Containertrac, Inc.

Other

Mi-jack Products, Inc.

Gregory Keith Warf

Han-Shue Tan

Jihua Huang

Ke-Ren Chuang

Fanping Bu

Larry Henry

Hongjun Song

A system is provided to associate containers with handling equipment (HE) in a container storage facility. In the system an operation detector, such as a twistlock sensor that indicates when a container is picked up or dropped off, is installed on a first HE which is a piece of container handling equipment (CHE) that can lift the container. An event detector, such as a vibration sensor or distance measuring radar, is further installed on a second HE that is a tractor with an attached chassis for receiving and transporting a container. The event detector indicates when a container-operation-related event, such as a container pick up or drop off, occurred on the tractor chassis. The two detectors (operation and event) are used by a processor to associate the container with either the CHE or the tractor. The operation and event detectors can further be used in conjunction with position sensors such as a GPS sensor to accurately determine the position of the tractor and the CHE in a container yard. When the position sensors degrade in performance, an additional motion detector such as a speed sensor can be used to determine the tractor's distance from the CHE to locate an appropriate tractor involved in the operation.

System for associating inventory with handling equipment in shipping container yard inventory transactions

A method automatically detects errors in a container inventory database associated with a container inventory tracking system of a container storage facility. A processor in the inventory tracking system performs a method that: obtains a first data record, identifies an event (e.g., pickup, drop-off, or movement) associated with the first record, provides a list of error types based on the identified event, and determines whether a data error has occurred through a checking process. In each of the checking steps, the processor selects an error type from the list of error types, determines a search criterion based on the selected error type and the first data record, queries the database using the search criterion, compares query results with the first data record to detect data conflicts between them, and upon the detection of the data conflicts, reports that a data error of the selected error type has been detected.

Automatic error detection for inventory tracking and management systems used at a shipping container yard

A method is provided for automatically locating a container in a stowage location of a container ship for loading and unloading of the container ship in container terminals. The method includes the following steps: obtaining the position information of the container ship from container ship positioning units, obtaining the position information of the container from container positioning units when the container is in its stowage location, and determining the stowage location of the container in the container ship by first computing a relative position of the container in the container ship based on both the position information of the container ship and the position information of the container and then correlating the relative position with a stowage plan of the container ship.

Method of automatic positioning for loading and unloading of container ships in container terminals

A system and method is provided for tracking and maintaining a highly accurate inventory of shipping containers that are stored within container storage facilities. The invention includes using multiple complementary real-time and post-processing positioning techniques associated with various positioning sensors that are associated with inventory pieces or equipment. Examples of such positioning techniques are DGPS, GPS with RTK, DGPS loosely-coupled with INS, DGPS tightly-coupled with INS, and DGPS deeply-coupled with INS. Data correction and fusion techniques are applied to these positioning stages to re-compute a calibrated position with an improved accuracy. An additional trajectory can be iteratively determined using the fusing technique until the position data becomes statistically trustworthy. Further, combinations of multiple real-time positioning techniques combined with past position error correction algorithms provide a high accuracy needed for inventory tracking.

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Fairfield, CA, United States of America

Gregory Keith Warf