A multi-standard railway wireless signal coverage simulation calculation acceleration method and system

Abstract

The application provides a multi-mode railway wireless signal coverage simulation calculation acceleration method and system, relates to the field of railway wireless communication technology, and comprises the following steps: acquiring simulation basic data including terrain, position and device parameters; secondly, calculating the distance between a mobile station and a base station and the effective height of an antenna; then, quickly obtaining a signal propagation loss value by inquiring a preset propagation loss value table; then, dynamically determining a sector simulation calculation region according to a preset minimum receiving level threshold value and the loss value; finally, only executing coverage simulation calculation in the sector region to generate an accelerated wireless signal coverage simulation result. The application replaces complex real-time calculation by table lookup and combines dynamic region control, thereby significantly reducing redundant calculation, greatly improving simulation efficiency while ensuring accuracy.

Description

Technical Field

[0001] This invention relates to the field of railway wireless communication technology, and more specifically, to a method and system for accelerating simulation calculations of multi-standard railway wireless signal coverage. Background Technology

[0002] In the field of railway wireless communication technology, with the deepening research and application of multiple systems such as GSM-R, LTE-R, and 5G-R in railway scenarios, higher requirements are placed on the accuracy and efficiency of wireless signal coverage simulation calculations. Existing technologies typically adopt a full-area simulation method based on a general propagation model, which directly calculates the signal strength of all locations within the coverage area to achieve coverage prediction. However, this method does not fully consider the characteristics of linear railway coverage and its unique terrain and service requirements, resulting in a huge amount of computation and excessive time consumption. It is difficult to meet the urgent need for rapid simulation and scheme optimization in actual engineering while ensuring accuracy.

[0003] Therefore, there is an urgent need for a multi-standard railway wireless signal coverage simulation calculation acceleration method and system to solve the above problems. Summary of the Invention

[0004] The purpose of this invention is to provide a method and system for accelerating simulation calculations of multi-standard railway wireless signal coverage, thereby improving the aforementioned problems. To achieve the above objective, the technical solution adopted by this invention is as follows:

[0005] Firstly, this application provides a method for accelerating the simulation calculation of multi-standard railway wireless signal coverage, including:

[0006] Acquire basic simulation data for the railway, including base station ground elevation data, base station and mobile station location data, base station antenna height parameters, and railway line data from a 3D electronic map;

[0007] Based on a preset calculation formula, the basic data is combined and calculated to obtain the distance between the base station and the mobile station and the effective height of the base station antenna;

[0008] Based on the distance between the base station and the mobile station and the effective height of the base station antenna, the signal propagation loss value for the corresponding spatial location is obtained by querying a preset propagation loss value table.

[0009] Based on the preset minimum available received level threshold and the signal propagation loss value, the boundary of the simulation calculation area is dynamically controlled. By finding the critical point where the signal strength attenuates to the threshold value in the direction of the antenna main lobe, a fan-shaped simulation calculation area is obtained.

[0010] Coverage simulation calculations are performed based on the simulation calculation area. By performing calculations only within the area and ignoring all locations outside the area, accelerated wireless signal coverage simulation results are obtained.

[0011] Secondly, this application also provides a multi-standard railway wireless signal coverage simulation calculation acceleration system, including:

[0012] The acquisition unit is used to acquire the basic simulation data of the railway, which includes base station ground elevation data, base station and mobile station location data, base station antenna mounting parameters and railway line data from the three-dimensional electronic map;

[0013] The calculation unit is used to perform combined calculations on the basic data based on a preset calculation formula to obtain the distance between the base station and the mobile station and the effective height of the base station antenna;

[0014] The query unit is used to query a preset propagation loss value table based on the distance between the base station and the mobile station and the effective height of the base station antenna to obtain the signal propagation loss value for the corresponding spatial location.

[0015] The judgment unit is used to dynamically control the boundary of the simulation calculation area based on the preset minimum available received level threshold and the signal propagation loss value. By finding the critical point where the signal strength attenuates to the threshold value in the direction of the antenna main lobe, a fan-shaped simulation calculation area is obtained.

[0016] An execution unit is used to perform coverage simulation calculations based on the simulation calculation area. By performing calculations only within the area and ignoring all locations outside the area, the accelerated wireless signal coverage simulation results are obtained.

[0017] The beneficial effects of this invention are as follows:

[0018] This invention acquires basic geographic and equipment data of railway scenarios, combines it with a pre-generated propagation loss value table for rapid value lookup and simplifies wireless propagation model formulas to reduce the amount of simulation calculations, achieving the goal of "calculating as little as possible" to accelerate calculations; and dynamically controls the sector calculation area based on the minimum received level, ultimately performing simulation calculations only within the optimized area, achieving the effect of significantly reducing calculation points and computational complexity, thereby greatly improving the efficiency of multi-standard railway wireless signal coverage simulation while ensuring calculation accuracy.

[0019] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing embodiments of the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description, claims, and drawings. Attached Figure Description

[0020] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 This is a schematic diagram of the multi-standard railway wireless signal coverage simulation calculation acceleration method described in this embodiment of the invention;

[0022] Figure 2 This is a schematic diagram of the multi-standard railway wireless signal coverage simulation calculation acceleration system described in this embodiment of the invention;

[0023] Figure 3 This is a schematic diagram of the interface of the multi-standard railway wireless signal coverage simulation calculation acceleration system described in this embodiment of the invention.

[0024] In the diagram: 701, Acquisition Unit; 702, Calculation Unit; 703, Query Unit; 704, Judgment Unit; 705, Execution Unit. Detailed Implementation

[0025] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0026] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this invention, terms such as "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0027] Example 1:

[0028] This embodiment provides a method for accelerating simulation calculations of multi-standard railway wireless signal coverage.

[0029] See Figure 1 and Figure 3 The figure shows that the method includes steps S1, S2, S3, S4 and S5.

[0030] Step S1: Obtain the basic simulation data of the railway. The basic data includes the ground elevation data of the base station, the location data of the base station and the mobile station, the antenna height parameters of the base station and the railway line data from the three-dimensional electronic map.

[0031] Understandably, this step directly reads the ground elevation of the base station location and continuous terrain elevation data along the railway line from a 3D electronic map—an information source that realistically reflects the geographical environment. This elevation information is crucial for subsequent calculations of the impact of terrain undulations on the signal propagation path. Simultaneously, the location data of the base station and mobile station are specifically represented by their precise latitude and longitude coordinates in the map coordinate system, forming the geometric basis for analyzing spatial relationships. The base station antenna height parameter, based primarily on communication engineering design, refers to the physical height of the antenna installation position relative to the ground where the base station is located. The railway line data includes the track's horizontal and vertical alignment information, used to determine the trajectory of the mobile station (such as a train) in the simulation.

[0032] Step S2: Based on the preset calculation formula, combine and calculate the basic data to obtain the distance between the base station and the mobile station and the effective height of the base station antenna;

[0033] Understandably, this step uses a pre-defined geometric calculation formula to combine and calculate base station location data, mobile station location data, base station antenna height parameters, and related ground elevation data. First, the distance between the base station and the mobile station is calculated as a straight-line distance in three-dimensional space. This definition considers the actual spatial orientation and undulations of the railway line, ensuring the accuracy of the distance parameters. Second, the calculation of the effective height of the base station antenna is not a simple physical height calculation, but rather a specific arithmetic combination of the base station antenna height, the ground elevation of the base station location, and the ground elevation of the mobile station location. This aims to characterize the relative terrain elevation difference overcome by the signal propagation from the transmitting point to the receiving point. This parameter better reflects the dramatic terrain changes along the railway line, laying a solid foundation for subsequent accurate calculation of signal propagation loss. In this step, step S2 includes steps S21 and S22.

[0034] Step S21: First, perform an addition operation on the base station antenna mounting height parameter and the base station ground altitude data, and then perform a subtraction operation on the result and the mobile station position data to obtain the effective height of the base station antenna, which represents the relative height between the signal transmission point and the receiving point.

[0035] It is understandable that the formula for calculating the effective height of the antenna in this step is as follows:

[0036]

[0037] in, The effective height of the base station antenna indicates the relative altitude between the signal transmitting and receiving points. Indicates the height of the base station antenna above the ground. Indicates the altitude of the base station ground. This indicates the altitude of the ground where the mobile station is located.

[0038] This step integrates the altitude information contained in the base station antenna height parameters, base station ground elevation data, and mobile station location data through a specific arithmetic combination. The first addition operation adds the physical height of the base station antenna relative to its ground location to the absolute altitude of the base station site, thus obtaining the absolute altitude of the base station antenna transmission point. The subsequent subtraction operation subtracts the absolute altitude of the mobile station receiving point from this transmission point's absolute altitude. The result represents the actual terrain elevation difference traversed by the signal from the transmission point to the receiving point, i.e., the effective height of the base station antenna. This calculation method fully considers the significant undulations that may exist along the railway line, ensuring that the final altitude parameter accurately reflects the impact of terrain obstacles along the signal propagation path, rather than an isolated physical altitude value detached from the actual terrain.

[0039] Step S22: Calculate the straight-line distance between the mobile station and the base station based on the location data of the base station and the railway line data. This is done by calculating the interpolation of the two coordinate points in the three-dimensional space along the three spatial axes and taking the square root of the sum of the squares of the three differences.

[0040] It is understandable that this step, through the application of the Euclidean distance formula between two points, calculates a straight-line distance that accurately reflects the actual geometric path length of the signal propagating from the base station to the mobile station in a real three-dimensional environment that takes into account terrain undulations, rather than the projected distance on a two-dimensional plane. This is particularly suitable for scenarios where railway lines may traverse complex terrain and have significant elevation changes, providing accurate geometric input for subsequent propagation loss analysis.

[0041] Step S3: Based on the distance between the base station and the mobile station and the effective height of the base station antenna, query the preset propagation loss value table to obtain the signal propagation loss value for the corresponding spatial location;

[0042] Understandably, this step leverages the relatively limited and predictable range of base station antenna height and communication distance in railway wireless communication scenarios, transforming potentially time-consuming model analytical calculations into efficient table retrieval operations. The method of querying a pre-set numerical table has the advantage of moving computational overhead to the preparation stage; during actual simulation, only rapid index matching is needed, significantly improving the efficiency of obtaining propagation loss values ​​for each spatial location point. This provides an effective strategy for addressing the computational needs of massive location points in long-distance linear coverage simulations of railways. In this step, step S3 includes steps S31 and S32.

[0043] Step S31: Based on the effective height of the base station antenna and the distance between the mobile station and the base station, perform logarithmic transformation processing. By performing logarithmic operations with base 10 on the effective height value of the base station antenna and the distance between the mobile station and the base station respectively, obtain the logarithmic height index and logarithmic distance index for querying the propagation loss value table.

[0044] This step is understandable, especially in the railway scenario, where the height of the base station antenna above the ground... Depending on the specifications of the tower or steel pole on which the antenna is mounted, and Read through a 3D electronic map. Because the base station antenna needs to smoothly cover the railway line with wireless signals, its height range is limited, meaning... The value can only be between 1m and 70m, without sacrificing the accuracy of propagation loss calculation. The accuracy can be taken as 0.1m, then There are a total of 700 possible values.

[0045] In a railway scenario, the maximum coverage range of a base station is 4000m. Therefore, the distance between the mobile station and the base station should range from 1m to 4000m without loss of coverage. If the required calculation precision is 1 meter, then... There are a total of 4000 possible values. Therefore, and The propagation loss values ​​under all possible conditions form a 700×4000 matrix, and the retrieval time cost is almost negligible. Therefore, the main time overhead of wireless propagation loss calculation lies only in the retrieval of the matrix. and The subsequent calculations are the same as those in the traditional method and cannot be simplified. This refers to the distance between the mobile station and the base station.

[0046] Step S32: Match the logarithmic height index and logarithmic distance index with the row and column scales of the preset propagation loss value table, and directly retrieve the corresponding wireless propagation loss value from the table as the signal propagation loss result for that spatial location.

[0047] Understandably, this step, by pre-compiling the logarithmic operation into the index structure of the numerical table, allows subsequent lookup operations to be performed directly based on the logarithmic scale. This transformation converts the linear growth relationship between height and distance into a logarithmic growth relationship, which better reflects the actual variation in radio wave loss during propagation in space. The resulting logarithmic height index and logarithmic distance index, serving as a precise pair of coordinates, prepare for the next step of quickly locating and retrieving the corresponding values ​​from the pre-defined propagation loss numerical table. This is a crucial preprocessing step in accelerating the computation of the entire table lookup method.

[0048] Step S4: Based on the preset minimum available received level threshold and the signal propagation loss value, perform dynamic control of the simulation calculation area boundary. By finding the critical point where the signal strength attenuates to the threshold value in the direction of the antenna main lobe, a fan-shaped simulation calculation area is obtained.

[0049] It is understandable that this step, based on the preset minimum usable received level threshold and the signal propagation loss value obtained in step S3, searches backward along the main lobe direction of the antenna radiation to find the critical point where the signal strength attenuates exactly to the threshold. This process is based on the linear distribution of railway wireless coverage, whose effective coverage area is mainly concentrated in the fan-shaped area pointed to by the antenna's main lobe. By identifying the farthest boundary point where the signal strength just meets the communication quality requirements, the simulation calculation range can be precisely narrowed from a complete circular area centered on the base station with a radius equal to the maximum possible coverage distance to a fan-shaped area with a radius equal to that critical distance. This method effectively concentrates computational resources on sections where effective coverage is possible, significantly reducing the number of location points that need to be simulated, and is one of the key strategies for accelerating computation. In this step, step S4 includes steps S41 and S42.

[0050] Step S41: Based on the preset minimum available reception level threshold and the signal propagation loss value, compare and judge the propagation loss with the threshold value. By judging whether the propagation loss value of each location point reaches or exceeds the minimum available reception level threshold in the direction of the antenna main lobe, the distance between the location point that first meets the condition and the base station is determined as the critical boundary distance.

[0051] Understandably, in railway scenarios, the maximum coverage distance of base station wireless signals is typically designed to be 3km-4km. Therefore, the calculation area for wireless simulation is also bounded by a sector-shaped region centered on the base station, with a radius of 4km and a central angle of 3dB main lobe, to reduce the time overhead of simulation calculations. Building upon this, this invention further considers that the wireless signal coverage simulation system based on the actual model is mainly used for design verification and network optimization fine-tuning. As long as the signal coverage strength in the 3dB main lobe direction of the antenna attenuates to the minimum usable reception level specified in the "Design Specification for Railway Digital Mobile Communication System (GSM-R)" (TB10088-2015), namely -92dBm (when the design speed is >220km / h) or -95dBm (when the design speed is ≤220km / h), then locations farther from the base station do not require simulation calculations. Therefore, before performing wireless simulation calculations, the distance to the location reaching the minimum usable reception level in the 3dB main lobe direction of the antenna can be calculated first, and then this distance can be used to control the boundary of the simulation calculation area, thereby further reducing the time overhead of simulation calculations.

[0052] This step compares the signal propagation loss values ​​at each location along the line with a preset minimum usable receive level threshold, systematically traversing the locations along the antenna's main lobe radiation direction. The judgment logic is based on the propagation characteristics of radio waves; when the propagation loss value at a point reaches or exceeds the threshold, it indicates that the signal strength at that point has dropped to the minimum level required to maintain reliable communication. By identifying the critical location point that first meets this condition and calculating its distance to the base station, a dynamic boundary conforming to actual propagation laws is essentially determined for the effective coverage area. This method is particularly suitable for coverage scenarios with significant linear characteristics, such as railways, avoiding invalid calculations for areas where the signal is no longer usable, while ensuring accurate identification of coverage blind spots.

[0053] Step S42: Based on the critical boundary distance and the preset base station antenna main lobe angle information, perform geometric construction of the fan-shaped region. By taking the base station position as the vertex, the critical boundary distance as the radius, and combining the main lobe angle, determine the two side boundaries of the fan-shaped region to obtain the minimized fan-shaped calculation region for simulation.

[0054] Understandably, this step uses the base station location as the geometric vertex, the critical boundary distance as the radial range, and combines the main lobe angle information representing the antenna's main radiation direction to define a fan-shaped region through geometric construction. The two lateral boundaries of this fan-shaped region are determined by the main lobe angle, ensuring precise alignment with the expected coverage direction of the railway line. Its radial boundary is strictly limited by the critical distance, ensuring that the signal strength within the region is theoretically higher than the minimum usable receive level. In this way, the resulting fan-shaped computational region is a fully validated and precisely defined minimum computational range. It retains all necessary simulation locations while minimizing redundant areas with invalid signals, laying the spatial foundation for subsequent focusing calculations.

[0055] Step S5: Perform coverage simulation calculations based on the simulation calculation area. By performing calculations only within the area and ignoring all locations outside the area, the accelerated wireless signal coverage simulation results are obtained.

[0056] Understandably, this step first filters all candidate calculation points based on the geometric boundaries of the fan-shaped region, retaining only points located within that region as valid calculation points. Subsequently, the system calculates the received signal strength for these valid calculation points, taking into account their corresponding propagation loss values. This focused calculation strategy completely avoids unnecessary calculations in areas where the signal has attenuated to an unusable level. Finally, the system aggregates the results from all valid calculation points to generate a field strength distribution map reflecting the wireless signal coverage within the fan-shaped region. This processing method fully aligns with the linear coverage characteristics of railway wireless communication. By significantly reducing the number of actual calculation points, it significantly improves overall computational efficiency while maintaining simulation accuracy in key areas, thus achieving the ultimate goal of simulation acceleration. In this step, step S5 includes steps S51 and S52.

[0057] Step S51: Based on the simulation calculation area, the spatial location points are screened by making an inclusion judgment on all candidate location points within the coverage area and the geometric boundary of the sector area, and only the location points falling within the area are retained as valid calculation points.

[0058] Understandably, this step, based on the determined sector-shaped simulation calculation area, filters out the points that truly need to be calculated from all candidate locations within the global coverage area. This step systematically performs an inclusion check on the spatial coordinates of each candidate location against the geometric boundary conditions of the sector area. This check, based on computational geometry principles, verifies whether the point simultaneously satisfies both radial distance constraints and azimuth constraints relative to the base station. Through this filtering mechanism, a large number of locations outside the sector area with signal strength necessarily below the threshold are directly excluded, retaining only those points within the sector area as valid calculation points. This method is particularly well-suited to the linear coverage characteristics of railway wireless communication, accurately focusing on the linear corridor pointed to by the antenna's main lobe, laying an efficient foundation for subsequent targeted signal strength calculations.

[0059] Step S52: Calculate the received signal strength based on each effective calculation point and its corresponding propagation loss value according to a preset simplified formula. Based on the calculation results of all effective calculation points, generate a wireless signal coverage field strength distribution map of the entire sector area as the final accelerated simulation result.

[0060] Understandably, the calculation is performed independently for each valid point, combining system parameters such as transmit power and antenna gain with propagation loss values ​​to efficiently derive the received signal strength at each point. Finally, the system spatially integrates and visualizes the strength calculation results for all valid points, generating a field strength distribution map (e.g., [image of field strength distribution map]) reflecting the continuous change in signal strength across the entire sector. Figure 3 As shown in the figure, this distribution map represents the final accelerated simulation result output by the method of this invention, providing an intuitive basis for network planning and optimization. Furthermore, the multi-standard railway wireless signal coverage simulation system based on the field model in this step employs an analytical propagation model to calculate the large-scale spatial fading changes, i.e., the basic propagation loss, caused by obstacles blocking the propagation path of the wireless communication signal.

[0061] GSM-R operates in the 930MHz band, LTE-R in the 450MHz band, and DRTD in the 400MHz band. The modified Okumura-Hata model should be used as the propagation model, and the model formula is as follows:

[0062]

[0063] in, For wireless propagation loss, For operating frequency, The effective height of the base station antenna. This represents the effective height of the mobile station antenna. The distance between the mobile station and the base station. This is the mobile station antenna height correction factor.

[0064] For 5G-R operating in the 2100MHz frequency band, a modified COST231-Hata model should be used as the propagation model. The model formula is as follows:

[0065]

[0066] The analytical expressions for the two propagation models are identical, differing only in the operating frequency and a few polynomial coefficients. Without loss of generality, the modified Okumura-Hata model used in the GSM-R standard will be used as an example to illustrate the technical solution of this invention.

[0067] In railway scenarios, the lines are typically located in rural areas or small to medium-sized cities, so the mobile station antenna height correction factor is calculated in the following form:

[0068]

[0069] Substituting the above equation into the formula for using the modified Okumura-Hata model as the propagation model... make Then, according to the railway scenario, take... 、 After sorting, it is as follows:

[0070]

[0071] It is evident that wireless propagation loss The calculation is only related to and By reducing the number of parameters by 50%, the wireless propagation model formula based on the railway scenario is simplified, and this simplification does not sacrifice computational accuracy.

[0072] Example 2:

[0073] like Figure 2 As shown, this embodiment provides a multi-standard railway wireless signal coverage simulation calculation acceleration system. See [link to documentation]. Figure 2 The system includes an acquisition unit 701, a calculation unit 702, a query unit 703, a judgment unit 704, and an execution unit 705.

[0074] The acquisition unit 701 is used to acquire the simulation basic data of the railway. The basic data includes the ground elevation data of the base station, the location data of the base station and the mobile station, the antenna height parameters of the base station and the railway line data from the three-dimensional electronic map.

[0075] The calculation unit 702 is used to perform combined calculations on the basic data based on a preset calculation formula to obtain the distance between the base station and the mobile station and the effective height of the base station antenna.

[0076] The query unit 703 is used to query a preset propagation loss value table based on the distance between the base station and the mobile station and the effective height of the base station antenna to obtain the signal propagation loss value of the corresponding spatial location.

[0077] The judgment unit 704 is used to dynamically control the boundary of the simulation calculation area based on the preset minimum available received level threshold and the signal propagation loss value. By finding the critical point where the signal strength attenuates to the threshold value in the direction of the antenna main lobe, a fan-shaped simulation calculation area is obtained.

[0078] The execution unit 705 is used to perform coverage simulation calculations based on the simulation calculation area. By performing calculations only within the area and ignoring all locations outside the area, the accelerated wireless signal coverage simulation results are obtained.

[0079] It should be noted that the specific methods by which each module performs operations in the system described in the above embodiments have been described in detail in the embodiments related to the method, and will not be elaborated here.

[0080] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

[0081] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for accelerating simulation calculations of multi-standard railway wireless signal coverage, characterized in that, include: Acquire basic simulation data for the railway, including base station ground elevation data, base station and mobile station location data, base station antenna height parameters, and railway line data from a 3D electronic map; Based on a preset calculation formula, the basic data is combined and calculated to obtain the distance between the base station and the mobile station and the effective height of the base station antenna; Based on the distance between the base station and the mobile station and the effective height of the base station antenna, the signal propagation loss value for the corresponding spatial location is obtained by querying a preset propagation loss value table. Based on the preset minimum available received level threshold and the signal propagation loss value, the boundary of the simulation calculation area is dynamically controlled. By finding the critical point where the signal strength attenuates to the threshold value in the direction of the antenna main lobe, a fan-shaped simulation calculation area is obtained. Coverage simulation calculations are performed based on the simulation calculation area. By performing calculations only within the area and ignoring all locations outside the area, accelerated wireless signal coverage simulation results are obtained.

2. The method for accelerating simulation calculation of multi-standard railway wireless signal coverage according to claim 1, characterized in that... Based on preset calculation formulas, the basic data is combined and calculated, including: First, add the base station antenna mounting height parameter to the base station ground altitude data, then subtract the result from the mobile station location data to obtain the effective height of the base station antenna, which represents the relative height between the signal transmitting point and the receiving point. Based on the location data of the base station and the railway line data, the straight-line distance between the mobile station and the base station is calculated. This is done by calculating the interpolation of the two coordinate points in the three spatial axes in three-dimensional space, and then taking the square root of the sum of the squares of the three differences.

3. The method for accelerating simulation calculation of multi-standard railway wireless signal coverage according to claim 1, characterized in that... Based on the distance between the base station and the mobile station and the effective height of the base station antenna, a preset propagation loss value table is consulted, including: Based on the effective height of the base station antenna and the distance between the mobile station and the base station, a logarithmic transformation is performed. By performing a logarithmic operation with base 10 on the effective height of the base station antenna and the distance between the mobile station and the base station, a logarithmic height index and a logarithmic distance index for querying the propagation loss value table are obtained. The logarithmic height index and logarithmic distance index are matched with the row and column scales of a preset propagation loss value table, respectively, and the corresponding wireless propagation loss value is directly retrieved from the table as the signal propagation loss result for that spatial location.

4. The method for accelerating simulation calculation of multi-standard railway wireless signal coverage according to claim 1, characterized in that... Based on a preset minimum usable receive level threshold and the signal propagation loss value, dynamic control of the simulation calculation area boundary is performed. This involves finding the critical point where the signal strength attenuates to the threshold value in the direction of the antenna main lobe, including: The propagation loss is compared with the threshold value based on the preset minimum available reception level threshold value and the signal propagation loss value. By judging whether the propagation loss value of each location point reaches or exceeds the minimum available reception level threshold value in the direction of the antenna main lobe, the distance between the location point that first meets the condition and the base station is determined as the critical boundary distance. Based on the critical boundary distance and the preset base station antenna main lobe angle information, the geometric construction of the fan-shaped region is performed. By taking the base station position as the vertex, the critical boundary distance as the radius, and combining the main lobe angle, the two side boundaries of the fan-shaped region are determined, and the minimized fan-shaped calculation region for simulation is obtained.

5. The method for accelerating simulation calculation of multi-standard railway wireless signal coverage according to claim 1, characterized in that... Coverage simulation calculations are performed based on the simulation calculation area. By performing calculations only within the area and ignoring all locations outside the area, accelerated wireless signal coverage simulation results are obtained, including: Based on the simulation calculation area, spatial location points are filtered by making an inclusion judgment between all candidate location points within the coverage area and the geometric boundary of the sector area, and only the location points falling within the area are retained as valid calculation points. Based on each effective calculation point and its corresponding propagation loss value, the received signal strength is calculated according to a preset simplified formula. Based on the calculation results of all effective calculation points, a wireless signal coverage field strength distribution map of the entire sector area is generated as the final accelerated simulation result.

6. A multi-standard railway wireless signal coverage simulation calculation acceleration system, characterized in that, include: The acquisition unit is used to acquire the basic simulation data of the railway, which includes base station ground elevation data, base station and mobile station location data, base station antenna mounting parameters and railway line data from the three-dimensional electronic map; The calculation unit is used to perform combined calculations on the basic data based on a preset calculation formula to obtain the distance between the base station and the mobile station and the effective height of the base station antenna; The query unit is used to query a preset propagation loss value table based on the distance between the base station and the mobile station and the effective height of the base station antenna to obtain the signal propagation loss value for the corresponding spatial location. The judgment unit is used to dynamically control the boundary of the simulation calculation area based on the preset minimum available received level threshold and the signal propagation loss value. By finding the critical point where the signal strength attenuates to the threshold value in the direction of the antenna main lobe, a fan-shaped simulation calculation area is obtained. An execution unit is used to perform coverage simulation calculations based on the simulation calculation area. By performing calculations only within the area and ignoring all locations outside the area, the accelerated wireless signal coverage simulation results are obtained.

7. The multi-standard railway wireless signal coverage simulation calculation acceleration system according to claim 6, characterized in that, The computing unit includes: The first calculation subunit is used to first perform an addition operation on the base station antenna mounting height parameter and the base station ground altitude data, and then perform a subtraction operation on the result and the mobile station position data to obtain the effective height of the base station antenna, which represents the relative height between the signal transmission point and the receiving point. The second calculation subunit is used to calculate the spatial straight-line distance based on the location data of the base station and the railway line data. It calculates the interpolation of the two coordinate points in the three-dimensional space along the three spatial axes, and performs a square root operation on the sum of the squares of the three differences to obtain the straight-line distance between the mobile station and the base station.

8. The multi-standard railway wireless signal coverage simulation calculation acceleration system according to claim 6, characterized in that, The query unit includes: The first query subunit is used to perform logarithmic transformation processing based on the effective height of the base station antenna and the distance between the mobile station and the base station. By performing logarithmic operations with base 10 on the effective height value of the base station antenna and the distance between the mobile station and the base station respectively, logarithmic height index and logarithmic distance index are obtained for querying the propagation loss value table. The second query subunit is used to match the logarithmic height index and logarithmic distance index with the row and column scales of a preset propagation loss value table, and directly retrieve the corresponding wireless propagation loss value from the table as the signal propagation loss result for that spatial location.

9. The multi-standard railway wireless signal coverage simulation calculation acceleration system according to claim 6, characterized in that, The judgment unit includes: The first judgment subunit is used to compare the propagation loss with the threshold value based on the preset minimum available reception level threshold value and the signal propagation loss value. By judging whether the propagation loss value of each location point reaches or exceeds the minimum available reception level threshold value in the direction of the antenna main lobe, the distance between the location point that first meets the condition and the base station is determined as the critical boundary distance. The second judgment subunit is used to perform geometric construction of the fan-shaped region based on the critical boundary distance and the preset base station antenna main lobe angle information. By taking the base station position as the vertex, the critical boundary distance as the radius, and combining the main lobe angle to determine the two side boundaries of the fan-shaped region, a minimized fan-shaped calculation region for simulation is obtained.

10. The multi-standard railway wireless signal coverage simulation calculation acceleration system according to claim 6, characterized in that, The execution unit includes: The first execution subunit is used to filter spatial location points based on the simulation calculation area. By making an inclusion judgment on all candidate location points within the coverage area and the geometric boundary of the sector area, only the location points falling within the area are retained as valid calculation points. The second execution subunit is used to calculate the received signal strength based on each effective calculation point and its corresponding propagation loss value according to a preset simplified formula, and to generate a wireless signal coverage field strength distribution map of the entire sector area based on the calculation results of all effective calculation points, as the final accelerated simulation result.

Images