Global wireless signal sensing method and device, computer equipment and storage medium

Abstract

The invention provides a global wireless signal sensing method and device, computer equipment and a storage medium. According to the scheme, wireless signal strength and position information fed back by a target train are obtained firstly, and then a propagation area where the train is located is determined according to the position information and a distance threshold value calculated through tunnel size parameters; selecting a corresponding signal propagation model according to the propagation area, and performing segmentation based on the model and a preset propagation loss interval to obtain wireless model fragments; then determining a target fragment where the train is located according to the train position information, and further calculating ideal signal intensity corresponding to the target fragment; and finally, comparing the difference between the actual wireless signal intensity and the ideal signal intensity, and when the difference exceeds a preset threshold value, giving an alarm to the target base station. According to the scheme, through multi-step cooperation, in the running process of the train, systematic monitoring of the state of the base station is achieved through the vehicle-mounted equipment, the inspection burden of operation and maintenance personnel is relieved, and the reliability, safety and running efficiency of a track wireless communication system are improved.

Description

Technical Field

[0001] This application relates to the technical field of wireless signal detection, and particularly to a method, device, computer equipment and storage medium for global wireless signal perception. Background Art

[0002] There are many wireless signal systems in the rail transit industry. In recent years, the suburban rapid railroads have been vigorously developed, with a speed of up to 160 km / h. The importance of the stability of wireless signals is also increasing. In order to ensure the safety of wireless signals, a large amount of operation and maintenance resources have been invested. The current industry status is that the degree of intelligence in wireless operation and maintenance is low. Common wireless signal systems include LTE-M and LTE-U for carrying the CBTC system, B-TrunC for carrying trunked voice, and WiFi for carrying the PIS system. These wireless signals, together with the indoor distributed wireless signal coverage system in stations, the leaky cable system in the track section, and the antenna system in the track area (for transmitting WiFi signals / LTE-M signals), constitute the global wireless signal scenario of rail transit. When performing operation and maintenance on wireless signal base stations, multiple operation and maintenance personnel often need to carry testing equipment in groups and enter the station in the early morning, and walk deep into the track area for daily inspections, quarterly inspections, semi-annual inspections and annual inspections, which has problems such as repetitive work, high cost of inspection personnel and low efficiency. Summary of the Invention

[0003] The purpose of this application is to at least solve one of the above technical defects, and particularly provides a method, device, computer equipment and storage medium for global wireless signal perception that can automatically perform wireless signal inspection and warning on tunnels.

[0004] In the first aspect, this application provides a method for global wireless signal perception, including:

[0005] Obtain the wireless signal strength and location information fed back by the target train;

[0006] Determine the propagation area where the target train is located according to the location information and the distance threshold; the distance threshold is calculated according to the size parameters of the target tunnel;

[0007] Select the corresponding signal propagation model according to the propagation area to obtain the target signal propagation model; the signal propagation model reflects the relationship between the propagation loss and the signal propagation distance corresponding to the target base station;

[0008] Divide the target signal propagation model according to the preset propagation loss interval to obtain multiple continuous wireless model slices; the wireless model slice is an area where the propagation loss difference between the nearest end and the farthest end from the target base station is the preset propagation loss;

[0009] Determine the target slice where the target train is located from the wireless model slices according to the location information, and determine the ideal signal strength corresponding to the target slice;

[0010] Alarm the target base station according to the difference between the wireless signal strength and the ideal signal strength.

[0011] In one embodiment, the determination process of the distance threshold includes:

[0012] Determine the first distance according to the height of the target tunnel and the signal wavelength corresponding to the target base station;

[0013] Determine the second distance according to the width of the target tunnel and the signal wavelength corresponding to the target base station;

[0014] Determine the distance threshold according to the maximum value of the first distance and the second distance.

[0015] In one embodiment, determining the propagation area where the target train is located according to the location information and the distance threshold includes:

[0016] If it is determined according to the location information that the distance between the target train and the target base station is greater than the distance threshold, then determine the propagation area as the first propagation area; the signal propagation model corresponding to the first propagation area includes: , where, is the propagation loss, is the signal frequency of the target base station, is the signal propagation distance of the target base station, and the unit is kilometers;

[0017] Otherwise, determine the propagation area as the second propagation area; the signal propagation model corresponding to the second propagation area includes: , and the unit is meters.

[0018] In one embodiment, determining the ideal signal strength corresponding to the target slice includes:

[0019] Determine the first propagation loss and the second propagation loss corresponding to both ends of the target slice according to the target signal propagation model respectively;

[0020] Obtain the first ideal signal strength according to the first propagation loss and the preset signal strength corresponding to the target base station;

[0021] Obtain the second ideal signal strength according to the second propagation loss and the preset signal strength;

[0022] Obtain the ideal signal strength according to the mean value of the first ideal signal strength and the second ideal signal strength.

[0023] In one embodiment, the antenna of the target base station is provided with an excitation tag, and the method for global wireless signal perception further includes:

[0024] If the target base station issues an alarm, control the target base station to send an excitation signal to the excitation tag;

[0025] Determine the alarm reason of the target base station according to the difference between the reflected power fed back by the excitation tag in response to the excitation signal and the set power.

[0026] In one embodiment, determining the alarm reason of the target base station according to the difference between the reflected power fed back by the excitation tag in response to the excitation signal and the set power includes:

[0027] If the difference between the reflected power and the set power is greater than the abnormal threshold, determine that the alarm reason is antenna abnormality;

[0028] Otherwise, obtain the control plane information of the target base station, and determine the alarm reason according to the control plane information.

[0029] In one embodiment, determining the alarm reason according to the control plane information includes:

[0030] If the transmit underpower information is carried in the control plane information, determine that the alarm reason is base station underpower;

[0031] Otherwise, obtain the data plane information of the target base station, and determine the network quality based on the data plane information and the control plane information;

[0032] If the network quality is lower than the quality threshold, determine that the alarm reason is internal network delay.

[0033] In a second aspect, the present application provides a global wireless signal perception device, including:

[0034] A data acquisition module, configured to acquire the wireless signal strength and position information fed back by the target train;

[0035] A propagation area determination module, configured to determine the propagation area where the target train is located according to the position information and the distance threshold; the distance threshold is calculated according to the size parameters of the target tunnel;

[0036] A propagation model determination module, configured to select a corresponding signal propagation model according to the propagation area to obtain a target signal propagation model; the signal propagation model reflects the relationship between the propagation loss and the signal propagation distance corresponding to the target base station;

[0037] An allocation module, configured to divide into a plurality of continuous wireless model slices according to the target signal propagation model and the preset propagation loss interval; the wireless model slice is an area where the propagation loss difference between the nearest end and the farthest end from the target base station is the preset propagation loss;

[0038] An ideal signal strength determination module, configured to determine a target slice where a target train is located from wireless model slices according to location information, and determine an ideal signal strength corresponding to the target slice;

[0039] An alarm module, configured to alarm a target base station according to a difference between a wireless signal strength and an ideal signal strength.

[0040] In a third aspect, the present application provides a computer device, including one or more processors, and a memory. Computer-readable instructions are stored in the memory. When the computer-readable instructions are executed by the one or more processors, the steps of the global wireless signal perception method in any of the above embodiments are executed.

[0041] In a fourth aspect, the present application provides a storage medium, in which computer-readable instructions are stored. When the computer-readable instructions are executed by one or more processors, the one or more processors are caused to execute the steps of the global wireless signal perception method in any of the above embodiments.

[0042] It can be seen from the above technical solutions that the embodiments of the present application have the following advantages:

[0043] In this solution, the wireless signal strength and location information fed back by the target train are first obtained, and then the propagation area where the train is located is determined according to the location information and the distance threshold calculated from the tunnel size parameters; then the corresponding signal propagation model is selected according to the propagation area, and the wireless model slices are obtained by segmentation based on this model and a preset propagation loss interval; then the target slice where the train is located is determined according to the train location information, and thus the ideal signal strength corresponding to the target slice is calculated; finally, the difference between the actual wireless signal strength and the ideal signal strength is compared, and when the difference exceeds the preset threshold, the target base station is alarmed. Through the coordination of multiple steps, during the operation of the train, this solution uses on-vehicle equipment to achieve systematic monitoring of the status of base stations in track wireless communication, reduces the inspection burden of operation and maintenance personnel, and improves the reliability, safety and operation efficiency of the track wireless communication system. Description of the Drawings

[0044] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained according to these drawings.

[0045] Figure 1 It is a schematic flowchart of the global wireless signal perception method in an embodiment of the present application;

[0046] Figure 2Schematic diagram of the process for determining the distance threshold in an embodiment of the present application;

[0047] Figure 3 Schematic diagram of the process for determining the ideal signal strength corresponding to the target shard in an embodiment of the present application;

[0048] Figure 4 Internal structure diagram of a computer device provided in an embodiment of the present application. Detailed implementation manners

[0049] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0050] The present application provides a method for perceiving the global wireless signal. Please refer to Figure 1 , which includes steps S102 to S112.

[0051] S102, obtain the wireless signal strength and location information fed back by the target train.

[0052] It can be understood that the target train is a specific train running on the track. In the track wireless communication system, on-board active sensing devices are installed on the train, which can sense information such as wireless signal strength and signal-to-noise ratio. The target train in this application runs inside the target tunnel, and at least one base station is set in the target tunnel, and the base station is responsible for signal coverage in the target tunnel. The method in this application mainly relies on the running train to sense the working conditions of the base station, so as to replace manual inspection. The wireless signal strength refers to the strength of the wireless signal received by the target train, usually expressed by a power value or relative strength, and the unit is generally dBm. The position information is the specific position of the target train on the track line, which can be obtained through various positioning technologies, such as global positioning system, track circuit positioning, inertial navigation positioning, etc. Its function is to determine the accurate position of the train in the track network and provide a basis for subsequent signal propagation analysis and management. The required information can be obtained by installing a wireless signal receiving device and a positioning device on the target train. The wireless signal receiving device can measure the wireless signal strength received from the base station in real time and convert it into a digital signal for transmission. The positioning device obtains the position information of the train according to different positioning technologies. For example, when using GPS positioning, the GPS receiver on the train receives satellite signals and calculates the longitude and latitude coordinates of the train as the position information. Another example is that by using a transponder combined with a wheel speedometer, the section mileage position information of the vehicle can be obtained. These information can be transmitted back to the monitoring center in real time through the communication module on the train, such as wireless local area network (WLAN), LTE private network, etc.

[0053] S104. Determine the propagation area where the target train is located according to the position information and the distance threshold. The distance threshold is calculated according to the size parameters of the target tunnel.

[0054] It can be understood that the distance threshold is a distance value calculated based on the size parameters of the target tunnel (such as tunnel length, width, height, etc.), and is used to divide different signal propagation regions. The target base station is a base station set in the target tunnel in the rail wireless communication system. When the target train communicates through it, the solution in this application can be used to monitor it. The propagation region is different regions divided according to the distance between the target train and the target base station and the characteristics of the rail environment. Different propagation regions have different signal propagation characteristics. Specifically, the distance threshold can divide the propagation space of the target base station into two propagation regions: the near region and the far region. In the near region where the distance from the target base station is less than the distance threshold, the guided propagation has not been established yet, and the main propagation mode of the electromagnetic wave is multimode propagation, which is similar to the propagation of the wave in free space. Therefore, the free space propagation model can be used to calculate the propagation loss. In the far region where the distance from the target base station is less than the distance threshold, the higher-order modes have basically been attenuated, and the electromagnetic wave mainly propagates in the form of the main mode, which is similar to the propagation of the wave in the waveguide. Therefore, the propagation loss in this region can be fitted and corrected based on the waveguide propagation model and the specific situation of the tunnel to obtain a signal propagation model applicable to the far region.

[0055] In rail wireless communication, the propagation characteristics of signals are significantly affected by the rail environment, especially in special environments such as tunnels. The size parameters of the target tunnel have an important impact on the signal propagation loss, reflection, refraction, etc. By calculating the distance threshold according to the tunnel size parameters, the rail can be divided into different propagation regions, and each region has relatively consistent signal propagation characteristics. Determining the propagation region where the target train is located based on the position information of the target train and the distance threshold can provide a basis for selecting an appropriate signal propagation model subsequently.

[0056] S106. Select the corresponding signal propagation model according to the propagation region to obtain the target signal propagation model. The signal propagation model reflects the relationship between the propagation loss and the signal propagation distance corresponding to the target base station.

[0057] It can be understood that different models are applicable to different propagation environments, and each propagation region is pre-configured with a corresponding signal propagation model. The target signal propagation model is the model that best suits the signal propagation characteristics of the region selected according to the propagation region where the target train is located, and is used to accurately predict and analyze the propagation loss of the signal in this region. In the rail wireless communication system, due to the different environmental characteristics of different propagation regions, the signal propagation characteristics will also be different. Therefore, it is necessary to select an appropriate signal propagation model according to the propagation region to accurately describe the relationship between the propagation loss and the distance of the signal in this region. Only by selecting an appropriate model can the signal strength at different positions be accurately calculated and the working state of the base station be judged whether it is normal.

[0058] S108. Divide the target signal propagation model into multiple consecutive wireless model slices according to the preset propagation loss interval. A wireless model slice is an area where the propagation loss difference between the nearest end and the farthest end from the target base station is the preset propagation loss.

[0059] It can be understood that the preset propagation loss interval is a preset standard for the propagation loss difference used to divide the wireless model slices. It is determined according to actual requirements and signal analysis accuracy requirements, such as 3 dB. Different preset propagation loss intervals will result in different numbers and sizes of wireless model slices. The wireless model slices are multiple consecutive sub-regions obtained by dividing the area covered by the target signal propagation model according to the preset propagation loss interval. The propagation loss difference within each wireless model slice is within the preset propagation loss range, and they have similar signal propagation characteristics.

[0060] In rail wireless communication, in order to analyze the signal propagation situation more precisely, it is necessary to subdivide the area covered by the target signal propagation model. By dividing the target signal propagation model into multiple consecutive wireless model slices according to the preset propagation loss interval, the entire propagation area can be divided into multiple sub-regions with similar signal propagation characteristics. The advantage of doing this is that within each wireless model slice, the change in signal propagation loss is relatively small, and a comprehensively calculated propagation loss can be used to represent the propagation loss situation within the slice.

[0061] Specifically, when performing slicing, calculate the propagation loss at different positions according to the target signal propagation model. Starting from the target base station, divide the wireless model slices in sequence according to the preset propagation loss interval. During the division process, record the starting position, ending position, and corresponding propagation loss range of each wireless model slice. For example, if the preset propagation loss interval is 3 dB and the propagation loss calculated at the target base station by the target signal propagation model is 10 dB, then the propagation loss range of the first wireless model slice is 10 dB - 13 dB, and so on, dividing multiple consecutive wireless model slices.

[0062] S110. Determine the target slice where the target train is located from the wireless model slices according to the location information, and determine the ideal signal strength corresponding to the target slice.

[0063] It can be understood that the target slice refers to the specific slice where the train is currently located determined from multiple wireless model slices according to the location information of the target train. Each target slice has its corresponding propagation loss range and signal propagation characteristics. The ideal signal strength refers to the signal strength value that should be received by the train under ideal conditions (no interference, no signal fading, etc.) calculated according to the target signal propagation model in the target slice. It is a theoretical value used to compare with the actually received wireless signal strength to determine whether the base station is working properly.

[0064] Specifically, after determining the wireless model shards, based on the position information of the target train, the target shard where the train is located can be accurately determined. Since each wireless model shard has different signal propagation characteristics, by determining the target shard, the target signal propagation model parameters and the propagation loss range corresponding to this shard can be obtained. Then, using the target signal propagation model, combined with the position information and the propagation loss range of the target shard, the ideal signal strength corresponding to the target shard is calculated. The ideal signal strength provides a reference standard for subsequent judgment of the base station working state. By comparing the actually received wireless signal strength with the ideal signal strength, it can be determined whether the signal is normal and whether there are problems such as signal fading and interference.

[0065] S112, alarm the target base station according to the difference between the wireless signal strength and the ideal signal strength.

[0066] It can be understood that the wireless signal strength is the signal strength value actually received by the target train from the target base station, which reflects the actual signal quality of the current communication link. The ideal signal strength is the theoretical signal strength value calculated according to the target signal propagation model and the target shard where the target train is located. The difference between the two reflects the deviation degree of the actual signal from the ideal signal. When the difference exceeds a certain threshold, it indicates that the working state of the base station may be abnormal and an alarm is required.

[0067] In the track wireless communication system, ensuring stable and reliable communication between the train and the base station is the key to ensuring the safe operation of the train. By comparing the difference between the wireless signal strength and the ideal signal strength, it can be determined whether the working state of the base station is normal. If the actually received wireless signal strength is much lower than the ideal signal strength, it may mean that the base station transmission power is insufficient, the antenna is faulty, the signal is interfered or there are other problems; if the wireless signal strength is much higher than the ideal signal strength, it may also indicate an abnormality, such as signal reflection and interference. When the difference exceeds the preset alarm threshold, alarm the target base station in time, which can enable maintenance personnel or relevant systems to quickly understand the abnormal situation of the base station, take corresponding measures for troubleshooting and repair, and ensure the normal operation of the track wireless communication system. This step is the ultimate goal of the entire process. Through the analysis and judgment of the signal strength difference, the monitoring and alarm of the target base station state are realized, and the reliability and security of the track wireless communication are ensured. When alarming, the alarm times of the target base station in the current cycle can be recorded periodically, and different levels of alarm information can be sent according to the alarm times. For example, the first alarm is a general alarm, and the third alarm is a serious alarm, etc.

[0068] This solution first obtains the wireless signal strength and location information fed back by the target train, then determines the propagation area where the train is located based on the location information and the distance threshold calculated from the tunnel size parameters; then selects the corresponding signal propagation model according to the propagation area, and divides the wireless model into slices based on this model and the preset propagation loss interval; then determines the target slice where the train is located according to the train location information, and further calculates the ideal signal strength corresponding to the target slice; finally, compares the difference between the actual wireless signal strength and the ideal signal strength, and alarms the target base station when the difference exceeds the preset threshold. Through the coordination of multiple steps, this solution realizes the systematic monitoring of the base station status in track wireless communication during the operation of the train by using on-vehicle equipment, reduces the inspection burden of maintenance personnel, and improves the reliability, safety and operation efficiency of the track wireless communication system.

[0069] In one of the embodiments, please refer to Figure 2 , the process of determining the distance threshold includes steps S202 to S206.

[0070] S202, determine the first distance according to the height of the target tunnel and the signal wavelength corresponding to the target base station.

[0071] It can be understood that the signal wavelength emitted by the target base station is determined by the communication frequency band used, such as the 900 MHz frequency band and the 2 GHz frequency band, and different frequency bands correspond to different signal wavelengths. The signal wavelength refers to the distance that a wireless signal propagates in one cycle, and it is one of the important parameters that determine the signal propagation characteristics, directly affecting phenomena such as reflection, diffraction, and scattering of the signal in the tunnel. The first distance is a distance value calculated through a specific relationship between the height of the target tunnel and the signal wavelength corresponding to the target base station. It reflects a distance metric related to the degree to which signal propagation is affected by the tunnel structure in the height direction of the tunnel and is used to comprehensively determine the distance threshold subsequently. Specifically, it can be obtained by dividing the square of the height of the target tunnel by the signal wavelength to get the first distance.

[0072] In track wireless communication, the propagation of signals in the tunnel is restricted by the tunnel geometry. There is an interaction relationship between the height of the target tunnel and the signal wavelength, and this relationship affects the propagation characteristics of the signal in the vertical direction. When the signal propagates in the tunnel, the tunnel height will affect the reflection and diffraction phenomena of the signal. If the proportional relationship between the tunnel height and the signal wavelength is inappropriate, it may lead to serious reflection loss or diffraction distortion of the signal in the vertical direction, affecting the effective propagation distance and quality of the signal. By establishing a mathematical model of the target tunnel height and the signal wavelength and calculating the first distance, the degree of this influence can be quantified.

[0073] S204, determine the second distance according to the width of the target tunnel and the signal wavelength corresponding to the target base station.

[0074] It can be understood that the width of the target tunnel refers to the size of the tunnel in the horizontal direction, which is also an important geometric parameter affecting the propagation of wireless signals in the tunnel. The second distance is a distance value calculated based on a specific relationship between the width of the target tunnel and the signal wavelength corresponding to the target base station. Similar to the first distance, it reflects a distance metric related to the degree to which signal propagation is affected by the tunnel structure in the tunnel width direction. The second distance and the first distance jointly describe the constraint effect of the tunnel structure on signal propagation from different dimensions, providing comprehensive information for determining the distance threshold. Specifically, the second distance can be obtained by dividing the square of the width of the target tunnel by the signal wavelength.

[0075] In the tunnel environment of rail wireless communication, the propagation characteristics of signals not only change in the vertical direction (affected by the tunnel height), but also are significantly affected in the horizontal direction (affected by the tunnel width). The proportional relationship between the tunnel width and the signal wavelength determines the reflection, scattering, and diffraction of the signal in the horizontal direction. When the signal encounters the tunnel wall, a tunnel with a small width and an inappropriate ratio to the signal wavelength may cause strong reflection and scattering of the signal in the horizontal direction, resulting in rapid attenuation of the signal energy and complication of the propagation path, thus affecting the effective propagation distance of the signal. By calculating the second distance, this influence of the tunnel width on signal propagation can be quantified.

[0076] S206, determine the distance threshold according to the maximum value of the first distance and the second distance.

[0077] It can be understood that in the tunnel scenario of rail wireless communication, the signal propagation characteristics change with the change of the distance between the train and the base station. When the distance between the train and the base station is relatively close, the constraint effect of the signal on the tunnel boundary is relatively small, and it is closer to the free space propagation characteristics. The free space propagation model can be used to analyze the relationship between signal loss and propagation distance; as the distance increases, the signal is reflected and diffracted multiple times in the tunnel, and its propagation characteristics gradually conform to the waveguide propagation law. The first distance and the second distance respectively quantify the degree to which the signal is affected by the tunnel structure from the tunnel height and width directions. Taking the maximum value of the two to determine the distance threshold is because the limitation of signal propagation by the tunnel depends on the stricter constraint conditions in the height and width directions. When the distance between the train and the base station is less than this distance threshold, the signal propagation is more in line with the characteristics of the free space propagation model; when the distance exceeds the threshold, the waveguide propagation characteristics are prominent, and the waveguide propagation model is more applicable.

[0078] In one of the embodiments, determining the propagation area where the target train is located according to the location information and the distance threshold includes:

[0079] If it is determined according to the location information that the distance between the target train and the target base station is greater than the distance threshold, then determine that the propagation area is the first propagation area. The signal propagation model corresponding to the first propagation area includes: , where, is the propagation loss, is the signal frequency of the target base station, is the signal propagation distance of the target base station, and the unit is kilometers.

[0080] Otherwise, determine that the propagation area is the second propagation area. The signal propagation model corresponding to the second propagation area includes: , and the unit is meters.

[0081] In an in-vehicle wireless communication system, the propagation characteristics of signals vary due to the distance between the train and the base station and the environment (such as tunnel structure, etc.). The setting of the distance threshold is based on a comprehensive consideration of the influence of environmental factors such as the target tunnel on signal propagation. When the distance between the target train and the target base station is greater than the distance threshold, it means that the signal is relatively less constrained by the tunnel and other environments during propagation and is closer to the propagation state in a relatively open space. At this time, it is determined as the first propagation area and the corresponding signal propagation model is applied. On the contrary, when the distance between the target train and the target base station is less than or equal to the distance threshold, the signal is greatly affected by the tunnel and other environments during propagation. For example, the signal will be reflected and refracted multiple times on structures such as tunnel walls. At this time, it is determined as the second propagation area and a different signal propagation model is adopted. This model quantifies the relationship between frequency, distance, and propagation loss differently according to the characteristics that the signal propagation in this area is more constrained by the environment, and uses specific coefficients and constants to more accurately describe the propagation loss of the signal in this environment.

[0082] In one embodiment, to determine the ideal signal strength corresponding to the target shard, refer to Figure 3 , including steps S302 to S308.

[0083] S302. Determine the first propagation loss and the second propagation loss corresponding to both ends of the target shard according to the target signal propagation model respectively.

[0084] It can be understood that the first propagation loss is the signal propagation loss value calculated based on the distance between one end of the target slice (i.e., the starting end or the end closest to the target base station), the signal frequency, and the target signal propagation model. It reflects the amount of energy reduction when the signal propagates from the target base station to this end of the target slice. The second propagation loss is the signal propagation loss value calculated based on the distance between the other end of the target slice (i.e., the terminating end or the end farthest from the target base station), the signal frequency, and the target signal propagation model, which also reflects the energy loss situation when the signal propagates to this position. Determining the propagation losses at both ends of the target slice is to obtain the boundary conditions of signal loss within this sub-region. Since the signal propagation characteristics within the target slice are relatively consistent, but there is still a certain gradual change, the propagation losses at both ends represent the two end values of this gradual change. These two loss values will be used later to calculate the ideal signal strength within the target slice. They are the basic data in the calculation process and provide key information for accurately evaluating the signal strength within the target slice.

[0085] S304. Obtain the first ideal signal strength according to the first propagation loss and the preset signal strength corresponding to the target base station.

[0086] It can be understood that the preset signal strength is the intensity value of the signal transmitted by the target base station set in advance. It represents the energy level of the signal transmitted by the base station under ideal conditions, and the unit is usually dBm, etc. This value is a reference parameter used to calculate the ideal signal strength at different positions within the target slice later and can be determined according to the equipment parameters of the base station and the design requirements of the communication system. The first ideal signal strength is calculated based on the first propagation loss and the preset signal strength, representing the signal strength value that the train should receive at one end of the target slice under ideal conditions (without interference, no additional signal fading, etc.). It is a theoretical quantification of the signal strength at this end of the target slice and is used for comparative analysis with the actually received signal strength. In rail wireless communication, after the signal is transmitted from the base station, it will experience losses (such as path attenuation, reflection, refraction, etc.) during the propagation process, that is, the propagation loss. The preset signal strength is the initial strength of the signal transmitted by the base station, and the first propagation loss reflects the energy reduction situation when the signal propagates to one end of the target slice. According to the basic principle of signal propagation, the ideal signal strength at the receiving end is equal to the preset signal strength at the transmitting end minus the loss during the propagation process. Therefore, by subtracting the first propagation loss from the preset signal strength, the first ideal signal strength can be obtained. This calculation result is the theoretical value of the signal strength at one end of the target slice and provides a reference standard for subsequent evaluation of whether the actual signal strength at this position is normal.

[0087] S306. Obtain the second ideal signal strength according to the second propagation loss and the preset signal strength.

[0088] It can be understood that the second ideal signal strength is calculated based on the second propagation loss and a preset signal strength, representing the signal strength value that the train should receive at the other end of the target shard under ideal conditions (no interference, no additional signal fading, etc.). It corresponds to the first ideal signal strength and jointly describes the ideal signal strength conditions at both ends of the target shard, which is used for subsequent calculations of the overall ideal signal strength of the target shard and for evaluating the rationality of the signal strength in this area. Similar to the principle of calculating the first ideal signal strength, the second propagation loss occurs when the signal is transmitted from the base station and propagates to the other end of the target shard. The preset signal strength is the initial energy level of the signal transmitted by the base station. According to the principle of energy loss during signal propagation, the ideal signal strength at the receiving end is equal to the preset signal strength at the transmitting end minus the loss during propagation. Therefore, subtracting the second propagation loss from the preset signal strength can obtain the second ideal signal strength.

[0089] S308. Obtain the ideal signal strength based on the mean value of the first ideal signal strength and the second ideal signal strength.

[0090] It can be understood that the first ideal signal strength and the second ideal signal strength respectively represent the signal strengths at both ends of the target shard under ideal conditions. Since the signal propagation characteristics within the target shard are relatively consistent, the signal strength has a certain gradual change trend within this area rather than showing a sudden change at both ends. By calculating the mean value of the ideal signal strengths at both ends, a value that can comprehensively reflect the overall signal strength situation within the target shard can be obtained, that is, the ideal signal strength. This ideal signal strength will be used as a standard value for subsequent comparison with the signal strength actually received by the target train within the target shard, so as to determine whether the signal is normal and whether there are problems such as signal fading and interference.

[0091] In one of the embodiments, the antenna of the target base station is provided with an excitation tag, and the global wireless signal sensing method further includes: if an alarm is issued for the target base station, controlling the target base station to send an excitation signal to the excitation tag. Determine the cause of the alarm of the target base station according to the difference between the reflected power and the set power fed back by the excitation tag in response to the excitation signal.

[0092] It can be understood that the excitation tag is a special device installed on the antenna of the target base station. It can receive the excitation signal sent by the target base station and feedback the corresponding reflected power according to the received signal. Usually, specific circuits or chips are integrated inside the excitation tag to achieve the functions of signal reception, processing, and reflection. Its characteristics are crucial for accurately detecting problems related to the base station antenna. Generally, it can be a tag based on RFID (Radio Frequency Identification) technology. When an alarm is issued for the target base station, it means that the working state of the base station may have abnormal conditions, such as abnormal signal strength, degraded communication quality, antenna loosening, etc. At this time, controlling the target base station to send an excitation signal to the excitation tag is to further obtain detailed status information about the base station antenna. After receiving the excitation signal, the excitation tag will feedback the corresponding reflected power. The set power is a pre-set reference power value used to compare with the reflected power feedback by the excitation tag. When the antenna is in a normal state and the same excitation signal is used, it is determined based on the average value of the reflected power. The magnitude of the reflected power is related to the antenna state of the target base station. According to the difference between the reflected power and the set power, it is possible to check whether the alarm reason of the target base station is related to the antenna.

[0093] In one embodiment, determining the alarm reason of the target base station according to the difference between the reflected power feedback by the excitation tag in response to the excitation signal and the set power includes: if the difference between the reflected power and the set power is greater than the abnormal threshold, determining that the alarm reason is antenna abnormality. Otherwise, obtaining the control plane information of the target base station and determining the alarm reason according to the control plane information.

[0094] It can be understood that the set power is a pre-set reference power value, which is the reflected power value expected to be obtained under ideal conditions, that is, when the antenna is in normal working condition and the excitation tag responds normally. The abnormal threshold is a pre-set numerical standard used to determine whether the difference between the reflected power and the set power is within the normal range. When the difference between the two exceeds this threshold, it indicates that there may be an abnormal situation related to the antenna. The setting of this threshold is usually based on a large amount of experimental test data and statistical analysis of the fluctuation range of the reflected power when the antenna is working normally. The excitation signal is a radio frequency signal with a specific frequency, power, and modulation method transmitted by the target base station through its antenna. Its function is to activate the excitation tag so that it can feedback the reflected power, thereby providing a data basis for judging the antenna state. After receiving the excitation signal, the excitation tag is activated by obtaining energy, and thus can transmit the stored information as a response signal back along the path where the excitation signal is transmitted through its own circuit. Whether there is a problem with the antenna can be judged according to the magnitude of the reflected power corresponding to the response signal.

[0095] If the difference between the reflected power and the set power is greater than the abnormal threshold, it means that the transmitting and receiving performance of the antenna may have changed. Possible causes include physical damage to the antenna (such as deformed oscillators, broken feeder lines, loose antenna connectors, etc.), drift of the electrical parameters of the antenna (such as decreased gain, distorted radiation pattern, etc.). These situations will cause abnormalities in the transmission and reflection of the excitation signal, resulting in the reflected power deviating from the set value. When the difference between the reflected power and the set power is not greater than the abnormal threshold, it indicates that there may be no obvious problem with the antenna in terms of radio frequency performance. At this time, the cause of the alarm may lie in other parts of the base station, such as software failures in the control plane, incorrect parameter configurations, or communication problems with other devices. Therefore, it is necessary to further obtain the control plane information of the target base station for troubleshooting. Based on devices such as excitation tags configured on each base station, an interface detection system of the base station can be formed. Cooperating with the on-vehicle equipment of the train and the monitoring center, the large transportation active perception system formed after the integration of multiple systems divides the entire vehicle-ground wireless complex system into different perception sub-units, and can accurately judge the fault location, fault type, and fault cause of the vehicle-ground wireless signal within a driving section of dozens of kilometers, and through the real-time wireless channel model, dynamically adjust the system to achieve a more accurate purpose of wireless signal perception.

[0096] In one of the embodiments, determining the cause of the alarm according to the control plane information includes: if the control plane information carries the information of underpower transmission, determining that the cause of the alarm is the underpower of the base station. Otherwise, obtaining the data plane information of the target base station, and determining the network quality based on the data plane information and the control plane information. If the network quality is lower than the quality threshold, determining that the cause of the alarm is the internal network delay.

[0097] It can be understood that in an in-vehicle wireless communication system, the set of various data parameters included in the control plane of the target base station covers the base station configuration parameters (such as transmit power setting, operating frequency band, modulation method, etc.), device operating status parameters (such as operating voltage, temperature, operating duration, etc.), signaling interaction information (the control command transmission situation with the core network and adjacent base stations), and fault diagnosis codes, etc. These information are mainly used to achieve the configuration management, status monitoring, and signaling interaction control of the base station, and are the key data for understanding the operating status and control logic of the base station. The transmit underpower information is a specific data identifier in the control plane information, used to indicate that the actual transmit power of the base station is lower than the preset normal operating power range. When faults occur in the power amplifier of the base station, abnormal power supply systems, incorrect transmit parameter configurations, etc., transmit underpower information may be generated, which is an important basis for judging whether there is a power shortage problem in the base station. Base station underpower refers to the fault state in which the transmit power of the target base station cannot reach the level required for normal operation during signal transmission. This state will lead to a reduction in signal coverage, a decline in communication quality, and may even cause communication interruptions, affecting the normal communication between the in-vehicle train and the base station. The data plane information corresponds to the control plane information and is various service data and related parameters for the data plane transmission and processing of the target base station, including user data traffic statistics (such as data transmission volume, reception volume, data packet loss rate), data transmission rate, link error rate, data cache status, etc. The data plane information directly reflects the performance of the base station during actual service transmission and is an important indicator for evaluating the quality of network data transmission. Network quality is a quantitative indicator comprehensively measuring the performance of an in-vehicle wireless communication network, obtained by analyzing and calculating multiple key parameters in the control plane information and the data plane information. Network quality assessment involves multiple dimensions such as signal strength, data transmission rate, packet loss rate, and latency, and is used to judge whether the network can meet the normal communication requirements. The quality threshold is a preset standard value of network quality, used as the critical value for judging the quality of the network. When the calculated network quality index is lower than this threshold, it indicates that the network performance cannot meet the service requirements and there may be faults or abnormal conditions; otherwise, the network is considered to be in a normal operating state. The internal network latency is the time delay experienced by data when transmitted from the transmit end to the receive end of the base station in the internal network of the in-vehicle wireless communication system. Excessive internal network latency will cause untimely data transmission, affecting the timeliness and reliability of train control commands, and is one of the common reasons for the decline in network communication quality, which may be caused by factors such as network congestion, incorrect routing configuration, and insufficient device processing capabilities.

[0098] In an orbital wireless communication system, by comprehensively analyzing the control plane information and data plane information, the reasons for target base station alarms can be systematically investigated. First of all, the control plane information directly reflects the configuration and operation control status of the base station. When the control plane information carries the information of underpowered transmission, it indicates that there is a problem in the power transmission link of the base station. Based on this, the alarm reason can be directly determined as the base station being underpowered. Because the transmission power is a key factor affecting signal coverage and communication quality, underpower will directly lead to communication anomalies. If no underpowered transmission information is found in the control plane information, it is necessary to further analyze the data plane information. The data plane information records the transmission situation of actual service data, and combined with the control plane information, it can more comprehensively evaluate the network quality. By comprehensively analyzing parameters such as data traffic, transmission rate, and bit error rate in the data plane information, as well as the signaling interaction status in the control plane information, network quality indicators are calculated. The quality threshold is used as a measurement standard to determine whether the network quality meets the standard. When the network quality is lower than the quality threshold, it indicates that there are abnormal factors affecting communication in the network, and internal network latency is one of the common reasons for the decline in network quality. Since orbital wireless communication has extremely high requirements for the real-time nature of data transmission, excessive internal network latency will seriously affect the transmission efficiency and accuracy of train control commands. Therefore, after excluding the reason of base station underpower, if the network quality does not meet the standard, the alarm reason can be determined as internal network latency. The whole process adopts a hierarchical and gradually in-depth analysis method, first making a preliminary judgment from the control plane information, and then conducting in-depth analysis in combination with the data plane information, so as to accurately locate the reasons for target base station alarms, ensure the accuracy and efficiency of fault investigation in the orbital wireless communication system, and provide a reliable basis for subsequent targeted repair measures.

[0099] The present application provides a global wireless signal perception device, including a data acquisition module, a data acquisition module, a propagation area determination module, a propagation model determination module, an allocation module, an ideal signal strength determination module, and an alarm module. The data acquisition module is used to acquire the wireless signal strength and position information fed back by the target train. The propagation area determination module is used to determine the propagation area where the target train is located according to the position information and the distance threshold. The distance threshold is calculated according to the size parameters of the target tunnel. The propagation model determination module is used to select the corresponding signal propagation model according to the propagation area to obtain the target signal propagation model. The signal propagation model reflects the relationship between propagation loss and the signal propagation distance corresponding to the target base station. The allocation module is used to divide and obtain a plurality of continuous wireless model slices according to the target signal propagation model and the preset propagation loss interval. The wireless model slice is an area where the propagation loss gap between the nearest end and the farthest end from the target base station is the preset propagation loss. The ideal signal strength determination module is used to determine the target slice where the target train is located from the wireless model slices according to the position information, and determine the ideal signal strength corresponding to the target slice. The alarm module is used to alarm the target base station according to the difference between the wireless signal strength and the ideal signal strength.

[0100] For the specific limitations of the wireless environment perception device, reference can be made to the limitations of the global wireless signal perception method in the foregoing text, which will not be elaborated herein. Each module in the above-mentioned wireless environment perception device can be implemented in whole or in part by software, hardware, and their combination. Each of the above modules can be embedded in the processor of the computer device in hardware form or independent of it, or stored in the memory of the computer device in software form, so as to facilitate the processor to call and execute the operations corresponding to each of the above modules. It should be noted that the division of modules in the embodiments of the present application is illustrative, only a logical function division, and there may be other division methods in actual implementation.

[0101] The present application provides a computer device, including one or more processors, and a memory. Computer-readable instructions are stored in the memory. When the computer-readable instructions are executed by one or more processors, the steps of the global wireless signal perception method in any of the above embodiments are executed.

[0102] Schematically, as Figure 4 shown, Figure 4 is a schematic internal structure diagram of a computer device provided by an embodiment of the present application. Referring to Figure 4 , the computer device 400 includes a processing component 402, which further includes one or more processors, and memory resources represented by a memory 401 for storing instructions executable by the processing component 402, such as application programs. The application programs stored in the memory 401 can include one or more modules, each corresponding to a set of instructions. In addition, the processing component 402 is configured to execute instructions to perform the steps of the global wireless signal perception method in any of the above embodiments.

[0103] The computer device 400 may further include a power supply component 403 configured to perform power management of the computer device 400, a wired or wireless network interface 404 configured to connect the computer device 400 to a network, and an input / output (I / O) interface 405.

[0104] The present application provides a storage medium, in which computer-readable instructions are stored. When the computer-readable instructions are executed by one or more processors, one or more processors are caused to execute the steps of the global wireless signal perception method in any of the above embodiments.

[0105] Finally, it should also be noted that in this text, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, such that a process, method, article or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, article or device comprising said element.

[0106] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The embodiments can be combined as needed, and the same or similar parts can be referred to each other.

[0107] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be obvious to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for global wireless signal perception, characterized in that Including: Obtaining the wireless signal strength and location information fed back by the target train; Determining the propagation area where the target train is located according to the location information and the distance threshold; The distance threshold is calculated according to the size parameters of the target tunnel; Selecting a corresponding signal propagation model according to the propagation area to obtain a target signal propagation model; the signal propagation model reflects the relationship between propagation loss and the signal propagation distance corresponding to the target base station; Dividing the target signal propagation model according to the preset propagation loss interval to obtain a plurality of continuous wireless model slices; the wireless model slice is an area where the propagation loss difference between the nearest end and the farthest end from the target base station is the preset propagation loss; Determining the target slice where the target train is located from the wireless model slices according to the location information, and determining the ideal signal strength corresponding to the target slice; Giving an alarm to the target base station according to the difference between the wireless signal strength and the ideal signal strength.

2. The omnidirectional wireless signal sensing method according to claim 1, wherein The process of determining the distance threshold includes: Determining a first distance according to the height of the target tunnel and the signal wavelength corresponding to the target base station; Determining a second distance according to the width of the target tunnel and the signal wavelength corresponding to the target base station; Determining the distance threshold according to the maximum value of the first distance and the second distance.

3. The omnidirectional wireless signal sensing method according to claim 1, characterized in that, The determining the propagation area where the target train is located according to the location information and the distance threshold includes: If it is determined according to the position information that the distance between the target train and the target base station is greater than the distance threshold, then the propagation area is determined to be the first propagation area; the signal propagation model corresponding to the first propagation area includes: , where is the propagation loss, is the signal frequency of the target base station, is the signal propagation distance of the target base station, and the unit is kilometer; Otherwise, determine that the propagation area is the second propagation area; the signal propagation model corresponding to the second propagation area includes: , and the unit is meters.

4. The method for global wireless signal sensing according to claim 1, wherein The determining the ideal signal strength corresponding to the target slice includes: Respectively determining a first propagation loss and a second propagation loss corresponding to both ends of the target slice according to the target signal propagation model; Obtaining a first ideal signal strength according to the first propagation loss and the preset signal strength corresponding to the target base station; Obtaining a second ideal signal strength according to the second propagation loss and the preset signal strength; Obtaining the ideal signal strength according to the average value of the first ideal signal strength and the second ideal signal strength.

5. The method for global wireless signal sensing according to claim 1, wherein The antenna of the target base station is provided with an excitation tag, and the method for global wireless signal perception further includes: If an alarm is given to the target base station, controlling the target base station to send an excitation signal to the excitation tag; Determining the alarm reason of the target base station according to the difference between the reflected power fed back by the excitation tag in response to the excitation signal and the set power.

6. The method for global wireless signal perception according to claim 5, characterized in that, The determining the alarm reason of the target base station according to the difference between the reflected power fed back by the excitation tag in response to the excitation signal and the set power includes: If the difference between the reflected power and the set power is greater than the abnormal threshold, determining that the alarm reason is antenna abnormality; Otherwise, obtaining the control plane information of the target base station, and determining the alarm reason according to the control plane information.

7. The omnidirectional wireless signal sensing method according to claim 6, wherein The determining the alarm reason according to the control plane information includes: If the control plane information carries the information of transmission underpower, determining that the alarm reason is base station underpower; Otherwise, obtaining the data plane information of the target base station, and determining the network quality from the data plane information and the control plane information; If the network quality is lower than the quality threshold, determining that the alarm reason is internal network delay.

8. An omnidirectional wireless signal sensing device, characterized in that, Including: A data acquisition module, configured to acquire the wireless signal strength and location information fed back by a target train; A propagation area determination module, configured to determine the propagation area where the target train is located according to the location information and a distance threshold; the distance threshold is calculated according to the size parameters of a target tunnel; A propagation model determination module, configured to select a corresponding signal propagation model according to the propagation area to obtain a target signal propagation model; the signal propagation model reflects the relationship between propagation loss and the signal propagation distance corresponding to a target base station; An allocation module, configured to divide, according to the target signal propagation model and a preset propagation loss interval, to obtain a plurality of consecutive wireless model slices; the wireless model slice is an area where the propagation loss difference between the nearest end and the farthest end from the target base station is the preset propagation loss; An ideal signal strength determination module, configured to determine, according to the location information, the target slice where the target train is located from the wireless model slices, and determine the ideal signal strength corresponding to the target slice; An alarm module, configured to alarm the target base station according to the difference between the wireless signal strength and the ideal signal strength.

9. A computer device, characterized in that, Including one or more processors, and a memory, where computer-readable instructions are stored in the memory, and when the computer-readable instructions are executed by the one or more processors, the steps of the global wireless signal perception method according to any one of claims 1-7 are executed.

10. A storage medium, characterized in that, Computer-readable instructions are stored in the storage medium, and when the computer-readable instructions are executed by one or more processors, one or more processors are caused to execute the steps of the global wireless signal perception method according to any one of claims 1-7.

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