Iquadrat participates in the MWC2019
Iquadrat is an ICT company that innovates in a wide range of disciplines in the area of telecommunications. Using 5G enablers, including multi-access edge computing (MEC) that brings application hosting from the cloud near the user for lower latency, and network function virtualization (NFV) for dynamic network configuration based on the traffic, we provide cutting-edge IoT solutions for smart motoring, water management, and energy sharing.
To showcase our smart monitoring solution, we demonstrate a smart building equipped with various IoT sensors and actuators to ensure comfortable living conditions, energy efficiency, and safety with secure and fast property entry.
PHASE I – ENTRY WITH FACE RECOGNITION
The visitor or the owner of the house presses the bell to initialize our face recognition entry to the house. If you step into the frame, you will see that our system does not recognize you since you are not registered in our database. If, instead, one of the house occupants enters the camera frame, we expect a set of automated services. First, the face recognition system will identify and welcome the person at the mini screen. Then, the door will automatically open together with the lights of the living room. If the occupant stays in the living room, the TV set will automatically turn on to the main screen.
PHASE II – SMART MONITORING AND CONTROL
Once inside the house, the occupant can take advantage of the home assistant through any connected smart device. As we can observe, in the top of the homepage, we have an overview of the main sensors that monitor the house. Then, in the overview, we can see the exact positions of the sensors and actuators letting us also to interact with them. For instance, you can open the bedroom or living room lights. Also, we can interact with the thermostat, the music, get information about the weather, control lights, the fans or the door, etc. Also, we can have separate control of each room through the different views. For example, in the living room, we can interact with the lights, in the bedroom view, we can open the window or turn on/off the lights, while in the bathroom and garage we can monitor the current temperature, humidity or carbon dioxide conditions. Moreover, in the garden view, we can watch the camera at the entrance and control the lights.
PHASE III – FIRE ALARM SCENARIO
Finally, in order to ensure the safety in the smart monitoring solution, we present a use case in which there is a fire in the kitchen. When the sensors identify a fire, a set of actuations occur in order to prevent unpleasant situations. For example, the resident is informed through sound alarms, optical alarms in the TV and the lights, the door opens and the fire department is automatically informed for the incident.
Regarding the underlying technologies of our solution, at the field layer, we utilize WiFi/Bluetooth custom inhouse-built nodes that constantly receive measurements from the various sensors and transmit MQTT messages to the IoT gateway. The IoT gateway is connected to the internet and delivers these measurements either at the cloud or at an edge node (MEC), which will be placed in the neighborhood and will be able to support and process the services with ultra-low latency not for just one building, but for a block of houses. Moreover, in our architecture, we utilize NFV in order to migrate the various functions between the cloud and the MEC based on the current resources in each side and the traffic. Finally, an orchestrator is responsible for the lifecycle of the services including instantiation, scale-out/in to ensure scalability, and guarantees a smooth network operation at low latencies with high availability and reliability.
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