Photovoltaic prestressed pipe pile operation monitoring and management method

Abstract

The invention relates to a photovoltaic prestressed pipe pile operation monitoring and management method, and belongs to the technical field of photovoltaic prestressed pipe pile operation, and the method comprises the steps: obtaining the final arrangement position of a photovoltaic prefabricated pipe pile, and arranging the photovoltaic prefabricated pipe pile according to the final arrangement position of the photovoltaic prefabricated pipe pile. And the underground water data is tracked through the underground water data tracking model, finally, the arrangement area of the abnormal photovoltaic prefabricated pipe pile is obtained through tracking, and early warning is conducted according to the arrangement area of the abnormal photovoltaic prefabricated pipe pile. According to the method, the groundwater data and the soil structure data of the target area are evaluated, so that the area where collapse possibly occurs and the area where corrosion easily occurs are obtained, the optimal arrangement position of the photovoltaic prefabricated pipe pile is selected, the reasonability of pipe pile arrangement is improved, the data change condition of the groundwater is monitored in time, and the construction efficiency is improved. Each arrangement position can be monitored and managed, and abnormity can be found in time.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic prestressed pipe pile operations, and in particular to a photovoltaic prestressed pipe pile operation monitoring and management method. Background Art

[0002] Solar energy is the only external energy source on earth that is inexhaustible and does not produce any pollution. The solar energy received by the earth accounts for only 0.3% of its total energy emitted, but this energy is very large. It is estimated that the solar radiation energy received by the earth every day is about 3.9×1024 joules, which is equivalent to burning 8.6 billion tons of oil, which is about 1 / 4 of the total oil reserves on the earth. The prospects for the development and utilization of solar energy are very broad, so some people say: "Solar energy is the energy of the future." Some people even say bluntly: "Solar energy is the new energy of the 21st century." Without changing the nature of land use and occupying land, the "photovoltaic + agriculture" model can not only save land resources, but also be conducive to the development of modern agriculture and supporting agriculture, so that farmers can earn more income. The concept of photovoltaic agriculture can achieve multiple uses of one land, improve the output rate per unit of land, scientifically design and reasonably graft the photovoltaic business model on the basis of agricultural management facilities, and use the model of combining photovoltaic power generation with agricultural planting to divide solar radiation into light energy required by plants and light energy used for solar power generation, which not only contributes a large amount of clean energy, but also helps agricultural efficient output. That is to say, power generation is done on the board, and planting or breeding is done under the board. The application of agricultural photovoltaic prestressed pipe pile technology not only improves the success rate of piling and reduces the construction period wasted due to rework, but also greatly reduces the loss rate of prefabricated reinforced concrete piles and saves construction resources. The research on this method is advanced and novel in terms of technology, quality, safety, etc. It can be used as a construction for similar construction environments or engineering projects, with significant economic and social benefits. However, due to the development of soft soil in local areas of the site, the soft soil foundation is prone to subsidence, instability and deformation, and the areas prone to collapse are not suitable for the construction of photovoltaic prestressed pipe piles, which will cause damage to photovoltaic equipment and directly cause economic losses. Summary of the invention

[0003] The present invention overcomes the deficiencies of the prior art and provides a photovoltaic prestressed pipe pile operation monitoring and management method.

[0004] To achieve the above object, the technical solution adopted by the present invention is:

[0005] The first aspect of the present invention provides a photovoltaic prestressed pipe pile operation monitoring and management method, comprising:

[0006] Acquire groundwater data information of the target area within a preset time, and select the initial layout position of the photovoltaic prefabricated pipe piles according to the groundwater data information;

[0007] Acquire soil data of an initial arrangement position of the photovoltaic prefabricated pipe piles, and perform secondary screening based on the soil data of the initial arrangement position of the photovoltaic prefabricated pipe piles to acquire a final arrangement position of the photovoltaic prefabricated pipe piles;

[0008] Arranging the photovoltaic prefabricated pipe piles according to the final arrangement positions of the photovoltaic prefabricated pipe piles, building a groundwater data tracking model, and tracking the groundwater data through the groundwater data tracking model;

[0009] By tracking, real-time groundwater data is obtained, and by evaluating the real-time groundwater data, the layout area of ​​abnormal photovoltaic prefabricated pipe piles is obtained, and an early warning is issued based on the layout area of ​​abnormal photovoltaic prefabricated pipe piles.

[0010] Furthermore, in this method, groundwater data information of the target area within a preset time is obtained, and the initial layout position of the photovoltaic prefabricated pipe piles is screened out according to the groundwater data information, specifically:

[0011] Obtaining groundwater data information of the target area within a preset time, and setting groundwater level threshold data, and determining whether the groundwater data information of the target area within the preset time is greater than the groundwater level threshold data;

[0012] Constructing a plane map of the target area, when the groundwater data information of the target area within a preset time is greater than the groundwater level threshold data, the corresponding target area is regarded as a normal area position;

[0013] When the groundwater data information of the target area position within the preset time is not greater than the groundwater level threshold data, the corresponding target area position is regarded as an abnormal area, and the abnormal area is deleted from the plane map of the target area;

[0014] The normal area position is marked on the plan view of the target area to generate a marked area, and the marked area is used as the initial layout position of the photovoltaic prefabricated pipe piles, and the initial layout position of the photovoltaic prefabricated pipe piles is displayed in a preset manner.

[0015] Furthermore, in this method, soil data of the initial arrangement position of the photovoltaic prefabricated pipe piles is obtained, and secondary screening is performed based on the soil data of the initial arrangement position of the photovoltaic prefabricated pipe piles to obtain the final arrangement position of the photovoltaic prefabricated pipe piles, specifically:

[0016] The corrosiveness data of photovoltaic prefabricated pipe piles under each soil data is obtained through big data, and a knowledge graph is constructed. The soil data is used as the first graph node and the corrosiveness data is used as the second graph node to construct a directed description relationship.

[0017] Connecting the first graph node and the second graph node based on the directed description relationship to construct a topological structure graph, and inputting the topological structure graph into the knowledge graph for node representation;

[0018] Acquire soil data of the initial arrangement position of the photovoltaic prefabricated pipe piles, input the soil data of the initial arrangement position of the photovoltaic prefabricated pipe piles into the knowledge graph for data matching, and acquire the corrosion data of the photovoltaic prefabricated pipe piles under the soil data of the initial arrangement position of the photovoltaic prefabricated pipe piles;

[0019] A corrosion data threshold is set, and the initial layout position of the photovoltaic prefabricated pipe pile corresponding to the corrosion data not greater than the corrosion data threshold is obtained, and the initial layout position of the photovoltaic prefabricated pipe pile corresponding to the corrosion data not greater than the corrosion data threshold is used as the final layout position of the photovoltaic prefabricated pipe pile.

[0020] Furthermore, in this method, a groundwater data tracking model is constructed, and groundwater data is tracked by the groundwater data tracking model, specifically:

[0021] Constructing a groundwater data tracking model based on a deep neural network, acquiring groundwater data within a preset time, and constructing a groundwater data state transition matrix based on the groundwater data within the preset time;

[0022] The state transition probability value of the groundwater data state at each time stamp in the groundwater data state transition moment is calculated by using the Markov model, and a state transition probability threshold is set;

[0023] When the state transition probability value is greater than the state transition probability threshold, the groundwater data state transition matrix is ​​updated, and the updated groundwater data state transition matrix is ​​input into the groundwater data tracking model for encoding learning;

[0024] When the state transition probability value is not greater than the state transition probability threshold, the state of the groundwater data state transition matrix is ​​maintained unchanged, and the groundwater data state transition matrix is ​​input into the groundwater data tracking model for encoding learning.

[0025] Furthermore, in the present method, real-time groundwater data of the arrangement position of each photovoltaic prefabricated pipe pile is obtained by tracking, and the arrangement area of ​​abnormal photovoltaic prefabricated pipe piles is obtained by evaluating the real-time groundwater data, which specifically includes:

[0026] The groundwater data of the current timestamp is updated by the groundwater data tracking model to obtain real-time groundwater data, and it is determined whether the real-time groundwater data is greater than the groundwater level threshold data;

[0027] When the real-time groundwater data is greater than the groundwater level threshold data, the corresponding photovoltaic prefabricated pipe pile layout area is used as a normal photovoltaic prefabricated pipe pile layout area and is displayed in a preset manner;

[0028] When the real-time groundwater data is not greater than the groundwater level threshold data, the corresponding photovoltaic prefabricated pipe pile arrangement area is used as an abnormal photovoltaic prefabricated pipe pile arrangement area and is displayed in a preset manner.

[0029] Furthermore, in this method, an early warning is issued according to the arrangement area of ​​the abnormal photovoltaic prefabricated pipe piles, specifically:

[0030] Acquire underground water level data of the abnormal photovoltaic prefabricated pipe pile arrangement area, and calculate water level deviation data of each abnormal photovoltaic prefabricated pipe pile arrangement area within a preset time according to the underground water level data of the abnormal photovoltaic prefabricated pipe pile arrangement area;

[0031] Setting an early warning level evaluation index, and evaluating the water level deviation data of each abnormal photovoltaic prefabricated pipe pile arrangement area within a preset time according to the early warning level evaluation index, and obtaining the early warning level of each abnormal photovoltaic prefabricated pipe pile arrangement area;

[0032] Relevant warning information is generated according to the warning level of the arrangement area of ​​each abnormal photovoltaic prefabricated pipe pile, and a warning is issued based on the relevant warning information.

[0033] A second aspect of the present invention provides a photovoltaic prestressed pipe pile operation monitoring and management system, including a memory and a processor, wherein the memory includes a photovoltaic prestressed pipe pile operation monitoring and management method program, and when the photovoltaic prestressed pipe pile operation monitoring and management method program is executed by the processor, the steps of any one of the photovoltaic prestressed pipe pile operation monitoring and management methods are implemented.

[0034] A third aspect of the present invention provides an electronic device, comprising:

[0035] The layout location primary planning module is responsible for obtaining groundwater data information of the target area within a preset time, and screening out the initial layout location of the photovoltaic prefabricated pipe piles according to the groundwater data information;

[0036] The secondary planning module for the layout position is responsible for obtaining the soil data of the initial layout position of the photovoltaic prefabricated pipe piles, and performing secondary screening according to the soil data of the initial layout position of the photovoltaic prefabricated pipe piles to obtain the final layout position of the photovoltaic prefabricated pipe piles;

[0037] The prefabricated pipe pile state tracking model is responsible for arranging the photovoltaic prefabricated pipe piles according to the final arrangement positions of the photovoltaic prefabricated pipe piles, and constructing a groundwater data tracking model to track the groundwater data through the groundwater data tracking model;

[0038] The early warning module is responsible for obtaining real-time groundwater data through tracking, obtaining abnormal layout areas of photovoltaic prefabricated pipe piles by evaluating the real-time groundwater data, and issuing early warnings based on the abnormal layout areas of photovoltaic prefabricated pipe piles.

[0039] The fourth aspect of the present invention provides a computer-readable storage medium, including a photovoltaic prestressed pipe pile operation monitoring and management method program. When the photovoltaic prestressed pipe pile operation monitoring and management method program is executed by a processor, the steps of any one of the photovoltaic prestressed pipe pile operation monitoring and management methods are implemented.

[0040] The present invention solves the defects existing in the background technology and has the following beneficial effects:

[0041] The present invention screens out the initial photovoltaic prefabricated pipe pile layout position according to groundwater data information, and then obtains the soil data of the initial photovoltaic prefabricated pipe pile layout position, and performs secondary screening according to the soil data of the initial photovoltaic prefabricated pipe pile layout position, obtains the final photovoltaic prefabricated pipe pile layout position, and then arranges the photovoltaic prefabricated pipe pile according to the final photovoltaic prefabricated pipe pile layout position, tracks the groundwater data through the groundwater data tracking model, and finally obtains the abnormal photovoltaic prefabricated pipe pile layout area through tracking, and warns according to the abnormal photovoltaic prefabricated pipe pile layout area. The present invention evaluates the groundwater data and soil structure data of the target area, thereby obtaining the area where collapse may occur and the area prone to corrosion, and then selects the optimal photovoltaic prefabricated pipe pile layout position, improves the rationality of the pipe pile layout, and timely monitors the groundwater data changes, can monitor and manage each layout position, and timely discover abnormalities. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, drawings of other embodiments can be obtained based on these drawings without paying creative work.

[0043] Figure 1 The overall flow chart of the photovoltaic prestressed pipe pile operation monitoring and management method is shown;

[0044] Figure 2 A partial flow chart of the photovoltaic prestressed pipe pile operation monitoring and management method is shown;

[0045] Figure 3 The system block diagram of the photovoltaic prestressed pipe pile operation monitoring and management system is shown;

[0046] Figure 4 A device schematic diagram of an electronic device is shown. DETAILED DESCRIPTION

[0047] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0048] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0049] like Figure 1 As shown, the first aspect of the present invention provides a photovoltaic prestressed pipe pile operation monitoring and management method, comprising:

[0050] S102: obtaining groundwater data information of the target area within a preset time, and selecting the initial layout position of the photovoltaic prefabricated pipe piles according to the groundwater data information;

[0051] S104: obtaining soil data of the initial arrangement position of the photovoltaic prefabricated pipe piles, and performing secondary screening according to the soil data of the initial arrangement position of the photovoltaic prefabricated pipe piles to obtain the final arrangement position of the photovoltaic prefabricated pipe piles;

[0052] S106: Arranging the photovoltaic prefabricated pipe piles according to the final arrangement positions of the photovoltaic prefabricated pipe piles, building a groundwater data tracking model, and tracking the groundwater data through the groundwater data tracking model;

[0053] S108: Acquire real-time groundwater data through tracking, obtain abnormal layout areas of photovoltaic prefabricated pipe piles through evaluation of the real-time groundwater data, and issue early warnings based on the abnormal layout areas of photovoltaic prefabricated pipe piles.

[0054] It should be noted that the present invention evaluates the groundwater data and soil structure data of the target area to obtain areas where collapse may occur and areas prone to corrosion, and then selects the optimal layout position of the photovoltaic prefabricated pipe piles, improves the rationality of the pipe pile layout, and timely monitors the changes in groundwater data. It is capable of monitoring and managing each layout position and discovering abnormalities in a timely manner.

[0055] like Figure 2 As shown, further, in this method, groundwater data information of the target area within a preset time is obtained, and the initial layout position of the photovoltaic prefabricated pipe piles is screened out according to the groundwater data information, specifically:

[0056] S202: obtaining groundwater data information of the target area within a preset time, setting groundwater level threshold data, and determining whether the groundwater data information of the target area within the preset time is greater than the groundwater level threshold data;

[0057] S204: constructing a plane map of the target area, when the groundwater data information of the target area within a preset time is greater than the groundwater level threshold data, the corresponding target area is regarded as a normal area position;

[0058] S206: When the groundwater data information of the target area position within the preset time is not greater than the groundwater level threshold data, the corresponding target area position is regarded as an abnormal area, and the abnormal area is deleted from the plane map of the target area;

[0059] S208: Mark the plan view of the target area with respect to the normal area position, generate a marked area, use the marked area as the initial layout position of the photovoltaic prefabricated pipe piles, and display the initial layout position of the photovoltaic prefabricated pipe piles in a preset manner.

[0060] It should be noted that groundwater data information includes groundwater level data, groundwater flow data within unit time, etc., and the plan view of the target area can be constructed through modeling software such as CAD and SolidWorks. When the groundwater data information of the target area within the preset time is not greater than the groundwater level threshold data, it means that the groundwater is abnormal and geological collapse is likely to occur. It cannot be used as the layout location of photovoltaic prefabricated pipe piles. This method can improve the rationality of the layout location of photovoltaic prefabricated pipe piles.

[0061] Furthermore, in this method, the soil data of the initial arrangement position of the photovoltaic prefabricated pipe piles is obtained, and secondary screening is performed based on the soil data of the initial arrangement position of the photovoltaic prefabricated pipe piles to obtain the final arrangement position of the photovoltaic prefabricated pipe piles, specifically:

[0062] The corrosiveness data of photovoltaic prefabricated pipe piles under each soil data is obtained through big data, and a knowledge graph is constructed. The soil data is used as the first graph node and the corrosiveness data is used as the second graph node to construct a directed description relationship.

[0063] Connect the first graph node and the second graph node based on the directed description relationship to construct a topological structure graph, and input the topological structure graph into the knowledge graph for node representation;

[0064] Acquire soil data of the initial arrangement position of the photovoltaic prefabricated pipe piles, input the soil data of the initial arrangement position of the photovoltaic prefabricated pipe piles into the knowledge graph for data matching, and acquire the corrosion data of the photovoltaic prefabricated pipe piles under the soil data of the initial arrangement position of the photovoltaic prefabricated pipe piles;

[0065] A corrosion data threshold is set, and the initial layout position of the photovoltaic prefabricated pipe pile corresponding to the corrosion data not greater than the corrosion data threshold is obtained, and the initial layout position of the photovoltaic prefabricated pipe pile corresponding to the corrosion data not greater than the corrosion data threshold is used as the final layout position of the photovoltaic prefabricated pipe pile.

[0066] It should be noted that the corrosion data includes the corrosion area of ​​the pile within a preset time, the corrosion rate of the pile within a unit time, etc. This method can further optimize the layout of the photovoltaic prefabricated piles and improve the rationality of the layout of the photovoltaic prefabricated piles. Soil data includes temperature, humidity, salinity, etc.

[0067] Furthermore, in this method, a groundwater data tracking model is constructed, and groundwater data is tracked by the groundwater data tracking model, specifically:

[0068] A groundwater data tracking model is constructed based on a deep neural network, and groundwater data within a preset time is obtained, and a groundwater data state transition moment is constructed according to the groundwater data within the preset time;

[0069] The state transition probability value of the groundwater data state at each time stamp in the groundwater data state transition moment is calculated by using the Markov model, and a state transition probability threshold is set;

[0070] When the state transition probability value is greater than the state transition probability threshold, the groundwater data state transition matrix is ​​updated, and the updated groundwater data state transition matrix is ​​input into the groundwater data tracking model for encoding learning;

[0071] When the state transition probability value is not greater than the state transition probability threshold, the state of the groundwater data state transfer matrix is ​​maintained unchanged, and the groundwater data state transfer matrix is ​​input into the groundwater data tracking model for encoding learning.

[0072] It should be noted that the Markov model is a computational model for calculating uncertain data states. When the state transition probability value is greater than the state transition probability threshold, it indicates that the groundwater data state at the current timestamp is transferred to another groundwater data state. This method is used to update the data matrix, thereby improving the tracking accuracy of groundwater data.

[0073] Furthermore, in the present method, real-time groundwater data of the arrangement position of each photovoltaic prefabricated pipe pile is obtained by tracking, and the arrangement area of ​​abnormal photovoltaic prefabricated pipe piles is obtained by evaluating the real-time groundwater data, which specifically includes:

[0074] The groundwater data of the current timestamp is updated through the groundwater data tracking model to obtain real-time groundwater data and determine whether the real-time groundwater data is greater than the groundwater level threshold data;

[0075] When the real-time groundwater data is greater than the groundwater level threshold data, the corresponding photovoltaic prefabricated pipe pile layout area is used as the normal photovoltaic prefabricated pipe pile layout area and is displayed in a preset manner;

[0076] When the real-time groundwater data is not greater than the groundwater level threshold data, the corresponding layout area of ​​the photovoltaic prefabricated pipe piles is used as the layout area of ​​the abnormal photovoltaic prefabricated pipe piles and is displayed in a preset manner.

[0077] It should be noted that the abnormal location can be monitored through this method.

[0078] Furthermore, in this method, an early warning is given according to the arrangement area of ​​abnormal photovoltaic prefabricated pipe piles, specifically:

[0079] Acquire the underground water level data of the abnormal photovoltaic prefabricated pipe pile arrangement area, and calculate the water level deviation data of each abnormal photovoltaic prefabricated pipe pile arrangement area within a preset time according to the underground water level data of the abnormal photovoltaic prefabricated pipe pile arrangement area;

[0080] Setting an early warning level evaluation index, and evaluating the water level deviation data of each abnormal photovoltaic prefabricated pipe pile arrangement area within a preset time according to the early warning level evaluation index, and obtaining the early warning level of each abnormal photovoltaic prefabricated pipe pile arrangement area;

[0081] Relevant warning information is generated according to the warning level of the arrangement area of ​​each abnormal photovoltaic prefabricated pipe pile, and a warning is issued based on the relevant warning information.

[0082] It should be noted that the warning levels include high warning level, medium warning level, low warning level, etc. This method can allocate warning levels according to groundwater level data to monitor abnormalities in the layout area of ​​photovoltaic prefabricated pipe piles.

[0083] In addition, the method further comprises:

[0084] Obtain stability membership characteristic data of photovoltaic prefabricated pipe piles under each soil type data during installation, and input the stability membership characteristic data of photovoltaic prefabricated pipe piles under each soil type data during installation into the knowledge graph for storage;

[0085] Acquire soil type data of each sub-region in the target region, and input the soil type data of each sub-region in the target region into the knowledge graph for data matching;

[0086] Through data matching, the stability membership characteristic data of the photovoltaic prefabricated pipe piles in each sub-area during installation is obtained, and the stability membership characteristic data threshold is set;

[0087] The sub-region where the stability membership characteristic data is greater than the stability membership characteristic data threshold is obtained, and the sub-region where the stability membership characteristic data is greater than the stability membership characteristic data threshold is used as the layout area of ​​the photovoltaic prestressed pipe piles, and the final layout position of the photovoltaic prefabricated pipe piles is updated.

[0088] It should be noted that the stability of pipe piles at the same predetermined installation depth is inconsistent for different soil types. For example, the stability of pipe piles when installed in soft soil is poor. The stability affiliation includes high stability, medium stability, low stability, etc. Pipe piles should be installed in areas with high stability. This method can further improve the rationality of the arrangement of pipe piles.

[0089] In addition, the method further comprises:

[0090] Obtaining the required layout area information of the photovoltaic prestressed pipe piles, and initializing the layout area according to the layout area information of the photovoltaic prestressed pipe piles and the final layout position of the photovoltaic prefabricated pipe piles, and obtaining the layout area information of each layout area;

[0091] Introducing a genetic algorithm, setting a genetic algebra based on the genetic algorithm, counting the layout area information of each layout area, obtaining the total layout area information of the layout area, and judging whether the total layout area information is greater than the layout area information required by the photovoltaic prestressed pipe piles;

[0092] When the total layout area information is greater than the layout area information required by the photovoltaic prestressed pipe piles, outputting the layout area, and arranging and installing the photovoltaic prestressed pipe piles according to the layout area;

[0093] When the total layout area information is not greater than the required layout area information of the photovoltaic prestressed pipe piles, the layout area is adjusted until the total layout area information is greater than the required layout area information of the photovoltaic prestressed pipe piles.

[0094] It should be noted that, by using a genetic algorithm to select a high-quality layout area according to the layout area information required for the photovoltaic prestressed pipe piles, a high-quality solution is selected to improve the rationality of the layout of the photovoltaic prestressed pipe piles.

[0095] like Figure 3 As shown, the second aspect of the present invention provides a photovoltaic prestressed pipe pile operation monitoring and management system 4, including a memory 41 and a processor 42. The memory 41 includes a photovoltaic prestressed pipe pile operation monitoring and management method program. When the photovoltaic prestressed pipe pile operation monitoring and management method program is executed by the processor 42, any step of the photovoltaic prestressed pipe pile operation monitoring and management method is implemented.

[0096] like Figure 4 As shown, the third aspect of the present invention provides an electronic device, including:

[0097] The layout location primary planning module 10 is responsible for obtaining groundwater data information of the target area within a preset time, and screening out the initial layout location of the photovoltaic prefabricated pipe piles according to the groundwater data information;

[0098] The secondary planning module 20 for the layout position is responsible for obtaining the soil data of the initial layout position of the photovoltaic prefabricated pipe piles, and performing secondary screening according to the soil data of the initial layout position of the photovoltaic prefabricated pipe piles to obtain the final layout position of the photovoltaic prefabricated pipe piles;

[0099] The prefabricated pipe pile state tracking model 30 is responsible for arranging the photovoltaic prefabricated pipe piles according to the final arrangement positions of the photovoltaic prefabricated pipe piles, and constructing a groundwater data tracking model to track the groundwater data through the groundwater data tracking model;

[0100] The early warning module 40 is responsible for obtaining real-time groundwater data through tracking, obtaining abnormal layout areas of photovoltaic prefabricated pipe piles by evaluating the real-time groundwater data, and issuing early warnings based on the abnormal layout areas of photovoltaic prefabricated pipe piles.

[0101] Furthermore, in this device, groundwater data information of the target area within a preset time is obtained, and the initial layout position of the photovoltaic prefabricated pipe piles is screened out according to the groundwater data information, specifically:

[0102] Obtain groundwater data information of the target area within a preset time, set groundwater level threshold data, and determine whether the groundwater data information of the target area within the preset time is greater than the groundwater level threshold data;

[0103] Construct a plane map of the target area. When the groundwater data information of the target area within the preset time is greater than the groundwater level threshold data, the corresponding target area is regarded as a normal area position;

[0104] When the groundwater data information of the target area location within the preset time is not greater than the groundwater level threshold data, the corresponding target area location is regarded as an abnormal area, and the abnormal area is deleted from the plane map of the target area;

[0105] The normal area position is marked on the plane map of the target area to generate a marked area, and the marked area is used as the initial layout position of the photovoltaic prefabricated pipe piles, and the initial layout position of the photovoltaic prefabricated pipe piles is displayed in a preset manner.

[0106] Furthermore, in the present device, the soil data of the initial arrangement position of the photovoltaic prefabricated pipe piles is obtained, and secondary screening is performed based on the soil data of the initial arrangement position of the photovoltaic prefabricated pipe piles to obtain the final arrangement position of the photovoltaic prefabricated pipe piles, specifically:

[0107] The corrosiveness data of photovoltaic prefabricated pipe piles under each soil data is obtained through big data, and a knowledge graph is constructed. The soil data is used as the first graph node and the corrosiveness data is used as the second graph node to construct a directed description relationship.

[0108] Connect the first graph node and the second graph node based on the directed description relationship to construct a topological structure graph, and input the topological structure graph into the knowledge graph for node representation;

[0109] Acquire soil data of the initial arrangement position of the photovoltaic prefabricated pipe piles, input the soil data of the initial arrangement position of the photovoltaic prefabricated pipe piles into the knowledge graph for data matching, and acquire the corrosion data of the photovoltaic prefabricated pipe piles under the soil data of the initial arrangement position of the photovoltaic prefabricated pipe piles;

[0110] A corrosion data threshold is set, and the initial layout position of the photovoltaic prefabricated pipe pile corresponding to the corrosion data not greater than the corrosion data threshold is obtained, and the initial layout position of the photovoltaic prefabricated pipe pile corresponding to the corrosion data not greater than the corrosion data threshold is used as the final layout position of the photovoltaic prefabricated pipe pile.

[0111] Furthermore, in this device, a groundwater data tracking model is constructed, and groundwater data is tracked through the groundwater data tracking model, specifically:

[0112] A groundwater data tracking model is constructed based on a deep neural network, and groundwater data within a preset time is obtained, and a groundwater data state transition moment is constructed according to the groundwater data within the preset time;

[0113] The state transition probability value of the groundwater data state at each time stamp in the groundwater data state transition moment is calculated by using the Markov model, and a state transition probability threshold is set;

[0114] When the state transition probability value is greater than the state transition probability threshold, the groundwater data state transition matrix is ​​updated, and the updated groundwater data state transition matrix is ​​input into the groundwater data tracking model for encoding learning;

[0115] When the state transition probability value is not greater than the state transition probability threshold, the state of the groundwater data state transfer matrix is ​​maintained unchanged, and the groundwater data state transfer matrix is ​​input into the groundwater data tracking model for encoding learning.

[0116] Furthermore, in the present device, real-time groundwater data of the arrangement position of each photovoltaic prefabricated pipe pile is obtained by tracking, and the arrangement area of ​​abnormal photovoltaic prefabricated pipe piles is obtained by evaluating the real-time groundwater data, which specifically includes:

[0117] The groundwater data of the current timestamp is updated through the groundwater data tracking model to obtain real-time groundwater data and determine whether the real-time groundwater data is greater than the groundwater level threshold data;

[0118] When the real-time groundwater data is greater than the groundwater level threshold data, the corresponding photovoltaic prefabricated pipe pile layout area is used as the normal photovoltaic prefabricated pipe pile layout area and is displayed in a preset manner;

[0119] When the real-time groundwater data is not greater than the groundwater level threshold data, the corresponding layout area of ​​the photovoltaic prefabricated pipe piles is used as the layout area of ​​the abnormal photovoltaic prefabricated pipe piles and is displayed in a preset manner.

[0120] Furthermore, in this device, an early warning is given according to the arrangement area of ​​abnormal photovoltaic prefabricated pipe piles, specifically:

[0121] Acquire the underground water level data of the abnormal photovoltaic prefabricated pipe pile arrangement area, and calculate the water level deviation data of each abnormal photovoltaic prefabricated pipe pile arrangement area within a preset time according to the underground water level data of the abnormal photovoltaic prefabricated pipe pile arrangement area;

[0122] Setting an early warning level evaluation index, and evaluating the water level deviation data of each abnormal photovoltaic prefabricated pipe pile arrangement area within a preset time according to the early warning level evaluation index, and obtaining the early warning level of each abnormal photovoltaic prefabricated pipe pile arrangement area;

[0123] Relevant warning information is generated according to the warning level of the arrangement area of ​​each abnormal photovoltaic prefabricated pipe pile, and a warning is issued based on the relevant warning information.

[0124] The fourth aspect of the present invention provides a computer-readable storage medium, including a photovoltaic prestressed pipe pile operation monitoring and management method program. When the photovoltaic prestressed pipe pile operation monitoring and management method program is executed by a processor, any step of the photovoltaic prestressed pipe pile operation monitoring and management method is implemented.

[0125] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0126] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0127] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0128] A person of ordinary skill in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks or optical disks, and other media that can store program codes.

[0129] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods of each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

[0130] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art who is familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A photovoltaic prestressed pipe pile operation monitoring and management method, characterized in that: include: Acquire groundwater data information of the target area within a preset time, and select the initial layout position of the photovoltaic prefabricated pipe piles according to the groundwater data information; Acquire soil data of an initial arrangement position of the photovoltaic prefabricated pipe piles, and perform secondary screening based on the soil data of the initial arrangement position of the photovoltaic prefabricated pipe piles to acquire a final arrangement position of the photovoltaic prefabricated pipe piles; Arranging the photovoltaic prefabricated pipe piles according to the final arrangement positions of the photovoltaic prefabricated pipe piles, building a groundwater data tracking model, and tracking the groundwater data through the groundwater data tracking model; By tracking, real-time groundwater data is obtained, and by evaluating the real-time groundwater data, the layout area of ​​abnormal photovoltaic prefabricated pipe piles is obtained, and an early warning is issued based on the layout area of ​​abnormal photovoltaic prefabricated pipe piles.

2. A photovoltaic prestressed pipe pile operation monitoring and management method according to claim 1, characterized in that: Obtain groundwater data information of the target area within a preset time, and select the initial layout position of the photovoltaic prefabricated pipe piles according to the groundwater data information, specifically: Obtaining groundwater data information of the target area within a preset time, and setting groundwater level threshold data, and determining whether the groundwater data information of the target area within the preset time is greater than the groundwater level threshold data; Constructing a plane map of the target area, when the groundwater data information of the target area within a preset time is greater than the groundwater level threshold data, the corresponding target area is regarded as a normal area position; When the groundwater data information of the target area position within the preset time is not greater than the groundwater level threshold data, the corresponding target area position is regarded as an abnormal area, and the abnormal area is deleted from the plane map of the target area; The normal area position is marked on the plan view of the target area to generate a marked area, and the marked area is used as the initial layout position of the photovoltaic prefabricated pipe piles, and the initial layout position of the photovoltaic prefabricated pipe piles is displayed in a preset manner.

3. A photovoltaic prestressed pipe pile operation monitoring and management method according to claim 1, characterized in that: The soil data of the initial arrangement position of the photovoltaic prefabricated pipe piles is obtained, and secondary screening is performed according to the soil data of the initial arrangement position of the photovoltaic prefabricated pipe piles to obtain the final arrangement position of the photovoltaic prefabricated pipe piles, specifically: The corrosiveness data of photovoltaic prefabricated pipe piles under each soil data is obtained through big data, and a knowledge graph is constructed. The soil data is used as the first graph node and the corrosiveness data is used as the second graph node to construct a directed description relationship. Connecting the first graph node and the second graph node based on the directed description relationship to construct a topological structure graph, and inputting the topological structure graph into the knowledge graph for node representation; Acquire soil data of the initial arrangement position of the photovoltaic prefabricated pipe piles, input the soil data of the initial arrangement position of the photovoltaic prefabricated pipe piles into the knowledge graph for data matching, and acquire the corrosion data of the photovoltaic prefabricated pipe piles under the soil data of the initial arrangement position of the photovoltaic prefabricated pipe piles; A corrosion data threshold is set, and the initial layout position of the photovoltaic prefabricated pipe pile corresponding to the corrosion data not greater than the corrosion data threshold is obtained, and the initial layout position of the photovoltaic prefabricated pipe pile corresponding to the corrosion data not greater than the corrosion data threshold is used as the final layout position of the photovoltaic prefabricated pipe pile.

4. A photovoltaic prestressed pipe pile operation monitoring and management method according to claim 1, characterized in that: A groundwater data tracking model is constructed, and groundwater data is tracked by the groundwater data tracking model, specifically: Constructing a groundwater data tracking model based on a deep neural network, acquiring groundwater data within a preset time, and constructing a groundwater data state transition matrix based on the groundwater data within the preset time; The state transition probability value of the groundwater data state at each time stamp in the groundwater data state transition moment is calculated by using the Markov model, and a state transition probability threshold is set; When the state transition probability value is greater than the state transition probability threshold, the groundwater data state transition matrix is ​​updated, and the updated groundwater data state transition matrix is ​​input into the groundwater data tracking model for encoding learning; When the state transition probability value is not greater than the state transition probability threshold, the state of the groundwater data state transition matrix is ​​maintained unchanged, and the groundwater data state transition matrix is ​​input into the groundwater data tracking model for encoding learning.

5. A photovoltaic prestressed pipe pile operation monitoring and management method according to claim 1, characterized in that: By tracking, real-time groundwater data of the layout position of each photovoltaic prefabricated pipe pile is obtained, and by evaluating the real-time groundwater data, the layout area of ​​abnormal photovoltaic prefabricated pipe piles is obtained, which specifically includes: The groundwater data of the current timestamp is updated by the groundwater data tracking model to obtain real-time groundwater data, and it is determined whether the real-time groundwater data is greater than the groundwater level threshold data; When the real-time groundwater data is greater than the groundwater level threshold data, the corresponding photovoltaic prefabricated pipe pile layout area is used as a normal photovoltaic prefabricated pipe pile layout area and is displayed in a preset manner; When the real-time groundwater data is not greater than the groundwater level threshold data, the corresponding photovoltaic prefabricated pipe pile arrangement area is used as an abnormal photovoltaic prefabricated pipe pile arrangement area and is displayed in a preset manner.

6. A photovoltaic prestressed pipe pile operation monitoring and management method according to claim 1, characterized in that: According to the arrangement area of ​​the abnormal photovoltaic prefabricated pipe piles, an early warning is given, specifically: Acquire underground water level data of the abnormal photovoltaic prefabricated pipe pile arrangement area, and calculate water level deviation data of each abnormal photovoltaic prefabricated pipe pile arrangement area within a preset time according to the underground water level data of the abnormal photovoltaic prefabricated pipe pile arrangement area; Setting an early warning level evaluation index, and evaluating the water level deviation data of each abnormal photovoltaic prefabricated pipe pile arrangement area within a preset time according to the early warning level evaluation index, and obtaining the early warning level of each abnormal photovoltaic prefabricated pipe pile arrangement area; Relevant warning information is generated according to the warning level of the arrangement area of ​​each abnormal photovoltaic prefabricated pipe pile, and a warning is issued based on the relevant warning information.

7. A photovoltaic prestressed pipe pile operation monitoring and management system, characterized in that: It includes a memory and a processor, the memory includes a photovoltaic prestressed pipe pile operation monitoring and management method program, and when the photovoltaic prestressed pipe pile operation monitoring and management method program is executed by the processor, the steps of the photovoltaic prestressed pipe pile operation monitoring and management method as described in any one of claims 1-6 are implemented.

8. An electronic device, characterized in that: include: The layout location primary planning module is responsible for obtaining groundwater data information of the target area within a preset time, and screening out the initial layout location of the photovoltaic prefabricated pipe piles according to the groundwater data information; The secondary planning module for the layout position is responsible for obtaining the soil data of the initial layout position of the photovoltaic prefabricated pipe piles, and performing secondary screening according to the soil data of the initial layout position of the photovoltaic prefabricated pipe piles to obtain the final layout position of the photovoltaic prefabricated pipe piles; The prefabricated pipe pile state tracking model is responsible for arranging the photovoltaic prefabricated pipe piles according to the final arrangement positions of the photovoltaic prefabricated pipe piles, and constructing a groundwater data tracking model to track the groundwater data through the groundwater data tracking model; The early warning module is responsible for obtaining real-time groundwater data through tracking, obtaining abnormal layout areas of photovoltaic prefabricated pipe piles by evaluating the real-time groundwater data, and issuing early warnings based on the abnormal layout areas of photovoltaic prefabricated pipe piles.

9. A computer-readable storage medium, characterized in that: It includes a photovoltaic prestressed pipe pile operation monitoring and management method program. When the photovoltaic prestressed pipe pile operation monitoring and management method program is executed by a processor, the steps of the photovoltaic prestressed pipe pile operation monitoring and management method as described in any one of claims 1-6 are implemented.

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