diff --git a/Control/brewpi/brewpi.py b/Control/brewpi/brewpi.py
index 682054a..cd34c84 100755
--- a/Control/brewpi/brewpi.py
+++ b/Control/brewpi/brewpi.py
@@ -11,9 +11,21 @@ from matplotlib.pyplot import figure, clf, plot, xlabel, ylabel, xlim, ylim, tit
 
 def results_plot(self):
 
+	fp = open("results.dat", 'w')
+
+	for n in range(0, len(self.time_v)):
+		d = self.time_v[n]
+		v1 = self.theta_raw_v[n]
+		v2 = self.theta_k_v[n]
+		v3 = self.power_v[n]
+		v4 = self.error_v[n]
+		v5 = self.heatrate_k_v[n]
+		fp.write("{:6.3f} {:6.3f} {:6.3f} {:6.3f} {:6.3f}\n".format(d, v1, v2, v3, v4, v5))
+
+	fp.close()
 	figure(1)
 	subplot(4, 1, 1)
-	plot(self.time_v, self.theta_k_v, 'r-', linewidth=1)
+	plot(self.time_v, self.theta_raw_v, 'g-', self.time_v, self.theta_k_v, 'r-', linewidth=1)
 	title('Temperature')
 	grid(True)
 	ylabel('°C')
@@ -56,7 +68,7 @@ if __name__ == '__main__':
 	signal.signal(signal.SIGCONT, handler)
 	signal.signal(signal.SIGHUP, handler)
 
-	fp = open("brewpi.json")
+	fp = open("brewpi_sprung.json")
 	configJson = json.load(fp)
 
 	plant_class = globals()[configJson["Controller"]['plant_name']]
@@ -66,7 +78,7 @@ if __name__ == '__main__':
 
 	ablauf = Controller(configJson["Controller"], plant, ruehrer)
 
-	fp = open("Rezept-001.json")
+	fp = open("Rezept-Sprung.json")
 	recipeJson = json.load(fp)
 
 	ablauf.start(recipeJson)
diff --git a/Control/brewpi/controller.py b/Control/brewpi/controller.py
index b68a09c..809c2b6 100644
--- a/Control/brewpi/controller.py
+++ b/Control/brewpi/controller.py
@@ -25,6 +25,7 @@ class Controller():
 		self.timer_ist = 0
 		self.theta = 0
 		self.heatrate = 0
+		self.theta_raw_v = np.empty(0)
 		self.theta_v = np.empty(0)
 		self.theta_k_v = np.empty(0)
 		self.heatrate_v = np.empty(0)
@@ -160,10 +161,11 @@ class Controller():
 			self.stirrer.process()
 			self.plant.process()
 
-			theta = self.plant.getTemperature()
+			theta_raw = self.plant.getTemperature()
+			self.theta_raw_v = np.append(self.theta_raw_v, theta_raw)
 
 			# Process Kalman
-			Z = self.kalman.process_measurement((theta, 0))
+			Z = self.kalman.process_measurement((theta_raw, 0))
 			xp = self.kalman.process(Z)
 			theta_ist_k = xp[0, 0]
 			dtheta_ist_k = xp[1, 0]
@@ -171,7 +173,7 @@ class Controller():
 			self.heatrate_k_v = np.append(self.heatrate_k_v, dtheta_ist_k * 60 / self.dt)
 
 			# Process conventional
-			theta_ist = self.theta_sm.process(theta)
+			theta_ist = self.theta_sm.process(theta_raw)
 			dtheta_ist = self.heatrate_sm.process(theta_ist - self.theta)
 			self.theta_v = np.append(self.theta_v, theta_ist)
 			self.heatrate_v = np.append(self.heatrate_v, dtheta_ist * 60/self.dt)