Flexible Job Shop Scheduling In Smart Factories Based On Energy Harvesting Wireless Network

Intelligent manufacturing provides a new opportunity for China's transformation from a manufacturing country to a manufacturing power country,which is the development trend of future manufacturing industry.Building an intelligent factory with interconnected production units and intelligent management decisions is an effective way to achieve intelligent,efficient and personalized production services,and improve the economic and social benefits of manufacturing factories.The design of the intelligent manufacturing system needs to consider the robustness of the cyber physical system and the efficient performance of the scheduling decision system.The information transmission quality of the industrial communication network will directly affect the decision results of the system and increase the manufacturing cost of the factory.In this paper,a general intelligent factory control system model of architecture is established,the RF energy harvesting cooperative relay is introduced into the production area data acquisition oriented Industrial Wireless Sensor Networks(IWSNs).By designing an efficient power distribution algorithm,the real-time transmission rate of the network is improved on the basis of ensuring the network reliability,and the flexible production scheduling problem considering the reliability of IWSNs is further studied to reduce the production cost of manufacturing factories.The research has theoretical significance and practical application value for the design of algorithm components in the smart factory production control system.The main research contents are introduced as follows:Firstly,the design of universal intelligent plant control system model of architecture is studied,and the " Micro services-multi agents " model including the custom industry customer service oriented the business management model,the production task and the customized service oriented service model and the multi-agent model of manufacturing resources oriented industrial site is provided.What's more,the communication requirements of the scheduling model framework are demonstrated,and an effective industrial communication network model is designed,which provides the model basis and theoretical basis for the performance optimization of the IWSNs and the design of production scheduling algorithm.Secondly,the cooperative relay IWSNs model for industrial data acquisition is established,and an optimization problem that comprehensively considers the energy harvesting of interfering RF signals and the maximization of the network packet loss rate of IWSNs to maximize the total transmission rate of the network,the Successive Convex Approximation(SCA)method is used to transform the original non-convex optimization problem into a convex optimization problem,and the iterative power distribution algorithm for distributed RF energy acquisition relay is designed to obtain the optimal relay power distribution strategy.Simulation results show that the algorithm can converge to the optimal solution quickly and accurately.Finally,a flexible job-shop scheduling algorithm considering the reliability of IWSNs is designed to realize the adaptive scheduling of smart factories.In view of the shortcomings of the traditional Flexible Job-shop Scheduling Problem(FJSP)model in terms of the lack of industrial wireless network reliability modeling analysis,a FJSP model considering the bit error rate of the IWSNs link where each production agent is located is established.At the same time,the production variables are blurred according to the actual production situation,the relationship between process processing sequence and machine processing sequence is established through double-layer coding.Furthermore,the efficient solution is designed to obtain the optimal solution of fuzzy FJSP.Simulation results show that the optimal production scheduling strategy can effectively reduce the costs of the smart factory.