Monitor oxygen levels

Dissolved Oxygen Sensor – IPROBE-4400-0003

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Sensor Overview

The Sentinel (RS-485) DO dissolved oxygen sensor uses advanced fluorescence quenching technology. When the blue light emitted by the sensor illuminates the fluorescent substance on the fluorescent cap, the fluorescent substance is excited to emit red light, and since the oxygen molecule can carry away the energy (quenching effect), the time and intensity of the excited red light and the concentration of the oxygen molecule become in inverse proportion, the concentration of dissolved oxygen in water can be obtained by calculation.


This product is widely used in the DO online monitoring of the regulating tank, biochemical tank and effluent of sewage treatment plant. DO online monitoring in waterworks, surface water, water used in various industrial production processes, aquaculture and other industries.

Cloud Connectivity

The sensor communicates using WiFi Protocols (IEEE 802.11b/g/n). A keep feature of our WiFi communication is that it supports a myriad of encryption including WEP, WPA/WPA2, PEAP, EAPTLS.

Therefore, our sensors can easily operate in any corporate or enterprise network. On board data storage with the store-and-forward feature prevents any data loss in case of network problems. Use of WiFi eliminates the need for any gateway device. The sensors can communicate directly to the Cloud.

Remote Monitoring

From the cloud the sensors data is moved to a dashboard for data visualization, alerting and reporting. Alerting engine includes emails and text messages with escalations. Custom reporting features, for any particular domain, can be created on the dashboard.

Another unique feature of the dashboard is to track annual sensor certifications and validation procedures. In addition the ability to visualize assets and its maintenance procedures is very useful. Custom workflows can be implemented.

The IoT cloud platform is unique because it has an ingestion engine that supports virtually unlimited number of sensors across a distributed network over many locations.Ā An additional benefit of this platform is the possibility for users to develop prediction models for a particular use case using the AI and machine learning modules.