With the frenetic evolution of digital technologies and channels, it is considered that, after the three stages of industrialisation, we have now entered the next one. In this order, we are now in the Fourth Industrial Revolution, a period also referred to as Industry 4.0.
In these new times, the organisational models of the means of production have changed completely. It is a connected industry in which data and data analysis (Big Data) have become central to any project.
Maximum digitisation, much more data
Despite the progress made in recent years, Industry 4.0 is still in the process of consolidation. The different actors involved are adapting at different paces. But they are all doing so in the knowledge that no digitisation strategy can turn its back on data analytics.
For example, by treating data in the right way, it is possible to create detailed reports on everything that happens in a factory or to establish Artificial Intelligence (AI) algorithms capable of reacting in real time to unforeseen production events and even predicting them.
In this context and circumstances, PICVISA has emerged as a key partner in the automation race characteristic of Industry 4.0 in the waste management and sorting sector. Thanks to a firm commitment to innovation, the company has been able to convert sorting machines into connected devices that generate data throughout the process, such as:
- Performance metrics for equipment optimisation.
- Impacts on operating costs.
- Information on the status of parts.
- Variance recording.
- The quality of incoming batches and outgoing recovery rate.
This data, when processed, translates into several benefits such as the possibility of carrying out predictive maintenance to prevent unscheduled machine downtime. By being able to monitor the condition and performance of the machine almost instantly, detect production failures and analyse their possible causes, downtime is reduced.
In addition, production is maximised as, by assessing any variations, sorting equipment can be optimised quickly.
Ultimately, data analysis leads to an improvement in the quality of material sorting.
From machines to smart assets through data
However, we are in an industrial era in which companies need to move from offering machines to intelligent assets.
In this spirit, PICVISA offers solutions based on robotics, intelligence and artificial vision with its own software. The company does not simply sell the machine, but accompanies it with a subscription service, adapted to the needs and requirements of each case, which turns sorting equipment into connected devices that generate valuable process data.
The data is collected and stored securely. This allows customers to access it from any location and device.
The relevance of the service is confirmed by the ability to monetise all the data generated and recorded, converting it into information for decision-making with a certain economic value associated with it.