Smart Building Automation and HVAC Control
  • Solution Deployment Size:

      50+ sensors
  • Solution Type:

      Subscription Based or On-Premise
  • Key Business Requirements:

      Monitor environmental conditions in buildings to reduce wasted energy and improve quality of environment for occupants
      Centralize security-related data and enable immediate access to it in real-time and historically
      Monitor energy usage and performance of high-energy consumption systems
  • Other Usage Categories:

      Smart Building
      Building Renovation
  • KPIs

      % Reduction in Energy Costs – 18-40%
      % Reduction in Cost of Labor
      Improvement in Air Quality
      Improvement in Comfort of Occupants
  • Data Monitored:

      Video, Video (Infrared), CO2 (Air), Humidity (Air), Temperature (Air), Dust (Air)
  • Solution Tags:

      Building Renovation, Building Occupancy Monitoring, HVAC Efficiency
  • Regulations Addressed by Solution:

Business Case / Problem:
  • Many buildings, especially older ones, require large amounts of energy to stabilize indoor environmental conditions
  • Most buildings are unable to optimize A/C, heating and HVAC usage based on occupancy and are thus inefficient
  • Many buildings waste large amounts of energy on over-heating or over-cooling rooms
  • CO2 and other pollutant levels can affect the comfort and productivity of occupants yet most buildings do not monitor or have the ability to control these indicators
  • Many building security systems do not centralize or digitalize information and require much manual labor to operate
Solution Overview:
  • Wireless devices are used to directly connect with the building’s STEP / Building control system
  • Various sensors are introduced across the building to gather data on environmental quality and occupant location. Critical window & door sensors are also installed to minimize energy wastage and improve security
  • The Thing+ platform is used to centralize this data and to automate the system. It is also used to allow operators to access the system from any device in any location
System Diagram & Hardware Used:

(Sensor Node) 8x EnOcean Wall Mounted Occupancy Sensor

(Sensor Node) 30x EnOcean Ceiling Mounted Occupancy Sensor

(Sensor Node) 6x EnOcean LED Zone Controller

(Sensor Node) 3x EnOcean HVAC Setback Module

(Sensor Node) 30x Awair All-in-one air sensor device

(Sensor Node) 25x Wanscam HW0052 IP CCTV Cameras

(Sensor Node) 48x EnOcean Wireless Door/Window Sensor

  • Other Possible Hardware Vendors:

      Advantech B+B SmartWorx
Installation Process Overview:

1. Purchased hardware should be run through initial setup, sensors should be calibrated, etc…

2. Awair environmental sensor packages are generally placed in areas of high occupancy, or, alternatively, in all rooms in central locations. Data from Awair devices is generally used by both the API (if the project requires a custom application using the Thing+ API) or the Thing+ dashboard.

3. Zone Controller devices are connected to the building’s system and data should immediately become available on Thing+ (if the integration was already completed)

4. HVAC fallback controller is connected to the HVAC system (many buildings use different systems so the specific installation method will differ). HVAC feedback controller should then be directly connected to Thing+.

5. Installation of IP CCTV cameras to directly send data to Thing+ is completed next. Each Camera has a unique ID that is used to sync the cameras to the platform/used with the API.

6. Occupancy sensors are installed in rooms along with window/door sensors in critical areas (or on all doors/windows).

7. API and custom application is tested and set up at this time and/or the Thing+ dashboard and widgets/rules are created and customized on a per-client basis.

8. Rules are tested to ensure SMS/Email/Data push is working correctly via either Thing+ Dashboard or API.

9. Finally, operators of the solution are trained in it’s usage and how the rules/widgets work to monitor and automate the system.

Automation & Rules Guide :
Example Rule #1: HVAC Fallback Trigger

Trigger: Room occupancy = 0

Conditions: Temperature > 20

Action: Switch HVAC for that floor to setback mode

Example Rule #2: Warn operator of unattended windows/doors

Trigger: Occupancy = 0

Conditions: Window/Door is open

Action: Send SMS message to manager recommending action

Example Rule #3: Modify heating & ventilation

Trigger: Temperature < 23 or CO2 level > 800 ppm

Conditions: Occupancy > 0

Action: Turn on heating system or ventilation system through building control system (Web push) (if occupants are working currently)

Example Rule #4: Detect Intruders

Trigger: Motion sensed by CCTV

Action: Send sms & email message directly to security team

Example Rule #5: Dim and turn off lighting

Trigger: Room occupancy = 0 or floor occupancy = 0

Action: If specific rooms have low occupancy, turn off lights via building control system, if the floor is vacant, turn off all lights

Impact on Operations:
  • Operators should view building environmental data periodically to ensure the building is running optimally
  • Security personnel should view CCTV feeds
  • Sensors and devices should be checked yearly for calibration using a manual sensor probe
Recommended Data Analysis Options:

Example Data Analysis #1

Data: Temperature data across different floors and rooms

Time period: 7-30 days

Goal: Discover rooms with poor insulation through comparing temperature movement


  • Look for rooms that have erratic temperature graphs with quick changes between high and low temperatures
  • Compare temperature movement data with room occupancy

Example Data Analysis #2

Data: Identify high occupancy rooms & optimize for those rooms

Time period: 7-30 days

Goal: Discover what rooms in the building are most highly frequented. If needed, deploy additional devices to control environment and focus insulation and other building improvements to those areas.


  • Look for rooms of high occupancy and ensure environmental values are not highly erratic
  • Look at changes in environmental data based on # of occupants in different rooms to inform decisions on building improvements and renovations
Solution Assumptions:
  • The building has an HVAC system
  • The building has a central building control system that can be interfaced with
  • The building has a wireless network across most floors
Support & Maintenance Requirements:
  • Most sensors and devices should only require recalibration once a year or longer – a yearly calibration test should be done
  • Sensors are designed to harvest energy on their own, so the only maintenance required should be when abnormal data is observed on the platform
  • Additional updates and additions to the system may be performed based on the future needs of clients

Providers/Installers of this Solution:

Solution Extensions:

  • Window-based fresh air exchange solution