Slope state detection method and device, computer equipment and storage medium

Abstract

The invention relates to a slope state detection method and device, computer equipment and a storage medium. The method comprises the steps of obtaining target image data of a preset position of a slope where a transformer substation is located at at least two moments; performing feature extraction on the target image data at the at least two moments to obtain image features corresponding to the target image data at each moment; wherein the image features comprise at least one of a slope crack, a slope position and a slope shape; image features corresponding to the target image data at all moments are compared, and image difference information is obtained; and determining a slope state detection result according to the image difference information. According to the scheme, feature extraction of image data and slope state detection can be automatically completed, and compared with manual inspection, the slope state detection efficiency is improved; and the slope state is analyzed according to the slope crack, the slope position and the slope shape, and more multi-dimensional features are introduced to determine the slope state, so that the determined slope state is more accurate.

Description

Technical Field

[0001] The present application relates to the field of electric power technology, and in particular to a slope status detection method, device, computer equipment and storage medium. Background Art

[0002] In the power system, substations are often built in areas with complex terrain and diverse geological conditions, which are often accompanied by challenges in slope stability. The stability of the slope is directly related to the safety and reliability of substation facilities. If the slope becomes unstable, it may directly damage the substation facilities.

[0003] In traditional technology, manual inspection is usually used to detect whether the slope is stable, which has the problem of low detection efficiency. Summary of the invention

[0004] Based on this, it is necessary to provide a slope state detection method, device, computer equipment and storage medium to improve the efficiency of slope stability detection in response to the above technical problems.

[0005] In a first aspect, the present application provides a slope state detection method, the method comprising:

[0006] Acquire target image data of a preset position of the slope at at least two moments; wherein the preset position is the location of the substation;

[0007] Performing feature extraction on target image data at at least two moments to obtain image features corresponding to the target image data at each moment; wherein the image features include slope cracks, slope positions and slope shapes;

[0008] Compare the image features corresponding to the target image data at each moment to obtain image difference information;

[0009] The slope state detection result is determined according to the image difference information.

[0010] In one embodiment, comparing the image features corresponding to the target image data at each moment to obtain the image difference information includes:

[0011] The image features corresponding to the target image data at adjacent moments are compared to obtain image difference information.

[0012] In one embodiment, comparing the image features corresponding to the target image data at adjacent moments to obtain the image difference information includes:

[0013] Compare the slope cracks, slope positions and slope shapes in the image features at adjacent moments respectively to obtain slope crack difference information, slope displacement difference information and slope deformation difference information;

[0014] The slope crack difference information, the slope displacement difference information and the slope deformation difference information are used as the image difference information.

[0015] In one embodiment, determining the slope state detection result according to the image difference information includes:

[0016] If at least one of the slope crack difference information, the slope displacement difference information and the slope deformation difference information exceeds a preset difference threshold, it is determined that the slope state detection result is abnormal.

[0017] In one embodiment, the method further comprises:

[0018] Acquire environmental data corresponding to the preset location within a preset time period; wherein the environmental data includes weather data and terrain data;

[0019] A construction plan for the substation is determined based on the environmental data and the slope status detection result.

[0020] In one embodiment, determining the construction plan of the substation according to the environmental data and the slope state detection result includes:

[0021] If the state detection result is normal, determining the construction plan of the substation as allowing construction under the environmental data;

[0022] If the status detection result is abnormal, the construction plan of the substation is determined to be not allowed to be constructed under the environmental data.

[0023] In a second aspect, the present application also provides a slope state detection device, the device comprising:

[0024] An acquisition module, used to acquire target image data of a preset position of the slope at at least two moments; wherein the preset position is the location of the substation;

[0025] A feature extraction module is used to extract features from target image data at at least two moments to obtain image features corresponding to the target image data at each moment; wherein the image features include slope cracks, slope positions and slope shapes;

[0026] A comparison module, used to compare the image features corresponding to the target image data at each moment to obtain image difference information;

[0027] The determination module is used to determine the slope state detection result according to the image difference information.

[0028] In a third aspect, the present application further provides a computer device, the computer device comprising a memory and a processor, the memory storing a computer program, and the processor implementing the following steps when executing the computer program:

[0029] Acquire target image data of a preset position of the slope at at least two moments; wherein the preset position is the location of the substation;

[0030] Performing feature extraction on target image data at at least two moments to obtain image features corresponding to the target image data at each moment; wherein the image features include slope cracks, slope positions and slope shapes;

[0031] Compare the image features corresponding to the target image data at each moment to obtain image difference information;

[0032] The slope state detection result is determined according to the image difference information.

[0033] In a fourth aspect, the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the following steps are implemented:

[0034] Acquire target image data of a preset position of the slope at at least two moments; wherein the preset position is the location of the substation;

[0035] Performing feature extraction on target image data at at least two moments to obtain image features corresponding to the target image data at each moment; wherein the image features include slope cracks, slope positions and slope shapes;

[0036] Compare the image features corresponding to the target image data at each moment to obtain image difference information;

[0037] The slope state detection result is determined according to the image difference information.

[0038] In a fifth aspect, the present application further provides a computer program product, the computer program product comprising a computer program, which implements the following steps when executed by a processor:

[0039] Acquire target image data of a preset position of the slope at at least two moments; wherein the preset position is the location of the substation;

[0040] Performing feature extraction on target image data at at least two moments to obtain image features corresponding to the target image data at each moment; wherein the image features include slope cracks, slope positions and slope shapes;

[0041] Compare the image features corresponding to the target image data at each moment to obtain image difference information;

[0042] The slope state detection result is determined according to the image difference information.

[0043] The above-mentioned slope state detection method, device, computer equipment and storage medium obtain the target image data of the preset position of the slope where the substation is located at at least two moments; and perform feature extraction on the target image data at at least two moments to obtain the image features corresponding to the target image data at each moment; wherein the image features include at least one of slope cracks, slope position and slope shape; and then compare the image features corresponding to the target image data at each moment to obtain image difference information; and determine the slope state detection result based on the image difference information. The above-mentioned scheme can automatically complete the feature extraction of image data and slope state detection, which improves the efficiency of slope state detection compared to manual inspection; and analyzes the slope state based on slope cracks, slope position and slope shape, and introduces more dimensional features to determine the slope state, so that the determined slope state is more accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 A schematic diagram of a process of detecting a slope state in one embodiment;

[0045] Figure 2 A schematic diagram of a process for obtaining image difference information in one embodiment;

[0046] Figure 3 A schematic diagram of a process for determining a construction plan of a substation in an embodiment;

[0047] Figure 4 A schematic diagram of a flow chart of another slope state detection method in one embodiment;

[0048] Figure 5 is a structural block diagram of a slope state detection device in one embodiment;

[0049] Figure 6 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0050] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0051] The slope state detection method provided in the embodiment of the present application can be applied to detect the slope state of the substation construction location, and when the slope state is determined to be abnormal, the on-duty personnel are notified to ensure the stable operation of the substation. The method provided in the embodiment of the present application can be executed by a server or by a terminal with a certain computing power.

[0052] The server may be implemented as an independent server or a server cluster composed of multiple servers. The terminal may be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, IoT devices and portable wearable devices. IoT devices may be smart speakers, smart TVs, smart air conditioners, smart car-mounted devices, etc. Portable wearable devices may be smart watches, smart bracelets, head-mounted devices, etc.

[0053] In one embodiment, Figure 1 As shown, a slope state detection method is provided, which is described by taking the application of the method to a server as an example, and includes the following steps:

[0054] S101, obtaining target image data of a preset position of a slope at at least two moments.

[0055] For example, substations are usually located in areas with complex terrain and diverse geological conditions, which are often accompanied by challenges in slope stability. Therefore, a high-definition camera can be installed in advance at a location that can effectively monitor the state of the slope, and the shooting frequency can be set to capture target image data at a preset location on the slope.

[0056] For example, the shooting frequency may be set to shoot once every hour, and the target image data shot at at least two times is transmitted to the server via a wireless communication network, wherein the preset location is the location of the substation.

[0057] S102, performing feature extraction on target image data at at least two moments to obtain image features corresponding to the target image data at each moment.

[0058] Furthermore, an image processing algorithm may be used to extract features from target image data at at least two moments to obtain image features corresponding to the target image data at each moment, wherein the image features include slope cracks, slope positions and slope shapes.

[0059] Optionally, the target image data may be input into a neural network model for feature extraction to obtain image features corresponding to the target image data at each moment.

[0060] S103, comparing the image features corresponding to the target image data at each moment to obtain image difference information.

[0061] Furthermore, an image processing algorithm can also be used to compare the image features corresponding to the target image data at each moment to obtain image difference information. A neural network model can also be used to compare the image features corresponding to the target image data at each moment obtained based on feature extraction to obtain image difference information. The image difference information may include pixel differences of the image, and then the differences in the position, cracks, shape, etc. of the slope in the image can be determined based on the pixel differences of the image.

[0062] S104: Determine the slope state detection result according to the image difference information.

[0063] Then, the slope state detection result can be determined based on the image difference information. For example, the image difference information can reflect the state change of the slope, for example, it can reflect the size of the cracks in the slope, the position change of the slope, or whether the shape has changed. Then, the reflected slope state change can be compared with the crack size, slope position and shape of the normal state of the slope. If they are consistent, it can be determined that the slope state is normal. If they are inconsistent, it can be determined that the slope state is abnormal. In the case of determining that the slope state is abnormal, an abnormal alarm can be issued to prompt the on-duty personnel so that the on-duty personnel can take timely countermeasures to ensure the stable operation of the substation.

[0064] The above slope state detection method obtains the target image data of the preset position of the slope where the substation is located at at least two moments; and extracts the features of the target image data at at least two moments to obtain the image features corresponding to the target image data at each moment; wherein the image features include at least one of slope cracks, slope position and slope shape; and then compares the image features corresponding to the target image data at each moment to obtain image difference information; and determines the slope state detection result based on the image difference information. The above scheme can automatically complete the feature extraction of image data and slope state detection, which improves the efficiency of slope state detection compared to manual inspection; and analyzes the slope state based on slope cracks, slope position and slope shape, and introduces more dimensional features to determine the slope state, so that the determined slope state is more accurate.

[0065] In some optional implementations, in the above embodiment, S103 compares the image features corresponding to the target image data at each moment to obtain the image difference information, which can be specifically implemented in the following manner:

[0066] The image features corresponding to the target image data at adjacent moments are compared to obtain image difference information.

[0067] Exemplarily, the difference between the image data at adjacent moments can reflect the most direct changes in the slope, and thus, by comparing the image features corresponding to the target image data at adjacent moments, the image difference information obtained can more accurately reflect the changes in the slope. For example, by comparing the image features corresponding to the target image data at adjacent moments, the changes in the cracks in the slope, the changes in the position of the slope, or the changes in the shape of the slope can be obtained, and the changes in the slope can be captured more quickly and directly, and then the image difference information can be obtained by comparing the image features corresponding to the target image data at adjacent moments to determine the slope state detection result, so that the slope detection result is more timely and more accurate.

[0068] Further, see Figure 2 , Figure 2 A schematic diagram of a process for obtaining image difference information is provided. In the above embodiment, image features corresponding to target image data at adjacent moments are compared to obtain image difference information, which specifically includes the following steps:

[0069] S201, respectively comparing the slope cracks, slope positions and slope shapes in the image features at adjacent moments to obtain slope crack difference information, slope displacement difference information and slope deformation difference information.

[0070] Exemplarily, the slope cracks in the image features at adjacent moments can be compared to obtain slope crack difference information; the slope positions in the image features at adjacent moments can be compared to obtain slope displacement difference information; and the slope shapes in the image features at adjacent moments can be compared to obtain slope deformation difference information.

[0071] S202, taking the slope crack difference information, the slope displacement difference information and the slope deformation difference information as image difference information.

[0072] For example, the slope crack difference information, slope displacement difference information and slope deformation difference information can be used as image difference information. Then, it can be determined whether the slope has severe soil erosion or landslide according to the slope crack difference information, slope displacement difference information and slope deformation difference information.

[0073] In the embodiment of the present application, slope cracks, slope positions and slope shapes in the image features at adjacent moments are compared respectively to obtain slope crack difference information, slope displacement difference information and slope deformation difference information, and to obtain image difference information, so that the obtained image difference information has more dimensional difference information, so as to facilitate a more comprehensive analysis of the state of the slope, and make the slope state detection result more reliable.

[0074] In some optional implementations, in the above embodiment, S104 determines the slope state detection result according to the image difference information, which can be specifically implemented in the following manner:

[0075] If at least one of the slope crack difference information, the slope displacement difference information and the slope deformation difference information exceeds a preset difference threshold, the slope state detection result is determined to be abnormal.

[0076] For example, the preset difference threshold corresponding to the crack, the preset difference threshold corresponding to the displacement, and the preset difference threshold corresponding to the deformation can be determined according to the crack critical value, displacement critical value, and deformation critical value of the abnormality such as landslide on the slope. When any one of the slope crack difference information, the slope displacement difference information, and the slope deformation difference information exceeds the preset difference threshold, the slope state detection result can be determined to be abnormal.

[0077] In the embodiment of the present application, by setting a preset difference threshold and comparing the image difference information with the preset difference threshold, if any one of the slope crack difference information, slope displacement difference information and slope deformation difference information exceeds the preset difference threshold, the slope state detection result is determined to be abnormal. The influence of the difference information of each dimension on the slope state can be taken into account, thereby making the determined slope state detection result more reliable.

[0078] In some optional implementations, it is possible to determine whether an abnormality will occur on the slope based on the slope status detection results and weather data, which can then be used to guide the construction strategy of subsequent substations.

[0079] For example, see Figure 3 , Figure 3 A schematic diagram of a process for determining a construction plan for a substation is provided, which specifically includes the following steps:

[0080] S301, obtaining environmental data corresponding to a preset location within a preset time period.

[0081] Exemplarily, the preset position is the slope position where the substation is located, so that the environmental data corresponding to the preset position within the preset time period can be obtained. The environmental data may include weather data and terrain data. For example, the weather data corresponding to the preset position within the preset time period can be obtained in the meteorological station, such as rainfall, sunshine intensity data, wind direction and wind speed data, etc. The terrain data corresponding to the preset position within the preset time period can be measured by surveying equipment, for example, it may include data such as altitude, geological data, slope data and vegetation coverage. The preset time period can be determined according to the historical duration of the slope state change. For example, the slope state may usually change in a quarter or a year, so the preset time period can be set to a quarter or a year.

[0082] S302, determining a substation construction plan based on environmental data and slope status detection results.

[0083] Furthermore, based on the environmental data and slope status detection results, it can be determined whether the slope will experience abnormalities such as landslides and soil erosion under the weather data and terrain data. Then, the substation can be built under environmental data where abnormalities such as landslides and soil erosion will not occur, so as to achieve stable operation of the substation as much as possible.

[0084] In an embodiment of the present application, by obtaining the environmental data corresponding to the slope location where the substation is constructed within a preset time period, and combining the environmental data with the slope status detection results, guidance can be provided for the future construction of substations to ensure the stable operation of the substation as much as possible.

[0085] Furthermore, in the above embodiment, S302 determines the construction plan of the substation according to the environmental data and the slope state detection result, which can be specifically implemented in the following ways:

[0086] For example, if the status detection result is normal, it means that under the weather data and terrain data, abnormal phenomena such as landslides will not usually occur on the slope. Therefore, the construction plan of the substation can be determined to allow construction under the environmental data; that is, the substation can be built under climatic conditions and terrain similar to the environmental data, so as to ensure the stable operation of the substation as much as possible.

[0087] For example, if the status detection result is abnormal, it means that under the weather data and terrain data, abnormal phenomena such as landslides may occur on the slopes. Therefore, the construction plan of the substation can be determined as not allowing construction under the environmental data, that is, try to avoid building substations under climatic conditions and terrains similar to the environmental data, so as to avoid the substation from being unable to operate normally due to abnormalities such as landslides on the slopes.

[0088] In the embodiment of the present application, it is allowed to build a substation under environmental data corresponding to normal status detection results, and it is avoided as much as possible to build a substation under environmental data corresponding to abnormal status detection results, so as to ensure the stable operation of the substation as much as possible.

[0089] In some optional implementations, see Figure 4 , Figure 4 A flow chart of another slope state detection method is provided, which specifically includes the following steps:

[0090] S401, obtaining target image data of a preset position of a slope at at least two moments.

[0091] S402, performing feature extraction on target image data at at least two moments to obtain image features corresponding to the target image data at each moment.

[0092] S403, respectively comparing the slope cracks, slope positions and slope shapes in the image features at adjacent moments to obtain slope crack difference information, slope displacement difference information and slope deformation difference information.

[0093] S404, taking the slope crack difference information, the slope displacement difference information and the slope deformation difference information as image difference information.

[0094] S405: Determine the slope state detection result according to the image difference information.

[0095] S406, obtaining environmental data corresponding to a preset location within a preset time period.

[0096] S407, determining a substation construction plan based on environmental data and slope status detection results.

[0097] The specific process of S401 to S407 can refer to the description of the above method embodiment, and its implementation principle and technical effect are similar, which will not be repeated here.

[0098] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0099] Based on the same inventive concept, the embodiment of the present application also provides a slope state detection device for implementing the slope state detection method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more slope state detection device embodiments provided below can refer to the limitations of the slope state detection method above, and will not be repeated here.

[0100] In one embodiment, Figure 5 As shown, a slope state detection device is provided, comprising:

[0101] The acquisition module 10 is used to acquire target image data of a preset position of the slope at at least two moments; wherein the preset position is the location of the substation;

[0102] The feature extraction module 20 is used to extract features from the target image data at at least two moments to obtain image features corresponding to the target image data at each moment; wherein the image features include slope cracks, slope positions and slope shapes;

[0103] A comparison module 30, used to compare the image features corresponding to the target image data at each moment to obtain image difference information;

[0104] The determination module 40 is used to determine the slope state detection result according to the image difference information.

[0105] The above-mentioned slope state detection device obtains the target image data of the preset position of the slope where the substation is located at at least two moments; and performs feature extraction on the target image data at at least two moments to obtain the image features corresponding to the target image data at each moment; wherein the image features include at least one of slope cracks, slope position and slope shape; and then compares the image features corresponding to the target image data at each moment to obtain image difference information; and determines the slope state detection result according to the image difference information. The above-mentioned scheme can automatically complete the feature extraction of image data and slope state detection, which improves the efficiency of slope state detection compared with manual inspection; and analyzes the slope state according to the slope cracks, slope position and slope shape, and introduces more dimensional features to determine the slope state, so that the determined slope state is more accurate.

[0106] In one embodiment, the comparison module 30 is specifically used for:

[0107] The image features corresponding to the target image data at adjacent moments are compared to obtain image difference information.

[0108] In one embodiment, the comparison module 30 specifically includes:

[0109] A comparison unit is used to compare the slope cracks, slope positions and slope shapes in the image features at adjacent moments, respectively, to obtain slope crack difference information, slope displacement difference information and slope deformation difference information;

[0110] The determination unit is used to use the slope crack difference information, the slope displacement difference information and the slope deformation difference information as image difference information.

[0111] In one embodiment, the determination module 40 is specifically configured to:

[0112] If at least one of the slope crack difference information, the slope displacement difference information and the slope deformation difference information exceeds a preset difference threshold, the slope state detection result is determined to be abnormal.

[0113] In one embodiment, the acquisition module 10 is further used to acquire environmental data corresponding to a preset location within a preset time period; wherein the environmental data includes weather data and terrain data;

[0114] The determination module 40 is also used to determine the construction plan of the substation according to the environmental data and the slope status detection results.

[0115] In one embodiment, the determination module 40 is specifically configured to:

[0116] If the status detection result is normal, the construction plan of the substation is determined as allowing construction under the environmental data; if the status detection result is abnormal, the construction plan of the substation is determined as not allowing construction under the environmental data.

[0117] Each module in the above slope state detection device can be implemented in whole or in part by software, hardware and their combination. Each module can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the corresponding operations of each module.

[0118] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 6 As shown. The computer device includes a processor, a memory and a network interface connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store image data of the slope. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a slope state detection method is implemented.

[0119] Those skilled in the art will understand that Figure 6 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0120] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0121] Acquire target image data of a preset position of the slope at at least two moments; wherein the preset position is the location of the substation;

[0122] Performing feature extraction on target image data at at least two moments to obtain image features corresponding to the target image data at each moment; wherein the image features include slope cracks, slope positions and slope shapes;

[0123] Compare the image features corresponding to the target image data at each moment to obtain image difference information;

[0124] The slope status detection result is determined based on the image difference information.

[0125] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0126] The image features corresponding to the target image data at adjacent moments are compared to obtain image difference information.

[0127] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0128] The slope cracks, slope positions and slope shapes in the image features at adjacent moments are compared respectively to obtain slope crack difference information, slope displacement difference information and slope deformation difference information; the slope crack difference information, slope displacement difference information and slope deformation difference information are used as image difference information.

[0129] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0130] If at least one of the slope crack difference information, the slope displacement difference information and the slope deformation difference information exceeds a preset difference threshold, the slope state detection result is determined to be abnormal.

[0131] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0132] Obtain environmental data corresponding to a preset location within a preset time period; wherein the environmental data includes weather data and terrain data; and determine a construction plan for a substation based on the environmental data and slope status detection results.

[0133] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0134] If the status detection result is normal, the construction plan of the substation is determined as allowing construction under the environmental data; if the status detection result is abnormal, the construction plan of the substation is determined as not allowing construction under the environmental data.

[0135] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0136] Acquire target image data of a preset position of the slope at at least two moments; wherein the preset position is the location of the substation;

[0137] Performing feature extraction on target image data at at least two moments to obtain image features corresponding to the target image data at each moment; wherein the image features include slope cracks, slope positions and slope shapes;

[0138] Compare the image features corresponding to the target image data at each moment to obtain image difference information;

[0139] The slope status detection result is determined based on the image difference information.

[0140] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0141] The image features corresponding to the target image data at adjacent moments are compared to obtain image difference information.

[0142] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0143] The slope cracks, slope positions and slope shapes in the image features at adjacent moments are compared respectively to obtain slope crack difference information, slope displacement difference information and slope deformation difference information; the slope crack difference information, slope displacement difference information and slope deformation difference information are used as image difference information.

[0144] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0145] If at least one of the slope crack difference information, the slope displacement difference information and the slope deformation difference information exceeds a preset difference threshold, the slope state detection result is determined to be abnormal.

[0146] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0147] Obtain environmental data corresponding to a preset location within a preset time period; wherein the environmental data includes weather data and terrain data; and determine a construction plan for a substation based on the environmental data and slope status detection results.

[0148] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0149] If the status detection result is normal, the construction plan of the substation is determined as allowing construction under the environmental data; if the status detection result is abnormal, the construction plan of the substation is determined as not allowing construction under the environmental data.

[0150] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

[0151] Acquire target image data of a preset position of the slope at at least two moments; wherein the preset position is the location of the substation;

[0152] Performing feature extraction on target image data at at least two moments to obtain image features corresponding to the target image data at each moment; wherein the image features include slope cracks, slope positions and slope shapes;

[0153] Compare the image features corresponding to the target image data at each moment to obtain image difference information;

[0154] The slope status detection result is determined based on the image difference information.

[0155] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0156] The image features corresponding to the target image data at adjacent moments are compared to obtain image difference information.

[0157] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0158] The slope cracks, slope positions and slope shapes in the image features at adjacent moments are compared respectively to obtain slope crack difference information, slope displacement difference information and slope deformation difference information; the slope crack difference information, slope displacement difference information and slope deformation difference information are used as image difference information.

[0159] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0160] If at least one of the slope crack difference information, the slope displacement difference information and the slope deformation difference information exceeds a preset difference threshold, the slope state detection result is determined to be abnormal.

[0161] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0162] Obtain environmental data corresponding to a preset location within a preset time period; wherein the environmental data includes weather data and terrain data; and determine a construction plan for a substation based on the environmental data and slope status detection results.

[0163] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0164] If the status detection result is normal, the construction plan of the substation is determined as allowing construction under the environmental data; if the status detection result is abnormal, the construction plan of the substation is determined as not allowing construction under the environmental data.

[0165] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0166] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0167] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0168] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A slope state detection method, characterized in that: The method comprises: Acquire target image data of a preset position of the slope at at least two moments; wherein the preset position is the location of the substation; Performing feature extraction on target image data at at least two moments to obtain image features corresponding to the target image data at each moment; wherein the image features include slope cracks, slope positions and slope shapes; Compare the image features corresponding to the target image data at each moment to obtain image difference information; The slope state detection result is determined according to the image difference information.

2. The method according to claim 1, characterized in that The comparing the image features corresponding to the target image data at each moment to obtain image difference information includes: The image features corresponding to the target image data at adjacent moments are compared to obtain image difference information.

3. The method according to claim 2, characterized in that The comparing the image features corresponding to the target image data at adjacent moments to obtain image difference information includes: Compare the slope cracks, slope positions and slope shapes in the image features at adjacent moments respectively to obtain slope crack difference information, slope displacement difference information and slope deformation difference information; The slope crack difference information, the slope displacement difference information and the slope deformation difference information are used as the image difference information.

4. The method according to claim 3, characterized in that Determining the slope state detection result according to the image difference information includes: If at least one of the slope crack difference information, the slope displacement difference information and the slope deformation difference information exceeds a preset difference threshold, it is determined that the slope state detection result is abnormal.

5. The method according to claim 1, characterized in that: The method further comprises: Acquire environmental data corresponding to the preset location within a preset time period; wherein the environmental data includes weather data and terrain data; A construction plan for the substation is determined based on the environmental data and the slope status detection result.

6. The method according to claim 5, characterized in that Determining the construction plan of the substation according to the environmental data and the slope state detection result includes: If the state detection result is normal, determining the construction plan of the substation as allowing construction under the environmental data; If the status detection result is abnormal, the construction plan of the substation is determined to be not allowed to be constructed under the environmental data.

7. A slope state detection device, characterized in that: The device comprises: An acquisition module, used to acquire target image data of a preset position of the slope at at least two moments; wherein the preset position is the location of the substation; A feature extraction module is used to extract features from target image data at at least two moments to obtain image features corresponding to the target image data at each moment; wherein the image features include slope cracks, slope positions and slope shapes; A comparison module, used to compare the image features corresponding to the target image data at each moment to obtain image difference information; The determination module is used to determine the slope state detection result according to the image difference information.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

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

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

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