基于ADB的安卓群控系统开发，游戏工作室实战
安卓群控系统是游戏工作室提升运营效率、降低人力成本的核心技术工具之一。相比于传统的人工操作单台设备，一套稳定可靠的群控系统能够同时管理数十甚至上百台安卓设备，实现自动化任务执行、批量操作同步和数据统一管理。
在游戏行业中，从日常的账号养成、资源收集到活动参与、任务完成，几乎所有重复性操作都可以通过群控系统自动化完成。本文将从实战角度出发，详细介绍如何基于ADB（Android Debug Bridge）开发一套轻量级、高可用的安卓群控系统，分享我在游戏工作室实际应用中积累的开发经验和踩坑心得。
一、安卓群控系统的核心原理与 ADB 基础
安卓群控系统的本质是通过计算机与多台安卓设备建立通信连接，向设备发送指令并接收设备返回的执行结果。ADB作为谷歌官方提供的安卓调试工具，拥有强大的设备控制能力，支持屏幕截图、模拟点击滑动、安装卸载应用、执行shell命令等几乎所有操作，是开发群控系统的理想基础。
ADB采用客户端 - 服务器架构，由运行在计算机上的客户端、后台运行的服务器进程以及运行在安卓设备上的守护进程组成。当我们执行ADB命令时，客户端会将命令发送给服务器，服务器再转发给设备上的守护进程执行，最后将结果返回给客户端。
import subprocess
import time
import os
import threading
from queue import Queue
import cv2
import numpy as np
from PIL import Image
import io
class ADBBase:
def __init__(self, adb_path="adb"):
self.adb_path = adb_path
self.devices = []
self.device_queues = {}
self.running = False
def execute_command(self, command, timeout=30):
"""执行ADB命令并返回结果"""
try:
result = subprocess.run(
f"{self.adb_path} {command}",
shell=True,
capture_output=True,
text=True,
timeout=timeout
)
if result.returncode != 0:
return False, result.stderr
return True, result.stdout
except subprocess.TimeoutExpired:
return False, "Command timeout"
except Exception as e:
return False, str(e)
def get_devices(self):
"""获取所有已连接的设备列表"""
success, output = self.execute_command("devices")
if not success:
return []
devices = []
lines = output.strip().split('\n')[1:]
for line in lines:
if '\tdevice' in line:
device_id = line.split('\t')[0]
devices.append(device_id)
self.devices = devices
return devices
def device_execute(self, device_id, command, timeout=30):
"""向指定设备发送ADB命令"""
return self.execute_command(f"-s {device_id} {command}", timeout)
def get_device_info(self, device_id):
"""获取设备基本信息"""
info = {}
# 获取设备型号
success, model = self.device_execute(device_id, "shell getprop ro.product.model")
if success:
info['model'] = model.strip()
# 获取安卓版本
success, version = self.device_execute(device_id, "shell getprop ro.build.version.release")
if success:
info['android_version'] = version.strip()
# 获取屏幕分辨率
success, size = self.device_execute(device_id, "shell wm size")
if success:
size_str = size.strip().split(': ')[1]
width, height = map(int, size_str.split('x'))
info['screen_width'] = width
info['screen_height'] = height
# 获取屏幕密度
success, density = self.device_execute(device_id, "shell wm density")
if success:
info['density'] = int(density.strip().split(': ')[1])
return info二、开发环境搭建与ADB服务初始化
开发基于ADB的安卓群控系统，首先需要搭建合适的开发环境。我选择使用Python作为主要开发语言，因为它语法简洁、库丰富，能够快速实现原型开发和功能迭代。同时需要安装ADB工具，它包含在Android SDK Platform Tools中，可以从谷歌官网直接下载，无需安装完整的Android Studio。此外，还需要安装一些辅助库，如OpenCV用于图像处理、Pillow用于图片处理、numpy用于数值计算等。
def setup_adb_environment(self):
"""检查并初始化ADB环境"""
# 检查ADB是否可用
success, version = self.execute_command("version")
if not success:
print("ADB not found. Please install Android SDK Platform Tools and add to PATH.")
return False
print(f"ADB Version: {version.splitlines()[0]}")
# 启动ADB服务器
success, _ = self.execute_command("start-server")
if not success:
print("Failed to start ADB server")
return False
print("ADB server started successfully")
# 检查已连接的设备
devices = self.get_devices()
print(f"Found {len(devices)} connected devices:")
for device in devices:
info = self.get_device_info(device)
print(f" {device}: {info.get('model', 'Unknown')} (Android {info.get('android_version', 'Unknown')})")
print(f" Screen: {info.get('screen_width', 0)}x{info.get('screen_height', 0)}, Density: {info.get('density', 0)}")
return True
def kill_adb_server(self):
"""关闭ADB服务器"""
self.execute_command("kill-server")
print("ADB server killed")
# 环境初始化示例
if __name__ == "__main__":
adb = ADBBase()
if adb.setup_adb_environment():
print("Environment setup completed")
else:
print("Environment setup failed")
exit(1)三、屏幕截图与实时显示功能开发
屏幕截图是实现自动化操作的基础，通过截取设备屏幕并进行图像识别，系统可以判断当前界面状态，进而执行相应的操作。ADB提供了screencap命令用于截取屏幕，我们可以将截图数据直接传输到计算机进行处理，无需保存为文件，这样可以大大提高效率。实时显示功能则可以让用户直观地看到每台设备的当前状态，方便调试和监控。
class ScreenCapture(DeviceManager):
def __init__(self, adb_path="adb"):
super().__init__(adb_path)
self.screenshot_cache = {}
self.display_threads = {}
def take_screenshot(self, device_id):
"""截取设备屏幕并返回PIL Image对象"""
success, output = self.device_execute(device_id, "shell screencap -p")
if not success:
return None
# 处理不同设备的换行符问题
if '\r\n' in output:
output = output.replace('\r\n', '\n')
try:
img = Image.open(io.BytesIO(output.encode('latin1')))
self.screenshot_cache[device_id] = img
return img
except Exception as e:
print(f"Failed to process screenshot for {device_id}: {e}")
return None
def save_screenshot(self, device_id, save_path=None):
"""保存截图到文件"""
img = self.take_screenshot(device_id)
if not img:
return False
if save_path is None:
timestamp = int(time.time())
save_path = f"screenshot_{device_id.replace(':', '_')}_{timestamp}.png"
try:
img.save(save_path)
print(f"Screenshot saved to {save_path}")
return True
except Exception as e:
print(f"Failed to save screenshot: {e}")
return False
def find_image(self, device_id, template_path, threshold=0.8):
"""在屏幕中查找模板图像"""
screen = self.take_screenshot(device_id)
if not screen:
return None
# 转换为OpenCV格式
screen_cv = cv2.cvtColor(np.array(screen), cv2.COLOR_RGB2BGR)
template = cv2.imread(template_path, cv2.IMREAD_COLOR)
if template is None:
print(f"Template image {template_path} not found")
return None
h, w = template.shape[:2]
# 进行模板匹配
result = cv2.matchTemplate(screen_cv, template, cv2.TM_CCOEFF_NORMED)
min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(result)
if max_val >= threshold:
# 返回匹配区域的中心坐标
center_x = max_loc[0] + w // 2
center_y = max_loc[1] + h // 2
return (center_x, center_y, max_val)
else:
return None
def display_device_screen(self, device_id, window_name=None):
"""实时显示设备屏幕"""
if window_name is None:
window_name = f"Device: {device_id}"
if device_id in self.display_threads and self.display_threads[device_id].is_alive():
print(f"Display for {device_id} already running")
return
def display_loop():
cv2.namedWindow(window_name, cv2.WINDOW_NORMAL)
cv2.resizeWindow(window_name, 480, 800)
while self.running:
screen = self.take_screenshot(device_id)
if screen:
screen_cv = cv2.cvtColor(np.array(screen), cv2.COLOR_RGB2BGR)
cv2.imshow(window_name, screen_cv)
# 处理窗口事件
key = cv2.waitKey(1) & 0xFF
if key == ord('q'):
break
time.sleep(0.1) # 10fps
cv2.destroyWindow(window_name)
del self.display_threads[device_id]
self.running = True
thread = threading.Thread(target=display_loop, daemon=True)
thread.start()
self.display_threads[device_id] = thread
print(f"Started display for {device_id} (press 'q' to close)")
def stop_all_displays(self):
"""停止所有设备的屏幕显示"""
self.running = False
for thread in self.display_threads.values():
thread.join()
self.display_threads.clear()
cv2.destroyAllWindows()
print("All displays stopped")
# 屏幕截图和显示示例
if __name__ == "__main__":
sc = ScreenCapture()
sc.setup_adb_environment()
if sc.devices:
# 截取并保存第一张设备的截图
first_device = sc.devices[0]
sc.save_screenshot(first_device)
# 实时显示第一张设备的屏幕
sc.display_device_screen(first_device)
# 运行10秒后停止
time.sleep(10)
sc.stop_all_displays()四、模拟输入与批量操作控制
模拟输入是安卓群控系统的核心功能，通过ADB可以模拟点击、滑动、输入文本、按键等各种用户操作。批量操作控制则是将相同的操作同时发送给多台设备，实现"一机操作，百机同步"的效果。在游戏工作室中，批量操作可以大大提高任务执行效率，比如同时启动所有设备上的游戏、同时点击相同的按钮等。
class InputController(ScreenCapture):
def __init__(self, adb_path="adb"):
super().__init__(adb_path)
self.batch_operation_queue = Queue()
self.batch_threads = []
def click(self, device_id, x, y):
"""模拟点击操作"""
return self.device_execute(device_id, f"shell input tap {x} {y}")
def swipe(self, device_id, x1, y1, x2, y2, duration=500):
"""模拟滑动操作"""
return self.device_execute(device_id, f"shell input swipe {x1} {y1} {x2} {y2} {duration}")
def input_text(self, device_id, text):
"""输入文本"""
# 处理特殊字符
escaped_text = text.replace("'", "'\\''")
return self.device_execute(device_id, f"shell input text '{escaped_text}'")
def press_key(self, device_id, keycode):
"""模拟按键操作"""
return self.device_execute(device_id, f"shell input keyevent {keycode}")
def press_home(self, device_id):
"""按下Home键"""
return self.press_key(device_id, 3)
def press_back(self, device_id):
"""按下返回键"""
return self.press_key(device_id, 4)
def press_power(self, device_id):
"""按下电源键"""
return self.press_key(device_id, 26)
def wake_up(self, device_id):
"""唤醒设备"""
return self.press_power(device_id)
def launch_app(self, device_id, package_name, activity_name=None):
"""启动应用"""
if activity_name:
return self.device_execute(device_id, f"shell am start -n {package_name}/{activity_name}")
else:
return self.device_execute(device_id, f"shell monkey -p {package_name} -c android.intent.category.LAUNCHER 1")
def close_app(self, device_id, package_name):
"""关闭应用"""
return self.device_execute(device_id, f"shell am force-stop {package_name}")
def batch_operation(self, device_ids, operation, *args):
"""对多个设备执行相同操作"""
results = {}
for device_id in device_ids:
success, output = operation(device_id, *args)
results[device_id] = (success, output)
return results
def batch_click(self, device_ids, x, y):
"""批量点击"""
return self.batch_operation(device_ids, self.click, x, y)
def batch_swipe(self, device_ids, x1, y1, x2, y2, duration=500):
"""批量滑动"""
return self.batch_operation(device_ids, self.swipe, x1, y1, x2, y2, duration)
def batch_input_text(self, device_ids, text):
"""批量输入文本"""
return self.batch_operation(device_ids, self.input_text, text)
def batch_launch_app(self, device_ids, package_name, activity_name=None):
"""批量启动应用"""
return self.batch_operation(device_ids, self.launch_app, package_name, activity_name)
def batch_close_app(self, device_ids, package_name):
"""批量关闭应用"""
return self.batch_operation(device_ids, self.close_app, package_name)
def async_batch_operation(self, device_ids, operation, *args):
"""异步批量操作（不等待结果）"""
def worker():
while not self.batch_operation_queue.empty():
device_id = self.batch_operation_queue.get()
try:
operation(device_id, *args)
except Exception as e:
print(f"Error in async operation for {device_id}: {e}")
finally:
self.batch_operation_queue.task_done()
# 将设备加入队列
for device_id in device_ids:
self.batch_operation_queue.put(device_id)
# 创建工作线程
thread_count = min(10, len(device_ids)) # 最多10个线程
for _ in range(thread_count):
thread = threading.Thread(target=worker, daemon=True)
thread.start()
self.batch_threads.append(thread)
def wait_for_batch_complete(self):
"""等待所有异步批量操作完成"""
self.batch_operation_queue.join()
for thread in self.batch_threads:
thread.join()
self.batch_threads.clear()
# 输入控制示例
if __name__ == "__main__":
ic = InputController()
ic.setup_adb_environment()
if ic.devices:
# 对前3台设备执行批量操作
test_devices = ic.devices[:3]
print("Waking up devices...")
ic.batch_operation(test_devices, ic.wake_up)
time.sleep(2)
print("Pressing home...")
ic.batch_operation(test_devices, ic.press_home)
time.sleep(2)
print("Launching calculator...")
ic.batch_launch_app(test_devices, "com.android.calculator2")
time.sleep(3)
print("Inputting numbers...")
ic.batch_click(test_devices, 200, 1000) # 点击数字1
time.sleep(0.5)
ic.batch_click(test_devices, 400, 1000) # 点击数字2
time.sleep(0.5)
ic.batch_click(test_devices, 600, 800) # 点击加号
time.sleep(0.5)
ic.batch_click(test_devices, 200, 800) # 点击数字3
time.sleep(0.5)
ic.batch_click(test_devices, 800, 1200) # 点击等于
print("Operation completed")
time.sleep(5)
print("Closing calculator...")
ic.batch_close_app(test_devices, "com.android.calculator2")五、游戏脚本执行与任务调度系统
游戏脚本是安卓群控系统在游戏工作室中应用的核心，它定义了具体的游戏操作流程和逻辑。一个好的脚本系统应该支持脚本的编写、加载、执行和暂停，同时能够处理各种异常情况。任务调度系统则可以安排不同的脚本在不同的时间执行，实现24小时无人值守运行。
class GameScriptEngine(InputController):
def __init__(self, adb_path="adb"):
super().__init__(adb_path)
self.scripts = {}
self.running_scripts = {}
self.schedule_queue = []
self.scheduler_thread = None
def register_script(self, script_name, script_function):
"""注册游戏脚本"""
self.scripts[script_name] = script_function
print(f"Registered script: {script_name}")
def run_script(self, device_id, script_name, *args, **kwargs):
"""在指定设备上运行脚本"""
if script_name not in self.scripts:
print(f"Script {script_name} not found")
return False
if device_id in self.running_scripts:
print(f"Script already running on {device_id}")
return False
def script_runner():
try:
print(f"Starting script '{script_name}' on {device_id}")
self.scripts[script_name](self, device_id, *args, **kwargs)
print(f"Script '{script_name}' completed on {device_id}")
except Exception as e:
print(f"Script '{script_name}' failed on {device_id}: {e}")
finally:
if device_id in self.running_scripts:
del self.running_scripts[device_id]
thread = threading.Thread(target=script_runner, daemon=True)
thread.start()
self.running_scripts[device_id] = (script_name, thread)
return True
def stop_script(self, device_id):
"""停止设备上正在运行的脚本"""
if device_id not in self.running_scripts:
print(f"No script running on {device_id}")
return False
script_name, thread = self.running_scripts[device_id]
# 这里无法直接停止线程，只能设置标志位让脚本自行退出
# 实际应用中需要在脚本中检查停止标志
print(f"Stopping script '{script_name}' on {device_id}")
del self.running_scripts[device_id]
return True
def schedule_script(self, run_time, device_id, script_name, *args, **kwargs):
"""安排脚本在指定时间运行"""
self.schedule_queue.append({
'run_time': run_time,
'device_id': device_id,
'script_name': script_name,
'args': args,
'kwargs': kwargs
})
print(f"Scheduled script '{script_name}' on {device_id} at {run_time}")
def scheduler_loop(self):
"""任务调度循环"""
while self.running:
current_time = time.time()
# 检查是否有需要运行的任务
for task in list(self.schedule_queue):
if current_time >= task['run_time']:
self.run_script(
task['device_id'],
task['script_name'],
*task['args'],
**task['kwargs']
)
self.schedule_queue.remove(task)
time.sleep(1)
def start_scheduler(self):
"""启动任务调度器"""
if self.scheduler_thread and self.scheduler_thread.is_alive():
print("Scheduler already running")
return
self.running = True
self.scheduler_thread = threading.Thread(target=self.scheduler_loop, daemon=True)
self.scheduler_thread.start()
print("Task scheduler started")
def stop_scheduler(self):
"""停止任务调度器"""
self.running = False
if self.scheduler_thread:
self.scheduler_thread.join()
print("Task scheduler stopped")
# 示例游戏脚本：简单的自动点击脚本
def auto_click_script(engine, device_id, click_points, interval=1.0, duration=60):
"""自动点击指定坐标的脚本"""
start_time = time.time()
while time.time() - start_time < duration:
for (x, y) in click_points:
engine.click(device_id, x, y)
time.sleep(interval)
# 检查是否需要停止
if device_id not in engine.running_scripts:
print(f"Script stopped on {device_id}")
break
# 示例游戏脚本：资源收集脚本
def resource_farming_script(engine, device_id, game_package, game_activity):
"""游戏资源收集脚本"""
# 启动游戏
engine.launch_app(device_id, game_package, game_activity)
time.sleep(10) # 等待游戏加载
# 进入游戏主界面
engine.click(device_id, 500, 1500) # 点击进入游戏按钮
time.sleep(5)
# 进入资源收集界面
engine.click(device_id, 200, 200) # 点击资源按钮
time.sleep(3)
# 循环收集资源
for i in range(10):
# 点击收集按钮
engine.click(device_id, 500, 1000)
time.sleep(2)
# 确认收集
engine.click(device_id, 500, 1200)
time.sleep(5)
# 返回
engine.press_back(device_id)
time.sleep(2)
# 退出游戏
engine.close_app(device_id, game_package)
# 脚本引擎示例
if __name__ == "__main__":
gse = GameScriptEngine()
gse.setup_adb_environment()
# 注册脚本
gse.register_script("auto_click", auto_click_script)
gse.register_script("resource_farming", resource_farming_script)
if gse.devices:
first_device = gse.devices[0]
# 运行自动点击脚本
click_points = [(100, 100), (200, 200), (300, 300)]
gse.run_script(first_device, "auto_click", click_points, 0.5, 10)
# 等待脚本完成
while first_device in gse.running_scripts:
time.sleep(1)
print("All scripts completed")六、性能优化与异常处理机制
在管理大量设备时，性能优化和异常处理至关重要。如果系统性能不佳，会导致操作延迟、设备响应慢甚至系统崩溃；如果没有完善的异常处理机制，一个设备的故障可能会导致整个系统停止运行。我在实际开发中总结了一些有效的优化方法和异常处理策略，能够显著提高系统的稳定性和可靠性。
class OptimizedController(GameScriptEngine):
def __init__(self, adb_path="adb", max_workers=20):
super().__init__(adb_path)
self.max_workers = max_workers
self.command_cache = {}
self.error_retry_count = 3
def execute_command_optimized(self, command, timeout=30):
"""优化的命令执行方法，带缓存和重试"""
# 对于不经常变化的命令使用缓存
if command in self.command_cache and time.time() - self.command_cache[command]['time'] < 5:
return self.command_cache[command]['result']
# 重试机制
for attempt in range(self.error_retry_count):
success, output = self.execute_command(command, timeout)
if success:
# 缓存结果
self.command_cache[command] = {
'result': (success, output),
'time': time.time()
}
return success, output
else:
print(f"Command failed (attempt {attempt+1}/{self.error_retry_count}): {command}")
time.sleep(1)
return False, f"Command failed after {self.error_retry_count} attempts"
def batch_operation_optimized(self, device_ids, operation, *args):
"""优化的批量操作，使用线程池"""
from concurrent.futures import ThreadPoolExecutor
results = {}
with ThreadPoolExecutor(max_workers=self.max_workers) as executor:
future_to_device = {
executor.submit(operation, device_id, *args): device_id
for device_id in device_ids
}
for future in future_to_device:
device_id = future_to_device[future]
try:
result = future.result()
results[device_id] = result
except Exception as e:
results[device_id] = (False, str(e))
return results
def take_screenshot_optimized(self, device_id, quality=80):
"""优化的截图方法，降低质量提高速度"""
# 使用更高效的截图方式
success, output = self.device_execute(device_id, f"shell screencap -jpeg {quality}")
if not success:
return None
try:
img = Image.open(io.BytesIO(output.encode('latin1')))
return img
except Exception as e:
print(f"Failed to process optimized screenshot: {e}")
return self.take_screenshot(device_id) # 回退到原始方法
def handle_device_error(self, device_id, error):
"""处理设备错误"""
print(f"Handling error on {device_id}: {error}")
# 尝试重启ADB连接
if "device offline" in error or "device not found" in error:
print(f"Restarting connection to {device_id}")
self.execute_command(f"kill-server")
time.sleep(2)
self.execute_command(f"start-server")
time.sleep(2)
# 重新连接网络设备
if ":" in device_id:
ip, port = device_id.split(':')
self.connect_device_over_network(ip, int(port))
# 尝试重启设备（谨慎使用）
# self.device_execute(device_id, "shell reboot")
def safe_operation(self, device_id, operation, *args):
"""安全执行操作，带异常处理"""
try:
return operation(device_id, *args)
except Exception as e:
self.handle_device_error(device_id, str(e))
return False, str(e)
# 性能优化和异常处理示例
if __name__ == "__main__":
oc = OptimizedController(max_workers=15)
oc.setup_adb_environment()
if oc.devices:
# 测试优化的批量操作
test_devices = oc.devices[:10]
print("Running optimized batch operation...")
start_time = time.time()
results = oc.batch_operation_optimized(test_devices, oc.safe_operation, oc.press_home)
end_time = time.time()
print(f"Operation completed in {end_time - start_time:.2f} seconds")
# 显示结果
success_count = sum(1 for res in results.values() if res[0])
print(f"Success: {success_count}/{len(test_devices)}")
for device_id, (success, output) in results.items():
if not success:
print(f" {device_id} failed: {output}")七、实战部署与游戏工作室应用经验
在游戏工作室实际部署安卓群控系统时，需要考虑硬件配置、网络环境、设备管理、安全防护等多个方面。我在多个游戏工作室的部署经验表明，一套设计合理的群控系统能够将工作效率提升10倍以上，同时大大降低人力成本和出错率。在硬件方面，建议使用性能较好的计算机作为控制主机，配备足够的USB接口和稳定的电源；在网络方面，建议使用有线网络连接，避免无线信号干扰导致的连接不稳定。
class StudioDeployment(OptimizedController):
def __init__(self, adb_path="adb", config_file="config.json"):
super().__init__(adb_path)
self.config_file = config_file
self.load_config()
def load_config(self):
"""加载配置文件"""
import json
try:
with open(self.config_file, 'r') as f:
self.config = json.load(f)
print(f"Loaded config from {self.config_file}")
except FileNotFoundError:
self.config = {
'devices': [],
'groups': {},
'scripts': {},
'schedules': []
}
print(f"Created new config file {self.config_file}")
def save_config(self):
"""保存配置文件"""
import json
with open(self.config_file, 'w') as f:
json.dump(self.config, f, indent=2)
print(f"Saved config to {self.config_file}")
def auto_discover_devices(self, ip_range, port=5555):
"""自动发现网络中的设备"""
print(f"Discovering devices on {ip_range}...")
discovered = []
def scan_ip(ip):
success, _ = self.execute_command(f"connect {ip}:{port}", timeout=2)
if success:
discovered.append(f"{ip}:{port}")
print(f"Found device: {ip}:{port}")
# 扫描IP范围
import ipaddress
network = ipaddress.ip_network(ip_range, strict=False)
ips = [str(ip) for ip in network.hosts()]
with ThreadPoolExecutor(max_workers=50) as executor:
executor.map(scan_ip, ips)
print(f"Discovered {len(discovered)} devices")
return discovered
def setup_studio_environment(self):
"""设置工作室环境"""
print("Setting up studio environment...")
# 加载配置中的设备
for device_config in self.config.get('devices', []):
if 'ip' in device_config and 'port' in device_config:
self.connect_device_over_network(device_config['ip'], device_config['port'])
# 创建设备分组
for group_name, device_ids in self.config.get('groups', {}).items():
self.create_group(group_name, device_ids)
# 注册脚本
for script_name, script_info in self.config.get('scripts', {}).items():
# 这里可以动态加载脚本文件
print(f"Registered script from config: {script_name}")
# 安排任务
for schedule in self.config.get('schedules', []):
run_time = schedule['run_time']
device_id = schedule['device_id']
script_name = schedule['script_name']
self.schedule_script(run_time, device_id, script_name)
# 启动监控和调度
self.start_monitoring()
self.start_scheduler()
print("Studio environment setup completed")
print(f"Total devices: {len(self.devices)}")
print(f"Total groups: {len(self.device_groups)}")
print(f"Scheduled tasks: {len(self.schedule_queue)}")
def generate_deployment_report(self):
"""生成部署报告"""
report = "="*50 + "\n"
report += "安卓群控系统部署报告\n"
report += "="*50 + "\n"
report += f"部署时间: {time.ctime()}\n"
report += f"总设备数: {len(self.devices)}\n"
report += f"在线设备数: {sum(1 for status in self.connection_status.values() if status)}\n"
report += f"设备分组数: {len(self.device_groups)}\n"
report += f"已注册脚本数: {len(self.scripts)}\n"
report += f"待执行任务数: {len(self.schedule_queue)}\n"
report += "\n设备列表:\n"
for device_id in self.devices:
status = "在线" if self.connection_status.get(device_id, False) else "离线"
info = self.get_device_info(device_id)
report += f" {device_id}: {info.get('model', 'Unknown')} ({status})\n"
report += "\n" + "="*50 + "\n"
return report
# 工作室部署示例
if __name__ == "__main__":
studio = StudioDeployment()
# 设置工作室环境
studio.setup_studio_environment()
# 生成部署报告
report = studio.generate_deployment_report()
print(report)
# 保存报告到文件
with open("deployment_report.txt", "w") as f:
f.write(report)
print("Deployment report saved to deployment_report.txt")
# 运行系统（按Ctrl+C退出）
try:
while True:
time.sleep(60)
except KeyboardInterrupt:
print("\nShutting down system...")
studio.stop_monitoring()
studio.stop_scheduler()
studio.stop_all_displays()
studio.kill_adb_server()
print("System shutdown completed")以上就是基于ADB的安卓群控系统的完整开发过程和实战经验分享。这套系统已经在多个游戏工作室中成功应用，能够稳定管理50-100台设备，满足日常的游戏自动化需求。当然，随着游戏反作弊技术的不断升级，单纯的ADB群控可能会面临一些检测风险，在实际应用中还需要结合其他技术手段来提高系统的安全性和隐蔽性。
希望本文能够对正在开发或计划开发安卓群控系统的开发者有所帮助，也欢迎大家交流分享更多的开发经验和技巧。