WO2020034616A1

WO2020034616A1 - Method for acquiring signal coverage effect graph, and network device

Info

Publication number: WO2020034616A1
Application number: PCT/CN2019/075797
Authority: WO
Inventors: 李欢
Original assignee: 华为技术有限公司
Priority date: 2018-08-13
Filing date: 2019-02-22
Publication date: 2020-02-20
Also published as: CN110831030B; CN110831030A

Abstract

Disclosed in the embodiments of the present application is a method for acquiring a signal coverage effect graph, for acquiring a signal coverage effect graph of an antenna and a surrounding environment, so as to display, in an image way, an actual signal coverage situation of the antenna, thereby quickly locating, by means of the signal coverage effect graph, an obstacle located within the coverage of the antenna, thereby effectively solving the problem that the obstacle blocks a signal. Said method of the present application comprises: acquiring a real-scene image, the real-scene image being an image of the surrounding environment of an antenna; determining, according to physical parameter information concerning the antenna, a first three-dimensional signal coverage range of the antenna; and mapping the first three-dimensional signal coverage range to the real-scene image, to obtain a signal coverage effect graph of the antenna in the surrounding environment of the antenna.

Description

Method for acquiring signal coverage effect map and network equipment

This application claims the priority of a Chinese patent application filed with the State Intellectual Property Office of China on August 13, 2018, with application number 201810916984.6, and the invention name is "A Method for Acquiring a Signal Coverage Effect Map and Network Equipment." Incorporated by reference in this application.

Technical field

The present application relates to the field of communication technologies, and in particular, to a method for acquiring a signal coverage effect map and a network device.

Background technique

With the development of network communication technology, the wireless network bearer transmission band has gradually evolved to millimeter wave. For millimeter wave, although its transmission efficiency is high, it naturally has the problem of weak penetration ability, and basically cannot achieve through-walls. Therefore, for the scenario where 5G mobile communication systems use millimeter waves to achieve ultra-high transmission frequencies, how to prevent signal blocking and solve the blocking problem is an urgent problem to be solved.

At present, the existing network maintenance methods through text and signaling cannot solve the above problems. Therefore, this application proposes a new network maintenance method to solve the above-mentioned signal blocking problem.

Summary of the Invention

The embodiments of the present application provide a method and network device for acquiring a signal coverage effect map, which are used to obtain a signal coverage effect map of an antenna in an environment around the antenna, so as to graphically present a signal coverage situation of the antenna in a real scene, so that The signal coverage effect map is used to quickly locate obstacles within the coverage area of the antenna signal, thereby effectively solving the problem of signal occlusion by obstacles.

In order to achieve the above technical objectives, the embodiments of the present application propose the following technical solutions:

A first aspect of the embodiments of the present application provides a method for acquiring a signal coverage effect map, including: firstly obtaining an actual image of an antenna and an environment surrounding the antenna, and secondly, determining a first number of the antenna according to physical parameter information of the antenna corresponding to the actual image. A three-dimensional signal coverage area. Finally, the first three-dimensional signal coverage area of the antenna is mapped to a real-life image of the corresponding antenna to obtain a signal coverage effect map of the antenna in the surrounding environment of the antenna. In other words, the solution The signal coverage area is projected into the real scene image corresponding to the antenna to obtain the signal coverage effect map of the antenna's signal coverage area in the real scene image, thereby realizing the actual signal coverage of the antenna in a graphical manner of the signal coverage effect map. The signal coverage of the antenna in the real scene is presented graphically, so that obstacles within the signal coverage area of the antenna can be quickly located through the signal coverage effect map, thereby effectively solving the problem of signal obstruction of the obstacles.

With reference to the first aspect described above, in a first possible implementation manner of the first aspect, the physical parameter information of the antenna includes: antenna height, azimuth, tilt angle, antenna power parameters, and the like, and determination of the first three-dimensional signal coverage of the antenna The method is: first, determine the second three-dimensional signal coverage of the antenna according to the antenna height, azimuth and inclination; second, based on the antenna power parameters, use the electromagnetic wave theory to theoretically calculate the third three-dimensional signal coverage of the antenna; finally, the above The overlapping portion of the second three-dimensional signal coverage and the third three-dimensional signal coverage is determined as the first three-dimensional signal coverage of the antenna. It should be understood that the approximate orientation and azimuth of the antenna coverage area are determined according to the antenna height, azimuth, and inclination, in other words, the area that the antenna cannot cover is excluded; the theoretical calculation of the antenna corresponding to the antenna power parameters and the principle of electromagnetic waves Theoretical coverage, and finally comprehensively consider the above two aspects to obtain a more accurate three-dimensional signal coverage of the antenna. It should be noted that during the theoretical calculation of the signal coverage of the antenna, the antenna parameters are not limited to power parameters, frequency parameters, and wavelength parameters, and may include other parameter information required for theoretical calculations. This application does not place any restrictions on this. .

With reference to the first aspect or the first possible implementation manner of the first aspect, in a second possible implementation manner of the first aspect, mapping the first three-dimensional signal coverage range to a real-world image may include a specific implementation manner : According to the position of the antenna, the above-mentioned first three-dimensional signal coverage range and the real scene image are subjected to a fitting operation to obtain an antenna signal coverage effect map. The above-mentioned fitting operation may be implemented by a corresponding three-dimensional image rendering component.

With reference to the first aspect, the first possible implementation manner of the first aspect, and the second possible implementation manner of the first aspect, in a third possible implementation manner of the first aspect, the method further includes: If there is a signal coverage area with a key performance indicator KPI lower than a preset threshold in the signal coverage effect map, mark the signal coverage area with the KPI lower than a preset threshold in the signal coverage effect map; or If there is a signal coverage area with a specific anomaly in the signal coverage effect map, mark the signal coverage area with a specific anomaly in the signal coverage effect map.

With reference to the first aspect above, in any one of the first to third possible implementation manners of the first aspect, in a fourth possible implementation manner of the first aspect, the method further includes: receiving an instruction Information, the instruction information is used to instruct to obtain a real-view image of the antenna; then the method for obtaining a real-view image may be: controlling the image acquisition device on the antenna to perform an image and generate the real-view image according to the above-mentioned instruction information.

A second aspect of the embodiments of the present application provides a network device, and the network device has a function of implementing the foregoing first aspect or any of the possible implementation methods of the first aspect. This function can be realized by hardware, and can also be implemented by hardware executing corresponding software. The hardware or software includes one or more modules corresponding to the above functions.

A third aspect of the embodiments of the present application provides a network device, including: a processor and a memory; the memory is configured to store a computer execution instruction, and when the network device is running, the processor executes the computer execution instruction stored in the memory, In this way, the network device executes the method for acquiring a signal coverage effect diagram according to the first aspect or any possible implementation manner of the first aspect.

According to a fourth aspect of the embodiments of the present application, a computer-readable storage medium is provided. The computer-readable storage medium stores instructions. When the computer-readable storage medium is run on a computer, the computer can execute the first aspect or any of the first aspects. Method for acquiring a signal coverage effect map in a possible implementation manner.

A fifth aspect of the embodiments of the present application provides a computer program product containing instructions, which when executed on a computer, enables the computer to perform the acquisition of a signal coverage effect diagram of the first aspect or any one of the possible implementation manners of the first aspect. method.

According to a sixth aspect of the embodiments of the present application, a chip system is provided. The chip system includes a processor configured to support an execution function network element to implement the functions involved in the first aspect or any possible implementation manner of the first aspect. In a possible design, the chip system further includes a memory, which is used to store program instructions and data necessary for executing the function network element. The chip system can be composed of chips, and can also include chips and other discrete devices.

Among them, for the technical effects brought by any one of the implementation manners in the second to sixth aspects, refer to the technical effects brought by the different implementation manners in the first aspect, which will not be repeated here.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to explain the technical solutions of the embodiments of the present application more clearly, the accompanying drawings used in the description of the embodiments are briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present application. Those of ordinary skill in the art can also obtain other drawings according to these drawings without paying creative labor.

FIG. 1 is a schematic diagram of a network system provided in an embodiment of the present application;

2 is a schematic diagram of an embodiment of a method for acquiring a signal coverage effect map according to an embodiment of the present application;

FIG. 3 is a schematic diagram of a real-life image provided by an embodiment of the present application; FIG.

FIG. 4 is an effect diagram of a signal coverage effect diagram provided by an embodiment of the present application; FIG.

5 is a schematic diagram of graphical network maintenance provided in an embodiment of the present application;

6 is a schematic diagram of a hardware structure of a network device provided in an embodiment of the present application;

FIG. 7 is a schematic structural diagram of a network device provided in an embodiment of the present application.

detailed description

The following describes the embodiments of the present application with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all of the embodiments. Those of ordinary skill in the art may know that with the development of technology and the emergence of new scenarios, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.

An embodiment of the present application provides a method for obtaining a signal coverage effect map, which is used to obtain a signal coverage effect map of an antenna and a surrounding environment, and implements an actual signal coverage situation of the antenna in a graphical manner, so as to quickly locate the signal coverage effect map. Obstacles within the coverage area of the antenna, thereby effectively solving the problem of obstacles blocking signals. At the same time, the actual signal coverage of the antenna is presented in a graphical manner, and the real scene situation within the signal coverage can be seen dynamically and intuitively in order to better perform network maintenance.

The term "and / or" appearing in this application can be an association relationship describing an associated object, which means that there can be three kinds of relationships, for example, A and / or B can mean: A exists alone, and A and B exist simultaneously. There are three cases of B alone. In addition, the character "/" in this application generally indicates that the related objects before and after are an "or" relationship.

The terms "first" and "second" in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way are interchangeable where appropriate, so that the embodiments described herein can be implemented in an order other than what is illustrated or described herein. Furthermore, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or device that includes a series of steps or modules need not be limited to those explicitly listed Those steps or modules may instead include other steps or modules not explicitly listed or inherent to these processes, methods, products or equipment. The naming or numbering of steps in this application does not mean that the steps in the method flow must be executed in the time / logical order indicated by the naming or numbering. The named or numbered process steps can be implemented according to the Technical purposes change the execution order, as long as the same or similar technical effects can be achieved. The division of modules appearing in this application is a logical division. In actual applications, there can be other divisions. For example, multiple modules can be combined or integrated in another system, or some features can be ignored. , Or not executed. In addition, the displayed or discussed mutual coupling or direct coupling or communication connection may be through some interfaces. The indirect coupling or communication connection between the modules may be electrical or other similar forms. There are no restrictions in the application. In addition, the modules or sub-modules described as separate components may or may not be physically separated, may or may not be physical modules, or may be distributed into multiple circuit modules, and some or all of them may be selected according to actual needs. Module to achieve the purpose of the solution of this application.

FIG. 1 is a schematic diagram of a network system provided in an embodiment of the present application.

As shown in FIG. 1, the network system includes an operation and maintenance subsystem, a control subsystem, and an antenna subsystem. The antenna subsystem includes a plurality of antennas, and an image acquisition device such as a camera is installed on each antenna. The above-mentioned FIG. 1 still shows the antenna and the surrounding environment of the building such as an office building, a community, a residence, a commercial center, and the like.

Among them, the antenna subsystem is used to collect real-life images corresponding to the surrounding environment of the antenna. Optionally, the antenna subsystem includes an antenna controller, and the antenna controller is configured to control a camera on the antenna to collect corresponding real-world images in the surrounding environment of the antenna. Optionally, the antenna subsystem is configured to use a camera on the antenna to capture a corresponding real-life image in the surrounding environment of the antenna under the direct control of the control subsystem. It should be noted that the real-world image described in this application may be a panoramic image within a 360 ° range of the antenna, or an image in the surrounding environment of the antenna corresponding to the antenna radiation direction, and there is no limitation on this application.

The control subsystem is used to obtain a real-world image. Optionally, the control subsystem receives the real-world image sent by the antenna subsystem. Optionally, the control subsystem is configured to receive instruction information indicating acquisition of a real-view image, and control the camera on the antenna to perform image acquisition and generate a real-view image according to the instruction information.

The control subsystem is also used to determine the first three-dimensional signal coverage area of the antenna according to the physical parameter information of the antenna, and map the first three-dimensional signal coverage area of the antenna to the real-world image to obtain a signal coverage effect diagram of the antenna in the surrounding environment of the antenna. . It can be understood that the control subsystem has a real-world fitting function, which is used to perform image processing based on the real-world image corresponding to the antenna's signal coverage and the surrounding environment of the antenna to obtain the signal coverage effect of the antenna in the real-world image.

The control subsystem can also be used to automatically analyze and process real-world images to identify obstacles, buildings, traffic, people, and drones.

The operation and maintenance subsystem is used for network maintenance, and has the function of integrating the signal coverage of different antennas or cells, so as to visualize the overall network signal coverage effect of one or more cells.

As can be seen from Figure 1 above, there may be tall buildings in the surrounding environment of the antenna. These buildings will affect the signal coverage of the antenna to a certain extent, especially using electromagnetic waves with low penetrability such as millimeter waves for data Transmission network systems, including but not limited to 5G mobile communication systems, can easily cause signal blocking and affect signal coverage.

By using the method for acquiring a signal coverage effect provided by the embodiments of the present application, the above-mentioned signal occlusion can be quickly located, and the network signal coverage can be adaptively adjusted, thereby effectively solving the above-mentioned signal occlusion problem.

It should be noted that the network system shown in FIG. 1 is only a network system used in the method of the present application. The method in the embodiment of the present application is applicable but not limited to the network system shown in FIG. 1.

In order to facilitate understanding of the method for obtaining the signal coverage effect map provided in the embodiment of the present application, the technical solution in the present application will be described in detail below with reference to specific embodiments.

FIG. 2 is a schematic diagram of an embodiment of a method for acquiring a signal coverage effect map according to an embodiment of the present application.

201. The network device obtains a real-world image, where the real-world image is an image of the surrounding environment of the antenna.

As described above, the method for acquiring the real-world image by the network device is similar to the method for acquiring the control subsystem described above, and is not repeated here. Figure 3 shows the real-world image corresponding to the antenna collected by the camera.

202. The network device determines a second three-dimensional signal coverage area of the antenna according to the antenna height, azimuth, and inclination.

The azimuth of the antenna is essentially the azimuth when the antenna is installed. Similarly, the inclination of the antenna is the orientation of the antenna when it is installed. It is easy to think that based on the orientation and azimuth of the antenna, you can roughly determine the coverage of a three-dimensional cone-like antenna signal The height of the antenna determines the position of the cone center of the cone. Therefore, the above-mentioned physical information can be used to roughly determine a three-dimensional range. It can also be understood that according to the antenna orientation and orientation, the area that is impossible to cover the antenna can be roughly excluded. It should be noted that the basis for determining the second three-dimensional range includes, but is not limited to, antenna height, azimuth, and inclination, and may also include other installation information of the antenna, which is not limited in this application.

203. The network device calculates the third three-dimensional signal coverage of the antenna according to the antenna power parameter by using the principle of electromagnetic waves.

Optionally, based on the principle of electromagnetic waves, the parameters of the antenna wavelength, frequency, and transmission function are calculated to obtain the second three-dimensional signal coverage. It is easy to think that the theoretical signal coverage of the antenna can be roughly estimated from the above antenna parameters, that is, Third three-dimensional signal coverage. It should be noted that during the theoretical calculation of the signal coverage of the antenna, the antenna parameters are not limited to power parameters, frequency parameters, and wavelength parameters, and may include other parameter information required for theoretical calculations. This application does not place any restrictions on this. .

204. The network device determines the overlapping part of the second three-dimensional signal coverage area and the third three-dimensional signal coverage area as the first three-dimensional signal coverage area of the antenna.

By determining the overlapping area of the second three-dimensional signal coverage area and the third three-dimensional signal coverage area to determine the first three-dimensional signal coverage area, various physical parameter information of the antenna (including antenna height, azimuth, tilt angle, and antenna power parameters can be comprehensively considered. , Antenna wavelength parameters and antenna frequency parameters) can make the coverage of the first three-dimensional signal more accurate.

It can be understood that the above steps 202 to 203 are a specific implementation manner for determining the coverage of the first three-dimensional signal of the antenna according to the physical parameter information of the antenna described in FIG. 1. The physical parameter information of the antenna includes: Not limited to antenna height, azimuth, tilt, antenna power parameters, antenna wavelength parameters, and antenna frequency parameters. The physical parameter information of the antenna may also include other other parameter information related to the signal coverage of the antenna. Nothing is done in this application. limit.

205. The network device maps the first three-dimensional signal coverage area to a real-world image to obtain a signal coverage effect diagram of the antenna in the antenna surrounding environment.

Optionally, the foregoing method for obtaining the signal coverage effect map may specifically be: fitting the first three-dimensional signal coverage area of the antenna with the real-world image corresponding to the antenna surrounding environment to obtain a signal coverage effect map according to the position of the antenna, in other words, The first three-dimensional signal coverage range of the antenna is fitted to the real scene image to obtain the actual coverage effect of the antenna in the real scene. It should be noted that the above fitting operation can use the corresponding three-dimensional rendering component to implement the above fitting function, which is not repeated here. Optionally, the antenna position includes latitude and longitude. In the above fitting operation process, it may further include:

Optionally, if there is a signal coverage area with key performance indicators (KPI) below a preset threshold in the signal coverage effect of the antenna, the network device marks the signal coverage area with the KPI below the preset threshold In the signal coverage effect diagram of the antenna.

Optionally, if there is a specific abnormal signal coverage area in the signal coverage effect of the antenna, the network device marks the signal coverage area with the specific abnormality in the antenna signal coverage effect diagram.

The above marking method may specifically use a specific color for rendering, so that the signal coverage area where the KPI is lower than a preset threshold or there is a specific abnormality is intuitively displayed in the signal coverage effect diagram. Among them, the above-mentioned specific anomalies include, but are not limited to, the signal coverage range obstructed by obstacles such as buildings and the signal coverage range overlapped between different antennas.

It should be noted that a real-world image may be within the signal coverage of multiple antennas. In this case, the network device can fit the signal coverage of multiple antennas into a real-world image to obtain multiple antenna signals. The coverage effect of the signal in the real-world image. As shown in Figure 4, the signal coverage of three antennas is fitted in a real-world image. Among them, the oval mark part in Figure 4 is essentially a three-dimensional space instead of a two-dimensional plane. The figure is only for convenience. Its use is marked as oval as shown in FIG. 4. It can be clearly seen from Fig. 4 that there is a specific abnormal phenomenon of the building blocking signal, that is, there is a tall building in the radiation direction of an antenna in Fig. 4 blocking the signal, which can cover the signal coverage of the above-mentioned blocked part. Specific markings are not shown in FIG. 4. It can also be clearly seen from FIG. 4 that there is a specific anomaly in which the signal coverage areas of different antennas overlap with each other, and the above-mentioned overlapping signal coverage areas can also be specifically marked, which is not shown in FIG. 4.

It should also be noted that, through the above technical solution, the signal coverage of a cell or a base station can be further obtained, and no limitation is imposed on this application. It is easy to understand that multiple antennas are usually deployed in a cell, and a base station covers multiple cells at the same time.

In the embodiment of the present application, the actual signal coverage effect diagram of the antenna in the real-world image is presented in an image manner, so that the signal coverage area is visualized, and the obstructions of the antenna in the actual signal coverage area can be quickly located to further block the blocked signal. Adjust the coverage appropriately to enhance the coverage of the antenna signal. In addition, you can determine the unreasonable coverage covered by two or more antennas according to the signal coverage effect map, adjust the parameters and location of the antennas in a timely manner, and allocate them reasonably. Signal coverage of the antenna.

Further, the network device can also dynamically adjust the antenna array based on the image change of the signal coverage effect map and the change of antenna parameters to improve the network coverage effect, and can see the real-world effect of network optimization in real time.

The method for acquiring the signal effect map in the embodiment of the present application will be described in detail below with reference to a specific application scenario.

FIG. 5 is a schematic diagram of graphical network maintenance provided in an embodiment of the present application.

As shown in Figure 5, it includes:

501. The operation and maintenance center receives a user instruction.

Among them, a user instruction received by a user at an operations maintenance center (OMC) refers to a signal coverage effect diagram sent by a user to view a part or all of a signal coverage area of a base station. For example, in real mode, the user selects the target base station on the OMC client or OMC browser to view the signal coverage effect map corresponding to the target base station. It is easy to understand that OMC can be set to view the signal coverage effect map in a specified mode. In the above real-life mode, users can view the signal coverage effect map. If they are not in the specified mode, users cannot view the signal coverage effect map, but can view the signal coverage deployment diagram. For example, in video mode, the user can view the signal coverage deployment diagram of the target base station. It is easy to understand that the schematic diagram of signal coverage deployment can be understood as a theoretical signal coverage and does not include the actual scene corresponding to the coverage. It can be understood that the user instruction in this embodiment refers specifically to the instruction in the real scene mode.

502. The operation and maintenance center obtains cell configuration information.

The cell configuration information includes: the number of antennas in the cell, the correspondence between the cell and the antennas, and physical parameter information of all antennas in the cell.

In a specific implementation manner, after the OMC client or the OMC browser learns the target base station according to a user instruction, the OMC client or the OMC browser may prompt the user to select a cell corresponding to the target base station for browsing, and if the user does not select it, the default view is Effect coverage of all cells in the target base station.

503. The operation and maintenance center sends the cell configuration information to the graphic association controller.

504: The graphics association controller sends a real-world image acquisition request to the antenna controller.

505. The antenna controller controls an image acquisition device on the antenna to perform real-world image acquisition.

506. The antenna controller sends the real-view images corresponding to all antennas in the cell to the graphic association controller.

507. The graphic correlation controller fits the signal coverage of the antenna to the real-world image according to the physical parameter information of the antenna, and obtains an antenna signal coverage effect map.

508. The graphic association controller sends a signal coverage effect chart of all antennas in the cell to the operation and maintenance center.

509. The operation and maintenance center associates and integrates the signal coverage effect maps of all antennas in the cell to obtain the signal coverage effect map of the cell.

Among them, the antenna control can implement all the functions of the antenna subsystem described in FIG. 1, the graphic association controller can implement all the functions of the control subsystem, and the operation and maintenance center can implement all the functions of the operation and maintenance subsystem. I will not repeat them here.

The above mainly introduces the solutions provided in the embodiments of the present application. It can be understood that, in order to implement the foregoing functions, the foregoing network device includes a hardware structure and / or a software module corresponding to performing each function. Those skilled in the art should easily realize that the present application can be implemented in the form of hardware or a combination of hardware and computer software in combination with the modules and algorithm steps of the examples described in the embodiments disclosed herein. Whether a certain function is performed by hardware or computer software-driven hardware depends on the specific application of the technical solution and design constraints. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

In terms of hardware structure, the control device in the embodiment corresponding to FIG. 2 may be implemented by one physical device, or may be implemented by multiple physical devices, or may be a logical function module in one physical device. This is not specifically limited.

For example, the network device described in FIG. 2 may be implemented by the network device in FIG. 6. FIG. 6 is a schematic diagram of a hardware structure of a network device according to an embodiment of the present application. The network device 600 includes at least one processor 601, a communication line 602, a memory 603, and at least one communication interface 604.

The processor 601 may be a general-purpose central processing unit (CPU), a microprocessor, an application-specific integrated circuit (server IC), or one or more for controlling the program execution of the solution of the present application. Integrated circuit.

The communication line 602 may include a path for transmitting information between the aforementioned components.

The communication interface 604 uses any device such as a transceiver to communicate with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area networks (WLAN), etc. .

The memory 603 may be a read-only memory (ROM) or other type of static storage device that can store static information and instructions, a random access memory (random access memory, RAM), or other types that can store information and instructions Dynamic storage device, which can also be electrically erasable and programmable read-only memory (electrically programmable, read-only memory (EEPROM)), read-only compact disc (compact disc-read-only memory (CD-ROM) or other compact disc storage, optical disc storage (Including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or can be used to carry or store desired program code in the form of instructions or data structures and can be used by a computer Any other media accessed, but not limited to this. The memory may exist independently, and is connected to the processor through the communication line 602. The memory can also be integrated with the processor.

The memory 603 is configured to store a computer execution instruction for executing the solution of the present application, and the processor 601 controls execution. The processor 601 is configured to execute computer execution instructions stored in the memory 603, thereby implementing a method for acquiring a signal coverage effect map provided by the following embodiments of the present application.

Optionally, the computer-executable instructions in the embodiments of the present application may also be referred to as application program codes, which are not specifically limited in the embodiments of the present application.

In a specific implementation, as an embodiment, the processor 601 may include one or more CPUs, such as CPU0 and CPU1 in FIG. 6.

In a specific implementation, as an embodiment, the network device 600 may include multiple processors, such as the processor 601 and the processor 608 in FIG. 6. Each of these processors may be a single-CPU processor or a multi-CPU processor. A processor herein may refer to one or more devices, circuits, and / or processing cores for processing data (such as computer program instructions).

In a specific implementation, as an embodiment, the network device 600 may further include an output device 605 and an input device 606. The output device 605 communicates with the processor 601 and can display information in a variety of ways. For example, the output device 605 may be a liquid crystal display (LCD), a light emitting diode (LED) display device, a cathode ray tube (CRT) display device, or a projector. Wait. The input device 606 is in communication with the processor 601 and can receive user input in a variety of ways. For example, the input device 606 may be a mouse, a keyboard, a touch screen device, or a sensing device.

The above network device 600 may be a general-purpose device or a special-purpose device. In a specific implementation, the network device 600 may be a desktop computer, a portable computer, a network server, a personal digital assistant (PDA), a mobile phone, a tablet computer, a wireless terminal device, an embedded device, or a device having a similar structure in FIG. 6 device. The embodiment of the present application does not limit the type of the network device 600.

In the embodiment of the present application, the functional modules of the network device may be divided according to the foregoing method examples. For example, each functional module may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The above integrated modules may be implemented in the form of hardware or software functional modules. It should be noted that the division of the modules in the embodiments of the present application is schematic, and is only a logical function division. In actual implementation, there may be another division manner.

For example, in a case where each functional module is divided in an integrated manner, FIG. 7 shows a schematic structural diagram of a network device. The network device in the embodiment of the present application may implement the following functions through the network device described in FIG. 7.

As shown in FIG. 7, the network device 70 includes a processing module 701;

The processing module 701 is configured to obtain a real-view image, where the real-view image is an image of the surrounding environment of the antenna, and determine a first three-dimensional signal coverage range of the antenna according to the physical parameter information of the antenna; and then cover the first three-dimensional signal. The range is mapped onto the real scene image to obtain a signal coverage effect map of the antenna in the antenna surrounding environment.

Optionally, in an example, the physical parameter information of the antenna includes: antenna height, azimuth, inclination, and antenna power parameters; the processing module 701 is specifically configured to: according to the antenna height, the azimuth And the inclination angle to determine the second three-dimensional signal coverage of the antenna; according to the antenna power parameter, the third-dimensional signal coverage of the antenna is calculated by using the electromagnetic wave principle; the second three-dimensional signal coverage and An overlapping portion of the third three-dimensional signal coverage area is determined as the first three-dimensional signal coverage area.

Optionally, in an example, the processing module 701 is specifically configured to perform a fitting operation on the coverage area of the first three-dimensional signal and the real-world image according to the position of the antenna to obtain the signal coverage. Effect diagram.

Optionally, in an example, the processing module 701 is further configured to: if there is a signal coverage area with a key performance indicator KPI lower than a preset threshold in the signal coverage effect map, In the figure, the signal coverage area with the KPI lower than a preset threshold is marked; or, if there is a specific abnormal signal coverage area in the signal coverage effect map, the existence of the signal coverage area Signal coverage areas for specific anomalies are marked.

Optionally, in an example, the network device further includes: a receiving module 702, configured to receive instruction information, where the instruction information is used to instruct obtaining the real-world image; and the processing module 701 is specifically configured to: The instruction information controls an image acquisition device on the antenna to perform image acquisition and generate the real-view image.

Wherein, all relevant content of each step involved in the above method embodiment can be referred to the functional description of the corresponding functional module, which will not be repeated here.

In this embodiment, the network device 70 is presented in the form of dividing each functional module in an integrated manner. "Module" herein may refer to application-specific integrated circuits (ASICs), circuits, processors and memories that execute one or more software or firmware programs, integrated logic circuits, and / or other functions that may provide the above functions Device. In a simple embodiment, those skilled in the art may think that the network device 70 may take the form shown in FIG. 6.

For example, the processor 601 in FIG. 6 may call a computer execution instruction stored in the memory 603 to cause the network device 70 to execute the method for acquiring a signal coverage effect map in the foregoing method embodiment.

Specifically, the function / implementation process of the processing module 701 and the receiving module 702 in FIG. 7 may be implemented by the processor 601 in FIG. 6 calling a computer execution instruction stored in the memory 603. Alternatively, the function / implementation process of the processing module 701 of FIG. 7 may be implemented by the processor 601 in FIG. 6 calling a computer execution instruction stored in the memory 603, and the function / implementation process of the receiving module 702 in FIG. 7 may be performed by FIG. 6 Communication interface 604 to implement.

Since the network device provided in the embodiment of the present application can be used to perform the foregoing method for acquiring the signal coverage effect map, the technical effects that can be obtained can refer to the foregoing method embodiments, and details are not described herein again.

In the above embodiment, the network device 70 is presented in the form of dividing each functional module in an integrated manner. Certainly, the embodiment of the present application may also divide each function module of the execution function network element and the control function network element corresponding to each function, which is not specifically limited in the embodiment of the present application.

Optionally, an embodiment of the present application provides a chip system, and the chip system includes a processor, which is configured to support a user-plane functional entity to implement the method for acquiring the foregoing signal coverage effect diagram. In a possible design, the chip system further includes a memory. This memory is used to store the necessary program instructions and data of the network equipment. The chip system may be composed of a chip, and may also include a chip and other discrete devices, which are not specifically limited in the embodiments of the present application.

In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, it may be implemented in whole or in part in the form of a computer program product.

The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions according to the embodiments of the present application are wholly or partially generated. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be from a website site, computer, server, or data center Transmission by wire (for example, coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (for example, infrared, wireless, microwave, etc.) to another website site, computer, server, or data center. The computer-readable storage medium may be any available medium that can be stored by a computer or a data storage device such as a server, a data center, and the like that includes one or more available medium integration. The available medium may be a magnetic medium (for example, a floppy disk, a hard disk, a magnetic tape), an optical medium (for example, a DVD), or a semiconductor medium (for example, a solid state disk (Solid State Disk (SSD)), and the like.

A person of ordinary skill in the art may understand that all or part of the steps in the various methods of the foregoing embodiments may be implemented by a program instructing related hardware. The program may be stored in a computer-readable storage medium. The storage medium may include: ROM, RAM, disk or optical disc, etc.

The method for acquiring the signal coverage effect map and the network equipment provided by the embodiments of the present application have been described in detail above. Specific examples are used in this document to explain the principle and implementation of the present application. The descriptions of the above embodiments are only for help Understand the methods and core ideas of this application; at the same time, for those of ordinary skill in the art, according to the ideas of this application, there will be changes in the specific implementation and scope of application. In summary, the content of this specification is not It should be understood as a limitation on this application.

Claims

A method for acquiring a signal coverage effect map, which includes:

Obtaining a real-world image, where the real-world image is an image of the surrounding environment of the antenna;

Determining a first three-dimensional signal coverage range of the antenna according to the physical parameter information of the antenna;

The first three-dimensional signal coverage area is mapped to the real scene image to obtain a signal coverage effect diagram of the antenna in the antenna surrounding environment.
The method according to claim 1, wherein the physical parameter information of the antenna comprises: antenna height, azimuth, tilt angle and antenna power parameters;

The determining the coverage area of the first three-dimensional signal according to the physical parameter information of the antenna includes:

Determining a second three-dimensional signal coverage range of the antenna according to the antenna height, the azimuth, and the tilt angle;

Calculating the third three-dimensional signal coverage of the antenna by using the electromagnetic wave principle according to the antenna power parameter;

An overlapping portion of the second three-dimensional signal coverage area and the third three-dimensional signal coverage area is determined as the first three-dimensional signal coverage area.
The method according to claim 1 or 2, wherein the mapping of the first three-dimensional signal coverage area onto the real scene image obtains a signal coverage effect map of the antenna in a surrounding environment of the antenna. include:

According to the position of the antenna, a fitting operation is performed on the first three-dimensional signal coverage area and the real scene image to obtain the signal coverage effect map.
The method according to any one of claims 1 to 3, wherein the method further comprises:

If there is a signal coverage area with a key performance indicator KPI lower than a preset threshold in the signal coverage effect map, mark the signal coverage area with the KPI lower than a preset threshold in the signal coverage effect map;

Alternatively, if there is a signal coverage area with a specific abnormality in the signal coverage effect diagram, mark the signal coverage area with a specific anomaly in the signal coverage effect diagram.
The method according to any one of claims 1 to 4, further comprising:

Receiving instruction information, where the instruction information is used to instruct to obtain the real-view image corresponding to the antenna;

The acquiring the real scene image includes:

And controlling the image acquisition device on the antenna to perform image acquisition and generate the real-view image according to the instruction information.
A network device, comprising:

A processing module, configured to obtain a real-world image, which is an image of the surrounding environment of the antenna; and determine a first three-dimensional signal coverage area of the antenna according to the physical parameter information of the antenna; Map to the real scene image to obtain a signal coverage effect diagram of the antenna in the antenna surrounding environment.
The network device according to claim 6, wherein the physical parameter information of the antenna comprises: antenna height, azimuth, inclination and antenna power parameters; and the processing module is specifically configured to:

Determining a second three-dimensional signal coverage range of the antenna according to the antenna height, the azimuth, and the tilt angle;

Calculating the third three-dimensional signal coverage of the antenna by using the electromagnetic wave principle according to the antenna power parameter;

An overlapping portion of the second three-dimensional signal coverage area and the third three-dimensional signal coverage area is determined as the first three-dimensional signal coverage area.
The network device according to claim 6 or 7, wherein the processing module is specifically configured to:

According to the position of the antenna, a fitting operation is performed on the first three-dimensional signal coverage area and the real scene image to obtain the signal coverage effect map.
The network device according to any one of claims 6 to 8, wherein the processing module is further configured to:

If there is a signal coverage area with a key performance indicator KPI lower than a preset threshold in the signal coverage effect map, mark the signal coverage area with the KPI lower than a preset threshold in the signal coverage effect map;

Alternatively, if there is a signal coverage area with a specific abnormality in the signal coverage effect diagram, mark the signal coverage area with a specific anomaly in the signal coverage effect diagram.
The network device according to any one of claims 6 to 9, wherein the network device further comprises:

A receiving module, configured to receive instruction information, where the instruction information is used to instruct to obtain the real-view image corresponding to the antenna;

The processing module is specifically configured to control an image acquisition device on the antenna to perform image acquisition and generate the real-view image according to the instruction information.
A chip is characterized in that it includes:

A processing unit and a storage unit; the storage unit is configured to store computer operation instructions;

The processing unit is configured to execute the method for acquiring a signal coverage effect map according to any one of claims 1 to 5 by invoking the computer operation instruction.
A computer-readable storage medium, characterized in that the computer-readable storage medium is used to store computer operation instructions, and when the computer operation instructions are run on a computer, the computer is caused to execute the above claims 1 to 5 The method for acquiring a signal coverage effect map according to any one of the foregoing.