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ELEC1601 Introduction to Computer Systems

创建日期：2024-06-03 15:01:19

所属分类：电气工程electric engineering

标签： ELEC1601

Introduction to Computer Systems

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ELEC1601 Introduction to Computer Systems

Exercise 3 using Physical Equipment
Sample video
The Shield-bot Sensor Shield
In the simulation exercise, you first learnt about the light sensor, and then how it could be used as
an input to control the servo motors. The model your design was based on was that as a wall
moved closer, the sensor would receive more light.
To enable the Shield-Bot to navigate, you will instead use an infra-red (IR) LED as a "headlight"
and pair it with an IR receiver to detect the light being reflected off walls and objects. Similar to the
visible light sensor, as a wall moves closer, the IR receiver will detect more reflected IR light.
Some additional details if you are interested: IR light is an invisible light whose wavelength spans
800 – 1000 nanometres (nm). The wavelength of visible light ranges from 400 nm (blue light) to
700 nm (red). IR is commonly used to transmit data such as in TV remote control and wireless
keyboard/mouse. Just like visible light, IR light also bounces off walls and almost any solid
material. Hence it can be used to detect walls or solid obstacles when an IR receiver is placed
facing the same direction as the IR source.
To make things easier for you, we have designed a sensor shield for the Shield-bots that already
has three pairs of IR LEDs (sources) and IR receivers (sensors) installed. This is mounted on top

of your Shield-bot over the top of the small breadboard so that it is connected directly to the
Arduino. This means that you do not need to construct any physical circuits during the lab this
week and can focus on developing code that you will be using later in your Project. If you want
some background information about how these LEDs and receivers are configured, you can find
the original Shield-bot assembly guide here .
The below image shows a representation of the sensor shield. The green LED will light up if your
sensors have power. The three grey components are the IR receivers which will detect IR light
being reflected off objects in front of your robot and off walls on either side. The IR LEDs are
mounted on the underside of the board, directly below the IR receivers. The red LEDs are free for
you to use however you wish, but we recommend that you use them as a visual indicator that your
robot has detected an obstacle with the corresponding IR LED/receiver.
For the first exercises, you will only be using the centre, or mid IR LED/receiver pair. You can see
from the table printed on the board in the image above that the IR LED is connected to digital Pin
6, the IR receiver/sensor is connected to digital Pin 7, and the red LED is connected to analog Pin
A1. The schematic below shows how these components are connected to the Arduino pins.
Part 1: Calibrating an IR Sensor (This is loosely related to
Simulation Exercise 3 Part 1
1.1 Detection
Infrared detection takes three steps:
A. Flash the IR LED on/off at 38 kHz using the tone()
command.
B. Delay for a millisecond or more to give the IR receiver time to send a low signal in
response to sensing 38 kHz IR light reflecting off an object.
C. Check the state of the IR receiver using digitalRead(). Note that digitalRead() will return 0 if
IR light is detected (object within range) or 1 if no IR light is detected.
D. Light the red LED if the IR receiver returned a low signal (IR detected).
You will note that the receiver response is digital, not analog. This means that you only know
whether IR light was detected or not. You don't know how strong the reflected light is. This is
important on our robot because it means that you know whether an object is within detection
range, but you don't know exactly how close it is.
Here is an example of the three steps applied to the centre/mid IR LED (pin 6) and IR receiver (pin
7).
tone(6, 38000); // Flash IR LED at 38 kHz
delay(1); // Wait 1 ms
noTone(6); // Stop the LED flashing after delay time has passed
int ir = digitalRead(7); // IR receiver -> ir variable

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FE 825 IERG 5130 STAT 8178 EE161 ADS2 G54FUZ CS326 113B ECN 226 QBUS6860 ELEC3202 COMP9334 MGT11B MET CS 777 STA238 00099F Python SMM306 CMT206 EC116 SP MAST90084 CS480/680 BCPM0091 CMPT 300 ECON2209 FY20 STAT 432 CVEN9625 MATH1712 CMP9771M CMP3750M CIS 325 AI506 MAT344H1S MGT7180 PSTAT 160B CSYS5010 1D STAT 453/558 ME152B STA304H1F CSCI-128 ME428 CO3002 FINE 7640 COMP3234 ECSE 223 EE497 – 3D MATH5905 ECS648U ENG5009 MATH10242 EC665 A CPI221 ISOM5220 MACE40402 MGT B456F COMP9315 AFM 113 STAT 778 CS 564 MA231 CS 230 CS 124 COMP5511 CSC317 ITEC1010 ELEC207 INFT 3019 7CCMFM06 EE 161 5G ECLT5810 MATH 7349 CS526 O2 COMP90054 ELE00063M ACCT5034 ARC1015 CSCI 40 CSCI E40 FIN 524B CS 462 389COM CMT309 MFIN703 COMP4250 STA304 STA304H1S STA 1003 FIN 448 BUFN 732 CS520 CVEN3701 ECMT6006 PHAS0100 CSIT314 MDIA 5028 CSCI 2134 MAT 451 CMPT 459 STAT 457 INFO20003 COMP4141 IELE8066 F540 ECM9 CSE 6321 FIN 430 MATH3911 BFC5916 COMP1011 EEE 6209 STATS 240 CW3 COMP206 COMP1003 4331W ISE 530 CMPT 295 MATH 239 QF5203 INFR08010 IT114105 FIT2093 ECON3124 ECON1195 MATH 337 STAT 3006 COMP202 COMP3130 MATH3609 COMP 250 CS6140 IEEE ELE00041I FIN40090 CIV 5899 MATH3066 IGNMENT MATH 2009 STAT3405 HIST 101 MATH 3281 CEGE0042 ICT532 LAB 7 LAB 5 MCO455 CSIT214 Q4 IFB104 A1 ECO220Y5Y DA5020 CMPSC473 FIN9007 DSCI553 MSCI534 COMP3308 CSE-112 CMPT 310 EE104 F 2C P20 ALY2010 BUSM060 STA258 ECO00030M R BIOSTAT 274 COS6012-B FIT3155 CMPUT 340 EC421 INFS4205 ECOM135 NATS 1740 COMP809 MBE 6005 STA465 CSSE2310 CIVL2700 DATA4700 CMPSC 473 ISE 529 CS5044 MAST30020 COMP2207 ENGG1001 COMP0046 FIT3165 STAT GR5241 MECH0007 vATHK1001 ANALYTIC ATHK1001 MATH352001 HW3 S1 BMAN 24662 COMP 636 Stat-461 STAT 302 STAT 2132 STAR534 ENG4137 CMP3752M CS3103 BISM3222 STA 135 ME155A IIMT3601 ECON3371 ECON 3371 HW4 FINA 5840 DT211C CTEC3902 MAT005 MATH2148 S261F Econ 332 MATH3734 MIS41270 7CCMFM13 SYST 664 CIS434 CENG10014 MT4111 MT4527 ECMM424 CMT219 Math 136 MATH 3120 COMP10002 MAST20009 MATH0058 BEEM117 ISYE 6420 MGMTMFE 405 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ECON7310 FIT 1006 MANAGEMENT MATH3821 MTHM504 CS975 COMM1100 ELEC2133 MMAI 5500 MIS611 ELEC3114 CS 173 ELEC 3105 ISO 9001 IDSC10 Rural livelihoods and globalisati IDSC10 K17 202 CS823 MAST90007 SPG8024 MAT246 EG-264 CVEN2303 INFS1603 3PR3 MN-2508 4CCE1MCP SPG8030 CMT224 Inflation consumption Applying MAT137 CSE 111 DPBS1110 FINS5530 ELEC4613 GSBS6200 COMP4336 Math W54 DIFFERENTIAL 7PAVMALM ACC 1110 ME 3210 MATH2801 MGMT20001 ECON 6202 PSTAT 120B COMP9024 ENG5027 comp3219 ELE00107M ECON20003 ECON2103 FINA2209 MAST20018 LUBS5308M01 MATH2023 Computation COMP1600 CHEM 3X23 BBMM506 FNCE20003 BMET2922 BISM7216 financial ECMT5001 ACST3059 MAST30012 COMP3511 ECOS 2201 MKTG7512 ECON2540 MTH1010 MAT1841 COMP4600 ECON7740 PAPER C331 CAP 6617 ECON2420 ACCT7107 HLTH 7001 ECOS3002 CVEN30010 MAST30021 MATH1014 BIOL1007 ECOS 3010 SWEN90016 BISM7202 ACCT90012 INFO3315 DSCI 553 INFO90002 COMP3419 CITS 3001 EE5731 FINA3326 NFS 284 COMM2501 FIT2104 PHYS3035 RSM260 MAN3080 CHEM30028 MATH2088 ELEC0144 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