"Architecture and Key Technologies of Big Data Platform for Highway Engineering Safety" has been first published in "Highway" on CNKI.
A large number of safety-related data will be generated during the execution of highway project, which is difficult to be systematically managed and fully utilized. Firstly, the classification, content and collection method of safety data in the process of highway construction are explained, and the characteristics and processing requirements of safety data are analyzed. Secondly, the architecture of big data platform for highway engineering safety is constructed, and the main levels of the platform are briefly explained. Finally, four key technologies of data pre-processing, data fusion and storage, data asset management, data analysis and mining for highway construction safety are analyzed in detail. The results show that:(1) The data of highway project implementation can be divided into seven categories, such as basic data, structure, machinery and equipment, etc., and data processing should meet the requirements, such as data extraction from heterogeneous data sources, etc.(2) The architecture of big data platform for highway project safety can be divided into six layers: data source layer, data access and pre-processinglayer, etc.(3) The key technologies of platform include data pre-processing, data fusion and storage, etc.
Note: Highway is a core journal of science and technology in the category of comprehensive technology.