Abstract

Abstract As a new energy source, nuclear energy is a hot topic in the world energy research. Due to its large nuclear reaction energy and serious potential harm, its reaction monitoring system has become an important research topic. This thesis has passed five investigation experiments, including the parameter data comparing the nuclear power reaction related to manual detection and human-computer interaction detection; comparing the differences between the human-computer interaction system and the artificial system that detect the temperature data during the day; and using the human-computer interaction system. The feasibility experiment of human-machine interaction adjustment design in artificial sensor-nuclear power monitoring system for the rise and fall of labor costs before and after detection. The experimental data show that the human-machine interaction detection scheme in the nuclear power monitoring system can be consistent with the manual detection data, and at the same time, the system can be used to ensure its accuracy at all times; and it can significantly reduce the labor cost and use the funds for scientific research. Improvement, at the same time, this scheme is also feasible. The experimental data show that the design of the human-computer interaction detection scheme in the nuclear power monitoring system is conducive to the systematic management of the micro data of the nuclear power reaction, while achieving macro-control, and reducing the labor cost by 80% and increasing the calculation speed value by 70% .The above will also provide a solid technical foundation for the future development of nuclear power.

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