Design And Implementation Of Intelligent Operation And Maintenance System For Photovoltaic Power Generation

With China’s policy support and price subsidies for the photovoltaic industry,the informatization of photovoltaic construction has entered a new stage of rapid development.However,in the production,the photovoltaic power station must ensure 24 hours of uninterrupted operation,and the operation and maintenance of the power station faces severe challenges.At present,although some photovoltaic power stations have adopted the information-based operation and maintenance method,the operation and maintenance system is complicated to operate,the user has high learning cost,and the equipment status and operation and maintenance process cannot be effectively evaluated,and the equipment status and operation and maintenance process cannot be effectively evaluated.At the same time,it is difficult to locate the equipment faults in time,and most of the faults need to be eliminated by manual inspection.The quality of the operation and maintenance of the power station depends entirely on the efficiency and professionalism of the operation and maintenance personnel,resulting in low efficiency of the operation and maintenance of the power station.In response to the above problems,this paper designs and implements a photovoltaic power generation intelligent operation and maintenance system based on the Django framework.The system adopts B/S architecture,uses Python language development,and uses My SQL database to store operation and maintenance data and power generation data,to realize the operation and maintenance intelligence and data visualization of the power station.The research content of this article is as follows:First of all,through the actual investigation of the current operation and maintenance mode of photovoltaic power plants,the problems in the current operation and maintenance work are found,and the background and significance of the topic of the paper are proposed.After analyzing the research status of photovoltaic power plant operation and maintenance at home and abroad,the main research contents of the paper are expounded.At the same time,the key technologies required to develop this system were determined.Secondly,using the concept of modular design of functions such as device management,intelligent monitoring,log management,user management,and historical data query,the business process analysis and construction of the system’s functional modules through the use case diagram and use case description table mold.The non-functional requirements of the system are analyzed from the perspective of system security,real-time and reliability,and the feasibility of system implementation is analyzed from the perspective of technology,economy,and operating environment.Thirdly,based on the analysis of system requirements,the system topology,technical architecture,system project structure,and functional architecture are designed.Combining module class diagram,sequence diagram,flow chart,and the design and implementation process of each module are explained in detail.According to the module structure of the system,the database of the system is designed,and the relationship between the system database tables and the meaning of each field in the table is analyzed in detail.Finally,the test environment is deployed on the system to complete the test analysis of the system.Test case design was conducted for the core functions of the system,the test results were analyzed,and the problematic programs were modified and passed the test.On this basis,the system performance,security,and compatibility indicators were tested.At present,the photovoltaic power generation intelligent operation and maintenance system has been verified by users’ feedback and system testing.The system has good practicability and stability,meets the basic business needs of power station operation and maintenance personnel,effectively improves the power station operation and maintenance management model,and the system meets the expected design aims.