Intelligent monitoring and management system for operation of power distribution cabinet based on data analysis
A technology of intelligent monitoring and management system, applied in substation/distribution device casing, electrical components, circuit devices, etc., can solve problems such as power distribution cabinets that cannot fluctuate greatly, law analysis, etc.
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Embodiment 1
[0028] see figure 1 As shown, an intelligent monitoring and management system for the operation of power distribution cabinets based on data analysis includes a state monitoring module, an environment analysis module, a cycle management module and a law analysis module. The state monitoring module is connected to the environment analysis module and the cycle management module in communication. The cycle management module is connected in communication with the law analysis module.
[0029]The state monitoring module is used to monitor, manage and analyze the running state of the power distribution cabinet: mark the power distribution cabinet undergoing state monitoring and management analysis as the monitoring object i, i=1, 2, ..., n, n is a positive integer, get the monitoring The internal temperature data NWi, vibration data ZDi and noise data ZSi of the object i, and the acquisition process of the internal temperature data NWi of the monitoring object i includes: acquiring ...
Embodiment 2
[0034] see figure 2 As shown, a method for intelligent monitoring and management of power distribution cabinet operation based on data analysis includes the following steps:
[0035] Step 1: Monitor and analyze the operating state of the power distribution cabinet and obtain the state coefficient. Determine whether the operating state of the power distribution cabinet is qualified through the value of the state coefficient. If the operating state of the power distribution cabinet is qualified, it will be marked as a normal object. Go to step 2; if the power distribution cabinet is unqualified, mark it as an abnormal object and go to step five;
[0036] Step 2: Periodically monitor the normal object and obtain the stationary coefficient of the normal object, mark the normal object as a stationary object or a floating object according to the numerical value of the stationary coefficient, and perform step 3 for the stationary object; perform step 4 for the floating object;
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