Design And Implementation Of Enterprise Document Management System For Electric Power Industry

As the consumption of energy increased, all countries are starting exploring the development and usage of new energy. During the development of enterprise, which human resource is quite reliable to collect the data due to bad communications and coordination between departments, and furthermore the engineering enterprise split into several subsidizes. That the mentioned reasons caused consequences such as information block, efficiency low and documents review slowly. The enterprise will generate the operational strategy based on the statistical data, which badly influenced the efficiency and availability. At present society, the later an enterprise establishes operational strategy, the more risk encountered and more interest lost.Aimed at above problem and the actual condition of power enterprise existing situations, this dissertation aims to introduce a B/S structure production data system for power enterprise, as well as proposing a statement of the design for the system and how it achieves with a background of management of power enterprise data. The system adopted Windows Server2003as internet operation system, Java as a developing language, SQL Server as backstage database. At the meantime, the MVC module is adopted in the core system design, which simplified the development.Enterprise document management system for electric power industry contains the following functions:system information management, documents management, checking management, send-receive management, and statistical analysis management. Among the functions, data review function is the main major design of this system that the work stream thought is adopted. Such that will deal with the complicated and changeable business flow adjustment review. Another highlight of this system is that the system is able to collect data for electricity production, the production status is well observed by the statistical data. The enterprise strategy and production strategy will be better formulated to optimize production and assist administrators to establish decisions.