System for reducing failure probability of maintenance personnel and method thereof

Abstract

The invention discloses a system for reducing failure probability of maintenance personnel and a method thereof. The system comprises center control equipment and portable equipment. The portable equipment is provided with a digital signal processing system which is connected with a digital-to-analog and analog-to-digital converter. The digital-to-analog and analog-to-digital converter is connected with communication equipment, an alarm device, a sensor group and image photographing equipment. The center control equipment is interconnected with the portable equipment through the communication equipment. The portable equipment reads a radio frequency identification card through the communication equipment. The radio frequency identification card is used for storing related information of maintenance equipment or objects. The digital signal processing system is used for processing and control of digital signals. The digital-to-analog and analog-to-digital converter is used for realizing digital-to-analog conversion. The alarm device is used for prompting and alarming. The operation behavior of a digital master control room operator is monitored in real time by adopting an intelligent means so that artificial failure can be effectively prevented, industrial production safety can be guaranteed and production benefit can be enhanced.

Description

technical field [0001] The invention belongs to the field of electronic information, and in particular relates to a system and method applied in the maintenance link of an industrial system to reduce the error probability of maintenance personnel. Background technique [0002] With the development of science and technology, the increasing perfection of hardware in the system greatly reduces the possibility of its failure, but any man-machine system contains one or more functions, which must be performed by humans when necessary, even the so-called full-scale Automatic systems also require human intervention in monitoring, operation, maintenance and decision-making, and human influence occupies an increasingly important position. Although it is difficult to accurately count the effective data on human errors, at least the researchers have reached a general consensus: 60%-90% of the failures of all systems (regardless of the differences in their fields) can be attributed to hu...

AI Technical Summary

Problems solved by technology

Although it is difficult to accurately count the effective data on human errors, at least the researchers have reached a general consensus: 60%-90% of the failures of all systems (regardless of the differences in their fields) can be attributed to human errors

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