ZHOU Fujun, MENG Xianglian, ZHANG Wenzhong, LI Junqing, WANG Dong, CHEN Xingqiang, ZHANG Kun, CHAI Lunwei
Journal of Railway Engineering Society. 2025, 42(10): 1-6.
Research purposes: Investigation is the premise and foundation of planning, design, construction and operation of various infrastructure projects. China's infrastructure is constantly improving, and the process of urbanization is developing continuously. The Belt and Road Initiative for international cooperation is advancing in depth. The environmental challenges faced by engineering investigation are becoming more and more difficult, the implementation of traditional investigation methods is difficult, and the market competition in the field of engineering construction is more intense. All of these put forward higher requirements for the survey results and quality. In order to improve the level of investigation and survey technology, it’s very urgent and necessary to combine with cloud computing, big data, artificial intelligence and other new generation of information technologies. Through these all works, the digital transformation and intelligent upgrading of investigation technology can be realized.
Research conclusions: (1) Intelligent investigation is the comprehensive advancement stage of integrated survey technology development in the field of railway engineering (3.0 Era). (2) The main content of this paper is around the five main lines of investigation:information standard, data results, equipment means, operation process, and application service.The connotation of the technical system and the overall solution of the intelligent investigation of railway engineering are systematically established. (3) This paper shares the following research results: the survey information standard, the standardized mapping of remote sensing interpretation results, the rapid mapping of geological maps, the airborne multi-source remote sensing equipment, the multi-parameter test equipment in the hole, the intelligent remote sensing interpretation, the intelligent identification of core lithology, the rapid modeling of three-dimensional geology, the geological information service and the geological language model, etc. (4) The subsequent development direction is proposed in this paper, namely establishing standard systems, innovating survey equipment, upgrading specialized applications, enhancing collaborative services, and cultivating comprehensive talent. (5) These works can provide reference for the research of intelligent investigation technology, offering guidance for the whole industry and the various companies to advance digital transformation and intelligent upgrading of investigation technology.