Enabling Automated Integration Testing of Smart Farming Applications via
Digital Twin Prototypes
- URL: http://arxiv.org/abs/2311.05748v1
- Date: Thu, 9 Nov 2023 21:24:12 GMT
- Title: Enabling Automated Integration Testing of Smart Farming Applications via
Digital Twin Prototypes
- Authors: Alexander Barbie, Wilhelm Hasselbring, Malte Hansen
- Abstract summary: Industry 4.0 and smart farming are closely related, as many of the technologies used in smart farming are also used in Industry 4.0.
Digital twins have the potential for cost-effective software development of such applications.
We present a case study for employing our Digital Twin Prototype approach to automated testing of software.
- Score: 49.44419860570116
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Industry 4.0 represents a major technological shift that has the potential to
transform the manufacturing industry, making it more efficient, productive, and
sustainable. Smart farming is a concept that involves the use of advanced
technologies to improve the efficiency and sustainability of agricultural
practices. Industry 4.0 and smart farming are closely related, as many of the
technologies used in smart farming are also used in Industry 4.0. Digital twins
have the potential for cost-effective software development of such
applications. With our Digital Twin Prototype approach, all sensor interfaces
are integrated into the development process, and their inputs and outputs of
the emulated hardware match those of the real hardware. The emulators respond
to the same commands and return identically formatted data packages as their
real counterparts, making the Digital Twin Prototype a valid source of a
digital shadow, i.e. the Digital Twin Prototype is a prototype of the physical
twin and can replace it for automated testing of the digital twin software. In
this paper, we present a case study for employing our Digital Twin Prototype
approach to automated testing of software for improving the making of silage
with a smart farming application. Besides automated testing with continuous
integration, we also discuss continuous deployment of modular Docker containers
in this context.
Related papers
- Continuous-Time Digital Twin with Analogue Memristive Neural Ordinary Differential Equation Solver [32.092112495189156]
Digital twins, the cornerstone of Industry 4.0, replicate real-world entities through computer models.
Recent advances in machine learning provide data-driven methods for developing digital twins.
We introduce a memristive neural ordinary differential equation solver for digital twins.
arXiv Detail & Related papers (2024-06-12T15:50:35Z) - From Digital Twins to Digital Twin Prototypes: Concepts, Formalization,
and Applications [55.57032418885258]
There is no consensual definition of what a digital twin is.
Our digital twin prototype (DTP) approach supports engineers during the development and automated testing of embedded software systems.
arXiv Detail & Related papers (2024-01-15T22:13:48Z) - Embedded Software Development with Digital Twins: Specific Requirements
for Small and Medium-Sized Enterprises [55.57032418885258]
Digital twins have the potential for cost-effective software development and maintenance strategies.
We interviewed SMEs about their current development processes.
First results show that real-time requirements prevent, to date, a Software-in-the-Loop development approach.
arXiv Detail & Related papers (2023-09-17T08:56:36Z) - Comparison between the HUBCAP and DIGITBrain Platforms for Model-Based
Design and Evaluation of Digital Twins [0.1957338076370071]
This paper compares two platforms, namely the HUBCAP and the DIGITbrain.
Both platforms have been and continue to be used among a stable group of researchers and industrial product manufacturers of digital twin technologies.
arXiv Detail & Related papers (2022-12-15T13:39:15Z) - The Digital Twin Landscape at the Crossroads of Predictive Maintenance,
Machine Learning and Physics Based Modeling [14.781000287006755]
The history of the term digital twin is explored, as well as its initial context in the fields of product life cycle management, asset maintenance, and equipment fleet management, operations, and planning.
The application of a digital twin framework is highlighted in the field of predictive maintenance, and its extensions utilizing machine learning and physics based modeling.
arXiv Detail & Related papers (2022-06-21T15:17:10Z) - Digital Twins: State of the Art Theory and Practice, Challenges, and
Open Research Questions [62.67593386796497]
This work explores the various DT features and current approaches, the shortcomings and reasons behind the delay in the implementation and adoption of digital twin.
The major reasons for this delay are the lack of a universal reference framework, domain dependence, security concerns of shared data, reliance of digital twin on other technologies, and lack of quantitative metrics.
arXiv Detail & Related papers (2020-11-02T19:08:49Z) - Integrated Benchmarking and Design for Reproducible and Accessible
Evaluation of Robotic Agents [61.36681529571202]
We describe a new concept for reproducible robotics research that integrates development and benchmarking.
One of the central components of this setup is the Duckietown Autolab, a standardized setup that is itself relatively low-cost and reproducible.
We validate the system by analyzing the repeatability of experiments conducted using the infrastructure and show that there is low variance across different robot hardware and across different remote labs.
arXiv Detail & Related papers (2020-09-09T15:31:29Z) - Man, machine and work in a digital twin setup: a case study [77.34726150561087]
A digital twin as a virtual counterpart of a physical human-robot assembly system is built as a front-runner for validation and control through design, build, and operation.
The forms of digital twins along the system life cycle, the building blocks, and potential advantages are presented.
arXiv Detail & Related papers (2020-06-15T20:54:43Z) - The role of surrogate models in the development of digital twins of
dynamic systems [0.0]
Digital twin technology has significant promise, relevance and potential of widespread applicability.
Digital twins are expected to exploit data and computational methods.
We have explored the possibility of using surrogate models within the digital twin technology.
arXiv Detail & Related papers (2020-01-25T10:48:35Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.