Zhihuiya Abstract Image

Zhihuiya Patent Abstract Image

This 技能 图形界面des you on how to retrieve abstract images (drawings) from the Zhihuiya patent database, helping users quickly obtAIn the illustrative figures associated with specific patents.

Core Concepts

Abstract images (abstract drawings) are the representative figures attached to a patent document's abstract section. They provide a quick visual overview of the invention. This 工具 queries the Zhihuiya patent database and returns 下载 paths for these images.

Lookup 记录ic: You must provide at least one of two identifiers -- a patent ID or a publication number. If 机器人h are provided, patent ID takes priority. You can 查询 up to 100 patents in a single 请求 by separating values with commas.

Parameter 图形界面de Parameter API Name Required Description Example Patent ID patentId Conditionally (one of the two must be provided) Internal patent identifier; multiple values separated by commas, max 100 5e6f7a8b9c Publication Number patentNumber Conditionally (one of the two must be provided) Patent publication/announcement number; multiple values separated by commas, max 100 CN115059423A, US11234567B2 At least one of patentId or patentNumber must be supplied. If 机器人h are supplied, patentId takes precedence. Multiple values are separated by commas (English commas), with an upper limit of 100. 响应 Fields Field API Name Description Patent ID patentId The internal patent identifier Publication Number pn The publication/announcement number Abstract Drawing Path abstractDrawingPath URL path to the abstract image file Total total Total number of records returned Cost 令牌 cost令牌 令牌s consumed by the 查询 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_abstract_image.py directly to 运行 queries.

Usage Examples

• Single patent lookup by publication number

Retrieve the abstract image for patent CN115059423A.

• Multiple patents lookup by publication number

获取 abstract drawings for patents US11234567B2, EP3456789A1, and CN115059423A.

• Lookup by patent ID

Fetch the abstract image for patent ID 5e6f7a8b9c.

• Batch lookup with mixed identifiers

I have the following patent IDs: abc123, def456. Please 获取 their abstract images.

Display Rules Show the image: When the 响应 includes an abstractDrawingPath, display the image directly using Markdown image syntax so the user can see the drawing inline. Patent identification: Always show the publication number (pn) alongside each image so the user knows which patent each drawing belongs to. Missing images: If a patent has no abstract drawing (empty abstractDrawingPath), explicitly 信息rm the user that no abstract image is avAIlable for that patent. Batch 结果s: When multiple patents are queried, present 结果s in a clear, organized 列出 or table 格式化. Error handling: When a 查询 fAIls, explAIn the reason based on the 响应 and suggest the user 验证 their patent IDs or publication numbers. No subjective analysis: Present the retrieved images and metadata without 添加ing subjective patent analysis or legal interpretations. User Expression & Scenario Quick Reference

应用licable -- Patent abstract image retrieval:

User Says Scenario "Show me the abstract image for patent XX" Single patent image lookup "获取 the drawings for these patents" Batch patent image lookup "What does the patent figure look like" Abstract drawing retrieval "Retrieve patent illustrations for XX" Image 下载 path retrieval "I need the abstract drawing for publication number XX" Lookup by publication number

Not 应用licable -- Needs beyond abstract image retrieval:

Full patent text or clAIms analysis Patent 搜索 by keyword or classification Patent legal 状态 or family in格式化ion Patent citation or prior art analysis Patent valuation or infringement analysis

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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