Does a truck scale need someone to monitor the measurement for a long time?

With the development of Internet of Things technology and intelligent weighing systems, modern truck scales have gradually gotten rid of the traditional manual mode and transformed towards unmanned, automated and intelligent. Unmanned truck scales integrate sensors, automatic identification systems, video surveillance, anti-cheating modules and cloud management platforms to achieve full-process automatic measurement and remote supervision, without the need for personnel to stay on site for a long time.
In the traditional mode, truck scales require manual verification of vehicle information, operation of weighing instruments, data recording and supervision of cheating behaviors, which has problems such as low efficiency, easy errors and high labor costs. The current mainstream unmanned system can automatically complete vehicle identity authentication, weight collection, data upload and abnormal alarm through technologies such as license plate recognition, RFID electronic tags, infrared positioning, and automatic gates.
However, complete unmanned operation still requires supporting management measures. Although there is no need for long-term on-site personnel, it is necessary to view the weighing video, sensor status and abnormal alarms (such as edge cheating, remote control interference, etc.) in real time through the remote monitoring center. For special scenarios (such as transportation of hazardous chemicals or high-value goods), it is recommended to adopt a semi-automated mode and retain the authority for manual spot checks.
In general, the monitoring requirements of modern vehicle scales have shifted from "manual monitoring" to "technical supervision", the core of which is to select an adaptive intelligent system and establish a sound data security mechanism.