17947779. SYSTEMS AND METHODS FOR MONITORING AND ADJUSTING OPERATION OF A MOVER SYSTEM simplified abstract (Rockwell Automation Technologies, Inc.)
Contents
- 1 SYSTEMS AND METHODS FOR MONITORING AND ADJUSTING OPERATION OF A MOVER SYSTEM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYSTEMS AND METHODS FOR MONITORING AND ADJUSTING OPERATION OF A MOVER SYSTEM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
SYSTEMS AND METHODS FOR MONITORING AND ADJUSTING OPERATION OF A MOVER SYSTEM
Organization Name
Rockwell Automation Technologies, Inc.
Inventor(s)
Bijan Sayyarrodsari of Austin TX (US)
Jakob Methfessel of Muskego WI (US)
Shankha S. Seal of Milwaukee WI (US)
SYSTEMS AND METHODS FOR MONITORING AND ADJUSTING OPERATION OF A MOVER SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 17947779 titled 'SYSTEMS AND METHODS FOR MONITORING AND ADJUSTING OPERATION OF A MOVER SYSTEM
Simplified Explanation
The patent application abstract describes a computer-readable medium that can analyze data from a mover system to detect anomalies and adjust the system's operation accordingly.
- The instructions on the computer-readable medium are designed to:
* Receive a first dataset related to a mover system with multiple mover assemblies on a track. * Identify a subset of the first dataset representing normal operation based on state data. * Receive a second dataset with differences from the subset. * Determine if the second dataset indicates an anomaly state using an anomaly signature dataset. * Adjust the mover system's operation if the second dataset corresponds to the anomaly signature dataset.
Potential Applications
This technology could be applied in various industries where automated systems with multiple moving parts are used, such as manufacturing, logistics, and transportation.
Problems Solved
This innovation helps in early detection of anomalies in mover systems, preventing potential breakdowns or accidents that could result from faulty operation.
Benefits
- Improved system reliability and safety
- Reduced downtime and maintenance costs
- Enhanced efficiency in system operation
Potential Commercial Applications
"Enhancing Mover System Efficiency and Safety: Applications in Manufacturing and Logistics"
Possible Prior Art
There may be prior art related to anomaly detection systems in industrial automation, but specific examples are not provided in this context.
Unanswered Questions
How does the system differentiate between different types of anomalies in the mover system?
The abstract does not specify how the system categorizes anomalies or if it can distinguish between various types of issues.
What is the process for updating the anomaly signature dataset to adapt to new anomalies?
The abstract does not mention how the system learns and updates its anomaly signature dataset over time to recognize new anomalies.
Original Abstract Submitted
A non-transitory computer-readable medium includes instructions that, when executed by processing circuitry, are configured to cause the processing circuitry to receive a first dataset associated with a mover system having a track and a plurality of mover assemblies independently movable along the track, identify a subset of the first dataset associated with a normal operating state of the mover system based on state data associated with the mover system, receive a second dataset associated with the mover system after receiving the first dataset and having a first set of differences from the subset of the first dataset, determine whether the second dataset is indicative of an anomaly state of the mover system based on a relationship between an anomaly signature dataset and the second dataset, and adjusting operation of the mover system in response to determining that the second dataset corresponds to the anomaly signature dataset.
