A method, device, computer device, and storage medium for global wireless signal perception

Abstract

The present application provides a global wireless signal perception method, device, computer equipment and storage medium. The solution first obtains the wireless signal strength and location information fed back by the target train, and then determines the propagation area where the train is located based on the location information and the distance threshold calculated by the tunnel size parameters; then selects the corresponding signal propagation model according to the propagation area, and obtains wireless model fragments based on this model and the preset propagation loss interval segmentation; then determines the target fragment where the train is located based on the train position information, and then calculates the ideal signal strength corresponding to the target fragment; finally, compares the difference between the actual wireless signal strength and the ideal signal strength, and when the difference exceeds the preset threshold, alerts the target base station. Through multi-step coordination, the solution uses on-board equipment to achieve systematic monitoring of the base station status during the operation of the train, reducing the inspection burden of operation and maintenance personnel and improving the reliability, safety and operation efficiency of the rail wireless communication system.

Description

Technical Field

[0001] The present application relates to the field of wireless signal detection technology, and in particular to a global wireless signal perception method, apparatus, computer equipment, and storage medium. Background Art

[0002] The rail transit industry employs a variety of wireless signal standards. However, with the recent rapid development of urban high-speed rail, reaching speeds of up to 160 km / h, wireless signal stability is becoming increasingly important. While significant operational and maintenance resources are invested to ensure wireless signal security, the current industry reality is a low level of intelligent wireless operation and maintenance. Common wireless signal standards include LTE-M and LTE-U for carrying CBTC systems, B-TrunC for trunked voice, and WiFi for PIS systems. These wireless signals are transmitted through indoor distributed wireless signal coverage systems in stations, leaky cable systems within track sections, and antenna systems within track areas (which transmit WiFi and LTE-M signals), forming a global wireless signal landscape for rail transit. Operation and maintenance of wireless signal base stations often requires multiple maintenance personnel, carrying test equipment, to enter stations early in the morning and conduct daily, quarterly, semi-annual, and annual inspections within the track areas. This results in duplication of work, high inspection personnel costs, and low efficiency. Summary of the Invention

[0003] The purpose of this application is to solve at least one of the above-mentioned technical defects, and in particular to provide a global wireless signal sensing method, device, computer equipment and storage medium that can automatically perform wireless signal inspection and alarm in tunnels.

[0004] In a first aspect, the present application provides a global wireless signal sensing method, comprising:

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

[0006] Determine the propagation area where the target train is located based on the location information and the distance threshold; the distance threshold is calculated based on 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] Multiple continuous wireless model slices are obtained based on the target signal propagation model and the preset propagation loss interval segmentation; 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 slice based on the location information, and determine the ideal signal strength corresponding to the target slice;

[0010] The target base station is alerted based on the difference between the wireless signal strength and the ideal signal strength.

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

[0012] Determining a first distance based on the height of the target tunnel and the signal wavelength corresponding to the target base station;

[0013] determining a second distance based on the width of the target tunnel and the signal wavelength corresponding to the target base station;

[0014] A distance threshold is determined according to a maximum value between the first distance and the second distance.

[0015] In one embodiment, determining the propagation area where the target train is located based on the position information and the distance threshold includes:

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

[0017] Otherwise, the propagation area is determined to be the second propagation area; the signal propagation model corresponding to the second propagation area includes: , It is the signal propagation distance of the target base station when the propagation area is the second propagation area, and the unit is meter.

[0018] In one embodiment, determining an ideal signal strength corresponding to a 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;

[0020] Obtaining a first ideal signal strength based on the first propagation loss and a preset signal strength corresponding to the target base station;

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

[0022] The ideal signal strength is obtained according to the average 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 global wireless signal sensing method further includes:

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

[0025] The alarm cause of the target base station is determined based on 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 cause of the target base station based on 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, the alarm is determined to be caused by antenna abnormality;

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

[0029] In one embodiment, determining the alarm cause based on the control plane information includes:

[0030] If the control plane information carries the transmission underpower information, the alarm cause is determined to be base station underpower;

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

[0032] If the network quality is lower than the quality threshold, the alarm is determined to be caused by intranet delay.

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

[0034] A data acquisition module is used to obtain the wireless signal strength and location information fed back by the target train;

[0035] a propagation area determination module, configured to determine the propagation area of the target train based on the location information and a distance threshold value; the distance threshold value is calculated based on the size parameters of the target tunnel;

[0036] A propagation model determination module is used 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 is configured to obtain a plurality of continuous wireless model slices according to a target signal propagation model and a 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 equal to the preset propagation loss;

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

[0039] The alarm module is used to issue an alarm to the target base station based on the difference between the wireless signal strength and the ideal signal strength.

[0040] In a third aspect, the present application provides a computer device comprising one or more processors and a memory, wherein the memory stores computer-readable instructions. 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.

[0041] In a fourth aspect, the present application provides a storage medium storing computer-readable instructions. When the computer-readable instructions are executed by one or more processors, the one or more processors 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] This solution first obtains the wireless signal strength and location information fed back by the target train, and then determines the propagation area where the train is located based on the location information and the distance threshold calculated by the tunnel size parameters; then selects the corresponding signal propagation model according to the propagation area, and obtains wireless model fragments based on this model and the preset propagation loss interval; then determines the target fragment where the train is located based on the train position information, and then calculates the ideal signal strength corresponding to the target fragment; finally, compares the difference between the actual wireless signal strength and the ideal signal strength, and issues an alarm to the target base station when the difference exceeds the preset threshold. Through multi-step coordination, this solution uses on-board equipment to achieve systematic monitoring of the status of base stations in rail wireless communications during the operation of the train, reducing the inspection burden of operation and maintenance personnel and improving the reliability, safety and operation efficiency of the rail wireless communication system. Illustrations

[0044] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0045] Figure 1 This is a flow chart of a global wireless signal sensing method according to an embodiment of the present application;

[0046] Figure 2This is a schematic diagram of a process for determining a distance threshold in one embodiment of the present application;

[0047] Figure 3 This is a flow chart of determining the ideal signal strength corresponding to a target slice in one embodiment of the present application;

[0048] Figure 4 A diagram of the internal structure of a computer device provided for one embodiment of the present application. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0050] This application provides a global wireless signal perception method, see Figure 1 , including steps S102 to S112.

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

[0052] It will be understood that the target train is a specific train operating on the track. In the rail wireless communication system, the train is equipped with onboard active sensing equipment that can detect information such as wireless signal strength and signal-to-noise ratio. In this application, the target train is operating within a target tunnel, where at least one base station is installed. The base station is responsible for signal coverage within the target tunnel. The method described in this application primarily relies on the operating status of the base station to be sensed by the in-service train, thereby replacing manual inspections. Wireless signal strength refers to the strength of the wireless signal received by the target train, typically expressed as power or relative intensity, with units generally in dBm. Position information represents the specific location of the target train on the track and can be obtained through various positioning technologies, such as the Global Positioning System, track circuit positioning, and inertial navigation positioning. Its function is to determine the train's precise position within the track network, providing a basis for subsequent signal propagation analysis and management. The required information can be obtained by installing wireless signal receiving equipment and positioning equipment on the target train. The wireless signal receiving equipment measures the strength of the wireless signal received from the base station in real time and converts it into a digital signal for transmission. The positioning equipment obtains the train's position information based on different positioning technologies. For example, when using GPS positioning, the train's GPS receiver receives satellite signals and calculates the train's longitude and latitude coordinates as location information. Another example is using a transponder in conjunction with a wheel speedometer to obtain the vehicle's mileage and location information. This information can be transmitted back to the monitoring center in real time via the train's communication modules, such as wireless local area networks (WLAN) and LTE private networks.

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

[0054] It can be understood that the distance threshold is a distance value calculated based on the dimensional parameters of the target tunnel (such as tunnel length, width, height, etc.) and is used to divide different signal propagation areas. The target base station is a base station installed in the target tunnel in the rail wireless communication system. When the target train communicates through it, it can be monitored using the solution described in this application. The propagation area is a region divided according to the distance between the target train and the target base station and the characteristics of the track environment. Different propagation areas have different signal propagation characteristics. Specifically, the distance threshold can divide the propagation space of the target base station into two propagation areas: a near zone and a far zone. In the near zone, where the distance from the target base station is less than the distance threshold, guided propagation has not yet been established. The main propagation mode of electromagnetic waves is multimode propagation, similar to wave propagation in free space. Therefore, the propagation loss can be calculated using the free space propagation model. In the far zone, where the distance from the target base station is less than the distance threshold, the higher-order modes are largely attenuated, and the electromagnetic waves propagate primarily as the main mode, similar to wave propagation in a waveguide. Therefore, the propagation loss in this area can be fitted and corrected based on the waveguide propagation model and the specific conditions of the tunnel to obtain a signal propagation model suitable for the far zone.

[0055] In rail wireless communications, signal propagation characteristics are significantly affected by the track environment, particularly in specialized environments like tunnels. The target tunnel's dimensions significantly impact signal propagation loss, reflection, and refraction. By calculating distance thresholds based on tunnel dimensions, the track can be divided into distinct propagation zones, each with relatively consistent signal propagation characteristics. Determining the target train's propagation zone based on its location and distance threshold provides a basis for selecting an appropriate signal propagation model.

[0056] S106: 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.

[0057] It is understandable that different models are suitable for different propagation environments, and each propagation area is pre-configured with a corresponding signal propagation model. The target signal propagation model is a model that is selected based on the propagation area where the target train is located and is most suitable for the signal propagation characteristics of the area. It is used to accurately predict and analyze the signal propagation loss in this area. In rail wireless communication systems, due to the different environmental characteristics of different propagation areas, there will also be differences in the propagation characteristics of the signal. Therefore, it is necessary to select an appropriate signal propagation model based on the propagation area to accurately describe the relationship between the signal propagation loss and distance in the area. Only by selecting the appropriate model can the signal strength at different locations be accurately calculated and the working status of the base station be determined to be normal.

[0058] S108: Segment the target signal propagation model and 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.

[0059] It can be understood that the preset propagation loss interval is a pre-set propagation loss difference standard used to divide wireless model slices. It is determined based on actual needs and signal analysis accuracy requirements, for example, 3dB. Different preset propagation loss intervals will result in different numbers and sizes of wireless model slices. Wireless model slices are multiple contiguous sub-areas obtained by dividing the area covered by the target signal propagation model according to the preset propagation loss interval. The signal propagation loss difference within each wireless model slice is within the preset propagation loss range and has similar signal propagation characteristics.

[0060] In rail wireless communications, to more accurately analyze signal propagation, it's necessary to subdivide the area covered by the target signal propagation model. By creating multiple continuous wireless model slices based on the target signal propagation model and preset propagation loss intervals, the entire propagation area can be divided into multiple sub-areas with similar signal propagation characteristics. This approach offers the advantage of relatively small variations in signal propagation loss within each wireless model slice, allowing a single, comprehensively calculated propagation loss to represent the propagation loss within that slice.

[0061] Specifically, during slicing, the propagation loss at different locations is calculated based on the target signal propagation model. Starting from the target base station, the wireless model is divided into slices sequentially according to the preset propagation loss interval. During the segmentation process, the starting and ending positions of each wireless model slice and the corresponding propagation loss range are recorded. For example, if the preset propagation loss interval is 3dB and the target signal propagation model calculates a propagation loss of 10dB at the target base station, the propagation loss range of the first wireless model slice is 10dB - 13dB. This range is repeated for multiple consecutive wireless model slices.

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

[0063] As you can understand, the target slice refers to the specific slice where the train is currently located, determined from multiple wireless model slices based on the target train's location information. Each target slice has its own corresponding propagation loss range and signal propagation characteristics. Ideal signal strength refers to the signal strength value that the train should receive in the target slice under ideal conditions (no interference, no signal fading, etc.), calculated based on the target signal propagation model. This is a theoretical value used for comparison with the actual received wireless signal strength to determine whether the base station is operating properly.

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

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

[0066] As you can understand, wireless signal strength is the actual signal strength received by the target train from the target base station, reflecting the actual signal quality of the current communication link. Ideal signal strength is the theoretical signal strength value calculated based on the target signal propagation model and the target slice where the target train is located. The difference between the two reflects the degree of deviation between the actual signal and the ideal signal. When the difference exceeds a certain threshold, it indicates that the base station's operating status may be abnormal, and an alarm is required.

[0067] In rail wireless communication systems, ensuring stable and reliable communication between trains and base stations is crucial for safe train operation. By comparing the difference between wireless signal strength and ideal signal strength, the normal operating status of the base station can be determined. If the actual received wireless signal strength is significantly lower than the ideal signal strength, this may indicate insufficient base station transmit power, antenna failure, signal interference, or other issues. If the wireless signal strength is significantly higher than the ideal signal strength, it may also indicate an anomaly such as signal reflection or interference. When the difference exceeds the preset alarm threshold, a timely alarm is issued to the target base station, allowing maintenance personnel or related systems to quickly identify the abnormality and take appropriate measures to troubleshoot and repair it, thereby ensuring the normal operation of the rail wireless communication system. This step is the ultimate goal of the entire process. By analyzing and determining the signal strength difference, the status of the target base station can be monitored and alarmed, ensuring the reliability and security of rail wireless communication. When an alarm is issued, the number of alarms generated by the target base station in the current cycle can be recorded periodically, and different levels of alarm information can be sent based on the number of alarms. For example, the first alarm is a minor alarm, and the third alarm is a severe alarm.

[0068] This solution first obtains the wireless signal strength and location information fed back by the target train. It then determines the train's propagation area based on the location information and a distance threshold calculated from tunnel size parameters. It then selects a corresponding signal propagation model based on the propagation area and segments the wireless model using this model and a preset propagation loss interval. The train's location information is then used to determine the target segment, and the ideal signal strength corresponding to the target segment is calculated. Finally, the actual wireless signal strength is compared with the ideal signal strength, and an alarm is issued to the target base station if the difference exceeds a preset threshold. This solution, through multi-step collaboration, utilizes onboard equipment to systematically monitor the status of base stations in rail wireless communication during train operation, reducing the inspection burden on operators and maintenance personnel and improving the reliability, safety, and operational efficiency of the rail wireless communication system.

[0069] In one embodiment, see Figure 2 The process of determining the distance threshold includes steps S202 to S206.

[0070] S202: Determine a 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 wavelength of the signal emitted by the target base station is determined by the communication frequency band used, such as the 900MHz band and the 2GHz band. Different frequency bands correspond to different signal wavelengths. Signal wavelength refers to the distance that a wireless signal propagates in one cycle. It is one of the important parameters that determine the signal propagation characteristics and directly affects phenomena such as reflection, diffraction, and scattering of the signal in the tunnel. The first distance is a distance value calculated based on the specific relationship between the height of the target tunnel and the signal wavelength corresponding to the target base station. It reflects a distance measurement related to the degree to which the signal propagation is affected by the tunnel structure in the direction of the tunnel height, and is used for the subsequent comprehensive determination of the distance threshold. Specifically, the first distance can be obtained by dividing the square of the height of the target tunnel by the signal wavelength.

[0072] In rail wireless communications, signal propagation within tunnels is constrained by the tunnel's geometry. The target tunnel height and signal wavelength interact, influencing the vertical propagation characteristics of the signal. As the signal propagates within the tunnel, the tunnel height influences its reflection and diffraction. If the ratio of tunnel height to signal wavelength is not appropriate, the signal may experience severe vertical reflection loss or diffraction distortion, affecting its effective propagation distance and quality. By establishing a mathematical model of the target tunnel height and signal wavelength and calculating the primary distance, the extent of this effect can be quantified.

[0073] S204: Determine a 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 horizontal dimension of the tunnel, and it is also an important geometric parameter that affects the propagation of wireless signals within the tunnel. The second distance is a distance value calculated based on the 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 constraints of the tunnel structure on signal propagation from different dimensions, providing comprehensive information for determining the distance threshold. Specifically, the second distance can be calculated by dividing the square of the width of the target tunnel by the signal wavelength.

[0075] In the tunnel environment of rail wireless communications, signal propagation characteristics vary not only vertically (influenced by tunnel height) but also horizontally (influenced by tunnel width). The ratio of tunnel width to signal wavelength determines the horizontal reflection, scattering, and diffraction of the signal. When the signal encounters the tunnel wall, a tunnel with a small width and an inappropriate ratio to the signal wavelength may cause strong horizontal reflection and scattering of the signal, resulting in rapid attenuation of signal energy and a complex propagation path, thus reducing the effective signal propagation distance. By calculating the second distance, it is possible to quantify this effect of tunnel width on signal propagation.

[0076] S206: Determine a distance threshold according to the maximum value of the first distance and the second distance.

[0077] It's understandable that in tunnel scenarios for rail wireless communications, signal propagation characteristics will change depending on the distance between the train and the base station. When the train is close to the base station, the signal is less constrained by the tunnel boundary and more closely resembles free-space propagation characteristics. The free-space propagation model can be used to analyze the relationship between signal loss and propagation distance. As distance increases, the signal reflects and diffracts multiple times within the tunnel, and its propagation characteristics gradually conform to the laws of waveguide propagation. The first and second distances quantify the extent to which the signal is affected by the tunnel structure in terms of tunnel height and width, respectively. The maximum of these two is used to determine the distance threshold because the restriction of signal propagation in the tunnel depends on stricter constraints in the height and width directions. When the distance between the train and the base station is less than this distance threshold, signal propagation is more consistent with the free-space propagation model. When the distance exceeds the threshold, the waveguide propagation characteristics become more prominent, making the waveguide propagation model more suitable.

[0078] In one embodiment, determining the propagation area where the target train is located based on the position information and the distance threshold includes:

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

[0080] Otherwise, the propagation area is determined to be the second propagation area. The signal propagation model corresponding to the second propagation area includes: , It is the signal propagation distance of the target base station when the propagation area is the second propagation area, and the unit is meter.

[0081] In rail wireless communication systems, signal propagation characteristics vary depending on the distance between the train and the base station, as well as the surrounding environment (such as tunnel structures). The distance threshold is set based on a comprehensive consideration of the impact 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, signal propagation is less constrained by the tunnel and other environmental factors, more similar to propagation in relatively open space. This region is identified as the first propagation zone, and the corresponding signal propagation model applies. Conversely, when the distance between the target train and the target base station is less than or equal to the distance threshold, signal propagation is significantly affected by the tunnel and other environmental factors, such as multiple reflections and refractions on structures like tunnel walls. This region is identified as the second propagation zone, and a different signal propagation model is employed. This model, which addresses the significant environmental constraints on signal propagation in this region, quantifies the relationship between frequency and distance and propagation loss differently, using specific coefficients and constants to more accurately describe signal propagation loss in this environment.

[0082] In one embodiment, the ideal signal strength corresponding to the target shard is determined by referring to Figure 3 , including steps S302 to S308.

[0083] S302: Determine a first propagation loss and a second propagation loss corresponding to two ends of a target slice according to a target signal propagation model.

[0084] It can be understood that the first propagation loss is 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) and the target base station, the signal frequency, and the target signal propagation model. It reflects the energy loss of the signal as it propagates from the target base station to that end of the target slice. The second propagation loss is calculated based on the distance between the other end of the target slice (i.e., the ending end or the end farthest from the target base station) and the target base station, the signal frequency, and the target signal propagation model. It also reflects the energy loss of the signal as it propagates to that location. The propagation losses at both ends of the target slice are determined to determine the boundary conditions of the signal loss within that sub-area. Since the signal propagation characteristics within the target slice are relatively consistent, but there is still some gradual variation, the propagation losses at both ends represent the two endpoints of this gradual variation. These two loss values are subsequently used to calculate the ideal signal strength within the target slice. They serve as the basic data for the calculation process and provide key information for accurately assessing the signal strength within the target slice.

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

[0086] It can be understood that the preset signal strength is a pre-set signal strength value for the target base station's transmitted signal. It represents the energy level of the base station's transmitted signal under ideal conditions, typically expressed in units such as dBm. This value serves as a benchmark parameter for subsequent calculations of ideal signal strengths at different locations within the target slice and can be determined based on the base station's equipment parameters 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. It represents the signal strength that a train should receive at one end of the target slice under ideal conditions (no interference, no additional signal fading, etc.). It is a theoretical quantification of the signal strength at that end of the target slice and is used for comparison and analysis with the actual received signal strength. In rail wireless communications, after a signal is transmitted from a base station, it experiences losses during propagation due to various factors (such as path attenuation, reflection, and refraction), known as propagation losses. The preset signal strength is the initial strength of the base station's transmitted signal, and the first propagation loss reflects the energy loss of the signal as it propagates to the target slice. According to basic principles of signal propagation, the ideal signal strength at the receiving end is equal to the preset signal strength at the transmitting end minus the propagation losses. Therefore, the first ideal signal strength can be obtained by subtracting the first propagation loss from the preset signal strength. This calculation result is the theoretical value of the signal strength at one end of the target fragment, which provides a reference standard for subsequent evaluation of whether the actual signal strength at that location is normal.

[0087] S306: Obtain a 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 the preset signal strength. It represents the signal strength value that the train at the other end of the target slice should receive under ideal conditions (no interference, no additional signal fading, etc.). It corresponds to the first ideal signal strength and together they describe the ideal signal strength conditions at both ends of the target slice. This is used to subsequently calculate the ideal signal strength of the entire target slice and assess the rationality of the signal strength within that area. Similar to the principle used to calculate the first ideal signal strength, the second propagation loss is incurred when the signal is transmitted from the base station and propagates to the other end of the target slice. The preset signal strength is the initial energy level of the signal transmitted by the base station. Based on 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, the second ideal signal strength can be obtained by subtracting the second propagation loss from the preset signal strength.

[0089] S308: Obtain an ideal signal strength according to an average 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 strength at both ends of the target slice under ideal conditions. Since the signal propagation characteristics within the target slice are relatively consistent, the signal strength has a certain gradual trend in this area, rather than showing a sudden change at both ends. By calculating the average of the ideal signal strengths at both ends, a value that can comprehensively reflect the overall signal strength situation in the target slice can be obtained, namely the ideal signal strength. This ideal signal strength will be used as a standard value for subsequent comparison with the actual signal strength received by the target train in the target slice, so as to determine whether the signal is normal and whether there are problems such as signal fading and interference.

[0091] In one embodiment, an antenna of a target base station is equipped 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. The cause of the target base station alarm is determined based on a difference between the reflected power fed back by the excitation tag in response to the excitation signal and a set power.

[0092] As you can understand, an excitation tag is a special device installed on the target base station antenna. It receives the excitation signal from the target base station and, based on the received signal, provides feedback on the corresponding reflected power. The excitation tag typically integrates specialized circuits or chips for signal reception, processing, and reflection. Its characteristics are crucial for accurately detecting base station antenna issues. Typically, it is a tag based on RFID (Radio Frequency Identification) technology. When an alarm is issued for a target base station, it indicates that the base station may be experiencing an abnormality in its operating state, such as abnormal signal strength, degraded communication quality, or a loose antenna. The target base station is then instructed to send an excitation signal to the excitation tag to obtain detailed information about the base station antenna. After receiving the excitation signal, the excitation tag provides feedback on the corresponding reflected power. The set power is a pre-set reference power value used for comparison with the reflected power reported by the excitation tag. It is determined by the average reflected power value when the antenna is operating normally and using the same excitation signal. The reflected power level is related to the target base station's antenna status. The difference between the reflected power and the set power can be used to determine whether the target base station alarm is related to the antenna.

[0093] In one embodiment, the cause of the target base station alarm is determined based on the difference between the reflected power fed back by the excitation tag in response to the excitation signal and the set power. This includes: if the difference between the reflected power and the set power is greater than an abnormality threshold, the cause of the alarm is determined to be an antenna abnormality. Otherwise, control plane information of the target base station is obtained and the cause of the alarm is determined based on the control plane information.

[0094] It can be understood that the set power is a pre-set reference power value, representing the expected reflected power value under ideal conditions—that is, when the antenna is operating normally and the excitation tag is responding normally. The abnormality 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 exceeds this threshold, it indicates a possible antenna-related abnormality. This threshold is typically set based on extensive experimental test data and statistical analysis of the reflected power fluctuation range when the antenna is operating normally. The excitation signal is an RF signal with a specific frequency, power, and modulation scheme transmitted by the target base station through its antenna. Its function is to activate the excitation tag, enabling it to feedback reflected power, providing data for determining antenna status. After receiving the excitation signal, the excitation tag gains energy and becomes activated. It then uses its own circuitry to transmit the stored information as a response signal back along the path from which the excitation signal was transmitted. The reflected power corresponding to the response signal can be used to determine whether there is an antenna problem.

[0095] If the difference between the reflected power and the set power is greater than the abnormality threshold, this indicates that the antenna's transmit and receive performance may have changed. Possible causes include physical damage to the antenna (such as a deformed vibrator, a broken feeder, or a loose antenna connector) or drift in the antenna's electrical parameters (such as gain drop or pattern distortion). These conditions can cause anomalies in the transmission and reflection of the excitation signal, causing the reflected power to deviate from the set value. If the difference between the reflected power and the set power is less than the abnormality threshold, there may be no obvious issues with the antenna's RF performance. In this case, the alarm may be caused by other components of the base station, such as a control plane software malfunction, parameter configuration errors, or communication issues with other devices. Therefore, further control plane information of the target base station should be obtained for troubleshooting. Based on the incentive tags and other equipment configured on each base station, a base station interface detection system can be formed. In conjunction with the train's onboard equipment and monitoring center, a large-scale traffic active perception system is formed by the integration of multiple systems. The entire complex vehicle-ground wireless system is divided into different perception sub-units. Through integration, it can accurately determine the fault location, fault type, and fault cause of the vehicle-ground wireless signal within a driving range of dozens of kilometers. It also uses real-time wireless channel models and dynamically adjusts the system to achieve the purpose of more accurate wireless signal perception.

[0096] In one embodiment, determining the cause of the alarm based on control plane information includes: if the control plane information carries transmit underpower information, determining the cause of the alarm as base station underpower. Otherwise, obtaining data plane information of the target base station and determining network quality based on the data plane information and control plane information. If the network quality is below a quality threshold, determining the cause of the alarm as intranet latency.

[0097] It can be understood that in rail wireless communication systems, the control plane of a target base station contains a collection of various data parameters, including base station configuration parameters (such as transmit power settings, operating frequency bands, and modulation modes), equipment operating status parameters (such as operating voltage, temperature, and operating time), signaling interaction information (control command transmission between the core network and neighboring base stations), and fault diagnostic codes. This information is primarily used for base station configuration management, status monitoring, and signaling interaction control, and is critical for understanding base station operating status and control logic. Transmit underpower information is a specific data identifier within the control plane information that indicates that the base station's actual transmit power is below the preset normal operating power range. Transmit underpower information may be generated when a base station's power amplifier fails, the power supply system is abnormal, or the transmit parameter configuration is incorrect. It is an important indicator for determining whether a base station is experiencing power shortages. Base station underpower refers to a faulty state in which the target base station's transmit power fails to reach the required level for normal operation during signal transmission. This condition can result in reduced signal coverage, reduced communication quality, and even communication interruption, impacting normal communication between rail trains and the base station. Data plane information corresponds to control plane information and contains various service data and related parameters transmitted and processed by the target base station's data plane. This includes user data traffic statistics (such as data volume sent, received, and packet loss rate), data transmission rate, link bit error rate, and data buffer status. Data plane information directly reflects the base station's performance during actual service transmission and is an important indicator for evaluating network data transmission quality. Network quality is a comprehensive quantitative indicator that measures the performance of the rail wireless communication network. It is calculated by analyzing and calculating multiple key parameters in control and data plane information. Network quality assessment involves multiple dimensions, such as signal strength, data transmission rate, packet loss rate, and latency, to determine whether the network can meet normal communication requirements. The quality threshold is a pre-set network quality standard value that serves as the critical value for judging network quality. When the calculated network quality indicator falls below the threshold, it indicates that the network performance cannot meet service requirements and may be experiencing a fault or abnormality. Otherwise, the network is considered to be operating normally. Intranet latency is the time delay experienced by data transmitted from the base station transmitter to the receiver within the rail wireless communication system's internal network. Excessive intranet latency can lead to untimely data transmission, affecting the real-time and reliability of train control instructions. It is one of the common reasons for the decline in network communication quality and may be caused by factors such as network congestion, routing configuration errors, and insufficient equipment processing capabilities.

[0098] In rail wireless communication systems, comprehensive analysis of control and data plane information allows for systematic investigation of the cause of target base station alarms. First, control plane information directly reflects the base station's configuration and operational control status. When control plane information contains underpower transmission, it indicates a problem with the base station's power transmission process, directly identifying underpower as the cause of the alarm. Because transmit power is a key factor affecting signal coverage and communication quality, underpower transmission can directly lead to communication anomalies. If underpower transmission information is not found in the control plane information, further analysis of the data plane information is necessary. Data plane information records the actual transmission of service data and, when combined with control plane information, provides a more comprehensive assessment of network quality. Network quality indicators are calculated by comprehensively analyzing parameters such as data flow, transmission rate, and bit error rate in data plane information, as well as signaling interaction status in control plane information. Quality thresholds serve as a metric to determine whether network quality meets standards. When network quality falls below the threshold, it indicates anomalies affecting communication. Intranet latency is a common cause of degraded network quality. Because rail wireless communication requires extremely high real-time data transmission, excessive intranet latency can severely impact the transmission efficiency and accuracy of train control commands. Therefore, after eliminating base station underpower as a cause, if network quality fails to meet standards, the alarm can be determined to be caused by intranet latency. The entire process utilizes a layered, progressively more in-depth analysis approach, starting with a preliminary assessment based on control-plane information, followed by in-depth analysis based on data-plane information. This allows for precise identification of the cause of the target base station alarm, ensuring the accuracy and efficiency of rail wireless communication system troubleshooting and providing a reliable basis for subsequent targeted repair measures.

[0099] The present application provides a global wireless signal sensing device, comprising 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 obtain wireless signal strength and location information fed back by a target train. The propagation area determination module is used to determine the propagation area of the target train based on the location information and a distance threshold. The distance threshold is calculated based on the size parameters of the target tunnel. The propagation model determination module is used to select a corresponding signal propagation model based on 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. The allocation module is used to segment the target signal propagation model based on the target signal propagation model and a preset propagation loss interval to obtain multiple continuous wireless model slices. A wireless model slice is an area where the propagation loss difference between the nearest and farthest ends from the target base station is equal to 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 based on the location information and determine the ideal signal strength corresponding to the target slice. The alarm module is used to issue an alarm to the target base station based on the difference between the wireless signal strength and the ideal signal strength.

[0100] For the specific limitations of the wireless environment sensing device, please refer to the limitations of the global wireless signal sensing method above, which will not be repeated here. The various modules in the above-mentioned wireless environment sensing device can be implemented in whole or in part by software, hardware and their combination. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules. It should be noted that the division of modules in the embodiment of the present application is schematic and is only a logical function division. There may be other division methods in actual implementation.

[0101] The present application provides a computer device comprising one or more processors and a memory, wherein the memory stores computer-readable instructions. 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 performed.

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

[0105] Finally, it should be noted that, in this document, relational terms such as first and second, etc., are used only 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 terms "comprises," "comprising," or any other variations thereof are 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 explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article, or device comprising the element.

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

[0107] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present application. Various modifications to these embodiments will be readily apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application is not limited to the embodiments shown herein, but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A global wireless signal sensing method, characterized in that: include: Obtain wireless signal strength and location information fed back by the target train; Determine the propagation area where the target train is located according to the position information and the distance threshold; The distance threshold is calculated based on 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 the propagation loss and the signal propagation distance corresponding to the target base station; A plurality of continuous wireless model slices are obtained according to the target signal propagation model and the preset propagation loss interval segmentation; 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 a target slice where the target train is located from the wireless model slices according to the location information, and determining an ideal signal strength corresponding to the target slice; An alarm is issued to the target base station according to the difference between the wireless signal strength and the ideal signal strength.

2. The global 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 a width of the target tunnel and a signal wavelength corresponding to the target base station; The distance threshold is determined according to a maximum value of the first distance and the second distance.

3. The global wireless signal sensing method according to claim 1, wherein: The determining the propagation area where the target train is located according to the position information and the distance threshold comprises: 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, the propagation area is determined to be a first propagation area; and the signal propagation model corresponding to the first propagation area includes: ,in, is the propagation loss, is the signal frequency of the target base station, is the signal propagation distance of the target base station when the propagation area is the first propagation area, and the unit is kilometers; Otherwise, the propagation area is determined to be a second propagation area; the signal propagation model corresponding to the second propagation area includes: , is the signal propagation distance of the target base station when the propagation area is the second propagation area, and the unit is meter.

4. The global wireless signal sensing method according to claim 1, wherein: Determining the ideal signal strength corresponding to the target fragment includes: Determine a first propagation loss and a second propagation loss corresponding to two ends of the target slice respectively according to the target signal propagation model; Obtaining a first ideal signal strength according to the first propagation loss and a 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; The ideal signal strength is obtained according to an average value of the first ideal signal strength and the second ideal signal strength.

5. The global wireless signal sensing method according to claim 1, wherein: 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 given to the target base station, controlling the target base station to send an excitation signal to the excitation tag; The alarm cause of the target base station is determined according to a difference between the reflected power fed back by the excitation tag in response to the excitation signal and a set power.

6. The global wireless signal sensing method according to claim 5, wherein: The determining the alarm cause 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 abnormality threshold, determining that the alarm cause is an antenna abnormality; Otherwise, obtain control plane information of the target base station, and determine the alarm cause according to the control plane information.

7. The global wireless signal sensing method according to claim 6, wherein: The determining the alarm cause according to the control plane information includes: If the control plane information carries transmit underpower information, determining that the alarm cause is base station underpower; Otherwise, obtaining data plane information of the target base station, and determining network quality according to the data plane information and the control plane information; If the network quality is lower than the quality threshold, it is determined that the alarm cause is intranet delay.

8. A global wireless signal sensing device, characterized in that: include: A data acquisition module is used to obtain the wireless signal strength and location information fed back by the target train; a propagation area determination module, configured to determine the propagation area where the target train is located based on the position information and a distance threshold value; the distance threshold value is calculated based on the size parameters of the 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 the target base station; an allocation module, configured to obtain a plurality of continuous wireless model slices according to the target signal propagation model and a 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; an ideal signal strength determination module, configured to determine the target slice where the target train is located from the wireless model slice according to the location information, and determine the ideal signal strength corresponding to the target slice; An alarm module is configured to issue an alarm to the target base station according to a difference between the wireless signal strength and the ideal signal strength.

9. A computer device, characterized in that: It includes one or more processors and a memory, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the one or more processors, the steps of the global wireless signal perception method described in any one of claims 1 to 7 are executed.

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

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