System movement space and system mapping theory for reliability of IoT

Abstract

The Internet of things (IoT) is ubiquitous, and its system structure is becoming increasingly complex. Hence, its reliability has become a concern for people. Scientific research on system reliability, fault processes and fault big data in industrial engineering, industrial informatization and IoT is complex. It must be conducted by combining information science, system science, intelligence science and data science. In this paper, we propose an analysis method of the reliability and fault big data for the study of IoT that is abstracted as a system. The paper introduces information ecological methodology into fault big data processing to complete fault information transformation. Regarding system reliability as an objective, the power, representations and measurement of system movement are investigated. The system movement space (SMS) and system mapping theory (SMT) are proposed and used for the identification of the system structure. Finally, the correspondence relationship between the artificial system and the natural system, their characteristics and mapping methods, and the system characteristics that are consistent with various philosophical views are identified. The paper provides a theoretical basis and analytical methods for the study of system movement and change processes, especially for the study of the system reliability via fault big data analysis.