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On January 22, the reporter learned from Hunan University that the school's advanced technology and intelligent equipment team for underground space development, together with the team of China Railway Construction Heavy Industry Group, independently developed shield tunneling operation and maintenance and risk prevention and control agents. The agent has been installed on the ultra-large diameter shield equipment, providing technical support for major national projects, so that the shield machine has a "smart brain" that can accurately prevent and control risks.

The shield machine is a major core equipment for underground engineering construction. Different from the ground equipment construction scenario, the shield machine needs to be in "close contact" with the surrounding strata during the underground tunneling process. The tunneling work of the shield machine is affected by the interaction between the two, which makes it difficult to manually control the appropriate operating parameters of the shield machine under complex geological conditions, which can easily induce risks such as excavation face instability, surface settlement exceeding the limit, and shield attitude imbalance. In order to solve this industry problem, with the support of the Hunan Engineering Research Center for Advanced Technology and Intelligent Equipment for Underground Space Development and the major project "Key Technology for Intelligent Tunneling of Complex Formation Shields" in Changsha, Chen Renpeng, a professor at the School of Civil Engineering of Hunan University, led a team and cooperated with the scientific research team of Railway Construction Heavy Industry to tackle key problems, focusing on allowing shield machines to independently "identify" geology, "predict" risks, and finally achieve "accurate" decision-making.
This important achievement of school-enterprise industry-university-research-application cooperation systematically opens up the complete link of "nature perception-risk early warning-intelligent decision-making" of the shield machine, and promotes the leap from "experience-driven" to "data-driven" tunneling under complex geological conditions. "With the 'smart brain', we can accurately predict the surface subsidence and shield attitude, and avoid the risk of ground collapse in advance. At the same time, it can also warn of hidden dangers of the shield machine in real time and intelligently make decisions on tunneling parameters, making tunneling operations under complex geology more stable and efficient. Zhang Chao, a team member and professor at the School of Civil Engineering of Hunan University, said.

After being applied to the 20th standard project of the Chongming Line of Shanghai Metro, the accuracy of the system parameter-assisted decision-making is higher than 90%, and the deviation of the control excavation attitude does not exceed 30 mm, which effectively solves the lag and unreasonable problems of traditional manual control. In the Guanghua Intercity Second Work Area project, the efficiency of the agent in equipment fault diagnosis and intelligent operation and maintenance has increased by 20% compared with the traditional method of document search and troubleshooting, helping to improve equipment utilization by 12%, and promoting a 5% increase in monthly footage under typical working conditions.
At present, the relevant technologies of this achievement have been listed as the key promotion achievements of the "four new technologies" of tunnels and underground space of the China Highway Society. Its popularization and application significantly reduces the construction safety accident rate and the risk of human misjudgment, and greatly improves the operation and maintenance response efficiency. Chen Renpeng revealed that in the next step, the team will continue to deepen the field of intelligent tunnel construction, and strive to promote the expansion and application of related technologies in more complex engineering scenarios such as ultra-large diameter shields and cross-river and sea tunnels, so as to support the high-quality development of underground engineering construction in our country.