No abstract

Abstract.In view of the current social background of power system becoming more and more complicated, and the current research situation of related fields, this paper discusses the common methods of power system risk assessment, including the method of hierarchy analysis, Markov chain model, Monte Carlo method, fuzzy comprehensive evaluation and related research progress.The advantages and disadvantages of the four methods are enumerated respectively. It is considered that the power system should be evaluated synthetically in the practical application and the effective risk assessment method should be adopted rationally.

With the continued construction of information and smart grid for electric power sector, they are entering a big data era. The most immediate priority is to solve the big data storage for the power industry under massive amounts of data. The purpose of big data storage for electric power sector is not simple to show different patterns of data but also to provide guarantee for big data mining. The data storage models for electric power big data include the data model and the storage model. The paper states some optimal schemes for data storage in order to manage the electric power big data. At the same time, to improve the big data storage scheme further, some key techniques of index structure are introduced for electric power big data. The scheme for electric power big data storage and management is studied. Through combining big data with the electric power sector, storage architecture of power industry is designed.

Course information database in selection course system occupies an important position, database design is an important part of software design, but also it is also the key supporting software system running, it is the starting point for software design, plays a decisive role in the qualitative change. In this paper, to conduct database design for PE network selection course system. System database mainly uses SQL Server 2008 database management tool design. First performed conceptual design, with E-R diagram shows a conceptual model; Then, introduced logic design, and its main job is to entity-relationship model (E-R diagram) derived from conceptual design into the relational model, on this basis, do proper optimization for it, each relationship is converted to table structure; and finally, discussed physical design and security design of the database.

Construction project cost is the key problem in the control and management of construction project. For the existing cost system can not adapt to the development of the construction industry information needs of the status, this paper based on the use case model technology to the construction cost system function demand analysis, provides support for the system development. The research content is based on the construction cost structure, and design the use case model of construction cost system, design the construction project cost system function frame. The core function of the system is composed of "Template information management, Supplier information management, Cost model management, Project cost management, Cost control management, System maintenance management" six modules, each of which contains a number of sub modules. In this paper, the design method is reliable, and the function design is comprehensive.