Smart Sensor Systems Design for Smartphones, Tablets and...
Transcript of Smart Sensor Systems Design for Smartphones, Tablets and...
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Smart Sensor Systems Design for Smartphones, Tablets and IoT:New Advanced Design Approach
Dr. Sergey Y. Yurish, R&D DirectorExcelera, S.L., Barcelona, Spain
Tutorial, August 23, 2015, Venice, Italy
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2 International Frequency Sensor Association ● www.sensorsportal.com
Outline
Introduction: Markets and Definitions Modern Challenges Sensor Systems Design: Introduction Advanced Sensor Systems Design Sensors Systems Examples The Future and Summary
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3 International Frequency Sensor Association ● www.sensorsportal.com
Outline
Introduction: Markets and Definitions Modern Challenges Sensor Systems Design: Introduction Advanced Sensor Systems Design Sensors Systems Examples The Future and Summary
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4 International Frequency Sensor Association ● www.sensorsportal.com
Internet of Things (IoT)
Devices are focused on sensing and actuating of physical environmentIoT represents the convergence in advances miniaturization, wireless connectivity, increased data storage capacity and batteriesIoT wouldn’t be possible without sensorsA common requirement for IoT end nodes is the need for small size
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Global Internet of Things (IoT)Market
Grows at a compound annual growth rate CAGR of 31.72 % over the period 2014-2019(Research and Markets)50 billion devices are expected to be connected to the Internet by 2020 (Cisco's IBSG)By 2020, sensors will link 212 billion of objects through the Internet of Things (IoT): (IDC)Internet of Things market is on track to hit $7.1 trillion in 2020 (IT research agency, IDC)
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Global Smartphone Shipments
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Global Tablet Shipments
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Global Sensor Markets
Global Sensor Market will reach US $154.4Billion by 2020 with a five-year compound annual growth rate (CAGR) of 10.1% (BCC Research)Global Microsensors Market (including MEMS, biochips and nanosensors) will reach US $15.8Billion by 2018 with CAGR) of 10.0 % (BCC Research)Global Smart Sensors Market to reach US $6.7Billion by 2017 (Global Industry Analysts, Inc.)European Smart Sensors Market expected to grow up to US $2,402.15 million till 2018 with a CAGR of 39.90 %.
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Application Market Niche
Smartphone and Tablets Sensors Marketwill rise to US $6.5 billion in 2018 (IHS)Combo-sensor Market will growth to 1.5 Billion EUR by 2016
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Smartphone Sensors Classification
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Digital Sensors
Number of physical phenomenon, on the basis of which direct conversion sensors with digital outputs can be designed, is essentially limitedAngular-position encoders and cantilever-based accelerometers – examples of digital sensors of direct conversion There are not any nature phenomenon with discrete performances changing under pressure, temperature, etc.
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Angular-Position Encoder
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Digital Accelerometer
Toshihiro Itoh, Takeshi Kobayashi, Hironao Okada, A Digital OutputPiezoelectric Accelerometer for Ultra-low Power Wireless Sensor Node,in Proceedings of IEEE Sensors 2008, 26-29 October 2008, Lecce,Italy, pp.542-545.
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6-Axis Motion Processing Solution (I)
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6-Axis Motion Processing Solution (II)
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Modern Challenges
Introduction: Markets and Definitions Modern Challenges Sensor Systems Design: Introduction Advanced Sensor Systems Design Sensors Systems Examples The Future and Summary
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Technological Limitations
Below the 100 nm technology processes the design of analog and mixed-signal circuits becomes essentially more difficultLong development time, risk, cost, low yield rate and the need for very high volumesThe limitation is not only an increased design effort but also a growing power consumptionHowever, digital circuits becomes faster, smaller, and less power hungry
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Signal- and Data Processing Limitations
Sensor Fusion is a complex procedure deals with analog signalsOnly limited number of sensing elements can be integrated into a combosensors
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Sensor Types Divided According to Outputs
International Frequency Sensor Association (IFSA), Study, 2014
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Analog and Quasi-Digital Sensors
Analog sensor - sensor based on the usage of an amplitude modulation of electromagnetic processes
Quasi-digital sensors are discrete frequency-time domain sensors with frequency, period, duty-cycle, time interval, pulse number or phase shift output
Quasi-digital sensors combine a simplicity and universatility that is inherent to analog devices and accuracy and noise immunity, proper to sensors with digital output
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Voltage output vs. Frequency Output
V2
2.5 V (2 Bar)
V(t)
(a)
5 V (4 Bar)
V(t)
(b)
V1
V1 < V2
(a)
V(t)TTL Tx1 = 1/fx1
(2 Bar)
(b)
V(t)TTL (4 Bar)
Tx1 > Tx2 , fx1 < fx2
Tx2 = 1/fx2
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Quasi-Digital Sensors
Quasi-digital sensor is a sensor with frequency, period, its ratioor difference, frequency deviation, duty-cycle (or duty-off factor),time interval, pulse width (or space) pulse number, PWM or phaseshift output.
Qx
f1/f2
φNx
D.c.
τTxfx
PWM
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Quasi-Digital Sensors: Types
International Frequency Sensor Association (IFSA),Study 2014
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Informative Parameters
• Duty-cycle: D.C.= tp/Tx
• Duty-off factor: 1/D.C. = Tx/tp• PWM signal: ts/tp ratio at Tx = constant
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Digital Output Sensors
Serial interfaces RS232/485/422, USBParallel interfaces (8-, 16-, 32-bits)Sensor buses: SPI, I2C, CAN, SMBus, LIN, etc.
1 0 1 1 1 0 0 1 0 1 Binary code
10
1
1
0
1
1
1
…
1
0
Binary code
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Frequency Advantages
High Noise ImmunityHigh Power SignalWide Dynamic RangeHigh Reference AccuracySimple InterfacingSimple Integration and CodingMultiparametricity
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Sensor Systems Design: Introduction
Introduction: Markets and Definitions Modern Challenges Sensor Systems Design: Introduction Advanced Sensor Systems Design Sensors Systems Examples The Future and Summary
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Smart Sensors Design
- Classical approachSVx
(Ix)ADC BUS
Smart Sensor
BUS
- Proposed approaches
Sfx
FDC BUS
Smart Sensor
Sfx FDC
Smart SensorVx
(Ix)VFC
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Quasi-Digital Sensor Classification
x(t)–measurand; F(t)–frequency; V(t)–voltage, proportional to the measurand; P(t)–parameter
Quasi-Digital
Sensors
x(t) → F(t) x(t)→V(t)→F(t) x(t)→P(t)→F(t)
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Quasi-Digital and Digital Sensors in System Hierarchy
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Quasi-Digital Sensors: Summary
There are many quasi-digital sensors and transducers for any physical and chemical, electrical and non electrical quantitiesVarious frequency-time parameters of signals are used as informative parameters: fx, Tx, D.C., PWM, T, ϕx, etc.The frequency range is very broad: from some parts of Hz to some MHzRelative error up to 0.01% and better
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Advanced Sensor Systems Design
Introduction: Markets and Definitions Modern Challenges Sensor Systems Design: Introduction Advanced Sensor Systems Design Sensors Systems Examples The Future and Summary
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USTI-MOB
Can measure all frequency-time parameters of signalLow relative error up ±0.0009 %Wide frequency range: 0.25 Hz to 1.95 (31) MHzI2C, SPI and RS232 interfaces2-channel + sensing elementSupply voltage: 1.8 VActive supply current < 0.85 mAPackages: 5 x 5 mm MLF package (4 x 4 mm is coming), TQFP, PDIP
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USTI-MOB Features
Based on four patented methods for frequency, period, duty-cycle and phase shift measurementsConstant relative error in all frequency range of measurementsNon redundant conversion timeScalable resolution
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USTI-MOB’s Measuring ModesFrequency, fx, [Hz]Period, TX [s]Phase shift, ϕX [0]Time interval between start – and stop-pulse [s], Duty-cycle, D.C. and Duty-off factor, QFrequency fX1 – fX2 [Hz] and period TX1 – TX2 [s] differenceFrequency fX1/fX2 and period TX1/TX2 ratioRotational speed, nX [rpm]Pulse width, tp and Space interval, ts [s]Pulse number (events) counting, NX
Frequency deviation absolute DA [Hz] and relative DR [%]Resistance, Rx [Ω]Capacitance, Cx [F]Resistive bridges, Bx
Generating mode 2 MHz
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USTI-MOB Block Diagram
USTI-MOB
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Comparison Performances of USTI-MOB and USTI
Parameter USTI-MOB USTI
Programmable relative error, % ±(1…0. 0009) ±(1…0.0005)
Frequency range of measurement, Hz 0.25 ... 1.95×10 6 0.05 ... 9×10 6
Reference frequency, MHz 4 20
Generating mode, MHz 2 10
Supply voltage, V 1.8 5.0
Current consumption (active mode), mA 0.85 11
Operation temperature range, 0C -40 ... +85 -40 ... +85
*For custom design IC
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USTI-MOB Evaluation Board Prototype
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Evaluation Board’s Circuit Diagram
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USTI RS232 Interface (Master)
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USTI RS232 Interface (Slave)
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USTI I2C Interface
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USTI SPI Interface
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Software (Terminal V1.9b)
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USTI-MOB Calibration Procedure
>T ; set the IC into the calibration mode>F200010.82 ; correction command>F ; check the correction value in the IC200010.82 ; returned correction factor
TEST
fosc/2I.
TEST
fosc/2Calibrated USTI-MOB
II.
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Temperature Drift Calibration
The USTI-MOB is working in the industrial temperature range: – 40о C...+ 85о CTemperature drift error can be eliminated by the calibration in an appropriate working temperature ranges
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No Calibrate If:
Relative error of measurement > ±0.026 %Use a precision temperature-compensated integrated generator with ±1 ppm frequency stability over the -40°C to +85°CIn this case a custom designed USTI-MOB should be ordered
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Experimental Set-up: fx, Tx, tx,its Ratio and Difference
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Measuring Equipment
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Results of 10 Hz Measurements
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Results of 100 Hz Measurements
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Results of 1.95 MHz Measurements
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Frequency (Period) Ratio Measurement: fx1/fx2 (Tx1/Tx2)
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Pulse Width Measurement, tx
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55 International Frequency Sensor Association ● www.sensorsportal.com
Experimental Set-up for Phase Angle Measurements, ϕx
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Measuring Equipment for ϕxMeasurement
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Rectangular Waveform Signals (1200 ϕx at 1 kHz)
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Phase Shift Measurement Absolute Error at 10 Hz and 100 Hz
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Phase Shift Measurement Absolute Error at 1 kHz and 4 kHz
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60 International Frequency Sensor Association ● www.sensorsportal.com
Sine Waveform Signals (900 ϕx at 100 Hz)
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Phase Shift Measurement Absolute Error at 100 Hz and 1 kHz
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Maximum Absolute Errors
Waveform Frequency, Hz Max. Absolute Error, 0
Sine100 ± 0.17
1 000 ± 0.8
Rectangular
10 ± 0.008100 ± 0.06
1 000 ± 0.74 000 ± 2.3
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Commands for RS232, I2C and SPI Interfaces
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Duty-Cycle and PWM Signal
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Duty-Cycle Measurement at 100 kHz and 500 Hz
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Duty-cycle Values vs. Frequencies
Frequency, kHz Duty-cycle, %
< 0.5 1 ... 99.31 1.5 ... 9810 15 ... 8020 30 ... 7130 46 ... 60
> 40 50
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Multisensor System for Smartphones and Tablets
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Analog Sensors Interfacing
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Measurement Time Calculation
calccommconvmeas tttT ++=
≥÷+=
=
xxconv
xx
conv
Tf
NifT
fN
t
Tf
Nif
ft
00
0
)0(
1
δδ
δ
where Nδ =1/δ is the number proportional to the required programmable relative error δ
The calculation time depends on operands and is as usually tcalc ≤ 20 ms
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Communication Time
bitcomm tnt ⋅⋅= 10• For RS232 interface:
where tbit = 1/300, 1/600, 1/1200, 1/2400, 1/4800, 1/9600, 1/14400, 1/19200, 1/28800, 1/38400 or 1/76800 is the time for one bit transmitting; n is the number of bytes (n = 13÷24 for ASCII format).
SCLKcomm f
nt 18 ⋅⋅=• For SPI interface:
where fSCLK = 28 kHz is the serial clock frequency; n=12÷13 is thenumber of bytes: for BCD (n=13) or binary (n=12) formats
• For I2C interface:SCL
comm fnt 18 ⋅⋅=
where fSCL= 20 kHz is the serial clock frequency n=12÷13 is thenumber of bytes for measurement result: BCD (n = 13) or binary(n =12).
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Dependence of tconv (δx, fx) in the frequency range from 0.5 to 1 MHz
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Sensors Systems Examples
Introduction: Markets and Definitions Modern Challenges Sensor Systems Design: Introduction Advanced Sensor Systems Design Sensors Systems Examples The Future and Summary
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Smartphone based Weather Station
Temperature sensors SMT172
MS54XX Miniature SMD Pressure Sensor
Humidity Sensor
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Commands for USTI-MOB (I2C Interface)
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Measuring Channel
Sensor VFC USTI-MOB
Measuring Channel
±δs, % ±δVFC, % ±δq, % - quantization error
±δo, % - reference error
Relative Error’s Components:
Main considerations:
• USTI-MOB’s relative error (δq) must be in one order less (or at the lease in 5 times less than the sensor’s error)
• The reference error for calibrated USTI-MOB is δo=±0.00001 %
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Low Power Consumption Temperature Sensor Systems
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Accelerometer Sensor Systems
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Commands for RS232 Interface
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Barometric Pressure Sensor (I)
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Barometric Pressure Sensor (II)
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USTI-MOB Custom Design
Extended functionalityNew measuring modesCustomized units of measurementsImproved metrological performance and communication interfaces
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The Future
USTI-WSNASIC or ICSoC/SiP
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USTI-WSN
The same metrological performance and functionality as USTI ICIncludes RF-CMOS 2.4 GHz radio transceiverIEEE 802.15.4, ZigBee, IPv6/6LoWPAN, RF4CE, SP100, WirelessHART and ISM applicationsSupply voltage is 1.8 VCurrent consumption is less than 18.8 mA in active mode64-pad QFN package
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Traditional Approach
Analog sensors with voltage or current outputsAnalog multiplexerMultichannel ADC
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Sensor Node Interface
A. Bayo, N. Medrano, B. Calvo, S. Celma, A Programmable Sensor Conditioning Interface for Low-Power Applications, Proc. of the Eurosensors XXIV, 5-8 September, 2010, Linz, Austria, Procedia Engineering, Vol. 5, 2010, pp. 53–56.
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Wireless Telemetry Pulse Acquisition Module T24-PA
Frequency range: 0.5 Hz … 3 kHzRelative error: 0.15 % …0.25 %Frequency, time and RPM measuring modes
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Pulse-to-Wireless Converters
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Sensor Node Architecture
Sensing Sub-systemProcessing Sub-systemCommunication Sub-systemPower Management Sub-system
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Sensor Node Architecture
Sensing Sub-systemProcessing Sub-systemCommunication Sub-systemPower Management Sub-system
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Node on Chip
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Comparative Performances
Parameter T24-PA USTI-MOB ICRelative error, % 0.15 … 0.25 0.0009Frequency Range, Hz 0.5 … 3 000 0.25 … 1 950 000Min.Time interval, s 333E-06 … 2 10E-06 … 250RPM range (presuming 1 pulse/rev), rpm 30 … 180 000 3 … unlimited
Active Supply Current, mA 35 0.85
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Price Comparison
ICs Manufacturers Price, $ US(in quantities of 1, 000)
ADS1278, 24-bit, 8 channels, SPI Texas Instruments 23.95
USTI-MOB, 3 channels, SPI, I2C, RS232 + any digital multiplexer (8 channels or more)
Excelera, S.L. 16.95
Saving: 23.95-16.95 = 7.00
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Series of UFDC and USTI ICs
Universal Sensors and Transducer Interface (USTI)
Universal Frequency-to-Digital Converter (UFDC-1 & 1M-16)
Evaluation boards
USTI MOB for ultra-low power applications
USTI-EXT for Auto, Aerospace & Defense applications
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Current Consumption Comparison
IC Active Supply Current, mAUSTI-MOB 0.85USTI 11USTI-EXT 11USTI-WSN * ~ 18.8UFDC-1-16 20UFDC-1 20
* - coming soon
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Conclusions
Quasi-digital sensors and digital sensors on its basis are more attractive for mobile devices and IoT because of they let to eliminate current technological limitationsProposed advanced design approach lets significantly increase a sensor system integration level and metrological performanceA lot of different sensors can be integrated by the same way in any mobile devices and IoT without complex sensor fusion algorithms
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Reading and Practice
+http://www.sensorsportal.com/HTML/BOOKSTORE/Digital_Sensors.htm
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Contact Information
Excelera, S.L.Parc UPC-PMT, Edifici RDIT-K2MC/ Esteve Terradas, 108860 Castelldefels, Barcelona, SpainTel.: +34 93 413 79 41 E-mail: [email protected]: http://www.excelera.io
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Questions & Answers