Welcome to the world of Infosys Engineering! It is a half a billion plus organization that takes pride in shaping our engineering aspirations and dreams and bringing them to fruition. We provide engineering services and solutions across the lifecycle of our clients’ offerings, ranging from product ideation to realization and sustenance, that caters to a cross-section of industries - aerospace, automotive, medical devices, retail, telecommunications, hi tech, financial services, energy and utilities just to name a few major ones.

« Creating a Peer-To-Peer Connected World of Cars with Blockchain and IoT Synergy | Main | Address condition monitoring and predictive maintenance challenges in the Aerospace Industry with Krti 4.0 »

Krti 4.0: Reasserting the Relevance of Knowledge Modeling

Seamless knowledge management is a problem that many organizations grapple with. Consider how, in traditional engineering, knowledge about industrial systems and processes often reside within software code and documents, and with domain specialists. Many times, such knowledge is lost when domain specialists retire or are redeployed or when software applications are upgraded or replaced. Software migration itself poses significant technical challenges as it is often difficult to understand the logic of knowledge embedded in software applications. Further, documents describing business logic are sometimes not updated, resulting in incomplete capture and processing of business knowledge.

I strongly feel that problems related to the loss of critical business knowledge can be easily alleviated by capturing, representing and processing such knowledge in a manner where the lifecycle of the product and process is properly managed. This is where intelligent knowledge modeling comes in.


Breaking down knowledge modeling

Simply put, an ontology is a set of object types, objects and relationships as well as the attributes of objects and relationships. Knowledge models based on ontology structures can theoretically capture, represent and process infinite amounts of data associated with a system by using objects, relationships and attributes. An ontology representation can also deterministically connect the ontologies with external systems such as databases and downstream systems in order to take relevant actions.


Here is an illustration of a knowledge meta-model:

 

blog_metamodel_1.png

Here is another illustration of a knowledge model that is an instantiation of the above meta model:

blog_model_1.png

When knowledge is managed using such models, it greatly enhances product development by accelerating the design and development of new and similar products from existing designs.

Knowledge models can also be used to improve the problem-cause-resolution process in maintenance and operations. The illustration below demonstrates how this can be done:

 


fig22_ccn_blog_sep2018.png

Solve business problems with comprehensive knowledge modeling

Infosys and Pöyry have collaborated to create KRTI 4.0, an industrial solution to help companies capture and represent embedded knowledge around problems, symptoms, root causes, and resolutions. The KRTI 4.0 framework uses knowledge models to provide a host of tools such as dashboards, graphs and alerts for clear problem resolution lifecycles. These help users such as plant managers, supervisors and technicians to understand and interpret both static and real-time aspects of the system. These knowledge models are particularly useful for enterprises in the power, oil and gas, paper, and automotive industries that must capture knowledge across multiple plants and data across multiple systems to gain insights about problem identification and resolution.

Learn more about how KRTI 4.0 can help your organization capture knowledge to solve business problems faster.

 


Post a comment

(If you haven't left a comment here before, you may need to be approved by the site owner before your comment will appear. Until then, it won't appear on the entry. Thanks for waiting.)

Please key in the two words you see in the box to validate your identity as an authentic user and reduce spam.

Subscribe to this blog's feed

Follow us on

Blogger Profiles

Infosys on Twitter


Categories