| Due to our large population and urbanization trends which are becoming evident, electricity is the essential supporting condition to social development and people’s life. Electricity demand rises shapely, following the pressure of design and implementation monitoring and analysis of operational data. In order to adapt to the changes in electricity demand, manage power resources, protect people’s livelihood, the design and implementation of monitoring and analysis of operational data is a mandatory requirement. The monitoring and analysis system of Weihai Power Company plant operation data realizes the modern information technology of the power supply system, supply real-time data monitoring and analysis, serve the power industry well.Weihai Power Company plant operation data monitoring and analysis system is based on Java language, the use of B/S structure, combined with MVC design, using the SSH framework.So the system is divided into three layers from the bottom to the top. They are the physical layer, the control layer and representation layer in order. The physical layer using Hibernate and the relationships of the mapping table implements object-oriented mapping and database interaction. The technology which connects the database is JDBC. The database persistent data uses Microsoft SQL Server 2014. The control layer belongs to a mediation layer, based on Spring. It consists of two core components:the system core controller and business logic controllers. It calls the appropriate underlying entity, handles events and completes business logic according to the request of the customer. The presentation layer interacts with the user directly and receives the request form the user. What’s more, the system implemented by the Struts framework will handle the underlying reaction at the interface.Weihai Power Company plant operation data monitoring and analysis system achieves the five functional modules, including basic information maintenance of power plants, electricity statistics of utility power plants, comprehensive statistical of public power plants, operational data management, comprehensive statistical for power to heat set. Among them, the functions implemented by basic information maintenance of power plants include maintenance of local power plant information, maintenance of generating units information, heating boilers information maintenance, maintenance of pipeline information, maintenanceof pressure and temperature reducing information and integrated information display. The functions implemented by electricity statistics of utility power plants include Heat-electric model maintenance, Heat-electrical data calculation. The functions implemented by comprehensive statistical of public power plants include viewing power plant generating capacity in a given period, grid electricity, electricity charge with a net or for personal use and other information. The functions implemented by operational data management include the maintenance of the power plant coal and power generation plan.The functions implemented by comprehensive statistical for power to heat include statistical information of power plant heat and electricity, displying the data of heat-to-electric ratio and thermal efficiency and viewing real-time data.The system exactly corresponds with the needs of the management and information of electric power. It has a good results after puting into use. The monitoring and analysis of data is accurate. It is easy for managers to make a variety of favorable regulatory decisions based on specific data and avoid a variety of the trouble and inaccuracies of doing operational aspects. Thus it saves the cost of company management and improves management efficiency. |