Bluetooth 安卓解析A&;D UC-351PBT-Ci蓝牙数据

Bluetooth 安卓解析A&;D UC-351PBT-Ci蓝牙数据,bluetooth,bluetooth-lowenergy,android-bluetooth,medical,Bluetooth,Bluetooth Lowenergy,Android Bluetooth,Medical,我能够连接到A&D体重秤(UC-351PBT-Ci)并从中获取(蓝牙)原始数据,但无法解析它以从中获取测量的重量。请找到我从体重秤上获得的数据,并帮助我解析它以获得测量值。 E2000032800000000000001002A5079002680000000080008000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000

我能够连接到A&D体重秤(UC-351PBT-Ci)并从中获取(蓝牙)原始数据,但无法解析它以从中获取测量的重量。请找到我从体重秤上获得的数据,并帮助我解析它以获得测量值。 E2000032800000000000001002A507900268000000008000800000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000

这是第二个数据 E7000026002410000101001E0000FFFFFF0D1E0014F0000000000100C0065000100060A4C0002000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000

这是第三个数据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

这是第四个
E600002000020000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000

以您的“第三个数据”为例,输出为

çÀ¾美元
²
Z  ( A&D医疗 UC-351PBT-Ci
ÿþµ
D@-($
5140300102  3.6.8标签-996M(
K
EÀÿÿd U@d

因此,您可以看到,这可能是与数据一起传递的品牌和型号

您只需将每个
字节
分解为其字符串表示形式

StringBuffer结果=新建StringBuffer();
for(字节b:字节){
result.append(String.format(“%02X”,b));
}
返回result.toString();

然后会有文件记录哪个字节代表什么数据位,所以假设有测量日期、重量和重量单位等