A Lightweight Web3D Digital Twin Framework for Real-Time ESG Monitoring Using IoT Sensors
IoTセンサーを用いたリアルタイムESGモニタリングのための軽量Web3Dデジタルツインフレームワーク (AI 翻訳)
Thepparit Sinthamrongruk, Keshav Dahal, N. Harnpornchai
🤖 gxceed AI 要約
日本語
本研究は、IoTセンサーネットワークとブラウザネイティブの3D可視化を統合した軽量なWeb3Dデジタルツインフレームワークを提案する。60台のセンサーを用いた12ヶ月の実環境での検証により、66 FPSのレンダリング、78 msのシステム遅延、98%のセンサーデータ一貫性を達成し、環境異常の早期検出と空気品質・照明条件の改善に貢献した。このフレームワークは、リアルタイムESGモニタリングを実現する実用的なソリューションを提供する。
English
This study proposes a lightweight Web3D digital twin framework that integrates IoT sensors and browser-native 3D visualization for real-time ESG monitoring. Validated in a 12-month deployment with 60 sensors, it achieved 66 FPS rendering, 78 ms latency, and 98% data consistency, enabling timely detection of environmental anomalies and improvements in air quality and lighting. The framework offers a practical solution for real-time sustainability monitoring in smart buildings.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本のスマートビルディングやESG開示の文脈では、リアルタイムモニタリングによるデータ品質向上が期待される。ただし、本フレームワークはWELL基準に準拠しており、日本のESG報告（例：有報、統合報告書）との直接的な連携は示されていない。日本のGX政策（例：GXリーグ）におけるデータ基盤として活用可能性はあるが、具体的な実装には追加の調整が必要。
In the global GX context
Globally, this framework contributes to the growing trend of integrating IoT and digital twins for ESG monitoring. However, it aligns with the WELL Building Standard rather than major climate disclosure frameworks like TCFD or ISSB. Its lightweight, browser-native architecture could lower barriers for real-time ESG data collection in smart buildings, appealing to corporate sustainability teams seeking operational improvements.
👥 読者別の含意
🔬研究者:Provides a validated technical architecture for real-time ESG monitoring using Web3D and IoT, including performance metrics.
🏢実務担当者:Offers a deployable, browser-native solution for monitoring electricity consumption and environmental indicators in buildings.
📄 Abstract（原文）
Existing Environmental, Social, and Governance (ESG) monitoring approaches rely primarily on static reports and dashboard-based interfaces, limiting real-time analysis and interactive exploration of sustainability data in complex built environments. In addition, current digital twin systems often lack integration with IoT-based sensing or depend on cloud-based rendering infrastructures, increasing deployment complexity and restricting accessibility. This study proposes a lightweight Web3D-based digital twin framework for real-time ESG monitoring in smart buildings. The system integrates an independently developed IoT sensor network with a browser-native 3D visualization platform, enabling real-time monitoring of ESG indicators—including electricity consumption—without requiring proprietary software or dedicated rendering hardware. ESG indicators are derived using a rule-based classification aligned with the WELL Building Standard v1. The framework was validated through a 12-month real-world deployment involving 60 IoT sensors. Results demonstrate stable performance, achieving 66 FPS rendering, 78 ms system latency, and 98% sensor data consistency based on cross-sensor agreement. The system also enabled timely detection of environmental anomalies, leading to measurable improvements in air quality and lighting conditions. Unlike prior digital twin systems, the proposed framework delivers a fully browser-native, lightweight architecture that integrates real-time IoT sensing, adaptive Web3D visualization, and structured ESG monitoring within a single deployable system. This approach provides a practical solution with potential for broader deployment in real-time sustainability monitoring for smart buildings.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.3390/electronics15081736first seen 2026-05-15 18:39:15
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