Project life cycle oriented intellectual property risk collaborative management and control method and system

Abstract

The application discloses a kind of project-oriented full life cycle intellectual property risk collaborative management method and system, it is related to project full life cycle management data processing technical field, the present application obtains the multi-source relevant data of each stage of target project full life cycle, constructs project intellectual property risk management and control benchmark database, completes data standardization processing and risk characteristic mapping, establishes the intellectual property risk grading management and control system covering project full stage, completes project full cycle risk identification, grade division and early warning by intellectual property risk intelligent identification model, issues risk disposal task to corresponding responsibility subject to realize multi-subject collaborative management, iteratively optimizes risk management and control strategy and outputs adapted management and control optimization scheme.The present application realizes project full life cycle intellectual property risk full coverage management and control, improves risk identification accuracy and multi-subject collaborative disposal efficiency, provides stable support for project intellectual property risk management and control.

Description

Technical Field

[0001] This invention relates to the field of data processing technology for project lifecycle management, and in particular to a collaborative management method and system for intellectual property risks throughout the project lifecycle. Background Technology

[0002] The entire project lifecycle encompasses multiple core stages, including project initiation, R&D design, procurement and supply, production and manufacturing, market promotion, and operation and maintenance iteration. Each stage involves the creation, utilization, protection, and management of intellectual property (IP). IP risk management directly impacts the project's compliant progress and the achievement of its results. Traditional IP risk management models primarily rely on manual offline review, periodic compliance checks, and post-event risk remedies. These management actions are disconnected from the project's business progress, failing to achieve comprehensive IP risk management across all stages of the project lifecycle. Common problems include incomplete IP risk assessment during project initiation, untimely protection of innovative IP achievements during R&D, inaccurate identification of supply chain IP risks during procurement, and inadequate infringement risk prevention during market promotion. Extensive repetitive manual review and document verification work consumes core management resources, and risk identification and handling are significantly delayed. Furthermore, these models cannot adapt to the dynamic changes in management needs brought about by adjustments in business scope, changes in R&D direction, and changes in the market environment during project progress. Meanwhile, the project involves multiple stakeholders, including project initiators, R&D implementers, procurement suppliers, manufacturers, and legal service providers. The division of intellectual property management responsibilities among these stakeholders is unclear, information sharing channels are not smooth, and there is a lack of a unified collaborative management mechanism. The management actions of each stakeholder are independent, making it impossible to form a joint management force. This can easily lead to blind spots in management and situations where responsibilities are shirked, making it difficult to achieve collaborative handling of intellectual property risks and closed-loop management throughout the entire process.

[0003] Existing methods for managing intellectual property risks in projects mostly focus on identifying single types of intellectual property risks and verifying compliance at single project stages. They lack a tiered management system covering the entire project lifecycle and cannot tailor management to the specific business characteristics and risk profiles of different project phases, resulting in insufficient targeting and adaptability. Furthermore, existing methods often employ fixed risk identification rules and management processes, failing to dynamically adapt to changes in project progress, internal and external environments, and policy and regulatory updates. When significant business adjustments or external environmental changes occur, risk identification dimensions and management requirements cannot be updated promptly, leading to potential omissions in risk identification and management failures.

[0004] Furthermore, existing methods lack a complete closed-loop risk management mechanism. Most can only identify and warn of risks, without establishing a multi-entity collaborative risk disposal process control mechanism. They also cannot achieve closed-loop verification of risk disposal effectiveness or continuous iterative optimization of control strategies. The entire process of risk management lacks tamper-proof evidence storage and full-chain traceability mechanisms. The compliance of the control process and the determination of responsibility lack credible data support, making it difficult to meet the requirements of modern project management for refined, collaborative, and full-process control of intellectual property risks. Summary of the Invention

[0005] The present invention proposes a collaborative management method and system for intellectual property risks throughout the entire project lifecycle, in order to solve the problems mentioned in the prior art.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: a collaborative management method for intellectual property risks throughout the entire project lifecycle, comprising the following steps: Acquire basic project data, intellectual property ownership and application data, industry policy and regulation data, market competitor intellectual property data, and upstream and downstream cooperation data of the target project at each stage of the entire life cycle; construct a benchmark database for project intellectual property risk management; and complete the standardized cleaning, structured transformation, and risk feature mapping of multi-source heterogeneous data. Based on the business process division of the entire project lifecycle, a full-stage intellectual property risk classification and control system is established, and the standardized configuration of risk identification dimensions, control nodes, execution standards, and collaborative responsibilities of participating entities at each stage is completed. Based on the project intellectual property risk management benchmark database and hierarchical management system, the project uses an intelligent intellectual property risk identification model to complete the real-time identification of intellectual property risks, risk level classification and core risk point positioning at each stage of the project's entire life cycle, and simultaneously generate risk warning information at the corresponding level. Based on the identified risk information, risk level, and the division of collaborative responsibilities among project participants, standardized risk handling tasks are issued to the corresponding responsible parties, and the progress and results of task handling are tracked in real time. Based on the execution results of risk disposal tasks, complete the closed-loop verification of the effectiveness of intellectual property risk management and disposal, and ensure the immutable storage of data throughout the entire process. Simultaneously update the data throughout the entire process to the project's intellectual property risk management benchmark database. Based on the full range of intellectual property risk management data throughout the project lifecycle, we complete the iterative optimization of risk management strategies, identification model parameters, and collaborative management processes, and output an optimized collaborative management solution for intellectual property risks.

[0007] Furthermore, it also includes a dynamic adaptation mechanism for risk management nodes throughout the entire project lifecycle. Based on the project's business progress, stage acceptance results, and data on changes in the internal and external environment, it completes the adjustment of management nodes at each stage, updates risk identification dimensions, and optimizes management processes. When the project experiences adjustments to its business scope, changes in R&D direction, changes in the market environment, or updates to policies and regulations, it automatically matches the corresponding stage's risk management system and updates risk identification rules and management requirements.

[0008] Furthermore, it also includes a multi-entity collaborative management and control hierarchical allocation mechanism. Based on the type, role, and business scope of the project participants, it divides the project into six collaborative management and control entity levels: project initiator, R&D executor, procurement supplier, manufacturing entity, marketing entity, and legal service provider. It assigns risk viewing, early warning reception, task execution, result reporting, and process approval permissions to entities at different levels, and establishes information sharing channels and collaborative interaction mechanisms among the entities.

[0009] Furthermore, the intelligent intellectual property risk identification model incorporates a multi-dimensional risk feature extraction submodule, a risk classification submodule, and a risk location submodule. It completes model pre-training based on historical risk case data, policy and regulatory data, and competitor intellectual property data from the project's intellectual property risk management benchmark database. The risk feature extraction submodule extracts and vectorizes risk features from business data at each stage of the project. The risk classification submodule classifies and identifies different types of intellectual property risks. The risk location submodule locates risk points within the project's business processes, responsible entities, and ownership boundaries.

[0010] Furthermore, the real-time identification, risk level classification, and core risk point positioning of intellectual property risks at each stage of the project's entire lifecycle specifically involves quantifying the risk value based on the identified risk point characteristics using a comprehensive intellectual property risk quantitative assessment model. The calculation formula is as follows: ; In the formula, This is a comprehensive quantitative value for the project's intellectual property risks. This represents the total number of phases throughout the project's entire lifecycle. For the first Risk weighting coefficients for each project phase For the first Total number of risk identification dimensions for each project phase For the first Phase 1 Weighting coefficients for each risk identification dimension. For the first Phase 1 The probability of risk occurrence in each dimension For the first Phase 1 Risk impact coefficients in each dimension For the first Phase 1 Risk diffusion coefficient in each dimension For the first Phase 1 The effectiveness of existing risk management measures across all dimensions.

[0011] Furthermore, the issuance of standardized risk management tasks to the corresponding responsible parties specifically involves matching standardized management processes and execution plans from a pre-set risk management plan library based on risk level and risk type; breaking down the management plan into multiple executable task nodes, matching each task node with a responsible party, execution requirements, and completion deadlines, establishing a multi-party task collaboration and interaction channel, collecting task execution progress, node completion status, and management process data in real time, and automatically sending reminder information to the responsible party and project management party when a task is delayed or the execution result fails to meet the standards, while simultaneously updating the task execution priority and management plan.

[0012] Furthermore, the iterative optimization of the risk management strategy, outputting an optimized collaborative management scheme for intellectual property risks adapted to different stages of the project, specifically involves dividing the full amount of risk management data throughout the project lifecycle into training and validation sets, constructing a management strategy optimization model, and completing the quantitative evaluation of the management strategy through a comprehensive evaluation model of management effectiveness. The calculation formula is as follows: ; In the formula, The overall effectiveness of intellectual property risk management strategies is scored. The total number of statistical periods for evaluating control strategies. For the first Weighting coefficients for each statistical period , , , The weighting coefficients are for four evaluation dimensions: risk identification accuracy, response timeliness, risk elimination rate, and management cost input. For the first Actual accuracy rate of risk identification within a statistical period For the first Benchmark value of risk identification accuracy within a statistical period For the first Standard response time for risk management within a statistical period For the first The actual average response time for risk management within a statistical period For the first The total number of risks eliminated within a statistical period For the first The total number of risks identified within a statistical period For the first Benchmark cost for risk management within a statistical period For the first Actual cost of risk management within a statistical period.

[0013] Furthermore, a collaborative management system for intellectual property risks throughout the entire project lifecycle includes the following units: Project lifecycle data management unit; An intellectual property risk classification and control configuration unit that has bidirectional communication with the project's full-cycle data management unit; An intelligent intellectual property risk identification and early warning unit that communicates bidirectionally with the project lifecycle data management unit and the risk classification and control configuration unit; A multi-entity collaborative handling and control unit that is bidirectionally connected to the risk intelligent identification and early warning unit; A control effect closed-loop verification and data storage unit that is bidirectionally connected to each unit within the system; A control strategy iterative optimization unit that communicates bidirectionally with various units within the system; The project lifecycle data management unit is used for the collection, cleaning, storage, and management of multi-source heterogeneous data throughout the project lifecycle, and to build and update the project intellectual property risk management benchmark database in real time; the risk classification and management configuration unit is used for the standardized configuration of risk management systems, management nodes, and collaborative responsibilities at each stage of the project; the risk intelligent identification and early warning unit is used for the real-time identification, classification, and early warning information generation of intellectual property risks throughout the project lifecycle; the multi-entity collaborative handling and management unit is used for the issuance of risk handling tasks, multi-entity collaborative execution, and full-process tracking; the management effect closed-loop verification and data storage unit is used for the management effect closed-loop verification and full-process data storage; and the management strategy iterative optimization unit is used for the quantitative evaluation and iterative optimization of management strategies, and outputs adapted management optimization solutions.

[0014] Furthermore, the multi-entity collaborative handling and control unit incorporates a task decomposition module, a multi-entity collaborative interaction module, a task progress tracking module, and a handling effect verification module. The task decomposition module completes the standardized decomposition of task nodes and the matching of responsible entities based on the risk handling plan. The multi-entity collaborative interaction module establishes an encrypted information sharing channel and collaborative approval process among the responsible entities. The task progress tracking module collects task execution data in real time and completes the progress visualization display. The handling effect verification module completes the automated verification of handling results based on preset execution standards. The verification results are synchronously fed back to the control effect closed-loop verification and data storage unit.

[0015] Furthermore, the closed-loop verification and data storage unit for the control effect is built on a consortium blockchain architecture and includes a data on-chain module, a block storage module, and a data traceability module. The data on-chain module hashes and encrypts the data of the entire process of project intellectual property risk control before storing it on the blockchain. The block storage module completes the chain-distributed storage of the on-chain data. The data traceability module completes the link traceability and data verification of the entire risk control process based on the block storage data.

[0016] Compared with existing technologies, the beneficial effects of this invention are: This invention, through the construction of an intellectual property risk management system covering the entire project lifecycle, enables comprehensive management of intellectual property risks at all stages of project initiation, R&D design, procurement and supply, production and manufacturing, market promotion, and operation and maintenance iteration. It deeply integrates risk management actions with the project business process, solves the problem of disconnect between management and business in traditional management models, and improves the comprehensiveness and timeliness of intellectual property risk management.

[0017] This invention, through an intelligent intellectual property risk identification model and a risk quantification assessment system, can accurately identify, classify, and locate core risk points of intellectual property risks at all stages of the project's lifecycle, providing precise and targeted basis for subsequent risk management. At the same time, through the construction of a hierarchical management and control system, it can set differentiated management and control nodes and execution standards according to the business characteristics and risk features of different stages of the project, thereby improving the pertinence and adaptability of risk management.

[0018] This invention, through a multi-entity collaborative management and control hierarchical allocation mechanism, clarifies the management and control responsibilities and operational authority of each participating entity in the project, establishes information sharing channels and collaborative interaction mechanisms among the entities, realizes cross-entity and cross-departmental collaborative handling of intellectual property risks, solves the problem of independent management actions and insufficient synergy among entities in the traditional management and control model, eliminates management blind spots, and improves the synergy and execution efficiency of risk handling.

[0019] This invention, through a risk management and control mechanism covering the entire process and a closed-loop verification mechanism for management and control effectiveness, enables the standardized breakdown of intellectual property risk management tasks, full-process tracking, and verification of execution effects. This forms a closed-loop management and control system covering risk identification, early warning, management, and verification. Furthermore, through the immutable and verifiable storage of data throughout the entire process, the invention achieves traceability of the entire intellectual property risk management process, providing reliable data support for compliance verification and liability determination in the management and control process.

[0020] This invention, through the accumulation of full-scale data in project lifecycle management and the iterative optimization mechanism of management strategies, enables continuous iterative optimization of risk management strategies, identification model parameters, and collaborative management processes. This allows the management system to dynamically adapt to changes in management needs brought about by project business adjustments, changes in the internal and external environment, and updates in policies and regulations, thereby enhancing the dynamic adaptability of the management system and providing continuous technical support for intellectual property risk management throughout the entire project lifecycle. Attached Figure Description

[0021] Figure 1 A flowchart outlining the overall process of collaborative management and control of intellectual property risks; Figure 2 A diagram illustrating the dynamic adaptation mechanism between control nodes and identification dimensions; Figure 3 A diagram illustrating the collaborative responsibilities and interactive management architecture of multiple stakeholders; Figure 4 A flowchart for intelligent risk identification, classification, and quantitative grading; Figure 5 Flowchart for handling closed-loop verification and strategy iteration optimization. Detailed Implementation

[0022] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0023] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," and "counterclockwise," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0024] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include one or more of the stated features. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified. Furthermore, the terms "installed," "connected," and "linked" should be interpreted broadly; for example, they may refer to a fixed connection, a detachable connection, or an integral connection; they may refer to a mechanical connection or an electrical connection; they may refer to a direct connection or an indirect connection through an intermediate medium; and they may refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances. The invention will now be described in further detail with reference to the accompanying drawings.

[0025] Reference Figures 1 to 5 A collaborative management method for intellectual property risks throughout the entire project lifecycle includes the following steps: Acquire basic project data, intellectual property ownership and application data, industry policy and regulation data, market competitor intellectual property data, and upstream and downstream cooperation data of the target project at each stage of the entire life cycle; construct a benchmark database for project intellectual property risk management; and complete the standardized cleaning, structured transformation, and risk feature mapping of multi-source heterogeneous data. Based on the business process division of the entire project lifecycle, establish an intellectual property risk classification and control system covering the entire stages of project initiation, R&D design, procurement and supply, production and manufacturing, market promotion, and operation and maintenance iteration, and complete the standardized configuration of risk identification dimensions, control nodes, execution standards, and collaborative responsibilities of participating entities at each stage; Based on the benchmark database and hierarchical management system for project intellectual property risk control, the intelligent identification model for intellectual property risk is used to complete the real-time identification of intellectual property risks at each stage of the project's entire life cycle, accurately classify risk levels and locate core risk points, and simultaneously generate risk warning information at the corresponding level. Based on the identified risk information, risk level, and the division of collaborative responsibilities among project participants, standardized risk disposal tasks are issued to the corresponding responsible parties to achieve full-process control of collaborative disposal by multiple parties and to simultaneously track the progress and results of task disposal in real time. Based on the execution results of risk disposal tasks, complete the closed-loop verification of the effectiveness of intellectual property risk management and disposal, and ensure the immutable storage of data throughout the entire process. Simultaneously update the data throughout the entire process to the project's intellectual property risk management benchmark database. Based on the full range of intellectual property risk management data throughout the entire project lifecycle, we complete the iterative optimization of risk management strategies, identification model parameters, and collaborative management processes, and output optimized solutions for collaborative management of intellectual property risks that are adapted to different stages and business scenarios of the project.

[0026] This invention also includes a dynamic adaptation mechanism for risk management nodes throughout the entire project lifecycle. Based on the project's business progress, stage acceptance results, and data on changes in the internal and external environment, it dynamically adjusts the management nodes at each stage of the project, updates risk identification dimensions in real time, and adaptively optimizes the management process. When the project experiences adjustments to its business scope, changes in R&D direction, changes in the market environment, or updates to policies and regulations, it automatically matches the risk management system for the corresponding stage, updates risk identification rules and management requirements, and achieves dynamic adaptation of intellectual property risk management throughout the entire project lifecycle.

[0027] This invention also includes a multi-entity collaborative management and control hierarchical configuration mechanism. Based on the type, role, and business scope of the project participants, it divides the project into six collaborative management and control entity levels: project initiator, R&D executor, procurement supplier, manufacturing entity, marketing entity, and legal service provider. It configures corresponding operational permissions for risk viewing, early warning reception, task execution, result reporting, and process approval for different levels of entities, establishes information sharing channels and collaborative interaction mechanisms among the entities, and realizes cross-entity and cross-departmental collaborative management and control of intellectual property risks.

[0028] In this invention, the intelligent intellectual property risk identification model incorporates a multi-dimensional risk feature extraction submodule, a risk classification submodule, and a risk location submodule. It pre-trains the model based on historical risk case data, policy and regulatory data, and competitor intellectual property data from the project's intellectual property risk management benchmark database. The risk feature extraction submodule extracts and vectorizes risk features from business data at each stage of the project. The risk classification submodule identifies and classifies different types of intellectual property risks. The risk location submodule accurately locates risk points within the project's business processes, responsible parties, and ownership boundaries, providing precise targeting for subsequent risk management.

[0029] In this invention, the real-time identification of intellectual property risks, accurate risk level classification, and core risk point location at each stage of the project's entire lifecycle are achieved specifically by using a comprehensive intellectual property risk quantitative assessment model to quantify risk values ​​based on the identified risk point characteristics, and then accurately classifying risk levels based on these risk values. The calculation formula is as follows: ; In the formula, This is a comprehensive quantitative value for the project's intellectual property risk, with a dimension of 1. The higher the value, the higher the overall level of intellectual property risk for the project. This represents the total number of phases throughout the project's entire lifecycle, with a dimension of 1. For the first The risk weighting coefficient for each project phase, with a dimension of 1, is determined by the degree of intellectual property impact corresponding to that phase of the project, and all... The sum is 1. For the first The total number of risk identification dimensions for each project phase, with a dimension of 1. For the first Phase 1 The weight coefficients for each risk identification dimension, with a dimension of 1, are determined by the scope of impact of the corresponding intellectual property risk, and are applied to all risks within the same stage. The sum is 1. For the first Phase 1 The probability of risk occurrence in each dimension is represented by a unit of 1 and ranges from 0 to 1. For the first Phase 1 Risk impact coefficients for each dimension, with a dimension of 1 and a value range from 0 to 1. For the first Phase 1 The risk diffusion coefficient is a dimensionless coefficient with a value ranging from 0 to 1. For the first Phase 1 The effectiveness of existing risk management measures in each dimension is measured with a dimension of 1 and a value range of 0 to 1. Through multi-level weight allocation of project stages and risk dimensions and joint quantitative calculation of multiple influencing factors, the accuracy of intellectual property risk quantification and classification is achieved, providing a quantitative decision-making basis for setting risk warning thresholds and prioritizing disposal.

[0030] In this invention, the issuance of standardized risk management tasks to the corresponding responsible parties enables collaborative risk management across multiple parties, with real-time tracking of task progress and execution results. Specifically, based on risk level and type, standardized management processes and execution plans are matched from a pre-set risk management plan library. The management plan is broken down into multiple executable task nodes, with each node matched with a corresponding responsible party, execution requirements, and completion deadline. A collaborative interaction channel is established between multiple parties, and task execution progress, node completion status, and management process data are collected in real time. When task execution is delayed or the execution result fails to meet the standards, reminder information is automatically sent to the corresponding responsible party and project management party, and the task execution priority and management plan are updated synchronously, achieving closed-loop management of the entire intellectual property risk management process.

[0031] In this invention, the iterative optimization of risk management strategies and the output of optimized collaborative management schemes for intellectual property risks adapted to different stages of the project specifically involve dividing the full amount of risk management data throughout the project lifecycle into training and validation sets, constructing a management strategy optimization model, and using risk identification accuracy, response timeliness, risk elimination rate, and management cost input as optimization objectives. A comprehensive evaluation model of management effectiveness is used to quantitatively assess the management strategy, with the calculation formula as follows: ; In the formula, The overall effectiveness score for intellectual property risk management strategies is given, with a dimension of 1. The higher the score, the better the overall implementation effect of the management strategy. The total number of statistical periods used to evaluate control strategies is represented by a unit of 1. For the first The weighting coefficient for each statistical period, with a dimension of 1, is determined by the importance of the project's stage within that period, and all... The sum is 1. , , , These are the weighting coefficients for four evaluation dimensions: risk identification accuracy, response timeliness, risk elimination rate, and control cost input. Each coefficient has a dimension of 1, and all... The sum of the coefficients is 1. For the first The actual accuracy rate of risk identification within a statistical period, with a dimension of 1. For the first The baseline value for risk identification accuracy within a statistical period, with a dimension of 1. For the first The standard response time for risk management within a statistical period, measured in days. For the first The actual average response time for risk management within a statistical period, measured in days. For the first The total number of risks eliminated within a statistical period, with a dimension of 1. For the first The total number of risks identified within a statistical period, with a dimension of 1. For the first The benchmark cost for risk management within a statistical period, measured in yuan. For the first The actual cost of risk management within a statistical period is measured in yuan. Through the joint quantitative calculation of multi-dimensional evaluation indicators, a comprehensive quantitative assessment of the effectiveness of management strategy implementation is achieved. This provides quantitative support for the iterative optimization of management strategies, identification model parameters, and collaborative management processes, and outputs the optimal management solution that is suitable for different stages and business scenarios of the project.

[0032] This invention includes the following units: Project lifecycle data management unit; An intellectual property risk classification and control configuration unit that has bidirectional communication with the project's full-cycle data management unit; An intelligent intellectual property risk identification and early warning unit that communicates bidirectionally with the project lifecycle data management unit and the risk classification and control configuration unit; A multi-entity collaborative handling and control unit that is bidirectionally connected to the risk intelligent identification and early warning unit; A control effect closed-loop verification and data storage unit that is bidirectionally connected to each unit within the system; A control strategy iterative optimization unit that communicates bidirectionally with various units within the system; The project full-cycle data management unit completes the collection, cleaning, storage, and management of multi-source heterogeneous data throughout the project's entire lifecycle, constructs and updates the project's intellectual property risk management benchmark database in real time, and provides data support for the system's full-process operation. The risk classification and management configuration unit completes the standardized configuration of risk management systems, management nodes, and collaborative responsibilities at each stage of the project's entire lifecycle. The risk intelligent identification and early warning unit completes the real-time identification, classification, and early warning information generation of intellectual property risks throughout the project's entire lifecycle. The multi-entity collaborative handling and management unit completes the issuance of risk handling tasks, multi-entity collaborative execution, and full-process tracking. The management effect closed-loop verification and data storage unit completes the closed-loop verification of management effects and the tamper-proof storage of full-process data. The management strategy iterative optimization unit completes the quantitative evaluation and iterative optimization of management strategies and outputs an adapted management optimization scheme.

[0033] In this invention, the multi-entity collaborative handling and control unit incorporates a task decomposition module, a multi-entity collaborative interaction module, a task progress tracking module, and a handling effect verification module. The task decomposition module completes the standardized decomposition of task nodes and the matching of responsible entities based on the risk handling plan. The multi-entity collaborative interaction module establishes an encrypted information sharing channel and collaborative approval process among the responsible entities. The task progress tracking module collects task execution data in real time and completes the progress visualization display. The handling effect verification module completes the automated verification of handling results based on preset execution standards. The verification results are synchronously fed back to the control effect closed-loop verification and data storage unit, realizing full-process and full-node control of risk handling tasks.

[0034] In this invention, the closed-loop verification and data storage unit for control effectiveness is built on a consortium blockchain architecture and includes a data on-chain module, a block storage module, and a data traceability module. The data on-chain module hashes and encrypts risk identification data, early warning information, task execution data, control effectiveness verification data, and strategy optimization data from the entire process of project intellectual property risk control before storing them on the blockchain. The block storage module completes the chain-distributed storage of the on-chain data. The data traceability module completes the link traceability and data verification of the entire risk control process based on the block storage data, ensuring the immutability and traceability of the control process data and providing reliable data support for the determination of responsibility and compliance verification in intellectual property risk control.

[0035] The following two examples further illustrate specific embodiments of the present invention: Example 1: Implementation Method for Collaborative Management of Intellectual Property Risks Throughout the Lifecycle of Large-Scale High-End Equipment Manufacturing Projects This embodiment applies to a large-scale tunnel boring machine (TBM) R&D and industrialization project. The project has a 5-year lifecycle, covering six core stages: project initiation, R&D design, procurement and supply, production and manufacturing, market promotion, and operation and maintenance iteration. The project participants include six collaborative management entities: the equipment manufacturing group that initiated the project, the mechanical design institute that carried out the R&D, the core component suppliers that procured the procurement and supply, the complete machine production base that manufactured the machine, the domestic and overseas marketing teams that promoted the machine, and the intellectual property professional agency that provided legal services. The core innovation points of the project involve multiple technical directions such as the overall machine structure design, hydraulic control system, and cutterhead drive system, and there are multiple types of intellectual property risk management needs. During the project's progress, there are dynamic changes in intellectual property management needs due to adjustments in R&D direction, changes in the supply chain, and expansion into overseas markets.

[0036] First, we acquire basic project data, intellectual property ownership and application data, industry policy and regulatory data, market competitor intellectual property data, and upstream and downstream industry chain cooperation data for each stage of the project's entire lifecycle. Specifically, this includes project feasibility study reports, R&D technical solutions, patent applications and authorization documents, patent layout data of domestic and foreign tunnel boring machine industry competitors, supply chain procurement contracts, industry technical standards and intellectual property-related laws and regulations, and intellectual property protection rules of overseas target markets. We then construct a benchmark database for project intellectual property risk management, complete the standardization, structuring transformation, and risk feature mapping of multi-source heterogeneous data, extract and vectorize unstructured technical solutions, contract texts, and patent documents, and unify the format and align the spatiotemporal dimensions of policy and regulatory data and competitor data from different sources, providing comprehensive data support for subsequent full-process risk management.

[0037] Based on the business process division throughout the project lifecycle, a graded management system for intellectual property risks covering six full stages is established, completing the standardized configuration of risk identification dimensions, control nodes, execution standards, and collaborative responsibilities of participating entities for each stage. The project initiation stage has two core control nodes: patent infringement risk screening and patentability assessment of innovative points. Identification dimensions include existing technological barriers, competitor patent layout, and infringement risks of technical solutions. The R&D and design stage has three core control nodes: patentability verification of technical solutions, confidentiality management of R&D results, and ownership agreement of collaborative results. Identification dimensions include novelty of technical solutions, ownership boundaries of collaborative R&D, and trade secret protection measures. The procurement and supply stage has two core control nodes: supplier intellectual property compliance review and verification of intellectual property clauses in procurement contracts. Identification dimensions include supplier product infringement risks and ownership and infringement liability agreements in procurement contracts. The production and manufacturing stage has two core control nodes: intellectual property protection of production processes and ownership management of outsourced processing. The market promotion stage has two core control nodes: trademark and brand protection and patent infringement risk screening in overseas markets. The operation and maintenance iteration stage has two core control nodes: intellectual property protection of technological iteration results and compliance verification of open-source software. Simultaneously, a multi-entity collaborative management and control hierarchical allocation mechanism is adopted to configure corresponding operating permissions for six collaborative management and control entities. The project initiator has full-process management and approval authority, the R&D executor is responsible for risk identification and handling during the R&D phase, the procurement and supply party is responsible for supply chain intellectual property risk investigation and control, the manufacturing party is responsible for intellectual property compliance management during the production phase, the marketing party is responsible for market-side infringement risk prevention and control, and the legal service party is responsible for risk compliance verification and legal review of handling plans. An encrypted information sharing channel and collaborative approval process are established among the entities.

[0038] Based on the project's intellectual property risk management benchmark database and hierarchical management system, an intelligent intellectual property risk identification model is used to achieve real-time identification of intellectual property risks, accurate risk level classification, and core risk point location at each stage of the project's entire lifecycle. The intelligent intellectual property risk identification model is pre-trained based on historical risk cases, policies and regulations, and competitor patent data in the equipment manufacturing field. It incorporates multi-dimensional risk feature extraction, risk classification, and risk location sub-modules. The risk feature extraction sub-module extracts and vectorizes risk features from business data at each stage of the project. The risk classification sub-module classifies and identifies different types of intellectual property risks, such as patents, trademarks, copyrights, and trade secrets. The risk location sub-module accurately locates risk points within the project's business processes, responsible entities, and ownership boundaries, simultaneously generating corresponding level risk warning information. Based on the identified risk information, risk level, and the division of collaborative responsibilities among project participants, standardized risk management tasks are issued to the corresponding responsible parties. Standardized management processes and execution plans are matched from a pre-set risk management plan library. The management plan is broken down into multiple executable task nodes, and each task node is matched with a corresponding responsible party, execution requirements, and completion deadline. A task collaboration and interaction channel is established between multiple parties, and task execution progress, node completion status, and management process data are collected in real time. When task execution is delayed or the execution result fails to meet the standards, reminder information is automatically sent to the corresponding responsible party and project management party, and the task execution priority and management plan are updated synchronously, realizing closed-loop management of the entire process of intellectual property risk management.

[0039] Based on the execution results of risk disposal tasks, a closed-loop verification of the effectiveness of intellectual property risk management and the immutable notarization of the entire process data are completed, and the entire process data is simultaneously updated to the project's intellectual property risk management benchmark database. Based on the full amount of intellectual property risk management data throughout the project's entire lifecycle, iterative optimization of risk management strategies, identification model parameters, and collaborative management processes is completed, outputting optimized intellectual property risk collaborative management solutions adapted to different stages and business scenarios of the project. Simultaneously, through a dynamic adaptation mechanism for risk management nodes throughout the project's entire lifecycle, based on the project's business progress, stage acceptance results, and changes in internal and external environment data, dynamic adjustments to management nodes at each stage of the project are completed, real-time updates of risk identification dimensions are performed, and adaptive optimization of management processes is achieved. When the project experiences adjustments to business scope, changes in R&D direction, changes in market environment, or updates to policies and regulations, the corresponding risk management system is automatically matched, and risk identification rules and management requirements are updated, achieving dynamic adaptation of intellectual property risk management throughout the project's entire lifecycle.

[0040] Table 1: Effectiveness of Collaborative Management of Intellectual Property Risks in High-End Equipment Manufacturing Projects

[0041] Table 1 provides a comprehensive overview of the actual control effectiveness and operational performance of this method in large-scale high-end equipment manufacturing projects. The full-stage risk control coverage demonstrates the method's comprehensive control capability over intellectual property risks throughout the project's entire lifecycle, resolving the disconnect between control and business operations in traditional management models. The accuracy rate of intellectual property risk identification reflects the precision and reliability of the intelligent risk identification model; the average response time of multi-entity collaborative handling reflects the execution efficiency of the multi-entity collaborative management mechanism; the closed-loop completion rate of risk handling tasks reflects the implementation effect of the full-process closed-loop management mechanism; and the data on-chain evidence storage rate and policy adaptation response time demonstrate the method's compliance support and dynamic adaptability, enabling it to meet the intellectual property risk control needs of large, complex projects with multiple stakeholders, long cycles, and multiple scenarios.

[0042] Example 2: Implementation Method for Collaborative Management of Intellectual Property Risks Throughout the Lifecycle of Innovative Biomedical R&D Projects This embodiment applies to a Class I innovative drug R&D and industrialization project with a total lifecycle of 8 years, covering six core stages: project initiation, R&D design, procurement and supply, manufacturing, marketing, and operation and maintenance iteration. It corresponds to the entire business process of drug target discovery and initiation, preclinical research, clinical trial material procurement, drug manufacturing process development, drug launch and marketing, and post-marketing monitoring and indication expansion. The project involves six collaborative management entities: the pharmaceutical company initiating the project, the drug research institute executing the R&D, the API and laboratory consumable suppliers, the CMO manufacturing company, the CRO executing the clinical trials, and a pharmaceutical intellectual property professional agency providing legal services. The core innovations of the project involve multiple technical directions, including drug compounds, crystal forms, preparation processes, and pharmaceutical applications, presenting various intellectual property risk management needs, such as patents, drug data protection, and trade secrets. During the project's progress, there are dynamic changes in intellectual property management needs due to adjustments in clinical trial results, changes in indications, and updates in regulatory policies.

[0043] First, we acquire basic project data, intellectual property ownership and application data, pharmaceutical industry regulatory policies and intellectual property laws data, global competitor drug patent layout data, and clinical trial and supply chain cooperation data for each stage of the project's entire lifecycle. Specifically, this includes project initiation reports, compound patent applications and authorization documents, crystal form and preparation process patent literature, global competitor drug patent layout data for the same target, clinical trial protocols, API procurement contracts, drug regulatory laws and regulations, and drug intellectual property protection rules of the target marketing country. We then construct a benchmark database for project intellectual property risk management, complete the standardization, structuring transformation, and risk feature mapping of multi-source heterogeneous data, extract and vectorize unstructured clinical trial data, patent literature, and technical solutions, and standardize the format and align the compliance dimensions of pharmaceutical regulatory policies and intellectual property laws and regulations in different countries and regions, providing comprehensive data support for subsequent full-process risk management.

[0044] Based on the business process division throughout the project lifecycle, a graded management system for intellectual property risks covering six stages is established, completing the standardized configuration of risk identification dimensions, control nodes, execution standards, and collaborative responsibilities of participating entities for each stage. The project initiation stage has two core control nodes: target patent free implementation risk screening and compound innovation patentability assessment. Identification dimensions include existing patent barriers, competitor technology layout, and technical solution infringement risks. The R&D design stage has three core control nodes: compound crystal form and preparation process patentability verification, R&D result confidentiality management, and collaborative R&D ownership agreement. Identification dimensions include technical solution novelty, collaborative R&D result ownership boundaries, and experimental data trade secret protection. The procurement and supply stage has two core control nodes: API supplier intellectual property compliance review and procurement contract intellectual property clause verification. Identification dimensions include supplier product patent infringement risks and procurement contract infringement liability and ownership agreement. The manufacturing stage has two core control nodes: production process intellectual property protection and process technology secret confidentiality management. The market promotion stage has two core control nodes: drug brand name trademark protection and target market patent infringement risk screening. The operation and maintenance iteration stage has two core control nodes: indication expansion technology achievement intellectual property protection and drug instruction manual copyright protection. Simultaneously, a multi-entity collaborative management and control hierarchical allocation mechanism is adopted, which assigns corresponding operational permissions to six collaborative management and control entities at different levels. The project initiator has full-process management and approval authority, the R&D executor is responsible for risk identification and handling during the drug development stage, the procurement and supply party is responsible for supply chain intellectual property risk investigation and control, the manufacturing party is responsible for intellectual property compliance management during the production process stage, the clinical trial executor is responsible for the confidentiality of clinical trial data and the management of the ownership of results, and the legal service provider is responsible for risk compliance verification and legal review of the handling plan. An encrypted information sharing channel and collaborative approval process are established among the entities.

[0045] Based on the project's intellectual property risk management benchmark database and hierarchical management system, an intelligent intellectual property risk identification model is used to achieve real-time identification of intellectual property risks, accurate risk level classification, and core risk point location at each stage of the project's entire lifecycle. The intelligent intellectual property risk identification model is pre-trained based on historical intellectual property risk cases in the pharmaceutical field, drug regulatory policies, and global competitor patent data. It incorporates multi-dimensional risk feature extraction, risk classification, and risk location sub-modules. The risk feature extraction sub-module extracts and vectorizes risk features from business data at each stage of the project. The risk classification sub-module classifies and identifies different types of intellectual property risks, such as patents, drug data protection, and trade secrets. The risk location sub-module accurately locates risk points within project business processes, responsible entities, and ownership boundaries, simultaneously generating corresponding level risk warning information. Based on the identified risk information, risk level, and the division of collaborative responsibilities among project participants, standardized risk management tasks are issued to the corresponding responsible parties. Standardized management processes and execution plans are matched from a pre-set risk management plan library. The management plan is broken down into multiple executable task nodes, and each task node is matched with a corresponding responsible party, execution requirements, and completion deadline. A task collaboration and interaction channel is established between multiple parties, and task execution progress, node completion status, and management process data are collected in real time. When task execution is delayed or the execution result fails to meet the standards, reminder information is automatically sent to the corresponding responsible party and project management party, and the task execution priority and management plan are updated synchronously, realizing closed-loop management of the entire process of intellectual property risk management.

[0046] Based on the execution results of risk management tasks, a closed-loop verification of the effectiveness of intellectual property risk control is completed, and the data of the entire process is stored immutably. Simultaneously, the entire process data is updated to the project's intellectual property risk control benchmark database. Based on the full volume of intellectual property risk control data throughout the project's entire lifecycle, iterative optimization of risk control strategies, identification model parameters, and collaborative control processes is achieved, outputting optimized collaborative control solutions for intellectual property risks adapted to different project stages and business scenarios. Simultaneously, through a dynamic adaptation mechanism for risk control nodes throughout the project's entire lifecycle, based on the project's business progress, stage acceptance results, and changes in internal and external environments, dynamic adjustments to control nodes at each stage of the project are completed, along with real-time updates to risk identification dimensions and adaptive optimization of control processes. When the project experiences adjustments to clinical trial results, changes in the scope of indications, or updates to drug regulatory policies and intellectual property regulations, the corresponding risk control system is automatically matched, and risk identification rules and control requirements are updated, achieving dynamic adaptation of intellectual property risk control throughout the project's entire lifecycle.

[0047] Table 2: Effectiveness of Collaborative Management of Intellectual Property Risks in Biomedical R&D Projects

[0048] Table 2 comprehensively reflects the actual control effectiveness and industry adaptability of this method in innovative biopharmaceutical R&D project scenarios. The full-stage risk control coverage demonstrates the method's comprehensive control capability over the entire process of long-cycle pharmaceutical R&D projects, resolving the disconnect between control and R&D processes in traditional control models. The accuracy rate of intellectual property risk identification reflects the professionalism and precision of the customized risk identification model in the pharmaceutical field; the average response time of multi-entity collaborative handling reflects the operational efficiency of the cross-institutional collaborative control mechanism; the closed-loop completion rate of risk handling tasks reflects the effectiveness of the full-process closed-loop control mechanism; and the data on-chain evidence preservation rate and policy adaptation response time demonstrate the method's adaptability to the pharmaceutical industry's stringent regulatory and compliance requirements, meeting the intellectual property risk control needs of long-cycle, highly compliant, and multi-entity collaborative biopharmaceutical R&D projects.

[0049] Reference Figure 1 This diagram illustrates the core logic of the method of this invention. The process begins with the collection and standardization of multi-source heterogeneous data to build a risk benchmark database. Subsequently, business is divided according to the six stages of the project's entire lifecycle. A smart identification model is used for real-time risk location and level classification, and disposal tasks are accurately distributed to each collaborating entity. Finally, blockchain notarization ensures data authenticity, and the control strategy is iteratively optimized based on the execution results.

[0050] Reference Figure 2 This diagram illustrates the dynamic adjustment logic of risk management nodes throughout the project's entire lifecycle. The system monitors project progress, acceptance results, and changes in the external environment in real time. Once a trigger condition is detected, the adaptation engine automatically adjusts the management nodes and risk identification rules to ensure that the management system remains synchronized with the actual business scenarios of the project, achieving precise and dynamic protection against intellectual property risks.

[0051] Reference Figure 3 This diagram illustrates the permission allocation and information exchange mechanism for multi-entity collaborative management. The system divides participating entities into six levels: initiator, R&D, procurement, manufacturing, promotion, and legal services. Through a hierarchical permission configuration mechanism, different roles have corresponding permissions for receiving alerts, executing tasks, or approving them. Information sharing and collaboration among entities are achieved through encrypted channels, breaking down departmental barriers and ensuring the efficient flow of risk management tasks across multiple entities.

[0052] Reference Figure 4This diagram details the working mechanism of the risk identification model. The system extracts and quantifies business characteristics, identifying different types of risks in parallel, such as patents, trademarks, copyrights, and trade secrets. Next, using a quantitative assessment model, it comprehensively considers the probability of risk occurrence, the degree of impact, the diffusion coefficient, and the effectiveness of existing measures to calculate a comprehensive risk value. Finally, based on the quantitative score, the risk level is accurately classified, and core risk points are targeted.

[0053] Reference Figure 5 This diagram highlights the closed-loop management and data value mining following risk mitigation. After the mitigation task is completed, the system evaluates performance based on indicators such as identification accuracy and response time. Evaluation data and data from the entire execution process are stored on the blockchain to ensure traceability. Simultaneously, the system optimizes its model by learning from all historical data, continuously refining identification parameters and control strategies, ultimately outputting the optimal control optimization solution for different business scenarios.

[0054] The above are merely preferred embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A collaborative management method for intellectual property risks throughout the entire project lifecycle, characterized in that, Includes the following steps: Acquire basic project data, intellectual property ownership and application data, industry policy and regulation data, market competitor intellectual property data, and upstream and downstream cooperation data of the target project at each stage of the entire life cycle; construct a benchmark database for project intellectual property risk management; and complete the standardized cleaning, structured transformation, and risk feature mapping of multi-source heterogeneous data. Based on the business process division of the entire project lifecycle, a full-stage intellectual property risk classification and control system is established, and the standardized configuration of risk identification dimensions, control nodes, execution standards, and collaborative responsibilities of participating entities at each stage is completed. Based on the project intellectual property risk management benchmark database and hierarchical management system, the project uses an intelligent intellectual property risk identification model to complete the real-time identification of intellectual property risks, risk level classification and core risk point positioning at each stage of the project's entire life cycle, and simultaneously generate risk warning information at the corresponding level. Based on the identified risk information, risk level, and the division of collaborative responsibilities among project participants, standardized risk handling tasks are issued to the corresponding responsible parties, and the progress and results of task handling are tracked in real time. Based on the execution results of risk disposal tasks, complete the closed-loop verification of the effectiveness of intellectual property risk management and disposal, and ensure the immutable storage of data throughout the entire process. Simultaneously update the data throughout the entire process to the project's intellectual property risk management benchmark database. Based on the full range of intellectual property risk management data throughout the project lifecycle, we complete the iterative optimization of risk management strategies, identification model parameters, and collaborative management processes, and output an optimized collaborative management solution for intellectual property risks.

2. The collaborative management and control method for intellectual property risks throughout the entire project lifecycle as described in claim 1, characterized in that, It also includes a dynamic adaptation mechanism for risk management nodes throughout the project lifecycle. Based on the project's business progress, phase acceptance results, and data on changes in the internal and external environment, it completes the adjustment of management nodes at each stage, updates risk identification dimensions, and optimizes management processes. When the project experiences adjustments to its business scope, changes in R&D direction, changes in the market environment, or updates to policies and regulations, it automatically matches the corresponding stage's risk management system and updates risk identification rules and management requirements.

3. The collaborative management and control method for intellectual property risks throughout the entire project lifecycle as described in claim 1, characterized in that, It also includes a multi-entity collaborative management and control hierarchical allocation mechanism. Based on the type, role, and business scope of the project participants, it divides the project into six collaborative management and control levels: project initiator, R&D executor, procurement supplier, production and manufacturing party, marketing party, and legal service provider. It assigns risk viewing, early warning reception, task execution, result reporting, and process approval permissions to different levels of entities, and establishes information sharing channels and collaborative interaction mechanisms among the entities.

4. The collaborative management and control method for intellectual property risks throughout the entire project lifecycle as described in claim 1, characterized in that, The intelligent intellectual property risk identification model incorporates a multi-dimensional risk feature extraction submodule, a risk classification submodule, and a risk location submodule. It completes model pre-training based on historical risk case data, policy and regulatory data, and competitor intellectual property data from the project's intellectual property risk management benchmark database. The risk feature extraction submodule extracts and vectorizes risk features from business data at each stage of the project. The risk classification submodule classifies and identifies different types of intellectual property risks. The risk location submodule locates risk points within the project's business processes, responsible entities, and ownership boundaries.

5. The collaborative management and control method for intellectual property risks throughout the entire project lifecycle as described in claim 1, characterized in that, The aforementioned real-time identification, risk level classification, and core risk point identification of intellectual property risks at each stage of the project's entire lifecycle are specifically achieved by quantifying risk values ​​based on the identified risk point characteristics using a comprehensive quantitative assessment model for intellectual property risks. The calculation formula is as follows: ； In the formula, This is a comprehensive quantitative value for the project's intellectual property risks. This represents the total number of phases throughout the project's entire lifecycle. For the first Risk weighting coefficients for each project phase For the first Total number of risk identification dimensions for each project phase For the first Phase 1 Weighting coefficients for each risk identification dimension. For the first Phase 1 The probability of risk occurrence in each dimension For the first Phase 1 Risk impact coefficients in each dimension For the first Phase 1 Risk diffusion coefficient in each dimension For the first Phase 1 The effectiveness of existing risk management measures across all dimensions.

6. The collaborative management and control method for intellectual property risks throughout the entire project lifecycle as described in claim 1, characterized in that, The issuance of standardized risk management tasks to the corresponding responsible parties specifically involves matching standardized management procedures and execution plans from a pre-set risk management plan library based on risk level and risk type. The disposal plan is broken down into multiple executable task nodes, and each task node is matched with a responsible party, execution requirements and completion deadlines. A multi-party task collaboration and interaction channel is established to collect task execution progress, node completion status and disposal process data in real time. When a task is delayed or the execution result fails to meet the standard, reminder information is automatically sent to the responsible party and project management party, and the task execution priority and disposal plan are updated synchronously.

7. The collaborative management and control method for intellectual property risks throughout the entire project lifecycle as described in claim 1, characterized in that, The process involves iteratively optimizing the risk management strategy and outputting an optimized collaborative management plan for intellectual property risks that is adapted to different stages of the project. Specifically, this involves dividing the full set of risk management data throughout the project lifecycle into training and validation sets, constructing a management strategy optimization model, and using a comprehensive evaluation model of management effectiveness to quantitatively assess the management strategy. The calculation formula is as follows: ; In the formula, The overall effectiveness of intellectual property risk management strategies is scored. The total number of statistical periods for evaluating control strategies. For the first Weighting coefficients for each statistical period , , , The weighting coefficients are for four evaluation dimensions: risk identification accuracy, response timeliness, risk elimination rate, and management cost input. For the first Actual accuracy rate of risk identification within a statistical period For the first Benchmark value of risk identification accuracy within a statistical period For the first Standard response time for risk management within a statistical period For the first The actual average response time for risk management within a statistical period For the first The total number of risks eliminated within a statistical period For the first The total number of risks identified within a statistical period For the first Benchmark cost for risk management within a statistical period For the first Actual cost of risk management within a statistical period.

8. A collaborative management system for intellectual property risks throughout the entire project lifecycle, applied to the collaborative management method for intellectual property risks throughout the entire project lifecycle as described in any one of claims 1 to 7, characterized in that, Includes the following units: Project lifecycle data management unit; An intellectual property risk classification and control configuration unit that has bidirectional communication with the project's full-cycle data management unit; An intelligent intellectual property risk identification and early warning unit that communicates bidirectionally with the project lifecycle data management unit and the risk classification and control configuration unit; A multi-entity collaborative handling and control unit that is bidirectionally connected to the risk intelligent identification and early warning unit; A control effect closed-loop verification and data storage unit that is bidirectionally connected to each unit within the system; A control strategy iterative optimization unit that communicates bidirectionally with various units within the system; The project full-lifecycle data management unit is used for the collection, cleaning, storage and management of multi-source heterogeneous data throughout the project lifecycle, and to build and update the project intellectual property risk management benchmark database in real time. The risk classification and control configuration unit is used for the standardized configuration of risk control system, control nodes, and collaborative responsibilities at each stage of the project. The risk intelligent identification and early warning unit is used for real-time identification, classification and early warning information generation of intellectual property risks throughout the project lifecycle; the multi-entity collaborative handling and control unit is used for risk handling task issuance, multi-entity collaborative execution and full-process tracking; the control effect closed-loop verification and data storage unit is used for control effect closed-loop verification and full-process data storage; the control strategy iterative optimization unit is used for control strategy quantitative evaluation and iterative optimization, and outputs adapted control optimization solutions.

9. The collaborative management and control system for intellectual property risks throughout the entire project lifecycle as described in claim 8, characterized in that, The multi-entity collaborative handling and control unit incorporates a task decomposition module, a multi-entity collaborative interaction module, a task progress tracking module, and a handling effect verification module. The task decomposition module completes the standardized decomposition of task nodes and the matching of responsible entities based on the risk handling plan. The multi-entity collaborative interaction module establishes an encrypted information sharing channel and collaborative approval process among the responsible entities. The task progress tracking module collects task execution data in real time and completes the progress visualization display. The handling effect verification module completes the automated verification of handling results based on preset execution standards. The verification results are synchronously fed back to the control effect closed-loop verification and data storage unit.

10. The collaborative management and control system for intellectual property risks throughout the entire project lifecycle as described in claim 8, characterized in that, The closed-loop verification and data storage unit for the control effect is built on a consortium blockchain architecture and includes a data on-chain module, a block storage module, and a data traceability module. The data on-chain module hashes and encrypts the data of the entire process of project intellectual property risk control before storing it on the blockchain. The block storage module completes the chain-distributed storage of the on-chain data. The data traceability module completes the link traceability and data verification of the entire risk control process based on the block storage data.

Images