Intelligent Decision Synchronization in Real Time for both Discrete and Continuous Process Industries

• US 20150262095A1
• Filed: 03/12/2014
• Published: 09/17/2015
• Est. Priority Date: 03/12/2014
• Status: Abandoned Application

• Current Assignee: Bahwan Cybertek Private Limited
• Original Assignee: Bahwan Cybertek Private Limited
• Inventors: Rajasekaran, Panchatcharam, Krishnan, Balasubramanian Sivarama
• Application Number:
  US14/205,377
• Publication Number:
  US 20150262095A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/0635 Risk analysis of enterprise or organisation activities
• CPC Class Codes: G06Q 10/0637 Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
• CPC Class Codes: G06Q 10/067 Enterprise or organisation modelling

Abstract

A composite technology system RETINA that enables intelligent decision synchronization in real time for continuous, discrete and batch process industries is disclosed. RETINA generates and synchronizes the intelligent decisions that affect the performance and profitability of business operations in real time and helps in analysis that are essential for any successful business operations in any manufacturing industries. RETINA combines the real time integration capability; Predictive analytics capability and adaptive real time process modeling capability to generate intelligent risk-reduced business decisions for continuous, discrete and batch manufacturing processes. RETINA unifies the data from disparate sources or in silos, collates, comprehends and analyses the data, and then convert them into actionable information in real time. Correct decisions are generated, streamlined and shared at the appropriate instant of time with right amount of data to the pertinent personnel to eliminate inefficiencies in operations and performance resulting in tangible profitability.

Claims

1. A composite technology system, that combines the real time standard and non-standard data integration capability, predictive analytics capability, adaptive real time process modeling capability, and capability to work in continuous, discrete and batch manufacturing processes to produce risk-reduced intelligent business decisions, comprising:

a. data memory store to store and manage parameters and attributes from a plurality of data sources;

b. a data pre-processor to pre-process the data;

c. a real-time logic processing and key performance indicator computation engine having a processing logic built by a domain expert using math power provided by a math library block;

d. an interface management module having a data integration gateway to handle a plurality of concurrent interfaces of similar or different types;

e. an internal archiving database which serves to keep track of configurations, variations, limits and key attributes;

f. a math library tool kit having a plurality of computing libraries wherein said math library tool kit is used by a domain expert to build logic;

g. one or more of a heuristic and data based modeler embedded in the real time logic processing and key performance indicator computation engine which builds a processing logic;

h. a constraint optimization algorithm for processing linear and non-linear programming models;

i. a key performance indicator configuration module to dynamically configure key performance indicators that computed by the real-time logic processing and key performance indicator computation engine;

j. a decision synchronizer to deliver intelligent risk-reduced decisions in a closed loop system; and

k. a portal enabled dashboard to display operations pertaining to an area configured by the domain expert.

2. The composite technology system as claimed in claim 1, wherein the parameters stored in data memory store are from one or more of a machine, equipment, process area, plant control system, operations execution system or quality control system.

3. The composite technology system as claimed in claim 1, wherein the data pre-processing is accomplished using one or more of K-means clustering, Euclidian distance and Mahalanobis Distance, Z-score normalization and statistical outlier based data cleaning and plumbing mechanisms.

4. The composite technology system as claimed in claim 1, wherein the interface management module comprises three types of interface management systems:

a. a real time source which comprises one or more real time interfaces consisting of a programmable logic controller, a distributed control system, a supervisory control and data acquisition system, and historian data sources;

b. an enterprise source comprising interface adaptors in communication with one or more enterprise systems consisting of (i) asset management systems and (ii) enterprise resource planning systems; and

c. an integration system capable of connecting data with other systems in an information technology landscape of an organization using service oriented architecture and connected through an enterprise service bus or a business process management layer.

5. The composite technology system as claimed in claim 1, wherein the math library tool kit comprises one or more computing libraries comprising one or more of simple math, trigonometric, algebraic and statistical computation libraries.

6. The composite technology system as claimed in claim 1, wherein the modeler is selected from the group consisting of a fuzzy logic modeler with heuristic modeling capability;

a statistical regression fit modeler which performs one to one or many to one regression fit, and a neural network modeler with supervised and unsupervised networks.

7. The composite technology system as claimed in claim 1, wherein the constraint optimization algorithm is one or more of a quadrating programming and a dynamic programming algorithm.

8. The composite technology system as claimed in claim 1, wherein the key performance indicator comprises mean time between failures, mean time to recovery, specific power consumption, specific energy consumption, yield, emission, overall equipment effectiveness and productivity.

9. The composite technology system as claimed in claim 1, wherein the decision synchronizer delivers one or more of decisions, messages, reports, and data in the form of one or more of actions, triggers, events, e-mails, and short message service messages.

10. The composite technology system as claimed in claim 1, further comprising an online real-time predictive analytics module for creating manual and automatic multi parameter predictive models.

11. The composite technology system as claimed in claim 1, wherein the system provides real-time integration between business and operations systems.

12. The composite technology system as claimed in claim 1, wherein the system is deployed in one or more of continuous, batch and discrete processing industries.

13. The composite technology system as claimed in claim 12 where continuous, batch and discrete processing industries are selected from the group consisting of oil and gas, power, cement, chemical, automotive, aluminum, and pharmaceutical plants.

14. The composite technology system as claimed in claim 1, wherein the system has a decision synchronizer that allows flexibility for operators, planners and business decision makers in making business decisions that provide overall excellence in operations.