By Julie Spitkovsky, Netronix, Inc., September 24th, 2017
Internet of Things (IoT) platform provider Netronix, Inc. and Airthinx Inc. a leader of indoor air quality monitoring, are working together to provide cities around the world with a low cost cloud based solution designed to monitor air quality across schools, universities, hospitals and work spaces. The advantages of cloud based solutions are mapping, tracking, identification of pollutants, measurement of pollutants, data analytics using historical trends, and data mining. Cities stand to benefit from ubiquitous long term monitoring and management of air quality, in real time with instantaneous data available for quick city wide propagation, like geo-mapping incident reports of high pollution areas.
Municipalities are hard pressed to find low cost solutions. Conventional methods for collecting indoor air quality data relied heavily on expensive stationary devices. In the United States, for example, the federal government has a network of sensors on towers monitoring particulate matter. The cost of each sensor is $100,000. While in Edinburgh, the city had a single station monitoring PM 2.5 as of 2013. Thus data is collected from only a few instruments but is representative of a broad geographic area.
Moving away from conventional methods, many cities are implementing short term initiatives as first steps towards smart city transformation. In 2014, Chicago deployed 50 nodes mounted on lampposts developed with Argonne National Library and the Chicago Department of Innovation and Technology. Barcelona deployed a smart lighting system with embedded air quality sensors that relay information to city agencies and the public as part of their smart city initiative costing in total $230 million. Boston, Los Angeles, and Miami installed park benches equipped with a solar panel that channel electricity via USB ports to charge. Denver in partnership with Google and the Environmental Defense Fund (EDF) attached mobile sensors to cars throughout a city, collecting 150 million data points over 750 hours of driving time, creating a street level air quality map of the city. Dublin fitted 30 bikes with air sensors measuring carbon dioxide, carbon monoxide, smoke, and particulates.
Last year, London attached air quality sensors to ten pigeons to monitor air quality over three days of flights. Louisville gave 300 local residents a sensor that fits on top of their inhaler, tracking locations of inhaler use to help residents manage asthma, collecting 5,400 data points over the 13 months, and identifying hotspots with high inhaler use in order to pinpoint areas with particularly bad air quality.
Philadelphia begins the smart city transformation process with its most recent initiative to release open data from city departments. Mayor Kenney also points to ownership and accessibility of light poles and city buildings which can accommodate sensors and wireless access points spread throughout the city. With institutional players like Drexel, Penn, Wharton, CHOP & Comcast, the infrastructure to implement smart city solutions is in place.
Dr. Nasis, founder and CEO of Netronix, Inc. and faculty member of electrical & computer engineering at Drexel, shares insight into the transformation process. “A smart city is a segment of IoT. Many have looked at the smart city as a vertical market on its own, when actually it is a horizontal market with many verticals below it, such as safety, environmental, healthcare, energy, and transportation.”
In the environmental vertical, cities can monitor air quality, water quality and weather. Across the safety vertical, meters already exist that detect gunshots to determine the precise location of the incident helping address crime prevention. Energy, another vertical, can be optimized in street lighting and power plants to keep consumption down. And in the transportation vertical, parking, bus, and traffic can be monitored to enhance quality of life.
‘Many have looked at the smart city as a vertical market on its own, when actually it is a horizontal market with many verticals below it.’
A significant challenge of smart cities is having the tools to address compatibility within and between each vertical. Dr. Nasis cites a “holistic approach, rather than filling in the holes.” The smart parking meter experiment is an IoT solution but also an example of ‘filling in the holes.’ Without an overarching smart city horizontal in place, the initiative did not work. Dr. Nasis concludes, “for a successful smart city, each vertical and the needs of each vertical must be defined, and that requires systemic planning.”
Netronix Ventures, LLC, a subsidiary of Netronix, based out of Philadelphia, aims to start up 100 companies in the next decade using Netronix’s IoT platform. Smart city solutions can be developed in record time, saving 75 percent of the time and costs associated with the development and production of devices and services using conventional methods.
The IoT is about sharing things, interacting, and learning. An information gap leads to a certain kind of decision making. A smart platform creates opportunities to make more informed choices when investing in the city. The smart part is how you collect and make use of the intelligence. By breaking the information gap, the result is a better understanding, more thorough assessment of exposure, heightened awareness, and a complete picture of the data.
Today, the means for large scale and rapid deployment of tens of thousands of devices transforms air quality monitoring and facilitates the collection of quantitative data in any infrastructure. As a direct result of the IoT, a new paradigm emerges in air quality monitoring leading to the much-needed democratization of air quality data. Knowing about the quality of the air you breathe or the water you drink pushes people to take social responsibility.
A significant cost to a smart city transformation is the installation process. 70 percent of city officials say budget constraints are the greatest barrier to adopting smart city solutions. In many cities, a complete overhaul poses a lofty price tag associated with the redesign of buildings and infrastructure. A cloud based solution with deployment of IoT enabled devices eliminates the once costly installation, configuration and calibration associated with industry reference instruments.
Such a significant reduction in overhead and cost per unit lowers the price of the device to a fraction of industrial reference instruments. Cities benefit from investment because there is no need to redesign infrastructure in order to adopt IAQ solutions as part of a widespread smart city plan. One incentive is real time data that anticipates future needs. For example, with built in GPS, the locations of sensors take into account the points in the city with the most exposure to air quality hazards, protecting city dwellers and workers. The data can also be reviewed by a team to determine appropriate next steps. Monitoring air quality becomes financially feasible at room level in any infrastructure.
But even with such advancements, few sensors produce reliable enough data to be used in studies or by regulations. In comparison to static monitoring, continuous monitoring enhances high temporal-spatial resolution and variability of air pollution, which so far has been difficult to address. These characteristics, the level of accuracy, precision and identification of microscopic particles in the air, are distinguishing characteristics of air quality monitors in the market. The ability to continuously monitor air quality levels in any infrastructure while preserving the integrity of the measurements, and producing never before seen analytics and information, creates better indoor environments, everywhere in the world.
Dr. Vasileios Nasis will be presenting at the Wharton IGEL & SUEZ Conference – Smart Utilities: Bridge to Smart Cities of the Future on September 27.