Method for remotely monitoring real-time working condition of engineering mechanical vehicles

Abstract

The invention discloses a method for remotely monitoring the real-time working condition of engineering mechanical vehicles, which comprises a step of data acquisition: acquiring all types of real-time working condition data and GPS positioning date, a step of data preprocessing: filtering and smoothing the acquired working condition data to obtain effective working condition data, a step of data upload: uploading the acquired effective working condition data and GPS positioning date to a control center, a step of data processing: generating charts and report forms of all types of working condition data corresponding to the engineering mechanical vehicle, and a step of remote fault early warning: sending early warning prompt message when the uploaded effective working condition data exceeds/lowers the early warning threshold. The method of the invention can realize the remote monitoring of the real-time working condition of engineering mechanical vehicles, has characteristics of real-time and overall acquisition of working condition data, accurate and timely fault analysis, convenient and quick fault treatment, and can greatly reduce the management cost on the engineering mechanical vehicles.

Description

technical field [0001] The invention relates to a method for monitoring construction machinery vehicles, in particular to a method for remotely monitoring real-time working conditions of construction machinery vehicles. Background technique [0002] In the past, when monitoring the working conditions of construction machinery vehicles, each construction machinery vehicle was equipped with an instrument display panel. The display panel can display limited types of working condition data parameters and abnormal work prompts. When the instrument panel prompts that the vehicle is working abnormally, The owner of the car will contact the manufacturer's after-sales service center. The maintenance personnel can only go to the site for maintenance when the working condition and specific location of the vehicle are unknown. The manufacturer will send technicians to the site to inspect the construction machinery vehicles at regular intervals and collect relevant working conditions. Da...

AI Technical Summary

Problems solved by technology

The existing monitoring method for construction machinery vehicles mainly has the following disadvantages: first, the vehicle manufacturer needs to have a huge after-sales service center, which is a waste of human resources, and the labor cost is relatively large; second, due to the working conditions displayed on the instrument panel The data parameters are limited and cannot fully reflect the working status of the vehicle; thirdly, this manual transmission of vehicle fault information is poor in real-time and low in efficiency, which affects the quality and image of the after-sales service of the vehicle manufacturer. , each person’s expression is different, the accuracy of the information will be reduced, and even misinformation will appear; Fourth, the maintenance personnel go to the scene for maintenance without knowing the working condition and specific location of the vehicle, and can only conduct inspections based on the situation on the spot. Maintenance is difficult and inefficient, and it is difficult to quickly find out the cause of the problem, and it is difficult to reach the maintenance point quickly when the specific location is unknown, resulting in waste of time and transportation costs; fifth, due to the frequent work of construction machinery vehicles In remote mountainous areas, where the traffic is inconvenient, it is a waste of manpower and material resources to regularly send technicians to the site for inspection and maintenance, and to collect working condition data. Moreover, the amount of data is small, the statistical method is not scientific, and the performance of the vehicle cannot be improved.

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