CompareDoubleThread.cpp 26 KB

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  1. #include "CompareDoubleThread.h"
  2. #include "GlobalInfo.h"
  3. #include "GlobalVariable.h"
  4. #include "GlobalInfo.h"
  5. #include "ThreadManager.h"
  6. #include "ConsistencyCompareThread.h"
  7. #include "CreateLongFileThread.h"
  8. #include "ThreadAlarmManager.h"
  9. CompareDoubleThread::CompareDoubleThread(CalculateThreadInfo_t& compareItemInfo)
  10. : BaseCalculateThread(compareItemInfo)
  11. {
  12. m_logger = spdlog::get("ACAServer");
  13. if(m_logger == nullptr)
  14. {
  15. fmt::print("CompareDouble: ACAServer Logger not found.\n");
  16. return;
  17. }
  18. m_threadInfo = compareItemInfo;
  19. }
  20. CompareDoubleThread::~CompareDoubleThread()
  21. {
  22. }
  23. /* 获取计算结果 */
  24. OneRoadVolume_t CompareDoubleThread::getVolumeInfo()
  25. {
  26. std::lock_guard<std::mutex> lock(m_mutexVolumeInfo);
  27. return m_roadResult;
  28. }
  29. /**
  30. * @brief 获取最新的计算结果,这里目前只有一致性检测的结果,没有噪音检测的结果
  31. * 1、这里目前没有进行时间判断,直接返回最新的结果
  32. *
  33. * @param volumeInfo
  34. * @return true
  35. * @return false
  36. */
  37. bool CompareDoubleThread::getlastResult(OneRoadVolume_t& volumeInfo)
  38. {
  39. std::lock_guard<std::mutex> lock(m_mutexVolumeInfo);
  40. volumeInfo.isConsistency = m_roadResult.isConsistency;
  41. volumeInfo.isNotConsistencyWarning = m_roadResult.isNotConsistencyWarning;
  42. return true;
  43. }
  44. /* 线程功能函数 */
  45. void CompareDoubleThread::task()
  46. {
  47. /* 初始化数据 */
  48. if(!initData())
  49. {
  50. SPDLOG_LOGGER_ERROR(m_logger, "{} 初始化数据失败", m_logBase);
  51. return;
  52. }
  53. SPDLOG_LOGGER_INFO(m_logger, " ★ {} 计算一致性对比的线程开始运行 ", m_logBase);
  54. while(m_isRunning)
  55. {
  56. std::this_thread::sleep_for(std::chrono::milliseconds(10));
  57. /* 使用比对动态库比对一致性 */
  58. m_pConsistencyCompareThread->compareConsistencyData();
  59. /* 更新数据 */
  60. if(!updateData())
  61. {
  62. continue; // 数据不足,继续等待
  63. }
  64. // SPDLOG_LOGGER_INFO(m_logger, "{} 更新数据成功,开始计算音量数据", m_logBase);
  65. /* 计算音量数据 */
  66. calculateData();
  67. /* 保存结果,结果已经在上面那个函数中保存了 */
  68. /* 清除标志位 */
  69. m_isUpdated1 = false;
  70. m_isUpdated2 = false;
  71. }
  72. /* 清理数据 */
  73. clearData();
  74. SPDLOG_LOGGER_WARN(m_logger, " ★ {} 计算双通道对比的线程结束 ", m_logBase);
  75. m_threadInfo.threadState = EThreadState::State_Stopped; // 更新线程状态
  76. }
  77. /* 初始化数据 */
  78. bool CompareDoubleThread::initData()
  79. {
  80. if(m_threadInfo.compareItemInfo.mapRoad.size() < 2)
  81. {
  82. SPDLOG_LOGGER_WARN(m_logger, "{} 对比项信息错误,录音通道数量小于2", m_threadInfo.compareItemInfo.strName.toStdString());
  83. return false;
  84. }
  85. auto it = m_threadInfo.compareItemInfo.mapRoad.begin();
  86. m_itemRoadInfo1 = it.value();
  87. m_roadInfo1 = it->scRoadInfo;
  88. it++; // 移动到下一个元素
  89. m_roadInfo2 = it->scRoadInfo; // 录音通道2信息
  90. m_itemRoadInfo2 = it.value();
  91. m_logBase = fmt::format("{} 对比项: {}:{} - {}:{}", m_threadInfo.compareItemInfo.strName.toStdString(),
  92. m_roadInfo1.strSoundCardName.toStdString(), m_roadInfo1.roadInfo.nRoadNum,
  93. m_roadInfo2.strSoundCardName.toStdString(), m_roadInfo2.roadInfo.nRoadNum);
  94. m_offsetMSeconds = GInfo.offsetMSeconds(); // 获取偏移量
  95. // m_calculateSeconds = GInfo.calculateDataSeconds(); // 获取计算需要的秒数
  96. m_avgDBCalculateSeconds = GInfo.avgDBCalculateSeconds(); // 获取计算平均音量所需要的时长
  97. m_silentThreshold = GInfo.silentThreshold(); // 获取静音阈值
  98. m_sinSeconds = GInfo.sinSeconds(); // 获取正弦波计算所需要的时长
  99. m_isAINotConsistencyAlone = GInfo.isAINotConsistencyAlone(); // 获取杭州台是否按上面的逻辑来
  100. m_nIsSameBothMinDBWaitNum = GInfo.nIsSameBothMinDBWaitNum(); // 获取是否需要等待静音状态
  101. m_nCompareTimeSpan = GInfo.compareTimeSpan(); // 获取比对时间间隔
  102. /* 获取生成音量的线程,循环等待获取 */
  103. auto startTime = std::chrono::steady_clock::now(); // 记录开始时间
  104. while(true)
  105. {
  106. /* 获取创建音量包的线程 */
  107. if(m_threadCreateDB1 == nullptr)
  108. {
  109. m_threadCreateDB1 = ThreadMan.getCreateDBThread(m_roadInfo1.nSoundCardNum, m_roadInfo1.roadInfo.nRoadNum);
  110. }
  111. if(m_threadCreateDB2 == nullptr)
  112. {
  113. m_threadCreateDB2 = ThreadMan.getCreateDBThread(m_roadInfo2.nSoundCardNum, m_roadInfo2.roadInfo.nRoadNum);
  114. }
  115. /* 获取生成报警音频文件的线程 */
  116. if(m_threadCreateAlarmFile1 == nullptr)
  117. {
  118. m_threadCreateAlarmFile1 = ThreadMan.getCreateLongFileThread(m_roadInfo1.nSoundCardNum, m_roadInfo1.roadInfo.nRoadNum);
  119. }
  120. if(m_threadCreateAlarmFile2 == nullptr)
  121. {
  122. m_threadCreateAlarmFile2 = ThreadMan.getCreateLongFileThread(m_roadInfo2.nSoundCardNum, m_roadInfo2.roadInfo.nRoadNum);
  123. }
  124. if( m_threadCreateDB1 != nullptr && m_threadCreateDB2 != nullptr
  125. && m_threadCreateAlarmFile1 != nullptr && m_threadCreateAlarmFile2 != nullptr )
  126. {
  127. break; // 获取到两个线程,跳出循环
  128. }
  129. /* 超过10秒还没有获取到线程,返回失败 */
  130. if(std::chrono::steady_clock::now() - startTime > std::chrono::seconds(10))
  131. {
  132. return false;
  133. }
  134. std::this_thread::sleep_for(std::chrono::milliseconds(10));
  135. }
  136. if(m_threadCreateDB1 == nullptr || m_threadCreateDB2 == nullptr)
  137. {
  138. SPDLOG_LOGGER_ERROR(m_logger, "{} 获取生成音量的线程失败", m_logBase);
  139. return false;
  140. }
  141. if(m_threadCreateAlarmFile1 == nullptr || m_threadCreateAlarmFile2 == nullptr)
  142. {
  143. SPDLOG_LOGGER_ERROR(m_logger, "{} 获取生成报警音频文件的线程失败", m_logBase);
  144. return false;
  145. }
  146. /* 创建一致性比较的线程,这里不再单独开线程了,合并到这个线程中执行 */
  147. m_pConsistencyCompareThread = new ConsistencyCompareThread(m_threadInfo);
  148. // if(m_pConsistencyCompareThread == nullptr)
  149. // {
  150. // SPDLOG_LOGGER_ERROR(m_logger, "{} 创建一致性比较线程失败", m_logBase);
  151. // return false;
  152. // }
  153. // CPPTP.add_task(&ConsistencyCompareThread::threadTask, m_pConsistencyCompareThread);
  154. /* 初始化对比功能 */
  155. m_pConsistencyCompareThread->initConsistencyCompare();
  156. return true;
  157. }
  158. /* 清理数据 */
  159. void CompareDoubleThread::clearData()
  160. {
  161. // if(m_pConsistencyCompareThread != nullptr)
  162. // {
  163. // m_pConsistencyCompareThread->stopThreadBlock(); // 停止线程
  164. // delete m_pConsistencyCompareThread;
  165. // m_pConsistencyCompareThread = nullptr;
  166. // }
  167. if(m_pConsistencyCompareThread != nullptr)
  168. {
  169. m_pConsistencyCompareThread->clearConsistencyCompareData();
  170. delete m_pConsistencyCompareThread;
  171. m_pConsistencyCompareThread = nullptr;
  172. }
  173. }
  174. /* 更新数据 */
  175. bool CompareDoubleThread::updateData()
  176. {
  177. /* 获取原始的音量值 */
  178. if(m_isUpdated1 == false)
  179. {
  180. if(m_threadCreateDB1->getLatestResult(m_localData1.ringQueue) == false)
  181. {
  182. // SPDLOG_LOGGER_TRACE(m_logger, "{} 未获取通道1最新数据", m_logBase);
  183. return false; // 没有获取到最新数据,继续等待
  184. }
  185. m_isUpdated1 = true;
  186. }
  187. if(m_isUpdated2 == false)
  188. {
  189. if(m_threadCreateDB2->getLatestResult(m_localData2.ringQueue) == false)
  190. {
  191. // SPDLOG_LOGGER_DEBUG(m_logger, "{} 未获取通道2最新数据", m_logBase);
  192. return false; // 没有获取到最新数据,继续等待
  193. }
  194. m_isUpdated2 = true;
  195. }
  196. if(m_isUpdated1 == false || m_isUpdated2 == false)
  197. {
  198. // SPDLOG_LOGGER_TRACE(m_logger, "{} 队列数据未更新,等待数据更新", m_logBase);
  199. return false;
  200. }
  201. if(m_localData1.isEmpty() || m_localData2.isEmpty())
  202. {
  203. SPDLOG_LOGGER_TRACE(m_logger, "{} 队列数据不足,等待数据更新", m_logBase);
  204. return false;
  205. }
  206. /* 获取一致性线程计算的结果 */
  207. m_consistencyResult = m_pConsistencyCompareThread->getConsistencyResult();
  208. return true;
  209. }
  210. /**
  211. * 再次判断噪音和不一致
  212. *
  213. */
  214. void CompareDoubleThread::calculateData()
  215. {
  216. // 2、用最新数据计算音频状态:静音、过载、反相
  217. bool isAvgDBLessMin = false; /* 平均音量是否最小 */
  218. bool isSin1 = false; /* 通道1是否正弦波 */
  219. bool isSin2 = false; /* 通道2是否正弦波 */
  220. bool isSinDBEqual = false; /* 通道1和通道2的正弦波音量是否相等 */
  221. bool isOffsetSilence1 = false; /* 通道1偏移之后是否静音 */
  222. bool isOffsetSilence2 = false; /* 通道2偏移之后是否静音 */
  223. OneRoadVolume_t oneRoadVolume; /* 一个录音通道的音量信息,临时结果 */
  224. /* 保存通道2的时间 */
  225. oneRoadVolume.dateTime = m_localData2.ringQueue.back()->startTime;
  226. /* ---------------------------------------------------------------
  227. * 这一段计算音量偏移后的静音和正弦波(正弦波也是一种噪音,防止动态库检测不出来)
  228. * (正弦波结果貌似并没有用到)
  229. * ---------------------------------------------------------------*/
  230. {
  231. /* 获取偏移值 */
  232. long chn1Offset = 0;
  233. long chn2Offset = 0;
  234. calculateOffset(chn1Offset, chn2Offset);
  235. // 设置音频偏移
  236. m_localData1.setOffset(chn1Offset);
  237. m_localData2.setOffset(chn2Offset);
  238. // 计算偏移之后的静音
  239. int nSilentEndPos = 0, nSilentEndPos2 = 0;
  240. int nSilentStartPos = 0, nSilentStartPos2 = 0;
  241. isOffsetSilence1 = m_localData1.calculateSilent(m_volumeParam, m_avgDBCalculateSeconds, nSilentStartPos, nSilentEndPos);
  242. isOffsetSilence2 = m_localData2.calculateSilent(m_volumeParam, m_avgDBCalculateSeconds, nSilentStartPos2, nSilentEndPos2);
  243. isAvgDBLessMin = m_localData1.isAvgDBLessThan(m_avgDBCalculateSeconds, m_silentThreshold) && m_localData2.isAvgDBLessThan(m_avgDBCalculateSeconds, m_silentThreshold);
  244. // 音量小时不用判定正弦波
  245. if (!isAvgDBLessMin)
  246. {
  247. // 正弦波处理:正弦波就是一个固定的音量值,这时不做判定,直接比较音量值
  248. // (主次通道的音量值相同,并且是一个固定的音量值时,直接判定为一致)
  249. int nLeftDB1, nRightDB1;
  250. isSin1 = m_localData1.isSinDB(m_sinSeconds, m_avgDBCalculateSeconds, nLeftDB1, nRightDB1);
  251. int nLeftDB2, nRightDB2;
  252. isSin2 = m_localData2.isSinDB(m_sinSeconds, m_avgDBCalculateSeconds, nLeftDB2, nRightDB2);
  253. if (nLeftDB1 == nLeftDB2 && nRightDB1 == nRightDB2)
  254. {
  255. isSinDBEqual = true;
  256. }
  257. }
  258. /* 恢复音频偏移,下面也没有用到这两个环形队列的地方了,所以提到前面恢复 */
  259. m_localData1.setOffset(0);
  260. m_localData2.setOffset(0);
  261. /* 这里貌似也没用到 */
  262. // m_data1 = m_localData1;
  263. // m_data2 = m_localData2;
  264. }
  265. /* ---------------------------------------------------------------
  266. * 和动态库检测的一致性结果进行对比
  267. * ---------------------------------------------------------------*/
  268. {
  269. getLatestConsistencyStatus(oneRoadVolume);
  270. }
  271. if (isOffsetSilence1 && isOffsetSilence2)
  272. {
  273. m_bBothMinDB = ESW_BothMute_TRUE;
  274. } else
  275. {
  276. if (isAvgDBLessMin)
  277. {
  278. m_bBothMinDB = ESW_BothMinDB_TRUE;
  279. } else
  280. {
  281. if (isOffsetSilence1 || isOffsetSilence2)
  282. {
  283. m_bBothMinDB = ESW_OneMinDB_FALSE;
  284. } else
  285. {
  286. m_bBothMinDB = ESW_ALL_NOT;
  287. }
  288. }
  289. m_isSin1 = isSin1;
  290. m_isSin2 = isSin2;
  291. m_isSinDBEqual = isSinDBEqual;
  292. }
  293. /* ---------------------------------------------------------------
  294. * 保存计算信息,目前只保存了一致性结果和报警
  295. * ---------------------------------------------------------------*/
  296. {
  297. std::lock_guard<std::mutex> lock(m_mutexVolumeInfo);
  298. /* 保存一致性结果 */
  299. m_roadResult.isConsistency = oneRoadVolume.isConsistency;
  300. m_roadResult.isNotConsistencyWarning = oneRoadVolume.isNotConsistencyWarning;
  301. m_roadResult.dateTime = oneRoadVolume.dateTime;
  302. /* 保存报警信息 */
  303. saveAlarmInfo();
  304. }
  305. }
  306. /* 计算偏移值 */
  307. void CompareDoubleThread::calculateOffset(long chn1Offset, long chn2Offset)
  308. {
  309. chn1Offset = 0;
  310. chn2Offset = 0;
  311. if(m_offsetMSeconds > 0)
  312. {
  313. chn1Offset = m_offsetMSeconds;
  314. } else if(m_offsetMSeconds < 0) {
  315. chn2Offset = std::abs(m_offsetMSeconds);
  316. }
  317. }
  318. /**
  319. * @brief 获取最新的一致性状态
  320. * 1、先使用音量进行静音比对,都不是静音时,使用AI对比
  321. * 2、是否使用AI对比由外部传入的配置决定
  322. *
  323. * @param sendInfo
  324. * @return true
  325. * @return false
  326. */
  327. bool CompareDoubleThread::getLatestConsistencyStatus(OneRoadVolume_t& oneRoad)
  328. {
  329. // 非对比时间时,默认为一致
  330. if (!m_isCompareTime)
  331. {
  332. initMiniArray();
  333. // SPDLOG_LOGGER_DEBUG(m_logger, "{}: 非对比时间时,默认为一致", m_chnName);
  334. oneRoad.isConsistency = true;
  335. return true;
  336. }
  337. /* 使用Python对比的结果,这里没有这个功能 */
  338. /* 如果没有开启比较线程,默认为一致 */
  339. if (!m_isRunCompareThread)
  340. {
  341. oneRoad.isConsistency = true;
  342. SPDLOG_LOGGER_INFO(m_logger, "{}: 没有开启比较线程,默认为一致", m_chnName);
  343. return true;
  344. }
  345. /* 不做一致性检测,返回一致性 */
  346. if (!m_consistencyParam.GetConsistencySwitch())
  347. {
  348. SPDLOG_LOGGER_INFO(m_logger, "{}: 一致性检测关闭,不做一致性检测,返回一致性", m_chnName);
  349. oneRoad.isConsistency = true;
  350. return true;
  351. }
  352. /* 判断是否开启计算这两个通道音量值的线程
  353. * 如果两个线程都在不在运行,无法判断,则设置成一致,一个在运行一个不在运行,则不一致
  354. * */
  355. if(!m_isRunCalDB1Thread && !m_isRunCalDB2Thread)
  356. {
  357. oneRoad.isConsistency = true;
  358. SPDLOG_LOGGER_INFO(m_logger, "{}: 通道指针为空,默认为一致", m_chnName);
  359. return true;
  360. }
  361. // 一个为空,一个不空判定为不一致
  362. if (m_isRunCalDB1Thread != m_isRunCalDB2Thread)
  363. {
  364. oneRoad.isConsistency = false;
  365. SPDLOG_LOGGER_INFO(m_logger, "{}: 一个通道正在运行计算音量的线程,一个通道未在运行,判定为不一致", m_chnName);
  366. return false;
  367. }
  368. /* 上一次的一致性标记 */
  369. m_mutexVolumeInfo.lock();
  370. const bool lastConsistency = m_roadResult.isConsistency;
  371. m_mutexVolumeInfo.unlock();
  372. bool bConsistency = lastConsistency;
  373. if (!m_isRunCompareThread)
  374. {
  375. /* 没有开启比对线程 */
  376. bConsistency = false;
  377. if(m_recordDev1ID == m_recordDev2ID)
  378. {
  379. // 同一个通道肯定是一致的
  380. bConsistency = true;
  381. SPDLOG_LOGGER_INFO(m_logger, "同一个通道肯定是一致的");
  382. }
  383. }
  384. else if(!m_isRunCalDB1Thread && !m_isRunCalDB2Thread)
  385. {
  386. // 都没有开启,表示两者是静音
  387. bConsistency = true;
  388. SPDLOG_LOGGER_INFO(m_logger, "都没有开启,表示两者是静音");
  389. }
  390. else if(m_isRunCalDB1Thread != m_isRunCalDB2Thread)
  391. {
  392. // 一个开启了,一个没有开启,表示不一致
  393. bConsistency = false;
  394. SPDLOG_LOGGER_INFO(m_logger, "一个开启了,一个没有开启,表示不一致");
  395. }else
  396. {
  397. /* 都开启了计算音量的线程 */
  398. /* 获取上一次的低音量信息 */
  399. int bBothMinDB = m_bBothMinDB;
  400. addBothMiniDB(bBothMinDB);
  401. /*************************************************************
  402. * 金海林加入
  403. * 时间: 2023年8月30日 16:09:25
  404. * 描述: 杭州台:在其它报警时,不一致不报警且后台不进行不一致比对,在其它报警恢复后,不一致重新计时比对
  405. if (ESW_ALL_NOT != bBothMinDB)
  406. *************************************************************/
  407. /* m_isAINotConsistencyAlone 是外部的配置选项 */
  408. if (ESW_ALL_NOT != bBothMinDB && !m_isAINotConsistencyAlone)
  409. /**********金海林加入结束*************/
  410. {
  411. if (ESW_BothMinDB_TRUE == bBothMinDB)
  412. {
  413. SPDLOG_LOGGER_INFO(m_logger, "{}: 平均音量比较小时,维持当前状态不变!", m_chnName);
  414. }
  415. else if (ESW_BothMute_TRUE == bBothMinDB)
  416. {
  417. /*************************************************************
  418. * 金海林加入
  419. * 时间: 2022年4月6日 10:58:19
  420. * 描述: 静音判断可能存在时间偏移,所有要多等待一次对比
  421. *************************************************************/
  422. if (isSameBothMinDB(ESW_BothMute_TRUE))
  423. {
  424. SPDLOG_LOGGER_INFO(m_logger, "{}: 两个都是静音,判定为一致!", m_chnName);
  425. bConsistency = true;
  426. }
  427. else
  428. {
  429. SPDLOG_LOGGER_INFO(m_logger, "{}: 两个都是静音,前3次维持当前状态不变!", m_chnName);
  430. //bConsistency = FALSE;
  431. }
  432. /**********金海林加入结束*************/
  433. }
  434. else
  435. {
  436. /* 一个静音,一个非静音 */
  437. /*************************************************************
  438. * 金海林修改
  439. * 时间: 2018年11月2日 14:31:34
  440. * 描述: 一个静音一个非静音,第一次维持不一致状态不变;第二次直接判定位不一致
  441. *************************************************************/
  442. if (isSameBothMinDB(ESW_OneMinDB_FALSE))
  443. {
  444. SPDLOG_LOGGER_INFO(m_logger, "{}: 一个静音一个非静音,上次也是这样,直接判定为不一致!", m_chnName);
  445. bConsistency = false;
  446. }
  447. else
  448. {
  449. SPDLOG_LOGGER_INFO(m_logger, "{}: 一个静音一个非静音,前3次维持当前状态不变!", m_chnName);
  450. //bConsistency = false;
  451. }
  452. /**********金海林修改结束*************/
  453. }
  454. }
  455. else
  456. {
  457. /* 两个都是静音,进一步进行一致性比较 */
  458. /*************************************************************
  459. * 金海林加入
  460. * 时间: 2022年3月31日 16:04:30
  461. * 描述: 开启基础(静音正弦波判断)和AI对比
  462. *************************************************************/
  463. compareConsistencyBaseOnAI(bConsistency, lastConsistency);
  464. /**********金海林加入结束*************/
  465. std::string strMsgLog;
  466. if (bConsistency)
  467. {
  468. if (oneRoad.isNotConsistencyWarning == true)
  469. {
  470. strMsgLog = fmt::format("{}:预警【一致】:{}", m_logBase, m_chnName);
  471. }
  472. else
  473. {
  474. strMsgLog = fmt::format("{}:是一致:{}", m_logBase, m_chnName);
  475. }
  476. }
  477. else
  478. {
  479. strMsgLog = fmt::format("{}:不一致:{}", m_logBase, m_chnName);
  480. }
  481. SPDLOG_LOGGER_DEBUG(m_logger, strMsgLog);
  482. }
  483. }
  484. return true;
  485. }
  486. /* 基础静音判断和AI(这里是调用的动态库)判断进行对比 */
  487. bool CompareDoubleThread::compareConsistencyBaseOnAI(bool& bConsistency, const bool lastConsistency)
  488. {
  489. /*************************************************************
  490. * 金海林加入
  491. * 时间: 2023年8月30日 16:09:25
  492. * 描述: 杭州台:在其它报警时,不一致不报警且后台不进行不一致比对,在其它报警恢复后,不一致重新计时比对
  493. *************************************************************/
  494. if (m_isHasAlarmExecpt)
  495. {
  496. bConsistency = true;
  497. return false;
  498. }
  499. /**********金海林加入结束*************/
  500. /* 更新动态库的一致性比对结果 */
  501. std::string strAIValue, strAIValueNot;
  502. bool bAICon = m_consistencyResult.IsAIConsistency(GInfo.AICMPThresholdNum(), GInfo.AICMPThreshold(), strAIValue);
  503. bool bAINot = m_consistencyResult.IsAINotConsistency(GInfo.AICMPThresholdNum(), GInfo.AICMPThresholdNot(), strAIValueNot);
  504. if (false == bAICon || false == bAINot)
  505. {
  506. bConsistency = true;
  507. return false;
  508. }
  509. if (bAICon)
  510. {
  511. bConsistency = true;
  512. if (!lastConsistency)
  513. {
  514. SPDLOG_LOGGER_INFO(m_logger, "当前AI判定为一致,上次是不一致,确认为一致(第{}次),{}", ++m_arryAIChangeRetNum[1], strAIValue);
  515. }
  516. return true;
  517. }
  518. if (bAINot)
  519. {
  520. bConsistency = false;
  521. if (lastConsistency)
  522. {
  523. SPDLOG_LOGGER_INFO(m_logger, "当前AI判定为不一致,上次是一致,确认为不一致(第{}次),{}", ++m_arryAIChangeRetNum[3], strAIValueNot);
  524. }
  525. return true;
  526. }
  527. bConsistency = lastConsistency; // 如果都不是一致和不一致,则使用上一次的一致性结果
  528. return true;
  529. }
  530. /* 初始化低音量数组 */
  531. void CompareDoubleThread::initMiniArray()
  532. {
  533. for(auto& data : m_arrayMiniDB)
  534. {
  535. data = -1;
  536. }
  537. }
  538. /* 向低音量数组添加数字 */
  539. int CompareDoubleThread::addBothMiniDB(int db)
  540. {
  541. for(int i = 8; i >= 0; --i)
  542. {
  543. m_arrayMiniDB[i+1] = m_arrayMiniDB[i];
  544. }
  545. m_arrayMiniDB[0] = db;
  546. if (ESW_ALL_NOT == db)
  547. {
  548. }
  549. if (ESW_BothMinDB_TRUE == db)
  550. {
  551. SPDLOG_LOGGER_DEBUG(m_logger, "{}: 两个都是声音小,连续{}秒平均音量小于[{}]", m_chnName, m_avgDBCalculateSeconds, m_silentThreshold);
  552. SPDLOG_LOGGER_DEBUG(m_logger, "{}: 记录当前状态:两个都是声音小,连续{}秒平均音量小于[{}]", m_chnName, m_avgDBCalculateSeconds, m_silentThreshold);
  553. }
  554. if (ESW_BothMute_TRUE == db)
  555. {
  556. SPDLOG_LOGGER_DEBUG(m_logger, "{}: 两个静音({})", m_chnName, db);
  557. }
  558. if (ESW_OneMinDB_FALSE == db)
  559. {
  560. SPDLOG_LOGGER_DEBUG(m_logger, "{}: 一个静音一个非静音({})", m_chnName, db);
  561. }
  562. return 10;
  563. }
  564. /**
  565. * @brief 两个低音量是否相似
  566. *
  567. * @param db
  568. * @return true
  569. * @return false
  570. */
  571. bool CompareDoubleThread::isSameBothMinDB(int db)
  572. {
  573. bool bSame = true;
  574. int nThresholdNum = m_nIsSameBothMinDBWaitNum; //是否静音要等待3秒,因为音频有延时
  575. if (nThresholdNum < 0) nThresholdNum = 1;
  576. if (nThresholdNum > 10) nThresholdNum = 10;
  577. for(int i = 0; i < nThresholdNum; ++i)
  578. {
  579. if (db != m_arrayMiniDB[i])
  580. {
  581. bSame = false;
  582. break;
  583. }
  584. }
  585. return bSame;
  586. }
  587. /* 保存报警信息 */
  588. void CompareDoubleThread::saveAlarmInfo()
  589. {
  590. if(m_roadResult.isConsistency)
  591. {
  592. /* 这次是一致的,判断之前是否在一致性报警中 */
  593. if(m_alarmConsistencyMain.isAlarm || m_alarmConsistencySub.isAlarm)
  594. {
  595. /* 之前在一致性报警中,这次一致,结束不一致性报警 */
  596. m_alarmConsistencyMain.isAlarm = false;
  597. m_alarmConsistencySub.isAlarm = false;
  598. /* 结束时间向前推1秒 */
  599. m_alarmConsistencyMain.EndTime = m_localData1.ringQueue.back()->endTime.addSecs(1);
  600. m_alarmConsistencySub.EndTime = m_localData2.ringQueue.back()->endTime.addSecs(1);
  601. /* 结束录制报警音频 */
  602. m_threadCreateAlarmFile1->stopRecordAlarmFile(m_alarmConsistencyMain);
  603. m_threadCreateAlarmFile2->stopRecordAlarmFile(m_alarmConsistencySub);
  604. /* 将报警信息写入数据库 */
  605. AlarmManager.addAlarmInfo(m_alarmConsistencyMain);
  606. AlarmManager.addAlarmInfo(m_alarmConsistencySub);
  607. SPDLOG_LOGGER_INFO(m_logger, "{}: 一致性报警结束", m_logBase);
  608. /* 清除报警信息 */
  609. m_alarmConsistencyMain = AlarmInfo_t();
  610. m_alarmConsistencySub = AlarmInfo_t();
  611. }
  612. }else
  613. {
  614. /* 不一致,判断之前的一致性,判断一个就可以了 */
  615. if(!m_alarmConsistencySub.isAlarm)
  616. {
  617. /* 开是不一致报警 */
  618. m_alarmConsistencyMain.isAlarm = true;
  619. m_alarmConsistencySub.isAlarm = true;
  620. m_alarmConsistencyMain.CompareItemID = m_threadInfo.compareItemInfo.nID;
  621. m_alarmConsistencySub.CompareItemID = m_threadInfo.compareItemInfo.nID;
  622. m_alarmConsistencyMain.strCompareItemName = m_threadInfo.compareItemInfo.strName.toStdString();
  623. m_alarmConsistencySub.strCompareItemName = m_threadInfo.compareItemInfo.strName.toStdString();
  624. m_alarmConsistencyMain.RoadInfo = m_itemRoadInfo1;
  625. m_alarmConsistencySub.RoadInfo = m_itemRoadInfo2;
  626. m_alarmConsistencyMain.AlarmType = EAlarmType::EAR_Consistency;
  627. m_alarmConsistencySub.AlarmType = EAlarmType::EAR_Consistency;
  628. /* 计算开始时间 */
  629. int seconds = m_consistencyParam.GetConsistencyThresholdNotNum() * (m_nCompareTimeSpan / 1000);
  630. int pos1 = m_localData1.ringQueue.QueueSize() - seconds - 1;
  631. int pos2 = m_localData2.ringQueue.QueueSize() - seconds - 1;
  632. m_alarmConsistencyMain.StartTime = m_localData1.ringQueue[pos1]->startTime;
  633. m_alarmConsistencySub.StartTime = m_localData2.ringQueue[pos2]->startTime;
  634. SPDLOG_LOGGER_WARN(m_logger, "{}: 不一致报警开始", m_logBase);
  635. }
  636. }
  637. }