The invention discloses an online equipment health state self-detection method and system for tobacco processing equipment. The method comprises the steps that parameters reflecting the state of the tobacco processing equipment in real time are acquired; the tobacco processing equipment state parameters corresponding to an operating state are selected according to the operating state that the tobacco processing equipment is in; an evaluation model for the health state of the tobacco processing equipment is constructed according to the selected tobacco processing equipment state parameters; the parameter weight, a model parameter center value, a model parameter threshold value and a stage key parameter in the evaluation model for the health state of the tobacco processing equipment are determined; the corresponding parameter current value, parameter center value, parameter threshold value, parameter weight and key parameter value of the tobacco processing equipment are substituted into the constructed evaluation model for the health state of the tobacco processing equipment according to the state that the tobacco processing equipment is in, and then the health state of the tobacco processing equipment in a current state is obtained. According to the online equipment health state self-detection method and system for the tobacco processing equipment, the adopted data is real-time online data, and by taking the data as an evaluation basis, more truth is achieved, and quantitative evaluation is more precise.