From 05f799b8a5ce57b1f98dc5f8ab08308c32a6ec63 Mon Sep 17 00:00:00 2001
From: liusuyi <1951119284@qq.com>
Date: Fri, 16 Jan 2026 09:35:22 +0800
Subject: [PATCH] 优化

---
 ard-work/src/main/java/com/ard/work/service/impl/ArdFlightTaskPartServiceImpl.java |   76 +++++++++++++++++++++++++------------
 1 files changed, 51 insertions(+), 25 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 4f20a52..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
@@ -1,6 +1,7 @@
 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;
@@ -14,10 +15,13 @@
 import org.springframework.scheduling.annotation.Async;
 import org.springframework.scheduling.annotation.Scheduled;
 import org.springframework.stereotype.Service;
+
 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
  */
@@ -27,7 +31,8 @@
 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
      */
@@ -40,30 +45,47 @@
 
     /**
      * 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) -> {
+       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
+                }
 
-            // 从状态缓存里取当前状态
-            UavState uavState = UavStateCache.get(boxSn);
-            if (uavState == null) {
-                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
+                }
 
-            if(uavState.getFlightControllerState().getFlightStatus()!=2)
-            {
-                return; // 飞行状态不是飞行中,不记录
-            }
+                int currentStatus = uavState.getFlightControllerState().getFlightStatus();
+                Integer lastStatus = lastFlightStatusMap.get(boxSn);
 
-            UavFlightStateDTO dto = new UavFlightStateDTO(
-                    uavState,
-                    telemetryData,
-                    System.currentTimeMillis()
-            );
-            addTelemetryData(dto);
-        });
+                // 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);
+        }
     }
 
     /**
@@ -93,16 +115,17 @@
 
         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();
-            // 使用 list 中第一条数据的时间作为 createTime
-            long firstTimeMillis = dataList.get(0).getTimestamp();
-            Date createTime = new Date(firstTimeMillis);
-            part.setCreateTime(createTime);
+            part.setCreateTime(new Date());
             ardflightTaskPartMapper.insert(part);
 
             log.info("设备 {} 分片保存 {} 条飞行数据到数据库成功", boxSn, dataList.size());
@@ -134,7 +157,7 @@
     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<UavFlightStateDTO> partData = SerializeUtil.deserialize(part.getDataPart());
@@ -143,6 +166,9 @@
                 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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