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US 2023/0070826 A1Published application
Autonomous instrument management
AssigneeHoneywell International Inc.
InventorsWinfried Klaren, Prabhu Soundarrajan
Life of this patent
Estimating the term…
Abstract
One embodiment includes a monitor module for a first device, wherein the first device is configured to obtain measurement data from a second device, to compare the measurement data to a reference value, and to send a signal when the measurement data in comparison to the reference indicates an error condition. Machine learning can be used, where a head-end is capable of modifying the second device when the reference value so indicates. This enables various embodiments to fix the second device without human intervention
Claims20
An instrument management device comprising:
- a monitor module for a first device, wherein the first device is configured to obtain measurement data from a second device, to compare the measurement data to a reference value, and to send a signal when the measurement data in comparison to the reference indicates an error condition;
- a recommendation module to receive the signal from the monitoring module, to analyze the signal, and to generate one or more recommendations associated with the error condition by using a cause and effect module, the cause and effect module comprising a data structure having at least one row and at least one column, the recommendation module accessing a data item from one of the rows or one of the columns of the cause and effect module;
- a ticket generation module to receive the one or more recommendations including the data item, to obtain a resolution of the error condition by altering a state of the second device, and to generate a data package associated with the resolution of the error condition;
- and
- a machine learning module configured to use the package to determine whether to update the cause and effect module, and if so altering the data item in one of the rows or one of the columns.
2 more elements
A system comprising:
- a monitoring system for a first device, wherein the first device is configured to obtain measurement data from a second device, to compare the measurement data to a reference value, and to send a signal when the measurement data in comparison to the reference indicates an error condition;
- a recommendation system to receive the signal from the monitoring system, to analyze the signal, and to generate one or more recommendations associated with the error condition by using a cause and effect table, the cause and effect table comprising a data structure having at least one row and at least one column, the recommendation system accessing a data item from one of the rows or one of the columns of the cause and effect table;
- a ticket generation system to receive the one or more recommendations including the data item, to obtain a resolution of the error condition by altering a state of the second device, and to generate a data package associated with the resolution of the error condition;
- and
- a machine learning system configured to use the package to determine whether to update the cause and effect table, and if so altering the data item in one of the rows or one of the columns.
2 more elements
A method comprising:
- obtaining measurement data from a device;
- comparing the measurement data to a reference value;
- receiving a signal when the measurement data in comparison to the reference value indicates an error condition;
- using a cause and effect table to generate one or more recommendations associated with the error condition by, the cause and effect table comprising a data structure having at least one row and at least one column, the step of using further comprising accessing a data item from one of the rows or one of the columns of the cause and effect table;
- obtaining a resolution of the error condition by altering a state of the device;
- generating a data package associated with the resolution of the error condition;
- and
- using the package to determine whether to update the cause and effect table, and if so altering the data item in one of the rows or one of the columns.
5 more elements
Dependencies are inferred from the claim text.