Method and system for monitoring and reporting equipment operating conditions and diagnostic information

• US 9,400,867 B2
• Filed: 09/09/2012
• Issued: 07/26/2016
• Est. Priority Date: 09/10/2011
• Status: Expired due to Fees

• Current Assignee: CBM Enterprise Solutions, LLC
• Original Assignee: CBM Enterprise Solutions, LLC
• Inventors: Boyd, Cindy L., Rajab, Majdi, Borodaev, Anatoly, Fedishov, Vladimir
• Primary Examiner(s): Cosimano, Edward
• Application Number:
  US13/696,419
• Publication Number:
  US 20140074409A1
• Time in Patent Office: 1,416 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: G01D 21/00 Measuring or testing not otherwise provided for
• CPC Class Codes: G01D 3/08 with provision for safeguarding the apparatus, e.g. against abnormal operation, against breakdown
• CPC Class Codes: G05B 19/4183 characterised by data acquisition, e.g. workpiece identification
• CPC Class Codes: G05B 2219/31282 Data acquisition, BDE MDE
• CPC Class Codes: G05B 2219/31319 Use data groups as inventory control value, adapt inventory need to new data
• CPC Class Codes: G05B 2219/32235 Sharing of data between process control and maintenance management computers
• CPC Class Codes: G05B 23/0283 Predictive maintenance, e.g. involving the monitoring of a system and, based on the monitoring results, taking decisions on the maintenance schedule of the monitored system; Estimating remaining useful life [RUL] preventive maintenance, i.e. planning maintenance according to the available resources without monitoring the system G06Q10/06
• CPC Class Codes: G06F 11/3013 where the computing system is an embedded system, i.e. a combination of hardware and software dedicated to perform a certain function in mobile devices, printers, automotive or aircraft systems testing or monitoring of control systems or parts thereof G05B23/02
• CPC Class Codes: G06F 11/3058 Monitoring arrangements for monitoring environmental properties or parameters of the computing system or of the computing system component, e.g. monitoring of power, currents, temperature, humidity, position, vibrations thermal management in cooling arrangements of a computing system G06F1/206
• CPC Class Codes: G06F 11/3495 for systems
• CPC Class Codes: G06F 17/40 Data acquisition and logging for input to computer G06F3/00
• CPC Class Codes: G07C 3/00 Registering or indicating the condition or the working of machines or other apparatus, other than vehicles
• CPC Class Codes: G07C 3/14 Quality control systems
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass
• CPC Class Codes: Y02P 90/02 Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
• CPC Class Codes: Y02P 90/80 Management or planning

Abstract

A method and system (20) is provided for condition based monitoring reliability maintenance capabilities for an asset (70), such as one or more machines, by establishing a network including of a sensor (60) or a plurality of sensors installed, temporarily or in generally fixed locations, on asset (70), wherein sensor (60) provides time sequenced operational information in the form of data based on vibrations, temperature, electrical signals, or other operating conditions. Sensors (60) are connected to a local controller (40) which transmits the data via a local or wide area network (45), either through wired or wireless communication paths, in data packets, each containing divided portions of the operational information. The data packets are mapped and stored into multiple, dedicated databases for ease of retrieving and analyzing the data. Preferably, a cloud-based storage arrangement (120) is employed to storing the mapped data.

Claims

1. A method for condition based monitoring of an asset comprising:

sensing time sequenced operational information about the asset through at least one sensor associated with the asset, wherein the operational information encompasses a plurality of time sequenced operational parameters of the asset;

transferring the operational information to a first storage device;

dividing the operational information into a plurality of data packets, with each data packet containing a portion of the operational information;

transmitting the plurality of data packets from a first storage device into respective mapped locations within multiple, dedicated databases provided in at least one remote storage device;

subsequently retrieving select ones of the plurality of data packets from one or more of the mapped locations;

conducting an analysis, with a processor, on the time sequenced operational information from the select ones of the plurality of data packets for a predetermined operational feature of the asset; and

adjusting a maintenance schedule for the asset or initiating a repair event on the asset, based on the analysis, whereby down time or maintenance costs of the asset are reduced.

2. The method of claim 1, wherein each said portion of the operational information is directed to a respective one of the plurality of operational parameters.

3. The method of claim 1, further comprising:

receiving user criteria for a desired analysis, wherein the select ones of the plurality of data packets is determined based on the user criteria.

4. The method according to claim 1, wherein sensing the time sequenced information includes measuring vibrations caused by the asset with the at least one sensor to create an analogue signal and converting the analogue signal into a digital signal containing the information.

5. The method according to claim 1, further comprising:

producing an alert when an error is determined to exist for the predetermined operational feature.

6. The method according to claim 1, further comprising:

developing a diagnostic configuration associated with the asset, wherein diagnosing the predetermined operational feature of the asset includes retrieving data based on the diagnostic configuration and analyzing the data based on the diagnostic configuration using user specific software.

7. The method according to claim 6, further comprising:

loading user specific software on a portable computing device by only loading a limited portion of the data on the portable computing device while analyzing the data to diagnose the asset.

8. The method according to claim 1, wherein the plurality of data packets are object oriented databases and transmitting the plurality of data packets from the first storage device to the at least one remote storage device includes sending the plurality of data packets through a group of networked computers.

9. The method according to claim 8, wherein the at least one remote storage device constitutes cloud storage.

10. A system for monitoring operational conditions of an asset comprising:

at least one sensor provided to monitor one or more operational parameters of the asset;

a data acquisition device for collecting time sequenced operational information from the at least one sensor;

a local storage device;

a transmitter for transmitting the operational information to the local storage device;

a processor configured to divide the operational information into a plurality of data packets each containing a portion of the operational information, transmit the plurality of data packets from the local storage device into respective mapped locations within multiple, dedicated databases provided in at least one remote storage device; and

software configured to retrieve select ones of the plurality the data packets from one or more of the mapped locations, and analyzing the time sequenced operational information from the select ones of the plurality of data packets during an analysis of a predetermined operational feature of the asset and adjust a maintenance schedule for the asset or initiate a repair event on the asset, based on the analysis, whereby down time or maintenance costs of the asset are reduced.

11. The system according to claim 10, wherein each portion of the operational information is directed to a specific operational parameter of the asset.

12. The system according to claim 10, wherein at least one sensor measures vibrations caused by operation of the asset.

13. The system according to claim 10, further comprising:

a portable computing device provided with the software and having limited computing and data transmission ability for loading only a limited portion of the data on the portable computing device while analyzing the data to diagnose the asset.

14. The system according to claim 10, wherein the multiple, dedicated databases are object oriented type databases linked to a group of networked computers through which the plurality of data packets are transmitted.

15. The system according to claim 10, wherein the at least one sensor is attached to one machine of a group of machines being monitored.

16. The system according to claim 10, wherein the at least one remote storage device constitutes cloud storage.