Road slope protection method for bearing photovoltaic module and related device

Abstract

The invention discloses a protection method for a road slope bearing a photovoltaic module and a related device, and relates to the technical field of road slope protection, and the method comprises the steps: determining the maximum safe precipitation borne by the slope based on slope form data, underground water conditions and a stratum structure; the maximum safe wind speed borne by the slope is determined based on the basic mechanical property and the environmental data of the soil body; according to the maximum safe precipitation and the maximum safe wind speed, on the basis of the environment prediction data, slope protection in a preset time period is judged; if any one of the conditions that the precipitation amount in the preset time period is larger than the maximum safe precipitation amount or the wind speed in the preset time period is larger than the maximum safe wind speed is met, a slope protection task instruction is generated, and effective and safe maintenance can be conducted on the remote mountainous area road slope bearing the photovoltaic module.

Description

Technical Field

[0001] The present application relates to the technical field of highway slope protection, and in particular to a highway slope protection method and related devices that carry photovoltaic modules. Background Art

[0002] The slope area along the highway is large, and there are many slopes in many mountain service areas. The slope surface can be used to improve the utilization rate of solar radiation, and direct solar radiation can be used to convert light energy into electrical energy. The existing scheme for building photovoltaic modules on the slopes of highways is: using lightweight PERC shingled modules and large-span high-bracket flexible systems to lay out and install solar photovoltaic power generation systems on the slopes along the highway or in mountain service areas. The existing highway slope protection schemes are mainly: a highway slope protection system, whose structure includes a slope protection surface layer, a landfill layer, a template, a sand and gravel layer, a fixed plate, a support column, a stabilization layer, a support rod, a connecting shaft, and a connecting rod. Fixed plates and stabilizing layers are buried inside the foundation pit set up on the slope of the highway, and gravel layers are buried on top of the two. Stepped templates are used to fix the gravel layers. The support columns are connected with the templates and fixed plates to strengthen the basic construction of the slope. The stabilizing layer is set at the adjacent construction position of the slope and the highway. The support rods, connecting rods and connecting shafts cooperate with each other, and the basic construction of the highway is used to strengthen the basic construction of the slope, so as to strengthen the protection of the highway slope.

[0003] However, the existing solutions do not involve the protection of photovoltaic modules. In addition, since photovoltaic modules may be placed on the slopes of roads in service areas in remote mountainous areas, the existing solutions cannot provide effective safety maintenance. Summary of the invention

[0004] The purpose of this application is to provide a method and related device for protecting the road slopes carrying photovoltaic modules, which can effectively and safely maintain the road slopes in remote mountainous areas that carry photovoltaic modules.

[0005] To achieve the above objectives, this application provides the following solutions: In a first aspect, the present application provides a method for protecting a highway slope carrying photovoltaic modules, comprising: Obtain basic data, environmental data and environmental prediction data for the highway slopes in the target area; the basic data include slope morphology data, stratum structure, groundwater conditions and basic mechanical properties of soil; the environmental data include real-time images of photovoltaic modules and images of cables at preset positions; the environmental prediction data include precipitation and wind speed within a preset time period.

[0006] Based on slope morphology data, groundwater conditions and geological structure, the maximum safe precipitation that the highway slopes in the target area can withstand is determined.

[0007] Based on the basic mechanical properties of soil and environmental data, the maximum safe wind speed that the highway slopes in the target area can withstand is determined.

[0008] According to the maximum safe precipitation and the maximum safe wind speed, based on environmental prediction data, a judgment is made on the protection of the highway slopes in the target area within a preset time period.

[0009] If any of the following conditions is met: the precipitation within the preset time period is greater than the maximum safe precipitation or the wind speed within the preset time period is greater than the maximum safe wind speed, a slope protection task instruction is generated.

[0010] Optionally, the method for determining whether the wind speed within a preset time period is greater than the maximum safe wind speed specifically includes: Based on the real-time image of the photovoltaic module, determine whether the photovoltaic module is displaced.

[0011] If displacement occurs, it is determined that the wind speed within the preset time period is greater than the maximum safe wind speed.

[0012] Optionally, the method for determining whether the wind speed within a preset time period is greater than the maximum safe wind speed specifically includes: Determine whether there is cable loss based on the cable image at the preset position.

[0013] If the cable is lost, it is determined that the wind speed within the preset time period is greater than the maximum safe wind speed.

[0014] Optionally, the basic mechanical properties of the soil include: soil type, soil density, soil water content, soil internal friction angle and soil cohesion.

[0015] Optionally, based on the slope morphology data, groundwater conditions and stratum structure, the maximum safe precipitation that the highway slope in the target area can withstand is determined, specifically including: The slope model is established based on slope morphology data, groundwater conditions and stratum structure.

[0016] According to the slope model, the slope stability analysis method is used to simulate different precipitation amounts to determine the maximum safe precipitation that the highway slope in the target area can withstand.

[0017] Optionally, based on the basic mechanical properties of the soil and environmental data, determine the maximum safe wind speed that the highway slope in the target area can withstand, including: Based on the basic mechanical properties of slope soil, the maximum allowable stress that the slope can withstand is determined.

[0018] Based on the size, shape and installation angle of the PV modules on the slope, the wind load of the PV modules under different wind speeds is determined.

[0019] The wind speed corresponding to the wind load equal to the maximum allowable stress is determined as the maximum safe wind speed that the highway slope in the target area can withstand.

[0020] In a second aspect, the present application provides a highway slope protection device carrying a photovoltaic module, the highway slope protection device comprising: The data acquisition module is used to obtain basic data, environmental data and environmental prediction data of the highway slope in the target area; the basic data includes slope morphology data, stratum structure, groundwater conditions and basic mechanical properties of soil; the environmental data includes real-time images of photovoltaic modules and images of cables at preset positions; the environmental prediction data includes precipitation and wind speed within a preset time period.

[0021] The first safety detection module is used to determine the maximum safe precipitation that the highway slope in the target area can withstand based on the slope morphology data, groundwater conditions and stratum structure.

[0022] The second safety detection module is used to determine the maximum safe wind speed that the highway slope in the target area can withstand based on the basic mechanical properties of the soil and environmental data.

[0023] The protection judgment module is used to judge the protection of the highway slope in the target area within a preset time period based on the maximum safe precipitation and the maximum safe wind speed and the environmental prediction data.

[0024] If any of the following conditions is met: the precipitation within the preset time period is greater than the maximum safe precipitation or the wind speed within the preset time period is greater than the maximum safe wind speed, a slope protection task instruction is generated.

[0025] In a third aspect, the present application provides a computer device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement any of the above-mentioned methods for protecting a highway slope carrying photovoltaic components.

[0026] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any of the above-mentioned methods for protecting a highway slope carrying photovoltaic components.

[0027] In a fifth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements any of the above-mentioned methods for protecting a highway slope carrying photovoltaic components.

[0028] According to the specific embodiments provided in this application, this application discloses the following technical effects: The present application provides a method and related device for protecting a highway slope carrying photovoltaic modules. In the method, by obtaining basic data of the highway slope in the target area, such as slope morphology data, stratum structure, groundwater conditions and basic mechanical properties of soil, this information provides a basis for evaluating the stability and bearing capacity of the slope. Secondly, in combination with environmental data, including real-time images of photovoltaic modules and cable images at preset positions, the operating status of photovoltaic modules can be monitored in real time, and then by obtaining environmental prediction data, such as precipitation and wind speed in a preset time period, the environmental pressure that the slope may face in the future can be predicted. Based on the above data, the method can determine the maximum safe precipitation and maximum safe wind speed that the highway slope in the target area can withstand. When the environmental prediction data indicates that the precipitation or wind speed in the preset time period may exceed these safety thresholds, a slope protection task instruction is generated to ensure the safety of the slope and photovoltaic modules. Based on the method of the present application, the safety maintenance of highway slopes in remote mountainous areas can be made more accurate and efficient. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0030] Figure 1 This is a diagram of the application environment of a method for protecting a highway slope carrying photovoltaic modules in one embodiment of the present application.

[0031] Figure 2 A schematic flow chart of a method for protecting a highway slope carrying photovoltaic modules provided in accordance with an embodiment of the present application.

[0032] Figure 3 A schematic diagram of the functional modules of a highway slope protection device carrying photovoltaic modules provided in one embodiment of the present application.

[0033] Figure 4 A schematic diagram of the structure of a computer device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0034] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0035] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0036] The method for protecting a highway slope carrying photovoltaic modules provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown, the terminal 102 communicates with the server 104 through a network. The data storage system can store data that the server 104 needs to process. The data storage system can be set up separately, integrated on the server 104, or placed on the cloud or other servers. The terminal 102 may send the basic data, environmental data and environmental prediction data of the target area highway slope to be processed to the server 104. After receiving the basic data, environmental data and environmental prediction data of the target area highway slope to be processed, the server 104 determines the maximum safe precipitation that the target area highway slope can withstand based on the slope morphology data, groundwater conditions and stratum structure; determines the maximum safe wind speed that the target area highway slope can withstand based on the basic mechanical properties of the soil and environmental data; judges the protection of the target area highway slope within a preset time period based on the maximum safe precipitation and the maximum safe wind speed and the environmental prediction data; generates a slope protection task instruction if any of the following conditions is met: the precipitation within the preset time period is greater than the maximum safe precipitation or the wind speed within the preset time period is greater than the maximum safe wind speed. The server 104 may feed back the obtained slope protection task instruction to the terminal 102. In addition, in some embodiments, the method for protecting a highway slope carrying photovoltaic modules may also be implemented independently by the server 104 or the terminal 102. For example, the terminal 102 may directly perform data processing on the basic data, environmental data, and environmental prediction data of the highway slope in the target area to be processed, or the server 104 may obtain the basic data, environmental data, and environmental prediction data of the highway slope in the target area to be processed from the data storage system, and perform data processing on the basic data, environmental data, and environmental prediction data of the highway slope in the target area to be processed.

[0037] The terminal 102 may be, but is not limited to, various desktop computers, laptop computers, smart phones, tablet computers, IoT devices, and portable wearable devices. The IoT devices may be smart speakers, smart TVs, smart air conditioners, smart vehicle-mounted devices, etc. The portable wearable devices may be smart watches, smart bracelets, head-mounted devices, etc. The server 104 may be implemented as an independent server or a server cluster consisting of multiple servers, or may be a cloud server.

[0038] In an exemplary embodiment, Figure 2As shown, a method for protecting a highway slope carrying photovoltaic modules is provided. The method is executed by a computer device, and can be executed by a computer device such as a terminal or a server alone, or by a terminal and a server together. In the embodiment of the present application, the method is applied to Figure 1 The server 104 in the example is used as an example to illustrate the method, which includes the following steps 201 to 204. Among them: Step 201, obtaining basic data, environmental data and environmental prediction data of the highway slope in the target area; the basic data includes slope morphology data, stratum structure, groundwater conditions and basic mechanical properties of soil; the environmental data includes real-time images of photovoltaic modules and images of cables at preset positions; the environmental prediction data includes precipitation and wind speed within a preset time period.

[0039] Step 202, based on the slope morphology data, groundwater conditions and stratum structure, determine the maximum safe precipitation that the highway slope in the target area can withstand.

[0040] Step 203, based on the basic mechanical properties of the soil and environmental data, determine the maximum safe wind speed that the highway slope in the target area can withstand.

[0041] Step 204 , judging the protection of the highway slope in the target area within a preset time period according to the maximum safe precipitation and the maximum safe wind speed based on the environmental prediction data.

[0042] If any of the following conditions is met: the precipitation within the preset time period is greater than the maximum safe precipitation or the wind speed within the preset time period is greater than the maximum safe wind speed, a slope protection task instruction is generated.

[0043] In an exemplary embodiment, when executing step 201, the specific steps may be as follows: The basic data obtained include at least: slope morphology data, stratum structure, groundwater conditions, and basic mechanical properties of soil; among them, the environmental data include at least: real-time images of photovoltaic modules and images of cables at preset positions.

[0044] The basic data of highway slopes can be obtained specifically by: uploading slope morphology data, stratum structure, and groundwater conditions through an actual investigation upload terminal; uploading basic mechanical properties of soil through a laboratory upload terminal; wherein the basic mechanical properties of soil include at least: soil type, soil density, soil water content, soil internal friction angle, and soil cohesion.

[0045] Specifically, to obtain the specific technical means of slope morphology data, stratum structure, groundwater conditions, and basic data, environmental data, and environmental prediction data of highway slopes in the target area, the following methods can be used: 1) Slope morphology data: On-site measurement and observation: By installing measuring instruments and equipment, such as total stations, GPS, 3D laser scanners, etc., high-precision measurements are performed on the slopes to obtain the geometric parameters and morphological data of the slopes.

[0046] Remote sensing image analysis: Using high-resolution image data such as satellite images and drone aerial photos, combined with GIS technology, slope morphology is identified and extracted, a slope database is established, and spatial data analysis and visualization are realized.

[0047] 2) Stratigraphic structure: Geological exploration: Through drilling, pit exploration and other geological exploration methods, direct information on stratum lithology is obtained to understand the composition and distribution of the stratum structure.

[0048] Collect historical geological data: Integrate and analyze historical geological maps, geotechnical engineering survey reports and other literature materials to build a regional geological background knowledge base to provide a basis for the analysis of stratigraphic structure.

[0049] 3) Groundwater conditions: Hydrogeological survey: Through hydrogeological exploration, we can understand the occurrence conditions, movement patterns and water quality characteristics of groundwater, and provide basic data for the assessment of groundwater conditions.

[0050] Water level monitoring: Set up water level monitoring wells near the slope to monitor the changes in groundwater level in real time and analyze the impact of groundwater on slope stability.

[0051] 4) Basic mechanical properties of soil: Soil type: Soil samples are collected on site and sent to the laboratory for analysis. The soil type is determined by observing the soil particle shape, color, organic matter content and other characteristics under a microscope and combining soil classification standards.

[0052] Soil density: In the laboratory, soil density is determined using the knife ring method or the pycnometer method. Fill a knife ring or pycnometer of known volume with soil, weigh it, calculate the soil density, and upload the data through the laboratory upload terminal.

[0053] Soil moisture content: The drying method is used to determine soil moisture content. Take a certain amount of soil sample and dry it at 105°C to constant weight. By comparing the weight change of the soil before and after drying, calculate the soil moisture content and upload the data.

[0054] Soil internal friction angle, soil cohesion: The soil internal friction angle and cohesion are measured by direct shear test or triaxial test. The soil sample is placed in the test device, different shear forces are applied, the shear force and normal stress when the soil is sheared are recorded, the soil internal friction angle and cohesion are calculated, and the results are uploaded to the database.

[0055] In an exemplary embodiment, when executing steps 202-203, the specific steps may be as follows: Among them, based on the slope morphology data, groundwater conditions and stratum structure, the maximum safe precipitation that the highway slope in the target area can withstand is determined, which can be specifically: A slope model was established based on slope morphological data, groundwater conditions and stratum structure, and slope stability analysis methods were used to simulate different precipitation amounts to determine the maximum safe precipitation that the highway slopes in the target area could withstand.

[0056] Specifically, the specific process of establishing a slope model and using the slope stability analysis method to simulate different precipitation amounts to determine the maximum safe precipitation amount that the highway slope in the target area can withstand is as follows: First, the morphological data, groundwater conditions, stratum structure and basic mechanical properties of the road slope in the target area are collected. These data are the basis for establishing the slope model and conducting stability analysis.

[0057] Then, based on the collected data, use professional modeling software or tools such as GIS, CAD or finite element analysis software to build a three-dimensional model of the slope. The model should accurately reflect the morphology, stratum structure and groundwater conditions of the slope.

[0058] Next, select a suitable slope stability analysis method, such as limit equilibrium method, finite element method or discrete element method, etc. These methods can be used to evaluate the stability of the slope under different conditions.

[0059] The established slope model and the selected stability analysis method are used to simulate different precipitation levels. During the simulation, the effects of precipitation on the slope soil are considered, such as the increase in soil moisture, the increase in soil weight, and the decrease in soil shear strength.

[0060] By analyzing the simulation results, the stability of the slope under different precipitation levels is evaluated. By comparing the safety factor or displacement of the slope under different precipitation levels, the maximum safe precipitation that the slope can withstand is determined.

[0061] Finally, based on the analysis results, the maximum safe precipitation that the highway slope in the target area can withstand is determined. This value can be used to guide the design and maintenance of highway slopes to ensure the stability of the slopes under extreme precipitation conditions.

[0062] Among them, based on the basic mechanical properties of soil and photovoltaic modules, the maximum safe wind speed that the highway slope in the target area can withstand is determined, which can be specifically: Based on the basic mechanical properties of the slope soil, the maximum allowable stress that the slope can withstand is determined; based on the size, shape, and installation angle of the photovoltaic modules on the slope, the wind load of the modules under different wind speeds is determined; the wind speed corresponding to the wind load equal to the maximum allowable stress is determined as the maximum safe wind speed that the highway slopes in the target area can withstand.

[0063] The specific calculation process is as follows: 1) Determine the maximum allowable stress based on the basic mechanical properties of the slope soil: First, it is necessary to collect data on the basic mechanical properties of the slope soil, including but not limited to the shear strength, compressive strength, elastic modulus, etc. These data can be obtained through laboratory tests or in-situ tests. Then, the basic principles of soil mechanics, such as the Mohr-Coulomb strength theory, are used to calculate the stress distribution of the slope under the limit state. On this basis, combined with the slope stability analysis method, such as the limit equilibrium method or the finite element method, the maximum allowable stress that the slope can withstand is determined.

[0064] 2) Determine wind load based on PV module parameters: Collect the size, shape, installation angle and other parameters of the photovoltaic module. These parameters will directly affect the force of the module under the action of wind load. Use the basic principles of wind engineering to calculate the wind load on the module at different wind speeds. This usually requires considering factors such as air density, wind speed distribution, and the shape factor of the module. Through numerical calculation or wind tunnel testing, the wind load-wind speed relationship curve of the module at different wind speeds can be obtained.

[0065] 3) Determine the maximum safe wind speed: Combine the obtained maximum allowable stress with the obtained wind load-wind speed relationship curve. Find the wind load value corresponding to the maximum allowable stress on the curve, and then read the wind speed value corresponding to the wind load value.

[0066] This wind speed value is the maximum safe wind speed that the road slope in the target area can withstand after the photovoltaic modules are installed. In practical applications, it should be ensured that the photovoltaic modules on the slope can remain stable and safe under wind loads that do not exceed this wind speed.

[0067] In an exemplary embodiment, when executing step 204, the specific steps may be as follows: The method for judging whether the wind speed in a preset time period is greater than the maximum safe wind speed includes: Based on the real-time image of the photovoltaic module, determine whether the photovoltaic module is displaced.

[0068] If displacement occurs, it is determined that the wind speed within the preset time period is greater than the maximum safe wind speed.

[0069] The method for judging whether the wind speed in a preset time period is greater than the maximum safe wind speed includes: Determine whether there is cable loss based on the cable image at the preset position.

[0070] If the cable is lost, it is determined that the wind speed within the preset time period is greater than the maximum safe wind speed.

[0071] Specifically, the specific implementation method of determining whether there is cable loss according to the cable image at the preset position may follow the following steps: First, obtain images of the cables at the preset locations. This is usually done using a high-definition camera or other image acquisition device installed on site to ensure that the images are clear and accurately reflect the status of the cables.

[0072] Next, the acquired cable image is preprocessed. The preprocessing step may include image enhancement, denoising, grayscale conversion, etc., to improve the accuracy and efficiency of subsequent image processing.

[0073] The pre-processed cable images are then analyzed using image processing algorithms or deep learning models that can identify cable features in the image, such as the shape, color, texture, etc. of the cable, and determine whether the cable exists based on these features.

[0074] In the judgment process, certain thresholds or rules can be set. For example, if the continuity of the cable in the image is interrupted, or the pixel value of the cable area changes significantly, it may indicate that the cable is lost or damaged.

[0075] Finally, based on the image analysis results, a conclusion is drawn as to whether a cable is missing. If it is determined that a cable is missing, a corresponding alarm or notification mechanism is triggered so that timely measures can be taken to deal with it. At the same time, the judgment results and related image data can also be saved to the database for subsequent analysis and tracing.

[0076] This application takes mountain highway slope protection as an example for specific application scenarios: In a certain slope area of ​​a mountain highway, the basic data of the slope is first obtained, including the slope's morphological data (such as slope and height), stratum structure (such as rock type and soil stratification), groundwater conditions (such as water level and water flow velocity), and basic mechanical properties of the soil. At the same time, environmental data is also obtained, including real-time images of photovoltaic modules installed on the slope to monitor the status and safety of photovoltaic modules, and images of cables at preset locations to detect whether the cables are intact. In addition, environmental forecast data is also collected, including precipitation forecasts and wind speed forecasts for the next 24 hours.

[0077] Based on the acquired slope morphology data, groundwater conditions and stratum structure, the system uses professional geological analysis software to calculate the maximum safe precipitation that the slope can withstand without being damaged by external forces. This value is the critical value to ensure that the slope will not slide or collapse due to excessive precipitation.

[0078] The system combines the basic mechanical properties of the soil (such as compression and shear strength) and environmental data (the status of photovoltaic modules and cables) to determine the maximum safe wind speed that the slope can withstand without being affected by other external forces through wind tunnel test simulation and mechanical calculation. This wind speed value is used to determine the stability of the slope in strong wind weather.

[0079] The protection status of the slope is judged based on the calculated maximum safe precipitation and maximum safe wind speed, combined with the precipitation forecast and wind speed forecast for the next 24 hours. If either the predicted precipitation or wind speed exceeds the safe value that the slope can withstand, the system will immediately generate a slope protection task instruction, including but not limited to starting the drainage system, reinforcing the slope structure, lowering the height of the photovoltaic modules, or taking other necessary protective measures to ensure the stability and safety of the slope.

[0080] Based on the same inventive concept, the embodiment of the present application also provides a road slope protection device for implementing the road slope protection method for carrying photovoltaic modules 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 road slope protection device embodiments provided below can refer to the limitations of the road slope protection method for carrying photovoltaic modules above, and will not be repeated here.

[0081] In an exemplary embodiment, Figure 3 As shown, a highway slope protection device for carrying photovoltaic components is provided, comprising: The data acquisition module 301 is used to obtain basic data, environmental data and environmental prediction data of the highway slope in the target area; the basic data includes slope morphology data, stratum structure, groundwater conditions and basic mechanical properties of soil; the environmental data includes real-time images of photovoltaic modules and images of cables at preset positions; and the environmental prediction data includes precipitation and wind speed within a preset time period.

[0082] The first safety detection module 302 is used to determine the maximum safe precipitation that the highway slope in the target area can withstand based on the slope morphology data, groundwater conditions and stratum structure.

[0083] The second safety detection module 303 is used to determine the maximum safe wind speed that the highway slope in the target area can withstand based on the basic mechanical properties of the soil and environmental data.

[0084] The protection judgment module 304 is used to judge the protection of the highway slope in the target area within a preset time period according to the maximum safe precipitation and the maximum safe wind speed based on the environmental prediction data.

[0085] If any of the following conditions is met: the precipitation within the preset time period is greater than the maximum safe precipitation or the wind speed within the preset time period is greater than the maximum safe wind speed, a slope protection task instruction is generated.

[0086] In an exemplary embodiment, a computer device is provided. The computer device may be a server or a terminal. The internal structure diagram thereof may be as follows: Figure 4 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. 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 slope protection task instruction data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication 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 highway slope protection method carrying photovoltaic components is implemented.

[0087] Those skilled in the art will understand that Figure 4 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.

[0088] In an exemplary embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0089] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0090] In an exemplary embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0091] 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, and the collection, use and processing of relevant data must comply with relevant regulations.

[0092] 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. By way of illustration and not limitation, RAM may be in various forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM).

[0093] The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. 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 is not limited thereto.

[0094] 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.

[0095] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A method for protecting a highway slope carrying photovoltaic modules, characterized in that: The highway slope protection method comprises: Obtaining basic data, environmental data and environmental prediction data of the road slope in the target area; the basic data includes slope morphology data, stratum structure, groundwater conditions and basic mechanical properties of soil; environmental data includes real-time images of photovoltaic modules and images of cables at preset positions; environmental prediction data includes precipitation and wind speed within a preset time period; Determine the maximum safe precipitation that the highway slopes in the target area can withstand based on slope morphology data, groundwater conditions and stratum structure; Based on the basic mechanical properties of soil and environmental data, determine the maximum safe wind speed that the highway slope in the target area can withstand; According to the maximum safe precipitation and the maximum safe wind speed, based on environmental prediction data, the protection of the highway slope in the target area within a preset time period is judged; If any of the following conditions is met: the precipitation within the preset time period is greater than the maximum safe precipitation or the wind speed within the preset time period is greater than the maximum safe wind speed, a slope protection task instruction is generated.

2. A method for protecting a highway slope carrying photovoltaic modules according to claim 1, characterized in that: The method for judging whether the wind speed in a preset time period is greater than the maximum safe wind speed includes: Determine whether the photovoltaic module is displaced based on the real-time image of the photovoltaic module; If displacement occurs, it is determined that the wind speed within the preset time period is greater than the maximum safe wind speed.

3. A method for protecting a highway slope carrying photovoltaic modules according to claim 1, characterized in that: The method for judging whether the wind speed in a preset time period is greater than the maximum safe wind speed includes: Determine whether there is cable loss based on the cable image at the preset position; If the cable is lost, it is determined that the wind speed within the preset time period is greater than the maximum safe wind speed.

4. A method for protecting a highway slope carrying photovoltaic modules according to claim 1, characterized in that: The basic mechanical properties of the soil include: soil type, soil density, soil water content, soil internal friction angle and soil cohesion.

5. A method for protecting a highway slope carrying photovoltaic modules according to claim 1, characterized in that: Based on the slope morphology data, groundwater conditions and stratum structure, the maximum safe precipitation that the highway slopes in the target area can withstand is determined, including: Establish slope models based on slope morphology data, groundwater conditions and stratum structure; According to the slope model, the slope stability analysis method is used to simulate different precipitation amounts to determine the maximum safe precipitation that the highway slope in the target area can withstand.

6. A method for protecting a highway slope carrying photovoltaic modules according to claim 1, characterized in that: Based on the basic mechanical properties of soil and environmental data, the maximum safe wind speed that the highway slope in the target area can withstand is determined, including: Based on the basic mechanical properties of the slope soil, determine the maximum allowable stress that the slope can withstand; Determine the wind load of PV modules at different wind speeds based on the size, shape, and installation angle of the PV modules on the slope; The wind speed corresponding to the wind load equal to the maximum allowable stress is determined as the maximum safe wind speed that the highway slope in the target area can withstand.

7. A road slope protection device carrying photovoltaic modules, characterized in that: The highway slope protection device comprises: A data acquisition module is used to acquire basic data, environmental data and environmental prediction data of the road slope in the target area; the basic data includes slope morphology data, stratum structure, groundwater conditions and basic mechanical properties of soil; the environmental data includes real-time images of photovoltaic modules and images of cables at preset positions; the environmental prediction data includes precipitation and wind speed within a preset time period; The first safety detection module is used to determine the maximum safe precipitation that the highway slope in the target area can withstand based on the slope morphology data, groundwater conditions and stratum structure; The second safety detection module is used to determine the maximum safe wind speed that the highway slope in the target area can withstand based on the basic mechanical properties of the soil and environmental data; A protection judgment module, used to judge the protection of the highway slope in the target area within a preset time period according to the maximum safe precipitation and the maximum safe wind speed based on environmental prediction data; If any of the following conditions is met: the precipitation within the preset time period is greater than the maximum safe precipitation or the wind speed within the preset time period is greater than the maximum safe wind speed, a slope protection task instruction is generated.

8. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement a method for protecting a highway slope carrying photovoltaic components as described in any one of claims 1-6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, a method for protecting a highway slope carrying photovoltaic components according to any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, a method for protecting a highway slope carrying photovoltaic components according to any one of claims 1 to 6 is implemented.

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