A method and device for determining a specific slope warning of a railway and an electronic device

Abstract

The application provides a railway specific slope early warning determination method, device and electronic equipment. The railway specific slope early warning determination method comprises the following steps: obtaining a target image of a specific slope area of a railway to be detected, wherein a warning marker is arranged on the specific slope area; identifying at least one target warning marker from the target image based on a target identification model; comparing state display information of the target warning marker with preset warning marker state display information to determine a real-time state of the target warning marker; and determining whether to give a warning to the specific slope area of the railway to be detected. The application can make the monitoring of the specific slope area of the railway to be detected not affected by terrain conditions, and can give an alarm in the case of specific slope abnormalities, thereby improving the monitoring efficiency, reducing the monitoring cost, reducing the complexity of installation and construction, and improving the use rate of monitoring.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of geological disaster monitoring, in particular to a railway specific slope early warning determination method and device and electronic equipment. BACKGROUND

[0002] With the development of society, the railway is a carrier with a high usage rate for long-distance travel of people, and has a high usage rate. In the process of building a railway, under natural conditions, due to factors such as lithology and geological structure of the mountain slope, geological appearance, and hydrology and rainfall conditions, the slope often suffers various damages, such as collapse, landslide, and slope displacement caused by slope instability. The damage of these slope damages is extremely great. When the terrain is steep, the rock-soil body of the mountain is relatively soft or broken, and especially in places where there are many rock cracks in the downhill direction, the slope is prone to mountain landslide or mountain collapse and other damages. Such conditions not only cause casualties and property losses within a certain range, but also pose a serious threat to nearby road traffic.

[0003] In the prior art, there are railway accidents caused by mountain landslide and debris flow on both conventional speed railways and high-speed railways, which are caused by secondary disasters such as mountain or debris flow invading the railway clearance, and the invading objects on the tracks seriously affect the safety of train operation. Therefore, the protection, monitoring, and early warning of the railway slope are very important. In the prior art, a large number of measurement sensors are usually used to monitor the railway slope in real time. However, the slope detection cost in the prior art is high, and the installation and construction are complex. The point distribution is affected by the terrain conditions, and cannot be relocated and reused. SUMMARY

[0004] Therefore, the purpose of the present application is to provide a railway specific slope early warning determination method and device and electronic equipment, which can monitor the specific slope area of the railway to be detected without being affected by the terrain conditions, and issue an alarm in the case of abnormal specific slope, thereby improving the monitoring efficiency, reducing the monitoring cost, and improving the monitoring usage rate.

[0005] The railway specific slope early warning determination method provided in the present application comprises:

[0006] acquiring a target image of a specific slope area of a railway to be detected, wherein a warning marker is arranged on the specific slope area;

[0007] identifying at least one target warning marker from the target image based on a target recognition model;

[0008] comparing the state display information of the target warning marker with preset warning marker state display information to determine a real-time state of the target warning marker; the real-time state is used to represent whether the form of the target warning marker is abnormal;

[0009] based on the real-time state of the target warning marker, determining whether to issue a warning to a specific slope region of the railway to be detected.

[0010] Further, the state display information of the target warning marker includes a target number of the target warning marker, and the preset warning marker state display information includes a preset number of preset warning markers. The comparison of the state display information of the target warning marker with preset warning marker state display information to determine a real-time state of the target warning marker includes:

[0011] comparing the target number of the target warning marker with the preset number of the preset warning marker to determine whether the target number is consistent with the preset number;

[0012] if consistent, it is determined that the real-time state of the target warning marker is normal;

[0013] if not consistent, it is determined that the real-time state of the target warning marker is abnormal.

[0014] Further, the state display information of the target warning marker includes target color state display information of the target warning marker, and the preset warning marker state display information includes preset color state display information of preset warning markers. The comparison of the state display information of the target warning marker with preset warning marker state display information to determine a real-time state of the target warning marker, wherein the real-time state is used to represent whether the form of the target warning marker is abnormal, includes:

[0015] comparing the target color state display information of the target warning marker with the preset color state display information of the preset warning marker to determine a target environment safety level corresponding to the target color state display information;

[0016] based on the target environment safety level, determining the real-time state of the target warning marker.

[0017] Further, the determination of the real-time state of the target warning marker based on the target environment safety level includes:

[0018] if the target environment safety level is level one, it is determined that the real-time state of the target warning marker is a safe state;

[0019] If the target environment safety level is level two, the real-time state of the target warning marker is determined as a pre-warning state;

[0020] If the target environment safety level is level three, the real-time state of the target warning marker is determined as a warning state.

[0021] Further, the specific slope area of the to-be-detected railway includes a tunnel entrance area, a public-cross-railway bridge area, and a key disaster prevention area.

[0022] The embodiment of the present application further provides a railway specific slope pre-warning determination device, which comprises:

[0023] An acquisition module is configured to acquire a target image of a specific slope area of a to-be-detected railway, wherein a warning marker is arranged on the specific slope area;

[0024] An identification module is configured to identify at least one target warning marker from the target image based on a target identification model;

[0025] A first determination module is configured to compare state display information of the target warning marker with preset warning marker state display information, and determine a real-time state of the target warning marker; the real-time state is used to represent whether the form of the target warning marker is abnormal or not;

[0026] A second determination module is configured to determine whether to pre-warn the specific slope area of the to-be-detected railway based on the real-time state of the target warning marker.

[0027] Further, the state display information of the target warning marker comprises a target number of the target warning marker, and the preset warning marker state display information comprises a preset number of preset warning markers, and the first determination module is specifically configured to:

[0028] compare the target number of the target warning marker with the preset number of the preset warning marker, and determine whether the target number is consistent with the preset number;

[0029] If yes, it is determined that the real-time state of the target warning marker is normal;

[0030] If no, it is determined that the real-time state of the target warning marker is abnormal.

[0031] Further, the state display information of the target warning marker comprises target color state display information of the target warning marker, and the preset warning marker state display information comprises preset color state display information of preset warning markers, and the first determination module is specifically configured to:

[0032] compare the target color state display information of the target warning marker with preset color state display information of a preset warning marker to determine a target environment safety level corresponding to the target color state display information;

[0033] determine a real-time state of the target warning marker based on the target environment safety level.

[0034] The embodiment of the present application also provides an electronic device, comprising a processor, a memory and a bus, the memory stores machine readable instructions executable by the processor, when the electronic device is running, the processor and the memory communicate through the bus, and the machine readable instructions are executed by the processor to perform the steps of the railway specific slope early warning determination method.

[0035] The embodiment of the present application also provides a computer readable storage medium, the computer readable storage medium stores a computer program, and the computer program is executed by the processor to perform the steps of the railway specific slope early warning determination method.

[0036] The railway specific slope early warning determination method, device and electronic device provided by the embodiment of the present application, compared with the prior art, the embodiment of the present application compares at least one target warning marker determined from a target recognition model with preset warning marker state display information, determines a real-time state of the target warning marker, and determines whether to give a warning to a specific slope area of a railway to be detected based on the real-time state of the target warning marker, which can make the monitoring of the specific slope area of the railway to be detected not affected by the terrain condition, and give an alarm in the case of a specific slope anomaly, improve the monitoring efficiency, reduce the monitoring cost, reduce the complexity of installation and construction, and improve the use rate of monitoring.

[0037] In order to make the above objectives, characteristics and advantages of the present application more apparent, clear and easy to understand, the following preferred embodiments are specifically described below, and the accompanying drawings are referred to for detailed description. BRIEF DESCRIPTION OF DRAWINGS

[0038] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments. It should be understood that the following drawings only show some embodiments of the present application, and therefore should not be regarded as a limitation to the scope. For those skilled in the art, other related drawings can also be obtained without creative labor on the basis of these drawings.

[0039] Figure 1 Fig. 1 shows one of the flowcharts of the railway specific slope early warning determination method provided by the embodiment of the present application;

[0040] Figure 2 Fig. 2 shows a flowchart of a method for determining a railway-specific slope early warning according to an embodiment of the present application;

[0041] Figure 3 Fig. 3 shows a flowchart of a method for determining a railway-specific slope early warning according to an embodiment of the present application;

[0042] Figure 4 Fig. 4 shows a structural schematic diagram of a device for determining a railway-specific slope early warning according to an embodiment of the present application;

[0043] Figure 5 Fig. 5 shows a structural schematic diagram of an electronic device according to an embodiment of the present application.

[0044] In the drawings:

[0045] 400 - a device for determining a railway-specific slope early warning; 410 - an acquisition module; 420 - an identification module; 430 - a first determination module; 440 - a second determination module; 500 - an electronic device; 510 - a processor; 520 - a memory; 530 - a bus. DETAILED DESCRIPTION

[0046] In order to make the objectives, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application described and shown in the drawings herein can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the claimed present application, but only represents selected embodiments of the present application. Based on the embodiments of the present application, every other embodiment obtained by a person skilled in the art without creative work falls within the scope of the present application.

[0047] First, the application scenarios applicable to the present application are introduced. The present application can be applied to the technical field of geological disaster monitoring.

[0048] It is found through research that in the prior art, there are railway accidents caused by landslides and debris flows on both conventional railways and high-speed railways, which are secondary disasters caused by strong rainfall, such as objects such as landslides or debris flows invading the railway clearance, and the invading objects seriously affect the safety of train operation on the tracks, so it is very important to protect, monitor and warn the railway slope. In the prior art, a large number of measurement sensors are usually used to monitor the railway slope in real time, but the slope detection cost in the prior art is high, and the installation and construction are complex, the point distribution is affected by the terrain conditions, and it cannot be relocated and reused.

[0049] And in the prior art, the conventional slope deformation monitoring instrument is usually used to monitor and measure the railway slope in real time, wherein the measuring instrument (sensor) includes but is not limited to the conventional measuring sensor such as the theodolite, the level, the range finder and the total station, and the deformation value of the measuring point is determined, and the deformation state of the whole deformation can be provided, which can be applied to different monitoring accuracy requirements, different forms of deformation body and different detection environments, and can provide absolute deformation information.

[0050] Here, the total station, i.e. the electronic total station, is a high-tech measuring instrument integrating light, machine and electricity, and is a surveying and mapping instrument system integrating horizontal angle, vertical angle, distance (slope distance, horizontal distance) and height difference measurement functions. Compared with the optical theodolite, the electronic theodolite replaces the optical scale with the photoelectric scanning scale, and replaces the manual optical micro-measuring reading with automatic recording and display reading, which simplifies the angle measurement operation and avoids the generation of reading errors. Because all the measurement work at the station can be completed by placing the instrument once, it is called total station.

[0051] And in the prior art, special measurement means are used to monitor the special slope area, wherein the special measurement means include stress-strain measurement, collimation measurement and inclination measurement, etc. However, the cost of the special measurement means is high, the installation and construction are complex, and the special measurement means cannot be moved and reused, which does not have the conditions for large-scale popularization and application, and can only provide local and deformation information. The field work of the conventional slope monitoring instrument is large, and it is not easy to realize automatic monitoring.

[0052] Based on this, the embodiment of the present application provides a railway specific slope early warning determination method, which can make the monitoring of the specific slope area of the railway to be detected not affected by the terrain conditions, and issue an alarm in the case of abnormal specific slope, improve the monitoring efficiency, reduce the monitoring cost, reduce the complexity of installation and construction, and improve the use rate of monitoring.

[0053] Please refer to Figure 1 , Figure 1 The flowchart of the railway specific slope early warning determination method provided by the embodiment of the present application is shown in the figure. Figure 1 The railway specific slope early warning determination method provided by the embodiment of the present application includes the following steps:

[0054] S101, acquiring a target image of a specific slope area of a railway to be detected, wherein a warning marker is arranged on the specific slope area.

[0055] The specific slope region of the to-be-detected railway includes a tunnel entrance region, a public-cross-railway bridge region, and a key disaster prevention region. After the specific slope region of the to-be-detected railway is determined, a target image of the specific slope region of the to-be-detected railway is acquired.

[0056] Here, the warning markers are arranged on the specific slope region, and the external state of the warning markers can be customized according to different application scenarios. For example, the warning markers in the embodiments provided in the present application can be set as reflective columns with different colors.

[0057] Here, the video acquisition device is deployed in the specific slope region such as a tunnel entrance, a public-cross-railway bridge, and a key disaster prevention region, to realize full coverage control of on-site operation and acquisition of the target image.

[0058] The video acquisition device can be customized and selected according to different application scenarios. For example, the video acquisition device can be set as a single camera device or a panoramic camera device in the embodiments provided in the present application.

[0059] Here, the distribution and layout of the warning markers in the specific slope region of the to-be-detected railway can be customized according to different application scenarios. For example, the distribution and layout of the warning markers in the specific slope region of the to-be-detected railway are set according to the probability and experience value of disaster occurrence in the specific slope region of the to-be-detected railway in the embodiments provided in the present application.

[0060] S102, identifying at least one target warning marker from the target image based on a target recognition model.

[0061] The target recognition model is used to represent a target recognition model trained based on an object detection technology of deep learning. In the embodiments provided in the present application, the target recognition model is used to represent a trained warning marker attribute recognition model based on a sample image of a railway slope region. According to the target recognition model and the target image of the specific slope region of the to-be-detected railway, at least one target warning marker in the target image is determined.

[0062] Here, the number of target warning markers is positively correlated with the probability and experience value of disaster occurrence in the specific slope region of the to-be-detected railway.

[0063] Here, the trained warning marker attribute recognition model is determined in the following manner:

[0064] A sample image of a railway slope region and a sample label of the sample image are acquired. The sample label of the sample image is used to represent state display information of a real sample warning marker of the sample image.

[0065] inputting the sample image into an initial neural network model for training to determine predicted state display information of a sample warning marker corresponding to the sample image.

[0066] When the loss value between the predicted state display information and the real state display information is less than a preset threshold, the training is stopped, and a trained warning marker attribute recognition model, i.e., a target recognition model, is determined.

[0067] S103, comparing the state display information of the target warning marker with preset warning marker state display information to determine a real-time state of the target warning marker; the real-time state is used to represent whether a morphology of the target warning marker is abnormal.

[0068] In this step, the state display information of the target warning marker (such as target number of the target warning marker and / or target color state display information of the target warning marker) is compared with preset warning marker state display information (such as preset number of the preset warning marker and / or preset color state display information of the preset warning marker) to determine a current real-time state of the target warning marker. If the current real-time state of the target warning marker is greatly different from a preset normal state of the target warning marker, it is indicated that the morphology of the target warning marker is abnormal.

[0069] Here, the environmental abnormality corresponding to the abnormal morphology of the target warning marker includes but is not limited to mudslides or water level collapse.

[0070] S104, determining whether to perform early warning on a specific slope region of the railway to be detected based on the real-time state of the target warning marker.

[0071] In this step, if the real-time state of the target warning marker is determined as a normal state, early warning is not needed for the specific slope region of the railway to be detected; if the real-time state of the target warning marker is determined as an abnormal state, early warning is needed for the specific slope region of the railway to be detected.

[0072] Here, the early warning mode for the specific slope region of the railway to be detected includes but is not limited to sound and light early warning, voice early warning, and sound and light and voice combined early warning.

[0073] The method for determining the specific slope warning of a railway provided by the embodiment of the present application can compare the at least one target warning marker determined from the target identification model with the preset warning marker state display information, determine the real-time state of the target warning marker, and determine whether to give a warning to the specific slope area of the railway to be detected based on the real-time state of the target warning marker, so that the monitoring of the specific slope area of the railway to be detected is not affected by the terrain condition, and an alarm is given in the case of specific slope abnormality, thereby improving the monitoring efficiency, reducing the monitoring cost, reducing the complexity of installation and construction, and improving the use rate of monitoring.

[0074] Please refer to Figure 2 , Figure 2 FIG. 2 is a flowchart of a method for determining the specific slope warning of a railway provided by an embodiment of the present application. Figure 2 The method for determining the specific slope warning of a railway provided by the embodiment of the present application includes the following steps:

[0075] S201, a target image of a specific slope area of a railway to be detected is acquired, wherein a warning marker is arranged on the specific slope area.

[0076] S202, a target image of a specific slope area of a railway to be detected is acquired, wherein a warning marker is arranged on the specific slope area.

[0077] S203, the target number of the target warning marker is compared with the preset number information of the preset warning marker to determine whether the target number is consistent with the preset number.

[0078] In this step, the state display information of the target warning marker includes the target number of the target warning marker, and the preset warning marker state display information includes the preset number of the preset warning marker.

[0079] Here, the target number of the target warning marker is compared with the preset number information of the preset warning marker. Assuming that the preset number information of the preset warning marker is that the number of the preset warning marker (with a reflective strip) in the target image of the specific slope area of the railway to be detected is 10, when the actual number of the preset warning marker (with a reflective strip) in the target image of the specific slope area of the railway to be detected is less than 10, an alarm is given, and if the actual number of the preset warning marker (with a reflective strip) in the target image of the specific slope area of the railway to be detected is equal to 10, no alarm is given.

[0080] S204, if consistent, determining that the real-time state of the target warning marker is normal; otherwise, determining that the real-time state of the target warning marker is abnormal.

[0081] S205, determining whether to give a warning to the specific slope region of the railway to be detected based on the real-time state of the target warning marker.

[0082] In the description of S201 to S202 and S205, the description of S101 to S102 and S103 can be referred to, and the same technical effects can be achieved, and details are not repeated.

[0083] The railway specific slope warning determination method provided by the embodiment of the present application can compare at least one target warning marker determined from the target recognition model with the preset warning marker state display information, determine the real-time state of the target warning marker, and determine whether to give a warning to the specific slope region of the railway to be detected based on the real-time state of the target warning marker, so that the monitoring of the specific slope region of the railway to be detected is not affected by the terrain condition, and an alarm is given in the case of abnormal specific slope, the monitoring efficiency is improved, the monitoring cost is reduced, the complexity of installation and construction is reduced, and the use rate of monitoring is improved.

[0084] Please refer to Figure 3 , Figure 3 A flowchart of a railway specific slope warning determination method provided by an embodiment of the present application is shown in FIG. 3. Figure 3 The railway specific slope warning determination method provided by the embodiment of the present application includes the following steps:

[0085] S301, obtaining a target image of a specific slope region of a railway to be detected, wherein a warning marker is arranged on the specific slope region.

[0086] S302, identifying at least one target warning marker from the target image based on a target recognition model.

[0087] S303, comparing target color state display information of the target warning marker with preset color state display information of a preset warning marker, and determining a target environment safety level corresponding to the target color state display information.

[0088] In this step, the state display information of the target warning marker includes target color state display information of the target warning marker, and the preset warning marker state display information includes preset color state display information of a preset warning marker.

[0089] Here, the preset color state display information of the preset warning marker can be customized and adjusted according to different application scenarios. For example, in the embodiments provided in the present application, when the reflective tape can only see red, the target environment safety level is level three; when the reflective tape can see yellow, the target environment safety level is level two; and when the reflective tape can see green, the target environment safety level is level one.

[0090] In the above, when a natural disaster such as a mudslide or a landslide or a flood occurs, the target warning marker is usually in a collapsed state or a partially or completely submerged state due to the destruction of these external forces. At this time, the detection and identification of the reflective tape on the target warning marker can determine the target environment safety level.

[0091] Among them, the real-time state of the target warning marker is determined based on the target environment safety level, including:

[0092] If the target environment safety level is level one, the real-time state of the target warning marker is determined to be a safe state.

[0093] If the target environment safety level is level two, the real-time state of the target warning marker is determined to be a warning state.

[0094] If the target environment safety level is level three, the real-time state of the target warning marker is determined to be an alarm state.

[0095] Here, when the target environment safety level is level three, a warning indication is issued to ensure that the unpredictable specific slope collapse risk is blocked in the first time to prevent the hidden danger from escalating.

[0096] S304, determining the real-time state of the target warning marker based on the target environment safety level.

[0097] In this step, different target environment safety levels represent different real-time states of the target warning marker, and at the same time represent the safety state of the specific slope area of the railway to be detected.

[0098] S305, determining whether to issue a warning to the specific slope area of the railway to be detected based on the real-time state of the target warning marker.

[0099] Among them, the description of S301 to S302 and S305 can refer to the description of S101 to S102 and S103, and the same technical effects can be achieved, and will not be repeated here.

[0100] The method for determining railway specific slope early warning provided by the embodiment of the present application can compare the at least one target warning marker determined from the target recognition model with the preset warning marker state display information, determine the real-time state of the target warning marker, and determine whether to give early warning to the specific slope region of the railway to be detected based on the real-time state of the target warning marker, so that the monitoring of the specific slope region of the railway to be detected is not affected by the terrain condition, and an alarm is given in the case of specific slope abnormality, thereby improving the monitoring efficiency, reducing the monitoring cost, reducing the complexity of installation and construction, and improving the use rate of monitoring.

[0101] Please refer to Figure 4 , Figure 4 The structure diagram of a railway specific slope early warning determination device provided by the embodiment of the present application is shown in FIG. 4. Figure 4 The railway specific slope early warning determination device 400 includes:

[0102] The acquisition module 410 is configured to acquire a target image of a specific slope region of a railway to be detected, wherein a warning marker is arranged on the specific slope region.

[0103] Further, the specific slope region of the railway to be detected includes a tunnel entrance region, a public-cross-railway bridge region, and a key disaster prevention region.

[0104] The recognition module 420 is configured to recognize at least one target warning marker from the target image based on a target recognition model.

[0105] The first determination module 430 is configured to compare the state display information of the target warning marker with preset warning marker state display information, and determine the real-time state of the target warning marker; the real-time state is used to represent whether the form of the target warning marker is abnormal.

[0106] Optionally, the state display information of the target warning marker includes a target number of the target warning marker, and the preset warning marker state display information includes a preset number of preset warning markers, and the first determination module 430 is specifically configured to:

[0107] compare the target number of the target warning marker with the preset number of the preset warning marker, and determine whether the target number is consistent with the preset number.

[0108] If yes, it is determined that the real-time state of the target warning marker is normal.

[0109] If no, it is determined that the real-time state of the target warning marker is abnormal.

[0110] Optionally, the state display information of the target warning marker includes target color state display information of the target warning marker, and the preset warning marker state display information includes preset color state display information of the preset warning marker. The first determination module 430 is specifically used for:

[0111] comparing the target color state display information of the target warning marker with the preset color state display information of the preset warning marker to determine a target environment safety level corresponding to the target color state display information.

[0112] determining a real-time state of the target warning marker based on the target environment safety level.

[0113] Further, the determination of the real-time state of the target warning marker based on the target environment safety level includes:

[0114] if the target environment safety level is level one, determining that the real-time state of the target warning marker is a safe state.

[0115] if the target environment safety level is level two, determining that the real-time state of the target warning marker is a pre-warning state.

[0116] if the target environment safety level is level three, determining that the real-time state of the target warning marker is an alarm state.

[0117] The second determination module 440 is configured to determine whether to pre-warn the specific slope area of the railway to be detected based on the real-time state of the target warning marker.

[0118] The railway specific slope pre-warning determination apparatus 400 provided by the embodiments of the present application can compare at least one target warning marker determined from a target recognition model with preset warning marker state display information, determine a real-time state of the target warning marker, and determine whether to pre-warn a specific slope area of a railway to be detected based on the real-time state of the target warning marker, so that the monitoring of the specific slope area of the railway to be detected is not affected by terrain conditions, and an alarm can be sent in the case of a specific slope anomaly, thereby improving the monitoring efficiency, reducing the monitoring cost, reducing the complexity of installation and construction, and improving the use rate of the monitoring.

[0119] Please refer to Figure 5 , Figure 5 is a structural schematic diagram of an electronic device provided by the embodiments of the present application. As shown in Figure 5 , the electronic device 500 includes a processor 510, a memory 520, and a bus 530.

[0120] The memory 520 stores machine readable instructions executable by the processor 510, when the electronic device 500 is running, the processor 510 and the memory 520 communicate through the bus 530, the machine readable instructions are executed by the processor 510, can execute the steps of determining the railway specific slope early warning in the method embodiment as described above Figures 1 to 3 The specific implementation of the steps of determining the railway specific slope early warning in the method embodiment as described above can be referred to the method embodiment, which will not be repeated here.

[0121] The embodiment of the application further provides a computer readable storage medium, the computer readable storage medium stores a computer program, the computer program is run by the processor, and the computer program can execute the steps of determining the railway specific slope early warning in the method embodiment as described above Figures 1 to 3 The specific implementation of the steps of determining the railway specific slope early warning in the method embodiment as described above can be referred to the method embodiment, which will not be repeated here.

[0122] The skilled in the art can clearly understand that, for the convenience and brevity of the description, the specific working process of the system, device and unit described above can refer to the corresponding process in the foregoing method embodiment, which will not be repeated here.

[0123] In several embodiments provided in the application, it should be understood that the disclosed system, device and method can be implemented by other ways.The device embodiments described above are only schematic, for example, the division of the units is only a logical function division, and actual implementation can have another division manner, and for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed.In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some communication interfaces, devices or units, and can be electrical, mechanical or other forms.

[0124] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, that is, they can be located in one place, or can be distributed on a plurality of network units.According to actual needs, part or all of the units can be selected to achieve the purpose of the embodiment.

[0125] In addition, the functional units in each embodiment of the application can be integrated in one processing unit, or each unit can be physically present, or two or more units can be integrated in one unit.

[0126] If the functions are realized in the form of software function units and sold or used as independent products, they can be stored in a nonvolatile computer readable storage medium executable by a processor. Based on this understanding, the technical solutions of the present application essentially or the parts of the prior art that make contributions or parts of the technical solutions can be embodied in the form of software products. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in the embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (Read-Only Memory, ROM), a random access memory (Random Access Memory, RAM), a magnetic disk or an optical disk, and various media that can store program codes.

[0127] Finally, it should be noted that: the above-described embodiments are only specific embodiments of the present application, which are used to illustrate the technical solutions of the present application, but not to limit them. The protection scope of the present application is not limited thereto. Although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can make modifications or easily think of changes to the technical solutions described in the foregoing embodiments within the technical scope disclosed by the present application, or make equivalent replacements to some of the technical features. The modifications, changes or replacements do not make the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for determining a railway specific slope warning, characterized in that, The method for determining the railway specific slope early warning comprises: acquiring a target image of a specific slope region of a railway to be detected, wherein a warning marker is arranged on the specific slope region; the warning marker is a reflective column with different colors arranged according to the probability and experience value of disaster occurring in the specific slope region of the railway to be detected; identifying at least one target warning marker from the target image based on a target identification model; the number of the target warning markers is positively correlated with the probability and experience value of disaster occurring in the specific slope region of the railway to be detected; comparing state display information of the target warning marker with preset warning marker state display information to determine a real-time state of the target warning marker; the real-time state is used to represent whether the form of the target warning marker is abnormal; determining whether to perform early warning on the specific slope region of the railway to be detected based on the real-time state of the target warning marker; wherein the state display information of the target warning marker comprises target color state display information of the target warning marker, and the preset warning marker state display information comprises preset color state display information of a preset warning marker; the comparison of the state display information of the target warning marker with the preset warning marker state display information to determine the real-time state of the target warning marker comprises: comparing the target color state display information of the target warning marker with the preset color state display information of the preset warning marker to determine a target environment safety level corresponding to the target color state display information; determining the real-time state of the target warning marker based on the target environment safety level.

2. The method of claim 1, wherein, The state display information of the target warning marker comprises a target number of the target warning marker, and the preset warning marker state display information comprises a preset number of a preset warning marker; the comparison of the state display information of the target warning marker with the preset warning marker state display information to determine the real-time state of the target warning marker comprises: comparing the target number of the target warning marker with the preset number of the preset warning marker to determine whether the target number is consistent with the preset number; if consistent, determining that the real-time state of the target warning marker is normal; if not consistent, determining that the real-time state of the target warning marker is abnormal.

3. The method of claim 1, wherein, The determination of the real-time state of the target warning marker based on the target environment safety level comprises: if the target environment safety level is level one, determining that the real-time state of the target warning marker is a safety state; if the target environment safety level is level two, determining that the real-time state of the target warning marker is a pre-warning state; if the target environment safety level is level three, determining that the real-time state of the target warning marker is an alarm state.

4. The method of claim 1, wherein, The specific slope region of the railway to be detected comprises a tunnel entrance region, a public-cross-railway bridge region, and a key disaster prevention region.

5. A device for determining a railway specific slope warning, characterized in that The device for determining the railway specific slope early warning comprises: The acquisition module is configured to acquire a target image of a specific slope region of a railway to be detected, wherein the specific slope region is provided with warning markers; the warning markers are reflective columns with different colors arranged according to a probability and an experience value of disasters occurring in the specific slope region of the railway to be detected. The identification module is configured to identify at least one target warning marker from the target image based on a target identification model; the number of the target warning markers is positively correlated with the probability and the experience value of disasters occurring in the specific slope region of the railway to be detected. The first determination module is configured to compare state display information of the target warning marker with preset warning marker state display information, and determine a real-time state of the target warning marker; the real-time state is used to represent whether a form of the target warning marker is abnormal. The second determination module is configured to determine whether to perform early warning on the specific slope region of the railway to be detected based on the real-time state of the target warning marker. The state display information of the target warning marker includes target color state display information of the target warning marker, and the preset warning marker state display information includes preset color state display information of a preset warning marker; the first determination module is specifically configured to: compare the target color state display information of the target warning marker with the preset color state display information of the preset warning marker, and determine a target environment safety level corresponding to the target color state display information; and determine the real-time state of the target warning marker based on the target environment safety level.

6. The railway specific slope pre-warning determination device according to claim 5, wherein, The state display information of the target warning marker includes a target number of the target warning marker, and the preset warning marker state display information includes a preset number of preset warning markers; the first determination module is specifically configured to: compare the target number of the target warning marker with the preset number of the preset warning markers, and determine whether the target number is consistent with the preset number; if yes, it is determined that the real-time state of the target warning marker is normal; and if no, it is determined that the real-time state of the target warning marker is abnormal. The electronic device includes a processor, a memory and a bus; the memory stores machine readable instructions executable by the processor; when the electronic device is running, the processor and the memory communicate through the bus; and the machine readable instructions are executed by the processor to perform steps of the railway specific slope early warning determination method according to any one of claims 1-4. The computer readable storage medium stores a computer program; and the computer program is executed by the processor to perform steps of the railway specific slope early warning determination method according to any one of claims 1-4.

7. An electronic device, comprising: ​ ​ 8. A computer-readable storage medium, characterized in that, ​

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