Yokogawa Advances Process Automation with Next-Gen Centum DCS and Shell Robotics Collaboration
Process manufacturing industries are rapidly transitioning toward autonomous operations by combining upgraded distributed control architectures with intelligent robotic inspection systems.
Managing mission-critical, continuous processes in chemical plants, refineries, and large-scale industrial facilities requires deterministic control layers capable of mitigating downtime and optimizing safety parameters. To meet changing industry demands for heightened operational resilience and reduced operator workloads, Yokogawa has launched its next-generation process automation platform, Centum VP Release 7. This updated distributed control system delivers a comprehensive package that unifies engineering configuration, automated commissioning tools, advanced alarm management, and a high-performance human-machine interface development runtime into a scalable, secure architecture. By expanding raw control capacity and optimizing real-time data collection pipelines, this release allows plant operators to manage complex field hardware configurations from a highly synchronized, enterprise-wide control interface.
The architectural core of this next-generation DCS focuses heavily on facilitating seamless connectivity across disparate industrial networks. Centum VP Release 7 integrates native OPC UA communication protocols, allowing the control layer to exchange telemetry securely with external manufacturing execution systems and predictive analytics software. Additionally, multiple database integration capabilities allow the platform to aggregate historical process variables alongside live sensor streams, forming the foundation for comprehensive predictive monitoring dashboards. These data-driven enhancements provide field technicians with early warnings regarding anomalous process excursions or imminent equipment degradation, altering the traditional reactive maintenance lifecycle into a highly structured, prescriptive framework that directly improves overall equipment effectiveness.
Simultaneously, Yokogawa is expanding the boundaries of traditional plant monitoring by partnering with Shell Global Solutions to commercialize an autonomous, vision-guided robotic solution. This technical venture bridges physical asset inspection with advanced artificial intelligence by embedding Shell's specialized Operator Round by Exception machine vision tools directly into Yokogawa's OpreX Robot Management Core platform. The integrated software suite will be deployed across fleet assets including quadrapedal robots and unmanned aerial drones to automate repetitive, high-risk facility rounds. These autonomous units are tasked with executing objective mechanical inspections, such as verifying analog pressure gauge alignment, conducting optical gas imaging to detect volatile organic leaks, and recording acoustic anomalies in rotating machinery. Initial testing and algorithm calibration are underway at the Energy Transition Campus in Amsterdam, utilizing a collaborative infrastructure designed to accelerate proof-of-concept validation for heavy industrial environments.
By integrating robust field-level robotics with centralized distributed control infrastructure, Yokogawa and Shell establish an objective methodology for managing large-scale infrastructure risks. Transitioning mundane, highly repetitive data acquisition routines to autonomous robotic platforms minimizes human exposure to hazardous thermal and chemical environments while eliminating subjective variability in field documentation. This dual-track advancement—upgrading the deterministic reliability of the core industrial PLC and DCS layers while capitalizing on mobile machine vision intelligence—provides B2B procurement managers and operations executives with a clear path toward reliable facility modernization, lowering overall operational expenditure while securing continuous, high-yield manufacturing performance.
Written by: Arthur Vance, a senior process control architect with over fifteen years of experience engineering distributed control systems, configuring SCADA network security topologies, and integrating advanced industrial robotics for global petrochemical and refining enterprises.