A smart factory abnormal data processing method, device, system and storage medium
A technology of abnormal data and processing methods, applied in the direction of electrical digital data processing, special data processing applications, database models, etc., can solve problems such as influence, unreliable data processing and calculation, and affect the intelligent implementation of smart factories, so as to ensure accurate performance, and the effect of improving the scope of application
Active Publication Date: 2022-05-27
北京可视化智能科技股份有限公司
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[0003] In the actual industrial production process, the accuracy and real-time performance of data are mostly improved through instrument upgrades and process management optimization. Once abnormal data conditions occur, such as data mutation, data loss or interruption, data mismatch, etc., abnormal data It will still cause the process of data processing and calculation to be untrustworthy. Whether it is factory automation, intelligence or the application of big data, it will be affected. On the one hand, it will reduce the energy efficiency of smart factory data resource applications. Intelligent landing
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[0048] In order to make the purposes, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application.
[0049] In addition, the term "and / or" in this article is only an association relationship to describe associated objects, indicating that there can be three kinds of relationships, for example, A and / or B, it can mean that A exists alone, A and B exist at the same time, There are three cases of B alone. In addition, the charac...
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The present application provides a method, device, system and storage medium for abnormal data processing in a smart factory. The method includes: acquiring key parameters in real time; establishing a data association model for key parameters based on historical data; The relationship establishes a business model; according to the business model and the real-time correlation parameters of the key parameters, the real-time compensation or correction data of the key parameters is calculated and output. On the one hand, the establishment of the data association model realizes the establishment of the calculation relationship between key parameters and associated parameters; on the other hand, the establishment of the business model can be more in line with the actual situation of the industrial site, making the calculation results of compensation or correction data more suitable for the key The actual value of the parameter; finally, since the output is the compensation or correction data, the real-time correction of the key parameters is realized. In the abnormal data processing process of the smart factory, the accuracy, continuity and real-time of the data involved in the calculation are guaranteed. .
Description
technical field [0001] The present application relates to the technical field of abnormal data collection, and in particular, to a method, device, system and storage medium for processing abnormal data in a smart factory. Background technique [0002] As the mainstream of future development, smart factories mainly realize the rational use of factory data assets. In the process of landing a smart factory, it is necessary to collect the data of each technological process in the factory. However, any data analysis process needs to ensure the accuracy and real-time nature of the data, which will directly affect whether the process control can be automated and intelligent, and whether the basic conditions for big data analysis and mining are reliable. [0003] In the actual industrial production process, the accuracy and real-time nature of data are mostly improved by means of instrument upgrades and process management optimization. Once abnormal data conditions occur, such as d...
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IPC IPC(8): G06F16/215G06F16/28
CPCG06F16/215G06F16/288
Inventor 邓全亮高维嘉周诗义华玉行
Owner 北京可视化智能科技股份有限公司