\u6570\u636e\u91c7\u96c6<\/strong><\/div>\n\u6570\u636e\u91c7\u96c6\u548c\u6570\u636e\u5904\u7406\u90fd\u6709\u4e00\u4e9b\u5f88\u68d2\u7684\u5de5\u5177\u3002InfluxData \u6709 12 \u4e2a\u4ee5\u4e0a\u7684\u5ba2\u6237\u7aef\u5e93\uff0c\u5141\u8bb8\u4f60\u4f7f\u7528\u81ea\u5df1\u9009\u62e9\u7684\u7f16\u7a0b\u8bed\u8a00\u7f16\u5199\u548c\u67e5\u8be2\u6570\u636e\u3002\u8fd9\u662f\u81ea\u5b9a\u4e49\u7528\u6cd5\u7684\u4e00\u4e2a\u5f88\u597d\u7684\u5de5\u5177\u3002\u5f00\u6e90\u6444\u53d6\u4ee3\u7406 Telegraf \u5305\u62ec 300 \u591a\u4e2a\u8f93\u5165\u548c\u8f93\u51fa\u63d2\u4ef6\u3002\u5982\u679c\u4f60\u662f\u4e00\u4e2a\u5f00\u53d1\u8005\uff0c\u4f60\u4e5f\u53ef\u4ee5\u8d21\u732e\u81ea\u5df1\u7684\u63d2\u4ef6\u3002<\/p>\n
InfluxDB \u8fd8\u53ef\u4ee5\u63a5\u53d7\u4e0a\u4f20\u5c0f\u4f53\u79ef\u5386\u53f2\u6570\u636e\u96c6\u7684 CSV \u6587\u4ef6\uff0c\u4ee5\u53ca\u5927\u6570\u636e\u96c6\u7684\u6279\u91cf\u5bfc\u5165\u3002<\/p>\n
import math\r\nbicycles3 = from(bucket: \"smartcity\")\r\n |> range(start:2021-03-01T00:00:00z, stop: 2021-04-01T00:00:00z)\r\n |> filter(fn: (r) => r._measurement == \"city_IoT\")\r\n |> filter(fn: (r) => r._field == \"counter\")\r\n |> filter(fn: (r) => r.source == \"bicycle\")\r\n |> filter(fn: (r) => r.neighborhood_id == \"3\")\r\n |> aggregateWindow(every: 1h, fn: mean, createEmpty:false)\r\nbicycles4 = from(bucket: \"smartcity\")\r\n |> range(start:2021-03-01T00:00:00z, stop: 2021-04-01T00:00:00z)\r\n |> filter(fn: (r) => r._measurement == \"city_IoT\")\r\n |> filter(fn: (r) => r._field == \"counter\")\r\n |> filter(fn: (r) => r.source == \"bicycle\")\r\n |> filter(fn: (r) => r.neighborhood_id == \"4\")\r\n |> aggregateWindow(every: 1h, fn: mean, createEmpty:false)join(tables: {neighborhood_3: bicycles3, neighborhood_4: bicycles4}, on [\"_time\"], method: \"inner\")\r\n |> keep(columns: [\"_time\", \"_value_neighborhood_3\",\"_value_neighborhood_4\"])\r\n |> map(fn: (r) => ({\r\n r with\r\n difference_value : math.abs(x: (r._value_neighborhood_3 - r._value_neighborhood_4))\r\n }))<\/pre>\nFlux<\/strong><\/div>\nFlux \u662f\u6211\u4eec\u7684\u5185\u90e8\u67e5\u8be2\u8bed\u8a00\uff0c\u4ece\u96f6\u5f00\u59cb\u5efa\u7acb\uff0c\u7528\u4e8e\u5904\u7406\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u3002\u5b83\u4e5f\u662f\u6211\u4eec\u4e00\u4e9b\u5de5\u5177\u7684\u57fa\u7840\u52a8\u529b\uff0c\u5305\u62ec \u4efb\u52a1task\u3001\u8b66\u62a5alert \u548c \u901a\u77e5notification\u3002\u8981\u5256\u6790\u4e0a\u9762\u7684 Flux \u67e5\u8be2\uff0c\u9700\u8981\u5b9a\u4e49\u4e00\u4e9b\u4e1c\u897f\u3002\u9996\u5148\uff0c\u201c\u6876bucket\u201d\u5c31\u662f\u6211\u4eec\u6240\u8bf4\u7684\u6570\u636e\u5e93\u3002\u4f60\u53ef\u4ee5\u914d\u7f6e\u5b58\u50a8\u6876\uff0c\u7136\u540e\u5c06\u6570\u636e\u6d41\u6dfb\u52a0\u5230\u5176\u4e2d\u3002\u67e5\u8be2\u4f1a\u8c03\u7528 smartcity \u5b58\u50a8\u6876\uff0c\u5176\u8303\u56f4\u4e3a\u7279\u5b9a\u7684\u4e00\u5929\uff08\u51c6\u786e\u5730\u8bf4\u662f 24 \u5c0f\u65f6\uff09\u3002\u4f60\u53ef\u4ee5\u4ece\u5b58\u50a8\u6876\u4e2d\u83b7\u53d6\u6240\u6709\u6570\u636e\uff0c\u4f46\u5927\u591a\u6570\u7528\u6237\u90fd\u5305\u542b\u4e00\u4e2a\u6570\u636e\u8303\u56f4\u3002\u8fd9\u662f\u4f60\u80fd\u505a\u7684\u6700\u57fa\u672c\u7684 Flux \u67e5\u8be2\u3002<\/p>\n
\u63a5\u4e0b\u6765\uff0c\u6211\u6dfb\u52a0\u8fc7\u6ee4\u5668\uff0c\u5c06\u6570\u636e\u8fc7\u6ee4\u5230\u66f4\u7cbe\u786e\u3001\u66f4\u6613\u4e8e\u7ba1\u7406\u7684\u5730\u65b9\u3002\u4f8b\u5982\uff0c\u6211\u8fc7\u6ee4\u5206\u914d\u7ed9 id \u4e3a 3 \u7684\u793e\u533a\u4e2d\u7684\u81ea\u884c\u8f66\u6570\u91cf\u3002\u4ece\u90a3\u91cc\uff0c\u6211\u4f7f\u7528 aggregateWindow \u83b7\u53d6\u6bcf\u5c0f\u65f6\u7684\u5e73\u5747\u503c\u3002\u8fd9\u610f\u5473\u7740\u6211\u5e0c\u671b\u6536\u5230\u4e00\u4e2a\u5305\u542b 24 \u5217\u7684\u8868\uff0c\u6bcf\u5c0f\u65f6\u4e00\u5217\u3002\u6211\u4e5f\u5bf9 id \u4e3a 4 \u7684\u793e\u533a\u8fdb\u884c\u540c\u6837\u7684\u67e5\u8be2\u3002\u6700\u540e\uff0c\u6211\u5c06\u8fd9\u4e24\u5f20\u8868\u76f8\u53e0\u52a0\uff0c\u5f97\u51fa\u8fd9\u4e24\u4e2a\u793e\u533a\u81ea\u884c\u8f66\u4f7f\u7528\u91cf\u7684\u5dee\u5f02\u3002<\/p>\n
\u5982\u679c\u4f60\u60f3\u77e5\u9053\u4ec0\u4e48\u65f6\u5019\u662f\u4ea4\u901a\u9ad8\u5cf0\uff0c\u8fd9\u662f\u4e0d\u9519\u7684\u9009\u62e9\u3002\u663e\u7136\uff0c\u8fd9\u53ea\u662f Flux \u67e5\u8be2\u529f\u80fd\u7684\u4e00\u4e2a\u5c0f\u4f8b\u5b50\u3002\u4f46\u5b83\u63d0\u4f9b\u4e86\u4e00\u4e2a\u5f88\u597d\u7684\u4f8b\u5b50\uff0c\u4f7f\u7528\u4e86 Flux \u9644\u5e26\u7684\u4e00\u4e9b\u5de5\u5177\u3002\u6211\u8fd8\u6709\u5f88\u591a\u7684\u6570\u636e\u5206\u6790\u548c\u7edf\u8ba1\u529f\u80fd\u3002\u4f46\u5bf9\u4e8e\u8fd9\u4e00\u70b9\uff0c\u6211\u5efa\u8bae\u67e5\u770b Flux \u6587\u6863\u3002<\/p>\n
import \"influxdata\/influxdb\/tasks\"\r\noption task = {name: PB_downsample, every: 1h, offset: 10s}\r\nfrom(bucket: \"plantbuddy\")\r\n |>range(start: tasks.lastSuccess(orTime: -task.every))\r\n |>filter(fn: (r) => r[\"_measurement\"] == \"sensor_data\")\r\n |>aggregateWindow(every: 10m, fn:last, createEmpty:false)\r\n |>yield(name: \"last\")\r\n |>to(bucket: \"downsampled\")<\/pre>\n\u4efb\u52a1<\/strong><\/div>\nInfluxDB \u4efb\u52a1task \u662f\u4e00\u4e2a\u5b9a\u65f6 Flux \u811a\u672c\uff0c\u5b83\u63a5\u6536\u8f93\u5165\u6570\u636e\u6d41\u5e76\u4ee5\u67d0\u79cd\u65b9\u5f0f\u4fee\u6539\u6216\u5206\u6790\u5b83\u3002\u7136\u540e\uff0c\u5b83\u5c06\u4fee\u6539\u540e\u7684\u6570\u636e\u5b58\u50a8\u5728\u65b0\u7684\u5b58\u50a8\u6876\u4e2d\u6216\u6267\u884c\u5176\u4ed6\u64cd\u4f5c\u3002\u5c06\u8f83\u5c0f\u7684\u6570\u636e\u96c6\u5b58\u50a8\u5230\u65b0\u7684\u5b58\u50a8\u6876\u4e2d\uff0c\u79f0\u4e3a\u201c\u964d\u91c7\u6837downsampling\u201d\uff0c\u8fd9\u662f\u6570\u636e\u5e93\u7684\u6838\u5fc3\u529f\u80fd\uff0c\u4e5f\u662f\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u751f\u547d\u5468\u671f\u7684\u6838\u5fc3\u90e8\u5206\u3002<\/p>\n
\u4f60\u53ef\u4ee5\u5728\u5f53\u524d\u4efb\u52a1\u793a\u4f8b\u4e2d\u770b\u5230\uff0c\u6211\u5df2\u7ecf\u5bf9\u6570\u636e\u8fdb\u884c\u4e86\u964d\u91c7\u6837\u3002\u6211\u5f97\u5230\u6bcf 10 \u5206\u949f\u589e\u91cf\u7684\u6700\u540e\u4e00\u4e2a\u503c\uff0c\u5e76\u5c06\u8be5\u503c\u5b58\u50a8\u5728\u964d\u91c7\u6837\u6876\u4e2d\u3002\u539f\u59cb\u6570\u636e\u96c6\u5728\u8fd9 10 \u5206\u949f\u5185\u53ef\u80fd\u6709\u6570\u5343\u4e2a\u6570\u636e\u70b9\uff0c\u4f46\u73b0\u5728\u964d\u91c7\u6837\u6876\u53ea\u6709 60 \u4e2a\u65b0\u503c\u3002\u9700\u8981\u6ce8\u610f\u7684\u4e00\u70b9\u662f\uff0c\u6211\u8fd8\u4f7f\u7528\u4e86\u8303\u56f4\u5185\u7684 lastSuccess \u51fd\u6570\u3002\u8fd9\u4f1a\u544a\u8bc9 InfluxDB \u4ece\u4e0a\u6b21\u6210\u529f\u8fd0\u884c\u7684\u65f6\u95f4\u5f00\u59cb\u8fd0\u884c\u6b64\u4efb\u52a1\uff0c\u4ee5\u9632\u5b83\u5728\u8fc7\u53bb 2 \u5c0f\u65f6\u5185\u5931\u8d25\uff0c\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u5b83\u53ef\u4ee5\u8ffd\u6eaf 3 \u4e2a\u5c0f\u65f6\u5185\u7684\u6700\u540e\u4e00\u6b21\u6210\u529f\u8fd0\u884c\u3002\u8fd9\u5bf9\u4e8e\u5185\u7f6e\u9519\u8bef\u5904\u7406\u975e\u5e38\u6709\u7528\u3002<\/p>\n
\n\u68c0\u67e5\u548c\u8b66\u62a5\u901a\u77e5\u7cfb\u7edf\u7684\u56fe\u50cf<\/p>\n
\u68c0\u67e5\u548c\u8b66\u62a5<\/strong><\/div>\nInfluxDB \u5305\u542b\u4e00\u4e2a \u8b66\u62a5Alert \u6216 \u68c0\u67e5Check \u548c \u901a\u77e5notification \u7cfb\u7edf\u3002\u8fd9\u4e2a\u7cfb\u7edf\u975e\u5e38\u7b80\u5355\u76f4\u767d\u3002\u9996\u5148\u8fdb\u884c\u68c0\u67e5\uff0c\u5b9a\u671f\u67e5\u770b\u6570\u636e\u4ee5\u67e5\u627e\u4f60\u5b9a\u4e49\u7684\u5f02\u5e38\u3002\u901a\u5e38\uff0c\u8fd9\u662f\u7528\u9608\u503c\u5b9a\u4e49\u7684\u3002\u4f8b\u5982\uff0c\u4efb\u4f55\u4f4e\u4e8e 32\u00b0F \u7684\u6e29\u5ea6\u503c\u90fd\u88ab\u6307\u5b9a\u4e3a\u201cWARN\u201d\u503c\uff0c\u9ad8\u4e8e 32\u00b0F \u90fd\u88ab\u5206\u914d\u4e3a\u201cOK\u201d\u503c\uff0c\u4f4e\u4e8e 0\u00b0F \u90fd\u88ab\u8d4b\u4e88\u201cCRITICAL\u201d\u503c\u3002\u4ece\u90a3\u5f00\u59cb\uff0c\u4f60\u7684\u68c0\u67e5\u53ef\u4ee5\u6309\u4f60\u8ba4\u4e3a\u5fc5\u8981\u7684\u9891\u7387\u8fd0\u884c\u3002\u4f60\u7684\u68c0\u67e5\u4ee5\u53ca\u6bcf\u4e2a\u68c0\u67e5\u7684\u5f53\u524d\u72b6\u6001\u90fd\u6709\u5386\u53f2\u8bb0\u5f55\u3002\u5728\u4e0d\u9700\u8981\u7684\u65f6\u5019\uff0c\u4f60\u4e0d\u9700\u8981\u8bbe\u7f6e\u901a\u77e5\u3002\u4f60\u53ef\u4ee5\u6839\u636e\u9700\u8981\u53c2\u8003\u4f60\u7684\u8b66\u62a5\u5386\u53f2\u8bb0\u5f55\u3002<\/p>\n
\u8bb8\u591a\u4eba\u9009\u62e9\u8bbe\u7f6e\u901a\u77e5\u3002\u4e3a\u6b64\uff0c\u4f60\u9700\u8981\u5b9a\u4e49\u4e00\u4e2a \u901a\u77e5\u7aef\u70b9notification endpoint\u3002\u4f8b\u5982\uff0c\u804a\u5929\u5e94\u7528\u7a0b\u5e8f\u53ef\u4ee5\u8fdb\u884c HTTP \u8c03\u7528\u4ee5\u63a5\u6536\u901a\u77e5\u3002\u7136\u540e\u4f60\u5b9a\u4e49\u4f55\u65f6\u63a5\u6536\u901a\u77e5\uff0c\u4f8b\u5982\uff0c\u4f60\u53ef\u4ee5\u6bcf\u5c0f\u65f6\u8fd0\u884c\u4e00\u6b21\u68c0\u67e5\u3002\u4f60\u53ef\u4ee5\u6bcf 24 \u5c0f\u65f6\u8fd0\u884c\u4e00\u6b21\u901a\u77e5\u3002\u4f60\u53ef\u4ee5\u8ba9\u901a\u77e5\u54cd\u5e94\u503c\u66f4\u6539\uff0c\u4f8b\u5982\uff0c\u201cWARN\u201d\u66f4\u6539\u4e3a\u201cCRITICAL\u201d\uff0c\u6216\u8005\u5f53\u503c\u4e3a\u201cCRITICAL\u201d\u65f6\uff0c\u65e0\u8bba\u5982\u4f55\u90fd\u4ece\u201cOK\u201d\u66f4\u6539\u4e3a\u201cWARN\u201d\u3002\u8fd9\u662f\u4e00\u4e2a\u9ad8\u5ea6\u53ef\u5b9a\u5236\u7684\u7cfb\u7edf\u3002\u4ece\u8fd9\u4e2a\u7cfb\u7edf\u521b\u5efa\u7684 Flux \u4ee3\u7801\u4e5f\u53ef\u4ee5\u7f16\u8f91\u3002<\/p>\n
\n\u65b0 Edge \u529f\u80fd\u7684\u56fe\u50cf<\/p>\n
\u8fb9\u7f18<\/strong><\/div>\n\u6700\u540e\uff0c\u6211\u60f3\u628a\u6240\u6709\u7684\u6838\u5fc3\u529f\u80fd\u653e\u5728\u4e00\u8d77\uff0c\u5305\u62ec\u6700\u8fd1\u53d1\u5e03\u7684\u4e00\u4e2a\u975e\u5e38\u7279\u522b\u7684\u65b0\u529f\u80fd\u3002\u201cEdge to cloud\u201d \u662f\u4e00\u4e2a\u975e\u5e38\u5f3a\u5927\u7684\u5de5\u5177\uff0c\u5141\u8bb8\u4f60\u8fd0\u884c\u5f00\u6e90 InfluxDB\uff0c\u5e76\u5728\u51fa\u73b0\u8fde\u63a5\u95ee\u9898\u65f6\u5728\u672c\u5730\u5b58\u50a8\u6570\u636e\u3002\u8fde\u63a5\u4fee\u590d\u540e\uff0c\u5b83\u4f1a\u5c06\u6570\u636e\u6d41\u4f20\u8f93\u5230 InfluxData \u4e91\u5e73\u53f0\u3002<\/p>\n
\u8fd9\u5bf9\u4e8e\u8fb9\u7f18\u8bbe\u5907\u548c\u91cd\u8981\u6570\u636e\u975e\u5e38\u91cd\u8981\uff0c\u56e0\u4e3a\u4efb\u4f55\u6570\u636e\u4e22\u5931\u90fd\u662f\u6709\u5bb3\u7684\u3002\u4f60\u5b9a\u4e49\u4e00\u4e2a\u8981\u590d\u5236\u5230\u4e91\u7684\u5b58\u50a8\u6876\uff0c\u7136\u540e\u8be5\u5b58\u50a8\u6876\u6709\u4e00\u4e2a\u78c1\u76d8\u652f\u6301\u7684\u961f\u5217\u6765\u672c\u5730\u5b58\u50a8\u6570\u636e\u3002\u7136\u540e\u5b9a\u4e49\u4e91\u5b58\u50a8\u6876\u5e94\u8be5\u590d\u5236\u5230\u7684\u5185\u5bb9\u3002\u5728\u8fde\u63a5\u5230\u4e91\u7aef\u4e4b\u524d\uff0c\u6570\u636e\u90fd\u5b58\u50a8\u5728\u672c\u5730\u3002<\/p>\n
InfluxDB \u548c\u7269\u8054\u7f51\u8fb9\u7f18<\/strong><\/div>\n\u5047\u8bbe\u4f60\u6709\u4e00\u4e2a\u9879\u76ee\uff0c\u4f60\u60f3\u4f7f\u7528\u8fde\u63a5\u5230\u690d\u7269\u4e0a\u7684\u7269\u8054\u7f51\u4f20\u611f\u5668 \u76d1\u6d4b\u5bb6\u91cc\u690d\u7269\u7684\u5065\u5eb7\u72b6\u51b5\u3002\u8be5\u9879\u76ee\u662f\u4f7f\u7528\u4f60\u7684\u7b14\u8bb0\u672c\u7535\u8111\u4f5c\u4e3a\u8fb9\u7f18\u8bbe\u5907\u8bbe\u7f6e\u7684\u3002\u5f53\u4f60\u7684\u7b14\u8bb0\u672c\u7535\u8111\u5408\u4e0a\u6216\u5173\u95ed\u65f6\uff0c\u5b83\u4f1a\u5728\u672c\u5730\u5b58\u50a8\u6570\u636e\uff0c\u7136\u540e\u5728\u91cd\u65b0\u8fde\u63a5\u65f6\u5c06\u6570\u636e\u6d41\u4f20\u5230\u6211\u7684\u4e91\u5b58\u50a8\u6876\u3002<\/p>\n
\n\u56fe\u7247\u5c55\u793a\u4e86 Plant buddy \u7684\u5de5\u4f5c\u65b9\u5f0f<\/p>\n
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