WO2019028610A1 - Big data-based patent value evaluating method - Google Patents

Big data-based patent value evaluating method Download PDF

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WO2019028610A1
WO2019028610A1 PCT/CN2017/096276 CN2017096276W WO2019028610A1 WO 2019028610 A1 WO2019028610 A1 WO 2019028610A1 CN 2017096276 W CN2017096276 W CN 2017096276W WO 2019028610 A1 WO2019028610 A1 WO 2019028610A1
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value
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information
evaluation
factor
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万忠凯
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深圳益强信息科技有限公司
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    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q50/18—Legal services

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  • the invention relates to the field of intangible assets evaluation, in particular to a patent value evaluation method based on big data.
  • a patent value evaluation method based on big data, applied to a server which includes:
  • the patent information is an application number, a patent number, an authorization announcement number, or a keyword, an applicant, an invention name agency, an inventor, and a certain paragraph in the application file.
  • the information related to the extraction target patent specifically includes:
  • the patent information includes patent information that can uniquely point to the target patent and patent information that cannot uniquely point to the target patent.
  • the patent information that can be uniquely pointed to the target patent is the application number, patent number or authorization notice number; the patent information that cannot be uniquely pointed to the target patent is a keyword, applicant, invention name agency, inventor, or a certain paragraph in the application document.
  • the relevant information of the target patent is technical field and/or industry information.
  • the searching for the evaluation information related to the patent value according to the related information of the target patent specifically: searching and the target patent technology field and/or the evaluation information related to the patent value in the same industry; the evaluation information The amount of infringement determination, the amount of patent transaction in the same field, the patent license fee in the same field, the target patent grant time, the number of patents in the technical field, the rejection rate of the patent in the technical field, the number of e-commerce in the industry, the listed company More than one of the quantity, the listed company's profit margin, the number of registered companies, and the rate.
  • the value of the target patent is calculated according to the predetermined rule according to the evaluation information, and specifically includes:
  • patent evaluation value basic value ⁇ first factor ⁇ second factor.
  • the calculating the value of the target patent according to the predetermined rule according to the evaluation information further comprising: S1074, introducing a patent stability factor, the number of invalidity according to the target patent, the number of claims words, the number of cited documents, and the cited documents
  • the calculating, according to the evaluation information, the value of the target patent according to a predetermined rule, further comprising: S1075, introducing a patent writing quality factor, according to the independent claim number, the total number of claims, the number of manual pages, the case The examiner reviews the case rejection rate, the proportion of successful invalidation, the rejection rate of the agency and/or agent agent case, and the value of one or more of the successful invalidation ratios; at this time, the patent evaluation value basic value ⁇ One factor ⁇ second factor ⁇ patent stability factor ⁇ patent writing quality factor.
  • the user terminal is a smartphone, a tablet, a personal digital assistant, a smart wearable device or a laptop portable computer.
  • the big data-based patent value evaluation method of the invention fully considers many factors affecting patent value, such as technical field, patent document writing, court judgment, patent transaction, patent examination, market, etc., and the system automatically collects and compares, saving A lot of manpower, the analysis is more comprehensive, the results are more accurate, and more reference.
  • FIG. 1 is a flow chart showing a method for evaluating a patent value based on big data according to an embodiment of the present invention
  • FIG. 2 is a flow chart showing the calculation of a target patent value according to an embodiment of the present invention.
  • User terminals to which the present invention relates include, but are not limited to, smartphones, tablets, personal digital assistants, smart wearable devices, laptop portable computers, and the like.
  • a method for evaluating a patent value based on big data is applied to a server, which includes:
  • the patent information is the application number, patent number, authorization notice number, or a certain part of the keyword, applicant, invention name agency, inventor, and application documents.
  • the patent information includes patent information that uniquely points to the target patent, and patent information that cannot uniquely point to the target patent.
  • the patent information that can be uniquely pointed to the target patent is the application number, patent number or authorization notice number;
  • the patent information that cannot be uniquely pointed to the target patent is the keyword, the applicant, the name agency, the inventor, or one of the application documents.
  • the relevant information of the target patent is technical field and/or industry information.
  • S105 Search for the evaluation information related to the patent value according to the related information of the target patent; specifically, search for the evaluation information related to the patent value in the same and/or the same industry as the target patent technology; the evaluation information is infringement Determining the amount, the amount of patent transactions in the same field, the patent license fee in the same field, the target patent grant time, the number of patents in the technical field, the rejection rate of patents in the technical field, the number of e-commerce in the industry, the number of listed companies, Listed company profit margin, registration More than one of the number and rate of companies.
  • a certain weight N1, N2, N3 is given to the infringement judgment, the patent transaction, and the patent license respectively, and the corresponding amount is weighted to obtain the basic value; if the infringement judgment, the patent transaction, the patent license cannot be obtained
  • the basic values can be set as input cost/replacement cost/amortization cost value, etc. as needed.
  • Infringement judgment has strong authority and can give N1 a higher weight. Patent transactions and patent licenses are more operative and can be given lower weight.
  • the first factor of the coefficient is greater than 1, the patent density is less than 1
  • patent evaluation value basic value ⁇ first factor ⁇ second factor.
  • the calculating, according to the evaluation information, the value of the target patent according to a predetermined rule further comprising: S1075, introducing a patent writing quality factor, according to the independent claim number, the total claim number, the manual page
  • the big data-based patent value evaluation method of the invention fully considers many factors affecting patent value, such as technical field, patent document writing, court judgment, patent transaction, patent examination, market, etc., and the system automatically collects and compares, saving A lot of manpower, the analysis is more comprehensive, the results are more accurate, and more reference.

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Abstract

A big data-based patent value evaluating method. The method is applied in a server, and comprises: receiving patent information sent by a user terminal (S101); extracting relevant information of a target patent (S103); searching for patent value-related evaluation information according to the relevant information of the target patent (S105); calculating the value of the target patent according to the evaluation information and a predetermined rule (S107); and outputting the evaluated value of the target patent to the user terminal (S109). According to the big data-based patent value evaluating method, many factors influencing the patent value, such as technical field, patent document writing, court decision, patent transaction, patent examination, and market, are taken into full consideration, and acquisition and comparison are automatically performed by a system; thus, human labor is greatly saved, the analysis is more comprehensive, and the result is more accurate and of greater reference significance.

Description

基于大数据的专利价值评估方法Big value based patent value evaluation method 技术领域Technical field
本发明涉及无形资产评估领域，特别涉及一种基于大数据的专利价值评估方法。The invention relates to the field of intangible assets evaluation, in particular to a patent value evaluation method based on big data.
背景技术Background technique
传统的专利价值都是采用人工方式进行评估，主观因素较强，且很少考虑市场价值等各方面的，容易造成对专利价值的错误估算，直接影响企业利用专利做技术投资、融资或者专利质押等商业活动。The traditional patent value is evaluated by manual method. The subjective factors are strong, and the market value is rarely considered. It is easy to cause wrong estimation of the patent value, which directly affects the enterprise's use of patents for technology investment, financing or patent pledge. And other business activities.
发明内容Summary of the invention
鉴于此，有必要提供一种基于大数据的专利价值评估方法。其通过采用大数据的算法，充分考虑了技术领域、专利文件撰稿、法律判决、市场等众多影响专利价值的因素，分析更为全面，结果更准确，更具有参考意义。In view of this, it is necessary to provide a patent value evaluation method based on big data. Through the use of big data algorithms, it fully considers the technical field, patent document writing, legal judgment, market and many other factors that affect the value of patents. The analysis is more comprehensive, the results are more accurate, and more reference.
本发明的目的通过以下技术方案实现：The object of the invention is achieved by the following technical solutions:
一种基于大数据的专利价值评估方法，应用于服务器，其包括：A patent value evaluation method based on big data, applied to a server, which includes:
S101，接收用户终端发送的专利信息；S101. Receive patent information sent by a user terminal.
S103，提取目标专利的相关信息；S103. Extract relevant information of the target patent;
S105，根据所述目标专利的相关信息搜索与专利价值相关的评估信息；S105. Search for the evaluation information related to the patent value according to the related information of the target patent;
S107，根据所述评估信息，按预定规则计算目标专利的价值；S107. Calculate, according to the evaluation information, a value of the target patent according to a predetermined rule;
S109，输出所述目标专利的评估价值至用户终端。S109. Output the evaluation value of the target patent to the user terminal.
优选地，所述专利信息为申请号、专利号、授权公告号、或者关键词、申请人、发明名称代理机构、发明人、申请文件中的某段文字。Preferably, the patent information is an application number, a patent number, an authorization announcement number, or a keyword, an applicant, an invention name agency, an inventor, and a certain paragraph in the application file.
优选地，所述提取目标专利的相关信息，具体包括： Preferably, the information related to the extraction target patent specifically includes:
判断所述专利信息能否唯一指向目标专利；Determining whether the patent information can be uniquely directed to the target patent;
若所述专利信息可唯一指向目标专利时，则提取所述目标专利的相关信息；If the patent information can uniquely point to the target patent, extract relevant information of the target patent;
若所述专利信息不能唯一指向目标专利，则发送所有符合条件的专利目录至用户终端，以便终端用户选定目标专利并发送给服务器，从而服务器接收用户终端发送的目标专利，并提取所述目标专利的相关信息。If the patent information cannot uniquely point to the target patent, all the eligible patent catalogs are sent to the user terminal, so that the terminal user selects the target patent and sends it to the server, so that the server receives the target patent sent by the user terminal, and extracts the target. Information about patents.
优选地，所述专利信息包括可唯一指向目标专利的专利信息及不能唯一指向目标专利的专利信息。可唯一指向目标专利的专利信息为申请号、专利号或授权公告号；不能唯一指向目标专利的专利信息为关键词、申请人、发明名称代理机构、发明人、或申请文件中的某段文字；所述目标专利的相关信息为技术领域和/或行业信息。Preferably, the patent information includes patent information that can uniquely point to the target patent and patent information that cannot uniquely point to the target patent. The patent information that can be uniquely pointed to the target patent is the application number, patent number or authorization notice number; the patent information that cannot be uniquely pointed to the target patent is a keyword, applicant, invention name agency, inventor, or a certain paragraph in the application document. The relevant information of the target patent is technical field and/or industry information.
优选地，所述根据所述目标专利的相关信息搜索与专利价值相关的评估信息，具体为：搜索与目标专利技术领域和/或相同行业中，与专利价值相关的评估信息；所述评估信息为侵权判定金额、相同领域的专利交易金额、相同领域的专利许可使用费、所述目标专利授权时间、该技术领域专利的数量、该技术领域专利的驳回率、该行业电商数量、上市公司数量、上市公司利润率、注册公司数量及速率中的一种以上。Preferably, the searching for the evaluation information related to the patent value according to the related information of the target patent, specifically: searching and the target patent technology field and/or the evaluation information related to the patent value in the same industry; the evaluation information The amount of infringement determination, the amount of patent transaction in the same field, the patent license fee in the same field, the target patent grant time, the number of patents in the technical field, the rejection rate of the patent in the technical field, the number of e-commerce in the industry, the listed company More than one of the quantity, the listed company's profit margin, the number of registered companies, and the rate.
优选地，根据所述评估信息，按预定规则计算目标专利的价值，具体包括：Preferably, the value of the target patent is calculated according to the predetermined rule according to the evaluation information, and specifically includes:
S1071，对侵权判定、专利交易、专利许可分别赋予一定权重N1，N2，N3，与相应的金额加权得出基本值；S1071, assigning a certain weight to the infringement judgment, patent transaction, and patent license, respectively, N1, N2, N3, and weighting the corresponding amount to obtain the basic value;
S1072，对于所述目标专利授权时间、该技术领域专利的驳回率、该行业电商数量、上市公司数量、上市公司利润率、注册公司数量赋予系数大于1的第一因子，专利密度形成小于1大于0的第二因子；S1072, for the target patent authorization time, the rejection rate of the patent in the technical field, the number of e-commerce in the industry, the number of listed companies, the profit rate of the listed company, and the number of registered companies, the first factor of the coefficient is greater than 1, the patent density is less than 1 a second factor greater than zero;
S1073，按以下公式计算专利的评估价值：专利评估价值＝基本值×第一因子×第二因子。 S1073, the evaluation value of the patent is calculated according to the following formula: patent evaluation value = basic value × first factor × second factor.
优选地，所述根据所述评估信息，按预定规则计算目标专利的价值，还包括：S1074，引入专利稳定性因子，其根据目标专利被无效次数，权利要求字数，引证文件数量，被引证文件数量，引证文件数量/该领域平均引证数量，被引证文件数量/该领域平均被引证数量中的一种或多种进行赋值；此时，专利评估价值＝基本值×第一因子×第二因子×专利稳定性因子。Preferably, the calculating the value of the target patent according to the predetermined rule according to the evaluation information, further comprising: S1074, introducing a patent stability factor, the number of invalidity according to the target patent, the number of claims words, the number of cited documents, and the cited documents The quantity, the number of cited documents / the average number of citations in the field, the number of cited documents / the average number of citations in the field are assigned; at this time, the value of patent evaluation = basic value × first factor × second factor × Patent stability factor.
优选地，所述根据所述评估信息，按预定规则计算目标专利的价值，还包括：S1075，引入专利撰稿质量因子，其根据独立权利要求数，总权利要求数，说明书页数，该案审查员审查案件驳回率、被成功无效比例，该代理机构和/或代理人代理案件的驳回率、被成功无效比例中一种或多种进行赋值；此时，专利评估价值＝基本值×第一因子×第二因子×专利稳定性因子×专利撰稿质量因子。Preferably, the calculating, according to the evaluation information, the value of the target patent according to a predetermined rule, further comprising: S1075, introducing a patent writing quality factor, according to the independent claim number, the total number of claims, the number of manual pages, the case The examiner reviews the case rejection rate, the proportion of successful invalidation, the rejection rate of the agency and/or agent agent case, and the value of one or more of the successful invalidation ratios; at this time, the patent evaluation value = basic value × One factor × second factor × patent stability factor × patent writing quality factor.
优选地，所述用户终端为智能手机、平板电脑、个人数字助理、智能穿戴设备或膝上型便携式计算机。Preferably, the user terminal is a smartphone, a tablet, a personal digital assistant, a smart wearable device or a laptop portable computer.
本发明的基于大数据的专利价值评估方法，其充分考虑了技术领域、专利文件撰稿、法院判决、专利交易、专利审查、市场等众多影响专利价值的因素，由系统自动采集比对，节省了大量人力，分析更为全面，结果更准确，更具有参考意义。The big data-based patent value evaluation method of the invention fully considers many factors affecting patent value, such as technical field, patent document writing, court judgment, patent transaction, patent examination, market, etc., and the system automatically collects and compares, saving A lot of manpower, the analysis is more comprehensive, the results are more accurate, and more reference.
附图说明DRAWINGS
图1是本发明一实施例的基于大数据的专利价值评估方法的流程图示意图；1 is a flow chart showing a method for evaluating a patent value based on big data according to an embodiment of the present invention;
图2是本发明一实施例的目标专利价值计算的流程示意图；2 is a flow chart showing the calculation of a target patent value according to an embodiment of the present invention;
具体实施方式Detailed ways
为了使本发明的目的、技术方案及优点更加清楚明白，以下结合附图及具体实施例，对本发明作进一步详细描述。应当理解，此处所描述的具体实施例 仅用以解释本发明，并不用于限定本发明。The present invention will be further described in detail below with reference to the drawings and specific embodiments. It should be understood that the specific embodiments described herein The invention is only intended to be illustrative, and is not intended to limit the invention.
本发明所涉及的用户终端包括但不限于智能手机、平板电脑、个人数字助理、智能穿戴设备及膝上型便携式计算机等。User terminals to which the present invention relates include, but are not limited to, smartphones, tablets, personal digital assistants, smart wearable devices, laptop portable computers, and the like.
参见图1，本发明较佳实施例的基于大数据的专利价值评估方法，应用于服务器，其包括：Referring to FIG. 1, a method for evaluating a patent value based on big data according to a preferred embodiment of the present invention is applied to a server, which includes:
S101，接收用户终端发送的专利信息；S101. Receive patent information sent by a user terminal.
该专利信息为申请号、专利号、授权公告号、或者关键词、申请人、发明名称代理机构、发明人、申请文件中的某段文字。The patent information is the application number, patent number, authorization notice number, or a certain part of the keyword, applicant, invention name agency, inventor, and application documents.
该专利信息包括可唯一指向目标专利的专利信息，以及不能唯一指向目标专利的专利信息。其中，可唯一指向目标专利的专利信息为申请号、专利号或授权公告号；不能唯一指向目标专利的专利信息为关键词、申请人、发明名称代理机构、发明人、或申请文件中的某段文字；The patent information includes patent information that uniquely points to the target patent, and patent information that cannot uniquely point to the target patent. Among them, the patent information that can be uniquely pointed to the target patent is the application number, patent number or authorization notice number; the patent information that cannot be uniquely pointed to the target patent is the keyword, the applicant, the name agency, the inventor, or one of the application documents. Paragraph text
S103，提取目标专利的相关信息，具体包括：S103. Extract relevant information of the target patent, including:
判断所述专利信息能否唯一指向目标专利；Determining whether the patent information can be uniquely directed to the target patent;
若所述专利信息可唯一指向目标专利时，则提取所述目标专利的相关信息；If the patent information can uniquely point to the target patent, extract relevant information of the target patent;
若所述专利信息不能唯一指向目标专利，则发送所有符合条件的专利目录至用户终端，以便终端用户选定目标专利并发送给服务器，从而服务器接收用户终端发送的目标专利，并提取所述目标专利的相关信息。If the patent information cannot uniquely point to the target patent, all the eligible patent catalogs are sent to the user terminal, so that the terminal user selects the target patent and sends it to the server, so that the server receives the target patent sent by the user terminal, and extracts the target. Information about patents.
所述目标专利的相关信息为技术领域和/或行业信息。The relevant information of the target patent is technical field and/or industry information.
S105，根据所述目标专利的相关信息搜索与专利价值相关的评估信息；具体地，搜索与目标专利技术领域相同和/或行业相同中，与专利价值相关的评估信息；所述评估信息为侵权判定金额、相同领域的专利交易金额、相同领域的专利许可使用费、所述目标专利授权时间、该技术领域专利的数量、该技术领域专利的驳回率、该行业电商数量、上市公司数量、上市公司利润率、注册 公司数量及速率中的一种以上。S105. Search for the evaluation information related to the patent value according to the related information of the target patent; specifically, search for the evaluation information related to the patent value in the same and/or the same industry as the target patent technology; the evaluation information is infringement Determining the amount, the amount of patent transactions in the same field, the patent license fee in the same field, the target patent grant time, the number of patents in the technical field, the rejection rate of patents in the technical field, the number of e-commerce in the industry, the number of listed companies, Listed company profit margin, registration More than one of the number and rate of companies.
S107，根据所述评估信息，按预定规则计算目标专利的价值；S107. Calculate, according to the evaluation information, a value of the target patent according to a predetermined rule;
具体地，参见图2，S1071，对侵权判定、专利交易、专利许可分别赋予一定权重N1，N2，N3，与相应的金额加权得出基本值；若无法获得跟侵权判定、专利交易、专利许可相关的数值，则基本值可以根据需要设置为投入成本/重置成本/待摊销成本数值等。侵权判定、专利交易、专利许可金额越大，说明该专利越有价值，基本值越大。侵权判定具有较强的权威性，可以赋予N1较高的权重，专利交易及专利许可操作性较强，可以赋予较低的权重。Specifically, referring to FIG. 2, S1071, a certain weight N1, N2, N3 is given to the infringement judgment, the patent transaction, and the patent license respectively, and the corresponding amount is weighted to obtain the basic value; if the infringement judgment, the patent transaction, the patent license cannot be obtained For the relevant values, the basic values can be set as input cost/replacement cost/amortization cost value, etc. as needed. The greater the infringement judgment, patent transaction, and patent license, the more valuable the patent is and the greater the basic value. Infringement judgment has strong authority and can give N1 a higher weight. Patent transactions and patent licenses are more operative and can be given lower weight.
S1072，对于所述目标专利授权时间、该技术领域专利的驳回率、该行业电商数量、上市公司数量、上市公司利润率、注册公司数量赋予系数大于1的第一因子，专利密度形成小于1大于0的第二因子；目标专利授权时间越长、该技术领域专利的驳回率越高、该行业电商数量越多、上市公司数量越多、上市公司利润率越高、注册公司数量越多均说明该专利在该领域具有更高的价值，可赋予其越高的第一因子。S1072, for the target patent authorization time, the rejection rate of the patent in the technical field, the number of e-commerce in the industry, the number of listed companies, the profit rate of the listed company, and the number of registered companies, the first factor of the coefficient is greater than 1, the patent density is less than 1 The second factor greater than 0; the longer the target patent authorization time, the higher the rejection rate of the patent in the technical field, the greater the number of e-commerce in the industry, the greater the number of listed companies, the higher the profit margin of listed companies, and the greater the number of registered companies. Both indicate that the patent has higher value in the field and can give it a higher first factor.
S1073，按以下公式计算专利的评估价值：专利评估价值＝基本值×第一因子×第二因子。S1073, the evaluation value of the patent is calculated according to the following formula: patent evaluation value = basic value × first factor × second factor.
在另一实施例中，所述根据所述评估信息，按预定规则计算目标专利的价值，还包括：S1074，引入专利稳定性因子，其根据目标专利被无效次数，权利要求字数，引证文件数量，被引证文件数量，引证文件数量/该领域平均引证数量，被引证文件数量/该领域平均被引证数量中的一种或多种进行赋值；此时，专利评估价值＝基本值×第一因子×第二因子×专利稳定性因子。In another embodiment, the calculating the value of the target patent according to the predetermined rule according to the evaluation information further includes: S1074, introducing a patent stability factor, the number of invalidated patents according to the target patent, the number of claims, and the number of documents cited , the number of cited documents, the number of cited documents / the average number of cited in the field, the number of cited documents / the average number of cited in the field is assigned; in this case, the value of patent evaluation = basic value × first factor × second factor × patent stability factor.
在又一实施例中，所述根据所述评估信息，按预定规则计算目标专利的价值，还包括：S1075，引入专利撰稿质量因子，其根据独立权利要求数，总权利要求数，说明书页数，该案审查员审查案件驳回率、被成功无效比例，该代理机构和/或代理人代理案件的驳回率、被成功无效比例中一种或多种进行赋 值；此时，专利评估价值＝基本值×第一因子×第二因子×专利稳定性因子×专利撰稿质量因子。In still another embodiment, the calculating, according to the evaluation information, the value of the target patent according to a predetermined rule, further comprising: S1075, introducing a patent writing quality factor, according to the independent claim number, the total claim number, the manual page The case examiner examines the case rejection rate, the percentage of successful invalidation, the rejection rate of the agency and/or agent agent case, and one or more of the successful invalidity ratios. Value; at this time, the patent evaluation value = basic value × first factor × second factor × patent stability factor × patent writing quality factor.
S109，输出所述目标专利的评估价值至用户终端。S109. Output the evaluation value of the target patent to the user terminal.
本发明的基于大数据的专利价值评估方法，其充分考虑了技术领域、专利文件撰稿、法院判决、专利交易、专利审查、市场等众多影响专利价值的因素，由系统自动采集比对，节省了大量人力，分析更为全面，结果更准确，更具有参考意义。The big data-based patent value evaluation method of the invention fully considers many factors affecting patent value, such as technical field, patent document writing, court judgment, patent transaction, patent examination, market, etc., and the system automatically collects and compares, saving A lot of manpower, the analysis is more comprehensive, the results are more accurate, and more reference.
以上所述仅是本发明的部分实施方式，应当指出，对于本技术领域的普通技术人员来说，在不脱离本发明原理的前提下，还可以做出若干改进和润饰，这些改进和润饰也应视为本发明的保护范围。 The above is only a part of the embodiments of the present invention, and it should be noted that those skilled in the art can also make several improvements and retouchings without departing from the principles of the present invention. It should be considered as the scope of protection of the present invention.

Claims (10)

  1. 一种基于大数据的专利价值评估方法，应用于服务器，其特征在于包括：A patent value evaluation method based on big data, applied to a server, which is characterized by:
    S101，接收用户终端发送的专利信息；S101. Receive patent information sent by a user terminal.
    S103，提取目标专利的相关信息；S103. Extract relevant information of the target patent;
    S105，根据所述目标专利的相关信息搜索与专利价值相关的评估信息；S105. Search for the evaluation information related to the patent value according to the related information of the target patent;
    S107，根据所述评估信息，按预定规则计算目标专利的价值；S107. Calculate, according to the evaluation information, a value of the target patent according to a predetermined rule;
    S109，输出所述目标专利的评估价值至用户终端。S109. Output the evaluation value of the target patent to the user terminal.
  2. 根据权利要求1所述的基于大数据的专利价值评估方法，其特征在于，所述专利信息为申请号、专利号、授权公告号、或者关键词、申请人、发明名称代理机构、发明人、申请文件中的某段文字。The method for evaluating a patent value based on big data according to claim 1, wherein the patent information is an application number, a patent number, an authorization bulletin number, or a keyword, an applicant, an agency name agency, an inventor, A paragraph of the text in the application document.
  3. 根据权利要求1所述的基于大数据的专利价值评估方法，其特征在于，所述专利信息包括可唯一指向目标专利的专利信息及不能唯一指向目标专利的专利信息。The method for evaluating a patent value based on big data according to claim 1, wherein the patent information includes patent information uniquely pointing to a target patent and patent information that cannot uniquely point to a target patent.
  4. 根据权利要求3所述的基于大数据的专利价值评估方法，其特征在于，可唯一指向目标专利的专利信息为申请号、专利号或授权公告号；不能唯一指向目标专利的专利信息为关键词、申请人、发明名称代理机构、发明人、或申请文件中的某段文字；所述目标专利的相关信息为技术领域和/或行业信息。The method for evaluating a patent value based on big data according to claim 3, wherein the patent information that can be uniquely pointed to the target patent is an application number, a patent number or an authorization announcement number; and the patent information that cannot uniquely point to the target patent is a keyword. , the applicant, the name of the agency, the inventor, or a paragraph in the application documents; the relevant information of the target patent is technical field and/or industry information.
  5. 根据权利要求1所述的基于大数据的专利价值评估方法，其特征在于，所述提取目标专利的相关信息，具体包括：The big data-based patent value evaluation method according to claim 1, wherein the extracting the related information of the target patent comprises:
    判断所述专利信息能否唯一指向目标专利；Determining whether the patent information can be uniquely directed to the target patent;
    若所述专利信息可唯一指向目标专利时，则提取所述目标专利的相关信息；If the patent information can uniquely point to the target patent, extract relevant information of the target patent;
    若所述专利信息不能唯一指向目标专利，则发送所有符合条件的专利目录至用户终端，以便终端用户选定目标专利并发送给服务器，从而服务器接收用 户终端发送的目标专利，并提取所述目标专利的相关信息。If the patent information cannot uniquely point to the target patent, all the eligible patent catalogs are sent to the user terminal, so that the terminal user selects the target patent and sends it to the server, so that the server receives The target patent sent by the terminal, and extracting relevant information of the target patent.
  6. 根据权利要求1所述的基于大数据的专利价值评估方法，其特征在于，所述根据所述目标专利的相关信息搜索与专利价值相关的评估信息，具体为：搜索与目标专利技术领域和/或相同行业中，与专利价值相关的评估信息；所述评估信息为侵权判定金额、相同领域的专利交易金额、相同领域的专利许可使用费、所述目标专利授权时间、该技术领域专利的数量、该技术领域专利的驳回率、该行业电商数量、上市公司数量、上市公司利润率、注册公司数量及速率中的一种以上。The method for evaluating a patent value based on big data according to claim 1, wherein the searching for the evaluation information related to the patent value according to the related information of the target patent is specifically: a search and target patent technology field and/or Or the same industry, the evaluation information related to the patent value; the evaluation information is the infringement judgment amount, the patent transaction amount in the same field, the patent license fee in the same field, the target patent authorization time, the number of patents in the technical field The rejection rate of the patent in the technical field, the number of e-commerce in the industry, the number of listed companies, the profit rate of listed companies, the number and rate of registered companies, and more.
  7. 根据权利要求1所述的基于大数据的专利价值评估方法，其特征在于，根据所述评估信息，按预定规则计算目标专利的价值，具体包括：The method for evaluating a patent value based on big data according to claim 1, wherein the value of the target patent is calculated according to the predetermined rule according to the evaluation information, and specifically includes:
    S1071，对侵权判定、专利交易、专利许可分别赋予一定权重N1，N2，N3，与相应的金额加权得出基本值；S1071, assigning a certain weight N 1 , N 2 , N 3 to the infringement judgment, patent transaction, and patent license, and weighting the corresponding amount to obtain the basic value;
    S1072，对于所述目标专利授权时间、该技术领域专利的驳回率、该行业电商数量、上市公司数量、上市公司利润率、注册公司数量赋予系数大于1的第一因子，专利密度形成小于1大于0的第二因子；S1072, for the target patent authorization time, the rejection rate of the patent in the technical field, the number of e-commerce in the industry, the number of listed companies, the profit rate of the listed company, and the number of registered companies, the first factor of the coefficient is greater than 1, the patent density is less than 1 a second factor greater than zero;
    S1073，按以下公式计算专利的评估价值：专利评估价值＝基本值×第一因子×第二因子。S1073, the evaluation value of the patent is calculated according to the following formula: patent evaluation value = basic value × first factor × second factor.
  8. 根据权利要求7所述的基于大数据的专利价值评估方法，其特征在于，所述根据所述评估信息，按预定规则计算目标专利的价值，还包括：S1074，引入专利稳定性因子，其根据目标专利被无效次数，权利要求字数，引证文件数量，被引证文件数量，引证文件数量/该领域平均引证数量，被引证文件数量/该领域平均被引证数量中的一种或多种进行赋值；此时，专利评估价值＝基本值×第一因子×第二因子×专利稳定性因子。The method for evaluating a patent value based on big data according to claim 7, wherein the calculating the value of the target patent according to the predetermined rule according to the evaluation information further comprises: S1074, introducing a patent stability factor, according to The number of invalidated target patents, the number of claims words, the number of cited documents, the number of cited documents, the number of cited documents / the average number of cited documents in the field, the number of cited documents / the average number of cited fields in the field are assigned; At this time, the patent evaluation value = basic value × first factor × second factor × patent stability factor.
  9. 根据权利要求7或8所述的基于大数据的专利价值评估方法，其特征在于，所述根据所述评估信息，按预定规则计算目标专利的价值，还包括： S1075，引入专利撰稿质量因子，其根据独立权利要求数，总权利要求数，说明书页数，该案审查员审查案件驳回率、被成功无效比例，该代理机构和/或代理人代理案件的驳回率、被成功无效比例中一种或多种进行赋值；此时，专利评估价值＝基本值×第一因子×第二因子×专利稳定性因子×专利撰稿质量因子。The method for evaluating a patent value based on big data according to claim 7 or 8, wherein the calculating the value of the target patent according to the predetermined rule according to the evaluation information further includes: S1075, introducing a patent writing quality factor according to the number of independent claims, the total number of claims, the number of pages of the manual, the examiner reviewing the case rejection rate, the proportion of successful invalidation, and the agency and/or agent acting for the case The rejection rate is assigned by one or more of the successful invalid ratios; at this time, the patent evaluation value = basic value × first factor × second factor × patent stability factor × patent writing quality factor.
  10. 根据权利要求1-8任一项所述的基于大数据的专利价值评估方法，其特征在于，所述用户终端为智能手机、平板电脑、个人数字助理、智能穿戴设备或膝上型便携式计算机。 The big data-based patent value evaluation method according to any one of claims 1-8, wherein the user terminal is a smart phone, a tablet computer, a personal digital assistant, a smart wearable device or a laptop portable computer.
PCT/CN2017/096276 2017-08-07 2017-08-07 Big data-based patent value evaluating method WO2019028610A1 (en)

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