A monitoring system for smart sensors of power equipment

Abstract

The present invention provides a monitoring system for intelligent sensors of electric equipment. Including: a first sensor, used to be installed on the first device, including a networking module, used to form a plurality of selected associated sensors according to the first device attribute monitored by itself and the pre-stored event attribute corresponding to the fault a first network; a plurality of sensors associated with the first sensor, a part of the number of sensors used to be installed on the same device as the first sensor, and another part of the number of sensors in a plurality of sensors associated with the first device On the device; the first sensor is used to obtain the data of the sensors in the first network, analyze the obtained data according to the event attribute, and determine the probability of failure; according to whether the probability of failure meets the threshold, select whether to The data of the secondary analysis is transmitted to the user side of the network layer through the sink node. This system can reduce the data pressure on the cloud side and improve the efficiency of analysis and response on the cloud side.

Description

technical field [0001] The present invention relates to the field of electric power technology, in particular to a monitoring system for intelligent sensors of electric equipment. Background technique [0002] In the field of power equipment, especially in areas where power grid equipment is concentrated, such as areas where thermal power, hydraulic power, nuclear power, wind power and other energy equipment are concentrated, there is usually a large amount of equipment. These equipment require personnel to conduct safety inspections. Common inspections, in addition to manual inspections In addition, the defects of the current operation are found and reported through the intelligent sensor itself. [0003] In the prior art, as more and more data are reported, there is a large amount of data in the display of the aggregation node or the human-machine interface. These data volumes reduce manual work efficiency and increase monitoring costs. [0004] After the above technical...

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