CN111788578A - 一种环境监测站数据可信度评价方法 - Google Patents

一种环境监测站数据可信度评价方法 Download PDF

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CN111788578A
CN111788578A CN201980006119.0A CN201980006119A CN111788578A CN 111788578 A CN111788578 A CN 111788578A CN 201980006119 A CN201980006119 A CN 201980006119A CN 111788578 A CN111788578 A CN 111788578A
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data
station
monitoring
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CN111788578B (zh
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吕波
王治非
宋江山
刘善文
司书春
许军
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Jinan Ecological Environment Monitoring Center Of Shandong Province
Nova Fitness Co Ltd
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Jinan Ecological Environment Monitoring Center Of Shandong Province
Nova Fitness Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/22Matching criteria, e.g. proximity measures
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Bioinformatics & Cheminformatics (AREA)
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Abstract

一种环境监测站数据可信度评价的方法,一种判断监测站点数据可信度和监测站点校准的方法,属于环境监测领域,通过引入可信度权重因子对监测站点的监测数据的可信度进行评价,使得城市污染检测数据更可靠,也使得监测站点的数据更加准确。

Description

PCT国内申请,说明书已公开。

Claims (1)

  1. PCT国内申请,权利要求书已公开。
CN201980006119.0A 2018-07-25 2019-02-15 一种环境监测站数据可信度评价及校准方法 Active CN111788578B (zh)

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IBPCT/IB2018/055531 2018-07-25
PCT/IB2018/055531 WO2019150182A1 (zh) 2018-02-01 2018-07-25 多核传感器系统及其隔离和恢复的方法
CN201810965453 2018-08-25
CN2018109654536 2018-08-25
PCT/IB2019/051243 WO2020021343A1 (zh) 2018-07-25 2019-02-15 一种环境监测站数据可信度评价方法

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CN201980006136.4A Active CN112513896B (zh) 2018-08-25 2019-02-15 一种大气污染预测的方法
CN201980089866.5A Active CN113632101B (zh) 2018-08-25 2019-08-25 一种通过向量化分析预测大气污染的方法
CN201980089855.7A Active CN113348471B (zh) 2018-08-25 2019-08-25 一种大气污染预测中对区域边界优化的方法
CN201980089816.7A Active CN113330456B (zh) 2018-08-25 2019-08-25 一种利用历史空气质量数据特征预测空气污染的方法

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CN201980089866.5A Active CN113632101B (zh) 2018-08-25 2019-08-25 一种通过向量化分析预测大气污染的方法
CN201980089855.7A Active CN113348471B (zh) 2018-08-25 2019-08-25 一种大气污染预测中对区域边界优化的方法
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CN113514611B (zh) * 2021-06-28 2024-01-12 杭州谱育科技发展有限公司 污染物传输路径的识别方法
CN113536630B (zh) * 2021-07-12 2023-09-29 西南科技大学 污染物无组织排放因子获取方法
CN113393058B (zh) * 2021-07-14 2023-10-20 成都佳华物链云科技有限公司 污染物管控方法、预测管控方法、实时管控方法及装置
CN116187981B (zh) * 2023-04-21 2023-07-25 广东工业大学 一种基于历史维修数据的微波炉智能检测方法

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CN113348471B (zh) 2023-07-18
GB202103044D0 (en) 2021-04-21
CN113348471A (zh) 2021-09-03
WO2020044127A1 (zh) 2020-03-05
CN113330456A (zh) 2021-08-31
WO2020021343A1 (zh) 2020-01-30
CN111788578B (zh) 2023-10-20
CN113632101B (zh) 2024-05-03
CN112513896A (zh) 2021-03-16
CN113632101A (zh) 2021-11-09
CN112513896B (zh) 2023-05-23
GB2591886A (en) 2021-08-11

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