基于Go语言的视频会议系统基础架构和核心代码实现。以下是分模块的技术实现方案:
一、系统架构图
[Web Client (Vue3)] <--WebSocket--> [Signaling Server (Go)]
│ │
└──WebRTC PeerConnection───────► [MCU Server (Go)]
(SRTP/SRTCP)
二、服务端核心代码实现
1. 信令服务器(Gin框架)
// main.go
package main
import (
"github.com/gin-gonic/gin"
"github.com/gorilla/websocket"
)
var upgrader = websocket.Upgrader{
CheckOrigin: func(r *http.Request) bool { return true },
}
type Room struct {
Clients map[string]*websocket.Conn
}
var rooms = make(map[string]*Room)
func main() {
r := gin.Default()
// WebSocket信令端点
r.GET("/ws/:roomID/:userID", func(c *gin.Context) {
roomID := c.Param("roomID")
userID := c.Param("userID")
conn, err := upgrader.Upgrade(c.Writer, c.Request, nil)
if err != nil {
return
}
if _, ok := rooms[roomID]; !ok {
rooms[roomID] = &Room{Clients: make(map[string]*websocket.Conn)}
}
room := rooms[roomID]
room.Clients[userID] = conn
go handleSignals(room, userID, conn)
})
r.Run(":8080")
}
func handleSignals(room *Room, userID string, conn *websocket.Conn) {
defer conn.Close()
for {
_, msg, err := conn.ReadMessage()
if err != nil {
delete(room.Clients, userID)
return
}
// 广播信令给房间内其他用户
for id, client := range room.Clients {
if id != userID {
if err := client.WriteMessage(websocket.TextMessage, msg); err != nil {
delete(room.Clients, id)
}
}
}
}
}
2. MCU服务器核心逻辑
// mcu.go
package main
import (
"github.com/pion/webrtc/v3"
"sync"
)
type MCU struct {
peers map[string]*webrtc.PeerConnection
audioTracks map[string]*webrtc.TrackLocalStaticRTP
videoTracks map[string]*webrtc.TrackLocalStaticRTP
mu sync.Mutex
}
func NewMCU() *MCU {
return &MCU{
peers: make(map[string]*webrtc.PeerConnection),
audioTracks: make(map[string]*webrtc.TrackLocalStaticRTP),
videoTracks: make(map[string]*webrtc.TrackLocalStaticRTP),
}
}
// 混音处理
func (m *MCU) mixAudio() {
// TODO: 实现Opus音频混合逻辑
// 使用github.com/pion/rtp进行RTP包处理
}
// 视频合成处理
func (m *MCU) composeVideo() {
// TODO: 实现视频合成逻辑(H264/VP8)
}
// 网络自适应控制
func (m *MCU) adaptNetwork(stat webrtc.StatsReport) {
// 根据网络状况调整码率
// 实现参考:github.com/pion/interceptor/pkg/intervalpli
}
三、客户端核心代码(Vue3)
// webrtc-handler.js
export class WebRTCClient {
constructor(roomId, userId) {
this.pc = new RTCPeerConnection({
iceServers: [{ urls: 'stun:stun.l.google.com:19302' }]
});
this.roomId = roomId;
this.userId = userId;
this.ws = new WebSocket(`ws://yourserver:8080/ws/${roomId}/${userId}`);
this.setupWebSocket();
this.setupPeerConnection();
}
setupWebSocket() {
this.ws.onmessage = async (event) => {
const message = JSON.parse(event.data);
if (message.sdp) {
await this.pc.setRemoteDescription(new RTCSessionDescription(message.sdp));
if (message.sdp.type === 'offer') {
const answer = await this.pc.createAnswer();
await this.pc.setLocalDescription(answer);
this.ws.send(JSON.stringify({ sdp: this.pc.localDescription }));
}
} else if (message.ice) {
try {
await this.pc.addIceCandidate(new RTCIceCandidate(message.ice));
} catch (e) { /* 处理异常 */ }
}
};
}
setupPeerConnection() {
// 添加本地音视频轨道
navigator.mediaDevices.getUserMedia({ video: true, audio: true })
.then(stream => {
stream.getTracks().forEach(track => {
this.pc.addTrack(track, stream);
});
});
// ICE Candidate处理
this.pc.onicecandidate = ({ candidate }) => {
if (candidate) {
this.ws.send(JSON.stringify({ ice: candidate }));
}
};
// 远程流处理
this.pc.ontrack = (event) => {
const remoteStream = new MediaStream();
remoteStream.addTrack(event.track);
// 渲染到video元素
document.getElementById('remoteVideo').srcObject = remoteStream;
};
}
async createOffer() {
const offer = await this.pc.createOffer();
await this.pc.setLocalDescription(offer);
this.ws.send(JSON.stringify({ sdp: offer }));
}
}
四、关键功能实现说明
-
AI音频处理:
// 使用TensorFlow.js实现浏览器端降噪
import * as tf from '@tensorflow/tfjs';
import {RNNoise} from 'rnnoise-wasm';
async function processAudio(audioBuffer) {
const rnnoise = await RNNoise.load();
const processed = rnnoise.process(audioBuffer);
return processed;
}
-
SRTP安全传输(WebRTC自动处理):
// Go服务端配置DTLS
func createPeerConnection() (*webrtc.PeerConnection, error) {
m := webrtc.MediaEngine{}
m.RegisterCodec(webrtc.RTPCodecParameters{
RTPCodecCapability: webrtc.RTPCodecCapability{
MimeType: webrtc.MimeTypeOpus,
ClockRate: 48000,
Channels: 2,
},
PayloadType: 111,
})
api := webrtc.NewAPI(webrtc.WithMediaEngine(&m))
return api.NewPeerConnection(webrtc.Configuration{
ICEServers: []webrtc.ICEServer{
{URLs: []string{"stun:stun.l.google.com:19302"}},
},
})
}
-
网络自适应控制:
// 客户端带宽检测
pc.onconnectionstatechange = () => {
if (pc.connectionState === 'connected') {
setInterval(async () => {
const stats = await pc.getStats();
stats.forEach(report => {
if (report.type === 'remote-inbound-rtp') {
const fractionLost = report.packetsLost / report.packetsReceived;
if (fractionLost > 0.05) {
adjustBitrate('reduce');
}
}
});
}, 1000);
}
};
function adjustBitrate(action) {
const senders = pc.getSenders();
senders.forEach(sender => {
const parameters = sender.getParameters();
if (!parameters.encodings) return;
parameters.encodings.forEach(encoding => {
if (action === 'reduce') {
encoding.maxBitrate *= 0.8;
} else {
encoding.maxBitrate *= 1.2;
}
});
sender.setParameters(parameters);
});
}
五、部署和扩展建议
-
服务器部署:
# 编译Go服务
GOOS=linux GOARCH=amd64 go build -o meetingserver
# 使用Docker部署
FROM alpine:latest
RUN apk add --no-cache ffmpeg
COPY meetingserver /app/
CMD ["/app/meetingserver"]
-
横向扩展方案:
// 使用Redis进行房间状态同步
import "github.com/go-redis/redis/v8"
var redisClient = redis.NewClient(&redis.Options{
Addr: "redis-cluster:6379",
Password: "",
DB: 0,
})
func syncRoomState(roomID string) {
// 将房间状态存储到Redis
}
六、需要继续完善的部分
-
MCU服务器的具体混流逻辑实现
-
完整的STUN/TURN服务器配置
-
详细的API接口文档
-
前端UI组件实现
-
压力测试和性能优化
-
详细的错误处理机制
-
身份认证和权限管理
以上代码提供了视频会议系统的核心框架,实际生产环境需要根据具体需求进行以下增强:
-
增加ICE候选收集和处理的完整逻辑
-
实现完整的媒体服务器集群
-
添加详细的日志监控系统
-
实现QoS质量控制算法
-
增加自动重连机制
-
实现完整的房间管理API
建议在实际开发中结合以下技术栈:
-
媒体处理:Pion WebRTC、GStreamer
-
网络优化:QUIC协议、BBR拥塞控制
-
音频处理:SpeexDSP、RNNoise
-
视频处理:FFmpeg、OpenCV