FMI4j: A Software Package for working with Functional Mock-up Units on the Java Virtual Machine

Hatledal, Lars Ivar; Zhang, Houxiang; Styve, Arne; Hovland, Geir

doi:10.3384/ecp1815337

Cited by 5 publications

(8 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…FMI4j [Hatledal et al, 2018] is a MIT licensed software package for dealing with Functional Mock-up Units (FMUs) on the JVM. It support both import and export of FMUs.…”

Section: Related Workmentioning

confidence: 99%

“…Furthermore, FMUs generated with these tools may not support the optional parts of the standard such as state handling, which are required by some more advanced co-simulation algorithms in order to achieve better numerical accuracy and stability during simulations [Broman et al, 2013, Cremona et al, 2016, Tavella et al, 2016. Python [Van Rossum et al, 2007] is one of the most popular programming language today [O'Grady, 2020]. The major reasons for that are the ease of learning the language, the huge spectra of libraries covering fields such as video game, machine learning, web server or scientific computing and the recent explosion of data science in which Python plays a central role.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Enabling Python Driven Co-Simulation Models With PythonFMU

Hatledal¹,

Zhang²,

Collonval³

2020

ECMS 2020 Proceedings Edited by Mike Steglich, Christian Mueller, Gaby Neumann, Mathias Walther

Self Cite

View full text Add to dashboard Cite

This paper introduces PythonFMU, an easy to use framework for exporting Python 3.x code as cosimulation compatible models compliant with version 2.0 of the Functional Mock-up Interface (FMI). The framework consists of a set of helper classes and a command line utility for transforming compliant python source into ready to use cross-platform FMUs. PythonFMU seamlessly takes care of a number of lowlevel FMI functions such as getting and setting variable values, and state handling, including serialization and deserialization. Furthermore it provides pre-built binaries for Windows and Linux 64-bits, generates the required modelDescription.xml containing meta-data about the model and packages all related files into a Functional Mock-up Unit (FMU)-ready to be imported into any FMI compatible simulation tool. The framework can be effortlessly installed using de-facto standard Python package managers pip and conda. While PythonFMU is more geared towards ease of use and enabling Python driven co-simulation models, it is shown to have adequate performance compared to much more low-level alternatives targeting other programming languages.

show abstract

“…FMI4j [Hatledal et al, 2018] is a MIT licensed software package for dealing with Functional Mock-up Units (FMUs) on the JVM. It support both import and export of FMUs.…”

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Enabling Python Driven Co-Simulation Models With PythonFMU

Hatledal¹,

Zhang²,

Collonval³

2020

ECMS 2020 Proceedings Edited by Mike Steglich, Christian Mueller, Gaby Neumann, Mathias Walther

Self Cite

View full text Add to dashboard Cite

show abstract

“…The JVM implementations is written in Kotlin and rely on FMI4j (Hatledal et al, 2018) for interacting with FMUs. FMI4j supports FMI 2.0 for CS and ME.…”

Section: Jvmmentioning

confidence: 99%

“…• While FMI has been implemented in several languages, such as C (JModelica, 2017;QTronic, 2014), C++ Hatledal, 2018), Python (Dassault Systems, 2017;Andersson et al, 2016) and Java (Hatledal et al, 2018;Cortes Montenegro, 2014;Broman et al, 2013), out-of-the-box support for FMI is still missing in many languages.…”

Section: Introductionmentioning

confidence: 99%

FMU-proxy: A Framework for Distributed Access to Functional Mock-up Units

Hatledal¹,

Zhang²,

Styve³

et al. 2019

EasyChair Preprints

Self Cite

View full text Add to dashboard Cite

The main goal of the Functional Mock-up Interface (FMI) standard is to allow simulation models to be shared across tools. To accomplish this, FMI relies on a combination of XML-files and compiled C-code packaged in a zip archive. This archive is called an Functional Mock-up Unit (FMU) and uses the extension \textit{.fmu}. In theory, an FMU can support multiple platforms, however this is not always the case and depends on the type of binaries the exporting tool was able to provide. Furthermore, a library providing FMI support may not be available in a particular language, and/or it may not support the whole standard. Another issue is related to the protection of Intellectual Property (IP). While an FMU is free to only provide the C-code in binary form, other resources shipped with the FMU may be unprotected.In order to overcome these challenges, this paper presents FMU-proxy, an open-source framework for accessing FMUs across languages and platforms. This is done by wrapping one or more FMUs behind a server program supporting multiple language independent Remote Procedure Call (RPC) technologies over several network protocols. Currently, Apache Thrift (TCP/IP, HTTP), gRPC (HTTP/2) and JSON-RPC (HTTP, WebSockets, TPC/IP, ZeroMQ) are supported. Together, they allow FMUs to be invoked from virtually any language on any platform. As users don't have direct access to the FMU or the resources within it, IP is more effectively protected.

show abstract

“…• While FMI has been implemented in several languages, such as C (JModelica, 2017; QTronic, 2014), C++ Hatledal, 2018), Python (Dassault Systems, 2017;Andersson et al, Proceedings of the 13 th International Modelica Conference DOI March 4-6, 2019, Regensburg, Germany 10.3384/ecp1915779 2016) and Java (Hatledal et al, 2018;Cortes Montenegro, 2014;Broman et al, 2013), out-of-the-box support for FMI is still missing in many languages.…”

Section: Introductionmentioning

confidence: 99%

FMU-proxy: A Framework for Distributed Access to Functional Mock-up Units

Hatledal¹,

Zhang²,

Styve³

et al. 2019

Linköping Electronic Conference Proceedings

Self Cite

View full text Add to dashboard Cite

The main goal of the Functional Mock-up Interface (FMI) standard is to allow simulation models to be shared across tools. To accomplish this, FMI relies on a combination of XML-files and compiled C-code packaged in a zip archive. This archive is called an Functional Mock-up Unit (FMU) and uses the extension .fmu. In theory, an FMU can support multiple platforms, however this is not always the case and depends on the type of binaries the exporting tool was able to provide. Furthermore, a library providing FMI support may not be available in a particular language, and/or it may not support the whole standard. Another issue is related to the protection of Intellectual Property (IP). While an FMU is free to only provide the C-code in binary form, other resources shipped with the FMU may be unprotected. In order to overcome these challenges, this paper presents FMU-proxy, an open-source framework for accessing FMUs across languages and platforms. This is done by wrapping one or more FMUs behind a server program supporting multiple language independent Remote Procedure Call (RPC) technologies over several network protocols. Currently, Apache Thrift (TCP/IP, HTTP), gRPC (HTTP/2) and JSON-RPC (HTTP, WebSockets, TPC/IP, ZeroMQ) are supported. Together, they allow FMUs to be invoked from virtually any language on any platform. As users don't have direct access to the FMU or the resources within it, IP is more effectively protected.

show abstract

FMI4j: A Software Package for working with Functional Mock-up Units on the Java Virtual Machine

Cited by 5 publications

References 10 publications

Enabling Python Driven Co-Simulation Models With PythonFMU

Enabling Python Driven Co-Simulation Models With PythonFMU

FMU-proxy: A Framework for Distributed Access to Functional Mock-up Units

FMU-proxy: A Framework for Distributed Access to Functional Mock-up Units

Contact Info

Product

Resources

About