Framework for software development of laboratory equipment and setups integrated into large scale DAQ systems (LabBot)

Chernakov, Alexandr; Zhiltsov, Nikita; Senitchenkov, V.A.; Babinov, N.A.; Баженов, А.Н.; Bukreev, I.M.; Chernakov, P.V.; Chernakov, Anton P.; Chironova, Anastasia; Dmitriev, A. M.; Elets, D.I.; Ermakov, Nikita; Khodunov, I.; Koval, A.; Курскиев, Г. С.; Litvinov, A.E.; Mitrofanova, Alina; Mokeev, A.N.; Mukhin, E. E.; Razdobarin, A. G.; Samsonov, Dmitry; Snigirev, Leonid; Solovei, V.A.; Tereschenko, Ivan; Tolstyakov, S.Yu.; Varshavchik, L.A.; Zatylkin, Paul

doi:10.1016/j.fusengdes.2020.111588

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…The current development trend of software platforms is the design of general software platforms, with the development of computer technology and electronic technology, software platforms are increasingly being used in various fields of engineering practice. For example, some scholars have designed the software platform of the bridge safety optical fiber sensing technology detection system [19]. Some scholars apply the software platform to relay protection devices, etc [20].…”

Section: Literature Reviewmentioning

confidence: 99%

Software Development Data Analysis and Processing under the Internet of Things Monitoring System

Zhang

Tang³

2022

Journal of Control Science and Engineering

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In order to solve the problem of highly extensible vibration test data acquisition and analysis, the author proposes a method for software development data analysis and processing under the Internet of Things monitoring system. The software platform is mainly designed through the design of software architecture based on multitask operation, active window design, reserved API interface and hardware universal design; it ensures the strong expansibility of the software platform, so as to realize the universality of the software platform. High-level vibration data analysis software designed based on this platform, such as modal parameter identification and dynamic load identification software, can be easily redeveloped by using the existing functions and software architecture of the platform, expand software functions, realize more complex vibration data analysis and processing, reduce repetitive labor, and speed up the software development process. The results showed that: the amplitude error is less than 4%. Conclusions. The feasibility and availability of software development data under the IoT monitoring system are verified.

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Section: Literature Reviewmentioning

confidence: 99%

Software Development Data Analysis and Processing under the Internet of Things Monitoring System

Zhang

Tang³

2022

Journal of Control Science and Engineering

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An early warning method of abnormal state of laboratory equipment based on Internet of things and running big data

Zheng

2023

WEB

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In order to improve the early warning effect of equipment abnormal state and shorten the early warning time, this paper designs an early warning method of laboratory equipment abnormal state based on the Internet of things and running big data. Collect the running status data of laboratory equipment in the environment of Internet of things, and implement dimension reduction processing on the collected running status data. After the dimensionality reduction, extract the abnormal characteristics of big data of laboratory equipment running. On the basis of iterative update, the real-time feature analysis results are compared with the abnormal feature set, and the early warning response program is started according to the abnormal. According to the experimental results, the maximum false alarm rate of this method is only 1.34%, and the abnormal state response is always kept below 4.0 s when applied, which fully proves that this method effectively realizes the design expectation.

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Framework for software development of laboratory equipment and setups integrated into large scale DAQ systems (LabBot)

Cited by 2 publications

References 6 publications

Software Development Data Analysis and Processing under the Internet of Things Monitoring System

Software Development Data Analysis and Processing under the Internet of Things Monitoring System

An early warning method of abnormal state of laboratory equipment based on Internet of things and running big data

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