Use of open-source software platform to develop dashboards for control and automation of flow chemistry equipment

Westhuizen, C. Johan van der; Toit, Jurie du; Neyt, Nicole C.; Riley, Darren L.; Panayides, Jenny‐Lee

doi:10.1039/d2dd00036a

Cited by 6 publications

(5 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Notably, recent advancements in the user interface design for MAP have primarily been tailored to receiving a single job within an OS. 13,14,[19][20][21][22][23][24] However, the ability to accommodate multiple job submissions concurrently is paramount in enhancing the e ciency of a MAP. 25 Thus, the interface node, bolstered by a multithread pool, enables numerous clients to seamlessly request remote experiments across multiple applications, akin to a computing server (Fig.…”

Section: Resultsmentioning

confidence: 99%

“…Recent studies advocate for the development of a user-friendly web-based interface accessible to both experimental researchers and computational experts. 14,19,22,24 Moreover, the integration of extended reality, virtual reality and augmented reality could enhance the accessibility and usability of OCTOPUS in the future. [46][47][48] In conclusion, OCTOPUS embodies a multifaceted solution that has been engineered to overcome the challenges inherent in MAP accessed by multiple users, OCTOPUS embodies a multifaceted solution.…”

Section: Discussionmentioning

confidence: 99%

“…However, the development of an OS for multiuser systems has posed challenges to standardized methodologies, primarily stemming from equipment heterogeneity, platform delocalization and safety concerns. [19][20][21][22][23][24][25][26][27] Thus, there is a pressing need for extensive research to develop an advanced OS for MAP accessed by multiple users.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

OCTOPUS: Operation Control System for Task Optimization and Job Parallelization via a User-Optimal Scheduler

Han,

Yoo,

Lee

et al. 2024

Preprint

View full text Add to dashboard Cite

The materials acceleration platform (MAP), empowered by robotics and artificial intelligence, is a transformative approach for expediting material discovery processes across diverse domains. However, the development of an operating system for MAP faces challenges in simultaneously managing diverse experiments from multiple users. Specifically, when MAP is utilized by multiple users, the overlapping challenges of experimental modules or devices can lead to inefficiencies in both resource utilization and safety hazards. To overcome these challenges, we present an operation control system for MAP, namely, OCTOPUS, which is an acronym for operation control system for task optimization and job parallelization via a user-optimal scheduler. OCTOPUS streamlines experiment scheduling and optimizes resource utilization through integrating its interface node, master node and module nodes. Leveraging process modularization and a network protocol, OCTOPUS ensures the homogeneity, scalability, safety and versatility of MAP. In addition, OCTOPUS embodies a user-optimal scheduler. Job parallelization and task optimization techniques mitigate delays and safety hazards within realistic operational environments, while the closed-packing schedule algorithm efficiently executes multiple jobs with minimal resource waste. This work offers a solution to the challenges encountered within MAP accessed by multiple users, and thereby will facilitate its widespread adoption in material development processes.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

OCTOPUS: Operation Control System for Task Optimization and Job Parallelization via a User-Optimal Scheduler

Han,

Yoo,

Lee

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…To further automate control of the platform, a more recent version used an Arduino to initiate sampling events [89]. A similar platform for reaction monitoring with on-line LC-DAD analysis using the Node-RED programming platform operating on a Raspberry Pi has also been demonstrated [90]. As more research groups develop home-built automated synthetic reaction platforms, the implementation of micro-controllers and single-board computers for controlling these systems will likely continue to grow.…”

Section: Autosamplers Valving and Other System Controlmentioning

confidence: 99%

The utilization of open‐source microcontroller boards and single‐board computers in liquid chromatography

Piccolo,

Foster,

Parker

et al. 2024

J of Separation Science

View full text Add to dashboard Cite

Electronic system control of analytical instrumentation remains a critical aspect of modern measurement science. Within the field of liquid chromatography (LC), this is especially relevant for automation, module operation, detection, data acquisition, and data analysis. Increasingly, home‐built analytical tools used for liquid‐phase separations rely upon open‐source microcontrollers and single‐board computers to aid in simplifying these operations. In this review, we detail literature reported within the past 5 years in which these types of devices were used to advance various aspects of the LC research field, including sample preparation, instrument control, and data collection.

show abstract

“…Here, the developments of O'Brien et al [9], Ingham et al [10], and Steiner et al [11] can be mentioned. Recently, van der Westhuizen et al [12] presented an approach to monitor and control flow chemistry reactors using open-source software. They used the Node-RED platform [13] to develop dashboards, which is similar to LabVIEW.…”

Section: Introductionmentioning

confidence: 99%

Data Management of Microscale Reaction Calorimeter Using a Modular Open-Source IoT-Platform

et al. 2023

View full text Add to dashboard Cite

Unifying research data collection methods and capturing data streams in an organized and standardized manner are becoming increasingly important in laboratories as digital processes and automation progressively shape the laboratory workflows. In this context, the Internet of Things (IoT) not only offers the opportunity to minimize time-consuming and repetitive tasks by delegating them to machines, but it also supports scientists in curating data. As a contribution to the establishment of IoT tools in academic research laboratories, a microscale reaction calorimeter is exemplarily connected to a modular open-source IoT-platform. The microcalorimeter’s process data is streamed to the data platform for data repository and analysis. Advantages of the platform from academia’s point of view are presented. Finally, the application of the platform was successfully tested with the hydrolysis of acetic anhydride. The data were accessed and analyzed exclusively via the IoT-platform, which provided important advantages for the operator in terms of standardized evaluation in just a few steps.

show abstract

Use of open-source software platform to develop dashboards for control and automation of flow chemistry equipment

Abstract: We report the development of an open-source software approach to monitor and control flow chemistry reactors from any smart device. The dashboard server can be run on a low-cost Raspberry...

Cited by 6 publications

References 33 publications

OCTOPUS: Operation Control System for Task Optimization and Job Parallelization via a User-Optimal Scheduler

OCTOPUS: Operation Control System for Task Optimization and Job Parallelization via a User-Optimal Scheduler

The utilization of open‐source microcontroller boards and single‐board computers in liquid chromatography

Data Management of Microscale Reaction Calorimeter Using a Modular Open-Source IoT-Platform

Contact Info

Product

Resources

About