On-line diagnosing method for faults of metering production facility
A technology for measuring production facilities and diagnostic methods, applied in the direction of neural learning methods, biological neural network models, etc., can solve problems affecting the production of measurement centers, low work efficiency, and time-consuming, so as to improve the level of operation and maintenance and improve work efficiency , The effect of ensuring reliability
A technology for measuring production facilities and diagnostic methods, applied in the direction of neural learning methods, biological neural network models, etc., can solve problems affecting the production of measurement centers, low work efficiency, and time-consuming, so as to improve the level of operation and maintenance and improve work efficiency , The effect of ensuring reliability
CN104732276AActive Publication Date: 2015-06-24STATE GRID CORP OF CHINA +2
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[0076] In order to make the object, technical solution, and advantages of the present invention clearer, the specific implementation manners of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0077] The technical solutions in the embodiments of the present invention will be clearly and completely described and discussed below in conjunction with the accompanying drawings of the present invention. Obviously, what is described here is only a part of the examples of the present invention, not all examples. Based on the present invention All other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0078] Such as figure 1 shown, with figure 1 It is a schematic diagram of the hardware setting of the online fault diagnosis system for metering production facilities. The centralized monitoring layer refers to the pre-acquisition serve...
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The invention discloses an on-line diagnosing method for faults of a metering production facility. The method comprises the following steps that firstly, centralized monitoring data are collected; secondly, a diagnosing expert base (training sample) is established; thirdly, a fault prediction model based on an artificial neural network is established; fourthly, on-line diagnosis is carried out on the faults of the metering production facility. All of hardware production units of the metering production facility are provided with alarming equipment, however, when the faults actually occur, production is usually already influenced, and the alarming equipment does not send alarms aiming at production anomalies and some equipment faults. An on-line diagnosing system for the metering production facility constantly analyzes 'four-line-one-storeroom' system running data, a current system running state is judged, the faults are predicted, when the production anomalies or the equipment faults are predicted, staff can solve the problems in time, threats which might influence the production are eliminated, and the reliability of the metering production facility is greatly improved.
Description
technical field [0001] The invention relates to the technical field of electricity utilization in electric power systems, in particular to an online fault diagnosis method for metering production facilities. Background technique [0002] Metering production facilities "four lines and one warehouse" (single-phase smart energy meter automatic verification line, three-phase smart energy meter automatic verification line, low-voltage current transformer automatic detection line, power collection terminal automatic detection line, intelligent storage warehouse) each The monitoring data of the sub-control system is sent to the pre-acquisition server, and the centralized monitoring data of the metering center is collected. On this basis, the application of online fault diagnosis based on artificial neural network in the metering center is carried out. [0003] First sort out a large amount of centralized monitoring data, analyze the monitoring data of normal and faulty metering pr...
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Patent Timeline
24 Jun 2015
Publication
CN104732276A
- IPC
- G06N3/08
- Inventors
- 彭楚宁; 范洁