JGC JAPAN CORPORATION

https://www.integnance-vr.brownreverse.com/

Japan exhibitors
Real & Online

INCHEM TOKYO 2025
Operation & Maintenance, Monitoring, DX
Booth number 6-A17

The JGC Group offers diverse solutions to support equipment maintenance and factory digital transformation. We help you take the first step toward realizing smart factories with solutions like the 3D viewer “INTEGNANCE VR” and the plant-specific chatbot “Nabiko.” On the day of the event, we will introduce the features of each solution through demonstrations.

Exhibited products (English)	JGC Group Brown Reverse/3D Viewer “INTEGNANCE VR” By annotating (tagging relevant data) 360° panoramic photos capturing the entire existing plant, it visualizes the interrelationships between equipment and components—essentially creating a “Street View within the plant.” This enables rapid visual access to all plant information, significantly streamlining the operation and maintenance tasks of practitioners managing vast sites. Building on this product, while incorporating customer needs, we also plan to develop and deploy additional features as SaaS solutions. These will leverage the plant engineering expertise cultivated by the JGC Group over the years, enabling operations simulation and predictive maintenance based on spatial data.

Exhibited products (English)

JGC Group Brown Reverse/3D Viewer “INTEGNANCE VR” By annotating (tagging relevant data) 360° panoramic photos capturing the entire existing plant, it visualizes the interrelationships between equipment and components—essentially creating a “Street View within the plant.” This enables rapid visual access to all plant information, significantly streamlining the operation and maintenance tasks of practitioners managing vast sites. Building on this product, while incorporating customer needs, we also plan to develop and deploy additional features as SaaS solutions. These will leverage the plant engineering expertise cultivated by the JGC Group over the years, enabling operations simulation and predictive maintenance based on spatial data.

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