KNF-108COD sensor, mainlyused for The determination and early warning of chemical oxygen demand in various industries such as water treatment (rivers, lakes, drinking water sources, groundwater, water purification, etc.), aquaculture, environmental monitoring, CIP, etc., to help evaluate water quality.

No need for reagents, no secondary pollution, more economical and environmentally friendly. It can continuously monitor water quality online, automatically compensate for turbidity interference, and has an automatic cleaning device. Even long-term monitoring still has good stability.

KNF108 COD sensorAdopting dual wavelengths of 254nm and 365nmRoad light sourceIt can automatically correct the interference of suspended substances,Equipped with automatic temperature compensation,Thus achieving more stable and reliable measurement values.

Optical COD sensor, miniature COD sensor[KNF-108] 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. Real time data transmission allows you to obtain timely and accurate data on monitored water bodies.
7. Can be equipped with an IoT cloud platform

KNF-108 Optical COD Sensor, Micro COD Sensor Technical Specifications:

Sensor installation method:

1. Install a cable protection sleeve outside the sensor cable.
2. Fix the sensor according to the following diagram:
3. Fixed firmly, the sensor needs to be placed horizontally.

Optical COD sensor, miniature COD sensorKNF-108Can be equipped with cloud platformon-line 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.

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