Practical for Data Logging (Ict)

8/3/2019 Practical for Data Logging (Ict)

1/13


2/13


3/13

Time(s) Temperature I/O-1(C)

0 26.614

1 26.5542 26.554

3 26.554

4 26.554

5 26.554

6 26.554

7 26.554

8 26.554

9 26.554

10 26.554

11 26.55412 26.554

13 26.554

14 26.554

15 26.554

16 26.554

17 26.493

18 26.493

19 26.493

20 26.554

21 26.49322 26.554

23 26.493

24 26.493

25 26.493

26 26.493

27 26.493

28 26.493

29 26.493

30 26.493

31 26.493

32 26.493

33 26.49334 26.493

35 26.433

36 26.433

37 26.433

38 26.433

39 26.433

40 26.493

41 26.433

42 26.433

43 26.43344 26.493

45 26.433

46 26.433

47 26.433

48 26.433

49 26.433

50 26.433

51 26.433

52 26.433

53 26.43354 26.433

55 26.433

56 26.433

57 26.433

58 26.433

59 26.372

60 26.372

61 26.372

62 26.372

63 26.37264 26.372

65 26.372

66 26.372

67 26.372

68 26.372

69 26.372

70 26.372

71 26.372

72 26.372

73 26.37274 26.372

75 26.372

76 26.372

77 26.372

78 26.372

79 26.311

80 26.372

81 26.372

82 26.311

83 26.31184 26.311

85 26.311

86 26.372

87 26.311

88 26.311

89 26.372

90 26.311

91 26.311

92 26.311

93 26.31194 26.311

95 26.311

96 26.311

97 26.311

98 26.311

99 26.311

100 26.311

101 26.311

102 26.311

103 26.311104 26.311

105 26.311

106 26.311

107 26.311

108 26.311

109 26.311

110 26.311

111 26.311

112 26.311

113 26.311114 26.311

115 26.311

116 26.251

117 26.311

118 26.311

119 26.251

120 26.251


4/13

The graph of body temperature isconstant from 0s to 1000s.


5/13

Time (s) Temperature I/O-2(C)300 25.173

301 25.173

302 25.173

303 25.071

304 25.071

305 25.071

306 25.071

307 25.071

308 25.071

309 25.071310 25.071

311 25.071

312 25.071

313 24.97

314 25.071

315 25.071

316 24.97

317 24.97

318 25.071

319 24.97320 24.97

321 24.97

322 24.97

323 24.97

324 24.97

325 25.071

326 24.97

327 25.071

328 24.97

329 24.97330 25.071

331 25.071332 25.071

333 25.071

334 25.071

335 25.274

336 25.781

337 26.491

338 26.999

339 27.303

340 27.607

341 27.81342 27.911

343 28.114

344 28.013

345 28.114

346 28.013

347 28.013

348 27.911

349 27.911

350 27.911

351 27.81352 27.709

353 27.709

354 27.607

355 27.607

356 27.506

357 27.506

358 27.404

359 27.303

360 27.303

361 27.201362 27.1

363 27.1

364 26.999

365 26.999

366 26.999

367 26.897

368 26.796

369 26.796

370 26.796

371 26.694372 26.694

373 26.593

374 26.593

375 26.491

376 26.491

377 26.491

378 26.491

379 26.39

380 26.39

381 26.39382 26.289

383 26.289

384 26.289

385 26.289

386 26.187

387 26.187

388 26.187

389 26.187

390 26.187

361 27.201362 27.1

363 27.1

364 26.999

365 26.999

366 26.999

367 26.897

368 26.796

369 26.796

370 26.796

371 26.694372 26.694

373 26.593

374 26.593

375 26.491

376 26.491

377 26.491

378 26.491

379 26.39

380 26.39

381 26.39382 26.289

383 26.289

384 26.289

385 26.289

386 26.187

387 26.187

388 26.187

389 26.187

390 26.187


6/13

Time (s) Humidity I/O-3(%)

785 28.095

786 28.254787 28.095

788 28.095

789 28.254

790 28.254

791 27.778

792 26.667

793 25.714

794 23.81

795 23.175

796 22.698797 22.222

798 21.587

799 20.476

800 19.841

801 19.365

802 19.048

803 18.73

804 17.937

805 17.937

806 17.778807 17.46

808 17.302

809 16.984

810 16.984

811 16.825

812 16.667

813 16.508814 16.667

815 16.825

816 16.667

817 16.667

818 16.984

819 16.825

820 16.984

821 16.825

822 16.825

823 16.825824 16.667

825 16.667

826 16.667

827 16.667

828 16.667

829 16.667

830 16.508

831 16.349

832 16.508

833 16.508

834 16.508

835 16.349

836 16.349

837 16.19

838 16.349

839 16.349

840 16.19

841 16.032

842 16.032

843 16.032844 16.032

845 16.032

846 16.032

847 15.873

848 16.19

849 16.19

850 16.19

851 17.302

852 17.937

853 18.413854 19.365

855 20

856 20.159

857 20

858 20.317

859 19.841

860 19.206

861 18.73

862 18.571

863 18.571

864 18.571

865 18.254

866 18.254

867 17.778

868 17.619

869 17.46

870 17.143

871 17.302

872 17.619

873 17.619

874 17.937875 18.254

876 18.571

877 18.254

878 18.413

879 18.571

880 18.73

881 18.889

882 18.889

883 19.048

884 18.889885 18.73

886 18.413

887 17.778

888 17.778

889 17.46

890 17.302

891 17.143

892 17.143

893 17.302

894 17.302

895 17.302

896 16.984

897 16.984

898 16.825

899 16.667

900 16.508

901 16.349

902 16.508

903 16.508

904 16.667

905 17.143


7/13

The second graph shows increasing oftemperature starting from 300s to 400s.

This is due to heat from body was trappedin the plastic.

Then, from 780s to 850s the graph showsthe decreasing in the temperature.

This is because as we remove the plasticthe trapped heat was release to thesurrounding.


8/13


170 15.238171 15.397

172 15.397

173 15.397

174 15.556

175 15.397

176 15.714

177 15.556

178 15.397

179 15.397

180 16.825181 18.571

182 21.27

183 22.063

184 22.857

185 23.333

186 23.651

187 24.286

188 24.444

189 24.762

190 24.921191 25.238

192 25.556

193 25.873

194 26.032

195 26.19

196 26.349

197 26.667

198 26.825

199 26.825

200 26.667

201 26.825202 26.825

203 26.984

204 26.984

205 27.143

206 26.984

207 27.143

208 27.302

209 27.46

210 27.46

211 27.46212 27.619

213 27.619

214 27.778

215 27.778

216 27.778

217 27.778

218 27.937

219 27.937

220 27.937

221 27.778

222 27.937

223 27.778

224 27.937

225 27.937

226 27.937

227 28.095

228 28.095

229 27.937

230 28.095

231 28.095232 28.095

233 28.095

234 28.254

235 28.254

236 28.254

237 28.254

238 28.413

239 28.413

240 28.254

241 28.413242 28.254

243 28.413

244 28.413

245 28.413

246 28.254

247 28.095

248 28.254

249 28.254

250 28.254

251 28.254252 28.095

253 28.095

254 28.095

255 28.254

256 28.254

257 28.095

258 28.095

259 28.095

260 28.095

261 28.095262 28.095

263 28.095

264 28.095

265 27.937

266 27.937

267 28.095

268 27.937

269 27.937

270 28.095

271 28.095272 28.095

273 27.937

274 27.937

275 27.778

276 28.095

277 28.095

278 27.778

279 27.937

280 28.095

281 28.095

282 27.937

283 27.937

284 27.937

285 28.095

286 28.095

287 27.937

288 28.095

289 28.095

290 28.095


9/13


501 27.302

502 27.302

503 27.302

504 27.302

505 27.302

506 27.302

507 27.302

508 27.143

509 27.302

510 27.143

511 27.302

512 27.302513 27.302

514 27.302

515 27.302

516 27.302

517 27.302

518 27.302

519 27.302

520 27.46

521 27.46

522 27.46523 27.46

524 27.302

525 27.46

526 27.302

527 27.46

528 27.619

529 27.46

530 27.619

531 27.619

532 27.46

533 27.619

534 27.46

535 27.619

536 27.619

537 27.46

538 27.619

539 27.46

540 27.46

541 27.46

542 27.46

543 27.302544 27.46

545 27.302

546 27.46

547 27.46

548 27.302

549 27.46

550 27.46

551 27.46

552 27.46

553 27.46554 27.46

555 27.46

556 27.46

557 27.46

558 27.46

559 27.46

560 27.46

561 27.46

562 27.46

563 27.46

564 27.46

565 27.619

566 27.619

567 27.619

568 27.46

569 27.46

570 27.619

571 27.46

572 27.619

573 27.46574 27.46

575 27.619

576 27.46

577 27.46

578 27.46

579 27.619

580 27.46

581 27.619

582 27.778

583 27.46584 27.619

585 27.778

586 27.619

587 27.778

588 27.778

589 27.778

590 27.778

591 27.778

592 27.778

593 27.619594 27.619

595 27.619

596 27.778

597 27.619

598 27.619

599 27.778

600 27.619

601 27.619

602 27.619

603 27.619604 27.619

605 27.619

606 27.619

607 27.619

608 27.619

609 27.46

610 27.619

611 27.619

612 27.46

613 27.46614 27.619

615 27.46

616 27.46

617 27.619

618 27.619

619 27.46

620 27.619


10/13


780 28.413

781 28.254

782 28.254

783 28.095

784 28.254

785 28.095

786 28.254

787 28.095

788 28.095

789 28.254

790 28.254

791 27.778

792 26.667

793 25.714

794 23.81

795 23.175

796 22.698

797 22.222

798 21.587

799 20.476

800 19.841

801 19.365

802 19.048803 18.73

804 17.937

805 17.937

806 17.778

807 17.46

808 17.302

809 16.984

810 16.984

811 16.825

812 16.667

813 16.508

814 16.667

815 16.825

816 16.667

817 16.667

818 16.984

819 16.825

820 16.984

821 16.825

822 16.825

823 16.825

824 16.667

825 16.667

826 16.667

827 16.667

828 16.667

829 16.667

830 16.508

831 16.349

832 16.508

833 16.508

834 16.508835 16.349

836 16.349

837 16.19

838 16.349

839 16.349

840 16.19

841 16.032

842 16.032

843 16.032

844 16.032

845 16.032

846 16.032

847 15.873

848 16.19

849 16.19

850 16.19

851 17.302

852 17.937

853 18.413

854 19.365

855 20

856 20.159

857 20

858 20.317

859 19.841

860 19.206

861 18.73

862 18.571

863 18.571

864 18.571865 18.254

866 18.254

867 17.778

868 17.619

869 17.46

870 17.143

871 17.302

872 17.619

873 17.619

874 17.937

875 18.254

876 18.571

877 18.254

878 18.413

879 18.571

880 18.73

881 18.889

882 18.889

883 19.048

884 18.889

885 18.73

886 18.413

887 17.778

888 17.778

889 17.46

890 17.302

891 17.143

892 17.143

893 17.302

894 17.302

895 17.302

896 16.984

897 16.984

898 16.825

899 16.667

900 16.508


11/13

The third graph shows drastically increase in the

humidity from 170s to the 250s. This is because the heat from our body was unable

to escape and increase temperature in theplastic. The trapped heat then cause perspirationprocess to occur.

Since the sweat evaporate in the closed plastic

thus humidity of the air in the plastic increase. At 501s to 620s the humidity keep constant until

the plastic was removed. At 780s to the 850s the graph shows drastically

decrease in humidity. This is because, as the plastic was removed sweat

start to evaporate to the opened surroundingspace.


12/13

Reflection: Practical for Data Logging

After conducting this practical, we found that there are a lot of advantages of using

data logging device over the manual data collecting method. The most significant advantage

is measurement is always taken at the right time. Unlike human, the device will not miss totake a reading and data logger can collect data more often even at every second in which

humans normally cannot.

Besides that, all the usual mistakes made by human while taking the measurement can

be avoid when using this application. For example humans can make errors when they read

the temperature of a thermometer and the result is always not very accurate. But, by using

data logger all the possible error made by human can be eliminate and it can make

measurements with greater accuracy. Not only that, graphs and tables of results also can be

produced automatically by the data logging software since the data is available straight away

to be analyzed by the computer. In that case, it allows data to be shared easily among students

and allow the data to be analyzed much more easily than data collected by hand.

Furthermore, it frees our mind from difficulties in manual graph drawing.

Moreover, data logger can store and collect data independently and save data in

memory, therefore a person does not need to go and collect it. With this advantage, in the realpractical class situation students will have more time to relate practical to theory while the

measurement is recorded by the data logger. With this, the data logging software can give rise

to much discussion, asking question, writing-up the experiment and so on. Also, because of

the time saving factor when using data logging equipment, students will have opportunities to

re-doing the experiment to get better results and also gives students the opportunity to quickly

try out ideas with different data.


13/13

However, for a new user like us more practical need to be conducted because before a

data logging system can be used we need to consider a few things including what we want to

measure, what type of sensors we will use for our measuring, what range we will need our

sensors to take measurements, where we will position the sensors and over how long the

measurements will take place (the period of logging). Without proper training we might

encounter problem when dealing with this device. For example, the device might not operate as

what we want and we might take longer time to set up the equipment.

Despite all the advantages, data logger is very sensitive toward the surrounding condition.

Therefore, it is important to take into account all the outside parameters that may affect the result

of the experiments. In addition, teacher must be prepared to encourage their students to talk

about what they are doing and findings because while waiting for the device to take the reading,

students might spend their time talking about other things.

As conclusion, if data logging is to be successfully introduced into school laboratories

then teachers must look carefully at their teaching methods and be prepared because the effect

might turn the other way round.

Documents

Practical for Data Logging (Ict)