Research On Offloading Strategy Of Cloud Side Collaborative Computing Task In Electrical Equipment Intelligent IoT Platform

With the deepening of national strategies such as "Made in China 2025" and the promotion of the national quality power strategy,the transformation and upgrading of supply chains and industrial chains towards digitalization,networking,and intelligence is the trend.In order to effectively implement national policy requirements and serve the green and intelligent transformation of industries and enterprises in the service chain,power enterprises has proposed the strategic goal of accelerating the construction of a green modern and intelligent supply chain system.It has put forward higher requirements for improving the quality level of electric power equipment manufacturing and exploring new paths for industry platform development.Power enterprises is fully committed to building the Electrical Equipment Intelligent IoT Platform,achieving deep integration of intelligent manufacturing and smart material supply chain,and comprehensively enhancing the real-time interaction and collaborative capabilities of both supply and demand sides as well as the competitiveness of the electric power equipment industry based on new-generation information technologies such as cloud,big data,IoT,mobile,and AI.Massive data access and emerging latency-sensitive businesses are challenging the cloud-centered computing model.The business requirements of Electrical Equipment Intelligent IoT Platform,such as order tracking,intelligent monitoring,and collaborative quality control,cannot be met,and it is urgent to use edge computing technology to assist the Electrical Equipment Intelligent IoT Platform to improve the efficiency of collecting and processing multi-source heterogeneous information.This article mainly includes the following contents:Firstly,in response to the communication needs of the Electrical Equipment Intelligent IoT Platform,this article designs the communication architecture of the Electrical Equipment Intelligent IoT Platform,introduces edge agents and category center collaborative control communication data to meet the communication requirements of massive and heterogeneous electric power equipment production data.Secondly,in response to the problem of the large computing and storage pressure caused by massive electric power equipment data access,this article proposes a service caching and computing offloading strategy for Electrical Equipment Intelligent IoT Platform,and studies and demonstrates the existence of the master-slave game and Nash equilibrium point between the computing service provider and the supplier,with the goal of minimizing the delay in processing supplier data,and proposes a generalized Benders decomposition algorithm combined with particle swarm optimization to solve the problem.Finally,in response to security issues such as privacy data leakage in the Electrical Equipment Intelligent IoT Platform,this article proposes a task offloading strategy considering electric power equipment data privacy,and proposes a task offloading mechanism combining false task and type mapping mechanism to meet the computing and security requirements of the category center and equipment supplier,while minimizing the privacy entropy generated by supplier task offloading under the premise of communication delay restriction,ensuring the security of data processing.