In order to strengthen the management of the safe use of large-scale equipment in automobile maintenance enterprises, a comprehensive evaluation index system was established for the safe use of spray paint booths in automobile maintenance enterprises, and the weights of indicators at all levels were determined by the analytic hierarchy process. Combined with the results of two consecutive random inspections on the safe use of spray paint booths in maintenance companies in a certain area, a fuzzy comprehensive evaluation of the safe use status of car spray booths in auto repair companies was carried out, and finally the quantitative score of management and technology categories was 83.54 and 69.52. The resulting overall score was 76.53. The research shows that the evaluation index system, evaluation method and results can actually reflect the safe use status of spray paint booths of automobile maintenance enterprises in a specific area. The quantitative assessment results will provide targeted guidance for strengthening the safety management of the auto maintenance industry.
With the development of Automotive Technology in the direction of intelligence, networking and electrification, the number and complexity of on-board sensors and electronic devices are gradually increasing, so that the traditional automotive maintenance business is no longer limited to mechanical fault maintenance, and then turns to the diagnosis and maintenance of automotive electronic systems and components. According to the development trend of modern automobile technology, this paper puts forward a calculation method of automobile reliable life to realize the real-time online evaluation and prediction of vehicle reliable life. It is helpful to scientifically judge the technical status of vehicles in use, and plays an important supporting role in reasonably carrying out vehicle maintenance, improving vehicle owners' habits, and prolonging the reliable service life of vehicles.
KEYWORDS: Roads, Signal detection, Safety, Imaging systems, Switches, Lamps, Control systems, Principal component analysis, Wave plates, Intelligence systems
With the development of Automotive Intelligence and networking technology, vehicle-borne intelligent devices and systems have been widely used, and it can collect operation data in real time. Data has the characteristics of large amount of data, many types and wide coverage. Through the analysis and identification of these operation data, it is of great significance for monitoring vehicle operation status and evaluating vehicle technical performance. Especially the road transport vehicles, which have high running intensity and high safety risk, need to carry out targeted research. This paper collects and combs the operation data parameters of road transport trucks, refines and extracts various signal parameters by using principal component analysis theory, so as to form the data set of on-line monitoring of vehicle operation safety and provide basic data support for subsequent vehicle safety management.
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