From 5ea2094378f25a3f98d8f370dafaf9367c05c2e5 Mon Sep 17 00:00:00 2001
From: Xiajijian <1176061145@qq.com>
Date: Thu, 05 Feb 2026 09:06:39 +0800
Subject: [PATCH] 1. 增加任务航线websocket。 2. 增加执行人id信息，下发人id信息。
---
ard-work/src/main/java/com/ard/work/service/impl/ArdFlightTaskPartServiceImpl.java | 85 +++++++++++++++++++++++++++++++++---------
1 files changed, 66 insertions(+), 19 deletions(-)
diff --git a/ard-work/src/main/java/com/ard/work/service/impl/ArdFlightTaskPartServiceImpl.java b/ard-work/src/main/java/com/ard/work/service/impl/ArdFlightTaskPartServiceImpl.java
index 9d56393..dc2658d 100644
--- a/ard-work/src/main/java/com/ard/work/service/impl/ArdFlightTaskPartServiceImpl.java
+++ b/ard-work/src/main/java/com/ard/work/service/impl/ArdFlightTaskPartServiceImpl.java
@@ -1,7 +1,11 @@
package com.ard.work.service.impl;
import cn.hutool.core.util.SerializeUtil;
+import com.ard.common.utils.DateUtils;
+import com.ard.work.domain.cache.UavStateCache;
import com.ard.work.domain.cache.UavTelemetryDataCache;
+import com.ard.work.domain.dto.UavFlightStateDTO;
+import com.ard.work.domain.dto.state.UavState;
import com.ard.work.domain.dto.telemetry.TelemetryData;
import com.ard.work.domain.entity.ArdFlightTaskPart;
import com.ard.work.mapper.ArdFlightTaskPartMapper;
@@ -11,12 +15,13 @@
import org.springframework.scheduling.annotation.Async;
import org.springframework.scheduling.annotation.Scheduled;
import org.springframework.stereotype.Service;
-import java.time.LocalDateTime;
-import java.time.temporal.ChronoUnit;
+
import java.util.ArrayList;
+import java.util.Comparator;
import java.util.Date;
import java.util.List;
import java.util.concurrent.ConcurrentHashMap;
+
/**
* 轨迹分片处理业务
*/
@@ -26,11 +31,12 @@
public class ArdFlightTaskPartServiceImpl implements IArdFlightTaskPartService {
private final ArdFlightTaskPartMapper ardflightTaskPartMapper;
-
+ // 上一次飞行状态缓存
+ private final ConcurrentHashMap<String, Integer> lastFlightStatusMap = new ConcurrentHashMap<>();
/**
* 缓存：boxSn -> 当前分片数据
*/
- private final ConcurrentHashMap<String, List<TelemetryData>> cacheMap = new ConcurrentHashMap<>();
+ private final ConcurrentHashMap<String, List<UavFlightStateDTO>> cacheMap = new ConcurrentHashMap<>();
/**
* 分片保存阈值条数
@@ -39,23 +45,57 @@
/**
* 定时任务：每秒读取一次设备状态数据
- * 注意：这里模拟读取状态，实际应该调用设备接口或缓存
*/
@Scheduled(fixedRate = 1000)
public void readTelemetryTask() {
- UavTelemetryDataCache.forEach((boxSn, telemetryData) -> {
- addTelemetryData(telemetryData);
- });
+ log.debug("定时任务：读取遥测数据");
+ try {
+ long now = System.currentTimeMillis();
+ UavTelemetryDataCache.forEach((boxSn, telemetryData) -> {
+ // 1️⃣ 从状态缓存里取当前状态
+ UavState uavState = UavStateCache.get(boxSn);
+ if (uavState == null) {
+ log.warn("状态不存在，不记录");
+ return; // 状态不存在，不记录
+ }
+
+ // 2️⃣ 使用遥测自身时间戳判断是否还活着
+ long dataTs = telemetryData.getTimestamp(); // 设备时间 / 服务器接收时间
+ if (now - dataTs > 3000) {
+ //log.warn("超过 3 秒没有新遥测 → 认为已离线或冻结，不记录：{}", new Date(dataTs));
+ return; // 超过 3 秒没有新遥测 → 认为已离线或冻结，不记录
+ }
+
+ int currentStatus = uavState.getFlightControllerState().getFlightStatus();
+ Integer lastStatus = lastFlightStatusMap.get(boxSn);
+
+ // 仅在“飞行中 → 非飞行中”状态变化时 flush
+ if (lastStatus != null && lastStatus == 2 && currentStatus != 2) {
+ flushRemaining(boxSn);
+ }
+ lastFlightStatusMap.put(boxSn, currentStatus);
+ log.debug("设备 {} 当前状态为：{}", boxSn, currentStatus);
+ // 只有飞行中才添加缓存
+ if (currentStatus == 2) {
+ log.warn("设备 {} 当前状态为飞行中，添加遥测数据到缓存", boxSn);
+ UavFlightStateDTO dto = new UavFlightStateDTO(uavState, telemetryData, dataTs);
+ addTelemetryData(dto);
+ }
+ });
+ }
+ catch (Exception e) {
+ log.error("定时任务：读取遥测数据异常", e);
+ }
}
/**
* 添加一条遥测数据到缓存
*/
@Override
- public void addTelemetryData(TelemetryData telemetryData) {
- String boxSn = telemetryData.getBoxSn();
- List<TelemetryData> list = cacheMap.computeIfAbsent(boxSn, k -> new ArrayList<>());
- list.add(telemetryData);
+ public void addTelemetryData(UavFlightStateDTO uavFlightStateDTO) {
+ String boxSn = uavFlightStateDTO.getTelemetryData().getBoxSn();
+ List<UavFlightStateDTO> list = cacheMap.computeIfAbsent(boxSn, k -> new ArrayList<>());
+ list.add(uavFlightStateDTO);
// 当缓存条数达到阈值 或 时间间隔超过 CHUNK_INTERVAL 时，分片保存
if (list.size() >= CHUNK_SIZE) {
@@ -68,18 +108,22 @@
*/
@Async
public void saveChunk(String boxSn) {
- List<TelemetryData> dataList = cacheMap.getOrDefault(boxSn, new ArrayList<>());
+ List<UavFlightStateDTO> dataList = cacheMap.getOrDefault(boxSn, new ArrayList<>());
if (dataList.isEmpty()) {
return;
}
try {
byte[] blobData = SerializeUtil.serialize(dataList);
-
+ // 取第一个和最后一个状态时间
+ long startTs = dataList.get(0).getTimestamp();
+ long endTs = dataList.get(dataList.size() - 1).getTimestamp();
ArdFlightTaskPart part = ArdFlightTaskPart.builder()
.boxSn(boxSn)
.count(dataList.size())
.dataPart(blobData)
+ .startTime(new Date(startTs))
+ .endTime(new Date(endTs))
.build();
part.setCreateTime(new Date());
ardflightTaskPartMapper.insert(part);
@@ -100,7 +144,7 @@
*/
@Override
public void flushRemaining(String boxSn) {
- List<TelemetryData> dataList = cacheMap.getOrDefault(boxSn, new ArrayList<>());
+ List<UavFlightStateDTO> dataList = cacheMap.getOrDefault(boxSn, new ArrayList<>());
if (!dataList.isEmpty()) {
saveChunk(boxSn);
}
@@ -110,18 +154,21 @@
* 获取完整航线轨迹（合并所有分片）
*/
@Override
- public List<TelemetryData> getCompleteFlightData(ArdFlightTaskPart ardFlightTaskPart) {
- List<TelemetryData> allData = new ArrayList<>();
+ public List<UavFlightStateDTO> getCompleteFlightData(ArdFlightTaskPart ardFlightTaskPart) {
+ List<UavFlightStateDTO> allData = new ArrayList<>();
String boxSn = ardFlightTaskPart.getBoxSn();
- List<ArdFlightTaskPart> parts = ardflightTaskPartMapper.selectByTaskStartTime(ardFlightTaskPart);
+ List<ArdFlightTaskPart> parts = ardflightTaskPartMapper.selectByTimeRange(ardFlightTaskPart);
for (ArdFlightTaskPart part : parts) {
try {
- List<TelemetryData> partData = SerializeUtil.deserialize(part.getDataPart());
+ List<UavFlightStateDTO> partData = SerializeUtil.deserialize(part.getDataPart());
allData.addAll(partData);
} catch (Exception e) {
log.error("反序列化 boxSn={} 分片数据失败", boxSn, e);
}
}
+ // 按 telemetryData.timestamp 升序排序
+ allData.sort(Comparator.comparingLong(dto -> dto.getTelemetryData().getTimestamp()));
+
return allData;
}
}
--
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