The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Citation
Articles | Volume XLII-3/W10
https://doi.org/10.5194/isprs-archives-XLII-3-W10-57-2020
https://doi.org/10.5194/isprs-archives-XLII-3-W10-57-2020
07 Feb 2020
 | 07 Feb 2020

RESEARCH AND DESIGN OF INSPECTION CLOUD PLATFORM FRAMEWORK FOR SURVEYING AND MAPPING PRODUCTS

L. B. Zhang, H. Chen, and Z. Li

Keywords: Quality Inspection, Inspection Cloud Platform, Platform Framework, Massive Spatial Data, Cloud Computing

Abstract. With the continuous improvement of modern surveying and mapping technology and with the plentiful of achievements, traditional quality inspection software for single machine, single task and single data type, difficult to massive multi-source isomerization achievements, difficult to meet the requirement of rapid, accurate and efficient quality inspection. With the development of IT technology such as cloud computing, big data and artificial intelligence, the quality inspection software needs to combine cloud computing technology with quality inspection business, refactoring software framework. Facing to the storage and spatial query requirement of inspection for surveying and mapping products, the paper researches and designs the spatial data distributed storage and the spatial data distributed index in cloud platform. The Management of inspection rule is the core in cloud platform. Inspection rule is the minimum operating independent unit, which becomes inspection item by parameterization, the paper builds full run-time operating mechanism in cloud platform for inspection rule. Finally, Combining the inspection requirement for surveying and mapping products and business, the paper researches and design the cloud framework for surveying and mapping products.