Posture configuration optimization method and system for folding booms of the pump truck under life extension control

The service process of the pump truck typically requires subjective control of the folding boom to achieve the desired pouring position. However, such the posture of the boom controlled by the operator's experience, can lead to additional fatigue damage, ultimately reducing the fatigue life of the boom structure. To address this issue, this paper proposes a posture configuration optimization method for folding booms of the pump truck under life extension control. A multifunctional integrated system platform has also been developed. First, the dataset of "behavioral-performance" characteristics for the folding booms of the pump truck is obtained using a synergistic method of "acquisition-simulation-correction". After evaluating the fatigue life, the dataset is transformed into a fatigue life sample dataset. The Extra Trees model, enhanced by Bayesian Optimization, is then developed to realize rapid predictions of fatigue life for various boom postures. Second, the posture configuration optimization model for the boom is developed with two primary objectives: maximizing fatigue life and minimizing the distance between the end of the boom and the pouring point. Subsequently, the optimization model is solved using the improved Ant Colony Algorithm. This configuration optimization yields the optimal boom posture for a specific pouring point. Finally, the "posture configuration system for the folding booms of the pump truck under life extension control" is constructed through algorithm encapsulation and function integration. This system provides a visual and interactive intelligent computing platform for the aforementioned processes.