Comprehensive intelligent station system of photovoltaic power station

Abstract

The invention relates to the technical field of photovoltaic power stations, in particular to a photovoltaic power station comprehensive intelligent station system which comprises an edge all-in-one machine, an intelligent sensing terminal, an intelligent station internet-of-things system and a safety protection system, and the intelligent sensing terminal is connected with the edge all-in-one machine and the intelligent station internet-of-things system. The smart station Internet of Things system is also connected with the safety protection system and the fingerprint verification module; the edge all-in-one machine comprises an integrated high-performance calculation module, a northbound power private network redundant communication module, a model training module, a self-service modeling module, an external model integration module and a data annotation management module; the intelligent sensing terminal comprises a booster station intelligent inspection module, a photovoltaic area fire early warning module and an intelligent security linkage module; the intelligent station Internet of Things system comprises an energy efficiency evaluation and diagnosis module and a mobile operation and maintenance support module. The overall operation and maintenance efficiency of the photoelectric field can be improved, equipment reliability is enhanced, system safety is guaranteed, and decision scientificity is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic power stations, and in particular to an integrated intelligent station system for photovoltaic power stations. Background Art

[0002] The inspection work of traditional photovoltaic power plants mainly adopts manual on-site inspections. With the gradual growth of the scale of new energy construction, the operation and maintenance manpower of the station are insufficient to support the requirements of lean equipment management; a large amount of repetitive work leads to increased fatigue of personnel, which is bound to lead to low-quality inspections; on-site problem handling is limited by the lack of operation and maintenance experience of personnel, and due to the poor network environment of photovoltaic stations, communication and coordination cannot be carried out in the first time, resulting in the accumulation of problems and residual safety hazards; due to the low level of intelligence, relying solely on personnel for inspections, the inefficient operation and maintenance caused is an important reason hindering the development of traditional photovoltaic fields.

[0003] In the process of promoting the intelligentization of photovoltaic power generation inspection, the various subsystems built in batches are independent of each other, forming chimney-like information islands. The resulting information is not interoperable and the inability to effectively coordinate between systems is also an important factor hindering the unified regulation of photovoltaic power field inspections and reducing staff and increasing efficiency. The lack of health monitoring of photovoltaic equipment and multi-dimensional energy efficiency evaluation and diagnosis has resulted in a lack of safety management and control capabilities, and there is also a lack of integrated online and offline operation and maintenance ideas.

[0004] Against the backdrop of electricity price cuts, normalized electricity trading, and grid parity, the traditional operation and maintenance model has many flaws and can no longer meet new requirements such as new energy site safety, equipment monitoring, and unmanned intelligence.

[0005] To this end, we propose a comprehensive smart station system for photovoltaic power stations. Summary of the Invention

[0006] The main purpose of the present invention is to provide a comprehensive intelligent station system for photovoltaic power stations, which can improve the overall operation and maintenance efficiency of the photovoltaic power station, enhance equipment reliability, ensure system safety, and improve the scientific nature of decision-making, and can effectively solve the problems in the background technology.

[0007] To achieve the above object, the technical solution adopted by the present invention is:

[0008] A photovoltaic power station integrated smart station system includes an edge all-in-one machine, an intelligent sensing terminal, a smart station IoT system, and a safety protection system. The intelligent sensing terminal is connected to the edge all-in-one machine and the smart station IoT system respectively. The smart station IoT system is also connected to the safety protection system and a fingerprint verification module respectively.

[0009] Fingerprint verification module: Deploy fingerprint verification function on terminal devices, collect fingerprint feature information of devices, and establish a device fingerprint database. When a device accesses the system, the system verifies the device's fingerprint feature. Only devices with matching fingerprint information can access the system, effectively preventing illegal devices from accessing the system and ensuring system security.

[0010] The edge all-in-one machine includes an integrated high-performance computing module, a northbound power private network redundant communication module, a model training module, a self-service modeling module, an external model integration module and a data annotation management module;

[0011] Integrated high-performance computing module: This module serves as the core computing power support for the edge all-in-one machine and can quickly process large amounts of data from intelligent sensing terminals. It uses high-performance computing chips and an optimized algorithm architecture to quickly analyze and process real-time data, ensuring the system's real-time responsiveness. For example, when processing large amounts of environmental data such as temperature and light in the photovoltaic area, it can complete preliminary data analysis in a short period of time.

[0012] Northbound power network redundant communication module: This module is responsible for data communication between the edge appliance and the upper-level management and control platform. To ensure communication reliability, a power network redundant design is adopted. When the primary communication link fails, it can quickly switch to the backup link to ensure stable data transmission. At the same time, it encrypts and verifies the transmitted data to prevent data loss or errors during transmission.

[0013] Model training module: This module trains various machine learning and deep learning models using collected historical and real-time data. By continuously adjusting the model parameters, it enables more accurate prediction of equipment failures and assessment of equipment performance. For example, it trains a fault prediction model based on the operating data of photovoltaic equipment to improve the ability to provide early warning of potential equipment failures.

[0014] Self-service modeling module: allows users to independently create appropriate analysis models based on their business needs and data characteristics. Through a simple operation interface, users can select appropriate algorithms and data features to build personalized models to meet analysis needs in different scenarios.

[0015] External model integration module: supports the integration of excellent external analysis models into the system. Through this module, third-party professional models can be introduced to complement the internal models of the system, thereby improving the analysis and decision-making capabilities of the system.

[0016] Data Labeling and Management Module: Labels and manages the data used for model training. Accurate data labeling is the key to improving model training results. This module provides convenient labeling tools and management functions to ensure the quality and consistency of labeled data.

[0017] The intelligent sensing terminal includes a booster station intelligent inspection module, a photovoltaic area fire warning module and an intelligent security linkage module;

[0018] The smart station IoT system includes an energy efficiency evaluation and diagnosis module and a mobile operation and maintenance support module.

[0019] Energy Efficiency Assessment and Diagnosis Module: This module comprehensively analyzes equipment operation and environmental data collected by intelligent sensing terminals to assess the overall energy efficiency of the photovoltaic field. By establishing an energy efficiency assessment model, it calculates indicators such as the photovoltaic field's power generation efficiency and equipment utilization rate, and compares these with historical data and industry standards. If an abnormal energy efficiency indicator is found, it further diagnoses the cause of the problem, such as equipment failure or insufficient sunlight, and provides corresponding solutions.

[0020] Mobile operation and maintenance support module: provides operation and maintenance personnel with mobile operation and maintenance management tools; operation and maintenance personnel can use mobile devices such as mobile phones or tablets to view the operating status of equipment in real time, receive alarm information, perform inspection tasks, etc. At the same time, this module also supports operation and maintenance personnel to upload inspection records, fault handling reports and other information, realizing the digitalization and efficiency of operation and maintenance work.

[0021] By adopting the above technical solutions, the edge all-in-one machine is deployed in the local control center of the photovoltaic power station, providing powerful computing and data processing capabilities for the entire system; its integrated high-performance computing module uses high-performance computing chips to ensure that it can quickly process large amounts of data; intelligent sensing terminals are distributed in various key areas of the photovoltaic power station; the substation inspection camera is installed in key locations such as the power distribution room and relay protection room of the substation; the infrared dual-light temperature measurement pan-tilt platform is deployed in the photovoltaic area to ensure comprehensive monitoring of the photovoltaic panels; the intelligent access control module is installed at each entrance and exit of the photovoltaic power station; the electronic fence module is set up around the power station and in important areas; the smart lock control module is installed on the equipment cabinet door and the box transformer door; the environmental monitoring sensors are distributed in different locations in the photovoltaic area; the smart station IoT system is deployed on the control center server, The network is connected to the intelligent sensing terminal and the edge all-in-one machine; the firewall module in the security protection system is deployed at the system network boundary, and the quantum key dynamic encryption transmission module is integrated with each data transmission node; the fingerprint verification module is deployed at the access port of each terminal device; the intelligent sensing terminal is connected to the edge all-in-one machine through wired or wireless communication, and the collected data is transmitted to the edge all-in-one machine in real time; at the same time, the intelligent sensing terminal is also connected to the smart station IoT system to provide it with data support; the northbound power private network redundant communication module of the edge all-in-one machine is connected to the superior management and control platform through the power private network to realize data uploading and command reception; the smart station IoT system is connected to the security protection system and fingerprint verification module through the internal network to ensure system security and data reliability;

[0022] The inspection camera at the substation collects high-definition images of the equipment inside the substation in real time, such as the on / off status of switches and meter readings. The infrared dual-light temperature measurement pan / tilt platform uses visible light and infrared thermal imaging to collect the appearance and temperature distribution data of photovoltaic panels. Environmental monitoring sensors monitor the temperature, humidity, wind speed, light intensity and other environmental parameters of the photovoltaic power station in real time. The intelligent access control module records the entry and exit time and identity information of personnel. The electronic fence module monitors whether there are any illegal intrusions. The smart lock control module records the switch status and operation time of the lock. The intelligent sensing terminal transmits the collected data to the edge all-in-one machine. The integrated high-performance computing module performs preliminary processing and analysis of the data, such as feature extraction of image data and anomaly detection of temperature data.

[0023] The model training module uses historical and real-time data to train machine learning and deep learning models, continuously optimizing model parameters and improving the accuracy of equipment fault prediction and performance evaluation. The data annotation management module annotates and manages the data used for model training to ensure data quality and consistency. The northbound power network redundant communication module encrypts and transmits processed data to the superior management and control platform, while also receiving instructions from the superior management and control platform. Energy efficiency evaluation and diagnosis: The energy efficiency evaluation and diagnosis module comprehensively analyzes the equipment operation data and environmental data collected by the intelligent sensing terminal to establish an energy efficiency evaluation model. By calculating indicators such as the power generation efficiency and equipment utilization rate of the photovoltaic power station and comparing them with historical data and industry standards, the overall energy efficiency of the power station is evaluated.

[0024] When an abnormal energy efficiency indicator is found, the system will further diagnose the cause of the problem, such as equipment failure, insufficient light, etc., and provide corresponding solutions. For example, if the photovoltaic panels in a certain area are found to have low power generation efficiency, analysis may show that this is due to severe dust accumulation, and the system will recommend timely cleaning.

[0025] Specifically, the booster station intelligent inspection module includes a booster station inspection camera, and the photovoltaic area fire warning module includes an infrared dual-light temperature measurement pan-tilt platform;

[0026] Booster station inspection cameras: These cameras are installed in key locations throughout the station, such as the power distribution room and relay protection room. These cameras use high-definition image acquisition to obtain real-time information on equipment operating status, such as switch status and meter readings. The captured image data is transmitted to the edge device for analysis and processing. If any abnormality is detected, the system will immediately issue an alarm.

[0027] Infrared dual-light temperature measurement PTZ: Deployed in the photovoltaic area, it has both visible light and infrared thermal imaging monitoring functions. Visible light images can be used to observe the appearance of photovoltaic panels in the photovoltaic field, while the infrared thermal imaging function can monitor the temperature distribution of photovoltaic panels in real time. When an abnormal increase in local temperature is detected, the system will determine that there may be a fire hazard and issue a timely warning signal.

[0028] Specifically, the intelligent security linkage module includes an intelligent access control module, an electronic fence module, a smart lock control module and an environmental monitoring sensor;

[0029] Smart access control module: It uses multiple authentication methods such as facial recognition, card swiping, and passwords to authenticate people entering specific areas of the photovoltaic field. Only authorized personnel can enter the corresponding area through the access control, and the entry and exit time and related information of the personnel are recorded at the same time.

[0030] Electronic fence module: Electronic fences are set up around the photovoltaic field and in important areas. When a person or object illegally enters the fenced area, the electronic fence will immediately detect it and send out an alarm signal, while transmitting the alarm information to the monitoring center.

[0031] Smart lock control module: Provides intelligent lock control management for various equipment cabinet doors and transformer doors within the photovoltaic power plant; enables locks to be opened and closed through electronic keys or remote control, and records the lock's open and close status and operation time;

[0032] Environmental monitoring sensors: These sensors monitor the environmental parameters of the photovoltaic field in real time, such as temperature, humidity, wind speed, and light intensity. This environmental data is crucial for evaluating the performance of photovoltaic equipment and predicting power generation, while also providing a reference for equipment maintenance and management.

[0033] Specifically, the security protection system includes a firewall module and a quantum key dynamic encryption transmission module.

[0034] Beneficial effects of the present invention: The photovoltaic power station integrated intelligent station system described in the present invention:

[0035] First, improve operation and maintenance efficiency: Intelligent sensing terminals enable real-time monitoring and data collection of photovoltaic power station equipment, reducing the workload and time cost of manual inspections. The design of a mobile operation and maintenance support module enables operation and maintenance personnel to obtain equipment information and perform operation and maintenance tasks anytime and anywhere, improving the flexibility and efficiency of operation and maintenance work. Operation and maintenance personnel can quickly upload inspection records and fault handling reports through mobile devices, realizing timely information sharing and processing.

[0036] Second, enhancing equipment reliability: The model training module can accurately predict equipment failures through analysis and model training of large amounts of data, taking preventive maintenance measures in advance to reduce sudden equipment failures and downtime. The energy efficiency evaluation and diagnosis module can conduct real-time evaluation and diagnosis of the energy efficiency of photovoltaic power plants, promptly identify problems such as equipment performance degradation, and provide corresponding solutions. By optimizing equipment operating parameters and performing equipment maintenance, equipment reliability and power generation efficiency are improved.

[0037] Third, ensuring system security: The fingerprint verification module effectively prevents unauthorized access and ensures system security. Only authorized devices can communicate with the system, preventing interference and attacks from external devices. The firewall module and quantum key dynamic encryption transmission module in the security protection system provide multi-layered security protection for the system. The firewall module blocks illegal network access and attacks, while the quantum key dynamic encryption transmission module ensures the security and confidentiality of data during transmission, ensuring the stable operation of the system and the security of data.

[0038] Fourth, improve the scientific nature of decision-making: The self-service modeling module allows users to independently create suitable analysis models based on their own business needs and data characteristics; users can select appropriate algorithms and data features through a simple operation interface to build personalized models, providing a more accurate basis for decision-making; the external model integration module supports the integration of excellent external analysis models into the system, complementing the internal models of the system, improving the system's analysis and decision-making capabilities; through comprehensive analysis of various data and models, it provides scientific decision-making support for the planning, construction and operation of power plants. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The present invention will be further described below with reference to the accompanying drawings and examples.

[0040] Figure 1 It is a structural block diagram of the present invention;

[0041] Figure 2 This is a block diagram of the security protection system architecture of the present invention;

[0042] Figure 3 This is a structural block diagram of the edge all-in-one machine of the present invention;

[0043] Figure 4 This is a structural block diagram of the intelligent security linkage module of the present invention;

[0044] In the figure: 1. Edge all-in-one machine; 2. Intelligent sensing terminal; 3. Smart station IoT system; 4. Substation intelligent inspection module; 5. Photovoltaic area fire warning module; 6. Intelligent security linkage module; 7. Safety protection system; 8. Fingerprint verification module; 101. Integrated high-performance computing module; 102. Northbound power private network redundant communication module; 103. Model training module; 104. Self-service modeling module; 105. External model integration module; 106. Data annotation management module; 301. Energy efficiency evaluation and diagnosis module; 302. Mobile operation and maintenance support module; 401. Substation inspection camera; 501. Infrared dual-light temperature measurement pan-tilt platform; 601. Intelligent access control module; 602. Electronic fence module; 603. Intelligent lock control module; 604. Environmental monitoring sensor; 701. Firewall module; 702. Quantum key dynamic encryption transmission module. DETAILED DESCRIPTION

[0045] In order to make the technical means, creative features, objectives and effects achieved by the present invention easier to understand, the present invention is further described below in conjunction with specific implementation methods.

[0046] As an embodiment of the present invention, Figures 1-4 As shown, the photovoltaic power station integrated smart station system of the present invention includes an edge integrated machine 1, an intelligent sensing terminal 2, a smart station IoT system 3 and a security protection system 7. The intelligent sensing terminal 2 is connected to the edge integrated machine 1 and the smart station IoT system 3 respectively. The smart station IoT system 3 is also connected to the security protection system 7 and the fingerprint verification module 8 respectively.

[0047] Fingerprint Verification Module 8: Deploy the fingerprint verification function on the terminal device, collect the fingerprint feature information of the device, and establish a device fingerprint database. When the device accesses the system, the system will verify the device's fingerprint feature. Only devices with matching fingerprint information can access the system, effectively preventing illegal devices from accessing the system and ensuring system security.

[0048] The edge all-in-one machine 1 includes an integrated high-performance computing module 101, a northbound power private network redundant communication module 102, a model training module 103, a self-service modeling module 104, an external model integration module 105 and a data annotation management module 106;

[0049] Integrated high-performance computing module 101: This module serves as the core computing power support for the edge all-in-one machine 1 and can quickly process large amounts of data from the intelligent sensing terminal 2. It uses a high-performance computing chip and an optimized algorithm architecture to quickly analyze and process real-time data, ensuring the system's real-time responsiveness. For example, when processing large amounts of environmental data such as temperature and light in the photovoltaic area, it can complete preliminary data analysis in a short period of time.

[0050] Northbound power network redundant communication module 102: This module is responsible for data communication between the edge appliance 1 and the upper-level management and control platform. To ensure communication reliability, a power network redundant design is adopted. When the primary communication link fails, it can quickly switch to the backup link to ensure stable data transmission. At the same time, it encrypts and verifies the transmitted data to prevent data loss or errors during transmission.

[0051] Model training module 103: This module trains various machine learning and deep learning models using collected historical and real-time data. By continuously adjusting the model parameters, it enables more accurate prediction of equipment failures and assessment of equipment performance. For example, it trains a fault prediction model based on the operating data of photovoltaic equipment to improve the ability to warn of potential equipment failures.

[0052] Self-service modeling module 104: allows users to independently create appropriate analytical models based on their business needs and data characteristics. Through a simple operation interface, users can select appropriate algorithms and data features to build personalized models to meet analytical needs in different scenarios.

[0053] External model integration module 105: supports the integration of excellent external analysis models into the system. Through this module, third-party professional models can be introduced to complement the internal models of the system, thereby improving the analysis and decision-making capabilities of the system.

[0054] Data annotation management module 106: annotates and manages the data used for model training. Accurate data annotation is the key to improving model training results. This module provides convenient annotation tools and management functions to ensure the quality and consistency of the annotated data.

[0055] The intelligent sensing terminal 2 includes a booster station intelligent inspection module 4, a photovoltaic area fire warning module 5 and an intelligent security linkage module 6;

[0056] The smart station IoT system 3 includes an energy efficiency evaluation and diagnosis module 301 and a mobile operation and maintenance support module 302.

[0057] Energy efficiency assessment and diagnosis module 301: This module comprehensively analyzes the equipment operation data and environmental data collected by the intelligent sensing terminal 2 to evaluate the overall energy efficiency of the photovoltaic field. By establishing an energy efficiency assessment model, it calculates indicators such as the photovoltaic field's power generation efficiency and equipment utilization rate, and compares these indicators with historical data and industry standards. If an abnormal energy efficiency indicator is found, it further diagnoses the cause of the problem, such as equipment failure or insufficient sunlight, and provides corresponding solutions.

[0058] Mobile operation and maintenance support module 302: provides mobile operation and maintenance management tools for operation and maintenance personnel; operation and maintenance personnel can use mobile devices such as mobile phones or tablets to view the operating status of equipment in real time, receive alarm information, perform inspection tasks, etc.; at the same time, this module also supports operation and maintenance personnel to upload inspection records, fault handling reports and other information, so as to realize the digitalization and efficiency of operation and maintenance work.

[0059] When in use, the edge all-in-one machine 1 is deployed in the local control center of the photovoltaic power station to provide powerful computing and data processing capabilities for the entire system; its integrated high-performance computing module 101 uses high-performance computing chips to ensure that large amounts of data can be processed quickly; the intelligent sensing terminal 2 is distributed in various key areas of the photovoltaic power station; the substation inspection camera 401 is installed in key locations such as the distribution room and relay protection room of the substation; the infrared dual-light temperature measurement pan-tilt platform 501 is deployed in the photovoltaic area to ensure comprehensive monitoring of the photovoltaic panels; the intelligent access control module 601 is installed at various entrances and exits of the photovoltaic power station; the electronic fence module 602 is set around the power station and in important areas; the intelligent lock control module 603 is installed on the equipment cabinet door and the box transformer door; the environmental monitoring sensor 604 is distributed in different locations in the photovoltaic area; the smart station Internet of Things system 3 is deployed on the control center server, through The network is connected to the intelligent sensing terminal 2 and the edge all-in-one machine 1; the firewall module 701 in the security protection system 7 is deployed at the system network boundary, and the quantum key dynamic encryption transmission module 702 is integrated with each data transmission node; the fingerprint verification module 8 is deployed at the access port of each terminal device; the intelligent sensing terminal 2 is connected to the edge all-in-one machine 1 through wired or wireless communication, and transmits the collected data to the edge all-in-one machine 1 in real time; at the same time, the intelligent sensing terminal 2 is also connected to the smart station Internet of Things system 3 to provide data support for it; the northbound power private network redundant communication module 102 of the edge all-in-one machine 1 is connected to the superior management and control platform through the power private network to realize data uploading and command reception; the smart station Internet of Things system 3 is connected to the security protection system 7 and the fingerprint verification module 8 through the internal network to ensure the security of the system and the reliability of the data;

[0060] The substation inspection camera 401 collects high-definition images of equipment within the substation in real time, such as the on / off status of switches and meter readings. The infrared dual-light temperature measurement pan / tilt 501 uses visible light and infrared thermal imaging to collect data on the appearance and temperature distribution of photovoltaic panels. Environmental monitoring sensors 604 monitor the temperature, humidity, wind speed, light intensity, and other environmental parameters of the photovoltaic power station in real time. The intelligent access control module 601 records the entry and exit times and identity information of personnel. The electronic fence module 602 monitors for illegal intrusions. The smart lock control module 603 records the on / off status and operation time of locks. The intelligent sensing terminal 2 transmits the collected data to the edge all-in-one machine 1. The integrated high-performance computing module 101 performs preliminary data processing and analysis, such as feature extraction of image data and anomaly detection of temperature data.

[0061] The model training module 103 uses historical data and real-time data to train machine learning and deep learning models, continuously optimizing model parameters and improving the accuracy of equipment fault prediction and performance evaluation. The data annotation management module 106 annotates and manages the data used for model training to ensure data quality and consistency. The northbound power private network redundant communication module 102 encrypts and transmits the processed data to the superior management and control platform, and receives instructions from the superior management and control platform. Energy efficiency evaluation and diagnosis; The energy efficiency evaluation and diagnosis module 301 comprehensively analyzes the equipment operation data and environmental data collected by the intelligent sensing terminal 2 to establish an energy efficiency evaluation model. By calculating the power generation efficiency, equipment utilization rate and other indicators of the photovoltaic power station and comparing them with historical data and industry standards, the overall energy efficiency of the power station is evaluated.

[0062] When an abnormal energy efficiency indicator is found, the system will further diagnose the cause of the problem, such as equipment failure, insufficient light, etc., and provide corresponding solutions. For example, if the photovoltaic panels in a certain area are found to have low power generation efficiency, analysis may show that this is due to severe dust accumulation, and the system will recommend timely cleaning.

[0063] The mobile operation and maintenance support module 302 provides operation and maintenance personnel with mobile operation and maintenance management tools; operation and maintenance personnel can use mobile devices such as mobile phones or tablets to view the operating status of the equipment, receive alarm information, perform inspection tasks, etc. in real time; after completing the inspection or troubleshooting, the operation and maintenance personnel upload inspection records and fault handling reports and other information through mobile devices to realize the digitalization and efficiency of operation and maintenance work; the fingerprint verification module 8 verifies the fingerprint characteristics of the device when the device is connected to the system. Only devices with matching fingerprint information can access the system to prevent illegal devices from accessing; the firewall module 701 monitors and filters the network traffic in and out of the system, sets access control rules, and prevents illegal network access and attacks; the quantum key dynamic encryption transmission module 702 uses quantum key encryption technology to encrypt the transmitted data with high strength and dynamically update the encryption key to ensure the security and confidentiality of the data.

[0064] The present invention also includes that the booster station intelligent inspection module 4 includes a booster station inspection camera 401 , and the photovoltaic area fire warning module 5 includes an infrared dual-light temperature measurement pan-tilt platform 501 .

[0065] Booster station inspection cameras 401 are installed in key locations throughout the station, such as the power distribution room and relay protection room. These cameras use high-definition image acquisition to obtain real-time information on equipment operating status, such as switch status and meter readings. The captured image data is transmitted to the edge device 1 for analysis and processing. If an abnormality is detected, the system immediately issues an alarm.

[0066] Infrared Dual-Light Temperature Measurement PTZ 501: Deployed in photovoltaic areas, it features both visible light and infrared thermal imaging. Visible light images can be used to observe the appearance of photovoltaic panels in the photovoltaic field, while infrared thermal imaging can monitor the temperature distribution of the panels in real time. When an abnormally high local temperature is detected, the system will determine the possibility of a fire hazard and issue a timely warning signal.

[0067] The present invention also includes that the intelligent security linkage module 6 includes an intelligent access control module 601 , an electronic fence module 602 , a smart lock control module 603 and an environmental monitoring sensor 604 .

[0068] Smart access control module 601: It uses multiple authentication methods such as facial recognition, card swiping, and passwords to authenticate people entering specific areas of the photovoltaic field. Only authorized people can enter the corresponding areas through the access control, and the entry and exit times and related information of people are recorded.

[0069] Electronic fence module 602: Electronic fences are set up around the photovoltaic field and in important areas. When a person or object illegally enters the fenced area, the electronic fence will immediately detect it and send out an alarm signal, while transmitting the alarm information to the monitoring center.

[0070] Smart lock control module 603: Provides intelligent lock control management for various equipment cabinet doors and transformer doors within the photovoltaic power plant. It enables opening and closing of locks through electronic keys or remote control, and records the lock's open and close status and operation time.

[0071] Environmental monitoring sensor 604: Real-time monitoring of environmental parameters of the photovoltaic field, such as temperature, humidity, wind speed, and light intensity. This environmental data is important for evaluating the operating performance of photovoltaic equipment and predicting power generation, and also provides a reference for equipment maintenance and management;

[0072] The present invention also includes that the security protection system 7 includes a firewall module 701 and a quantum key dynamic encryption transmission module 702.

[0073] Firewall module 701: Deployed at the system's network boundary, it monitors and filters network traffic entering and leaving the system. By setting access control rules, it blocks illegal network access and attacks, protecting the security of the system's internal network. For example, it prohibits unauthorized external IP addresses from accessing sensitive data and services within the system.

[0074] Quantum key dynamic encryption transmission module 702: uses quantum key encryption technology to perform high-intensity encryption on the transmitted data; quantum keys have the characteristics of being non-replicable and non-eavesdropping, which can ensure the security and confidentiality of data during transmission; at the same time, the module will dynamically update the encryption key to further improve the security of encryption.

[0075] This photovoltaic power station integrated smart station system, when in use, in the booster station of the photovoltaic field, the operation and maintenance personnel use the mobile operation and maintenance support module 302 of the smart station Internet of Things system 3 to receive the inspection task of the day; the task clearly defines the equipment that needs to be inspected and the inspection route; after the operation and maintenance personnel arrive at the booster station with the mobile terminal, the system automatically associates with the booster station intelligent inspection module 4; the booster station inspection camera 401 collects image information of the equipment in real time and transmits it to the edge all-in-one machine 1, and the integrated high-performance computing module 101 of the edge all-in-one machine 1 quickly analyzes the image to identify the opening and closing status of the switch, the meter reading, etc.; if it is found that the actual status of a switch is inconsistent with the system recorded status, or the meter reading is abnormal, the system will immediately send an alarm message to the operation and maintenance personnel through the mobile operation and maintenance support module 302, and mark the location of the abnormal equipment on the map; the operation and maintenance personnel quickly arrive at the abnormal equipment for further inspection and processing according to the system prompts; after the processing is completed, the operation and maintenance personnel upload the processing results and related photos through the mobile terminal, and the system automatically updates the equipment status information and inspection records;

[0076] Key points for system maintenance: Regularly clean and calibrate the booster station inspection camera 401 to ensure the clarity and accuracy of image acquisition; check whether the camera is securely installed to avoid shooting angle deviation due to looseness; regularly clean the storage device of the edge all-in-one machine 1 to prevent data processing and analysis from being affected by insufficient storage space.

[0077] In the photovoltaic area, the infrared dual-light temperature measurement PTZ 501 monitors the photovoltaic panels 24 hours a day. The environmental monitoring sensor 604 collects real-time environmental data such as the temperature and light intensity of the photovoltaic area. The model training module 103 of the edge all-in-one machine 1 predicts the power generation efficiency of the photovoltaic panels based on historical data and real-time environmental data.

[0078] When the infrared dual-light temperature measurement platform 501 detects an abnormally high temperature of photovoltaic panels in a certain area, the photovoltaic area fire warning module 5 immediately issues a warning signal. At the same time, the system analyzes the power generation efficiency of the photovoltaic panels in the area through the energy efficiency evaluation and diagnosis module 301 of the smart station IoT system 3 to determine whether there is a potential fault. After receiving the warning information, the operation and maintenance personnel use the mobile operation and maintenance support module 302 to view detailed information about the fault area, including temperature distribution images and power generation efficiency curves. Based on this information, the operation and maintenance personnel formulate a maintenance plan and promptly replace or repair the faulty photovoltaic panels, thus avoiding the occurrence of fire accidents and ensuring the safe and stable operation of the photovoltaic power field.

[0079] Key points for system maintenance: Check the heat dissipation of the infrared dual-light temperature measurement platform 501 to prevent overheating from affecting its performance; regularly calibrate the environmental monitoring sensor 604 to ensure the accuracy of the collected data; check the communication lines in the photovoltaic area to prevent data transmission interruption due to line damage.

[0080] The basic principles, main features, and advantages of the present invention are shown and described above. Those skilled in the art should understand that the present invention is not limited to the above-described embodiments. The above-described embodiments and descriptions are merely illustrative of the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A photovoltaic power station integrated smart station system, characterized in that: The system comprises an edge all-in-one machine (1), an intelligent sensing terminal (2), a smart station IoT system (3), and a security protection system (7), wherein the intelligent sensing terminal (2) is connected to the edge all-in-one machine (1) and the smart station IoT system (3), respectively, and the smart station IoT system (3) is further connected to the security protection system (7) and a fingerprint verification module (8). The edge all-in-one machine (1) includes an integrated high-performance computing module (101), a northbound power private network redundant communication module (102), a model training module (103), a self-service modeling module (104), an external model integration module (105), and a data annotation management module (106); The intelligent sensing terminal (2) includes a booster station intelligent inspection module (4), a photovoltaic area fire warning module (5), and an intelligent security linkage module (6); The smart station IoT system (3) includes an energy efficiency evaluation and diagnosis module (301) and a mobile operation and maintenance support module (302).

2. A photovoltaic power station integrated smart station system according to claim 1, characterized in that: The booster station intelligent inspection module (4) includes a booster station inspection camera (401), and the photovoltaic area fire warning module (5) includes an infrared dual-light temperature measurement platform (501).

3. A photovoltaic power station integrated smart station system according to claim 1, characterized in that: The intelligent security linkage module (6) comprises an intelligent access control module (601), an electronic fence module (602), an intelligent lock control module (603) and an environmental monitoring sensor (604).

4. The photovoltaic power station integrated smart station system according to claim 1, characterized in that: The security protection system (7) includes a firewall module (701) and a quantum key dynamic encryption transmission module (702).

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