空间智能的起点
The Genesis of
Spatial Intelligence
使命
Mission
我们正在打破纸面数据与现实逻辑的断层，通过解码人类文明最复杂的空间说明书——工程图纸，我们让AI像人类专家一样理解空间的物理联系，开启工程自动化的新纪元。
We are bridging the gap between paper-based data and physical logic. By decoding engineering blueprints, the most complex spatial manuals of human civilization, we enable AI to understand spatial physical connections like human experts, ushering in a new era of engineering automation.
愿景
Vision
成为工程世界的视觉与空间智能引擎。通过AI连接图纸、现场与决策，让智能体不仅能“看到”数据，更能真正“理解”空间。
To be the vision and spatial intelligence engine for the engineering world. By connecting blueprints, field operations, and decision-making through AI, we empower agents to not just "see" data, but truly "understand" space.
不是识图工具，
而是AI时代理解物理世界的基础设施。
is not a drawing
recognition tool, but a cognitive
infrastructure for understanding the
physical world in the AI era.
智能感知解码
Intelligent Perception & Decoding
多源自动化接入： 支持DWG、DXF、高精度PDF及各类工程图像的秒级自动化解析。
Multi-source Automated Integration: Supports second-level automated parsing of DWG, DXF, high-precision PDFs, and various engineering images.
语义级还原： 超越像素匹配，精准捕捉图纸内每一个物理实体的工程属性与空间定义，将线条转化为有生命的逻辑对象。
Semantic-level Restoration： Moving beyond pixel matching, we precisely capture the engineering attributes and spatial definitions of every physical entity within a drawing, transforming lines into living logical objects.
空间逻辑重构
Spatial Logical Reconstruction
因果关系建模： 构建专有的“图元语义图谱”，让AI理解设备间的物理连接、逻辑约束与因果链条。
Causal Relationship Modeling: Building a proprietary "Primitive Semantic Graph" that enables AI to understand the physical connections, logical constraints, and causal chains between devices.
全链自动化生成： 实现从“原始图纸”到“智慧模型 (BIM)”，再到“投资造价与运维决策”的端到端进化。
Full-chain Automated Generation: Enabling an end-to-end evolution from "raw blueprints" to "Smart Models (BIM)," and further to "investment costing and O&M decision-making.”
我们构建了独特的空间理解范式，
使AI能够穿透平面数据映射，
洞察物理世界的多维本色。
We have built a unique spatial
understanding paradigm that enables
AI to penetrate planar data mapping
and perceive the multi-dimensional
essence of the physical world.
双路并行神经网络架构
Dual-Path Parallel Neural Network Architecture
CAD语言分支： 支持DWG、DXF、高精度PDF及各类工程图像的秒级自动化解析。
CAD Language Branch： Supports second-level automated parsing of DWG, DXF, high-precision PDFs, and various engineering images.
几何空间分支： 肉眼一样感知物理实体的形体特征与空间排布。
Geometric Space Branch： Perceives the morphological features and spatial arrangements of physical entities like the human eye.
跨模态融合： 采用Cross-Attention技术，实现语言逻辑与几何形状的深度统一。
Cross-modal Fusion：
Utilizes Cross-Attention technology to achieve a deep unification of linguistic logic and geometric form.
行业智慧库
Industry Intelligence Bank
因果图谱引擎： 内置深厚的工程规则，赋予AI专家级的常识与合规性判断力。
Causal Graph Engine： Embedded with profound industry engineering rules, empowering AI with expert-level common sense and compliance judgment.
空间语义知识库： 基于海量行业图纸沉淀，构建出高壁垒的物理空间认知底座。
Spatial Semantic Knowledge Base： Built upon massive accumulations of industry blueprints, constructing a high-barrier cognitive foundation for physical space.
电力工程：
高可靠性基建支撑
Power Engineering:
High-Reliability Infrastructure Support
在特高压工程、川藏并网等极端复杂场景中，实现图纸自动结构化，确保电力设施的安全校验与精准运维。
In extremely complex scenarios such as UHV projects and Sichuan-Tibet grid interconnection, we achieve automated blueprint structuring to ensure safety verification and precise O&M of power facilities.
市政与工业：
点亮城市地下脉络
Municipal &
Industrial:
Lighting Up the
Urban Underground Veins
系统梳理错综复杂的市政管网与设施，让不可见的地下空间变得透明、可感且可预测。
Systematically organizing intricate municipal pipe networks and facilities, making invisible underground spaces transparent, perceptible, and predictable.
具身智能的未来：
认知的数字入口
The Future of Embodied AI:
The Digital Gateway
to Cognition
将现场图像与空间逻辑深度融合，为未来的机器人提供在多维物理世界中交互所需的“空间大脑”。
Deeply integrating field images with spatial logic to provide the "spatial brain" required for future robots to interact within a multi-dimensional physical world.
科研基因
Scientific Research DNA
依托杭州全息智能技术研究院，在空间智能前沿方向与浙江大学 CAD & CG 全国重点实验室紧密协同。
Relying on the Hangzhou Research Institute of AI and Holographic Technology, we closely collaborate with the State Key Laboratory of CAD & CG at Zhejiang University in the frontier of spatial intelligence.
精英团队
Elite Team
核心领军成员来自浙江大学，师从吴朝晖院士；汇聚了前阿里巴巴、国家电网及北美藤校的顶尖跨界专家。
Our core leadership comes from Zhejiang University, having studied under Academician Wu Zhaohui; we bring together top cross-domain experts from former Alibaba, State Grid, and North American Ivy League universities.
荣誉与验证
Honors & Verification
项目已获得工程类专业资本关注，并在全国性客户及造价机构中形成了深度的协同应用。
The project has garnered attention from professional engineering capital and has established deep collaborative applications among national clients and costing institutions.
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