The ongoing technological evolution poses new challenges for modern companies. Production models are undergoing a profound transformation towards Industry 4.0, based on the networking of all assets in the value chain and the analysis of big data generated by processes.
These changes require the adoption of cutting-edge network infrastructures capable of securely and resiliently enabling the exchange of large volumes of real-time data between even heterogeneous systems. Only widespread, high-performance networks enable the pervasive monitoring and control required for advanced process automation and production flexibility.
A fundamental role is played by the design and implementation of industrial networking systems and the design and implementation of network infrastructures that integrate legacy and modern technologies, such as IP and SDH, providing reliable connectivity to sensors, robots, lines, and distributed machinery. But that’s not all: the potential of cloud computing must be fully exploited to enable advanced digital services such as video surveillance and real-time security.
There are multiple solutions for providing manufacturing processes with the connectivity necessary for Industry 4.0 transformation. A design that is attentive to the real needs of customers is a prerequisite for successful implementation.
The transformation of production models towards Industry 4.0 entails significant changes in the architecture of the digital factory.
Expertise gained in the development and management of complex IT/OT networks and systems that are critical to business operations enables the design, implementation, and management of critical digital infrastructures to enable the digitization of operational processes through advanced networks.
A crucial aspect is the design and implementation of IP (packet switching) and SDH (time-division multiplexing, still used in urban and industrial settings) network systems capable of ensuring seamless and continuous data exchange between multiple corporate assets, from robotic machinery to automated assembly lines.
Industrial networks must be able to adapt to the technological diversity of existing systems, flexibly integrating legacy and more modern solutions. Only widespread and capillary networks can ensure access to information flows generated in real time at factory scale. Networks must pervasively reach all production stations within the plant, such as lines, machinery, and cells, in order to collect diagnostic data, measurements, and alarms from the numerous connected devices in real time.
This vast amount of data, if properly managed, enables advanced applications such as predictive maintenance based on Big Data analytics, advanced production performance monitoring and tracking, and machine-to-machine interconnection for automated and flexible workflows. Furthermore, distributed cloud computing architecture ensures centralized data acquisition and aggregation for continuous process supervision and optimization. Only through next-generation networks can industry achieve the levels of flexibility, mass customization, and time-to-market that distinguish Industry 4.0.
IP and SDH networks play a fundamental role in industrial networking systems, particularly for the transport of data generated in complex production environments.
The design and implementation of ICT solutions targeted at contexts with high reliability requirements enables the creation of flexible and resilient networks capable of openly integrating with existing technologies. This is achieved through the development of virtualized infrastructures that leverage both IP and legacy SDH technologies to ensure a level of continuous operation that is essential in business-critical sectors such as industry.
In other words, the development of virtualized network infrastructures—ones capable of flexibly and elastically managing computing, storage, and bandwidth resources and makes it possible to integrate both modern packet-switched IP technologies and legacy time-division transport protocols such as SDH into a single logical architecture.
This is achieved by creating hybrid connectivity layers that leverage the advanced routing capabilities of IP for data backhaul, while simultaneously ensuring reliability and security in the transport of SDH flows sensitive to delays or packet losses.
This approach allows for maintaining high performance standards even in the event of failures or upgrades, ensuring operational continuity, which is essential for continuous-cycle production sectors such as manufacturing, where even brief interruptions can have significant economic repercussions.
These networking solutions, through their ability to access, transport, and consolidate data on a large scale, enable process reengineering towards Industry 4.0 models. This is achieved by quickly acquiring and sharing information from numerous company assets, from robots to automated lines, paving the way for flexible, sustainable, and highly responsive production models.
The design and implementation of Industrial Networking is therefore a core skill for effective digital transformation applied to the operational processes typical of advanced manufacturing.
Modern video surveillance and security platforms leverage the power of cloud computing to deliver advanced services. By designing and implementing highly reliable networks that connect distributed locations to virtualized data centers, it is possible to centralize video streams from cameras positioned at key points within production facilities.
These industrial networking systems enable the acquisition, recording, and processing of high-resolution images in real time by intelligent video surveillance applications. Leveraging computer vision and artificial intelligence algorithms, they enable advanced anomaly detection, traffic flow measurement, and license plate recognition capabilities.
Thanks to geographically redundant networks that ensure high standards of reliability and security, end-to-end encrypted operations, and consistent performance even under heavy traffic, users can access services from any connected location for control, supervision, and reporting purposes.
The design and implementation of industrial networking systems therefore becomes an essential prerequisite for enabling advanced digital platforms for corporate and personnel protection in any industrial setting.
© 2025 Sysnet S.r.l. | P.IVA 12548250153 – capitale sociale i.v. € 1.000.000,00 – Privacy & Cookie Policy