| 摘要 |
The present invention relates to an intelligent early warning system for electromechanical equipment, comprising: a data collection unit, an operating model self-learning system, and operating information analysis system, a fault information processing unit, and a logic control unit. The data collection unit is connected to a piece of electromechanical equipment. The operating model self-learning system is connected to the data collection unit. The operating information analysis system is connected between the data collection unit and the operating model self-learning system. The fault information processing unit is connected to an output end of the operating information analysis system. The logic control unit is connected at an input end thereof to an output end of the fault information processing unit and controls the electromechanical equipment. The present invention allows for comparison, on the basis of operating parameters of the electromechanical equipment, of a standard operating model established in the self-learning system with the operating parameters newly collected in real time, improved accuracy in learning whether or not the electromechanical equipment is operating normally, and, when an abnormality is found in the operation of the electromechanical equipment, effective control of fault escalation and reduced abnormal downtime of the electromechanical equipment. |
