With the emergence and development of technologies such as the IoT, CPS and big data, industrial systems such as manufacturing, aviation driving, and safety monitoring have entered the intelligent transformation and upgrading of the fourth industrial revolution. The intelligent interaction mode, human factors ergonomics and information visualization of industrial systems are the core issues of human-machine collaboration. Based on the intelligent transformation of industrial manufacturing, human-machine collaboration in aerospace, nuclear power safety and intelligent monitoring and other major industrial backgrounds, the work analyzes the development trend of human-information-physical system intelligent interaction, domestic and foreign human factors in the context of industrial intelligence, research progress on evaluation technology, evaluation model and correlation of multi-source indicators, combing the development trend of information representation of intelligent industrial systems and the latest system multi-channel research methods. The review of domestic and foreign research shows that it is necessary to build a human-computer interaction research system for intelligent industrial systems from the perspective of multidisciplinary and cross-integration, which will greatly improve the person (task performers) in the system in obtaining information, knowledge, reasoning, and decision-making to achieve the cognitive performance of the intelligent interaction between human and machine, and realize the full perception fusion of human (natural person or robot), information system, and physical system, that is, the cooperative symbiosis mode of man and machine.