The invention relates to the technical field of agricultural machinery control, in particular to a tractor electro-hydraulic suspension intelligent control system based on deep learning, which comprises a data acquisition module, a data processing module, a deep learning module, a control module, an electro-hydraulic suspension control module and a prediction module, wherein the data acquisition module is used for acquiring multi-dimensional information data; the data processing module is used for generating feature data; the deep learning module is used for generating suspension control parameters; the control module is used for adjusting the working state of the electro-hydraulic suspension control module; the electro-hydraulic suspension control module is used for executing a specific suspension adjusting action; and the prediction module is used for predicting the future working environment and working condition and generating a pre-adjustment scheme. According to the invention, through deep learning and multi-modal data processing, real-time and accurate control and adaptive optimization of the tractor electro-hydraulic suspension system in a complex farmland environment are realized, and the operation efficiency and stability are significantly improved.
本发明涉及农业机械控制技术领域,具体涉及一种基于深度学习的拖拉机电液悬挂智能控制系统,包括数据采集模块、数据处理模块、深度学习模块、控制模块、电液悬挂控制模块以及预测模块;其中:数据采集模块:用于采集多维信息数据;数据处理模块:用于生成特征数据;深度学习模块:用于生成悬挂控制参数;控制模块:用于调节电液悬挂控制模块的工作状态;电液悬挂控制模块:用于执行具体的悬挂调节动作;预测模块:预测未来的工作环境和工况,并生成预调整方案。本发明,通过深度学习和多模态数据处理,实现了拖拉机电液悬挂系统在复杂农田环境中的实时、精确控制和自适应优化,显著提升了作业效率和稳定性。
Tractor electro-hydraulic suspension intelligent control system based on deep learning
一种基于深度学习的拖拉机电液悬挂智能控制系统
2024-10-11
Patent
Electronic Resource
Chinese
IPC: | B60G VEHICLE SUSPENSION ARRANGEMENTS , Radaufhängungen und Federungen für Fahrzeuge |
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