The SeeZol wheel loader weighing system（wheel loader scale） has achieved a breakthrough upgrade in the field of measurement through the integration of 5G+AI technology. The core of the system adopts a multi-source heterogeneous data processing architecture. On the basis of the original dual sensors (oil pressure/position), it integrates a 5G communication module (supports NSA/SA dual-mode, uplink rate ≥200Mbps), which can transmit operation data to the cloud management platform in real time. The AI algorithm layer deploys convolutional neural networks (CNN) and long short-term memory networks (LSTM). The dynamic compensation model established through 20,000 sets of working condition data training improves the weighing accuracy to ±0.7%, which is 40% lower than the traditional system error.

The system innovatively develops a three-dimensional perception compensation algorithm: using 5G edge computing nodes to analyze the bucket motion trajectory in real time (sampling frequency 500Hz), combined with the hydraulic oil temperature-viscosity relationship AI prediction model, automatically compensates for the measurement deviation caused by thermal deformation. The 5G module supports remote OTA upgrades, and the newly trained weight recognition model can be sent down through the cloud (model update delay <200ms). The industrial-grade AI coprocessor (computing power 4TOPS) realizes self-optimization of the loading process. According to measured data, the lifting speed can be dynamically adjusted to reduce energy consumption by 12%, while ensuring a stable measurement accuracy of ±1.5%.

The intelligent breakthrough of this system is reflected in the construction of autonomous decision-making capabilities. The AI engine predictably maintains hydraulic components and automatically calibrates the sensor zero point by analyzing historical operation data (storage capacity expanded to 5,000 groups). At present, deep coupling with the smart construction site system has been achieved, and weighing data can be synchronously transmitted to the dispatching center through the 5G private network, supporting loading efficiency digital twin modeling. The technical system has passed the German PTB certification and is expanding the application of autonomous driving loading scenarios.