Geographic rasterization method for GSM-R network monitoring data

Abstract

The invention discloses a GSM-R (Global System for Mobile Communications-Railway) network monitoring data geographic rasterization method, which introduces a railway rasterization (encapsulation) concept, sequentially performs small-distance cutting on a railway line to form railway grids, and then belongs the GSM-R network monitoring data to the corresponding railway grids, so that accurate positioning of a network abnormal index problem road section can be realized, and the accuracy of the network abnormal index problem is improved. The working intensity and the working efficiency of field maintenance and optimization personnel are reduced, and problem road sections and related problem communities are quickly positioned.

Description

Technical Field

[0001] The invention relates to the technical field of railway wireless communication, and in particular to a method for geographical rasterization of GSM-R network monitoring data. Background Art

[0002] With the continuous advancement of railway modernization, intelligence and informatization, the depth and breadth of the application areas of railway vehicle-ground wireless data communication services are constantly expanding.

[0003] At present, the GSM-R system used by railways basically uses cells as the smallest granularity for analysis of wireless network indicators. Because a cell contains repeaters or RRUs (radio remote units), the coverage area of ​​a cell is very large, making it impossible to locate specific problem points relatively accurately.

[0004] In view of this, the present invention is proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a method for geographically rasterizing GSM-R network monitoring data, which can rasterize railways and associate them with corresponding GSM-R network monitoring data, so as to accurately locate sections with network anomaly index problems.

[0006] The objective of the present invention is achieved through the following technical solutions:

[0007] A method for geographical rasterization of GSM-R network monitoring data, comprising:

[0008] Obtaining first-category location information of sampling points on the railway line and second-category location information of cells covering the railway line;

[0009] Based on the second type of location information of the cell, the second type of location information of the sampling points on the railway line is obtained by using the position projection method;

[0010] The railway line is rasterized according to the set grid size, and the first-category position information and the second-category position information of the sampling points in the grid are combined to determine the range of the first-category position information and the range of the second-category position information of all grids on the railway line to form grid basic data;

[0011] The grid attribution judgment is performed on the GSM-R network monitoring data, and the GSM-R network monitoring data is attributed to the corresponding grid, so as to realize the geographic gridding of the GSM-R network monitoring data.

[0012] It can be seen from the technical solution provided by the present invention that by introducing the concept of railway gridding (capsulation), the railway line is cut into small intervals in sequence to form a railway grid, and the GSM-R network monitoring data is then attributed to the corresponding railway grid. This can achieve accurate positioning of problem sections with network abnormality indicators, reduce the work intensity and work efficiency of on-site maintenance and optimization personnel, and quickly locate problem sections and problem cells. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0014] Figure 1 A flowchart of a method for geographical rasterization of GSM-R network monitoring data provided by an embodiment of the present invention;

[0015] Figure 2 Schematic diagram of railway cell location and line latitude and longitude sampling points provided by an embodiment of the present invention

[0016] Figure 3 A schematic diagram of the equivalent position of a cell kilometer mark provided in an embodiment of the present invention;

[0017] Figure 4 A schematic diagram of the rasterization of a railway line provided by an embodiment of the present invention;

[0018] Figure 5 A schematic diagram of a GSM-R network monitoring data attribution grid provided by an embodiment of the present invention;

[0019] Figure 6 A schematic diagram of rasterized level data provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0020] The following is a clear and complete description of the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only 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 protection scope of the present invention.

[0021] First, the terms that may be used in this article are explained as follows:

[0022] The terms "include", "comprises", "contains", "has" or other descriptions with similar semantics should be interpreted as non-exclusive inclusion. For example, including certain technical feature elements (such as raw materials, components, ingredients, carriers, dosage forms, materials, dimensions, parts, components, mechanisms, devices, steps, procedures, methods, reaction conditions, processing conditions, parameters, algorithms, signals, data, products or products, etc.) should be interpreted as including not only certain technical feature elements explicitly listed, but also other technical feature elements known in the art that are not explicitly listed.

[0023] The term "consisting of..." means excluding any technical feature elements not explicitly listed. If this term is used in a claim, it will make the claim closed, so that it does not contain technical feature elements other than the technical feature elements explicitly listed, except for the conventional impurities related to them. If this term only appears in a clause of a claim, it only limits the elements explicitly listed in the clause, and the elements recorded in other clauses are not excluded from the overall claim.

[0024] The following is a detailed description of a method for geographical rasterization of GSM-R network monitoring data provided by the present invention. The contents not described in detail in the embodiments of the present invention belong to the prior art known to professionals in the field. If no specific conditions are specified in the embodiments of the present invention, the conventional conditions in the field or the conditions recommended by the manufacturer shall be followed.

[0025] like Figure 1 As shown, a method for geographical rasterization of GSM-R network monitoring data mainly includes the following steps:

[0026] Step 1: Obtain the first type of location information of the sampling points on the railway line and the second type of location information of the cells covering the railway line.

[0027] In the embodiment of the present invention, the first and second category expressions mainly play the role of identification, the purpose of which is to indicate that two types of location information are involved here; illustratively: the first category of location information includes: longitude and latitude information; the second category of location information includes: kilometer marker information.

[0028] Step 2: Based on the second type of location information of the cell, the second type of location information of the sampling points on the railway line is obtained by position projection.

[0029] In an embodiment of the present invention, the cell is projected onto the corresponding position of the railway line according to the principle of closest distance, and the second type of position information of the corresponding position on the railway line is obtained, and the second type of position information of the sampling point closest to the corresponding position is used as the second type of position information, thereby obtaining the first type of position information and the second type of position information of all sampling points on the railway line.

[0030] Step 3: Rasterize the railway line according to the set grid size, combine the first-category location information and the second-category location information of the sampling points in the grid, determine the range of the first-category location information and the range of the second-category location information of all grids on the railway line, and form grid basic data.

[0031] In an embodiment of the present invention, sampling points on the railway line are used as reference points, and the range of the first type of position information and the second type of position information are equidistantly filled between the reference points on the railway line according to the set grid size. After rasterization, the range of the first type of position information and the range of the second type of position information of all grids on the railway line are determined according to the first type of position information and the second type of position information of the starting and ending positions in the grid.

[0032] Step 4: Perform grid attribution judgment on the GSM-R network monitoring data, assign the GSM-R network monitoring data to the corresponding grid, and realize geographic gridding of the GSM-R network monitoring data.

[0033] In the embodiment of the present invention, the grid to which the GSM-R network monitoring data belongs can be determined according to the second type of location information corresponding to the GSM-R network monitoring data, and then the GSM-R network monitoring data can be assigned to the corresponding grid.

[0034] In order to more clearly demonstrate the technical solution and technical effects provided by the present invention, the method provided by the embodiment of the present invention is described in detail with reference to specific embodiments below.

[0035] 1. Obtain basic data.

[0036] In an embodiment of the present invention, a large number of railway line layers can be obtained from road test data or geographic layers, and the first type of location information (including mountains and tunnels) of sampling points on the railway line can be obtained, and a standardized coordinate system (such as: 84 coordinate system) can be established.

[0037] In an embodiment of the present invention, the second type of location information of the cells covering the railway line can be obtained according to the railway line construction design drawing or numbering scheme. The cells are generally on both sides of the railway line and are relatively close. Generally speaking, the first type of location information of the cells can be obtained synchronously at this stage.

[0038] As mentioned above, the first type of location information includes: longitude and latitude information; the second type of location information includes: kilometer mark information. For ease of description, the following will directly use longitude and latitude information and kilometer mark information for introduction.

[0039] like Figure 2 The figure shows the location of the railway community and the schematic diagram of the longitude and latitude sampling points of the line.

[0040] 2. Determine the kilometer mark of the railway line according to the community.

[0041] In the embodiment of the present invention, the cell is projected onto the relative position of the railway line according to the principle of the closest distance. Since the kilometer mark information of the cell is known, the kilometer mark of the corresponding position projected onto the railway is set as the kilometer mark of the cell. At the same time, the kilometer mark information of the sampling point closest to the cell on the railway line also locates the kilometer mark of the cell. At this time, the kilometer mark information and longitude and latitude information of each point on the railway line are obtained by projection.

[0042] Each cell uses the above method to perform position equivalence, and obtains the latitude and longitude information and kilometer mark information of the sampling points of the projected positions of all cells on the railway line. These sampling points will serve as the reference points for the rasterization of the railway line.

[0043] like Figure 3 As shown, a schematic diagram of the equivalent position of the cell kilometer markers is shown.

[0044] 3. Railway gridding.

[0045] In an embodiment of the present invention, latitude and longitude points and kilometer mark information are equidistantly filled between reference points on the railway line according to the size of the grid (capsule) to be analyzed, and the starting and ending longitude and latitude information and kilometer mark information of the grid of the entire railway line are obtained (that is, the longitude and latitude information range and kilometer mark information range of each grid), and the grids are numbered in sequence to form grid basic data.

[0046] In the embodiment of the present invention, the grid size is set according to the vehicle speed on the route to ensure that the measurement reports of the vehicle can be stably distributed on the capsule during operation.

[0047] like Figure 4 The figure shows a schematic diagram of the rasterization of railway lines.

[0048] 4. Rasterization of monitoring data.

[0049] In the embodiment of the present invention, the vehicle-mounted terminal equipment will report a large amount of data during the service process, which is called GSM-R network monitoring data. The data contains the kilometer mark information of the current train and the wireless coverage indicators of the current location (uplink and downlink levels, uplink and downlink quality, TA, neighboring cell levels, etc.).

[0050] The kilometer mark information in the GSM-R network monitoring data reported by the device is judged and attributed to the starting and ending kilometer marks after rasterization, that is, if the reported kilometer mark information is greater than the starting kilometer mark of a certain grid and less than or equal to the ending kilometer mark of the cell grid, the reported GSM-R network monitoring data is attributed to the corresponding grid. Similarly, other types of sampling information are also processed in this way.

[0051] like Figure 5 The figure shows a schematic diagram of the attribution grid of GSM-R network monitoring data.

[0052] After that, the wireless coverage indicators (uplink and downlink levels, uplink and downlink quality, TA, neighboring cell levels, etc.) in each line grid are integrated, for example, the average value, maximum value, minimum value, median value, etc. are taken to obtain the wireless coverage situation in each grid of the train. The effect presentation is more convenient and intuitive, and the accurate positioning of the road section with network abnormality indicators can be achieved more quickly.

[0053] like Figure 6 The figure shows a schematic diagram of the level data after being rasterized.

[0054] Those skilled in the art will understand that kilometer markers cannot be directly used in currently commonly used geographic information system software or algorithms. Therefore, when rasterizing, longitude and latitude information is needed so that the results of the kilometer markers can be presented on the map, and then used to determine the attribution of the kilometer marker information in subsequent monitoring data.

[0055] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above embodiments can be implemented by software, or by means of software plus necessary general hardware platforms. Based on such understanding, the technical solutions of the above embodiments can be embodied in the form of software products, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.), including several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0056] The above is only a preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present invention should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for geographical rasterization of GSM-R network monitoring data, characterized in that: include: Obtaining first-category location information of sampling points on the railway line and second-category location information of cells covering the railway line; Based on the second type of location information of the cell, the second type of location information of the sampling points on the railway line is obtained by using the position projection method; The railway line is rasterized according to the set grid size, and the first-category position information and the second-category position information of the sampling points in the grid are combined to determine the range of the first-category position information and the range of the second-category position information of all grids on the railway line to form grid basic data; The grid attribution judgment is performed on the GSM-R network monitoring data, and the GSM-R network monitoring data is attributed to the corresponding grid, so as to realize the geographic gridding of the GSM-R network monitoring data.

2. A method for geographical rasterization of GSM-R network monitoring data according to claim 1, characterized in that: The obtaining of the first type of location information of the sampling points on the railway line and the second type of location information of the cells covering the railway line comprises: Obtain a line layer of a railway line from the road test data or the geographic layer, and obtain the first type of location information of the sampling points on the railway line; According to the railway line construction design drawing or numbering plan, the second type of location information of the cells covering the railway line is obtained.

3. A method for geographical rasterization of GSM-R network monitoring data according to claim 1, characterized in that: The second type of location information based on the cell, using the position projection method to obtain the second type of location information of the sampling point on the railway line includes: According to the principle of closest distance, the cell is projected to the corresponding position of the railway line to obtain the second type of position information of the corresponding position on the railway line, and the second type of position information of the sampling point closest to the corresponding position is used as the second type of position information. Thus, the first type of position information and the second type of position information of all sampling points on the railway line are obtained.

4. A method for geographical rasterization of GSM-R network monitoring data according to claim 1, characterized in that: The method of rasterizing the railway line according to the set grid size, combining the first type of location information and the second type of location information of the sampling points in the grid, and determining the range of the first type of location information and the range of the second type of location information of all grids on the railway line includes: The sampling points on the railway line are taken as reference points, and the range of the first type of location information and the second type of location information are filled equidistantly between the reference points according to the set grid size. After rasterization, the range of the first type of location information and the second type of location information of all grids on the railway line are determined according to the first type of location information and the second type of location information of the starting and ending positions in the grid.

5. A method for geographically rasterizing GSM-R network monitoring data according to claim 1 or 4, characterized in that: Also includes: Set the grid size based on the speed of vehicles on the route.

6. A method for geographical rasterization of GSM-R network monitoring data according to claim 1, characterized in that: The grid attribution judgment of the GSM-R network monitoring data and attributing the GSM-R network monitoring data to the corresponding grid includes: The GSM-R network monitoring data includes the second type of location information. The grid to which the GSM-R network monitoring data belongs is determined according to the second type of location information corresponding to the GSM-R network monitoring data, and the GSM-R network monitoring data is assigned to the corresponding grid.

7. A method for geographically rasterizing GSM-R network monitoring data according to claim 1 or 6, characterized in that: Also includes: The GSM-R network monitoring data includes a wireless coverage index, and the wireless coverage status in each grid is determined by integrating the GSM-R network monitoring data in each grid.

8. A method for geographically rasterizing GSM-R network monitoring data according to claim 1, 2, 3, 4 or 6, characterized in that: The first type of location information includes: longitude and latitude information; the second type of location information includes: kilometer marker information.

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