Nuclear Power Project Schedule Information Mining System Based On Data Ware House

Compared with the general construction projects, nuclear power project are characterized by high security requirements, complex process and control system, difficult construction, long building cycle, high capital investment density, large count uncertainties. All of these determine nuclear power project's progress schedules have multiple stage, multi level and multi job. In addition, participation subject of nuclear power project are numerous. And geographic distribution is scattered. So the preparation of progress schedules is very complex. Control difficulty is very high.Meanwhile, it will come out mass data from management process of nuclear power project. Regulation, experience and knowledge of engineering needed by decision-making in progress management hided in these engineering data have guiding significance for follow-up of projects. But the information is always put on the shelf with construction completing and data archiving. And the information can't be used fully. It has important significance that how to extract useful knowledge and information form massive data constructed by item accumulate for complicating progress schedule fast and accurately which is complex and multiple operation for new project and providing support continuously, dynamically and effectively.The technology of data mining and knowledge discovery from databases is combination of artificial intelligence, machine learning and database technology. They are mainly used to discover implicit previous unaware potential useful knowledge from data set of commercial database and data mining. It is not retrieval and query information simply. Currently data mining and knowledge discovery already have extended from commercial to other industries. But they are rarely applied in project management field.This paper applies the data mining technology in the decision-making of nuclear power project schedule management plan and control. Carrying on the branch to the nuclear power schedule management decision-making flow to unearth basing on nuclear power project schedule management information flow's present situation and demand, taking the nuclear power project management information system as data platform, establishing the nuclear power project progress history information storage and the use system frame take the data warehouse as the data model and using based on the data mining policy-making tool. Thus it can realize goal of schedule management entire flow decision-making intellectualization.Firstly, this paper systematically introduces the basic principle of nuclear power plant and the characteristics construction equipment and nuclear power engineering construction's prime task and progress system. Through analyzing nuclear power project schedule management in information flow and physical demand, it summarizes and designs have changed into the goal by schedule management flow decision-making intelligence the data warehouse subject model. It has established take the data warehouse as the core system overall frame.Secondly, abased on establishment subject model characteristic, it realized the Apriori connection rule, the artificial neural networks, the cluster, the attribute induction five kinds of data mining model algorithm in the excavation module applicationFinally, it elaborated the general way of nuclear power construction enterprise schedule management data warehouse system design. In base of summarizing management information system intellectualization trend of development, it proposes a frame of intelligence management information system abased on the data warehouse. It discuss project management pattern transformation which will be brought by the project management intellectualization.