In this article we will address a crucial topic for the comprehensive optimization of processes in any company or organization: the collection of industrial plant data. This practice is essential for optimal management that takes the business to another level within its industry, allowing for greater success in its market niche.
To obtain effective optimization measures in the short, medium and long term, it is essential to have:
- Accurately collected data
- Data correctly compressed
- Data archived appropriately
The first thing to understand about data collection is that it must be valid. Information must be temporally accurate, stored and coordinated across the system, and carefully compressed and archived.
It is crucial that data obtained by sensors and machines is managed according to standardized rules. If time stamps or units of measurement are misinterpreted, the effort to optimize processes will be in vain and will result in obsolete measurements. Thus, the starting point of any optimization process must be to ensure a valid and reliable database, maintained throughout the life of the company.
For proper data collection for future optimization, the following questions must be answered:
- What data is needed?
- In what format should they be worked on?
- How can they be obtained reliably?
- How should they be compressed and archived to maintain high quality?
- What can be achieved by collecting industrial plant data?
La recogida de datos es crucial para optimizaciones a corto, mediano y largo plazo. A continuación, se detallan los principales alcances de esta práctica:
#1 Optimizing Team Performance
For the equipment to deliver optimal performance, a specific strategy and a detailed plan are required, which is achieved with an adequate amount of data. This process requires a constant and periodic evaluation of the archived data, which must be available at all times for the corresponding studies.
#2 Quality Assurance
In manufacturing or assembly companies, it is vital to answer the question: Which batch will be produced and under what conditions? Data collection is essential to optimise the quality and distribution of goods and energy. Detecting weak points is only possible when interrelations and developments are visualised in detail, which requires rapid and simultaneous access to a large amount of data.
#3 Project Documentation
Creating automation projects can require a lot of knowledge, time and energy, especially when it comes to documentation. With the right technology and software, it is possible to create accurate documentation automatically.
Conclusion
As you can see, industrial plant data collection is essential for process optimization, equipment performance, quality assurance, and accurate project documentation. To achieve effective data collection geared toward optimization, we have presented some tips in this article. Stay tuned for our upcoming posts to expand on these topics and more.