{"id":7086,"date":"2016-04-27T23:41:12","date_gmt":"2016-04-27T15:41:12","guid":{"rendered":"http:\/\/www.ifroglab.com\/?p=7086"},"modified":"2018-05-15T14:28:28","modified_gmt":"2018-05-15T06:28:28","slug":"il-lora1272-%e8%b6%85%e9%81%a0%e7%ab%af%e8%b3%87%e6%96%99%e5%82%b3%e9%81%9e%e6%a8%a1%e7%b5%84","status":"publish","type":"post","link":"https:\/\/www.ifroglab.com\/tw\/?p=7086","title":{"rendered":"iFrpgLab LoRa, iL-LORA1272 \u8d85\u9060\u7aef15\u516c\u91cc\u8cc7\u6599\u50b3\u905e\u6a21\u7d44 \u66f4\u65b0\u97cc\u9ad41.1\u7248"},"content":{"rendered":"
\n

LoRa\u5c55\u983b\u901a\u8a0a\u6280\u8853\u70ba\u57fa\u790e\u7684\u8d85\u9577\u8ddd\u96e2\u4f4e\u529f\u8017\u7269\u806f\u7db2\u57ce\u5e02\u9598\u9053\u5668\u89e3\u6c7a\u65b9\u6848
\n868\/900\/915 MHz\u7684\u901a\u8a0a\u6a21\u7d44\u3002<\/p>\n<\/div>\n

\u7279\u8272\uff1a<\/h2>\n
1.\u53f0\u7063\u88fd\u9020<\/div>\n
2.\u771f\u6b63UART \u76f4\u63a5\u63a7\u5236,\u4e0d\u9700\u8981\u4e86\u89e3LORA\u7684\u8907\u96dc\u50b3\u8f38\u6982\u5ff5.<\/div>\n
3. \u53ef\u76f4\u63a5\u8ddfRaspberry Pi \u9023\u63a5<\/div>\n
4. \u53ef\u4ee5\u76f4\u63a5\u8ddfArduino\u9023\u63a5<\/div>\n
5. \u5be6\u969b\u6e2c\u8a66\u53ef\u4ee5\u5230\u90543km\u9060,\u5feb\u901f\u7684\u5b8c\u6210iOT\u7684\u9060\u7aef\u63a7\u5236\uff01<\/div>\n
6.\u5730\u4e0b2\u6a13\u767c\u5c04\u8cc7\u6599.\u53ef\u4ee5\u5728\u6a13\u4e0a\u516d\u6a13\u8f15\u6613\u5730\u6536\u5230.,\u53ef\u4ee5\u76f4\u63a5\u53d6\u4ee3\u6389Zigbee and Zwave\u7b49\u7db2\u8def\u6280\u8853!<\/div>\n
7. \u50b3\u905e\u7684\u8cc7\u6599\u53ef\u4ee5\u7a7f\u7246\u7a7f\u5730\u3002<\/div>\n
8. \u63d0\u4f9b \u6a39\u8393\u6d3e \u548cArduino \u7684\u7bc4\u4f8b\u7a0b\u5f0f 10 \u500b\u7bc4\u4f8b\u7a0b\u5f0f https:\/\/github.com\/iFrogLab\/IL-LORA1272<\/a><\/div>\n
<\/div>\n
\n

**201708\u5168\u65b0\u7248\u672c \u97cc\u9ad4\u5168\u9762\u66f4\u65b0\u70ba1.1\u7248** *****************************<\/p>\n

\u589e\u52a0\u65b0\u529f\u80fd\u5982\u4e0b\uff1a<\/p>\n

1.\u589e\u52a0RF \u7aef CRC\u6aa2\u67e5\u78bc\u3002<\/p>\n

2.\u652f\u63f4\u4f11\u7720\u6a21\u5f0f\u529f\u80fd\uff0c\u53ef\u4ee5\u63d0\u4f9b\u4f4e\u8017\u96fb\u6a21\u5f0f\u3002<\/p>\n

3. \u63a5\u6536\u901a\u77e5\u6a21\u5f0f-\u53ef\u4ee5\u8b93\u7cfb\u7d71\u9032\u5165\u7761\u7720\u6a21\u5f0f\uff0c\u7b49\u5f85LoRa\u559a\u9192<\/p>\n

\u00a0 \u00a0 \u53ca\u529f\u80fd\u63cf\u8ff0 -Rx mode\u4e0b\uff0c\u7576\u6709\u63a5\u6536\u5230\u8cc7\u6599\u6642\uff0cIRQ Pin\u6703\u7531Lo To Hi\uff0c<\/p>\n

\u00a0 \u00a0 \u00a0 \u7576\u4e0b\u8b80\u53d6\u8cc7\u6599\u547d\u4ee4\u4e4b\u5f8c\uff0cIRQ Pin\u6703\u7531Hi To Lo\u3002<\/p>\n

*********************************************************************<\/p>\n<\/div>\n

<\/div>\n

\u5feb\u901f\u4e0a\u624b:<\/h2>\n
\u00a0\u4f7f\u7528\u548c\u6559\u5b78\u8acb\u9ede\u9078\u9019\u88e1<\/a><\/div>\n
<\/div>\n

\u7dda\u4e0a\u8cfc\u8cb7\uff1a<\/h2>\n
<\/div>\n
\u9019\u88e1<\/a>\u00a0\u548c \u9732\u5929\u62cd\u8ce3<\/a><\/div>\n
\n

\u786c\u9ad4\u6548\u80fd\uff1a<\/h2>\n
    \n
  • \u983b\u7387\u7bc4\u570d\uff1a \u00a0 \u00a0868\/ 915MHz<\/li>\n
  • Modulation\uff1aFSK \/ GFSK \/ MSK \/ LORA<\/li>\n
  • SPI\u8cc7\u6599Interface Sensitivity\uff1a-137dBm<\/li>\n
  • \u8f38\u51fa\u529f\u7387\uff1a+ 20dBm\u7684\u6578\u64da\u50b3\u8f38\u7387\uff1a<300 kbps\u7684127\u5206\u8c9d\u52d5\u614b\u7bc4\u570dRSSI\u512a\u79c0\u963b\u585e\u514d\u75ab\u529b\u5e8f\u8a00\u6aa2\u6e2c\u81ea\u52d5RF\u611f\u548cCAD\u986f\u793a\u5668\u5167\u7f6e\u4f4d\u540c\u6b65\u6642\u9418\u6062\u5fa9\u6578\u64da\u5305\u5f15\u64ce\u5230\u8207CRC 256\u5b57\u7bc0<\/li>\n
  • \u5de5\u4f5c\u6eab\u5ea6\uff1a-40\u00b0C\u301c+ 80\u00b0C\u5167\u7f6e\u7684\u6eab\u5ea6\u50b3\u611f\u5668<\/li>\n
  • \u5f85\u6a5f\u96fb\u6d41\uff1a\u22641uA<\/li>\n
  • \u96fb\u6e90\u96fb\u58d3\uff1a1.8\u301c3.6V \u00a0\u8acb\u6ce8\u610f\u662f3.3V \u4e0d\u662f5V<\/span>
    \nIL-LORA1272\u662f\u4e00\u7a2e\u4f4e\u6210\u672c\u7684\u5c04\u983b\u524d\u7aef\u6536\u767c\u6a21\u7d44\u3002\u7c21\u5316\u4e86\u96fb\u8def\u8a2d\u8a08\u3002\u5728Lora\u8abf\u88fd\u548c20dBm\u7684\u9ad8\u529f\u7387\u8f38\u51fa\u7684\u9ad8\u9748\u654f\u5ea6\uff08-137dBm\uff09\u4f7f\u6a21\u7d44\u9069\u5408\u65bc\u4f4e\u7bc4\u570d\u548c\u4f4e\u6578\u64da\u901f\u7387\u61c9\u7528\u3002<\/li>\n<\/ul>\n

    IL-LORA1272\u6a21\u7d44\u7531RFIC SX1272\u548c\u5305\u62ec\u529f\u80fd\u5f37\u5927\u7684MCU\uff0c\u8d85\u8584\u8cbc\u7247\u6676\u632f\u548c\u5929\u7dda\u5339\u914d\u96fb\u8def\u3002\u5929\u7dda\u63a5\u8173\u6709\u6a19\u6e96\u768450\u6b50\u59c6\u3002\u7528\u6236\u53ea\u8981\u8cfc\u8cb7\u5c31\u80fd\u76f4\u63a5\u4f7f\u7528\u3002
    \nIL-LORA1272\u5de5\u4f5c\u57281.8\u301c3.6V\u7279\u4f4e\u5f85\u6a5f\u96fb\u6d41\uff0c\u9069\u7528\u65bc\u96fb\u6c60\u4f9b\u96fb\u3002\u7531\u65bcIL-LORA1272\u662f\u7d14\u786c\u4ef6\u6a21\u7d44\u548c\u63a1\u7528\u70ba\u00b110ppm\u7684\u6676\u9ad4\uff0c<\/p>\n

    \u4f7f\u7528IL-LORA1272\u6a21\u7d44\u53ea\u9700\u901a\u904eUART\u4f86\u63a7\u5236\u8a72\u6a21\u7d44\uff0c\u5c31\u80fd\u5920\u50b3\u905e\uff0c\u4e26\u6613\u65bc\u4f7f\u7528\u7684\u6a21\u584a\u4e2d\u7684\u6700\u4f73\u6027\u80fd\u3002<\/p>\n<\/div>\n

    <\/div>\n

    IL-LORA1272\u6a21\u7d44\u63d0\u4f9b\u7d66\u9060\u7aef\u5927\u5bb9\u91cf\u8cc7\u6599\u806f\u7d50\u7db2\u8def\u7cfb\u7d71\u89e3\u6c7a\u65b9\u6848\u7684\u95dc\u9375\u901a\u8a0a\u5143\u4ef6\u3002 LoRa\u2122\u64f4\u983b\u6280\u8853\u3002 \u6b64\u6280\u8853\u958b\u59cb\u51fa\u73fe\u65bc\u7b2c\u4e8c\u6b21\u4e16\u754c\u5927\u6230\uff0c\u662f\u7f8e\u8ecd\u91cd\u8981\u7684\u7121\u7dda\u4fdd\u5bc6\u901a\u4fe1\u6280\u8853\u3002\u4f46\u76f4\u5230\u4eca\u5929\uff0c\u64f4\u983b\u6280\u8853\u624d\u4f5c\u70ba\u4f4e\u6210\u672c\u89e3\u6c7a\u65b9\u6848\u61c9\u7528\u81f3\u611f\u6e2c\u5668\u7db2\u8def\u3002\u64f4\u983b\u6280\u8853\u6709\u5e7e\u9805\u7279\u9ede\u5982\u4e0b
    \n\u6297\u5e72\u64fe: \u662f\u64f4\u983b\u901a\u4fe1\u4e3b\u8981\u7279\u6027\u4e4b\u4e00, \u56e0\u4fe1\u865f\u63a5\u6536\u9700\u8981\u64f4\u983b\u7de8\u78bc\u9032\u884c\u76f8\u95dc\u89e3\u64f4\u8655\u7406\u624d\u80fd\u5f97\u5230\uff0c\u6240\u4ee5\u5373\u4f7f\u4ee5\u540c\u985e\u578b\u4fe1\u865f\u9032\u884c\u5e72\u64fe\uff0c\u5728\u4e0d\u77e5\u9053\u4fe1\u865f\u7684\u64f4\u983b\u78bc\u7684\u60c5\u6cc1\u4e0b\uff0c\u7531\u65bc\u4e0d\u540c\u64f4\u983b\u7de8\u78bc\u4e4b\u9593\u7684\u4e0d\u540c\u7684\u76f8\u95dc\u6027\uff0c\u5e72\u64fe\u4e5f\u4e0d\u8d77\u4f5c\u7528\u3002\u6b63\u56e0\u70ba\u64f4\u983b\u6280\u8853\u6297\u5e72\u64fe\u6027\u5f37\uff0c\u7f8e\u570b\u8ecd\u65b9\u5728\u6ce2\u7063\u6230\u722d\u7b49\u8655\u5ee3\u6cdb\u63a1\u7528\u64f4\u983b\u6280\u8853\u7684\u7121\u7dda\u901a\u8a0a\u4f86\u9023\u63a5\u5206\u4f48\u5728\u4e0d\u540c\u5340\u57df\u7684\u7db2\u8def\u3002
    \n\u96b1\u853d\u6027\u597d: \u56e0\u70ba\u4fe1\u865f\u5728\u5f88\u5bec\u7684\u983b\u5e36\u4e0a\u88ab\u64f4\u5c55\uff0c\u55ae\u4f4d\u5e36\u5bec\u4e0a\u7684\u529f\u7387\u5f88\u5c0f\uff0c\u5373\u4fe1\u865f\u529f\u7387\u8b5c\u5bc6\u5ea6\u5f88\u4f4e\uff0c\u4fe1\u865f\u6df9\u6c92\u5728\u767d\u96dc\u8a0a\u4e4b\u4e2d\uff0c\u5225\u4eba\u96e3\u4ee5\u767c\u73fe\u4fe1\u865f\u7684\u5b58\u5728\uff0c\u52a0\u4e4b\u4e0d\u77e5\u64f4\u983b\u7de8\u78bc\uff0c\u5f88\u96e3\u62fe\u53d6\u6709\u7528\u4fe1\u865f\uff0c\u800c\u6975\u4f4e\u7684\u529f\u7387\u8b5c\u5bc6\u5ea6\uff0c\u4e5f\u5f88\u5c11\u5c0d\u65bc\u5176\u4ed6\u96fb\u8a0a\u8a2d\u5099\u69cb\u6210\u5e72\u64fe\u3002<\/p>\n

    LoRa\u6280\u8853\u7cfb\u5217\u7522\u54c1\u5728\u7f8e\u570b\u3001\u6b50\u76df\u3001\u4e2d\u570b\u548c\u65e5\u672c\u76e3\u7ba1\u6a5f\u69cb\u8a2d\u5b9a\u7684\u9650\u5236\u5167\u5de5\u4f5c\u6642\uff0c\u53ef\u5c07\u90ca\u5340\u7684\u8cc7\u6599\u50b3\u8f38\u8ddd\u96e2\u63d0\u5347\u81f315\u516c\u91cc\uff089\u82f1\u91cc\uff09\u4ee5\u4e0a\uff0c\u57ce\u5e02\u5bc6\u96c6\u5340\u57df\u7684\u8cc7\u6599\u50b3\u8f38\u8ddd\u96e2\u63d0\u5347\u81f32-5\u516c\u91cc (3\u82f1\u91cc)\u3002
    \n\u4ee5\u7d10\u7d04\u66fc\u54c8\u9813\u4e0b\u57ce\u5340\u70ba\u4f8b\uff0c\u53ea\u8981\u4e03\u500b\u9598\u9053\u6a5f\u4fbf\u80fd\u5b8c\u6574\u8986\u84cb\uff0c\u53f0\u7063IBM \u5354\u7406 \u5289\u5efa\u502b\u8868\u793a\u82e5\u63db\u6210\u53f0\u5317\u5e02\u7684\u898f\u6a21\uff0c\u53ea\u89814\u52305\u500b\u9598\u9053\u4fbf\u53ef\u4ee5\u641e\u5b9a\u3002<\/p>\n

    LoRa\u53e6\u4e00\u7279\u9ede\u662f\u529f\u8017\u4f4e\uff0c\u5c0d\u65bc\u7269\u806f\u7db2\u88dd\u7f6e\u6700\u660e\u986f\u7684\u597d\u8655\u5373\u70ba\u53ef\u4ee5\u5ef6\u9577\u96fb\u6c60\u58fd\u547d\uff0c\u5c0d\u65bc\u672a\u4f86\u53ef\u80fd\u904d\u5e03\u5728\u57ce\u5e02\u4e2d\u7684\u50b3\u611f\u5668\u4f86\u8aaa\u7121\u7591\u662f\u4e00\u5927\u798f\u97f3\uff0c\u53ef\u671b\u964d\u4f4e\u7dad\u8b77\u6210\u672c\u3002\u800c\u76ee\u524d\u5e02\u9762\u4e0a\u5df2\u90e8\u7f72\u7684\u591a\u6578\u8b80\u8868\u3001\u5b89\u5168\u6216\u5de5\u696d\u81ea\u52d5\u5316\u7cfb\u7d71\u5728\u90ca\u5340\u7684\u8cc7\u6599\u50b3\u8f38\u8ddd\u96e2\u90fd\u57281~2\u516c\u91cc\uff08\u4e0d\u52301.25\u82f1\u91cc\uff09\u5167\u3002LoRa\u2122\u6280\u8853\u7684\u61c9\u7528\u4f7f\u4e0a\u8ff0\u61c9\u7528\u7121\u9700\u518d\u501f\u52a9\u4e2d\u7e7c\u5668\uff0c\u6975\u5927\u5730\u7c21\u5316\u4e86\u7cfb\u7d71\u8a2d\u8a08\u4e26\u964d\u4f4e\u4e86\u7e3d\u90e8\u7f72\u6210\u672c\u3002\u64da\u884c\u696d\u5206\u6790\u5e2b\u5c0d\u622a\u81f32020\u5e74\u7e3d\u8a08500\u5104\u500b\u7bc0\u9ede\u7684\u9810\u6e2c\uff0c\u7269\u806f\u7db2\/\u6a5f\u5c0d\u6a5f\u5e02\u5834\u7684\u98db\u901f\u767c\u5c55\u70ba\u4f7f\u7528LoRa\u2122\u6280\u8853\u7684SX127x \u63d0\u4f9b\u4e86\u91cd\u5927\u767c\u5c55\u6a5f\u9047\u3002\u7269\u806f\u7db2\/\u6a5f\u5c0d\u6a5f\u5e02\u5834\u8feb\u5207\u9700\u8981\u6539\u5584\u5176\u5be6\u9ad4\u5c64\uff0c\u4ee5\u671f\u5be6\u73fe\u66f4\u9060\u50b3\u8f38\u8ddd\u96e2\u3001\u96fb\u6c60\u4f4e\u529f\u8017\u904b\u884c\u4ee5\u53ca\u4f4e\u6210\u672c\u6279\u91cf\u90e8\u7f72\u3002\u800cLoRa\u2122\u4e0d\u4f46\u662f\u6eff\u8db3\u9019\u4e9b\u9700\u6c42\u7684\u7406\u60f3\u89e3\u6c7a\u65b9\u6848\uff0c\u9084\u662f\u5c0d\u9019\u4e00\u5feb\u901f\u767c\u5c55\u5e02\u5834\u4e2d2G\/3G GSM\u7684\u6975\u5927\u7684\u53e6\u4e00\u9078\u64c7\u3002<\/p>\n

     <\/p>\n

     <\/p>\n

     <\/p>\n

    \n

    iFrogLab\u00a0\u00a0Lora 868\/900\/915 MHz SX1272 module compatible<\/h3>\n

    Features:<\/p>\n

      \n
    • Frequency Range: 868\/900\/915MHz<\/li>\n
    • Modulation: FSK\/GFSK\/MSK\/LoRa<\/li>\n
    • SPI Data Interface Sensitivity: -137dBm<\/li>\n
    • Output Power: +20dBm Data Rate: <300 kbps 127dB dynamic Range RSSI Excellent blocking immunity Preamble detection Automatic RF sense and CAD monitor Built-in bit synchronizer for clock recovery Packet engine up to 256 bytes with CRC<\/li>\n
    • Working Temperature: -40\u00b0C ~+80\u00b0C Build-in temperature sensor<\/li>\n
    • Standby current: \u2264 1uA<\/li>\n
    • Supply voltage: 1.8~3.6V<\/li>\n<\/ul>\n<\/div>\n
      <\/div>\n

      iL-LORA1272 is a type of low cost RF front-end transceiver module based on SX1272 from Semtech Corporation. It keeps the advantages of RFIC SX1272 but simplifies the circuit design. The high sensitivity (-137dBm) in LoRa modulation and 20dBm high power output make the module suitable for low range and low data rate applications.<\/p>\n

      iL-LORA1272 module consists of RFIC SX1272 and include powerful MCU, thin SMD crystal and antenna matching circuit. The antenna port is well matched to standard 50 Ohm impedance. Users don\u2019t need to spend time in RF circuit design and choose suitable antennas for different applications. iL-LORA1272 operates at 1.8~3.6V with extra low standby current which makes it suitable for battery powered-up applications. Because iL-LORA1272 is purely hardware module and it adopts \u00b110ppm crystal which the resolution of it places a important role in calculating spreading factor, bandwidth, etc.<\/p>\n

      In addition, We\u2019er add powerful MCU to help Users that don’t needs to read the datasheet of SX1272, you just go through UART to control this module and will easy to use the module in the best performance.<\/p>\n

      Demo and tutorial:<\/h2>\n