Production Management System Design And Key Technology Research Based On Cloud Platform

Traditional manufacturing execution system(MES)requires independent servers to store and process data,which is easy to generate "data islands".The MES system based on cloud platform has attracted more and more attention of the market due to its features of convenient service and low cost.However,there are still some problems in cloud MES system that need to be optimized:workshop situation and job order are changeable and complex,and the assignment after task calculation and scheduling fails to give full play to the maximization of workshop work efficiency;Data transmission speed and security cannot meet the needs of some enterprises.This paper designed the production management system based on cloud platform,use native cloud technology,micro service architecture through the repair order scheduling,production workshop,production data acquisition,quality control,equipment maintenance and management,product traceability management functions such as data flow between modules,realize the production process of online digital business,and greatly improve plant productivity and product quality,reduce production cost and production cycle,to strengthen the control of factory production lines,and apply this system to dial out to the factory.Factory order is an important function of effective scheduling module,cloud mes system is now widely used particle swarm optimization algorithm,particle swarm optimization,PSO algorithm)in the process of using performance rely too much on the quality of the initialization of particle swarm,and at the same time because of the rapid convergence,particle swarm is hard to escape from local,lead to can not find the global optimal solution.In order to solve these problems,three methods are proposed to optimize the dynamic adjustment of parameters during iteration and to suppress precocity by chaos by screening the initial particle swarm.After many tests,the number of iterations of the algorithm was reduced by 34% compared to the previous algorithm.Finally,the fitness value of the optimal solution has almost no fluctuation,which is closer to the real optimal solution than the original PSO algorithm,and greatly improves the production efficiency of the manufacturing workshop.In order to ensure the security of the data,it is necessary to encrypt and transmit the data.In the long encrypted transmission,the IPSec VPN algorithm currently used occupies too much computing resources to meet the long-term and stable data transmission of factory equipment.In this paper,the state secret algorithm is used to optimize it,and hardware encryption card is used to relieve the CPU pressure.In the design of negotiation layer,a combination of encryption,signature and digital certificate is adopted to improve the reliability.At the same time,the state secret algorithm is added to the Linux algorithm library of the server kernel through hardware encryption card,which is convenient for packet processing based on the state secret standard in the transmission process.This optimization improves the authentication authority of both parties and the security of data encryption in the transmission process,and greatly improves the data transmission speed and encryption efficiency.Through the test,the transmission method is successfully encrypted by the state secret algorithm.By adding hardware encryption card and changing the encryption algorithm,the transmission rate is 79%-118.6% faster than the previous IPSec,which meets the needs of enterprises.The 48-hour continuous transmission does not drop,and can be applied in the field.