{
"metadata": {
"name": "ALTIMET_test"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Uk\u00e1zka pou\u017eit\u00ed n\u00e1stroje IPython na manipulaci se senzorov\u00fdmi daty\n",
"=======\n",
"\n",
"P\u0159\u00edklad vyu\u017e\u00edv\u00e1 moduluvou stavebnici MLAB a jej\u00ed knihovnu https://github.com/MLAB-project/MLAB-I2c-modules \n",
"\n",
"Zprovozn\u011bn\u00ed demo k\u00f3du\n",
"---------------------\n",
"\n",
"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"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"!i2cdetect -l"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"i2c-0\tsmbus \tCP2112 SMBus Bridge on hiddev0 \tSMBus adapter\r\n",
"i2c-1\ti2c \ti2c-tiny-usb at bus 001 device 007\tI2C adapter\r\n",
"i2c-2\ti2c \ti915 gmbus ssc \tI2C adapter\r\n",
"i2c-3\ti2c \ti915 gmbus vga \tI2C adapter\r\n",
"i2c-4\ti2c \ti915 gmbus panel \tI2C adapter\r\n",
"i2c-5\ti2c \ti915 gmbus dpc \tI2C adapter\r\n",
"i2c-6\ti2c \ti915 gmbus dpb \tI2C adapter\r\n",
"i2c-7\ti2c \ti915 gmbus dpd \tI2C adapter\r\n",
"i2c-8\ti2c \tDPDDC-B \tI2C adapter\r\n"
]
}
],
"prompt_number": 1
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"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",
"\n",
"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"
]
},
{
"cell_type": "raw",
"metadata": {},
"source": [
"KERNEL==\"i2c-[0-9]*\", GROUP=\"i2c\""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Toto ozna\u010den\u00ed budeme je\u0161t\u011b d\u00e1le pot\u0159ebovat, proto si jej ulo\u017e\u00edme da prom\u011bnn\u00e9. "
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"port = 1"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 2
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Budeme pokra\u010dovat na\u010dten\u00edm pot\u0159ebn\u00fdch modul\u016f pro zach\u00e1zen\u00ed s I\u00b2C sn\u00edma\u010di."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import time\n",
"import datetime\n",
"import sys\n",
"import serial\n",
"\n",
"from pymlab import config\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 3
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Nyn\u00ed si nadefinujeme strukturu p\u0159ipojen\u00ed jednotliv\u00fdch \u010didel na I\u00b2C sb\u011brnici."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"cfg = config.Config(\n",
" port = port,\n",
" bus = [\n",
" {\n",
" \"type\": \"i2chub\",\n",
" \"address\": 0x72,\n",
" \n",
" \"children\": [\n",
" {\"name\": \"altimet\", \"type\": \"altimet01\" , \"channel\": 7, }, \n",
" ],\n",
" },\n",
" ],\n",
")"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 4
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Tuto strukturu inicializujeme, aby jsme dos\u00e1hli definovan\u00e9 konfigurace \u010didel."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"cfg.initialize()\n",
"gauge = cfg.get_device(\"altimet\")\n",
"time.sleep(0.5)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 5
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Nyn\u00ed u\u017e m\u016f\u017eeme p\u0159\u00edmo komunikovat se za\u0159\u00edzen\u00edm pojmenovan\u00fdm jako gauge."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"MEASUREMENTS = 100\n",
"t = np.zeros(MEASUREMENTS)\n",
"p = np.zeros(MEASUREMENTS)\n",
"\n",
"for n in range(MEASUREMENTS):\n",
"# 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",
" (t[n], p[n]) = gauge.get_tp()\n",
" print(n,t[n], p[n])"
],
"language": "python",
"metadata": {},
"outputs": [
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],
"prompt_number": 21
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"np.savez(\"data_ground\", t, p)\n",
"#np.savez(\"data_top\", t, p)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 22
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"amin(p)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 23,
"text": [
"94864.0"
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}
],
"prompt_number": 23
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"amax(p)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 24,
"text": [
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},
{
"cell_type": "code",
"collapsed": false,
"input": [
"std(p)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 25,
"text": [
"2.1005044037087854"
]
}
],
"prompt_number": 25
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"plt.plot(p)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 26,
"text": [
"[<matplotlib.lines.Line2D at 0x396eed0>]"
]
},
{
"output_type": "display_data",
"png": 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ba1+brKSpiY2MHjoUGDeOGRCnjoxuaGCmSIlDHz1a+4hfpZGL0KFfvMhOOFJXsWqRFfTl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\ngQSdIAjCJZCgEwRBuAQSdIIgCJfw/31tYjp3QHiTAAAAAElFTkSuQmCC\n"
}
],
"prompt_number": 26
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"plt.plot(t)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 27,
"text": [
"[<matplotlib.lines.Line2D at 0x399a4d0>]"
]
},
{
"output_type": "display_data",
"png": 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}
],
"prompt_number": 27
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": []
}
],
"metadata": {}
}
]
}