Realize the counting of earthwork vehicles with RFID technology

Earthwork transport vehicles mainly enter and exit construction sites, open-pit coal mines, or mining operation sites, where the environment is relatively harsh. They are often contaminated by dust, silt, etc., causing license plates to be obscured or soiled. In addition, these transport vehicles need to operate continuously for 24 hours a day. At night or when there is insufficient light, electronic license plates often cannot be recognized.

The traditional method of identifying license plates by parking and manually registering vehicle entry and exit times, transport counts, and other information is not only inefficient, prone to errors, omissions, or over-recording, but also involves human fraud, causing economic losses to enterprises and vehicle owners while also easily leading to conflicts and disputes. To solve the various drawbacks brought by manual counting methods, RFID technology is used for long-distance identification of earthwork vehicles. Without the need to stop or manual intervention, automatic and real-time collection of vehicle entry and exit times, transport counts, and other information can be achieved, improving the passage speed of earthwork vehicles and reducing economic losses caused by human errors and cheating. By affixing an electronic tag to the windshield of each earthwork vehicle that needs to be counted, and binding all vehicle information (license plate, driver information, etc.) with the RFID tag ID number, an RFID long-distance reader is installed at the entrance and exit of the earthwork project vehicles. When the vehicle passes through the reading range of the entrance and exit RFID reader, the RFID long-distance reader will automatically identify and obtain the data information in the RFID windshield tag on the vehicle, automatically collect and record and save the vehicle’s passage time, transport counts, and other data, facilitating later reference and statistics. The advantages of RFID earthwork vehicle counting are:

1. Solve the problem that license plates are obscured or soiled by dust, silt, etc., and electronic license plates cannot be identified.
2. Not limited by light, it can also identify and accurately collect vehicle entry and exit times, transport counts, and other information at night or when there is insufficient light.
3. No need for manual intervention, no need to stop for identification, improving passage speed, and eliminating economic losses caused by human errors and cheating.
   Automatic identification and collection of vehicle information facilitate later search and statistics, solving the pain points of low accuracy in manual counting, difficulty in review, and difficulty in financial accounting management.