Node-RED系列（十九）：工业多图标面板制作

这把我C 2021-05-11 19:30:21 11710
物联网

Node-RED系列文章目前已经写了18篇，介绍了Node-RED的安装以及默认安装的一些基本节点的使用，作为物联网的一个可视化拖动的流程,Node-RED的确实很容易上手。还没开始学习的同学可以先看下我以前的文章。

这是我的第19篇Node-RED系列的文章，这一篇文章我们来说一下，如何制作一个工业物联网的仪表盘的。

效果图

首先来看一下效果图，
在这里插入图片描述

改仪表盘，使用多个数据源，并通过一些function节点，将数据封装处理后，输入到折线图，柱状图，饼图，以及雷达图上。
该方案可以在一个页面，制作多组数据图表。方便用户筛选，查看。

实现方案

  • 安装dashboard节点 用于tab，group布局，chart节点用于承载图表
  • 安装random节点，用于生成随机数

用到的图表有这几个

  • line chart 折线图
  • bar chart 柱状图
  • bar chart （H） 横向柱状图
  • pie chart 饼图
  • polar area chart 极地坐标图
  • radar chart 雷达图
    在这里插入图片描述

使用注入节点来配置数据，如label， data，
使用function 节点来处理数据
如

var m={};
m.labels = ["January", "February", "March", "April", "May", "June", "July"];
m.series = ['Series A', 'Series B', 'Series C'];
m.data = [
    [65, 59, 80, 81, 56, 55, 40],
    [28, 48, 40, 19, 86, 27, 90],
    [38, 28, 20, 49, 45, 60, 20]
  ];
return {payload:[m]};
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折线图配置

在这里插入图片描述

柱状图配置

在这里插入图片描述

横向柱状图配置

在这里插入图片描述

饼图配置

在这里插入图片描述

极地坐标图在这里插入图片描述
雷达图

在这里插入图片描述

分析数据流转

以一源对多表1的示例来讲解一下数据的流转
该图显示如下，
在这里插入图片描述

一共是四个图，四个图使用同一份数据源
在这里插入图片描述
数据源使用function节点来生成,内容如下

var m={};
m.labels = ["January", "February", "March", "April", "May", "June", "July"];
m.series = ['Series A', 'Series B', 'Series C'];
m.data = [
    [65, 59, 80, 81, 56, 55, 40],
    [28, 48, 40, 19, 86, 27, 90],
    [38, 28, 20, 49, 45, 60, 20]
  ];
return {payload:[m]};
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可以简单理解为这样。 一共有三个维度。

  • labels 对应的是x轴的值
  • data 中的数据 对应的是y轴的值
  • series 对应的是系列，分类

如 一源对多表5的数据如下

var m={
    "series":["X","Y","Z"],
    "data":[[5,6,9],[3,8,5],[6,7,2]],
    "labels":["Jan","Feb","Mar"]
};
return {payload:[m]};
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只有三个维度，series，data , labels

完整代码流
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<

具体使用方法，可以直接复制流的json数据 导入到工作台。

粘贴进去，点导入即可。缺少的节点需要手动安装。

声明：本文内容由易百纳平台入驻作者撰写，文章观点仅代表作者本人，不代表易百纳立场。如有内容侵权或者其他问题，请联系本站进行删除。
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