Cable structure photovoltaic power station system for large-span abandoned mine pit
By designing a comprehensive large-span waste pit cable structure photovoltaic power station system, using multiple sensors and monitoring equipment to monitor and analyze data in real time, and building a safety warning model, the problem of the existing technology being unable to warn the safety of the bracket system is solved, and the safety of the photovoltaic power station is realized is improved, and the safety of the power station is improved.
Patent Information
- Application Number
- CN202411739047.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-29
- Publication Date
- 2025-04-18
AI Technical Summary
The existing technology cannot provide early warning of the safety of photovoltaic power plant support systems in large span waste mine pits, resulting in safety hazards under extreme weather conditions.
A comprehensive large-span waste pit cable structure photovoltaic power station system is designed, including the control device end, the data acquisition end, the equipment end, the backend control end and the user mobile end. The system monitors the key parameters of the photovoltaic power station in real time through a variety of sensors and monitoring equipment, and builds multiple safety warning models to analyze data in real time to generate warning information.
Comprehensive monitoring and early warning of photovoltaic power plants has been achieved, the safety of the power plants has been improved, and potential safety hazards have been discovered and warned of in a timely manner, reducing safety risks under extreme weather conditions.
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Figure CN119853606A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of power equipment control and processing, and in particular to a photovoltaic power station system with a cable structure for a large-span abandoned mine. Background Art
[0002] Abandoned mines have become potential areas for renewable energy development due to their vast areas, especially for photovoltaic power generation, which can transform these idle spaces into green energy production bases, which not only promotes the secondary utilization of resources, but also helps alleviate energy shortages and environmental pollution. However, in actual applications, the deployment of photovoltaic support systems in abandoned mines with large spans and complex terrain faces significant challenges.
[0003] Traditional photovoltaic support systems are mainly designed for installation on flat or slightly inclined ground, relying on increasing the physical number of supports, using stronger materials or enhancing structural design to improve their span capacity to support photovoltaic panel arrays. However, this approach not only greatly increases the initial investment cost of the project, but also requires a large number of on-site welding, assembly and other processes, with a long construction period and high complexity, and high requirements for on-site working conditions, especially in abandoned mines that may be accompanied by unstable geology and harsh environments (such as windy and dusty). The long-term stability and durability of the system are difficult to guarantee, and maintenance costs also rise accordingly.
[0004] The existing technology has the following technical disadvantages: the existing technology requires a large number of brackets and materials to increase the span, the large number of brackets makes installation difficult, the bracket stability is poor, and the bracket system is easily damaged in harsh environments such as wind, snow, earthquakes, and temperature changes. The existing technology cannot provide early warning for the safety of the bracket system, resulting in safety hazards to the bracket system under extreme weather conditions. Summary of the invention
[0005] In view of the shortcomings of the prior art, the present invention provides a cable-structured photovoltaic power station system for a large-span abandoned mine, which solves the problem that the prior art is unable to provide early warning for the safety of the support system, resulting in safety hazards of the support system under extreme weather conditions.
[0006] The present invention provides a photovoltaic power station system for a large-span abandoned mine cable structure, comprising a control device end, a data collection end, an equipment end, a background control end and a user mobile end, wherein the equipment end comprises an end foundation, an end anti-pulling inclined anchor cable, a transverse main cable, a longitudinal main cable, an anti-wind cable device, an anti-loosening double-insurance end connector, and a main cable connector, wherein the transverse main cable is connected to the end anti-loosening double-insurance connector through a pre-buried steel pipe, the end anti-pulling inclined anchor cable is connected to the concrete top anti-loosening anchor through a pre-buried steel pipe, the longitudinal main cable is connected to the end foundation through an anchor, the anti-wind cable device is connected to the main cable through a rigid component to form a whole, the photovoltaic module is connected to the main cable through a connector, the data collection end comprises a sensor, the control device end establishes communication connections with the equipment end, the data collection end, the background control end and the user mobile end respectively, the control device end receives data collected by the data collection end, processes the data collected by the data collection end and outputs early warning information of the photovoltaic power station with a large-span abandoned mine cable structure, and transmits the early warning information of the photovoltaic power station with a large-span abandoned mine cable structure to the background control end and the user mobile end, and the control device end comprises:
[0007] A data acquisition unit, used to acquire data on the structure of large-span abandoned mine cables, environmental data, photovoltaic module performance data, safety monitoring data, and system operation status data;
[0008] A data classification unit is used to establish a first database, a second database, a third database, a fourth database and a fifth database, storing the long-span abandoned mine cable structure data in the first database, storing the environmental data in the second database, storing the photovoltaic module performance data in the third database, storing the safety monitoring data in the fourth database, and storing the system operation status data in the fifth database;
[0009] A model building unit is used to build a safety early warning model for the cable structure of a large-span abandoned mine pit using the cable structure data of a large-span abandoned mine pit, build an environmental data safety early warning model using environmental data, build a photovoltaic module performance safety early warning model using photovoltaic module performance data, build a safety monitoring early warning model using safety monitoring data, and build a system operation safety early warning model using system operation status data;
[0010] A data analysis unit is used to receive data collected by a data collection terminal, obtain real-time large-span abandoned mine cable structure data, real-time environmental data, real-time photovoltaic module performance data, real-time safety monitoring data and real-time system operation status data, substitute the real-time large-span abandoned mine cable structure data into a large-span abandoned mine cable structure safety warning model to obtain large-span abandoned mine cable structure safety warning data, substitute the real-time environmental data into an environmental data safety warning model to obtain environmental data safety warning data, substitute the real-time photovoltaic module performance data into a photovoltaic module performance safety warning model to obtain photovoltaic module performance safety warning data, substitute the real-time safety monitoring data into a safety monitoring warning model to obtain safety monitoring warning data, substitute the real-time system operation status data into a system operation safety warning model to obtain system operation safety warning data;
[0011] The early warning unit is used to aggregate the safety early warning data of the large-span abandoned mine cable structure, the environmental data safety early warning data, the photovoltaic module performance safety early warning data, the photovoltaic module performance safety early warning data, the safety monitoring early warning data and the system operation safety early warning data to obtain the safety early warning data information, and send the safety early warning data information to the background control terminal and the user mobile terminal.
[0012] Furthermore, in the large-span abandoned mine cable structure photovoltaic power station system of the present invention, the data acquisition unit is also used for:
[0013] Install sensors in the mine, including displacement sensors, stress sensors, temperature sensors, humidity sensors, and light intensity sensors;
[0014] Establishing a communication connection between the sensor and the control device, installing equipment performance monitoring equipment on the photovoltaic module, the equipment performance monitoring equipment including a current and voltage monitor and a power monitor, for obtaining performance data of the photovoltaic module;
[0015] Safety monitoring equipment is installed in the mine, including cameras and infrared detectors, to obtain safety monitoring data.
[0016] Furthermore, in the large-span abandoned mine cable structure photovoltaic power station system of the present invention, the data classification unit is also used for:
[0017] The first database is used to store the data of the cable structure of the large-span abandoned mine;
[0018] The second database is used to store environmental data;
[0019] The third database is used to store photovoltaic module performance data;
[0020] The fourth database is used to store safety monitoring data;
[0021] The fifth database is used to store system operation status data.
[0022] Furthermore, in the large-span abandoned mine cable structure photovoltaic power station system of the present invention, the model building unit is also used for:
[0023] Obtain long-span abandoned mine cable structure data, environmental data, photovoltaic module performance data, safety monitoring data and system operation status data from the corresponding database or data source.
[0024] The acquired data is preprocessed and divided into training sets and test sets, obtaining training sets and test sets of abandoned mine cable structure data with large span, training sets and test sets of environmental data, training sets and test sets of photovoltaic module performance data, training sets and test sets of safety monitoring data, and training sets and test sets of system operation status data;
[0025] The model is trained using the training set and test set of large-span abandoned mine cable structure data to obtain a safety early warning model for large-span abandoned mine cable structures.
[0026] The model is trained using the environmental data training set and test set to obtain an environmental data security early warning model;
[0027] The model is trained using the photovoltaic module performance data training set and test set to obtain a photovoltaic module performance safety early warning model;
[0028] The model is trained using the safety monitoring data training set and test set to obtain a safety monitoring early warning model;
[0029] The model is trained using the system operation status data training set and test set to obtain a system operation safety warning model.
[0030] Furthermore, in the large-span abandoned mine cable structure photovoltaic power station system of the present invention, the data analysis unit is also used for:
[0031] The received data is classified according to type to obtain real-time large-span abandoned mine cable structure data, real-time environmental data, real-time photovoltaic module performance data, real-time safety monitoring data, and real-time system operation status data;
[0032] Temporarily storing the classified data in a corresponding buffer area and preprocessing the data to obtain preprocessed classified data;
[0033] Load the trained early warning model from the model library, which includes the safety early warning model of the large-span abandoned mine cable structure, the environmental data safety early warning model, the photovoltaic module performance safety early warning model, the safety monitoring early warning model, and the system operation safety early warning model;
[0034] Receive preset warning thresholds, including the safety warning thresholds for abandoned mine cable structures with large spans, environmental data safety warning thresholds, photovoltaic module performance safety warning thresholds, safety monitoring warning thresholds, and system operation safety warning thresholds;
[0035] The safety warning data of the large-span abandoned mine cable structure is compared with the safety warning threshold of the large-span abandoned mine cable structure to obtain the safety warning data of the large-span abandoned mine cable structure; the environmental data safety warning data is compared with the environmental data safety warning threshold to obtain the environmental data safety warning data; the photovoltaic module performance safety warning data is compared with the photovoltaic module performance safety warning threshold to obtain the photovoltaic module performance safety warning data; the safety monitoring warning data is compared with the safety monitoring warning threshold to obtain the photovoltaic module performance safety warning data; the system operation safety warning data is compared with the system operation safety warning threshold to obtain the system operation safety warning data.
[0036] Furthermore, in the photovoltaic power station system for a large-span abandoned mine cable structure of the present invention, the early warning unit is also used for:
[0037] The safety warning data information is compared with the preset safety data error range value. If there is a value greater than the preset safety data error range value in the safety warning data information, the warning model corresponding to the value greater than the preset safety data error range value is marked as a model to be optimized.
[0038] Furthermore, in the photovoltaic power station system for a large-span abandoned mine cable structure of the present invention, the early warning unit is also used for:
[0039] Obtain the historical data of the model to be optimized and the optimization target corresponding to the model to be optimized, optimize the model to be optimized using a genetic algorithm based on the historical data of the model to be optimized and the optimization target corresponding to the model to be optimized, obtain the optimized model, and replace the optimized safety warning model with the optimized model.
[0040] Beneficial effects of the present invention;
[0041] By integrating multiple sensors and monitoring equipment, the present invention can monitor various key parameters of the large-span abandoned mine cable structure photovoltaic power station in real time and comprehensively, including but not limited to the cable structure status, environmental conditions, photovoltaic module performance, safety status and system operation status. This comprehensive monitoring capability enables the system to detect potential safety hazards in a timely manner and improve the safety of the power station.
[0042] Using advanced data processing and analysis technology, the present invention builds multiple safety warning models that can quickly generate warning information based on real-time data. When the system detects an abnormal situation, it can immediately send warning notifications to relevant personnel through the background control terminal and the user's mobile terminal, thereby ensuring that they can respond quickly and take measures to prevent accidents from happening or expanding.
[0043] Through automated monitoring and early warning, the present invention significantly reduces the frequency and difficulty of manual inspections, and reduces the workload of operation and maintenance personnel. At the same time, since the system can detect potential problems in advance, operation and maintenance personnel can carry out maintenance and repair work in a targeted manner, thus improving the efficiency and effectiveness of operation and maintenance.
[0044] The present invention can provide a scientific basis for resource allocation of power stations through data analysis and model prediction. For example, based on the performance data of photovoltaic modules and weather forecast information, the system can optimize the power generation plan and improve the power generation efficiency and economic benefits of the power station. By converting abandoned mines into photovoltaic power stations, the present invention not only solves the environmental problems of abandoned mines, but also promotes the development and utilization of renewable energy. This innovative model helps promote the development of green energy, reduce dependence on traditional energy, and is of great significance to environmental protection and sustainable development.
[0045] The present invention also has the ability to dynamically optimize the model. By continuously collecting and analyzing new data, the system can automatically identify and improve the performance of the early warning model to ensure that it can maintain high accuracy under various working conditions. This adaptive capability enables the system to effectively provide long-term protection for the safe operation of the power station.
[0046] In summary, the present invention provides a strong guarantee for the safe, stable and efficient operation of the abandoned mine cable-structure photovoltaic power station through comprehensive monitoring, intelligent early warning, efficient operation and maintenance, optimized resource allocation and sustainable development model. BRIEF DESCRIPTION OF THE DRAWINGS
[0047] In order to more clearly illustrate the technical solution of the present invention, the following is a brief introduction to the drawings required for use in the embodiments. Obviously, for ordinary technicians in this field, other drawings can be obtained based on the drawings without paying any creative labor.
[0048] Figure 1 A schematic diagram of the functional modules included in a large-span abandoned mine cable structure photovoltaic power station system provided in an embodiment of the present invention. DETAILED DESCRIPTION
[0049] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described in conjunction with the specific embodiments of the present invention and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. The technical solutions provided by the embodiments of the present invention are described in detail below in conjunction with the drawings.
[0050] In order to better understand the purpose of the present invention, the present invention is described in further detail below.
[0051] The present invention provides a photovoltaic power station system for a large-span abandoned mine cable structure, comprising a control device end, a data collection end, an equipment end, a background control end and a user mobile end, wherein the equipment end comprises an end foundation, an end anti-pulling inclined anchor cable, a transverse main cable, a longitudinal main cable, an anti-wind cable device, an anti-loosening double-insurance end connector, and a main cable connector, wherein the transverse main cable is connected to the end anti-loosening double-insurance connector through a pre-buried steel pipe, the end anti-pulling inclined anchor cable is connected to the concrete top anti-loosening anchor through a pre-buried steel pipe, the longitudinal main cable is connected to the end foundation through an anchor, the anti-wind cable device is connected to the main cable through a rigid component to form a whole, the photovoltaic module is connected to the main cable through a connector, the data collection end comprises a sensor, the control device end establishes communication connections with the equipment end, the data collection end, the background control end and the user mobile end respectively, the control device end receives data collected by the data collection end, processes the data collected by the data collection end and outputs early warning information of the photovoltaic power station with a large-span abandoned mine cable structure, and transmits the early warning information of the photovoltaic power station with a large-span abandoned mine cable structure to the background control end and the user mobile end, and the control device end comprises:
[0052] A data acquisition unit, used to acquire data on the structure of large-span abandoned mine cables, environmental data, photovoltaic module performance data, safety monitoring data, and system operation status data;
[0053] The data acquisition unit is used to acquire various types of data from different sources in the large-span abandoned mine cable structure photovoltaic power station system of the present invention to support the monitoring, analysis and early warning functions of the entire system. Specifically, the data acquisition unit is responsible for acquiring the following types of data:
[0054] Large-span abandoned mine cable structure data: This data includes the physical state and structural health information of the cable structure in the mine. For example, the cable tension, deformation, and stability of the anchor points. These data are crucial for evaluating the overall stability and safety of the cable structure.
[0055] Environmental data: Environmental data includes climate and environmental conditions in and around the mine, such as temperature, humidity, wind speed, wind direction, rainfall, etc. These data are critical to understanding the impact of the external environment on the photovoltaic power station and predicting potential extreme weather conditions.
[0056] PV module performance data: reflects the power generation efficiency and operating status of PV modules, such as current, voltage, power output, etc. By continuously monitoring this data, the performance degradation or failure of PV modules can be discovered in time to ensure the power generation efficiency of the power station.
[0057] Safety monitoring data: Safety monitoring data mainly includes safety-related information obtained through cameras, infrared detectors and other equipment. For example, it monitors whether there are people illegally entering the power station area, or whether there are safety hazards such as fire sources.
[0058] System operation status data: The operation status of various equipment and systems in the photovoltaic power station, such as the working status of the inverter, the grid connection status, etc. By monitoring this data, system-level faults or abnormal conditions can be discovered and handled in a timely manner.
[0059] The data acquisition unit obtains the above data through various sensors, monitoring equipment installed in the mine and monitoring devices directly connected to the photovoltaic modules. These data are then transmitted to the control device for further processing and analysis to support the system's early warning.
[0060] A data classification unit is used to establish a first database, a second database, a third database, a fourth database and a fifth database, storing the long-span abandoned mine cable structure data in the first database, storing the environmental data in the second database, storing the photovoltaic module performance data in the third database, storing the safety monitoring data in the fourth database, and storing the system operation status data in the fifth database;
[0061] The data classification unit is responsible for classifying and storing the collected data according to different types in the large-span abandoned mine cable structure photovoltaic power station system of the present invention. Specifically, the data classification unit will establish five independent databases, each database corresponding to one type of data:
[0062] The first database is used to store the data of cable structures in abandoned mines with large spans. This type of data includes the physical parameters, stress state, deformation, etc. of the cable structure, which are indicators for evaluating the safety of the cable structure.
[0063] Second database: used to store environmental data. Environmental data covers climate conditions and natural disaster risks in and around the mine, such as temperature, humidity, wind speed, wind direction, rainfall, etc.
[0064] The third database is used to store the performance data of photovoltaic modules. This type of data includes the current, voltage, power output, etc. of the photovoltaic modules, which reflects the power generation efficiency and operating status of the photovoltaic modules.
[0065] The fourth database is used to store security monitoring data. The security monitoring data mainly comes from cameras, infrared detectors and other equipment installed in the mine, which are used to monitor the security status of the power station area, such as potential threats such as illegal intrusion and fire.
[0066] The fifth database is used to store system operation status data. It describes the operation status of various equipment and systems in the photovoltaic power station, such as inverters, grid connection status, etc. It is an important basis for evaluating the operation efficiency and stability of the entire power station.
[0067] Through the establishment and management of data classification units, the system can efficiently classify, store and retrieve various types of data, providing a solid foundation for subsequent data analysis and early warning.
[0068] A model building unit is used to build a safety early warning model for the cable structure of a large-span abandoned mine pit using the cable structure data of a large-span abandoned mine pit, build an environmental data safety early warning model using environmental data, build a photovoltaic module performance safety early warning model using photovoltaic module performance data, build a safety monitoring early warning model using safety monitoring data, and build a system operation safety early warning model using system operation status data;
[0069] The model building unit is responsible for building different safety warning models using the collected data in the large-span abandoned mine cable structure photovoltaic power station system of the present invention, so as to realize comprehensive monitoring and early warning of the photovoltaic power station. The following are the specific functions and working principles of the model building unit:
[0070] Safety early warning model for large-span abandoned mine cable structures:
[0071] Data source: Cable structure data of large-span abandoned mines, including cable tension, deformation, anchor point stability and other information.
[0072] Construction process: Use machine learning or deep learning algorithms to train these data and build a model that can predict the safety status of cable structures. The model can predict whether there are safety hazards or impending safety accidents based on the current cable structure data.
[0073] Environmental data security early warning model:
[0074] Data source: Environmental data, including temperature, humidity, wind speed, wind direction, rainfall and other climate and environmental conditions.
[0075] Construction process: By analyzing the relationship between historical environmental data and safety accidents of photovoltaic power plants, a model that can predict the impact of extreme weather conditions on photovoltaic power plants is constructed. The model can issue early warnings before adverse weather conditions occur, helping power plants to take preventive measures in advance.
[0076] Photovoltaic module performance safety early warning model:
[0077] Data source: PV module performance data, such as current, voltage, power output, etc.
[0078] Construction process: Use this data to train a model that can predict changes in PV panel performance. When the model detects that the panel performance is degraded or there are signs of failure, it will issue an early warning to remind maintenance personnel to conduct inspections and repairs.
[0079] Safety monitoring and early warning model:
[0080] Data source: Security monitoring data mainly comes from cameras, infrared detectors and other equipment.
[0081] Construction process: By analyzing the security monitoring data, a model is constructed that can automatically identify potential security threats. For example, the model can identify security risks such as illegal intruders and fires, and issue early warnings in a timely manner.
[0082] System operation safety early warning model:
[0083] Data source: system operation status data, such as inverter working status, grid connection status, etc.
[0084] Construction process: Use this data to train a model that can predict the system's operating status. When the model detects an abnormality or failure in the system, it will issue an early warning so that maintenance personnel can take quick measures to repair it.
[0085] By constructing these safety warning models, the large-span abandoned mine cable structure photovoltaic power station system of the present invention can achieve comprehensive monitoring and early warning of the photovoltaic power station, effectively improving the safety of the power station.
[0086] A data analysis unit is used to receive data collected by a data collection terminal, obtain real-time large-span abandoned mine cable structure data, real-time environmental data, real-time photovoltaic module performance data, real-time safety monitoring data and real-time system operation status data, substitute the real-time large-span abandoned mine cable structure data into a large-span abandoned mine cable structure safety warning model to obtain large-span abandoned mine cable structure safety warning data, substitute the real-time environmental data into an environmental data safety warning model to obtain environmental data safety warning data, substitute the real-time photovoltaic module performance data into a photovoltaic module performance safety warning model to obtain photovoltaic module performance safety warning data, substitute the real-time safety monitoring data into a safety monitoring warning model to obtain safety monitoring warning data, substitute the real-time system operation status data into a system operation safety warning model to obtain system operation safety warning data;
[0087] The data analysis unit receives the data collected by the data acquisition end in real time in the large-span abandoned mine cable structure photovoltaic power station system of the present invention, and processes and analyzes the data to obtain the current safety status and potential risks of the power station. The following is the specific workflow of the data analysis unit:
[0088] The data analysis unit first receives various real-time data from the data acquisition end, including large-span abandoned mine cable structure data, environmental data, photovoltaic module performance data, safety monitoring data and system operation status data.
[0089] The received data will be classified according to its type, such as real-time large-span abandoned mine cable structure data, real-time environmental data, etc.
[0090] The classified data will be temporarily stored in the corresponding buffer area and preprocessed, such as denoising and formatting, to ensure the quality and consistency of the data.
[0091] The data analysis unit will load various trained safety warning models from the model library, including the safety warning model of large-span abandoned mine cable structure, the environmental data safety warning model, etc.
[0092] Then, the preprocessed real-time data is substituted into the corresponding early warning model. For example, the real-time large-span abandoned mine cable structure data is substituted into the cable structure safety early warning model to evaluate the safety of the current cable structure.
[0093] Through model calculations, the data analysis unit generates various safety warning data. For example, the cable structure safety warning model outputs the current safety status score or potential risk level of the cable structure. Similarly, the environmental data safety warning model analyzes real-time environmental data, predicts the possible impact of extreme weather conditions on the power station, and generates corresponding warning information.
[0094] The data analysis unit also receives preset warning thresholds, such as cable structure safety thresholds, environmental safety thresholds, etc.
[0095] The generated warning data is compared with these thresholds to determine whether the current power plant status reaches or exceeds the warning level.
[0096] If any warning data reaches or exceeds the preset threshold, the data analysis unit will organize and summarize the warning information and transmit it to the background control terminal and the user's mobile terminal through the communication connection.
[0097] Through the real-time data processing and analysis capabilities of the data analysis unit, the large-span abandoned mine cable structure photovoltaic power station system of the present invention can achieve comprehensive monitoring and early warning of the power station safety, effectively improving the safety of the power station.
[0098] The early warning unit is used to aggregate the safety early warning data of the large-span abandoned mine cable structure, the environmental data safety early warning data, the photovoltaic module performance safety early warning data, the photovoltaic module performance safety early warning data, the safety monitoring early warning data and the system operation safety early warning data to obtain the safety early warning data information, and send the safety early warning data information to the background control terminal and the user mobile terminal.
[0099] The early warning unit is responsible for summarizing various safety early warning data generated by the data analysis unit in the large-span abandoned mine cable structure photovoltaic power station system of the present invention, and forming unified safety early warning data information, and then sending these important information to the background control terminal and the user mobile terminal in a timely manner to ensure that relevant personnel can quickly obtain and respond to potential safety risks. The following is a detailed description of the specific work flow and functions of the early warning unit:
[0100] The early warning unit first receives various safety early warning data from the data analysis unit, including safety early warning data of large-span abandoned mine cable structures, environmental data safety early warning data, photovoltaic module performance safety early warning data (note that one should be removed for repeated mentions), safety monitoring early warning data, and system operation safety early warning data. Then, the early warning unit will integrate and summarize these data to form a comprehensive safety early warning data information that reflects the current safety status of the power station.
[0101] Based on the data aggregation, the early warning unit will evaluate the aggregated security warning data according to the preset warning level standards to determine the current security warning level. The warning level may include different levels such as minor, moderate, and severe, so that relevant personnel can intuitively understand the severity of security risks.
[0102] Based on the determined warning level, the warning unit will generate specific warning information, including warning type, warning level, warning time, warning reason and recommended response measures.
[0103] The early warning unit sends the generated safety warning data information to the backend control terminal and the user mobile terminal in a timely manner through the communication connection. The backend control terminal is usually a platform for power station managers to monitor the operation status of the power station, while the user mobile terminal may be a portable device such as a mobile phone or tablet of the power station manager or relevant responsible person.
[0104] After sending the warning information, the warning unit can also track the response to the warning, such as whether anyone has checked the warning information and whether corresponding response measures have been taken.
[0105] Specifically, in the large-span abandoned mine cable structure photovoltaic power station system of the present invention, the data acquisition unit is also used for:
[0106] Install sensors in the mine, including displacement sensors, stress sensors, temperature sensors, humidity sensors, and light intensity sensors;
[0107] Establishing a communication connection between the sensor and the control device, installing equipment performance monitoring equipment on the photovoltaic module, the equipment performance monitoring equipment including a current and voltage monitor and a power monitor, for obtaining performance data of the photovoltaic module;
[0108] Safety monitoring equipment is installed in the mine, including cameras and infrared detectors, to obtain safety monitoring data.
[0109] Data acquisition unit detailed functions
[0110] Sensor installation and configuration:
[0111] Displacement sensor: installed at key positions of the mine rope structure, used to monitor the displacement changes of the rope structure in real time, reflecting the stability and possible deformation of the structure.
[0112] Stress sensor: Also arranged on the cable structure, it is used to measure the stress state of the cable and help evaluate the bearing capacity and safety of the structure.
[0113] Temperature sensors and humidity sensors: installed inside and outside the mine, they monitor ambient temperature and humidity, provide data support for the environmental data security early warning model, and also help evaluate the working environment and efficiency of photovoltaic modules.
[0114] Light intensity sensor: Installed near the photovoltaic module, it directly measures the sunlight intensity, which is crucial for the performance evaluation of photovoltaic modules and the prediction of power generation efficiency.
[0115] Communication connection between sensor and control device:
[0116] All sensors establish stable and reliable communication connections with the control device through wired or wireless means, ensuring that the data collected by the sensors can be transmitted to the data analysis unit in real time and accurately for subsequent processing.
[0117] Photovoltaic module performance monitoring:
[0118] Install equipment performance monitoring equipment on PV panels, including current and voltage monitors and power monitors.
[0119] The current and voltage monitor is used to monitor the current and voltage output of photovoltaic modules in real time, reflecting the power generation capacity and health status of the modules.
[0120] The power monitor directly measures the power output of the PV module, providing key data for the PV module performance safety early warning model.
[0121] Safety monitoring equipment installation:
[0122] Install safety monitoring equipment such as cameras and infrared detectors in key areas within the mine.
[0123] The camera is used to monitor the safety conditions in the mine in real time, including personnel activities, equipment operating status, etc., and provide visual information for the safety monitoring and early warning model.
[0124] Infrared detectors are used to detect abnormal temperatures or potential fire sources in mines, and to promptly discover and warn of safety hazards such as fires.
[0125] Through the above-mentioned detailed sensor installation, equipment configuration and data collection measures, the data acquisition unit can comprehensively and accurately obtain various key data of the large-span abandoned mine cable structure photovoltaic power station system, providing a solid data foundation for subsequent data analysis, safety warning and system optimization.
[0126] Specifically, in the large-span abandoned mine cable structure photovoltaic power station system of the present invention, the data classification unit is also used for:
[0127] The first database is used to store the data of the cable structure of the large-span abandoned mine;
[0128] The second database is used to store environmental data;
[0129] The third database is used to store photovoltaic module performance data;
[0130] The fourth database is used to store safety monitoring data;
[0131] The fifth database is used to store system operation status data.
[0132] In further detailing the photovoltaic power station system for abandoned mines with large spans, the role and function of the data classification unit are clearly defined. The data classification unit is a key part of the system responsible for classifying and storing data according to its type and purpose to ensure the organization, readability and efficient use of the data. The following is the work content of the data classification unit in the system:
[0133] The first database: data on cable structures in large-span abandoned mines. This database is specifically used to store data on cable structures in large-span abandoned mines collected by displacement sensors, stress sensors, etc. The data includes key parameters such as displacement, stress, and deformation of the cable structure, which is an important basis for evaluating the safety and stability of the cable structure.
[0134] The second database: environmental data, this database is used to store environmental data collected by temperature sensors, humidity sensors, light intensity sensors, etc. Environmental data reflects the natural environmental conditions of the photovoltaic power station, and has an important impact on the performance of photovoltaic modules, the operating efficiency of the system, and the accuracy of the safety warning model.
[0135] The third database: photovoltaic module performance data, which stores photovoltaic module performance data collected by current and voltage monitors, power monitors and other equipment. These data include the current, voltage, power output, etc. of photovoltaic modules, which are the basis for evaluating module performance, predicting power generation efficiency, and conducting photovoltaic module performance safety warnings.
[0136] The fourth database: safety monitoring data, which is used to store data collected by safety monitoring equipment such as cameras and infrared detectors. Safety monitoring data includes video recordings, infrared images, etc., which are used to monitor the safety status in the mine in real time and promptly discover and warn potential safety hazards.
[0137] The fifth database: system operation status data, which stores data reflecting the operation status of the entire photovoltaic power station system, such as the working status of the inverter, the grid connection status, system fault records, etc.
[0138] By storing various types of data in different databases through the data classification unit, the large-span abandoned mine cable structure photovoltaic power station system of the present invention can achieve effective management and efficient use of data. This not only improves the readability and maintainability of the data, but also facilitates subsequent data analysis, safety warning and system optimization.
[0139] Specifically, in the cable-structure photovoltaic power station system for a large-span abandoned mine described in the present invention, the model building unit is also used for:
[0140] Obtain long-span abandoned mine cable structure data, environmental data, photovoltaic module performance data, safety monitoring data and system operation status data from the corresponding database or data source.
[0141] The acquired data is preprocessed and divided into training sets and test sets, obtaining training sets and test sets of abandoned mine cable structure data with large span, training sets and test sets of environmental data, training sets and test sets of photovoltaic module performance data, training sets and test sets of safety monitoring data, and training sets and test sets of system operation status data;
[0142] The model is trained using the training set and test set of large-span abandoned mine cable structure data to obtain a safety early warning model for large-span abandoned mine cable structures.
[0143] The model is trained using the environmental data training set and test set to obtain an environmental data security early warning model;
[0144] The model is trained using the photovoltaic module performance data training set and test set to obtain a photovoltaic module performance safety early warning model;
[0145] The model is trained using the safety monitoring data training set and test set to obtain a safety monitoring early warning model;
[0146] The model is trained using the system operation status data training set and test set to obtain a system operation safety warning model.
[0147] In further detailing the photovoltaic power station system for large-span abandoned mine cable structures described in the present invention, the role and function of the model building unit are elaborated in detail. The model building unit is the key part of the system responsible for building various safety warning models. By obtaining data from the corresponding database or data source, preprocessing the data, dividing the training set and the test set, and using these data sets to train the model, various safety warning models are finally obtained. The following is the work content of the model building unit in the system:
[0148] Acquire the long-span abandoned mine cable structure data from the first database;
[0149] Acquire environmental data from a second database;
[0150] Acquire photovoltaic module performance data from a third database;
[0151] Acquiring safety monitoring data from a fourth database;
[0152] The system operation status data is obtained from the fifth database.
[0153] Clean the acquired data to remove outliers, missing values, etc.
[0154] Normalize or standardize the data to ensure that the value ranges between different features are consistent;
[0155] Perform feature extraction or feature selection on the data as needed to extract information useful for model training.
[0156] Divide the preprocessed data into training set and test set;
[0157] The training set is used to train the model, and the test set is used to evaluate the performance of the model;
[0158] Make sure the data distribution of the training set and the test set is consistent to avoid overfitting or underfitting the model.
[0159] The model is trained using the large-span abandoned mine cable structure data training set to obtain a large-span abandoned mine cable structure safety early warning model;
[0160] Use the environmental data training set to train the model and obtain an environmental data security early warning model;
[0161] The model is trained using the photovoltaic module performance data training set to obtain a photovoltaic module performance safety early warning model;
[0162] The model is trained using the safety monitoring data training set to obtain a safety monitoring early warning model;
[0163] The model is trained using the system operation status data training set to obtain a system operation safety early warning model.
[0164] Model evaluation and optimization:
[0165] Use the corresponding test set to evaluate the trained model and calculate the model's accuracy, recall, F1 score and other indicators;
[0166] According to the evaluation results, optimize the model, such as adjusting model parameters, selecting a more appropriate algorithm, etc.
[0167] Repeat the steps of data partitioning, model training, and model evaluation until a model with satisfactory performance is obtained.
[0168] Through the above-mentioned working process of the model building unit, the large-span abandoned mine cable structure photovoltaic power station system of the present invention can build an accurate and reliable safety warning model to provide strong support for the safe operation of the system.
[0169] Specifically, in the large-span abandoned mine cable structure photovoltaic power station system of the present invention, the data analysis unit is also used for:
[0170] The received data is classified according to type to obtain real-time large-span abandoned mine cable structure data, real-time environmental data, real-time photovoltaic module performance data, real-time safety monitoring data, and real-time system operation status data;
[0171] Temporarily storing the classified data in a corresponding buffer area and preprocessing the data to obtain preprocessed classified data;
[0172] Load the trained early warning model from the model library, which includes the safety early warning model of the large-span abandoned mine cable structure, the environmental data safety early warning model, the photovoltaic module performance safety early warning model, the safety monitoring early warning model, and the system operation safety early warning model;
[0173] Receive preset warning thresholds, including the safety warning thresholds for abandoned mine cable structures with large spans, environmental data safety warning thresholds, photovoltaic module performance safety warning thresholds, safety monitoring warning thresholds, and system operation safety warning thresholds;
[0174] The safety warning data of the large-span abandoned mine cable structure is compared with the safety warning threshold of the large-span abandoned mine cable structure to obtain the safety warning data of the large-span abandoned mine cable structure; the environmental data safety warning data is compared with the environmental data safety warning threshold to obtain the environmental data safety warning data; the photovoltaic module performance safety warning data is compared with the photovoltaic module performance safety warning threshold to obtain the photovoltaic module performance safety warning data; the safety monitoring warning data is compared with the safety monitoring warning threshold to obtain the photovoltaic module performance safety warning data; the system operation safety warning data is compared with the system operation safety warning threshold to obtain the system operation safety warning data.
[0175] In further detailing the photovoltaic power station system for a large-span abandoned mine cable structure described in the present invention, the data analysis unit is the part of the system responsible for receiving, classifying, and preprocessing data, and applying early warning models and early warning thresholds to perform data analysis to generate early warning signals.
[0176] Receive real-time data from a data acquisition unit or other data source;
[0177] The data is classified according to the data type to obtain real-time large-span abandoned mine cable structure data, real-time environmental data, real-time photovoltaic module performance data, real-time safety monitoring data and real-time system operation status data.
[0178] Temporarily store the classified data in the corresponding buffer area for subsequent processing;
[0179] The data in the buffer area is preprocessed, such as data cleaning, data conversion, feature extraction, etc., to obtain preprocessed classified data.
[0180] Load the trained early warning model from the model library;
[0181] The model library includes the safety warning model of large-span abandoned mine cable structure, the environmental data safety warning model, the photovoltaic module performance safety warning model, the safety monitoring warning model and the system operation safety warning model.
[0182] Receive preset warning thresholds, including the safety warning threshold for large-span abandoned mine cable structures, the safety warning threshold for environmental data, the safety warning threshold for photovoltaic module performance, the safety monitoring warning threshold, and the safety warning threshold for system operation; these thresholds are important bases for judging whether the data meets the warning conditions.
[0183] The pre-processed large-span abandoned mine cable structure data is compared with the corresponding safety warning threshold to determine whether the warning condition is met, and the safety warning data of the large-span abandoned mine cable structure is obtained;
[0184] Compare the preprocessed environmental data with the corresponding environmental data security warning threshold to determine whether the warning condition is met and obtain environmental data security warning data;
[0185] Compare the preprocessed photovoltaic module performance data with the corresponding photovoltaic module performance safety warning threshold to determine whether the warning condition is met and obtain photovoltaic module performance safety warning data;
[0186] (Note: There is an error in the original text. It should be "compare the safety monitoring warning data with the safety monitoring warning threshold to obtain the safety monitoring warning data") Compare the pre-processed safety monitoring data with the corresponding safety monitoring warning threshold to determine whether the warning condition is met and obtain the safety monitoring warning data;
[0187] The preprocessed system operation status data is compared with the corresponding system operation safety warning threshold to determine whether the warning condition is met and obtain the system operation safety warning data.
[0188] Generate corresponding warning signals based on the data comparison results;
[0189] Send early warning signals to the early warning unit or relevant responsible persons so that timely measures can be taken to deal with potential safety risks.
[0190] Through the above-mentioned working process of the data analysis unit, the large-span abandoned mine cable structure photovoltaic power station system of the present invention can realize the real-time reception, classification, preprocessing and early warning judgment of various types of data, and provide timely and accurate early warning information for the safe operation of the system.
[0191] Specifically, in the photovoltaic power station system for a large-span abandoned mine cable structure of the present invention, the early warning unit is also used for:
[0192] The safety warning data information is compared with the preset safety data error range value. If there is a value greater than the preset safety data error range value in the safety warning data information, the warning model corresponding to the value greater than the preset safety data error range value is marked as a model to be optimized.
[0193] Specifically, in the photovoltaic power station system for a large-span abandoned mine cable structure of the present invention, the early warning unit is also used for:
[0194] Obtain the historical data of the model to be optimized and the optimization target corresponding to the model to be optimized, optimize the model to be optimized using a genetic algorithm based on the historical data of the model to be optimized and the optimization target corresponding to the model to be optimized, obtain the optimized model, and replace the optimized safety warning model with the optimized model.
[0195] In further refining the photovoltaic power station system for large-span abandoned mine cable structures described in the present invention, the functions of the early warning unit are expanded, and it is not only responsible for generating early warning signals based on safety early warning data information, but also responsible for optimizing and updating the model.
[0196] The early warning unit receives the safety early warning data information from the data analysis unit, and compares the safety early warning data information with the preset safety data error range value. If it is found that the safety early warning data information contains a value greater than the preset safety data error range value, it means that the current model may have inaccurate predictions or performance degradation problems.
[0197] For early warning models that produce values greater than the preset safety data error range, the early warning unit marks them as models to be optimized, which means that these models need further optimization to improve their prediction accuracy and performance.
[0198] The early warning unit obtains the historical data of the model to be optimized, including its past prediction results, actual observations, and possible error analysis; at the same time, it clarifies the optimization goals of the model to be optimized, such as improving prediction accuracy, reducing false alarm rate or missed alarm rate, etc.
[0199] The optimization model to be optimized is optimized using optimization algorithms such as genetic algorithms. Genetic algorithms search for optimal solutions by simulating natural selection and genetic mechanisms and are suitable for complex optimization problems. During the optimization process, the early warning unit will continuously adjust the model parameters or structure based on the historical data and optimization goals of the model to be optimized in order to seek performance improvements.
[0200] When the optimized model is obtained, the early warning unit will replace it with the corresponding early warning model in the current system; at the same time, the early warning unit will also record the process and results of the model optimization to facilitate further model improvement or optimization in the future.
[0201] Through the above-mentioned model optimization function of the early warning unit, the large-span abandoned mine cable structure photovoltaic power station system of the present invention can ensure that the early warning model used always maintains the best performance, thereby more effectively monitoring and warning of potential safety risks.
[0202] The technical solution of the present invention solves the problem that the prior art cannot provide early warning for the safety of the support system, resulting in potential safety hazards of the support system under extreme weather conditions by:
[0203] The present invention provides a comprehensive large-span abandoned mine cable structure photovoltaic power station system, including a control device end, a data acquisition end, an equipment end, a background control end and a user mobile end. This design enables the system to comprehensively monitor and manage all aspects of the photovoltaic power station.
[0204] The data acquisition end includes a variety of sensors, such as displacement sensors, stress sensors, temperature sensors, humidity sensors, and light intensity sensors, which can monitor the environmental parameters in the mine and the performance data of photovoltaic modules in real time. Current and voltage monitors and power monitors are installed on the photovoltaic modules to obtain real-time performance data of the photovoltaic modules. Cameras and infrared detectors are also installed in the mine for security monitoring to prevent illegal intrusion and potential safety hazards.
[0205] The control device receives data from the data acquisition end, and processes and analyzes the data. Five databases (the first to fifth databases) are established to store different types of data, such as large-span abandoned mine cable structure data, environmental data, photovoltaic module performance data, safety monitoring data, and system operation status data. These data are used to build multiple safety warning models, including a large-span abandoned mine cable structure safety warning model, an environmental data safety warning model, a photovoltaic module performance safety warning model, a safety monitoring warning model, and a system operation safety warning model.
[0206] The data analysis unit substitutes the real-time data into the corresponding warning model to obtain various types of safety warning data. The warning unit summarizes these warning data and compares them with the preset warning threshold. If the threshold is exceeded, a safety warning message is generated. The safety warning information is transmitted to the background control terminal and the user mobile terminal in real time, so that relevant personnel can respond quickly and take necessary measures.
[0207] The early warning unit will also compare the safety warning data information with the preset safety data error range value. If a large error value is found, the corresponding early warning model will be marked as a model to be optimized. The optimization method such as genetic algorithm is used to train and optimize the model to be optimized to improve the accuracy and reliability of the early warning.
[0208] Through the above technical means, the present invention effectively solves the problem that the prior art cannot provide early warning for the safety of the support system, and can issue early warnings in time under extreme weather conditions to ensure the safe and stable operation of the photovoltaic power station.
Claims
1. A photovoltaic power station system for a large-span abandoned mine with a cable structure, characterized in that: It includes a control device end, a data acquisition end, an equipment end, a background control end and a user mobile end. The equipment end includes an end foundation, an end anti-pulling inclined anchor cable, a transverse main cable, a longitudinal main cable, an anti-wind cable device, an anti-loosening double insurance end connector, and a main cable connector. The transverse main cable is connected to the end anti-loosening double insurance connector through a pre-buried steel pipe, the end anti-pulling inclined anchor cable is connected to the concrete top anti-loosening anchor through a pre-buried steel pipe, the longitudinal main cable is connected to the end foundation through an anchor, the anti-wind cable device is connected to the main cable as a whole through a rigid component, and the photovoltaic module is connected to the main cable through a connector. The data acquisition end includes a sensor. The control device end establishes communication connections with the equipment end, the data acquisition end, the background control end and the user mobile end respectively. The control device end receives the data collected by the data acquisition end, processes the data collected by the data acquisition end, and outputs the early warning information of the large-span abandoned mine cable structure photovoltaic power station, and transmits the early warning information of the large-span abandoned mine cable structure photovoltaic power station to the background control end and the user mobile end. The control device end includes: A data acquisition unit, used to acquire data on the structure of large-span abandoned mine cables, environmental data, photovoltaic module performance data, safety monitoring data, and system operation status data; A data classification unit is used to establish a first database, a second database, a third database, a fourth database and a fifth database, storing the long-span abandoned mine cable structure data in the first database, storing the environmental data in the second database, storing the photovoltaic module performance data in the third database, storing the safety monitoring data in the fourth database, and storing the system operation status data in the fifth database; A model building unit is used to build a safety early warning model for the cable structure of a large-span abandoned mine pit using the cable structure data of a large-span abandoned mine pit, build an environmental data safety early warning model using environmental data, build a photovoltaic module performance safety early warning model using photovoltaic module performance data, build a safety monitoring early warning model using safety monitoring data, and build a system operation safety early warning model using system operation status data; A data analysis unit is used to receive data collected by a data collection terminal, obtain real-time large-span abandoned mine cable structure data, real-time environmental data, real-time photovoltaic module performance data, real-time safety monitoring data and real-time system operation status data, substitute the real-time large-span abandoned mine cable structure data into a large-span abandoned mine cable structure safety warning model to obtain large-span abandoned mine cable structure safety warning data, substitute the real-time environmental data into an environmental data safety warning model to obtain environmental data safety warning data, substitute the real-time photovoltaic module performance data into a photovoltaic module performance safety warning model to obtain photovoltaic module performance safety warning data, substitute the real-time safety monitoring data into a safety monitoring warning model to obtain safety monitoring warning data, substitute the real-time system operation status data into a system operation safety warning model to obtain system operation safety warning data; The early warning unit is used to aggregate the safety early warning data of the large-span abandoned mine cable structure, the environmental data safety early warning data, the photovoltaic module performance safety early warning data, the photovoltaic module performance safety early warning data, the safety monitoring early warning data and the system operation safety early warning data to obtain the safety early warning data information, and send the safety early warning data information to the background control terminal and the user mobile terminal.
2. The photovoltaic power station system for a large-span abandoned mine cable structure as claimed in claim 1, characterized in that: The data acquisition unit is further used for: Install sensors in the mine, including displacement sensors, stress sensors, temperature sensors, humidity sensors, and light intensity sensors; Establishing a communication connection between the sensor and the control device, installing equipment performance monitoring equipment on the photovoltaic module, the equipment performance monitoring equipment including a current and voltage monitor and a power monitor, for obtaining performance data of the photovoltaic module; Safety monitoring equipment is installed in the mine, including cameras and infrared detectors, to obtain safety monitoring data.
3. The photovoltaic power station system for a large-span abandoned mine cable structure according to claim 1, characterized in that: The data classification unit is further used for: The first database is used to store the data of the cable structure of the large-span abandoned mine; The second database is used to store environmental data; The third database is used to store photovoltaic module performance data; The fourth database is used to store safety monitoring data; The fifth database is used to store system operation status data.
4. The photovoltaic power station system for a large-span abandoned mine cable structure according to claim 1, characterized in that: The model building unit is further used for: Obtain long-span abandoned mine cable structure data, environmental data, photovoltaic module performance data, safety monitoring data and system operation status data from the corresponding database or data source. The acquired data is preprocessed and divided into training sets and test sets, obtaining training sets and test sets of abandoned mine cable structure data with large span, training sets and test sets of environmental data, training sets and test sets of photovoltaic module performance data, training sets and test sets of safety monitoring data, and training sets and test sets of system operation status data; The model is trained using the training set and test set of large-span abandoned mine cable structure data to obtain a safety early warning model for large-span abandoned mine cable structures. The model is trained using the environmental data training set and test set to obtain an environmental data security early warning model; The model is trained using the photovoltaic module performance data training set and test set to obtain a photovoltaic module performance safety early warning model; The model is trained using the safety monitoring data training set and test set to obtain a safety monitoring early warning model; The model is trained using the system operation status data training set and test set to obtain a system operation safety warning model.
5. The cable structure photovoltaic power station system for a large-span abandoned mine as claimed in claim 1, characterized in that: The data analysis unit is further used for: The received data is classified according to type to obtain real-time large-span abandoned mine cable structure data, real-time environmental data, real-time photovoltaic module performance data, real-time safety monitoring data, and real-time system operation status data; Temporarily storing the classified data in a corresponding buffer area and preprocessing the data to obtain preprocessed classified data; Load the trained early warning model from the model library, which includes the safety early warning model of the large-span abandoned mine cable structure, the environmental data safety early warning model, the photovoltaic module performance safety early warning model, the safety monitoring early warning model, and the system operation safety early warning model; Receive preset warning thresholds, including the safety warning thresholds for abandoned mine cable structures with large spans, environmental data safety warning thresholds, photovoltaic module performance safety warning thresholds, safety monitoring warning thresholds, and system operation safety warning thresholds; The safety warning data of the large-span abandoned mine cable structure is compared with the safety warning threshold of the large-span abandoned mine cable structure to obtain the safety warning data of the large-span abandoned mine cable structure; the environmental data safety warning data is compared with the environmental data safety warning threshold to obtain the environmental data safety warning data; the photovoltaic module performance safety warning data is compared with the photovoltaic module performance safety warning threshold to obtain the photovoltaic module performance safety warning data; the safety monitoring warning data is compared with the safety monitoring warning threshold to obtain the photovoltaic module performance safety warning data; the system operation safety warning data is compared with the system operation safety warning threshold to obtain the system operation safety warning data.
6. The photovoltaic power station system for a large-span abandoned mine cable structure as claimed in claim 1, characterized in that: The early warning unit is also used for: The safety warning data information is compared with the preset safety data error range value. If there is a value greater than the preset safety data error range value in the safety warning data information, the warning model corresponding to the value greater than the preset safety data error range value is marked as a model to be optimized.
7. The cable structure photovoltaic power station system for a large-span abandoned mine as claimed in claim 6, characterized in that: The early warning unit is also used for: Obtain the historical data of the model to be optimized and the optimization target corresponding to the model to be optimized, optimize the model to be optimized using a genetic algorithm based on the historical data of the model to be optimized and the optimization target corresponding to the model to be optimized, obtain the optimized model, and replace the optimized safety warning model with the optimized model.