Detection system and method for loading conditions and transportation times of self-discharging truck

Abstract

The invention relates to a detection system and method for loading conditions and transportation times of a self-discharging truck. The system comprises a voltage type two-directional strain gage, a processing unit and a monitoring center, wherein the voltage type two-directional strain gage is arranged on an intermediate longitudinal girder of a frame of the self-discharging truck, the processing unit is used for receiving a deformation voltage signal, processing the deformation voltage signal and then transmitting the deformation voltage signal remotely, the monitoring center is used for receiving the signal output by the processing unit and calculating the loading conditions and the transportation times of the self-discharging truck according to the signal. The signal of the self-discharging truck is obtained in real time through the voltage type two-directional strain gage and is transmitted to the monitoring center through GPRS/3G, and the conditions of the self-discharging truck can be accurately obtained in real time. The method is not limited by the environment and is wide in application range. The system is simple in structure, adopted modules are existing elements, settings and connection of the elements can be achieved through existing technologies, and therefore the system structure is convenient to implement.

Description

technical field [0001] The invention relates to comprehensive monitoring of self-unloading heavy vehicles, in particular to a self-unloading heavy vehicle self-unloading heavy-vehicle load state and transport trip detection system and method. Background technique [0002] Self-unloading heavy vehicles are large-scale transportation machinery commonly used in engineering. They are widely used in earthwork excavation and filling projects and concrete projects. The real-time load and loading and unloading status information of these self-unloading heavy vehicles are monitored in an all-round way. It is a dynamic optimization material. Transportation scheduling scheme, a necessary means to improve equipment utilization. [0003] The environment of the project site is complex. At present, there is still a lack of effective technologies and means for comprehensive monitoring of the vehicle transportation process. There are already several methods of vehicle operation monitoring on...

AI Technical Summary

Problems solved by technology

[0003] The environment of the project site is complex. At present, there is still a lack of effective technologies and means for comprehensive monitoring of the vehicle transportation process. There are already several methods of vehicle operation monitoring on the market, and there are various disadvantages and environmental applicability problems.

For example, using the vehicle positioning and tracking technology based on GNSS satellite positioning, there are problems such as inability to locate indoors, inaccurate positioning on rough roads, and inability to judge the load status of the vehicle; the load status monitoring solution based on pressure sensors has problems such as high sensor cost and equipment installation. Complexity, poor stability, and inability to judge the unloading process; the method of manually switching the empty and full load state by the driver is greatly affected by the operator's factors and cannot be applied on a large scale; the weighing method based on the weighbridge can more accurately analyze the number of transportation trips and Engineering volume, but requires that the on-site work surface and traffic lines are relatively fixed, and it is impossible to flexibly set up the weighbridge room dynamically according to the needs of the project. At the same time, parking for weighing will lead to a decrease in traffic efficiency

[0004] None of the above existing technologies can accurately judge the load status of the vehicle and automatically count the number of transport trips. Therefore, it is urgent to develop new technologies, equipment and systems related to the load status of self-unloading heavy vehicles and the statistics of transport trips.

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