Smart-building structural health monitoring (SHM) requires a unified digital representation capable of integrating heterogeneous sensing devices, continuous structural states, and burst-oriented post-event assessment without embedding device-specific logic throughout the software stack. This study proposes a semantic digital twin architecture in which SensorType, DeviceProfile, and site metadata form a semantic single source of truth and generate W3C Web of Things Thing Descriptions at runtime. The resulting WoT-driven contract governs field mapping, schema-on-write persistence, generic API access, state visualization, and engineering-threshold evaluation. To accommodate heterogeneous temporal behavior, event-driven seismic assessment and state-driven construction tilt monitoring are orchestrated as distinct workflows that share persistence, notification, and observability services while retaining separate timing contracts. Controlled extension experiments required no manual data-layer, backend, ingestion, or frontend modification, with a runtime source-hash difference of zero. Under a ten-building seismic-event burst, continuous write-lag p95 changed by â20 ms from a 969 ms baseline while all event jobs completed without restart or out-of-memory conditions. The ingestion path further sustained 71,040 points/s at 300 sensors with no dropped points. These results demonstrate that WoT-driven semantic interoperability and eventâstate workflow orchestration can provide an extensible integration foundation for smart-building SHM within a clearly defined configuration boundary.
Mr. Harshal Kadam, Mr. Mayur Prajapati, Mr. Amit Yadav, Prof. Sonali Karthik
ConQuote Connect is a smart digital platform designed to solve common problems in the construction industry, such as unclear project details, payment delays, miscommunication and the difficulty of finding trustworthy contractors. It creates a single, streamlined space where builders can post their construction projects and contractors can submit structured and easy to compare quotations. A key part of the system is the use of Building Information Modeling (BIM), which allows builders to upload 3D models of their projects. These models help both parties clearly understand the scope of work and visually track progress through milestones, such as marking when the foundation, floors, or roofing are completed. To make payments more secure, transparent, and fair, ConQuote Connect uses blockchain-powered smart contracts. These contracts safely hold project funds and only release payments when a builder confirms that a milestone has been completed through the BIM model. The platform also includes AI tools that assist in comparing contractor quotes and helping builders make faster, more informed and data backed decisions. When a contractor successfully completes a project, they receive a digital certificate in the form of an NFT, which becomes part of their verifiable reputation and track record on the platform. Both builders and contractors have their own personalized dashboards to manage tasks, communicate updates, track progress and approve or verify completed work. By combining BIM, blockchain and AI in one easy to use system, ConQuote Connect offers a modern, transparent and trustworthy way to manage construction projects reducing disputes, saving time and improving industry collaboration.
Efficient material traceability and lifecycle management are essential for achieving circular utilization in indoor renovation projects. This study proposes a reversible decoration framework based on a Digital Material Cycle Map (DMCM) to support the tracking, recovery, and reuse of construction materials throughout their service lifecycle. The framework integrates Digital Product Passport concepts, RFID- and QR-based identification, distributed ledger technology, and lifecycle data management to establish a unified material information architecture. A modular and detachable construction strategy is further developed using standardized interfaces and non-destructive disassembly mechanisms, enabling efficient component recovery and reuse. In addition, a material traceability workflow is introduced to support condition assessment, lifecycle auditing, and recycling decision-making based on dynamically updated records. The framework promotes information sharing among manufacturers, designers, contractors, and recycling organizations through standardized data interfaces. By combining material identification, information transmission, and lifecycle monitoring, the proposed approach provides an engineering-oriented solution for digital material governance, intelligent sensing, and distributed infrastructure management.
The construction industry is undergoing a significant transformation with the adoption of decentralized models, which leverage distributed decision-making, collaborative networks, and advanced technologies such as blockchain, digital twins, and artificial intelligence (AI). These innovations promise enhanced transparency, efficiency, and stakeholder engagement in high- rise building projects. However, decentralization introduces unique risksâspanning technical, social, economic, legal, and environmental domainsâthat challenge traditional risk management frameworks. This research systematically identifies and categorizes these risks, emphasizing their implications for decentralized high-rise construction. Key technical risks include design clashes and quality inconsistencies due to fragmented workflows, while social risks encompass labor disputes and community opposition. Economic risks arise from budget fragmentation and supply chain volatility, legal risks stem from contractual ambiguities and regulatory non- compliance, and environmental risks involve waste mismanagement and increased carbon footprints. To address these challenges, the study proposes a comprehensive risk management framework integrating emerging technologies. For instance, Building Information Modeling (BIM) and digital twins enable real-time clash detection and quality assurance, blockchain ensures transparent and automated contract execution, and AI-driven analytics predict safety hazards and cost overruns. The framework is validated through a case study of Skyline Towers in Dubai, where decentralized strategies reduced design errors by 45% and payment delays by 80%. The research employs a mixed-methods approach, combining a systematic literature review with empirical analysis of real-world projects. Findings highlight the critical role of stakeholder alignment, hybrid governance models, and sustainable practices in mitigating risks. The study concludes with actionable recommendations for policymakers and industry practitioners, advocating for standardized digital protocols, adaptive risk governance, and proactive environmental controls. By bridging the gap between technological innovation and risk management, this research contributes a forward-looking framework to enhance resilience and efficiency in decentralized high-rise construction, ensuring sustainable urban development in an increasingly complex industry landscape.
Amer A. Hijazi, Ali Alashwal, Milad Baghalzadeh Shishehgarkhaneh, Rodrigo N. Calheiros
. The integration of Blockchain with Building Information Modelling (BIM) addresses persistent challenges of transparency, accountability, interoperability, and trust in construction. Yet, systematic insights into BlockchainâBIM implementation remain limited. This study conducts a Systematic Literature Review (SLR), identifying six lifecycle stages where integration occurs, supported by 29 workflows and 30 technical methods. Applications include blockchain-secured design reviews, provenance tracking, automated procurement, smart payments, and immutable handover records. BIM data typesâdesign metadata, cost and schedule data, IoT evidence, and compliance recordsâare mapped to smart contract functions and blockchain platforms. Key mechanisms such as hybrid on/off-chain storage, cryptographic hashing, access controls, and watermarking are comparatively analyzed. Results show permissioned platforms (e.g., Hyperledger Fabric) enable controlled collaboration, while public ones (e.g., Ethereum) support transparency and tokenization. The review provides a structured taxonomy and conceptual framework to advance theory and guide BlockchainâBIM adoption in complex construction projects.
Construction projects rely on extensive contract documents to govern payment, scheduling, change management, risk allocation, and dispute resolution. The scale and heterogeneity of these documents make contract administration largely manual, increasing the likelihood of misinterpretation, delayed actions, and governance inefficiencies. While recent advances in large language models have enabled automated clause extraction and classification, existing approaches remain disconnected from project performance metrics, standard-form contract requirements, and executable contract logic. This paper presents a retrieval-augmented contract intelligence system for end-to-end construction contract analysis and structured smart contract synthesis. The framework integrates clause extraction, semantic classification, KPI-aware importance ranking, standards alignment, discrepancy diagnostics, and constrained logic synthesis. Clause importance is quantified by mapping contract language to four key project performance indicators: cost overrun impact, schedule delay impact, cash-flow adequacy, and dispute frequency. The system was evaluated using five executed contracts from a large public owner representing general contractor, construction manager, architect-engineer, commissioning, and design-build delivery methods, comprising 588 clauses. Classification performance on a manually labeled validation subset achieved a macro-averaged F1 score of 0.55, with inter-annotator agreement of 69.17% (Cohenâs Îş = 0.52). Clause prioritization rankings remained highly stable across alternative KPI weighting scenarios (Spearman Ď > 0.98). A contract-context audit further refined standards-based missing-provision findings by distinguishing confirmed omissions from relocated or uncertain obligations. For automation outputs, constrained template-based synthesis improved smart contract quality scores from 0.8/4.0 to 3.6/4.0 relative to unconstrained generation, while execution-level validation achieved a 100% pass rate across representative trigger scenarios. The findings demonstrate that retrieval-augmented language models, when combined with structured performance reasoning and standards-aware controls, provide a scalable and explainable foundation for smart contract-enabled contract governance in construction projects.
Masoomeh Bahrami, Doyeop Lee, Namgyun Kim, JeeHee Lee
Construction safety management is fundamentally constrained by fragmented, project-specific information management systems, where worker credentials, training records, and safety-related data are dispersed across disconnected platforms. Current safety information systems typically manage worker identity verification and qualification records within organization-specific data silos, limiting interoperability across contractors, subcontractors, and project stakeholders. Such fragmented information management structures create significant challenges in multi-tier subcontracting environments, where timely access to reliable and portable safety credentials is critical for site access control, training verification, equipment authorization, and regulatory compliance monitoring. To address this gap, this study introduces a biometric-driven, self-regenerating Decentralized Identifier (DID) infrastructure designed to serve as the foundational identity layer for interoperable construction safety management systems. Considering the highly mobile and temporary nature of the construction workforce, the architecture enables workers to regenerate cryptographic identity credentials on the same enrolled device using only a fingerprintâwithout passwords, cloud dependencies, or administrative interventionâthrough a National Institute of Standards and Technology (NIST)-compliant fuzzy extractor and Schnorr zero-knowledge proofs. Experimental validation under simulated construction site conditions demonstrates sub-second authentication latency and seamless cross-project identity portability despite biometric variability and connectivity constraints. The findings suggest that the proposed infrastructure can function as a privacy-preserving and interoperable safety information management framework capable of supporting auditable safety compliance workflows, reducing redundant safety inductions, and empowering worker participation in safety reporting across general contractors, subcontractors, and regulatory auditors.
Buildings are shifting from static, environment centric control schemes toward dynamic systems that adaptively respond to individual occupants. To clarify how this transition affects building operation, this paper reviews recent advances in occupant centric control from three dimensions: physical control systems, data and network infrastructure, and occupant interaction mechanisms. The review draws from research in building science and computing and organizes key developments using the trinity of transformation, resilience, and sustainability. The results show that the shift to occupant centric requires high-density sensing, distributed data processing, interoperable protocols, and feedback models that integrate occupant behavior. The paper also discusses how concepts introduced from Web3 can support decentralized data management and long-term trust in occupant participation. This work provides a technical and conceptual basis for researchers and practitioners involved in the digital transformation of smart building operation.
While traditional AI and data-driven facilities management approaches have improved building operational efficiency, they remain constrained by centralized organizational structures that are vulnerable to cyber attacks, limited contextual understanding, and decision-making processes that exclude key stakeholders from governance. This paper introduces a novel AI- and data-driven distributed governance framework for smart building management that integrates decentralized autonomous organizations (DAOs), digital twins, large language models (LLMs), and blockchain technology. The framework enables transparent collective decision-making through a DAO governance platform, implements data-driven management using IoT and digital twins, incorporates LLM-based virtual assistants for enhanced decision support, and utilizes blockchain for secure building automation. A full-stack decentralized application was developed to facilitate user interaction with these integrated components. The system was evaluated for cost efficiency, scalability, data security, and usability using the System Usability Scale (SUS). Expert interviews were also conducted to assess its practical benefits and implementation challenges.
Traditional facility management often relies on centralized decision-making structures that limit stakeholder participation, leading to misalignment with occupant needs and reduced satisfaction. This paper proposes a novel blockchain- and Decentralized Autonomous Organization (DAO)-based framework for community-based facilities management in smart buildings. The framework comprises two key components: a decentralized governance platform that facilitates transparent collective decision-making through blockchain-based voting, and a maintenance management platform with an incentivization mechanism that encourages building occupants to actively contribute to facility upkeep through tokenized rewards. System evaluation includes cost analysis, scalability, data security considerations, usability testing, and semi-structured interviews with facility managers and researchers to assess the platform's usefulness, challenges, and adoption potential. The findings demonstrate the framework's potential as a viable incentivization solution for engaging stakeholders in the collective upkeep and improvement of building infrastructure.
Sara Antinozzi, Liliana Cecere, Francesco Colace, Angelo Lorusso ¡ 6 authors
The integration of Building Information Modelling (BIM), blockchain technology, and smart contracts presents a significant opportunity to fundamentally reevaluate the administration of information and contracts in construction projects. This article introduces a distributed system that amalgamates BIM models, decentralized storage via IPFS, semantic oracles, and smart contracts to automate essential procedures such as versioning, design verification, and payment issuance contingent upon execution milestones. This proof of concept, built on a Proof-of-Authority blockchain using actual IFC models, demonstrates the technical viability of the method and evaluates its performance, constraints, and operational implications. The applications of SAL automation and design review demonstrate that integrating off-chain verification with on-chain documentation can reduce uncertainty, enhance accountability, and enable hitherto unattainable forms of contract automation. The suggested framework acknowledges the need for improved information standards and Oracle governance, demonstrating that integrating BIM and distributed technologies can significantly transform the digitalisation of the construction sector.
Purpose Cement manufacturing is a vital yet emission-intensive industry that faces challenges in certifying sustainable production practices, driven by the need for transparency, accountability and regulatory compliance. This paper provides a blockchain-based certification framework to enhance traceability and sustainability in cement production. Design/methodology/approach Leveraging Ethereum smart contracts (SCs) and blockchain technology, our solution ensures decentralized, immutable tracking of emissions data, production processes and compliance through secure interactions among regulators, manufacturers and auditors. The framework facilitates deployment, registration, reporting, auditing and certification. Detailed insights into system architecture, algorithms, SC implementation and validation are provided. Security analysis evaluates access controls, data privacy and vulnerability mitigation, while cost analysis highlights the framework's economic feasibility by examining gas costs for key functions. Findings The blockchain-based framework successfully produced a scalable solution with a modular design to allow for flexible deployment by different regulatory bodies. Transparency was achieved through blockchain events announcement, and accuracy was ensured through periodic auditing rounds. Security analysis results show no serious vulnerabilities. The developed framework proves a cost-effective solution for certifying sustainable production practices in the cement industry, with potential applications across other heavy manufacturing sectors. Research limitations/implications Cement manufacturing is a vital yet emission-intensive industry that faces significant challenges in certifying sustainable production practices, driven by the need for transparency, accountability and regulatory compliance. Practical implications We believe that this paper provides the following practical implications: Innovative Framework: A blockchain-based certification system promoting adherence to sustainable processes in cement manufacturing. SC Implementation: Detailed insights into the system architecture, implementation and validation of algorithms and SCs. Comprehensive Analysis: A thorough security analysis of SC coding and a cost analysis highlighting the economic feasibility of our proposed framework. Social implications The proposed methodology will help all stakeholder involved in the cement production and supply chain have a better understanding and a robust tool to observe and learn about operations, tasks and other activities made through sustainable cement production Originality/value The study contributes a novel blockchain-based method to certify sustainable production in energy-intensive industries, especially cement, offering a valuable tool that ensures transparency and immutability.
Ningshuang Zeng, Xuling Ye, Shiqi Chen, Yan Liu ¡ 5 authors
Although existing models and theories have explained systemic behaviors such as demand amplification and disruption propagation, practical challenges in Modular Construction Supply Chains (MCSC) remain unresolved due to production heterogeneity, geographic dispersion, and conflicting stakeholder interests. In addition, the lack of digital infrastructure and process-level data integration continues to hinder the development of automation and intelligent decision-making. To address these issues, this study develops an MCSC coordination system informed by industrial input. The system features a novel dual-engine architecture that integrates blockchain-enabled smart contracts and Robotic Process Automation (RPA). It also incorporates a practice-oriented approach to MCSC Supply Batch (MSB)-based management, using industrial insights to define the MSB as the fundamental coordination unit in process execution. The automatic triggering mechanism enabled by MSBs and dual-engine enables task-to-task transitions while maintaining traceability and operational clarity across supply chain nodes. A real-world case study validates the effectiveness of the proposed system in enhancing traceability, automation, and stakeholder collaboration within MCSC environments.
The digitalization of the architecture, engineering, and construction (AEC) industry has demonstrated the revolutionary potential of integrating blockchain technology with building information modelling (BIM). However, the selection of the most appropriate blockchain solution is a multiple-criteria decision-making (MCDM) problem, which is usually influenced by conflicting criteria and deep uncertainty. To overcome this, the present study proposes an extended Fermatean fuzzy weighted aggregated sum product assessment (Extended FF-WASPAS) model. Unlike existing Fermatean fuzzy WASPAS (FF-WASPAS) methods, which are based on a single expert and may be biased, the proposed model incorporates the evaluations of multiple decision makers (DMKs) through a consensus-driven mechanism to ensure unbiased and accurate results. A case study is conducted to evaluate five leading blockchain platforms, Hyperledger Fabric, Polkadot, Tezos, Ethereum, and Algorand, under eight BIM-related criteria. The result indicates that Ethereum is the best blockchain platform to digitalize BIM compared to the other platforms because it is scalable, interoperable, secure, and has a wide range of applications in the real world. Sensitivity analysis over a wide range of parameter values, as well as DMKs assigned with different weight sets, confirmed the stability of the ranking. Furthermore, a quantitative comparative analysis with FF multiple criteria group decision-making (FF-MCGDM) and FF-WASPAS approaches, as well as a qualitative analysis with existing models in various fuzzy environments, confirms the robustness and reliability. Overall, the study provides a strong, interpretable, and consensus-based decision-support framework with high practical value for AEC stakeholders who wish to deploy secure, transparent, and efficient blockchain-enabled BIM solutions.
Slow and disputed progress payments undermine contractor liquidity and project schedules due to manual verification, fragmented data, and limited transparency. This paper presents a prototype system that incrementally integrates digital twin (DT), building information modeling (BIM), and blockchain to automate milestone-based payments. The continuously updated DT is conceptualized as a dynamic oracle, capturing real-time site conditions and comparing them with structured BIM milestones. Verified achievements trigger Ethereum smart contracts referencing Merkle-proofed evidence stored off-chain in InterPlanetary File System (IPFS), with disbursements authorized via Gnosis Safe multi-signature wallets. A prototype on a police station project shortened verification to payment from several days to minutes and eliminated disputes across all milestones. A survey of industry professionals confirmed gains in efficiency, transparency, and trust. The proposed system provides a practical foundation for transparent, automated payments and offers pathways for future adoption such as stablecoin settlement and public sector integration. ⢠Digital twins resolve blockchain oracle challenges in construction payments. ⢠BIM-blockchain integration reduces payment verification from days to minutes. ⢠Smart contracts with multi-signature governance secure transaction integrity. ⢠Stakeholders confirm enhanced payment speed, transparency, and trust.
Giovanni De Gasperis, Sante Dino Facchini, Asif Saeed
In recent years, numerous regions worldwide have experienced devastating natural disasters, leading to significant structural damage to buildings and loss of human lives. The reconstruction process highlights the need for a reliable method to document and track the maintenance history of buildings. This paper introduces a novel approach for managing and monitoring restoring interventions using a secure and transparent digital framework. We will also present an application aimed at improving building structures with respect to earthquake resistance. The proposed system, referred as the âBuilding Ledger Dossierâ, leverages a Digital Twin approach applied to blockchain to establish an immutable record of all structural interventions. The framework models buildings using OpenSees, while all maintenance, repair activities, and documents are registered as Non-Fungible Tokens on a blockchain network, ensuring timestamping, transparency, and accountability. A Decentralized Autonomous Organization oversees identity management and work validation, enhancing security and efficiency in building restoration efforts. This approach provides a scalable and globally applicable solution for improving both ante-disaster monitoring and post-disaster reconstruction, ensuring a comprehensive, verifiable history of structural interventions and fostering trust among stakeholders. The proposed method is also applicable to other types of processes that require the aforementioned properties for document monitoring, such as the life-cycle management of tax credits and operations in the financial or banking sectors.
The Engineering, Procurement, and Construction (EPC) industry faces significant financial management challenges due to the complexity of project financing, milestone-based payments, and multi-stakeholder collaboration. Traditional on-premise ERP financial systems are often inefficient, leading to delays in financial reporting, security vulnerabilities, and regulatory compliance difficulties. This study explores the development of cloud-based financial solutions tailored to the EPC industry, examining the benefits, challenges, and applicability of existing models such as Software as a Service (SaaS), Platform as a Service (PaaS), and Blockchain-based decentralized finance (DeFi). A Hybrid Cloud-Based Financial Framework is proposed, integrating SaaS for accounting, PaaS for customization, and Blockchain for secure transactions. Experimental validation demonstrates that cloud adoption reduces financial processing time by 87.5%, enhances cash flow visibility, improves security, and increases regulatory compliance efficiency by 40%. This paper highlights the importance of AI-driven predictive analytics, automated compliance, and hybrid cloud models in modern EPC finance and proposes strategies for overcoming integration challenges, cybersecurity risks, and workforce adoption barriers. Future research should focus on scaling hybrid cloud solutions globally and integrating AI-powered risk assessment tools.
Abstract Blockchain technology is a digital decentralized data ledger recording transactions in an encrypted format. Its implementation can potentially hold significant advantages for the built environment, particularly in manufacturing and building product usage aligned with Building Information Modeling (BIM). This paradigm shift toward decentralized transactions can foster security, reliability, and accountability. Hyperledger Fabric (HLF), an enterpriseâgrade distributed ledger, offers a modular, scalable, and confidential digital framework. This article introduces HLFâbased workflows to address inefficiencies in BIM and fastener product lifecycle management, such as fragmented data handling and limited process automation. Leveraging chaincodes linked to BIM models, HLF simplifies, enhances transparency, and automates construction product lifecycle processes. Contract data and execution details are managed through a blockchain stored in a common data environment (CDE) and linked to chaincodes. The article presents the conceptualization and implementation of automated workflows, emphasizing efficiency and transparency. While showcasing successful deployments, it also highlights areas for future improvement and development. The proposed framework represents a pioneering step toward a decentralized cooperative environment in the construction industry, aligning with the transformative potential of blockchain technology.
Open access
BIM and Construction Integration
Innovations in Concrete and Construction Materials
Timely approvals and payments to the project participants are crucial for successful completion of construction projects. However, the construction industry faces persistent delays and non-payments to contractors. Despite the desirable benefits of automated payments and enhanced access to digitized data progress, most payment applications rely on centralized control mechanisms; inefficient procedures; and documentation that takes time to prepare, review, and approve. As such, there is a need for a reliable payment automation system that guarantees timely execution of payments upon the detection of completed works. Therefore, this study used a cutting-edge approach to automate construction payments by integrating blockchain-enabled smart contracts and scan-to-Building Information Modeling (BIM). In this approach, scan-to-BIM provides accurate, real-time building progress data, which serve as the source of verifiable off-chain data. A chain-link is then used to securely relay these data to the blockchain system. Blockchain-enabled smart contracts automate the execution of payments upon meeting contract conditions. The proposed approach was implemented on a real case study project. The actual site scan was captured using a photogrammetry 360° camera, which uses a combination of structured light and infrared depth sensing technology to capture 3D data and create detailed 3D models of spaces. This study leveraged accurate, real-time building progress data to automate payments using blockchain-enabled smart contracts upon work completion, thus reducing payment disputes by tying payments to verifiable construction progress, leading to faster release of payments. The findings show that this approach provides a transparent basis for payment, enhancing trust and allowing precise project progress tracking.
In the context of digital construction, responsibility management in smart city building information modeling (BIM) projects spans the entire building lifecycle. The involvement of numerous BIM designers in project management and frequent data exchanges pose significant challenges for the traceability, immutability, and responsibility attribution of BIM models. To address these issues, this study proposes a blockchain-based responsibility management and collaboration framework for BIM projects using non-fungible tokens (NFTs), aiming to enhance the management of responsibilities and accountability in BIM projects. This research adopts a design science methodology, strictly adhering to scientific research procedures to ensure rigor. First, NFTs based on blockchain technology were developed to generate corresponding digital signatures for BIM model files. This approach ensures that each BIM model file has a unique digital identity, enhancing transparency and traceability in responsibility management. Next, the interplanetary file system (IPFS) was used to generate digital fingerprints, with the content identifier generated by IPFS uploaded to the blockchain to ensure the immutability of BIM model files. This method guarantees the integrity and security of BIM model files throughout their lifecycle. Finally, the proposed methods were validated through a blockchain network. The experimental results indicate that the proposed framework is theoretically highly feasible and demonstrates good applicability and efficiency in practical production. The constructed blockchain network meets the actual needs of responsibility management in smart city BIM projects, enhancing the transparency and reliability of project management.
Current autonomous building research primarily focuses on energy efficiency and automation. While traditional artificial intelligence has advanced autonomous building research, it often relies on predefined rules and struggles to adapt to complex, evolving building operations. Moreover, the centralized organizational structures of facilities management hinder transparency in decision-making, limiting true building autonomy. Research on decentralized governance and adaptive building infrastructure, which could overcome these challenges, remains relatively unexplored. This paper addresses these limitations by introducing a novel Decentralized Autonomous Building Cyber-Physical System framework that integrates Decentralized Autonomous Organizations, Large Language Models, and digital twins to create a smart, self-managed, operational, and financially autonomous building infrastructure. This study develops a full-stack decentralized application to facilitate decentralized governance of building infrastructure. An LLM-based artificial intelligence assistant is developed to provide intuitive human-building interaction for blockchain and building operation management-related tasks and enable autonomous building operation. Six real-world scenarios were tested to evaluate the autonomous building system's workability, including building revenue and expense management, AI-assisted facility control, and autonomous adjustment of building systems. Results indicate that the prototype successfully executes these operations, confirming the framework's suitability for developing building infrastructure with decentralized governance and autonomous operation.