为实现对煤-水协调开发综合效应的实时调控与动态监测，因此对研究区内处于不同开发阶段的煤矿调查分析，结合规范标准、研究成果对煤矿煤-水协调开发的相关描述，提取相关影响指标，考虑指标间相互影响关系及作用程度，利用图论绘制煤矿不同开发阶段影响指标层次分析网络结构图，并采用网络分析中心性理论以度中心性、介数中心性、接近中心性作为计算参数来确定各影响指标权重分布，从而科学判定不同方面影响因素对煤-水协调开采综合效益的重要性。
\n本数据集是利用Neo4j数据库，通过对影响指标度中心性、介数中心性、接近中心性的计算，可以得出不同开发阶段下不同影响因子的权重分布。数据共包含煤矿开发3个不同阶段的影响因子权重分布情况。", "ds_source": "
模拟计算。", "ds_process_way": "
采用Neo4j数据库，基于图论与网络分析中心性理论建立描述煤矿不同开发阶段下不同影响因子间相互作用关系的层次分析网络结构图，从而以度中心性、介数中心性、接近中心性计算指标权重分布，进一步实现对煤水协调开发综合效益的实时监测与动态跟踪。", "ds_quality": "
数据质量良好。", "ds_acq_start_time": "2021-01-01 00:00:00", "ds_acq_end_time": "2021-12-31 00:00:00", "ds_acq_place": "北京市", "ds_acq_lon_east": 115.7, "ds_acq_lat_south": 38.36666666666667, "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": 80824, "ds_files_count": 2, "ds_format": "excel", "ds_space_res": null, "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "510ee6ed-57bf-456b-8d4e-1578659de75d.jpg", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "使用申明：“煤水协调开发影响因子及权重分布数据集（2021年）”来源于国家重点研发计划《煤水协调开发的综合效应评价与调控》（项目编号：2018YFC0406404-3）。", "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.db2173.2022", "subject_codes": [ "170.50" ], "quality_level": 3, "publish_time": "2022-05-31 08:54:28", "last_updated": "2025-06-30 16:28:36", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.UTCMW.db2173.2022", "i18n": { "en": { "title": "Dataset of Impact Factors and Weight Distribution for Coal Water Coordinated Development (2021)", "ds_format": "Excel", "ds_source": "
Simulation calculation.", "ds_quality": "
The data quality is good.", "ds_ref_way": "", "ds_abstract": "
In order to achieve real-time regulation and dynamic monitoring of the comprehensive effect of coal water coordinated development, a survey and analysis of coal mines at different development stages in the research area were conducted. Relevant impact indicators were extracted based on the relevant descriptions of coal water coordinated development in the study area, combined with normative standards and research results. Considering the mutual influence relationship and degree of action between indicators, a hierarchical analysis network structure diagram of impact indicators at different development stages of coal mines was drawn using graph theory. The centrality theory of network analysis was adopted to determine the weight distribution of each impact indicator using degree centrality, betweenness centrality, and proximity centrality as calculation parameters, in order to scientifically determine the importance of different influencing factors on the comprehensive benefits of coal water coordinated mining.
\nThis dataset utilizes the Neo4j database to calculate the weight distribution of different impact factors at different development stages through the calculation of degree centrality, betweenness centrality, and proximity centrality of impact indicators. The data includes the weight distribution of influencing factors for three different stages of coal mine development.
", "ds_time_res": "", "ds_acq_place": "Beijing", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Using Neo4j database, a hierarchical analysis network structure is established based on graph theory and network analysis centrality theory to describe the interaction relationship between different influencing factors in different stages of coal mine development. The weight distribution of indicators is calculated based on degree centrality, betweenness centrality, and proximity centrality, further achieving real-time monitoring and dynamic tracking of the comprehensive benefits of coal water coordinated development.", "ds_ref_instruction": "\r\nUsage statement: \"Dataset of Impact Factors and Weight Distribution of Coal Water Coordinated Development (2021)\" is sourced from the National Key Research and Development Program \"Comprehensive Effect Evaluation and Regulation of Coal Water Coordinated Development\" (Project No. 2018YFC0406404-3)." } }, "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, "is_paper_in_submitting": false, "ds_topic_tags": [ "煤水协调", "权重分布", "Neo4j数据库" ], "ds_subject_tags": [ "地质学" ], "ds_class_tags": [], "ds_locus_tags": [ "北京市" ], "ds_time_tags": [ 2021 ], "ds_contributors": [ { "true_name": "刘晓民", "email": "13204717007@163.com", "work_for": "内蒙古农业大学", "country": "中国" }, { "true_name": "王震宇", "email": "1044779158@qq.com", "work_for": "内蒙古农业大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "刘晓民", "email": "13204717007@163.com", "work_for": "内蒙古农业大学", "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" }