Our monitoring system collects data based on different circumstances with our custom sensors and stores them in a cloud database, which allows our users to access the data anytime anywhere.
Features
1. AI controlling
System design based on a hybrid of edge and cloud computing for all-rounded efficiency, able to select related indicators to analyse and determine actions needed and control automatically.
2. Preventive Maintenance
Continuously monitor and analyse data with machine learning to predict upcoming failures so that precaution measures can be taken.
3. Customised Self-developed Sensors
LoRaWAN sensors allow long range transmission with low power consumption and customisable to different usage scenarios.
4. Digitalised data storage
Data is collected with self-developed LoRaWAN/NBIoT sensors.Collected data is stored in a cloud database and processed with machine learning models in the cloud server for automated controlling and predictive maintenance.
5. User Interface
Data is displayed with various presentations according to clients’ need, with the ability to download historical data, generate reports and alerts for emergency situations.
