Self-adaptive electricity-stealing-preventing monitoring method and system based on electricity consumption information acquisition system
A technology for collecting system and electricity consumption information, applied in the direction of electrical signal transmission system, signal transmission system, instrument, etc., can solve the problems of poor interaction of electricity stealing information and inaccurate location of electricity stealing events, so as to improve accuracy and work efficiency , Eliminate potential safety hazards and save labor force
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Embodiment 1
[0034] figure 1 It shows the implementation process of an adaptive anti-stealing electricity monitoring method based on the electricity consumption information collection system provided by an embodiment of the present invention. The process execution subject of this embodiment may be a server, and the process is described in detail as follows:
[0035] Step S101: Obtain training samples. The training samples include historical relevant data. The relevant data include current loss data, voltage phase failure data, reverse power abnormal data, phase sequence abnormal data, three-phase current unbalance data, and small power in the station area. Number of users, line loss rate and industry data.
[0036] In this embodiment, in order to establish the correlation between the abnormal power data and the anti-stealing electricity, it is first necessary to train a classifier with a large number of training samples, so that the classifier can be used to classify the types of the train...
Embodiment 2
[0075] Such as Figure 4 As shown, an embodiment of the present invention provides an adaptive anti-stealing monitoring system 1000 based on a power consumption information collection system, which is used to perform figure 1 The method step in the corresponding embodiment, it comprises:
[0076] The sample acquisition module 1010 is used to acquire training samples, the training samples include historical relevant data, and the relevant data include current loss data, voltage phase failure data, reverse power abnormal data, phase sequence abnormal data, three-phase current unbalance data, Number of low-power users in the station area, line loss rate and industry data;
[0077] The weight generation module 1020 is used to cluster and group the relevant data, and calculate the maximum probability of the relevant data in the corresponding cluster group, and generate the corresponding weight of the relevant data;
[0078] Relevant data obtaining module 1030, for obtaining the r...
Embodiment 3
[0093] An embodiment of the present invention also provides a server, including a memory, a processor, and a computer program stored in the memory and operable on the processor. When the processor executes the computer program, the computer program described in Embodiment 1 is implemented. The steps in the various embodiments, such as figure 1 Steps S101 to S106 are shown. Alternatively, when the processor executes the computer program, it realizes the functions of the modules in the device embodiments described in Embodiment 2, for example Figure 4 The functions of modules 1010 to 1060 are shown.
[0094] The server may be computing devices such as desktop computers, notebooks, palmtop computers, and cloud servers. The server may include, but not limited to, a processor, a memory. For example, the server may also include an input and output device, a network access device, a bus, and the like.
[0095] The so-called processor can be a central processing unit (Central Pro...
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