Views: 0 Author: Site Editor Publish Time: 2026-04-23 Origin: Site
The new generation of heavy-duty forks has entered the era of intelligence, from "passive execution" to "autonomous perception and intelligent decision-making".
Condition monitoring: built-in vibration, temperature, current, displacement, wear sensors, real-time acquisition of operating data.
Predictive maintenance: AI algorithms analyze trends, predict failures in advance, predict lifespan, and provide maintenance reminders to reduce unplanned downtime.
Adaptive control: automatically adjust torque, acceleration and deceleration, and synchronization parameters according to load size, partial load, and speed.
Digital twin: virtual mapping running in real time, remote monitoring, fault diagnosis, parameter optimization, simulation debugging.
Energy consumption optimization: energy recovery, light load power reduction, standby sleep, energy consumption reduced by 30% +.
Value: MTBF extension, 40% reduction in maintenance costs, 30% increase in efficiency, and significant improvement in security.
