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Power state judgement algorithm based on autonomous learning

A power state, self-learning technology, applied in complex mathematical operations, calculations, instruments, etc., can solve the problem of inaccurate judgment of the start and stop status of power consumption monitoring equipment in working conditions, and achieve the effect of accurate calculation and high reliability

Pending Publication Date: 2020-12-04
山东诺蓝信息科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a power state judgment algorithm based on autonomous learning, which is used to solve the problem of inaccurate judgment of the start-stop state of the power consumption monitoring equipment in working conditions

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  • Power state judgement algorithm based on autonomous learning
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Embodiment Construction

[0025] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the technical solutions in the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0026] Embodiments of the present patent are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are only used for explaining the patent, and should not be construed as limiting the patent.

[0027] In the descr...

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Abstract

The invention discloses a power state judgement algorithm based on autonomous learning, and the algorithm comprises a data statistics system, a judgement system, a data reading system, a stepping interval calculation system and a loop inspection system, wherein the data statistics system is used for counting all power consumption data of an enterprise, and the judgement data is used for judging the data validity of the data statistics system; the data reading system is used for reading average power information of electric equipment in a factory, the stepping interval calculation system is used for executing cyclic calculation operation on each stepping interval, and the cyclic inspection system is used for credibility of credible intervals. According to the algorithm, the autonomous learning is carried out through chart display and intuitive decision, calculation is more accurate, a result is guided, the reliability is higher, autonomous inference is carried out based on software, andthe equipment operation state is mastered from the power utilization law.

Description

technical field [0001] The invention relates to the technical field of data structures and algorithms, in particular to a power state judgment algorithm based on autonomous learning. Background technique [0002] At present, for the electricity monitoring industry of working conditions, it is particularly important to determine the status of working conditions and equipment. According to the "Technical Guidelines for Electric Power Monitoring under Air Pollution Conditions", the basis for judging equipment status is described as "the actual power of the production facilities is within 20% of the five-day average of normal production, and the actual power of the pollution control facilities is lower than 10% of the rated power. % or below 20% of the five-day average of normal pollution control.” The logic of the calculation is simple and rough. Since there are many scenarios that need to be monitored for the power consumption of the enterprise's working conditions, it is nec...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/18G06Q10/06G06Q50/06
CPCG06F17/18G06Q10/0639G06Q50/06
Inventor 潘红光车昕孙大明王涛涛王利平马论论樊永森
Owner 山东诺蓝信息科技有限公司
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