Automatic updating of a combine harvester knowledge-based system by webpages and user-uploaded files

Authors

  • Hongxin Liu 1. College of Mechanical and Electrical Engineering, Suqian University, Suqian 223800, China
  • Yiming Zhang 2. College of Engineering, Northeast Agricultural University, Harbin 150030, China
  • Yongtao Xie 3. College of Electrical and Information, Northeast Agricultural University, Harbin 150030, China http://orcid.org/0000-0002-6156-231X
  • Yu Zhao 3. College of Electrical and Information, Northeast Agricultural University, Harbin 150030, China

DOI:

https://doi.org/10.25165/ijabe.v18i3.9073

Keywords:

knowledge base, automatic updating, web-based, user upload files, data acquisition and processing

Abstract

Currently, knowledge-based systems are generally updated manually, resulting in long cycles, low efficiency, and difficulty in ensuring comprehensive and systematic supplementary content. To address this issue, a knowledge-based system automatic updating method based on webpage information and user files is proposed for combine harvesters. The knowledge storage structure in an electronic warehouse is analyzed, and knowledge and data types are determined. A crawler designed to locate the combine harvester-related information in the target webpage realizes the acquisition and sorting of webpage knowledge and data. The type of file uploaded by the user is set based on the knowledge base and data type; the content of the user file is extracted and filtered, and the knowledge and data of the knowledge-based system are user-defined. The organized knowledge and data are stored or updated in the knowledge base to achieve automatic updating of the knowledge-based system based on webpage information and user files. The test results show that based on user file updates, the knowledge and data of the knowledge-based system can be customized according to user needs. This meets user requirements and allows for effective automatic updates based on webpages after automatic updating of the knowledge base based on webpages. After the automatic updating of the knowledge base based on webpage information is triggered, the knowledge and data from the three webpages that were initially crawled and read are automatically updated to the knowledge base in 5.265 s. Realizing the automatic updating of knowledge and data can shorten the updating period, maintain the effectiveness and practicability of the knowledge-based system, ensure the scientific and advanced nature of the intelligent design process, and provide technical models and methods for the knowledge collection of similar knowledge-based systems. Keywords: knowledge base, automatic updating, web-based, user upload files, data acquisition and processing DOI: 10.25165/j.ijabe.20251803.9073 Citation: Liu H X, Zhang Y M, Xie Y T, Zhao Y. Automatic updating of a combine harvester knowledge-based system by webpages and user-uploaded files. Int J Agric & Biol Eng, 2025; 18(3): 165–175.

References

Liu H X, Li J L, Guo L F, Zhang G F. Knowledge organization and knowledge base system of combine harvester. Transactions of the CSAM, 2021; 52（2）: 381-393. （in Chinese）

Li Q L, Song Y Y, Yao C J, Li W B, Yue Y C. Intelligent design and optimization system for cleaning device of rice and wheat combine harvester. Transactions of the CSAM, 2021; 52（5）: 92-101. （in Chinese）

Liu H X, Liu Z J, Zhang G F, Zhou L L. Interactive design system of threshing device based on skeleton design. Transactions of the CSAM, 2020; 51（12）: 405-416. （in Chinese）

Liu H X, Wang D Y, Guo L F, Liu W W, Zhang G F. Development of advanced design technology and its application in agricultural equipment. Transactions of the CSAM, 2019; 50（7）: 1-18. （in Chinese）

Liu Q, Li Y, Duan H, Liu Y, Qin Z G. Knowledge graph construction techniques. Journal of Computer Research and Development, 2016; 53（3）: 582-600.

Sheng F, An X H, Lin H X, Zeng X Q, Hu N N, Li D, et al. A pre-evaluation method for rail transit safety based on a safety knowledge base. Journal of Tongji University （Natural Science）, 2024; 52（2）: 184-191. （in Chinese）

Khan S, Rashid A, Rasheed R, Amirah N A. Designing a knowledge-based system （KBS） to study consumer purchase intention: the impact of digital influencers in Pakistan. Kybernetes, 2023; 52（5）: 1720-1744.

Li W B, Li Q L, Huang Y L, Song Y Y, Yue Y C. Construction of intelligent design platform for threshing device of combine harvester for rice and wheat. Transactions of the CSAM, 2020; 51（S2）: 154-161. （in Chinese）

Zhang Y A, Xin Z, Du Y F, Shao M X, Sun E X, Zhang F W. Rapid design method and software development for tractor gear box. Transactions of the CSAE, 2020; 36（21）: 49-55. （in Chinese）

Zhu Q, Zhao Y Z, Guo Y X, Ding Y L, Wang Q, Pan Y, et al. Distributed management method of geo-knowledge base for digital twin railway. Journal of Southwest Jiaotong University, 2023. doi: 10.3969/j.issn.0258-2724.20230389 （in Chinese）

Pannu M, Kay I, Harris D. Using dark web crawler to uncover suspicious and malicious websites. In: International Conference on Applied Human Factors and Ergonomics, Florida: Springer International Publishing, 2018; pp.108-115. doi:10.1007/978-3-319-94782-2_11.

Peng D, Li T, Wang Y, Chen C L P. Research on information collection method of shipping job hunting based on web crawler. In: 2018 Eighth International Conference on Information Science and Technology （ICIST）, Cordoba, Granada, and Seville, Spain: IEEE, 2018; pp.57-62. doi: 10.1109/ICIST.2018.8426183.

Wang Y H, Zheng L Y, Fan W. Data collection and fusion of manufacturing workshop based on standard semantic model and complex event processing underl cloud architecture. Computer Integrated Manufacturing Systems, 2019; 25（12）: 3103-3115.

Huazhong University of Science and Technology. CNC system industrial data collection and storage method and system. 2018; CN110858125A. （in Chinese）

Yang J Y. Research on knowledge base network updating mechanism based on markov decisionprocess. Master’s Dissertation. Guangzhou: Jinan University, 2020; 6. 64p. （in Chinese）

Hua L Z. The design and implementation of domain knowledge base management system based on knowledge graph. Master’s Dissertation. Beijing: Beijing University of Posts and Telecommunications, 2018, 3. 61p （in Chinese）

Ganapati S, Ahn M, Chen Y C, Krimmer R, Pereira G V, Pliscoff C, et al. Global intelligent governance- a collaborative platform. In: DG. O2021: The 22nd Annual International Conference on Digital Government Research. 2021; pp.593-595. doi: 10.1145/3463677.3463728.

Roh Y, Heo G, Whang S E. A survey on data collection for machine learning: a big data- AI integration perspective. IEEE Transactions on Knowledge and Data Engineering, 2019; 33（4）: 1328-1347.

Deng H P, Wu G. Discovery of topic-specific information source based on web crawler and website classification. Computer Engineering and Applications, 2016; 52（3）: 59-65.

Xie R R, Xu H, Zheng S W, Ma G. Web crawler-based simulation of large data grabbing method for web pages. Computer Simulation, 2021; 38（06）: 439-443.

Gong W W, Qi X C, Pei S L. Research and application of hybrid programming with Python and R. Computer Applications and Software, 2018; 35（1）: 28-31.

Liu X P, Liu H J, Zhao Y, Li G L. Time domain analysis of bridge flutter and programming based on ANSYS. Journal of Vibration and Shock, 2022; 41（13）: 252-258, 293.

Kochhar P S, Wijedasa D, Lo D. A large scale study of multiple programming languages and code quality. In: 23Rd International Conference on Software Analysis, Evolution, and Reengineering （SANER）, Osaka, Japan: IEEE, 2016; 1: 563-573. DOI: 10.1109/SANER.2016.112

Zheng C, An Y, Wang Z, Qin X, Eynard B, Bricogne M, et al. Knowledge-based engineering approach for defining robotic manufacturing system architectures. International Journal of Production Research, 2023; 61（5）: 1436-1454.

Liu J C, Wu B G, Chen D. Research and construction of web crawler based forest management knowledge collection system. Journal of Zhejiang A&F University, 2017; 34（4）: 743-750.

Choi H, Lee S, Jeong D. Forensic recovery of SQL server database: Practical approach. IEEE Access, 2021; 9: 14564-14575.

Schreiner G A, Duarte D, Mello R D S. Bringing SQL databases to key-based NoSQL databases: a canonical approach. Computing, 2020; 102（1）: 221-246.

Wang B, Wu L, Li W J, Qiu Q J, Xie Z, Liu H, et al. A semi-automatic approach for generating geological profiles by integrating multi-source data. Ore Geology Reviews, 2021; 134: 104190.

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Published

2025-06-30

How to Cite

Liu, H., Zhang, Y., Xie, Y., & Zhao, Y. (2025). Automatic updating of a combine harvester knowledge-based system by webpages and user-uploaded files. International Journal of Agricultural and Biological Engineering, 18(3), 165–175. https://doi.org/10.25165/ijabe.v18i3.9073

Issue

Vol. 18 No. 3 (2025): IJABE

Section

Information Technology, Sensors and Control Systems

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