{"id":2077,"date":"2021-01-10T17:53:06","date_gmt":"2021-01-10T16:53:06","guid":{"rendered":"http:\/\/hamspirit.pl\/SQ9MDD\/?p=2077"},"modified":"2021-01-10T17:53:06","modified_gmt":"2021-01-10T16:53:06","slug":"pomiar-zanieczyszczenia-powietrza","status":"publish","type":"post","link":"https:\/\/sq9mdd.hamspirit.pl\/?p=2077","title":{"rendered":"Pomiar zanieczyszczenia powietrza."},"content":{"rendered":"

Po wielu testach r\u00f3\u017cnych czujnik\u00f3w, chyba w ko\u0144cu znalaz\u0142em ca\u0142kiem sensowny czujnik zanieczyszczenia powietrza. Urz\u0105dzenie nazywa si\u0119 Plantower PMS7003 i mo\u017cna je kupi\u0107 w ca\u0142kiem rozs\u0105dnej cenie.<\/p>\n

<\/p>\n

Wed\u0142ug ulotki marketingowej Plantower PMS7003 to:<\/p>\n

„Laserowy czujnik zanieczyszcze\u0144 powietrza cz\u0105steczkami PM1,0, PM2.5 oraz PM10.<\/em>
\nPozwala na precyzyjn\u0105 analiz\u0119 ilo\u015bci zanieczyszcze\u0144 w otoczeniu, ma niewielkie wymiary i wbudowany cichy wentylator przet\u0142aczaj\u0105cy.<\/em>
\nDane wyprowadzone s\u0105 na interfejs UART”<\/em><\/p>\n

Zaskoczony by\u0142em wymiarami tego czujnika kt\u00f3ry okaza\u0142 si\u0119 du\u017co mniejszy od modeli kt\u00f3re testowa\u0142em wcze\u015bniej. Urz\u0105dzenie jest skalibrowane fabrycznie i nie wymaga ingerencji u\u017cytkownika.
\nPrace nad programem rozpocz\u0105\u0142em od przeszukania sieci, gdzie znalaz\u0142em kilka gotowych program\u00f3w napisanych pod arduino i w pythonie. Z analizy tych program\u00f3w wynika ze dane s\u0105 przesy\u0142ane w formacie binarnym z sum\u0105 kontroln\u0105 co zapewnia integralno\u015b\u0107 danych odbieranych z czujnika.<\/p>\n

\"\"<\/a>

Czujnik pod\u0142\u0105czony do arduino<\/p><\/div>\n

W oparciu o te gotowe fragmenty oraz moje wcze\u015bniejsze wsady do komunikacji za pomoc\u0105 protoko\u0142u mysensors, przygotowa\u0142em program kt\u00f3ry wysy\u0142a dane do Domoticza. Dzi\u0119ki temu b\u0119d\u0119 m\u00f3g\u0142 gromadzi\u0107 trendy i przesy\u0142a\u0107 dane dalej na przyk\u0142ad do systemu APRS.<\/p>\n

Poni\u017cej gotowy kod programu:<\/p>\n

\/\/ **************************************************************\/\/\n\/\/ AS-500RVD\n\/\/ ARDUINO 2xVolt meter for solar panel and accumulator\n\/\/         PMS7003 dust sensor PM1, PM2.5, PM10\n\/\/ SQ9MDD @ 2019\n\/\/ **************************************************************\/\/\n\/\/ IO\n#define ai1 A0                                      \/\/AI1 B solar\n#define ai2 A1                                      \/\/AI2 A battery\n#define ONE_WIRE_BUS 4\n#define pms_RX  3\n#define pms_TX  0\n\n\/\/ radio \n#define MY_RADIO_NRF24\n\/\/#define MY_DEBUG                                  \/\/ Enable debug prints\n\/\/#define MY_GATEWAY_SERIAL                                         \/\/ Enable GW serial\n#define MY_REPEATER_FEATURE\n#define MY_NODE_ID      7                           \/\/ <--- !!! SET NODE ADDRESS HERE !!!\n#define MY_RF24_CHANNEL 70                          \/\/ channel from 0 to 125. 76 is default\n\n#include \n#include \n#include                                 \/\/ https:\/\/github.com\/PaulStoffregen\/Time\n#include                       \/\/ biblioteka do komunikacji z czujnikami DS18B20\n#include                                 \/\/ biblioteka do komunikacji z czujnikami one wire\n\n#define CHILD_ID_AI1     1                          \/\/ AI1 B solar\n#define CHILD_ID_AI2     2                          \/\/ AI2 A battery\n#define CHILD_ID_AI3     3                          \/\/ AI3 PM 1.0\n#define CHILD_ID_AI4     4                          \/\/ AI4 PM 2.5\n#define CHILD_ID_AI5     5                          \/\/ AI5 PM 10\n#define CHILD_ID_AI6     6                          \/\/ AI6 Temp sensor DS18B20\n\nSoftwareSerial pms(pms_RX, 0);                           \/\/ Rx, Tx\nOneWire oneWire(ONE_WIRE_BUS);\nDallasTemperature sensors(&oneWire);\n\nMyMessage msgAI1(CHILD_ID_AI1, V_VOLTAGE);\nMyMessage msgAI2(CHILD_ID_AI2, V_VOLTAGE);\nMyMessage msgAI3(CHILD_ID_AI3, V_LEVEL);\nMyMessage msgAI4(CHILD_ID_AI4, V_LEVEL);\nMyMessage msgAI5(CHILD_ID_AI5, V_LEVEL);\nMyMessage msgAI6(CHILD_ID_AI6, V_TEMP);             \/\/ AI6 Temperature\n\nint last_minute = 0;\nint last_second = 0;\nint ai1_raw = 0;\nint ai2_raw = 0;\nint PM_SP_UG_1_0, PM_SP_UG_2_5, PM_SP_UG_10_0;      \/\/ standard particles for indoor use\nint PM_AE_UG_1_0, PM_AE_UG_2_5, PM_AE_UG_10_0;      \/\/ atmospheric enviroment\nunsigned int weight = 10;                           \/\/ Max 64 min 1, (for optimization must be divide by 2) unsigned int = 0-65535, max from adc 1023 *64 = 65472 \nunsigned int ai1_avg = 0;\nunsigned int ai2_avg = 0;\nunsigned int pm1_avg = 0;\nunsigned int pm25_avg = 0;\nunsigned int pm10_avg = 0;\nfloat temp = 0.0;\nfloat temp_avg = 0.0;\n\nvoid receiveTime(uint32_t ts){\n  setTime(ts);  \n}\n\nbool pms_process(){\n  if (!pms.available()) {\n    return false;\n  }\n  uint8_t ch = pms.read();\n  static uint8_t dataIndex = 0;\n  static uint16_t checksum = 0;\n  static uint16_t calculatedChecksum = 0;\n  static uint16_t frameLen = 0;\n  static uint8_t payload[30];\n\n  switch (dataIndex) {\n    case 0:\n      if (ch != 0x42) {\n        return false;\n      }\n      calculatedChecksum = ch;\n      break;\n\n    case 1:\n      if (ch != 0x4D) {\n        dataIndex = 0;\n        return false;\n      }\n      calculatedChecksum += ch;\n      break;\n\n    case 2:\n      frameLen = ch << 8;\n      calculatedChecksum += ch;\n      break;\n\n    case 3:\n      frameLen |= ch;\n      calculatedChecksum += ch;\n      break;\n\n    default:\n      if (dataIndex == frameLen + 2) {\n        checksum = ch << 8;\n      } else if (dataIndex == frameLen + 2 + 1) {\n        checksum |= ch;\n\n        if (calculatedChecksum == checksum) {\n          PM_SP_UG_1_0 = (((uint16_t)payload[0]) << 8) | payload[1];\n          PM_SP_UG_2_5 = (((uint16_t)payload[2]) << 8) | payload[3];\n          PM_SP_UG_10_0 = (((uint16_t)payload[4]) << 8) | payload[5];\n\n          PM_AE_UG_1_0 = (((uint16_t)payload[6]) << 8) | payload[7];\n          PM_AE_UG_2_5 = (((uint16_t)payload[8]) << 8) | payload[9];\n          PM_AE_UG_10_0 = (((uint16_t)payload[10]) << 8) | payload[11];\n        } else {\n          \/\/Serial.println(\"Error checksum\");\n        }\n\n        dataIndex = 0;\n        return true;\n      } else {\n        calculatedChecksum += ch;\n        uint8_t payloadIndex = dataIndex - 4;\n\n        if (payloadIndex < sizeof(payload)) {\n          payload[payloadIndex] = ch;\n        }\n      }\n  }\n  dataIndex++;\n  return false;\n}\n\nvoid presentation(){\n  char etykieta[] = \"       \";\n  int addr = MY_NODE_ID;   \n  sendSketchInfo(\"AS-500RVD\", \"1.2\");\n  sprintf(etykieta,\"R%02u.AI1\",addr);     present(CHILD_ID_AI1, S_MULTIMETER, etykieta);\n  sprintf(etykieta,\"R%02u.AI2\",addr);     present(CHILD_ID_AI2, S_MULTIMETER, etykieta);\n  sprintf(etykieta,\"R%02u.PM1\",addr);     present(CHILD_ID_AI3, S_DUST, etykieta); \n  sprintf(etykieta,\"R%02u.PM2.5\",addr);   present(CHILD_ID_AI4, S_DUST, etykieta);\n  sprintf(etykieta,\"R%02u.PM10\",addr);    present(CHILD_ID_AI5, S_DUST, etykieta); \n  sprintf(etykieta,\"R%02u.AI6\",addr);     present(CHILD_ID_AI6, S_TEMP, etykieta);\n}\n\nvoid setup(){  \n  pms.begin(9600);\n  analogReference(INTERNAL);\n  pinMode(ai1, INPUT);\n  pinMode(ai2, INPUT);\n  delay(1000);\n  ai1_avg = analogRead(ai1);\n  ai2_avg = analogRead(ai2);\n  while(pms_process() == false);                  \/\/ wait for data from PMS7003 dust sensor\n    pm1_avg = PM_AE_UG_1_0;\n    pm25_avg = PM_AE_UG_2_5;\n    pm10_avg = PM_AE_UG_10_0;    \n  requestTime();\n  \/\/sensors.begin();\n  \n  float ai1_vf = (ai1_avg * 0.019775549434047);  \/\/ B solar\n  float ai2_vf = (ai2_avg * 0.019930533806591);  \/\/ A battery  \n  int batteryPcnt = map(ai2_avg,530,683,20,100);\n  batteryPcnt = constrain(batteryPcnt,0,100);  \n\n  sensors.requestTemperatures();\n  temp = sensors.getTempCByIndex(0);\n  temp_avg = temp;\n  \n  send(msgAI1.set(ai1_vf, 2)); \n  send(msgAI2.set(ai2_vf, 2)); \n  send(msgAI3.set(pm1_avg, 0));\n  send(msgAI4.set(pm25_avg, 0));\n  send(msgAI5.set(pm10_avg, 0));\n  send(msgAI6.set(temp_avg, 1));\n  sendBatteryLevel(batteryPcnt);\n}\n\nvoid loop(){\n  \/\/filtering readings dust\n  if (pms_process()) {\n    pm1_avg = (PM_AE_UG_1_0*(weight-1) + pm1_avg) \/ weight;\n    pm25_avg = (PM_AE_UG_2_5*(weight-1) + pm25_avg) \/ weight;\n    pm10_avg = (PM_AE_UG_10_0*(weight-1) + pm10_avg) \/ weight;\n  }  \n  if (second() != last_second){\n    ai1_raw = analogRead(ai1);\n    ai2_raw = analogRead(ai2);\n    sensors.requestTemperatures();\n    temp = sensors.getTempCByIndex(0);\n    \n\n    \/\/ filtering readings voltage\n    ai1_avg = (ai1_avg*(weight-1) + ai1_raw) \/ weight;\n    ai2_avg = (ai2_avg*(weight-1) + ai2_raw) \/ weight;  \n    temp_avg =  (temp_avg*(weight-1) + temp) \/ weight;  \n    last_second = second(); \n  }\n  \n  if (minute() != last_minute){    \n    \/\/ ((1e6+470e3)\/470e3)*1.1 = Vmax\n    \/\/ Vmax\/1023 = Volts per bit = 0.0212\n    float ai1_vf = (ai1_avg * 0.019775549434047);  \/\/ B solar\n    float ai2_vf = (ai2_avg * 0.019930533806591);  \/\/ A battery\n\n    \/\/ calculating battery percent (ADC 519 = 10,5V, ADC 668 = 13,5V)\n    \/\/ accu: \n    \/\/ 13,5V = 100% ADC: 683 ---------\n    \/\/ 12,5V = 80%                    | \n    \/\/ 11,0V = 20%\n    \/\/ 10,5V = 0%   ADC: 530 -----    |\n    \/\/ 10,5V = 0% battery dead    |   |\n    int batteryPcnt = map(ai2_avg,530,683,20,100);\n    batteryPcnt = constrain(batteryPcnt,0,100);     \n    \n    send(msgAI1.set(ai1_vf, 2)); \n    send(msgAI2.set(ai2_vf, 2)); \n    send(msgAI3.set(pm1_avg, 0));\n    send(msgAI4.set(pm25_avg, 0));\n    send(msgAI5.set(pm10_avg, 0));\n    send(msgAI6.set(temp_avg, 1));\n    sendBatteryLevel(batteryPcnt);\n    \n    last_minute = minute();\n  }\n}\n<\/pre>\n
Czujnik wraz z arduino postanowi\u0142em zainstalowa\u0107 na balkonie w zwi\u0105zku z tym do kodu dorzuci\u0142em te\u017c odczyt temperatury, oraz dwa pomiary napi\u0119cia, kt\u00f3re wykorzystam do opomiarowania panela s\u0142onecznego.
\nOczywi\u015bcie przygotowa\u0142em te\u017c projekt estetycznej obudowy by ca\u0142y projekt zabezpieczy\u0107 przed przypadkowym uszkodzeniem. Rysunki przygotowa\u0142em w programie Fusion360. A nast\u0119pnie wydrukowa\u0142em na drukarce 3D.<\/p>\n
\"\"<\/a>
Okno programu Fusion 360<\/p><\/div>\n
Gotowa obudowa \u0142atwo pomie\u015bci\u0142a wszystkie niezb\u0119dne elementy.<\/p>\n
\"\"<\/a>
Czujnik w obudowie.<\/p><\/div>\n
Gotow\u0105 obudow\u0119 mo\u017cna \u015bci\u0105gn\u0105\u0107 z serwisu Thingiverse, pliki znajduj\u0105 si\u0119 pod tym adresem:<\/p>\n
https:\/\/www.thingiverse.com\/thing:4716558<\/a><\/p>\n
Po zamontowaniu \u015bcianek, frontowej i tylnej pod\u0142\u0105czy\u0142em uk\u0142ad do zasilania i obserwuj\u0119 w Domoticzu sp\u0142ywaj\u0105ce dane.<\/p>\n
\"\"<\/a>
Odczyt danych w domoticzu.<\/p><\/div>\n
Dane z Domoticza do systemu APRS przesy\u0142am za pomoc\u0105 skryptu WxDomoPY kt\u00f3ry mo\u017cna znale\u017a\u0107 na githubie pod tym adresem:<\/p>\n
https:\/\/github.com\/SQ9MDD\/WXDomoPy<\/a><\/p>\n
\"\"<\/a><\/p>\n
R.<\/p>\n","protected":false},"excerpt":{"rendered":"
Po wielu testach r\u00f3\u017cnych czujnik\u00f3w, chyba w ko\u0144cu znalaz\u0142em ca\u0142kiem sensowny czujnik zanieczyszczenia powietrza. Urz\u0105dzenie nazywa si\u0119 Plantower PMS7003 i mo\u017cna je kupi\u0107 w ca\u0142kiem rozs\u0105dnej cenie.<\/p>\n","protected":false},"author":2,"featured_media":2081,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4,6,10,11],"tags":[],"class_list":["post-2077","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-aprs","category-arduino","category-diy","category-domoticz"],"_links":{"self":[{"href":"https:\/\/sq9mdd.hamspirit.pl\/index.php?rest_route=\/wp\/v2\/posts\/2077","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sq9mdd.hamspirit.pl\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sq9mdd.hamspirit.pl\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sq9mdd.hamspirit.pl\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/sq9mdd.hamspirit.pl\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2077"}],"version-history":[{"count":0,"href":"https:\/\/sq9mdd.hamspirit.pl\/index.php?rest_route=\/wp\/v2\/posts\/2077\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sq9mdd.hamspirit.pl\/index.php?rest_route=\/wp\/v2\/media\/2081"}],"wp:attachment":[{"href":"https:\/\/sq9mdd.hamspirit.pl\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2077"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sq9mdd.hamspirit.pl\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2077"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sq9mdd.hamspirit.pl\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2077"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}