Road condition self-adaptation system of crane and crane

Abstract

The invention discloses a road condition self-adaptation system of a crane and the crane. The road condition self-adaptation system of the crane comprises a road condition parameter acquisition module, a driving mode analysis module and a driving mode control module, wherein the road condition parameter acquisition module is used for acquiring driving state parameters in real time, and sending the driving state parameters to the driving mode analysis module; the driving mode analysis module is used for judging the road condition in which the crane is located according to the driving state parameters and determining a driving mode, and sending a control parameter which corresponds to the driving mode to the driving mode control module; the driving mode control module is used for adjusting the driving state of the crane according to the control parameter. According to the road condition self-adaptation system of the crane and the crane disclosed by the invention, the road condition can be identified, and the driving mode is automatically determined or is manually determined by a driver; the corresponding driving cycle of a crane is adjusted, and thus, the bad working condition of the crane can be completely met; the safety, the economical efficiency and the comfort of crane driving can be improved; moreover, the cost is low, and installation and debugging are simple.

Description

technical field [0001] The invention relates to the technical field of engineering machinery, in particular to a road condition self-adaptive system of a crane and the crane. Background technique [0002] With the continuous advancement of automobile technology, when the vehicle is driving on the road, it is not only necessary to pay attention to its safety, power, fuel economy and handling stability, but also to pay close attention to driving comfort and ride comfort. For cranes, especially large-scale all-terrain cranes, it is necessary to perform various hoisting operations such as mountain wind power installation, grassland wind power installation, equipment installation in the factory area, building construction, road repair and bridge erection, etc. All-terrain cranes have to face various complicated conditions. Road conditions have higher requirements for the driving comfort and ride comfort of the vehicle. There are many factors that affect driving comfort and ride ...

AI Technical Summary

Problems solved by technology

[0003] At present, road condition recognition is usually carried out through a combination of multiple systems such as ultrasonic ranging, vehicle sonar, image acquisition and recognition, but for large vehicles, especially large cranes, this technology cannot be applied

1. The working condition of the crane is bad, dust, grease, mud, etc. make the image acquisition and recognition system unable to work

2. The road condition of the crane is extremely complicated, the vibration of wading through the pit is large, and it has been operated in the field for a long time. The above-mentioned road condition recognition system cannot guarantee reliability

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