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Shared AI scientific instrument data analyzing and processing system and method

A technology of data analysis and processing and scientific instruments, which is applied in multidisciplinary fields, can solve problems such as high analysis threshold, inconvenient promotion of scientific research results, rapid transformation of results, and high difficulty. It achieves high degree of visualization, friendly operation interface, and low threshold. Effect

Pending Publication Date: 2019-09-10
CHEMMIND TECH (BEIJING) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the above-mentioned technical problems in the related art, the present invention proposes a shared AI scientific instrument data analysis and processing system and method, which can solve the problem that the existing scientific instrument data AI analysis threshold is too high, it is difficult, and at the same time due to data representativeness The limitations of objective conditions, such as the limitations of the relevant scientific research results, are not easy to promote and quickly transform the results.

Method used

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  • Shared AI scientific instrument data analyzing and processing system and method
  • Shared AI scientific instrument data analyzing and processing system and method
  • Shared AI scientific instrument data analyzing and processing system and method

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Embodiment Construction

[0043] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. All other embodiments obtained by persons of ordinary skill in the art based on the embodiments of the present invention belong to the protection scope of the present invention.

[0044] Such as figure 1 As shown, a shared AI scientific instrument data analysis and processing system according to an embodiment of the present invention includes four subsystems: a data analysis subsystem, a model upload sharing subsystem, a model management subsystem, and a model analysis subsystem.

[0045] Such as figure 2 As shown, in this preferred embodiment, the data analysis subsystem is a large-scale data analysis and complex system quality control system across analytical instr...

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Abstract

The invention relates to a shared AI scientific instrument data analysis and processing system and method. The system comprises a data analysis subsystem, a model uploading and sharing subsystem, a model management subsystem and a model analysis subsystem. The data analysis subsystem is used for cross-analysis instrument platform big custom analysis and complex system quality control, the model uploading and sharing subsystem is used for uploading the model established by the data analysis subsystem and the data to the cloud server, the model management subsystem is used for managing and processing the uploaded model and data, and the model analysis subsystem is used for calling the uploading model to analyze the data detected by the scientific instrument. The system and the method can solve the problems that an existing scientific instrument data AI analysis threshold is too high, the difficulty is larger, meanwhile due to limitation of data representativeness and other objective conditions, the related scientific research results are inconvenient to popularize and convert into the results rapidly.

Description

technical field [0001] The invention belongs to the interdisciplinary fields of analytical chemistry, biology, statistical computing, computer science, etc., and specifically relates to a shared AI scientific instrument data analysis and processing system and method. Background technique [0002] At present, the development of scientific analytical instruments has brought new research directions to scientific research fields such as chemistry and biology, and there have also been scientific research literature reports on the application of AI intelligent algorithms in this field. However, since most AI intelligent algorithms are based on learning algorithms in the context of big data, there are strict requirements on the quality and representativeness of scientific sample data. However, the data in the scientific research process often has disadvantages such as limited data volume and insufficient representation, which hinders the transformation of scientific research result...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/18G06F21/62G06F21/64G06K9/62
CPCG06F17/18G06F21/6218G06F21/64G06F2221/2141G06F18/21
Inventor 田润涛米津锐陈向科李钦
Owner CHEMMIND TECH (BEIJING) CO LTD
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