Photovoltaic construction intelligent monitoring device and method

Abstract

The invention relates to the technical field of photovoltaic construction, and discloses an intelligent monitoring device and method for photovoltaic construction, and the device comprises a data collection module which collects the equipment data of a photovoltaic power station in real time; the real-time monitoring module is used for displaying the operation and state of the equipment in the forms of graphs and tables; the remote monitoring module is used for remotely monitoring the overall operation condition; the data storage module is used for storing sunlight amplitude, temperature, wind speed meteorological information and operation parameters of the module; and an early warning module. Through real-time monitoring and early warning, problems can be found and solved in time, system fault time is reduced, power generation efficiency is improved, maintenance cost caused by delayed problem finding is reduced, power station operation cost is reduced, through an intelligent scheduling module, operation and maintenance processes are optimized, operation and maintenance efficiency is improved, manpower resource waste is reduced, and through data analysis and report service, the system can be used for monitoring and early warning in real time. Decision basis is provided for work development of the photovoltaic power station, and the management level is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic construction, and in particular to an intelligent monitoring device and method for photovoltaic construction. Background Art

[0002] Photovoltaic is a technology that converts sunlight into electrical energy. Photovoltaic systems are mainly composed of photovoltaic cells, inverters, junction boxes, DC distribution cabinets, etc. The role of photovoltaics is to use solar energy to generate electricity. This is a clean and renewable energy source that helps reduce dependence on fossil fuels and reduce greenhouse gas emissions. It is of great significance to environmental protection and sustainable development. In photovoltaic construction, it is necessary to first verify the junction box fuse, check the connection between the photovoltaic module and the distribution board, ensure that the cable is installed correctly, and then measure the grounding resistance of each grounding body to ensure that the box and metal foundation are grounded reliably. Secondly, check the open circuit voltage of the photovoltaic module, the input and output voltage of each string of the junction box, and the input DC voltage of the inverter. Check the sensor equipment interface and communication line connection, start the monitoring system, observe whether the monitoring data is normal, and then connect the inverter to the grid, observe the startup and working status, and record the system operation data. Finally, check whether the photovoltaic array is fully exposed to sunlight, conduct solar radiation illumination test, and record the AC output power. In photovoltaic construction, its construction process needs to be monitored to ensure the safety of construction;

[0003] However, in photovoltaic construction monitoring, existing technologies are unable to provide timely warnings when problems occur in corresponding links during the construction process, which may result in delayed discovery of problems, increasing maintenance costs and the risk of system failure.

[0004] In order to solve the above problems, this application proposes a photovoltaic construction intelligent monitoring device and method. Summary of the invention

[0005] Based on the technical problems existing in the background technology, the present invention proposes an intelligent monitoring device and method for photovoltaic construction.

[0006] The present invention provides a photovoltaic construction intelligent monitoring device, comprising:

[0007] Data acquisition module: real-time collection of photovoltaic power station equipment data;

[0008] Real-time monitoring module: displays the operation and status of the equipment in the form of graphics and tables;

[0009] Remote monitoring module: remotely monitor the overall operation status;

[0010] Data storage module: stores sunshine amplitude, temperature, wind speed meteorological information and module operation parameters;

[0011] Early warning module: Issue early warning for abnormal data, which will be reviewed and investigated by operation and maintenance personnel;

[0012] Drone operation and maintenance module: Use drones to regularly carry out operation and maintenance work on power stations;

[0013] Employee management and audit module: prioritize repair work orders and effectively allocate operation and maintenance personnel;

[0014] Intelligent scheduling module: intelligently schedule resources and optimize operation and maintenance processes based on monitoring data and warning information;

[0015] The data acquisition module is connected to the real-time monitoring module through the internal network to realize real-time data transmission. The real-time monitoring module is connected to the remote monitoring module through the Internet to realize remote access and control. The data storage module serves as the central database and is connected to other modules through the network to realize centralized storage of data. The early warning module is connected to the data storage module to analyze the stored data in real time and trigger early warnings. The drone operation and maintenance module is connected to the data storage module through the wireless network to transmit the shooting data in real time. The employee management and audit module is connected to the early warning module through the network to assign tasks according to the early warning information. The intelligent scheduling module serves as the core and integrates all module data to realize intelligent scheduling.

[0016] As a further optimization solution of the present invention, the data acquisition module includes:

[0017] Photovoltaic array data acquisition unit: responsible for collecting the current, voltage, power electrical parameters of the photovoltaic panel array, as well as the temperature and light intensity environmental parameters;

[0018] Inverter data acquisition unit: collects the operating status of the inverter, including conversion efficiency, output voltage, and output current data;

[0019] Environmental parameter data acquisition unit: monitors irradiation, temperature, wind speed and meteorological information, and provides environmental data support for the operation of photovoltaic power stations.

[0020] As a further optimization solution of the present invention, the real-time monitoring module includes:

[0021] Data display unit: displays the operation and status of the equipment in real time in the form of graphics and tables, so that the operation and maintenance personnel can intuitively understand the operation status of the power station;

[0022] Fault diagnosis unit: analyzes real-time monitoring data, quickly locates fault points, and provides fault diagnosis results;

[0023] Alarm prompt unit: When abnormal data is detected, it will remind the operation and maintenance personnel through sound and light alarms so that they can deal with it in time.

[0024] As a further optimization solution of the present invention, the remote monitoring module includes:

[0025] Remote access unit: realizes remote access to the power plant, allowing operation and maintenance personnel to check the power plant status through the Internet at any location;

[0026] Remote control unit: allows operation and maintenance personnel to remotely execute control commands, including starting and stopping the inverter and adjusting the angle of the photovoltaic panels;

[0027] Data synchronization unit: ensures data synchronization between the remote monitoring system and the on-site monitoring system to avoid data inconsistency issues.

[0028] As a further optimization solution of the present invention, the data storage module includes:

[0029] Operation parameter storage unit: stores the operation parameters of the photovoltaic power station, including power generation and power curve, and provides basic data for subsequent analysis;

[0030] Meteorological information storage unit: stores sunshine amplitude, temperature, wind speed meteorological information, which is used to analyze the impact of environmental factors on power station operation;

[0031] Historical data storage unit: long-term storage of historical operating data for trend analysis and performance evaluation.

[0032] As a further optimization solution of the present invention, the early warning module includes:

[0033] Anomaly detection unit: performs real-time analysis on collected data to identify abnormal patterns and potential risks;

[0034] Warning signal generation unit: when an abnormality is detected, it generates a warning signal and notifies the operation and maintenance personnel through the system;

[0035] Early warning response unit: record early warning events, track the early warning processing process, and ensure that problems are resolved in a timely manner.

[0036] As a further optimization solution of the present invention, the drone operation and maintenance module includes:

[0037] Flight control unit: controls the flight path and movements of the drone, ensuring that the drone can perform its mission safely and accurately;

[0038] Image acquisition unit: equipped with a high-definition camera to collect images of photovoltaic panels to detect dirt and damage on the panel surface;

[0039] Data processing unit: Analyzes the image data collected by the drone, identifies abnormal conditions of the photovoltaic panels, and generates reports.

[0040] As a further optimization solution of the present invention, the employee management and audit module includes:

[0041] Work order management unit: manage repair work orders, including creation, assignment, tracking and closing of work orders;

[0042] Personnel scheduling unit: Rationally allocate operation and maintenance personnel based on the priority of work orders and employee skills;

[0043] Performance Audit Unit: Audit the work efficiency and quality of operation and maintenance personnel to ensure the quality of operation and maintenance services.

[0044] As a further optimization solution of the present invention, the intelligent scheduling module includes:

[0045] Resource allocation unit: intelligently allocates operation and maintenance resources based on monitoring data and warning information;

[0046] Task optimization unit: optimize the execution order and method of operation and maintenance tasks, reduce unnecessary work and improve efficiency;

[0047] Decision support unit: Provides decision support, including recommendations on optimal maintenance time and methods, to help management make more reasonable decisions.

[0048] A photovoltaic construction intelligent monitoring method, using the above-mentioned photovoltaic construction intelligent monitoring device, comprises the following steps:

[0049] Step 1: Collect photovoltaic power station equipment data in real time through the data acquisition module;

[0050] Step 2: Display the operation and status of the equipment in the form of graphics and tables through the real-time monitoring module;

[0051] Step 3: Then remotely monitor the overall operation status through the remote monitoring module;

[0052] Step 4: Store the sunshine amplitude, temperature, wind speed meteorological information and module operation parameters through the data storage module;

[0053] Step 5: During this process, the early warning module issues an early warning for abnormal data, which is then reviewed and investigated by the operation and maintenance personnel;

[0054] Step 6: In the drone operation and maintenance module, drones are used to regularly carry out operation and maintenance work on the power station;

[0055] Step 7: Prioritize repair work orders through the employee management and audit modules;

[0056] Step 8: Finally, the intelligent scheduling module intelligently schedules resources and optimizes the operation and maintenance process based on monitoring data and warning information.

[0057] The above technical solution of the present invention has the following beneficial technical effects:

[0058] Through real-time monitoring and early warning, timely discover and solve problems, reduce system failure time, and improve power generation efficiency;

[0059] Reduce maintenance costs caused by delayed problem discovery and lower power plant operating costs;

[0060] Through the intelligent scheduling module, the operation and maintenance process is optimized, the operation and maintenance efficiency is improved, and the waste of human resources is reduced;

[0061] Through data analysis and reporting services, we provide decision-making basis for the operation of photovoltaic power stations and improve management level. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Figure 1 This is a system block diagram of a photovoltaic construction intelligent monitoring device proposed by the present invention.

[0063] Figure 2 The present invention provides a flow chart of a photovoltaic construction intelligent monitoring method. DETAILED DESCRIPTION

[0064] In order to make the purpose, technical scheme and advantages of the present invention clearer, the present invention is further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings. It should be understood that these descriptions are only exemplary and are not intended to limit the scope of the present invention. In addition, in the following description, the description of well-known structures and technologies is omitted to avoid unnecessary confusion of the concept of the present invention.

[0065] like Figure 1 and Figure 2 As shown, the present invention proposes an intelligent monitoring device for photovoltaic construction, comprising:

[0066] Data acquisition module: real-time collection of photovoltaic power station equipment data;

[0067] Real-time monitoring module: displays the operation and status of the equipment in the form of graphics and tables;

[0068] Remote monitoring module: remotely monitor the overall operation status;

[0069] Data storage module: stores sunshine amplitude, temperature, wind speed meteorological information and module operation parameters;

[0070] Early warning module: Issue early warning for abnormal data, which will be reviewed and investigated by operation and maintenance personnel;

[0071] Drone operation and maintenance module: Use drones to regularly carry out operation and maintenance work on power stations;

[0072] Employee management and audit module: prioritize repair work orders and effectively allocate operation and maintenance personnel;

[0073] Intelligent scheduling module: intelligently schedule resources and optimize operation and maintenance processes based on monitoring data and warning information;

[0074] The data acquisition module is connected to the real-time monitoring module through the internal network to realize real-time data transmission. The real-time monitoring module is connected to the remote monitoring module through the Internet to realize remote access and control. The data storage module serves as the central database and is connected to other modules through the network to realize centralized storage of data. The early warning module is connected to the data storage module to analyze the stored data in real time and trigger early warnings. The drone operation and maintenance module is connected to the data storage module through the wireless network to transmit the shooting data in real time. The employee management and audit module is connected to the early warning module through the network to assign tasks according to the early warning information. The intelligent scheduling module serves as the core and integrates all module data to realize intelligent scheduling.

[0075] In a specific embodiment, the data acquisition module includes:

[0076] Photovoltaic array data acquisition unit: responsible for collecting the current, voltage, power electrical parameters of the photovoltaic panel array, as well as the temperature and light intensity environmental parameters;

[0077] Inverter data acquisition unit: collects the operating status of the inverter, including conversion efficiency, output voltage, and output current data;

[0078] Environmental parameter data acquisition unit: monitors irradiation, temperature, wind speed and meteorological information, and provides environmental data support for the operation of photovoltaic power stations.

[0079] It should be noted that the photovoltaic array is the core power generation part of the photovoltaic power station. Its data acquisition unit collects the current, voltage and power electrical parameters of the photovoltaic panel array in real time through high-precision sensors. These electrical parameters can directly reflect the power generation efficiency and operating status of the photovoltaic panel. When the current or voltage fluctuates abnormally, it may mean that the photovoltaic panel is faulty or interfered by external factors.

[0080] At the same time, the unit also collects environmental parameters such as temperature and light intensity. Temperature has an important impact on the power generation efficiency of photovoltaic panels. Too high or too low temperature may lead to a decrease in power generation efficiency. Light intensity is one of the key factors that determine the power generation of photovoltaic panels. By real-time monitoring of light intensity, the power generation capacity of photovoltaic power stations under different lighting conditions can be evaluated. The collected data is transmitted to the real-time monitoring module through the internal network in real time.

[0081] The inverter plays a key role in converting direct current into alternating current in the photovoltaic system. Its data acquisition unit closely monitors the operating status of the inverter, including conversion efficiency, output voltage and output current data. Conversion efficiency is an important indicator to measure the performance of the inverter and is directly related to the power generation efficiency of the entire photovoltaic power station.

[0082] The stability of output voltage and output current is crucial for grid access and power transmission. If the output voltage or current is abnormal, it may affect the normal operation of the grid and even cause damage to the equipment. The collected inverter data is also quickly transmitted to the real-time monitoring module through the internal network for timely analysis and processing;

[0083] Environmental factors have a significant impact on the operation of photovoltaic power stations. This unit uses professional meteorological monitoring equipment to monitor irradiation, temperature, and wind speed meteorological information. Irradiation data can reflect the intensity and changing trend of solar radiation, and is an important basis for evaluating the power generation potential of photovoltaic power stations.

[0084] In addition to affecting the power generation efficiency of photovoltaic panels, temperature data also affects the operation and life of other equipment in the power station. Wind speed information is important for determining whether photovoltaic panels may be damaged by strong winds and optimizing the layout of the power station. These meteorological data are transmitted to the data storage module through the network for storage and can be called and analyzed by other modules.

[0085] In a specific embodiment, the real-time monitoring module includes:

[0086] Data display unit: displays the operation and status of the equipment in real time in the form of graphics and tables, so that the operation and maintenance personnel can intuitively understand the operation status of the power station;

[0087] Fault diagnosis unit: analyzes real-time monitoring data, quickly locates fault points, and provides fault diagnosis results;

[0088] Alarm prompt unit: When abnormal data is detected, it will remind the operation and maintenance personnel through sound and light alarms so that they can deal with it in time.

[0089] It should be noted that the data display unit displays the operation and status information of the equipment to the operation and maintenance personnel in the form of intuitive graphics and tables, and displays the power change curve of the photovoltaic panel array over time in a line graph. The operation and maintenance personnel can clearly see the fluctuation of the generated power and judge whether there is an abnormal decline or excessive fluctuation.

[0090] Lists the inverter's operating parameters in a table, including real-time conversion efficiency, output voltage and current values, so that maintenance personnel can quickly view and compare the normal operating parameter range. In this way, maintenance personnel can intuitively understand the operation of the power station and discover potential problems in a timely manner without in-depth analysis of complex data;

[0091] The fault diagnosis unit uses data analysis algorithms to conduct in-depth analysis of real-time monitoring data. When the data is abnormal, it can quickly locate the fault point. By comparing historical data with the normal operating parameter model, if it is found that the current of a photovoltaic panel is significantly lower than that of other normal photovoltaic panels, combined with the light intensity and temperature environment data, it can be preliminarily judged that the photovoltaic panel may be shaded, damaged or have a connection fault problem;

[0092] For inverter failures, based on the abnormal characteristics of output voltage and current, combined with changes in conversion efficiency, it can be determined whether it is caused by internal electronic component failure, heat dissipation problems, or other reasons. The diagnosis results will be fed back to the operation and maintenance personnel in a timely manner to provide strong support for rapid repair of the fault;

[0093] Once the alarm prompt unit detects abnormal data, it will immediately start the sound and light alarm mechanism. In the monitoring room, the lights will flash and a strong alarm will sound to attract the attention of the operation and maintenance personnel. At the same time, the system will highlight the location of the abnormal data and related information on the monitoring interface, such as which PV array, inverter or environmental parameter is abnormal, as well as the specific value and change trend of the abnormality;

[0094] The alarm information will also be sent to the mobile devices of relevant operation and maintenance personnel via text messages or system notifications, ensuring that the operation and maintenance personnel can be informed of abnormal situations as soon as possible even if they are not in the monitoring room, and go to the scene in time to deal with it, so as to avoid further deterioration of the problem.

[0095] In a specific embodiment, the remote monitoring module includes:

[0096] Remote access unit: realizes remote access to the power plant, allowing operation and maintenance personnel to check the power plant status through the Internet at any location;

[0097] Remote control unit: allows operation and maintenance personnel to remotely execute control commands, including starting and stopping the inverter and adjusting the angle of the photovoltaic panels;

[0098] Data synchronization unit: ensures data synchronization between the remote monitoring system and the on-site monitoring system to avoid data inconsistency issues.

[0099] It should be noted that the remote access unit is based on Internet technology and provides convenient remote access functions for operation and maintenance personnel. No matter where the operation and maintenance personnel are, as long as there is a network connection, they can safely access the monitoring system of the photovoltaic power station through dedicated monitoring software or web page and enter the correct account and password;

[0100] After entering the system, operation and maintenance personnel can view various operation data, equipment status and historical record information of the power plant in real time, which is as comprehensive and detailed as on-site monitoring. This allows operation and maintenance personnel to understand the operation status of the power plant anytime and anywhere, make decisions and arrange maintenance work in a timely manner;

[0101] The remote control unit enables maintenance personnel to remotely execute control commands. When an inverter is found to be operating abnormally, maintenance personnel can remotely send start / stop commands and try to restart the inverter to see if it can resume normal operation.

[0102] For the adjustment of the angle of photovoltaic panels, according to the position of the sun and the changes in light intensity, the operation and maintenance personnel can remotely control and adjust the angle of the photovoltaic panels to obtain the best light reception effect and improve the power generation efficiency. The remote control commands are strictly verified and encrypted to ensure the safety and reliability of the operation.

[0103] The data synchronization unit uses real-time data synchronization technology to ensure the data consistency between the remote monitoring system and the on-site monitoring system. It continuously monitors and compares the data in the two systems through the network communication protocol. Once a difference is found, the data is updated and synchronized immediately.

[0104] When a sensor in the on-site monitoring system collects new data and updates the local database, the data synchronization unit will quickly transmit the data to the remote monitoring system to ensure that the information displayed on the remote end is exactly the same as the actual situation on site. In this way, the data used by operation and maintenance personnel during remote operations and decisions is accurate and reliable.

[0105] In a specific embodiment, the data storage module includes:

[0106] Operation parameter storage unit: stores the operation parameters of the photovoltaic power station, including power generation and power curve, and provides basic data for subsequent analysis;

[0107] Meteorological information storage unit: stores sunshine amplitude, temperature, wind speed meteorological information, which is used to analyze the impact of environmental factors on power station operation;

[0108] Historical data storage unit: long-term storage of historical operating data for trend analysis and performance evaluation.

[0109] It should be noted that the operating parameter storage unit is responsible for storing various operating parameters of the photovoltaic power station, such as power generation and power curve. The power generation data records the total power generation of the power station in different time periods. By accumulating these data over a long period of time, the power generation trend and stability of the power station can be analyzed.

[0110] The power curve details the power output changes of the photovoltaic array and inverter under different operating conditions, providing an important basis for evaluating equipment performance and optimizing operation. These operating parameter data are stored in chronological order and by equipment classification, which is convenient for subsequent query, analysis and statistics.

[0111] The meteorological information storage unit is dedicated to storing the meteorological data of sunshine amplitude, temperature and wind speed. The sunshine amplitude data records the changes of solar radiation intensity in the form of time series. Combined with the power generation data, the influence of lighting conditions on power generation efficiency can be studied.

[0112] Temperature data records the historical changes in the ambient temperature of the power station, which helps analyze the impact of temperature on equipment performance and life. Wind speed data can be used to assess the potential threat of strong winds to photovoltaic panels and provide a reference for windproof design and maintenance of power stations. These meteorological data are interrelated with operating parameter data, providing rich data resources for comprehensive analysis of power station operation conditions.

[0113] The historical data storage unit stores the historical operation data of the photovoltaic power station for a long time, including the equipment operation status, fault records, and maintenance records. Through the trend analysis of historical data, the failure risk and performance change trend of the equipment can be predicted;

[0114] In a specific embodiment, the early warning module includes:

[0115] Anomaly detection unit: performs real-time analysis on collected data to identify abnormal patterns and potential risks; Warning signal generation unit: generates warning signals when an anomaly is detected and notifies the operation and maintenance personnel through the system;

[0116] Early warning response unit: record early warning events, track the early warning processing process, and ensure that problems are resolved in a timely manner.

[0117] It should be noted that the anomaly detection unit conducts in-depth mining and real-time analysis on the massive amount of data collected. It uses statistical methods, such as mean and standard deviation statistical indicators, to establish a parameter range model under normal operating conditions of the equipment. At the same time, it combines machine learning algorithms, such as support vector machines (SVM) and neural networks, to perform pattern recognition and classification on the data, and can accurately distinguish between normal data patterns and abnormal data patterns. For environmental parameter data, it will consider the influence of seasons, time, and geographical location factors to establish a dynamic normal range model. In different seasons and time periods, the sunshine amplitude, temperature, and wind speed meteorological data have certain regular changes. The anomaly detection unit will adjust the detection threshold in real time according to these rules to improve the accuracy of anomaly detection. In addition, the unit also has adaptive learning capabilities, and can continuously optimize the anomaly detection model based on the long-term operation data of the power station equipment, so that it can adapt to changes in equipment performance and new abnormal situations in a timely manner.

[0118] When the anomaly detection unit finds an anomaly, the early warning signal generation unit quickly starts a multi-channel early warning notification mechanism. In addition to highlighting a striking red warning icon and flashing lights on the monitoring interface and issuing a strong alarm, it will also send early warning information to the operation and maintenance personnel through various communication methods, and use the SMS gateway to send detailed SMS notifications to the operation and maintenance personnel's mobile phones. The SMS content includes the name of the device where the anomaly occurred, the specific location, the abnormal data value, and a preliminary analysis of the possible cause of the fault. At the same time, the system will automatically push the early warning message to the operation and maintenance personnel's dedicated mobile application. The application supports offline reminder function to ensure that the operation and maintenance personnel can immediately receive the early warning notification once they enter the network area even if there is no network connection. In addition, for serious abnormal situations, the early warning signal generation unit can also be linked with the power station's broadcasting system to make voice broadcasts in the power station to ensure that all personnel on site can know the abnormal situation in time so that they can take corresponding emergency measures;

[0119] The early warning response unit not only records the detailed information of the early warning event, but also strictly tracks and manages the entire early warning processing process. On the basis of recording the time when the early warning occurs, the abnormal data content, the method of sending the early warning signal and the basic information of the receiving personnel, it will record in detail the response time of the operation and maintenance personnel to the early warning, that is, the time interval from receiving the early warning notification to starting to take action. During the process of the operation and maintenance personnel handling the early warning, the early warning response unit will update the processing progress in real time, such as the time when the maintenance personnel arrive at the scene, the time when the fault investigation begins, the time when the cause of the fault is determined, and the time when the maintenance measures are implemented. If additional resources need to be called or technical support is sought during the processing, the early warning response unit will also record the relevant coordination process and results. Once the problem is resolved, it will collect the fault handling report filled out by the operation and maintenance personnel, including detailed fault cause analysis, maintenance methods and replacement parts information, and associate these data with the early warning event and store them in the early warning history database. Through the analysis of the early warning historical data, we can summarize lessons learned, optimize the early warning strategy and processing process, and improve the ability of the power station to respond to abnormal situations:.

[0120] In a specific embodiment, the drone operation and maintenance module includes:

[0121] Flight control unit: controls the flight path and movements of the drone, ensuring that the drone can perform its mission safely and accurately;

[0122] Image acquisition unit: equipped with a high-definition camera to collect images of photovoltaic panels to detect dirt and damage on the panel surface;

[0123] Data processing unit: Analyzes the image data collected by the drone, identifies abnormal conditions of the photovoltaic panels, and generates reports.

[0124] It should be noted that the flight control unit adopts a high-precision flight control system with strong autonomous flight capability and environmental adaptability. It integrates advanced sensor fusion technology, integrates data from multiple sensors such as GPS, Beidou navigation system, barometer, accelerometer, and gyroscope, and obtains the precise position, attitude, and speed information of the drone in three-dimensional space in real time. During the flight, the flight control unit automatically plans the optimal flight path based on the preset flight mission and real-time environmental data using the path planning algorithm to ensure that the drone can efficiently and safely complete the inspection mission of the photovoltaic power station. When encountering obstacles, it can sense the position, shape, and size of the obstacles in real time, and use the obstacle avoidance algorithm to quickly calculate a safe detour route while maintaining flight stability and accuracy. In addition, the flight control unit also supports manual control mode. Under special circumstances, operation and maintenance personnel can manually operate the drone through the remote control to achieve detailed inspection of specific areas or intervention in emergency situations. In order to ensure flight safety, the flight control unit also has the function of real-time monitoring of the drone's battery power, signal strength, and key parameters of the flight status, and promptly issues an alarm when an abnormal situation occurs, and initiates corresponding emergency protection measures, such as automatic return or emergency landing.

[0125] The image acquisition unit is equipped with a high-resolution, high-frame-rate professional aerial camera with excellent image capture capabilities. The camera uses advanced optical image stabilization technology, which can effectively reduce the impact of vibration on image quality during the flight of the drone, ensuring that the captured images are clear and stable. During the image acquisition process, the image acquisition unit can flexibly adjust the shooting angle, focal length and exposure parameters according to different detection requirements and the installation characteristics of the photovoltaic panels. For photovoltaic panels installed at different tilt angles, it can automatically adjust the camera angle to ensure that the best viewing angle of the photovoltaic panels is captured. In an environment with large light changes, it can analyze the light intensity in real time, automatically adjust the exposure time and sensitivity, and ensure that the brightness and contrast of the image are appropriate; In addition, the image acquisition unit also supports image stitching and panoramic shooting functions, and can stitch multiple local images into a complete panoramic view of the photovoltaic array, providing operation and maintenance personnel with a more comprehensive and intuitive overall view of the power station. In order to improve the efficiency and coverage of image acquisition, the image acquisition unit can automatically locate the image acquisition points and arrange the shooting order according to the flight path and photovoltaic panel layout planned by the flight control unit, ensuring that each photovoltaic panel can be fully and carefully photographed;

[0126] The data processing unit uses advanced image processing and analysis technology to realize the automatic processing and accurate recognition of the images collected by the drone. In terms of image processing, it first pre-processes the collected images, including image denoising, image enhancement, and image segmentation operations to improve the quality and analyzability of the images. Then, it uses deep learning algorithms, such as convolutional neural networks (CNN), to identify and classify the surface conditions of photovoltaic panels. Through training on a large number of labeled samples, the algorithm can accurately identify various abnormal conditions such as dirt, cracks, damage, hot spots, etc. on photovoltaic panels, and accurately calculate the location, area and severity of the abnormal area. The data processing unit It can also integrate image data with geographic information system (GIS) data to accurately locate abnormal photovoltaic panels and provide accurate navigation information for operation and maintenance personnel. When generating inspection reports, the data processing unit not only provides detailed descriptions of abnormal conditions and location information, but also gives corresponding maintenance suggestions and treatment plans based on historical data and expert experience, such as recommending appropriate cleaning methods, maintenance materials and tools. In addition, the data processing unit also has data mining and analysis functions, which can perform statistical analysis on large amounts of inspection data, and discover the potential laws and trends in the operation of photovoltaic power station equipment, providing data support for the optimized operation and preventive maintenance of the power station.

[0127] In a specific embodiment, the employee management and audit module includes:

[0128] Work order management unit: manage repair work orders, including creation, assignment, tracking and closing of work orders;

[0129] Personnel scheduling unit: Rationally allocate operation and maintenance personnel based on the priority of work orders and employee skills;

[0130] Performance Audit Unit: Audit the work efficiency and quality of operation and maintenance personnel to ensure the quality of operation and maintenance services.

[0131] In a specific embodiment, the intelligent scheduling module includes:

[0132] Resource allocation unit: intelligently allocates operation and maintenance resources based on monitoring data and warning information;

[0133] Task optimization unit: optimize the execution order and method of operation and maintenance tasks, reduce unnecessary work and improve efficiency;

[0134] Decision support unit: Provides decision support, including recommendations on optimal maintenance time and methods, to help management make more reasonable decisions.

[0135] A photovoltaic construction intelligent monitoring method, using the above-mentioned photovoltaic construction intelligent monitoring device, comprises the following steps:

[0136] Step 1: Collect photovoltaic power station equipment data in real time through the data acquisition module;

[0137] Step 2: Display the operation and status of the equipment in the form of graphics and tables through the real-time monitoring module;

[0138] Step 3: Then remotely monitor the overall operation status through the remote monitoring module;

[0139] Step 4: Store the sunshine amplitude, temperature, wind speed meteorological information and module operation parameters through the data storage module;

[0140] Step 5: During this process, the early warning module issues an early warning for abnormal data, which is then reviewed and investigated by the operation and maintenance personnel;

[0141] Step 6: In the drone operation and maintenance module, drones are used to regularly carry out operation and maintenance work on the power station;

[0142] Step 7: Prioritize repair work orders through the employee management and audit modules;

[0143] Step 8: Finally, the intelligent scheduling module intelligently schedules resources and optimizes the operation and maintenance process based on monitoring data and warning information.

[0144] It should be understood that the above specific embodiments of the present invention are only used to illustrate or explain the principles of the present invention, and do not constitute a limitation of the present invention. Therefore, any modifications, equivalent substitutions, improvements, etc. made without departing from the spirit and scope of the present invention should be included in the protection scope of the present invention. In addition, the appended claims of the present invention are intended to cover all changes and modifications that fall within the scope and boundaries of the appended claims, or the equivalent forms of such scope and boundaries.

Claims

1. A photovoltaic construction intelligent monitoring device, characterized in that: include: Data acquisition module: real-time collection of photovoltaic power station equipment data; Real-time monitoring module: displays the operation and status of the equipment in the form of graphics and tables; Remote monitoring module: remotely monitor the overall operation status; Data storage module: stores sunshine amplitude, temperature, wind speed meteorological information and module operation parameters; Early warning module: issues early warning for abnormal data, which is then reviewed and investigated by operation and maintenance personnel; Drone operation and maintenance module: Use drones to regularly carry out operation and maintenance work on power stations; Employee management and audit module: prioritize repair work orders and effectively allocate operation and maintenance personnel; Intelligent scheduling module: intelligently schedule resources and optimize operation and maintenance processes based on monitoring data and warning information; The data acquisition module is connected to the real-time monitoring module through the internal network to realize real-time data transmission. The real-time monitoring module is connected to the remote monitoring module through the Internet to realize remote access and control. The data storage module serves as the central database and is connected to other modules through the network to realize centralized storage of data. The early warning module is connected to the data storage module to analyze the stored data in real time and trigger early warnings. The drone operation and maintenance module is connected to the data storage module through the wireless network to transmit the shooting data in real time. The employee management and audit module is connected to the early warning module through the network to assign tasks according to the early warning information. The intelligent scheduling module serves as the core and integrates all module data to realize intelligent scheduling.

2. A photovoltaic construction intelligent monitoring device according to claim 1, characterized in that: The data acquisition module comprises: Photovoltaic array data acquisition unit: responsible for collecting the current, voltage, power electrical parameters of the photovoltaic panel array, as well as the temperature and light intensity environmental parameters; Inverter data acquisition unit: collects the operating status of the inverter, including conversion efficiency, output voltage, and output current data; Environmental parameter data acquisition unit: monitors irradiation, temperature, wind speed and meteorological information, and provides environmental data support for the operation of photovoltaic power stations.

3. A photovoltaic construction intelligent monitoring device according to claim 2, characterized in that: The real-time monitoring module comprises: Data display unit: displays the operation and status of the equipment in real time in the form of graphics and tables, so that the operation and maintenance personnel can intuitively understand the operation status of the power station; Fault diagnosis unit: analyzes real-time monitoring data, quickly locates fault points, and provides fault diagnosis results; Alarm prompt unit: When abnormal data is detected, it will remind the operation and maintenance personnel through sound and light alarms so that they can deal with it in time.

4. A photovoltaic construction intelligent monitoring device according to claim 3, characterized in that: The remote monitoring module comprises: Remote access unit: realizes remote access to the power plant, allowing operation and maintenance personnel to check the power plant status through the Internet at any location; Remote control unit: allows operation and maintenance personnel to remotely execute control commands, including starting and stopping the inverter and adjusting the angle of the photovoltaic panels; Data synchronization unit: ensures data synchronization between the remote monitoring system and the on-site monitoring system to avoid data inconsistency issues.

5. A photovoltaic construction intelligent monitoring device according to claim 4, characterized in that: The data storage module comprises: Operation parameter storage unit: stores the operation parameters of the photovoltaic power station, including power generation and power curve, and provides basic data for subsequent analysis; Meteorological information storage unit: stores sunshine amplitude, temperature, wind speed meteorological information, which is used to analyze the impact of environmental factors on power station operation; Historical data storage unit: long-term storage of historical operating data for trend analysis and performance evaluation.

6. A photovoltaic construction intelligent monitoring device according to claim 5, characterized in that: The early warning module comprises: Anomaly detection unit: performs real-time analysis on collected data to identify abnormal patterns and potential risks; Warning signal generation unit: when an abnormality is detected, it generates a warning signal and notifies the operation and maintenance personnel through the system; Early warning response unit: record early warning events, track the early warning processing process, and ensure that problems are resolved in a timely manner.

7. A photovoltaic construction intelligent monitoring device according to claim 6, characterized in that: The UAV operation and maintenance module includes: Flight control unit: controls the flight path and movements of the drone, ensuring that the drone can perform its mission safely and accurately; Image acquisition unit: equipped with a high-definition camera to collect images of photovoltaic panels to detect dirt and damage on the panel surface; Data processing unit: Analyzes the image data collected by the drone, identifies abnormal conditions of the photovoltaic panels, and generates reports.

8. The photovoltaic construction intelligent monitoring device according to claim 7, characterized in that: The employee management and auditing module includes: Work order management unit: manage repair work orders, including creation, assignment, tracking and closing of work orders; Personnel scheduling unit: Rationally allocate operation and maintenance personnel based on the priority of work orders and employee skills; Performance Audit Unit: Audit the work efficiency and quality of operation and maintenance personnel to ensure the quality of operation and maintenance services.

9. The photovoltaic construction intelligent monitoring device according to claim 8, characterized in that: The intelligent scheduling module includes: Resource allocation unit: intelligently allocates operation and maintenance resources based on monitoring data and warning information; Task optimization unit: optimize the execution order and method of operation and maintenance tasks, reduce unnecessary work and improve efficiency; Decision support unit: Provides decision support, including recommendations on optimal maintenance time and methods, to help management make more reasonable decisions.

10. A photovoltaic construction intelligent monitoring method, using a photovoltaic construction intelligent monitoring device as claimed in any one of claims 1 to 9, characterized in that: The following steps are involved: Step 1: Collect photovoltaic power station equipment data in real time through the data acquisition module; Step 2: Display the operation and status of the equipment in the form of graphics and tables through the real-time monitoring module; Step 3: Then remotely monitor the overall operation status through the remote monitoring module; Step 4: Store the sunshine amplitude, temperature, wind speed meteorological information and module operation parameters through the data storage module; Step 5: During this process, the early warning module issues an early warning for abnormal data, which is then reviewed and investigated by the operation and maintenance personnel; Step 6: In the drone operation and maintenance module, drones are used to regularly carry out operation and maintenance work on the power station; Step 7: Prioritize repair work orders through the employee management and audit modules; Step 8: Finally, the intelligent scheduling module intelligently schedules resources and optimizes the operation and maintenance process based on monitoring data and warning information.

Images