Fault remote/automatic diagnosis method for anti-fatigue equipment based on master and slave

Abstract

The invention discloses a fault remote / automatic diagnosis method for anti-fatigue equipment based on a master and a slave. The equipment comprises the GPS master, the anti-fatigue alarm slave and a control terminal, wherein the GPS master and the anti-fatigue alarm slave are connected with the control terminal through a signal transmission module, and the control terminal is connected with a background monitoring terminal through a wireless transmission module. According to the method, the working principle is simple, statistical analysis and comparison are performed based on data generated by the master and the slave, the result is visual and clear, and the analysis is more reliable than analysis through an equipment fault code, a status bit and other events and states based on hardware;the equipment faults of not getting on line, not giving an alarm and the like can be accurately positioned, and cost of door-to-door checking is saved; and the means of enhancing truck safety management through the anti-fatigue equipment is important and effective. The equipment fault remote and automatic diagnosis method is efficient, rapid, effective and low in cost; and through the method, fault discovery timeliness can be greatly improved, and cost can be greatly lowered.

Description

technical field [0001] The invention relates to the technical field of equipment diagnosis, in particular to a fault remote / automatic diagnosis method for anti-fatigue equipment based on a master-slave machine. Background technique [0002] Safety is the most important and urgent topic in the field of freight transportation. Because the truck driver may drive tiredly, it may also cause dangerous driving due to making a phone call and looking left and right while driving. Therefore, it is necessary to install an anti-fatigue device on the truck. The anti-fatigue device is an on-board terminal device that recognizes the driver's dangerous driving behavior through images. The equipment runs with the truck in a mobile open environment. Whether it works normally and where there is a fault requires remote monitoring and diagnosis. The remote monitoring and diagnosis technology in the prior art is not perfect enough, so it is necessary to improve it. Contents of the invention ...

AI Technical Summary

Problems solved by technology

The equipment runs with the truck in a mobile and open environment. Whether it is working normally and where there is a fault requires remote monitoring and diagnosis. The remote monitoring and diagnosis technology in the prior art is not perfect, so it is necessary to improve

Images