Intelligent gene implanted box girder steam curing manufacturing thermal field monitoring system and method

Abstract

The invention discloses a monitoring system and method for a box girder steam-curing manufacturing thermal field implanted with intelligent genes, the monitoring system comprises a physical signal sensing module, a data acquisition and transmission module and a data processing module, the physical signal sensing module is used for sensing the temperature and temperature strain in a winter steam-curing box girder body in real time; the data acquisition and transmission module is used for capturing and acquiring the temperature and temperature strain data acquired by the physical signal sensing module and transmitting the temperature and temperature strain data to the data processing module; and the data processing module is used for converting the temperature and temperature strain light wave signals acquired by the data acquisition and transmission module into a temperature value and a temperature strain value, and classifying and storing the processed data. According to the invention, real-time monitoring of the temperature field and the temperature stress in the whole steam-curing manufacturing process of the box girder can be realized, and the quality of the high-speed rail box girder in the winter steam-curing process is ensured to meet the engineering requirements.

Description

technical field [0001] The invention belongs to the field of bridge health monitoring, and relates to a thermal field monitoring system and method for steam curing manufacturing of box girders implanted with intelligent genes. Background technique [0002] The high-speed rail bridge has a large amount of engineering and a long construction period. In order to meet the needs of the construction progress of the project, it is necessary to continuously pour concrete throughout the year. However, the winter in Northeast China lasts for as long as 6 months, which has led to the construction of high-speed rail bridges in a long-term low-temperature environment in winter. The low temperature and harsh climate are not conducive to the continuous growth of concrete strength. Improper maintenance measures can easily cause structural loosening and even frost cracking, which will inevitably affect the strength, durability and impermeability of concrete. In order to overcome the problem...

AI Technical Summary

Problems solved by technology

[0003] The monitoring of traditional large-scale concrete projects during the construction process is often limited to the monitoring of concrete temperature. The high temperature of concrete and the large temperature difference between inside and outside will inevitably have an adverse effect on concrete.

However, in addition, the direct cause of early concrete cracking is caused by temperature stress, so it is necessary to monitor temperature stress for high-speed rail box girders manufactured by steam curing in winter

On the other hand, the traditional monitoring of early concrete temperature often uses electrical signal sensors, which have the following two disadvantages: First, the electrical signal sensors have poor anti-electromagnetic interference ability, poor moisture resistance and durability , in the harsh construction environment of civil engineering, it is easy to cause the signal instability and large error of the electrical sensor

Second, electrical sensors do not have a multiplexing function, which makes each sensor occupy a channel alone, and has relatively high requirements for signal acquisition equipment. Large structural components often require a large number of sensors, and the length of signal transmission cables will also increase. increase economic cost

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