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.
| collect time | 2019/01/01 - 2019/12/31 |
|---|---|
| collect place | Beijing |
| data size | 84.7 KiB |
| data format | Excel |
| Coordinate system |
The data resources are simulated and obtained by the independently developed mine water intelligent allocation system software.
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.
The data quality is good.
| # | number | name | type |
| 1 | 2018YFC0406400 | National key R & D plan |
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 |
Mine water treatment intelligent optimal allocation mine water reuse
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