Abstract:The socialization of automobile development has brought great convenience to people's travel. However, the rapid increase in the number of vehicles has also caused a series of problems. The increase in traffic accidents has brought great social casualties and economic losses. Fatigue driving, which is an important factor in the traffic accident, has aroused people's attention. This paper reviews all kinds of fatigue driving detection methods at present; compares various fatigue driving detection methods in terms of accuracy, real-time and cost; analyses the advantages and disadvantages of various methods; introduces the application of fatigue detection system in automobile; summarizes the current deficiencies and future development trends in the field of fatigue driving detection. The future research of this field will be more to the data fusion, computer vision and deep learning.

Abstract. Reliable CNC machine tools can make the industrial production efficient and stable. The reliability of CNC system is a hot topic in the field of mechanical engineering. It is very meaningful to make suggestions to improve the reliability of CNC machine tools by collecting and analyzing the operation data of CNC machine tools. The data cloud platform of CNC system is designed and implemented in this paper. It is used to collect the data of CNC system and provide data service to the public. This data cloud platform, based on server cluster and big data processing framework, can effectively receive, forward, store and publish data of CNC system. The experiment proved that the system has high availability, high concurrency, high throughput and reliable disaster recovery ability.