本数据在矿井水供水及用水现状的基础上，结合改进型矿井水处理工艺，利用python软件设计、建立以矿井水回用率和矿井水回用系统运行效率的智能调配软件，对北京矿井水回用调配量进行模型分析得出。功能主要包括矿井水的水质水量在线监测，水质水量匹配分析，智能优化调配等，最终提高矿井水回用率和矿井水处理系统的运行效率。优化调配结果精度设置为在0.01m³。", "ds_source": "
数据资源由自主开发的矿井水智能调配系统软件进行模拟取得。", "ds_process_way": "
采用python软件，自主研发基于改进粒子群算法的矿井水优化调度系统，对采暖季和非采暖季的调配水量进行优化模拟，优化结果输出精度为0.01立方米。", "ds_quality": "
数据质量良好。", "ds_acq_start_time": "2019-01-01 00:00:00", "ds_acq_end_time": "2019-12-31 00:00:00", "ds_acq_place": "北京市", "ds_acq_lon_east": 115.7, "ds_acq_lat_south": 39.36666666666667, "ds_acq_lon_west": 117.4, "ds_acq_lat_north": 41.6, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 86746, "ds_files_count": 2, "ds_format": "excel", "ds_space_res": null, "ds_time_res": "月", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "c8654bc4-bbc9-407e-a402-f2936701597f.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "使用申明：“北京市矿井水智能优化调配数据集（2019年）”来源于国家重点研发计划《矿井水井下-地面协同智能调配技术》（项目编号：2018YFC0406404-5）。", "ds_from_station": null, "organization_id": "4f9aad20-0a6f-4efd-9b8b-70cd10164ea3", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "10.12072/ncdc.UTCMW.db2138.2022", "subject_codes": [ "170.50" ], "quality_level": 3, "publish_time": "2022-05-30 17:39:37", "last_updated": "2025-06-30 16:28:36", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.UTCMW.db2138.2022", "i18n": { "en": { "title": "Beijing Mining Water Intelligent Optimization and Allocation Dataset (2019)", "ds_format": "Excel", "ds_source": "
The data resources are simulated and obtained by the independently developed mine water intelligent allocation system software.", "ds_quality": "
The data quality is good.", "ds_ref_way": "", "ds_abstract": "
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.
", "ds_time_res": "月", "ds_acq_place": "Beijing", "ds_space_res": "", "ds_projection": "", "ds_process_way": "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.", "ds_ref_instruction": "\r\nUsage 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)." } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "ds_topic_tags": [ "矿井水处理", "智能优化调配", "矿井水回用" ], "ds_subject_tags": [ "地质学" ], "ds_class_tags": [], "ds_locus_tags": [ "北京市" ], "ds_time_tags": [ 2019 ], "ds_contributors": [ { "true_name": "侯嫔", "email": "phou.beijing@cumtb.edu.cn", "work_for": "中国矿业大学（北京）", "country": "中国" }, { "true_name": "张子航", "email": "zhangzihang709@163.com", "work_for": "中国矿业大学（北京）", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "侯嫔", "email": "phou.beijing@cumtb.edu.cn", "work_for": "中国矿业大学（北京）", "country": "中国" } ], "ds_managers": [ { "true_name": "敏玉芳", "email": "myf@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "category": "其他" }