user1075 发表于 2024-2-21 21:59:35

通过485获取到温度值,后面有很多小数点如何解决

本帖最后由 user1075 于 2024-2-21 22:00 编辑

我是通过NODE-red 485 获取空气质量盒子的温湿度,然后通过 HA 的MQQT 生成的实体,如下:
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

这种问题怎么处理呢?

relliky 发表于 2024-2-21 22:54:00

点那个小齿轮,看有不有选项弄到小数点后一位,如果没有,可以曲线救国,自己用template加round重新生成一个小数点后一位的实体。

bugensui 发表于 2024-2-22 13:10:15

NODE-red不是也可以处理下吗
页: [1]
查看完整版本: 通过485获取到温度值,后面有很多小数点如何解决