[AI35-8]Novelty Check - Obtain Search Strategy and Reference List and Feature Comparison
Obtain the retrieval strategy, filter list, and feature comparison content based on the task_id.
Note: A valid task ID must be used, and the preceding tasks must have been successfully submitted.
Request Parameters
List of parameters supported by this API endpoint
| Name | Type | Example | Description |
|---|---|---|---|
Required | string | 80d440b7-80a5-4233-a75f-ab72b0885c88 | Task id |
Response Schema
Structure of the API response data
| Field Name | Type | Example | Description |
|---|---|---|---|
data | object | - | response data |
lang | string | CN | Language code |
text | string | 需要处理的文本内容 | Input content used when operateType is expand/simplify/polish |
cc_num | integer<int32> | 100 | Control the token consumption of algorithm interface to control interface cost (optional) |
cc_pids | array | [
"CN123456789A",
"US20210150214A1",
"JP2021144566A"
] | List of patents for CC comparison |
request | object | {
"async": true,
"task_id": "a4ff2f0f5de6c15fd646a11df1de83da",
"operate_type": "generate"
} | Request body |
is_async | boolean | true | Whether it is an asynchronous request |
task_cost | number<float> | 276.2 | Total task cost time in seconds |
update_ts | string | 2025-10-14 13:44:11.458 | Last update time of the result |
cc_docs_num | integer<int32> | 70 | Total number of patents compared |
task_status | string | success | Current task execution status |
cc_threshold | number<float> | - | CC comparison threshold, features above this threshold are confirmed, below are pending confirmation |
debug_detail | object | {
"debug_info": "详细的调试信息"
} | Debug details returned when debug=true is enabled, mainly for internal testing analysis |
excute_times | integer<int32> | 14 | Number of search executions |
final_result | array | [
{
"lang": "CN",
"features": [],
"selected": false,
"patent_id": "1f4bd743-28f7-44d2-abab-b98a38c49f6b",
"user_added": false,
"most_similar": false,
"public_score": 1,
"feature_match_num": 0,
"comparative_literature_type": "A"
}
] | List of comparison information for found potentially related patents, sorted by public score |
lang | string | CN | Language |
document | string | 相关技术文档内容 | Comparison document |
features | array | [
{
"type": "public",
"score": 100,
"differ": "NONE",
"reason": "对比文件记载了基于智能手机图像识别的生产信息采集方法,通过智能手机拍摄图像并进行识别(相当于目标文本的具有图像识别能力的电话机),实现了图像信息采集、文字识别及信息获取功能,所有要素已被公开。",
"similar": true,
"public_score": 0,
"tech_feature": "具有图像识别能力的电话机",
"original_type": "public",
"original_score": 100,
"original_differ": "NONE",
"original_reason": "对比文件记载了基于智能手机图像识别的生产信息采集方法,通过智能手机拍摄图像并进行识别(相当于目标文本的具有图像识别能力的电话机),实现了图像信息采集、文字识别及信息获取功能,所有要素已被公开。",
"comparison_feature": "一种基于智能手机图像识别的生产信息采集方法,通过智能手机拍摄生产机器附带控制终端显示屏的图像,并裁剪出显示屏所在的图像区域;在显示屏图像区域中提取出显示框、显示框标签的外部轮廓;提取出显示框标签的文字,提取出显示框中显示的颜色或文字,并在智能手机页面进行显示"
},
{
"type": "public",
"score": 100,
"differ": "NONE",
"reason": "对比文件记载了通过智能手机拍摄图像(相当于目标文本的电话与摄像装置链接),智能手机本身集成摄像装置,且用于采集图像,所有要素已被公开。",
"similar": true,
"public_score": 0,
"tech_feature": "包括电话、与电话链接的摄像装置",
"original_type": "public",
"original_score": 100,
"original_differ": "NONE",
"original_reason": "对比文件记载了通过智能手机拍摄图像(相当于目标文本的电话与摄像装置链接),智能手机本身集成摄像装置,且用于采集图像,所有要素已被公开。",
"comparison_feature": "通过智能手机拍摄生产机器附带控制终端显示屏的图像"
},
{
"type": "public",
"score": 100,
"differ": "NONE",
"reason": "对比文件记载了智能手机拍摄图像作为待识别图像(相当于目标文本的通过命令控制摄像装置工作),拍摄动作隐含由命令或操作控制摄像装置工作,所有要素已被公开。",
"similar": true,
"public_score": 0,
"tech_feature": "至少包括一个用于控制与电话链接的摄像装置工作的命令",
"original_type": "public",
"original_score": 100,
"original_differ": "NONE",
"original_reason": "对比文件记载了智能手机拍摄图像作为待识别图像(相当于目标文本的通过命令控制摄像装置工作),拍摄动作隐含由命令或操作控制摄像装置工作,所有要素已被公开。",
"comparison_feature": "智能手机拍摄生产机器附带控制终端显示屏的屏幕图像作为待识别图像"
},
{
"type": "public",
"score": 100,
"differ": "NONE",
"reason": "对比文件记载了调用Tesseract API接口对图像进行识别,得到显示框标签的文字(相当于目标文本的根据摄取的图像信息获取文字信息),所有要素已被公开。",
"similar": true,
"public_score": 0,
"tech_feature": "根据摄取的图像信息获取该图像信息源的文字信息",
"original_type": "public",
"original_score": 100,
"original_differ": "NONE",
"original_reason": "对比文件记载了调用Tesseract API接口对图像进行识别,得到显示框标签的文字(相当于目标文本的根据摄取的图像信息获取文字信息),所有要素已被公开。",
"comparison_feature": "调用库函数Tesseract的API接口对灰度化处理后图像进行识别,得到显示框标签的文字"
},
{
"type": "public",
"score": 100,
"differ": "NONE",
"reason": "对比文件记载了将识别到的文字信息显示到手机屏幕页面(相当于目标文本的将文字信息显示在电话显示器上),所有要素已被公开。",
"similar": true,
"public_score": 0,
"tech_feature": "并将文字信息显示在电话显示器上",
"original_type": "public",
"original_score": 100,
"original_differ": "NONE",
"original_reason": "对比文件记载了将识别到的文字信息显示到手机屏幕页面(相当于目标文本的将文字信息显示在电话显示器上),所有要素已被公开。",
"comparison_feature": "将识别到的显示框标签的文字以及对应显示框中显示的颜色或文字显示到手机屏幕页面"
},
{
"type": "obvious",
"score": 80,
"differ": "Common",
"reason": "对比文件记载了通过无线网络传输并存储至服务器的数据库中(对应目标文本的通过地址从网络数据库获取文字信息),但未明确记载通过电路算法解析地址的具体过程。将识别信息传输到数据库并获取相关信息属于本领域常规手段,属于公知常识。",
"similar": true,
"public_score": 0,
"tech_feature": "电话机通过电路算法首先得到地址,再通过该地址从相关显示器的网络数据库得到文字信息",
"original_type": "obvious",
"original_score": 80,
"original_differ": "Common",
"original_reason": "对比文件记载了通过无线网络传输并存储至服务器的数据库中(对应目标文本的通过地址从网络数据库获取文字信息),但未明确记载通过电路算法解析地址的具体过程。将识别信息传输到数据库并获取相关信息属于本领域常规手段,属于公知常识。",
"comparison_feature": "通过无线网络传输并存储至服务器的数据库中"
}
] | Technical features list |
type | string | public | CC tag type |
score | integer<int32> | 100 | Similarity score between tech feature and comparison feature |
differ | string | NONE | Difference identifier |
reason | string | 对比文件记载了基于智能手机图像识别的生产信息采集方法,通过智能手机拍摄图像并进行识别,实现了图像信息采集、文字识别及信息获取功能,所有要素已被公开。 | Evaluation reason |
similar | boolean | true | Is similar |
claim_num | integer<int32> | 1 | Claim number (claim 1, claim 2, claim 3) |
claim_type | string | 独权 | Claim type (independent, dependent) |
public_score | number<float> | - | Public score of the feature |
tech_feature | string | 具有图像识别能力的电话机 | Technical feature (from input text) |
original_type | string | public | Original CC tag type |
type_for_user | string | obvious | User modified CC tag type |
original_score | integer<int32> | 100 | Original score |
score_for_user | integer<int32> | 85 | User modified score |
compare_feature | string | 基于智能手机的图像识别系统 | Compare feature |
differ_for_user | string | Common | User modified differ |
original_differ | string | NONE | Original differ |
original_reason | string | 对比文件记载了基于智能手机图像识别的生产信息采集方法,通过智能手机拍摄图像并进行识别,实现了图像信息采集、文字识别及信息获取功能,所有要素已被公开。 | Original reason |
reason_for_user | string | 用户修改的评判理由 | User modified reason |
comparison_feature | string | 一种基于智能手机图像识别的生产信息采集方法,通过智能手机拍摄生产机器附带控制终端显示屏的图像 | Feature found in comparison document |
selected | boolean | - | Is selected |
patent_id | string | a344d039-4b85-4ab1-bf83-4e0f9197d010 | Patent ID |
user_added | boolean | - | User added |
most_similar | boolean | - | Is most similar |
public_score | number<float> | 0.993 | Public score |
creativity_type | string | public | Creativity type (public:public, obvious:obvious) |
feature_match_num | integer<int32> | - | Feature match number |
comparative_literature_type | string | A | Comparative literature type |
comparative_literature_category | string | novelty | Comparative literature category (novelty:novelty, creativity:creativity) |
operate_type | string | generate | Operation type (generate content/expand/polish/simplify) |
process_dict | object | {
"semantic_search": {
"type": "semantic_search",
"title": {
"en": "Semantic Search",
"zh": "语义检索"
},
"status": "success",
"query_thinking": {
"zh": "根据用户输入内容进行语义检索"
}
}
} | Detailed results of each search process including title, query thinking, search results and other information |
find_patent_num | integer<int32> | - | Number of potentially similar patents found |
feature_keywords | array | [
{
"weight": 0.85,
"feature": "图像识别",
"keywords": [
"image recognition",
"视觉识别"
]
}
] | List of feature keywords |
weight | number<float> | 0.85 | Weight value |
feature | string | 图像识别 | Feature name |
keywords | array | [
"image recognition",
"视觉识别",
"图像分析"
] | List of keywords |
process_dict_keys | array | [
"semantic_search",
"all_elements_search_tacd",
"all_elements_search_ai_summary",
"all_elements_search_dynamic",
"relevant_tracking_search"
] | List of process dictionary keys defining the order of search processes |
feature_analysis_result | object | {
"block_query": {},
"summary_result": {
"tech_problem": "现有电话机无法通过图像识别功能获取图像信息源的文字信息并显示在电话显示器上",
"tech_subject": "具有图像识别能力的电话机"
},
"feature_extract_result": [],
"keywords_extract_result": []
} | Feature analysis result containing summary result, feature extraction result, keyword extraction result and block query information |
block_query | object | {
"S1": {
"type": "basic",
"count": 96694,
"query": "TACD_ALL:((\"电话\" OR \"手机\"))",
"status": "success",
"feature_text_original": "一种具有图像识别能力的电话机"
}
} | Block query information containing detailed construction information for each search block |
summary_result | object | {
"tech_problem": "现有电话机无法通过图像识别功能获取图像信息源的文字信息并显示在电话显示器上",
"tech_subject": "具有图像识别能力的电话机",
"tech_efficacy": "实现了电话机通过图像识别功能获取图像信息源的文字信息并显示在电话显示器上",
"tech_solution": "一种具有图像识别能力的电话机"
} | Summary result containing technical problem, technical subject, technical feature table, technical solution and technical efficacy |
feature_extract_result | array | [
{
"feature_num": "F1",
"feature_weight": "topic",
"feature_function": "提供一种具备图像识别功能的电话机整体结构",
"feature_text_original": "一种具有图像识别能力的电话机"
}
] | List of feature extraction results containing detailed information of extracted technical features |
keywords_extract_result | array | [
{
"express": [],
"selected": true,
"feature_type": "topic_search",
"feature_text_original": "一种具有图像识别能力的电话机"
}
] | List of keyword extraction results containing extracted keywords and related information |
express | array | [
{
"ipc": [
{
"key": "H04M1/725",
"source": "keywords_extract"
}
],
"word": {
"key": "电话",
"source": "keywords_extract"
},
"extend": [
{
"key": "手机",
"source": "keywords_extract"
}
]
}
] | List of expressions containing keyword expressions and extension information |
ipc | array | [
{
"key": "H04M1/725",
"source": "keywords_extract"
},
{
"key": "H04M3/42",
"source": "semantic_search"
},
{
"key": "G06V10/00",
"source": "keywords_extract"
}
] | List of International Patent Classification codes |
key | string | 电话 | Keyword content |
source | string | keywords_extract | Keyword source |
word | object | {
"key": "电话",
"source": "keywords_extract"
} | Main keyword information |
extend | array | [
{
"key": "手机",
"source": "keywords_extract"
},
{
"key": "telephone",
"source": "keywords_extract"
},
{
"key": "phone",
"source": "keywords_extract"
}
] | List of extended keywords including synonyms and near-synonyms |
selected | boolean | true | Whether selected |
feature_type | string | topic_search | Feature type |
feature_text_original | string | 一种具有图像识别能力的电话机 | Original feature text |
statusRequired | boolean | false | Status |
error_msg | string | The request parameter format is incorrect! | Error Message |
error_codeRequired | integer | 0 | Error Code |
Success Response Example
Example of a successful API response
JSON
{
"data": {
"lang": "CN",
"text": "需要处理的文本内容",
"cc_num": 100,
"cc_pids": [
"CN123456789A",
"US20210150214A1",
"JP2021144566A"
],
"request": {
"async": true,
"task_id": "a4ff2f0f5de6c15fd646a11df1de83da",
"operate_type": "generate"
},
"is_async": true,
"task_cost": 276.2,
"update_ts": "2025-10-14 13:44:11.458",
"cc_docs_num": 70,
"task_status": "success",
"cc_threshold": 0,
"debug_detail": {
"debug_info": "详细的调试信息"
},
"excute_times": 14,
"final_result": [
{
"lang": "CN",
"document": "相关技术文档内容",
"features": [
{
"type": "public",
"score": 100,
"differ": "NONE",
"reason": "对比文件记载了基于智能手机图像识别的生产信息采集方法,通过智能手机拍摄图像并进行识别,实现了图像信息采集、文字识别及信息获取功能,所有要素已被公开。",
"similar": true,
"claim_num": 1,
"claim_type": "独权",
"public_score": 0,
"tech_feature": "具有图像识别能力的电话机",
"original_type": "public",
"type_for_user": "obvious",
"original_score": 100,
"score_for_user": 85,
"compare_feature": "基于智能手机的图像识别系统",
"differ_for_user": "Common",
"original_differ": "NONE",
"original_reason": "对比文件记载了基于智能手机图像识别的生产信息采集方法,通过智能手机拍摄图像并进行识别,实现了图像信息采集、文字识别及信息获取功能,所有要素已被公开。",
"reason_for_user": "用户修改的评判理由",
"comparison_feature": "一种基于智能手机图像识别的生产信息采集方法,通过智能手机拍摄生产机器附带控制终端显示屏的图像"
}
],
"selected": false,
"patent_id": "a344d039-4b85-4ab1-bf83-4e0f9197d010",
"user_added": false,
"most_similar": false,
"public_score": 0.993,
"creativity_type": "public",
"feature_match_num": 0,
"comparative_literature_type": "A",
"comparative_literature_category": "novelty"
}
],
"operate_type": "generate",
"process_dict": {
"semantic_search": {
"type": "semantic_search",
"title": {
"en": "Semantic Search",
"zh": "语义检索"
},
"status": "success",
"query_thinking": {
"zh": "根据用户输入内容进行语义检索"
}
}
},
"find_patent_num": 0,
"feature_keywords": [
{
"weight": 0.85,
"feature": "图像识别",
"keywords": [
"image recognition",
"视觉识别",
"图像分析"
]
}
],
"process_dict_keys": [
"semantic_search",
"all_elements_search_tacd",
"all_elements_search_ai_summary",
"all_elements_search_dynamic",
"relevant_tracking_search"
],
"feature_analysis_result": {
"block_query": {
"S1": {
"type": "basic",
"count": 96694,
"query": "TACD_ALL:((\"电话\" OR \"手机\"))",
"status": "success",
"feature_text_original": "一种具有图像识别能力的电话机"
}
},
"summary_result": {
"tech_problem": "现有电话机无法通过图像识别功能获取图像信息源的文字信息并显示在电话显示器上",
"tech_subject": "具有图像识别能力的电话机",
"tech_efficacy": "实现了电话机通过图像识别功能获取图像信息源的文字信息并显示在电话显示器上",
"tech_solution": "一种具有图像识别能力的电话机"
},
"feature_extract_result": [
{
"feature_num": "F1",
"feature_weight": "topic",
"feature_function": "提供一种具备图像识别功能的电话机整体结构",
"feature_text_original": "一种具有图像识别能力的电话机"
}
],
"keywords_extract_result": [
{
"express": [
{
"ipc": [
{
"key": "电话",
"source": "keywords_extract"
}
],
"word": {
"key": "电话",
"source": "keywords_extract"
},
"extend": [
{
"key": "电话",
"source": "keywords_extract"
}
]
}
],
"selected": true,
"feature_type": "topic_search",
"feature_text_original": "一种具有图像识别能力的电话机"
}
]
}
},
"status": true,
"error_code": 0
}Error Codes
List of possible error codes returned by this endpoint
Business Errors
| Error Code | Description |
|---|---|
68300004 | Invalid parameter! |
68300005 | Search api failure! |
68300006 | Analytic basic access error! |
68300007 | Bad request! |
68300008 | Service error, please try again later! |
68300010 | The file does not comply with upload specifications! |
Platform Errors
| Error Code | Description |
|---|---|
67200000 | API call exceeds the total limit set by the platform! |
67200001 | API call exceeds the total limit set by the platform! |
67200002 | The current call rate is too fast, exceeding the current configuration limit QPS! |
67200003 | The key and secret parameters for applying for the token are incorrect or the client has been disabled! |
67200004 | The requested api does not have permission. Please contact our support personnel! |
67200005 | Insufficient account balance/number of calls! |
67200006 | The client has exceeded the activation validity period! |
67200007 | The current call exceeds the configured usage limit of the day! |
67200008 | Please check if the required apikey in the query parameter has been transmitted! |
67200009 | The apikey does not match the passed bearerToken. Please check if a valid token is being used! |
67200012 | The request is illegal! |
67200100 | The current server status is busy, request response timeout! |
67200101 | The API requested currently does not exist. Please check the request path! |
HTTP Status Codes
| Status Code | Description |
|---|---|
0 | Success |
201 | Created |
401 | Unauthorized |
403 | Forbidden |
404 | Not Found |
Performance Metrics
Expected performance characteristics for this endpoint
Normal Response Time
5000 ms
Max Response Time
10000 ms