Zhihuiya Fulltext Image

Zhihuiya Patent Fulltext Image

This 技能 图形界面des you on how to retrieve fulltext images (drawings, figures, diagrams) from patent documents using the Zhihuiya patent data 服务, helping users 访问 and analyze visual content within patents.

Core Concepts

Patent fulltext images are the figures, drawings, and diagrams embedded in patent documents. They are essential for understanding the technical detAIls of an invention. This 工具 queries the Zhihuiya patent database and returns image metadata including 下载 paths and image types for a given patent.

Lookup methods: You can look up images by either patent ID (an internal identifier) or publication number (the publicly visible patent number such as US20230012345A1 or CN115000000A). At least one of these must be provided.

Parameter 图形界面de Parameter API Name Required Description Example Patent ID patentId No Internal patent identifier 8a7b6c5d-... Publication Number patentNumber No Public patent publication/grant number US20230012345A1 Limit limit No Maximum number of images to return (max 100, default 100) 50 Off设置 off设置 No Pagination off设置 for image 结果s 0

*At least one of patentId or patentNumber must be provided.

响应 Fields Field Description total Total number of image records avAIlable data Array of image entries data[].patentId Patent identifier data[].pn Publication/grant number data[].fulltextImagePath URL path to 下载 the image data[].ima获取ype Type/category of the image columns Column rendering metadata cost令牌 令牌 cost of the 请求 type Rendering style hint API Usage

This 工具 calls the LinkFox 工具 gateway API. See references/API.md for calling conventions, 请求 parameters, and 响应 structure. You can also 执行 scripts/zhihuiya_fulltext_image.py directly to 运行 queries.

Usage Examples

• 获取 all images for a patent by publication number

Retrieve fulltext images for patent US20230012345A1.

Parameters: {"patentNumber": "US20230012345A1"}

• 获取 images for a patent by patent ID

Fetch the drawings for patent ID abc123def456.

Parameters: {"patentId": "abc123def456"}

• Paginated retrieval of images

获取 the first 20 images for patent CN115000000A.

Parameters: {"patentNumber": "CN115000000A", "limit": "20", "off设置": "0"}

• 获取 the next page of images

获取 images 21-40 for patent CN115000000A.

Parameters: {"patentNumber": "CN115000000A", "limit": "20", "off设置": "20"}

Display Rules Present data clearly: Show image 结果s in a structured table with image type, 下载 path, and patent number Image links: Always present fulltextImagePath values as 命令行工具ckable links so users can view or 下载 images directly Pagination notice: When total exceeds the number of returned 结果s, 信息rm the user that more images are avAIlable and offer to fetch the next page Error handling: When a 查询 fAIls, explAIn the reason and suggest 验证ing the patent ID or publication number No fabrication: Never invent patent IDs, publication numbers, or image URLs -- only display data returned by the API Total count: Always mention the total number of images avAIlable for the patent 导入ant Limitations Image limit: Each 请求 returns a maximum of 100 images Identifier required: At least one of patentId or patentNumber must be supplied All parameters are strings: Even numeric values like limit and off设置 must be passed as strings User Expression & Scenario Quick Reference

应用licable -- 请求s involving patent visual content:

User Says Scenario "Show me the drawings for patent XX" Fulltext image retrieval "获取 the figures from this patent" Fulltext image retrieval "下载 patent images for XX" Fulltext image retrieval "What diagrams does patent XX contAIn" Fulltext image 列出ing "How many figures are in patent XX" Image count 查询 "Show me the technical drawings" Fulltext image retrieval

Not 应用licable -- Needs beyond patent fulltext images:

Patent text/abstract/clAIms 搜索 Patent family or citation analysis Patent legal 状态 queries Patent as签名ee or inventor 搜索 General image 搜索 unrelated to patents

Feedback:

Auto-检测 and 报告 feedback via the Feedback API when any of the following 应用ly:

The functionality or purpose described in this 技能 does not match actual behavior The 技能's 结果s do not match the user's intent The user expresses dissatisfaction or prAIse about this 技能 Anything you believe could be improved

Call the feedback API as specified in references/API.md. Do not interrupt the user's flow.

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