CN105335798A - 一种基于运行班组特性分析的污染物排放量预测方法 - Google Patents
一种基于运行班组特性分析的污染物排放量预测方法 Download PDFInfo
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- CN105335798A CN105335798A CN201510738185.0A CN201510738185A CN105335798A CN 105335798 A CN105335798 A CN 105335798A CN 201510738185 A CN201510738185 A CN 201510738185A CN 105335798 A CN105335798 A CN 105335798A
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107341281A (zh) * | 2016-12-08 | 2017-11-10 | 江苏方天电力技术有限公司 | 一种基于大数据技术的燃煤机组烟尘浓度分析方法 |
CN108564110A (zh) * | 2018-03-26 | 2018-09-21 | 上海电力学院 | 一种基于聚类算法的空气质量预测方法 |
CN112945567A (zh) * | 2019-12-11 | 2021-06-11 | 北京福田康明斯发动机有限公司 | 一种低温柴油机车载法排放的预测方法及系统 |
CN114527235A (zh) * | 2020-11-23 | 2022-05-24 | 清华大学 | 一种排放强度实时量化检测的方法 |
-
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- 2015-11-03 CN CN201510738185.0A patent/CN105335798A/zh active Pending
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107341281A (zh) * | 2016-12-08 | 2017-11-10 | 江苏方天电力技术有限公司 | 一种基于大数据技术的燃煤机组烟尘浓度分析方法 |
CN107341281B (zh) * | 2016-12-08 | 2021-03-30 | 江苏方天电力技术有限公司 | 一种基于大数据技术的燃煤机组烟尘浓度分析方法 |
CN108564110A (zh) * | 2018-03-26 | 2018-09-21 | 上海电力学院 | 一种基于聚类算法的空气质量预测方法 |
CN108564110B (zh) * | 2018-03-26 | 2021-07-20 | 上海电力学院 | 一种基于聚类算法的空气质量预测方法 |
CN112945567A (zh) * | 2019-12-11 | 2021-06-11 | 北京福田康明斯发动机有限公司 | 一种低温柴油机车载法排放的预测方法及系统 |
CN112945567B (zh) * | 2019-12-11 | 2024-03-19 | 北京福田康明斯发动机有限公司 | 一种低温柴油机车载法排放的预测方法及系统 |
CN114527235A (zh) * | 2020-11-23 | 2022-05-24 | 清华大学 | 一种排放强度实时量化检测的方法 |
CN114527235B (zh) * | 2020-11-23 | 2022-10-21 | 清华大学 | 一种排放强度实时量化检测的方法 |
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Effective date of registration: 20180408 Address after: 210024 Yunnan Road, Drum Tower District, Nanjing, Jiangsu Province, No. 62 Applicant after: Jiangsu Electric Power Trading Center Co., Ltd. Applicant after: Jiangsu Fangtian Power Technology Co., Ltd. Applicant after: State Grid Jiangsu Electric Power Co., Ltd. Applicant after: State Grid Corporation of China Address before: 211102 Su mansion, No. 58 Su Fang Avenue, Jiangning District, Jiangsu, Nanjing Applicant before: State Grid Corporation of China Applicant before: Jiangsu Electric Power Company Applicant before: Jiangsu Fangtian Power Technology Co., Ltd. |
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