智能循环包裹碰撞强度分析数据

"通过分析智能循环包裹的碰撞强度值，
监控智能循环包裹在运输过程中的碰撞情况，超预警值时触发应对策略，提示货运公司及相关责任人，以便采取相应预防措施，如减震、开箱检查、重新包装或调整运输路线等。
""1、数据来源：采集智能循环包裹的包裹质量M，包裹运输碰撞时的三维加速度X、加速度Y、加速度Z。
2、数据处理：结合具体物品的调整系数A和碰撞预警值，分析整个运输过程中的碰撞强度值，
A*M*{1/N*SUM[(Xi-x)^2+(Yi-y)^2+(Zi-z)^2]}^1/2
得到结果碰撞强度值。n=10，取10次的平均数，加速度XYZ为包裹撞击后，一定时间采样到的振铃最高值，加速度xyz为撞击产生后，一定时间采样到的振铃平均值。调整系数A与碰撞预警值均与具体运输产品相对应，A的系数越高，碰撞预警值越低，物品越容易损坏；反之，A值越低，碰撞预警值越高，物品则越不容易破损。
3、数据应用：通过对商品运输过程中的碰撞强度值进行后台实时监测，结合算法模型即时计算出当前运输状态下的碰撞强度值，与提前预设的预警值进行对比，当碰撞强度值超过预警值时，系统自动触发预警通知，及时告知货运公司和相关责任人，以便采取减震、开箱检查、重新包装或调整运输路线等预防措施。"

By analyzing the collision intensity values of smart reusable parcels, this dataset monitors the collision status of such parcels during transportation. When the collision intensity exceeds the pre-set warning threshold, corresponding response strategies will be triggered to notify freight companies and relevant responsible parties, enabling timely implementation of preventive measures including shock absorption, unpacking inspection, repacking, or adjustment of transportation routes.

1. Data Source: Collect the mass M of the smart reusable parcel, as well as the three-dimensional acceleration values X, Y, and Z when the parcel experiences a collision during transportation.

2. Data Processing: Combine the adjustment coefficient A for specific transported items and the collision warning threshold to analyze the collision intensity value throughout the entire transportation process, using the following formula:
Collision Intensity Value = A × M × √[ (1/N) × Σ( (X_i - x)² + (Y_i - y)² + (Z_i - z)² ) ]
Here, N=10, meaning the average value of 10 consecutive sampling points is calculated. The acceleration values X, Y, Z refer to the peak ringing values sampled within a specified period after the parcel collides, while x, y, z refer to the average ringing values sampled within the same period following the collision. Both the adjustment coefficient A and the collision warning threshold correspond to specific transported goods. A higher A value corresponds to a lower collision warning threshold, indicating that the items are more susceptible to damage; conversely, a lower A value corresponds to a higher collision warning threshold, indicating that the items are less likely to be damaged.

3. Data Application: Perform real-time background monitoring of the collision intensity values during commodity transportation. Utilize algorithm models to instantly calculate the collision intensity value under the current transportation status, and compare it with the pre-configured warning threshold. When the collision intensity value exceeds the warning threshold, the system will automatically trigger an early warning notification to promptly inform freight companies and relevant responsible parties, so that preventive measures such as shock absorption, unpacking inspection, repacking, or adjustment of transportation routes can be taken in a timely manner.