CN118200959A

CN118200959A - Network quality detection method and device, storage medium and electronic device

Info

Publication number: CN118200959A
Application number: CN202410216240.9A
Authority: CN
Inventors: 赵洪伟; 谭元珍
Original assignee: Qingdao Haier Technology Co Ltd; Haier Smart Home Co Ltd; Haier Uplus Intelligent Technology Beijing Co Ltd
Current assignee: Qingdao Haier Technology Co Ltd; Haier Smart Home Co Ltd; Haier Uplus Intelligent Technology Beijing Co Ltd
Priority date: 2024-02-27
Filing date: 2024-02-27
Publication date: 2024-06-14

Abstract

The application discloses a network quality detection method and device, a storage medium and an electronic device, and relates to the technical field of intelligent families, wherein the network quality detection method comprises the following steps: acquiring an aerial packet of a plurality of home devices in a first area, wherein the plurality of home devices are connected with a target WIFI device by WIFI, and the aerial packet is a data packet transmitted between the home devices and the target WIFI device; analyzing a high-dimensional feature from the aerial packet, and determining first network quality information of a first position of the corresponding home equipment according to the high-dimensional feature, wherein the high-dimensional feature is used for indicating network quality of the WIFI connection; and determining network quality of different positions in the first area according to the first positions and the first network quality information, wherein the first positions and the first network quality information are in one-to-one correspondence.

Description

Network quality detection method and device, storage medium and electronic device

Technical Field

The application relates to the technical field of smart families, in particular to a network quality detection method and device, a storage medium and an electronic device.

Background

Currently, with the popularity of wireless networks, more and more people are beginning to use wireless networks. However, many users often experience poor or interrupted signals when using a wireless network, which can severely impact the user's experience. While poor signals are likely to be the cause of the user's home wireless signal environment, resulting in insufficient strength of the wireless signal. Thus, detection and analysis of the user's home wireless signal environment is becoming increasingly important.

In the traditional detection and analysis of wireless network signals, users often adopt a manual measurement mode, so that time and effort are consumed, a certain technical method is needed, and the measurement difficulty is high and inaccurate.

Aiming at the traditional wireless network signal detection method in the prior art, a user often adopts a manual measurement mode, so that the time and the labor are consumed, and the technical difficulty is high; resulting in problems of great difficulty and inaccuracy of measurement, etc., no effective solution has been proposed yet.

Disclosure of Invention

The embodiment of the application provides a network quality detection method and system, a storage medium and an electronic device, which at least solve the problems that in the prior art, the traditional wireless network signal detection method is time-consuming, labor-consuming and high in technical difficulty, and the measurement is difficult and inaccurate due to the fact that a user often adopts a manual measurement mode.

According to an embodiment of the present application, there is provided a method for detecting network quality, including: acquiring an aerial packet of a plurality of home devices in a first area, wherein the plurality of home devices are connected with a target WIFI device by WIFI, and the aerial packet is a data packet transmitted between the home devices and the target WIFI device; analyzing a high-dimensional feature from the aerial packet, and determining first network quality information of a first position of the corresponding home equipment according to the high-dimensional feature, wherein the high-dimensional feature is used for indicating network quality of the WIFI connection; and determining network quality of different positions in the first area according to the first positions and the first network quality information, wherein the first positions and the first network quality information are in one-to-one correspondence.

In one exemplary embodiment, parsing out high-dimensional features from the over-the-air package includes: and carrying out data analysis on the air packet to obtain equipment related information of the target WIFI equipment, wherein the equipment related information comprises: communication protocol, transmission rate of data packet, network bandwidth data; performing data preprocessing on the equipment-related information to improve the data quality of the equipment-related information, wherein the data preprocessing comprises the following steps: data cleaning and data conversion; and extracting the high-dimensional characteristics from the processed equipment related information.

In one exemplary embodiment, determining network quality for different locations in the first area based on the plurality of first locations and the plurality of first network quality information includes: inputting the first positions and the first network quality information into a preset prediction model for processing so as to predict second network quality information corresponding to second positions except the first positions in the first area; analyzing the plurality of first network quality information and the plurality of second network quality information through a data mining technology to obtain network quality parameters of different positions in the first area, wherein the network quality parameters are used for indicating network quality.

In an exemplary embodiment, after analyzing the plurality of first network quality information and the plurality of second network quality information by using a data mining technology to obtain network quality parameters of different locations in the first area, the method further includes: generating a network quality thermodynamic diagram of the first area according to the network signal intensities of different positions in the first area, wherein the network quality thermodynamic diagram comprises a plurality of areas with different colors, and the network signal intensities corresponding to the areas with different colors are different; the network quality thermodynamic diagram is transmitted to a first object.

In an exemplary embodiment, after obtaining the network quality parameters of the different locations in the first area, the method further comprises: determining a plurality of first subareas of which the network quality is lower than a first threshold value in the first area according to the network quality parameters of the different positions; acquiring environment information of the plurality of first sub-areas through the plurality of home devices; and carrying out network quality analysis on the plurality of first subareas according to the environment information and the network quality parameters corresponding to the plurality of first subareas to obtain a network quality improvement scheme, wherein the network quality improvement scheme is used for improving the network quality of the plurality of first subareas.

In an exemplary embodiment, the method further comprises: under the condition that a first customized home request of a second object is received, acquiring first structural data of a second area corresponding to the second object, wherein the first customized home request is used for setting home equipment in the second area; matching a plurality of third areas in a cloud server according to the first structural data, wherein the similarity between the second structural data of the plurality of third areas and the first structural data is larger than a second threshold; acquiring a first customized household scheme of the third areas and a network quality thermodynamic diagram corresponding to the first customized household scheme, wherein the first customized household scheme is used for indicating a plurality of categories of household equipment contained in the third areas and position information of the household equipment of each category; and determining a target third area with highest network quality score according to the network quality thermodynamic diagrams, and recommending a target first customized household scheme corresponding to the target third area to the second object, wherein the network quality score is used for indicating the comprehensive score of the network quality of a plurality of positions in the third areas.

In an exemplary embodiment, the method further comprises: acquiring a network quality thermodynamic diagram of a fourth area corresponding to a second customized home plan under the condition that a second customized home request of a third object is received, wherein the second customized home request carries the second customized home plan, and the second customized home request is used for indicating that home equipment is arranged in a fifth area corresponding to the third object according to the second customized home plan; determining a second subarea of which the network quality is lower than a third threshold value in the fourth area according to the network quality thermodynamic diagram of the fourth area, and determining first household equipment arranged in the second subarea according to the second customized household scheme; performing parameter adjustment on the first household equipment according to the network quality parameters of the second subarea to obtain second household equipment; and setting the second household equipment in the fifth area according to the second customized household scheme.

According to another embodiment of the present application, there is also provided a network quality detection apparatus, including: the acquisition module is used for acquiring air packets of a plurality of home devices in a first area, wherein the plurality of home devices are connected with a target WIFI device by WIFI, and the air packets are data packets transmitted between the home devices and the target WIFI device; the analysis module is used for analyzing high-dimensional characteristics from the aerial packet, and determining first network quality information of a first position where the corresponding household equipment is located according to the high-dimensional characteristics, wherein the high-dimensional characteristics are used for indicating network quality of the WIFI connection; and the determining module is used for determining the network quality of different positions in the first area according to the first positions and the first network quality information, wherein the first positions and the first network quality information are in one-to-one correspondence.

According to yet another aspect of the embodiments of the present application, there is also provided a computer-readable storage medium having a computer program stored therein, wherein the computer program is configured to perform the above-described network quality detection method when run.

According to still another aspect of the embodiments of the present application, there is further provided an electronic device including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the method for detecting network quality through the computer program.

In the embodiment of the application, firstly, capturing the air packets of all household devices in a first area, wherein the household devices in the first area are connected with a target WIFI device by WIFI, and the air packets are data packets transmitted between the household devices and the target WIFI device; analyzing high-dimensional characteristics for indicating the network quality of the WIFI connection from the air packet, and determining first network quality information of a first position where the corresponding household equipment is located according to the high-dimensional characteristics; determining network quality of different positions in the first area according to the obtained first positions and the first network quality information; by adopting the scheme, the detection of the wireless signal of the whole house can be automatically completed, the detection speed is high, and the accuracy is high. Therefore, the problems of time and labor consumption, high technical difficulty and high measurement difficulty and inaccuracy caused by the fact that a traditional wireless network signal detection method in the related technology is adopted by a user frequently in a manual measurement mode are solved.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.

In order to more clearly illustrate the embodiments of the application or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, and it will be obvious to a person skilled in the art that other drawings can be obtained from these drawings without inventive effort.

FIG. 1 is a schematic diagram of a hardware environment of an alternative network quality detection method according to an embodiment of the present application;

FIG. 2 is a flow chart of an alternative network quality detection method according to an embodiment of the present application;

FIG. 3 is a system architecture diagram of an alternative wireless signal remote analysis system in accordance with an embodiment of the present application;

FIG. 4 is a flow chart of an alternative network quality detection method according to an embodiment of the present application;

Fig. 5 is a block diagram of an alternative network quality detection apparatus according to an embodiment of the present application.

Detailed Description

In order that those skilled in the art will better understand the present application, a technical solution in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, shall fall within the scope of the present application.

It should be noted that the terms "first," "second," and the like in the description and the claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

According to an aspect of an embodiment of the present application, a method for detecting network quality is provided. The network quality detection method is widely applied to full-house intelligent digital control application scenes such as intelligent Home (Smart Home), intelligent Home equipment ecology, intelligent Home (INTELLIGENCE HOUSE) ecology and the like. Alternatively, in the present embodiment, the above-described network quality detection method may be applied to a hardware environment constituted by the terminal device 102 and the server 104 as shown in fig. 1. As shown in fig. 1, the server 104 is connected to the terminal device 102 through a network, and may be used to provide services (such as application services and the like) for a terminal or a client installed on the terminal, a database may be set on the server or independent of the server, for providing data storage services for the server 104, and cloud computing and/or edge computing services may be configured on the server or independent of the server, for providing data computing services for the server 104.

The network may include, but is not limited to, at least one of: wired network, wireless network. The wired network may include, but is not limited to, at least one of: a wide area network, a metropolitan area network, a local area network, and the wireless network may include, but is not limited to, at least one of: WIFI (WIRELESS FIDELITY ), bluetooth. The terminal device 102 may not be limited to a PC, a mobile phone, a tablet computer, an intelligent air conditioner, an intelligent smoke machine, a refrigerator device, an intelligent oven, an intelligent cooking range, an intelligent washing machine, an intelligent water heater, an intelligent washing device, an intelligent dish washer, an intelligent projection device, an intelligent television, an intelligent clothes hanger, an intelligent curtain, an intelligent video, an intelligent socket, an intelligent sound box, an intelligent fresh air device, an intelligent kitchen and toilet device, an intelligent bathroom device, an intelligent sweeping robot, an intelligent window cleaning robot, an intelligent mopping robot, an intelligent air purifying device, an intelligent steam box, an intelligent microwave oven, an intelligent kitchen appliance, an intelligent purifier, an intelligent water dispenser, an intelligent door lock, and the like.

In this embodiment, a method for detecting network quality is provided and applied to the terminal device, and fig. 2 is a flowchart of an alternative method for detecting network quality according to an embodiment of the present application, where the flowchart includes the following steps:

step S202, acquiring air packets of a plurality of home devices in a first area, wherein the plurality of home devices are connected with a target WIFI device by WIFI, and the air packets are data packets transmitted between the home devices and the target WIFI device;

it should be noted that, the target WIFI device may be understood as a router device in a home, or other devices that may provide a wireless network.

Step S204, analyzing a high-dimensional feature from the aerial packet, and determining first network quality information of a first position where the corresponding home equipment is located according to the high-dimensional feature, wherein the high-dimensional feature is used for indicating network quality of the WIFI connection;

Step S206, determining network quality of different locations in the first area according to the first locations and the first network quality information, where the first locations and the first network quality information are in one-to-one correspondence.

In the embodiment of the application, firstly, capturing the air packets of all household devices in a first area, wherein the household devices in the first area are connected with a target WIFI device by WIFI, and the air packets are data packets transmitted between the household devices and the target WIFI device; analyzing high-dimensional characteristics for indicating the network quality of the WIFI connection from the air packet, and determining first network quality information of a first position where the corresponding household equipment is located according to the high-dimensional characteristics; determining network quality of different positions in the first area according to the obtained first positions and the first network quality information; by adopting the scheme, the detection of the wireless signal of the whole house can be automatically completed, the detection speed is high, and the accuracy is high; therefore, the problem that in the related technology, the traditional wireless network signal detection method is solved, a user often adopts a manual measurement mode, so that time and labor are consumed, and the technical difficulty is high; resulting in problems of great difficulty and inaccuracy in measurement.

Alternatively, the high-dimensional features may be parsed from the air packet by the following implementation manners, which specifically include: and carrying out data analysis on the air packet to obtain equipment related information of the target WIFI equipment, wherein the equipment related information comprises: communication protocol, transmission rate of data packet, network bandwidth data; performing data preprocessing on the equipment-related information to improve the data quality of the equipment-related information, wherein the data preprocessing comprises the following steps: data cleaning and data conversion; and extracting the high-dimensional characteristics from the processed equipment related information.

Analyzing the captured air packet to obtain relevant information of the target WIFI device (i.e. the relevant information of the device), specifically, the method may include: the method comprises the steps of communication protocol related information, network bandwidth use condition, data packet transmission rate, message content of WIFI communication, network security condition of WIFI communication, network quality condition of WIFI network and the like; then, carrying out data preprocessing on the related information of the equipment, and improving the data quality, wherein the data preprocessing process can comprise cleaning, sorting, converting and the like; and then extracting high-dimensional characteristics from the processed device-related information.

It should be noted that the high-dimensional features are features related to network performance, network security, and network quality; the method can specifically comprise the following characteristics:

timestamp: each log of the WIFI wireless communication comprises a time stamp, and the occurrence time is recorded;

signal strength: the strength of the WIFI signal, and analyzing the signal coverage range and the connection stability;

channel: the relation between the channel where the WIFI equipment (namely the target WIFI equipment) is located and the adjacent channel is used for analyzing signal interference and channel selection;

Data transmission speed: the data transmission speed of the WIFI equipment is used for analyzing network congestion and equipment performance;

connection state: the connection state of the WIFI device, e.g., connected, disconnected, etc.; analyzing the connection stability and fault diagnosis of the equipment;

time delay: the WIFI equipment is connected with the service platform for time delay, and stability from the equipment to the service platform is analyzed;

Packet loss rate: the WIFI equipment is connected with the service platform, the loss in the specified bytes is reserved by 0% -100%, and the service connectivity from the equipment to the service platform is analyzed;

and (3) a router: and the WIFI equipment survives in the dynamic routing table, and the heartbeat persistence from the equipment to the service platform is analyzed.

Optionally, the data preprocessing on the device-related information may be specifically implemented by the following steps:

1. Data cleaning: cleaning the original data, including removing repeated data, processing missing values, processing abnormal values, unifying data formats and the like, so as to ensure the quality and accuracy of the data;

2. Data conversion: converting and processing the cleaned data, which may involve data format conversion, data field extraction, data merging, etc., for subsequent analysis and application;

3. And (3) data storage: the cleaned and converted data is stored in a database or data warehouse for subsequent analysis and querying.

The whole process needs to be specifically processed and optimized by combining the service requirements and the data characteristics so as to ensure that the cleaned and converted data can meet the requirements of practical application.

Optionally, determining the network quality of different locations in the first area according to the plurality of first locations and the plurality of first network quality information includes: inputting the first positions and the first network quality information into a preset prediction model for processing so as to predict second network quality information corresponding to second positions except the first positions in the first area; analyzing the plurality of first network quality information and the plurality of second network quality information through a data mining technology to obtain network quality parameters of different positions in the first area, wherein the network quality parameters are used for indicating network quality.

The network quality information of a plurality of points where the household equipment is located can be obtained through analyzing the air packet, in order to obtain the network quality information of the position where the household equipment is not arranged in the household, the obtained plurality of first positions and the obtained plurality of first network quality information are required to be input into a preset prediction model for processing, and the extracted characteristics are trained and predicted by using a machine learning algorithm, so that second network quality information of a plurality of second positions except the plurality of first positions in the household (first region) is predicted; then, the network quality information is deeply analyzed and predicted through machine learning and data mining technologies, and network quality parameters of all positions in the home are determined, wherein the network quality parameters can comprise: sensitivity, bandwidth, noise interference resistance, adjacent channel interference resistance, bit error rate, etc. of each point.

Based on the above steps, the method further includes, after analyzing the plurality of first network quality information and the plurality of second network quality information by using a data mining technique to obtain network quality parameters of different locations in the first area: generating a network quality thermodynamic diagram of the first area according to the network signal intensities of different positions in the first area, wherein the network quality thermodynamic diagram comprises a plurality of areas with different colors, and the network signal intensities corresponding to the areas with different colors are different; the network quality thermodynamic diagram is transmitted to a first object.

For users, detailed network quality parameters such as bandwidth, anti-noise interference capability and the like are unintelligible, and the users only concern about which positions in the family have good network signals, so that faster network speed can be obtained; therefore, after the network quality parameters of each position in the family are determined, the obtained information can be visualized about the pain points of the user, and the WIFI signal intensity and the interference (namely the network signal intensity) of each point in the family household pattern diagram are displayed to the user in a thermodynamic diagram form; and then transmitting the generated network quality thermodynamic diagram to the first object, wherein the network quality thermodynamic diagram comprises a plurality of subareas with different colors, and each color corresponds to a network signal intensity value or interval.

Alternatively, different thermodynamic diagrams may be generated based on other network quality parameters for presentation to the user, such as network speed, interference, etc., and may be adjusted based on user requirements, as the application is not limited in this regard.

The index range of the signal intensity of the WIFI device is shown in table 1:

TABLE 1

Optionally, after obtaining the network quality parameters of different locations in the first area, the method further includes: determining a plurality of first subareas of which the network quality is lower than a first threshold value in the first area according to the network quality parameters of the different positions; acquiring environment information of the plurality of first sub-areas through the plurality of home devices; and carrying out network quality analysis on the plurality of first subareas according to the environment information and the network quality parameters corresponding to the plurality of first subareas to obtain a network quality improvement scheme, wherein the network quality improvement scheme is used for improving the network quality of the plurality of first subareas.

After network quality parameters of different positions in a household are determined, some subareas with poor network quality can be detected, the evaluation criterion of the network quality can be a comprehensive score of each network quality parameter, or evaluation can be performed according to user requirements for a certain parameter, for example, a user needs to download a movie at a faster network speed, evaluation can be performed according to the network speed, or the user needs to play games more smoothly due to lower network interference, and evaluation can be performed according to the network interference. After the first subareas are determined, the reasons for poor network quality of the first subareas can be comprehensively analyzed by combining the environmental information of different positions in the home, and a solution is provided, so that the user is helped to improve the quality of the home network.

It should be noted that, environmental factors that affect the network quality of different areas may include: the coverage of the router is insufficient, the signals are interfered by excessive sundries around the router, and interference objects such as walls exist around the position of the equipment; in addition, the network quality is poor due to the problems of too small coverage of the router, aging of hardware equipment and the like; for these problems, the following optimization schemes can be given to the user:

1. placement position: prompting a user to place the router at a home center position, avoiding the barrier from blocking signal transmission, and ensuring wide signal coverage;

2. upgrading the antenna: if the router supports replacement of the antenna, the original antenna can be replaced by purchasing an antenna with a stronger new number;

3. adjusting the channel: in the router setting, an attempt can be made to adjust the frequency channel of the wireless signal to avoid interference with other wireless devices;

4. updating firmware: updating the firmware of the router regularly to ensure that the equipment has the latest optimized setting and security functions;

5. using a signal booster: signal enhancers are used in homes to enhance signal coverage, especially in large area homes;

6. Adjusting signal power: in the router setting, the power of the wireless signal can be tried to be adjusted, and the transmitting range of the signal is properly increased;

7. And (3) cleaning at regular intervals: sundries around the router are cleaned regularly, the surrounding environment is kept clean, and signals are prevented from being blocked.

Optionally, the method further comprises: under the condition that a first customized home request of a second object is received, acquiring first structural data of a second area corresponding to the second object, wherein the first customized home request is used for setting home equipment in the second area; matching a plurality of third areas in a cloud server according to the first structural data, wherein the similarity between the second structural data of the plurality of third areas and the first structural data is larger than a second threshold; acquiring a first customized household scheme of the third areas and a network quality thermodynamic diagram corresponding to the first customized household scheme, wherein the first customized household scheme is used for indicating a plurality of categories of household equipment contained in the third areas and position information of the household equipment of each category; and determining a target third area with highest network quality score according to the network quality thermodynamic diagrams, and recommending a target first customized household scheme corresponding to the target third area to the second object, wherein the network quality score is used for indicating the comprehensive score of the network quality of a plurality of positions in the third areas.

Based on the analysis method of network quality, the method can also be used for recommending an intelligent home installation scheme for a user, and when a second object requests furniture customization, a plurality of third areas similar to the house type structure of the user, namely a plurality of families, are matched from a cloud server according to data such as house type diagrams in the second object family (namely the first structure data); and then, acquiring customized home schemes and corresponding network quality thermodynamic diagrams of the families, namely acquiring the arrangement modes of home equipment in the families and the network quality conditions of corresponding different positions, determining the family with the highest comprehensive network quality according to the network quality thermodynamic diagrams, and recommending a target first customized home scheme corresponding to the family to a second object.

It should be noted that, the above-mentioned first structural data includes, but is not limited to, house type map data, and may further include data with finer layers, for example, data such as thickness, material composition, etc. of a wall body somewhere in a home, and the "house type map" is used as an example, and the first structural data is not limited thereto.

Optionally, a plurality of first customized home schemes and network quality thermodynamic diagrams corresponding to a plurality of third areas can be directly recommended to the user, so that the user can select the customized home schemes more meeting the user requirements.

Optionally, the method further comprises: acquiring a network quality thermodynamic diagram of a fourth area corresponding to a second customized home plan under the condition that a second customized home request of a third object is received, wherein the second customized home request carries the second customized home plan, and the second customized home request is used for indicating that home equipment is arranged in a fifth area corresponding to the third object according to the second customized home plan; determining a second subarea of which the network quality is lower than a third threshold value in the fourth area according to the network quality thermodynamic diagram of the fourth area, and determining first household equipment arranged in the second subarea according to the second customized household scheme; performing parameter adjustment on the first household equipment according to the network quality parameters of the second subarea to obtain second household equipment; and setting the second household equipment in the fifth area according to the second customized household scheme.

In another application scenario, a user wants to install an intelligent refrigerator in a kitchen, but worry about the fact that network quality of the intelligent refrigerator is too poor and use is affected due to the fact that the intelligent refrigerator is far away from a router, the user can acquire a corresponding network quality thermodynamic diagram according to a customized household scheme selected by the user, so that the user can intuitively see the network quality condition in the kitchen, meanwhile, an installer can acquire detailed network quality information of the position, and accordingly the customized scheme of the intelligent refrigerator is determined in a targeted mode, for example, the network quality of the position is poor, and when household equipment is customized, signal receiving capacity of the customized intelligent refrigerator equipment can be properly enhanced, and therefore user requirements are met.

In an alternative embodiment, the present application proposes an alternative wireless signal remote analysis system, as shown in fig. 3, and fig. 3 is a system architecture diagram of an alternative wireless signal remote analysis system according to an embodiment of the present application, including:

the wireless signal detection module is used for analyzing the WIFI intensity of a home area through network packet capturing aiming at the WIFI equipment of a user home, and the network packet capturing technology comprises the following steps: user power detection, bluetooth wireless packet capturing, WIFI wireless packet capturing, USB log packet capturing and other technologies; the network packet capturing can be specifically performed through one or more of a 485 packet capturing module, an RS232 packet capturing module and a USB packet capturing module; receiving the grabbed air packet through a 485 grabbing packet receiving module, and outputting a detection result;

the remote analysis module is used for carrying out remote analysis on the detection result output by the wireless signal detection module, so as to realize the analysis processing of the user household WIFI equipment and finally obtain an analysis result;

The user side display module is used for displaying the detection and analysis results of the household wireless signals to the user, and the user can check the intensity of the household wireless signals at any time and know how to conduct targeted improvement.

Based on the wireless signal remote analysis system, the application provides an optional network quality detection method, and the specific flow is shown in fig. 4, and comprises the following steps:

Step S401, powering up wireless equipment (namely the terminal equipment) and connecting wires with a network;

step S402, the wireless equipment after power-on performs signal transmission, and automatically grabs a WIFI module air packet;

Step S403, analyzing the captured air packet, uploading the system, and obtaining related information of the WIFI device (i.e. the related information of the device) including related information of a communication protocol, a service condition of a network bandwidth, a transmission rate of a data packet, a message content of the WIFI communication, a network security condition of the WIFI communication, and a network quality condition of the WIFI device;

Step S404, preprocessing data, extracting features, and visualizing the grabbed information by using a machine learning period and a deep learning algorithm;

step S405, displaying the WIFI signal intensity and interference of each point in the house type graph in a form of a thermodynamic diagram (corresponding to the network quality thermodynamic diagram);

And step S406, carrying out deep analysis and prediction on the log data by adopting a machine learning and data mining technology, outputting diagnosis results, including sensitivity, bandwidth, anti-noise interference capability, adjacent channel interference resistance, bit error rate and the like of each point in the house type graph (namely, the network quality parameters), giving a solution, and finally feeding back to a user or a technician.

From the description of the above embodiments, it will be clear to a person skilled in the art that the method according to the above embodiments may be implemented by means of software plus the necessary general hardware platform, but of course also by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising several instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method of the various embodiments of the present application.

In this embodiment, a device for detecting network quality is further provided, and the device for detecting network quality is used to implement the foregoing embodiments and preferred embodiments, which have already been described and will not be described again. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.

FIG. 5 is a block diagram of an alternative network quality detection apparatus according to an embodiment of the present application; as shown in fig. 5, includes:

the obtaining module 52 is configured to obtain an air packet of a plurality of home devices in a first area, where the plurality of home devices all establish WIFI connection with a target WIFI device, and the air packet is a data packet transmitted between the home device and the target WIFI device;

The parsing module 54 is configured to parse a high-dimensional feature from the air packet, and determine first network quality information of a first location where the corresponding home device is located according to the high-dimensional feature, where the high-dimensional feature is used to indicate network quality of the WIFI connection;

A determining module 56, configured to determine network quality of different locations in the first area according to the first locations and the first network quality information, where the first locations and the first network quality information are in one-to-one correspondence.

Through the device, the air packets of all the household devices in the first area are firstly grabbed, the household devices in the first area are connected with the target WIFI device through WIFI, and the air packets are data packets transmitted between the household devices and the target WIFI device; analyzing high-dimensional characteristics for indicating the network quality of the WIFI connection from the air packet, and determining first network quality information of a first position where the corresponding household equipment is located according to the high-dimensional characteristics; determining network quality of different positions in the first area according to the obtained first positions and the first network quality information; by adopting the scheme, the detection of the wireless signal of the whole house can be automatically completed, the detection speed is high, and the accuracy is high; therefore, the problem that in the related technology, the traditional wireless network signal detection method is solved, a user often adopts a manual measurement mode, so that time and labor are consumed, and the technical difficulty is high; resulting in problems of great difficulty and inaccuracy in measurement.

Optionally, the parsing module 54 is further configured to parse the data of the air packet to obtain device related information of the target WIFI device, where the device related information includes: communication protocol, transmission rate of data packet, network bandwidth data; performing data preprocessing on the equipment-related information to improve the data quality of the equipment-related information, wherein the data preprocessing comprises the following steps: data cleaning and data conversion; and extracting the high-dimensional characteristics from the processed equipment related information.

Optionally, the determining module 56 is further configured to input a plurality of the first locations and a plurality of the first network quality information into a preset prediction model for processing, so as to predict second network quality information corresponding to a plurality of second locations except the plurality of first locations in the first area; analyzing the plurality of first network quality information and the plurality of second network quality information through a data mining technology to obtain network quality parameters of different positions in the first area, wherein the network quality parameters are used for indicating network quality.

Optionally, the parsing module 54 is further configured to generate a network quality thermodynamic diagram of the first area according to network signal intensities of different locations in the first area, where the network quality thermodynamic diagram includes a plurality of areas with different colors, and network signal intensities corresponding to the plurality of areas with different colors are all different; the network quality thermodynamic diagram is transmitted to a first object.

Optionally, the determining module 56 is further configured to determine a plurality of first sub-areas in the first area with network quality lower than a first threshold according to the network quality parameters of the different locations; acquiring environment information of the plurality of first sub-areas through the plurality of home devices; and carrying out network quality analysis on the plurality of first subareas according to the environment information and the network quality parameters corresponding to the plurality of first subareas to obtain a network quality improvement scheme, wherein the network quality improvement scheme is used for improving the network quality of the plurality of first subareas.

Optionally, the determining module 56 is further configured to obtain, when receiving a first customized home request of a second object, first structural data of a second area corresponding to the second object, where the first customized home request is used to set a home device in the second area; matching a plurality of third areas in a cloud server according to the first structural data, wherein the similarity between the second structural data of the plurality of third areas and the first structural data is larger than a second threshold; acquiring a first customized household scheme of the third areas and a network quality thermodynamic diagram corresponding to the first customized household scheme, wherein the first customized household scheme is used for indicating a plurality of categories of household equipment contained in the third areas and position information of the household equipment of each category; and determining a target third area with highest network quality score according to the network quality thermodynamic diagrams, and recommending a target first customized household scheme corresponding to the target third area to the second object, wherein the network quality score is used for indicating the comprehensive score of the network quality of a plurality of positions in the third areas.

Based on the analysis method of network quality, the method can also be used for recommending an intelligent home installation scheme for a user, and when a second object requests furniture customization, a plurality of third areas similar to the home type structure of the second object are matched from a cloud server according to the home type graph (namely the first structure data) in the second object home, namely a plurality of home; and then, acquiring customized home schemes and corresponding network quality thermodynamic diagrams of the families, namely acquiring the arrangement modes of home equipment in the families and the network quality conditions of corresponding different positions, determining the family with the highest comprehensive network quality according to the network quality thermodynamic diagrams, and recommending a target first customized home scheme corresponding to the family to a second object.

Optionally, the determining module 56 is further configured to obtain, when a second customized home request of a third object is received, a network quality thermodynamic diagram of a fourth area corresponding to a second customized home scheme, where the second customized home request carries the second customized home scheme, and the second customized home request is used to instruct that home equipment is set in a fifth area corresponding to the third object according to the second customized home scheme; determining a second subarea of which the network quality is lower than a third threshold value in the fourth area according to the network quality thermodynamic diagram of the fourth area, and determining first household equipment arranged in the second subarea according to the second customized household scheme; performing parameter adjustment on the first household equipment according to the network quality parameters of the second subarea to obtain second household equipment; and setting the second household equipment in the fifth area according to the second customized household scheme.

An embodiment of the present application also provides a storage medium including a stored program, wherein the program executes the method of any one of the above.

Alternatively, in the present embodiment, the above-described storage medium may be configured to store program code for performing the steps of:

S1, acquiring air packets of a plurality of home devices in a first area, wherein the plurality of home devices are connected with a target WIFI device by WIFI, and the air packets are data packets transmitted between the home devices and the target WIFI device;

S2, analyzing high-dimensional characteristics from the aerial packet, and determining first network quality information of a first position of the corresponding household equipment according to the high-dimensional characteristics, wherein the high-dimensional characteristics are used for indicating network quality of the WIFI connection;

and S3, determining network quality of different positions in the first area according to the first positions and the first network quality information, wherein the first positions and the first network quality information are in one-to-one correspondence.

An embodiment of the application also provides an electronic device comprising a memory having stored therein a computer program and a processor arranged to run the computer program to perform the steps of any of the method embodiments described above.

Optionally, the electronic apparatus may further include a transmission device and an input/output device, where the transmission device is connected to the processor, and the input/output device is connected to the processor.

Alternatively, in the present embodiment, the above-described processor may be configured to execute the following steps by a computer program:

Alternatively, in the present embodiment, the storage medium may include, but is not limited to: a U-disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory RAM), a removable hard disk, a magnetic disk, or an optical disk, etc., which can store program codes.

Alternatively, specific examples in this embodiment may refer to examples described in the foregoing embodiments and optional implementations, and this embodiment is not described herein.

It will be appreciated by those skilled in the art that the modules or steps of the application described above may be implemented in a general purpose computing device, they may be concentrated on a single computing device, or distributed across a network of computing devices, they may alternatively be implemented in program code executable by computing devices, so that they may be stored in a memory device for execution by computing devices, and in some cases, the steps shown or described may be performed in a different order than that shown or described, or they may be separately fabricated into individual integrated circuit modules, or multiple modules or steps within them may be fabricated into a single integrated circuit module for implementation. Thus, the present application is not limited to any specific combination of hardware and software.

The above description is only of the preferred embodiments of the present application and is not intended to limit the present application, but various modifications and variations can be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the principle of the present application should be included in the protection scope of the present application.

Claims

1. A method for detecting network quality, comprising:

Acquiring an aerial packet of a plurality of home devices in a first area, wherein the plurality of home devices are connected with a target WIFI device by WIFI, and the aerial packet is a data packet transmitted between the home devices and the target WIFI device;

Analyzing a high-dimensional feature from the aerial packet, and determining first network quality information of a first position of the corresponding home equipment according to the high-dimensional feature, wherein the high-dimensional feature is used for indicating network quality of the WIFI connection;

And determining network quality of different positions in the first area according to the first positions and the first network quality information, wherein the first positions and the first network quality information are in one-to-one correspondence.

2. The method of claim 1, wherein parsing high-dimensional features from the over-the-air packets comprises:

And carrying out data analysis on the air packet to obtain equipment related information of the target WIFI equipment, wherein the equipment related information comprises: communication protocol, transmission rate of data packet, network bandwidth data; performing data preprocessing on the equipment-related information to improve the data quality of the equipment-related information, wherein the data preprocessing comprises the following steps: data cleaning and data conversion;

And extracting the high-dimensional characteristics from the processed equipment related information.

3. The method according to claim 1, wherein determining the network quality at different locations in the first area based on the plurality of first locations and the plurality of first network quality information, comprises:

Inputting the first positions and the first network quality information into a preset prediction model for processing so as to predict second network quality information corresponding to second positions except the first positions in the first area;

Analyzing the plurality of first network quality information and the plurality of second network quality information through a data mining technology to obtain network quality parameters of different positions in the first area, wherein the network quality parameters are used for indicating network quality.

4. The method for detecting network quality according to claim 3, wherein after analyzing the plurality of first network quality information and the plurality of second network quality information by a data mining technique to obtain network quality parameters of different locations in the first area, the method further comprises:

generating a network quality thermodynamic diagram of the first area according to the network signal intensities of different positions in the first area, wherein the network quality thermodynamic diagram comprises a plurality of areas with different colors, and the network signal intensities corresponding to the areas with different colors are different;

the network quality thermodynamic diagram is transmitted to a first object.

5. A method of detecting network quality according to claim 3, wherein after obtaining network quality parameters for different locations in the first region, the method further comprises:

Determining a plurality of first subareas of which the network quality is lower than a first threshold value in the first area according to the network quality parameters of the different positions;

Acquiring environment information of the plurality of first sub-areas through the plurality of home devices;

And carrying out network quality analysis on the plurality of first subareas according to the environment information and the network quality parameters corresponding to the plurality of first subareas to obtain a network quality improvement scheme, wherein the network quality improvement scheme is used for improving the network quality of the plurality of first subareas.

6. The method for detecting network quality according to claim 4, further comprising: under the condition that a first customized home request of a second object is received, acquiring first structural data of a second area corresponding to the second object, wherein the first customized home request is used for setting home equipment in the second area;

Matching a plurality of third areas in a cloud server according to the first structural data, wherein the similarity between the second structural data of the plurality of third areas and the first structural data is larger than a second threshold;

Acquiring a first customized household scheme of the third areas and a network quality thermodynamic diagram corresponding to the first customized household scheme, wherein the first customized household scheme is used for indicating a plurality of categories of household equipment contained in the third areas and position information of the household equipment of each category;

and determining a target third area with highest network quality score according to the network quality thermodynamic diagrams, and recommending a target first customized household scheme corresponding to the target third area to the second object, wherein the network quality score is used for indicating the comprehensive score of the network quality of a plurality of positions in the third areas.

7. The method for detecting network quality according to claim 4, further comprising: acquiring a network quality thermodynamic diagram of a fourth area corresponding to a second customized home plan under the condition that a second customized home request of a third object is received, wherein the second customized home request carries the second customized home plan, and the second customized home request is used for indicating that home equipment is arranged in a fifth area corresponding to the third object according to the second customized home plan;

Determining a second subarea of which the network quality is lower than a third threshold value in the fourth area according to the network quality thermodynamic diagram of the fourth area, and determining first household equipment arranged in the second subarea according to the second customized household scheme;

performing parameter adjustment on the first household equipment according to the network quality parameters of the second subarea to obtain second household equipment;

And setting the second household equipment in the fifth area according to the second customized household scheme.

8. A network quality detection apparatus, comprising:

The acquisition module is used for acquiring air packets of a plurality of home devices in a first area, wherein the plurality of home devices are connected with a target WIFI device by WIFI, and the air packets are data packets transmitted between the home devices and the target WIFI device;

The analysis module is used for analyzing high-dimensional characteristics from the aerial packet, and determining first network quality information of a first position where the corresponding household equipment is located according to the high-dimensional characteristics, wherein the high-dimensional characteristics are used for indicating network quality of the WIFI connection;

and the determining module is used for determining the network quality of different positions in the first area according to the first positions and the first network quality information, wherein the first positions and the first network quality information are in one-to-one correspondence.

9. A computer-readable storage medium, characterized in that the computer-readable storage medium comprises a stored program, wherein the program, when run, performs the method of any one of claims 1 to 7.

10. An electronic device comprising a memory and a processor, characterized in that the memory has stored therein a computer program, the processor being arranged to execute the method according to any of the claims 1 to 7 by means of the computer program.