From f56ac229a0a897d81ce7066262ff22f2dd7bf651 Mon Sep 17 00:00:00 2001
From: Xiajijian <1176061145@qq.com>
Date: Fri, 26 Dec 2025 12:37:05 +0800
Subject: [PATCH] 1. 批量新增无人机盒子业务逻辑优化。
---
ard-work/src/main/java/com/ard/work/service/impl/ArdFlightTaskPartServiceImpl.java | 42 ++++++++++++++++++++++++------------------
1 files changed, 24 insertions(+), 18 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 46c0ef5..68357bf 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
@@ -14,11 +14,13 @@
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
*/
@@ -28,7 +30,8 @@
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
*/
@@ -60,18 +63,20 @@
return; // 超过 3 秒没有新遥测 → 认为已离线或冻结，不记录
}
- // 3️⃣ 飞行状态必须是飞行中
- 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,
- dataTs
- );
- 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);
+
+ // 只有飞行中才添加缓存
+ if (currentStatus == 2) {
+ UavFlightStateDTO dto = new UavFlightStateDTO(uavState, telemetryData, dataTs);
+ addTelemetryData(dto);
+ }
});
}
@@ -102,16 +107,17 @@
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());
@@ -143,7 +149,7 @@
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());
--
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