Functional-Based Search for Patent Technology Transfer

Russo, Davide; Montecchi, Tiziano; Liu, Ying

doi:10.1115/detc2012-70833

Cited by 18 publications

(9 citation statements)

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“…The tool, "TrendPerceptor" [12] is based on this method. TechTrees: [8] Thesaurus: [15] Level of Invention (LOI): [9] Problem Solving: [30] Innovation generation: [4] Idea generation: [30] New product development/design: [5], [6], [7], [13], [24] Technological transfer/Technology transferability: [4], [13], [14], [15], [21] Product comparison/ Similar products: [4], [17], [30] Avoid patent infringement: [20] Knowledge sharing/ extraction: [15], [16] Prior art searches: [14], [15], [16] Ontologies [e.g. Function-Behavior-Structure (FBS)] are used by Russo and Montecchi [13,14,15].…”

Section: State Of the Artmentioning

confidence: 99%

Innovation through Pertinent Patents Research based on Physical Phenomena Involved

et al. 2014

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One can find innovative solutions to complex industrial problems by looking for knowledge in patents. Traditional search using keywords in databases of patents has been widely used. Currently, different computational methods that limit human intervention have been developed. We aim to define a method to improve the search for relevant patents in order to solve industrial problems and specifically to deduce evolution opportunities. The non-automatic, semi-automatic, and automatic search methods use keywords. For a detailed keyword search, we propose as a basis the functional decomposition [1] and the analysis of the physical phenomena involved in the in the achievement of the function to fulfill. The search for solutions to design a bi-phasic separator in deep offshore shows the method presented in this paper.

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Section: State Of the Artmentioning

confidence: 99%

Innovation through Pertinent Patents Research based on Physical Phenomena Involved

et al. 2014

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“…Li et al 2012) as they are lengthy and rich in technical terminology such that it takes a lot of human effort for analyses. Effective information extraction is made even more difficult because patents are typically written in their own lexicon, style, and strategy in describing their inventions (Russo, Montecchi, and Ying 2012).…”

Section: The Significance Of Patentsmentioning

confidence: 99%

“…Secondly, the definition of the function performed by the experts remains ambiguous due to the lack of a structured method (Park, Kim et al 2012). A further example can be found in the method of Russo and Montecchi (2011a), [(Russo and Montecchi 2011a), (Russo, Montecchi, and Ying 2012)] seen previously. Indeed, very few patent analysis and exploitation methods integrate physical effects into their knowledge base.…”

Section: Assessment and Improvement Opportunitiesmentioning

confidence: 99%

A new method for extracting knowledge from patents to inspire designers during the problem-solving phase

Valverde

Nadeau

Scaravetti

2017

Journal of Engineering Design

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Nowadays, patents are more than an industrial property protection, they constitute a considerable source of information. Several approaches deal with the extraction of pertinent information from patents, some of them translate that information into useful knowledge for problem-solving purposes. However, very few methods use a physical approach and a consistent analysis of the main function in the problem definition phase. This paper proposes a new method to inspire designers with ideas and analogous solutions. The objective is to contribute to solve complex technical problems by exploiting knowledge found in patent documents. The method is divided into three sections: problem definition, research and analysis, and innovation. The first two sections use iteratively a knowledge base formed by pertinent keywords related to the problem context, physical keywords from functional decomposition and physical analysis, and technological keywords recovered through patent analysis. In the third section, interesting patents are classified in a structured discovery matrix from the physical phenomena involved which are crossed in accordance with the related techniques found. The method is supported by a physical effects database of energy conversion and by evolution trends of technical systems. A deep offshore biphasic separator illustrates the method.

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“…The structure, being the final configuration of the product, uses mathematical models like physical effect to show the state transition. Patent search tools circumvent the use of official repositories and have been researched as potential opportunities for analogies (Montecchi & Russo, 2011; Russo, 2012; Russo & Rizzi, 2014). By utilizing the patent database, matching via graphical mapping is achievable and can pull from many domains.…”

Section: Engineering Design and Related Workmentioning

confidence: 99%

Introduction to quantitative engineering design methods via controls engineering

Lucero

Adams

Turner

2017

AIEDAM

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Functional modeling is an effective method of depicting products in the design process. Using this approach, product architecture, concept generation, and physical modeling all contribute to the design process to generate a result full of quality and functionality. The functional basis approach provides taxonomy of uniform vocabulary to produce function structures with consistent functions (verbs) and flows (nouns). Material and energy flows dominate function structures in the mechanical engineering domain with only a small percentage including signal flows. Research suggests that the signal flow gap is due to the requirement of “carrier” flows of either material or energy to transport the signals between functions. This research suggests that incorporating controls engineering methodologies may increase the number of signal flows in function structures. We show correlations between the functional modeling and controls engineering in four facets: schematic similarities, performance matching through flows, mathematical function creation using bond graphs, and isomorphic matching of the aforementioned characteristics allows for analogical solutions. Controls systems use block diagrams to represent the sequential steps of the system. These block diagrams parallel the function structures of engineering design. Performance metrics between the two domains can be complimentary when decomposed down to nondimensional engineering units. Mathematical functions of the actions in controls systems can resemble the functional basis functions with bond graphs by identifying characteristic behavior of the functions on the flows. Isomorphic matching, using the schematic diagrams, produces analogies based upon similar functionality and target performance metrics. These four similarities bridge the mechanical and electrical domains via the controls domain. We provide concepts and contextualization for the methodology using domain-agnostic examples. We conclude with suggestion of pathways forward for this preliminary research.

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Functional-Based Search for Patent Technology Transfer

Cited by 18 publications

References 0 publications

Innovation through Pertinent Patents Research based on Physical Phenomena Involved

Innovation through Pertinent Patents Research based on Physical Phenomena Involved

A new method for extracting knowledge from patents to inspire designers during the problem-solving phase

Introduction to quantitative engineering design methods via controls engineering

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