diff --git a/riis-system/pom.xml b/riis-system/pom.xml
index c3eb415..e17185b 100644
--- a/riis-system/pom.xml
+++ b/riis-system/pom.xml
@@ -213,7 +213,17 @@
 			<systemPath>${project.basedir}/src/main/resources/lib/slf4j-api-1.7.25.jar</systemPath>
 		</dependency>
 
-
+		<!-- Maven依赖 -->
+		<dependency>
+			<groupId>com.github.wendykierp</groupId>
+			<artifactId>JTransforms</artifactId>
+			<version>3.1</version>
+		</dependency>
+		<dependency>
+			<groupId>com.github.axet</groupId>
+			<artifactId>TarsosDSP</artifactId>
+			<version>2.4</version>
+		</dependency>
 	</dependencies>
 
 	<build>
diff --git a/riis-system/src/main/java/com/yfd/platform/utils/AudioSpectrumAnalyzer.java b/riis-system/src/main/java/com/yfd/platform/utils/AudioSpectrumAnalyzer.java
new file mode 100644
index 0000000..bf41468
--- /dev/null
+++ b/riis-system/src/main/java/com/yfd/platform/utils/AudioSpectrumAnalyzer.java
@@ -0,0 +1,175 @@
+package com.yfd.platform.utils;
+
+import org.apache.poi.ss.usermodel.Cell;
+import org.apache.poi.ss.usermodel.Row;
+import org.apache.poi.ss.usermodel.Sheet;
+import org.apache.poi.ss.usermodel.Workbook;
+import org.apache.poi.xssf.usermodel.XSSFWorkbook;
+import org.jtransforms.fft.DoubleFFT_1D;
+
+import javax.sound.sampled.AudioFormat;
+import javax.sound.sampled.AudioInputStream;
+import javax.sound.sampled.AudioSystem;
+import java.io.ByteArrayOutputStream;
+import java.io.File;
+import java.io.FileOutputStream;
+import java.io.IOException;
+import java.nio.ByteBuffer;
+import java.nio.ByteOrder;
+import java.util.ArrayList;
+import java.util.List;
+
+public class AudioSpectrumAnalyzer {
+
+    public static void main(String[] args) throws Exception {
+        File audioFile = new File("D:\\riis\\video\\010203040506-02-20250313094706.wav");
+        AudioData audioData = readAudioData(audioFile);
+        SpectrumData spectrumData = calculateSpectrum(audioData);
+        String[] headers = {"Hz", "dB"};
+        // 写入excel
+        writerExcel(headers, spectrumData);
+
+    }
+
+    // 读取音频数据
+    static AudioData readAudioData(File file) throws Exception {
+        AudioInputStream audioStream = AudioSystem.getAudioInputStream(file);
+        AudioFormat format = audioStream.getFormat();
+
+        // 转换为PCM格式
+        if (format.getEncoding() != AudioFormat.Encoding.PCM_SIGNED) {
+            AudioFormat newFormat = new AudioFormat(
+                    AudioFormat.Encoding.PCM_SIGNED,
+                    format.getSampleRate(),
+                    16,
+                    format.getChannels(),
+                    format.getChannels() * 2,
+                    format.getSampleRate(),
+                    false);
+            audioStream = AudioSystem.getAudioInputStream(newFormat, audioStream);
+            format = newFormat;
+        }
+
+        // 2. 读取PCM数据
+        ByteArrayOutputStream baos = new ByteArrayOutputStream();
+        byte[] buffer = new byte[4096];
+        int bytesRead;
+        try {
+            while ((bytesRead = audioStream.read(buffer)) != -1) {
+                baos.write(buffer, 0, bytesRead);
+            }
+        } finally {
+            audioStream.close();
+        }
+        byte[] bytes = baos.toByteArray();
+        audioStream.close();
+
+        // 转换为double数组（处理16-bit样本）
+        int sampleSize = format.getSampleSizeInBits() / 8;
+        double[] samples = new double[bytes.length / sampleSize];
+        ByteBuffer bb = ByteBuffer.wrap(bytes)
+                .order(format.isBigEndian() ? ByteOrder.BIG_ENDIAN : ByteOrder.LITTLE_ENDIAN);
+
+        for (int i = 0; i < samples.length; i++) {
+            samples[i] = bb.getShort() / 32768.0; // 16-bit PCM归一化
+        }
+
+        return new AudioData(samples, format.getSampleRate());
+    }
+
+    // 计算频谱
+    static SpectrumData calculateSpectrum(AudioData audioData) {
+        double[] samples = audioData.samples;
+        double sampleRate = audioData.sampleRate;
+        int n = samples.length;
+
+        // 应用汉明窗
+        applyHammingWindow(samples);
+
+        // 执行FFT
+        DoubleFFT_1D fft = new DoubleFFT_1D(n);
+        double[] fftData = new double[n * 2];
+        System.arraycopy(samples, 0, fftData, 0, n);
+        fft.realForwardFull(fftData);
+
+        // 计算幅度和分贝
+        List<Double> frequencies = new ArrayList<>();
+        List<Double> amplitudesDb = new ArrayList<>();
+        double maxAmplitude = 0;
+
+        for (int k = 0; k < n / 2; k++) {
+            double real = fftData[2 * k];
+            double imag = fftData[2 * k + 1];
+            double magnitude = Math.sqrt(real * real + imag * imag);
+            // 归一化分贝值
+            double db = 20 * Math.log10(magnitude / n);
+
+            double frequency = k * sampleRate / n;
+            frequencies.add(frequency);
+            amplitudesDb.add(db);
+        }
+
+        // 转换为数组
+        SpectrumData result = new SpectrumData();
+        result.frequencies = frequencies.stream().mapToDouble(d -> d).toArray();
+        result.amplitudesDb = amplitudesDb.stream().mapToDouble(d -> d).toArray();
+
+        return result;
+    }
+
+    public static void writerExcel(String[] headers, SpectrumData spectrumData) {
+        // 创建Excel工作簿
+        try (Workbook workbook = new XSSFWorkbook()) {
+            Sheet sheet = workbook.createSheet("数据表");
+
+            // 写入标题行
+            Row headerRow = sheet.createRow(0);
+            for (int i = 0; i < headers.length; i++) {
+                Cell cell = headerRow.createCell(i);
+                cell.setCellValue(headers[i]);
+            }
+            // 写入数据行
+            for (int i = 0; i < spectrumData.frequencies.length; i++) {
+                Row row = sheet.createRow(i + 1);
+                Cell cell = row.createCell(0);
+                cell.setCellValue(spectrumData.frequencies[i]);
+                Cell cell1 = row.createCell(1);
+                cell1.setCellValue(spectrumData.amplitudesDb[i]);
+            }
+
+            // 保存到文件
+            try (FileOutputStream outputStream = new FileOutputStream("D:\\output.xlsx")) {
+                workbook.write(outputStream);
+                System.out.println("Excel文件已保存！");
+            }
+        } catch (IOException e) {
+            e.printStackTrace();
+        }
+    }
+
+    // 应用汉明窗
+    static void applyHammingWindow(double[] data) {
+        int n = data.length;
+        for (int i = 0; i < n; i++) {
+            data[i] *= 0.54 - 0.46 * Math.cos(2 * Math.PI * i / (n - 1));
+        }
+    }
+
+    // 数据载体类
+    static class AudioData {
+
+        double[] samples;
+        double sampleRate;
+
+        AudioData(double[] samples, double sampleRate) {
+            this.samples = samples;
+            this.sampleRate = sampleRate;
+        }
+    }
+
+    static class SpectrumData {
+
+        double[] frequencies;
+        double[] amplitudesDb;
+    }
+}