Research Of Monitoring Technology And Application Based On Mobile Oil Chromatographic

Transformer is an important part of power system, its safe and reliable operation directly affect the stability of power grid. Transformer fault has plagued transformer normal work, monitoring technology is an important method of monitoring of transformer oil chromatogram, this paper USES the mobile oil chromatographic monitoring technology design of monitoring device, can achieve the transformer running state monitoring and fault diagnosis, so as to guarantee the safe and stable operation of the transformer.Paper, do the following:1. This paper analyzes the working principle of oil chromatographic monitoring,based on the monitoring of transformer oil chromatogram are studied the fault type and fault diagnosis methods.2. The design of the oil chromatogram monitoring system hardware circuit and mechanical structure. Design mainly includes the data acquisition circuit of single chip microcomputer minimum system, AD interface circuit, clock circuit, keyboard display circuit, FLASH storage circuit, RS485 bus interface circuit, operation state display circuit,etc. The mechanical structure design including the body and the base, column chromatographic separation, micro bridge monitor installation, etc.3. The software design is divided into data acquisition software and PC workstation software design. Data acquisition system applications Keil programming environment,complete oil chromatographic data real-time acquisition and data remote transmission.Design workstation software including data communications, equipment management,personal information management, fault diagnosis module, etc.4. By installing in baotou kunduz nether substation and wet trenches substation220 KV substation oil chromatographic monitoring device, to run the system test.Operation test indicate that the use of oil chromatographic technology design of monitoring device, to realize the effective oil chromatographic data acquisition, and implement effective monitoring of transformer running state and fault prediction.