Fluorescence dissolved oxygen meter, dissolved oxygen meter, KNF-103A is suitable for various industries such as water treatment (rivers, lakes, drinking water sources, groundwater, etc.), aquaculture, environmental monitoring, CIP, etc. It adopts the principle of fluorescence measurement, Equipped with RS485 output, it can be easily integrated with the upper computer PLC to achieve real-time data collection and control functions.
No need for reagents, the sensor is plug and play for testing, and the later operating costs are relatively low. An automatic cleaning device can be optionally selected, greatly saving labor costs/time,Data can be obtained throughUpload RS485 output to the Kenaf IoT cloud platform for real-time data viewing.
Fluorescence dissolved oxygen analyzer, dissolved oxygen analyzer, KNF-103A function:
- 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.
- Real time data transmission allows you to obtain timely and accurate data on monitored water bodies.
- Equipped with an IoT cloud platform data management system
Fluorescence dissolved oxygen analyzer, dissolved oxygen analyzer, KNF-103A technical specifications:
measuring range |
0-20ml |
accuracy |
< ±0.5 mg/L |
Measurement repeatability |
< 0.3mg/L |
Zero offset |
< 0.2 mg/L |
resolution |
0.01mg/L |
Temperature measurement range |
0~60℃ |
temperature resolution | 0.01℃ | power supply |
9-12VDC |
operation temperature |
0.1~40℃ |
Length | 5 meters (customizable) |
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.