Title:
CLOUD PLATFORM-BASED AUTOMATIC IDENTIFICATION SYSTEM AND METHOD FOR SEVEN TYPES OF MASS SPECTROGRAMS OF COMMONLY USED PESTICIDES AND CHEMICAL POLLUTANTS AROUND THE WORLD
Document Type and Number:
WIPO Patent Application WO/2020/191857
Kind Code:
A1
Abstract:
Disclosed by the present invention is a cloud platform-based automatic identification system and method for seven types of mass spectrograms of commonly used pesticides and chemical pollutants around the world, comprising a cloud server platform end and a user platform end. The cloud server platform end performs mass spectrogram type classification model establishment, spectrogram data feature extraction and convolutional neural network training modeling. The user platform end is used to upload a mass spectrogram, experiment conditions and device data, directly screen and compare according to a mass spectrogram type classification model or a mass spectrogram information library so as to identify the category of the mass spectrogram, automatically compare and identify the type and name of a pesticide on the basis of a neural network model trained by the cloud server platform end, and feed back the comparison result to a user. The present invention solves the restriction of users purchasing standard products, and use is not restricted by location. Moreover, pesticide residue may be automatically, quickly and accurately identified.
Inventors:
PANG GUOFANG (CN)
CHANG QIAOYING (CN)
FAN CHUNLIN (CN)
CHEN HUI (CN)
WU XINGQIANG (CN)
BAI RUOBIN (CN)
ZHANG ZIJUAN (CN)
CHANG QIAOYING (CN)
FAN CHUNLIN (CN)
CHEN HUI (CN)
WU XINGQIANG (CN)
BAI RUOBIN (CN)
ZHANG ZIJUAN (CN)
Application Number:
PCT/CN2019/085612
Publication Date:
October 01, 2020
Filing Date:
May 06, 2019
Export Citation:
Assignee:
CHINESE ACAD INSPECTION & QUARANTINE (CN)
BEIJING UNI STAR INSPECTION TECH CO LTD (CN)
BEIJING UNI STAR INSPECTION TECH CO LTD (CN)
International Classes:
G06K9/62
Foreign References:
| CN101855700A | 2010-10-06 | |||
| CN108414610A | 2018-08-17 | |||
| JP2018141750A | 2018-09-13 |
Other References:
PANG GUOFANG, CHEN YI , FAN CHUNLIN, BAI RUOBIN, SUN YUEHONG, CHANG QIAOYING: "Tri-element Integrated Technology of High Resolution MS, Internet, and Digital Science Constitutes Technical Platform for Pesticide Residues", BULLETIN OF CHINESE ACADEMY OF SCIENCES, vol. 32, no. 12, 31 December 2017 (2017-12-31), pages 11384 - 1396, XP055854241, ISSN: 1000-3045, DOI: 10.16418/j.issn.1000-3045.2017.12.013
PANG GUOFANG, CHEN YI , FAN CHUNLIN, BAI RUOBIN, SUN YUEHONG, CHANG QIAOYING: "Tri-element Integrated Technology of High Resolution MS, Internet, and Digital Science Constitutes Technical Platform for Pesticide Residues", BULLETIN OF CHINESE ACADEMY OF SCIENCES, vol. 32, no. 12, 31 December 2017 (2017-12-31), pages 1384 - 1396, XP055854241, ISSN: 1000-3045, DOI: 10.16418/j.issn.1000-3045.2017.12.013
See also references of EP 3951653A4
PANG GUOFANG, CHEN YI , FAN CHUNLIN, BAI RUOBIN, SUN YUEHONG, CHANG QIAOYING: "Tri-element Integrated Technology of High Resolution MS, Internet, and Digital Science Constitutes Technical Platform for Pesticide Residues", BULLETIN OF CHINESE ACADEMY OF SCIENCES, vol. 32, no. 12, 31 December 2017 (2017-12-31), pages 1384 - 1396, XP055854241, ISSN: 1000-3045, DOI: 10.16418/j.issn.1000-3045.2017.12.013
See also references of EP 3951653A4
Attorney, Agent or Firm:
JW IP LAW FIRM (CN)
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