January 31, 2012

Yesterday was a very special day as we received in Munich an award for the Bluetooth Worldwide Innovation Cup in the category “Automotive, entertainment and other” .
This has a special meaning for us as it validates our vision to build a global network of environmental monitoring sensors for citizens. Mobile phones are personal devices but our environment is a shared responsibility and concern. The Senspod family is growing quickly and there will be exciting announcements in the near future so stay tuned.

We thank the Bluetooth SIG and the members of the jury for this recognition, and for those of you that could not attend the ceremony at ISPO, here is our presentation.

December 10, 2011

After beta tests in 6 countries (out of 18 countries where Senspods are used), we are now releasing Senspod App.
Starting with EcoSense, you can now download software directly from the Android Market, install it on your Android devices and start making a difference for the environment in your city.
Simple steps:

- Scan the QR code,
- select install,
- launch the app,
- select your Senspod and enter 1111 for pairing.

Send your friends the web address to see your data live. You are done.

Current record is 1:48 (and that was even without any warm-up whatsoever).Can you top that ??

September 30, 2011

The Qatar University Wireless Innovations Centre (QUWIC) at the Qatar Science and Technology Park has unveiled two new systems that they say will deal with some of the significant logistics and systems management issues currently facing Qatari institutions.
Using its new Labeeb data processing system, QUWIC has launched Masarak, a comprehensive solution to provide real-time and historic traffic information in Qatar, and a user interface that will support services and applications using this information to address the needs of three market segments: government entities, enterprises, and consumers.
Users can access these systems through mobile device applications, web applications, voice, SMS and broadcast, and will allow users to monitor traffic congestion on an interactive map, as well as get directions between locations that factor in traffic flow, ease of use and distance. The system can monitor data from vehicles such as Mowasalat taxis and buses, and will also integrate data from cameras. QUWIC officials say that the system promises to assist with traffic congestion and monitoring, vehicle tracking, trip planning, dispatching and intelligent fleet management.

Users will be able to monitor air quality in real time on their mobile device According to QUWIC officials, strategic partnerships have been formed to create comprehensive business ‘eco-system’, including the Ministry of Municipality and Urban Planning, the Ministry of Interior and Traffic Department, Mowasalat, Qtel, Qatar University, and Qatar Foundation.
QUWIC has also partnered with Qatar Foundation’s HSSE Department, the Qatar Energy and Environment Research Institute and the Ministry of Environment to design and build its Qatar Air Pollution Surveillance System (QAPSS).
The system will use the Labeeb data processing technology to integrate data from air monitoring sensors that are set to be installed along Qatar’s roads with data from larger air quality monitoring stations at Qatar University, Education City, the Ministry of Environment and other locations around Doha.
QUWIC officials said that additional sensors can be installed at construction sites, smart cities, sports facilities and educational institutions as needed.
These stations will be monitoring levels of particulate matter, oxygen, carbon monoxide, carbon dioxide, nitrogen oxide, and sulphur oxide, as well as other atmospheric conditions such as temperature and humidity, all of which have an effect on human health.
QAPSS will help build a bank of historical and real time environmental data that will provide a clear map of air quality conditions around Doha, which will allow experts to advise on possible safety measures and government policies.
Users will also be able to monitor air quality conditions in real time on their mobile device through an application designed by QUWIC’s Mobile App Development Centre. QUWIC officials said that these systems were purpose built, and will continue to evolve to meet new challenges and tackle new problems as they come up. They are in a position to be flexible and adaptive, as these solutions have been built in-house and have not been brought in from institutions outside of Qatar.

Source:

September 24, 2011

We have been working on this topic for several years and thought it would be beneficial to gather and share in one location technical information pertaining to wireless sensors for urban environmental monitoring.

Here is a map of the projects/studies we are aware of, and we will constantly update it of course. If you are aware of other projects that we should add to this list, please send us information.


View Sensaris Environmental monitoring sensor network research in a larger map

Korea Seoul micro sensor node

air pollution based on geosensor network Korea

Portugal Solar powered air quality gps urban

EcoBus Serbia

Columbia CO augmented reality

India bus GPRS GPS Air sensing

Maqumon Vanderbilt

INTEL COMMON SENSE SAN FRANCISCO

common Sense novice users

Open Sense Zurich 1

Open Sense Zurich 2

Cambridge Message

VITO Noise and air quality sensor network

URBAN NETS KEAN UNIVERSITY

September 8, 2011

Air pollution causes nearly half a million premature deaths each year in the European Union. In busy cities, air quality is usually at its worst, with high concentrations of particulate matter (PM) and ozone. The average life expectancy of people living in the EU’s most polluted areas is reduced by over two years as a consequence of this. A lot can be done at a local level to avoid these emissions.
The European City Ranking is part of the “Soot-free for the Climate!” campaign.Its goal is to demonstrate that many local solutions to improve air quality exist and to find out how cities use these solutions, if at all. This ranking mainly focuses on efforts made to reduce particulate matter (PM10) and soot, or black carbon. However most measures looked at also help reduce other air pollutants, and can therefore serve as general examples for good air quality policy.

The top 3 cities are: Berlin, Copenhagen, Stockholm.
Then come: Vienna, Zurich, Amsterdam, Lyon, Glasgow, Graz, Paris.

These cities get a shameful F grade: Brussels, London,Madrid, Stuttgart, Dusseldorf, Milan, Rome.

When will your city start using Senspods ?

For more details:

August 10, 2011

Innovative uses of sensors can reduce city deficits. At a time when governments at all levels are looking for ways to reduce expenses, smart cities can lead the way: this week we will just start with two concrete examples:

Smart lighting:

The Netherlands’ Delft University of Technology is experimenting with a new streetlight system, in which motion sensor-equipped streetlights dim to 20 percent power when no people or moving vehicles are near them. The system is said to reduce energy consumption and CO2 emissions by up to 80 percent, plus it lowers maintenance costs and reduces light pollution.

Delft Management of Technology alumnus Chintan Shah designed the system, which can be added to any dimmable streetlight. The illumination comes from LED bulbs, which are triggered by motion sensors. As a person or car approaches, their movement is detected by the closest streetlight, and its output goes up to 100 percent. Because the lights are all wirelessly linked to one another, the surrounding lights also come on, and only go back down to 20 percent once the commuter has passed through. This essentially creates a “pool of light” that precedes and follows people wherever they go, so any thugs lurking in the area should be clearly visible well in advance.

The lights’ wireless communications system also allows them to automatically notify a central control room when failures (such as burnt-out bulbs) occur. This should make maintenance much simpler, as crews will know exactly where to go, and when.

Some fine-tuning is still ongoing, in order to keep the lights from being activated by things like swaying branches or wandering cats. In the meantime, Shah has formed a spin-off company named Tvilight to market the technology. He claims that municipalities utilizing the system should see it paying for itself within 3 to 4 years of use.

Source:

http://www.gizmag.com/motion-sensing-streetlight-system/19199/

Videos:

Smart lighting

Delft University technology pitch

 

Smart watering

 

At the Barcelona Digital Global congress in early June,, the City of Sant Cugat reported 20 % water savings using their new system and the next target is to reach 40 % savings !

 

It seems that sensor networks make more and more sense !! (To be continued……………)

 

August 4, 2011

 

The urban bicycle boom in Europe seems to be a steady trend, and there seems to be more benefits than just fitness and global warming. In Toulouse, France, Oramip (http://www.oramip.org) in charge of measuring air quality in the Midi-Pyrennees region,  conducted in 2008 and 2009 a very interesting study comparing the exposure to NOx, CO and fine particles for different modes of transportation.

Personal exposure for various transportation modes.

The main results are reproduced below:

  • NO2:nitrogen dioxide

Car:83 ppb (156 µg/m3)

Bicycle:12 ppb (22 µg/m3)

Pedestrian: 20 ppb (22 µg/m3)

Metro: 13 ppb (22 µg/m3)

Bus: 33 ppb (22 µg/m3)

 

  • CO: carbon monoxide

Car:1.05 ppm (1.2 mg/m3)

Bicycle:0.08 ppm (0.09 mg/m3)

Pedestrian: 0.120 ppm (0.14 mg/m3)

Metro: Too low to measure (0 mg/m3)

Bus: 0.03 ppm (0.03 mg/m3)

 

  • PM 10: fine particles

Car: 60 µg/m3

Bicycle:38 µg/m3

Pedestrian: 43 µg/m3

Metro: 292 µg/m3

Bus: 75 µg/m3

 

This is quite interesting as it shows that bicycling not only helps you stay stay fit, but also it is better for your lungs !

The results are consistent with work done in 2009 by Woodrow Pattinson at the University of Canterbury in New Zealand Cyclist exposure to traffic pollution: microscale variance, the impact of route choice and comparisons to other modal choices in two New Zealand cities which concludes:

 

“Final comparative exposure results largely agreed with those of international studies. The cyclist (on-road) fared relatively well against other modes. Carbon monoxide exposure for the car was around 2.6 and 2.3 times higher than both the cyclist and bus, in Christchurch and Auckland, respectively. Train exposure was lower still - by a factor of 4.3, compared to car. The cyclist was also the least exposed for ultrafine particles – by a factor of 1.6, compared to car and bus concentrations which were roughly the same.

There was not a lot of variation between modes for mean PM1.0-10 exposure. PM10 was highest for the cyclist in Auckland, but only 4% greater than bus, whereas this difference was 23% in Christchurch, in favour of the cyclist. The bus mode also had the highest mean exposure for PM2.5 and PM1.0 in Auckland, while the cyclist was slightly lower than car. The bus was also highest in Christchurch, followed by the cyclist and then the car. The higher levels in the bus are likely due to diesel self-pollution and intake of outside air through open windows and the continual opening of doors.»
The level of PM10 found for Auckand (See below)  is pretty close to that measured in Toulouse:

From these studies in two different hemispheres, one can clearly state that from every point of view, mayors of smart cities are right to encourage bicycling for their citizens…..To be continued.

Documents of interest:

Urban bicycle boom in Europe

Personal exposure to air pollution for various modes of transportation in Toulouse

July 27, 2011

If you are interested in various aspects of air quality monitoring, there is a new book online edited by Nicolás A. Mazzeo.

Human beings need to breathe oxygen diluted in certain quantity of inert gas for living. In the atmosphere, there is a gas mixture of, mainly, oxygen and nitrogen, in appropriate proportions. However, the air also contains other gases, vapours and aerosols that humans incorporate when breathing and whose composition and concentration vary spatially. Some of these are physiologically inert. Air pollution has become a problem of major concern in the last few decades as it has caused negative effects on human health, nature and properties. This book presents the results of research studies carried out by international researchers in seventeen chapters which can be grouped into two main sections: a) air quality monitoring and b) air quality assessment and management, and serves as a source of material for all those involved in the field, whether as a student, scientific researcher, industrialist, consultant, or government agency with responsibility in this area.

The book can be downloaded at this website:

Online book

July 1, 2011

News from the OpenSense project in Switzerland:

27.06.11 - Rather than installing stations on fixed towers, why not use mobile sensors spread out over the whole city to get better air quality measurements? OpenSense, a project run by four laboratories at EPFL and one at ETH Zurich, is studying the possibility of installing sensors on the roofs of buses and trams, thus taking advantage of already existing public transport and mobile phone networks. Testing is currently underway in Lausanne.

Measuring air quality using mobile sensors installed on buses, trams and taxis: this is the clever idea being developed in the OpenSense project. Using the data from these sensors, a person with asthma would know what time of day the pollution was at its lowest in the neighborhood, and thus pick this moment do his or her shopping, for example. Parents would know where to take their children to play on a summer day, because they would be aware of zones with low ozone concentrations…

This project, run by four laboratories at EPFL and one at ETH Zurich, is setting up a new infrastructure for measuring air quality that takes advantage of already existing networks, such as the public transport network. Mobile, secure, predictable, and spread out over a given area, buses are an ideal data collection base. The researchers thus have set themselves the tasks of designing climate and traffic-resistant sensors that can be placed on vehicles and organizing the networking of the information they collect, using mobile phones.

“The advantage of a sensor network like this is that you can collect more data in a much more evenly spread-out area than you can from the few fixed pollution measuring stations that are currently being used,” explains EPFL Professor and project leader Karl Aberer.

As a test, a box of sensors was installed on the roof of a bus that is part of the Lausanne Public Transport system and another was installed on a tram in Zurich. These devices are collecting atmospheric data, the presence and quantity of particulates and certain pollutants - ozone (O3), carbon dioxide (CO2), nitrogen dioxide (NO2), nitric acid (NO), sulfur dioxide (SO2), and volatile organic compounds (VOCs).

Towards practical applications

A second important objective of the project is to better involve and inform the public about the quality of the air they’re breathing. In order to more precisely determine the best and most concrete use of the data collected, a complementary study is being done with the Nokia Research Center in Lausanne (NRCL). It could be, for example, a warning service or a smartphone application for people who are more susceptible to variations in pollution levels – children, people with asthma, the elderly, or people with allergies.

Although the idea of the project seems simple, putting it into practice involves overcoming numerous scientific and technical difficulties. “Being able to precisely locate the sensors is very important for the reliability of the data produced,” explains Alcherio Martinoli, one of the four EPFL professors involved in the project. This localization can be done using GPS technologies. For EPFL professor Boi Faltings, head of the Artifical Intelligence Laboratory, it’s also a matter of “getting the sensors to take data only where it’s really useful.”

 

News Source

Initial project presentation:
Opensense project Overview

June 25, 2011

Geophysical Research Abstracts, Vol. 13, EGU2011-9410, 2011

G. Stewart, I. Mead, O. Popoola, M. Calleja, M. Hayes, J. Saffell, P.
Landshoff, and R. Jones

High-frequency measurements of nitrogen monoxide (NO), nitrogen dioxide (NO2) and carbon monoxide (CO) were made using a dense network of electrochemical sensors at urban sites in Cambridge from March – June 2011, with the aim to improve understanding of the behaviour of these species on fine spatial and temporal scales. Continued…