Scientific and Technological Achievement Evaluation Meeting Successfully Hold by CSRME
发布时间:2020年04月25日
浏览数:5991
From April 25 to 26, 2020, by the Chinese Society for Rock Mechanics & Engineering (CSRME), three scientific and technological achievement evaluation meetings were successfully held.
On April 25, 2020, a video meeting on evaluating the scientific and technological achievements of intelligent tunneling key technology and application of rock tunnel boring machine (TBM) was held. For solving the key technical problems such as rock-machine interaction, multi-source information perception, recognition and evaluation, intelligent driving and decision-making, the project team adopted research methods such as indoor and field tests, artificial intelligence and data mining to carry out systematic and in-depth research and practice, and finally achieved many innovation achievements. All members of the evaluation committee unanimously believe that the research results of the project have reached the international advanced level, among which the TBM multi-system cooperative driving intelligent control and optimization decision-making technology has reached the international leading level.
On April 26, 2020, CSRME organized and held the sci-tech achievements evaluation meeting, namely "Key Technology for Comprehensive Disposal and Safety Control during TBM Passing Through Giant Caverns in Complex Mountain Areas" and "Intelligent Perception Technology in Analyzing Construction Safety Risks Based on 'Cloud Computing Integration'". A total of nine experts were invited to set up the evaluation committee, including Prof. Qian Qihu, an academician of the Chinese Academy of Engineering. Prof. Qian Qihu was selected as the chair of the evaluation committee. After the presentation of the project achievements, the committee members gave a high appraisement to the two projects, and believed that the project achievements have reached the international advanced level, and also reached the international leading level in intelligent perception technology in analyzing construction safety risks based on "cloud computing integration". Personnel safety can be ensured by the real-time positioning and health monitoring developed by these two projects, and key sections can be monitored by using multi-dimensional real-time monitoring, evaluation and early warning.
On April 25, 2020, a video meeting on evaluating the scientific and technological achievements of intelligent tunneling key technology and application of rock tunnel boring machine (TBM) was held. For solving the key technical problems such as rock-machine interaction, multi-source information perception, recognition and evaluation, intelligent driving and decision-making, the project team adopted research methods such as indoor and field tests, artificial intelligence and data mining to carry out systematic and in-depth research and practice, and finally achieved many innovation achievements. All members of the evaluation committee unanimously believe that the research results of the project have reached the international advanced level, among which the TBM multi-system cooperative driving intelligent control and optimization decision-making technology has reached the international leading level.
On April 26, 2020, CSRME organized and held the sci-tech achievements evaluation meeting, namely "Key Technology for Comprehensive Disposal and Safety Control during TBM Passing Through Giant Caverns in Complex Mountain Areas" and "Intelligent Perception Technology in Analyzing Construction Safety Risks Based on 'Cloud Computing Integration'". A total of nine experts were invited to set up the evaluation committee, including Prof. Qian Qihu, an academician of the Chinese Academy of Engineering. Prof. Qian Qihu was selected as the chair of the evaluation committee. After the presentation of the project achievements, the committee members gave a high appraisement to the two projects, and believed that the project achievements have reached the international advanced level, and also reached the international leading level in intelligent perception technology in analyzing construction safety risks based on "cloud computing integration". Personnel safety can be ensured by the real-time positioning and health monitoring developed by these two projects, and key sections can be monitored by using multi-dimensional real-time monitoring, evaluation and early warning.