Blockchain Technology
Overview
Industrial data is increasingly as a strategic asset, yet it is often scattered across OEMs, operators, utilities, and public agencies. “Trusted data spaces” address this address this by enabling controlled sharing and auditable use of data across organizations, using permissioned ledgers, digital identity, and privacy-preserving technologies.
Sunway works with China-based industrial blockchain providers whose solutions have been shaped through domestic pilots and standardization work, translating data-space concepts into clear, procurement-ready baselines that can be evaluated, governed, and operated under local rules.
Data collaboration differs across sectors, thus solutions are typically organized based on practical scenarios such as smart transportation, energy systems, or city-level operations.
Our partners provide core infrastructure and implementation experience, while local operators and ecosystem stakeholders manage day-to-day operations and supervisory interfaces.
Industry Resources / Partners
Industrial blockchain and data-space infrastructure
Permissioned platforms with smart-contract capabilities and robust ledger management.
Privacy-preserving computation and digital identity
MPC, federated learning, TEE toolkits, and identity systems enabling analytics without exposing raw data.
Scenario-oriented data infrastructure packages
Frameworks for smart transportation (, energy systems, city data spaces, and digital agriculture or fisheries .
Data assetization and financing tools
Mechanisms enabling industrial data streams such as battery lifecycle, charging data, energy usage, logistics into auditable assets for financing and performance-linked projects.
Standards and reference frameworks
Experience in data infrastructure and privacy-computing standards to align projects with emerging expectations.
Local infrastructure operators and ecosystem stakeholders
Utilities, city data operators, platform operators, and financial institutions able to run operations and support sustainable commercial models.
Case Study
In a fast-growing cities, public agencies often invest in electric buses, taxis, and light mobility, alongside distributed renewables and smarter grids. However, operational data is typically split across vehicle OEMs, charging operators, utilities, and multiple government departments, making coordinated oversight and resource planning difficult.
A trusted data space can be structured to define participation rules, data categories, and usage controls before technical rollout. Permissioned infrastructure and identity layers enable verifiable access, while privacy-preserving computation supports cross-party analytics for fleet safety, charging efficiency, and grid flexibility without exposing raw data .
Local operators manage day-to-day operations and supervisory interfaces, while technology partners provide the core infrastructure and scenario specific modules. With clearly governance, the system evolves from fragmented reporting to coordinated, continuous collaboration across mobility and energy stakeholders.