The parameters, specifications, dimensions, weight, series, features and functions of ABB DSQC313 are as follows:
Parameters and specifications:
Accuracy: ±0.5% reading (flow rate >0.3m/s, field calibration); ±1.0% reading (flow rate >0.3m/s, no need for field calibration); ±0.003m/s accuracy error (when flow rate <0.3m/S).
Measuring range: Can measure very low flow, up to the limit flow rate of 0.01m/s.
Sensor pipe diameter planning: The applicable pipe diameter planning ranges from 20mm to 4000mm.
Power supply: Built-in rechargeable battery, charging power supply is 220VAC 50HZ ~ 60HZ±15%@5VAmax.
Size:
The exact size of the product may vary by version and configuration, but according to some sources, it is 15.0 inches (381mm) wide, 12.0 inches (304.8mm) high, and 25 inches (635mm) deep.
Weight:
According to some sources, the DSQC313 weighs 2KG.
Series:
The DSQC313 is a module in ABB’s industrial automation portfolio. It may be used in conjunction with other ABB PLC modules and sensors to achieve the overall functionality and performance of industrial automation systems.
Features:
Multi-channel design: It has a variety of channel sizes such as 30nm, 50nm, 80nm, 100nm, and supports four-channel simultaneous counting.
Flow rate control: up to 80 ml/min.
Display: Built-in color touch display for easy operation and monitoring.
Communication interface: Support RS-232 via RJ45 to PC, RS-485 and other communication modes, easy to communicate with the host computer or other devices.
Shell: Stainless steel structure, with NEMA shell, to meet a certain level of protection requirements.
Functions:
Flow monitoring and control: DSQC313 is mainly used for flow rate and flow monitoring and control of fluids (such as water, deionized water, etc.) to ensure the normal operation of industrial automation systems.
System integration: As part of the PLC module, it can be integrated with other PLC modules, sensors and actuators to achieve complex automated control tasks.
Data recording and analysis: Through its high-precision measurement and recording functions, fluid flow data can be collected and analyzed to provide data support for the optimization of production processes.
