关键词: 资源节约与高效利用, 评价体系, 炼化企业, 数据融合, 数智化

Abstract: Addressing the lack of plant-wide, multi-dimensional evaluation tools for resource utilization in petrochemical enterprises, this study constructs an evaluation system for resource conservation and efficient utilization capability covering six domains—raw materials, energy, water resources, waste, greenhouse gases, and data resources—with data resources innovatively included as an evaluation dimension. Based on a data-driven and expert-based integration approach, the system employs the analytic hierarchy process to determine indicator weights; establishes a “screening–review–disposal” quality control procedure combining box-plot analysis and expert judgment, together with a dual-track scoring strategy based on kernel density quantile intervals and piecewise linear conversion; and proposes a peer-level weight normalization compensation mechanism to accommodate missing indicators arising from differences in business structure among enterprises. The system was applied to score the resource utilization capability of 32 petrochemical enterprises over 2020—2023. Results show that the average score increased from 45.12 points in 2020 to 54.37 points in 2023, with narrowing inter-enterprise score dispersion. Further analysis of Enterprise A identifies strengths in energy saving, storage and transportation loss control, and wastewater reuse, and weaknesses in seal-point leakage control and hazardous waste utilization. The established evaluation system can guide resource conservation and utilization management in petrochemical enterprises and provide quantitative support for green low-carbon transition and digital-intelligent development.

Key words: resource conservation and efficient utilization, evaluation system, petrochemical enterprises, data integration, digital-intelligent development