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Controlling Sensors Efficiently with MCUs

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1 Controlling Sensors Efficiently with MCUs
Sensors in the Internet of Things (IoT) Course Description/Overview: The growing applications of the Internet of Things (IoT) will rely fundamentally on acquiring data from the world around us. Sensors will be used invariably, gathering information on temperature, pressure, light levels, speed, direction, altitude -- the list goes on and on. In most applications, microcontrollers (MCU) will be used to control a variety of sensors while processing sensor data and communicating important results to a centralized monitor. This course will discuss techniques for most efficient sensor control using MCUs, so your designs can be optimized for your application requirements. Titles for Each Class and 50-word Description: 1) Sensors in the IoT Sensors will be, literally, the eyes and ears of the IoT. This class will describe several common sensors and their requirements for use in efficient MCU-based designs. 2) MCUs as Sensor Controllers This class will review several key MCU features -- like low power, serial communications, and data processing -- that are critical for efficient MCU-based sensor implementations. 3) Example MCU-based Sensor Designs Many MCU manufacturers have targeted sensor designs and provided reference designs and product examples. This class will explore some of these resources that can help you more efficiently implement your designs. 4) More Example Designs This class will continue exploring reference designs and development platforms provided by MCU manufacturers to help you more quickly and efficiently create MCU-based sensor designs. 5) Future Trends This class will review some of the most recent trends in MCU-based sensor designs in order to explore the future types of applications MCUs will need to address and the most likely enhancements they will need to be successful. Sept 14th, 2015 Warren Miller

2 Course Overview IoT applications will rely fundamentally on acquiring data from the world around us. Sensors will gather information on temperature, pressure, light levels, speed… MCUs will be used to control sensors while processing data and communicating results. This course will discuss techniques for most efficient sensor control using MCUs. Course Description/Overview: The growing applications of the Internet of Things (IoT) will rely fundamentally on acquiring data from the world around us. Sensors will be used invariably, gathering information on temperature, pressure, light levels, speed, direction, altitude -- the list goes on and on. In most applications, microcontrollers (MCU) will be used to control a variety of sensors while processing sensor data and communicating important results to a centralized monitor. This course will discuss techniques for most efficient sensor control using MCUs, so your designs can be optimized for your application requirements. Titles for Each Class and 50-word Description: 1) Sensors in the IoT Sensors will be, literally, the eyes and ears of the IoT. This class will describe several common sensors and their requirements for use in efficient MCU-based designs. 2) MCUs as Sensor Controllers This class will review several key MCU features -- like low power, serial communications, and data processing -- that are critical for efficient MCU-based sensor implementations. 3) Example MCU-based Sensor Designs Many MCU manufacturers have targeted sensor designs and provided reference designs and product examples. This class will explore some of these resources that can help you more efficiently implement your designs. 4) More Example Designs This class will continue exploring reference designs and development platforms provided by MCU manufacturers to help you more quickly and efficiently create MCU-based sensor designs. 5) Future Trends This class will review some of the most recent trends in MCU-based sensor designs in order to explore the future types of applications MCUs will need to address and the most likely enhancements they will need to be successful.

3 This Week’s Agenda 9/14/15 Sensors in the IoT 9/15/15 MCUs as Sensor Controllers 9/16/15 Example MCU-based Sensor Designs 9/17/15 More Example Designs 9/18/15 Future Trends

4 Today’s Goals and Objectives
Describe common functions MCUs will be responsible for in sensor IoT applications. What will MCUs do? What will be important? Find out about your designs 1) Sensors in the IoT Sensors will be, literally, the eyes and ears of the IoT. This class will describe several common sensors and their requirements for use in efficient MCU-based designs.

5 What is the IoT? Things, people and cloud services getting connected via the Internet to enable new applications and business models Different from M2M Enabling technology- not a market TI Sensing Web Site

6 What Types of Sensors?

7 Current Sensing Benefits Low Cost Direct measurement
Simple implementation Flexible Can provide high resolution Typically under 100A and 100V Wide applicability

8 Capacitive Sensing Benefits Low Cost Low Power
Contactless, high reliability Robust High resolution Remote, multi-channel sensing Easy to integrate on standard PCB fabrication process Wide applicability

9 Inductive Sensing Benefits Does not require magnets
Reliable by virtue of being contactless Insensitive to dust, dirt, water, and oil Sub-micron resolution Sensor is low-cost Allows for remote sensing

10 Ultrasound Sensing Benefits
Adaptable to multiple applications and varying tank sizes, pipe sizes, and fluids Low power consumption improves system battery performance Detect zero flow or low fluid level

11 Humidity Sensing Benefits Low current solution
1sps Integrated solutions available Includes temp sensor Robust vs. dirt and dust Accuracy +/- 4% humidity 0.2 deg C temp

12 3D Time of Flight Benefits Direct output of 3D Depth Data
Reduced Software Complexity vs. other 3D Imaging technologies Low Latency Depth Range Scalable by Illumination Power Strong Low Light Performance

13 Optical Sensing Benefits Can be optimized Low Power
Human Eye, Infra-red, etc Low Power Contactless, high reliability Robust High resolution Remote, multi-channel sensing Easy to integrate on standard PCB fabrication process Wide applicability

14 Temperature Sensing Benefits Highly Linear
Guaranteed Accuracy – Zero Calibration Programmable Sampling & Alerts No Additional Components Needed Integration with other functions Small Foot Prints

15 Magnetic Sensing Types Low (Earth) Field Saturated Mode Benefits
1, 2, 3 Axis versions Compass Saturated Mode Direction of field from sliding magnet Benefits Small size Low power Flexible applications

16 Other Pressure Temperature Chemical Radiation Particulates Pulse Rate
Blood Oxygen Rotation etc

17 Example Applications

18 What are YOUR Designs? Post in the chat a very short description of the type of application you are working on or expect to be working on. I will cover as many as I can in the class on Friday where I will share some example implementations!

19 Resources for Todays Class
Sensor Information PPT: Digi-Key Product Training Modules: Sensors Magnetic Sensors Pressure Sensors Environmental Sensors CEC Design News Courses: Understanding Smart Sensors Understanding Smart Sensors 2

20 This Week’s Agenda 9/14/15 Sensors in the IoT 9/15/15 MCUs as Sensor Controllers 9/16/15 Example MCU-based Sensor Designs 9/17/15 More Example Designs 9/18/15 Future Trends


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