Exemplo n.º 1
0
        //public string ExtractMeasurement()
        //{
        //    #region Calcdata
        //    var measureNumber = DataLength;
        //    measureNumber /= 3 * this.numberOfActivSensors;
        //    calculatedPayDataLen = (measureNumber * dynamic * this.numberOfActivSensors);
        //    if (calculatedPayDataLen != DataLength)
        //        return null;
        //    if (DYNAMIC_HEADER_LENGTH == 0)
        //    {
        //        return null;
        //    }
        //    this.measureDataPerSensor =
        //        TransformStreamMeasureDataBlock(
        //            this.Message,
        //            DYNAMIC_HEADER_LENGTH,
        //            this.numberOfActivSensors,
        //            NumberOfDaqPerChannel,
        //            dynamic);
        //    if (this.measureDataPerSensor == null)
        //        return "";
        //    #endregion
        //    var data = new StringBuilder();
        //    long baseindex = this.segmentNumber * this.NumberOfDaqPerChannel;

        //    var sensData = new List<List<double>>();

        //    for (int sensorIndex = 0; sensorIndex < this.sensIdList.Count; sensorIndex++)
        //    {
        //        var sens = new List<double>();
        //        for (int dataIndex = 0; dataIndex < NumberOfDaqPerChannel; dataIndex++)
        //        {
        //            var mes = BeanAirConverter.ConvertRawToCalculated(measureDataPerSensor[sensorIndex, dataIndex]);
        //            sens.Add(mes);
        //        }
        //        sensData.Add(sens);
        //    }


        //    for (int j = 0; j < NumberOfDaqPerChannel; j++)
        //    {
        //        long index = baseindex + j;
        //        var line = index.ToString();
        //        for (int i = 0; i < this.numberOfActivSensors; i++)
        //            line += ";" + (sensData[i])[j];
        //        data.AppendLine(line);
        //    }
        //    return data.ToString();
        //}

        public void ExtractMeasurement2(out List <List <double> > _Measures, out List <DateTime> _Dates, out List <long> _Index)
        {
            _Measures = new List <List <double> >();
            _Dates    = new List <DateTime>();
            _Index    = new List <long>();
            try
            {
                #region Calcdata
                var measureNumber = DataLength;
                measureNumber       /= 3 * this.numberOfActivSensors;
                calculatedPayDataLen = (measureNumber * dynamic * this.numberOfActivSensors);
                if (calculatedPayDataLen != DataLength)
                {
                    return;
                }
                if (DYNAMIC_HEADER_LENGTH == 0)
                {
                    return;
                }
                this.measureDataPerSensor =
                    TransformStreamMeasureDataBlock(
                        this.Message,
                        DYNAMIC_HEADER_LENGTH,
                        this.numberOfActivSensors,
                        NumberOfDaqPerChannel,
                        dynamic);
                if (this.measureDataPerSensor == null)
                {
                    return;
                }
                #endregion
                int last_NumberOfDaqPerChannel = this.NumberOfDaqPerChannel;
                if (last_NumberOfDaqPerChannel < this.NumberOfDaqPerChannel_Prev)
                {
                    last_NumberOfDaqPerChannel = this.NumberOfDaqPerChannel_Prev;
                }

                long baseindex = this.segmentNumber * last_NumberOfDaqPerChannel;
                L("baseindex : " + baseindex);


                for (int sensorIndex = 0; sensorIndex < this.sensIdList.Count; sensorIndex++)
                {
                    var sensormeasureModel = new List <double>();
                    for (int dataIndex = 0; dataIndex < NumberOfDaqPerChannel; dataIndex++)
                    {
                        var measureindex = baseindex + dataIndex;
                        var mesure       = BeanAirConverter.ConvertRawToCalculated(measureDataPerSensor[sensorIndex, dataIndex]);
                        sensormeasureModel.Add(mesure);
                        if (sensorIndex == 0)
                        {
                            _Index.Add(measureindex);
                            _Dates.Add(CalcDate(measureindex));
                        }
                    }
                    _Measures.Add(sensormeasureModel);
                }
            }
            catch (Exception)
            {
            }
            //_Measures = new List<List<double>>();
            //_Dates = new List<DateTime>();
            //dataPart.Update(this.streamInfoNewComingDate, this.sensIdList, _Measures, _Dates);
            L(string.Join("-", _Index));
        }
Exemplo n.º 2
0
        /// <summary>
        /// For streamin/SET/Shockdectection
        /// </summary>
        /// <param name="beanDev"></param>
        /// <param name="Measure_Mode"></param>
        /// <param name="dataIndex"></param>
        /// <param name="incomingMessage"></param>
        public static MathDataModel ExtractMathModeData(
            MathDataModel model, int dataIndex, byte[] incomingMessage)
        {
            model.List_Sensors = new List <Sensor>();
            var sensIdList          = new List <byte>();
            var sensorEnabledBitmap = BitConverter.ToUInt32(incomingMessage, dataIndex);

            dataIndex += 4;
            for (byte i = 0; i < 5; i++)
            {
                if ((sensorEnabledBitmap & (1 << i)) == (1 << i))
                {
                    sensIdList.Add(i);
                }
            }
            model.SensIdList = sensIdList;


            //-----Start Date of Math Results--------------------

            DateTime startDate = new BeanDate(incomingMessage, dataIndex).ToDateTime(); /* 7 bytes length */

            dataIndex += BeanDate.Length;
            //--------millisecond
            Int16 startDate_ms = BitConverter.ToInt16(incomingMessage, dataIndex);

            dataIndex      += 2;
            startDate       = startDate.AddMilliseconds(startDate_ms);
            model.DateStart = startDate;
            //-------End Date of Math Results------------------
            DateTime endDate = new BeanDate(incomingMessage, dataIndex).ToDateTime();;  /* 7 bytes length */

            dataIndex += BeanDate.Length;
            //--------millisecond
            Int16 endDate_ms = BitConverter.ToInt16(incomingMessage, dataIndex);

            dataIndex    += 2;
            endDate       = endDate.AddMilliseconds(endDate_ms);
            model.DateEnd = endDate;
            //------MeasureNumberPerSegment------------------
            Int16 measureNumberPerSegment = BitConverter.ToInt16(incomingMessage, dataIndex);

            dataIndex += 2;

            double periodMsPerOne = (double)((double)1000.0 / model.SamplingFrequency);

            for (byte id = 0; id < sensIdList.Count; id++)
            {
                #region fileds
                int      minValue_SegmentNumber          = 0;
                int      minValue_Index_InsideTheSegment = 0;
                uint     minValueChannel                 = 0;
                int      maxValue_SegmentNumber          = 0;
                int      maxValue_Index_InsideTheSegment = 0;
                uint     maxValueChannel                 = 0;
                uint     Average               = 0;
                DateTime minValueDate          = DateTime.MinValue;
                int      minValueDate_microsec = 0;
                DateTime maxValueDate          = DateTime.MinValue;
                int      maxValueDate_microsec = 0;

                #endregion

                #region MIN-VALUE
                //------Index corresponding to the Minimum value Channel i-------------------
                minValue_SegmentNumber = BitConverter.ToInt32(incomingMessage, dataIndex);
                dataIndex += 4;
                minValue_Index_InsideTheSegment = BitConverter.ToInt16(incomingMessage, dataIndex);
                dataIndex += 2;
                int    minValuebaseindex = minValue_SegmentNumber * measureNumberPerSegment;
                double Min_measureIndex  = minValuebaseindex + minValue_Index_InsideTheSegment;
                //---------------Mlin date  value-----------------
                double periodMs_min = periodMsPerOne * Min_measureIndex;
                var    flotting_millisec_value_min = periodMs_min - (int)periodMs_min; //0.5 millisecond
                minValueDate_microsec = (int)(flotting_millisec_value_min * 1000);     //500 microsec
                minValueDate          = startDate.AddMilliseconds((int)periodMs_min);  // to get only millisec and not microsec

                //---------Minimum Value on Channel i ----------------
                byte[] arr_min = new byte[4];
                Array.Copy(incomingMessage, dataIndex, arr_min, 0, 3);
                minValueChannel = BitConverter.ToUInt32(arr_min, 0);

                dataIndex += 3;
                #endregion

                #region MAX-VALUE

                //------Index corresponding to the Maximum value Channel i-------------------

                maxValue_SegmentNumber = BitConverter.ToInt32(incomingMessage, dataIndex);
                dataIndex += 4;
                maxValue_Index_InsideTheSegment = BitConverter.ToInt16(incomingMessage, dataIndex);
                dataIndex += 2;

                int    maxValuebaseindex = maxValue_SegmentNumber * measureNumberPerSegment;
                double Max_measureIndex  = maxValuebaseindex + maxValue_Index_InsideTheSegment;
                //---------------Max date  value-----------------
                double periodMs_max = periodMsPerOne * Max_measureIndex;
                var    flotting_millisec_value_max = periodMs_max - (int)periodMs_max; //0.5 millisecond
                maxValueDate_microsec = (int)(flotting_millisec_value_max * 1000);     //500 microsec
                maxValueDate          = startDate.AddMilliseconds((int)periodMs_max);  // to get only millisec and not microsec
                //---------maximum Value on Channel i ----------------
                byte[] arr_max = new byte[4];
                Array.Copy(incomingMessage, dataIndex, arr_max, 0, 3);
                maxValueChannel = BitConverter.ToUInt32(arr_max, 0);
                dataIndex      += 3;
                #endregion

                #region AVG-VALUE
                //------Aerage Channel  i -------------------
                byte[] arr_avg = new byte[4];
                Array.Copy(incomingMessage, dataIndex, arr_avg, 0, 3);
                Average    = BitConverter.ToUInt32(arr_avg, 0);
                dataIndex += 3;
                #endregion

                #region  Update Sensor Data
                var sensor = new Sensor();
                sensor.SensorId = id;
                sensor.MathModeResult_MinValue              = BeanAirConverter.ConvertRawToCalculated(minValueChannel);
                sensor.MathModeResult_MaxValue              = BeanAirConverter.ConvertRawToCalculated(maxValueChannel);
                sensor.MathModeResult_Average               = BeanAirConverter.ConvertRawToCalculated(Average);
                sensor.MathModeResult_MinValueDate          = minValueDate;
                sensor.MathModeResult_MaxValueDate          = maxValueDate;
                sensor.MathModeResult_MinValueDate_microsec = minValueDate_microsec;
                sensor.MathModeResult_MaxValueDate_microsec = maxValueDate_microsec;
                model.List_Sensors.Add(sensor);
                #endregion
            }
            SetMathModeResult(model);
            return(model);
        }