北京右文科技有限公司
Beijing Youwen Technology Co., Ltd.
Beijing Youwen Technology Co., Ltd.
Youwen Technology
PARS | Paper Artifact Restoration & Cutting System。
PARS | Paper Artifact Restoration & Cutting System.
PARS AI Agent智能体 × 多光谱多模态机器视觉 × 工业机器人 × 柔性力控裁切 × 离线编辑。
PARS AI Agent × Multi‑spectral Machine Vision × Industrial Robot × Flexible Force‑controlled Cutting × Offline Editing.
以科技之力，赓续纸上文脉。
Carry forward paper‑based cultural heritage with technology.
了解PARS产品 Learn About PARS产学研用一体化，以科技创新赋能纸质文物保护行业
Integrated industry‑university‑research application, empowering paper cultural relic protection with tech innovation
北京右文科技有限公司，专注为全国各级博物馆、图书馆、档案馆、文保科研机构、高等院校文博专业及文化创意机构等，提供文物保护、修复全系列产品、整体解决方案与配套技术服务的专业化企业。
Beijing Youwen Technology Co., Ltd. provides full‑range products, integrated solutions and technical services for museums, libraries, archives, cultural heritage institutes and universities nationwide.
公司深度携手国家图书馆及相关科研院所，搭建联合技术研发体系，汇聚资深文物修复师、行业权威专家、技术领军人才等高素质专业团队。同时，依托人工智能、机器视觉、精密制造等领域的优质上下游产业链资源，形成产、学、研、用一体化的综合竞争优势。
We cooperate with National Library of China and research institutes, gathering senior restorers and experts, forming integrated advantages across research, manufacturing and practical application.
自主研发的纸质古籍智能修复机器人系统 PARS，率先实现机器人与人工智能技术在破损纸质文物修复领域的创新应用，填补国内外相关技术空白，形成新质生产力，目前已斩获十余项国家发明专利。
Our self‑developed PARS robot system innovatively applies AI & robotics to ancient book restoration, filling technical gaps with dozens of national invention patents.
▪ 文物修复保护设备及智能系统
▪ Cultural relic restoration equipment & intelligent systems
▪ 文物修复专业培训
▪ Professional restoration training
▪ 文物修复材料、文物防护包装产品
▪ Restoration materials & protective packaging
▪ 行业相关技术研发、市场推广、产品销售与技术服务
▪ R&D, marketing, sales and technical services for heritage protection
人机协同，重构古籍补纸修复工序
Human‑machine collaboration reshapes paper‑mending restoration workflow
补纸修补是古籍修复的核心基础工序，亦是传统修复流程中耗时久、强度高、一致性难保障的关键环节。传统模式完全依赖修复师手工撕制补片，效率低下、劳动强度大，人工误差难以规避。
Paper mending is core but labor‑intensive in ancient book restoration. Traditional manual tearing is low‑efficiency with unavoidable human errors.
PARS 古籍修复裁切机器人专为古籍修复全流程量身打造，集成 AI 智能调度、多模态机器视觉、六轴工业机械臂、柔性力控裁切、移动端离线编辑全链路能力，一站式完成图像无损采集、缺损智能解析、补片数字化排版、高精度柔性裁切、破损与补片双向溯源一体化作业，推动补纸裁切从纯手工操作迈向AI人机协同数智化时代。
Custom‑built for ancient book restoration, PARS integrates AI scheduling, multi‑modal vision, 6‑axis robot, flexible force‑cutting and offline mobile editing, completing lossless scanning, defect analysis, patch layout, high‑precision cutting and bidirectional tracing, shifting manual work to AI‑human collaborative digital workflow.
产品型号：Ultra / ProMax / Pro / Std / Base / Lite
核心定位：面向古籍修复补纸裁切场景，集视觉识别、数字化编辑、智能嵌套排版、柔性仿生裁切、跨书叶溯源检索、离线脱机作业于一体的文保专用一体化作业平台。
Models: Ultra / ProMax / Pro / Std / Base / Lite
Target scenario: all‑in‑one heritage‑dedicated platform for patch cutting, vision recognition, digital editing, nesting layout, bionic cutting, cross‑leaf tracing and offline operation.
设备以人机协同为设计边界：系统提供识别、编辑、定位和裁切支撑，具体修复判断与工艺确认由专业人员完成。
Designed for human‑machine collaboration: system provides vision, editing, positioning & cutting support; professional restorers make final restoration decisions.
同轴共焦单目RGB可见光+IR红外双光谱融合成像、3D 结构光三维检测，微米级提取古籍破损轮廓、病害肌理、纸张曲面特征，为高精度仿生裁切提供完整视觉底层数据。
Coaxial RGB‑IR dual‑spectral imaging plus 3D structured‑light detection extracts ancient book defect contours and texture at micron‑level, supplying complete visual data for high‑precision bionic cutting.
自适应柔性力控裁切模组，集成微米级高度感知、实时压力伺服传感、柔性缓冲弹簧，搭配自研波浪裁切算法，可适配各类古籍修复用纸力学特性，自适应调节研磨力度，复刻手工修复自然毛边工艺效果。
Adaptive force‑controlled cutting module with micron height sensing, real‑time pressure servo and self‑developed wavy‑cut algorithm, reproducing natural torn‑edge hand‑restoration effect for diverse restoration papers.
工控上位机、移动端平板、实体按键、全域急停开关构成多层操作界面，实时监控设备和任务状态、编辑修复方案、一键应急停机，兼顾桌面精细化操作与远程离线作业。
Multi‑layer interfaces including industrial PC, tablet, physical buttons and full‑range emergency stop. Monitor status, edit restoration plans, trigger emergency stop, supporting desktop fine operation and remote offline work.
本地全域闭环调度大脑，私有化部署，无需云端联网，文物数据安全不外流。
Local closed‑loop scheduling brain, private on‑premise deployment, no cloud connection needed, keep cultural relic data safe on‑site.
依托本地算力底座统筹全流程作业链路：古籍原件多光谱感知、破损病害智能识别、纸张材质与裁切工艺参数自适应匹配、批量排版路径优化，实现全工序智能协同调度。
Leveraging the local computing‑power base to orchestrate end‑to‑end workflow: multi‑spectral perception of ancient book originals, intelligent identification of damages and defects, automatic matching of paper materials, adaptive matching of cutting‑process parameters, and optimization of batch‑nesting paths to realize intelligent collaborative scheduling across all working procedures.
可旋转多光谱复合识别+全域监控视觉，双模组协同完成A3幅面古籍无损图像采集、病害纹理捕捉，补光灯视角自由调节，适配原件区、裁切区双工位作业。
Rotatable multi‑spectral recognition plus full‑range camera, complete lossless A3‑size scanning & disease texture capture, adjustable fill‑light for original‑paper station & cutting station dual‑workflow.
AI 自动识别缺损轮廓后，预留完整人工调整空间，修复师可手绘、擦除、分段修正边界，贴合传统修复工艺标准。
After AI auto‑detects defect contours, restorers can draw, erase and adjust boundaries manually, complying with traditional restoration standards.
多页破损轮廓批量导入，算法自动最优排布补片，最大化节约珍贵修复用纸，裁切路径同步预览，人工可自定义调整排版方案。
Batch import multi‑page defect shapes, algorithm optimizes patch layout to save precious restoration paper; preview cutting path and manually adjust layout.
依据确认后的缺损轮廓，自适应调节研磨压力与行进速度，批量自动裁切，复刻手工撕纸自然毛边，完全匹配古籍修复传统工艺要求。
According to confirmed defect contours, adapt grinding pressure & speed for batch cutting, reproducing natural hand‑torn edges meeting traditional restoration requirements.
裁切完成后，系统建立破损缺口与补片一一对应数据库，支持跨画布、跨书叶、跨典籍的双向检索匹配，快速定位待修补区域及对应补片，大幅降低人工对位难度。
Build one‑to‑one database for defects & patches, support cross‑leaf / cross‑book bidirectional search, quickly match defect and patch to reduce manual alignment workload.
线上线下双端协同作业，设备端、移动端的数据双向同步，无网络环境下亦可离线完成缺口编辑、批量排版、信息编目、双向寻位等操作。作业完成后自动归档全流程参数、图像档案，沉淀可复用修复数字资产，支撑工艺迭代进化。
Dual‑end sync between device and tablet. Complete editing, layout, cataloging and tracing offline without network. Auto‑archive full‑process parameters & images to build reusable digital restoration assets for process iteration.
科技不替代修复经验和传统匠心，而是让百年修复经验标准化、可复制、稳定高效落地
Technology does not replace craftsmanship, but makes century‑old restoration experience standardized, replicable and efficient.
针对缺损轮廓开展视觉识别、编辑与带毛边补纸裁切。
Vision recognition, editing and torn‑edge patch cutting for book defects.
用于演示机器视觉、数字轮廓、机械执行及寻位定位溯源之间的关系。
Demonstrate workflow of machine vision, digital contour, mechanical execution and position tracing.
在统一任务设置下开展样本验证、参数对比、作业复盘与工艺迭代。
Sample verification, parameter comparison, workflow review and process iteration under unified task setup.
结合项目实际形成图像、轮廓、任务信息与作业参数的工程档案持续记录，编目归档，实现古籍数字化建档、病害统计，沉淀并积累更具价值的古籍修复数字资产。
Continuously archive images, contours, task info & parameters for digital filing, disease statistics and valuable digital restoration assets accumulation.
本参数为标准配置参考，实际配置、测量方法与验收口径以双方确认的技术协议为准
Parameters for reference only. Actual configuration, measurement & acceptance subject to signed technical agreement.
| 项目 | 技术指标 |
|---|---|
| 作业幅面 | ≥A3全幅面（297 × 420 mm） |
| A3成像分辨率 | ≥513 dpi |
| 物理成像精度 | 0.05 mm/px |
| RGB成像 | 48 MP |
| IR成像 | 48 MP |
| 3D结构光 Z 深度 | ≤0.01 mm |
| 项目 | 技术指标 |
|---|---|
| 机械臂自由度 | 6轴 |
| 重复定位精度 | ±0.02 mm |
| 补纸裁切精度 | 0.02 mm |
| 整机尺寸 | 1260 × 960 × 1000 mm |
| 整机重量 | 330 kg |
| 运行噪声 | ≤70 dB |
| Item | Specifications |
|---|---|
| Working Area | ≥A3 (297 × 420 mm) |
| A3 Resolution | ≥513 dpi |
| Pixel Precision | 0.05 mm/px |
| RGB Camera | 48 MP |
| IR Camera | 48 MP |
| 3D Structured‑Light Z Accuracy | ≤0.01 mm |
| Item | Specifications |
|---|---|
| Robot Degrees of Freedom | 6‑axis |
| Repeat Positioning Accuracy | ±0.02 mm |
| Patch Cutting Accuracy | 0.02 mm |
| Overall Dimension | 1260 × 960 × 1000 mm |
| Total Weight | 330 kg |
| Operating Noise | ≤70 dB |
商务咨询：设备采购、样机演示、项目方案、技术培训等
Business inquiry: equipment purchase, demo, project proposal & technical training
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