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Introduction “Evidence shows that air pollution at current levels in European cities is responsible for a significant burden of deaths, hospital admissions and exacerbation of symptoms”, as the World Health Organization (WHO) states. A clean air supply is essential to our own health and that of the environment. But since the industrial revolution, the quality of the air we breathe has deteriorated considerably, mainly as a result of human activities. In fact, while the hazardous properties of many common pollutants are still under intensive research, evidence-based policies demonstrate that health protection is possible and effective. Pollution monitoring and display to the citizens is essential to compare the impact of measures taken by municipalities and public institutions and raise public awareness. Smart Environment: control of air quality, CO2, pollution and toxic gases emissions on cities Solution IKUSI’s Smart Environment, supported by Spider Smart Cities’ solution and Libelium Sensors, provide a robust, scalable and real time platform which can manage a set of environmental parameters over a large area and show them, in an approachable way, to the city municipal supervisors. In addition, this data can be correlated with other data inputs, to make a bigger and smarter solution. All this data, collected by the deployed sensors along the city, can be used to show the air quality level, temperature, etc. in a specific point, estimate future emissions using past records and, in essence, improve air quality and reduce pollutant gases sent out to the atmosphere. Thus, contributing to environmental and citizens quality of life improvement. Specifically, IKUSI’s Smart Environment platform can show in a reliable way the following information: Functional features The main functions and characteristics offered by the Smart Environment solution are the following: Operational Air quality values collection in specific points. • Alarm triggering if detected out of range or abnormal values. Advanced reports and indicators for a comprehensive and overall KPI visualization of the managed city. Environmental safety • Detection of potential dangerous values and automatic alarm triggering. • Historical value log and correlation between the nearby environmental sensors as a possible support for automated fining process. Interoperability Integration with IKUSI’s Spider Smart City platform for data and information correlation and pattern identifying. CO (Carbon monoxide) CO2 (Carbon dioxide) Air Pressure • NO2 (Nitrogen dioxide) O3 (Ozone) • Temperature Relative humidity • Noise • Particles •…

Smart Environment

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Page 1: Smart Environment

Introduction“Evidence shows that air pollution at current levels in European cities is responsible for a significant burden of deaths, hospital admissions and exacerbation of symptoms”, as the World Health Organization (WHO) states.A clean air supply is essential to our own health and that of the environment. But since the industrial revolution, the quality of the air we breathe has deteriorated considerably, mainly as a result of human activities. In fact, while the hazardous properties of many common pollutants are still under intensive research, evidence-based policies demonstrate that health protection is possible and effective. Pollution monitoring and display to the citizens is essential to compare the impact of measures taken by municipalities and public institutions and raise public awareness.

Smart Environment: control of air quality, CO2, pollution and toxic gases emissions on cities

SolutionIKUSI’s Smart Environment, supported by Spider Smart Cities’ solution and Libelium Sensors, provide a robust, scalable and real time platform which can manage a set of environmental parameters over a large area and show them, in an approachable way, to the city municipal supervisors. In addition, this data can be correlated with other data inputs, to make a bigger and smarter solution.All this data, collected by the deployed sensors along the city, can be used to show the air quality level, temperature, etc. in a specific point, estimate future emissions using past records and, in essence, improve air quality and reduce pollutant gases sent out to the atmosphere. Thus, contributing to environmental and citizens quality of life improvement.

Specifically, IKUSI’s Smart Environment platform can show in a reliable way the following information:

Functional featuresThe main functions and characteristics offered by the Smart Environment solution are the following:

Operational• Air quality values collection in specific points.• Alarm triggering if detected out of range or abnormal values.• Advanced reports and indicators for a comprehensive and overall KPI

visualization of the managed city.Environmental safety• Detection of potential dangerous values and automatic alarm triggering.• Historical value log and correlation between the nearby environmental

sensors as a possible support for automated fining process.Interoperability• Integration with IKUSI’s Spider Smart City platform for data and information

correlation and pattern identifying.

• CO (Carbon monoxide)• CO2 (Carbon dioxide)• Air Pressure• NO2 (Nitrogen dioxide)• O3 (Ozone)

• Temperature

• Relative humidity• Noise• Particles• …

Page 2: Smart Environment

How does it work?The Smart Environment’s environmental sensors collect values from different kind of gases, pressure, temperature, noise and relative humidity along the city. This values are collected and merged in a Gateway, who pre-process and send them in real time to the Municipal Management Centre. Within the MMC is where the data is stored, processed and displayed in the Spider Smart Cities platform, allowing a holistic view of the city, providing a real time decision making platform.

Smart Environment: control of air quality, CO2, pollution and toxic gases emissions on cities

BenefitsCity• Improve tourists and first time visitors first impression of the city.• More sustainable city.• Raise public awareness.

Citizens• Increase citizens satisfaction.

Environment• Lessen greenhouse gases emissions.

1. Raw data collection

2. Data combination and pre-processing

4. Final data processing and display

3. Pre-processed data transmission