Aiming at the problem of equipment accuracy of ship-borne weighing systems in a ship environment, this paper proposes a weighing optimization system algorithm based on finite element analysis. Firstly, the finite element analysis of the ship-borne equipment system is carried out, and the stress analysis is carried out by grasping the characteristics of the sensor to find out the improvement of the weighing system and optimize it. Then, the improved and optimized weighing system is used to collect the data information under the typical swing state, and the neural network algorithm is introduced to dynamically compensate the data. Finally, the accuracy of the weighing system optimized by the algorithm is evaluated by using the environmental test standard of electrical and electronic products. The research results show that the accuracy of the result data of the weighing system optimized by the neural network algorithm is more than 99%, which proves that the proposed algorithm can improve the accuracy of the shipborne weighing system equipment.
weighing system; sensor; neural network; dynamically compensate; accuracy
