A photovoltaic prestressed pipe pile operation monitoring and management method

Abstract

The application relates to a photovoltaic prestressed pipe pile operation monitoring and management method, and belongs to the technical field of photovoltaic prestressed pipe pile operation.The final photovoltaic prefabricated pipe pile arrangement position is acquired, the photovoltaic prefabricated pipe pile is arranged according to the final photovoltaic prefabricated pipe pile arrangement position, underground water data is tracked through an underground water data tracking model, finally, the arrangement area of the abnormal photovoltaic prefabricated pipe pile is acquired through tracking, and early warning is performed according to the arrangement area of the abnormal photovoltaic prefabricated pipe pile.The underground water data and soil structure data of a target area are evaluated, so that the area where collapse is likely to occur and the area where corrosion is likely to occur are acquired, the optimal photovoltaic prefabricated pipe pile arrangement position is selected, the rationality of pipe pile arrangement is improved, the data change of underground water is monitored in a timely manner, each arrangement position can be monitored and managed, and abnormalities can be found in a timely manner.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of photovoltaic prestressed pipe pile operation, and particularly relates to a photovoltaic prestressed pipe pile operation monitoring and management method. BACKGROUND

[0002] Solar energy is the only extraterrestrial energy on earth that never runs out and does not cause any pollution. The solar energy received by the earth accounts for only 1 / 10,000,000 of the total energy emitted by the earth, but the energy is very large. It is estimated that the solar radiation received by the earth every day is about 3.9x1024 joules, which is equivalent to burning 8.6 billion tons of oil, about 1 / 4 of the total oil reserves on earth. The prospect of developing and utilizing solar energy is very broad, so someone said, "Solar energy is the energy of the future." Someone else said directly: "Solar energy is the new energy of the 21st century. In the case of not changing the nature of the land and not occupying the land, the "photovoltaic + agriculture" mode not only saves land resources, but also is beneficial to the development of modern agriculture, supporting agriculture, and allowing farmers to have more income. The concept of photovoltaic agriculture can realize one land with multiple uses and improve the unit land output rate. The photovoltaic operation mode is scientifically designed and reasonably grafted on the basis of agricultural operation facilities, and the photovoltaic power generation and agricultural planting are combined to divide the solar radiation into light energy needed by plants and light energy used for solar power generation, which not only contributes a large amount of clean energy, but also helps agricultural high-efficiency output. That is, power generation on the board and planting or breeding under the board. The application of the agricultural photovoltaic prestressed pipe pile technology improves the pile driving success rate, reduces the waste of the work period due to rework, and greatly reduces the loss rate of the prefabricated reinforced concrete pile and saves construction resources. The research on the method is advanced and novel in terms of technology, quality, safety and the like, and can be used as the construction of similar construction environments or engineering projects, and has significant economic and social benefits. However, due to the development of soft soil in the local section of the site, the soft soil foundation is prone to subsidence, instability and deformation, and the area prone to collapse is also not suitable for the construction of the photovoltaic prestressed pipe pile, which may cause damage to the photovoltaic equipment and directly cause economic losses. SUMMARY

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

[0004] To achieve the above purpose, the technical scheme adopted by the present application is as follows:

[0005] The present application provides a photovoltaic prestressed pipe pile operation monitoring and management method in the first aspect, which comprises:

[0006] Obtain groundwater data information of a target area position within a preset time, and screen an initial arrangement position of a photovoltaic prefabricated pipe pile according to the groundwater data information.

[0007] Obtaining soil data of the initial photovoltaic prefabricated pile arrangement position, and performing secondary screening according to the soil data of the initial photovoltaic prefabricated pile arrangement position to obtain a final photovoltaic prefabricated pile arrangement position;

[0008] Arranging photovoltaic prefabricated piles according to the final photovoltaic prefabricated pile arrangement position, and constructing a groundwater data tracking model to track groundwater data through the groundwater data tracking model;

[0009] Through tracking, obtaining real-time groundwater data, and through evaluation of the real-time groundwater data, obtaining an abnormal photovoltaic prefabricated pile arrangement area, and performing early warning according to the abnormal photovoltaic prefabricated pile arrangement area.

[0010] Further, in the method, groundwater data information of a target area position within a preset time is obtained, and an initial photovoltaic prefabricated pile arrangement position is screened according to the groundwater data information, specifically:

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

[0012] Constructing a plan view of the target area, and when the groundwater data information of the target area position within the preset time is greater than the groundwater level threshold data, the corresponding target area is taken 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 taken as an abnormal area, and the abnormal area is deleted from the plan view of the target area;

[0014] Marking the normal area position on the plan view of the target area to generate a marked area, taking the marked area as an initial photovoltaic prefabricated pile arrangement position, and displaying the initial photovoltaic prefabricated pile arrangement position in a preset manner.

[0015] Further, in the method, soil data of an initial photovoltaic prefabricated pile arrangement position is obtained, and a final photovoltaic prefabricated pile arrangement position is obtained through secondary screening according to the soil data of the initial photovoltaic prefabricated pile arrangement position, specifically:

[0016] Corrosion data of the photovoltaic prefabricated pipe pile under the soil data is obtained through big data, and a knowledge graph is constructed, the soil data is taken as a first graph node, and the corrosion data is taken as a second graph node, and a directed description relationship is constructed;

[0017] The first graph node and the second graph node are connected based on the directed description relationship, a topological structure graph is constructed, and node representation is performed in the knowledge graph based on the topological structure graph;

[0018] The soil data of the initial arrangement position of the photovoltaic prefabricated pipe pile is obtained, the soil data of the initial arrangement position of the photovoltaic prefabricated pipe pile is input into the knowledge graph for data matching, and the corrosion data of the photovoltaic prefabricated pipe pile under the soil data of the initial arrangement position of the photovoltaic prefabricated pipe pile is obtained;

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

[0020] Further, in the method, an underground water data tracking model is constructed, and the underground water data is tracked through the underground water data tracking model, and specifically:

[0021] The underground water data tracking model is constructed based on a deep neural network, and underground water data within a preset time is obtained, and an underground water data state transition matrix is constructed according to the underground water data within the preset time;

[0022] The state transition probability value of the underground water data state transition from each timestamp in the underground water data state transition matrix to another underground water data state is calculated through a 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 underground water data state transition matrix is updated, and the updated underground water data state transition matrix is input into the underground water 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 underground water data state transition matrix is maintained unchanged, and the underground water data state transition matrix is input into the underground water data tracking model for encoding learning.

[0025] Further, in the method, real-time underground water data of the arrangement position of each photovoltaic prefabricated pipe pile is obtained through tracking, and an abnormal photovoltaic prefabricated pipe pile arrangement area is obtained by evaluating the real-time underground water data, and specifically includes:

[0026] updating the current timestamp groundwater data by the groundwater data tracking model, obtaining real-time groundwater data, and determining whether the real-time groundwater data is greater than 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 arrangement area is regarded as a normal photovoltaic prefabricated pipe pile arrangement 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 regarded as an abnormal photovoltaic prefabricated pipe pile arrangement area, and is displayed in a preset manner.

[0029] Further, in the method, a warning is given according to the abnormal photovoltaic prefabricated pipe pile arrangement area, specifically:

[0030] obtaining groundwater level data of the abnormal photovoltaic prefabricated pipe pile arrangement area, calculating water level deviation data of each abnormal photovoltaic prefabricated pipe pile arrangement area within a preset time according to the groundwater level data of the abnormal photovoltaic prefabricated pipe pile arrangement area;

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

[0032] generating relevant warning information according to the warning level of each abnormal photovoltaic prefabricated pipe pile arrangement area, and giving a warning based on the relevant warning information.

[0033] The second aspect of the application provides a photovoltaic prestressed pipe pile operation monitoring and management system, comprising a memory and a processor, the memory comprising a photovoltaic prestressed pipe pile operation monitoring and management method program, and the photovoltaic prestressed pipe pile operation monitoring and management method program is executed by the processor to realize the steps of any one of the photovoltaic prestressed pipe pile operation monitoring and management method.

[0034] The third aspect of the application provides an electronic device, comprising:

[0035] The arrangement position planning module is responsible for obtaining groundwater data information of the target area position within a preset time, and screening an initial photovoltaic prefabricated pipe pile arrangement position according to the groundwater data information.

[0036] The arrangement position quadratic programming module is responsible for acquiring soil data of an initial arrangement position of the photovoltaic prestressed pipe pile, and performing secondary screening according to the soil data of the initial arrangement position of the photovoltaic prestressed pipe pile to acquire a final arrangement position of the photovoltaic prestressed pipe pile.

[0037] The prefabricated pipe pile state tracking model is responsible for arranging the photovoltaic prestressed pipe pile according to the final arrangement position of the photovoltaic prestressed pipe pile, and constructing an underground water data tracking model to track underground water data through the underground water data tracking model.

[0038] The early warning module is responsible for acquiring real-time underground water data through tracking, acquiring an abnormal arrangement area of the photovoltaic prestressed pipe pile through evaluation of the real-time underground water data, and performing early warning according to the abnormal arrangement area of the photovoltaic prestressed pipe pile.

[0039] The fourth aspect of the present application provides a computer readable storage medium comprising a photovoltaic prestressed pipe pile operation monitoring and management method program, wherein the photovoltaic prestressed pipe pile operation monitoring and management method program is executed by a processor to realize the steps of any one of the photovoltaic prestressed pipe pile operation monitoring and management methods.

[0040] The present application solves the defects in the background art, and has the following beneficial effects:

[0041] The present application screens an initial arrangement position of the photovoltaic prestressed pipe pile according to underground water data information, acquires soil data of the initial arrangement position of the photovoltaic prestressed pipe pile, performs secondary screening according to the soil data of the initial arrangement position of the photovoltaic prestressed pipe pile to acquire a final arrangement position of the photovoltaic prestressed pipe pile, arranges the photovoltaic prestressed pipe pile according to the final arrangement position of the photovoltaic prestressed pipe pile, tracks underground water data through an underground water data tracking model, finally acquires an abnormal arrangement area of the photovoltaic prestressed pipe pile through tracking, and performs early warning according to the abnormal arrangement area of the photovoltaic prestressed pipe pile. The present application evaluates underground water data and soil structure data of a target area to acquire a region where collapse is likely to occur and a region where corrosion is likely to occur, selects an optimal arrangement position of the photovoltaic prestressed pipe pile, improves the rationality of pipe pile arrangement, monitors and manages each arrangement position in a timely manner, and discovers abnormalities in a timely manner. BRIEF DESCRIPTION OF DRAWINGS

[0042] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description only constitute some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained from these drawings without creative labor.

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

[0044] Figure 2 The partial flowchart 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 The device schematic diagram of the electronic device is shown. DETAILED DESCRIPTION

[0047] In order to more clearly illustrate the above-mentioned purposes, features and advantages of the present application, the following will further describe the present application in combination with the 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 in order to provide a thorough understanding of the present application, however, the present application can also be implemented in other ways different from those described herein, therefore, the protection scope of the present application is not limited by the specific embodiments disclosed below.

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

[0050] S102: obtaining groundwater data information of a target area position within a preset time, and screening an initial arrangement position of a photovoltaic prestressed pipe pile according to the groundwater data information;

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

[0052] S106: arranging the photovoltaic prestressed pipe pile according to the final arrangement position of the photovoltaic prestressed pipe pile, and constructing a groundwater data tracking model to track the groundwater data through the groundwater data tracking model;

[0053] S108: Through tracking, real-time groundwater data is acquired, abnormal photovoltaic precast pipe pile arrangement areas are acquired through evaluation on the real-time groundwater data, and early warning is performed according to the abnormal photovoltaic precast pipe pile arrangement areas.

[0054] It should be noted that the underground water data and the soil structure data of the target area are evaluated to acquire the area where collapse is likely to occur and the area where corrosion is likely to occur, so that the optimal photovoltaic precast pipe pile arrangement position is selected, the rationality of pipe pile arrangement is improved, the data change of underground water is monitored in time, and each arrangement position can be monitored and managed in time to find abnormalities.

[0055] As shown in Figure 2 Further, in the method, the underground water data information of the target area position within a preset time is acquired, and the initial photovoltaic precast pipe pile arrangement position is screened according to the underground water data information, specifically:

[0056] S202: The underground water data information of the target area position within a preset time is acquired, and the underground water level threshold data is set to determine whether the underground water data information of the target area position within a preset time is greater than the underground water level threshold data.

[0057] S204: The plan view of the target area is constructed, and when the underground water data information of the target area position within a preset time is greater than the underground water level threshold data, the corresponding target area is regarded as a normal area position.

[0058] S206: When the underground water data information of the target area position within a preset time is not greater than the underground water level threshold data, the corresponding target area position is regarded as an abnormal area, and the abnormal area is deleted from the plan view of the target area.

[0059] S208: The normal area position in the plan view of the target area is marked to generate a marked area, and the marked area is regarded as the initial photovoltaic precast pipe pile arrangement position, and the initial photovoltaic precast pipe pile arrangement position is displayed in a preset manner.

[0060] It should be noted that the underground water data information includes underground water level data, underground water flow data within a unit time, etc., and the plan view of the target area can be constructed by using modeling software such as CAD and SolidWorks. When the underground water data information of the target area position within a preset time is not greater than the underground water level threshold data, it indicates that the underground water is abnormal and is prone to geological collapse, and is not regarded as the photovoltaic precast pipe pile arrangement position. The method can improve the arrangement rationality of the photovoltaic precast pipe pile arrangement position.

[0061] Further, in the method, soil data of an initial arrangement position of the photovoltaic prefabricated pile is obtained, and the soil data of the initial arrangement position of the photovoltaic prefabricated pile is used for secondary screening to obtain a final arrangement position of the photovoltaic prefabricated pile, specifically:

[0062] Through big data, corrosion data of the photovoltaic prefabricated pile under each soil data is obtained, and a knowledge graph is constructed, taking the soil data as a first graph node and the corrosion data as a second graph node, and a directed description relationship is constructed;

[0063] The first graph node and the second graph node are connected based on the directed description relationship to construct a topological structure graph, and node representation is performed based on the topological structure graph input into the knowledge graph;

[0064] The soil data of the initial arrangement position of the photovoltaic prefabricated pile is obtained, and the soil data of the initial arrangement position of the photovoltaic prefabricated pile is input into the knowledge graph for data matching to obtain corrosion data of the photovoltaic prefabricated pile under the soil data of the initial arrangement position of the photovoltaic prefabricated pile;

[0065] A corrosion data threshold is set, and an initial arrangement position of the photovoltaic prefabricated pile corresponding to corrosion data not greater than the corrosion data threshold is obtained, and the initial arrangement position of the photovoltaic prefabricated pile corresponding to the corrosion data not greater than the corrosion data threshold is taken as a final arrangement position of the photovoltaic prefabricated pile.

[0066] It should be noted that the corrosion data includes data such as a corrosion area of the pile within a preset time and a corrosion speed of the pile per unit time, and the method can further optimize the arrangement position of the photovoltaic prefabricated pile and improve the arrangement rationality of the photovoltaic prefabricated pile. The soil data includes temperature, humidity, salinity, etc.

[0067] Further, in the method, an underground water data tracking model is constructed, and the underground water data is tracked through the underground water data tracking model, specifically:

[0068] The underground water data tracking model is constructed based on a deep neural network, and underground water data within a preset time is obtained, and an underground water data state transition matrix is constructed based on the underground water data within the preset time;

[0069] The state transition probability value of the state transition of the underground water data state at each timestamp in the underground water data state transition matrix to another underground water data state is calculated through a 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 underground water data state transition matrix is updated, and the updated underground water data state transition matrix is input into the underground water data tracking model for coding learning;

[0071] When the state transition probability value is not greater than the state transition probability threshold value, 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.

[0072] It should be noted that the Markov model is a calculation model of uncertain data state. When the state transition probability value is greater than the state transition probability threshold value, it indicates that the groundwater data state at the current time stamp is transferred to another groundwater data state. The data matrix is updated by the method, thereby improving the tracking accuracy of the groundwater data.

[0073] Further, in the method, real-time groundwater data of the arrangement position of each photovoltaic prefabricated pipe pile is obtained through tracking, and the arrangement area of the abnormal photovoltaic prefabricated pipe pile is obtained by evaluating the real-time groundwater data, specifically including:

[0074] The current time stamp groundwater data is updated by the groundwater data tracking model to obtain real-time groundwater data, and it is judged 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 arrangement area of the corresponding photovoltaic prefabricated pipe pile is regarded as the normal photovoltaic prefabricated pipe pile arrangement 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 arrangement area of the corresponding photovoltaic prefabricated pipe pile is regarded as the abnormal photovoltaic prefabricated pipe pile arrangement area, and is displayed in a preset manner.

[0077] It should be noted that the abnormal position can be monitored by the method.

[0078] Further, in the method, the abnormal photovoltaic prefabricated pipe pile arrangement area is prewarned, specifically:

[0079] The groundwater level data of the abnormal photovoltaic prefabricated pipe pile arrangement area is obtained, and the water level deviation data of each abnormal photovoltaic prefabricated pipe pile arrangement area within a preset time is calculated according to the groundwater level data of the abnormal photovoltaic prefabricated pipe pile arrangement area;

[0080] The warning level evaluation index is set, the water level deviation data of each abnormal photovoltaic prefabricated pipe pile arrangement area within a preset time is evaluated according to the warning level evaluation index, and the warning level of each abnormal photovoltaic prefabricated pipe pile arrangement area is obtained.

[0081] Generate relevant early warning information according to the early warning level of the arrangement area of each abnormal photovoltaic prefabricated pile, and perform early warning based on the relevant early warning information.

[0082] It should be noted that the early warning level includes high early warning level, medium early warning level, low early warning level, etc. Through the method, the early warning level can be assigned according to the water level data of groundwater, so as to monitor the abnormal arrangement area of the photovoltaic prefabricated pile.

[0083] In addition, the method further comprises:

[0084] Obtain the stability membership degree characteristic data of the photovoltaic prefabricated pile under each soil type data when installed, and input the stability membership degree characteristic data of the photovoltaic prefabricated pile under each soil type data when installed into the knowledge graph for storage;

[0085] Obtain the 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, obtain the stability membership degree characteristic data of the photovoltaic prefabricated pile in each sub-region when installed, and set a stability membership degree characteristic data threshold;

[0087] Obtain the sub-region where the stability membership degree characteristic data is greater than the stability membership degree characteristic data threshold, and take the sub-region where the stability membership degree characteristic data is greater than the stability membership degree characteristic data threshold as the arrangement area of the photovoltaic prestressed pipe pile, and update the final arrangement position of the photovoltaic prefabricated pile.

[0088] It should be noted that the stability of the pipe pile with the same predetermined installation depth is inconsistent for different soil types, such as the poor stability of the pipe pile installed in soft soil. The stability membership degree includes high stability, medium stability, low stability, etc. The pipe pile should be installed in a high stability area. Through the method, the arrangement rationality of the pipe pile can be further improved.

[0089] In addition, the method further comprises:

[0090] Obtain the arrangement area information required by the photovoltaic prestressed pipe pile, initialize the arrangement area according to the arrangement area information of the photovoltaic prestressed pipe pile and the final arrangement position of the photovoltaic prefabricated pile, and obtain the arrangement area information of each arrangement area;

[0091] Introduce a genetic algorithm, set the number of generations based on the genetic algorithm, count the arrangement area information of each arrangement area, obtain the total arrangement area information of the arrangement area, and determine whether the total arrangement area information is greater than the arrangement area information required by the photovoltaic prestressed pipe pile;

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

[0093] when the total layout area information is not greater than the layout area information required by the photovoltaic prestressed pipe pile, adjusting the layout area until the total layout area information is greater than the layout area information required by the photovoltaic prestressed pipe pile.

[0094] It should be noted that the genetic algorithm is used to select the optimal layout area according to the layout area information required by the photovoltaic prestressed pipe pile, so as to select the optimal solution and improve the layout rationality of the photovoltaic prestressed pipe pile.

[0095] As shown in Figure 3 The second aspect of the present application provides a photovoltaic prestressed pipe pile operation monitoring and management system 4, which comprises a memory 41 and a processor 42, the memory 41 comprises a photovoltaic prestressed pipe pile operation monitoring and management method program, and the photovoltaic prestressed pipe pile operation monitoring and management method program is executed by the processor 42 to realize the steps of any one of the photovoltaic prestressed pipe pile operation monitoring and management methods.

[0096] As shown in Figure 4 The third aspect of the present application provides an electronic device, which comprises:

[0097] The layout position first planning module 10 is responsible for acquiring groundwater data information of a target area position within a preset time, and screening an initial layout position of the photovoltaic prefabricated pipe pile according to the groundwater data information;

[0098] The layout position second planning module 20 is responsible for acquiring soil data of the initial layout position of the photovoltaic prefabricated pipe pile, and performing secondary screening according to the soil data of the initial layout position of the photovoltaic prefabricated pipe pile to acquire a final layout position of the photovoltaic prefabricated pipe pile;

[0099] The prefabricated pipe pile state tracking model 30 is responsible for arranging the photovoltaic prefabricated pipe pile according to the final layout position of the photovoltaic prefabricated pipe pile, 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 acquiring real-time groundwater data through tracking, evaluating the real-time groundwater data, acquiring an abnormal layout area of the photovoltaic prefabricated pipe pile, and performing early warning according to the abnormal layout area of the photovoltaic prefabricated pipe pile.

[0101] Further, in the device, groundwater data information within a preset time of a target area position is acquired, and an initial photovoltaic prefabricated pipe pile arrangement position is screened according to the groundwater data information, specifically:

[0102] The groundwater data information within the preset time of the target area position is acquired, and a groundwater level threshold data is set, and it is judged whether the groundwater data information within the preset time of the target area position is greater than the groundwater level threshold data;

[0103] A plan view of the target area is constructed, when the groundwater data information within the preset time of the target area position is greater than the groundwater level threshold data, the corresponding target area is taken as a normal area position;

[0104] When the groundwater data information within the preset time of the target area position is not greater than the groundwater level threshold data, the corresponding target area position is taken as an abnormal area, and the abnormal area is deleted from the plan view of the target area;

[0105] The normal area position in the plan view of the target area is marked to generate a marked area, and the marked area is taken as the initial photovoltaic prefabricated pipe pile arrangement position, and the initial photovoltaic prefabricated pipe pile arrangement position is displayed in a preset manner.

[0106] Further, in the device, soil data of the initial photovoltaic prefabricated pipe pile arrangement position is acquired, and the final photovoltaic prefabricated pipe pile arrangement position is acquired by secondary screening according to the soil data of the initial photovoltaic prefabricated pipe pile arrangement position, specifically:

[0107] Through big data, corrosion data of photovoltaic prefabricated pipe piles below each soil data is acquired, and a knowledge graph is constructed, the soil data is taken as a first graph node, the corrosion data is taken as a second graph node, and a directed description relationship is constructed;

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

[0109] The soil data of the initial photovoltaic prefabricated pipe pile arrangement position is acquired, the soil data of the initial photovoltaic prefabricated pipe pile arrangement position is input into the knowledge graph for data matching, and the corrosion data of the photovoltaic prefabricated pipe pile below the soil data of the initial photovoltaic prefabricated pipe pile arrangement position is acquired;

[0110] A corrosion data threshold is set, and the initial photovoltaic prefabricated pipe pile arrangement position corresponding to the corrosion data not greater than the corrosion data threshold is acquired, and the initial photovoltaic prefabricated pipe pile arrangement position corresponding to the corrosion data not greater than the corrosion data threshold is taken as the final photovoltaic prefabricated pipe pile arrangement position.

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

[0112] The 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 matrix is constructed according to the groundwater data within the preset time;

[0113] The state transition probability value of the groundwater data state transition from each timestamp in the groundwater data state transition matrix to another groundwater data state is calculated through a 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 transition matrix is maintained unchanged, and the groundwater data state transition matrix is input into the groundwater data tracking model for encoding learning.

[0116] Further, in the device, real-time groundwater data of the arrangement position of each photovoltaic prefabricated pipe pile is obtained through tracking, and the arrangement area of the abnormal photovoltaic prefabricated pipe pile is obtained by evaluating the real-time groundwater data, specifically including:

[0117] The groundwater data of the current timestamp is updated through the groundwater data tracking model to obtain real-time groundwater data, and it is judged 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 arrangement area of the corresponding photovoltaic prefabricated pipe pile is regarded as a normal photovoltaic prefabricated pipe pile arrangement 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 arrangement area of the corresponding photovoltaic prefabricated pipe pile is regarded as an abnormal photovoltaic prefabricated pipe pile arrangement area, and is displayed in a preset manner.

[0120] Further, in the device, a warning is given according to the arrangement area of the abnormal photovoltaic prefabricated pipe pile, specifically:

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

[0122] Set early warning level evaluation indexes, evaluate the early warning level of the water level deviation data of each abnormal photovoltaic prefabricated pipe pile in the arrangement area within a preset time according to the early warning level evaluation indexes, and obtain the early warning level of the arrangement area of each abnormal photovoltaic prefabricated pipe pile;

[0123] Generate relevant early warning information according to the early warning level of the arrangement area of each abnormal photovoltaic prefabricated pipe pile, and perform early warning based on the relevant early warning information.

[0124] The fourth aspect of the present application provides a computer readable storage medium comprising a photovoltaic prestressed pipe pile operation monitoring and management method program, which realizes the steps of any one of the photovoltaic prestressed pipe pile operation monitoring and management methods when executed by a processor.

[0125] In 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, and actual implementation can have another division mode, 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 or direct coupling or communication connection between the various components shown or discussed can be through some interface, indirect coupling or communication connection of the devices or units, which can be electrical, mechanical or other forms.

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

[0127] In addition, each functional unit in each embodiment of the present application can be integrated into one processing unit, or each unit can be a unit alone, or two or more units can be integrated into one unit; the integrated unit can be realized in the form of hardware or in the form of hardware plus software functional unit.

[0128] Those skilled in the art can understand that all or part of the steps of the above-mentioned method embodiments can be completed by program instruction related hardware, the foregoing program can be stored in a computer readable storage medium, and the program executes the steps of the method embodiments when executed; and the foregoing storage medium includes a mobile storage device, a read-only memory (ROM), a random access memory (RAM), a magnetic disc or an optical disc, and various storage medium capable of storing program codes.

[0129] Alternatively, the integrated unit of the present application can be stored in a computer readable storage medium if it is realized in the form of a software function module and sold or used as an independent product. Based on such understanding, the technical solutions of the embodiments of the present application can be embodied in the form of a software product, and the computer software product is stored in a storage medium, includes several instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute all or part of the embodiments of the method of the present application. The foregoing storage medium includes a mobile storage device, a ROM, a RAM, a magnetic disc or an optical disc, and various storage medium capable of storing program codes.

[0130] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited to this. Any person skilled in the art can easily think of changes or replacements within the technical range disclosed by the present application, which should be covered by the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for monitoring and managing photovoltaic prestressed pipe pile operations, characterized in that, include: Obtain groundwater data information of the target area within a preset time period, and filter out the initial layout positions of the photovoltaic precast pipe piles based on the groundwater data information; The soil data for the initial arrangement location of the photovoltaic precast pipe piles is obtained, and a second screening is performed based on the initial soil data for the arrangement location of the photovoltaic precast pipe piles to obtain the final arrangement location of the photovoltaic precast pipe piles. The photovoltaic precast pipe piles are arranged according to the final arrangement position of the photovoltaic precast pipe piles, and a groundwater data tracking model is constructed to track groundwater data through the groundwater data tracking model. By tracking, real-time groundwater data is obtained. By evaluating the real-time groundwater data, abnormal photovoltaic precast pipe pile layout areas are identified, and early warnings are issued based on the abnormal photovoltaic precast pipe pile layout areas.

2. The method for monitoring and managing photovoltaic prestressed pipe pile operations according to claim 1, characterized in that, Obtain groundwater data for the target area within a preset time period, and select the initial placement locations for precast photovoltaic pipe piles based on the groundwater data. Specifically: 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. Construct a plan view of the target area. When the groundwater data of the target area location is greater than the groundwater level threshold data within a preset time, the corresponding target area is regarded as the normal area location. When the groundwater data information of the target area location within a 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 plan of the target area. The normal area location is marked on the plan of the target area to generate a marked area, and the marked area is used as the initial arrangement position of the photovoltaic prefabricated pipe piles. The initial arrangement position of the photovoltaic prefabricated pipe piles is displayed according to a preset method.

3. The method for monitoring and managing photovoltaic prestressed pipe pile operations according to claim 1, characterized in that, The initial soil data for the placement of precast photovoltaic (PV) pipe piles is obtained, and a secondary screening is performed based on this initial soil data to obtain the final placement locations of the PV pipe piles. Specifically: Corrosion data of photovoltaic precast pipe piles under various soil data are obtained through big data, and a knowledge graph is constructed. Soil data is used as the first graph node and corrosion data is used as the second graph node to construct a directed descriptive relationship. Based on the directed description relationship, the nodes of the first graph and the nodes of the second graph are connected to construct a topology graph, and the topology graph is input into the knowledge graph for node representation. Soil data for the initial placement location of precast photovoltaic (PV) pipe piles is obtained, and the soil data for the initial placement location of precast PV pipe piles is input into the knowledge graph for data matching to obtain the corrosion data of the precast PV pipe piles under the soil data for the initial placement location of the precast PV pipe piles. Set a corrosion data threshold and obtain the initial arrangement position of the photovoltaic precast pipe piles corresponding to the corrosion data not exceeding the corrosion data threshold. Use the initial arrangement position of the photovoltaic precast pipe piles corresponding to the corrosion data not exceeding the corrosion data threshold as the final arrangement position of the photovoltaic precast pipe piles.

4. The method for monitoring and managing photovoltaic prestressed pipe pile operations according to claim 1, characterized in that, A groundwater data tracking model is constructed, and groundwater data is tracked using this model. Specifically: A groundwater data tracking model is constructed based on a deep neural network, and groundwater data within a preset time period is acquired. Groundwater data state transition moments are constructed based on the groundwater data within the preset time period. The state transition probability value of groundwater data state to another groundwater data state at each time point in the state transition moment of groundwater data is calculated using a 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 and 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 remains unchanged, and the groundwater data state transition matrix is ​​input into the groundwater data tracking model for encoding and learning.

5. The method for monitoring and managing photovoltaic prestressed pipe pile operations according to claim 1, characterized in that, By tracking, real-time groundwater data of the placement location of each photovoltaic precast pipe pile is obtained. The real-time groundwater data is then evaluated to identify areas with abnormal photovoltaic precast pipe pile placement, specifically including: The groundwater data tracking model is used to update the groundwater data at the current timestamp, obtain real-time groundwater data, and determine 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 precast pipe pile layout area will be used as the normal photovoltaic precast pipe pile layout area and displayed according to the preset method. When the real-time groundwater data is not greater than the groundwater level threshold data, the corresponding photovoltaic precast pipe pile layout area is designated as an abnormal photovoltaic precast pipe pile layout area and displayed according to a preset method.

6. The method for monitoring and managing photovoltaic prestressed pipe pile operations according to claim 1, characterized in that, An early warning will be issued based on the location of the abnormal photovoltaic precast pipe piles, specifically: Obtain groundwater level data for the areas where abnormal photovoltaic precast pipe piles are arranged, and calculate the water level deviation data for each area where abnormal photovoltaic precast pipe piles are arranged within a preset time based on the groundwater level data for the areas where abnormal photovoltaic precast pipe piles are arranged. Set up an early warning level evaluation index, and evaluate the early warning level of the water level deviation data of each abnormal photovoltaic precast pipe pile layout area within a preset time according to the early warning level evaluation index, and obtain the early warning level of each abnormal photovoltaic precast pipe pile layout area. Based on the warning level of each abnormal photovoltaic precast pipe pile layout area, relevant warning information is generated, and a warning is issued based on the relevant warning information.

7. A monitoring and management system for photovoltaic prestressed pipe pile operations, characterized in that, The device includes a memory and a processor. The memory includes a program for monitoring and managing photovoltaic prestressed pipe pile operations. When the processor executes the program for monitoring and managing photovoltaic prestressed pipe pile operations, it implements the steps of the photovoltaic prestressed pipe pile operation monitoring and management method as described in any one of claims 1-6.

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

9. A computer-readable storage medium, characterized in that, The method includes a monitoring and management program for photovoltaic prestressed pipe pile operations. When the monitoring and management program for photovoltaic prestressed pipe pile operations is executed by a processor, it implements the steps of the monitoring and management method for photovoltaic prestressed pipe pile operations as described in any one of claims 1-6.

Images