Railway monitoring device, monitoring method and storage medium
By installing tilt sensors on the railway and distinguishing between curved and non-curved areas for data collection, the problem of large data collection and processing volume in railway monitoring is solved, data processing efficiency is improved, and driving safety risks are reduced.
Patent Information
- Application Number
- CN202310810830.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-07-04
- Publication Date
- 2025-09-05
- Estimated Expiration
- 2043-07-04
AI Technical Summary
In existing railway monitoring technologies, the amount of data collection and processing is large, especially when the railway is long, a large number of sensors need to be deployed, resulting in an excessive burden of data collection and processing, affecting driving safety.
Railway monitoring equipment is used to install tilt sensors on sleepers and randomly select brackets for data collection. This distinguishes between curved and non-curved areas, fully collecting data only in curved areas and randomly extracting some sensor data in non-curved areas. The data is then transmitted using an SQL cloud database.
It reduces the amount of sensor data collected and processed, improves data processing efficiency, reduces the impact on driving safety, and realizes efficient monitoring of railway settlement and deformation.
Smart Images

Figure CN117002555B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of railway monitoring, and in particular to a railway monitoring device, a monitoring method and a storage medium. Background Art
[0002] Railway settlement and deformation has always been a problem affecting the safety of train operation. Construction near the railway, especially the construction of underpasses in the railway area, may cause railway settlement and deformation.
[0003] One existing technology uses multiple sensors to monitor the settlement and deformation of each section of the railway. However, due to the long railway, more sensors need to be deployed, and the amount of data collection and processing is large. Summary of the Invention
[0004] The present invention aims to solve at least one of the technical problems existing in the prior art. To this end, the present invention provides a railway monitoring device, a monitoring method and a storage medium that can solve the problem of large data collection and processing volume in existing railway detection technologies.
[0005] A railway monitoring device according to an embodiment of a first aspect of the present invention is used to monitor a railway, wherein the railway includes a plurality of sleepers, including:
[0006] Backend monitoring terminal;
[0007] A data acquisition module, the data acquisition module is communicatively connected to the background monitoring terminal;
[0008] a plurality of longitudinal supports, each of which is equipped with a first tilt sensor, wherein an output end of the first tilt sensor is electrically connected to the data acquisition module, wherein one sleeper is selected as a target sleeper for every K sleepers, where K is a natural number, and both ends of the longitudinal support are respectively mounted on two adjacent target sleepers;
[0009] a plurality of transverse brackets, each of which is equipped with a second tilt sensor, wherein an output end of the second tilt sensor is electrically connected to the data acquisition module, and both ends of the transverse bracket are mounted on the same target sleeper and have the same axial direction as the target sleeper;
[0010] The background monitoring terminal monitors the railway by using a railway monitoring method, and the railway monitoring method includes:
[0011] determining a curved area and a non-curved area of the railway;
[0012] Randomly selecting M first longitudinal brackets from N first longitudinal brackets as second longitudinal brackets, where the first longitudinal brackets are the longitudinal brackets in the non-curved area, N is the total number of the first longitudinal brackets, and M is a natural number, and the value range of M is (0, N);
[0013] detecting an inclination of the second longitudinal bracket by the first inclination sensor on the second longitudinal bracket to obtain first inclination data;
[0014] confirming whether longitudinal deformation occurs in the non-curve area according to the first inclination data;
[0015] Randomly selecting W first transverse brackets from D first transverse brackets as second transverse brackets, where the first transverse brackets are the transverse brackets in the non-curved area, D is the total number of the first transverse brackets, and W is a natural number, with a value range of (0, D);
[0016] detecting an inclination of the second transverse bracket by the second inclination sensor on the second transverse bracket to obtain second inclination data;
[0017] determining whether lateral deformation occurs in the non-curve area according to the second inclination data;
[0018] detecting the inclination of the longitudinal bracket by the first inclination sensor on each of the longitudinal brackets in the curve area to obtain third inclination data;
[0019] determining whether longitudinal deformation occurs in the curved area according to the third inclination data;
[0020] detecting the inclination of the transverse bracket by the second inclination sensor on each of the transverse brackets in the curve area to obtain fourth inclination data;
[0021] Whether lateral deformation occurs in the curve area is determined based on the fourth inclination data.
[0022] The railway monitoring device according to the first embodiment of the present invention has at least the following beneficial effects:
[0023] By determining the curved area and non-curved area of the railway, M first longitudinal supports are randomly selected from N first longitudinal supports as second longitudinal supports, the first longitudinal support is the longitudinal support in the non-curved area, the inclination of the second longitudinal support is detected by the first tilt sensor on the second longitudinal support, and first tilt data is obtained. According to the first tilt data, whether longitudinal deformation occurs in the non-curved area is confirmed, W first transverse supports are randomly selected from D first transverse supports as second transverse supports, the first transverse support is the transverse support in the non-curved area, the inclination of the second transverse support is detected by the second tilt sensor on the second transverse support, and second tilt data is obtained. According to the second tilt data, whether transverse deformation occurs in the non-curved area is confirmed, the inclination of the longitudinal support is detected by the first tilt sensor on each longitudinal support in the curved area, and third tilt data is obtained. According to the third tilt data, whether longitudinal deformation occurs in the curved area is confirmed, the inclination of the transverse support is detected by the second tilt sensor on each transverse support in the curved area, and fourth tilt data is obtained. According to the fourth tilt data, whether transverse deformation occurs in the curved area is confirmed. According to the railway monitoring device of the first aspect of the present invention, compared with the traditional railway monitoring device, each time data is collected and processed, for the curved area that is more likely to cause driving safety problems, the data of all the first tilt sensors and the second tilt sensors in the curved area are collected and processed, so as to monitor whether longitudinal deformation and lateral deformation occur in the curved area; for the non-curved area, the first tilt sensors and the second tilt sensors in some non-curved areas are randomly selected, and the data of the selected first tilt sensors and the second tilt sensors are collected and processed to represent the overall data in the non-curved area, so as to monitor whether longitudinal deformation and lateral deformation occur in the non-curved area, thereby reducing the collection and processing amount of the first tilt sensors and the second tilt sensors.
[0024] According to some embodiments of the present invention, the data acquisition module transmits data with the background monitoring terminal through an SQL cloud database.
[0025] According to some embodiments of the present invention, K is 3.
[0026] A railway monitoring method according to an embodiment of the second aspect of the present invention includes:
[0027] Determine the curved and non-curved areas of the railway;
[0028] Randomly selecting M first longitudinal brackets from N first longitudinal brackets as second longitudinal brackets, where the first longitudinal brackets are longitudinal brackets in the non-curved area, N is the total number of the first longitudinal brackets, and M is a natural number whose value range is (0, N);
[0029] detecting an inclination of the second longitudinal bracket by a first inclination sensor on the second longitudinal bracket to obtain first inclination data;
[0030] confirming whether longitudinal deformation occurs in the non-curve area according to the first inclination data;
[0031] Randomly selecting W first transverse brackets from D first transverse brackets as second transverse brackets, where the first transverse brackets are transverse brackets in the non-curved area, D is the total number of the first transverse brackets, and W is a natural number whose value range is (0, D);
[0032] detecting an inclination of the second transverse bracket by a second inclination sensor on the second transverse bracket to obtain second inclination data;
[0033] determining whether lateral deformation occurs in the non-curve area according to the second inclination data;
[0034] detecting the inclination of the longitudinal bracket by the first inclination sensor on each of the longitudinal brackets in the curve area to obtain third inclination data;
[0035] determining whether longitudinal deformation occurs in the curved area according to the third inclination data;
[0036] detecting the inclination of the transverse bracket by the second inclination sensor on each of the transverse brackets in the curve area to obtain fourth inclination data;
[0037] Whether lateral deformation occurs in the curve area is determined based on the fourth inclination data.
[0038] The railway monitoring method according to the second embodiment of the present invention has at least the following beneficial effects:
[0039] By determining the curved area and non-curved area of the railway, M first longitudinal supports are randomly selected from N first longitudinal supports as second longitudinal supports, the first longitudinal support is the longitudinal support in the non-curved area, the inclination of the second longitudinal support is detected by the first tilt sensor on the second longitudinal support, and first tilt data is obtained. According to the first tilt data, whether longitudinal deformation occurs in the non-curved area is confirmed, W first transverse supports are randomly selected from D first transverse supports as second transverse supports, the first transverse support is the transverse support in the non-curved area, the inclination of the second transverse support is detected by the second tilt sensor on the second transverse support, and second tilt data is obtained. According to the second tilt data, whether transverse deformation occurs in the non-curved area is confirmed, the inclination of the longitudinal support is detected by the first tilt sensor on each longitudinal support in the curved area, and third tilt data is obtained. According to the third tilt data, whether longitudinal deformation occurs in the curved area is confirmed, the inclination of the transverse support is detected by the second tilt sensor on each transverse support in the curved area, and fourth tilt data is obtained. According to the fourth tilt data, whether transverse deformation occurs in the curved area is confirmed. According to the railway monitoring method of the embodiment of the third aspect of the present invention, compared with the traditional railway monitoring method, each time data is collected and processed, for the curved area that is more likely to cause driving safety problems, the data of all the first tilt sensors and the second tilt sensors in the curved area are collected and processed, so as to monitor whether longitudinal deformation and lateral deformation occur in the curved area; for the non-curved area, the first tilt sensors and the second tilt sensors in some non-curved areas are randomly selected, and the data of the selected first tilt sensors and the second tilt sensors are collected and processed to represent the overall data in the non-curved area, so as to monitor whether longitudinal deformation and lateral deformation occur in the non-curved area, thereby reducing the collection and processing amount of the first tilt sensors and the second tilt sensors.
[0040] According to some embodiments of the present invention, determining whether longitudinal deformation occurs in the non-curve area based on the first inclination data includes:
[0041] obtaining first initial inclination data, wherein the first initial inclination data includes an initial inclination of the second longitudinal bracket;
[0042] Whether longitudinal deformation occurs in the non-curve area is determined based on the first inclination data and the first initial inclination data.
[0043] According to some embodiments of the present invention, determining whether lateral deformation occurs in the non-curve area based on the second inclination data includes:
[0044] obtaining second initial inclination data, wherein the second initial inclination data includes an initial inclination of the second transverse bracket;
[0045] Whether lateral deformation occurs in the non-curve area is determined based on the second inclination data and the second initial inclination data.
[0046] According to some embodiments of the present invention, determining whether longitudinal deformation occurs in the curved area based on the third inclination data includes:
[0047] obtaining third initial inclination data, wherein the third initial inclination data includes initial inclination data of the longitudinal support in the curve area;
[0048] Whether longitudinal deformation occurs in the curve area is determined based on the third inclination data and the third initial inclination data.
[0049] According to some embodiments of the present invention, determining whether lateral deformation occurs in the curved area based on the fourth inclination data includes:
[0050] obtaining fourth initial inclination data, wherein the fourth initial inclination data includes initial inclination data of the transverse support in the curve area;
[0051] Whether lateral deformation occurs in the curve area is determined based on the fourth inclination data and the fourth initial inclination data.
[0052] According to the computer-readable storage medium of the third embodiment of the present invention, a program executable by a processor is stored therein, and the program executable by the processor is used to implement the railway monitoring method as described above when executed by the processor.
[0053] The computer-readable storage medium according to the third aspect of the present invention has at least the following beneficial effects:
[0054] By determining the curved area and non-curved area of the railway, M first longitudinal supports are randomly selected from N first longitudinal supports as second longitudinal supports, the first longitudinal support is the longitudinal support in the non-curved area, the inclination of the second longitudinal support is detected by the first tilt sensor on the second longitudinal support, and first tilt data is obtained. According to the first tilt data, whether longitudinal deformation occurs in the non-curved area is confirmed, W first transverse supports are randomly selected from D first transverse supports as second transverse supports, the first transverse support is the transverse support in the non-curved area, the inclination of the second transverse support is detected by the second tilt sensor on the second transverse support, and second tilt data is obtained. According to the second tilt data, whether transverse deformation occurs in the non-curved area is confirmed, the inclination of the longitudinal support is detected by the first tilt sensor on each longitudinal support in the curved area, and third tilt data is obtained. According to the third tilt data, whether longitudinal deformation occurs in the curved area is confirmed, the inclination of the transverse support is detected by the second tilt sensor on each transverse support in the curved area, and fourth tilt data is obtained. According to the fourth tilt data, whether transverse deformation occurs in the curved area is confirmed. The computer-readable storage medium of the embodiment of the third aspect of the present invention collects and processes data each time, for a curved area that is more likely to cause driving safety problems, the data of all the first tilt sensors and the second tilt sensors in the curved area are collected and processed, so as to monitor whether longitudinal deformation and lateral deformation occur in the curved area; for a non-curved area, the first tilt sensors and the second tilt sensors in some non-curved areas are randomly selected, and the data of the selected first tilt sensors and the second tilt sensors are collected and processed to represent the overall data in the non-curved area, so as to monitor whether longitudinal deformation and lateral deformation occur in the non-curved area, thereby reducing the collection and processing amount of the first tilt sensors and the second tilt sensors.
[0055] Additional aspects and advantages of the present invention will be set forth in part in the description which follows and, in part, will be obvious from the description which follows, or may be learned by practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS
[0056] The present invention will be further described below with reference to the accompanying drawings and embodiments, in which:
[0057] Figure 1 is a functional block diagram of the railway monitoring device of the present invention;
[0058] Figure 2 This is a schematic diagram of the installation positions of the transverse bracket and the longitudinal bracket of the present invention;
[0059] Figure 3 is a flow chart of the railway monitoring method of the present invention;
[0060] Figure 4This is a flow chart of the present invention for determining whether longitudinal deformation occurs in a non-curve area;
[0061] Figure 5 This is a flow chart of the present invention for determining whether lateral deformation occurs in a non-curve area;
[0062] Figure 6 This is a flow chart of the present invention for determining whether longitudinal deformation occurs in a curve area;
[0063] Figure 7 This is a flow chart of the present invention for determining whether lateral deformation occurs in a curve area.
[0064] Reference numerals:
[0065] Sleepers 100,
[0066] Backstage monitoring terminal 200,
[0067] Data acquisition module 300,
[0068] longitudinal bracket 400, first tilt sensor 410,
[0069] Horizontal bracket 500, second tilt sensor 510,
[0070] SQL cloud database 600. DETAILED DESCRIPTION
[0071] The following describes embodiments of the present invention in detail. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended only to explain the present invention and are not to be construed as limiting the present invention.
[0072] In the description of the present invention, it should be understood that descriptions involving orientation, such as the orientation or positional relationship indicated by up, down, etc., are based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.
[0073] In the description of the present invention, "a plurality" refers to more than two. The use of "first" or "second" is solely for the purpose of distinguishing technical features and should not be construed as indicating or implying relative importance, or implicitly indicating the number of the indicated technical features, or implicitly indicating the order of the indicated technical features.
[0074] In the description of the present invention, unless otherwise clearly defined, terms such as setting, installing, and connecting should be understood in a broad sense, and technicians in the relevant technical field can reasonably determine the specific meanings of the above terms in the present invention based on the specific content of the technical solution.
[0075] The following is based on Figures 1 to 7 A railway monitoring device, a monitoring method, and a storage medium according to embodiments of the present invention are described.
[0076] like Figures 1 to 2 As shown, a railway monitoring device according to an embodiment of the present invention is used to monitor a railway, where the railway includes a plurality of sleepers 100. The railway monitoring device includes: a background monitoring terminal 200, a data acquisition module 300, a plurality of transverse supports 500, and a plurality of longitudinal supports 400. The data acquisition module 300 is communicatively connected to the background monitoring terminal 200. A second tilt sensor 510 is installed on the transverse support 500, and an output end of the second tilt sensor 510 is electrically connected to the data acquisition module 300. One sleeper 100 is selected as a target sleeper every K sleepers 100. Both ends of the transverse support 500 are installed on the same target sleeper and have the same axial direction as the target sleeper, where K is a natural number. A first tilt sensor 410 is installed on the longitudinal support 400, and an output end of the first tilt sensor 410 is electrically connected to the data acquisition module 300. Both ends of the longitudinal support 400 are respectively installed on two adjacent target sleepers and have the same radial direction as the target sleepers.
[0077] The backend monitoring terminal 200 monitors the railway by using a railway monitoring method, such as Figure 3 As shown, railway monitoring methods include:
[0078] Step S010: determining the curved area and the non-curved area of the railway;
[0079] Step S020: Randomly select M first longitudinal brackets 400 from N first longitudinal brackets 400 as second longitudinal brackets 400, where the first longitudinal brackets 400 are longitudinal brackets 400 in a non-curved area, N is the total number of first longitudinal brackets 400, and M is a natural number in the range of (0, N).
[0080] Step S030: detecting the inclination of the second longitudinal bracket 400 by the first inclination sensor 410 on the second longitudinal bracket 400 to obtain first inclination data;
[0081] Step S040: confirming whether longitudinal deformation occurs in the non-curve area according to the first inclination data;
[0082] Step S050: randomly selecting W first transverse brackets 500 from the D first transverse brackets 500 as second transverse brackets 500, where the first transverse brackets 500 are transverse brackets 500 in a non-curved area, D is the total number of first transverse brackets 500, and W is a natural number whose value range is (0, D).
[0083] Step S060: detecting the inclination of the second transverse bracket 500 by the second inclination sensor 510 on the second transverse bracket 500 to obtain second inclination data;
[0084] Step S070: confirming whether lateral deformation occurs in the non-curve area according to the second inclination data;
[0085] Step S080: Detecting the inclination of the longitudinal bracket 400 by the first inclination sensor 410 on each longitudinal bracket 400 in the curve area to obtain third inclination data;
[0086] Step S090: confirming whether longitudinal deformation occurs in the curve area according to the third inclination data;
[0087] Step S100: Detecting the inclination of each transverse support 500 by the second inclination sensor 510 on each transverse support 500 in the curve area to obtain fourth inclination data;
[0088] Step S110: Determine whether lateral deformation occurs in the curve area according to the fourth inclination data.
[0089] By determining the curved area and the non-curved area of the railway, M first longitudinal supports 400 are randomly selected from N first longitudinal supports 400 as the second longitudinal supports 400, and the first longitudinal supports 400 are the longitudinal supports 400 in the non-curved area. The inclination of the second longitudinal support 400 is detected by the first tilt sensor 410 on the second longitudinal support 400 to obtain first tilt data. According to the first tilt data, it is confirmed whether longitudinal deformation occurs in the non-curved area. W first transverse supports 500 are randomly selected from D first transverse supports 500 as the second transverse supports 500, and the first transverse supports 500 are the transverse supports 500 in the non-curved area. The second tilt sensor 510 on the second transverse bracket 500 detects the inclination of the second transverse bracket 500 to obtain second inclination data, and confirms whether transverse deformation occurs in the non-curve area based on the second inclination data. The first tilt sensor 410 on each longitudinal bracket 400 in the curve area detects the inclination of the longitudinal bracket 400 to obtain third inclination data, and confirms whether longitudinal deformation occurs in the curve area based on the third inclination data. The second tilt sensor 510 on each transverse bracket 500 in the curve area detects the inclination of the transverse bracket 500 to obtain fourth inclination data, and confirms whether transverse deformation occurs in the curve area based on the fourth inclination data. Compared with traditional railway monitoring devices, the railway monitoring device of the embodiment of the present invention collects and processes data from all the first tilt sensors 410 and the second tilt sensors 510 in the curved area that is more likely to cause driving safety problems each time when collecting and processing data, so as to monitor whether longitudinal and lateral deformation occur in the curved area; for non-curved areas, the first tilt sensors 410 and the second tilt sensors 510 in some non-curved areas are randomly selected, and the data of the selected first tilt sensors 410 and the second tilt sensors 510 are collected and processed to represent the overall data in the non-curved area, so as to monitor whether longitudinal and lateral deformation occur in the non-curved area, thereby reducing the collection and processing amount of the first tilt sensors 410 and the second tilt sensors 510.
[0090] like Figure 1 As shown, in one embodiment of the present invention, the data acquisition module 300 transmits data with the background monitoring terminal 200 through the SQL cloud database 600, the data collected by the first tilt sensor 410 and the second tilt sensor 510 are aggregated to the data acquisition module 300, the data acquisition module 300 uploads the data to the SQL cloud database 600 in real time, and the background monitoring terminal 200 obtains data from the SQL cloud database 600 without being limited by the transmission distance.
[0091] like Figure 2As shown, in one embodiment of the present invention, K is 3, and one sleeper 100 is selected as a target sleeper from every three sleepers 100, and the inclination of the target sleeper is monitored, thereby reflecting the overall inclination of the railway.
[0092] like Figure 3 As shown, the railway monitoring method according to an embodiment of the present invention includes:
[0093] Step S010: determining the curved area and the non-curved area of the railway;
[0094] In this step, by determining the curved areas and non-curved areas of the railway, different data collection and processing strategies are performed according to the curved areas and non-curved areas in the subsequent steps.
[0095] Step S020: Randomly select M first longitudinal brackets 400 from N first longitudinal brackets 400 as second longitudinal brackets 400, where the first longitudinal brackets 400 are longitudinal brackets 400 in a non-curved area, N is the total number of first longitudinal brackets 400, and M is a natural number in the range of (0, N).
[0096] In this step, M second longitudinal brackets 400 are randomly selected from the N first longitudinal brackets 400 , and the M second longitudinal brackets 400 represent the inclination conditions of all longitudinal brackets 400 in the non-curved area.
[0097] It should be noted that the value of M can be determined based on the application scenario and experience. For example, the value of M can be determined based on the condition that M / N=1 / 2.
[0098] Step S030: detecting the inclination of the second longitudinal bracket 400 by the first inclination sensor 410 on the second longitudinal bracket 400 to obtain first inclination data;
[0099] In this step, the first tilt sensor 410 monitors the tilt of the second longitudinal bracket 400 to obtain first tilt data, which reflects the tilt of the second longitudinal bracket 400 .
[0100] Step S040: confirming whether longitudinal deformation occurs in the non-curve area according to the first inclination data;
[0101] In this step, since the second longitudinal support 400 is installed on the target sleeper, the inclination of the second longitudinal support 400 can reflect the inclination of the target sleeper, thereby determining whether longitudinal deformation occurs in the non-curve area.
[0102] Step S050: randomly selecting W first transverse brackets 500 from the D first transverse brackets 500 as second transverse brackets 500, where the first transverse brackets 500 are transverse brackets 500 in a non-curved area, D is the total number of first transverse brackets 500, and W is a natural number whose value range is (0, D).
[0103] In this step, W second transverse brackets 500 are randomly selected from the D first transverse brackets 500 , and the W second transverse brackets 500 represent the inclination conditions of all transverse brackets 500 in the non-curved area.
[0104] It should be noted that the value of W can be determined based on the application scenario and experience. For example, the value of W can be determined based on the condition that W / D=1 / 3.
[0105] Step S060: detecting the inclination of the second transverse bracket 500 by the second inclination sensor 510 on the second transverse bracket 500 to obtain second inclination data;
[0106] In this step, the inclination of the second transverse bracket 500 is monitored by the second inclination sensor 510 to obtain second inclination data, which reflects the inclination of the second transverse bracket 500 .
[0107] Step S070: confirming whether lateral deformation occurs in the non-curve area according to the second inclination data;
[0108] In this step, since the second transverse support 500 is installed on the target sleeper, the inclination of the second transverse support 500 can reflect the inclination of the target sleeper, thereby determining whether longitudinal deformation occurs in the non-curved area.
[0109] Step S080: Detecting the inclination of the longitudinal bracket 400 by the first inclination sensor 410 on each longitudinal bracket 400 in the curve area to obtain third inclination data;
[0110] In this step, each first tilt sensor 410 in the curve region monitors the inclination of the corresponding longitudinal support 400 to obtain third inclination data. The third inclination data reflects the inclination of the longitudinal support 400 in the curve region. Since the data from each first tilt sensor 410 in the curve region is collected and processed, the monitoring is more accurate.
[0111] Step S090: confirming whether longitudinal deformation occurs in the curve area according to the third inclination data;
[0112] In this step, since the longitudinal support 400 is installed on the target sleeper, the inclination of the longitudinal support 400 can reflect the inclination of the target sleeper, thereby determining whether longitudinal deformation occurs in the curve area.
[0113] Step S100: Detecting the inclination of each transverse support 500 by the second inclination sensor 510 on each transverse support 500 in the curve area to obtain fourth inclination data;
[0114] In this step, each second tilt sensor 510 in the curve region monitors the inclination of the corresponding transverse support 500 to obtain fourth inclination data, which reflects the inclination of the transverse support 500 in the curve region. Since the data from each second tilt sensor 510 in the curve region is collected and processed, the monitoring is more accurate.
[0115] Step S110: Determine whether lateral deformation occurs in the curve area according to the fourth inclination data.
[0116] In this step, since the transverse support 500 is installed on the target sleeper, the inclination of the transverse support 500 can reflect the inclination of the target sleeper, thereby determining whether transverse deformation occurs in the curve area.
[0117] By determining the curved area and the non-curved area of the railway, M first longitudinal supports 400 are randomly selected from N first longitudinal supports 400 as the second longitudinal supports 400, and the first longitudinal supports 400 are the longitudinal supports 400 in the non-curved area. The inclination of the second longitudinal support 400 is detected by the first tilt sensor 410 on the second longitudinal support 400 to obtain first tilt data. According to the first tilt data, it is confirmed whether longitudinal deformation occurs in the non-curved area. W first transverse supports 500 are randomly selected from D first transverse supports 500 as the second transverse supports 500, and the first transverse supports 500 are the transverse supports 500 in the non-curved area. The second tilt sensor 510 on the second transverse bracket 500 detects the inclination of the second transverse bracket 500 to obtain second inclination data, and confirms whether transverse deformation occurs in the non-curve area based on the second inclination data. The first tilt sensor 410 on each longitudinal bracket 400 in the curve area detects the inclination of the longitudinal bracket 400 to obtain third inclination data, and confirms whether longitudinal deformation occurs in the curve area based on the third inclination data. The second tilt sensor 510 on each transverse bracket 500 in the curve area detects the inclination of the transverse bracket 500 to obtain fourth inclination data, and confirms whether transverse deformation occurs in the curve area based on the fourth inclination data. Compared with the traditional railway monitoring method, the railway monitoring method of the embodiment of the present invention collects and processes data from all the first tilt sensors 410 and the second tilt sensors 510 in the curved area that is more likely to cause driving safety problems each time when collecting and processing data, so as to monitor whether longitudinal and lateral deformation occur in the curved area; for non-curved areas, the first tilt sensors 410 and the second tilt sensors 510 in some non-curved areas are randomly selected, and the data of the selected first tilt sensors 410 and the second tilt sensors 510 are collected and processed to represent the overall data in the non-curved area, so as to monitor whether longitudinal and lateral deformation occur in the non-curved area, thereby reducing the collection and processing amount of the first tilt sensors 410 and the second tilt sensors 510.
[0118] like Figure 4 As shown, an embodiment of the present invention further explains "confirming whether longitudinal deformation occurs in the non-curve area according to the first inclination data" in step S040, and step S040 includes but is not limited to step S041 and step S042.
[0119] Step S041: obtaining first initial inclination data, where the first initial inclination data includes an initial inclination of the second longitudinal bracket 400;
[0120] Step S042: confirming whether longitudinal deformation occurs in the non-curve area based on the first inclination data and the first initial inclination data.
[0121] In this step, by obtaining the first initial inclination data, that is, obtaining the initial inclination of the second longitudinal bracket 400 , and by comparing the first inclination data with the first initial inclination data, it can be confirmed whether longitudinal deformation occurs in the non-curve area.
[0122] It can be understood that the first initial inclination data is the longitudinal inclination of the non-curve area before construction near the railway. By comparing the first inclination data and the first initial inclination data, it is confirmed whether the construction causes the railway to sink and produce longitudinal deformation.
[0123] like Figure 5 As shown, some embodiments of the present invention further illustrate step S070 of "confirming whether lateral deformation occurs in the non-curve area based on the second inclination data", and step S070 includes but is not limited to step S071 and step S072.
[0124] Step S071: obtaining second initial inclination data, where the second initial inclination data includes an initial inclination of the second transverse bracket 500;
[0125] Step S072: Determine whether lateral deformation occurs in the non-curve area based on the second inclination data and the second initial inclination data.
[0126] In this step, by obtaining the second initial inclination data, that is, obtaining the initial inclination of the second transverse bracket 500 , and by comparing the second inclination data with the second initial inclination data, it can be confirmed whether transverse deformation occurs in the non-curve area.
[0127] It can be understood that the second initial inclination data is the lateral inclination of the non-curve area before construction near the railway. By comparing the second inclination data and the second initial inclination data, it is confirmed whether the construction causes the railway to sink and produce lateral deformation.
[0128] like Figure 6 As shown, in some embodiments of the present invention, for step S090 of "confirming whether longitudinal deformation occurs in the curve area according to the third inclination data", step S090 includes but is not limited to step S091 and step S092.
[0129] Step S091: obtaining third initial inclination data, where the third initial inclination data includes initial inclination data of the longitudinal support 400 in the curve area;
[0130] Step S092: Determine whether longitudinal deformation occurs in the curve area based on the third inclination data and the third initial inclination data.
[0131] In this step, by obtaining the third initial inclination data, that is, obtaining the initial inclination data of each longitudinal bracket 400 in the curve area, and by comparing the third inclination data with the third initial inclination data, it can be confirmed whether longitudinal deformation occurs in the curve area.
[0132] It can be understood that the third initial inclination data is the longitudinal inclination of the curve area before construction near the railway. By comparing the third inclination data and the third initial inclination data, it is confirmed whether the construction causes settlement of the curve area and longitudinal deformation.
[0133] like Figure 7 As shown, an embodiment of the present invention further explains "confirming whether lateral deformation occurs in the curve area according to the fourth inclination data" in step S110, and step S110 includes but is not limited to step S111 and step S112.
[0134] Step S111: obtaining fourth initial inclination data, where the fourth initial inclination data includes initial inclination data of the transverse support 500 in the curve area;
[0135] Step S112: determining whether lateral deformation occurs in the curve area according to the fourth inclination data and the fourth initial inclination data.
[0136] In this step, by obtaining the fourth initial inclination data, that is, obtaining the initial inclination data of each transverse bracket 500 in the curve area, and by comparing the fourth inclination data with the fourth initial inclination data, it can be confirmed whether transverse deformation occurs in the curve area.
[0137] It can be understood that the fourth initial inclination data is the lateral inclination of the curve area before construction near the railway. By comparing the fourth inclination data and the fourth initial inclination data, it is confirmed whether the construction causes settlement of the curve area and lateral deformation.
[0138] In addition, an embodiment of the present invention further discloses a computer-readable storage medium, which stores a program executable by a processor. When the program executable by the processor is executed by the processor, it is used to implement the railway monitoring method as described above.
[0139] By determining the curved area and the non-curved area of the railway, M first longitudinal supports 400 are randomly selected from N first longitudinal supports 400 as the second longitudinal supports 400, and the first longitudinal supports 400 are the longitudinal supports 400 in the non-curved area. The inclination of the second longitudinal support 400 is detected by the first tilt sensor 410 on the second longitudinal support 400 to obtain first tilt data. According to the first tilt data, it is confirmed whether longitudinal deformation occurs in the non-curved area. W first transverse supports 500 are randomly selected from D first transverse supports 500 as the second transverse supports 500, and the first transverse supports 500 are the transverse supports 500 in the non-curved area. The second tilt sensor 510 on the second transverse bracket 500 detects the inclination of the second transverse bracket 500 to obtain second inclination data, and confirms whether transverse deformation occurs in the non-curve area based on the second inclination data. The first tilt sensor 410 on each longitudinal bracket 400 in the curve area detects the inclination of the longitudinal bracket 400 to obtain third inclination data, and confirms whether longitudinal deformation occurs in the curve area based on the third inclination data. The second tilt sensor 510 on each transverse bracket 500 in the curve area detects the inclination of the transverse bracket 500 to obtain fourth inclination data, and confirms whether transverse deformation occurs in the curve area based on the fourth inclination data. The computer-readable storage medium of an embodiment of the present invention collects and processes data each time, for a curved area that is more likely to cause driving safety problems, the data of all the first tilt sensors 410 and the second tilt sensors 510 in the curved area are collected and processed, thereby monitoring whether longitudinal deformation and lateral deformation occur in the curved area; for a non-curved area, the first tilt sensors 410 and the second tilt sensors 510 in some non-curved areas are randomly selected, and the data of the selected first tilt sensors 410 and the second tilt sensors 510 are collected and processed to represent the overall data in the non-curved area, thereby monitoring whether longitudinal deformation and lateral deformation occur in the non-curved area, thereby reducing the collection and processing amount of the first tilt sensor 410 and the second tilt sensor 510.
[0140] The embodiments of the present invention are described in detail above with reference to the accompanying drawings. However, the present invention is not limited to the above embodiments. Various changes can be made within the knowledge of ordinary technicians in the relevant technical field without departing from the scope of the present invention.
Claims
1. A railway monitoring device for monitoring a railway comprising a plurality of sleepers (100), characterized in that: include: Backend monitoring terminal (200); A data acquisition module (300), the data acquisition module (300) is communicatively connected to the background monitoring terminal (200); A plurality of longitudinal supports (400), each of which is equipped with a first tilt sensor (410), wherein an output end of the first tilt sensor (410) is electrically connected to the data acquisition module (300), and one of the sleepers (100) is selected as a target sleeper for every K sleepers (100), where K is a natural number, and both ends of the longitudinal support (400) are respectively installed on two adjacent target sleepers; a plurality of transverse supports (500), wherein a second tilt sensor (510) is mounted on each transverse support (500), an output end of the second tilt sensor (510) is electrically connected to the data acquisition module (300), and both ends of the transverse support (500) are mounted on the same target sleeper and have the same axial direction as the target sleeper; The background monitoring terminal (200) monitors the railway using a railway monitoring method, wherein the railway monitoring method comprises: determining a curved area and a non-curved area of the railway; Randomly selecting M first longitudinal brackets (400) from N first longitudinal brackets (400) as second longitudinal brackets (400), wherein the first longitudinal brackets (400) are the longitudinal brackets (400) in the non-curved area, N is the total number of the first longitudinal brackets (400), and M is a natural number, and the value range of M is (0, N); detecting the inclination of the second longitudinal bracket (400) by means of the first inclination sensor (410) on the second longitudinal bracket (400) to obtain first inclination data; confirming whether longitudinal deformation occurs in the non-curve area according to the first inclination data; W first transverse brackets (500) are randomly selected from D first transverse brackets (500) as second transverse brackets (500), wherein the first transverse brackets (500) are the transverse brackets (500) in the non-curved area, D is the total number of the first transverse brackets (500), and W is a natural number, and the value range of W is (0, D); detecting the inclination of the second transverse bracket (500) by the second inclination sensor (510) on the second transverse bracket (500) to obtain second inclination data; determining whether lateral deformation occurs in the non-curve area according to the second inclination data; detecting the inclination of the longitudinal bracket (400) by means of the first inclination sensor (410) on each longitudinal bracket (400) in the curve area, thereby obtaining third inclination data; determining whether longitudinal deformation occurs in the curved area according to the third inclination data; detecting the inclination of the transverse bracket (500) by the second inclination sensor (510) on each transverse bracket (500) in the curve area to obtain fourth inclination data; Whether lateral deformation occurs in the curve area is determined based on the fourth inclination data.
2. The railway monitoring device according to claim 1, characterized in that: The data acquisition module (300) transmits data with the background monitoring terminal (200) via the SQL cloud database (600).
3. The railway monitoring device according to claim 1, characterized in that: K is 3.
4. A railway monitoring method, characterized in that: include: Determine the curved and non-curved areas of the railway; Randomly selecting M first longitudinal brackets (400) from N first longitudinal brackets (400) as second longitudinal brackets (400), wherein the first longitudinal brackets (400) are longitudinal brackets (400) in the non-curved area, N is the total number of the first longitudinal brackets (400), and M is a natural number, and the value range of M is (0, N); detecting the inclination of the second longitudinal bracket (400) by a first inclination sensor (410) on the second longitudinal bracket (400) to obtain first inclination data; confirming whether longitudinal deformation occurs in the non-curve area according to the first inclination data; Randomly selecting W first transverse brackets (500) from D first transverse brackets (500) as second transverse brackets (500), wherein the first transverse brackets (500) are transverse brackets (500) in the non-curved area, D is the total number of the first transverse brackets (500), and W is a natural number, and the value range of W is (0, D); detecting the inclination of the second transverse bracket (500) by a second inclination sensor (510) on the second transverse bracket (500) to obtain second inclination data; determining whether lateral deformation occurs in the non-curve area according to the second inclination data; detecting the inclination of the longitudinal bracket (400) by means of the first inclination sensor (410) on each longitudinal bracket (400) in the curve area, thereby obtaining third inclination data; determining whether longitudinal deformation occurs in the curved area according to the third inclination data; detecting the inclination of the transverse bracket (500) by the second inclination sensor (510) on each transverse bracket (500) in the curve area to obtain fourth inclination data; Whether lateral deformation occurs in the curve area is determined based on the fourth inclination data.
5. The railway monitoring method according to claim 4, characterized in that: The determining whether longitudinal deformation occurs in the non-curve area according to the first inclination data includes: Obtaining first initial inclination data, the first initial inclination data comprising an initial inclination of the second longitudinal bracket (400); Whether longitudinal deformation occurs in the non-curve area is determined based on the first inclination data and the first initial inclination data.
6. The railway monitoring method according to claim 4, characterized in that: The determining, based on the second inclination data, whether lateral deformation occurs in the non-curved area includes: Obtaining second initial inclination data, wherein the second initial inclination data includes an initial inclination of the second transverse bracket (500); Whether lateral deformation occurs in the non-curve area is determined based on the second inclination data and the second initial inclination data.
7. The railway monitoring method according to claim 4, characterized in that: The determining whether longitudinal deformation occurs in the curved area according to the third inclination data includes: Obtaining third initial inclination data, the third initial inclination data including initial inclination data of the longitudinal support (400) in the curve area; Whether longitudinal deformation occurs in the curve area is determined based on the third inclination data and the third initial inclination data.
8. The railway monitoring method according to claim 4, characterized in that: The determining, based on the fourth inclination data, whether lateral deformation occurs in the curved area includes: Obtaining fourth initial inclination data, the fourth initial inclination data including initial inclination data of the transverse support (500) in the curve area; Whether lateral deformation occurs in the curve area is determined based on the fourth inclination data and the fourth initial inclination data.
9. A computer-readable storage medium, characterized in that A processor-executable program is stored therein, and when the processor-executable program is executed by the processor, it is used to implement the railway monitoring method according to any one of claims 4 to 8.
Citation Information
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