DCD-based hydrometallurgical leaching process fault diagnosis method

A technology of hydrometallurgy and fault diagnosis, applied in program control, instrumentation, electrical testing/monitoring, etc., can solve problems such as difficult fault diagnosis, many process parameters, and complex hydrometallurgical process

Active Publication Date: 2018-11-06
NORTHEASTERN UNIV
View PDF11 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the hydrometallurgical process is relatively complex, with many process parameters and many variables that

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
  • DCD-based hydrometallurgical leaching process fault diagnosis method
  • DCD-based hydrometallurgical leaching process fault diagnosis method
  • DCD-based hydrometallurgical leaching process fault diagnosis method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0091] In order to better explain the present invention and facilitate understanding, the present invention will be described in detail below through specific embodiments in conjunction with the accompanying drawings.

[0092] The present embodiment provides a DCD (Dynamic Causality Diagram, dynamic causality diagram)-based method for diagnosing a fault in a hydrometallurgical leaching process, comprising the following steps:

[0093] Step A: Establish the DCD knowledge base model of the diagnostic object. Specifically, establish a dynamic causal graph knowledge base by extracting information from expert knowledge and process data as prior information, including the selection and definition of basic event and intermediate event variables, variable The connection and establishment of the causal relationship among them, and the setting of various parameters required by each variable;

[0094] Step B: Use the real-time operation data collected in the actual process to monitor whe...

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 belongs to the technical field of fault diagnosis of hydrometallurgical leaching processes, and in particular relates to a DCD-based hydrometallurgical leaching process fault diagnosis method. The DCD-based leaching process fault diagnosis method is mainly used for a hydrometallurgical leaching process and is characterized by extracting information in expert knowledge and process data as the prior information to establish a dynamic causality diagram knowledge base; activating an inference diagnosis mechanism after an abnormal situation is observed; calculating the posterior probability of each possible fault cause by using the abnormal situation as an evidence; and obtaining a diagnostic result by comparing the posterior probabilities. The algorithm mainly includes the stepsof leaching process DCD event determination, DCD structure learning, DCD parameter learning and DCD online process fault diagnosis. The method processes the uncertainty of information in the leachingprocess by using the DCD fault diagnosis technology, reduces the dependence of the diagnostic technology on a large amount of data to a certain extent, can bring more accurate diagnosis results, and ensures the economic benefit and the production benefit of enterprises.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis of hydrometallurgical leaching process, and in particular relates to a method for fault diagnosis of hydrometallurgical leaching process based on DCD. Background technique [0002] With the gradual reduction of high-grade ore, the hydrometallurgical industry has begun to be highly valued by countries all over the world. Compared with traditional pyrometallurgy, hydrometallurgy technology has the advantages of high efficiency, cleanliness, and is suitable for the recovery of low-grade complex metal mineral resources. Especially in view of the low grade, complex symbiosis, and high impurity content of gold mines in my country, the industrialization of hydrometallurgical processes is of great significance for improving the comprehensive utilization rate of gold mines, reducing solid waste production, and reducing environmental pollution. Facing such a complex industrial process as hydrometal...

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): G05B23/02
CPCG05B23/0243G05B2219/24065
Inventor 王姝张思琦刘秀鹏常玉清赵露平王福利
Owner NORTHEASTERN UNIV
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap