Power distribution network fault analysis method and device, equipment and storage medium
A distribution network fault and analysis method technology, applied in neural learning methods, biological neural network models, instruments, etc., can solve problems such as poor applicability, high cost, and low analysis and processing efficiency
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Embodiment 1
[0029] figure 1 It is a flow chart of a distribution network fault analysis method provided by Embodiment 1 of the present invention. This embodiment is applicable to the implementation process of distribution network fault analysis. The method can be implemented by the distribution network fault analysis device in any embodiment of the present invention. To execute, specifically include the following steps:
[0030] Step 110, acquiring data information, the data information includes ambient temperature, ambient humidity, device performance, device running time, port inbound / outbound traffic, processor utilization and memory utilization.
[0031] Specifically, the ambient temperature can be obtained through a temperature sensor, and the ambient temperature can be the temperature of the distribution network equipment or the ambient temperature of the distribution network area; the ambient humidity can be obtained through the humidity sensor, and the ambient humidity can be the ...
Embodiment 2
[0045] figure 2 It is a schematic diagram of the correlation relationship between two kinds of data information in a distribution network fault analysis method in Embodiment 2 of the present invention. On the basis of the above technical solution, optionally, performing normalized modeling processing on the data information includes:
[0046] Perform normalized modeling processing on the data information and the correlation relationship of the data information, in which the correlation relationship of the data information includes ambient temperature, ambient humidity, equipment performance, equipment running time, port out / in traffic, processor utilization, memory Correlation between at least two terms in Utilization.
[0047] refer to figure 2 , figure 2 The correlation relationship between two kinds of data information is shown. For example, at least one measured index A is related to the service success rate of the problematic network device. The measurement index ...
Embodiment 3
[0090] Figure 5 It is a schematic structural diagram of a distribution network fault analysis device provided in Embodiment 3 of the present invention. refer to Figure 5 , the device 300 includes:
[0091] A data information acquisition module 310, configured to acquire data information, wherein the data information includes ambient temperature, ambient humidity, device performance, device running time, port in / out traffic, processor utilization and memory utilization;
[0092] A two-dimensional matrix generating module 320, configured to perform normalized modeling processing on the data information to generate a two-dimensional matrix;
[0093] A training model building module 330, configured to set up a multi-layer training model;
[0094] The output value generating module 340, substitutes the two-dimensional matrix into the multi-layer training model to obtain the first output value;
[0095] Numerical judgment module 350, for if the first output value meets the pre...
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