Research On Coal Washery CPS And Production Scheduling Of The System

With the development of the smart mine,higher requirements for intelligence are proposed in coal washery production. At present, the control and information collection of subsystems in the monitoring system of coal washery are independent. It is incapable to model the whole production process of coal washery as a whole or realize system optimized control by real time interaction of the subsystems. Therefore, it is essential to research the intelligent coal washery and production scheduling. Taking the Xing Long Zhuang coal washery in Yanzhou as an example, the CPS is introduced into the coal washery, and the coal washery CPS model and production process are researched.In view of the problems that subsystems in the current PLC system are mutually independent. A coal washery CPS model based on semantic agent is established by combining features of MAS and network structure of PLC. The mutual relations of the major agencies in the CPS and the mutual exchanging of agency management are analyzed in this thesis.In order to solve the intelligent scheduling problem, a static production scheduling strategy in coal washery CPS model which is based on the order windows and aimed at the maximum economic benefits is established, and solved by TS-PSO. The combination of PSO and TS avoid the shortcoming of PSO that it stepping into the optimum so early and the overdependence on the initial solution of TS.The feasibility of the static model using in coal washery is proved by theoretical analysis and the effectiveness of solving the static scheduling model with TS-PSO is also proved by simulation.In view of the dynamic production environment, several factors causing the change of the physical environmental are analyzed in the thesis and the dynamic scheduling strategies in coal washery CPS under the equipment exception and rush order are put forward. The scheduling can be finished by the cooperation and coordination among the order agent, scheduling agent and workshop management agent if there is a change in the environment. The dynamic production scheduling strategy is simulated when there is a rush order and the result shows its feasibility.The research results in the thesis shows that CPS can solve the problems of the PLC system, satisfy the meet of the intelligence and improve the production efficiency by optimizing the scheduling strategy.