Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Multi-objective optimization method for washing and selecting coal

A multi-objective optimization and objective technology, which is applied in the special application scenarios of coal mines and in the field of data processing, and can solve problems such as the inability to optimize products with large objectives.

Pending Publication Date: 2020-01-24
北京黑色智慧科技有限公司
View PDF5 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to provide a multi-objective optimization method for washing and blending coal, which is used to solve the defect that the products formed by the coal washing process in the prior art cannot achieve the maximum optimization target

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
  • Multi-objective optimization method for washing and selecting coal
  • Multi-objective optimization method for washing and selecting coal
  • Multi-objective optimization method for washing and selecting coal

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0092] Such as figure 1 as shown, figure 1 It is a schematic flow chart of the multi-objective optimization method for coal washing and blending provided by an embodiment of the present invention. The execution subject of the method in this embodiment can be any terminal used to display the final target value. Specifically, the method includes the following step:

[0093] A01. The display interface of the client shows the optimization data within the preset time period in the coal mine production system. The optimization data includes: target value, real-time data corresponding to the target value and input parameters; wherein, the real-time data is cloud The data obtained in each calculation time period in the coal mine production system, the input parameters are the parameters input by the user through the smart device obtained by the cloud, and the target value is the cloud through the coal according to the real-time data and input parameters. The data acquired by the tar...

Embodiment 2

[0107] Such as figure 2 as shown, figure 2 It is a schematic flowchart of a multi-objective optimization method for coal washing and blending provided in another embodiment of the present invention. The execution subject of the method in this embodiment can be any cloud server. Specifically, the method includes the following steps:

[0108] B01. The cloud receives the real-time data sent by each sensor terminal in the coal mine production system within any calculation period, and receives the input parameters transmitted by the user with the help of smart devices.

[0109] For example, the real-time data in each calculation time period in this embodiment includes the following kinds of data: the real-time output of various coal products sent by means of the Internet of Things sensor devices installed in various positions of the coal washing plant , The inventory quantity of each coal product in the coal bunker, the coal quality test results of each coal product in the detec...

Embodiment 3

[0126] The embodiment of the present invention is realized in this way, step 1 data acquisition: collect the real-time output of each coal type product after the processing of the on-site washing plant through the Internet of Things box, and the real-time inventory of each coal type product in the coal bunker, and pass the data through the router gateway Transfer to the cloud for storage and data cleaning; collect the real-time coal quality test results of various coal products on site, the real-time sales guidance price of sales products (after coal blending is completed), coal quality requirements and sales demand through the mobile terminal, and the data is written into records Stored in the cloud; step 2 model results: the model inputs the output of production products, the sales volume of sales products, the calorific value of sales products, the price of sales products, the ratio of sales products, and the calorific value of production products. Ratio is used as a constra...

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 discloses a multi-objective optimization method for washing and selecting coal, and the method comprises the steps: optimization data in a preset time period in a coal mine production system is displayed in a display interface of a client, and the optimization data comprises a target value, real-time data corresponding to the target value, and an input parameter, wherein the real-time data is data acquired by the cloud in each calculation time period in the coal mine production system, the input parameters are parameters which are acquired by the cloud and input by a user by means of intelligent equipment, and the target value is data which is acquired by the cloud according to the real-time data and the input parameters through a target optimization logic operation relationin the coal washing process and comprises a first type target optimal value and / or a second type target optimal value in a preset time period; and the client receives the adjustment parameters input by the user and sends the adjustment parameters to the cloud, and obtains a corresponding target value and sends the target value to the client for display. The method is used for overcoming the defectthat in the prior art, a product formed by a coal mine washing process cannot achieve the maximum optimization target.

Description

technical field [0001] The present invention relates to special application scenarios and data processing technology in coal mines, in particular to a multi-objective optimization method for washing and blending coal. Background technique [0002] The washing plant of the coal mine (the entity responsible for the washing process) determines the number of process production lines to be opened according to the amount of raw coal transported from the underground conveyor belt to the washing plant and the site conditions. The washing plant is responsible for screening out the coal that does not enter the washing process Lump coal or fine coal products and fine coal products entering the washing process. [0003] According to the sales demand (including sales volume and coal quality), the sales personnel of the coal mine blend various lump coal products and fine coal products in a certain proportion. This coal blending work is carried out in the on-site workshop. After being sol...

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): G06F30/20G06F111/06G06Q50/02
CPCG06Q50/02
Inventor 邓云芳王文静
Owner 北京黑色智慧科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products