| With the continuous progress of power enterprises,the management system of power enterprises has undergone reform,requiring power plants to change traditional management methods and models,create conditions for the construction of smart power plants based on digitization,and adapt to market demand while ensuring the company’s own operational goals.The limitation of traditional power plant management lies in the lack of efficient,real-time,and accurate information support,resulting in low management efficiency.In view of the current status of power plant management system,the development of intelligent power plant management system is completed by combining Spring Cloud technology architecture,data collection technology,front-end and back-end development technology.Firstly,this article discusses the relevant technologies involved in the development of a smart power plant from the perspectives of data collection,backend business logic implementation,and frontend interface design.Subsequently,an economic and technical index calculation model was established,and the business logic code for the economic and technical index calculation model was completed on the backend server,realizing the online calculation function of the index module of the economic and technical index,helping personnel to better analyze the operating conditions of the units in the power plant,and make better decisions.Secondly,the advantages of the core open-source components of the system were analyzed,and the REST specification API interface was selected in combination with widely applied scenarios.Using the Spring Cloud technology architecture,the smart power plant management system was designed to divide functions into services and implement mutual calls between services.Drawing on the micro service concept in the Spring Cloud framework,the overall reliability and performance stability of the system were improved,and the smart power plant management system was optimized.This is a process of modular encapsulation of the smart power plant management system using Spring Boot technology.In this way,the introduction of cumbersome configurations can be avoided,the system construction process can be simplified,and the implementation of the entire system can be made more convenient.Meanwhile,a series of tools that are easy to maintain and implement rapid deployment were compiled during the development process.By analyzing the requirements of the system in the power plant and conducting research on the actual situation,the overall architecture of the system,including the economic and technical indicators module,equipment management module,and power plant load module,was designed with corresponding functions.After multiple rounds of development and testing,the smart power plant management system has successfully realized the core functional components and corresponding service modules.The system has undergone strict testing,and the results of the functional unit tests show that the system modules operate normally and can meet the needs and requirements of users.Performance testing was also conducted to ensure the system’s reliability in actual production environments under high-concurrency scenarios.Finally,the design and implementation of the smart power plant management system were summarized,and prospects for future optimization were presented.A toolkit that is easy to understand,deploy and maintain is summarized to complete the development of the distributed system.Through the analysis of the requirements of the system in the power plant and the investigation of the actual situation,the overall architecture and corresponding functional modules of the system are designed.The smart power plant management system finally realizes the core functional components and corresponding functional modules of the system.Through the system test case,the function test is carried out,which basically ensures that the system has certain overall reliability,performance stability,and scalability. |