IP Library Granted Patent US 10,054,920
Granted Patent B2
US 10,054,920 · App. 14/590,608 · Granted Aug 21, 2018

Remote diagnostic system

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Quick Facts
Patent No.
US 10,054,920
App. No.
14/590,608
Granted
Aug 21, 2018
Kind
B2
Abstract

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.

Claims (27)

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.

Assignments (9)
SECURITY INTEREST Recorded Sep 19, 2024
From: MANITOWOC CRANE COMPANIES, LLC; THE MANITOWOC COMPANY, INC.; GROVE U.S. L.L.C.
To: U.S. BANK TRUST COMPANY, NATIONAL ASSOCIATION
Reel/Frame 068997/0077 →
RELEASE OF SECURITY INTEREST Recorded Sep 19, 2024
From: U.S. BANK TRUST COMPANY, NATIONAL ASSOCIATION (AS SUCCESSOR IN INTEREST TO U.S. BANK NATIONAL ASSOCIATION)
To: MANITOWOC CRANE COMPANIES, LLC; GROVE U.S. L.L.C.
Reel/Frame 068997/0782 →
SECURITY INTEREST Recorded Mar 28, 2019
From: MANITOWOC CRANE COMPANIES, LLC
To: JPMORGAN CHASE BANK, N.A., AS ADMINISTRATIVE AGENT
Reel/Frame 048723/0497 →
SECURITY AGREEMENT Recorded Mar 27, 2019
From: GROVE U.S. L.L.C.; MANITOWOC CRANE COMPANIES, LLC
To: U.S. BANK NATIONAL ASSOCIATION, AS NOTES COLLATERAL AGENT
Reel/Frame 048709/0202 →
RELEASE OF SECURITY INTERESTS Recorded Mar 26, 2019
From: WELLS FARGO BANK, NATIONAL ASSOCIATION
To: THE MANITOWOC COMPANY, INC.; MANITOWOC CRANES, LLC; GROVE U.S. L.L.C.; MANITOWOC CRANE COMPANIES, LLC
Reel/Frame 048698/0521 →
RELEASE OF SECURITY INTEREST Recorded Mar 25, 2019
From: WELLS FARGO BANK, NATIONAL ASSOCIATION
To: MANITOWOC CRANE COMPANIES, LLC
Reel/Frame 048694/0456 →
SECURITY INTEREST Recorded Apr 7, 2016
From: MANITOWOC CRANE COMPANIES, LLC
To: WELLS FARGO BANK, NATIONAL ASSOCIATION
Reel/Frame 038383/0094 →
SECURITY INTEREST Recorded Mar 8, 2016
From: MANITOWOC CRANE COMPANIES, LLC
To: WELLS FARGO BANK, NATIONAL ASSOCIATION, AS AGENT
Reel/Frame 038038/0924 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 13, 2015
From: OSWALD, MATTHEW T.; BLAIR, JEFFREY S.; ALGER, JAMES A.
To: MANITOWOC CRANE COMPANIES, LLC
Reel/Frame 034695/0217 →