The invention relates to the technical field of automobile engines, in particular to an automobile engine temperature regulation and control method based on real-
time data monitoring, which comprises the following steps: S1, collecting multi-
source data in real time; s2, data
feature extraction and fusion; s3, temperature regulation and control strategy
intelligent decision making; s4, performing hierarchical regulation and control; according to the method, through multi-
source data fusion and an intelligent
algorithm, the limitation of traditional threshold control is broken through,
millisecond-level response and dynamic adjustment of the engine temperature are achieved, and the
temperature control precision is improved; according to the optimal strategy decision based on
reinforcement learning, excessive work of the cooling
system is avoided, and
energy consumption is reduced; meanwhile, the engine is maintained to operate in the optimal temperature interval, and the fuel economy and the
power output efficiency are improved; the real-time monitoring and closed-loop feedback mechanism can recognize the abnormal temperature trend in advance, high-temperature faults are avoided through hierarchical regulation and control, the service life of an engine and parts is prolonged, and the reliability of a vehicle is improved.