Active fault first-aid repair method based on power grid big data
A big data and fault technology, which is applied in the direction of fault location, measurement of electricity, and measurement of electrical variables, etc., can solve problems such as extended repair time, inability to provide basic analysis data for active repair command of distribution network, and inability to arrive quickly
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Embodiment 1
[0043] Please refer to figure 1 , this embodiment provides an active fault early warning system based on grid big data, including:
[0044] Information storage module 1, real-time status detection module 2, index comparison module 3, communication module 4, positioning module 5, maintenance management terminal 6.
[0045] The information storage module 1 stores the level information of the power transmission and transformation equipment and the corresponding health status index range and early warning index range; the real-time status monitoring module 2 monitors the status information of the power transmission and transformation equipment, including the voltage, current, and power generation of the power transmission and transformation equipment , load, temperature, humidity, and the aging degree of the line.
[0046] The indicator comparison module 3 compares the status information of the power transmission and transformation equipment monitored by the real-time status moni...
Embodiment 2
[0049] This embodiment provides a fault active repair method based on grid big data, including:
[0050] Such as figure 2 As shown, the method includes:
[0051] First, set the level of power transmission and transformation equipment according to the size of the service scope corresponding to the power transmission and transformation equipment in each link. Generally, according to the size of the service scope, it can be set to user level, floor level, building level, community level, street level, area level, city level, etc.
[0052] According to the requirements of the operation management system, set the health status index range and early warning index range corresponding to the power transmission and transformation equipment at each level.
[0053] The real-time status monitoring module 2 monitors the status information of the power transmission and transformation equipment, including the voltage, current, power generation, load, temperature, humidity, and aging degre...
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