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Abstract:
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Pre-stressed tension construction is the key link of the production process of pre-stressed concrete precast beams. The traditional manual operation has many disadvantages, such as low precision, low efficiency, complex operation, and poor synchronization, high frequency of calibration and uncontrollable authenticity of results. In view of the problems existing in the traditional pre-stressed tensioning of railway bridges at present. In this paper, based on big data, cloud technology and radio frequency identification technology, the Railway Pre-Stressed Concrete Beam Intelligent Tensioning Control and Management Integration System (BPS) was developed. The current BPS system includes intelligent tensioning pump station, intelligent tensioning jack equipment, intelligent software platform and intelligent handheld device. Furtherly, the BPS system has been tested and applied in Shijiazhuang-Jinan passenger dedicated line girder yard. The test verification results show that the tension control accuracy, construction quality and work efficiency has been improved due to the realization of automation, informatization, remote and real-time operation of the tensioning process. The BPS system has been developed according to the specifications and processes of the pre-stressed tensioning of railway bridges, the applicability of the railway beam field is strong. And the validity of the system is verified through automatic and manual tension test. Moreover, the system has been successfully applied to large beam fields of Shijiazhuang-Jinan, Jinan-Qingdao and other passenger dedicated line, the effect is good. Therefore, a solid foundation for the popularization of the Internet of things technology in the railway field in China has been laid through research and development of BPS system.
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