Research on Real-time and Non-real-time Task Core Division and Collaborative Processing Technology for Distribution Network Monitoring and Control Chip

With the rapid development of smart grids, the complexity of tasks in distribution network monitoring and control systems has been continuously increasing. Efficiently handling real-time and non-real-time tasks has become a key factor in improving system performance. This paper addresses the real-time and non-real-time task scheduling problem of distribution network monitoring and control chips in a multi-core architecture and proposes an optimized solution based on multi-core collaborative processing. By allocating tasks between real-time cores and non-real-time cores, and combining Real-Time Operating System (RTOS) with Linux operating system, task priority scheduling and resource allocation are achieved. Furthermore, the impact of inter-core collaboration mechanisms on system performance is explored, proposing optimization solutions for shared memory and message mailbox mechanisms. A comparative analysis of communication delay, bandwidth utilization, and data consistency under different mechanisms is conducted. Experimental results show that the proposed method significantly improves system response time, task completion rate, and stability under high-load conditions, providing effective technical support for the efficient operation of distribution network monitoring systems.