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Development on Intellective Collecting Apparatus of Slope Monitoring Data with Human Machine Interaction

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Abstract

In safety monitoring of slope, a collecting apparatus was inconvenient in operation, low in efficiency, restricted in application. Based on analysis of technical requirements about safety monitoring of slope, the design thinking of human computer interface for the intellective collecting apparatus of slope monitoring was put forward, human machine interface WEINVIEW TK8070IH suitable for slope monitoring was chosen, the software of the human machine interface was developed based on a software EasyBuilder, the collecting apparatus of slope monitoring with human machine interaction was developed with multi-function, remote, intelligent, simple, indoor test and in-field application of the apparatus were carried out. Test and application showed, sensors accessed to the intellective collecting apparatus did not rely on in-field computer operation, with the collecting apparatus, we could set/modify the parameters of sensors, dynamically adjust the parameter of collecting interval, copy data, view the results and post-process data and so on, it could collect and transfer data for remote distance, it was efficient and convenient. The collecting apparatus can be applied in safety monitoring of slope projects for civil, water conservancy, traffic, railway etc.

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Acknowledgements

This work was financially supported by the National Natural Science Foundation (Grant: 51577157).

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Authors and Affiliations

  1. College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, China

    Ruixin Shen & Qinyue Tan

  2. Wuhan Econt Technology Co., Ltd, Wuhan, China

    Yingjun Wang

Authors
  1. Ruixin Shen
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  2. Qinyue Tan
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  3. Yingjun Wang
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Correspondence to Qinyue Tan.

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Shen, R., Tan, Q. & Wang, Y. Development on Intellective Collecting Apparatus of Slope Monitoring Data with Human Machine Interaction. Wireless Pers Commun 102, 2033–2045 (2018). https://doi.org/10.1007/s11277-018-5253-0

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  • DOI: https://doi.org/10.1007/s11277-018-5253-0

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