Developing infrastructure for industrial IoT and cyber-physical systems

An analysis of the architecture, key challenges, and modern technological solutions for building a reliable industrial internet of things infrastructure.

According to Statista forecasts, the global industrial IoT (IIoT) market will reach $1.4 trillion by 2030. The rapid integration of physical and digital processes requires a reliable infrastructure for cyber-physical systems (CPS).

Architecture and challenges of IIoT implementation

A typical CPS architecture consists of four layers: devices (real-time data collection), connectivity (transmission via 5G, Wi-Fi, LoRaWAN, etc.), processing (cloud or edge computing), and applications (management and analytics). Implementing such systems comes with several infrastructure challenges:

  • Scalability: processing large volumes of data from thousands of sensors.
  • Reliability: ensuring uninterrupted production operations.
  • Cybersecurity: protecting industrial networks from external threats.
  • Integration: compatibility with legacy systems (ERP, MES).

The role of cloud technologies and practical solutions

Hybrid and cloud infrastructures help solve scalability issues. Edge computing technology allows data to be processed directly at the source, reducing latency in critical processes.

Ukrainian IT companies are actively developing this sector. The AZIOT platform provides device integration via MQTT, Modbus, and BACnet protocols to automate industrial facilities. Softengi specialists develop custom software and edge solutions to optimize computing. Cloud integrator SL Global Service provides migration, hybrid infrastructure support, cybersecurity, and backup services to ensure the uninterrupted operation of CPS.

Implications for business

The rapid expansion of the IIoT market forces traditional industries to quickly modernize their legacy systems or risk operational downtime. For the IT sector, this shift creates a growing demand for specialized hybrid cloud architectures, edge computing solutions, and robust cybersecurity services to protect critical industrial networks.

Recommendations

  • Deploy edge computing: Process data directly at the source to reduce latency in critical industrial operations.
  • Utilize hybrid cloud infrastructures: Combine local systems with cloud platforms to solve scalability issues and ensure reliable backups.
  • Standardize integration: Use proven protocols like MQTT, Modbus, and BACnet to safely connect legacy equipment with modern applications.
  • Partner with specialized integrators: Work with experienced IT partners to manage cloud migration, infrastructure support, and cybersecurity.cybersecurity.

Prepared by a Software Ukraine member. Original publication.

Sources & materials

Materials and sources used in this article.

  1. Original publication — intecracy.com