（九三）ArkCompiler 在智能矿山中的应用：编译优化助力安全与效率提升 原创

import random                                 # 模拟矿山地图                mine_map = [                    [0, 0, 0, 0],                    [0, 1, 0, 0],                    [0, 0, 0, 0],                    [0, 0, 0, 0]                ]                                 # 机器人当前位置                current_position = [0, 0]                                 # 路径规划函数                def plan_path():                    possible_moves = []                    x, y = current_position                    if x > 0 and mine_map[x - 1][y] == 0:                        possible_moves.append([x - 1, y])                    if x < len(mine_map) - 1 and mine_map[x + 1][y] == 0:                        possible_moves.append([x + 1, y])                    if y > 0 and mine_map[x][y - 1] == 0:                        possible_moves.append([x, y - 1])                    if y < len(mine_map[0]) - 1 and mine_map[x][y + 1] == 0:                        possible_moves.append([x, y + 1])                    if possible_moves:                        next_move = random.choice(possible_moves)                        return next_move                    return None                                 # 模拟机器人移动                next_move = plan_path()                if next_move:                    current_position = next_move                    print(f"机器人移动到位置: {current_position}")                else:                    print("无可用路径")
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import random                                 # 模拟传感器数据采集                def collect_sensor_data():                    return random.uniform(0, 100)                                 # 数据处理函数                def process_sensor_data(data):                    if data > 80:                        return "危险"                    elif data > 50:                        return "警告"                    else:                        return "正常"                                 # 模拟数据采集和处理                sensor_data = collect_sensor_data()                status = process_sensor_data(sensor_data)                print(f"传感器数据: {sensor_data}, 状态: {status}")
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import time                                 # 模拟瓦斯传感器数据                def get_gas_concentration():                    return random.uniform(0, 10)                                 # 报警函数                def alarm():                    print("瓦斯浓度超标，请注意安全！")                                 # 实时监测                while True:                    gas_concentration = get_gas_concentration()                    if gas_concentration > 5:                        alarm()                    time.sleep(1)
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import socket                                 # 挖掘机器人发送任务信息                def robot_send_task():                    s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)                    s.connect(('localhost', 8888))                    task_info = "挖掘任务完成，等待运输"                    s.send(task_info.encode())                    s.close()                                 # 运输车辆接收任务信息                def vehicle_receive_task():                    s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)                    s.bind(('localhost', 8888))                    s.listen(1)                    conn, addr = s.accept()                    data = conn.recv(1024)                    print(f"运输车辆接收到任务信息: {data.decode()}")                    conn.close()                                 # 模拟协同工作                import threading                t1 = threading.Thread(target=robot_send_task)                t2 = threading.Thread(target=vehicle_receive_task)                t2.start()                t1.start()                t1.join()                t2.join()
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import random                                 # 模拟设备运行数据                def get_device_data():                    return [random.uniform(0, 100) for _ in range(5)]                                 # 故障诊断函数                def diagnose_fault(data):                    if sum(data) > 300:                        return "设备可能存在故障"                    else:                        return "设备运行正常"                                 # 模拟故障诊断                device_data = get_device_data()                diagnosis = diagnose_fault(device_data)                print(f"设备数据: {device_data}, 诊断结果: {diagnosis}")
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