Real-time manufacturing data can help to predict the condition of production machines and peripheral equipment. However, not every machine has the system to collect and analyse the condition of a machine. Furthermore, it is hard to gain data from non-networked devices, especially from old ones, as well as to integrate different types of manufacturing equipment.
This technology offer is a SaaS and hardware solution for real-time data collection and analysis. The modular hardware provides an interface for communication channels and protocols of all industrial equipment. Hence, it makes every type of new or old production and peripheral equipment integrable. Upon the data collection from the universal hardware, the platform will analyse the data using deep-learning algorithm, generating detailed production information.
The technology owner is keen to out-license its solution and looking for collaboration with partners in plastics manufacturing (especially for injection moulding), textile industry, and IHLs for further applications.
The solution includes both hardware and platform:
The solution can be further customised based on customers’ requirements.
This technology can be applied in various industries such as plastics, metal and food manufacturing companies to achieve cost reduction and better efficiency with collection and analysis of data from production machines and peripherals.
This solution can also be useful to the old machines, which do have in-built data collection solution. The universal hardware can be integrated to the old machines to extract the data without additional sensors.
The benefits of the solution include: