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Spotlight: Personal Natural Resource Consumption Profiler Younghun Kim, Zainul Charbiwala, Akhilesh Singhania, Thomas Schmid, Mani B. Srivastava Networked.

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Presentation on theme: "Spotlight: Personal Natural Resource Consumption Profiler Younghun Kim, Zainul Charbiwala, Akhilesh Singhania, Thomas Schmid, Mani B. Srivastava Networked."— Presentation transcript:

1 Spotlight: Personal Natural Resource Consumption Profiler Younghun Kim, Zainul Charbiwala, Akhilesh Singhania, Thomas Schmid, Mani B. Srivastava Networked and Embedded Systems Laboratory Department of Electrical Engineering University of California, Los Angeles {kimyh, zainul, akhi, thomas.schmid, mbs}@ucla.edu

2 Outline Problem Definition Problem Definition Introduction of SPOTLIGHT Introduction of SPOTLIGHT System Architecture System Architecture Prototype Implementation Prototype Implementation Evaluation Evaluation Conclusion Conclusion

3 Problem Definition Severe natural disasters due to global climate changes Severe natural disasters due to global climate changes An urge to optimize resource consumption due to natural resource crisis. An urge to optimize resource consumption due to natural resource crisis. Household level and monthly basis resource consumption measurement  Very vague Household level and monthly basis resource consumption measurement  Very vague

4 Motivation Individual wants to have fine grained information of the resource consumption. Individual wants to have fine grained information of the resource consumption. Study shows individuals are willing to conserve energy. Study shows individuals are willing to conserve energy. Measurement of energy, water, and other resources at person level. Measurement of energy, water, and other resources at person level.

5 Introduction of SPOTLIGHT Resource measuring system using sensor network technology. Resource measuring system using sensor network technology. Estimating an individual ’ s personal resource consumption profiler. Estimating an individual ’ s personal resource consumption profiler. Use commercially available components Use commercially available components Currently focusing on electrical energy. Currently focusing on electrical energy.

6 Resource Monitoring Subsystem (1/3) Examples of available technologies: Power and gas meters for apartments. Examples of available technologies: Power and gas meters for apartments. Problem: Information not at per individual level. Problem: Information not at per individual level.

7 Resource Monitoring Subsystem (2/3) Challenges: Challenges: –Scalability –Accuracy –Non-obstructive due to aesthetic, privacy and security concerns.

8 Resource Monitoring Subsystem (3/3) Aims to profile energy consumption of each appliance based on the status of an appliance and total consumption. Aims to profile energy consumption of each appliance based on the status of an appliance and total consumption.

9 Activity Monitoring Subsystem Identify who and what activities happened in the area of interest. Identify who and what activities happened in the area of interest. Existing activity recognition approaches but issue of mass deployment due to complexity and cost reason still persists. Existing activity recognition approaches but issue of mass deployment due to complexity and cost reason still persists. Aims to fuse information from both activity and resource monitoring to improve accuracy. Aims to fuse information from both activity and resource monitoring to improve accuracy.

10 Resource Management Subsystem Fuse data provided by resource monitoring and activity monitoring subsystems Fuse data provided by resource monitoring and activity monitoring subsystems Provide persuasive resource usage report Provide persuasive resource usage report Employ Smart Resource Controller to improve resource saving. Employ Smart Resource Controller to improve resource saving.

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12 Prototype Implementation (1/2) Monitor the power consumption in a small household. Monitor the power consumption in a small household. Participating appliances: Lighting, coffee machine and TV. Participating appliances: Lighting, coffee machine and TV. Regards physical proximity and the appliance status as an activity indicator. Regards physical proximity and the appliance status as an activity indicator.

13 Prototype Implementation (2/2) MicaZ: MicaZ: – Used to for sensing proximity of the user to the appliance –Communicating with SPOTLIGHT server –Connected to the serial interface of power meter

14 2. Sends out RSSI and Power Measurement 1. Sends out beacon messages 3. Identify user proximity and individual electrical energy consumption

15 Deployment Setting

16 Evaluation of RSSI based Activity Region Define the a rough activity region Define the a rough activity region Traverse along the boundaries and the system averages RSSI for initial calibration. Traverse along the boundaries and the system averages RSSI for initial calibration. Issues tokens, an indication of current activity. Issues tokens, an indication of current activity.

17 Comparison With Ground Truth Installed cameras monitoring the activity regions. Installed cameras monitoring the activity regions. Provided information of who was present in the activity region. Provided information of who was present in the activity region.

18 Comparison With Ground Truth

19 Energy Consumption Report

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21 Future Work Measuring water consumption of a household. Measuring water consumption of a household. Using accelerometer connected to the water pipe. Using accelerometer connected to the water pipe. Vibration of the pipe is a good indicator of how much water flows through the pipe Vibration of the pipe is a good indicator of how much water flows through the pipe

22 Conclusion Providing information on resource consumption is meaningful for inducing resource-conserving behavioral changes Providing information on resource consumption is meaningful for inducing resource-conserving behavioral changes Such a system needs to fuse different embedded sensing system, machine learning technique and algorithm Such a system needs to fuse different embedded sensing system, machine learning technique and algorithm


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