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2025年8月30日周六
2025年8月29日周五
2025年8月28日周四
2025年8月27日周三
2025年8月26日周二
  1. 沃兰特航空新闻历史资料

    农银金租与沃兰特签署 10 架确定、110 架意向订单

    沃兰特公告把 120 架总量拆分为 10 架确认订单和 110 架意向订单，交付以型号取证为前提。（披露日：2025-08-26）

    推荐理由：120架中仅10架为确定订单、110架为意向订单，评估 VE25 需求与交付预期时需按订单性质拆分，并核对取证前提。

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2025年8月25日周一
  1. arXiv eVTOL预印本历史资料

    Real World Assets on-Chain Assistance Low-Altitude Computility Networks: Architecture, Methodology, and Challenges

    Low-altitude airspace is becoming a new frontier for smart city services and commerce. Networks of drones, electric Vertical Takeoff and Landing (eVTOL) vehicles, and other aircraft, termed Low-Altitude Economic Networks (LAENets), promise to transform urban logistics, aerial sensing, and communication. A key challenge is how to efficiently share and trust the computing utility, termed computility, of these aerial devices. We propose treating the computing power on aircraft as tokenized Real-World Assets (RWAs) that can be traded and orchestrated via blockchain. By representing distributed edge computing resources as blockchain tokens, disparate devices can form Low-Altitude Computility Networks (LACNets), collaborative computing clusters in the sky. We first compare blockchain technologies, non-fungible tokens (NFTs), and RWA frameworks to clarify how physical hardware and its computational output can be tokenized as assets. Then, we present an architecture using blockchain to integrate aircraft fleets into a secure, interoperable computing network. Furthermore, a case study models an urban logistics LACNet of delivery drones and air-taxis. Simulation results indicate improvements in task latency, trust assurance, and resource efficiency when leveraging RWA-based coordination. Finally, we discuss future research directions, including AI-driven orchestration, edge AI offloading and collaborative computing, and cross-jurisdictional policy for tokenized assets.（预印本；同行评审状态请核对原文。）

2025年8月22日周五
  1. arXiv eVTOL预印本历史资料

    A Scalable Framework for the Management of STPA Requirements: a Case Study on eVTOL Operations

    System-Theoretic Process Analysis (STPA) is a recommended method for analysing complex systems, capable of identifying thousands of safety requirements often missed by traditional techniques such as Failure Mode and Effects Analysis (FMEA) and Fault Tree Analysis (FTA). However, the absence of a structured framework for managing and prioritising these requirements presents challenges, particularly in fast-paced development environments. This paper introduces a scalable framework for prioritising STPA-derived requirements. The framework integrates outputs from each STPA step and incorporates expert evaluations based on four key factors: implementation time, cost, requirement type, and regulatory coverage. To reduce subjectivity, Monte-Carlo Simulation (MCS) is employed to calculate and stabilise requirement rankings. An automation toolchain supports the framework, enabling dynamic mapping of prioritised requirements in a scaling matrix. This visualisation aids decision-making and ensures traceability across development phases. The framework is applicable from early conceptualisation to more advanced stages, enhancing its utility in iterative system development. The framework was validated through a real-world case study focused on Electric Vertical Take-off and Landing (eVTOL) operations, conducted in collaboration with the UK Civil Aviation Authority. The findings contributed directly to CAP3141, a Civil Aviation Publication that identifies systemic operational risks and safety mitigations for regulators, operators, and vertiports. The prioritisation process supported decis（预印本；同行评审状态请核对原文。）

2025年8月21日周四
2025年8月20日周三
2025年8月19日周二