（九六）ArkCompiler 在智能海洋中的应用：编译优化推动海洋设备性能提升 原创

import random                                 # 模拟传感器数据采集                def collect_data():                    temperature = random.uniform(10, 30)                    salinity = random.uniform(30, 40)                    current_speed = random.uniform(0, 2)                    return temperature, salinity, current_speed                                 # 数据处理函数                def process_data(temperature, salinity, current_speed):                    print(f"水温: {temperature}°C, 盐度: {salinity}‰, 海流速度: {current_speed} m/s")                                 # 模拟数据采集和处理                temperature, salinity, current_speed = collect_data()                process_data(temperature, salinity, current_speed)
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import random                                 # 模拟海洋地图                ocean_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]                                 # 目标位置                target_position = [3, 3]                                 # 路径规划函数                def plan_path():                    possible_moves = []                    x, y = current_position                    if x > 0 and ocean_map[x - 1][y] == 0:                        possible_moves.append([x - 1, y])                    if x < len(ocean_map) - 1 and ocean_map[x + 1][y] == 0:                        possible_moves.append([x + 1, y])                    if y > 0 and ocean_map[x][y - 1] == 0:                        possible_moves.append([x, y - 1])                    if y < len(ocean_map[0]) - 1 and ocean_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                while current_position != target_position:                    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")                        break
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import time                                 # 模拟传感器数据采集                def collect_data():                    temperature = random.uniform(10, 30)                    return temperature                                 # 警报函数                def alarm():                    print("警告：水温异常！")                                 # 实时监测                while True:                    temperature = collect_data()                    if temperature > 25:                        alarm()                    time.sleep(1)
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# 模拟电池电量                battery_level = 100                                 # 数据采集和传输函数                def collect_and_transmit():                    global battery_level                    if battery_level > 10:                        battery_level -= 1                        print(f"采集并传输数据，当前电量: {battery_level}%")                    else:                        print("电量不足，停止采集和传输。")                                 # 模拟数据采集和传输过程                for _ in range(20):                    collect_and_transmit()
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