Acta Optica Sinica, Volume. 41, Issue 11, 1112001(2021)
Research on Key Technologies for Large-Scale Distributed Measurement Network Reconstruction
The large-scale distributed measurement system is a measurement network based on multiple measurement fusion. The network structure is the key to improve the network performance, which has an important impact on the measurement accuracy, efficiency and even cost. To solve the network structure reconstruction caused by the changing of obstacles, measurement objects and requirements, based on the coverage performance of the network nodes, the method to determine the lost-of-light issue based on the fast collision detection algorithm is first investigated and the problem of blind spot judgement is solved. Then, the network reconstruction algorithm based on Next-Best-View (NBV) is studied. At the same time, in order to improve the networking efficiency, the improved grey wolf optimization algorithm is used as the best location search algorithm to rearrange the numbers and positions of nodes, and thus efficient networking is realized and the reconstruction accuracy is improved. Finally, with the workshop Measurement Positioning System (wMPS) as the verification platform and from three aspects of measurement coverage, accuracy and networking efficiency, the effectiveness of the proposed method is confirmed by changing measurement conditions and requirements.
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Huiyu Ma, Jiarui Lin, Rao Zhang, Dongyuan Cheng, Jigui Zhu. Research on Key Technologies for Large-Scale Distributed Measurement Network Reconstruction[J]. Acta Optica Sinica, 2021, 41(11): 1112001
Category: Instrumentation, Measurement and Metrology
Received: Nov. 27, 2020
Accepted: Jan. 8, 2021
Published Online: Jun. 7, 2021
The Author Email: Lin Jiarui (linjr@tju.edu.cn)