Building bridge data management system, the use of swiping wing gates on the need for site management

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Wing gates are complex structural systems that are an important part of transportation infrastructure. Due to the traffic load and the natural environment, as well as the aging of its own materials, untimely maintenance and repairs, and possible facility defects and construction problems, it will gradually damage over time.

Some well-developed wing gate management systems have been developed abroad, like Pontis has been used for decades. However, due to differences in management systems, conservation, and regulations, it is difficult to directly cite foreign practices. The domestically developed bridge management system is still at an exploratory stage. Therefore, drawing on the success of advanced foreign bridge management systems, establishing a scientific and efficient bridge management system suitable for China's situation is an arduous task for the bridge sector in China.

The wing gate management system is a computer information system on basic data of bridge gates, bridge detection, state assessment, structural degradation prediction, maintenance countermeasures and plans, and economic analysis. It is divided into network-level management and project-level management. The network-level bridge management is based on the establishment of a bridge information database, through the analysis and assessment of the inspection results of all the bridges within the entire area of ​​the jurisdiction, and the bridges are divided into several states, which are sound, need to be inspected and need to be immediately reinforced and maintained. The bridges are classified and classified, and the limited maintenance funds of these bridges are arranged in a rational and orderly manner according to this hierarchical sorting. Project-level bridge management is based on the theoretical analysis and calculation of the testing or test results of the bridges, evaluation of the safety of individual bridges, prediction of the future state of the bridges, and provision of decision-making solutions with scientific basis for the maintenance and reinforcement of bridges. A complete bridge management system should have at least three functional modules: a database module, a simulation analysis module, and a decision support module. Among them, the main task of the database module is the storage and management of bridge information. The database module directly receives the bridge state monitoring information, provides initial data for the simulation analysis module, and directly or indirectly serves the decision support module; the simulation analysis module is a system implementation of a bridge or a bridge component, and directly reads the relevant analysis indexes of the database module. Data, the use of the internal simulation model for future use state forecasting and maintenance needs analysis, and provide alternative solutions for decision analysis; decision support module will directly face the general user, the allocation of management funds and planning decisions for bridge management activities Support, it will make decision analysis based on the risk degree of some components within the entire jurisdiction of the competent authority, as well as the analysis results of maintenance needs obtained from simulation analysis, and make an overall allocation.

Although China's research on wing gate management system started late, some bridge management system software has also been developed. For example, the “Highway and Bridge Management System” developed by the Ministry of Communications integrates bridge structure engineering, disease mechanism, detection technology, and data acquisition technology, and uses computer data processing functions, evaluation and decision methods, and management theory to register the existing bridges. Evaluation analysis, investment decision and state forecasting are comprehensive management techniques and auxiliary decision-making tools that can provide practical management methods and effective management methods for the maintenance, repair, evaluation, decision-making and investment of highway bridges. The bridge database system can store, classify, and retrieve the design data of different bridge types. The “bridge project design database management system” developed by Southwest Jiaotong University has realized the design data, construction data, and transportation and nutrition data of various bridges. With the input, query and modification functions, Dalian University and Yamaguchi University of Japan have jointly developed an intelligent decision support system for reinforced concrete bridges, which utilizes the latest information processing technologies such as neural networks, fuzzy evaluation, genetic algorithms, and immune genetic algorithms to develop content including databases. tube System, aging evaluation systems and maintenance management strategies based on selection of bridge aging systems.

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