Railway signal data simulation method, device, equipment, storage medium and product

Abstract

The invention provides a railway signal data simulation method and device, equipment, a storage medium and a product, and relates to the technical field of data processing, and the method comprises the steps: generating simulation configuration data of a simulation mobile base station and simulation sampling data of a sampling point; determining a first target simulation mobile base station and a second target simulation mobile base station matched with the sampling points; based on the simulation sampling data of the sampling point, the simulation configuration data of the first target simulation mobile base station and the simulation configuration data of the second target simulation mobile base station, applying to a target signal loss coefficient simulation model to obtain a signal intensity simulation value and a signal carrier-to-interference ratio simulation value of the sampling point; and generating railway signal simulation data by adopting a predefined railway signal data format based on the simulation sampling data of the sampling point, the simulation configuration data of the first target simulation mobile base station, and the signal strength simulation value and the signal carrier-to-interference ratio simulation value of the sampling point. The invention provides a rich and reliable simulation data set.

Description

Technical Field

[0001] The present invention relates to the field of data technology, and in particular to a railway signal data simulation method, device, equipment, storage medium and product. Background Art

[0002] With the rapid expansion and development of China's railway network, the mileage has increased dramatically, the coverage area has been wide, the frequency of train operation has increased, and the speed has increased, which has made the task of monitoring railway communication wireless signals extremely heavy. Faced with the huge amount of data captured by monitoring equipment, it is particularly important to adopt an automated, high-precision, and high-efficiency abnormal railway signal recognition and classification technology based on deep learning.

[0003] Before deep learning models are put into practical use, it is crucial to scientifically evaluate their accuracy in identifying and classifying abnormal railway signals. Therefore, a large amount of historical railway signal data is needed as a test set to evaluate model performance. However, the current accumulation of historical data in the field of railway communication wireless signals is still insufficient, which to some extent restricts the effective evaluation and optimization of deep learning models. Summary of the invention

[0004] The present invention provides a railway signal data simulation method, device, equipment, storage medium and product, which are used to solve the defect that the historical data accumulation in the field of railway communication wireless signals in the prior art is still insufficient.

[0005] The present invention provides a railway signal data simulation method, the method comprising: Generate simulation configuration data of the simulated mobile base station in the simulation area and simulation sampling data of sampling points on the simulation train track; Determine a first target simulated mobile base station and a second target simulated mobile base station that match the sampling point, wherein the first target simulated mobile base station is a simulated mobile base station that is closest to the sampling point, and the second target simulated mobile base station is a simulated mobile base station that has signal interference with the first target simulated mobile base station; Based on the simulation sampling data of the sampling point, the simulation configuration data of the first target simulated mobile base station and the simulation configuration data of the second target simulated mobile base station, applying the target signal loss coefficient simulation model matched by the sampling point, obtaining the signal strength simulation value and the signal carrier-to-interference ratio simulation value of the sampling point; Based on the simulated sampling data of the sampling points, the simulated configuration data of the first target simulated mobile base station, the signal strength simulation value and the signal carrier-to-interference ratio simulation value of the sampling points, a predefined railway signal data format is used to generate railway signal simulation data.

[0006] According to a railway signal data simulation method provided by the present invention, the signal strength simulation value and the signal carrier-to-interference ratio simulation value of the sampling point are obtained by the following method: Based on the preset receiving end antenna height, the position data in the simulation sampling data of the sampling point, the transmitting end antenna height in the simulation configuration data of the first target simulated mobile base station, the transmission power of the first frequency point and the base station position data, the target signal loss coefficient simulation model matched by the sampling point is applied to obtain the first simulated signal loss coefficient; Based on the preset receiving end antenna height, the position data in the simulated sampling data of the sampling point, the transmitting end antenna height in the simulation configuration data of the second target simulated mobile base station, the transmission power of the second frequency point and the base station position data, the target signal loss coefficient simulation model matched by the sampling point is applied to obtain the second simulated signal loss coefficient, wherein the second frequency point is a frequency point with co-channel interference and / or adjacent frequency interference with the first frequency point; Obtaining a signal strength simulation value of the sampling point based on the first simulation signal loss coefficient and the base station transmission power in the simulation configuration data of the first target simulated mobile base station; Based on the second simulated signal loss coefficient and the base station transmit power in the simulation configuration data of the second target simulated mobile base station, a signal interference strength simulation value of the sampling point is obtained, where the signal interference strength simulation value of the sampling point includes a co-channel interference strength simulation value and / or an adjacent channel interference strength simulation value; Based on the signal strength simulation value of the sampling point and the signal interference strength simulation value of the sampling point, a signal carrier-to-interference ratio simulation value at the sampling point is obtained.

[0007] According to a railway signal data simulation method provided by the present invention, the target signal loss coefficient simulation model matched by the sampling points is obtained by the following method: Based on the location data in the simulation sampling data of the sampling point and the area range of each type of area in the simulation area, the target signal loss coefficient simulation model matching the sampling point is determined, wherein the simulation area includes at least one type of area among large cities, small and medium-sized cities, suburbs and open areas, and different types of areas correspond to different target signal loss coefficient simulation models.

[0008] According to a railway signal data simulation method provided by the present invention, the method further includes: Based on the Okumura-Hata model, a simulation model of initial signal loss coefficient matching various types of regions is constructed; Collect measured railway wireless signal data in various types of areas; For each type of area-matching initial signal loss coefficient simulation model, based on the measured railway wireless signal data in the type of area, the parameters in the initial signal loss coefficient simulation model are adjusted to obtain the target signal loss coefficient simulation model matching the type of area.

[0009] According to a railway signal data simulation method provided by the present invention, the method further includes: For each type of area matching the target signal loss coefficient simulation model, obtain the signal strength measured value and communication transmission parameters of the measured points in the type of area, the communication transmission parameters of the measured points include the signal transmission distance, signal frequency, transmitting end antenna height, receiving end antenna height and base station transmission power of the measured points; Based on the communication transmission parameters of the measured point, the target signal loss coefficient simulation model is applied to obtain a signal strength simulation value of the measured point; Based on the measured signal strength value and the simulated signal strength value of the measured point in the type of area, the parameters in the target signal loss coefficient simulation model matching the type of area are adjusted.

[0010] According to a railway signal data simulation method provided by the present invention, the method further includes: Collect configuration data of real mobile base stations in the simulation area; The simulation configuration data of the simulated mobile base station is modified based on the configuration data of the real mobile base station.

[0011] The present invention also provides a railway signal data simulation device, the device comprising: A first railway signal data simulation module is used to generate simulation configuration data of a simulated mobile base station in a simulation area and simulation sampling data of sampling points on a simulated train track; A second railway signal data simulation module is used to determine a first target simulated mobile base station and a second target simulated mobile base station that match the sampling point, wherein the first target simulated mobile base station is a simulated mobile base station that is closest to the sampling point, and the second target simulated mobile base station is a simulated mobile base station that has signal interference with the first target simulated mobile base station; A third railway signal data simulation module is used to obtain a signal strength simulation value and a signal carrier-to-interference ratio simulation value of the sampling point by applying a target signal loss coefficient simulation model matched by the sampling point based on the simulation sampling data of the sampling point, the simulation configuration data of the first target simulation mobile base station and the simulation configuration data of the second target simulation mobile base station; The fourth railway signal data simulation module is used to generate railway signal simulation data based on the simulated sampling data of the sampling points, the simulation configuration data of the first target simulated mobile base station, the signal strength simulation value and the signal carrier-to-interference ratio simulation value of the sampling points, using a predefined railway signal data format.

[0012] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, any of the above-mentioned railway signal data simulation methods is implemented.

[0013] The present invention also provides a non-transitory computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the railway signal data simulation method as described in any one of the above is implemented.

[0014] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements any of the above-mentioned railway signal data simulation methods.

[0015] The railway signal data simulation method, device, equipment, storage medium and product provided by the present invention ensure the pertinence and accuracy of the simulation data by simulating the simulation configuration data of the simulated mobile base station in the simulation area and the simulation sampling data of the sampling points on the simulated train track. And determine the first target simulated mobile base station and the second target simulated mobile base station with signal interference at each sampling point. On this basis, apply the target signal loss coefficient simulation model to obtain the signal strength simulation value and signal carrier-to-noise ratio simulation value of the sampling point, and realize a detailed simulation of the railway signal environment. Finally, according to the simulation sampling data, the simulation configuration data of the first target simulated mobile base station, and the signal strength simulation value and signal carrier-to-noise ratio simulation value obtained by simulation, the railway signal simulation data is generated according to the predefined railway signal data format, which provides a rich and reliable simulation data set for the performance evaluation of the deep learning model in the recognition and classification of abnormal railway signals. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the present invention or 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 some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 It is a schematic diagram of the flow of the railway signal data simulation method provided by the present invention; Figure 2 It is a scene schematic diagram of the railway signal data simulation method provided by the present invention; Figure 3 It is a structural schematic diagram of the railway signal data simulation device provided by the present invention; Figure 4 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] Figure 1 is a flow chart of a railway signal data simulation method provided by an embodiment of the present invention, such as Figure 1 As shown, the method includes: Step 110, generating simulation configuration data of the simulated mobile base station in the simulation area and simulation sampling data of sampling points on the simulation train track; In this embodiment, a train passing area can be defined as a simulation area within the actual geographical area. For example, the simulation area is defined as a rectangle, the longitude value range of the rectangle is [73, 135], and the latitude value range is [22, 53]. The train's running track can fall at any position within the rectangular area.

[0020] After determining the simulation area, several simulated mobile base stations can be randomly generated in the simulation area with reference to the actual base station layout, transmission power, antenna direction and other parameters. Here, when randomly generating several simulated mobile base stations in the simulation area, the distance between the simulated mobile base stations needs to be considered, such as the distance should be kept between 5km and 25km, to ensure that the signals between the base stations are not too dense or sparse, thereby simulating a more realistic signal environment.

[0021] Furthermore, for each generated simulated mobile base station, it is also necessary to generate simulation configuration data therefor, including but not limited to parameters such as the base station's transmission power, antenna direction, and frequency allocation.

[0022] In one example, wireless communication equipment (such as onboard radio) installed on a train receives and transmits signals through antennas. These signals are transmitted in the GSM-R (Global System for Mobile Communications – Railway) wireless network. The GSM-R wireless network uses 24 frequency points. The relationship between the frequency points and the downlink frequency is shown in Table 1 below: Table 1 The simulation configuration data of each simulated mobile base station can be generated using the simulation data generation strategy in Table 2 below: Table 2 Based on the simulation data generation strategy defined in the above table, simulation configuration data of a number of simulated mobile base stations are randomly generated in the simulation area.

[0023] Furthermore, a series of sampling points are set on the simulated train track, and corresponding simulation sampling data, such as timestamp, location information (latitude and longitude), train speed, etc., are generated for each sampling point for subsequent signal reception and interference analysis.

[0024] In one example, a train is defined to pass through a simulation area at a certain speed to form a train running track, a series of sampling points are generated on the train running track at fixed time intervals, and according to a preset data simulation strategy, corresponding simulation sampling data is generated for each sampling point, such as timestamp, location information (latitude and longitude or coordinate system), train speed, etc.

[0025] It should be noted here that the data format of the railway GSM-R wireless signal is divided into two parts: the data header and the data block.

[0026] In one example, the data of each field of the data header may be generated using the simulation data generation strategy in Table 3 below: Table 3 The data of each field in the data block can be generated using the simulation data generation strategy in Table 4 below: Table 4 Step 120, determining a first target simulated mobile base station and a second target simulated mobile base station that match the sampling point, wherein the first target simulated mobile base station is a simulated mobile base station that is closest to the sampling point, and the second target simulated mobile base station is a simulated mobile base station that has signal interference with the first target simulated mobile base station; For each sampling point, according to the principle of shortest distance, the simulated mobile base station closest to the sampling point is determined as the first target base station. This base station is usually the base station with the largest signal strength received by the sampling point.

[0027] It should be noted that in wireless communication systems, there are various types of communication interference, such as co-channel interference and adjacent-channel interference. Co-channel interference refers to the interference of all unwanted signals with the same frequency as the useful signal that fall within the receiver passband, and adjacent-channel interference refers to the interference caused by frequency signals adjacent to the used frequency. Figure 2 As shown in the figure, assuming that the user is in the service area of ​​base station C and uses frequency 1000, he will be subject to co-channel interference from frequency 1000 of base station A and adjacent frequency interference from frequency 1001 of base stations A / B / D.

[0028] In one example, here, based on the latitude and longitude data and frequency set of each simulated mobile base station in the simulation configuration data of the simulated mobile base station in the above simulation area, the simulated mobile base station with co-frequency interference and adjacent-frequency interference with the frequency of the first target simulated mobile base station can be determined as the second target simulated mobile base station.

[0029] Step 130, based on the simulated sampling data of the sampling point, the simulation configuration data of the first target simulated mobile base station and the simulation configuration data of the second target simulated mobile base station, a target signal loss coefficient simulation model matched by the sampling point is applied to obtain a signal strength simulation value and a signal carrier-to-interference ratio simulation value of the sampling point; Here, the target signal loss coefficient simulation model is a model used to calculate the loss of the signal during the propagation process. The signal strength simulation value and signal carrier-to-interference ratio simulation value of the sampling point can be obtained by combining the target signal loss coefficient simulation model matched with the sampling point through the simulation sampling data of the sampling point (such as longitude and latitude), the simulation configuration data of the first target simulation mobile base station (such as longitude and latitude, base station transmission power, transmission end antenna height, frequency), and the simulation configuration data of the second target simulation mobile base station (such as longitude and latitude, base station transmission power, transmission end antenna height, frequency).

[0030] Step 140, based on the simulated sampling data of the sampling points, the simulated configuration data of the first target simulated mobile base station, the signal strength simulation value and the signal carrier-to-interference ratio simulation value of the sampling points, a predefined railway signal data format is used to generate railway signal simulation data.

[0031] In this embodiment, the railway signal data format is divided into two parts: a data header and a data block. The format of the data header is as shown in Table 5 below: Table 5 Each data block is divided into two parts: data block header and channel data. The data block header contains fixed fields, and the channel data contains data of 24 channels from channel 1 to channel 23. The data format definition of the data block is shown in Table 6 below: Table 6 Each channel data contains several fields. The format of channel data is defined as shown in Table 7 below: Table 7 In this embodiment, the signal strength simulation value and the signal-to-interference ratio simulation value calculated above are combined with the simulation sampling data of the simulation sampling point (such as timestamp, location information, etc.) and the simulation configuration data of the first target simulation mobile base station (such as wireless signal national identification code, mobile device network code, etc.), and packaged according to the above-mentioned predefined railway signal data format to generate railway signal simulation data that can be used for subsequent analysis, testing or model training.

[0032] The railway signal data simulation method proposed in this embodiment ensures the pertinence and accuracy of the simulation data by simulating the simulation configuration data of the simulated mobile base station in the simulation area and the simulation sampling data of the sampling points on the simulated train track. The first target simulated mobile base station and the second target simulated mobile base station with signal interference are determined for each sampling point. On this basis, the target signal loss coefficient simulation model is applied to obtain the signal strength simulation value and the signal-to-noise ratio simulation value of the sampling point, thereby realizing a detailed simulation of the railway signal environment. Finally, according to the simulation sampling data, the simulation configuration data of the first target simulated mobile base station, and the signal strength simulation value and the signal-to-noise ratio simulation value obtained by simulation, the railway signal simulation data is generated according to the predefined railway signal data format, providing a rich and reliable simulation data set for the performance evaluation of the deep learning model in the recognition and classification of abnormal railway signals.

[0033] It should be noted that each implementation method of the present application can be freely combined, the order can be changed, or it can be executed separately, and does not need to rely on or depend on a fixed execution order.

[0034] In some embodiments, the signal strength simulation value and the signal carrier-to-interference ratio simulation value of the sampling point are obtained by: Based on the preset receiving end antenna height, the position data in the simulation sampling data of the sampling point, the transmitting end antenna height in the simulation configuration data of the first target simulated mobile base station, the transmission power of the first frequency point and the base station position data, the target signal loss coefficient simulation model matched by the sampling point is applied to obtain the first simulated signal loss coefficient; Based on the preset receiving end antenna height, the position data in the simulated sampling data of the sampling point, the transmitting end antenna height in the simulation configuration data of the second target simulated mobile base station, the transmission power of the second frequency point and the base station position data, the target signal loss coefficient simulation model matched by the sampling point is applied to obtain the second simulated signal loss coefficient, wherein the second frequency point is a frequency point with co-channel interference and / or adjacent frequency interference with the first frequency point; Obtaining a signal strength simulation value of the sampling point based on the first simulation signal loss coefficient and the base station transmission power in the simulation configuration data of the first target simulated mobile base station; Based on the second simulated signal loss coefficient and the base station transmit power in the simulation configuration data of the second target simulated mobile base station, a signal interference strength simulation value of the sampling point is obtained, where the signal interference strength simulation value of the sampling point includes a co-channel interference strength simulation value and / or an adjacent channel interference strength simulation value; Based on the signal strength simulation value of the sampling point and the signal interference strength simulation value of the sampling point, a signal carrier-to-interference ratio simulation value at the sampling point is obtained.

[0035] Here, the signal loss coefficient simulation model of sampling point matching is a model related to the signal transmission distance, signal frequency, transmitter antenna height and receiver antenna height.

[0036] The preset receiving end antenna height is the height of the antenna of the simulated receiving end (for example, a receiver on a train), which is usually a fixed value, such as 2m.

[0037] In this embodiment, the signal transmission distance can be calculated based on the location data of the sampling point (such as longitude and latitude) and the base station location data of the first target simulated mobile base station (such as longitude and latitude). Then, the transmitting antenna height, the transmission power of the first frequency point (i.e., the signal frequency) and the calculated signal transmission distance in the simulation configuration data of the first target simulated mobile base station are input into the signal loss coefficient simulation model matched with the sampling point to obtain the first simulated signal loss coefficient.

[0038] Similarly, the signal transmission distance can be calculated based on the location data of the sampling point (such as longitude and latitude) and the base station location data of the second target simulated mobile base station (such as longitude and latitude). Then, the transmitting antenna height, the transmission power of the second frequency point (i.e., the signal frequency) and the calculated signal transmission distance in the simulation configuration data of the second target simulated mobile base station are input into the signal loss coefficient simulation model matched with the sampling point to obtain the second simulated signal loss coefficient.

[0039] Afterwards, the first simulated signal loss coefficient and the first target simulated mobile base station transmission power are used to calculate the signal strength simulation value of the sampling point through the formula "RSSI = base station transmission power × signal loss coefficient".

[0040] Similarly, the second simulated signal loss coefficient and the second target simulated mobile base station transmit power are used to calculate the signal interference strength simulation value of the sampling point by the formula "RSSI = base station transmit power × signal loss coefficient". Here, when the second frequency point is the same-frequency interference frequency point, the signal interference strength simulation value is the same-frequency interference strength simulation value, and when the second frequency point is the adjacent-frequency interference frequency point, the signal interference strength simulation value is the adjacent-frequency interference strength simulation value.

[0041] Finally, the formula "CI = sampling point RSSI / (same-channel interference RSSI + adjacent-channel interference RSSI)" is used to combine the signal strength simulation value of the sampling point and the signal interference strength simulation value of the sampling point to calculate the signal carrier-to-interference ratio simulation value at the sampling point.

[0042] The railway signal data simulation method proposed in this embodiment can accurately simulate the signal interference intensity simulation value and the signal carrier-to-interference ratio simulation value of the sampling point through the above method.

[0043] In some embodiments, the target signal loss coefficient simulation model for sampling point matching is obtained by: Based on the location data in the simulation sampling data of the sampling point and the area range of each type of area in the simulation area, the target signal loss coefficient simulation model matching the sampling point is determined, wherein the simulation area includes at least one type of area among large cities, small and medium-sized cities, suburbs and open areas, and different types of areas correspond to different target signal loss coefficient simulation models.

[0044] In this embodiment, the simulation area is divided into multiple types of regions, which may include large cities, small and medium-sized cities, suburbs, and open areas, etc. Each type of region has its own unique signal propagation characteristics. For example, signal propagation in a large city may be blocked by more buildings and people, while open areas may be less blocked.

[0045] In this embodiment, based on the signal transmission characteristics of each type of area, a specific target signal loss coefficient simulation model is configured for the signal transmitted in each type of area. According to the location data of the sampling point, the type of area (such as the suburbs) where it is located is determined, and the corresponding target signal loss coefficient simulation model is selected (such as the target signal loss coefficient simulation model corresponding to the suburbs in the above table). Different types of areas have different signal propagation characteristics due to factors such as building density and topography, so different target signal loss coefficient simulation models are used to accurately simulate signal loss.

[0046] In some embodiments, it also includes: Based on the Okumura-Hata model, a simulation model of initial signal loss coefficient matching various types of regions is constructed; Collect measured railway wireless signal data in various types of areas; For each type of area-matching initial signal loss coefficient simulation model, based on the measured railway wireless signal data in the type of area, the parameters in the initial signal loss coefficient simulation model are adjusted to obtain the target signal loss coefficient simulation model matching the type of area.

[0047] Here, the Okumura-Hata model uses the median path loss of field strength in a large urban area with quasi-flat terrain as a benchmark, and uses correction factors to correct for factors such as different propagation environments and terrain conditions. The Okumura-Hata model also provides corresponding correction factors for different urban types and terrain conditions, such as small and medium-sized cities, suburbs, and open areas.

[0048] In this embodiment, the Okumura-Hata model is selected as the basic model. According to the type of regions in the simulation area (such as large cities, small and medium-sized cities, suburbs, open areas, etc.), the Okumura-Hata model is adapted as necessary to construct an initial signal loss coefficient simulation model matching each type of region.

[0049] For example, for urban areas, the initial signal loss coefficient simulation model is L=A+Blg(d), for suburban areas, the initial signal loss coefficient simulation model is L=A+Blg(d)-C, and for open areas, the initial signal loss coefficient simulation model is L=A+Blg(d)-D. Among them, L represents the simulated signal loss coefficient, d represents the distance from the transmitter to the receiver, and the parameters A, B, C, and D depend on the signal frequency f and the transmitter antenna height h. b and the receiving antenna height h m .

[0050] In order to improve the accuracy of the simulation model, in this embodiment, railway wireless signal data is collected in the actual environment. These data usually include signal strength, signal quality, location information, etc. Then, the measured data collected from various types of areas are used to calibrate the parameters of the initial signal loss coefficient simulation model.

[0051] In one example, based on the measured data collected from various types of regions, the parameters A, B, C, and D are determined as follows: ; ; ; ; Among them, a(h m ) is a value related to f and h m Value and environment related functions, when the region is a large urban area, , when the area is a small or medium-sized urban area, , when it is other types of regions, .

[0052] Specifically, the target signal loss coefficient simulation model matching each type of region is shown in Table 8 below: Table 8 In some embodiments, it also includes: For each type of area matching the target signal loss coefficient simulation model, obtain the signal strength measured value and communication transmission parameters of the measured points in the type of area, the communication transmission parameters of the measured points include the signal transmission distance, signal frequency, transmitting end antenna height, receiving end antenna height and base station transmission power of the measured points; Based on the communication transmission parameters of the measured point, the target signal loss coefficient simulation model is applied to obtain a signal strength simulation value of the measured point; Based on the measured signal strength value and the simulated signal strength value of the measured point in the type of area, the parameters in the target signal loss coefficient simulation model matching the type of area are adjusted.

[0053] In this embodiment, in order to improve the accuracy of the simulated data in the simulation area, several measured points are selected in each type of area (such as large cities, small and medium-sized cities, suburbs, and open areas) for data collection.

[0054] At these measurement points, measure the actual received signal strength value. At the same time, record the communication transmission parameters related to signal transmission, including: the signal transmission distance of the measured signal, signal frequency, transmitter antenna height, receiver antenna height (such as the antenna height of a mobile phone or special test equipment), and base station transmission power.

[0055] Then, using the communication transmission parameters collected from the actual measurement points as input, the target signal loss coefficient simulation model is applied to calculate the signal strength simulation value, so as to predict the signal strength value that should be obtained under the same conditions through the simulation model.

[0056] Finally, the measured signal strength value of the measured point is compared with the simulated signal strength value obtained by the simulation model. If there is a significant difference, it is necessary to adjust the parameters in the simulation model of the target signal loss coefficient to reduce the prediction error.

[0057] The railway signal data simulation method proposed in this embodiment ensures that the target signal loss coefficient simulation model can provide simulation data that is more consistent with the actual measurement data through the above method.

[0058] In some embodiments, it also includes: Collect configuration data of real mobile base stations in the simulation area; The simulation configuration data of the simulated mobile base station is modified based on the configuration data of the real mobile base station.

[0059] In this embodiment, in order to improve the accuracy of the simulation data, the configuration data of the real mobile base station in the simulation area is further used to correct the simulation configuration data of the simulated mobile base station.

[0060] For example, identify all real mobile base stations in the simulation area, including their location, identification, and type. Collect configuration data for each base station, which may include but is not limited to: operating frequency, antenna type (omnidirectional or directional), antenna height, cell ID, coverage, neighbor relationship, frequency allocation, channel allocation, etc.

[0061] The collected real base station configuration data is compared with the simulated mobile base station configuration data to analyze the differences between the two. Based on the comparison results, the configuration parameters of the simulated mobile base station are modified to ensure that the simulation model is as close to the actual network status as possible.

[0062] Specifically, including but not limited to: Adjust the base station transmission power and frequency transmission power of the simulated mobile base station; Update antenna configuration, such as antenna height; Modify network parameters such as cell coverage, neighbor relations, and frequency allocation to match the actual network layout and planning.

[0063] Based on any of the above embodiments, the present invention further provides a railway signal data simulation device, Figure 3 Schematic diagram of the structure of the railway signal data simulation device provided by the present invention. Figure 3 As shown, the device comprises: A first railway signal data simulation module 310 is used to generate simulation configuration data of a simulated mobile base station in a simulation area and simulation sampling data of sampling points on a simulated train track; The second railway signal data simulation module 320 is used to determine a first target simulated mobile base station and a second target simulated mobile base station that match the sampling point, wherein the first target simulated mobile base station is a simulated mobile base station that is closest to the sampling point, and the second target simulated mobile base station is a simulated mobile base station that has signal interference with the first target simulated mobile base station; A third railway signal data simulation module 330 is used to obtain a signal strength simulation value and a signal carrier-to-interference ratio simulation value of the sampling point by applying a target signal loss coefficient simulation model matched to the sampling point based on the simulation sampling data of the sampling point, the simulation configuration data of the first target simulation mobile base station and the simulation configuration data of the second target simulation mobile base station; The fourth railway signal data simulation module 340 is used to generate railway signal simulation data based on the simulated sampling data of the sampling points, the simulation configuration data of the first target simulated mobile base station, the signal strength simulation value and the signal carrier-to-interference ratio simulation value of the sampling points, using a predefined railway signal data format.

[0064] The railway signal data simulation device provided by the embodiment of the present invention ensures the pertinence and accuracy of the simulation data by simulating the simulation configuration data of the simulated mobile base station in the simulation area and the simulation sampling data of the sampling points on the simulated train track. The first target simulated mobile base station and the second target simulated mobile base station with signal interference are determined for each sampling point. On this basis, the target signal loss coefficient simulation model is applied to obtain the signal strength simulation value and the signal carrier-to-noise ratio simulation value of the sampling point, thereby realizing a detailed simulation of the railway signal environment. Finally, according to the simulation sampling data, the simulation configuration data of the first target simulated mobile base station, and the signal strength simulation value and the signal carrier-to-noise ratio simulation value obtained by simulation, the railway signal simulation data is generated according to the predefined railway signal data format, providing a rich and reliable simulation data set for the performance evaluation of the deep learning model in the recognition and classification of abnormal railway signals.

[0065] The railway signal data simulation device described in this embodiment and the railway signal data simulation method provided by the present invention described above can refer to each other, and will not be described in detail here.

[0066] Figure 4 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 4 As shown, the electronic device may include: a processor 410, a communications interface 420, a memory 430 and a communication bus 440, wherein the processor 410, the communications interface 420 and the memory 430 communicate with each other through the communication bus 440. The processor 410 may call the logic instructions in the memory 430 to execute the railway signal data simulation method, which includes: Generate simulation configuration data of the simulated mobile base station in the simulation area and simulation sampling data of sampling points on the simulation train track; Determine a first target simulated mobile base station and a second target simulated mobile base station that match the sampling point, wherein the first target simulated mobile base station is a simulated mobile base station that is closest to the sampling point, and the second target simulated mobile base station is a simulated mobile base station that has signal interference with the first target simulated mobile base station; Based on the simulation sampling data of the sampling point, the simulation configuration data of the first target simulation mobile base station and the simulation configuration data of the second target simulation mobile base station, the simulation model of the target signal loss coefficient is applied to obtain the signal strength simulation value and the signal carrier-to-interference ratio simulation value of the sampling point; Based on the simulated sampling data of the sampling points, the simulated configuration data of the first target simulated mobile base station, the signal strength simulation value and the signal carrier-to-interference ratio simulation value of the sampling points, a predefined railway signal data format is used to generate railway signal simulation data.

[0067] In addition, the logic instructions in the above-mentioned memory 430 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0068] On the other hand, the present invention further provides a computer program product, the computer program product comprising a computer program, the computer program can be stored on a non-transitory computer-readable storage medium, when the computer program is executed by a processor, the computer can execute the railway signal data simulation method provided by the above methods, the method comprising: Generate simulation configuration data of the simulated mobile base station in the simulation area and simulation sampling data of sampling points on the simulation train track; Determine a first target simulated mobile base station and a second target simulated mobile base station that match the sampling point, wherein the first target simulated mobile base station is a simulated mobile base station that is closest to the sampling point, and the second target simulated mobile base station is a simulated mobile base station that has signal interference with the first target simulated mobile base station; Based on the simulation sampling data of the sampling point, the simulation configuration data of the first target simulation mobile base station and the simulation configuration data of the second target simulation mobile base station, the simulation model of the target signal loss coefficient is applied to obtain the signal strength simulation value and the signal carrier-to-interference ratio simulation value of the sampling point; Based on the simulated sampling data of the sampling points, the simulated configuration data of the first target simulated mobile base station, the signal strength simulation value and the signal carrier-to-interference ratio simulation value of the sampling points, a predefined railway signal data format is used to generate railway signal simulation data.

[0069] In another aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which is implemented when the computer program is executed by a processor to perform the railway signal data simulation method provided by the above methods, the method comprising: Generate simulation configuration data of the simulated mobile base station in the simulation area and simulation sampling data of sampling points on the simulation train track; Determine a first target simulated mobile base station and a second target simulated mobile base station that match the sampling point, wherein the first target simulated mobile base station is a simulated mobile base station that is closest to the sampling point, and the second target simulated mobile base station is a simulated mobile base station that has signal interference with the first target simulated mobile base station; Based on the simulation sampling data of the sampling point, the simulation configuration data of the first target simulation mobile base station and the simulation configuration data of the second target simulation mobile base station, the simulation model of the target signal loss coefficient is applied to obtain the signal strength simulation value and the signal carrier-to-interference ratio simulation value of the sampling point; Based on the simulated sampling data of the sampling points, the simulated configuration data of the first target simulated mobile base station, the signal strength simulation value and the signal carrier-to-interference ratio simulation value of the sampling points, a predefined railway signal data format is used to generate railway signal simulation data.

[0070] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0071] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0072] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical coding feature diagrams therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A railway signal data simulation method, characterized in that: include: Generate simulation configuration data of the simulated mobile base station in the simulation area and simulation sampling data of sampling points on the simulation train track; Determine a first target simulated mobile base station and a second target simulated mobile base station that match the sampling point, wherein the first target simulated mobile base station is a simulated mobile base station that is closest to the sampling point, and the second target simulated mobile base station is a simulated mobile base station that has signal interference with the first target simulated mobile base station; Based on the simulation sampling data of the sampling point, the simulation configuration data of the first target simulated mobile base station and the simulation configuration data of the second target simulated mobile base station, applying the target signal loss coefficient simulation model matched by the sampling point, obtaining the signal strength simulation value and the signal carrier-to-interference ratio simulation value of the sampling point; Based on the simulated sampling data of the sampling points, the simulated configuration data of the first target simulated mobile base station, the signal strength simulation value and the signal carrier-to-interference ratio simulation value of the sampling points, a predefined railway signal data format is used to generate railway signal simulation data.

2. The railway signal data simulation method according to claim 1, characterized in that: The signal strength simulation value and the signal carrier-to-interference ratio simulation value of the sampling point are obtained by: Based on the preset receiving end antenna height, the position data in the simulation sampling data of the sampling point, the transmitting end antenna height in the simulation configuration data of the first target simulated mobile base station, the transmission power of the first frequency point and the base station position data, the target signal loss coefficient simulation model matched by the sampling point is applied to obtain the first simulated signal loss coefficient; Based on the preset receiving end antenna height, the position data in the simulated sampling data of the sampling point, the transmitting end antenna height in the simulation configuration data of the second target simulated mobile base station, the transmission power of the second frequency point and the base station position data, the target signal loss coefficient simulation model matched by the sampling point is applied to obtain the second simulated signal loss coefficient, wherein the second frequency point is a frequency point with co-channel interference and / or adjacent frequency interference with the first frequency point; Obtaining a signal strength simulation value of the sampling point based on the first simulation signal loss coefficient and the base station transmission power in the simulation configuration data of the first target simulated mobile base station; Based on the second simulated signal loss coefficient and the base station transmit power in the simulation configuration data of the second target simulated mobile base station, a signal interference strength simulation value of the sampling point is obtained, where the signal interference strength simulation value of the sampling point includes a co-channel interference strength simulation value and / or an adjacent channel interference strength simulation value; Based on the signal strength simulation value of the sampling point and the signal interference strength simulation value of the sampling point, a signal carrier-to-interference ratio simulation value at the sampling point is obtained.

3. The railway signal data simulation method according to claim 1, characterized in that: The target signal loss coefficient simulation model for sampling point matching is obtained in the following way: Based on the location data in the simulation sampling data of the sampling point and the area range of each type of area in the simulation area, the target signal loss coefficient simulation model matching the sampling point is determined, wherein the simulation area includes at least one type of area among large cities, small and medium-sized cities, suburbs and open areas, and different types of areas correspond to different target signal loss coefficient simulation models.

4. The railway signal data simulation method according to claim 3, characterized in that: The method further comprises: Based on the Okumura-Hata model, a simulation model of initial signal loss coefficient matching various types of regions is constructed; Collect measured railway wireless signal data in various types of areas; For each type of area-matching initial signal loss coefficient simulation model, based on the measured railway wireless signal data in the type of area, the parameters in the initial signal loss coefficient simulation model are adjusted to obtain the target signal loss coefficient simulation model matching the type of area.

5. The railway signal data simulation method according to claim 3, characterized in that: The method further comprises: For each type of area matching the target signal loss coefficient simulation model, obtain the signal strength measured value and communication transmission parameters of the measured points in the type of area, the communication transmission parameters of the measured points include the signal transmission distance, signal frequency, transmitting end antenna height, receiving end antenna height and base station transmission power of the measured points; Based on the communication transmission parameters of the measured point, the target signal loss coefficient simulation model is applied to obtain a signal strength simulation value of the measured point; Based on the measured signal strength value and the simulated signal strength value of the measured point in the type of area, the parameters in the target signal loss coefficient simulation model matching the type of area are adjusted.

6. The railway signal data simulation method according to claim 1, characterized in that: The method further comprises: Collect configuration data of real mobile base stations in the simulation area; The simulation configuration data of the simulated mobile base station is modified based on the configuration data of the real mobile base station.

7. A railway signal data simulation device, characterized in that: include: A first railway signal data simulation module is used to generate simulation configuration data of a simulated mobile base station in a simulation area and simulation sampling data of sampling points on a simulated train track; A second railway signal data simulation module is used to determine a first target simulated mobile base station and a second target simulated mobile base station that match the sampling point, wherein the first target simulated mobile base station is a simulated mobile base station that is closest to the sampling point, and the second target simulated mobile base station is a simulated mobile base station that has signal interference with the first target simulated mobile base station; A third railway signal data simulation module is used to obtain a signal strength simulation value and a signal carrier-to-interference ratio simulation value of the sampling point by applying a target signal loss coefficient simulation model matched by the sampling point based on the simulation sampling data of the sampling point, the simulation configuration data of the first target simulation mobile base station and the simulation configuration data of the second target simulation mobile base station; The fourth railway signal data simulation module is used to generate railway signal simulation data based on the simulated sampling data of the sampling points, the simulation configuration data of the first target simulated mobile base station, the signal strength simulation value and the signal carrier-to-interference ratio simulation value of the sampling points, using a predefined railway signal data format.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the railway signal data simulation method according to any one of claims 1 to 6 is implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the railway signal data simulation method according to any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the railway signal data simulation method according to any one of claims 1 to 6 is implemented.

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