| With a solid mass foundation, traditional fermented food is closely related to people’s lives and plays an important role in the national economy. Traditional fermented food is mainly produced by the process of traditional solid state fermentation. As traditional solid state fermentation, with open fermenting environment and rich micro-ecological environment of microbial populations, has complex metabolites and can’t do without pits and other traditional container, it is difficult to realize the automation of production. At present, the level of automation about traditional solid state fermentation production is low. Improving the automation of traditional solid state fermentation production is an urgent need for expansion of production capacity, ensuring fermentation quality, reducing labor costs and improving sanitary conditions, which is of great significance. This paper focuses on some key issues in traditional solid state fermentation automation technology. Main research works are as follows:(1)For the current situation that the production of traditional solid state fermentation mainly relies on manual operation, one solid fermentation machinery and automation equipment design is presented.(2)Taking fermentation of Luzhou-flavor liquor as an example, traditional solid state fermentation control system design is elaborated from three aspects: control flow design, hardware design and software system design.(3)Apply expert system to the field of traditional solid state fermentation. Taking fermentation of Luzhou-flavor liquor as an example, the design of traditional solid state fermentation expert system is elaborated in detail from system design, knowledge acquisition, target decomposition, inference control strategy, representing facts and reasoning based on fuzzy logic and other aspects.(4)Design the software architecture based on Jess and FuzzyJToolkit for traditional solid state fermentation expert system. Details about development of traditional solid state fermentation expert system such as designing framework, creating shadow facts by JavaBeans and Jess, defining custom functions by Userfunction, defining rules, fuzzy fact representation and reasoning based on FuzzyJToolkit and embedding Jess into Java application are elaborated. |