Early warning method based on rule engine and intelligent prediction

A technology of intelligent forecasting and rules, applied in forecasting, biological neural network models, data processing applications, etc., can solve problems such as complicated rules, heavy maintenance workload, and short processing and protection time, and achieve timely warning and simplified workload.

Inactive Publication Date: 2015-05-27
CETHIK GRP
View PDF4 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method is used to solve the current situation of complicated rules and heavy maintenance workload, low early warning timeliness and short t

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Early warning method based on rule engine and intelligent prediction
  • Early warning method based on rule engine and intelligent prediction
  • Early warning method based on rule engine and intelligent prediction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0052] Example: such as figure 1 As shown, a schematic flow chart of the method steps of an early warning method based on a rule engine and intelligent prediction is as follows:

[0053] (1) The rule engine parses the rule file to obtain and store the warning rules;

[0054] The warning rules are generated by analyzing the user-defined warning rule files when the rule engine is initialized. The steps of the analysis process are as follows: figure 2 shown, including the following steps:

[0055] 1) The pre-defined warning rule file by the user is used as the input of the rule engine parsing process.

[0056] Among them, the early warning rule file conforms to specific grammatical rules, and enables users to flexibly express the early warning demand file of various monitoring data changes and trends. This file can be parsed by the rule engine into early warning rule data for use in early warning analysis. The specific format can refer to image 3An example of an early warni...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to an early warning method based on rule engine and intelligent prediction. The method comprises steps as follows: various monitoring data sensing gateways wirelessly upload monitoring data to an early warning analyzer, the early warning analyzer analyzes the monitoring data in combination with two modes and finally judges whether the monitoring data meet the early warning condition or not, and the early warning analyzer judges whether early warning is performed or not according to an early warning rule which is analyzed by a rule engine and flexibly configured by a user or according to current monitoring data and future monitoring data predicted from historical data with a neutral network method in combination with the early warning rule or according to historical monitoring data and historical early warning data trained models. Early warning is performed timely if the early warning analyzer gives an early warning. The method is used for solving problems that existing early warning rules in all industries are diversified and complex to manually maintain, heavier in workload, low in early warning timeliness and short in handling and protection time.

Description

technical field [0001] The invention relates to the technical field of safety monitoring and monitoring, in particular to an early warning method based on a rule engine and intelligent prediction. Background technique [0002] At present, safety monitoring and monitoring technology has been widely used in natural disaster prevention, industrial and mining production safety and other industries. Generally, the key safety parameters in the natural and production process are monitored, and when the limit value is reached, a strong prompt alarm is generated. [0003] However, this common alarm method is relatively simple, and the alarm rules are complicated and difficult to maintain. It cannot timely provide early warning and analysis of abnormal dynamic changes in monitoring values, and cannot notify relevant parties in advance for preventive protection, and cannot reliably guarantee safety. production work. Contents of the invention [0004] In order to overcome the above ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06Q10/04G06N3/02
CPCG06N3/02G06Q10/04
Inventor 李志军赵明林友勇程宏才
Owner CETHIK GRP
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products