最近要做一个油田油压或温度数据的监控软件，数据会秒级写到数据库中，界面上需要动态展示数据跟随时间变化。
在网上找了很多js插件，希望能够即时高效的展示数据，最终确定了使用Highcharts插件。
Highcharts插件可以免费使用，而且可以高效的展示数据，下面先上一张效果图：
数据通过ajax每秒向数据库请求，图形跟随时间的变化向左移动。使用方法如下：
1.前台界面
<!DOCTYPE HTML>
<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<title>Highcharts Example</title>
<script type="text/javascript" src="http://ajax.googleapis.com/ajax/libs/jquery/1.8.2/jquery.min.js"></script>
<script type="text/javascript">
$(function () {
$(document).ready(function () {
Highcharts.setOptions({
global: {
useUTC: false
}
});
var chart;
chart = new Highcharts.Chart({
chart: {
renderTo: 'container',
type: 'spline',
animation: Highcharts.svg, // don't animate in old IE
marginRight: 10,
backgroundColor: {
linearGradient: { x1: 0, y1: 0, x2: 0, y2: 1 },
stops: [
[0, 'rgb(96, 96, 96)'],
[1, 'rgb(16, 16, 16)']
]
},
borderWidth: 0,
borderRadius: 15,
plotBackgroundColor: null,
plotShadow: false,
plotBorderWidth: 0,
events: {
load: function () {
// set up the updating of the chart each second
var series = this.series[0];
var loaddata = function () {
var x = (new Date()).getTime(); // current time
var y = 0;
$.ajax({
async: false,
type: "POST",
dataType: "json",
contentType: "application/json;charset=utf-8",
url: "DataHandler.ashx", //读取数据
success: function (result) {
y = parseInt(result.amount);
}
});
series.addPoint([x, y], true, true);
$.ajax({
type: "POST",
dataType: "json",
url: "AddHandler.ashx", //模拟向数据库插入数据
success: function (msg) {
}
});
};
setInterval(loaddata, 5000);//每5s执行一次
}
}
},
title: {
text: '油压数据实时监控',
style: { color: '#FFFF00', fontSize: '16px' }
},
xAxis: {
title: {
text: '检测时间',
style: { color: '#FFFF00' }
},
type: 'datetime',
tickPixelInterval: 150,
labels: {
style: { color: '#FFE4B5' }
},
gridLineWidth: 1
},
yAxis: {
title: {
text: '油压(pa)',
style: { color: '#FFFF00' }
},
plotLines: [{
value: 0,
1,
color: '#808080'
}],
labels: {
style: { color: '#FFE4B5' }
}
},
tooltip: {
formatter: function () {
return '<b>油压：' + Highcharts.numberFormat(this.y, 2) + '</b><br/>'
+ '时间：' + Highcharts.dateFormat('%Y-%m-%d %H:%M:%S', this.x)
},
crosshairs: true
},
plotOptions: {
spline: {
marker: {
radius: 4,
lineColor: '#FFE4B5',
lineWidth: 1
}
}
},
legend: {
enabled: true
},
exporting: {
enabled: true
},
series: [{
name: '油压变化图',
data: (function () {
// generate an array of random data
var data = [],
time = (new Date()).getTime(),
i;
for (i = -19; i <= 0; i++) {
data.push({
x: time + i * 2000,
y: Math.random() * 100
});
}
return data;
})()
}]
});
});
});
</script>
</head>
<body>
<script src="highcharts.src.js" type="text/javascript"></script>
<script src="exporting.js" type="text/javascript"></script>
<div id="container" style="min- 310px; height:550px; margin: 0 auto">
</div>
</body>
</html>
2.Aajx读取数据程序：
public class DataHandler : IHttpHandler
{
public void ProcessRequest(HttpContext context)
{
context.Response.ContentType = "text/plain";
string test = SQLHelper.ExecuteScalar("SELECT TOP(1) amount FROM RealOil ORDER BY recordtime DESC").ToString();
//Random ran=new Random(0);
//test=ran.Next(15,100).ToString();
string jsonString = "{"time":1,"amount":"" + test + ""}";
context.Response.Write(jsonString);
}
public bool IsReusable
{
get
{
return false;
}
}
}