Electrical equipment state diagnosis device and method based on Internet of things and information fusion

Abstract

The invention relates to an electrical equipment state diagnosis device and method based on Internet of things and information fusion. The device comprises an equipment state information extraction module, an equipment diagnosis result output module and a data analysis module. The data analysis module is provided with an equipment state information data interface module, a data preprocessing and feature extraction unit, a data fusion processing unit, a data inductive analysis unit and a data output interface module. The method comprises the following steps of: obtaining the information data of an equipment state by using the equipment state information extraction module; preprocessing the data and extracting features; performing normalized fusion processing and fusion at the data fusion processing unit; and performing analysis and processing by using the data inductive analysis unit to determine the equipment state. The device and method can timely and comprehensively diagnose the running state of the equipment, achieve an effect of on-demand detection, facilitate the reasonable allocation of limited human resources, reduce the work pressure of staff, and save cost for power enterprise.

Description

technical field [0001] The invention belongs to the technical field of state diagnosis of electric power equipment, in particular to an apparatus and method for state diagnosis of electric power equipment based on the Internet of Things and information fusion. Background technique [0002] The power equipment in the power system includes a variety of status information, how to timely and accurately diagnose the status of the power equipment plays a vital role in the normal operation of the power system. At present, the state detection of power system equipment can adopt traversal detection method, which has problems such as insufficient comprehensive fault diagnosis information and poor timeliness of diagnosis; the state detection of power system equipment can also use the method of obtaining data offline for equipment state diagnosis, but this The detection method has poor real-time performance, and it is difficult to meet the needs of rapid diagnosis of equipment status. ...

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Problems solved by technology

[0003] The purpose of the present invention is to overcome the deficiencies of the prior art, provide a device and method for diagnosing the status of power equipment based on the Internet of Things and information fusion, and solve the defects of the existing traditional fault diagnosis methods such as insufficient information and poor timeliness of diagnosis , and solve the problem that the current method of equipment status diagnosis through offline data acquisition is not reliable enough to meet the rapid diagnosis of equipment status

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