Remote online monitoring and management cloud platform for cargo transportation vehicle based on logistics industry

Abstract

The invention discloses a cargo transport vehicle remote online monitoring management cloud platform based on the logistics industry. Comprising a cargo transportation company basic information acquisition module, a vehicle and personnel information acquisition module, a cargo transportation order information acquisition module, a cargo transportation order distribution module, a truck entrance and exit monitoring module, a maintenance vehicle display and a storage database. A preferred influence coefficient is obtained through comprehensive analysis on two aspects of driver driving experience and a driver fatigue index, and meanwhile, a vehicle maintenance coefficient is obtained through comprehensive analysis on two aspects of vehicle body wear degree and a vehicle body sag index, so that irrationality caused by the problem of incomplete consideration during truck driver allocation is avoided; a powerful data basis is provided for vehicle maintenance, timely maintenance and adjustment of the truck are achieved, and potential safety hazards of a truck driver in the driving process are effectively reduced.

Description

technical field [0001] The invention relates to the technical field of cargo transportation, in particular to a cloud platform for remote online monitoring and management of cargo transportation vehicles based on the logistics industry. Background technique [0002] As an emerging composite industry, the modern logistics industry has developed rapidly in the world and has become the basic industry of the global people's economy and the backbone industry of the service industry. At present, the logistics industry is still in the accumulation stage. With the large-scale application of information technology and the rise of e-commerce, more and more cargo transportation methods, mainly trucks, have appeared. [0003] At present, the management of cargo transportation vehicles lacks intelligent control and management. Therefore, the current cargo transportation vehicle management platform still has the following drawbacks: [0004] The current cargo transportation vehicle manag...

AI Technical Summary

Problems solved by technology

[0004] The current freight vehicle management platform has certain defects in the allocation and management of truck drivers. It not only lacks the analysis of the driver's driving experience, but also lacks the analysis of the driver's fatigue index, which leads to considerations when assigning truck drivers. Incomplete questions can easily lead to irrationality. At the same time, ignoring the fatigue index of truck drivers will lead to an increase in safety hazards for truck drivers during driving, which will greatly increase the accident rate

[0005] The current freight vehicle management platform has certain defects in the maintenance and management of freight vehicles, not only ignoring the analysis of the wear degree of the truck body, but also ignoring the analysis of the dent index of the truck body, so the vehicle maintenance coefficient cannot be obtained as a reliable reference data, which in turn leads to the inability to maintain and adjust the trucks in a timely manner, which reduces the efficiency of the trucks and vehicles, causing certain economic losses, and also causes instability to the running of the trucks.

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