Blockchain for Collapse Risk Assessment of Undersea Rock Tunnel

Risk assessment of undersea tunnel collapse is very important for tunnel construction safety. Because the existing methods cannot guarantee the accuracy and authenticity of relevant on-site data, they limit the effectiveness of dynamic risk assessment. To address this issue, a blockchain-based distributed information management solution for collapse risk assessment during undersea tunnel construction was proposed in this paper. The presented framework creates a risk assessment platform application for engineering projects, combines blockchain technology with the Bayesian network risk assessment process, and designs a number of smart contracts for creating Bayesian networks, reading node data, computing, and storing. This study emphasizes the following two aspects: (1) instead of utilizing external software, it has created a Bayesian network risk assessment model based on the Go language, which minimizes the chance of data manipulation and eliminates the need for repeated data transfers; and (2) in order to accomplish risk information collection, verification, and estimation, smart contracts appropriate for collapse risk assessment were developed. This has addressed concerns with transparency, tampering, and credibility in conventional safety risk assessment methods and improved risk management efficiency. The practicality of the framework was evaluated and proven by a real construction project in China’s Qingdao No.2 undersea tunnel, the longest undersea road tunnel in the world. The results demonstrate the effectiveness and dependability of the blockchain-based Bayesian network risk assessment method, along with its high throughput and low latency. It guarantees the veracity of risk assessments as well as the authenticity and transparency of collapse risk source information during tunnel construction.