Research On Resource Scheduling And Task Collaborative Issues Of The Manufacturing System In Internet Of Things

With the growing intensification of global market competition and the development of modern information technology,manufacturing industry that is treated as the pillar industry of national economy will face unprecedented challenges.The combination of the Internet of Things(IOT)technology and the manufacturing industry will help to promote the development of the manufacturing industry.It can also confirm to the two important strategy plans("Made in China 2025" and "Itegration of Informatization and Industrialization").The architecture of manufacturing system and the resource scheduling are the basis and prerequisite for the realization of the IOT manufacturing system.The establishment of manufacturing system with IOT technology is not only one of the effective methods to deal with complex and changeable customer demands as well as the increasingly fierce market competition but also a key factor to improve the core competitiveness of China's manufacturing industry.In order to promote the development of the traditional manufacturing system,the manufacturing system,based on IOT,has been established.Because of the advantages of abundant resources and real-time data,the manufacturing system based on IOT can effectively promote the development of the traditional manufacturing industry and can meet the requirement of modern manufacturing industry and the development of economic globalization.This thesis focuses on the problem of resource scheduling and task coordination in the manufacturing system of the IOT.The architecture problem and resource classification problem of manufacturing system under the IOT environment are analyzed respectively,and the overall architecture and resource classification model of manufacturing system under the IOT environment are established.A resource scheduling model based on benefit function and a multi-objective optimization model of task collaborative allocation are established,and the related algorithm is applied to solve it,and the algorithm is evaluated.The specific research work and achievements are summarized as follows:(1)The architecture of the manufacturing system is researched and one kind of architecture based on the proposed IOT is constructed.The construction process combines the features of the IOT and the manufacturing system to achieve more efficient production,management and service.According to the architecture,the sub process of the information integration and data management system of the workshop inside the constructed system is established.At the same time,the basic architecture of maintenance and operating system based on IOT maintenance operation process is built considering the possible damage of the parts and manufacturing tools etc.These help perfect the architecture of the manufacturing system.(2)The resource classification of manufacturing system based on IOT is studied.A resource architecture of manufacturing system and a resource identification method based on the architecture are proposed.The method of resource classification of the manufacturing system is summarized,and an architecture of resource system with five layers is established based on the constructed manufacturing system.On the basis of the existing resource identification technology,the information system of the new resource identification method including manufacturing resources system,resources regional information,resource category information and resource source information is proposed combined with the resource system architecture established.The description method of resource is given according to the method of resource identification,and the research content is explained taking a part factory as an example.The problem of unclear classification of resources and low efficiency of resource searching in the manufacturing system is solved.(3)The resource scheduling problem of manufacturing system based on IOT is studied.After the proposal of the resource scheduling method of manufacturing system based on benefit function,a mathematical model is established and the algorithm simulation is completed to verify the rationality of the scheduling algorithm.The sharing and collaboration of resources can promote the self-organization process of the manufacturing system.Considering the separation of the scheduling mechanism and trust mechanism in the computing service of manufacturing system,a special trust-driven load balancing algorithm is put forward and a preliminary simulation of resource scheduling in manufacturing system is done.Compared with other algorithms,this algorithm has some advantages in load balance,task average waiting time,task execution time span and other aspects.(4)The task collaborative allocation problem of manufacturing system based on IOT is studied.A multi-objective optimization model of task collaborative allocation is constructed,and an adaptive genetic algorithm for task collaborative allocation is proposed.The idea and strategy of collaborative control in manufacturing system are introduced.Through the control center,the task monitoring and management of product manufacturing and manufacturing unit can be efectively realized,the target assignment of product manufacturing unit is completed,and the communication topology architecture is determined and managed.The task oriented collaborative control architecture of the manufacturing system can mobilize the whole system to work together.The design task of one robot is taken as an example to analyze the task allocation model and algorithm established in this thesis.The fuzzy comprehensive evaluation algorithm(FCE)is introduced to help promote the decision of the design scheme.The research of collaborative control contributes to the promoting of the perfection process of the manufacturing system architecture under IOT and it is of great significance for improving the efficiency of manufacturing system.