设备电参量在线监测及故障诊断的研究
[Abstract]:The use of electric energy is the symbol of human entering a new civilization period. With the gradual development of modernization and automation, people rely more and more on electricity. Nowadays, electric energy has become a basic energy source for human life and production. The more and more extensive and frequent use of electric energy makes the effective management and safety of electric energy become the core problem of the process of electricity use. In this paper, the general electric power monitoring system is analyzed, the data collection and communication protocol are studied, and the research status of fault arc detection in distribution cabinets is analyzed, aiming at the saving and utilization of electric energy and safety in production. An on-line monitoring and fault arc diagnosis system for electrical parameters of equipment is proposed. The system consists of two parts: on-line monitoring of electric quantity and arc fault diagnosis of distribution cabinet. For the electric quantity monitoring part, the system uses the communication technology to transmit the electric parameters collected in the field to the monitoring computer, so as to realize the remote measurement, transmission, control and adjustment of the data, which is convenient for the managers to monitor the remote electric equipment. Administration and Management The system consists of three parts: field layer, network layer and supervision layer. The field layer collects the electric parameters and the arc sound data of the distribution cabinet; the network layer transmits the data to the supervision layer by using the RS485 bus TCP / IP network protocol and WIFI module; the supervision layer monitors the energy consumption information in real time through the upper computer interface compiled by LabVIEW. It is convenient for the supervisor to grasp the energy consumption situation and adjust accordingly. In the aspect of fault diagnosis, the electric arc diagnosis in the switchgear cabinet is mainly studied. In view of the common methods of waveform malformation by monitoring the line voltage and current, the equipment needs high requirements and the calculation is complicated. In this system, the fault arc diagnosis is realized by detecting the physical phenomena when the arc occurs. The system makes use of the characteristic that the electric arc produces the sound in the circuit before it is generated. It uses several optical fiber sound sensors to detect the sound inside the switchgear. After synthetically judging the detection information through the information fusion technology, the system sends out an alarm to the manager. And make the equipment to make corresponding protection measures. In the whole system, in order to enhance the management function, the data collected are analyzed, compared and analyzed, the reason of energy consumption is analyzed, the reasonable index is established, the management is emphasized, and the production and life of safety and economy are realized.
【学位授予单位】:天津科技大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:TM933
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