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Knowledge Training System of Urban Pest Control Based on Big Data Analysis

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e-Learning, e-Education, and Online Training (eLEOT 2020)

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Abstract

Urban insects are a large group of arthropods closely related to urban economic construction and people’s life. If they are not effectively controlled, they will bring harm and loss to urban economic construction and people’s life. In this context, in order to help the relevant urban management departments to better complete the work of urban pest control, the design of urban pest control knowledge training system based on big data analysis is studied. The research includes the overall design and detailed design of the system. The overall system discusses the overall system architecture, system function architecture, system architecture, system topology and other macro or surface theories. The technical points of the whole training information management system are in the detailed design stage, which is divided into system login configuration module, training demand management module, resource management module, teaching management module, performance management module, system management module and other modules. Finally, the system test and performance analysis are carried out for the system. The results show that the training system can support 500 users to use simultaneously and meet the needs of users’ learning and training.

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References

  1. Courtierorgogozo, V., Morizot, B., Boëte, C.: Using CRISPR-based gene drive for agriculture pest control. 18(9), 1481 (2017)

    Google Scholar 

  2. Amin, P.W.: A modified ancient prescription for crop yield improvement and cotton pest control. 6(2), 163–166 (2018)

    Google Scholar 

  3. Grzywacz, D., Moore, S.: Chapter 7 – Production, formulation, and bioassay of baculoviruses for pest control, 109–124 (2017)

    Google Scholar 

  4. Gagic, V., Paull, C., Schellhorn, N.A.: Ecosystem service of biological pest control in Australia: the role of non-crop habitats within landscapes: native vegetation and biocontrol. Austral Entomol. 57(2), 194–206 (2018)

    Article  Google Scholar 

  5. Xie, X., Shi, L., Zhang, Z., et al.: Multiservice training simulation system for multilevel power grid dispatching and operation part one system design and implementation. Autom. Electr. Power Syst. 41(13), 100–105 (2017)

    Google Scholar 

  6. Zhang, B., Wang, L.: Real-time simulation training system for substation based on FPGA. Power Syst. Protect. Control 45(6), 55–61 (2017)

    Google Scholar 

  7. Hou, Y., Lin, Y., Shi, J., et al.: Effectiveness of the thoracic pedicle screw placement using the virtual surgical training system: a cadaver study. Oper. Neurosurg. 15(6), 6 (2018)

    Google Scholar 

  8. Chen, Z., Wang, L.: Reconstruction of a clinician training system in China—a successful “5 + 3” model from Shanghai. 32(3), 264–269 (2017)

    Google Scholar 

  9. Yang, W., Wang, H., Xu, Y., et al.: Effect of balance evaluation and training system on early trunk control ability of patients with cerebral apoplexy. Rehabil. Med. 27(2), 17 (2017)

    Article  Google Scholar 

  10. Oshita, M., Inao, T., Ineno, S., et al.: Development and evaluation of a self-training system for tennis shots with motion feature assessment and visualization. Vis. Comput. 35(3), 1–13 (2019)

    Google Scholar 

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Funding

Key topics of Beijing Polytechnic, the application of UAV spraying in the city pest control service (2019H033-KQ).

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Authors and Affiliations

  1. Beijing Polytechnic, College of Mechatronic Engineering, Beijing, 100176, China

    Xin Zhang & Ming-fei Qu

Authors
  1. Xin Zhang
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  2. Ming-fei Qu
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Corresponding author

Correspondence to Xin Zhang .

Editor information

Editors and Affiliations

  1. Human Normal University, Changsha, China

    Shuai Liu

  2. Harbin University, Harbin, China

    Guanglu Sun

  3. Hunan Normal University, Changsha, China

    Weina Fu

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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Zhang, X., Qu, Mf. (2020). Knowledge Training System of Urban Pest Control Based on Big Data Analysis. In: Liu, S., Sun, G., Fu, W. (eds) e-Learning, e-Education, and Online Training. eLEOT 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 340. Springer, Cham. https://doi.org/10.1007/978-3-030-63955-6_22

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  • DOI: https://doi.org/10.1007/978-3-030-63955-6_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-63954-9

  • Online ISBN: 978-3-030-63955-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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