Research On Decision-making And Dispatching Technology Of Preventive Maintenance Of Industrial Steam Turbine Based On Life Model

With the rapid development of equipment manufacturing industry, industrial steam turbine has been more and more widely used. Industrial steam turbine structure is complex,bulky, many parts, in the event of failure, it is difficult to repair in a short time, seriously affecting the production. Preventive maintenance, as an important equipment maintenance method, can reduce the number of equipment failures and reduce the loss of equipment due to downtime. Therefore, preventive maintenance plays an important role in ensuring the normal operation of industrial steam turbines. In this paper, the methods of service life distribution model matching, preventive maintenance model optimization and maintenance task dispatching are studied in three aspects. The 6000KW condensing steam turbine is taken as an example to verify the proposed method and improved model.In the first chapter, the research status of equipment life distribution matching,preventive maintenance decision and maintenance task scheduling is expounded, and the shortcomings of existing preventive maintenance methods in industrial steam turbine are analyzed. The research purpose and the research object of the paper are determined. Finally,the research content and organizational structure of the paper are given.In the second chapter, based on the gray relational analysis method, a multi-level progressive equipment life model matching method is proposed for the existing methods of pattern matching and hypothesis testing in the traditional life distribution model matching method. The exact matching of the equipment life distribution model is realized by using the probability graph method, the linear regression method, the k-s check method and the gray correlation degree method. The multi - level progressive matching process of equipment life distribution model was established, and the life distribution model matching of 6000KW condensing steam turbine was realized.In chapter 3, the relationship between the life span of the equipment and the change of energy consumption and the reliability of the equipment is studied. The preventive maintenance cost of the equipment is analyzed, and the preventive maintenance cost function of the equipment is established. This paper studies the equipment maintenance method based on reliability as the center, and establishes a decision model based on reliability constraint.The concept of energy consumption constraint is put forward, and the multi - objective decision - making of preventive maintenance of equipment is realized considering the factors such as maintenance cost, reliability and energy consumption. Taking the 6000KW condensing steam turbine as an example,the multi - objective decision analysis of preventive maintenance is carried out.The fourth chapter analyzes the basic situation of maintenance task scheduling, and puts forward the classification method of maintenance task scheduling sequence and task scheduling method for preventive maintenance. This paper studies the characteristics of scheduling and allocation of maintenance tasks under preventive maintenance, and summarizes the preventive maintenance scheduling algorithm. A series maintenance scheduling process is developed for the series maintenance sequence, which optimizes the scheduling of maintenance tasks. Verification is got combined with industrial steam turbine for example.In the fifth chapter, according to the preventive maintenance technology of the paper, a prototype of industrial steam turbine maintenance service management system has been developed. The user information management, maintenance service management and maintenance scheduling management and other functional modules were initially realized.The last chapter summarizes the contents of the paper and gives the direction of the next step.