Domain-specific agents emerge from the deep integration of large language models (LLMs) with domain knowledge, data systems, and business tools. They are evolving from auxiliary applications for knowledge question answering into execution systems for complex tasks. As sources of domain data diversify, business rules grow more complex, and external tools proliferate, LLMs alone struggle to maintain semantic consistency across task understanding, resource invocation, and result assessment. Ontology enhancement formally represents domain objects and their relations and incorporates business conditions, operational capabilities, and runtime states into a unified semantic framework. It thus provides domain-specific agents with a stable knowledge foundation and a verifiable basis for task execution. This study first defines the concept and scope of ontology-enhanced domain-specific agents, develops an ontology semantic model and a layered technical framework, and reviews key technologies for ontology construction, knowledge acquisition, tool invocation, task planning, and result verification. It then conducts an application validation from a large manufacturing enterprise. The findings indicate that ontology enhancement can reduce semantic deviations in multi-constraint queries by explicitly representing business objects, relation paths, metric definitions, temporal conditions, and state rules, thereby providing verifiable semantic support for domain-specific agents accessing heterogeneous business data.
In the context of advancing urban resilience and modernizing the national governance system, dual-use public infrastructure has emerged as a pivotal spatial carrier for coordinating urban development and security. However, the implementation of the dual-use concept at the planning level faces systemic challenges, including the lack of top-level design, disconnections in transmission mechanisms, and barriers to cross-departmental coordination. This study reviews the conceptual evolution and policy trajectory of dual-use public infrastructure, and explores the jurisprudential logic and integration challenges concerning its alignment with the five-level, three-category territorial space planning system. The study reveals that the development of dual-use infrastructure is by no means a mere stacking of individual projects; rather, it represents a profound transformation of the logic underpinning territorial space governance. Through a comparative case study of three typical cities (i.e., Beijing, Chengdu, and Xi'an), the study identifies four core bottlenecks: jurisprudential conflicts in planning, ineffective indicator transmission, spatial misallocation, and incomplete standards and specifications. Drawing upon the system theory, planning integration theory, collaborative governance theory, and whole-life cycle management theory, this study constructs a closed-loop embedding framework consisting of strategic leadership, spatial constraints, facility coordination, and practical implementation. Accordingly, a systematic embedding pathway is proposed, encompassing four dimensions: strengthening top-level design guidance, optimizing the planning compilation system, reconstructing a collaborative governance framework, and refining laws and standards. This research aims to translate dual-use requirements from policy discourse into statutory planning control requirements, providing theoretical support and strategic references for achieving dual-use coordination and enhancing urban resilience.
Fostering an open, shared, and secure unified data market is a pivotal task for advancing the construction of Digital China and for serving the new forms of the smart economy. The new data infrastructure serves as the core carrier for supporting data element circulation and directly determines the effectiveness of data value release. Currently, the development of China's data infrastructure still faces deep-seated challenges. The root cause lies in the longstanding constraints of the "impossible trinity" of security, cost-effectiveness, and compatibility, alongside difficulties in synergizing existing resources with new development. This study summarizes the fundamental engineering challenges in constructing new data infrastructure, and elaborates on the vision, basic principles, and theoretical support elements for its development. Moreover, it innovatively proposes a "cloud‒network integrated hyper-convergence" architecture for data infrastructure, based on the theory of polymorphic intelligent network environment. Additionally, it employs a technical logic of "elementalizing network resources" and "dynamic resource aggregation," empowered by AI-enabled generative networks, to generate dedicated, scenario-adaptive network modalities on demand. Drawing on live network demonstrations, this study elaborates on the design philosophy and key technologies of the new data infrastructure architecture, and summarizes a synergistic construction model of "stock efficiency + incremental optimization." Practice shows that this architecture can provide an engineering solution to the "impossible trinity" and the stock‒increment synergy dilemma. Finally, the study proposes recommendations covering engineering advancement, technological innovation, platform support, disciplinary development, and institutional safeguards, aiming to provide theoretical and practical insights for building a nationally unified data market.
New-type electrochemical energy storage are key enabling technologies for building a new power system and achieving the carbon peaking and carbon neutralization goals. The performance of key materials directly determines the energy density, safety, lifespan, and cost-effectiveness of energy storage devices, and they hold irreplaceable strategic values for ensuring national energy security. This study focuses on three major new-type electrochemical energy storage systems (i.e., lithium-ion batteries, sodium-ion batteries, and flow batteries), and reviews the research progress on electrode, electrolyte, and separator materials, while proposing phased optimization roadmaps for the development of these different materials. Meanwhile, the study further focuses on common key issues in the field of material research and development (R&D). Given the complex and diverse nature of energy storage material systems, it analyzes bottlenecks in research framework planning, resource and environmental constraints, R&D models, and infrastructure platforms for the commercialization of research outcomes. The study proposes shifting from a decentralized approach to a systematic one by strengthening cross-system fundamental research and collaboration across the entire value chain; shifting from a performance-oriented approach to a full-lifecycle, green, and sustainable approach, incorporating resource availability, supply chain security, and environmental impact as core evaluation dimensions in the early stages of material R&D; transitioning from trial-and-error to data- and intelligence-driven approaches to build an independent "artificial intelligence + energy storage materials" R&D model; and moving from isolated laboratory innovation to end-to-end integration by establishing a technology commercialization mechanism that synergistically advances pilot-scale validation and standards testing, thereby promoting the high-quality development of key energy storage materials.
Advanced ceramic materials are the foundation for the safe operation of hot-end components and dynamic energy impact protection components of rotorcraft, as well as an important material basis for the electrification and intelligent development of rotorcraft. Grasping the technical direction of advanced ceramic materials oriented to rotorcraft applications and envisioning future development will provide key support for the development of China's advanced ceramic material industry and the improvement in its rotorcraft equipment capacity. The study explores the application of advanced materials driven by the demand of rotorcraft for high survivability, lightweight structures, all-domain/all-weather service, and intelligence, expounds on the technical characteristics of advanced ceramic materials and the adaptability of these materials for rotorcraft, and reviews the research progress of advanced ceramic materials for rotorcraft in China. Moreover, it summarizes the development trends in this field. Specifically, lightweight yet high-performance structural ceramic materials underpin the safe operation of specific structural parts; the composite toughening of advanced ceramic materials has become the key support for reliability improvement; multifunctional piezoelectric ceramics are the material basis for intelligent development; and the flexibility of information functional ceramics and its fusion with artificial intelligence are important driving forces for digital transformation of physical systems. The study proposes that future research and application of advanced ceramic materials for rotorcraft should prioritize bulletproof ceramic materials for high survivability, ceramic composite coatings for all-domain service, piezoelectric ceramic materials for all-weather service, flexible piezoelectric devices for intelligent integration, and advanced ceramic digital qualification technology for rapid research and development. These efforts aim to accelerate the technological progress of advanced ceramic materials and improve the comprehensive application efficiency of rotorcraft.
