In the statistical process control, in order to make use of expert information to reduce uncertainty, and to make comprehensive use of the prior information of different attributes in the control charts model, a new concept of general standard grey number is proposed to combine all these expert information and transform them into one space.Besides, a mathematical framework is established to characterize the information, and new rules of operation are proposed to calculate the multi-source heterogeneous grey information.Then, based on the classic Bayesian theory, parameters of the statistical quality control chart are estimated under the background of grey information, and cumulative sample data is used to optimize the parameters in an iterative approach, while expert grey information degenerating with data accumulation.The result shows that this model is able to reduce abnormal fluctuation and false alert, and gradually relies more on actual data.