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App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 1

Rapid quality inspection method for industrial control streaming data based on key data trend analysis

Zhang Kejia
Liao Yan
Zhang Yan
College of Computer & Information Technology, Northeast Petroleum University, Daqing Heilongjiang 163318, China
DOI: 10.19734/j.issn.1001-3695.2025.06.0205

Abstract

Industrial control streaming data is a key information carrier reflecting the production process, and its quality inspection is of great significance for guiding production. Against the backdrop of the rapid development of Internet of Things technology, industrial control streaming data exhibits fast growth rate and large increment. However, existing quality inspection methods mostly focus on single-dimension optimization and struggle to balance accuracy and speed. To address this issue, this study draws on the management concept of "cost reduction and efficiency improvement" and proposes a rapid quality inspection method that only conducts trend analysis on key data. First, the method introduces a tolerance mechanism. By quantifying the acceptable range of data fluctuations, the mechanism screens out non-critical data, reduces the amount of data to be processed, and thus improves the processing efficiency of the algorithm. Then, the method dynamically matches trend functions according to the quantity of key data. Meanwhile, it constructs a weighted error mechanism by combining time decay and fluctuation sensitivity to ensure the accuracy of quality inspection. Finally, to verify the effectiveness of the method, the study conducted experiments by simulating real industrial application scenarios. Experimental results show that the proposed method performs well in operation speed, accuracy and stability. It can effectively achieve the coordinated optimization of efficiency and precision in the quality inspection of industrial control streaming data.

Foundation Support

黑龙江省研究生课程思政案例库建设入库案例"软件系统架构与开发"(15141240303)
大庆市指导性科技计划项目(zd-2024-05)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.06.0205
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 1

Publish History

[2025-09-17] Accepted Paper

Cite This Article

张可佳, 廖燕, 张岩. 基于关键数据趋势分析的工控流式数据快速质检方法 [J]. 计算机应用研究, 2026, 43 (1). (2025-09-17). https://doi.org/10.19734/j.issn.1001-3695.2025.06.0205. (Zhang Kejia, Liao Yan, Zhang Yan. Rapid quality inspection method for industrial control streaming data based on key data trend analysis [J]. Application Research of Computers, 2026, 43 (1). (2025-09-17). https://doi.org/10.19734/j.issn.1001-3695.2025.06.0205. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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