The invention discloses a
nitrogen-
oxygen sensor protocol adaptive detection device and method based on
machine learning, and relates to the technical field of vehicle emission control. The equipment comprises an upper computer, a CAN (Controller
Area Network) communication module, IO (Input / Output) equipment and a controllable power supply module, according to the method, precise matching of protocols is achieved through a three-layer
cascade decision-making architecture based on a
random forest classifier, stable communication is established in combination with automatic
baud rate detection, and distinguishing detection and initialization of front and rear
nitrogen oxygen sensors are achieved through dynamic pin
state control and power-on and power-off management. And meanwhile, the
system has comprehensive
data extraction, real-time display and fault diagnosis optimization functions. The method solves the problems of low protocol matching accuracy, insufficient dynamic detection capability, incomplete
data extraction, tedious operation, poor
system adaptability and the like in the prior art, and has the advantages of high accuracy, strong adaptive capability, high
automation degree, good compatibility and the like.