84 lines
2.3 KiB
C#
84 lines
2.3 KiB
C#
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using ScottPlot;
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using Sunny.UI;
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using System;
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using System.Collections.Generic;
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using System.ComponentModel;
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using System.Data;
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using System.Drawing;
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using System.Linq;
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using System.Text;
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using System.Threading.Tasks;
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using System.Windows.Forms;
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using Accord.Controls;
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using Accord.MachineLearning.VectorMachines.Learning;
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using Accord.Math;
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using MathNet.Numerics.IntegralTransforms;
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using Accord.Statistics.Kernels;
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using Accord.Statistics.Models.Regression.Linear;
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using HslCommunication.Algorithms.Fourier;
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using HslCommunication.Profinet.Melsec;
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using HslCommunication.Core;
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using CenterSpace.NMath.Core;
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namespace 测试Scottplot
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{
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public partial class Form1 : UIForm
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{
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public Form1()
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{
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InitializeComponent();
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}
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private void Form1_Load(object sender, EventArgs e)
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{
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}
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private void timer1_Tick(object sender, EventArgs e)
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{
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}
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private void button1_Click(object sender, EventArgs e)
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{
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// 生成测试信号 - 200KHz采样率下的1kHz正弦波(带噪声)
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double sampleRate = 2000; // 200 kHz
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double frequency = 2000; // 1 kHz
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int numberOfSamples = 2000; // 100ms的数据
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Random rand = new Random();
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List<double> sampledData = new List<double>();
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for (int i = 0; i < numberOfSamples; i++)
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{
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double time = i / sampleRate;
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double noise = 0.1 * (rand.NextDouble() - 0.5); // 添加一些噪声
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// double noise = 0;
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sampledData.Add(Math.Sin(2 * Math.PI * frequency * time) + noise);
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}
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// 转换为周期RMS值
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var rmsValues = SignalProcessor.ConvertToRmsPerPeriod(sampledData, sampleRate, frequency);
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Console.WriteLine($"Calculated {rmsValues.Count} RMS values:");
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Console.WriteLine(string.Join(", ", rmsValues.Take(5)) + "..."); // 显示前5个值
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// 生成直流拟合信号
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var dcSignal = SignalProcessor.GenerateDcSignal(rmsValues, sampleRate, frequency);
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Console.WriteLine($"Generated DC signal with {dcSignal.Count} points");
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}
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private void button2_Click_1(object sender, EventArgs e)
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{
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MelsecFxSerial melsecFxSerial = new MelsecFxSerial();
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}
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}
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}
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