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Commit b5b068bd authored by Uwe Peuker's avatar Uwe Peuker
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- Javadoc für Java8-Kompatibilität korrigiert 

- Obsolete SVN-Tags aus Kommentaren entfernt
- Obsolete inheritDoc-Kommentare entfernt
parent 6789033a
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pom.xml
View file @ b5b068bd
......@@ -5,7 +5,7 @@
<groupId>de.bsvrz.dua</groupId>
<artifactId>de.bsvrz.dua.progglaette</artifactId>
<version>2.0.1</version>
<version>2.0.2</version>
<name>Glaettewarnung und -prognose</name>
......@@ -27,7 +27,6 @@
<distributionspaket.status>FREI</distributionspaket.status>
<distributionspaket.standDatum>2016-07-22</distributionspaket.standDatum>
<distributionspaket.lizenz>GPLv3.0</distributionspaket.lizenz>
<additionalparam>-Xdoclint:none</additionalparam>
</properties>
<licenses>
......@@ -175,7 +174,7 @@
<dependency>
<groupId>de.bsvrz.sys</groupId>
<artifactId>de.bsvrz.sys.funclib.bitctrl.dua</artifactId>
<version>1.6.0</version>
<version>1.6.1</version>
</dependency>
<dependency>
<groupId>de.bsvrz.dua</groupId>
......
src/main/java/de/bsvrz/dua/progglaette/progglaette/PrognoseZustand.java
View file @ b5b068bd
/*
*
* Copyright (C) 2007-2015 BitCtrl Systems GmbH
* Copyright 2016 by Kappich Systemberatung Aachen
*
* This file is part of de.bsvrz.dua.progglaette.
*
* de.bsvrz.dua.progglaette is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* de.bsvrz.dua.progglaette is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with de.bsvrz.dua.progglaette. If not, see <http://www.gnu.org/licenses/>.
* Contact Information:
* Kappich Systemberatung
* Martin-Luther-Straße 14
* 52062 Aachen, Germany
* phone: +49 241 4090 436
* mail: <info@kappich.de>
*/
package de.bsvrz.dua.progglaette.progglaette;
import java.util.SortedSet;
import java.util.TreeSet;
/**
* Berechnet eine Prognose von Messwerten mit der Methode der Linearen
* Trendextrapolation ( Least Square Method ) Die Prognose ist nach AFo im
* Horizont 5, 15, 30, 60, 90 Minuten.
*
* @author BitCtrl Systems GmbH, Bachraty
*
* @version $Id: PrognoseZustand.java 53837 2015-03-18 11:45:45Z peuker $
*/
public class PrognoseZustand {
/**
* Minute in Millisekunden.
*/
public static final long MIN_IN_MS = 60L * 1000L;
/**
* Standardkonstruktor.
*/
protected PrognoseZustand() {
}
/**
* Berechnet die Prognose.
*
* @param werteArray
* Messwerte
* @param zeitArrayOriginal
* Zeitpunkte der Messwerten
* @param indexAktuell
* Index des letzten Messwertes ( aktuellen )
* @return Prognose fuer den Messwert in 5, 15, 30, 60 und 90 Minuten
*/
static double[] berechnePrognose(final double[] werteArray,
final long[] zeitArrayOriginal, final int indexAktuell) {
/**
* kleinsten Zeitstempel heraussuchen
*/
final SortedSet<Long> ordnung = new TreeSet<Long>();
for (final Long zeitStempel : zeitArrayOriginal) {
if (zeitStempel > 0) {
ordnung.add(zeitStempel);
}
}
final long kleinsterZeitStempel = ordnung.first();
long t0 = 0;
final long[] zeitArray = new long[zeitArrayOriginal.length];
for (int i = 0; i < zeitArrayOriginal.length; i++) {
if (zeitArrayOriginal[i] > 0) {
zeitArray[i] = ((zeitArrayOriginal[i] - kleinsterZeitStempel) / ((long) (60 * 1000))) + 1;
if (zeitArray[i] > t0) {
t0 = zeitArray[i];
}
} else {
zeitArray[i] = 0;
}
}
double a, b;
final double[] y = new double[5];
double sumT = 0.0f;
double sumT2 = 0.0f;
double sumW = 0.0f;
double sumTW = 0.0f;
double tMitte, yMitte;
final int n = werteArray.length;
int m = n;
for (int i = 0; i < n; i++) {
// Zeitstempel ist 0, wenn ein Datum fehlt
if (zeitArray[i] != 0) {
sumT += zeitArray[i];
sumW += werteArray[i];
sumT2 += zeitArray[i] * zeitArray[i];
sumTW += zeitArray[i] * werteArray[i];
} else {
m--;
}
}
tMitte = sumT / m;
yMitte = sumW / m;
a = (sumTW - (m * tMitte * yMitte)) / (sumT2 - (m * tMitte * tMitte));
b = yMitte - (a * tMitte);
y[0] = (a * (t0 + 5L)) + b;
y[1] = (a * (t0 + 15L)) + b;
y[2] = (a * (t0 + 30L)) + b;
y[3] = (a * (t0 + 60L)) + b;
y[4] = (a * (t0 + 90L)) + b;
return y;
}
}
/*
*
* Copyright (C) 2007-2015 BitCtrl Systems GmbH
* Copyright 2016 by Kappich Systemberatung Aachen
*
* This file is part of de.bsvrz.dua.progglaette.
*
* de.bsvrz.dua.progglaette is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* de.bsvrz.dua.progglaette is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with de.bsvrz.dua.progglaette. If not, see <http://www.gnu.org/licenses/>.
* Contact Information:
* Kappich Systemberatung
* Martin-Luther-Straße 14
* 52062 Aachen, Germany
* phone: +49 241 4090 436
* mail: <info@kappich.de>
*/
package de.bsvrz.dua.progglaette.progglaette;
import java.util.SortedSet;
import java.util.TreeSet;
/**
* Berechnet eine Prognose von Messwerten mit der Methode der Linearen
* Trendextrapolation ( Least Square Method ) Die Prognose ist nach AFo im
* Horizont 5, 15, 30, 60, 90 Minuten.
*
* @author BitCtrl Systems GmbH, Bachraty
*/
public class PrognoseZustand {
/**
* Minute in Millisekunden.
*/
public static final long MIN_IN_MS = 60L * 1000L;
/**
* Standardkonstruktor.
*/
protected PrognoseZustand() {
}
/**
* Berechnet die Prognose.
*
* @param werteArray
* Messwerte
* @param zeitArrayOriginal
* Zeitpunkte der Messwerten
* @param indexAktuell
* Index des letzten Messwertes ( aktuellen )
* @return Prognose fuer den Messwert in 5, 15, 30, 60 und 90 Minuten
*/
static double[] berechnePrognose(final double[] werteArray,
final long[] zeitArrayOriginal, final int indexAktuell) {
/**
* kleinsten Zeitstempel heraussuchen
*/
final SortedSet<Long> ordnung = new TreeSet<Long>();
for (final Long zeitStempel : zeitArrayOriginal) {
if (zeitStempel > 0) {
ordnung.add(zeitStempel);
}
}
final long kleinsterZeitStempel = ordnung.first();
long t0 = 0;
final long[] zeitArray = new long[zeitArrayOriginal.length];
for (int i = 0; i < zeitArrayOriginal.length; i++) {
if (zeitArrayOriginal[i] > 0) {
zeitArray[i] = ((zeitArrayOriginal[i] - kleinsterZeitStempel) / ((long) (60 * 1000))) + 1;
if (zeitArray[i] > t0) {
t0 = zeitArray[i];
}
} else {
zeitArray[i] = 0;
}
}
double a, b;
final double[] y = new double[5];
double sumT = 0.0f;
double sumT2 = 0.0f;
double sumW = 0.0f;
double sumTW = 0.0f;
double tMitte, yMitte;
final int n = werteArray.length;
int m = n;
for (int i = 0; i < n; i++) {
// Zeitstempel ist 0, wenn ein Datum fehlt
if (zeitArray[i] != 0) {
sumT += zeitArray[i];
sumW += werteArray[i];
sumT2 += zeitArray[i] * zeitArray[i];
sumTW += zeitArray[i] * werteArray[i];
} else {
m--;
}
}
tMitte = sumT / m;
yMitte = sumW / m;
a = (sumTW - (m * tMitte * yMitte)) / (sumT2 - (m * tMitte * tMitte));
b = yMitte - (a * tMitte);
y[0] = (a * (t0 + 5L)) + b;
y[1] = (a * (t0 + 15L)) + b;
y[2] = (a * (t0 + 30L)) + b;
y[3] = (a * (t0 + 60L)) + b;
y[4] = (a * (t0 + 90L)) + b;
return y;
}
}
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