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KNF-104A turbidity sensor, automatic cleaning turbidity sensor, IP68 waterproof certification
Turbidity meter, turbidity meter, turbidity sensor - KNF-104A is used for measuring water turbidity in industries such as water treatment (rivers, lak
Product details

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.

水质浊度传感器

Micro turbidity sensor, turbidity sensor-KNF-104A features:

  1. Equipped with automatic temperature compensation.
  2. Output standard RS485 digital signal.
  3. Rs485 signal facilitates connection to PLC DCS、 Third party devices such as industrial control computers, paperless recording instruments, or touch screens.
  4. Parameter settings are more convenient and efficient.
  5. The calibration function provides a simple and fast calibration method.
  6. Can be equipped with an IoT cloud platform
  7. 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℃

凯纳福物联网云平台


凯纳福水质检测平台软件著作权

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设备地图

Alarm settings报警设置

Data Download数据下载

Real time data viewing实时数据及曲线绘制


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