Remote diagnostic system

US10054920B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10054920-B2
Application numberUS-201514590608-A
CountryUS
Kind codeB2
Filing dateJan 6, 2015
Priority dateJan 8, 2014
Publication dateAug 21, 2018
Grant dateAug 21, 2018

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

A remote diagnostic system for remotely diagnosing and developing a dynamic system including a dynamic system being controlled by a first control system and a device model being controlled by a second control system. The device model simulates the dynamic system and inputs and corresponding outputs are recorded to test the control system and operation of the dynamic system. During operation the dynamic systems inputs and outputs are recorded. The dynamic system input and outputs may then be compared to the device model inputs and outputs to check the accuracy of the device model. The device model may then be updated based on the results of the comparison.

First claim

Opening claim text (preview).

What is claimed is: 1. A remote diagnostic system comprising: a) a mechanical dynamic system in an operational field, the mechanical dynamic system producing real data during operation, the mechanical dynamic system comprising at least one crane or crane component; b) a device model, the device model comprising a mathematical model for simulating the mechanical dynamic system, the device model having an input interface for receiving a plurality of model inputs and an output interface for delivering a plurality of model outputs dependent upon the device model and the plurality of model inputs; c) a control system adapted to operably couple to the mechanical dynamic system, the control system configured to receive operator input and to control the mechanical dynamic system through control signals in response to the operator input; d) a data collection and distribution system, the data collection and distribution system configured to collect data from a plurality of data sources including the mechanical dynamic system, the device model, and the control system, and distribute data to a plurality of data destinations, wherein the data collected from the mechanical dynamic system includes the real data produced during operation of the mechanical dynamic system and the data collected from the device model includes the model outputs; e) a data warehouse operably coupled to the data collection and distribution system and configured to consolidate, aggregate, and store the collected data, and f) a data analyst operably coupled to the data warehouse, the data analyst configured to analyze the collected data to determine a service condition of the at least one crane or crane component. 2. The remote diagnostic system of claim 1 further comprising a data analysis system configured to mathematically analyze data in the data warehouse. 3. The remote diagnostic system of claim 1 further comprising a business intelligence system configured to report and display information from the data warehouse. 4. The remote diagnostic system of claim 1 wherein the device model comprises a computing system having instructions for emulating a crane and wherein the mechanical dynamic system comprises a crane. 5. The remote diagnostic system of claim 1 wherein the device model comprises a computing system having instruction for emulating a crane component and wherein the mechanical dynamic system comprises a crane component. 6. The remote diagnostic system of claim 1 wherein the field data comprises data represented characteristics selected from the group consisting of mechanical dynamic system outputs, mechanical dynamic system inputs, and service history. 7. The remote diagnostic system of claim 6 wherein the data collection and distribution system distributes inputs to the device model. 8. The remote diagnostic system of claim 7 wherein the inputs to the device model includes inputs for modifying the mathematical model. 9. The diagnostic system of claim 1 wherein the data warehouse stores a modeled fault condition corresponding to at least one data output of the device model and an associated at least one input of the device model. 10. The diagnostic system of claim 9 wherein the data warehouse stores an actual fault condition corresponding to at least one data output of the mechanical dynamic system. 11. The diagnostic system of claim 10 wherein the data warehouse compares the actual fault condition to the modeled fault condition and associates a fault cause with the actual fault condition dependent on the at least one input of the device model. 12. The diagnostic system of claim 10 wherein at least one inputs to the device model modifies the device model based on the actual fault condition and the field data. 13. A remote diagnostic system comprising: a) a mechanical dynamic system in an operational field, the mechanical dynamic system producing real data during operation; b) a device model stored in a memory, the device model simulating the mechanical dynamic system, the device model having an input interface for receiving a plurality of model inputs and an output interface for delivering a plurality of model outputs dependent upon the device model and the plurality of model inputs; c) a control system having a hardware processor, the control system adapted to operably couple to the mechanical dynamic system, the control system configured to receive operator input and to control the mechanical dynamic system through control signals in response to the operator input; d) a data collection and distribution system, the data collection and distribution system configured to collect data from a plurality of data sources including the mechanical dynamic system, the device model, and the control system, and distribute data to a plurality of data destinations; and e) a data warehouse configured to consolidate, aggregate, and store the collected data in the memory, wherein the data warehouse stores a modeled fault condition corresponding to at least one data output of the device model and an associated at least one input of the device model, wherein the data warehouse stores an actual fault condition corresponding to at least one data output of the mechanical dynamic system, and wherein the data warehouse compares the actual fault condition to the modeled fault condition and associates a fault cause with the actual fault condition dependent on the at least one input of the device model.

Assignees

Inventors

Classifications

  • B66C13/22Primary

    for electric drives (transmitting control pulses B66C13/40; systems or devices of general application H02P) · CPC title

  • G05B17/02Primary

    electric · CPC title

  • Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation {; Recording or statistical evaluation of user activity, e.g. usability assessment} · CPC title

  • Display for diagnostics, e.g. diagnostic result display, self-test user interface · CPC title

  • Auxiliary devices for controlling movements of suspended loads, or preventing cable slack · CPC title

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What does patent US10054920B2 cover?
A remote diagnostic system for remotely diagnosing and developing a dynamic system including a dynamic system being controlled by a first control system and a device model being controlled by a second control system. The device model simulates the dynamic system and inputs and corresponding outputs are recorded to test the control system and operation of the dynamic system. During operation the…
Who is the assignee on this patent?
Manitowoc Crane Companies Llc
What technology area does this patent fall under?
Primary CPC classification B66C13/22. Mapped technology areas include Operations & Transport.
When was this patent published?
Publication date Tue Aug 21 2018 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 3 related publications on this page (citations in our corpus or others sharing the same primary CPC).