Based on Beidou satellite communication platform, sliding force remote monitoring and warning system was widely used in Lingbao Luoshan gold ore, which had achieved remarkable social and economical benefits. However, ...Based on Beidou satellite communication platform, sliding force remote monitoring and warning system was widely used in Lingbao Luoshan gold ore, which had achieved remarkable social and economical benefits. However, there is one monitoring point at every 1 000 m2, and their distribution is so discrete that it will no doubt increase construction and operation cost if every monitoring point was installed a Beidou subscriber machine. Therefore, based on Zigbee wireless sensor network technology, network structure and the nodes, embed wireless sensor node in remote monitoring and warning system, a base platform of local wireless sensor network is formed, and it can combine punctiform monitoring information with planar network and transmit concentrated information through Beidou satellite terminal machine; as a result, this largely expands the transmission distance of monitoring data展开更多
This paper proposes a method for transformer fault detection system based on GSM network, through the current transformer, voltage sensor information, the known fault information attribute conditions, and the feedback...This paper proposes a method for transformer fault detection system based on GSM network, through the current transformer, voltage sensor information, the known fault information attribute conditions, and the feedback weighted coefficient through the adaptive feed forward, that can obtain high fault information attributes, thus filtering interference factors and timely get fault information properties. It solves the traditional transformer can only judge general fault and fault real-time alarm by GSM network, the system also can measure the transformer oil temperature and oil temperature alarm in super high temperature, to detect the power transformer operation parameters, and the fault running state （over-current, over-voltage, under-voltage, warning）. The actual test system show that, diagnosis ability of fault signal separation ability and small signal identification increases 17%. also meet the requirements of real-time.展开更多
基金Supported by the National Natural Science Foundation （41040027）
文摘Based on Beidou satellite communication platform, sliding force remote monitoring and warning system was widely used in Lingbao Luoshan gold ore, which had achieved remarkable social and economical benefits. However, there is one monitoring point at every 1 000 m2, and their distribution is so discrete that it will no doubt increase construction and operation cost if every monitoring point was installed a Beidou subscriber machine. Therefore, based on Zigbee wireless sensor network technology, network structure and the nodes, embed wireless sensor node in remote monitoring and warning system, a base platform of local wireless sensor network is formed, and it can combine punctiform monitoring information with planar network and transmit concentrated information through Beidou satellite terminal machine; as a result, this largely expands the transmission distance of monitoring data
文摘This paper proposes a method for transformer fault detection system based on GSM network, through the current transformer, voltage sensor information, the known fault information attribute conditions, and the feedback weighted coefficient through the adaptive feed forward, that can obtain high fault information attributes, thus filtering interference factors and timely get fault information properties. It solves the traditional transformer can only judge general fault and fault real-time alarm by GSM network, the system also can measure the transformer oil temperature and oil temperature alarm in super high temperature, to detect the power transformer operation parameters, and the fault running state （over-current, over-voltage, under-voltage, warning）. The actual test system show that, diagnosis ability of fault signal separation ability and small signal identification increases 17%. also meet the requirements of real-time.
