CheckController.cs 12 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277
  1. 
  2. using CheckServer.AddIns;
  3. using System;
  4. using System.Collections.Generic;
  5. using System.Configuration;
  6. using System.IO;
  7. using System.Linq;
  8. using System.Threading.Tasks;
  9. using System.Web.Http;
  10. using XdCxRhDW.Dto;
  11. using XdCxRhDW.Framework;
  12. using XdCxRhDW.UI.Lib;
  13. using XdCxRhDW.WebApi;
  14. namespace CheckServer.Controllers
  15. {
  16. /// <summary>
  17. /// 信号检测、识别、变采样接口
  18. /// </summary>
  19. public class CheckController : BaseController
  20. {
  21. /// <summary>
  22. /// 信号检测(支持DAMA、IBS、能量检测)(需要先上传文件、会根据信号带宽自动对文件进行滤波)
  23. /// </summary>
  24. /// <param name="dto">信号检测参数</param>
  25. /// <returns></returns>
  26. [HttpPost]
  27. public async Task<AjaxResult<List<DetectResDto>>> Calc(DetectDto dto)
  28. {
  29. try
  30. {
  31. GC.Collect();
  32. dto.file1 = GetLocalFile(dto.file1);
  33. var bandHz = dto.band * 1e3;
  34. string outFile = Path.Combine(AppDomain.CurrentDomain.BaseDirectory, "wwwroot", $"{Path.GetFileNameWithoutExtension(dto.file1)}_filter.dat");
  35. dto.file1 = await SigFilterHelper.SigFilter(new SigFilterDto()
  36. {
  37. BandHz = bandHz,
  38. File = dto.file1,
  39. FsHz = dto.fsHz,
  40. }, outFile);
  41. if (!File.Exists(dto.file1))
  42. {
  43. return Error<List<DetectResDto>>("滤波后的文件未能生成");
  44. }
  45. List<DetectResDto> list = new List<DetectResDto>();
  46. List<DmcResult> listRes = new List<DmcResult>();
  47. List<DmcResult> dmcResults = new List<DmcResult>();
  48. List<DmcResult> ibsResults = new List<DmcResult>();
  49. List<DmcResult> kyResults = new List<DmcResult>();
  50. if (dto.dmcType.HasFlag(EnumSigCheckTypeDto.DAMA))
  51. {
  52. //var damaVersion = AppConfigHelper.Get("DamaVersion");
  53. //if (string.IsNullOrWhiteSpace(damaVersion) || damaVersion.Trim() == "1")
  54. //{
  55. // var dmcResult = await CheckHelper.DmcCheckAsync(dto.file1, dto.fsHz, EnumSigCheckTypeDto.DAMA, dto.band);
  56. // dmcResults.AddRange(dmcResult);
  57. //}
  58. //else if (damaVersion.Trim() == "2")
  59. //{
  60. // var dmcResult = await CheckHelper.DAMACheckAsync(dto.file1, dto.fsHz, EnumSigCheckTypeDto.DAMA, dto.band);
  61. // dmcResults.AddRange(dmcResult);
  62. //}
  63. //else
  64. //{
  65. var dmcResult = await CheckHelper.DmcCheckAsync(dto.file1, dto.fsHz, EnumSigCheckTypeDto.DAMA, dto.band);
  66. dmcResults.AddRange(dmcResult);
  67. if (dmcResult == null || !dmcResult.Any())
  68. {
  69. var dmcResult2 = await CheckHelper.DAMACheckAsync(dto.file1, dto.fsHz, EnumSigCheckTypeDto.DAMA, dto.band);
  70. dmcResults.AddRange(dmcResult2);
  71. }
  72. //}
  73. }
  74. if (dto.dmcType.HasFlag(EnumSigCheckTypeDto.IBS))
  75. {
  76. var dmcResult = await CheckHelper.DmcCheckAsync(dto.file1, dto.fsHz, EnumSigCheckTypeDto.IBS, dto.band);
  77. ibsResults.AddRange(dmcResult);
  78. }
  79. if (dto.dmcType.HasFlag(EnumSigCheckTypeDto.Ky5758))
  80. {
  81. var dmcResult = await CheckHelper.DmcCheckAsync(dto.file1, dto.fsHz, EnumSigCheckTypeDto.Ky5758, dto.band);
  82. kyResults.AddRange(dmcResult);
  83. }
  84. if (dto.mergeRes)
  85. {
  86. listRes.AddRange(dmcResults);
  87. var ibsCopy = ibsResults.Skip(0).ToList();
  88. foreach (var item in ibsResults)
  89. {
  90. if (listRes.Any(p => CalcIntersecLen(p, item) > 500))
  91. ibsCopy.Remove(item);//IBS结果在DAMA中重叠超过500长度,忽略
  92. }
  93. listRes.AddRange(ibsCopy);
  94. var kyCopy = kyResults.Skip(0).ToList();
  95. foreach (var item in kyResults)
  96. {
  97. if (listRes.Any(p => CalcIntersecLen(p, item) > 500))
  98. kyCopy.Remove(item);//KY结果在DAMA或IBS中重叠超过500长度,忽略
  99. }
  100. listRes.AddRange(kyCopy);
  101. foreach (var dmcItem in listRes)
  102. {
  103. DetectResDto detectRes = new DetectResDto(dmcItem.Start, dmcItem.Length, dmcItem.UserName);
  104. detectRes.ModType = dmcItem.ModType;
  105. detectRes.DmcType = dmcItem.DmcType;
  106. detectRes.File1 = dto.file1;
  107. detectRes.TimeMs = dmcItem.Times;
  108. list.Add(detectRes);
  109. }
  110. }
  111. else
  112. {
  113. listRes.AddRange(dmcResults);
  114. listRes.AddRange(ibsResults);
  115. listRes.AddRange(kyResults);
  116. foreach (var dmcItem in listRes)
  117. {
  118. DetectResDto detectRes = new DetectResDto(dmcItem.Start, dmcItem.Length, dmcItem.UserName);
  119. detectRes.ModType = dmcItem.ModType;
  120. detectRes.DmcType = dmcItem.DmcType;
  121. detectRes.File1 = dto.file1;
  122. detectRes.TimeMs = dmcItem.Times;
  123. list.Add(detectRes);
  124. }
  125. }
  126. await LogUI.Info($"文件{Path.GetFileName(dto.file1)}检测完成");
  127. return Success(list);
  128. }
  129. catch (Exception ex)
  130. {
  131. await LogUI.Error($"文件【{Path.GetFileName(dto.file1)}】{dto.dmcType}检测异常", ex);
  132. return Error<List<DetectResDto>>($"{dto.dmcType}检测异常");
  133. }
  134. }
  135. /// <summary>
  136. /// 文件变采样(需要先上传文件)
  137. /// </summary>
  138. /// <param name="dto"></param>
  139. /// <returns></returns>
  140. public async Task<AjaxResult<ResampleResponseDto>> Resample(ResampleRequestDto dto)
  141. {
  142. var res = await Task.Run(async () =>
  143. {
  144. try
  145. {
  146. string fileIn = Path.Combine(AppDomain.CurrentDomain.BaseDirectory, "wwwroot", dto.File);
  147. string fileOut = Path.Combine(AppDomain.CurrentDomain.BaseDirectory, "wwwroot", Guid.NewGuid() + ".dat");
  148. var val = Gcd(dto.FsHz, dto.OutFsHz);//最大公约数
  149. var insertFactor = dto.OutFsHz / val;
  150. var extFactor = dto.FsHz / val;
  151. var outFile = ReSampleHelper.Resample(fileIn, fileOut, insertFactor, extFactor);
  152. if (!string.IsNullOrWhiteSpace(outFile))
  153. {
  154. if (!File.Exists(outFile))
  155. return Error<ResampleResponseDto>("变采样后的文件未能生成");
  156. else
  157. return Success(new ResampleResponseDto() { File = Path.GetFileName(outFile), OutFsHz = dto.OutFsHz });
  158. }
  159. else
  160. {
  161. return Error<ResampleResponseDto>("变采样算法返回失败");
  162. }
  163. }
  164. catch (Exception ex)
  165. {
  166. await LogUI.Error($"变采样算法执行异常", ex);
  167. return Error<ResampleResponseDto>("变采样算法执行异常");
  168. }
  169. });
  170. return res;
  171. }
  172. /// <summary>
  173. /// 信号识别(调制类型、调制速率、频偏)
  174. /// </summary>
  175. /// <param name="dto">信号检测参数</param>
  176. /// <returns></returns>
  177. [HttpPost]
  178. public async Task<AjaxResult<List<SignalProcResDto>>> SignalProc(SignalProcDto dto)
  179. {
  180. await LogUI.Info($"正在识别文件{dto.File}");
  181. return await Task.Run(async () =>
  182. {
  183. try
  184. {
  185. dto.File = GetLocalFile(dto.File);
  186. List<SignalProcResDto> list = new List<SignalProcResDto>();
  187. var res = SignalProcHelper.SigalEst(dto.File, dto.Fs
  188. , dto.Smps.Select(p => (int)p.smpStart).ToArray()
  189. , dto.Smps.Select(p => (int)p.smpCount).ToArray());
  190. foreach (var item in res)
  191. {
  192. SignalProcResDto resItem = new SignalProcResDto()
  193. {
  194. Snr = item.Snr,
  195. Ffc = item.Ffc,
  196. Rate = item.Rate,
  197. ModType = (EnumSignalTypeDto)(int)item.SignalType
  198. };
  199. list.Add(resItem);
  200. }
  201. await LogUI.Info($"文件{Path.GetFileName(dto.File)}识别完成");
  202. return Success(list);
  203. }
  204. catch (Exception ex)
  205. {
  206. await LogUI.Error($"文件{Path.GetFileName(dto.File)}识别异常", ex);
  207. return Error<List<SignalProcResDto>>($"信号识别算法执行异常");
  208. }
  209. });
  210. }
  211. /// <summary>
  212. /// 对信号文件进行滤波处理(需要先上传文件)
  213. /// </summary>
  214. /// <param name="dto">信号滤波参数</param>
  215. /// <returns></returns>
  216. [HttpPost]
  217. public async Task<AjaxResult<SigFilterResponseDto>> SigFilterProc(SigFilterDto dto)
  218. {
  219. try
  220. {
  221. await LogUI.Info($"正在滤波处理文件{dto.File}");
  222. dto.File = GetLocalFile(dto.File);
  223. string outFile = Path.Combine(AppDomain.CurrentDomain.BaseDirectory, "wwwroot", Guid.NewGuid() + "filter.dat");
  224. outFile = await SigFilterHelper.SigFilter(dto, outFile);
  225. if (!File.Exists(outFile))
  226. {
  227. return Error<SigFilterResponseDto>("滤波后的文件未能生成");
  228. }
  229. else
  230. {
  231. await LogUI.Info($"文件{Path.GetFileName(dto.File)}滤波完成");
  232. return Success(new SigFilterResponseDto() { File = Path.GetFileName(outFile) });
  233. }
  234. }
  235. catch (Exception ex)
  236. {
  237. await LogUI.Error($"文件{Path.GetFileName(dto.File)}滤波异常", ex);
  238. return Error<SigFilterResponseDto>($"信号滤波算法执行异常");
  239. }
  240. }
  241. //求最大公约数
  242. private int Gcd(int M, int N)
  243. {
  244. int Rem;
  245. while (N > 0)
  246. {
  247. Rem = M % N;
  248. M = N;
  249. N = Rem;
  250. }
  251. return M;
  252. }
  253. //计算两个时隙交集的长度,无交集返回0
  254. private int CalcIntersecLen(DmcResult dto1, DmcResult dto2)
  255. {
  256. if (dto2.Start >= dto1.Start + dto1.Length) return 0;
  257. if (dto1.Start >= dto2.Start + dto2.Length) return 0;
  258. int maxStart = Math.Max(dto1.Start, dto2.Start);
  259. int minEnd = Math.Min(dto1.Start + dto1.Length, dto2.Start + dto2.Length);
  260. return minEnd - maxStart + 1;
  261. }
  262. }
  263. }