Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/96814
| Title: | Quality control method and device for geographic national condition monitoring data and terminal equipment | Other Title: | 地理国情监测数据的质量控制方法、装置和终端设备 | Authors: | Shi, W Zhang, X |
Issue Date: | 17-Mar-2020 | Source: | 中国专利 ZL 201811343761.1 | Abstract: | The invention is applicable to the technical field of surveying and mapping geographic information, and provides a quality control method and device for geographic national condition monitoring data and terminal equipment, and the method comprises the steps: obtaining an uncertain event of the geographic national condition monitoring data in a production process and a logic relation between uncertain events; Constructing a Bayesian network-based geographic national condition monitoring data production process error propagation model; Performing fuzzification processing on the error rate of each basic event in the geographic national condition monitoring data production process error propagation model to obtain a fuzzy probability; Based on the fuzzy probability and the conditional probability between the uncertain events, calculating an error rate of the geographic national condition monitoring data; Based on the fuzzy probability and the error rate, calculating fuzzy importance and posterior probability of each basic event; And feeding back the fuzzy importance and the posterior probability of the basic event to the user. The technical problem that a quantitative quality control method is lacked in the prior art is solved. 本发明适用于测绘地理信息技术领域,提供了一种地理国情监测数据的质量控制方法、装置和终端设备,其中,所述方法包括:获取地理国情监测数据在生产过程中的不确定性事件,以及不确定事件之间的逻辑关系;构造基于贝叶斯网络的地理国情监测数据生产过程误差传播模型;对所述地理国情监测数据生产过程误差传播模型中每个基本事件的错误率进行模糊化处理,得到模糊概率;基于所述模糊概率和不确定事件之间的条件概率,计算地理国情监测数据的错误率;基于所述模糊概率和所述错误率,计算每个所述基本事件的模糊重要度和后验概率;反馈所述基本事件的模糊重要度和后验概率给用户。本发明解决了现有技术中缺乏定量化的质量控制方法的技术问题。 |
Publisher: | 中华人民共和国国家知识产权局 | Rights: | Assignee: 香港理工大学深圳研究院 |
| Appears in Collections: | Patent |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ZL201811343761.1.PDF | 1.18 MB | Adobe PDF | View/Open |
Page views
69
Last Week
7
7
Last month
Citations as of Nov 30, 2025
Downloads
44
Citations as of Nov 30, 2025
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


