Abstract: The research proposes a multi-scale feature quantitative identification method for power grid enterprise environmental protection capability under B/S architecture, aiming to improve the quantitative identification effect. The data are collected, pre-processed and stored in the data layer, and the data are transmitted to the cloud through the communication network layer, with the support layer providing cloud services and micro-services. In the application layer, the fuzzy clustering algorithm is used to construct a multi-scale feature system, which mainly contains four scales: environmental protection investment capability, environmental protection profitability, environmental protection development capability and environmental protection management capability. The quantitative processing and weight calculation are carried out using the environmental protection capability identification unit, and the quantitative identification of environmental protection capability is finally achieved using the fuzzy comprehensive evaluation model. The experimental results show that this method can effectively manage the data and calculate the feature weights, and realise the accurate quantitative identification of the environmental protection ability of power grid enterprises.

Key words: B/S architecture, power grid enterprises, environmental protection ability, multi-scale characteristics, quantitative recognition, fuzzy comprehensive evaluation

摘要： 研究提出B/S架构下的电网企业环境保护能力多尺度特征量化识别方法，旨在提升量化识别效果。通过数据层采集、预处理并存储相关数据，借助通信网络层实现数据的云端传输，由支撑层提供云服务与微服务支持。在应用层，利用模糊聚类算法构建多尺度特征体系，主要包含环保投资能力、环保盈利能力、环保发展能力与环保管理能力四个尺度。运用环保能力识别单元实现量化处理与权重计算，最终利用模糊综合评价模型实现环境保护能力的量化识别。实验结果表明，该方法可有效管理数据并计算特征权重，实现电网企业环境保护能力的精准量化识别。

关键词: B/S架构, 电网企业, 环境保护能力, 多尺度特征, 量化识别, 模糊综合评价