Unlock instant, AI-driven research and patent intelligence for your innovation.

Grinding roller wear prediction method and device, computer equipment and readable storage medium

A prediction method and roller grinding technology, which is applied in the field of coal mills, can solve problems such as waste of resources such as manpower and material resources, and achieve the effects of improving operating efficiency, avoiding waste of resources such as manpower and material resources, and improving detection efficiency

Pending Publication Date: 2021-01-26
北京京能能源技术研究有限责任公司 +1
View PDF0 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Based on this, it is necessary to provide a grinding roller wear prediction method, device, computer equipment and available methods to address the problem that the maintenance plan of the existing grinding roller is out of touch with the actual state of the grinding roller, which easily leads to waste of resources such as manpower and material resources. read storage medium

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
  • Grinding roller wear prediction method and device, computer equipment and readable storage medium
  • Grinding roller wear prediction method and device, computer equipment and readable storage medium
  • Grinding roller wear prediction method and device, computer equipment and readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] In order to make the above-mentioned purpose, features and advantages of the present application more obvious and understandable, the specific implementation manners of the present application will be described in detail below in conjunction with the accompanying drawings. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the application. However, the present application can be implemented in many other ways different from those described here, and those skilled in the art can make similar improvements without departing from the connotation of the present application. Therefore, the present application is not limited by the specific implementation disclosed below.

[0043] The serial numbers assigned to components in this document, such as "first", "second", etc., are only used to distinguish the described objects, and do not have any sequence or technical meaning. The "connection" and "connection" ment...

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 provides a grinding roller wear prediction method and device, computer equipment and a readable storage medium. The grinding roller wear prediction method comprises the following steps:firstly, determining operation parameters of each historical maintenance period and maintenance data of a grinding roller according to historical maintenance data of a coal mill, wherein the operationparameters comprise unit consumption and primary air volume of the coal mill; secondly, acquiring current operating parameters of the coal mill, and determining historical operating parameters matched with the current operating parameters according to the operating parameters of each historical maintenance period; and finally, determining the actual abrasion increment of the grinding roller according to the maintenance data, corresponding to the historical operation parameters, of the grinding roller and the current operation parameters. According to the invention, the real-time online prediction is carried out on the actual state of the grinding roller in the coal mill by adopting the mode, and the problem of resource waste such as manpower and material resources caused by adopting a planned maintenance mode is avoided, so that the detection efficiency of the actual state of the grinding roller is improved, and the operation efficiency of the coal mill is improved.

Description

technical field [0001] The present application relates to the technical field of coal mills, in particular to a grinding roller wear prediction method, device, computer equipment and readable storage medium. Background technique [0002] The medium-speed coal mill is an important auxiliary equipment for coal-fired thermal power generating units. The role of the medium-speed coal mill is to grind coal into qualified coal powder. The grinding roller in the medium-speed coal mill is an important component of the coal grinding process, which is subjected to the friction and wear of coal and high-stress contact fatigue during use. [0003] At present, the maintenance method for grinding rollers is mainly based on planned maintenance (such as regular inspection of grinding roller wear). However, the method of planned maintenance is not related to the actual running state of the grinding rollers, and there is a situation where the maintenance plan is out of touch with the actual ...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/00G06Q10/04G06Q10/06
CPCG06Q10/20G06Q10/04G06Q10/067
Inventor 郭强金生祥梅东升白德龙姜世峰孙健何川赵志宏仇晓智张宏元宋宇董伟波梁满仓郭永红高旭东梁浩
Owner 北京京能能源技术研究有限责任公司