IP Library › Granted Patent US 8,504,397
Granted Patent B2
US 8,504,397 · App. 11/816,826 · Granted Aug 6, 2013

Real time business event monitoring, tracking, and execution architecture

Inventors: Shashi Shekhar Vempati (Dallas, TX); Girish A. Ramachandra (Bangalore, IN)
Assignee: Infosys Technologies Limited
G06Q10/063
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Quick Facts
Patent No.
US 8,504,397
App. No.
11/816,826
Granted
Aug 6, 2013
Kind
B2
Abstract

A computer system ( 100 ) enables real-time business event monitoring and tracking by means of a client-server computer asynchronously acquiring ( 110 ) physical event data from a variety of network-connected ( 105 ) data collection devices ( 102 ), processing the event data on the basis of the knowledge and history of previous events, and analyzing the event data using business logic/rules, filters, and/or other criteria to identify ( 115 ) “significant” business events for real-time communication to a network ( 120 ) of clients ( 122 ). The system ( 100 ) is bi-directional in that it also receives business information requests from the clients ( 122 ) and processes the requests in the light of the knowledge and history of previous client requests to generate a plurality of device-specific control commands for execution on one or more of the data collection devices ( 102 ).

Claims (46)

1. A method of determining a plurality of business events, comprising:

acquiring, by a control engine computing device, data associated with a plurality of events from a plurality of data collection devices;

processing, with the control engine computing device, the acquired data using historical data and business logic to identify one or more of the plurality of events that are significant business events, the significant business events associated with an unexpected performance of one or more of the plurality of data collection devices;

dispatching, with the control engine computing device, the data associated with the one or more identified significant business events to at least a subset of a plurality of enterprise systems;

generating, with the control engine computing device, at least one device-specific control command based on at least one business request received from one or more of the subset of the plurality of enterprise systems, the at least one device-specific control command configured to, when executed, alter the performance of at least one of the one or more of the plurality of data collection devices; and

communicating, with the control engine computing device, the at least one device-specific control command to the at least one of the plurality of data collection devices.

2. The method of claim 1 , wherein the data collection devices comprise RFID readers, bar-code scanners, motion detectors, thermal sensors, pressure sensors, volume-level sensors, smart-card readers, weight sensors, moisture sensors, contact-less payment systems, biometric sensors, 802.11b enabled devices, infrared scanners, electronic displays, magnetic card readers, electronic scales, voice detectors, humidity sensors, gravitometers, or accelerometers.

3. The method of claim 1 , wherein the enterprise systems comprise legacy systems, enterprise resource planning systems, customer relationship management systems, supply chain management systems, warehouse management systems, merchandise managements systems, yard management systems, transportation management systems, or asset management systems.

4. The method of claim 1 , further comprising:

generating with the control engine computing device at least one application command based on the at least one business request received from the one or more of the subset of the plurality of enterprise systems; and

generating with the control engine computing device the at least one device-specific control command based on the at least one application command.

5. The method of claim 1 , wherein:

the data is acquired using a plurality of data collection adaptors;

the one or more significant business events are identified using a real-time decision making engine; and

the one or more significant business events are communicated using a plurality of business integration adaptors.

6. A non-transitory computer-readable storage medium having stored thereon instructions for controlling a plurality of data collection devices, the instructions comprising machine executable code which, when executed by at least one processor, causes the processor to perform steps comprising:

acquiring data associated with a plurality of events from a plurality of data collection devices;

processing the acquired data using historical data and business logic to identify one or more of the plurality of events that are significant business events, the significant business events associated with an unexpected performance of one or more of the plurality of data collection devices;

dispatching the data associated with the one or more identified significant business events to at least a subset of a plurality of enterprise systems;

generating at least one device-specific control command based on at least one business request received from one or more of the subset of the plurality of enterprise systems, the at least one device-specific control command configured to, when executed, alter the performance of at least one of the one or more of the plurality of data collection devices; and

communicating the at least one device-specific control command to the at least one of the plurality of data collection devices.

7. The medium of claim 6 , wherein the data collection devices comprise RFID readers, bar-code scanners, motion detectors, thermal sensors, pressure sensors, volume-level sensors, smart-card readers, weight sensors, moisture sensors, contact-less payment systems, biometric sensors, 802.11b enabled devices, infrared scanners, electronic displays, magnetic card readers, electronic scales, voice detectors, humidity sensors, gravitometers, or accelerometers.

8. The medium of claim 6 , wherein the enterprise systems comprise legacy systems, enterprise resource planning systems, customer relationship management systems, supply chain management systems, warehouse management systems, merchandise managements systems, yard management systems, transportation management systems, or asset management systems.

9. The medium of claim 6 , further having stored thereon instructions further comprising machine executable code which, when executed by the at least one processor, causes the processor to perform steps further comprising:

generating at least one application command based on the at least one business request received from the one or more of the subset of the plurality of enterprise systems; and

generating the at least one device-specific control command based on the at least one application command.

10. The medium of claim 6 , wherein:

the data is acquired using a plurality of data collection adaptors;

the one or more significant business events are identified using a real-time decision making engine; and

the one or more significant business events are communicated using a plurality of business integration adaptors.

11. An apparatus comprising:

a memory coupled to one or more processors which are configured to execute programmed instructions stored in the memory, comprising:

acquiring data associated with a plurality of events from a plurality of data collection devices;

processing the acquired data using historical data and business logic to identify one or more of the plurality of events that are significant business events, the significant business events associated with an unexpected performance of one or more of the plurality of data collection devices;

dispatching the data associated with the one or more identified significant business events to at least a subset of a plurality of enterprise systems;

generating at least one device-specific control command based on at least one business request received from one or more of the subset of the plurality of enterprise systems, the at least one device-specific control command configured to, when executed, alter the performance of at least one of the one or more of the plurality of data collection devices; and

communicating the at least one device-specific control command to the at least one of the plurality of data collection devices.

12. The apparatus of claim 11 , wherein the data collection devices comprise RFID readers, bar-code scanners, motion detectors, thermal sensors, pressure sensors, volume-level sensors, smart-card readers, weight sensors, moisture sensors, contact-less payment systems, biometric sensors, 802.11b enabled devices, infrared scanners, electronic displays, magnetic card readers, electronic scales, voice detectors, humidity sensors, gravitometers, or accelerometers.

13. The apparatus of claim 11 , wherein the enterprise systems comprise legacy systems, enterprise resource planning systems, customer relationship management systems, supply chain management systems, warehouse management systems, merchandise managements systems, yard management systems, transportation management systems, or asset management systems.

14. The apparatus of claim 11 , wherein the one or more processors are further configured to execute programmed instructions stored in the memory further comprising:

generating at least one application command based on the at least one business request received from the one or more of the subset of the plurality of enterprise systems; and

generating at least one device-specific control command based on the at least one application command.

15. The apparatus of claim 11 , wherein:

the data is acquired using a plurality of data collection adaptors;

the one or more significant business events are identified using a real-time decision making engine; and

the one or more significant business events are communicated using a plurality of business integration adaptors.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 26, 2008
From: VEMPATI, SHASHI SHEKHAR; RAMACHANDRA, GIRISH A.
To: INFOSYS TECHNOLOGIES LIMITED
Reel/Frame 021442/0074 →
Continuity (1)
Related Publication 20090037193A1 · Feb 5, 2009