Multilevel Flow Modeling

Last updated

Multilevel Flow Modeling (MFM) is a framework for modeling industrial processes.

Contents

MFM is a kind of functional modeling employing the concepts of abstraction, decomposition, and functional representation. The approach regards the purpose, rather than the physical behavior of a system as its defining element. MFM hierarchically decomposes the function of a system along the means-end and whole-part dimensions in relation to intended actions. Functions are syntactically modeled by the relations of fundamental concepts contributing as part of a subsystem. Each subsystem is considered in the context of the overall system in terms of the purpose (end) of its function (means) in the system. Using only a few fundamental concepts as building blocks allows qualitative reasoning about action success or failure. MFM defines a graphical modeling language for representing the encompassed knowledge. [1]

History

MFM originated as a modeling language for capturing how human operators identify and handle unknown operation situations in order to improve the design of human-machine interfaces. [2]

Syntax

MFM concepts for functions and relations MFM concepts.png
MFM concepts for functions and relations

MFM describes the function of a system as a means for a specific end in terms of mass and energy flow. The flow is the defining element for the underlying function concepts. The concepts of transport and barrier play the most important role, as they connect pairs of the other function types, reflecting the physical flows in the system. Sink and source functions mark the boundary of the considered system and the end or beginning of a flow. Storage and balance concepts can both be collection or splitting points for multiple flow paths.

Accordingly, valid MFM syntax requires a transport or a barrier linking two functions of the remaining four types. In addition to the flow within one perspective (mass or energy) MFM connects the influence between mass and energy by the means-end relations (mediate and producer-product) as well as the causal links introduced by the way the system is controlled by using separate control flow structures.

Diagnostic information about the causality between abnormal states through the system is inferred from the physical effect between the functions. Petersen distinguishes direct and indirect influence between functions: [3]

According to the underlying physical interpretation inference rules for all possible patterns of flow functions have been established. Zhang compiled these patterns and the implied causality. [4]

Example

The MFM diagram of a heat pump reflects the overarching objective (cob2) of maintaining the energy level on the warm side constant. The energy flow structure efs2 shows the system function from the most prevalent (energetic) perspective which is further decomposed in the mass flow of coolant (mfs1) as the means for the desired energy transport. Further hierarchical analysis produces efs1 that represents the energy needed for the pump as a means to produce a part of the mass flow. The operational constraints introduced by control systems such as a water flow controller are modeled by cfs1 and a temperature controller cfs2.

Flow sheet of a heat pump with temperature and flow controllers, described by Flow sheet of a generic heat pump.svg
Flow sheet of a heat pump with temperature and flow controllers, described by
MFM model of a heat pump with temperature and flow controllers, based on Heat pump MFM.svg
MFM model of a heat pump with temperature and flow controllers, based on

Application

MFM based solutions for many aspects of industrial automation have been proposed. Research directions include:

Related Research Articles

<span class="mw-page-title-main">Energy</span> Property that makes changes possible

In physics, energy is the quantitative property that is transferred to a body or to a physical system, recognizable in the performance of work and in the form of heat and light. Energy is a conserved quantity—the law of conservation of energy states that energy can be converted in form, but not created or destroyed. The unit of measurement for energy in the International System of Units (SI) is the joule (J).

In engineering, functional decomposition is the process of resolving a functional relationship into its constituent parts in such a way that the original function can be reconstructed from those parts.

The following outline is provided as an overview of and topical guide to physics:

A dimensionless quantity is a quantity to which no physical dimension is assigned. Dimensionless quantities are widely used in many fields, such as mathematics, physics, chemistry, engineering, and economics. Dimensionless quantities are distinct from quantities that have associated dimensions, such as time.

Physical causality is a physical relationship between causes and effects. It is considered to be fundamental to all natural sciences and behavioural sciences, especially physics. Causality is also a topic studied from the perspectives of philosophy, statistics and logic. Causality means that an effect can not occur from a cause that is not in the back (past) light cone of that event. Similarly, a cause can not have an effect outside its front (future) light cone.

In fluid dynamics, turbulence or turbulent flow is fluid motion characterized by chaotic changes in pressure and flow velocity. It is in contrast to a laminar flow, which occurs when a fluid flows in parallel layers, with no disruption between those layers.

<span class="mw-page-title-main">Heat transfer</span> Transport of thermal energy in physical systems

Heat transfer is a discipline of thermal engineering that concerns the generation, use, conversion, and exchange of thermal energy (heat) between physical systems. Heat transfer is classified into various mechanisms, such as thermal conduction, thermal convection, thermal radiation, and transfer of energy by phase changes. Engineers also consider the transfer of mass of differing chemical species, either cold or hot, to achieve heat transfer. While these mechanisms have distinct characteristics, they often occur simultaneously in the same system.

Process engineering is the understanding and application of the fundamental principles and laws of nature that allow humans to transform raw material and energy into products that are useful to society, at an industrial level. By taking advantage of the driving forces of nature such as pressure, temperature and concentration gradients, as well as the law of conservation of mass, process engineers can develop methods to synthesize and purify large quantities of desired chemical products. Process engineering focuses on the design, operation, control, optimization and intensification of chemical, physical, and biological processes. Process engineering encompasses a vast range of industries, such as agriculture, automotive, biotechnical, chemical, food, material development, mining, nuclear, petrochemical, pharmaceutical, and software development. The application of systematic computer-based methods to process engineering is "process systems engineering".

<span class="mw-page-title-main">Porous medium</span> Material containing fluid-filled voids

In materials science, a porous medium or a porous material is a material containing pores (voids). The skeletal portion of the material is often called the "matrix" or "frame". The pores are typically filled with a fluid. The skeletal material is usually a solid, but structures like foams are often also usefully analyzed using concept of porous media.

In systems analysis, Diakoptics or the "Method of Tearing" involves breaking a problem down into subproblems which can be solved independently before being joined back together to obtain an exact solution to the whole problem. The term was introduced by Gabriel Kron in a series "Diakoptics — The Piecewise Solution of Large-Scale Systems" published in London, England by The Electrical Journal between June 7, 1957 and February 1959. The twenty-one installments were collected and published as a book of the same title in 1963. The term diakoptics was coined by Philip Stanley of the Union College Department of Philosophy.

<span class="mw-page-title-main">Physical paradox</span> Apparent contradiction in physical descriptions of the universe

A physical paradox is an apparent contradiction in physical descriptions of the universe. While many physical paradoxes have accepted resolutions, others defy resolution and may indicate flaws in theory. In physics as in all of science, contradictions and paradoxes are generally assumed to be artifacts of error and incompleteness because reality is assumed to be completely consistent, although this is itself a philosophical assumption. When, as in fields such as quantum physics and relativity theory, existing assumptions about reality have been shown to break down, this has usually been dealt with by changing our understanding of reality to a new one which remains self-consistent in the presence of the new evidence.

<span class="mw-page-title-main">Ecosystem ecology</span> Study of living and non-living components of ecosystems and their interactions

Ecosystem ecology is the integrated study of living (biotic) and non-living (abiotic) components of ecosystems and their interactions within an ecosystem framework. This science examines how ecosystems work and relates this to their components such as chemicals, bedrock, soil, plants, and animals.

Ecological interface design (EID) is an approach to interface design that was introduced specifically for complex sociotechnical, real-time, and dynamic systems. It has been applied in a variety of domains including process control, aviation, and medicine.

Material flow analysis (MFA), also referred to as substance flow analysis (SFA), is an analytical method to quantify flows and stocks of materials or substances in a well-defined system. MFA is an important tool to study the bio-physical aspects of human activity on different spatial and temporal scales. It is considered a core method of industrial ecology or anthropogenic, urban, social and industrial metabolism. MFA is used to study material, substance, or product flows across different industrial sectors or within ecosystems. MFA can also be applied to a single industrial installation, for example, for tracking nutrient flows through a waste water treatment plant. When combined with an assessment of the costs associated with material flows this business-oriented application of MFA is called material flow cost accounting. MFA is an important tool to study the circular economy and to devise material flow management. Since the 1990s, the number of publications related to material flow analysis has grown steadily. Peer-reviewed journals that publish MFA-related work include the Journal of Industrial Ecology, Ecological Economics, Environmental Science and Technology, and Resources, Conservation, and Recycling.

<span class="mw-page-title-main">System</span> Interrelated entities that form a whole

A system is a group of interacting or interrelated elements that act according to a set of rules to form a unified whole. A system, surrounded and influenced by its environment, is described by its boundaries, structure and purpose and is expressed in its functioning. Systems are the subjects of study of systems theory and other systems sciences.

A glossary of terms relating to systems theory.

<span class="mw-page-title-main">Perimeter fence</span>

Demarcation of a perimeter, when the protection of assets, personnel or buildings is required, is normally affected by the building of a perimeter fence system. The level of protection offered varies according to the threat level to the perimeter. Different types of perimeter fencing include:

<span class="mw-page-title-main">Function model</span>

In systems engineering, software engineering, and computer science, a function model or functional model is a structured representation of the functions within the modeled system or subject area.

In engineering, physics, and chemistry, the study of transport phenomena concerns the exchange of mass, energy, charge, momentum and angular momentum between observed and studied systems. While it draws from fields as diverse as continuum mechanics and thermodynamics, it places a heavy emphasis on the commonalities between the topics covered. Mass, momentum, and heat transport all share a very similar mathematical framework, and the parallels between them are exploited in the study of transport phenomena to draw deep mathematical connections that often provide very useful tools in the analysis of one field that are directly derived from the others.

<span class="mw-page-title-main">MOOSE (software)</span>

MOOSE is an object-oriented C++ finite element framework for the development of tightly coupled multiphysics solvers from Idaho National Laboratory. MOOSE makes use of the PETSc non-linear solver package and libmesh to provide the finite element discretization.

References

  1. 1 2 3 4 Lind, Morten (2013). "An overview of multilevel flow modeling". International Electronic Journal of Nuclear Safety and Simulation. 4 (3): 186–191. ISSN   2185-0577.
  2. Burns, Catherine M.; Vicente, Kim J. (Sep 2001). "Model-Based Approaches for Analyzing Cognitive Work: A Comparison of Abstraction Hierarchy, Multilevel Flow Modeling, and Decision Ladder Modeling". International Journal of Cognitive Ergonomics. 5 (3): 357–366. doi:10.1207/s15327566ijce0503_13. ISSN   1088-6362.
  3. Johannes, Petersen (2000). Causal reasoning based on MFM. OCLC   842602167.
  4. Zhang, Xinxin (2015). Assessing Operational Situations. Technical University of Denmark, Department of Electrical Engineering.
  5. Wang, Wenlin; Yang, Ming (Nov 2016). "Implementation of an integrated real-time process surveillance and diagnostic system for nuclear power plants". Annals of Nuclear Energy. 97: 7–26. doi:10.1016/j.anucene.2016.06.002. ISSN   0306-4549.
  6. Us, Tolga; Jensen, Niels; Lind, Morten; Jørgensen, Sten Bay (2011). "Fundamental Principles of Alarm Design". International Journal of Nuclear Safety and Simulation. 2 (1): 44–51. ISSN   2185-0577.
  7. Larsson, J. E.; Oehman, B.; Calzada, A.; Nihlwing, C.; Jokstad, H.; Kristianssen, L. I.; Kvalem, J.; Lind, M. (2006). "A revival of the alarm system: Making the alarm list useful during incidents". Proceedings of the 5. International Topical Meeting on Nuclear Plant Instrumentation Controls, and Human Machine Interface Technology.
  8. Wu, J.; Lind, M.; Zhang, X.; Jørgensen, S.B.; Sin, G. (2015), "Validation of a functional model for integration of safety into process system design", 12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering, Elsevier, pp. 293–298, doi:10.1016/b978-0-444-63578-5.50044-x, ISBN   9780444634290, S2CID   59959545
  9. Gofuku, Akio; Inoue, Takahisa; Sugihara, Taro (2017-03-02). "A technique to generate plausible counter-operation procedures for an emergency situation based on a model expressing functions of components". Journal of Nuclear Science and Technology. 54 (5): 578–588. Bibcode:2017JNST...54..578G. doi:10.1080/00223131.2017.1292966. ISSN   0022-3131. S2CID   99464728.