Dynamic weighing technology serves as a key method for achieving online detection of discrete materials in industrial production lines, and its core challenge lies in how to accurately extract weight information from sensor signals with strong noise and multiple interferences. This paper systematically investigates dynamic weighing signal processing techniques to address the problems of complex dynamic characteristics of the weighing sensor, the susceptibility of its input response to vibration interference, and signal nonlinear distortion in dynamic weighing systems. First, this paper establishes a dynamic model of the checkweighing system and analyzes the force-to-electricity conversion mechanism and response characteristics of the weighing sensor under dynamic excitation. Second, this paper designs a test scheme for the characteristic parameters of the weight signal and obtains the time-frequency response characteristics of the sensor under typical inputs such as ramps. Third, this paper designs a digital filtering strategy with high real-time performance to target the interference signal frequency with the largest amplitude in the signal. Finally, this paper proposes a correction algorithm with strong real-time capability to address the zero offset, measurement sensitivity, and nonlinear error of the measurement system. Experimental results show that the designed signal processing system performs well in processing dynamic weighing signals for materials ranging from 50 g to 140 g at a conveyor speed of 1.5 m/s, with a relative error of ≤1.5%, effectively meeting the engineering requirements for high-speed and high-precision weighing of discrete materials.

Ping Li, Dong Wang. Experimental Study on Dynamic Weighing Signal Processing System. Academic Journal of Engineering and Technology Science (2026), Vol. 9, Issue 3: 158-164. https://doi.org/10.25236/AJETS.2026.090320.

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