如何高效融合企业数据采集系统,推动企业飞速发展?

// 数据采集服务示例
public class DataCollectionService
{
    private readonly IDataProcessor _dataProcessor;
    
    public DataCollectionService(IDataProcessor dataProcessor)
    {
        _dataProcessor = dataProcessor;
    }
    
    // 异步数据采集方法
    public async Task CollectDataAsync(DataSource source)
    {
        try
        {
            var rawData = await source.ExtractDataAsync();
            var processedData = await _dataProcessor.ProcessAsync(rawData);
            return new CollectionResult { Success = true, Data = processedData };
        }
        catch (Exception ex)
        {
            // 记录采集异常
            Logger.LogError(ex, "数据采集过程中发生错误");
            return new CollectionResult { Success = false, Error = ex.Message };
        }
    }
}

// 前端数据采集监控示例
class DataCollectionMonitor {
    constructor() {
        this.metrics = new Map();
        this.performanceThreshold = 1000; // 性能阈值(ms)
    }
    
    // 监控数据采集性能
    monitorPerformance(collectionId, startTime) {
        const duration = Date.now() - startTime;
        this.metrics.set(collectionId, {
            duration,
            timestamp: new Date(),
            status: duration <= this.performanceThreshold ? 'normal' : 'slow'
        });
        
        if (duration > this.performanceThreshold) {
            this.triggerAlert(collectionId, duration);
        }
    }
    
    // 触发性能告警
    triggerAlert(collectionId, duration) {
        console.warn(`数据采集 ${collectionId} 性能下降: ${duration}ms`);
        // 发送告警通知
        this.sendAlert({ collectionId, duration, threshold: this.performanceThreshold });
    }
}