Design of hardware self-diagnosis system based on local module
Zhu Changyin1, Liu Dongchao1, Xia Yongjun2, Li Hengxuan2, Cai Min3
1. NR Electric Co., Ltd, Nanjing 211102; 2. State Grid Hubei Electric Power Research Institute, Wuhan 430077; 3. State Grid Hubei Electric Power Co., Ltd, Wuhan 430077
Abstract:According to the requirements of the new generation intelligent substation secondary system for the hardware reliability of local equipment, this paper studies the method of hardware self-checking. In view of the difficulties in memory testing, a new detection method is proposed to improve the memory error correction ability and obtain the running status of hardware equipment in time. The newly designed local module has the function of abnormal active early warning and automatically identifies hidden faults of secondary equipment. Through the expansion of communication protocol, the hardware self-checking information is sent to the hardware self-checking monitoring system to realize the overall perception of the secondary equipment status of substation, which provides technical support for condition maintenance and improves the running reliability of equipment.
朱长银, 刘东超, 夏勇军, 黎恒烜, 蔡敏. 一种基于就地模块的硬件自诊断系统设计[J]. 电气技术, 2020, 21(7): 35-41.
Zhu Changyin, Liu Dongchao, Xia Yongjun, Li Hengxuan, Cai Min. Design of hardware self-diagnosis system based on local module. Electrical Engineering, 2020, 21(7): 35-41.