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Beijing Mining Water Intelligent Optimization and Allocation Dataset (2019)
  • 2022/05/31 01:39
  • 2586
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English name
Beijing Mining Water Intelligent Optimization and Allocation Dataset (2019)
CSTR
CSTR:11738.11.ncdc.UTCMW.db2138.2022
DOI
10.12072/ncdc.UTCMW.db2138.2022
Share type
Online
Category
Others
source site
Technology and Demonstration of High Efficiency Utilization of Mine Water in Large Coal Mine and Nonferrous Mine
contributors
Hou Pin , Zhang Zihang
Datasets description

    Based on the current situation of mine water supply and usage, combined with improved mine water treatment technology, this data uses Python software to design and establish an intelligent allocation software based on the mine water reuse rate and the operating efficiency of the mine water reuse system. The model analysis of the Beijing mine water reuse allocation amount is obtained. The main functions include online monitoring of mine water quality and quantity, matching analysis of water quality and quantity, intelligent optimization and allocation, ultimately improving the reuse rate of mine water and the operational efficiency of mine water treatment systems. The precision of the optimized allocation result is set to 0.01m ³.

Base information
collect time 2019/01/01  -  2019/12/31
collect place Beijing
data size 84.7 KiB
data format Excel
Coordinate system
Data thumbnail
Data source description

    The data resources are simulated and obtained by the independently developed mine water intelligent allocation system software.

Data processing method

    Using Python software, we independently developed a mine water optimization and scheduling system based on improved particle swarm optimization algorithm. We optimized and simulated the water allocation during heating and non heating seasons, with an output accuracy of 0.01 cubic meters.

Data quality description

    The data quality is good.

Project information
# number name type
1 2018YFC0406400 National key R & D plan
Citations and annotations
In order to protect the rights and interests of the platform's scientific and technological resources, expand the services of the platform center, and enhance the application potential of scientific and technological resources, resource users are requested to mark and quote the research results (including published papers, treatises, data products, unpublished research reports, data products, etc.) generated by the use of resources in the following manner.
Usage statement: "Beijing Intelligent Optimization and Allocation Dataset for Mine Water (2019)" is sourced from the National Key Research and Development Program "Collaborative Intelligent Allocation Technology for Underground Surface of Mine Water Wells" (Project No. 2018YFC0406404-5).

For the achievements published in English, please refer to the following specifications： The dataset is provided by National Cryosphere Desert Data Center. (http://www.ncdc.ac.cn).

Data reference
  1. Hou Pin, Zhang Zihang. Beijing Mining Water Intelligent Optimization and Allocation Dataset (2019). National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2022. https://cstr.cn/CSTR:11738.11.ncdc.UTCMW.db2138.2022.
  2. Hou Pin, Zhang Zihang. Beijing Mining Water Intelligent Optimization and Allocation Dataset (2019). National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2022. https://www.doi.org/10.12072/ncdc.UTCMW.db2138.2022.
license agreement
Creative Commons License   This work is licensed under a Creative Commons Attribution 4.0 International License.
# title file size
1 _ncdc_meta_.json 4.0 KiB
2 北京市矿井水智能优化调配数据集（2019年）.zip 84.7 KiB
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How to get the data 
east 115.70
west 117.40
south  39.37
north  41.60
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Service information
contacts:
Min Yufang
phone:
0931-4967596
mailbox:
ncdc@lzb.ac.cn
Contact information
contributors:
Hou Pin , Zhang Zihang
author:
Hou Pin
manager:
Min Yu Fang

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