CANBUS

CANBUS SIMULATION WORK

import can import threading import time import random import matplotlib.pyplot as plt

Create a CAN bus

bus = can.interface.Bus(channel='vcan0', bustype='socketcan')

Define message IDs

EMERGENCY_MESSAGE_ID = 0x100 ENGINE_HEAT_MESSAGE_ID = 0x200

Lists to store data for visualization

time_points = [] temperature_data = [] emergency_data = []

Enable Matplotlib interactive mode

plt.ion()

Function to send messages from Node 1 (Engine Heat Monitor)

def engine_heat_monitor(): while True: heat_data = random.uniform(80, 100) # Simulate temperature data between 80°C and 100°C msg = can.Message(arbitration_id=ENGINE_HEAT_MESSAGE_ID, data=[int(heat_data)]) bus.send(msg)

    # Record data for visualization
    current_time = time.time()
    time_points.append(current_time)
    temperature_data.append(heat_data)

    time.sleep(1)

Function to send messages from Node 2 (Obstacle Finder)

def obstacle_finder(): while True: # Simulate an "emergency situation" by sending an "emergency" message occasionally if random.random() < 0.1: msg = can.Message(arbitration_id=EMERGENCY_MESSAGE_ID, data=[1]) bus.send(msg)

        # Record emergency data for visualization
        current_time = time.time()
        emergency_data.append((current_time, 1))

    time.sleep(0.5)

Function to handle received messages in Node 3 (Main Control)

def main_control(): while True: message = bus.recv()

    if message.arbitration_id == EMERGENCY_MESSAGE_ID:
        print("Main Control: Received an emergency message.")
        # Handle the emergency situation here
    elif message.arbitration_id == ENGINE_HEAT_MESSAGE_ID:
        temperature = message.data[0]
        print(f"Main Control: Received engine temperature data: {temperature} °C")
        # Handle regular engine heat data here

Start the threads for each node

engine_heat_thread = threading.Thread(target=engine_heat_monitor) obstacle_finder_thread = threading.Thread(target=obstacle_finder) main_control_thread = threading.Thread(target=main_control)

engine_heat_thread.start() obstacle_finder_thread.start() main_control_thread.start()

Visualization

def plot_data(): plt.figure(figsize=(10, 6)) plt.title("Engine Temperature and Emergency Situations Over Time")

# Plot temperature data
plt.plot(time_points, temperature_data, label="Engine Temperature (°C)")

# Plot emergency situations as vertical lines
for time_point, _ in emergency_data:
    plt.axvline(x=time_point, color='r', linestyle='--', label="Emergency Situation")

plt.xlabel("Time (s)")
plt.ylabel("Temperature (°C)")
plt.legend()
plt.grid(True)
plt.pause(0.01)  # Add a pause to allow interactive updates

Start the data visualization thread

visualization_thread = threading.Thread(target=plot_data) visualization_thread.start()

Keep the script running

while True: pass