Large-scale instrument sharing experiment execution credibility discrimination method

Abstract

The invention discloses a method for judging the execution credibility of a shared experiment of a large instrument. The method comprises the following steps: (1) acquiring experiments and related sample data files which can be performed by all current large instruments, and establishing a data sample set; (2) uploading a data recording file obtained by direct connection with the large instrument to a laboratory information management system, and preprocessing the data recording file through an MEC; (3) transmitting the processed data record file to a block chain, and creating a data slice; and (4) a worker obtains the data recording file from the block chain through the secret key, compares the extracted data recording file with the sample data file in the data sample set by using a Simhash algorithm in pattern recognition, and judges the authenticity of experimental data. According to the method, the shared use data condition of the large instrument equipment can be obtained, so that whether the instrument equipment is actually used or not can be better judged. It is directly proved that the predetermined experiment of the shared instrument is real.

Description

technical field [0001] The invention belongs to the field of intelligent supervision and provides a method for judging the credibility of large-scale instrument sharing experiments. It specifically involves the data transmission of the Internet of Things, the data recording method of the alliance chain in the blockchain, and the similarity detection technology based on the Simhash algorithm. Background technique [0002] In order to promote large-scale instruments and equipment in universities and research institutes to better serve teaching and research, personnel training, and social development on the premise of ensuring the needs of teaching and scientific research, it is necessary to summarize and analyze the open sharing of large-scale instruments. Based on the characteristics that large-scale instruments can be shared, experimenters can make an appointment to use large-scale instruments to complete experiments, make better use of instrument resources, and can issue su...

AI Technical Summary

Problems solved by technology

However, it is impossible to accurately judge whether the user uses a large instrument to complete the scheduled experiment content only by current and voltage.

At present, there is still no effective means to directly prove that the scheduled experiment of the shared instrument is real, and there is a lack of direct data to prove the use of the instrument

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