橡胶行业排污许可数字链组数据
收藏山东省数据知识产权存证登记平台2024-09-30 更新2024-10-15 收录
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资源简介:
橡胶行业排污许可数字链组数据,是依据排污许可证技术规范橡胶行业进行的模拟填报文件,分别为橡胶行业的正确模拟填报和错误模拟填报数据集合。内容主要包括基本情况、生产单元、生产线的生产设施名称、工艺名称、产污环节名称、许可排放限值等文书。该数据集通过清洗和标注后,用于智能算法模型的训练,能迅速识别出用户填报的错误环节,对正确版本需识别为0错误方可认为达到识别目标。工作效率比人工提高了1000%~1500%。也可以作为标准的填报范本作为国家规范的补充文稿。该数据集用于《排污许可信息化智能管理系统》、《企业环境数字化综合管理系统》,极大的提高了生态环境局对于排污许可证发证工作的效率和质量,也提高了企业的排污许可证执行质量和填报工作效率。
The Digital Chain Group Dataset for Sewage Discharge Permits in the Rubber Industry is a collection of simulated filling documents formulated in accordance with the technical specifications for sewage discharge permits applicable to the rubber industry. It comprises two datasets: correctly simulated filling records and incorrectly simulated filling records for the rubber sector. The dataset covers various contents including basic information, production units, names of production facilities on production lines, process names, names of pollution generation links, permitted emission limits and other relevant documents. After data cleaning and annotation, it is utilized for training intelligent algorithm models, which can rapidly identify incorrect links in users' filling submissions. For the correct version, the model must output 0 errors to achieve the recognition target. Compared with manual work, it boosts work efficiency by 1000% to 1500%. Additionally, it can serve as a standard filling template as a supplementary document to national regulations. This dataset is applied in the "Intelligent Informatized Management System for Sewage Discharge Permits" and the "Comprehensive Enterprise Environmental Digital Management System", greatly enhancing the efficiency and quality of sewage discharge permit issuance work for the Ecological Environment Bureau, as well as improving the execution quality and filling efficiency of sewage discharge permits for enterprises.
提供机构:
应辉环境科技服务(烟台)有限公司
搜集汇总
数据集介绍

特点
橡胶行业排污许可数字链组数据是一个用于智能算法训练的数据集,包含正确和错误的模拟填报数据,旨在提高排污许可证的审核和执行效率。数据集涵盖了橡胶行业的基本情况、生产设施、工艺、产污环节等信息,适用于许可证合规性审核、执行报告审核、企业环境保护税核定等多种应用场景。
以上内容由遇见数据集搜集并总结生成



