Method for carrying out online anomaly monitoring on industrial time series data through data processing

A technology for time series data and anomaly monitoring, applied in electrical digital data processing, data processing applications, special data processing applications, etc., can solve the problem that the application of industrial time series data analysis and processing has not been reported in detail, and achieve simplified data processing. Quantity, high friendliness, and the effect of simplifying data

Pending Publication Date: 2022-05-10
上海零灏智演科技有限公司
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Problems solved by technology

[0004] The published application occasions of the above patents are different. Although they have achieved good results in their application occasions and have good prospects for expanding their use, their applications in the field of analysis and processing of industrial time-series data have not been reported in detail.

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  • Method for carrying out online anomaly monitoring on industrial time series data through data processing
  • Method for carrying out online anomaly monitoring on industrial time series data through data processing
  • Method for carrying out online anomaly monitoring on industrial time series data through data processing

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Embodiment Construction

[0042] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only A part of the embodiments of this application, rather than all of them; based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without making creative labor achievements should belong to the protection of this application range;

[0043] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other, and the present application will be described in detail below;

[0044] Step 1. Process the repeated data of online monitoring. The processing flow has three parts: preprocessing,...

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Abstract

The invention discloses a method for carrying out online anomaly monitoring on industrial time series data through data processing, which comprises the following steps of: firstly, processing a large amount of input data, and carrying out quality evaluation on the processed data; an LSTM neural network model based on particle swarm optimization optimization is established, a group of prediction data is trained through the model, a comprehensive monitoring index is obtained through calculation after residual errors of the prediction data and actual input data are obtained, finally, a state monitoring model is determined through the comprehensive monitoring index, and online abnormal data monitoring is carried out on input industrial time series data. Compared with the prior art, the method has the advantages that the processed data volume can be simplified, and the data processing process is simplified while key information is mastered; besides, faults of the system can be handled in time, the friendly degree of abnormity monitoring is high, the reliability of system operation is improved, and a brand new thought is provided for handling the problems.

Description

technical field [0001] The invention relates to the technical field of online anomaly monitoring based on a long-short-term memory model optimized by a particle swarm algorithm, in particular to an online anomaly monitoring method for industrial time series data through data processing. Background technique [0002] Since the world entered the era of industrialization, industrial equipment can obtain massive and complex time-series data through sensors. How to quickly mine useful information from massive time-series data is a hot research direction. At the same time, abnormal working conditions in complex industrial systems cannot be completely avoided. If the important information processed in big data can be used to monitor the abnormal operation of industrial systems online, it will not only simplify the data processing process while grasping key information, It can respond to system failures in time and improve the reliability of system operation. [0003] According to ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/00G06Q10/06G06N3/04G06N3/08G06F16/215G06F16/2458
CPCG06Q10/20G06Q10/0639G06N3/086G06F16/215G06F16/2474G06N3/044
Inventor 刘利强张睿张振兴
Owner 上海零灏智演科技有限公司
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