/// <summary>
/// 获取要分析的数据
/// </summary>
/// <param name="sensorResult">传感器采集结果</param>
/// <returns>数据列表</returns>
public AnalyzingData GetAnalyzingData(SensorAcqResult sensorResult)
{
var data2Analyze = new AnalyzingData {
SensorId = sensorResult.Sensor.SensorID
};
var themeColums = sensorResult.Sensor.TableColums.Split(',');
List <double?> data = new List <double?>(themeColums.Length);
if (sensorResult.Data.ThemeValues.Count() >= themeColums.Length)
{
for (int i = 0; i < themeColums.Length; i++)
{
data.Add(sensorResult.Data.ThemeValues[i]);
}
}
else
{
for (int i = 0; i < themeColums.Length; i++)
{
if (i > sensorResult.Data.ThemeValues.Count() - 1)
{
data.Add(0);
}
else
{
data.Add(sensorResult.Data.ThemeValues[i]);
}
}
}
data2Analyze.Data = data;
return(data2Analyze);
}
/// <summary>
/// 数据分析(默认满分)
/// </summary>
/// <param name="data"></param>
/// <param name="thresholds"></param>
public SensorAnalyzeResult AnalyzeSensorData(AnalyzingData data, IList <SensorThreshold> thresholds)
{
var rslt = new SensorAnalyzeResult();
rslt.SensorId = (int)data.SensorId;
rslt.Score = 100;
rslt.ThresholdAlarm = null;
if (!thresholds.Any() || data.Data == null)
{
// 未配置阈值,默认以无告警处理
return(rslt);
}
var sensor = DbAccessor.GetSensorInfo((int)data.SensorId).AsEnumerable().FirstOrDefault();
var sensorData = data.Data;
var alarm = new ThresholdAlarm((int)data.SensorId);
// 遍历各监测项
for (int i = 0; i < sensorData.Count(); i++)
{
int itemId = i + 1;
var threshold = thresholds.FirstOrDefault(t => t.ItemId == itemId);
if (threshold != null)
{
var itemName = this.GetItemName(sensor, itemId);
var totalLvl = threshold.LevelNumber;
// 查询落在哪个阈值区域
foreach (var sensorThreshold in threshold.Thresholds)
{
if (sensorData[i] >= sensorThreshold.Down && sensorData[i] <= sensorThreshold.Up)
{
rslt.Score -= (int)((1 - (double)sensorThreshold.Level / totalLvl) / sensorData.Count * 100);
var alarmDetail = new ThresholdAlarmDetail(itemName, sensorThreshold.Level);
alarm.AlarmDetails.Add(alarmDetail);
break;
}
}
}
}
if (alarm.AlarmDetails.Count > 0)
{
rslt.ThresholdAlarm = alarm;
}
return(rslt);
}
public MovingAverageConvergenceDivergence(AnalyzingData analyzingData)
{
this.analyzingData = analyzingData;
}
public void TestAnalyzeSensorData()
{
DataAnalyzer da = new DataAnalyzer();
var analyzingData = new AnalyzingData {
SensorId = 17, Data = new double?[] { 1, 2, 3 }
};
var thresholds = new List <SensorThreshold>();
var act0 = da.AnalyzeSensorData(analyzingData, thresholds);
Assert.AreEqual(100, act0.Score);
Assert.IsNull(act0.ThresholdAlarm);
thresholds.Add(
new SensorThreshold
{
SensorId = 17,
ItemId = 1,
LevelNumber = 3,
Thresholds =
new List <Threshold>
{
new Threshold {
Level = 1, Down = 1.5, Up = double.MaxValue
},
new Threshold {
Level = 2, Down = 0.8, Up = 1.5
},
new Threshold {
Level = 3, Down = 0.5, Up = 0.8
}
}
});
var act1 = da.AnalyzeSensorData(analyzingData, thresholds);
Assert.AreEqual(100 - (int)((1 - (double)2 / 3) / 3 * 100), act1.Score);
Assert.AreEqual(1, act1.ThresholdAlarm.AlarmDetails.Count);
Console.WriteLine(act1.ThresholdAlarm);
thresholds.Add(
new SensorThreshold
{
SensorId = 17,
ItemId = 2,
LevelNumber = 4,
Thresholds =
new List <Threshold>
{
new Threshold {
Level = 1, Down = 1.5, Up = double.MaxValue
},
new Threshold {
Level = 2, Down = 0.8, Up = 1
},
new Threshold {
Level = 3, Down = 0.5, Up = 0.8
},
new Threshold {
Level = 4, Down = 0.3, Up = 0.5
}
}
});
var act2 = da.AnalyzeSensorData(analyzingData, thresholds);
Assert.AreEqual(
100 - (int)((1 - (double)2 / 3) / 3 * 100) - (int)((1 - (double)1 / 4) / 3 * 100),
act2.Score);
Assert.AreEqual(2, act2.ThresholdAlarm.AlarmDetails.Count);
Console.WriteLine(act2.ThresholdAlarm);
}
public LoadAppData(AnalyzingData analyzingData) : this()
{
this.analyzingData = analyzingData;
}
public OshIndicaror(AnalyzingData analyzingData)
{
this.analyzingData = analyzingData;
}
public RsiIndicator(AnalyzingData analyzingData)
{
this.analyzingData = analyzingData;
}
