Smart Cities
Smart infrastucture monitoring
In terms of ICT, and particularly distributed systems and IoT, we provide an ecosystem of innovative technological solutions including sensor networks, RFID systems and pervasive computing middleware for monitoring Smart Water, Smart Air and Smart Waste.
The concept of our work is two fold and can be distinguished into ambient monitoring and supply chain monitoring:
- With respect to ambient monitoring, we deal with ambient sources of data, e.g. Smart Environment data streams i.e. physical properties of water (flow, quality), air (flow, quality) and earth (moisture);
- With supply chain monitoring we deal with mobile data sources, such as RFID-tagged medical wastes, that move through the various stages of a supply-chain typo process e.g. of collection and incineration and even of transformation into green products as part of circular economy.
Smart Air is a key focus area of our provided Services. Through our expertise, we guarantee adherence with health&safety guidelines and regulations in the workplace, product and worker protection in the industry, increase of productivity in the office and in the school as well as adherence with public health guidelines, such as the ones for covid-19, as the link between air quality and microorganisms is proven in the literature.
View our projects
Green Actions Monitoring Bay
An information system that simulates the life cycle of dangerous hospital wastes from their point of origin, at the various locations within the hospital, to their final disposal by incineration, using RFID technology.
READ MOREGreen actions monitoring Bay
Contractor: Datamed SA
Finance body: ESPA - GGET
Duration: 2014-2016
Short description
Hospital waste management is a collective term that includes the collection, transport, temporary storage, treatment and final disposal of Hospital wastes in order to render them innocuous to the environment.
Greenactions information system simulates the life cycle of dangerous hospital wastes containers from their point of origin, at the various locations within the hospital, to their final disposal by incineration, using RFID technology. The application is structured as a SOA architecture implemented in Java using OSGI technology.
The main components are a monitoring dashboard visualizing high level events and alerts, (following the life cycle of waste containers, i.e. a filled container was not delivered in time at the incineration site), an open source relational database and an RFID, event based middleware.
OneHealth Solutionsn the Green Actions Project was the development of the information system and the platform, the Greenactions Main Monitoring Bay
Air-19
Risk indicators for Covid -19 in indoor air, based on air quality measurements of particulate matter (PM), carbon dioxide (CO2), temperature and humidity, using novel sensor platform sytems.
READ MOREAir-19
Partners: OneHealth Solutions
Finance body: ADL
Duration: 2020-2022
Notes
ADL: Athens Digital Lab
Municipality of Athens
Short description
The object of the Air-19 project is the istallation of IoT sensor platforms for indoor air quality monitoring in selected municipal buildings of the Municipality of Athens
The sensor platforms use portable devices equipped with low cost, certified sensors for the detection of air pollutants. The typical device is equipped with sensors measuring suspended micro-particles, carbon dioxide, temperature and humidity. The sensors are very sensitive, able to detect very low concentration of gases and particles in the order of particles-per-billion. The sensor platform system also includes a wireless network for the communication of data and a cloud service for data processing and data visualization.
The telemetering and display information system takes 1 measurement every 10 seconds. Data are processed, stored and sent using a network protocol (WiFi, mobile network) to an internet application (platform) stored on a cloud server. On the internet platform data are displayed either as time-series (raw data) or processed as risk indicators. Risk indicators are displayed using a suitable color scale, (red for high risk, orange for intermediate risk, green for low risk).
Measurements will have a high time-spatial coverage and will be used to calculate risk indicators for Covid-19 in real time. The following risk indicators will be calculated: Over-crowding indicator, aeration efficiency indicator, covid-19 contamination risk indicator and aggregated exposure indicator.
This information will be communicated to the public through display screens in public spaces. Municipality employees and other stakeholders will be able to view data in a computer browser or smart mobile at a specified HTTP address. The system will be able to send alerts when bad air quality data are recorded or when limit indicator values are exceeded. Thus immediate action measures can be applied, i.e. opening windows to increase ventilation or air exchange measures, or limiting the number of people present in the specific room.
Two pilot demonstrations of the sensor platforms will be run for a period of six months in two municipality buildings.
Smart, Dairy Buildings
Integrated Monitoring of Indoor Environmental Quality (IEQ) in the dairy industry using wireless sensor networks (WSN) and the Internet of Things (IoT).
READ MORESmart dairy buildings
Contractor: OneHealth Solutions
Finance body: Campina
Duration: 2018-2020
Notes
ICCS: Institute of Communication
and Computer Systems - NTUA
Short description
This project addresses the “Sick Building” problem, as defined by WHO, catering for the specific domain of the dairy industry. The IoT sensor platform is developed and demostrated.
The product comprises of air quality sensor boxes, embedded software and cloud analytics for Indoor Environmental Quality (IEQ) sensor measurements, using the Internet of Things paradigm, thus contributing to a healthy and comfortable living in a Smart Building.
Two different cases of local industrial IoT networking and communication protocols were considered, for communication with a remote server: (a) Wi-Fi, (b) Industrial Ethernet. In the Wi-Fi case, the sensors are integrated with a single-board computer that acts as home box and gateway. The gateway forwards sensor measurements to the cloud-based IoT server via the local Wi-Fi network, for further processing.
For processing sensor data, the following software was developed: (a) Software embedded in the gateway that is responsible for processing, and learning from sensor measurements, (b) a cloud-based software that stores and visualises results, using standardised IoT interfaces retrieval by users and (c) a cloud-based software for multi-parameter analytics of generated results.
Three different types of sensor boxes were developed, (a) IoT PM, that measures particulate matter (PM) concentration and mass, as well as temperature and humidity (b) IoT DP, that measures differential pressure and temperature, (c) IoT HP, that measures hydrogen peroxide conecentrations.
In all 16 sensor boxes were installed in three different process rooms of the dairy industry, 3 of which were installed outdoors.