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ReadMe/工业互联网标识解析与注册/标识解析演讲稿.md

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   * 在右侧填写`温度`和`湿度`
   * 点击`更新`按钮
 ### 此时,我们得到了提交成功的提示,现在我们将开始对数据进行监测
+![image_monitor_add.png](Images%2Fimage_monitor_add.png)
 * 打开我们已经安装好的`基于标识解析的监测软件`
 * 在软件的右上角位置,点击`添加`按钮
 > 我们现在要监测已注册的温湿度传感器的温湿度标识
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 * 点击`添加`
 > 到这一步,`基于标识的监测软件`就已经对湿度进行了监测
 ### 我们已经对湿度进行了监测,接下来我们将模拟湿度异常的环境
+![image_manual_humidity.png](Images%2Fimage_manual_humidity.png)
 * 对温湿度传感器哈口气,或者拿去空调出风口之类的地方吹一会
+* 或者在`温湿度传感器`的`手动采集`中,将湿度值设置为`60`
 ### 哎呀,报警了!
+![image_monitor_alert.png](Images%2Fimage_monitor_alert.png)
 * `基于标识的监测软件`已经检测到了异常,并为我们发出了报警
 
 ```
@@ -86,13 +90,18 @@
 * 在`基于标识的监测软件`中,找到我们需要追溯的报警记录
 * 记录下报警记录的`标识`,`异常值`和`异常时间`
 ### 现在点击在侧边栏中的`标识解析`按钮,我们将开始解析标识
+![image_idis_query.png](Images%2Fimage_idis_query.png)
 * 在上方的搜索框中输入我们的温湿度标识,例如`8.123.99/th.sensor`
 ### 此时虽然已经完成了解析,并且找到了所有的温湿度记录,但是我们想通过模糊搜索找到异常的记录
+* ![image_idis_query_humidity.png](Images%2Fimage_idis_query_humidity.png)
 * 在搜索框中输入搜索表达式,例如`8.123.99/th.sensor?湿度=60`
 ### 找到了异常的记录
+![image_idis_query_humidity_lite.png](Images%2Fimage_idis_query_humidity_lite.png)
 * 在`湿度`的右侧,我们找到了异常记录的`创建时间`与`更新时间`,这就是我们想要的异常时间
 
 # 🎉很好,你完成了所有的实训🎉
 现在是你的奇思妙想时间,你可以为一些其他事物注册标识,例如你的手机或者笔记本电脑
 
 关注我们,了解更多有关标识的知识
+![logo-intelli_non-color_wide.png](..%2F..%2FArtists%2FArt%2FLogos%2Flogo-intelli_non-color_wide.png)
+

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