Photovoltaic construction intelligent monitoring device and method

Abstract

The application relates to the technical field of photovoltaic construction, and discloses a photovoltaic construction intelligent monitoring device and method, which comprises the following modules: a data acquisition module that acquires photovoltaic power station equipment data in real time; a real-time monitoring module that displays the operation and state of equipment in the form of graphics and tables; a remote monitoring module that remotely monitors the overall operation; a data storage module that stores the sunshine amplitude, temperature, wind speed meteorological information and module operation parameters; and a warning module. The application can discover and solve problems in time through real-time monitoring and early warning, reduce system fault time, improve power generation efficiency, reduce maintenance costs caused by delayed discovery of problems, reduce power station operation costs, optimize operation and maintenance processes through an intelligent scheduling module, improve operation and maintenance efficiency, reduce waste of human resources, provide decision-making basis for photovoltaic power station work through data analysis and report services, and improve management level.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of photovoltaic construction, and particularly relates to a photovoltaic construction intelligent monitoring device and method. BACKGROUND

[0002] Photovoltaic is a technology that converts sunlight into electricity, and a photovoltaic system mainly consists of photovoltaic cells, inverters, combiner boxes, DC distribution cabinets and the like. The photovoltaic function is to generate electricity by using solar energy, which is a clean and renewable energy source, and helps to reduce dependence on fossil fuels and reduce greenhouse gas emissions, and is of great significance to environmental protection and sustainable development. In photovoltaic construction, it is necessary to first verify the combiner box fuse, check the connection between the photovoltaic module and the distribution panel, ensure that the cable is installed correctly, then measure the grounding resistance of each grounding body, and ensure that the grounding of the box body and the metal foundation is reliable. Secondly, check the open circuit voltage of the photovoltaic module, the input and output voltage of each group of strings of the combiner box, 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, then perform grid connection operation on the inverter, observe the start and working state, record the system operation data, and finally check whether the photovoltaic array is completely irradiated by sunlight, perform solar radiation intensity test, and record the AC output power. In photovoltaic construction, the construction process needs to be monitored to ensure the safety of construction.

[0003] However, in photovoltaic construction monitoring, the prior art cannot timely issue a warning when a problem occurs in a corresponding link during construction, which may delay the discovery of the problem and increase the risk of maintenance cost and system failure.

[0004] To solve the above problems, the present application provides a photovoltaic construction intelligent monitoring device and method. SUMMARY

[0005] Based on the technical problems in the background art, the present application provides a photovoltaic construction intelligent monitoring device and method.

[0006] The photovoltaic construction intelligent monitoring device provided by the present application comprises:

[0007] The data acquisition module acquires photovoltaic power station equipment data in real time.

[0008] The real-time monitoring module displays the operation and state of the equipment in the form of a graph or a table.

[0009] The remote monitoring module remotely monitors the overall operation.

[0010] The data storage module stores the solar amplitude, temperature, wind speed meteorological information and module operation parameters.

[0011] Early warning module: early warning of abnormal data, reviewed and investigated by operation and maintenance personnel;

[0012] Unmanned aerial vehicle operation and maintenance module: unmanned aerial vehicle carries out operation and maintenance work on power station regularly;

[0013] Employee management and audit module: priority classification of repair work order, effective allocation of operation and maintenance personnel;

[0014] Intelligent scheduling module: according to monitoring data and early warning information, intelligent scheduling of resources, optimization of operation and maintenance process;

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

[0016] As a further optimization scheme of the present application, the data acquisition module comprises:

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

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

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

[0020] As a further optimization scheme of the present application, the real-time monitoring module comprises:

[0021] Data display unit: real-time display of the running and state of the equipment in the form of graphs and tables, facilitating operation and maintenance personnel to intuitively understand the operation 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 monitored, the operation and maintenance personnel are reminded through sound and light alarm mode for timely processing.

[0024] As a further optimization scheme of the present application, the remote monitoring module comprises:

[0025] Remote access unit: realizes remote access to the power station, so that the operation and maintenance personnel can view the state of the power station through the Internet at any place;

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

[0027] Data synchronization unit: ensures data synchronization between the remote monitoring system and the on-site monitoring system, avoiding data inconsistency problems.

[0028] As a further optimization scheme of the present application, the data storage module comprises:

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

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

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

[0032] As a further optimization scheme of the present application, the early warning module comprises:

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

[0034] Early warning signal generation unit: generates an early warning signal when an anomaly is detected, and notifies the operation and maintenance personnel through the system;

[0035] Early warning response unit: records the early warning event, tracks the early warning processing process, and ensures that the problem is solved in time.

[0036] As a further optimization scheme of the present application, the unmanned aerial vehicle operation and maintenance module comprises:

[0037] Flight control unit: controls the flight path and action of the unmanned aerial vehicle to ensure that the unmanned aerial vehicle can safely and accurately perform tasks;

[0038] Image acquisition unit: carries a high-definition camera to acquire images of the photovoltaic panel for detecting panel dirt and damage problems;

[0039] Data processing unit: analyzes the image data collected by the unmanned aerial vehicle, identifies abnormal conditions of the photovoltaic panel, and generates a report.

[0040] As a further optimization scheme of the present application, the employee management and audit module comprises:

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

[0042] Personnel scheduling unit: according to the priority of work order and the skill of staff, reasonable distribution of operation and maintenance personnel;

[0043] Performance audit unit: audit the work efficiency and quality of operation and maintenance personnel, and ensure the quality of operation and maintenance service.

[0044] As a further optimization scheme of the application, the intelligent scheduling module comprises:

[0045] Resource allocation unit: according to the monitoring data and early warning information, intelligent allocation of operation and maintenance resources;

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

[0047] Decision support unit: provide decision support, including suggesting the best maintenance time and method, help management make more reasonable decisions.

[0048] A kind of photovoltaic construction intelligent monitoring method, using the photovoltaic construction intelligent monitoring device described above, comprising the following steps:

[0049] Step one: real-time acquisition of photovoltaic power station equipment data is carried out through data acquisition module;

[0050] Step two: the running and state of equipment are displayed in the form of graph and table through real-time monitoring module;

[0051] Step three: then the overall operation is remotely monitored through remote monitoring module;

[0052] Step four: the sunshine amplitude, temperature, wind speed weather information and module operating parameters are stored through data storage module;

[0053] Step five: in this process, abnormal data are warned through early warning module, and reviewed and investigated by operation and maintenance personnel;

[0054] Step six: in unmanned aerial vehicle operation and maintenance module, unmanned aerial vehicle carries out operation and maintenance work on power station regularly;

[0055] Step seven: the repair work order is classified according to priority through staff management and audit module;

[0056] Step eight: finally, according to the monitoring data and early warning information, the resources are intelligently scheduled, and the operation and maintenance process is optimized through intelligent scheduling module.

[0057] The above technical scheme of the application has the following beneficial technical effects:

[0058] Through real-time monitoring and early warning, problems are found and solved in time, system failure time is reduced, and power generation efficiency is improved;

[0059] Maintenance costs caused by delayed problem discovery are reduced, and power plant operation costs are reduced;

[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 report services, decision-making basis is provided for photovoltaic power station work, and management level is improved. BRIEF DESCRIPTION OF DRAWINGS

[0062] Figure 1 A system block diagram of a photovoltaic construction intelligent monitoring device is provided for the present application.

[0063] Figure 2 A flowchart of a photovoltaic construction intelligent monitoring method is provided for the present application. DETAILED DESCRIPTION

[0064] In order to make the purpose, technical scheme and advantages of the present application clearer and more intelligible, the present application will be 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 application. In addition, in the following description, the description of known structures and technologies is omitted to avoid unnecessary confusion of the concept of the present application.

[0065] As Figure 1 With Figure 2 As shown in the present application, a photovoltaic construction intelligent monitoring device is provided, which comprises:

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

[0067] Real-time monitoring module: display the operation and state of the equipment in the form of graphs and tables;

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

[0069] Data storage module: store the solar amplitude, temperature, wind speed weather information and module operation parameters;

[0070] Early warning module: early warning of abnormal data, reviewed and investigated by operation and maintenance personnel;

[0071] Unmanned aerial vehicle operation and maintenance module: regularly carry out operation and maintenance work on the power station by unmanned aerial vehicle;

[0072] Employee management and audit module: priority classification of repair work orders, effective allocation of operation and maintenance personnel;

[0073] Intelligent scheduling module: according to the monitoring data and early warning information, intelligently scheduling resources, optimizing operation and maintenance processes;

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

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

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

[0077] The inverter data acquisition unit collects the operating state of the inverter, including conversion efficiency, output voltage, and output current data.

[0078] The environmental parameter data acquisition unit monitors radiation, temperature, and wind speed meteorological information to provide environmental data support for the operation of the photovoltaic power station.

[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 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 state of the photovoltaic panel. When the current or voltage fluctuates abnormally, it may mean that the photovoltaic panel has a fault or is disturbed by external factors.

[0080] At the same time, this unit also collects temperature and light intensity environmental parameters. Temperature has an important influence on the power generation efficiency of the photovoltaic panel. Both excessively high or low temperatures can lead to a decrease in power generation efficiency. Light intensity is one of the key factors determining the power generation capacity of the photovoltaic panel. By monitoring light intensity in real time, the power generation capacity of the photovoltaic power station under different light conditions can be evaluated. The collected data is transmitted in real time to the real-time monitoring module through an internal network.

[0081] The inverter plays a key role in converting direct current to alternating current in a photovoltaic system. Its data acquisition unit closely monitors the operating state of the inverter, including conversion efficiency, output voltage, and output current data. Conversion efficiency is an important indicator of inverter performance 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 connection 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 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 irradiance, temperature, and wind speed weather information. Irradiance data can reflect the intensity and trend of solar radiation, which is an important basis for evaluating the power generation potential of photovoltaic power stations.

[0084] Temperature data not only affects the power generation efficiency of photovoltaic panels, but also has an impact on the operation and lifespan 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 power station layout. These meteorological data are transmitted to the data storage module through the network for storage and can be called by other modules for analysis.

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

[0086] Data display unit: real-time display of device operation and status in the form of graphs and tables, facilitating intuitive understanding of power station operation by operation and maintenance personnel;

[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 reminds operation and maintenance personnel through sound and light alarm to handle it in time.

[0089] It should be noted that the data display unit displays the operation and status information of the device to the operation and maintenance personnel in the form of intuitive graphs and tables. The power of the photovoltaic panel array changes with time in the form of a line chart. The operation and maintenance personnel can clearly see the fluctuation of the power generation power and determine whether there is an abnormal decrease or excessive fluctuation.

[0090] The table lists the operating parameters of the inverter, including real-time conversion efficiency, output voltage, and current value, making it easy for operation and maintenance personnel to quickly view and compare normal operating parameter ranges. In this way, operation and maintenance personnel can intuitively understand the operation of the power station without deep analysis of complex data, and promptly identify potential problems.

[0091] The fault diagnosis unit adopts data analysis algorithms to perform in-depth analysis on real-time monitoring data. When data anomalies occur, it can quickly locate the fault point. By comparing historical data and normal operation parameter models, if it finds that the current of a certain photovoltaic panel is significantly lower than that of other normal photovoltaic panels, combined with the light intensity and temperature environment data, it can preliminarily judge that the photovoltaic panel may have shadow shading, damage or connection failure problems.

[0092] For inverter faults, based on the abnormal characteristics of output voltage and current, combined with conversion efficiency changes, it can determine whether it is an internal electronic component failure, heat dissipation problem or other causes. The diagnosis results will be fed back to the operation and maintenance personnel in a timely manner, providing strong support for quickly repairing faults.

[0093] Once the alarm prompt unit detects abnormal data, the alarm prompt unit immediately starts the sound and light alarm mechanism. In the monitoring room, the lights flash and are accompanied by a loud alarm sound, attracting the attention of the operation and maintenance personnel. At the same time, the system will highlight the location and related information of the abnormal data on the monitoring interface, such as which photovoltaic array, inverter or environmental parameter is abnormal, as well as the specific value and trend of the abnormality.

[0094] The alarm information will also be sent to the mobile devices of relevant operation and maintenance personnel through SMS or system notifications, ensuring that operation and maintenance personnel can learn about abnormal situations in the first time even if they are not in the monitoring room, and promptly go to the scene for processing to avoid further deterioration of the problem.

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

[0096] Remote access unit: enables remote access to the power station, allowing operation and maintenance personnel to view the status of the power station from anywhere through the Internet;

[0097] Remote control unit: allows operation and maintenance personnel to remotely execute control commands, including starting and stopping inverters and adjusting photovoltaic panel angles;

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

[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. As long as there is network connection, operation and maintenance personnel can safely access the monitoring system of the photovoltaic power station through the dedicated monitoring software or web page by inputting the correct account and password;

[0100] After entering the system, operation and maintenance personnel can view various operating data, device status and historical record information of the power station in real time, just like on-site monitoring, which is comprehensive and detailed. This allows operation and maintenance personnel to keep abreast of the operation of the power station at any time and make timely decisions and arrangements for maintenance work;

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

[0102] For photovoltaic panel angle adjustment, according to the change of solar position and light intensity, the operation and maintenance personnel can remotely control the adjustment of the angle of the photovoltaic panel to obtain the best light receiving effect and improve the power generation efficiency. The remote control command is transmitted through strict security verification and encryption 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 of the remote monitoring system and the field monitoring system. It constantly monitors and compares the data in the two systems through network communication protocols and immediately updates and synchronizes the data once a difference is found.

[0104] When a sensor in the field 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 relied on by the operation and maintenance personnel when making remote operations and decisions is accurate and reliable.

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

[0106] The operating parameter storage unit stores the operating parameters of the photovoltaic power station, including the power generation, power curve, and provides basic data for subsequent analysis.

[0107] The meteorological information storage unit stores the solar radiation amplitude, temperature, and wind speed meteorological information for analyzing the impact of environmental factors on the operation of the power station.

[0108] The historical data storage unit stores long-term 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, power curve, and power generation data records the total power generation of the power station at 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 panel array and inverter under different operating conditions, providing important basis for evaluating equipment performance and optimizing operation. These operating parameter data are stored in chronological order and classified by equipment for easy subsequent query, analysis, and statistics.

[0111] The meteorological information storage unit specifically stores sunshine amplitude, temperature, and wind speed meteorological data. The sunshine amplitude data records the change of solar radiation intensity in the form of time series, and combined with the power generation data, the influence of light conditions on power generation efficiency can be studied.

[0112] The temperature data records the historical change of power station environmental temperature, which helps to analyze the influence of temperature on equipment performance and service life. The wind speed data can be used to evaluate the potential threat of strong wind weather to photovoltaic panels and provide reference for windproof design and maintenance of the power station. These meteorological data and operation parameter data are correlated, providing rich data resources for comprehensive analysis of power station operation status.

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

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

[0115] The anomaly detection unit performs real-time analysis on the collected data, identifies abnormal patterns and potential risks. The early warning signal generation unit generates an early warning signal when an anomaly is detected, and notifies the operation and maintenance personnel through the system.

[0116] The early warning response unit records the early warning event, tracks the early warning processing process, and ensures that the problem is solved in a timely manner.

[0117] It should be noted that the anomaly detection unit performs deep mining and real-time analysis on the massive collected data. It uses statistical methods such as mean and standard deviation statistical indicators to establish a parameter range model under the normal operating state of the equipment. At the same time, combined with machine learning algorithms such as support vector machine (SVM) and neural network, it performs pattern recognition and classification on the data, which can accurately distinguish between normal and abnormal data patterns. For environmental parameter data, it considers the influence of season, time, and geographical location factors, and establishes a dynamic normal range model. In different seasons and time periods, 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 self-adaptive learning ability, which can continuously optimize the anomaly detection model according to the long-term operation data of the power station equipment, so that it can timely adapt to changes in equipment performance and new abnormal situations.

[0118] When the anomaly detection unit discovers an anomaly, the early warning signal generation unit quickly activates a multi-channel early warning notification mechanism. In addition to highlighting a prominent red warning icon and flashing lights on the monitoring interface, and emitting a loud alarm sound, it also sends early warning information to the operation and maintenance personnel through various communication methods, sends detailed SMS notifications to the operation and maintenance personnel's mobile phone through an SMS gateway, and the SMS content includes the device name, specific location, abnormal data value, and possible preliminary analysis of the fault cause. At the same time, the system automatically pushes the early warning message to the operation and maintenance personnel's dedicated mobile application, and the application supports offline reminder function, ensuring that the operation and maintenance personnel can receive the early warning notification as soon as they enter an area with network connection even without network connection. In addition, for serious abnormal situations, the early warning signal generation unit can also be linked with the power station's broadcast system to make voice broadcasts within the power station, ensuring that all personnel on site can be promptly aware of the abnormal situation so as to take appropriate 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 flow. Based on recording the time of early warning occurrence, abnormal data content, early warning signal sending method, and basic information of the receiving personnel, it will record 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 of maintenance personnel arriving at the scene, the time of starting fault diagnosis, the time of determining fault cause, and the time of implementing maintenance measures. If additional resources need to be called or technical support needs to be sought during the processing process, the early warning response unit will also record the relevant coordination process and results. Once the problem is solved, it will collect the fault handling report filled out by the operation and maintenance personnel, including detailed fault cause analysis, maintenance method, and replacement of parts information, and associate these data with the early warning event, and store them in the early warning history database. Through analysis of the early warning historical data, experience and lessons can be summarized, early warning strategies and processing flow can be optimized, and the ability of the power station to deal with abnormal situations can be improved.

[0120] In specific embodiments, the unmanned aerial vehicle operation and maintenance module includes:

[0121] Flight control unit: controls the flight path and actions of the unmanned aerial vehicle to ensure that the unmanned aerial vehicle can safely and accurately perform tasks;

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

[0123] Data processing unit: analyzes the image data collected by the unmanned aerial vehicle, identifies abnormal conditions of the photovoltaic panel, and generates a report.

[0124] It is to be noted that: the flight control unit adopts high-precision flight control system, has strong autonomous flight ability and environmental adaptability, integrates advanced sensor fusion technology, fuses the data of GPS, Beidou navigation system, barometer, accelerometer and gyroscope, and realizes real-time acquisition of the accurate position, attitude and speed information of the unmanned aerial vehicle in three-dimensional space. In the flight process, the flight control unit automatically plans the optimal flight path according to the preset flight task and real-time environmental data, ensures that the unmanned aerial vehicle can efficiently and safely complete the inspection task of the photovoltaic power station, and when encountering obstacles, it can quickly calculate a safe detour route by real-time sensing the position, shape and size of the obstacle, and maintaining the stability and accuracy of flight; In addition, the flight control unit also supports manual control mode, in special cases, the operation and maintenance personnel can manually operate the unmanned aerial vehicle through the remote controller to realize detailed inspection of a specific area or intervention in emergency, in order to ensure flight safety, the flight control unit also has the function of real-time monitoring of the battery capacity, signal strength, flight state key parameters of the unmanned aerial vehicle, and timely alarm and corresponding emergency protection measures such as automatic return or emergency landing when abnormal conditions occur.

[0125] The image acquisition unit is equipped with a high-resolution, high-frame-rate professional aerial camera, which has excellent image capturing capability. The camera adopts advanced optical image stabilization technology, which can effectively reduce the influence of vibration on image quality during the flight of the unmanned aerial vehicle, ensuring that the captured images are clear and stable. During image acquisition, 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 photovoltaic panels. For photovoltaic panels installed at different inclination angles, it can automatically adjust the camera angle to ensure the best viewing angle of the photovoltaic panels. In environments with large changes in light, it can analyze the light intensity in real time, automatically adjust the exposure time and sensitivity, and ensure that the image brightness and contrast are appropriate. In addition, the image acquisition unit also supports image stitching and panoramic shooting functions, which can stitch multiple local images into a complete photovoltaic array panoramic image, providing a more comprehensive and intuitive overall view of the power station for operation and maintenance personnel. In order to improve the efficiency and coverage of image acquisition, the image acquisition unit can automatically position the image acquisition points and arrange the shooting sequence according to the flight path planned by the flight control unit and the layout of the photovoltaic panels, ensuring that each photovoltaic panel can be fully and carefully photographed.

[0126] The data processing unit employs advanced image processing and analysis techniques to achieve automated processing and accurate recognition of images collected by the unmanned aerial vehicle. In terms of image processing, it first pre-processes the collected images, including image denoising, image enhancement, and image segmentation, to improve image quality and analyzability. Then, it uses deep learning algorithms, such as convolutional neural networks (CNN), to identify and classify the surface state of the photovoltaic panels. Through training on a large number of labeled samples, this algorithm can accurately identify various abnormal conditions on the photovoltaic panels, such as dirt, cracks, damage, hot spots, and accurately calculate the location, area, and severity of abnormal areas. The data processing unit can also fuse image data with geographic information system (GIS) data to accurately locate abnormal photovoltaic panels and provide accurate navigation information for maintenance personnel. When generating a detection report, the data processing unit not only provides detailed descriptions of abnormal conditions and location information, but also provides appropriate maintenance recommendations and solutions based on historical data and expert experience, such as recommending appropriate cleaning methods, repair materials, and tools. In addition, the data processing unit has data mining and analysis functions, which can statistically analyze a large amount of detection data to uncover potential patterns 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 specific embodiments, the employee management and audit module includes:

[0128] Work order management unit: manages repair work orders, including creating, assigning, tracking, and closing work orders;

[0129] Personnel scheduling unit: reasonably assigns maintenance personnel according to the priority of work orders and the skills of employees;

[0130] Performance audit unit: audits the work efficiency and quality of maintenance personnel to ensure the quality of maintenance services.

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

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

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

[0134] Decision support unit: provides decision support, including recommending the best maintenance time and method to help management make more reasonable decisions.

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

[0136] Step 1: Real-time collection of photovoltaic power station equipment data through the data acquisition module;

[0137] Step two: display the operation and state of the equipment in the form of graphics and tables through the real-time monitoring module;

[0138] Step three: then remotely monitor the overall operation through the remote monitoring module;

[0139] Step four: store the sunshine amplitude, temperature, wind speed weather information and module operation parameters through the data storage module;

[0140] Step five: in this process, the abnormal data is prewarned through the early warning module, and the operation and maintenance personnel recheck and troubleshoot;

[0141] Step six: in the unmanned aerial vehicle operation and maintenance module, the unmanned aerial vehicle carries out operation and maintenance work on the power station regularly;

[0142] Step seven: the repair work order is classified according to priority through the employee management and audit module;

[0143] Step eight: finally, the intelligent scheduling module intelligently schedules resources and optimizes the operation and maintenance process according to the monitoring data and early warning information.

[0144] It should be understood that the above specific embodiments of the present application are only used for illustrative or explanatory purposes of the principles of the present application, and do not constitute a limitation on the present application. Therefore, any modification, equivalent replacement, improvement, etc. made without departing from the spirit and scope of the present application shall be included in the protection scope of the present application. In addition, the appended claims of the present application are intended to cover all changes and modifications falling within the scope and boundary of the appended claims, or the equivalent forms of such scope and boundary.

Claims

1. A photovoltaic construction intelligent monitoring device, characterized in that, Comprise: Data acquisition module: real-time acquisition of photovoltaic power plant equipment data; Real-time monitoring module: display the operation and status of the equipment in the form of graphs and tables; Remote monitoring module: remotely monitor the overall operation; Data storage module: store the solar amplitude, temperature, wind speed weather information and module operating parameters; Early warning module: early warning of abnormal data, reviewed and investigated by operation and maintenance personnel; Unmanned aerial vehicle operation and maintenance module: regularly carry out operation and maintenance work on the power station by unmanned aerial vehicle; 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 and the real-time monitoring module are connected through an internal network to realize real-time data transmission. The real-time monitoring module and the remote monitoring module are connected through the Internet to realize remote access and control. The data storage module, as the central database, is connected with other modules through the network to realize centralized storage of data. The early warning module is connected with the data storage module to analyze the stored data in real time and trigger early warning. The unmanned aerial vehicle operation and maintenance module is connected with the data storage module through a wireless network to transmit shooting data in real time. The employee management and audit module is connected with the early warning module through the network to allocate tasks according to the warning information. The intelligent scheduling module, as the core, integrates all module data to realize intelligent scheduling. The data acquisition module comprises: Photovoltaic array data acquisition unit: responsible for collecting current, voltage, power electrical parameters, and temperature, light intensity environmental parameters of photovoltaic panel array; 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 radiation, temperature, and wind speed weather information to provide environmental data support for the operation of the photovoltaic power station; The real-time monitoring module comprises: Data display unit: real-time display of the operation and status of the equipment in the form of graphs and tables, facilitating operation and maintenance personnel to intuitively understand the operation of the power station; Fault diagnosis unit: analyzes real-time monitoring data to quickly locate fault points and provides fault diagnosis results; Alarm prompt unit: when abnormal data is detected, it reminds the operation and maintenance personnel in time through sound and light alarm; The employee management and audit module comprises: Work order management unit: manages repair work orders, including creating, distributing, tracking, and closing work orders; Personnel scheduling unit: reasonably allocates operation and maintenance personnel according to the priority of work orders and the skills of employees; Performance audit unit: audits the work efficiency and quality of operation and maintenance personnel to ensure the quality of operation and maintenance services; The intelligent scheduling module comprises: Resource allocation unit: intelligently allocates operation and maintenance resources based on monitoring data and warning information; Task optimization unit: optimizes the execution order and method of operation and maintenance tasks to reduce unnecessary work and improve efficiency; Decision support unit: provides decision support, including suggesting the best maintenance time and method to help management make more reasonable decisions.

2. The photovoltaic construction intelligent monitoring device according to claim 1, characterized in that, The remote monitoring module comprises: Remote access unit: enables remote access to the power station, allowing operation and maintenance personnel to view the status of the power station from anywhere through the Internet; Remote control unit: allows operation and maintenance personnel to remotely execute control commands, including starting and stopping inverters, adjusting photovoltaic panel angles; Data synchronization unit: ensures data synchronization between the remote monitoring system and the on-site monitoring system, avoiding data inconsistency issues.

3. The photovoltaic construction intelligent monitoring device according to claim 2, characterized in that, The data storage module includes: Operating parameter storage unit: stores the operating parameters of the photovoltaic power station, including power generation, power curve, providing basic data for subsequent analysis; Weather information storage unit: stores solar radiation amplitude, temperature, wind speed weather information, used for analyzing the impact of environmental factors on power station operation; Historical data storage unit: long-term storage of historical operation data, used for trend analysis and performance evaluation.

4. The photovoltaic construction intelligent monitoring device according to claim 3, characterized in that, The early warning module includes: Abnormality detection unit: real-time analysis of collected data, identifying abnormal patterns and potential risks; Early warning signal generation unit: generates early warning signals when abnormalities are detected, and notifies operation and maintenance personnel through the system; Early warning response unit: records early warning events, tracks early warning processing procedures, and ensures that problems are solved in a timely manner.

5. The photovoltaic construction intelligent monitoring device according to claim 4, characterized in that, The unmanned aerial vehicle operation and maintenance module includes: Flight control unit: controls the flight path and actions of the unmanned aerial vehicle, ensuring that the unmanned aerial vehicle can safely and accurately perform tasks; Image acquisition unit: equipped with a high-definition camera to acquire images of photovoltaic panels for detecting panel dirt and damage issues; Data processing unit: analyzes image data collected by the unmanned aerial vehicle, identifies abnormal conditions of photovoltaic panels, and generates reports.

6. A method for intelligent monitoring of photovoltaic construction, using a device for intelligent monitoring of photovoltaic construction according to any one of claims 1 to 5, characterized in that The steps include: Step one: real-time acquisition of photovoltaic power station equipment data through the data acquisition module; Step two: display the operation and status of the equipment in the form of graphs and tables through the real-time monitoring module; Step three: then remotely monitor the overall operation through the remote monitoring module; Step four: store solar radiation amplitude, temperature, wind speed weather information and module operating parameters through the data storage module; Step five: during this process, the early warning module warns of abnormal data, which is reviewed and investigated by operation and maintenance personnel; Step six: in the unmanned aerial vehicle operation and maintenance module, the unmanned aerial vehicle carries out regular maintenance work on the power station; Step seven: prioritize repair work orders through the employee management and audit module; Step eight: finally, the intelligent scheduling module intelligently schedules resources based on monitoring data and early warning information, optimizing the operation and maintenance process.

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