Rev Author Line No. Line
3522 kaklik 1 {
2 "metadata": {
3524 kaklik 3 "name": ""
3522 kaklik 4 },
5 "nbformat": 3,
6 "nbformat_minor": 0,
7 "worksheets": [
8 {
9 "cells": [
10 {
11 "cell_type": "markdown",
12 "metadata": {},
13 "source": [
14 "Uk\u00e1zka pou\u017eit\u00ed n\u00e1stroje IPython na manipulaci se senzorov\u00fdmi daty\n",
15 "=======\n",
16 "\n",
17 "P\u0159\u00edklad vyu\u017e\u00edv\u00e1 moduluvou stavebnici MLAB a jej\u00ed knihovnu https://github.com/MLAB-project/MLAB-I2c-modules \n",
18 "\n",
19 "Zprovozn\u011bn\u00ed demo k\u00f3du\n",
20 "---------------------\n",
21 "\n",
22 "Nejd\u0159\u00edve zjist\u00edme zda m\u00e1me p\u0159\u00edstup pro z\u00e1pis a \u010dten\u00ed do syst\u00e9mov\u00e9ho za\u0159\u00edzen\u00ed. A jak\u00e9 \u010d\u00edslo m\u00e1 I\u00b2C sb\u011brnice na kterou m\u00e1me p\u0159ipojen\u00e1 \u010didla. \n"
23 ]
24 },
25 {
26 "cell_type": "code",
27 "collapsed": false,
28 "input": [
29 "!i2cdetect -l"
30 ],
31 "language": "python",
32 "metadata": {},
33 "outputs": [
34 {
35 "output_type": "stream",
36 "stream": "stdout",
37 "text": [
3524 kaklik 38 "i2c-5\ti2c \ti2c-tiny-usb at bus 002 device 008\tI2C adapter\r\n",
39 "i2c-0\ti2c \tintel drm CRTDDC_A \tI2C adapter\r\n",
40 "i2c-1\ti2c \tintel drm LVDSBLC_B \tI2C adapter\r\n",
41 "i2c-2\ti2c \tintel drm LVDSDDC_C \tI2C adapter\r\n",
42 "i2c-3\ti2c \tintel drm HDMIB \tI2C adapter\r\n",
43 "i2c-4\ti2c \tDPDDC-B \tI2C adapter\r\n"
3522 kaklik 44 ]
45 }
46 ],
47 "prompt_number": 1
48 },
49 {
50 "cell_type": "markdown",
51 "metadata": {},
52 "source": [
53 "Proto\u017ee pro p\u0159ipojen\u00ed \u010didel k po\u010d\u00edta\u010di pou\u017e\u00edv\u00e1me adapt\u00e9r i2c-tiny-usb. Vid\u00edme, \u017ee sb\u011brnice m\u00e1 aktu\u00e1ln\u011b ozna\u010den\u00ed nap\u0159\u00edklad i2c-8. \n",
54 "\n",
55 "V p\u0159\u00edpad\u011b, \u017ee v\u00fd\u0161e uveden\u00fd p\u0159\u00edklad vr\u00e1t\u00ed chybu, nebo pojmenov\u00e1n\u00ed \"unknown\" tak nem\u00e1me p\u0159\u00edstup k syst\u00e9mov\u00fdm rozhran\u00edm. Ten z\u00edsk\u00e1me vytvo\u0159en\u00edm souboru s n\u00e1sleduj\u00edc\u00edm obsahem ve slo\u017ece: /etc/udev/rules.d/i2c-devices.rules"
56 ]
57 },
58 {
59 "cell_type": "raw",
60 "metadata": {},
61 "source": [
62 "KERNEL==\"i2c-[0-9]*\", GROUP=\"i2c\""
63 ]
64 },
65 {
66 "cell_type": "markdown",
67 "metadata": {},
68 "source": [
69 "Toto ozna\u010den\u00ed budeme je\u0161t\u011b d\u00e1le pot\u0159ebovat, proto si jej ulo\u017e\u00edme da prom\u011bnn\u00e9. "
70 ]
71 },
72 {
73 "cell_type": "code",
74 "collapsed": false,
75 "input": [
3524 kaklik 76 "port = 5"
3522 kaklik 77 ],
78 "language": "python",
79 "metadata": {},
80 "outputs": [],
81 "prompt_number": 2
82 },
83 {
84 "cell_type": "markdown",
85 "metadata": {},
86 "source": [
87 "Budeme pokra\u010dovat na\u010dten\u00edm pot\u0159ebn\u00fdch modul\u016f pro zach\u00e1zen\u00ed s I\u00b2C sn\u00edma\u010di."
88 ]
89 },
90 {
91 "cell_type": "code",
92 "collapsed": false,
93 "input": [
94 "import time\n",
95 "import datetime\n",
96 "import sys\n",
97 "\n",
98 "from pymlab import config\n",
99 "import matplotlib.pyplot as plt\n",
100 "import numpy as np"
101 ],
102 "language": "python",
103 "metadata": {},
104 "outputs": [],
105 "prompt_number": 3
106 },
107 {
108 "cell_type": "markdown",
109 "metadata": {},
110 "source": [
111 "Nyn\u00ed si nadefinujeme strukturu p\u0159ipojen\u00ed jednotliv\u00fdch \u010didel na I\u00b2C sb\u011brnici."
112 ]
113 },
114 {
115 "cell_type": "code",
116 "collapsed": false,
117 "input": [
118 "cfg = config.Config(\n",
119 " port = port,\n",
120 " bus = [\n",
121 " {\n",
122 " \"type\": \"i2chub\",\n",
123 " \"address\": 0x72,\n",
124 " \n",
125 " \"children\": [\n",
126 " {\"name\": \"altimet\", \"type\": \"altimet01\" , \"channel\": 7, }, \n",
127 " ],\n",
128 " },\n",
129 " ],\n",
130 ")"
131 ],
132 "language": "python",
133 "metadata": {},
134 "outputs": [],
135 "prompt_number": 4
136 },
137 {
138 "cell_type": "markdown",
139 "metadata": {},
140 "source": [
141 "Tuto strukturu inicializujeme, aby jsme dos\u00e1hli definovan\u00e9 konfigurace \u010didel."
142 ]
143 },
144 {
145 "cell_type": "code",
146 "collapsed": false,
147 "input": [
148 "cfg.initialize()\n",
149 "gauge = cfg.get_device(\"altimet\")\n",
150 "time.sleep(0.5)"
151 ],
152 "language": "python",
153 "metadata": {},
154 "outputs": [],
155 "prompt_number": 5
156 },
157 {
158 "cell_type": "markdown",
159 "metadata": {},
160 "source": [
161 "Nyn\u00ed u\u017e m\u016f\u017eeme p\u0159\u00edmo komunikovat se za\u0159\u00edzen\u00edm pojmenovan\u00fdm jako gauge."
162 ]
163 },
164 {
165 "cell_type": "code",
166 "collapsed": false,
167 "input": [
168 "MEASUREMENTS = 100\n",
169 "t = np.zeros(MEASUREMENTS)\n",
170 "p = np.zeros(MEASUREMENTS)\n",
171 "\n",
172 "for n in range(MEASUREMENTS):\n",
173 "# gauge.route() V p\u0159\u00edpad\u011b v\u00edce \u010didel je pot\u0159eba ke ka\u017ed\u00e9mu p\u0159ed jeho pou\u017eit\u00edm nechat vyroutovat cesutu na sb\u011brnici.\n",
174 " (t[n], p[n]) = gauge.get_tp()\n",
175 " print(n,t[n], p[n])"
176 ],
177 "language": "python",
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3522 kaklik 981 },
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1002 "outputs": [
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uFWKzgq6nwkWkd2/tk+SFC6zWnocIUFPQS0pKUFhYiCNHjiA7Oxtr167Fj3/8Y2zZsgU5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\n3AENN2mnAAAAAElFTkSuQmCC\n",
1075 "text": [
1076 "<matplotlib.figure.Figure at 0x9eb46cc>"
1077 ]
3522 kaklik 1078 }
1079 ],
3524 kaklik 1080 "prompt_number": 9
3522 kaklik 1081 },
1082 {
1083 "cell_type": "code",
1084 "collapsed": false,
1085 "input": [
1086 "plt.plot(t)"
1087 ],
1088 "language": "python",
1089 "metadata": {},
1090 "outputs": [
1091 {
3524 kaklik 1092 "metadata": {},
3522 kaklik 1093 "output_type": "pyout",
3524 kaklik 1094 "prompt_number": 11,
3522 kaklik 1095 "text": [
3524 kaklik 1096 "[<matplotlib.lines.Line2D at 0x9ee51ec>]"
3522 kaklik 1097 ]
1098 },
1099 {
3524 kaklik 1100 "metadata": {},
3522 kaklik 1101 "output_type": "display_data",
3524 kaklik 1102 "png": 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1103 "text": [
1104 "<matplotlib.figure.Figure at 0x9d764cc>"
1105 ]
3522 kaklik 1106 }
1107 ],
3524 kaklik 1108 "prompt_number": 11
3522 kaklik 1109 },
1110 {
1111 "cell_type": "code",
1112 "collapsed": false,
1113 "input": [],
1114 "language": "python",
1115 "metadata": {},
1116 "outputs": []
1117 }
1118 ],
1119 "metadata": {}
1120 }
1121 ]
1122 }