Shipbuilding Enterprise’s Safety Management System Based On Data Mining

Shipbuilding enterprise’s safety management is having entered a stage of rapid development. The development of Shipbuilding enterprise’s safety management is supported by the index system of Shipbuilding. The traditional Shipbuilding enterprise’s safety management mode is papery file management. This management method is rough; it is very difficult to query the result. So this method isn’t able to satisfy the demand of enterprises. In order to improve the efficiency of management of the index of Shipbuilding and make full use of the information technology, there is an urgent need to establish a consummate shipbuilding enterprise’s safety management system to support the works that manage the index system of Shipbuilding.In this paper, the following studies have been done:1. In this paper, the present status of shipbuilding enterprise’s safety management has been introduced. The importance of the shipbuilding enterprise’s safety management has been analyzed. The application status of the domestic and international shipbuilding enterprise’s safety management has been described. The requirement of design the system has been shown.2. In this paper, we explores the decision tree classification algorithm in data mining and Apriori association rules algorithm in the application of the ship safety management system on the basis of the ship safety management requirements. The system has been analyzed by the technology of object-oriented and Unified Modeling Language.We have established the system structure based on the model-view-controller. The shipbuilding enterprise’s safety management system is divided into 4 function module: system management module, standard management module, standard search module, user individuation module.3. The system uses the.net technology, based on MVC Framework, using the ASP.NET MVC Framework and the ADO.NET Entity Framework and Aprori algorithm design and development. The system modeling has been realized by using UML tools. We completed the detailed design of the system modules and database structure. We have realized the shipbuilding enterprise’s safety system based on data mining.4. In this paper, the system implementation section shows the main operation interface of the system modules and the operation mode of each function.The shipbuilding enterprise’s safety management system can effective manage the result of index system of shipbuilding; realize the decision tree algorithm and Aprori algorithm integrated applications. This system has provided a high-efficiency information platform that can help the enterprise to make a decision.