Method for analyzing and assigning probable cause to shocks experienced by shipping containers
AssigneeHitachi, Ltd.
InventorsLin MENG, Arnab CHAKRABARTI
Life of this patent
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Abstract
The world's cargo is transported in shipping containers. Historically, there has been little visibility into cargo once it goes inside a container. Breakable cargo, such as glass, is sometimes damaged in shipping. Sensors can be used to measure shocks experienced by the container in transit. The present disclosure presents systems and methods for analyzing such shocks into shock clusters and outliers. The present disclosure also proposes a way to assign probable cause to the shocks in each cluster based on prior knowledge of shock causes. The nature of shock data presents nuances that contribute to the uniqueness of the example implementations herein.
Claims12
A method, comprising:
- for receipt of a plurality of sensor data points associated with one or more sensors of a shipping container, each of the plurality of sensor data points representative of one or more shock measurements at a particular time:
- executing a clustering algorithm on the plurality of sensor data points to generate one or more clusters for one or more of the plurality of sensor data points, the clustering algorithm configured to identify ones of the plurality of sensor data points not meeting a threshold probability of belonging to any of the one or more clusters as outliers;
- and
- labeling the one or more clusters and the outliers with an associated shock cause based on a comparison of probability density functions of the one or more clusters and the outliers with historical probability density functions associated with shock causes.
A non-transitory computer readable medium, storing instructions for executing a process, the instructions comprising:
- for receipt of a plurality of sensor data points associated with one or more sensors of a shipping container, each of the plurality of sensor data points representative of one or more shock measurements at a particular time:
- executing a clustering algorithm on the plurality of sensor data points to generate one or more clusters for one or more of the plurality of sensor data points, the clustering algorithm configured to identify ones of the plurality of sensor data points not meeting a threshold probability of belonging to any of the one or more clusters as outliers;
- and
- labeling the one or more clusters and the outliers with an associated shock cause based on a comparison of probability density functions of the one or more clusters and the outliers with historical probability density functions associated with shock causes.
An apparatus, comprising:
- a processor, configured to:
- for receipt of a plurality of sensor data points associated with one or more sensors of a shipping container, each of the plurality of sensor data points representative of one or more shock measurements at a particular time:
- execute a clustering algorithm on the plurality of sensor data points to generate one or more clusters for one or more of the plurality of sensor data points, the clustering algorithm configured to identify ones of the plurality of sensor data points not meeting a threshold probability of belonging to any of the one or more clusters as outliers;
- and
- label the one or more clusters and the outliers with an associated shock cause based on a comparison of probability density functions of the one or more clusters and the outliers with historical probability density functions associated with shock causes.
Dependencies are inferred from the claim text.