Influence of intelligent unmanned system on the development of intelligent measuring

Bing Zhang; Kai Tang; Junlin Du

doi:10.1117/12.2503984

31 August 2018 Influence of intelligent unmanned system on the development of intelligent measuring

Bing Zhang, Kai Tang, Junlin Du

Proceedings Volume 10835, Global Intelligence Industry Conference (GIIC 2018); 108350Y (2018) https://doi.org/10.1117/12.2503984
Event: Global Intelligent Industry Conference 2018, 2018, Beijing, China

Abstract

The traditional measuring method is incapable of meeting requirements of increasing measuring work due to the development of artificial intelligence and big data technologies. A novel development concept of the intelligent measuring was proposed in this paper to conquer drawbacks, such as lacking of intelligent relevance, possessing the only one kind of measuring method, low efficiency and accuracy in measuring data processing, of the traditional measuring equipment facing the challenges of complex environment and diverse objects of measurement. Intelligent unmanned system composed of technologies of internet of things, wireless sensor network and radio frequency are applied to aviation, land, ocean and other occasions, which makes automatic data collection and long-distance transmission done by remote equipment’s teamwork come true. Based on the cloud computing technology, tasks receiving, data processing and publishing, and data authorizing were conducted by the service center. The present work demonstrates some results obtained by the only one kind of the current measuring method. Further, theory of some technologies and methods was introduced and importance of intelligent unmanned system on the development of intelligent measurement. The current research work provides some suggestions of help on development of intelligent unmanned equipment and progress of measuring technologies.

Citation Download Citation

Bing Zhang, Kai Tang, and Junlin Du "Influence of intelligent unmanned system on the development of intelligent measuring", Proc. SPIE 10835, Global Intelligence Industry Conference (GIIC 2018), 108350Y (31 August 2018); https://doi.org/10.1117/12.2503984

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