This paper attempts to solve the job-shop scheduling problem (JSP), in which machines are shared among multiple tasks. For this purpose, a multi-objective optimization model was established to minimize the total completion time and total cost. To solve the model, a scheduling strategy was proposed based on the NGSA with crowding mechanism. Compared with the GA, the improved NGSA can effectively avoid the local optimum trap and maintain population diversity in the later stage. In addition, the heuristic crossover operator was introduced to enhance the local search ability of the improved NGSA. The effectiveness of the proposed scheduling strategy was proved valid through simulation.

Smart grid inspection is a basic maintenance task for power equipment. Through inspection, the reliability and safety of power equipment can be improved, and the failure rate of power equipment can be effectively reduced. In order to improve the quality of smart grid inspections, this paper analyses the limitations of smart grid inspection terminals, proposes methods to expand the private wireless network communication capabilities based on the original terminals, designs and implements software and hardware, and develops prototype equipment. Finally, a verification test is performed based on the actual 230MHz wireless communication network, this proves that the new intelligent inspection terminal can work normally in a private wireless network environment. This paper describes the software design and hardware design ideas in detail, which can be used as a reference for the capacity expansion of various type of terminals in smart grids.

No abstract