Method and device for generating dynamic threshold value for equipment early warning based on statistical model

A statistical model and dynamic threshold technology, applied in fuzzy logic-based systems, calculations, alarms, etc., can solve problems such as false alarms, false alarm warnings, and inability to adapt to data fluctuations

Pending Publication Date: 2022-08-02
重庆云内核智能科技有限公司
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

However, the static threshold cannot adapt to the normal data fluctuations of industrial equipment due to environmental influences, fou

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  • Method and device for generating dynamic threshold value for equipment early warning based on statistical model
  • Method and device for generating dynamic threshold value for equipment early warning based on statistical model
  • Method and device for generating dynamic threshold value for equipment early warning based on statistical model

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Embodiment Construction

[0045] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0046] In order to accurately describe the technical content of the present application and to accurately understand the present application, the following explanations or definitions are given to the terms used in the present specification before the specific embodiments are described.

[0047] A time series refers to a group of observations or recorded values ​​of the same variable arranged in the order of occurrence time.

[0048] ...

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Abstract

The invention provides a method and device for generating a dynamic threshold value for equipment early warning based on a statistical model. The method comprises the steps that historical data of recent (n + 1) days of operation of multiple devices are acquired, and n is a natural number larger than 1; processing the historical data of the recent (n + 1) days, and generating device objects for the plurality of devices; processing the device object based on a statistical model, and generating a fitting adjustment value for the result objects of the plurality of devices; and generating respective dynamic thresholds for the plurality of devices for device early warning by using the result objects for the plurality of devices. According to the method, the dynamic threshold prediction precision is improved; the mathematical models trained by the multiple devices are packaged in the result object, so that network transmission is facilitated, and the storage space occupied by the mathematical models is reduced.

Description

technical field [0001] The invention relates to the technical field of equipment early warning, in particular, to a method and device for generating dynamic thresholds for equipment early warning based on a statistical model. Background technique [0002] At present, anomaly detection technology is widely used in various industrial fields, especially in the industrial Internet scenario, it is widely used in the detection, early warning, alarm and other services of massive equipment. This is because, in the production management activities of manufacturing enterprises, real-time monitoring of the operation status of equipment or systems, and timely warning, alarm and timely response to abnormal status are necessary measures to avoid production suspension or business interruption. [0003] Most of the current general anomaly detection technologies are based on preset static thresholds and combined with preset early warning rules to achieve early warning or alarm for massive eq...

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Application Information

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IPC IPC(8): G06F16/2458G06F17/18G06K9/62G06F16/21G06F16/9537G06N7/06G08B21/18
CPCG06F16/2462G06F17/18G06F16/9537G06F16/2474G06F16/219G06N7/06G08B21/18G06F18/214
Inventor 徐玥
Owner 重庆云内核智能科技有限公司
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