The invention relates to the technical field of vehicle-mounted communication, in particular to a vehicle-mounted
wireless communication module real-time interference avoidance method based on
edge computing, which comprises the following steps of: capturing burst pulse interference of
the Internet of Vehicles and a cellular
frequency band through marginalized spectrum sensing, extracting a
time domain duty ratio and a spectrum
mask feature, and forming a dynamic interference
feature set; performing multi-level classification on interference sources by using a lightweight
convolutional neural network, calculating confidence coefficients in combination with
signal entropy values, and generating interference situation data; fusing the vehicle position, the road topology and the surrounding node state to construct a risk thermodynamic diagram, driving an edge engine to dynamically redistribute spectrum resources, and outputting a channel switching instruction; controlling a
radio frequency front end to adjust power and modulate a coding scheme through an instruction, and synchronously acquiring link quality feedback; by comparing a feedback value with a safety threshold value in real time, a redundancy mechanism is triggered to realize seamless switching of a main link and a standby link, an uploaded log is encrypted, and high reliability and safety of communication are ensured.