基础依赖安装
pip install opencv-python numpy android-sensor
 Android设备驱动配置（需Android Studio 4.0+）
echo "termux-scale=1" >> /data/termux-termuxperties

import sys
import cv2
from android_sensors import SensorManager

class HardwareTester:
    def __init__(self):
        self.sensor_manager = SensorManager()
        self.camera = cv2.VideoCapture(0)
        self.battery = self._init_battery_monitor()
        
    def _init_battery_monitor(self):
         通过Android API获取电池信息
        battery = sys.argv[1]   需终端注入参数
        return BatteryHealth(battery)
    
    def run_diagnostic(self):
         多线程并行检测
        threads = [
            self._cameraCalibration(),
            self._gravitySensorTest(),
            self._batteryHealthCheck()
        ]
        for t in threads:
            t.start()
        for t in threads:
            t.join()
            
         生成检测报告
        report = {
            "camera": self.camera_status,
            "sensor": self.sensor_status,
            "battery": self.battery健康度
        }
        return json.dumps(report, indent=2)

def main():
    tester = HardwareTester()
    print(tester.run_diagnostic())

class BatteryHealth:
    def __init__(self, battery_path):
        self.battery = open(battery_path, 'r')
        
    def get_health(self):
        data = self.battery.read().split(',')
        return round(int(data[3])/100, 2)   电压基准值0.6V
    
    def warning(self):
        if self.get_health() < 0.55:
            return "紧急更换电池"
        elif self.get_health() < 0.65:
            return "建议3个月内更换"
        else:
            return "电池状态正常"

def cameraCalibration(width=1080, height=1920):
     使用棋盘格标定法
    patternsize = (9,6)
    criteria = (cv2.TERMCRITERIA_EPS + cv2.TERMCRITERIA_MAX_ITER, 30, 0.001)
    
    while True:
        ret, frame = camera.read()
        gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
        
         找到标定板角点
        ret, corners, _ = cv2.calibratePattern(gray, patternsize, criteria)
        if ret:
            camera_status = "正常"
            break
        else:
            camera_status = "镜头畸变严重"
    
    return camera_status

def gravitySensorTest():
    sensor = SensorManager.SENSOR_GYROSCOPE
    data = []
    
    for _ in range(100):
        event = sensor.getEvent()
        x = event.values[0]
        y = event.values[1]
        z = event.values[2]
        data.append([x,y,z])
        
     计算三轴标准差
    std_x = np.std(data[:,0])
    std_y = np.std(data[:,1])
    std_z = np.std(data[:,2])
    
    if max(std_x, std_y, std_z) > 0.15:
        return "传感器校准失败"
    else:
        return "传感器状态正常"

 批量检测流水线配置（Spring Boot框架）
@RestController
@RequestMapping("/api/hardware")
public class HardwareController {
    
    @PostMapping("/batch")
    public ResponseEntity<String> batchTesting(
        @RequestParam List<Integer> devices,
        @RequestParam String testType
    ) {
        // 启动分布式任务
        return ResponseEntity.ok(
            TaskExecutor.submit(new HardwareBatchTask(devices, testType)).toString()
        );
    }
}

 错误1：摄像头权限未开启
 raise RuntimeError("请授权摄像头访问权限")

 错误2：传感器驱动加载失败
 raise ModuleNotFoundError("缺少传感器驱动模块")

 错误3：电池路径错误
 raise FileNotFoundError("电池状态文件不存在")

// 检测数据上链示例（Hyperledger Fabric）
contract HardwareBlock {
    bytes32[] blocks;
    
    function addBlock(bytes memory data) public {
        bytes32 hash = keccak256(data);
        blocks.push(hash);
    }
}

 手机硬件检测报告

 设备信息
- 型号：Xiaomi 12S Pro
- 固件版本：V184.56.0.0.MBXMIXM
- 检测时间：-11-15 14:30

 检测项目
| 项目          | 状态    | 值               |
|---------------|---------|------------------|
| 电池健康度    | 合格    | 82%              |
| 摄像头畸变    | 需校准  | 0.38°           |
|陀螺仪精度    | 正常    | ±0.15°          |

 维修建议
1. 建议校准后置摄像头畸变
2. 电池健康度接近警戒值，建议更换
3. 陀螺仪数据稳定，无需处理