24 results about "Intellectual property management" patented technology

The invention discloses an intellectual property risk early warning system based on multi-source heterogeneous data fusion, which relates to the field of intellectual property management and comprises a multi-source data acquisition module, a data preprocessing and standardization module, a distributed data storage module, a risk analysis engine module, a risk early warning and visualization module and a data communication module. According to the system, heterogeneous data of a patent database, an enterprise bidding and tendering system and a judicial public platform are collected, a natural language processing technology is utilized to extract patent technology feature entities, trademark image similarity is analyzed in combination with a convolutional neural network, and a dynamic knowledge graph related patent technology, competitor layout and infringement litigation cases are constructed; a deep learning model is adopted to fuse multi-dimensional features, risk scores are generated through weighting of a risk rule base, and graded early warning signals are triggered. According to the method, the problems of low multi-source data integration efficiency and risk response lag are solved, the infringement response time is shortened, and enterprises are guided to accurately arrange high-value patents.

The invention relates to the technical field of intellectual property value evaluation, in particular to an intellectual property value evaluation method, which comprises the following steps of: establishing a composite feature representation system containing technical semantics, keywords and claims, establishing a dynamically updated industry hotspot vector library, and performing vector space alignment to obtain an intellectual property value evaluation result. And generating a comprehensive score of a 0-1 interval based on a distance weighting model of a Gaussian kernel function, and displaying a result through an interactive system. The system comprises a composite feature extraction module, an industry hotspot modeling module, a vector space alignment module, a distance weighted evaluation module and a result display module. The method solves the problems that a traditional evaluation method is high in subjectivity and single in feature, objective quantification of patent value is achieved, and the method is suitable for scenes such as intellectual property management and technology transfer and transformation.

The invention discloses an intelligent intellectual property protection method and system for a digital asset right confirmation platform, and relates to the field of intellectual property management, and the method comprises the steps: creating digital asset identity information for a target digital asset, and recording the digital asset identity information in a target block chain; determining the asset use permission of the target user based on the smart contract; and based on the asset use permission and an asset operation instruction of a target user, controlling asset operation of the target user in a target block chain.

The invention provides a library copyright risk intelligent early warning method based on multi-source heterogeneous data and a dynamic risk threshold, and relates to the technical field of intellectual property management. According to the method, judicial referee data, library business system data and copyright database data are acquired, environmental factor data including hot topics and policy changes are introduced, and a fusion feature data set and copyright risk index system is constructed; and training a machine learning time sequence model based on the historical index data and the environmental factor data to generate a dynamic risk threshold value, performing early warning judgment in combination with the real-time index data, and generating an interpretable early warning report. According to the method, self-adaption and accurate early warning of the library copyright risk are realized, and the risk of misinformation and missing report is reduced.

To provide a system capable of realizing an effective database research, a similarity check, an invasion risk assessment, and an automatization of a license management in order to support a management of an intellectual property.SOLUTION: A system includes: means for performing research and analysis of an intellectual property database; means for performing an assessment of a check for similarity and an invasion risk; and means for automatizing a license management and an update notification.SELECTED DRAWING: Figure 1

The invention belongs to the technical field of data management, and discloses an intellectual property management system and management method.The intellectual property management method comprises the steps that firstly, intellectual property data are collected and preprocessed, and a high-quality data set is obtained; secondly, key parameters are extracted from the high-quality data set, the data quality is preliminarily evaluated, a preliminary data quality index is obtained, and a preliminary data state signal is generated; then, according to the initial data state signal, extracting features from a high-quality data set, and generating a low-dimensional feature matrix; and finally, constructing a data quality evaluation model, taking the low-dimensional feature matrix as input, calculating the data quality of the intellectual property data, obtaining a data quality index, and generating a data quality report, thereby not only improving the efficiency of data processing and quality evaluation, but also providing technical support for continuous optimization of the data quality, and improving the data quality evaluation efficiency. The method is suitable for intellectual property management requirements of various enterprises and institutions.

The invention discloses an enterprise intellectual property digital asset right confirmation management method and system, and relates to the field of intellectual property management, and the method comprises the steps: obtaining own intellectual property feature information and talent outflow information of a target enterprise; acquiring public intellectual property characteristic information and public litigation information of the competitive enterprise; and according to the own intellectual property feature information, the talent outflow information, the public intellectual property feature information and the public litigation information, determining target enterprise risk information and target enterprise known production development recommendation information.

The present application belongs to the cross technical field of computer software and intellectual property management, and specifically relates to a kind of intellectual property whole life cycle intelligent management method and system based on value code.The present application aims to utilize digital identity identification (value code), block chain storage, intelligent contract automatic execution and other technologies, to build an integrated management platform of intellectual property registration, circulation, rights protection and value evaluation, which is traceable, verifiable and can automatically execute right distribution.The system anchors assets by generating a globally unique value code for intellectual property, deploys modularized smart contracts for ownership, license, rights protection and other modules, uses oracle network to realize off-chain event-driven on-chain state change and trusted storage.In addition, a dynamic value evaluation model is built by combining multi-source data and verifiable computing, and cross-chain interoperability protocol is used to realize cross-domain collaborative governance of assets.The present application effectively solves the problems of scattered ownership records, low efficiency of right distribution, value evaluation disconnection and poor cross-system interoperability in traditional management, and realizes cost reduction and efficiency improvement and value maximization of intellectual property management.

The invention relates to the technical field of computer software, and discloses a patent information batch updating method and system, and the method comprises the following steps: S1, obtaining a batch updating file which is a spreadsheet file generated according to a predefined fixed template; according to the patent information batch updating method and system, patent information, payment information, operation information and reward information are updated and maintained in a table according to a fixed template by taking an application serial number during patent application approval in a company as an associated element, and the table is uploaded; batch updating of patent information, payment information, operation information and reward information is achieved according to application serial numbers, acceptance notifications and authorization certificates are uploaded to the system in batches according to file name fixed format requirements, the system automatically manages the certificates according to patent application numbers, and a patent batch updating module is arranged in an original intellectual property management system. The problem that current manual updating and maintenance consumes long time is solved.

The invention provides a patent risk assessment method and system, and belongs to the technical field of intellectual property management, and the method comprises the steps: determining important factors used for key technology patent risk assessment, and the important factors comprise a risk occurrence probability, risk severity and a risk severity weight coefficient; constructing a qualitative and quantitative relationship among the risk occurrence probability, the risk severity and the risk severity weight coefficient, and determining quantitative values of the risk occurrence probability, the risk severity and the risk severity weight coefficient; and constructing a patent risk evaluation model, calculating a risk coefficient based on the patent risk evaluation model and quantitative values of the risk occurrence probability, the risk severity and the risk severity weight coefficient, and evaluating the patent risk of the key technology through the risk coefficient. According to the invention, patent risk assessment of large-scale systems and small-scale parts in airplanes or large-scale equipment can be realized, patent risk assessment is objective and real, and the operation process and the assessment result are more accurate.

The invention relates to the technical field of intellectual property transaction management, and discloses an intellectual property transaction data processing system and method.The system comprises a multi-dimensional collection module and an intelligent management module, the multi-dimensional collection module obtains transaction management data of patents, trademarks and works and classifies the transaction management data to form a data set, and the intelligent management module sets a monitoring period and stores the monitoring period; according to the method, hot trends of patent transactions in different technical fields are analyzed, hot point indexes are generated, all subclass patents under different technical departments and different large classes have comparability, competitive situations of market shares of different industries are analyzed, competitive indexes are generated, all similar group trademarks under different Niss large classes have comparability, and all similar group trademarks under different Niss large classes have comparability. The system analyzes commercial values of different copyright works and generates premium indexes, so that different types of copyright works have comparability and high multi-dimensional monitoring sensitivity, the intelligent management module sets a fixed threshold value, outputs corresponding intellectual property management suggestions, helps market participants scientifically evaluate asset values, and has a good efficient operation management effect.

The invention provides a park intellectual property management system and method, a medium and equipment, and the system comprises an account management module which is used for importing enterprise information in a corresponding park through a park account, and adding a corresponding enterprise account according to an enterprise name; the data acquisition and report module is used for collecting intellectual property data of the enterprise added with the enterprise account from a network and forming an intellectual property data report according to a preset template; wherein the intellectual property data report comprises a plurality of data items except for enterprise names, and when modification of the content of one data item under a certain enterprise name is received, the data acquisition and report module analyzes the intention of the modification and judges whether the content of the data item under other enterprise names is subjected to unified modification or not. The intellectual property data is automatically collected from the network and the report is generated according to the preset template, so that the data collection and arrangement efficiency is improved, and the normalization of the data format is ensured.

The invention relates to the technical field of artificial intelligence, and discloses a one-stop service platform based on artificial intelligence and application thereof, which is a platform integrating intelligent naming, intelligent logo design, intelligent poster design, an intelligent matting technology and an intellectual property management system, applies deep learning, natural language processing and image recognition technologies, combines big data analysis, and provides an intellectual property management platform. And comprehensive brand creation and intellectual property management services are provided for small and medium-sized enterprises. According to the platform, functions of intelligent naming, design and the like are integrated, so that the brand creation and market response speed of small and medium-sized enterprises is remarkably improved; the automatic and intelligent service of the platform improves the market competitiveness of small and medium-sized enterprises, and reduces the threshold of professional technical support.

The application provides a blockchain and smart contract based intellectual property whole life cycle management platform, which improves the right protection efficiency of intellectual property management. First, the original data and ownership information of intellectual property are extracted to generate a digital fingerprint, and a cross-chain association index is generated, and a privacy verification voucher is generated; then, a state transition graph is preset and an evolvable smart contract is deployed, including a core logic layer and a strategy layer, the strategy layer accesses an external legal database and judicial case data through an oracle network, and optimizes right protection strategy parameters and fee payment thresholds; finally, off-chain infringement monitoring data is obtained, when the monitoring data triggers the right protection strategy parameters, a joint signature is generated, a right protection request is initiated and the progress is fed back on chain. Through the cooperation of heterogeneous cross-chain storage, evolvable smart contract and threshold signature automatic right protection mechanism, the credibility of intellectual property right protection, the adaptability of life cycle management and the automation degree and success rate of right protection are significantly improved.

The invention discloses an intellectual property management method based on a big data technology, and belongs to the technical field of patent early warning, and the method specifically comprises the steps: obtaining all patent data of an associated enterprise having the same industry chain node with a target enterprise in the technical field; calculating a difference value between the target enterprise and any associated enterprise according to the patent data, and determining a competitive enterprise according to the difference value; extracting reference patent data sets of the competitive enterprise in past time T, grouping the reference patent data sets to obtain a plurality of sub-data sets, and obtaining a theme corresponding to any sub-data set and a risk score of the theme; acquiring all patent data of the target enterprise in the sub-data set corresponding to the subject, calculating by combining the patent data to obtain a correction coefficient, and correcting the risk score of the subject according to the correction coefficient; and if the corrected risk score is greater than or equal to a preset risk score threshold, carrying out subject patent early warning on the target enterprise, and realizing effective analysis and early warning on the enterprise technology development direction.

The invention discloses a big data-driven intellectual property value dynamic evaluation and transaction matchmaking system, and relates to the fields of big data analysis, artificial intelligence, financial science and technology and intellectual property management. Aiming at the problems of high subjectivity, update lag, low transaction matching efficiency and the like of traditional intellectual property evaluation, the system integrates multi-source heterogeneous data acquisition and fusion functions, a dynamic value evaluation model is constructed based on an AI technology, and real-time value quantification is realized by integrating multi-dimensional factors; supply and demand parties are accurately matched through an intelligent matching algorithm, risk early warning, a credit evaluation mechanism and an automatic transaction management process are matched, and visual decision support is provided. Experiments show that the correlation between the system evaluation result and the market trading price is improved by more than 20%, the matching success rate is more than 70%, the period is shortened by 40%, and the risk early warning accuracy is significantly superior to that of a traditional method. The system can be widely applied to the fields of intellectual property operation, investment and financing, scientific and technological achievement transformation and the like, evaluation objectivity and transaction efficiency are effectively improved, and market resource allocation is optimized.

The invention discloses an enterprise patent application and approval process management method, system and device and a medium, and relates to the technical field of enterprise intellectual property management, and the method comprises the steps: obtaining a patent application document submitted by enterprise personnel, and intercepting a feature technology part in the patent application document through an OCR recognition technology; acquiring a technical keyword from the feature technology part by using a named entity recognition technology, and performing document retrieval processing on the patent application document according to the technical keyword; for the patent application document subjected to document retrieval processing, performing calculation by using a preset SHAP value interpretation model to obtain a decision contribution of the characteristics of the technical keywords in the patent application document; according to the decision contribution of each technical keyword in the patent application document, obtaining an approval result of the patent application document; the problems of low processing efficiency, low retrieval accuracy, high approval error rate and the like of current manual management are solved.

The present application relates to the field of computer information technology, in particular to a kind of based on scientific research project's intellectual property management system, comprising: project intellectual property management module, for constructing the patentable knowledge graph of scientific research project, obtains series technical disclosure material;High-value intellectual property cultivation module, for establishing multidimensional evaluation mechanism, obtains patent layout score;Technology disclosure management module, for forming technology disclosure library, carries out patentable search and re-optimization integration, forms a series of patent proposal;If the patent proposal formed is batch proposal, the batch proposal is re-input into high-value intellectual property cultivation module, obtains new patent layout score;According to new patent layout score, sorting analysis is carried out, and whether high-value patent cultivation target can be achieved is re-evaluated.By the system, from technical achievements to patent proposal can be realized automatic mining and systematized layout, and the value of patent layout is quantitatively evaluated by multidimensional evaluation mechanism.

NeuralClaim Al is an Al-powered system that autonomously identifies emerging technological gaps, generates novel inventions, evaluates patentability, and automates patent drafting. The system integrates Al-driven problem identification, generative design, prior art analysis, adaptive claim optimization, and blockchain-based licensing to streamline the intellectual property lifecycle. By enabling tiered licensing and Al-powered compliance enforcement, NeuralClaim Al democratizes innovation while ensuring enforceable IP protection. Field of the Invention: This invention relates to artificial intelligence, intellectual property management, and innovation commercialization. It specifically addresses an Al -driven system that continuously monitors global research, autonomously generates patentable inventions, assesses their novelty and feasibility, and facilitates ethical commercialization through structured licensing frameworks. Background of the Invention: Traditional patent systems are slow, costly, and inaccessible to independent inventors and startups. Patent hoarding, inefficient prior art searches, and limited technology access further hinder innovation. While Al has begun assisting patent drafting, it has yet to optimize the entire invention lifecycle. NeuralClaim Al introduces a comprehensive solution, automating real-time problem identification, Al-generated solution synthesis, prior art analysis, adaptive patent optimization, and ethical commercialization. By accelerating innovation, reducing barriers to IP protection, and ensuring equitable technology distribution, this system redefines how patents are created, evaluated, and commercialized.

The present disclosure relates to intellectual property (IP) management systems, and more particularly, to a scalable, multi-tenant platform for managing diverse IP assets with integrated artificial intelligence (AI), workflow automation, financial management, and interoperability with global IP databases and government systems. The intellectual property (IP) management computing system and method 100 disclosed herein brings together innovators, administrators, and IP agents to collaborate efficiently within one smart ecosystem. Each role is supported by customized dashboards, intelligent workflows, and AI-powered tools configured to optimize their specific tasks. Users move through the system from idea generation to filing, management, and IP protection, ensuring clarity and control at every stage. Real-time updates, shared access, task management, and communication tools, promote transparency, teamwork and faster execution. The computing system and method streamlines the entire innovation cycle capturing, nurturing, managing and safeguarding intellectual property.

1. The name of the design product: intellectual property management graphical user interface for electronic equipment. 2. The use of the design product: for an electronic device. 3. The design points of the design product: the graphical user interface content in the screen of the electronic device. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: the interface of the design product is used for the management and configuration display of intellectual property. 6. The human-computer interaction mode of the graphical user interface: the front view is the system main interface; clicking "data display" on the left side of the front view enters the interface change state diagram 1; clicking "unit" in the upper left corner of any graphical table can display the unit name in a drop-down manner, and enter the interface change state diagram 2.

The invention discloses an intelligent risk early warning system and method based on multi-dimensional information fusion. The intelligent risk early warning system comprises a name and obligee similarity calculation module, a trademark commodity service comparison module, an image feature extraction module, a multi-dimensional feature database and a comprehensive risk calculation module. According to the method, four core dimension data including trademark names, obligee information, commodity service classification and identification images are organically fused, and a collaborative strategy of text multi-dimension comparison, multi-channel representation, multi-agent rule matching and image multi-view feature extraction is adopted, so that the approximate risk level of the trademark is accurately judged; and key technical support is provided for trademark registration examination, infringement monitoring and intellectual property management.

The invention discloses an artificial intelligence intellectual property state tracking and early warning method and system, and the method comprises the steps: collecting and uniformly preprocessing legal provisions and historical state change logs of all judicial jurisdictions in the world, building a multi-source heterogeneous legal corpus, achieving the coding and alignment of legal semantics through combining with a multi-language pre-training model, and achieving the early warning of the state of the intellectual property. Constructing a comprehensive analysis mechanism of a cross-domain state transition and evolution trend by utilizing a graph neural network and a probability model; and performing dynamic semantic distance and evolution trend calculation on the target intellectual property state, and outputting a risk early warning signal after fusing the weight matrix to realize continuous optimization of the model, so that the cross-domain legal semantic comparability and the state change prediction accuracy are improved, and the intellectual property management intelligence and early warning capability are enhanced.

The invention relates to the technical field of computer information, in particular to an intellectual property management system based on a scientific research project, and the system comprises a project intellectual property management module which is used for constructing a patentable knowledge graph of the scientific research project and obtaining a series of technical disclosure data; the high-value intellectual property cultivation module is used for establishing a multi-dimensional evaluation mechanism and obtaining a patent layout score; the technical disclosure management module is used for forming a technical disclosure library, performing patent retrieval and re-optimization integration, and forming a series of patent proposals; if the formed patent proposal is a batch proposal, inputting the batch proposal into the high-value intellectual property cultivation module again to obtain a new patent layout score; and performing sorting analysis according to the new patent layout score, and re-evaluating whether a high-value patent cultivation target can be achieved or not. By means of the system, automatic mining and systematic layout from technical achievements to patent proposals can be achieved, and quantitative evaluation is conducted on the patent layout value through a multi-dimensional evaluation mechanism.