摘要：With the continuous advancement of the national energy strategy of China, constructing multistation fusion platform (MSFP) of substations, energy storage stations, and data center stations by taking advantage of the remaining resources of substations is a development trend. The monitoring of equipment operation and environmental parameters is a powerful guarantee for the stable and reliable operation of MSFP. Thus, this study developed an intelligent integrated monitoring system construction method that consists of state perception, information fusion, and decision and control layers. First, the state of equipment and environmental parameters were monitored efficiently through built-in status signals and multisensing techniques. Then, the multilevel transmission network, composite data structure, and data interface are integrated to achieve the collection of multisite information. Moreover, the device object model and station-level digital model were designed. Finally, the abnormal fault diagnosis of equipment, data fusion regulation, and coordinated optimization control were completed by using knowledge graph, data optimization and neural network modeling, and hierarchical analysis of multiple application scenarios in MSFP. The intelligent monitoring system can monitor and control the equipment, operation, and environment in the MSFP efficiently, thereby providing technical support for the new development of China’s electric power industry.
