diff --git a/application_events.json b/application_events.json
index 716ab43..6a57598 100644
--- a/application_events.json
+++ b/application_events.json
@@ -1,1040 +1,5 @@
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+      "timestamp": "2025-08-19T10:47:01.080952",
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+      "message": "🔥 CRITICAL: CSV recording stopped (dataset threads continue for UDP streaming)",
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+      "message": "UDP streaming to PlotJuggler stopped (CSV recording continues)",
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+        "cpu_max": 0.5,
+        "delay_average": 0.0,
+        "delay_max": 0.0,
+        "read_errors": 0,
+        "csv_errors": 0,
+        "udp_errors": 0,
+        "read_time_avg": 0.06087278723716736,
+        "csv_write_time_avg": 0.0
+      }
+    },
+    {
+      "timestamp": "2025-08-19T17:04:51.335229",
+      "level": "info",
+      "event_type": "performance_report",
+      "message": "Performance report: 40 points saved, 0 lost, 0.5% CPU",
+      "details": {
+        "duration": 10.025708198547363,
+        "points_saved": 40,
+        "points_rate": 3.9897430892508567,
+        "variables_saved": 120,
+        "udp_points_sent": 0,
+        "points_lost": 0,
+        "cpu_average": 0.5,
+        "cpu_max": 0.5,
+        "delay_average": 0.0,
+        "delay_max": 0.0,
+        "read_errors": 0,
+        "csv_errors": 0,
+        "udp_errors": 0,
+        "read_time_avg": 0.06208416819572449,
+        "csv_write_time_avg": 0.0
+      }
+    },
+    {
+      "timestamp": "2025-08-19T17:05:01.363592",
+      "level": "info",
+      "event_type": "performance_report",
+      "message": "Performance report: 40 points saved, 0 lost, 0.2% CPU",
+      "details": {
+        "duration": 10.028362274169922,
+        "points_saved": 40,
+        "points_rate": 3.9886871760734155,
+        "variables_saved": 120,
+        "udp_points_sent": 0,
+        "points_lost": 0,
+        "cpu_average": 0.2,
+        "cpu_max": 0.2,
+        "delay_average": 0.0,
+        "delay_max": 0.0,
+        "read_errors": 0,
+        "csv_errors": 0,
+        "udp_errors": 0,
+        "read_time_avg": 0.05595792531967163,
+        "csv_write_time_avg": 0.0
+      }
+    },
+    {
+      "timestamp": "2025-08-19T17:05:11.389268",
+      "level": "info",
+      "event_type": "performance_report",
+      "message": "Performance report: 40 points saved, 0 lost, 0.5% CPU",
+      "details": {
+        "duration": 10.025676250457764,
+        "points_saved": 40,
+        "points_rate": 3.9897558030734968,
+        "variables_saved": 120,
+        "udp_points_sent": 0,
+        "points_lost": 0,
+        "cpu_average": 0.5,
+        "cpu_max": 0.5,
+        "delay_average": 0.0,
+        "delay_max": 0.0,
+        "read_errors": 0,
+        "csv_errors": 0,
+        "udp_errors": 0,
+        "read_time_avg": 0.06137528419494629,
+        "csv_write_time_avg": 0.0
+      }
+    },
+    {
+      "timestamp": "2025-08-19T17:05:21.415702",
+      "level": "info",
+      "event_type": "performance_report",
+      "message": "Performance report: 40 points saved, 0 lost, 0.3% CPU",
+      "details": {
+        "duration": 10.026434421539307,
+        "points_saved": 40,
+        "points_rate": 3.989454108837527,
+        "variables_saved": 120,
+        "udp_points_sent": 0,
+        "points_lost": 0,
+        "cpu_average": 0.3,
+        "cpu_max": 0.3,
+        "delay_average": 0.0,
+        "delay_max": 0.0,
+        "read_errors": 0,
+        "csv_errors": 0,
+        "udp_errors": 0,
+        "read_time_avg": 0.058309274911880496,
+        "csv_write_time_avg": 0.0
+      }
+    },
+    {
+      "timestamp": "2025-08-19T17:05:31.442913",
+      "level": "info",
+      "event_type": "performance_report",
+      "message": "Performance report: 41 points saved, 0 lost, 0.0% CPU",
+      "details": {
+        "duration": 10.027210712432861,
+        "points_saved": 41,
+        "points_rate": 4.088873882859926,
+        "variables_saved": 123,
+        "udp_points_sent": 0,
+        "points_lost": 0,
+        "cpu_average": 0.0,
+        "cpu_max": 0.0,
+        "delay_average": 0.0,
+        "delay_max": 0.0,
+        "read_errors": 0,
+        "csv_errors": 0,
+        "udp_errors": 0,
+        "read_time_avg": 0.05976524585630835,
+        "csv_write_time_avg": 0.0
+      }
+    },
+    {
+      "timestamp": "2025-08-19T17:05:35.269294",
+      "level": "info",
+      "event_type": "udp_streaming_stopped",
+      "message": "UDP streaming to PlotJuggler stopped (CSV recording continues)",
+      "details": {}
+    },
+    {
+      "timestamp": "2025-08-19T17:05:38.253214",
+      "level": "info",
+      "event_type": "csv_recording_stopped",
+      "message": "🔥 CRITICAL: CSV recording stopped (dataset threads continue for UDP streaming)",
+      "details": {
+        "recording_protection": false,
+        "performance_monitoring": false
+      }
+    },
+    {
+      "timestamp": "2025-08-19T17:05:38.282119",
+      "level": "info",
+      "event_type": "udp_streaming_stopped",
+      "message": "UDP streaming to PlotJuggler stopped (CSV recording continues)",
+      "details": {}
+    },
+    {
+      "timestamp": "2025-08-19T17:05:38.307039",
+      "level": "info",
+      "event_type": "dataset_deactivated",
+      "message": "Dataset deactivated: test",
+      "details": {
+        "dataset_id": "Test"
+      }
+    },
+    {
+      "timestamp": "2025-08-19T17:05:38.810047",
+      "level": "info",
+      "event_type": "dataset_deactivated",
+      "message": "Dataset deactivated: DAR",
+      "details": {
+        "dataset_id": "DAR"
+      }
+    },
+    {
+      "timestamp": "2025-08-19T17:05:38.837486",
+      "level": "info",
+      "event_type": "dataset_deactivated",
+      "message": "Dataset deactivated: Fast",
+      "details": {
+        "dataset_id": "Fast"
+      }
+    },
+    {
+      "timestamp": "2025-08-19T17:05:38.864581",
+      "level": "info",
+      "event_type": "plc_disconnection",
+      "message": "Disconnected from PLC 10.1.33.11 (application shutdown (will auto-reconnect on restart))",
+      "details": {}
+    },
+    {
+      "timestamp": "2025-08-19T17:05:48.893938",
+      "level": "info",
+      "event_type": "application_started",
+      "message": "Application initialization completed successfully",
+      "details": {}
+    },
+    {
+      "timestamp": "2025-08-19T17:05:48.997625",
+      "level": "info",
+      "event_type": "dataset_activated",
+      "message": "Dataset activated: DAR",
+      "details": {
+        "dataset_id": "DAR",
+        "variables_count": 3,
+        "streaming_count": 3,
+        "prefix": "gateway_phoenix"
+      }
+    },
+    {
+      "timestamp": "2025-08-19T17:05:49.034963",
+      "level": "info",
+      "event_type": "dataset_activated",
+      "message": "Dataset activated: Fast",
+      "details": {
+        "dataset_id": "Fast",
+        "variables_count": 3,
+        "streaming_count": 1,
+        "prefix": "fast"
+      }
+    },
+    {
+      "timestamp": "2025-08-19T17:05:49.069101",
+      "level": "info",
+      "event_type": "csv_recording_started",
+      "message": "🔥 CRITICAL PRIORITY: CSV recording started with MAXIMUM PRIORITY, async buffering, and performance monitoring: 2 datasets activated",
+      "details": {
+        "activated_datasets": 2,
+        "total_datasets": 3,
+        "priority": "CRITICAL",
+        "recording_protection": true,
+        "performance_monitoring": true,
+        "async_csv_buffering": true,
+        "csv_flush_interval": 5.0
+      }
+    },
+    {
+      "timestamp": "2025-08-19T17:05:58.997216",
+      "level": "info",
+      "event_type": "performance_report",
+      "message": "Performance report: 40 points saved, 0 lost, 0.0% CPU",
+      "details": {
+        "duration": 11.107863664627075,
+        "points_saved": 40,
+        "points_rate": 3.6010524802694293,
+        "variables_saved": 120,
+        "udp_points_sent": 0,
+        "points_lost": 0,
+        "cpu_average": 0.0,
+        "cpu_max": 0.0,
+        "delay_average": 0.0,
+        "delay_max": 0.0,
+        "read_errors": 0,
+        "csv_errors": 0,
+        "udp_errors": 0,
+        "read_time_avg": 0.05864734649658203,
+        "csv_write_time_avg": 0.0
+      }
+    },
+    {
+      "timestamp": "2025-08-19T17:06:09.037703",
+      "level": "info",
+      "event_type": "performance_report",
+      "message": "Performance report: 40 points saved, 0 lost, 0.2% CPU",
+      "details": {
+        "duration": 10.040487289428711,
+        "points_saved": 40,
+        "points_rate": 3.9838703886528144,
+        "variables_saved": 120,
+        "udp_points_sent": 0,
+        "points_lost": 0,
+        "cpu_average": 0.2,
+        "cpu_max": 0.2,
+        "delay_average": 0.0,
+        "delay_max": 0.0,
+        "read_errors": 0,
+        "csv_errors": 0,
+        "udp_errors": 0,
+        "read_time_avg": 0.059162062406539914,
+        "csv_write_time_avg": 0.0
+      }
+    },
+    {
+      "timestamp": "2025-08-19T17:06:19.071796",
+      "level": "info",
+      "event_type": "performance_report",
+      "message": "Performance report: 41 points saved, 0 lost, 0.2% CPU",
+      "details": {
+        "duration": 10.034092664718628,
+        "points_saved": 41,
+        "points_rate": 4.086069500251093,
+        "variables_saved": 123,
+        "udp_points_sent": 0,
+        "points_lost": 0,
+        "cpu_average": 0.2,
+        "cpu_max": 0.2,
+        "delay_average": 0.0,
+        "delay_max": 0.0,
+        "read_errors": 0,
+        "csv_errors": 0,
+        "udp_errors": 0,
+        "read_time_avg": 0.058728834477866566,
+        "csv_write_time_avg": 0.0
+      }
+    },
+    {
+      "timestamp": "2025-08-19T17:06:29.105896",
+      "level": "info",
+      "event_type": "performance_report",
+      "message": "Performance report: 40 points saved, 0 lost, 0.3% CPU",
+      "details": {
+        "duration": 10.03357481956482,
+        "points_saved": 40,
+        "points_rate": 3.98661501202967,
+        "variables_saved": 120,
+        "udp_points_sent": 0,
+        "points_lost": 0,
+        "cpu_average": 0.3,
+        "cpu_max": 0.3,
+        "delay_average": 0.0,
+        "delay_max": 0.0,
+        "read_errors": 0,
+        "csv_errors": 0,
+        "udp_errors": 0,
+        "read_time_avg": 0.05819299817085266,
+        "csv_write_time_avg": 0.0
+      }
+    },
+    {
+      "timestamp": "2025-08-19T17:06:39.141630",
+      "level": "info",
+      "event_type": "performance_report",
+      "message": "Performance report: 40 points saved, 0 lost, 0.0% CPU",
+      "details": {
+        "duration": 10.03572678565979,
+        "points_saved": 40,
+        "points_rate": 3.985760160106853,
+        "variables_saved": 120,
+        "udp_points_sent": 0,
+        "points_lost": 0,
+        "cpu_average": 0.0,
+        "cpu_max": 0.0,
+        "delay_average": 0.0,
+        "delay_max": 0.0,
+        "read_errors": 0,
+        "csv_errors": 0,
+        "udp_errors": 0,
+        "read_time_avg": 0.06037740111351013,
+        "csv_write_time_avg": 0.0
+      }
+    },
+    {
+      "timestamp": "2025-08-19T17:06:49.179671",
+      "level": "info",
+      "event_type": "performance_report",
+      "message": "Performance report: 40 points saved, 0 lost, 0.5% CPU",
+      "details": {
+        "duration": 10.038573265075684,
+        "points_saved": 40,
+        "points_rate": 3.984629981150855,
+        "variables_saved": 120,
+        "udp_points_sent": 0,
+        "points_lost": 0,
+        "cpu_average": 0.5,
+        "cpu_max": 0.5,
+        "delay_average": 0.0,
+        "delay_max": 0.0,
+        "read_errors": 0,
+        "csv_errors": 0,
+        "udp_errors": 0,
+        "read_time_avg": 0.056579184532165525,
+        "csv_write_time_avg": 0.0
+      }
+    },
+    {
+      "timestamp": "2025-08-19T17:06:59.218369",
+      "level": "info",
+      "event_type": "performance_report",
+      "message": "Performance report: 41 points saved, 0 lost, 0.0% CPU",
+      "details": {
+        "duration": 10.038698434829712,
+        "points_saved": 41,
+        "points_rate": 4.084194805349334,
+        "variables_saved": 123,
+        "udp_points_sent": 0,
+        "points_lost": 0,
+        "cpu_average": 0.0,
+        "cpu_max": 0.0,
+        "delay_average": 0.0,
+        "delay_max": 0.0,
+        "read_errors": 0,
+        "csv_errors": 0,
+        "udp_errors": 0,
+        "read_time_avg": 0.05648649029615449,
+        "csv_write_time_avg": 0.0
+      }
     }
   ],
-  "last_updated": "2025-08-19T10:28:32.887509",
+  "last_updated": "2025-08-19T17:06:59.218369",
   "total_entries": 1000
 }
\ No newline at end of file
diff --git a/main.py b/main.py
index 81b5d04..fc3d580 100644
--- a/main.py
+++ b/main.py
@@ -37,12 +37,65 @@ try:
 except ImportError:
     TKINTER_AVAILABLE = False
     print("Warning: tkinter not available. File browse functionality will be limited.")
+
+# Import core modules
 from core import PLCDataStreamer
 from core.historical_cache import HistoricalDataCache
 from utils.json_manager import JSONManager, SchemaManager
 from utils.symbol_loader import SymbolLoader
 from utils.symbol_processor import SymbolProcessor
 
+
+def check_for_running_instance_early():
+    """
+    Optional early check for running instance before initializing PLCDataStreamer.
+    This provides faster feedback to the user without going through full initialization.
+    """
+    import psutil
+
+    lock_file = "plc_streamer.lock"
+
+    if not os.path.exists(lock_file):
+        return True  # No lock file, safe to proceed
+
+    try:
+        with open(lock_file, "r") as f:
+            old_pid = int(f.read().strip())
+
+        if psutil.pid_exists(old_pid):
+            proc = psutil.Process(old_pid)
+            cmdline = " ".join(proc.cmdline())
+
+            # Check if it's really our application
+            if (
+                ("main.py" in cmdline and "S7_snap7_Stremer_n_Log" in cmdline)
+                or ("plc_streamer" in cmdline.lower())
+                or ("PLCDataStreamer" in cmdline)
+            ):
+                print(f"🚫 Another instance is already running (PID: {old_pid})")
+                print(f"📋 Process: {proc.name()}")
+                print(f"💻 Command: {cmdline}")
+                return False
+
+        # Process not running or different process, remove stale lock
+        os.remove(lock_file)
+        print(f"🧹 Removed stale lock file")
+        return True
+
+    except (ValueError, psutil.NoSuchProcess, psutil.AccessDenied, FileNotFoundError):
+        # Invalid or inaccessible, remove lock file if exists
+        if os.path.exists(lock_file):
+            try:
+                os.remove(lock_file)
+                print(f"🧹 Removed invalid lock file")
+            except:
+                pass
+        return True
+    except Exception as e:
+        print(f"⚠️ Error checking instance: {e}")
+        return True  # On error, allow to proceed
+
+
 app = Flask(__name__)
 CORS(
     app,
@@ -3116,26 +3169,53 @@ def graceful_shutdown():
     """Perform graceful shutdown"""
     print("\n⏹️  Performing graceful shutdown...")
     try:
-        streamer.stop_streaming()
-        # 🚀 PRESERVE auto-reconnect state: Don't clear reconnection data
-        streamer.disconnect_plc(manual_disconnect=False)  # Keep auto-reconnect state
-        # 🔑 PRIORITY: Shutdown priority manager and performance monitor
-        if hasattr(streamer.data_streamer, "priority_manager"):
-            streamer.data_streamer.priority_manager.shutdown()
-        if hasattr(streamer.data_streamer, "performance_monitor"):
-            streamer.data_streamer.performance_monitor.stop_monitoring()
-        streamer.release_instance_lock()
+        if streamer is not None:
+            print("🛑 Stopping streaming...")
+            streamer.stop_streaming()
+
+            print("📡 Disconnecting PLC...")
+            # 🚀 PRESERVE auto-reconnect state: Don't clear reconnection data
+            streamer.disconnect_plc(
+                manual_disconnect=False
+            )  # Keep auto-reconnect state
+
+            print("🧹 Shutting down priority manager and performance monitor...")
+            # 🔑 PRIORITY: Shutdown priority manager and performance monitor
+            if hasattr(streamer.data_streamer, "priority_manager"):
+                streamer.data_streamer.priority_manager.shutdown()
+            if hasattr(streamer.data_streamer, "performance_monitor"):
+                streamer.data_streamer.performance_monitor.stop_monitoring()
+
+            print("🔓 Releasing instance lock...")
+            streamer.release_instance_lock()
+            print("✅ Instance lock released")
+        else:
+            print("⚠️ Streamer not initialized, skipping shutdown steps")
+
+        print("📝 Closing rotating logger system...")
         # 📝 Close rotating logger system
         backend_logger.close()
         print("✅ Shutdown completed successfully")
+
     except Exception as e:
         print(f"⚠️  Error during shutdown: {e}")
+        # Try to force cleanup lock file as last resort
+        try:
+            import os
+
+            lock_file = "plc_streamer.lock"
+            if os.path.exists(lock_file):
+                os.remove(lock_file)
+                print(f"🧹 Emergency cleanup: Removed lock file")
+        except:
+            pass  # Silent fail for emergency cleanup
 
 
 def signal_handler(sig, frame):
-    """Handle interrupt signals (Ctrl+C)"""
+    """Handle interrupt signals (Ctrl+C) with proper cleanup"""
     print(f"\n🛑 Received signal {sig}...")
     graceful_shutdown()
+    print("👋 Exiting application...")
     sys.exit(0)
 
 
@@ -3789,10 +3869,48 @@ def open_csv_in_excel():
 
 
 if __name__ == "__main__":
+    print(f"🚀 Starting PLC S7-315 Streamer & Logger...")
+    print(f"🐍 Process PID: {os.getpid()}")
+
+    # 🔍 OPTIONAL: Early check for existing instance (faster feedback)
+    # Comment out the next 4 lines if you prefer the full error handling in PLCDataStreamer
+    if not check_for_running_instance_early():
+        print("❌ Startup aborted due to existing instance")
+        # input("Press Enter to exit...")
+        sys.exit(1)
+
     try:
-        # Initialize streamer instance
+        # Initialize streamer instance with instance check
+        print("✅ No conflicting instances found (early check)")
+        print("🔧 Initializing PLCDataStreamer...")
         streamer = PLCDataStreamer()
+
+        print("📊 Initializing Historical Cache...")
+        # Pass the backend_logger to HistoricalDataCache
+        historical_cache = HistoricalDataCache(backend_logger)
+
+        print("✅ Backend initialization complete")
         main()
+
+    except RuntimeError as e:
+        if "Another instance" in str(e):
+            print("🚫 Another instance of the application is already running.")
+            print("💡 Please stop the other instance first or wait for it to finish.")
+            print(f"📋 Error details: {e}")
+            print("\n🔍 You can check Task Manager for 'python.exe' processes")
+            print(
+                "🔍 Or wait a few seconds and try again if the other instance is closing"
+            )
+            input("\nPress Enter to exit...")
+        else:
+            print(f"💥 Runtime error during initialization: {e}")
+            input("Press Enter to exit...")
+        sys.exit(1)
+
     except Exception as e:
         print(f"💥 Critical error during initialization: {e}")
+        import traceback
+
+        traceback.print_exc()
+        input("Press Enter to exit...")
         sys.exit(1)
diff --git a/system_state.json b/system_state.json
index 7546ce6..8c11bf8 100644
--- a/system_state.json
+++ b/system_state.json
@@ -1,13 +1,13 @@
 {
     "last_state": {
-        "should_connect": false,
+        "should_connect": true,
         "should_stream": false,
         "active_datasets": [
-            "Test",
+            "DAR",
             "Fast",
-            "DAR"
+            "Test"
         ]
     },
     "auto_recovery_enabled": true,
-    "last_update": "2025-08-19T10:28:32.782080"
+    "last_update": "2025-08-19T17:05:49.105884"
 }
\ No newline at end of file