Why do we as company encourge people to use DIY before buing our product?
We beleave that we live in a time where everybody could build their own custom device to support their work. Some work could be automated by switching pumps, valves or similiar devices in a specific order.
Finding a affordable device to do this job is often hard if not impossible. Since we can’t supply such a device either for several reasons, we would like to supply you some instructions to build your own data logger.
And if this still doesn’t work for you we could supply a custom made firmware for the here introduced system to work with.
Why should scientist build and use DIY data logger?
Overall, DIY data loggers offer scientists a cost-effective, customizable, and educational alternative to commercial data logging systems, enabling greater flexibility and accessibility in scientific research.
Cost efficient
Can often be built using relatively inexpensive components compared to commercially available data logging systems. This can be particularly advantageous for researchers with limited funding or those who need multiple data loggers for their experiments.
Customization
Allow scientists to tailor the hardware and software to their specific needs. This customization can include choosing the types of sensors, adjusting sampling rates, and incorporating additional features based on the requirements of the experiment.
Flexibility
Building your own data logger provides flexibility in terms of design and functionality. Scientists can experiment with different sensor configurations, communication protocols, and data storage methods to best suit their research objectives.
Rapid prototyping
Enable rapid prototyping and iteration. Researchers can quickly build and test different iterations of their data logging systems, making adjustments as needed to improve performance and efficiency.
Accessibility
Can empower researchers in regions with limited access to commercial scientific equipment. By using off-the-shelf components and open-source software, scientists can create data loggers that are more accessible to a wider range of users.
Community collaboration
There is a growing community of DIY enthusiasts and open-source developers who share designs, code, and troubleshooting tips for building data loggers. By participating in this community, scientists can benefit from collective knowledge and contribute to the improvement of DIY data logging technology.
Educational purposes
Offer a valuable educational opportunity for students and researchers to learn about electronics, programming, and data analysis. Building a data logger from scratch can enhance understanding of the underlying principles and foster creativity in problem-solving.