电子围栏功能设计与实现
# 电子围栏功能设计与实现
# 1. 功能概述
电子围栏(Geofence)是一种基于地理位置的虚拟边界技术,通过GPS、WiFi、蓝牙等定位技术,在地图上设定虚拟的地理边界,当设备进入或离开这些区域时,系统会自动触发相应的事件和操作。
# 1.1 核心特性
- 多种围栏类型:支持圆形、多边形、矩形围栏
- 实时监控:设备位置实时跟踪和围栏状态监控
- 事件触发:进入/离开围栏自动触发告警或操作
- 灵活配置:支持动态创建、修改、删除围栏
- 多设备管理:同时监控多个设备的围栏状态
# 1.2 应用场景
- 车辆管理:车队管理、车辆防盗、行驶路线监控
- 人员安全:儿童安全、老人看护、员工考勤
- 资产管理:贵重物品防盗、设备位置监控
- 智慧城市:区域管控、环境监测、应急响应
# 2. 系统架构
graph TB
A[移动设备/GPS终端] --> B[位置数据采集]
B --> C[数据传输层]
C --> D[位置服务网关]
D --> E[围栏计算引擎]
E --> F[事件处理器]
F --> G[告警通知系统]
E --> H[位置数据存储]
I[围栏管理后台] --> J[围栏配置服务]
J --> E
K[实时监控大屏] --> L[数据可视化服务]
L --> H
# 2.1 核心组件
# 位置数据采集层
- GPS定位模块
- WiFi定位辅助
- 基站定位补充
- 传感器融合定位
# 数据传输层
- MQTT协议传输
- HTTP/HTTPS接口
- WebSocket实时通信
- 数据压缩与加密
# 围栏计算引擎
- 地理围栏算法
- 实时位置判断
- 状态变化检测
- 性能优化处理
# 事件处理系统
- 事件规则引擎
- 告警策略配置
- 通知渠道管理
- 历史事件记录
# 3. 技术实现
# 3.1 围栏算法实现
# 圆形围栏判断
/**
* 圆形围栏判断算法
*/
public class CircleGeofence {
private double centerLat; // 圆心纬度
private double centerLng; // 圆心经度
private double radius; // 半径(米)
/**
* 判断点是否在圆形围栏内
* @param lat 纬度
* @param lng 经度
* @return true-在围栏内,false-在围栏外
*/
public boolean isInside(double lat, double lng) {
double distance = calculateDistance(centerLat, centerLng, lat, lng);
return distance <= radius;
}
/**
* 计算两点间距离(米)
* 使用Haversine公式
*/
private double calculateDistance(double lat1, double lng1, double lat2, double lng2) {
final double R = 6371000; // 地球半径(米)
double dLat = Math.toRadians(lat2 - lat1);
double dLng = Math.toRadians(lng2 - lng1);
double a = Math.sin(dLat / 2) * Math.sin(dLat / 2) +
Math.cos(Math.toRadians(lat1)) * Math.cos(Math.toRadians(lat2)) *
Math.sin(dLng / 2) * Math.sin(dLng / 2);
double c = 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1 - a));
return R * c;
}
}
# 多边形围栏判断
/**
* 多边形围栏判断算法
* 使用射线法(Ray Casting Algorithm)
*/
public class PolygonGeofence {
private List<Point> vertices; // 多边形顶点列表
public static class Point {
public double lat;
public double lng;
public Point(double lat, double lng) {
this.lat = lat;
this.lng = lng;
}
}
/**
* 判断点是否在多边形围栏内
*/
public boolean isInside(double lat, double lng) {
int intersectCount = 0;
for (int i = 0; i < vertices.size(); i++) {
Point p1 = vertices.get(i);
Point p2 = vertices.get((i + 1) % vertices.size());
if (rayIntersectsSegment(lat, lng, p1, p2)) {
intersectCount++;
}
}
// 奇数个交点表示在多边形内
return (intersectCount % 2) == 1;
}
/**
* 判断射线是否与线段相交
*/
private boolean rayIntersectsSegment(double lat, double lng, Point p1, Point p2) {
// 射线法实现细节
if (p1.lat > lat != p2.lat > lat) {
double intersectLng = (p2.lng - p1.lng) * (lat - p1.lat) / (p2.lat - p1.lat) + p1.lng;
if (lng < intersectLng) {
return true;
}
}
return false;
}
}
# 3.2 围栏服务实现
@Service
public class GeofenceService {
@Autowired
private GeofenceRepository geofenceRepository;
@Autowired
private DeviceLocationService deviceLocationService;
@Autowired
private EventNotificationService notificationService;
/**
* 检查设备位置与围栏状态
*/
public void checkDeviceGeofenceStatus(String deviceId, double lat, double lng) {
// 获取设备关联的所有围栏
List<Geofence> geofences = geofenceRepository.findByDeviceId(deviceId);
for (Geofence geofence : geofences) {
boolean currentInside = isInsideGeofence(geofence, lat, lng);
boolean previousInside = deviceLocationService.getPreviousGeofenceStatus(deviceId, geofence.getId());
// 检查状态变化
if (currentInside != previousInside) {
GeofenceEvent event = new GeofenceEvent();
event.setDeviceId(deviceId);
event.setGeofenceId(geofence.getId());
event.setEventType(currentInside ? EventType.ENTER : EventType.EXIT);
event.setLatitude(lat);
event.setLongitude(lng);
event.setTimestamp(System.currentTimeMillis());
// 触发事件处理
handleGeofenceEvent(event);
// 更新设备围栏状态
deviceLocationService.updateGeofenceStatus(deviceId, geofence.getId(), currentInside);
}
}
}
/**
* 判断位置是否在围栏内
*/
private boolean isInsideGeofence(Geofence geofence, double lat, double lng) {
switch (geofence.getType()) {
case CIRCLE:
CircleGeofence circle = new CircleGeofence(
geofence.getCenterLat(),
geofence.getCenterLng(),
geofence.getRadius()
);
return circle.isInside(lat, lng);
case POLYGON:
PolygonGeofence polygon = new PolygonGeofence(geofence.getVertices());
return polygon.isInside(lat, lng);
default:
return false;
}
}
/**
* 处理围栏事件
*/
private void handleGeofenceEvent(GeofenceEvent event) {
// 保存事件记录
saveGeofenceEvent(event);
// 发送通知
notificationService.sendGeofenceNotification(event);
// 触发自定义规则
executeCustomRules(event);
}
}
# 3.3 实时位置处理
@Component
public class LocationProcessor {
@Autowired
private GeofenceService geofenceService;
@Autowired
private RedisTemplate<String, Object> redisTemplate;
/**
* 处理设备位置更新
*/
@EventListener
public void handleLocationUpdate(LocationUpdateEvent event) {
String deviceId = event.getDeviceId();
double lat = event.getLatitude();
double lng = event.getLongitude();
// 位置数据验证
if (!isValidLocation(lat, lng)) {
log.warn("Invalid location data for device: {}", deviceId);
return;
}
// 缓存最新位置
cacheDeviceLocation(deviceId, lat, lng);
// 检查围栏状态
geofenceService.checkDeviceGeofenceStatus(deviceId, lat, lng);
// 更新位置历史
updateLocationHistory(deviceId, lat, lng);
}
/**
* 缓存设备位置
*/
private void cacheDeviceLocation(String deviceId, double lat, double lng) {
String key = "device:location:" + deviceId;
Map<String, Object> location = new HashMap<>();
location.put("latitude", lat);
location.put("longitude", lng);
location.put("timestamp", System.currentTimeMillis());
redisTemplate.opsForHash().putAll(key, location);
redisTemplate.expire(key, Duration.ofHours(24));
}
/**
* 验证位置数据有效性
*/
private boolean isValidLocation(double lat, double lng) {
return lat >= -90 && lat <= 90 && lng >= -180 && lng <= 180;
}
}
# 4. 数据模型设计
# 4.1 围栏实体
@Entity
@Table(name = "geofence")
public class Geofence {
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
private Long id;
@Column(nullable = false)
private String name; // 围栏名称
@Column(nullable = false)
private String description; // 围栏描述
@Enumerated(EnumType.STRING)
private GeofenceType type; // 围栏类型:CIRCLE, POLYGON, RECTANGLE
@Column(name = "center_lat")
private Double centerLat; // 圆心纬度(圆形围栏)
@Column(name = "center_lng")
private Double centerLng; // 圆心经度(圆形围栏)
private Double radius; // 半径(圆形围栏)
@Column(columnDefinition = "TEXT")
private String vertices; // 顶点坐标(多边形围栏,JSON格式)
@Enumerated(EnumType.STRING)
private GeofenceStatus status; // 围栏状态:ACTIVE, INACTIVE
@Column(name = "created_time")
private LocalDateTime createdTime;
@Column(name = "updated_time")
private LocalDateTime updatedTime;
// 关联设备
@ManyToMany
@JoinTable(
name = "device_geofence",
joinColumns = @JoinColumn(name = "geofence_id"),
inverseJoinColumns = @JoinColumn(name = "device_id")
)
private Set<Device> devices = new HashSet<>();
// getter/setter省略
}
# 4.2 围栏事件实体
@Entity
@Table(name = "geofence_event")
public class GeofenceEvent {
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
private Long id;
@Column(name = "device_id", nullable = false)
private String deviceId;
@Column(name = "geofence_id", nullable = false)
private Long geofenceId;
@Enumerated(EnumType.STRING)
private EventType eventType; // ENTER, EXIT
private Double latitude;
private Double longitude;
@Column(name = "event_time")
private LocalDateTime eventTime;
@Column(name = "processed")
private Boolean processed = false; // 是否已处理
// getter/setter省略
}
# 5. API接口设计
# 5.1 围栏管理接口
@RestController
@RequestMapping("/api/geofence")
public class GeofenceController {
@Autowired
private GeofenceService geofenceService;
/**
* 创建围栏
*/
@PostMapping
public ResponseEntity<GeofenceDTO> createGeofence(@RequestBody @Valid CreateGeofenceRequest request) {
GeofenceDTO geofence = geofenceService.createGeofence(request);
return ResponseEntity.ok(geofence);
}
/**
* 获取围栏列表
*/
@GetMapping
public ResponseEntity<PageResult<GeofenceDTO>> getGeofences(
@RequestParam(defaultValue = "1") int page,
@RequestParam(defaultValue = "20") int size,
@RequestParam(required = false) String keyword) {
PageResult<GeofenceDTO> result = geofenceService.getGeofences(page, size, keyword);
return ResponseEntity.ok(result);
}
/**
* 获取围栏详情
*/
@GetMapping("/{id}")
public ResponseEntity<GeofenceDTO> getGeofence(@PathVariable Long id) {
GeofenceDTO geofence = geofenceService.getGeofence(id);
return ResponseEntity.ok(geofence);
}
/**
* 更新围栏
*/
@PutMapping("/{id}")
public ResponseEntity<GeofenceDTO> updateGeofence(
@PathVariable Long id,
@RequestBody @Valid UpdateGeofenceRequest request) {
GeofenceDTO geofence = geofenceService.updateGeofence(id, request);
return ResponseEntity.ok(geofence);
}
/**
* 删除围栏
*/
@DeleteMapping("/{id}")
public ResponseEntity<Void> deleteGeofence(@PathVariable Long id) {
geofenceService.deleteGeofence(id);
return ResponseEntity.ok().build();
}
/**
* 绑定设备到围栏
*/
@PostMapping("/{id}/devices")
public ResponseEntity<Void> bindDevices(
@PathVariable Long id,
@RequestBody List<String> deviceIds) {
geofenceService.bindDevices(id, deviceIds);
return ResponseEntity.ok().build();
}
}
# 5.2 围栏事件接口
@RestController
@RequestMapping("/api/geofence/events")
public class GeofenceEventController {
@Autowired
private GeofenceEventService eventService;
/**
* 获取围栏事件列表
*/
@GetMapping
public ResponseEntity<PageResult<GeofenceEventDTO>> getEvents(
@RequestParam(defaultValue = "1") int page,
@RequestParam(defaultValue = "20") int size,
@RequestParam(required = false) String deviceId,
@RequestParam(required = false) Long geofenceId,
@RequestParam(required = false) EventType eventType,
@RequestParam(required = false) @DateTimeFormat(iso = DateTimeFormat.ISO.DATE_TIME) LocalDateTime startTime,
@RequestParam(required = false) @DateTimeFormat(iso = DateTimeFormat.ISO.DATE_TIME) LocalDateTime endTime) {
GeofenceEventQuery query = GeofenceEventQuery.builder()
.deviceId(deviceId)
.geofenceId(geofenceId)
.eventType(eventType)
.startTime(startTime)
.endTime(endTime)
.build();
PageResult<GeofenceEventDTO> result = eventService.getEvents(page, size, query);
return ResponseEntity.ok(result);
}
/**
* 获取设备当前围栏状态
*/
@GetMapping("/device/{deviceId}/status")
public ResponseEntity<List<DeviceGeofenceStatusDTO>> getDeviceGeofenceStatus(@PathVariable String deviceId) {
List<DeviceGeofenceStatusDTO> status = eventService.getDeviceGeofenceStatus(deviceId);
return ResponseEntity.ok(status);
}
}
# 6. 前端实现
# 6.1 地图围栏绘制
// 基于高德地图的围栏绘制功能
class GeofenceMap {
constructor(containerId) {
this.map = new AMap.Map(containerId, {
zoom: 13,
center: [116.397428, 39.90923]
});
this.mouseTool = new AMap.MouseTool(this.map);
this.geofences = [];
this.initEvents();
}
/**
* 绘制圆形围栏
*/
drawCircle() {
this.mouseTool.circle({
fillColor: '#00b0ff',
strokeColor: '#80d8ff',
fillOpacity: 0.3,
strokeWeight: 2
});
}
/**
* 绘制多边形围栏
*/
drawPolygon() {
this.mouseTool.polygon({
fillColor: '#00b0ff',
strokeColor: '#80d8ff',
fillOpacity: 0.3,
strokeWeight: 2
});
}
/**
* 初始化事件监听
*/
initEvents() {
// 监听绘制完成事件
this.mouseTool.on('draw', (event) => {
const overlay = event.obj;
const geofenceData = this.extractGeofenceData(overlay);
// 显示围栏配置对话框
this.showGeofenceConfig(geofenceData, overlay);
});
}
/**
* 提取围栏数据
*/
extractGeofenceData(overlay) {
if (overlay.CLASS_NAME === 'AMap.Circle') {
const center = overlay.getCenter();
return {
type: 'CIRCLE',
centerLat: center.lat,
centerLng: center.lng,
radius: overlay.getRadius()
};
} else if (overlay.CLASS_NAME === 'AMap.Polygon') {
const path = overlay.getPath();
return {
type: 'POLYGON',
vertices: path.map(point => ({
lat: point.lat,
lng: point.lng
}))
};
}
}
/**
* 显示围栏配置对话框
*/
showGeofenceConfig(geofenceData, overlay) {
const dialog = new GeofenceConfigDialog({
data: geofenceData,
onSave: (config) => {
this.saveGeofence(config, overlay);
},
onCancel: () => {
this.map.remove(overlay);
}
});
dialog.show();
}
/**
* 保存围栏
*/
async saveGeofence(config, overlay) {
try {
const response = await fetch('/api/geofence', {
method: 'POST',
headers: {
'Content-Type': 'application/json'
},
body: JSON.stringify(config)
});
if (response.ok) {
const geofence = await response.json();
overlay.geofenceId = geofence.id;
this.geofences.push({
id: geofence.id,
overlay: overlay,
config: config
});
this.$message.success('围栏创建成功');
}
} catch (error) {
console.error('保存围栏失败:', error);
this.$message.error('保存围栏失败');
this.map.remove(overlay);
}
}
/**
* 加载已有围栏
*/
async loadGeofences() {
try {
const response = await fetch('/api/geofence');
const result = await response.json();
result.data.forEach(geofence => {
this.renderGeofence(geofence);
});
} catch (error) {
console.error('加载围栏失败:', error);
}
}
/**
* 渲染围栏到地图
*/
renderGeofence(geofence) {
let overlay;
if (geofence.type === 'CIRCLE') {
overlay = new AMap.Circle({
center: [geofence.centerLng, geofence.centerLat],
radius: geofence.radius,
fillColor: '#00b0ff',
strokeColor: '#80d8ff',
fillOpacity: 0.3,
strokeWeight: 2
});
} else if (geofence.type === 'POLYGON') {
const path = geofence.vertices.map(vertex => [vertex.lng, vertex.lat]);
overlay = new AMap.Polygon({
path: path,
fillColor: '#00b0ff',
strokeColor: '#80d8ff',
fillOpacity: 0.3,
strokeWeight: 2
});
}
if (overlay) {
overlay.geofenceId = geofence.id;
this.map.add(overlay);
// 添加点击事件
overlay.on('click', () => {
this.showGeofenceInfo(geofence);
});
}
}
}
# 6.2 实时监控界面
<template>
<div class="geofence-monitor">
<!-- 地图容器 -->
<div class="map-container">
<div id="map" class="map"></div>
<!-- 地图控制面板 -->
<div class="map-controls">
<el-button-group>
<el-button @click="drawCircle" icon="el-icon-circle-plus">圆形围栏</el-button>
<el-button @click="drawPolygon" icon="el-icon-s-grid">多边形围栏</el-button>
<el-button @click="clearAll" icon="el-icon-delete">清除</el-button>
</el-button-group>
</div>
</div>
<!-- 侧边栏 -->
<div class="sidebar">
<!-- 围栏列表 -->
<el-card class="geofence-list">
<div slot="header">
<span>围栏列表</span>
<el-button style="float: right; padding: 3px 0" type="text" @click="refreshGeofences">刷新</el-button>
</div>
<el-table :data="geofences" size="small">
<el-table-column prop="name" label="名称" width="120"></el-table-column>
<el-table-column prop="type" label="类型" width="80">
<template slot-scope="scope">
<el-tag size="mini" :type="scope.row.type === 'CIRCLE' ? 'primary' : 'success'">
{{ scope.row.type === 'CIRCLE' ? '圆形' : '多边形' }}
</el-tag>
</template>
</el-table-column>
<el-table-column prop="deviceCount" label="设备数" width="60"></el-table-column>
<el-table-column label="操作" width="100">
<template slot-scope="scope">
<el-button size="mini" @click="editGeofence(scope.row)">编辑</el-button>
<el-button size="mini" type="danger" @click="deleteGeofence(scope.row)">删除</el-button>
</template>
</el-table-column>
</el-table>
</el-card>
<!-- 实时事件 -->
<el-card class="event-list">
<div slot="header">
<span>实时事件</span>
</div>
<div class="event-item" v-for="event in realtimeEvents" :key="event.id">
<div class="event-header">
<span class="device-id">{{ event.deviceId }}</span>
<span class="event-time">{{ formatTime(event.eventTime) }}</span>
</div>
<div class="event-content">
<el-tag :type="event.eventType === 'ENTER' ? 'success' : 'warning'" size="mini">
{{ event.eventType === 'ENTER' ? '进入' : '离开' }}
</el-tag>
<span class="geofence-name">{{ event.geofenceName }}</span>
</div>
</div>
</el-card>
</div>
</div>
</template>
<script>
export default {
name: 'GeofenceMonitor',
data() {
return {
map: null,
geofenceMap: null,
geofences: [],
realtimeEvents: [],
websocket: null
}
},
mounted() {
this.initMap();
this.loadGeofences();
this.connectWebSocket();
},
beforeDestroy() {
if (this.websocket) {
this.websocket.close();
}
},
methods: {
/**
* 初始化地图
*/
initMap() {
this.geofenceMap = new GeofenceMap('map');
},
/**
* 绘制圆形围栏
*/
drawCircle() {
this.geofenceMap.drawCircle();
},
/**
* 绘制多边形围栏
*/
drawPolygon() {
this.geofenceMap.drawPolygon();
},
/**
* 清除所有围栏
*/
clearAll() {
this.$confirm('确认清除所有围栏?', '提示', {
confirmButtonText: '确定',
cancelButtonText: '取消',
type: 'warning'
}).then(() => {
this.geofenceMap.clearAll();
});
},
/**
* 加载围栏列表
*/
async loadGeofences() {
try {
const response = await this.$http.get('/api/geofence');
this.geofences = response.data.data;
// 在地图上显示围栏
this.geofenceMap.loadGeofences();
} catch (error) {
this.$message.error('加载围栏失败');
}
},
/**
* 连接WebSocket获取实时事件
*/
connectWebSocket() {
const wsUrl = `ws://${location.host}/ws/geofence/events`;
this.websocket = new WebSocket(wsUrl);
this.websocket.onmessage = (event) => {
const eventData = JSON.parse(event.data);
this.handleRealtimeEvent(eventData);
};
this.websocket.onerror = (error) => {
console.error('WebSocket连接错误:', error);
};
},
/**
* 处理实时事件
*/
handleRealtimeEvent(eventData) {
// 添加到事件列表
this.realtimeEvents.unshift(eventData);
// 保持最新50条事件
if (this.realtimeEvents.length > 50) {
this.realtimeEvents = this.realtimeEvents.slice(0, 50);
}
// 在地图上显示事件
this.geofenceMap.showEventOnMap(eventData);
// 显示通知
this.$notify({
title: '围栏事件',
message: `设备 ${eventData.deviceId} ${eventData.eventType === 'ENTER' ? '进入' : '离开'} 围栏 ${eventData.geofenceName}`,
type: eventData.eventType === 'ENTER' ? 'success' : 'warning',
duration: 3000
});
},
/**
* 格式化时间
*/
formatTime(timestamp) {
return new Date(timestamp).toLocaleTimeString();
}
}
}
</script>
<style scoped>
.geofence-monitor {
display: flex;
height: 100vh;
}
.map-container {
flex: 1;
position: relative;
}
.map {
width: 100%;
height: 100%;
}
.map-controls {
position: absolute;
top: 10px;
left: 10px;
z-index: 1000;
}
.sidebar {
width: 350px;
background: #f5f5f5;
padding: 10px;
overflow-y: auto;
}
.geofence-list {
margin-bottom: 10px;
}
.event-list {
height: 400px;
overflow-y: auto;
}
.event-item {
padding: 8px;
border-bottom: 1px solid #eee;
}
.event-header {
display: flex;
justify-content: space-between;
margin-bottom: 4px;
}
.device-id {
font-weight: bold;
}
.event-time {
color: #999;
font-size: 12px;
}
.event-content {
display: flex;
align-items: center;
gap: 8px;
}
.geofence-name {
color: #666;
}
</style>
# 7. 性能优化
# 7.1 算法优化
- 空间索引:使用R-tree或Quad-tree等空间索引结构,快速筛选可能相关的围栏
- 缓存机制:缓存围栏计算结果,避免重复计算
- 批量处理:对多个设备位置进行批量围栏检测
- 异步处理:围栏事件处理采用异步方式,避免阻塞主流程
# 7.2 数据库优化
-- 为围栏表创建空间索引
CREATE INDEX idx_geofence_location ON geofence
USING GIST (ST_GeomFromText(CONCAT('POINT(', center_lng, ' ', center_lat, ')')));
-- 为事件表创建时间索引
CREATE INDEX idx_geofence_event_time ON geofence_event (event_time DESC);
-- 为设备ID创建索引
CREATE INDEX idx_geofence_event_device ON geofence_event (device_id, event_time DESC);
# 7.3 缓存策略
@Service
public class GeofenceCacheService {
@Autowired
private RedisTemplate<String, Object> redisTemplate;
private static final String GEOFENCE_CACHE_KEY = "geofence:";
private static final String DEVICE_STATUS_KEY = "device:geofence:status:";
/**
* 缓存围栏信息
*/
public void cacheGeofence(Geofence geofence) {
String key = GEOFENCE_CACHE_KEY + geofence.getId();
redisTemplate.opsForValue().set(key, geofence, Duration.ofHours(1));
}
/**
* 获取缓存的围栏信息
*/
public Geofence getCachedGeofence(Long geofenceId) {
String key = GEOFENCE_CACHE_KEY + geofenceId;
return (Geofence) redisTemplate.opsForValue().get(key);
}
/**
* 缓存设备围栏状态
*/
public void cacheDeviceGeofenceStatus(String deviceId, Long geofenceId, boolean inside) {
String key = DEVICE_STATUS_KEY + deviceId;
redisTemplate.opsForHash().put(key, geofenceId.toString(), inside);
redisTemplate.expire(key, Duration.ofDays(1));
}
/**
* 获取设备围栏状态
*/
public Boolean getDeviceGeofenceStatus(String deviceId, Long geofenceId) {
String key = DEVICE_STATUS_KEY + deviceId;
return (Boolean) redisTemplate.opsForHash().get(key, geofenceId.toString());
}
}
# 8. 监控与告警
# 8.1 系统监控指标
- 位置更新频率:每秒处理的位置更新数量
- 围栏检测延迟:从位置更新到围栏状态判断的时间
- 事件处理延迟:从围栏事件产生到通知发送的时间
- 缓存命中率:围栏信息和设备状态的缓存命中率
- 错误率:位置数据错误、围栏计算错误的比例
# 8.2 告警配置
# 监控配置
monitoring:
geofence:
# 位置更新监控
location-update:
threshold: 1000 # 每秒处理数量阈值
alert-delay: 30s # 告警延迟
# 围栏检测延迟监控
detection-latency:
threshold: 5s # 延迟阈值
alert-delay: 60s
# 错误率监控
error-rate:
threshold: 0.01 # 1%错误率阈值
alert-delay: 300s
# 9. 部署与运维
# 9.1 Docker部署
# Dockerfile
FROM openjdk:11-jre-slim
VOLUME /tmp
COPY target/geofence-service.jar app.jar
EXPOSE 8080
ENTRYPOINT ["java", "-jar", "/app.jar"]
# docker-compose.yml
version: '3.8'
services:
geofence-service:
build: .
ports:
- "8080:8080"
environment:
- SPRING_PROFILES_ACTIVE=prod
- SPRING_DATASOURCE_URL=jdbc:mysql://mysql:3306/geofence
- SPRING_REDIS_HOST=redis
depends_on:
- mysql
- redis
networks:
- geofence-network
mysql:
image: mysql:8.0
environment:
- MYSQL_ROOT_PASSWORD=root123
- MYSQL_DATABASE=geofence
volumes:
- mysql-data:/var/lib/mysql
networks:
- geofence-network
redis:
image: redis:6.2
volumes:
- redis-data:/data
networks:
- geofence-network
volumes:
mysql-data:
redis-data:
networks:
geofence-network:
driver: bridge
# 9.2 Kubernetes部署
# geofence-deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: geofence-service
labels:
app: geofence-service
spec:
replicas: 3
selector:
matchLabels:
app: geofence-service
template:
metadata:
labels:
app: geofence-service
spec:
containers:
- name: geofence-service
image: geofence-service:latest
ports:
- containerPort: 8080
env:
- name: SPRING_PROFILES_ACTIVE
value: "k8s"
- name: SPRING_DATASOURCE_URL
value: "jdbc:mysql://mysql-service:3306/geofence"
- name: SPRING_REDIS_HOST
value: "redis-service"
resources:
requests:
memory: "512Mi"
cpu: "500m"
limits:
memory: "1Gi"
cpu: "1000m"
livenessProbe:
httpGet:
path: /actuator/health
port: 8080
initialDelaySeconds: 30
periodSeconds: 10
readinessProbe:
httpGet:
path: /actuator/health
port: 8080
initialDelaySeconds: 5
periodSeconds: 5
---
apiVersion: v1
kind: Service
metadata:
name: geofence-service
spec:
selector:
app: geofence-service
ports:
- protocol: TCP
port: 80
targetPort: 8080
type: LoadBalancer
# 10. 总结
电子围栏功能是物联网系统中的重要组成部分,通过本文档的设计和实现方案,可以构建一个高性能、可扩展的电子围栏系统。
# 10.1 核心优势
- 高精度定位:支持多种定位技术融合,提供精确的位置服务
- 实时响应:毫秒级围栏状态检测和事件触发
- 灵活配置:支持多种围栏类型和自定义规则
- 高可用性:分布式架构设计,支持水平扩展
- 易于集成:标准化API接口,便于第三方系统集成
# 10.2 应用前景
随着物联网技术的发展和5G网络的普及,电子围栏技术将在更多场景中得到应用,如智慧城市、智能交通、工业4.0等领域,为数字化转型提供重要的技术支撑。