危化生产行业风险评估数据集

在数据采集阶段，使用现场工程地址数据、3D地图数据、水文数据资料、气象数据资料，勘测工具如测距仪、测厚仪、便携式有毒有害/可燃气体检测报警仪等工具进行数据收集。在数据处理阶段，把采集的厂区环境、物料储存运输数据、生产工艺参数和生产装置等数据作为分析输入，并根据危险度评价法、事故后果模拟计算法、道化学等评价方法生成风险等级、风险概率、风险分布、风险隐患、风险防范措施等结论性数据。数据本身涉及部分企业数据，已通过泛化、抑制、掩码等技术进行数据脱敏、匿名化、去标识化，在保障数据可用性的同时避免敏感信息泄露。During the data collection phase, data was collected using on-site engineering address data, 3D map data, hydrological data, meteorological data, and survey tools including rangefinders, thickness gauges, portable toxic/hazardous and combustible gas detection and alarm instruments, etc. During the data processing phase, collected data such as plant environment information, material storage and transportation data, production process parameters, and production equipment data were used as analytical inputs. Conclusive data including risk levels, risk probabilities, risk distributions, risk hazards, and risk prevention measures were then generated via evaluation methods such as the Risk Degree Evaluation Method, Accident Consequence Simulation Calculation Method, and Dow Chemical Method. The dataset contains partial enterprise-related data, which has undergone data desensitization, anonymization, and de-identification through technologies such as generalization, suppression, and masking to prevent sensitive information disclosure while ensuring data availability.

搜集汇总

背景与挑战

背景概述

该数据集是一个专注于危险化学品生产行业风险评估的静态数据集，规模为11.18GB，由企业自行产生。它整合了厂区布局、危险源信息、事故模拟等数据，通过危险度评价法等算法生成风险等级和防范措施，支持政府精准监管和保险差异化定价，且数据经过脱敏处理以确保安全性。