Patents & Research
Patents & Research
EtherCoreTech 以 DCSE（Digital Consciousness Science & Economics）为理论框架， 围绕可信计算、分形激励与治理、抗量子密码、无人系统与数字文明基础设施，规划至 2030 年 构建 3000 项发明专利集群。
Guided by DCSE (Digital Consciousness Science & Economics), EtherCoreTech is building patent clusters around trusted computing, fractal incentives & governance, PQC, unmanned systems and digital-civilization infrastructure, targeting 3,000 invention patents by 2030.
EtherCoreTech 是 EverLove Avatar 社交生态中“可信计算与底层基础设施”方向的重要技术伙伴之一， 共同推进从协议、芯片、执行环境到治理架构的全栈专利布局。
As a core infrastructure partner in the EverLove Avatar Social ecosystem, EtherCoreTech co-develops full-stack patent layouts from protocols, chips and execution environments to governance architectures.
当前已规划 / 在研的核心技术专利簇，覆盖可信计算、分形激励、无人系统与 DCSE 等方向。
Core technical patent clusters under planning and development cover trusted computing, fractal incentives, unmanned systems and DCSE.
• RISC-V 可信执行虚拟机（Execution VM）架构与调度算法；
• 面向多租户的确定性执行与可验证日志；
• 抗电子战场景下的端–芯–链–云–算一体化安全计算方法；
• 基于 PUF 与零信任架构的设备准入与链上信任锚定。
• RISC-V Trusted Execution VM architecture and scheduling algorithms;
• Deterministic multi-tenant execution with verifiable logs;
• Integrated secure computing for device–chip–chain–cloud–compute under EW conditions;
• PUF-based zero-trust device admission and on-chain trust anchoring.
• 分形凹函数多层激励方法及系统；
• 分形治理架构与参数缩放方法；
• 竞猜与预测市场中贡献度与风险度的分形计量模型；
• 适用于多链 / 多域场景的分形治理–激励一体化协议。
• Fractal concave multi-layer incentive mechanisms and systems;
• Fractal governance architectures and parameter scaling methods;
• Fractal contribution/risk metering models for prediction & betting markets;
• Integrated governance–incentive protocols for multi-chain / multi-domain environments.
• 基于秘密共享 MPC 与联邦梯度聚合的指标计算与审计方法；
• 联邦学习场景下的裁剪–聚类过滤–截尾均值鲁棒聚合；
• 训练过程的异常冻结、最小披露复核与裁决执行框架；
• 指标最小披露审计包格式、生成与跨系统验证方法。
• Secret-sharing-based MPC for metric computation and auditing in federated settings;
• Robust aggregation via clipping, cluster filtering and trimmed mean in FL;
• Anomaly freezing, minimal-disclosure review and adjudication frameworks;
• Minimal-disclosure metric-audit packages and cross-system verification.
EtherCoreTech 与 EverLove Avatar 社交 生态在 DCSE（数字意识科学与经济学）框架下协同布局， 重点探索“意识、激励、治理”与“可信计算、链上执行”的接口。
EtherCoreTech collaborates within the EverLove Avatar Social ecosystem under the DCSE framework, focusing on interfaces between consciousness, incentives, governance and trusted/on-chain computation.
• DQS 指标体系与可信计算平台的映射关系；
• CDU 数据单元在链上与链下混合存储体系中的实现；
• Quantum Trust Loop 在硬件信任根与区块链执行层的具体落地路径。
• Mapping DQS indicator systems onto trusted-computing platforms;
• Implementing CDU data units across hybrid on/off-chain storage systems;
• Concretizing Quantum Trust Loops via hardware roots of trust and blockchain execution layers.
下图概念性展示了 EverLove Avatar 社交 × EtherCoreTech 2030 年 3000 项发明专利的分层结构： 基础设施层、协议与算法层、应用与场景层、治理与标准层。
Conceptually, the 2030 roadmap for 3,000 patents spans four layers: infrastructure, protocols & algorithms, applications & use cases, and governance & standards.
• L1 基础设施层：可信芯片、RISC-V Execution VM、区块链核心引擎、PQC 与隐私计算；
• L2 协议与算法层：分形激励函数、分形治理架构、指标审计与联邦学习安全协议；
• L3 应用与场景层：可信无人机网络、金融与工业基础设施、智能城市与数字生命应用；
• L4 治理与标准层：DCSE 指标体系、意识经济模型、合规模块与技术标准。
• L1 Infrastructure: RoT chips, RISC-V Execution VM, blockchain cores, PQC & privacy stack;
• L2 Protocols & Algorithms: fractal incentive functions, governance architectures, metric auditing and
secure federated learning protocols;
• L3 Applications & Scenarios: trusted UAS networks, financial/industrial infrastructures, smart cities
and
digital-life applications;
• L4 Governance & Standards: DCSE indicators, consciousness-economy models, compliance modules and
technical standards.
