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New identification method of linear pointer instrument

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Abstract

In industry, the main way to get data of pointer meter in industrial production is recorded by individual, and the data is analysed and processed manually. The method has the disadvantages of low efficiency and being influenced by the external environment, which leads to the low accuracy and large error of the data got from the pointer instrument. To solve these problems, we come up with a new way based on computer vision technology of pointer detection and indicator recognition. The flow of the way is as follows. In the first place, the original meter image is processed. In the next place, feature of instrument pointer is extracted from the pre-processed image by Freeman chain code coding rules, and the identification of pointer indicator number is completed by the angle method. Finally, in order to resolve the problem on inclined picture due to the limitation of some external conditions in the process of image acquisition, the slant image should be second correction. Through comparative analysis and the verification of relevant parameters, the proposed algorithm is proved to be accurate, universal and efficient.

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Acknowledgements

This work was supported in part by the National Natural Science Foundation of China under Grants U21A2019, 61873058, 61933007 and the basic scientific research business expenses of Heilongjiang Provincial undergraduate Colleges and Universities, special scientific research project of shale oil NO. YYYZX202105.

Funding

All authors certify that they have no affiliations with or involvement in any organization or entity with any financial interest or non-financial interest in the subject matter or materials discussed in this manuscript. The authors have no financial or proprietary interests in any material discussed in this article.

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Authors and Affiliations

  1. Department of Electrical Information Engineering, Northeast Petroleum University, Daqing, 163318, Heilongjiang, People’s Republic of China

    Fengcai Huo, Ang Li & Weijian Ren

  2. Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control, Daqing, 163318, Heilongjiang, People’s Republic of China

    Fengcai Huo & Weijian Ren

  3. Bohai-rim Energy Research Institute of NEPU, Qinhuangdao, 066004, Hebei, People’s Republic of China

    Fengcai Huo

  4. Sanya Offshore Oil & Gas Research Institue, 572000, Sanya, People’s Republic of China

    Fengcai Huo

  5. Zhejiang Supcon technology co. LTD, Hangzhou, China

    Di Wang

  6. Institute of Planning and Design for No.4 oil Production, Daqing OilField Co, Daqing, 163511, Heilongjiang, People’s Republic of China

    Tao Yu

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  1. Fengcai Huo
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  2. Ang Li
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  3. Weijian Ren
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  4. Di Wang
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  5. Tao Yu
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Correspondence to Ang Li.

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Huo, F., Li, A., Ren, W. et al. New identification method of linear pointer instrument. Multimed Tools Appl 82, 4319–4342 (2023). https://doi.org/10.1007/s11042-022-13403-z

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  • DOI: https://doi.org/10.1007/s11042-022-13403-z

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