Bridge maintenance process multi-point temperature and humidity prediction system based on deep learning

The invention discloses a bridge maintenance process multi-point temperature and humidity prediction system based on deep learning, and the system comprises a plurality of temperature sensors, a plurality of humidity sensors, a single-chip microcomputer, a visual display interface, and a storage server. The plurality of temperature sensors and the plurality of humidity sensors are mounted at non-central intersection stiffening bulb tube nodes of a space tube truss of a bridge at equal intervals, and the plurality of temperature sensors and the plurality of humidity sensors are electrically connected with the single chip microcomputer. According to the invention, temperature and humidity detection is carried out on a non-central intersection stiffening bulb tube node of a space tube truss of a bridge through a temperature sensor and a humidity sensor, detected data is predicted through a temperature and humidity data prediction module, and the detected temperature and humidity data is simulated and trained thr