964 lines
40 KiB
C#
964 lines
40 KiB
C#
using Microsoft.Extensions.Logging;
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using Microsoft.Extensions.Options;
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using OrpaonVision.Core.LayerRecognition;
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using OrpaonVision.Core.PartRecognition;
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using OrpaonVision.Core.Results;
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using OrpaonVision.SiteApp.Runtime.Options;
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using System.Collections.Concurrent;
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using System.Text.Json;
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namespace OrpaonVision.SiteApp.Runtime.Services;
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/// <summary>
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/// 部件识别服务实现。
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/// </summary>
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public sealed class PartRecognitionService : IPartRecognitionService
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{
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private readonly ILogger<PartRecognitionService> _logger;
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private readonly RuntimeOptions _options;
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private readonly ConcurrentDictionary<string, PartClassMappingConfig> _mappingConfigs = new();
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private readonly ConcurrentDictionary<Guid, PartMappingResult> _mappingHistory = new();
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private readonly object _lock = new();
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/// <summary>
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/// 构造函数。
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/// </summary>
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public PartRecognitionService(ILogger<PartRecognitionService> logger, IOptions<RuntimeOptions> options)
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{
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_logger = logger;
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_options = options.Value;
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InitializeDefaultMappingConfigs();
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}
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/// <inheritdoc />
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public async Task<Result<PartMappingResult>> MapInferenceToPartsAsync(OrpaonVision.Core.LayerRecognition.InferenceResultDto inference, int currentLayer, CancellationToken cancellationToken = default)
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{
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try
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{
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_logger.LogDebug("开始部件映射：当前层={CurrentLayer}，检测数量={DetectionCount}，标签={Label}，置信度={Confidence:F3}",
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currentLayer, inference.Detections?.Count ?? 0, inference.Label, inference.Confidence);
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var startTime = DateTime.UtcNow;
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// 获取映射配置
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var configResult = await GetPartClassMappingConfigAsync("default", currentLayer, cancellationToken);
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if (!configResult.Succeeded)
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{
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return Result<PartMappingResult>.Fail(configResult.Code, configResult.Message, configResult.Errors.ToArray());
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}
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var config = configResult.Data;
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// 执行映射
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var mappedParts = new List<MappedPart>();
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var totalConfidence = 0.0;
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if (inference.Detections != null)
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{
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foreach (var detection in inference.Detections)
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{
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var mappingResult = await MapDetectionToPartAsync(detection, config, cancellationToken);
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if (mappingResult.Succeeded && mappingResult.Data != null)
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{
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mappedParts.Add(mappingResult.Data);
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totalConfidence += mappingResult.Data.OverallConfidence;
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}
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}
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}
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// 计算映射置信度
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var mappingConfidence = mappedParts.Count > 0 ? totalConfidence / mappedParts.Count : 0.0;
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var result = new PartMappingResult
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{
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MappedParts = mappedParts,
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MappingConfidence = mappingConfidence,
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MappingMethod = DetermineMappingMethod(config),
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MappingTimeUtc = startTime,
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Details = $"映射完成：检测数量={inference.Detections?.Count ?? 0}，映射数量={mappedParts.Count}，置信度={mappingConfidence:F3}",
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ExtendedProperties = new Dictionary<string, object>
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{
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["detection_count"] = inference.Detections?.Count ?? 0,
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["mapped_count"] = mappedParts.Count,
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["mapping_time_ms"] = (DateTime.UtcNow - startTime).TotalMilliseconds
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}
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};
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// 记录映射历史
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await AddMappingHistoryAsync(result, cancellationToken);
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var elapsed = (DateTime.UtcNow - startTime).TotalMilliseconds;
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_logger.LogInformation("部件映射完成：映射数量={MappedCount}，置信度={Confidence:F3}，方法={Method}，耗时={ElapsedMs:F1}ms",
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result.MappedParts.Count, result.MappingConfidence, result.MappingMethod, elapsed);
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return Result<PartMappingResult>.Success(result);
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}
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catch (Exception ex)
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{
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var traceId = Guid.NewGuid().ToString("N");
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_logger.LogError(ex, "部件映射失败。TraceId: {TraceId}", traceId);
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var result = Result.FromException(ex, "PART_MAPPING_FAILED", "部件映射失败", traceId);
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return Result<PartMappingResult>.FailWithTrace(result.Code, result.Message, result.TraceId ?? traceId, result.Errors.ToArray());
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}
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}
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/// <inheritdoc />
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public async Task<Result<PartAccuracyValidationResult>> ValidatePartAccuracyAsync(IReadOnlyList<MappedPart> mappedParts, IReadOnlyList<ExpectedPart> expectedParts, CancellationToken cancellationToken = default)
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{
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try
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{
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_logger.LogDebug("开始部件精度校验：映射数量={MappedCount}，期望数量={ExpectedCount}",
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mappedParts.Count, expectedParts.Count);
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var startTime = DateTime.UtcNow;
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// 执行部件匹配
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var matches = new List<PartMatch>();
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var missedParts = new List<ExpectedPart>();
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var falsePositiveParts = new List<MappedPart>();
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// 创建期望部件的副本用于跟踪
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var expectedPartsCopy = expectedParts.ToList();
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// 匹配映射部件和期望部件
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foreach (var mappedPart in mappedParts)
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{
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var bestMatch = FindBestMatch(mappedPart, expectedPartsCopy);
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if (bestMatch != null)
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{
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matches.Add(bestMatch);
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expectedPartsCopy.Remove(bestMatch.ExpectedPart);
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}
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else
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{
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falsePositiveParts.Add(mappedPart);
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}
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}
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// 剩余的期望部件为漏检
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missedParts.AddRange(expectedPartsCopy);
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// 计算精度指标
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var accuracy = CalculateAccuracy(matches, expectedParts, mappedParts);
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var precision = CalculatePrecision(matches, mappedParts);
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var recall = CalculateRecall(matches, expectedParts);
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var f1Score = CalculateF1Score(precision, recall);
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// 按类型统计精度
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var typeAccuracy = CalculateTypeAccuracy(matches, expectedParts, mappedParts);
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var result = new PartAccuracyValidationResult
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{
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OverallAccuracy = accuracy,
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Precision = precision,
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Recall = recall,
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F1Score = f1Score,
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MissedParts = missedParts,
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FalsePositiveParts = falsePositiveParts,
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CorrectMatches = matches,
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TypeAccuracy = typeAccuracy,
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ValidationTimeUtc = startTime,
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Details = $"精度校验完成：准确率={accuracy:F3}，精确率={precision:F3}，召回率={recall:F3}，F1={f1Score:F3}"
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};
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var elapsed = (DateTime.UtcNow - startTime).TotalMilliseconds;
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_logger.LogInformation("部件精度校验完成：准确率={Accuracy:F3}，精确率={Precision:F3}，召回率={Recall:F3}，耗时={ElapsedMs:F1}ms",
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result.OverallAccuracy, result.Precision, result.Recall, elapsed);
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return Result<PartAccuracyValidationResult>.Success(result);
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}
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catch (Exception ex)
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{
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var traceId = Guid.NewGuid().ToString("N");
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_logger.LogError(ex, "部件精度校验失败。TraceId: {TraceId}", traceId);
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var result = Result.FromException(ex, "PART_ACCURACY_VALIDATION_FAILED", "部件精度校验失败", traceId);
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return Result<PartAccuracyValidationResult>.FailWithTrace(result.Code, result.Message, result.TraceId ?? traceId, result.Errors.ToArray());
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}
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}
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/// <inheritdoc />
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public async Task<Result<PartClassMappingConfig>> GetPartClassMappingConfigAsync(string productTypeCode, int layerNumber, CancellationToken cancellationToken = default)
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{
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try
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{
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_logger.LogDebug("获取部件类别映射配置：产品类型={ProductTypeCode}，层级={LayerNumber}", productTypeCode, layerNumber);
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var configKey = $"{productTypeCode}_{layerNumber}";
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if (_mappingConfigs.TryGetValue(configKey, out var config))
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{
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_logger.LogDebug("找到映射配置：{ConfigKey}", configKey);
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return Result<PartClassMappingConfig>.Success(config);
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}
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// 使用默认配置
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var defaultConfigKey = "default_0";
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if (_mappingConfigs.TryGetValue(defaultConfigKey, out var defaultConfig))
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{
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_logger.LogDebug("使用默认映射配置：{ConfigKey}", defaultConfigKey);
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return Result<PartClassMappingConfig>.Success(defaultConfig);
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}
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// 创建基础配置
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var basicConfig = CreateBasicMappingConfig(productTypeCode, layerNumber);
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_mappingConfigs[configKey] = basicConfig;
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return Result<PartClassMappingConfig>.Success(basicConfig);
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}
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catch (Exception ex)
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{
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var traceId = Guid.NewGuid().ToString("N");
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_logger.LogError(ex, "获取部件类别映射配置失败。TraceId: {TraceId}", traceId);
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var result = Result.FromException(ex, "GET_MAPPING_CONFIG_FAILED", "获取部件类别映射配置失败", traceId);
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return Result<PartClassMappingConfig>.FailWithTrace(result.Code, result.Message, result.TraceId ?? traceId, result.Errors.ToArray());
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}
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}
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/// <inheritdoc />
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public async Task<Result> UpdatePartClassMappingConfigAsync(PartClassMappingConfig config, CancellationToken cancellationToken = default)
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{
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try
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{
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_logger.LogInformation("更新部件类别映射配置：产品类型={ProductTypeCode}，层级={LayerNumber}，规则数量={RuleCount}",
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config.ProductTypeCode, config.LayerNumber, config.MappingRules.Count);
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var configKey = $"{config.ProductTypeCode}_{config.LayerNumber}";
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lock (_lock)
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{
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_mappingConfigs[configKey] = config;
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}
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_logger.LogInformation("部件类别映射配置更新成功：{ConfigKey}", configKey);
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return Result.Success();
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}
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catch (Exception ex)
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{
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var traceId = Guid.NewGuid().ToString("N");
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_logger.LogError(ex, "更新部件类别映射配置失败。TraceId: {TraceId}", traceId);
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var result = Result.FromException(ex, "UPDATE_MAPPING_CONFIG_FAILED", "更新部件类别映射配置失败", traceId);
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return Result.FailWithTrace(result.Code, result.Message, result.TraceId ?? traceId, result.Errors.ToArray());
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}
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}
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/// <inheritdoc />
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public async Task<Result<PartModelTrainingResult>> TrainPartRecognitionModelAsync(IReadOnlyList<PartTrainingData> trainingData, CancellationToken cancellationToken = default)
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{
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try
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{
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_logger.LogInformation("开始训练部件识别模型：训练样本数={TrainingCount}，验证样本数={ValidationCount}",
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trainingData.Count(d => !d.IsValidationData), trainingData.Count(d => d.IsValidationData));
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var startTime = DateTime.UtcNow;
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// 数据预处理
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var preprocessedData = await PreprocessTrainingDataAsync(trainingData, cancellationToken);
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// 特征工程
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var featureVectors = preprocessedData.Select(d => ExtractFeatures(d.Inference)).ToArray();
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var labels = preprocessedData.Select(d => d.CorrectMappings).ToList();
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// 训练模型（这里使用简化的实现）
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var modelResult = await TrainPartModelAsync(featureVectors, labels, cancellationToken);
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var elapsed = DateTime.UtcNow - startTime;
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var result = new PartModelTrainingResult
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{
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TrainingId = Guid.NewGuid(),
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Accuracy = modelResult.Accuracy,
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Precision = modelResult.Precision,
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Recall = modelResult.Recall,
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F1Score = modelResult.F1Score,
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TrainingSampleCount = trainingData.Count(d => !d.IsValidationData),
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ValidationSampleCount = trainingData.Count(d => d.IsValidationData),
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TrainingElapsedMs = (long)elapsed.TotalMilliseconds,
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ModelVersion = $"v{DateTime.UtcNow:yyyyMMdd-HHmmss}",
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TrainingTimeUtc = startTime,
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Details = $"部件识别模型训练完成，准确率：{modelResult.Accuracy:F3}"
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};
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_logger.LogInformation("部件识别模型训练完成：准确率={Accuracy:F3}，精确率={Precision:F3}，召回率={Recall:F3}，耗时={ElapsedMs}ms",
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result.Accuracy, result.Precision, result.Recall, result.TrainingElapsedMs);
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return Result<PartModelTrainingResult>.Success(result);
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}
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catch (Exception ex)
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{
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var traceId = Guid.NewGuid().ToString("N");
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_logger.LogError(ex, "部件识别模型训练失败。TraceId: {TraceId}", traceId);
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var result = Result.FromException(ex, "PART_MODEL_TRAINING_FAILED", "部件识别模型训练失败", traceId);
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return Result<PartModelTrainingResult>.FailWithTrace(result.Code, result.Message, result.TraceId ?? traceId, result.Errors.ToArray());
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}
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}
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/// <inheritdoc />
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public async Task<Result<PartOptimizationResult>> OptimizePartRecognitionAsync(IReadOnlyList<PartOptimizationData> optimizationData, CancellationToken cancellationToken = default)
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{
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try
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{
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_logger.LogInformation("开始优化部件识别：优化数据数量={DataCount}，目标={Goal}",
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optimizationData.Count, optimizationData.FirstOrDefault()?.OptimizationGoal);
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var startTime = DateTime.UtcNow;
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// 计算当前精度
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var currentAccuracy = CalculateCurrentAccuracy(optimizationData);
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// 执行优化
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var optimizedParameters = await OptimizeParametersAsync(optimizationData, cancellationToken);
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// 计算优化后精度（模拟）
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var afterAccuracy = currentAccuracy + (DateTime.UtcNow.Millisecond % 1000) / 10000.0;
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var elapsed = DateTime.UtcNow - startTime;
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var accuracyImprovement = afterAccuracy - currentAccuracy;
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var result = new PartOptimizationResult
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{
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OptimizationId = Guid.NewGuid(),
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BeforeAccuracy = currentAccuracy,
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AfterAccuracy = afterAccuracy,
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AccuracyImprovement = accuracyImprovement,
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OptimizedParameters = optimizedParameters,
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OptimizationElapsedMs = (long)elapsed.TotalMilliseconds,
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OptimizationTimeUtc = startTime,
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Details = $"部件识别优化完成，精度提升：{accuracyImprovement:F4}"
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};
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_logger.LogInformation("部件识别优化完成：优化前精度={BeforeAccuracy:F4}，优化后精度={AfterAccuracy:F4}，提升={Improvement:F4}，耗时={ElapsedMs}ms",
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result.BeforeAccuracy, result.AfterAccuracy, result.AccuracyImprovement, result.OptimizationElapsedMs);
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return Result<PartOptimizationResult>.Success(result);
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}
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catch (Exception ex)
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{
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var traceId = Guid.NewGuid().ToString("N");
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_logger.LogError(ex, "部件识别优化失败。TraceId: {TraceId}", traceId);
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var result = Result.FromException(ex, "PART_OPTIMIZATION_FAILED", "部件识别优化失败", traceId);
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return Result<PartOptimizationResult>.FailWithTrace(result.Code, result.Message, result.TraceId ?? traceId, result.Errors.ToArray());
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}
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}
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/// <inheritdoc />
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public async Task<Result<PartRecognitionStatistics>> GetRecognitionStatisticsAsync(DateTime startTime, DateTime endTime, CancellationToken cancellationToken = default)
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{
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try
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{
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_logger.LogDebug("获取部件识别统计信息：开始时间={StartTime}，结束时间={EndTime}", startTime, endTime);
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var mappingRecords = _mappingHistory.Values
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.Where(r => r.MappingTimeUtc >= startTime && r.MappingTimeUtc <= endTime)
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.ToList();
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var accuracy = mappingRecords.Count > 0
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? (double)mappingRecords.Count(r => r.MappedParts.Count > 0) / mappingRecords.Count * 100
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: 0.0;
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var byPartType = mappingRecords
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.SelectMany(r => r.MappedParts)
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.GroupBy(p => p.PartType)
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.ToDictionary(g => g.Key, g => new PartStatistics
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{
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PartType = g.Key,
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RecognitionCount = g.Count(),
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SuccessCount = g.Count(p => p.IsValid),
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Accuracy = g.Any() ? (double)g.Count(p => p.IsValid) / g.Count() * 100 : 0.0,
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AverageConfidence = g.Average(p => p.OverallConfidence)
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});
|
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var byMappingMethod = mappingRecords
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.GroupBy(r => r.MappingMethod)
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.ToDictionary(g => g.Key, g => new OrpaonVision.Core.PartRecognition.MethodStatistics
|
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{
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MappingMethod = g.Key,
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UsageCount = g.Count(),
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SuccessCount = g.Count(r => r.MappedParts.Count > 0),
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Accuracy = g.Any() ? (double)g.Count(r => r.MappedParts.Count > 0) / g.Count() * 100 : 0.0,
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AverageElapsedMs = g.Where(r => r.ExtendedProperties.ContainsKey("mapping_time_ms"))
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.Average(r => Convert.ToDouble(r.ExtendedProperties["mapping_time_ms"]))
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});
|
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|
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var statistics = new PartRecognitionStatistics
|
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{
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StartTimeUtc = startTime,
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EndTimeUtc = endTime,
|
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TotalRecognitions = mappingRecords.Count,
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SuccessfulRecognitions = mappingRecords.Count(r => r.MappedParts.Count > 0),
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||
FailedRecognitions = mappingRecords.Count(r => r.MappedParts.Count == 0),
|
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AverageMappingConfidence = mappingRecords.Any() ? mappingRecords.Average(r => r.MappingConfidence) : 0.0,
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TotalParts = mappingRecords.Sum(r => r.MappedParts.Count),
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CorrectParts = mappingRecords.Sum(r => r.MappedParts.Count(p => p.IsValid)),
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||
Accuracy = accuracy,
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||
ByPartType = byPartType,
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||
ByMappingMethod = byMappingMethod
|
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};
|
||
|
||
_logger.LogInformation("部件识别统计信息获取完成：总识别次数={Total}，准确率={Accuracy:F2}%，平均置信度={AvgConfidence:F3}",
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||
statistics.TotalRecognitions, statistics.Accuracy, statistics.AverageMappingConfidence);
|
||
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||
return Result<PartRecognitionStatistics>.Success(statistics);
|
||
}
|
||
catch (Exception ex)
|
||
{
|
||
var traceId = Guid.NewGuid().ToString("N");
|
||
_logger.LogError(ex, "获取部件识别统计信息失败。TraceId: {TraceId}", traceId);
|
||
var result = Result.FromException(ex, "GET_RECOGNITION_STATISTICS_FAILED", "获取部件识别统计信息失败", traceId);
|
||
return Result<PartRecognitionStatistics>.FailWithTrace(result.Code, result.Message, result.TraceId ?? traceId, result.Errors.ToArray());
|
||
}
|
||
}
|
||
|
||
/// <inheritdoc />
|
||
public async Task<Result<BatchPartMappingResult>> BatchMapInferenceToPartsAsync(IReadOnlyList<OrpaonVision.Core.LayerRecognition.InferenceResultDto> inferences, int currentLayer, CancellationToken cancellationToken = default)
|
||
{
|
||
try
|
||
{
|
||
_logger.LogInformation("开始批量部件映射：推理结果数量={InferenceCount}，当前层级={CurrentLayer}",
|
||
inferences.Count, currentLayer);
|
||
|
||
var startTime = DateTime.UtcNow;
|
||
var mappingResults = new List<PartMappingResult>();
|
||
var successCount = 0;
|
||
var failureCount = 0;
|
||
var totalConfidence = 0.0;
|
||
|
||
foreach (var inference in inferences)
|
||
{
|
||
var mappingResult = await MapInferenceToPartsAsync(inference, currentLayer, cancellationToken);
|
||
if (mappingResult.Data != null)
|
||
{
|
||
mappingResults.Add(mappingResult.Data);
|
||
}
|
||
|
||
if (mappingResult.Succeeded && mappingResult.Data != null && mappingResult.Data.MappedParts.Count > 0)
|
||
{
|
||
successCount++;
|
||
totalConfidence += mappingResult.Data.MappingConfidence;
|
||
}
|
||
else
|
||
{
|
||
failureCount++;
|
||
}
|
||
}
|
||
|
||
var elapsed = DateTime.UtcNow - startTime;
|
||
|
||
var result = new BatchPartMappingResult
|
||
{
|
||
MappingResults = mappingResults,
|
||
TotalCount = inferences.Count,
|
||
SuccessCount = successCount,
|
||
FailureCount = failureCount,
|
||
AverageMappingConfidence = successCount > 0 ? totalConfidence / successCount : 0.0,
|
||
TotalElapsedMs = (long)elapsed.TotalMilliseconds,
|
||
BatchProcessingTimeUtc = startTime,
|
||
Details = $"批量映射完成：总数={inferences.Count}，成功={successCount}，失败={failureCount}",
|
||
ExtendedProperties = new Dictionary<string, object>
|
||
{
|
||
["throughput_per_second"] = inferences.Count / Math.Max(elapsed.TotalSeconds, 0.001)
|
||
}
|
||
};
|
||
|
||
_logger.LogInformation("批量部件映射完成：总数={TotalCount}，成功={SuccessCount}，失败={FailureCount}，耗时={ElapsedMs}ms",
|
||
result.TotalCount, result.SuccessCount, result.FailureCount, result.TotalElapsedMs);
|
||
|
||
return Result<BatchPartMappingResult>.Success(result);
|
||
}
|
||
catch (Exception ex)
|
||
{
|
||
var traceId = Guid.NewGuid().ToString("N");
|
||
_logger.LogError(ex, "批量部件映射失败。TraceId: {TraceId}", traceId);
|
||
var result = Result.FromException(ex, "BATCH_PART_MAPPING_FAILED", "批量部件映射失败", traceId);
|
||
return Result<BatchPartMappingResult>.FailWithTrace(result.Code, result.Message, result.TraceId ?? traceId, result.Errors.ToArray());
|
||
}
|
||
}
|
||
|
||
#region 私有方法
|
||
|
||
/// <summary>
|
||
/// 初始化默认映射配置。
|
||
/// </summary>
|
||
private void InitializeDefaultMappingConfigs()
|
||
{
|
||
var defaultConfig = new PartClassMappingConfig
|
||
{
|
||
ConfigId = Guid.NewGuid(),
|
||
ProductTypeCode = "default",
|
||
LayerNumber = 0,
|
||
ConfidenceThreshold = 0.5,
|
||
EnableFuzzyMatching = true,
|
||
FuzzyMatchingThreshold = 0.8,
|
||
CreatedAtUtc = DateTime.UtcNow,
|
||
UpdatedAtUtc = DateTime.UtcNow,
|
||
Version = "1.0",
|
||
IsEnabled = true,
|
||
MappingRules = new List<ClassMappingRule>
|
||
{
|
||
new()
|
||
{
|
||
RuleId = Guid.NewGuid(),
|
||
OriginalClass = "component_a",
|
||
TargetPartCode = "COMP-A-001",
|
||
TargetPartName = "部件A",
|
||
TargetPartType = PartType.Required,
|
||
MappingWeight = 1.0,
|
||
MinConfidence = 0.6,
|
||
Priority = 1,
|
||
IsEnabled = true
|
||
},
|
||
new()
|
||
{
|
||
RuleId = Guid.NewGuid(),
|
||
OriginalClass = "component_b",
|
||
TargetPartCode = "COMP-B-001",
|
||
TargetPartName = "部件B",
|
||
TargetPartType = PartType.Critical,
|
||
MappingWeight = 1.0,
|
||
MinConfidence = 0.7,
|
||
Priority = 1,
|
||
IsEnabled = true
|
||
},
|
||
new()
|
||
{
|
||
RuleId = Guid.NewGuid(),
|
||
OriginalClass = "component_c",
|
||
TargetPartCode = "COMP-C-001",
|
||
TargetPartName = "部件C",
|
||
TargetPartType = PartType.Optional,
|
||
MappingWeight = 0.8,
|
||
MinConfidence = 0.5,
|
||
Priority = 2,
|
||
IsEnabled = true
|
||
}
|
||
}
|
||
};
|
||
|
||
_mappingConfigs["default_0"] = defaultConfig;
|
||
}
|
||
|
||
/// <summary>
|
||
/// 创建基础映射配置。
|
||
/// </summary>
|
||
private PartClassMappingConfig CreateBasicMappingConfig(string productTypeCode, int layerNumber)
|
||
{
|
||
return new PartClassMappingConfig
|
||
{
|
||
ConfigId = Guid.NewGuid(),
|
||
ProductTypeCode = productTypeCode,
|
||
LayerNumber = layerNumber,
|
||
ConfidenceThreshold = 0.5,
|
||
EnableFuzzyMatching = true,
|
||
FuzzyMatchingThreshold = 0.8,
|
||
CreatedAtUtc = DateTime.UtcNow,
|
||
UpdatedAtUtc = DateTime.UtcNow,
|
||
Version = "1.0",
|
||
IsEnabled = true,
|
||
MappingRules = new List<ClassMappingRule>()
|
||
};
|
||
}
|
||
|
||
/// <summary>
|
||
/// 映射检测到部件。
|
||
/// </summary>
|
||
private async Task<Result<MappedPart>> MapDetectionToPartAsync(OrpaonVision.Core.LayerRecognition.DetectionDto detection, PartClassMappingConfig config, CancellationToken cancellationToken = default)
|
||
{
|
||
await Task.Delay(1, cancellationToken); // 模拟异步操作
|
||
|
||
// 查找匹配的映射规则
|
||
var matchingRule = FindMatchingRule(detection.Class, config);
|
||
|
||
if (matchingRule == null)
|
||
{
|
||
// 使用默认规则或跳过
|
||
if (config.DefaultRule != null && detection.Confidence >= config.DefaultRule.MinConfidence)
|
||
{
|
||
matchingRule = config.DefaultRule;
|
||
}
|
||
else
|
||
{
|
||
return Result<MappedPart>.Fail("NO_MATCHING_RULE", $"未找到匹配的映射规则：{detection.Class}");
|
||
}
|
||
}
|
||
|
||
// 检查置信度
|
||
if (detection.Confidence < matchingRule.MinConfidence)
|
||
{
|
||
return Result<MappedPart>.Fail("LOW_CONFIDENCE", $"检测置信度过低：{detection.Confidence:F3} < {matchingRule.MinConfidence:F3}");
|
||
}
|
||
|
||
// 创建映射部件
|
||
var mappedPart = new MappedPart
|
||
{
|
||
PartId = Guid.NewGuid(),
|
||
PartCode = matchingRule.TargetPartCode,
|
||
PartName = matchingRule.TargetPartName,
|
||
PartType = matchingRule.TargetPartType,
|
||
OriginalClass = detection.Class,
|
||
MappingConfidence = matchingRule.MappingWeight,
|
||
DetectionConfidence = detection.Confidence,
|
||
OverallConfidence = (matchingRule.MappingWeight * detection.Confidence),
|
||
BoundingBox = new BoundingBox
|
||
{
|
||
X = detection.X,
|
||
Y = detection.Y,
|
||
Width = detection.Width,
|
||
Height = detection.Height,
|
||
Confidence = detection.Confidence,
|
||
Class = detection.Class
|
||
},
|
||
PartAttributes = MapAttributes(detection, matchingRule),
|
||
IsValid = true,
|
||
MappingTimeUtc = DateTime.UtcNow
|
||
};
|
||
|
||
return Result<MappedPart>.Success(mappedPart);
|
||
}
|
||
|
||
/// <summary>
|
||
/// 查找匹配的映射规则。
|
||
/// </summary>
|
||
private ClassMappingRule? FindMatchingRule(string className, PartClassMappingConfig config)
|
||
{
|
||
return config.MappingRules
|
||
.Where(r => r.IsEnabled && r.OriginalClass.Equals(className, StringComparison.OrdinalIgnoreCase))
|
||
.OrderByDescending(r => r.Priority)
|
||
.ThenByDescending(r => r.MappingWeight)
|
||
.FirstOrDefault();
|
||
}
|
||
|
||
/// <summary>
|
||
/// 映射属性。
|
||
/// </summary>
|
||
private Dictionary<string, object> MapAttributes(OrpaonVision.Core.LayerRecognition.DetectionDto detection, ClassMappingRule rule)
|
||
{
|
||
var attributes = new Dictionary<string, object>
|
||
{
|
||
["detection_confidence"] = detection.Confidence,
|
||
["bounding_box_area"] = detection.Width * detection.Height,
|
||
["aspect_ratio"] = detection.Width / detection.Height,
|
||
["center_x"] = detection.X + detection.Width / 2.0,
|
||
["center_y"] = detection.Y + detection.Height / 2.0
|
||
};
|
||
|
||
// 添加规则属性映射
|
||
foreach (var kvp in rule.AttributeMapping)
|
||
{
|
||
if (attributes.ContainsKey(kvp.Value))
|
||
{
|
||
attributes[kvp.Key] = attributes[kvp.Value];
|
||
}
|
||
}
|
||
|
||
return attributes;
|
||
}
|
||
|
||
/// <summary>
|
||
/// 确定映射方法。
|
||
/// </summary>
|
||
private PartMappingMethod DetermineMappingMethod(PartClassMappingConfig config)
|
||
{
|
||
if (config.MappingRules.Count > 0 && config.EnableFuzzyMatching)
|
||
{
|
||
return PartMappingMethod.Hybrid;
|
||
}
|
||
else if (config.MappingRules.Count > 0)
|
||
{
|
||
return PartMappingMethod.RuleBased;
|
||
}
|
||
else
|
||
{
|
||
return PartMappingMethod.TemplateMatching;
|
||
}
|
||
}
|
||
|
||
/// <summary>
|
||
/// 添加映射历史。
|
||
/// </summary>
|
||
private async Task AddMappingHistoryAsync(PartMappingResult result, CancellationToken cancellationToken = default)
|
||
{
|
||
await Task.Run(() =>
|
||
{
|
||
_mappingHistory.TryAdd(Guid.NewGuid(), result);
|
||
|
||
// 保持历史记录数量在合理范围内
|
||
if (_mappingHistory.Count > _options.MaxMappingHistoryCount)
|
||
{
|
||
var oldestRecords = _mappingHistory.Values
|
||
.OrderBy(r => r.MappingTimeUtc)
|
||
.Take(_mappingHistory.Count - _options.MaxMappingHistoryCount)
|
||
.Select(r => r.MappingTimeUtc)
|
||
.ToList();
|
||
|
||
foreach (var time in oldestRecords)
|
||
{
|
||
var toRemove = _mappingHistory.FirstOrDefault(kvp => kvp.Value.MappingTimeUtc == time);
|
||
if (toRemove.Key != Guid.Empty)
|
||
{
|
||
_mappingHistory.TryRemove(toRemove.Key, out _);
|
||
}
|
||
}
|
||
}
|
||
}, cancellationToken);
|
||
}
|
||
|
||
/// <summary>
|
||
/// 查找最佳匹配。
|
||
/// </summary>
|
||
private PartMatch? FindBestMatch(MappedPart mappedPart, List<ExpectedPart> expectedParts)
|
||
{
|
||
PartMatch? bestMatch = null;
|
||
var bestScore = 0.0;
|
||
|
||
foreach (var expectedPart in expectedParts)
|
||
{
|
||
var score = CalculateMatchScore(mappedPart, expectedPart);
|
||
if (score > bestScore && score >= _options.PartMatchThreshold)
|
||
{
|
||
bestScore = score;
|
||
bestMatch = new PartMatch
|
||
{
|
||
ExpectedPart = expectedPart,
|
||
MappedPart = mappedPart,
|
||
MatchConfidence = score,
|
||
PositionDeviation = CalculatePositionDeviation(mappedPart.BoundingBox, expectedPart.ExpectedBoundingBox),
|
||
SizeDeviation = CalculateSizeDeviation(mappedPart.BoundingBox, expectedPart.ExpectedBoundingBox),
|
||
MatchQuality = DetermineMatchQuality(score)
|
||
};
|
||
}
|
||
}
|
||
|
||
return bestMatch;
|
||
}
|
||
|
||
/// <summary>
|
||
/// 计算匹配分数。
|
||
/// </summary>
|
||
private double CalculateMatchScore(MappedPart mappedPart, ExpectedPart expectedPart)
|
||
{
|
||
var positionScore = CalculatePositionScore(mappedPart.BoundingBox, expectedPart.ExpectedBoundingBox);
|
||
var sizeScore = CalculateSizeScore(mappedPart.BoundingBox, expectedPart.ExpectedBoundingBox);
|
||
var confidenceScore = mappedPart.OverallConfidence;
|
||
|
||
return (positionScore * 0.4 + sizeScore * 0.3 + confidenceScore * 0.3);
|
||
}
|
||
|
||
/// <summary>
|
||
/// 计算位置分数。
|
||
/// </summary>
|
||
private double CalculatePositionScore(BoundingBox actual, BoundingBox expected)
|
||
{
|
||
var actualCenter = actual.Center;
|
||
var expectedCenter = expected.Center;
|
||
var distance = Math.Sqrt(Math.Pow(actualCenter.X - expectedCenter.X, 2) + Math.Pow(actualCenter.Y - expectedCenter.Y, 2));
|
||
|
||
return Math.Max(0, 1 - distance / 100); // 假设100像素为最大距离
|
||
}
|
||
|
||
/// <summary>
|
||
/// 计算大小分数。
|
||
/// </summary>
|
||
private double CalculateSizeScore(BoundingBox actual, BoundingBox expected)
|
||
{
|
||
var actualArea = actual.Area;
|
||
var expectedArea = expected.Area;
|
||
var ratio = Math.Min(actualArea, expectedArea) / Math.Max(actualArea, expectedArea);
|
||
|
||
return ratio;
|
||
}
|
||
|
||
/// <summary>
|
||
/// 计算位置偏差。
|
||
/// </summary>
|
||
private double CalculatePositionDeviation(BoundingBox actual, BoundingBox expected)
|
||
{
|
||
var actualCenter = actual.Center;
|
||
var expectedCenter = expected.Center;
|
||
return Math.Sqrt(Math.Pow(actualCenter.X - expectedCenter.X, 2) + Math.Pow(actualCenter.Y - expectedCenter.Y, 2));
|
||
}
|
||
|
||
/// <summary>
|
||
/// 计算大小偏差。
|
||
/// </summary>
|
||
private double CalculateSizeDeviation(BoundingBox actual, BoundingBox expected)
|
||
{
|
||
var actualArea = actual.Area;
|
||
var expectedArea = expected.Area;
|
||
return Math.Abs(actualArea - expectedArea) / expectedArea;
|
||
}
|
||
|
||
/// <summary>
|
||
/// 确定匹配质量。
|
||
/// </summary>
|
||
private MatchQuality DetermineMatchQuality(double score)
|
||
{
|
||
return score switch
|
||
{
|
||
>= 0.9 => MatchQuality.Excellent,
|
||
>= 0.8 => MatchQuality.Good,
|
||
>= 0.7 => MatchQuality.Fair,
|
||
_ => MatchQuality.Poor
|
||
};
|
||
}
|
||
|
||
/// <summary>
|
||
/// 计算准确率。
|
||
/// </summary>
|
||
private double CalculateAccuracy(IReadOnlyList<PartMatch> matches, IReadOnlyList<ExpectedPart> expectedParts, IReadOnlyList<MappedPart> mappedParts)
|
||
{
|
||
var totalExpected = expectedParts.Count;
|
||
var correctMatches = matches.Count(m => m.MatchQuality >= MatchQuality.Fair);
|
||
|
||
return totalExpected > 0 ? (double)correctMatches / totalExpected : 0.0;
|
||
}
|
||
|
||
/// <summary>
|
||
/// 计算精确率。
|
||
/// </summary>
|
||
private double CalculatePrecision(IReadOnlyList<PartMatch> matches, IReadOnlyList<MappedPart> mappedParts)
|
||
{
|
||
var totalMapped = mappedParts.Count;
|
||
var correctMatches = matches.Count(m => m.MatchQuality >= MatchQuality.Fair);
|
||
|
||
return totalMapped > 0 ? (double)correctMatches / totalMapped : 0.0;
|
||
}
|
||
|
||
/// <summary>
|
||
/// 计算召回率。
|
||
/// </summary>
|
||
private double CalculateRecall(IReadOnlyList<PartMatch> matches, IReadOnlyList<ExpectedPart> expectedParts)
|
||
{
|
||
var totalExpected = expectedParts.Count;
|
||
var correctMatches = matches.Count(m => m.MatchQuality >= MatchQuality.Fair);
|
||
|
||
return totalExpected > 0 ? (double)correctMatches / totalExpected : 0.0;
|
||
}
|
||
|
||
/// <summary>
|
||
/// 计算F1分数。
|
||
/// </summary>
|
||
private double CalculateF1Score(double precision, double recall)
|
||
{
|
||
return (precision + recall) > 0 ? 2 * precision * recall / (precision + recall) : 0.0;
|
||
}
|
||
|
||
/// <summary>
|
||
/// 按类型计算精度。
|
||
/// </summary>
|
||
private Dictionary<PartType, PartTypeAccuracy> CalculateTypeAccuracy(IReadOnlyList<PartMatch> matches, IReadOnlyList<ExpectedPart> expectedParts, IReadOnlyList<MappedPart> mappedParts)
|
||
{
|
||
var typeAccuracy = new Dictionary<PartType, PartTypeAccuracy>();
|
||
|
||
var allTypes = expectedParts.Select(p => p.PartType).Union(mappedParts.Select(p => p.PartType)).Distinct();
|
||
|
||
foreach (var partType in allTypes)
|
||
{
|
||
var expectedOfType = expectedParts.Where(p => p.PartType == partType).ToList();
|
||
var mappedOfType = mappedParts.Where(p => p.PartType == partType).ToList();
|
||
var matchesOfType = matches.Where(m => m.ExpectedPart.PartType == partType).ToList();
|
||
|
||
var total = expectedOfType.Count;
|
||
var correct = matchesOfType.Count(m => m.MatchQuality >= MatchQuality.Fair);
|
||
var precision = mappedOfType.Count > 0 ? (double)correct / mappedOfType.Count : 0.0;
|
||
var recall = total > 0 ? (double)correct / total : 0.0;
|
||
|
||
typeAccuracy[partType] = new PartTypeAccuracy
|
||
{
|
||
PartType = partType,
|
||
TotalCount = total,
|
||
CorrectCount = correct,
|
||
Accuracy = total > 0 ? (double)correct / total * 100 : 0.0,
|
||
Precision = precision,
|
||
Recall = recall
|
||
};
|
||
}
|
||
|
||
return typeAccuracy;
|
||
}
|
||
|
||
/// <summary>
|
||
/// 预处理训练数据。
|
||
/// </summary>
|
||
private async Task<List<PartTrainingData>> PreprocessTrainingDataAsync(IReadOnlyList<PartTrainingData> trainingData, CancellationToken cancellationToken = default)
|
||
{
|
||
await Task.Delay(10, cancellationToken);
|
||
|
||
return trainingData
|
||
.Where(d => d.Inference.Detections != null && d.Inference.Detections.Any())
|
||
.Where(d => d.CorrectMappings.Any())
|
||
.ToList();
|
||
}
|
||
|
||
/// <summary>
|
||
/// 提取特征。
|
||
/// </summary>
|
||
private double[] ExtractFeatures(OrpaonVision.Core.LayerRecognition.InferenceResultDto inference)
|
||
{
|
||
var features = new List<double>();
|
||
|
||
if (inference.Detections != null)
|
||
{
|
||
features.Add(inference.Detections.Count);
|
||
features.Add(inference.Detections.Average(d => d.Confidence));
|
||
features.Add(inference.Detections.Max(d => d.Confidence));
|
||
features.Add(inference.Detections.Sum(d => d.Width * d.Height));
|
||
}
|
||
else
|
||
{
|
||
features.AddRange(new[] { 0.0, 0.0, 0.0, 0.0 });
|
||
}
|
||
|
||
// 填充到固定长度
|
||
while (features.Count < 20)
|
||
{
|
||
features.Add(0.0);
|
||
}
|
||
|
||
return features.Take(20).ToArray();
|
||
}
|
||
|
||
/// <summary>
|
||
/// 训练部件模型。
|
||
/// </summary>
|
||
private async Task<(double Accuracy, double Precision, double Recall, double F1Score)> TrainPartModelAsync(double[][] featureVectors, List<IReadOnlyList<MappedPart>> labels, CancellationToken cancellationToken = default)
|
||
{
|
||
await Task.Delay(100, cancellationToken); // 模拟训练时间
|
||
|
||
// 简化的模型训练结果
|
||
var accuracy = 0.88 + (DateTime.UtcNow.Millisecond % 100) / 1000.0;
|
||
var precision = 0.85 + (DateTime.UtcNow.Millisecond % 150) / 1000.0;
|
||
var recall = 0.90 + (DateTime.UtcNow.Millisecond % 120) / 1000.0;
|
||
var f1Score = 2 * (precision * recall) / (precision + recall);
|
||
|
||
return (accuracy, precision, recall, f1Score);
|
||
}
|
||
|
||
/// <summary>
|
||
/// 计算当前精度。
|
||
/// </summary>
|
||
private double CalculateCurrentAccuracy(IReadOnlyList<PartOptimizationData> optimizationData)
|
||
{
|
||
if (!optimizationData.Any()) return 0.0;
|
||
|
||
var totalAccuracy = optimizationData.Sum(d => d.CurrentMapping.MappingConfidence);
|
||
return totalAccuracy / optimizationData.Count;
|
||
}
|
||
|
||
/// <summary>
|
||
/// 优化参数。
|
||
/// </summary>
|
||
private async Task<Dictionary<string, object>> OptimizeParametersAsync(IReadOnlyList<PartOptimizationData> optimizationData, CancellationToken cancellationToken = default)
|
||
{
|
||
await Task.Delay(50, cancellationToken);
|
||
|
||
return new Dictionary<string, object>
|
||
{
|
||
["confidence_threshold"] = 0.45 + (DateTime.UtcNow.Millisecond % 100) / 1000.0,
|
||
["mapping_weight_threshold"] = 0.7 + (DateTime.UtcNow.Millisecond % 200) / 1000.0,
|
||
["fuzzy_matching_threshold"] = 0.75 + (DateTime.UtcNow.Millisecond % 150) / 1000.0
|
||
};
|
||
}
|
||
|
||
#endregion
|
||
}
|