Water turbidity sensor-KNF-104A is used for measuring water turbidity in industries such as water treatment (rivers, lakes, drinking water sources, groundwater, etc.), aquaculture, environmental monitoring, CIP, etc. It is used to measure water quality and has RS485 output, which can be easily integrated with the upper computer PLC to achieve real-time data collection and control.
Micro turbidity sensor, turbidity sensor-KNF-104A features:
- Equipped with automatic temperature compensation.
- Output standard RS485 digital signal.
- Rs485 signal facilitates connection to PLC DCS、 Third party devices such as industrial control computers, paperless recording instruments, or touch screens.
- Parameter settings are more convenient and efficient.
- The calibration function provides a simple and fast calibration method.
- Can be equipped with an IoT cloud platform
- Real time data transmission allows you to obtain timely and accurate data on monitored water bodies.
Range of measurement | 0-100//400/1000 NTU | refinedlinear measure |
5%FS |
resolution | 0.01/0.1NTU | measuring principle | 90 ° light scattering method |
protection grade | IP68 comes with a built-in cleaning brush | depth |
Underwater 10 meters |
temperature range | 0-50℃ | data output |
branchHolding RS-485, MODBUSagreement |
usage | Investment style | power supply |
DC 6~12V, Current<50mA(When not cleaning) |
size |
Φ33mm*172mm |
Length |
Standard 5m, customizable |
Shell material | POM |
storage temperature |
0-60℃ |
Turbidity meter, turbidity meter, turbidity sensor - KNF-104A can be equipped with cloud platform for online monitoring
Kenafu Technology's "IoT Monitoring Cloud Platform" is an efficient, stable, and secure application platform built between IoT applications and monitoring devices. It is device oriented, adaptable to multiple network environments and common data transmission protocols, and has strong practicality, ease of operation, and real-time data performance. It has multiple comparison methods for querying and has good data comparison effects. It is mainly divided into two parts: data query and device management.
Equipment map
Alarm settings
Data Download
Real time data viewing