloud server sends the test plan to the terminal, so that the terminal tests the base station to be tested according to the test plan;

The cloud server acquires the test data obtained by the terminal test in real time, and analyzes the test data to obtain a test result for the base station to be tested;

The cloud server sends the test result to the terminal.

Optionally, before the cloud server receives the identifier of the base station to be tested sent by the terminal, the method further includes:

receiving terminal location information or base station keyword information sent by the terminal;

A list of base stations to be tested including at least one base station is matched according to the terminal location information or base station keyword information, and the list of base stations to be tested is sent to the terminal, so that the terminal can select the base station to be tested from the to-be-tested base station according to the user's needs. The base station to be tested is determined in the test base station list.

Optionally, the cloud server analyzes the test data, specifically including at least the following solutions:

The cloud server determines whether the base station parameter information obtained by testing according to the parameter test case in the test data is consistent with the planning parameter information; and, the cloud server determines whether the cell of the base station to be tested exists according to the test data The antenna feeder connection is reversed; and the cloud server determines, according to the test data, whether the cell of the base station to be tested is blocked by the antenna feeder.

Optionally, the cloud server determines, according to the test data, whether the cell of the base station to be tested has an antenna-feedback connection, specifically including:

Screen out the test point location information of all cells from the test data;

According to the test point location information of each cell, determine whether the cell is a suspected antenna-feedback cell;

Count the number of cells in all cells that are determined to be suspected antenna feeder-reverse cells;

It is determined whether the number of the cells is greater than the second threshold, and if so, it is determined that the cell of the base station to be tested has an antenna-feedback connection; otherwise, it is determined that the antenna-feedback connection of the cell of the base station to be tested is normal.

Optionally, according to the test point location information of each cell, determine whether the cell is a suspected antenna-feedback reverse cell, specifically including:

Determine the included angle between the test point and the main direction of the current cell according to the location information of each test point and the base station location information in the cell;

Count the proportion of the test points whose included angle is greater than the preset angle value in the current cell in the current cell;

It is determined whether the proportion is greater than the first threshold, and if so, it is determined that the current cell is a suspected antenna-feedback connected cell; otherwise, it is determined that the current cell is a normal antenna-feedback connection cell.

Optionally, the cloud server determines, according to the test data, whether the cell of the base station to be tested is blocked by an antenna and feeder, specifically including:

Execute sequentially for all test points in any cell:

Screen out the test point location information of the test point from the test data, and determine the air interface path loss of the test point;

Determine the predicted receiving level value of the test point according to the determined air interface path loss;

Make a difference between the measured reception level value and the predicted reception level value, and count the proportion of the test points whose difference value is greater than the third threshold in the current cell;

It is determined whether the proportion is greater than the fourth threshold, and if so, it is determined that the cell of the base station to be tested is blocked by the antenna feeder; otherwise, it is determined that the cell of the base station to be tested is not blocked by the antenna feeder.

Optionally, screen out the test point location information of the test point from the test data, and determine the air interface path loss of the test point, specifically including:

According to the test point location information and base station location information in the test data, use the following spatial propagation model formula to determine the air interface path loss of the test point:

为空口路径损耗，所述f为信号频率，所述h_TX为待测试基站的高度，所述d为待测试基站与测试点的水平距离，所述K_c为地貌修正因子，所述A₁、A₂、A₃、B₁、B₂为空间传播模型的系数。Among them, the

is the air interface path loss, the f is the signal frequency, the h _TX is the height of the base station to be tested, the d is the horizontal distance between the base station to be tested and the test point, the K _c is the landform correction factor, the A ₁ , A ₂ , A ₃ , B ₁ , and B ₂ are the coefficients of the spatial propagation model.

A base station testing method, the method comprising:

Send the determined identification of the base station to be tested to the cloud server, so that the cloud server searches the stored test plan list according to the identification of the base station to be tested, and matches the test plan corresponding to the identification of the base station to be tested. ;

receiving a test plan sent by the cloud server, and testing the base station to be tested according to the test plan;

sending the collected test data to the cloud server in real time, so that the cloud server analyzes the test data and obtains the test result for the base station to be tested;

Receive the test result sent by the cloud server.

Optionally, the identity of the base station to be tested is determined in the following manner:

The terminal sends terminal location information or base station keyword information to the cloud server, so that the cloud server matches a list of base stations to be tested including at least one base station according to the terminal location information or base station keyword information;

The terminal receives the list of base stations to be tested, and determines the base station to be tested from the list of base stations to be tested according to user requirements.

Optionally, the terminal tests the base station to be tested according to the test plan, specifically including:

The base station parameter information of the base station to be tested is collected according to the parameter test case in the test plan, wherein the base station parameter information includes: basic information, work parameter information and site information; and,

According to the network test case in the test plan, the network communication status of the base station to be tested is tested, and the network test information of the base station is collected.

A cloud server, including:

a first receiving unit, configured to receive an identifier of a base station to be tested sent by a terminal, wherein the base station to be tested is determined by the terminal; and, used to acquire test data obtained by the terminal test in real time;

a search unit, configured to search a stored test plan list according to the identification of the base station to be tested received by the first receiving unit, and to match a test plan corresponding to the identification of the base station to be tested, wherein the The test plan includes parametric test cases and network test cases;

a first sending unit, configured to send the test plan matched by the search unit to the terminal, so that the terminal tests the base station to be tested according to the test plan; and, configured to send the test result to the terminal;

and a processing unit, configured to analyze the test data acquired by the first receiving unit in real time to obtain a test result for the base station to be tested.

Optionally, the first receiving unit is further configured to receive terminal location information or base station keyword information sent by the terminal before receiving the identifier of the base station to be tested sent by the terminal;

The searching unit is further configured to match a list of base stations to be tested including at least one base station according to the terminal location information or base station keyword information, and send the list of base stations to be tested to the terminal through the sending unit, So that the terminal determines the base station to be tested from the list of base stations to be tested according to the user's requirement.

Optionally, the processing unit is specifically configured to determine whether the base station parameter information obtained according to the parameter test case test in the test data is consistent with the planning parameter information; and, according to the test data, determine the base station to be tested. Whether the cell of the base station to be tested has an antenna-feedback connection; and, according to the test data, determining whether the cell of the base station to be tested has an antenna-feeder blocking.

Optionally, the processing unit is configured to determine, according to the test data, whether the cell of the base station to be tested has an antenna-feedback connection, specifically including:

Screen out the test point location information of all cells from the test data;

According to the test point location information of each cell, determine whether the cell is a suspected antenna-feedback cell;

Count the number of cells in all cells that are determined to be suspected antenna feeder-reverse cells;

It is determined whether the number of the cells is greater than the second threshold, and if so, it is determined that the cell of the base station to be tested has an antenna-feedback connection; otherwise, it is determined that the antenna-feedback connection of the cell of the base station to be tested is normal.

Optionally, when the processing unit determines whether the cell is a suspected antenna-feedback-reverse cell according to the test point location information of each cell, the processing unit is specifically configured to:

Determine the included angle between the test point and the main direction of the current cell according to the location information of each test point and the base station location information in the cell;

Count the proportion of the test points whose included angle is greater than the preset angle value in the current cell in the current cell;

It is determined whether the proportion is greater than the first threshold, and if so, it is determined that the current cell is a suspected antenna-feedback connected cell; otherwise, it is determined that the current cell is a normal antenna-feedback connection cell.

Optionally, the processing unit determines, according to the test data, whether the cell of the base station to be tested is blocked by an antenna and feeder, and is specifically used for:

Execute sequentially for all test points in any cell:

Screen out the test point location information of the test point from the test data, and determine the air interface path loss of the test point;

Determine the predicted receiving level value of the test point according to the determined air interface path loss;

Make a difference between the measured reception level value and the predicted reception level value, and count the proportion of the test points whose difference value is greater than the third threshold in the current cell;

It is determined whether the proportion is greater than the fourth threshold, and if so, it is determined that the cell of the base station to be tested is blocked by the antenna feeder; otherwise, it is determined that the cell of the base station to be tested is not blocked by the antenna feeder.

Optionally, when determining the predicted receiving level value of the test point according to the determined air interface path loss, the processing unit is specifically configured to:

According to the test point location information and base station location information in the test data, use the following spatial propagation model formula to determine the air interface path loss of the test point:

为空口路径损耗，所述f为信号频率，所述h_TX为待测试基站的高度，所述d为待测试基站与测试点的水平距离，所述K_c为地貌修正因子，所述A₁、A₂、A₃、B₁、B₂为空间传播模型的系数。Among them, the

is the air interface path loss, the f is the signal frequency, the h _TX is the height of the base station to be tested, the d is the horizontal distance between the base station to be tested and the test point, the K _c is the landform correction factor, the A ₁ , A ₂ , A ₃ , B ₁ , and B ₂ are the coefficients of the spatial propagation model.

A terminal that includes:

The second sending unit is configured to send the determined identification of the base station to be tested to the cloud server, so that the cloud server searches the stored test plan list according to the identification of the base station to be tested, and matches the test plan list with the identification of the base station to be tested. A test plan corresponding to the identification of the base station; and, for sending the collected test data to a cloud server in real time, so that the cloud server analyzes the test data and obtains a test result for the base station to be tested;

The second receiving unit is configured to receive the test plan sent by the cloud server, and test the base station to be tested according to the test plan; and be configured to receive the test result sent by the cloud server.

Optionally, the identity of the base station to be tested is determined in the following manner:

The terminal sends terminal location information or base station keyword information to the cloud server, so that the cloud server matches a list of base stations to be tested including at least one base station according to the terminal location information or base station keyword information;

The terminal receives the list of base stations to be tested, and determines the base station to be tested from the list of base stations to be tested according to user requirements.

Optionally, the second receiving unit is specifically configured to:

The base station parameter information of the base station to be tested is collected according to the parameter test case in the test plan, wherein the base station parameter information includes: base station basic information, base station working parameter information and base station site information; and,

According to the network test case in the test plan, the network communication status of the base station to be tested is tested, and the network test information of the base station is collected.

A base station test system, comprising: a cloud server and a terminal;

Wherein, the cloud server is used to receive the identification of the base station to be tested sent by the terminal; search the stored test plan list according to the identification of the base station to be tested, and match the test plan corresponding to the identification of the base station to be tested. , wherein the test plan includes a parameter test case and a network test case; the test plan is sent to the terminal; the test data obtained by the terminal test is acquired in real time, and the test data is analyzed to obtain the test result of the base station to be tested; sending the test result to the terminal;

The terminal is configured to send the determined identification of the base station to be tested to the cloud server; receive a test plan sent by the cloud server, and test the base station to be tested according to the test plan; Send to the cloud server in real time; receive the test result sent by the cloud server.

In the embodiment of the present invention, through the information exchange between the cloud server and the terminal, the terminal to test the base station to be tested and the collection of test data are realized, and the tester does not need to use a variety of test tools to perform multiple tests, which reduces the use of test tools. Moreover, the terminal sends the collected test data to the cloud server for analysis and processing in real time, avoiding inaccurate test results and inconsistent standards caused by manual analysis, affecting subsequent maintenance and optimization work, and improving analysis and processing. accuracy and automation, and improve the efficiency of the entire test program. Moreover, since the test data is transmitted in real time, the cloud server can timely detect problems such as false testing and missed testing, so as to conduct re-testing, which completely avoids the tediousness of returning to the site for re-testing in the prior art.

Description of drawings

In order to illustrate the technical solutions in the embodiments of the present invention more clearly, the following briefly introduces the accompanying drawings used in the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained from these drawings without any creative effort.

1 is a schematic diagram of a system architecture involved in the present invention;

FIG. 2 is a schematic flowchart of steps of a base station testing method according to Embodiment 1 of the present invention;

3 is a schematic flowchart of steps of another base station testing method provided in Embodiment 1 of the present invention;

4 is a schematic flow chart of the specific execution steps of the test scheme 2 of the present invention;

5 is a schematic diagram of the coverage of three cells of a base station to be tested;

6 is a schematic flow chart of the specific execution steps of the test scheme three of the present invention;

FIG. 7 is a schematic flowchart of steps of a base station testing method according to Embodiment 2 of the present invention;

8 is a schematic structural diagram of a cloud server according to Embodiment 3 of the present invention;

FIG. 9 is a schematic structural diagram of a terminal according to Embodiment 4 of the present invention.

Detailed ways

In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

As shown in FIG. 1, it is a schematic diagram of the system architecture involved in the present invention. The system architecture includes: a cloud server 11 and a terminal 12, wherein the terminal 12 is used for testing the base station 13 to be tested; wherein, the cloud server 11 can be A computer or computer system located in the monitoring center for running server software, specifically, the cloud server 11 stores a test plan list including various base stations and their corresponding test plans, and also stores analysis algorithms for various test data On the one hand, the corresponding test plan can be found and matched according to the identification reported by the terminal 12, such as: parameter test cases and network test cases; on the other hand, it can also be analyzed according to the test data collected by the terminal 12, such as: comparison Check whether the base station parameter information is consistent with the planning parameter information, and determine the antenna feeder connection situation and the antenna feeder blocking situation of the cell corresponding to the base station to be tested according to a pre-stored analysis algorithm.

The terminal 12 can be an intelligent mobile terminal, such as a mobile electronic device such as a smart phone; moreover, the terminal 12 has a built-in GPS, a camera, a gyroscope, etc., to collect the base station parameter information of the base station 13 to be tested, wherein the base station parameter information Specifically, it includes: base station basic information, base station operating parameter information, and base station site information, where the base station basic information mainly includes: base station ID, base station name or base station keyword, base station type, cell ID, cell name, cell frequency, etc.; The parameter information mainly includes: base station longitude and latitude, cell antenna height, cell azimuth, cell antenna downtilt angle, etc.; base station site information mainly includes: cell combining mode, base station antenna type, base station antenna mode, site type, site building Type, site photos (including building panorama, site entrance, roof top panorama, community top view, a sky map every 45 degrees around the site, weak current well map); in addition, the terminal 12 also uses By executing the network test case, the test data in the process of information exchange between the base station 13 to be tested and the terminal 12 can be collected, and at the same time, the test log can also be obtained. Wherein, the network test cases may further include: indoor network test cases, such as: base station level test cases (indoor and outdoor handover), cell level tests (attachment/detachment, voice call CSFB), floor level traversal FTP upload/download test cases ; Outdoor network test cases, such as: base station-level test cases (FTP upload/download drive test), cell-level test cases (attachment/detachment, voice call CSFB).

The technical solutions involved in the present invention are described in detail below through specific solutions, and the present invention includes but is not limited to the following embodiments.

Example 1

As shown in FIG. 2, it is a schematic flowchart of steps of a base station testing method provided in Embodiment 1 of the present invention, and the testing process mainly includes:

Step 21: The cloud server receives the identifier of the base station to be tested sent by the terminal.

The base station to be tested is determined by the terminal.

Step 22: The cloud server searches the stored test plan list according to the identification of the base station to be tested, and matches a test plan corresponding to the identification of the base station to be tested, wherein the test plan includes parameter test cases and network test cases.

The parameter test case may specifically include: collection of basic parameter information of the base station to be tested, collection of base station operating parameter information, and collection of base station on-site information.

The specific network test case can be: using various information exchanges between the terminal and the base station, such as LTE access, voice call CSFB, FTP upload/download, etc., at the same time, collecting various test data during the test process.

Step 23: The cloud server sends the test plan to the terminal, so that the terminal tests the base station to be tested according to the test plan.

In the specific implementation process, the terminal is tested separately according to the parameter test cases and the network test cases in the test plan.

Step 24: The cloud server acquires the test data obtained by the terminal test in real time, and analyzes the test data to obtain a test result for the base station to be tested.

The cloud server of the present invention obtains the test data obtained by the terminal test in real time and performs automatic analysis, thereby avoiding the problems of inaccurate test and untimely feedback of test results caused by manual analysis of the test data obtained by the terminal in the prior art .

Optionally, the cloud server analyzes the test data, which may specifically include at least the following test cases:

Test case one:

The cloud server determines whether the base station parameter information obtained by testing according to the parameter test case in the test data is consistent with the planning parameter information.

For example, compare the base station longitude and latitude, cell antenna height, cell azimuth, cell antenna downtilt angle, etc. in the base station operating parameter information obtained from the test with the planning parameter information. If they are consistent, it indicates the base station operating parameter information of the base station to be tested. If it is correct, there is no need to debug the base station to be tested. If it is inconsistent, testers or other debuggers need to go to the station to debug the base station parameters, so that the base station operating parameter information of the base station to be tested is adjusted to be consistent with the planning parameter information. ; In addition, other base station basic information and base station site information also need to be compared and analyzed in this way, and further decide whether to debug the base station to be tested. Through the test scheme, the basic information of the base station to be tested that does not meet the plan can be reasonably debugged, so that the base station to be tested may perform network access service as a standard base station.

In fact, the single-station test of the base station includes not only the comparison and analysis of the basic information of the base station, but also the analysis of the network information interaction between the base station to be tested and the terminal, which is embodied in the analysis according to the test data obtained during the interaction. Test case two and test case three.

Test case two:

The cloud server determines, according to the test data, whether the cell of the base station to be tested has an antenna-feedback connection.

Optionally, as shown in FIG. 4 , it is a schematic flow chart of the specific execution steps of the test solution 2 of the present invention. The test solution 2 can be analyzed according to the following steps whether the cell of the base station to be tested has a reverse antenna connection:

Step 41: Screen out the test point location information of all cells from the test data.

Step 42: According to the test point location information of each cell, determine whether the cell is a suspected antenna-feedback reversed cell.

Specifically, this step 42 can be specifically executed as:

Step 1: Determine the included angle between the test point and the main direction of the current cell according to the location information of each test point and the base station location information in the cell;

Step 2: Count the proportion of test points whose included angle is greater than the preset angle value in the current cell in the current cell;

Step 3: Determine whether the proportion is greater than the first threshold, and if so, determine that the current cell is a suspected antenna-feedback connection cell; otherwise, determine that the current cell is a normal antenna-feeder connection cell.

Step 43: Count the number of cells determined as suspected antenna-feedback reversed cells in all cells.

Step 44: Determine whether the number of cells is greater than the second threshold, and if so, determine that the cell of the base station to be tested has a reverse antenna connection, otherwise, determine that the cell of the base station to be tested has a normal antenna connection.

As shown in Figure 5, it is a schematic diagram of the coverage of the three cells of the base station to be tested, wherein the three cells A, B, and C are respectively shown as sector-shaped areas, and each cell corresponds to the main direction Li of the cell. The dots with various filling patterns in the circle represent the network communication quality tests performed by the staff around the base station to be tested. The positions of the dots represent the positions of the test points, and the patterns of the dots represent different signal strengths. The dots are small in size and cannot reflect the difference between dots with different signal strengths.

Under normal circumstances, a base station corresponds to 3 cells. If there is a reverse antenna connection, there must be at least two cells with reverse antenna connection. Therefore, when verifying the antenna connection problem of the cell of the base station to be tested:

First, screen out the test point location information of all cells from the test data, for example: the location information of all test points in cell A (the area between the extension lines of the two borders of the sector area of cell A in the figure), all the test point location information of cell B Test point location information and all test point location information of cell C.

Then, for cell A, according to the location information of all the test points and the location information of the base station, the included angle between all the test points and the main direction of the current cell is determined. For example: for the test point a1, test point a2, and test point a3 in cell A, according to the respective test point location information and base station location information, determine the angles α1, α2, α3 between each test point and the main direction of the current cell .

Secondly, among the included angles α1, α2, and α3, the proportion of the test points larger than the preset angle value in the current cell is counted, and it is further determined whether the proportion is larger than the first threshold. Inverse cell, otherwise, determine that the current cell is a normal cell connected to the antenna and feeder. The preset angle value may be 90°, and the value of the first threshold may be 70%.

Next, the antenna-feeder connection situation of cell B and cell C is determined according to the above method.

Finally, count the number of cells in all cells that are determined to be suspected to have reversed antenna connections. Considering that the reverse connection of antennas will inevitably affect at least two cells. When the number of cells is greater than 2, it is determined that the cell of the base station E to be tested has an antenna feeder connection. The reason for being determined to be a suspected antenna-feeder-reverse cell may be other connection problems.

Through the above method, the test data obtained from the field test is used to analyze the reverse connection of the antenna and feeder of the cell to be tested, so that the real test result can be obtained more accurately and effectively, avoiding the need to manually locate the points according to the field test in the prior art. The problem of inaccuracy and low efficiency brought by subjective judgment with the similarities and differences of cell orientation. Moreover, the above method is conducive to the unification of test standards, ensuring that all base stations to be tested are tested with the same test standards, and avoiding differences and inaccuracies caused by manual participation and subjective judgment.

Test case three:

The cloud server determines, according to the test data, whether the cell of the base station to be tested is blocked by the antenna and feeder. Among them, the antenna-feeder blocking means that there is a blocker that blocks the signal between the base station to be tested and the test point, for example, a mountain or an office building can become a blocker.

Optionally, as shown in FIG. 6 , it is a schematic flow chart of the specific execution steps of the test solution 3 of the present invention. The test solution 3 can analyze whether the cell of the base station to be tested is blocked by the antenna and feeder according to the following steps:

Step 61: For any cell: screen out the test point location information of all test points in the cell from the test data, and determine the air interface path loss of each test point.

Optionally, step 61 is specifically executed as: according to the location information of the test point and the location information of the base station in the test data, using the following spatial propagation model formula to determine the air interface path loss of the test point:

为空口路径损耗，所述f为信号频率，所述h_TX为待测试基站的高度，所述d为待测试基站与测试点的水平距离，所述K_c为地貌修正因子，所述A₁、A₂、A₃、B₁、B₂为空间传播模型的系数。Among them, the

is the air interface path loss, the f is the signal frequency, the h _TX is the height of the base station to be tested, the d is the horizontal distance between the base station to be tested and the test point, the K _c is the landform correction factor, the A ₁ , A ₂ , A ₃ , B ₁ , and B ₂ are the coefficients of the spatial propagation model.

It should be noted that the above-mentioned spatial propagation model formula can be specifically transformed into the OKUMURA-HATA model or the COST-HATA model. Specifically, referring to the following table, the model can be selected according to the different values of the signal frequency f. Among them, different spatial propagation models There are different coefficients corresponding to:

Table 1

Step 62: Determine the predicted receiving level value of each test point according to the determined air interface path loss.

Specifically, the predicted receiving level value=air interface transmit power-air interface path loss, wherein the air interface transmit power is generally 20W.

Step 63: Calculate the difference between the measured receiving level value corresponding to each test point and the predicted receiving level value, and count the proportion of the test points whose difference value is greater than the third threshold in the current cell.

Among them, the measured receiving level value is a type of test data collected by using the network test case.

Step 64: Determine whether the ratio is greater than the fourth threshold, and if so, determine that the cell of the base station to be tested is blocked by the antenna feeder; otherwise, determine that the cell of the base station to be tested is not blocked by the antenna feeder.

For each base station, the air interface path loss does exist. However, in order to ensure the network signal strength of the cell covered by the base station, small obstacles can be ignored. Therefore, when determining whether the cell of the base station to be tested is blocked by antenna feeders When , it is necessary to determine the proportion of test points whose difference is greater than the third threshold among all the test points in the current cell. If there is a deviation in the predicted receiving level value, the cell is blocked by the antenna feeder; otherwise, it is determined that the cell is not blocked by the antenna feeder, and the network signal coverage in the cell is good.

It should be noted that, the above-mentioned first threshold, second threshold, third threshold and fourth threshold can be flexibly selected according to the actual test environment, which is not specifically limited in the present invention.

Step 25: The cloud server sends the test result to the terminal.

Optionally, in order to improve the security and authenticity of the test scheme, as shown in FIG. 3, before step 21 is performed, the test process further includes the following steps:

Step 31: Receive terminal location information or base station keyword information sent by the terminal.

Specifically, the terminal location information or the base station keyword information is automatically determined by the terminal according to its own location, and is sent to the cloud server through a tester's confirmation operation. Therefore, the tester does not need to manually input the terminal location information or the base station keyword information, which avoids the situation that the test point does not match the test data caused by the manual input.

Step 32: Match a list of base stations to be tested that includes at least one base station identifier according to the terminal location information or base station keyword information, and send the list of base stations to be tested to the terminal, so that the terminal can determine the base station to be tested from the list of base stations to be tested according to the needs of the user. Test the base station.

Since the test point may not be covered by only one base station, the cloud server will match a series of base station identifiers according to the received terminal location information or base station keyword information to form a list of base stations to be tested; after that, the cloud server will The list of base stations to be tested is sent to the terminal, and then displayed to the tester through the terminal, so that the tester can select the base station to be tested from it.

It can be seen that the execution of the above steps 31 and 32 can bring about the following effects: on the one hand, the terminal location information or base station keyword information obtained by the cloud server is completely determined automatically by the terminal according to its own location, and does not involve manual input by testers, The case of modifying the data, therefore, guarantees the authenticity of the test points and the test data. On the other hand, the cloud server needs to match the list of base stations to be tested according to the obtained terminal location information or base station keyword information, and then send it to the terminal, so that the tester can determine the base station to be tested, thereby realizing the security of the cloud server to the terminal. Verify that the terminal that interacts with the cloud server is the terminal used by the test base station.

Embodiment 2

As shown in FIG. 7, it is a schematic flowchart of steps of a base station testing method provided in Embodiment 2 of the present invention, and the testing process mainly includes:

Step 71: Send the determined identification of the base station to be tested to the cloud server, so that the cloud server searches the stored test plan list according to the identification of the base station to be tested, and matches the identification corresponding to the base station to be tested. test plan.

Optionally, the identity of the base station to be tested is determined in the following manner:

First, the terminal sends terminal location information or base station keyword information to the cloud server, so that the cloud server matches a list of base stations to be tested including at least one base station according to the terminal location information or base station keyword information;

Then, the terminal receives the list of base stations to be tested, and determines the base station to be tested from the list of base stations to be tested according to user requirements.

Step 72: Receive the test plan sent by the cloud server, and test the base station to be tested according to the test plan.

Optionally, the terminal tests the base station to be tested according to the test plan, which specifically includes:

The base station parameter information of the base station to be tested is collected according to the parameter test case in the test plan, wherein the base station parameter information includes: basic information, work parameter information and site information; and,

According to the network test case in the test plan, the network communication status of the base station to be tested is tested, and the network test information of the base station is collected.

Step 73: Send the collected test data to the cloud server in real time, so that the cloud server analyzes the test data and obtains a test result for the base station to be tested.

In this step 73, unlike the prior art, the terminal sends the collected test data to the cloud server in real time, instead of manually analyzing the test data after collecting all the test data, especially for the base station The parameter information is manually compared and the antenna-feeder connection and antenna-feeder blocking conditions are manually determined according to the test data.

Step 74: Receive the test result sent by the cloud server.

It can be seen from the above solution that through the information exchange between the cloud server and the terminal, the terminal to test the base station to be tested and the test data collection can be realized, and the tester does not need to use a variety of test tools to perform multiple tests, which reduces the use of test tools and The complexity of the test, and the terminal sends the collected test data to the cloud server for analysis and processing in real time, avoiding inaccurate test results and inconsistent standards caused by manual analysis, affecting subsequent maintenance and optimization work, and improving analysis and processing. Accuracy and automation, and improve the efficiency of the entire test program. Moreover, since the test data is transmitted in real time, the cloud server can timely detect problems such as false testing and missed testing, so as to conduct re-testing, which completely avoids the tediousness of returning to the site for re-testing in the prior art.

It belongs to the same inventive concept as the above-mentioned method for testing a base station. An embodiment of the present invention further provides a cloud server and a terminal, which are introduced in the following through Embodiment 3 and Embodiment 4 respectively.

As shown in FIG. 8, it is a schematic structural diagram of a cloud server provided by an embodiment of the present invention, and the cloud server mainly includes:

The first receiving unit 81 is used for receiving the identification of the base station to be tested sent by the terminal.

The base station to be tested is determined by the terminal.

The search unit 82 is configured to search the stored test plan list according to the identification of the base station to be tested received by the first receiving unit 81, and to match a test plan corresponding to the identification of the base station to be tested, wherein the The test plan includes parametric test cases and network test cases.

The first sending unit 83 is configured to send the test plan matched by the search unit 82 to the terminal, so that the terminal tests the base station to be tested according to the test plan; and sends the test result to the terminal. described terminal.

a processing unit 84, configured to analyze the test data acquired in real time by the first receiving unit 81 to obtain a test result for the base station to be tested;

Optionally, before receiving the identification of the base station to be tested sent by the terminal, the first receiving unit 81 is further configured to receive terminal location information or base station keyword information sent by the terminal; The base station keyword information matches a list of base stations to be tested that includes at least one base station, and sends the list of base stations to be tested to the terminal through the first sending unit 83, so that the terminal can select the base station to be tested from the list of base stations to be tested according to the needs of the user. to determine the base station to be tested.

Optionally, the processing unit 84 is specifically configured to determine whether the base station parameter information obtained according to the parameter test case test in the test data is consistent with the planning parameter information; and, according to the test data, determine the cell of the base station to be tested. whether there is a reverse connection of the antenna and feeder; and determining whether the cell of the base station to be tested is blocked by the antenna and feeder according to the test data.

Optionally, the processing unit 84 is configured to determine, according to the test data, whether the cell of the base station to be tested has an antenna-feedback connection, which may be specifically performed as: screening out the test point location information of all cells from the test data; For any cell: determine the angle between the test point and the main direction of the current cell according to the location information of any test point and the base station; count the test points in the current cell whose included angle is greater than the preset angle value in the current cell and determine whether the proportion is greater than the first threshold, if so, determine that the current cell is a suspected antenna-feeder-connected cell; otherwise, determine that the current cell is a normal antenna-feeder-connected cell; count all cells that are determined as The number of cells that are suspected to be inversely connected to the antenna; determine whether the number of cells is greater than the second threshold, and if so, determine that the cell of the base station to be tested has a reverse antenna connection, otherwise, determine the cell of the base station to be tested. The antenna connection is normal.

Optionally, the processing unit 84 is configured to determine, according to the test data, whether the cell of the base station to be tested is blocked by an antenna and feeder, which may be specifically executed as follows: sequentially execute for all test points in any cell: from the test data The test point location information of the test point is screened out, and the air interface path loss of the test point is determined; according to the determined air interface path loss, the predicted receiving level value of the test point is determined; Predict the difference of the receiving level value, and count the proportion of the test points whose difference is greater than the third threshold in the current cell; determine whether the proportion is greater than the fourth threshold, and if so, determine that the cell of the base station to be tested exists The antenna and feeder block, otherwise, it is determined that the cell of the base station to be tested is not blocked by the antenna and feeder.

Optionally, when determining the predicted reception level value of the test point according to the determined air interface path loss, the processing unit 84 may specifically perform as follows: according to the test point location information and the base station location information in the test data, use The following spatial propagation model formula determines the air interface path loss for this test point:

为空口路径损耗，所述f为信号频率，所述h_TX为待测试基站的高度，所述d为待测试基站与测试点的水平距离，所述K_c为地貌修正因子，所述A₁、A₂、A₃、B₁、B₂为空间传播模型的系数。Among them, the

is the air interface path loss, the f is the signal frequency, the h _TX is the height of the base station to be tested, the d is the horizontal distance between the base station to be tested and the test point, the K _c is the landform correction factor, the A ₁ , A ₂ , A ₃ , B ₁ , and B ₂ are the coefficients of the spatial propagation model.

Embodiment 4:

As shown in FIG. 9, it is a schematic structural diagram of a terminal according to Embodiment 4 of the present invention, and the terminal mainly includes:

The second sending unit 91 is configured to send the determined identification of the base station to be tested to the cloud server, so that the cloud server searches the stored test plan list according to the identification of the base station to be tested, and matches the test plan list with the identification of the base station to be tested. Test the test plan corresponding to the identification of the base station, and send the collected test data to the cloud server in real time, so that the cloud server analyzes the test data and obtains test results for the base station to be tested.

The second receiving unit 92 is configured to receive a test plan sent by the cloud server, test the base station to be tested according to the test plan, and receive a test result sent by the cloud server.

Optionally, the identity of the base station to be tested is determined in the following manner: the terminal sends the terminal location information or base station keyword information to the cloud server, so that the cloud server matches according to the terminal location information or the base station keyword information. A list of base stations to be tested including at least one base station is obtained; the terminal receives the list of base stations to be tested, and determines the base station to be tested from the list of base stations to be tested according to user requirements.

Optionally, the second receiving unit 92 is specifically configured to collect the base station parameter information of the base station to be tested according to the parameter test case in the test plan, wherein the base station parameter information includes: base station basic information, base station operating parameter information. and base station site information; and, according to the network test case in the test plan, test the network communication status of the base station to be tested, and collect base station network test information.

In addition, it should be noted that the terminal involved in the present invention is generally an intelligent terminal device, and the type of its operating system is not limited, and may be, for example, an IOS system or an Android system. Moreover, the terminal can test and collect various data by integrating various sensing modules or positioning modules. Preferably, in order to facilitate subsequent analysis and processing, two application clients (not shown in the figure) can be integrated in the terminal. ), one for executing parametric test cases and the other for executing network test cases. For example: application client 1 calls the built-in GPS, built-in camera and built-in gyroscope of the terminal to complete the collection of base station parameter information (such as longitude and latitude, antenna height, azimuth, downtilt, etc.) and base station aerial photos/weak current well photos and other information ; The application client 2 interacts with the terminal chip to obtain test data, and completes the collection of test (such as LTE access, voice call CSFB, FTP upload/download, etc.) data and test logs.

In addition, an embodiment of the present invention also provides a system for testing a base station, as shown in FIG. 1 , the system mainly includes: a cloud server 11, a terminal 12, and a base station to be tested 13; wherein, the cloud server 11 is used to receive the terminal The sent identification of the base station to be tested 13; search the stored test plan list according to the identification of the base station to be tested 13, and match the test plan corresponding to the identification of the base station to be tested 13, wherein the test plan includes parameter test cases and network tests use case; send the test plan to the terminal 12; obtain the test data obtained by the test of the terminal 12 in real time, and analyze the test data to obtain the test result for the base station to be tested 13; send the test result to the terminal 12;

The terminal 12 is used to send the determined identification of the base station to be tested 13 to the cloud server 11; to receive the test plan sent by the cloud server 11, and to test the base station to be tested 13 according to the test plan; The collected test data is sent to the cloud server 11 in real time; the test results sent by the cloud server 11 are received.

The invention realizes the standardization of base station verification test data collection, the automation of test data post-processing, the unification of test standards, the simple operation of the test application client, the reduced base station verification test operation complexity, and the reduced technical requirements for testers. The workload of analyzing and processing the test data in the later stage of the test is reduced, the accuracy of the test results can be effectively improved, and the efficiency of the base station verification test can be greatly improved.

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block in the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to the processor of a general purpose computer, special purpose computer, embedded processor or other programmable data processing device to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing device produce Means for implementing the functions specified in a flow or flow of a flowchart and/or a block or blocks of a block diagram.

These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory result in an article of manufacture comprising instruction means, the instructions The apparatus implements the functions specified in the flow or flow of the flowcharts and/or the block or blocks of the block diagrams.

These computer program instructions can also be loaded on a computer or other programmable data processing device to cause a series of operational steps to be performed on the computer or other programmable device to produce a computer-implemented process such that The instructions provide steps for implementing the functions specified in the flow or blocks of the flowcharts and/or the block or blocks of the block diagrams.

Although preferred embodiments of the present invention have been described, additional changes and modifications to these embodiments may occur to those skilled in the art once the basic inventive concepts are known. Therefore, the appended claims are intended to be construed to include the preferred embodiment and all changes and modifications that fall within the scope of the present invention.

It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit and scope of the invention. Thus, provided that these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims (19)

1. A base station testing method, characterized in that the method comprises: The cloud server receives the identification of the base station to be tested sent by the terminal, wherein the base station to be tested is determined by the terminal; The cloud server searches the stored test plan list according to the identification of the base station to be tested, and matches a test plan corresponding to the identification of the base station to be tested, wherein the test plan includes a parameter test case and a network test case ; The cloud server sends the test plan to the terminal, so that the terminal tests the base station to be tested according to the test plan; The cloud server acquires the test data obtained by the terminal test in real time, analyzes the test data, and determines whether the cloud server determines whether the cell of the base station to be tested has an antenna-feedback connection according to the test data; specifically include: Screen out the test point location information of all cells from the test data; According to the test point location information of each cell, determine whether the cell is a suspected antenna-feedback cell; Count the number of cells in all cells that are determined to be suspected antenna feeder-reverse cells; Determine whether the number of cells is greater than the second threshold, and if so, determine that the cell of the base station to be tested has a reverse antenna feeder connection, otherwise, determine that the cell antenna feeder connection of the base station to be tested is normal; Base station test results; The cloud server sends the test result to the terminal. 2. The method according to claim 1, wherein before the cloud server receives the identification of the base station to be tested sent by the terminal, the method further comprises: receiving terminal location information or base station keyword information sent by the terminal; A list of base stations to be tested including at least one base station is matched according to the terminal location information or base station keyword information, and the list of base stations to be tested is sent to the terminal, so that the terminal can select the base station to be tested from the to-be-tested base station according to the user's needs. The base station to be tested is determined in the test base station list. 3. The method of claim 1, wherein the cloud server analyzes the test data, and specifically includes at least the following scheme: The cloud server determines whether the base station parameter information obtained by testing according to the parameter test case in the test data is consistent with the planning parameter information; as well as, The cloud server determines, according to the test data, whether the cell of the base station to be tested is blocked by an antenna and feeder. 4. The method of claim 1, wherein determining whether the cell is a suspected antenna-feedback connection cell according to the test point location information of each cell, specifically comprising: Determine the included angle between the test point and the main direction of the current cell according to the location information of each test point and the base station location information in the cell; Count the proportion of the test points whose included angle is greater than the preset angle value in the current cell in the current cell; It is determined whether the proportion is greater than the first threshold, and if so, it is determined that the current cell is a suspected antenna-feedback connected cell; otherwise, it is determined that the current cell is a normal antenna-feedback connection cell. 5. The method of claim 3, wherein the cloud server determines, according to the test data, whether the cell of the base station to be tested is blocked by an antenna and feeder, specifically comprising: For any area: Screen out the test point location information of all test points in the cell from the test data, and determine the air interface path loss of each test point; Determine the predicted receiving level value of each test point according to the determined air interface path loss; Making a difference between the measured reception level value corresponding to each test point and the predicted reception level value, and count the proportion of the test point whose difference value is greater than the third threshold in the current cell; It is determined whether the proportion is greater than the fourth threshold, and if so, it is determined that the cell of the base station to be tested is blocked by the antenna feeder; otherwise, it is determined that the cell of the base station to be tested is not blocked by the antenna feeder. 6. The method of claim 5, wherein the test point position information of the test point is screened out from the test data, and the air interface path loss of the test point is determined, specifically comprising: According to the test point location information and base station location information in the test data, use the following spatial propagation model formula to determine the air interface path loss of the test point:

Among them, the

is the air interface path loss, the f is the signal frequency, the h _TX is the height of the base station to be tested, the d is the horizontal distance between the base station to be tested and the test point, the K _c is the landform correction factor, the A ₁ , A ₂ , A ₃ , B ₁ , and B ₂ are the coefficients of the spatial propagation model. 7. A method for testing a base station, wherein the method comprises: Send the determined identification of the base station to be tested to the cloud server, so that the cloud server searches the stored test plan list according to the identification of the base station to be tested, and matches the test plan corresponding to the identification of the base station to be tested. ; receiving a test plan sent by the cloud server, and testing the base station to be tested according to the test plan; Send the collected test data to the cloud server in real time, so that the cloud server analyzes the test data, and determines whether the cloud server determines whether the cell of the base station to be tested has an antenna-feedback connection according to the test data. ; specifically: Screen out the test point location information of all cells from the test data; According to the test point location information of each cell, determine whether the cell is a suspected antenna-feedback cell; Count the number of cells in all cells that are determined to be suspected antenna feeder-reverse cells; Determine whether the number of cells is greater than the second threshold, and if so, determine that the cell of the base station to be tested has an antenna-feedback connection; otherwise, determine that the cell-to-cell antenna feeder connection of the base station to be tested is normal; Base station test results; Receive the test result sent by the cloud server. 8. The method of claim 7, wherein the identity of the base station to be tested is determined in the following manner: The terminal sends terminal location information or base station keyword information to the cloud server, so that the cloud server matches a list of base stations to be tested including at least one base station according to the terminal location information or base station keyword information; The terminal receives the list of base stations to be tested, and determines the base station to be tested from the list of base stations to be tested according to user requirements. 9. The method according to claim 7 or 8, wherein the terminal tests the base station to be tested according to the test plan, specifically comprising: The base station parameter information of the base station to be tested is collected according to the parameter test case in the test plan, wherein the base station parameter information includes: basic information, work parameter information and site information; and, According to the network test case in the test plan, the network communication status of the base station to be tested is tested, and the network test information of the base station is collected. 10. A cloud server, comprising: a first receiving unit, configured to receive the identifier of the base station to be tested sent by the terminal, wherein the base station to be tested is determined by the terminal; and, used to acquire test data obtained by the terminal test in real time; a search unit, configured to search a stored test plan list according to the identification of the base station to be tested received by the first receiving unit, and to match a test plan corresponding to the identification of the base station to be tested, wherein the The test plan includes parametric test cases and network test cases; a first sending unit, configured to send the test plan matched by the search unit to the terminal, so that the terminal tests the base station to be tested according to the test plan; and, configured to send the test result to the terminal; A processing unit, configured to analyze the test data obtained by the first receiving unit in real time, and determine whether the cloud server determines whether the cell of the base station to be tested has an antenna-feedback connection according to the test data; specifically, it includes: Screen out the test point location information of all cells from the test data; According to the test point location information of each cell, determine whether the cell is a suspected antenna-feedback cell; Count the number of cells in all cells that are determined to be suspected antenna feeder-reverse cells; Determine whether the number of cells is greater than the second threshold, and if so, determine that the cell of the base station to be tested has a reverse antenna feeder connection, otherwise, determine that the cell antenna feeder connection of the base station to be tested is normal; Base station test results. 11. The cloud server according to claim 10, wherein, The first receiving unit is further configured to receive terminal location information or base station keyword information sent by the terminal before receiving the identifier of the base station to be tested sent by the terminal; The searching unit is further configured to match a list of base stations to be tested including at least one base station according to the terminal location information or base station keyword information, and send the list of base stations to be tested to the terminal through the sending unit, So that the terminal determines the base station to be tested from the list of base stations to be tested according to the user's requirement. 12. The cloud server according to claim 10, wherein the processing unit is specifically configured to determine whether the base station parameter information obtained by testing according to the parameter test case in the test data is consistent with the planning parameter information; as well as, Determine whether the cell of the base station to be tested is blocked by the antenna and feeder according to the test data. 13. The cloud server according to claim 10, wherein when the processing unit determines whether the cell is a suspected antenna-feedback connection cell according to the test point location information of each cell, the processing unit is specifically used for: Determine the included angle between the test point and the main direction of the current cell according to the location information of each test point and the base station location information in the cell; Count the proportion of the test points whose included angle is greater than the preset angle value in the current cell in the current cell; It is determined whether the proportion is greater than the first threshold, and if so, it is determined that the current cell is a suspected antenna-feedback connected cell; otherwise, it is determined that the current cell is a normal antenna-feedback connection cell. 14. The cloud server according to claim 12, wherein when determining whether the cell of the base station to be tested is blocked by an antenna and feeder according to the test data, the processing unit is specifically configured to: Execute sequentially for all test points in any cell: Screen out the test point location information of the test point from the test data, and determine the air interface path loss of the test point; Determine the predicted receiving level value of the test point according to the determined air interface path loss; Make a difference between the measured reception level value and the predicted reception level value, and count the proportion of the test points whose difference value is greater than the third threshold in the current cell; It is determined whether the proportion is greater than the fourth threshold, and if so, it is determined that the cell of the base station to be tested is blocked by the antenna feeder; otherwise, it is determined that the cell of the base station to be tested is not blocked by the antenna feeder. 15. The cloud server according to claim 14, wherein when determining the predicted receiving level value of the test point according to the determined air interface path loss, the processing unit is specifically configured to: According to the test point location information and base station location information in the test data, use the following spatial propagation model formula to determine the air interface path loss of the test point:

Among them, the

is the air interface path loss, the f is the signal frequency, the h _TX is the height of the base station to be tested, the d is the horizontal distance between the base station to be tested and the test point, the K _c is the landform correction factor, the A ₁ , A ₂ , A ₃ , B ₁ , and B ₂ are the coefficients of the spatial propagation model. 16. A terminal, characterized in that, comprising: The second sending unit is configured to send the determined identification of the base station to be tested to the cloud server, so that the cloud server searches the stored test plan list according to the identification of the base station to be tested, and matches the test plan list with the identification of the base station to be tested. The test plan corresponding to the identification of the base station; and, for sending the collected test data to the cloud server in real time, so that the cloud server analyzes the test data, and determines that the cloud server determines the test data according to the test data. Whether the cell of the base station to be tested has an antenna feeder connection; specifically including: screening out the test point location information of all the cells from the test data; determining whether the cell is a suspected antenna feeder connection according to the test point location information of each cell Reverse cells; count the number of cells in all cells that are determined to be suspected antenna-feedback reverse cells; determine whether the number of cells is greater than the second threshold; if so, determine that the cell of the base station to be tested has antenna-feedback reverse connections, Otherwise, it is determined that the cell antenna feeder connection of the base station to be tested is normal; the test result for the base station to be tested is obtained; The second receiving unit is configured to receive the test plan sent by the cloud server, and test the base station to be tested according to the test plan; and, be configured to receive the test result sent by the cloud server. 17. The terminal according to claim 16, wherein the identity of the base station to be tested is determined in the following manner: The terminal sends terminal location information or base station keyword information to the cloud server, so that the cloud server matches a list of base stations to be tested including at least one base station according to the terminal location information or base station keyword information; The terminal receives the list of base stations to be tested, and determines the base station to be tested from the list of base stations to be tested according to user requirements. 18. The terminal according to claim 16 or 17, wherein the second receiving unit is specifically configured to: The base station parameter information of the base station to be tested is collected according to the parameter test case in the test plan, wherein the base station parameter information includes: base station basic information, base station working parameter information and base station site information; and, According to the network test case in the test plan, the network communication status of the base station to be tested is tested, and the network test information of the base station is collected. 19. A base station testing system, comprising: a cloud server and a terminal; Wherein, the cloud server is used to receive the identification of the base station to be tested sent by the terminal; search the stored test plan list according to the identification of the base station to be tested, and match the test plan corresponding to the identification of the base station to be tested. , wherein the test plan includes a parameter test case and a network test case; the test plan is sent to the terminal; the test data obtained by the terminal test is acquired in real time, and the test data is analyzed to determine the The cloud server determines, according to the test data, whether the cell of the base station to be tested has an antenna-feedback connection; specifically, it includes: screening out the test point position information of all cells from the test data; according to the test point position of each cell The information determines whether the cell is a suspected antenna-feedback reverse cell; counts the number of cells determined as a suspected antenna-feedback reverse cell in all cells; Determine whether the number of cells is greater than the second threshold, and if so, determine that the cell of the base station to be tested has an antenna-feedback connection; otherwise, determine that the cell-to-cell antenna feeder connection of the base station to be tested is normal; the test result of the base station; sending the test result to the terminal; The terminal is configured to send the determined identification of the base station to be tested to the cloud server; receive a test plan sent by the cloud server, and test the base station to be tested according to the test plan; Send to the cloud server in real time; receive the test result sent by the cloud server.

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