Smart City Air and Water Health Monitoring
  • Solution Deployment Size:

      50+ sensors
  • Solution Type:

      Subscription Based or On-Premise
  • Key Business Requirements:

      Air pollution data must be monitored and publicly available.
      Water pollution must be controlled and monitored.
      Noise pollution monitoring is required to improve city safety and comfort.
      Access to transparent data is needed by the public.
  • Other Usage Categories:

      Aquaculture
      Agriculture
      Smart Buildings
  • KPIs

      % Increase in Tourism Revenue
      % Decrease in Citizen Noise Complaints
      % Decrease in Air Pollution
      % Decrease in Water Pollution
      Improved Quality of Life
      Improved Public Accountability
  • Data Monitored:

      CO (Air), NO2 (Air), O3 (Air), SO2 (Air), PH (Water), Conductivity (Water), ORP (Water), Noise Level (Air)
  • Solution Tags:

      Tourism, Air Pollution Monitoring, Noise Pollution Monitoring, City government accountability
  • Regulations Addressed by Solution:

Business Case / Problem:
  • Noise, air and water pollution can have severe, permanent effects on the tourism (and other) industries near and inside of a town
  • Noise, air and water pollution can have serious adverse affects on the quality of life of citizens
  • Without publicly available, up-to-date data on key city-wide data, emergency services and city planners can be slow to respond to problems
  • The public needs data related to their town and neighborhoods in order to keep government accountable
Solution Overview:
  • Air sensor nodes are deployed across the town to measure various indicators of air pollution.
  • Water sensors are deployed in areas where water quality is mission critical (beaches, fisheries)
  • Noise pollution is measured by auditory sensors deployed alongside air sensors on a per neighborhood basis
  • Data is collected, monitored, analyzed and visualized via the Thing+ platform to promote citizen’s welfare
System Diagram & Hardware Used:

(Sensor Node) Libelium Plug & Sense! Smart Environment PRO

(Sensor Package) Libelium Smart Environment Sensor Package (CO, NO2, O3, SO2, Noise)

(Sensor Node) Libelium Plug & Sense! Smart Water solution

(Sensor Package) Libelium Smart Water Sensor Package (PH, Conductivity, ORP)(Network) SIGFOX LPWAN Network

Installation Process Overview:

1. Hardware selection based on specific customer requirements. Basic setup and testing of devices.

2. Calibration of sensors and initial data testing on Thing+.

3. Placement of sensor nodes in locations across the area where air / water / noise levels will be monitored.

4. Sensor nodes will directly connect to the Sigfox network, and through it, Thing+. Confirmation & testing of correct data connection is done.

5. Thing+ dashboard, rules and site admin/user hierarchy are set up at this point following the needs of the project. Organization of devices in Thing+ is also done at this time.

6. Rule automation and values are tested to ensure emails/sms/etc.. Are correctly being sent to operators and stakeholders.

7. Public-facing application is also tested at this point in the project. (If the dashboard is not being directly used to display city data)

8. Integration of sensor data and Thing+ based rules to existing city emergency / information systems is done, if this solution is being deployed on-premise (usually to the city government). The Thing+ API is usually used for this purpose. This may also require support from the Thing+ development team in some cases depending on needed functionality.

Automation & Rules Guide :
Example Rule #1: NO2 concentration at harmful levels

Trigger: NO2 concentration > 40

Action: Send warning email to operators and send web-push to public-facing website to indicate dangerous levels of NO2

Example Rule #2: O3 concentration at harmful levels

Trigger: O3 concentration > 0.070

Action: Send warning email to operators and send web-push to public-facing website to indicate dangerous levels of O3

Example Rule #3: SO2 concentration at harmful levels

Trigger: SO2 concentration > 5

Action: Send warning email to operators and send web-push to public-facing website to indicate dangerous levels of SO2

Example Rule #4: Noise level in neighborhood reaches uncomfortable levels

Trigger: Averaged Noise > 92 dB

Action: Send warning email to operators and send web-push to public-facing website in displaying average noise across a neighborhood

Example Rule #5: PH & Conductivity of beach water indicate problems

Trigger: PH > 8.5

Condition: Conductivity > 0.5

Action: Send warning email to operators and send web-push to public-facing website in showing beach water quality

Example Rule #6: ORP values are higher than normal

Trigger: ORP 5+% higher than monthly moving average

Action: Send warning email to operators and send web-push to public-facing website in showing beach water quality

Impact on Operations:
  • Operators should use visualizations of the air and water to inform decisions on public policy and policing
  • Data monitored should be used and displayed to the public through an openly accessible website or directly via Thing+
  • Automation rules and the dashboard should be changed when needed to fit changes and updates to the values that the city considers acceptable
Recommended Data Analysis Options:

Example Data Analysis #1

Data: Air quality indicators (CO/NO2/etc..) & Water quality indicators

Time period: 7-180 days

Goal: Discover sources and concentrations of air pollution across a large urban area in order to eliminate them or improve conditions

Usage:

  • Using tags, download data directly from air quality sensor nodes for visualization
  • Manual examination of data can also be done using the data analysis tab on Thing+ but may take longer

Example Data Analysis #2

Data: Noise levels

Time period: 7-180 days

Goal: Discover times of day when noise reaches levels uncomfortable to residents/citizens and identify abnormally noisy areas

Usage:

  • Noise levels can be compared across the city either through downloading the data and using a data visualizer or can be directly compared using the data analysis tab on Thing+
  • Noise spikes and abnormalities can be determined on a location by location basis by adding multiple sensors to the data analysis tab
Solution Assumptions:
  • The SIGFOX LPWAN network should be available in the area before installation of the solution
  • A network plan should be negotiated and in place with SIGFOX before installation
Support & Maintenance Requirements:
  • Water sensors need to be tested and/or recalibrated every ~6 months. Specific requirements are laid out in the hardware partner’s documentation
  • Air and Acoustic Sensors should be checked yearly for calibration as well as for correct function of the battery and solar panel (panel may need to be cleaned for example)
  • Some clients may require support and assistance in analyzing raw data and producing actionable data at the city level – in some cases, this solution is deployed along with the support of a city development expert’s consulting

Providers/Installers of this Solution:

Solution Extensions:

  • Street lighting control based on people/car-detection system