Esempio n. 1
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        /// <summary>
        /// 转换
        /// </summary>
        /// <param name="str"></param>
        /// <param name="type"></param>
        /// <returns></returns>
        public static Object Convert(string str, ValueType type)
        {
            if (String.IsNullOrWhiteSpace(str)   || String.Equals("NULL", str.Trim(), StringComparison.CurrentCultureIgnoreCase))
            {
                return(null);
            }
            switch (type)
            {
            case ValueType.Float:
                return(Geo.Utils.DoubleUtil.TryParse(str, null));

            //case ValueType.Int:
            //    return int.Parse(str);
            case ValueType.Long:
                return(long.Parse(str));

            case ValueType.Time:
                return(new Time(DateTime.Parse(str)));

            case ValueType.Bool:
                return(Boolean.Parse(str));

            case ValueType.RmsedNumeral:
                return(RmsedNumeral.Parse(str));

            default:
                return(str);
            }
        }
Esempio n. 2
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        /// <summary>
        /// 修复效果不理想。2017.10.10
        /// 多项式拟合检核新数据,通过则直接添加,返回修正后的该值
        /// 如果未满,则直接添加,不检核。
        /// 如果数据达到最大断裂数,则清空之前数据重新对齐添加。
        /// 采用Tag存储对齐数据。
        /// </summary>
        /// <param name="key">关键字</param>
        /// <param name="newVal"></param>
        /// <param name="order"></param>
        /// <param name="maxRmsTimes"></param>
        /// <param name="referVal">参考值</param>
        /// <returns>添加则返回true,否则false</returns>
        public double FitCheckAddAndAlign(TKey key, double newVal, double referVal = 0, int order = 2, double maxRmsTimes = 10)
        {
            //对齐功能,第一次
            if (this.Tag == null || this.Count == 0)
            {
                this.Tag = (referVal - newVal);
            }
            var correctedNewVal = newVal + (double)(Tag);

            if (!this.IsFull)
            {
                this.Add(key, correctedNewVal); return(correctedNewVal);
            }
            //干净拟合数据
            var          neatWin    = GetNeatlyWindowData(order, 3, true);
            RmsedNumeral nextFitVal = neatWin.GetPolyFitValue(key, order);

            var differ = Math.Abs(nextFitVal.Value - correctedNewVal);

            if (differ > nextFitVal.Rms * maxRmsTimes)
            {
                //采用拟合值修复采用参考值修复
                Tag = (nextFitVal.Value - newVal);

                correctedNewVal = newVal + (double)(Tag);
                this.Clear();
            }

            Add(key, correctedNewVal);
            return(correctedNewVal);
        }
Esempio n. 3
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        /// <summary>
        /// 对齐后的数据,进行滤波。
        /// </summary>
        /// <param name="aligned"></param>
        /// <returns></returns>
        private RmsedNumeral FilterAlignedValue(RmsedNumeral aligned)
        {
            var result = AdjustFilter.Filter(aligned);

            this.CurrentFilteredFraction = result;

            return(result);
        }
Esempio n. 4
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        /// <summary>
        /// 滤波
        /// </summary>
        /// <param name="newVal"></param>
        /// <returns></returns>
        public RmsedNumeral Filter(RmsedNumeral newVal)
        {
            var builder = new OneDimAdjustMatrixBuilder(newVal, PrevAdjustment);
            var sp      = new SimpleKalmanFilter();
            var a       = sp.Run(builder);
            var est     = a.Estimated;

            this.PrevAdjustment = a;//update
            return(new RmsedNumeral(est[0], est.GetRmsVector()[0]));
        }
Esempio n. 5
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        /// <summary>
        ///具有认为阶梯的对齐。
        /// 多项式拟合检核新数据,通过则直接添加,返回修正后的该值
        /// 如果未满,则直接添加,不检核。
        /// 如果数据达到最大断裂数,则清空之前数据重新对齐添加。
        /// 采用Tag存储对齐数据。
        /// </summary>
        /// <param name="key">关键字</param>
        /// <param name="newVal"></param>
        /// <param name="order"></param>
        /// <param name="maxRmsTimes"></param>
        /// <param name="referVal">参考值</param>
        /// <returns>添加则返回true,否则false</returns>
        public double FitCheckAddAndAlignWithStep(TKey key, double newVal, out bool isReseted, double referVal = 0, int order = 2, double maxRmsTimes = 10, double step = 100)
        {
            //对齐功能,第一次
            if (this.Tag == null || this.Count == 0)
            {
                this.Tag = Math.Round(referVal - newVal); isReseted = true;
            }                                                                                                       //整数对齐,第一次
            var correctedNewVal = newVal + (double)(Tag);

            if (!this.IsFull)
            {
                //在未满前,也应该做出判断。此处采用参考值判断。
                if (Math.Abs(correctedNewVal - referVal) > 1000)
                {
                    Tag             = GetAligner(newVal, referVal, step, 0);
                    correctedNewVal = newVal + (double)(Tag);
                    isReseted       = true;
                }
                else
                {
                    isReseted = false;
                }

                this.Add(key, correctedNewVal);

                return(correctedNewVal);
            }

            //干净拟合数据

            var          neatWin    = GetNeatlyWindowData(order, 3, true);
            RmsedNumeral nextFitVal = neatWin.GetPolyFitValue(key, order);

            var differ = Math.Abs(nextFitVal.Value - correctedNewVal);

            if (differ > nextFitVal.Rms * maxRmsTimes)
            {
                //避免和前一个修正采用相同方向的偏移。但围绕参考值,不至于太远。
                var fitVal = nextFitVal.Value;
                Tag             = GetAligner(newVal, referVal, step, fitVal);
                correctedNewVal = newVal + (double)(Tag);
                this.Clear();
                isReseted = true;
            }
            else
            {
                isReseted = false;
            }

            Add(key, correctedNewVal);
            return(correctedNewVal);
        }
Esempio n. 6
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        /// <summary>
        /// 采用四舍五入法,获取本分组MW的小数部分[-0.5, 0.5],将所有分段的MW合并,加权平均。以第RMS最小的为基准,作差比较,确保在同一个小数区间
        /// </summary>
        /// <param name="maxRms"></param>
        /// <returns></returns>
        public BaseDictionary <TKey, RmsedNumeral> GetAverageRoundFraction(double maxRms = 0.5)
        {
            var dat = new BaseDictionary <TKey, RmsedNumeral>();

            foreach (var item in this.Data)
            {
                var list = item.Value.Values;

                RmsedNumeral ave = Geo.Utils.DoubleUtil.GetAverageRoundFraction(list, maxRms, 3);

                if (ave != null)
                {
                    dat[item.Key] = ave;
                }
            }
            return(dat);
        }
Esempio n. 7
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        /// <summary>
        /// 第一次,初值,周跳发生后,也采用本法赋值。
        /// </summary>
        /// <param name="rawValue"></param>
        /// <returns></returns>
        private RmsedNumeral GetInitValue(RmsedNumeral rawValue)
        {
            //上一次小数作为参考,以使本次最为接近
            if (CurrentFilteredFraction != null)
            {
                FactionCutter.ReferenceValue = CurrentFilteredFraction.Value;
            }

            //计算整数部分或周跳的大小
            var bufferAve       = Buffers.AverageValue;//采用平均数,避免跳跃
            var alignedFraction = FactionCutter.Filter(bufferAve);

            this.IntegerPart             = (int)(bufferAve - alignedFraction);
            this.CurrentFilteredFraction = new RmsedNumeral(alignedFraction, rawValue.Rms);

            log.Debug("截取了整数部分 " + this.IntegerPart);
            return(this.CurrentFilteredFraction);
        }
Esempio n. 8
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        /// <summary>
        /// 多项式拟合检核新数据,通过则添加,返回ture,否则清空,添加该数据,并返回false。
        /// 如果未满,则直接添加,不检核,并返回true。
        /// </summary>
        /// <param name="newVal"></param>
        /// <param name="order"></param>
        /// <param name="errorTimes"></param>
        /// <param name="nextIndex"></param>
        /// <returns></returns>
        public bool PolyfitCheckAddOrClear(double newVal, int order, double errorTimes = 3, double nextIndex = 0)
        {
            if (!this.IsFull)
            {
                this.Add(newVal); return(true);
            }

            RmsedNumeral rmsedVal = GetNextLsPolyFitValue(nextIndex, order);
            var          error    = Math.Abs(newVal - rmsedVal.Value);
            var          maxError = rmsedVal.Rms * errorTimes;

            if (error > maxError)
            {
                this.Clear();
                this.Add(newVal);
                return(false);
            }

            this.Add(newVal);
            return(true);
        }
Esempio n. 9
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        /// <summary>
        /// 计算返回滤波后的数据,为小数部分的滤波值。
        /// </summary>
        /// <returns></returns>
        public CyclicalNumerFilter Calculate()
        {
            if (_isCurrentSolved)
            {
                return(this);
            }
            _isCurrentSolved = true;

            Index++;
            //决定截取整数部分
            if (IsNeedInitValue())
            {
                this.CurrentFilteredFraction = GetInitValue(CurrentRawValue);
            }
            else
            {
                var isError = IsGrossError();
                if (isError)                                                                //用于判断是周跳,还是粗差。
                {
                    var isGrossError = ErrorJudge.IsJumped(Buffers, CurrentRawValue.Value); //注意缓存为未对齐数据
                    if (isGrossError)                                                       //粗差,剔除,返回原来的。 //粗差不动,沿用当前
                    {
                        return(this);
                    }
                    else //发生周跳,重新初始化
                    {
                        var init = GetInitValue(CurrentRawValue);//
                        this.CurrentFilteredFraction = FilterAlignedValue(init);
                    }
                }
                else
                {
                    //滤波
                    this.CurrentFilteredFraction = FilterAlignedValue(new RmsedNumeral(CurrentRawValue.Value - IntegerPart, CurrentRawValue.Rms));
                }
            }
            this.CurrentFilteredValue = new RmsedNumeral(CurrentFilteredFraction.Value + IntegerPart, CurrentFilteredFraction.Rms);
            return(this);
        }
Esempio n. 10
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        /// <summary>
        /// 采用滑动平均值方法,对值进行比较,如果超限则就地分解。
        /// </summary>
        /// <param name="errorTimes"></param>
        /// <param name="judgeWindowSize"></param>
        /// <returns></returns>
        public List <NumeralWindowData <TKey> > SplitByMovingAverage(int errorTimes, int judgeWindowSize = 10)
        {
            //1.初选,采用平均法,放大方差要求,将数据进行分段。
            //遍历,
            var initSelects = new List <NumeralWindowData <TKey> >();
            var window      = new NumeralWindowData <TKey>(Int16.MaxValue);

            initSelects.Add(window);

            foreach (var kv in this.Data)
            {
                var key = kv.Key;
                var val = kv.Value;

                if (window.Count < 1)
                {
                    window.Add(kv.Key, kv.Value); continue;
                }

                RmsedNumeral ave    = window.SubNumeralWindow(window.Count - judgeWindowSize, judgeWindowSize).Average;
                var          differ = Math.Abs(ave.Value - kv.Value);
                var          rms    = ave.Rms == 0 ? double.MaxValue : ave.Rms;

                var errorThreshold = errorTimes * rms;
                var isPassed       = differ <= errorThreshold;
                if (isPassed)
                {
                    window.Add(kv.Key, kv.Value);
                }
                else
                {
                    window.WindowSize = window.Count;
                    window            = new NumeralWindowData <TKey>(Int16.MaxValue);
                    initSelects.Add(window);
                }
            }
            window.WindowSize = window.Count;
            return(initSelects);
        }
Esempio n. 11
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 /// <summary>
 /// 清空,并保存上一个平均数。
 /// </summary>
 public override void Clear()
 {
     this.LastAverage = this.Average;
     base.Clear();
 }
Esempio n. 12
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 /// <summary>
 /// 返回滤波后的值.为小数部分的滤波值。
 /// </summary>
 /// <param name="rawValue">具有整周的原始值。</param>
 /// <returns></returns>
 public RmsedNumeral Filter(RmsedNumeral rawValue)
 {
     SetRawValue(rawValue).Calculate();
     return(CurrentFilteredFraction);
 }
Esempio n. 13
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 /// <summary>
 /// 设置当前值。
 /// </summary>
 /// <param name="rawValue"></param>
 /// <returns></returns>
 public CyclicalNumerFilter SetRawValue(RmsedNumeral rawValue)
 {
     this._isCurrentSolved = false;
     this.CurrentRawValue  = rawValue;
     return(this);
 }
Esempio n. 14
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 /// <summary>
 /// 是否为 0
 /// </summary>
 /// <param name="val"></param>
 /// <returns></returns>
 public static bool IsZero(RmsedNumeral val)
 {
     return(val.Rms == 0 && val.Value == 0);
 }
Esempio n. 15
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 /// <summary>
 /// 是否为 0 或则无效
 /// </summary>
 /// <param name="val"></param>
 /// <returns></returns>
 public static bool IsZeroOrNotValid(RmsedNumeral val)
 {
     return(IsZero(val) || !IsValid(val));
 }
Esempio n. 16
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 /// <summary>
 /// 是否有效
 /// </summary>
 /// <param name="val"></param>
 /// <returns></returns>
 public static bool IsValid(RmsedNumeral val)
 {
     return(Geo.Utils.DoubleUtil.IsValid(val.Value) && Geo.Utils.DoubleUtil.IsValid(val.Rms));
 }