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Brand Name : Hengliang
Model Number : ZQS-40-SY
Certification : ISO
Place of Origin : Zhenghou`China
MOQ : 1 SET
Price : USD 20000-35000/SET
Payment Terms : T/T
Supply Ability : 30 SET/Month
Delivery Time : 5~7days
Packaging Details : Wooden box
Type : Weigh In Motion Truck Scale
Working voltage : AC 220V
Weighing accuracy : 90%~97%
Speed rate : 0.5~105km/h
Single axle load : 40Ton
Max single axle load : 60Ton
Division value : 50kg
MTBF : ≥20000h
Temperature range : -45~+80℃
Protection level : IP68
Max Single Axle 60T High Speed WIM System & Load Cell System
When vehicle enters the dynamic weighing region, it has also entered the license plate recognition place, the system will recognize vehicle license plate, and the result could be uploaded to the software system of detection station. Detection station software system matching the uploaded vehicle license plate data with vehicle weighing data, and according to the requirements of overloaded vehicles discriminant standard set up transfinite limit, automatic identifying whether the vehicle is overweight or overspending. If vehicles overrun, according to the user’s settings, can provide prompt information to external display device. Every car will form a complete car information, including vehicle speed, axle load, the number of shaft, wheelbase, vehicle weight, license plate, the speed of the car, over time, whether overrun, and upload to the sub-center database, convenient for searching, sharing and analysis car record.
Product Parameters
Weighing accuracy | 90%~97% |
Single axle load | 40Ton |
Max Load | 60Ton |
Speed | 0.5~105km/h; |
Speed error | ≤±1km/h |
Wheelbase error | ≤±100mm |
Working voltage | AC 220V 50Hz |
Output information | Speed, total weight, axle load, axle number, wheelbase, vehicle type and passing time |
Maximum number of lanes | 8 lanes |
Data storage | It can store up to 10000 pieces of vehicle information data |
data interface | RJ485 |
work environment | -45℃~80℃,0~95% |
Confidence | ≥95% |
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AC220V 50Hz Weight In Motion System IP68 Overweight Identifying Images |