IoT Platform / Energy, Air Quality and Water Quality monitoring

• User data is processed and provides an understandable usage screen
• Thanks to the user-friendly interfaces, the right information can be easily accessed
• Able to get notification via mail and platform when anomaly is detected in Air or Water quality data
• Usage of modern IoT software provided by Fiware

Input(s):

• Energy sensor data
• Air pollutant attributes from sensors
• Water pollutant attributes from sensors

Main feature(s):

• Energy management system is used as a recommended system to provide an optimal usage interval
• The proposed Energy algorithm shows the optimal time of cheaper cost state in the time interval set by the user
• It provides the possibility to monitor changes in sensor data
• Predicted air quality index values converted into categories such as very unhealty, hazardous, unhealty, sensitive group, moderate and good
• Analyzing and detecting abnormal values of the sensors for air quality is a crucial policy for health protection
• Detection of anomalies, sending warning messages and visualizing the sensor values helps to suppliers for management of the air quality
• Analyzing and detecting abnormal values of the sensors for drinking water is a crucial policy for health protection
• There are many types of charts that show the outputs of artificial intelligence algorithms to inform users
• Usage of Fiware components
• Can register sensor and device and send data to specific organizations

Output(s):

• Optimization plots are the visual output of the DQN algorithm and display the insight of the produced results
• It provides Highlevel monitoring and comparison interfaces
• Air quality index is predicted as output for determining the quality of the air
• Feedback is provided to the user if an anomaly occurs
• Detection of water quality anomalies, sending warning messages and visualizing the sensor values

Requires basic knowledge of IoT and sensors from the users.

Companies and personal users.

License required for the access optimization algorithms.