A multi-index test system based on wireless communication performance

Abstract

The present application relates to the technical field of multi-index testing, and relates to a multi-index testing system based on wireless communication performance. The system comprises a region setting module, a communication classification module, an index acquisition module, an index supplement module and an interference testing module. The region setting module is used to acquire the moving region of a mobile terminal, acquire the list of wireless devices for close-range communication with the mobile terminal in the moving region, and locate the installation positions of the wireless devices in the moving region. Through the layer-by-layer cooperation of the region setting module, the communication classification module, the index acquisition module, the index supplement module and the interference testing module, a complete closed loop is formed from the testing basis, data processing, index extraction, index optimization to final verification. The problems of the prior art, such as fuzzy testing region and inaccurate positioning of wireless devices, are solved. Through continuous coordinate acquisition of the mobile terminal positioning module, invalid data elimination and axial extreme value calculation, the accurate demarcation of the moving region is realized.

Description

Technical Field

[0001] This invention relates to the field of multi-index testing technology, and more specifically, to a multi-index testing system based on wireless communication performance. Background Technology

[0002] The purpose of wireless communication performance testing technology is to detect various communication interferences during short-range communication between mobile terminals and surrounding wireless devices, and to verify the stability of the communication link. Its aim is to ensure the quality of short-range communication between mobile terminals and wireless devices.

[0003] Existing short-range wireless communication performance testing technologies are mostly applied to static single-point testing and small-scale single-path testing scenarios. Static single-point or single-path testing methods are out of touch with the actual mobile terminal usage scenarios and cannot capture dynamic communication interference at different locations and along different paths during movement. This easily leads to the omission of a large number of interference problems that exist in actual use, resulting in incomplete interference indicators. At the same time, existing technologies mostly perform independent interference detection for a single wireless device and do not consider the cross-device interference impact in scenarios where multiple devices coexist. The interference indicator system has obvious deficiencies and cannot reflect the complex interference situation in the actual communication environment. In order to reduce this situation, a multi-indicator testing system for wireless communication performance is proposed. Summary of the Invention

[0004] The purpose of this invention is to provide a multi-index testing system for wireless communication performance to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, a multi-index testing system for wireless communication performance is provided, including a region setting module, a communication classification module, an index acquisition module, an index supplementation module, and an interference testing module. The area setting module is used to obtain the mobile area of ​​the mobile terminal, obtain a list of wireless devices that communicate with the mobile terminal at close range in the mobile area, and locate the installation location of each wireless device in the mobile area. The communication classification module is used to obtain the historical communication status of each wireless device, and at the same time obtain the historical movement record of the mobile terminal in the mobile area. Based on the movement position of the mobile terminal in the mobile area in the historical movement record, the historical communication status is classified to obtain the historical communication status corresponding to each movement position. The indicator acquisition module is used to perform difference state analysis on the historical communication states corresponding to different mobile locations in the same wireless device, to obtain the difference communication states between the mobile terminal and the wireless device at different mobile locations, and then combine the difference communication states with the communication paths formed by the corresponding mobile locations to perform communication interference index analysis, and obtain the communication interference index that causes the communication state to change in each communication path. The indicator supplementation module is used to obtain the device parameters of each wireless device, combine the device parameters with the communication interference indicators to perform indicator simulation and supplementation, and supplement the original communication interference indicators of each wireless device with the communication interference indicators obtained from the analysis of other wireless devices. The interference testing module is used to perform a full-area short-range communication interference test by combining the communication interference indicators of each wireless device after the supplementation is completed with the movement process of the mobile terminal in the mobile area.

[0006] As a further improvement to this technical solution, in the area setting module, the real-time location information of the mobile terminal is collected by the positioning module of the mobile terminal, and the activity range is delineated by combining the activity trajectory of the mobile terminal to determine the mobile area of ​​the mobile terminal. The mobile terminal uses its proximity scanning function to scan all wireless devices within the mobile area that can establish a proximity communication connection with the mobile terminal, and then compiles a list of wireless devices. By collecting the transmission direction, signal strength, and transmission distance of communication signals between the mobile terminal and each wireless device, and combining this with the spatial coordinate system of the mobile area, the installation location of each wireless device within the mobile area is calculated.

[0007] As a further improvement to this technical solution, the communication classification module collects the communication parameters of each wireless device during past short-range communication with the mobile terminal to form the historical communication status of each wireless device. The system collects mobile information from the mobile terminal's past activities within the mobile area, forming a historical movement record of the mobile terminal.

[0008] As a further improvement to this technical solution, in the communication classification module, the generation timestamp of each historical communication status and the collection timestamp of each historical movement record are extracted, and the historical communication status with the same timestamp is associated and bound with the historical movement record to determine the historical movement record of the mobile terminal corresponding to each historical communication status. Extract the mobile terminal's location within the mobile area from the bound historical mobility records, group all historical communication states associated with the same mobile location into one category, and thus obtain the set of historical communication states corresponding to each mobile location.

[0009] As a further improvement to this technical solution, in the indicator acquisition module, for the same wireless device, the historical communication status of the device under different mobile positions of the mobile terminal is compared, and the communication status with different communication parameters in the historical communication status is extracted as the difference in communication status between the mobile terminal and the wireless device under different mobile positions.

[0010] As a further improvement to this technical solution, the indicator acquisition module sequentially connects the continuous moving positions that the mobile terminal passes through in the moving area in chronological order to form the communication path of the mobile terminal. Combining the different communication states corresponding to each moving position on the communication path, the module analyzes the changing patterns of the different communication states, determines the interference type parameters, interference intensity parameters, and interference source parameters that cause changes in the communication state, and summarizes the interference type parameters, interference intensity parameters, and interference source parameters to form a communication interference index.

[0011] As a further improvement to this technical solution, the indicator supplementation module collects the hardware configuration parameters of each wireless device as device parameters. Based on the communication interference index obtained from the analysis of other wireless devices, and combined with the device parameters of the target wireless device, the interference impact of the communication interference index on the target wireless device is simulated and calculated to determine whether the communication interference index needs to be added to the original interference index of the target wireless device. Compare the device parameters of different wireless devices and set corresponding supplementary thresholds based on the parameter differences; The greater the parameter difference, the larger the supplementary threshold. The smaller the parameter difference, the smaller the supplementary threshold.

[0012] As a further improvement to this technical solution, the indicator supplementation module performs a weighted calculation of the communication interference index, the device parameters of the corresponding wireless device, and the positional influence coefficient of the communication path corresponding to the communication interference index, to obtain the supplementary value of the communication interference index for the corresponding wireless device on the communication path. The calculated supplementary value is compared with the set supplementary threshold. When the supplemented value exceeds the supplemented threshold, it is determined that the communication interference index is added to the interference index set of the target wireless device. Conversely, if the supplemented value does not exceed the supplementation threshold, no supplementation will be performed.

[0013] As a further improvement to this technical solution, the interference testing module uses the complete communication interference indicators supplemented by each wireless device as the test basis. It controls the mobile terminal to traverse all mobile locations and communication paths within its mobile area to comprehensively test the close-range communication status between the mobile terminal and each wireless device at different locations and paths, thereby verifying the accuracy of the supplemented communication interference indicators and the communication stability between the mobile terminal and each wireless device throughout the entire area.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. This multi-index testing system for wireless communication performance, through the layered collaboration of a region setting module, a communication classification module, an index acquisition module, an index supplementation module, and an interference testing module, forms a complete closed loop from testing foundation, data processing, index extraction, index optimization to final verification. It first solves the problems of ambiguous testing areas and inaccurate wireless device positioning in existing technologies. Through continuous coordinate acquisition, invalid data removal, and axial extreme value calculation by the mobile terminal positioning module, it achieves precise delineation of the mobile area. Simultaneously, relying on the RSSI path loss model, it completes the precise positioning of the wireless device within the mobile area, laying a unified and accurate spatial benchmark for all subsequent testing stages. This ensures the integrity of the test object and testing range, fundamentally improving the standardization and comprehensiveness of the entire testing process.

[0015] 2. This multi-index testing system for wireless communication performance adds a unified precision timestamp to communication parameters and mobility information, completes data binding according to the rule of completely consistent timestamps, and simultaneously achieves accurate classification of communication status according to mobility location, constructing a clear mobility location-communication status association system. This solves the problem of communication data being disconnected from mobility location in existing technologies, providing accurate and effective data source support for subsequent differential communication status extraction and interference index analysis. It avoids interference analysis bias caused by chaotic data association, and significantly improves the pertinence and effectiveness of subsequent interference index extraction.

[0016] 3. This multi-index testing system for wireless communication performance analyzes the differences in communication parameters of the same wireless device at different mobile locations, determines the differences in communication status by combining the industry's optimal threshold, and combines the differences in communication status with the time-series communication path to analyze the interference change pattern and quantify the interference intensity through a weighted formula. It constructs a complete interference index system from three dimensions: interference type, interference intensity, and interference source, which solves the problems of one-sided interference index extraction and lack of quantitative standards in existing technologies. Attached Figure Description

[0017] Figure 1 This is a schematic diagram of the structure of a multi-index testing system for wireless communication performance according to the present invention; Figure 2 A flowchart illustrating the region setting module of this invention; Figure 3 This is a flowchart illustrating the communication classification module of the present invention; Figure 4 This is a flowchart illustrating the indicator acquisition module of the present invention; Figure 5 This is a flowchart illustrating the indicator supplementation module of the present invention. Figure 6 This is a flowchart illustrating the interference testing module of the present invention. Detailed Implementation

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] Please see Figures 1-6 As shown, the purpose of this embodiment is to provide a multi-index testing system for wireless communication performance, including a region setting module, a communication classification module, an index acquisition module, an index supplementation module, and an interference testing module. The area setting module is used to obtain the mobile area of ​​the mobile terminal, obtain a list of wireless devices that communicate with the mobile terminal at close range in the mobile area, and locate the installation location of each wireless device in the mobile area. In the area setting module, the real-time location information of the mobile terminal is collected through the positioning module of the mobile terminal, and the activity range is delineated by combining the activity trajectory of the mobile terminal to determine the mobile area of ​​the mobile terminal. The mobile terminal positioning module collects continuous location coordinates in real time, while eliminating invalid coordinate data such as positioning anomalies and signal failures. It calculates the axial extreme values ​​of the valid coordinates, determines the spatial range boundary, and then uses the closed space formed by the extreme values ​​as the mobile terminal's movement area. The mobile terminal uses its proximity scanning function to scan all wireless devices within the mobile area that can establish a proximity communication connection with the mobile terminal, and then compiles a list of wireless devices. Enable the near-field communication scanning function of the mobile terminal, limit the scanning range to the determined mobile area, filter the wireless devices that can establish a communication connection with the mobile terminal, remove duplicates by the unique identifier of the device, and summarize to form a list of wireless devices. By collecting the transmission direction, signal strength, and transmission distance of communication signals between the mobile terminal and each wireless device, and combining this with the spatial coordinate system of the mobile area, the installation location of each wireless device within the mobile area is calculated.

[0020] The RSSI signal strength and transmission direction angle of the mobile terminal and the wireless device are collected, and then the transmission distance between them is calculated by substituting them into the RSSI path loss model. Then, using the real-time coordinates of the mobile terminal as a reference point, combined with the transmission direction and distance, the spatial coordinates of the wireless device in the mobile area, i.e., the installation location, are calculated.

[0021] The communication classification module is used to obtain the historical communication status of each wireless device, and at the same time obtain the historical movement record of the mobile terminal in the mobile area. Based on the movement position of the mobile terminal in the mobile area in the historical movement record, the historical communication status is classified to obtain the historical communication status corresponding to each movement position. In the communication classification module, communication parameters of each wireless device during past short-range communication with the mobile terminal are collected to form the historical communication status of each wireless device. RSSI signal strength, transmission rate, packet loss rate, communication delay, and connection stability are selected as communication parameters. The above parameters are collected from the past short-range communication process between each device and the mobile terminal. Each data is given a generation timestamp and stored in a structured manner as a historical communication status dataset. The system collects mobile information from the mobile terminal's past activities within the mobile area, forming a historical movement record of the mobile terminal.

[0022] Collect mobile information on the past activities of the mobile terminal within the target mobile area, including location coordinates, movement speed, and movement direction. Then, add a collection timestamp to each piece of mobile information and store it in a structured manner as a historical movement record dataset. In the communication classification module, the generation timestamp of each historical communication status and the collection timestamp of each historical movement record are extracted. Historical communication statuses with consistent timestamps are associated and bound with historical movement records to determine the historical movement records of the mobile terminals corresponding to each historical communication status. Traverse the historical communication status dataset, extract the generation timestamp of each data, and simultaneously traverse the historical movement record dataset, extract the collection timestamp of each data, match according to the rule of complete timestamp consistency, bind the communication status with the movement record with the same timestamp, generate a bound dataset, and remove invalid data without matching timestamps to ensure that each communication status corresponds to a unique movement record. Extract the mobile terminal's location within the mobile area from the bound historical mobility records, group all historical communication states associated with the same mobile location into one category, and thus obtain the set of historical communication states corresponding to each mobile location.

[0023] Extract all movement location coordinates from the bound dataset, and group all communication states corresponding to the same coordinates into one category based on the location coordinates.

[0024] The indicator acquisition module is used to perform difference analysis on the historical communication status corresponding to different mobile locations in the same wireless device, to obtain the difference communication status between the mobile terminal and the wireless device at different mobile locations, and then combine the difference communication status with the communication path formed by the corresponding mobile locations to perform communication interference indicator analysis, and obtain the communication interference indicators that cause the communication status to change in each communication path. In the indicator acquisition module, for the same wireless device, the historical communication status of the device is compared with that of the mobile terminal at different mobile locations. The communication statuses with different communication parameters in the historical communication status are extracted as the differences in communication status between the mobile terminal and the wireless device at different mobile locations.

[0025] Data is filtered by the unique ID of the wireless device. All historical communication states of the device under different mobile terminal locations are extracted. The communication parameters (RSSI signal strength, transmission rate, packet loss rate, communication latency) are focused on. Then, the communication parameters of the location where the mobile terminal communicates with the device most stably are selected as the reference parameter set. Calculate the absolute differences between the communication parameters of the device at other mobile locations and the baseline parameters, and set difference thresholds (RSSI difference ≥ 3dBm, transmission rate difference ≥ 0.5Mbps, packet loss rate difference ≥ 1%, latency difference ≥ 50ms). If any parameter difference exceeds the threshold, the communication status at that location is determined to be a difference communication status. Then, summarize all the difference communication statuses of the device, associate them with the corresponding mobile locations, and form structured data, as shown in the following formula: in, This refers to communication parameter values ​​(such as RSSI, transmission rate, etc.) at a certain mobile location. The communication parameter values ​​are for the reference position. This represents the absolute difference value of the parameter.

[0026] In the indicator acquisition module, the continuous moving positions that the mobile terminal passes through in the moving area in chronological order are connected sequentially to form the communication path of the mobile terminal. Combined with the different communication states corresponding to each moving position on the communication path, the changing patterns of the different communication states are analyzed, and the interference type parameters, interference intensity parameters, and interference source parameters that cause the changes in communication states are determined. The interference type parameters, interference intensity parameters, and interference source parameters are summarized to form the communication interference index.

[0027] Extract the continuous moving positions that the mobile terminal passes through in the moving area in chronological order, connect them sequentially to form a communication path, mark the different communication states corresponding to each position on the path, and then, according to the time sequence of the communication path, count the triggering position, parameter change trend (such as RSSI continuously decreasing and packet loss rate continuously increasing), and change magnitude of the different communication states. Interference type parameters are determined based on the characteristics of parameter changes. For example, a sudden drop in RSSI combined with a sudden increase in latency indicates signal obstruction interference; multiple devices operating on the same frequency band causing a sudden drop in transmission rate indicates co-channel interference. Interference intensity parameter; calculate the comprehensive weighted value of the difference parameters to quantify the degree of interference; Interference source parameters are used to locate the first occurrence of the difference in state on the communication path, and the source of interference is determined by combining the distribution of wireless devices in the vicinity of that location. The interference type, interference intensity, and interference source parameters are structurally summarized to form the communication interference index of the wireless device, as shown in the following formula: ; in, Interference intensity (values ​​from 0 to 1, the larger the value, the stronger the interference). , , , These are the weighting coefficients. The difference in RSSI signal strength. The difference in transmission rate, This represents the difference in packet loss rate. The difference in communication delay. The maximum reasonable value for RSSI signal strength. This represents the maximum reasonable value for the transmission rate. This represents the maximum reasonable value for packet loss rate. This represents the maximum reasonable value for communication delay. The indicator supplementation module is used to obtain the device parameters of each wireless device, combine the device parameters with the communication interference indicators to perform indicator simulation and supplementation, and supplement the original communication interference indicators of each wireless device with the communication interference indicators obtained from the analysis of other wireless devices. In the indicator supplementation module, the hardware configuration parameters of each wireless device are collected as device parameters; The core hardware parameters are determined, and communication frequency band, transmit power, receive sensitivity, antenna gain, and communication protocol version are selected as device parameters. The above device parameters are collected for each device according to the unique ID of the wireless device and stored in a structured manner as a device parameter set. Based on the communication interference index obtained from the analysis of other wireless devices, and combined with the device parameters of the target wireless device, the interference impact of the communication interference index on the target wireless device is simulated and calculated to determine whether the communication interference index needs to be added to the original interference index of the target wireless device. Extract communication interference indicators that have been analyzed from other wireless devices, and use the hardware parameters of the target wireless device as the adaptation basis to simulate the potential impact of the interference indicator on the target device. This includes focusing on matching the communication frequency band (the interference impact coefficient is higher in the same frequency band) and receiving sensitivity (the lower the sensitivity, the greater the impact of interference). Then, if the difference between the communication frequency band of the interference indicator and the frequency band of the target device exceeds 200MHz, it is directly determined that there is no significant impact and no further calculation is required. Conversely, proceed to the threshold setting stage; Compare the device parameters of different wireless devices and set corresponding supplementary thresholds based on the parameter differences; The greater the parameter difference, the larger the supplementary threshold. The smaller the parameter difference, the smaller the supplementary threshold.

[0028] Calculate the parameter difference between the target device and the interference source device (quantify the overall difference in hardware parameters). The larger the parameter difference, the larger the supplementary threshold. Map the difference to the supplementary threshold, and output the supplementary threshold for the target device for that interference indicator. The formula is as follows: ; in, The parameter difference between the target device and the interference source device. For the number of equipment parameters, For the i-th parameter value of the target device, Let i be the value of the i-th parameter of the interference source device. The industry maximum / minimum value of the i-th parameter; ; in, To supplement the threshold, This is the difference weighting coefficient. Basic threshold; In the indicator supplementation module, the communication interference indicator, the device parameters of the corresponding wireless device, and the positional influence coefficient of the communication path corresponding to the communication interference indicator are weighted and calculated to obtain the supplementary value of the communication interference indicator for the corresponding wireless device on the communication path. Determine the weighting factors, including interference intensity, equipment parameter adaptation coefficient, and communication path location influence coefficient. Calculate the value of each factor separately, substitute them into the weighting formula to calculate the supplementary values, and normalize the supplementary values ​​to the 0-1 range for easy comparison with the threshold. The formula is as follows: ; in, To supplement the values, , , These are weighting coefficients. For equipment parameter adaptation coefficients, This is the path location influence coefficient; The calculated supplementary value is compared with the set supplementary threshold. When the supplemented value exceeds the supplemented threshold, the interference index has a significant impact on the target device, and it is determined that the communication interference index should be supplemented to the interference index set of the target wireless device. Conversely, if the supplemented value does not exceed the supplementation threshold, no supplementation will be performed.

[0029] The interference testing module is used to perform short-range communication interference testing across the entire area by combining the communication interference indicators of each wireless device after the supplementation is completed with the movement process of the mobile terminal within the mobile area.

[0030] In the interference testing module, the complete communication interference indicators supplemented by each wireless device are used as the test basis. The mobile terminal is controlled to traverse all movement positions and communication paths within its movement area to comprehensively test the close-range communication status between the mobile terminal and each wireless device at different positions and paths. This verifies the accuracy of the supplemented communication interference indicators and the communication stability between the mobile terminal and each wireless device throughout the entire area. The steps are as follows: Integrate all wireless devices to obtain complete communication interference indicators, classify them by device unique ID, and generate a structured test basis set; The mobile area is divided into uniform grids of 0.5 meters per grid, with the center point of each grid as the mobile position to be tested to ensure no position is missed. Then, based on historical mobile records, all time-series communication paths of the mobile terminal within the grid are extracted to cover all possible mobile trajectories. Then, a mobile terminal traversal plan is formulated in the order of static testing of each grid position first, followed by dynamic testing along the path, balancing testing efficiency and coverage. The mobile terminal is controlled to arrive at each grid location and move along each communication path according to the traversal plan. At each location / path node, the communication parameters between the mobile terminal and the corresponding wireless device are continuously collected for 10 seconds (optimal collection time). To verify the accuracy of the indicators, extract the locations / path segments where communication parameters are abnormal in the test data, compare them with the affected path segments / interference source locations in the interference indicators, calculate the indicator matching degree, and determine whether the indicators are accurate according to the threshold (matching degree ≥80% is qualified). Communication stability verification involves counting the number of communication anomalies (interruptions, lags) and the total duration of anomalies across the entire area, calculating a stability score, and determining whether the communication is stable based on a threshold (a score ≥ 90 is considered passing). The interference index matching degree and the overall communication stability score of each wireless device are summarized.

[0031] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely preferred examples and are not intended to limit the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. A multi-index testing system for wireless communication performance, characterized in that: It includes a region setting module, a communication classification module, an indicator acquisition module, an indicator supplementation module, and an interference testing module; The area setting module is used to obtain the mobile area of ​​the mobile terminal, obtain a list of wireless devices that communicate with the mobile terminal at close range in the mobile area, and locate the installation location of each wireless device in the mobile area. The communication classification module is used to obtain the historical communication status of each wireless device, and at the same time obtain the historical movement record of the mobile terminal in the mobile area. Based on the movement position of the mobile terminal in the mobile area in the historical movement record, the historical communication status is classified to obtain the historical communication status corresponding to each movement position. The indicator acquisition module is used to perform difference state analysis on the historical communication states corresponding to different mobile locations in the same wireless device, to obtain the difference communication states between the mobile terminal and the wireless device at different mobile locations, and then combine the difference communication states with the communication paths formed by the corresponding mobile locations to perform communication interference index analysis, and obtain the communication interference index that causes the communication state to change in each communication path. The indicator supplementation module is used to obtain the device parameters of each wireless device, combine the device parameters with the communication interference indicators to perform indicator simulation and supplementation, and supplement the original communication interference indicators of each wireless device with the communication interference indicators obtained from the analysis of other wireless devices. The interference testing module is used to perform a full-area short-range communication interference test by combining the communication interference indicators of each wireless device after the supplementation is completed with the movement process of the mobile terminal in the mobile area.

2. The multi-index testing system for wireless communication performance according to claim 1, characterized in that: In the area setting module, the real-time location information of the mobile terminal is collected by the positioning module of the mobile terminal, and the activity range is delineated by combining the activity trajectory of the mobile terminal to determine the mobile area of ​​the mobile terminal. The mobile terminal uses its proximity scanning function to scan all wireless devices within the mobile area that can establish a proximity communication connection with the mobile terminal, and then compiles a list of wireless devices. By collecting the transmission direction, signal strength, and transmission distance of communication signals between the mobile terminal and each wireless device, and combining this with the spatial coordinate system of the mobile area, the installation location of each wireless device within the mobile area is calculated.

3. The multi-index testing system for wireless communication performance according to claim 1, characterized in that: In the communication classification module, communication parameters of each wireless device during past short-range communication with the mobile terminal are collected to form the historical communication status of each wireless device. The system collects mobile information from the mobile terminal's past activities within the mobile area, forming a historical movement record of the mobile terminal.

4. The multi-index testing system for wireless communication performance according to claim 1, characterized in that: In the communication classification module, the generation timestamp of each historical communication status and the collection timestamp of each historical movement record are extracted. Historical communication statuses with consistent timestamps are associated and bound with historical movement records to determine the historical movement records of the mobile terminal corresponding to each historical communication status. Extract the mobile terminal's location within the mobile area from the bound historical mobility records, group all historical communication states associated with the same mobile location into one category, and thus obtain the set of historical communication states corresponding to each mobile location.

5. The multi-index testing system for wireless communication performance according to claim 1, characterized in that: In the indicator acquisition module, for the same wireless device, the historical communication status of the device is compared with that of the mobile terminal at different mobile locations, and the communication status with different communication parameters in the historical communication status is extracted as the difference in communication status between the mobile terminal and the wireless device at different mobile locations.

6. The multi-index testing system for wireless communication performance according to claim 1, characterized in that: In the indicator acquisition module, the continuous moving positions that the mobile terminal passes through in the moving area in chronological order are connected sequentially to form the communication path of the mobile terminal. Combined with the different communication states corresponding to each moving position on the communication path, the change pattern of the different communication states is analyzed, and the interference type parameter, interference intensity parameter, and interference source parameter that cause the change of communication state are determined. The interference type parameter, interference intensity parameter, and interference source parameter are summarized to form a communication interference indicator.

7. The multi-index testing system for wireless communication performance according to claim 1, characterized in that: In the indicator supplementation module, the hardware configuration parameters of each wireless device are collected as device parameters. Based on the communication interference index obtained from the analysis of other wireless devices, and combined with the device parameters of the target wireless device, the interference impact of the communication interference index on the target wireless device is simulated and calculated to determine whether the communication interference index needs to be added to the original interference index of the target wireless device. Compare the device parameters of different wireless devices and set corresponding supplementary thresholds based on the parameter differences; The greater the parameter difference, the larger the supplementary threshold. The smaller the parameter difference, the smaller the supplementary threshold.

8. A multi-index testing system for wireless communication performance according to claim 7, characterized in that: In the indicator supplementation module, the communication interference index, the device parameters of the corresponding wireless device, and the positional influence coefficient of the communication path corresponding to the communication interference index are weighted and calculated to obtain the supplementary value of the communication interference index for the corresponding wireless device on the communication path. The calculated supplementary value is compared with the set supplementary threshold. When the supplemented value exceeds the supplemented threshold, it is determined that the communication interference index is added to the interference index set of the target wireless device. Conversely, if the supplemented value does not exceed the supplementation threshold, no supplementation will be performed.

9. A multi-index testing system for wireless communication performance according to claim 1, characterized in that: In the interference testing module, the complete communication interference indicators supplemented by each wireless device are used as the test basis. The mobile terminal is controlled to traverse all mobile locations and communication paths within its mobile area to comprehensively test the close-range communication status between the mobile terminal and each wireless device at different locations and paths. This verifies the accuracy of the supplemented communication interference indicators and the communication stability between the mobile terminal and each wireless device throughout the entire area.

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