Whole link digitization closed loop innovation item landing traceability internal control management method

Abstract

The application discloses a kind of whole link digitization closed loop innovation matter landing traceability internal control management method, belong to the technical innovation task digitization internal control technical field. The technical research and development, patent declaration, technical iteration, digitization project construction and innovation subject hard matter are included in digitization management and control platform, and integrated link of task assignment, execution, feedback, review, filing is constructed;Through online trace, dynamic supervision and risk prevention and control, according to the research and development difficulty, patent cycle and project priority setting node threshold and progress standard, the tasks of stagnation, suspension or low efficiency are early warned, supervised and responsibility traced, and the process is triggered to complete, the achievement is solidified and the responsibility is reviewed. Technical experience, patent achievement, iteration scheme and landing methodology are filed to enterprise scientific and technological digital asset library, and reusable, solidifiable, iterative new quality capacity is formed.The application realizes the whole process trace, traceability and closed loop management of innovation matter, reduces the risk of task suspension, execution failure and achievement loss.

Description

Technical Field

[0001] This invention belongs to the technical fields of innovation management, full-process internal control of scientific and technological innovation tasks, digital closed-loop traceability, and management and control of the implementation of R&D results. Specifically, it involves a full-link digital closed-loop traceability internal control management method covering the issuance, execution, feedback, review, and archiving of innovation tasks. It is applicable to R&D breakthroughs, patent layout, digital project implementation, and full life-cycle internal control supervision scenarios of cutting-edge technologies such as AI intelligent agents, trusted data spaces, full-domain data governance, and cloud-native architecture in the information management industry. It provides intelligent technical support for the standardized implementation of scientific and technological innovation tasks, the retention of innovation results, and the stable transformation of new quality production capacity for enterprises. Background Technology

[0002] Currently, innovation activities such as cutting-edge technology research and development, patent innovation layout, and digital project construction in science and technology enterprises generally suffer from management shortcomings, including fragmented processes, offline control, lack of process traceability, and lack of node traceability. Traditional innovation management models rely heavily on manual offline promotion, verbal communication, and scattered ledger records, lacking a unified digital end-to-end process control link. Innovation tasks lack a standardized, visualized, and traceable closed-loop mechanism from initiation, execution, and progress to completion.

[0003] Current technologies cannot achieve full-process online traceability and control of innovation activities. They commonly suffer from technical deficiencies such as unrecorded task assignments, lack of tracking during execution, lack of closed-loop progress feedback, lack of basis for project reviews, and lack of archiving of innovative results. This easily leads to problems such as stalled innovation tasks, ineffective R&D implementation, loss of technical experience, missing patent process data, and the inability of innovative actions to be transformed into effective production capacity. A large amount of scientific and technological innovation work remains in a semi-completed state of "project initiation and promotion, half-finished stagnation, and loss of results." Many R&D actions, technical breakthroughs, and patent innovation ideas cannot be effectively accumulated and solidified, making it difficult to transform them into sustainable and reusable technological assets and new production capacity for enterprises. This results in hidden losses of scientific and technological innovation resources, low conversion rates of innovation investment, and insufficient innovation accumulation in enterprises, failing to meet the needs of refined, standardized, and closed-loop internal control management of scientific and technological innovation. The industry urgently needs a comprehensive, traceable, fully closed-loop, and highly implementable digital internal control management system for innovation activities. Summary of the Invention

[0004] I. Purpose of the invention.

[0005] To address the technical shortcomings of existing scientific and technological innovation management processes, such as fragmented processes, lack of full-process traceability, lack of closed-loop tracking, easy task suspension, easy loss of results, and insufficient capacity transformation, this invention provides a full-chain digital closed-loop innovation implementation traceability internal control management method. It constructs an integrated digital management and control chain for innovation task assignment, execution, feedback, review, and archiving, enabling all scientific and technological innovation work to be fully traceable, each item to have a closed loop, and results to be solidified, thus eliminating the problem of innovation implementation failure and ensuring that every innovative action is effectively transformed into actual new quality production capacity of the enterprise.

[0006] II. Technical Solution.

[0007] To achieve the above-mentioned objectives, the present invention adopts the following technical solution: An innovative, fully digitalized, closed-loop traceability internal control method for the entire process of task assignment, execution, feedback, review, and archiving includes the following steps: S1. Construct a comprehensive online digital record system for innovation activities, incorporating all scientific and technological innovation activities of the enterprise, such as technology research and development, patent application, technology iteration, digital project construction, and innovation project tackling, into the digital management and control platform. This will enable online, data-driven, and traceable recording of all aspects of the process, from task initiation, resource allocation, process execution, node advancement, problem rectification, and output of results, eliminating the problems of fragmented offline operations, process gaps, and missing records. The end-to-end online record-keeping system covers the entire lifecycle of innovation projects, including task text information, executor work hours, R&D process data, technology iteration records, node progress snapshots, problem log records, phased results data, and coordination logs, forming an immutable and fully traceable digital archive of the innovation process, providing a complete data foundation for subsequent traceability and review.

[0008] S2. Establish a digital dynamic supervision mechanism that tracks every matter and closes the loop for every task. Set up modules for node control, progress warning, responsibility binding, and dynamic follow-up for each innovation task. Automatically warn, intelligently supervise, and trace the responsibility for innovation matters that are not progressed on time, are lagging behind, or have unfulfilled nodes. This will ensure that innovation tasks are tracked without blind spots, delayed, or omitted, and that all scientific and technological innovation matters are fully controllable, dynamically manageable, and successfully implemented. The dynamic supervision mechanism adopts a hierarchical node control logic, sets differentiated time thresholds and progress standards based on R&D difficulty, patent cycle, and project priority, automatically identifies stalled, suspended, and inefficient tasks, and achieves closed-loop progress throughout the entire process through system supervision, node reminders, and accountability, completely solving the pain points of traditional innovation management such as no one monitoring, chaotic progress, and empty endings.

[0009] S3. Establish an intelligent prevention and control system for the failure of innovation projects. Relying on full-chain digital traceability data and closed-loop supervision data, intelligently identify various internal control risks such as the suspension of innovation tasks, failure of implementation, gaps in technology advancement, and loss of innovation results. Targeted mechanisms for rectification and supervision, process completion, result consolidation, and responsibility review and disposal will be triggered to prevent the problems of scientific and technological innovation work becoming a mere formality, being terminated halfway, and the loss of results from the source. The risk intelligent prevention and control system focuses on the weak links in the implementation of innovation, and conducts routine inspections of innovation projects that lack progress updates, output results, or review and archiving. It accurately intercepts ineffective innovation, idle innovation, and lost innovation, ensuring that every investment in science and technology innovation has corresponding implementation actions and substantial outputs.

[0010] S4. Construct a long-term closed-loop system for transforming innovative actions into new quality production capacity. Conduct standardized and digital reviews of completed innovative tasks, accumulate technical experience, patent achievements, iterative solutions, and implementation methodologies, and archive them uniformly into the enterprise's science and technology digital asset library. This will enable the reuse of innovative experience, the solidification of innovative achievements, and the iteration of innovative capabilities, ensuring that every R&D, patent, and digital innovation action of the enterprise can be accumulated, implemented, and transformed into real and sustainable new quality production capacity, and continuously consolidate the foundation for the enterprise's innovative development.

[0011] The method of this invention is applicable to all scenarios of scientific and technological innovation internal control management in the information management industry, including AI intelligent agent R&D, trusted data space construction, full-domain data governance, cloud-native architecture iteration, and high-value patent layout. It can be used for standardized control of enterprise innovation processes, retention of scientific and technological achievements, efficient transformation of new quality production capacity, and long-term construction of scientific and technological innovation internal control system.

[0012] III. Beneficial Effects.

[0013] Compared with existing technologies, this invention possesses outstanding novelty, inventiveness, and practicality, thus improving the entire patent barrier system of patents 14-24. First, this invention pioneers an innovative five-in-one full-chain digital closed-loop traceability internal control system that integrates "issuance-execution-feedback-review-archiving," breaking through the fragmented, offline, and traceless control defects of traditional science and technology innovation management. It enables all innovative work to be fully digitally recorded and traceable at all stages, filling the industry's technological gap in refined internal control and traceability for science and technology innovation enterprises.

[0014] Second, this invention establishes a dynamic supervision and closed-loop implementation mechanism to ensure that every scientific and technological innovation task is followed up, implemented, and closed-loop, thus completely solving the management problems of innovation tasks being suspended, lagging behind, ineffective implementation, and halfway through, and significantly improving the implementation rate and execution quality of scientific and technological innovation work.

[0015] Third, this invention effectively prevents the loss of innovative achievements, the loss of technical experience, and the waste of R&D investment. It unifies and solidifies scattered scientific and technological innovation activities, R&D experience, patent results, and iterative solutions into enterprise digital assets, realizing the long-term accumulation, repeated reuse, and continuous iteration of innovative value.

[0016] Fourth, this invention, together with the aforementioned patents 14-23, forms a complete closed-loop matrix, completing the final link in the implementation of enterprise science and technology innovation internal control, process traceability, achievement solidification, and capacity transformation. It establishes a multi-dimensional digital management patent barrier system covering resource allocation, risk prevention and control, talent management, team empowerment, project loss mitigation, competitive barriers, and implementation internal control, enabling the entire process of enterprise innovation from "investment and promotion" to "implementation of production capacity" to be controllable, traceable, and value-added. Attached Figure Description

[0017] Figure 1 This is a flowchart illustrating the overall process of the innovative internal control system with a fully digital closed-loop control across the entire supply chain, as described in this invention.

[0018] Figure 2 This is a diagram illustrating the online record-keeping and node control architecture for the entire process of this invention's innovative activities.

[0019] Figure 3 This is a schematic diagram illustrating the closed-loop logic of the innovative implementation and transformation of new production capacity in this invention.

[0020] Abstract Figure Selection: Figure 1 . Detailed Implementation

[0021] The invention discloses a full-chain digital closed-loop innovation implementation traceability and internal control management method, which is suitable for internal control management of all scenarios in the information management industry, including cutting-edge technology scientific and technological innovation research and development, patent innovation, and digital project construction. The specific implementation steps are as follows: First, we will establish a comprehensive online digital record system for innovation activities. All innovation activities, including the development of AI intelligent agents, the construction of trusted data spaces, the governance of the entire domain, the iteration of cloud-native architecture, the patent application layout, and the technical research and development projects, will be recorded in the digital internal control platform. The system will record task assignment information, responsible persons, resource allocation, execution plans, progress nodes, R&D process data, and collaborative communication records in real time online, so as to achieve the complete, seamless, and comprehensive digital record of the entire innovation process.

[0022] Secondly, a dynamic, closed-loop supervision mechanism for the entire process was launched. For each innovative task, stage nodes, progress standards, and completion deadlines were set. The system automatically monitors the progress of the task in real time. Tasks that are progressing normally are regularly archived. Tasks that are lagging behind, have stalled nodes, or have not been updated for a long time are automatically triggered with early warning and supervision. The responsible parties are linked, rectification reminders are pushed, and follow-up is continuously carried out until the task is completed and the loop is closed, so that everything is followed up and every task is completed.

[0023] Furthermore, we will operate an intelligent prevention and control system for innovation failure risks. Relying on big data with full-process traceability, we will regularly inspect the implementation status of innovation tasks, accurately identify problems such as implementation failure, execution idling, loss of results, and R&D gaps, and promptly initiate differentiated handling strategies such as rectification, supplementation, termination, and restart for failed innovation matters to prevent the ineffective consumption of scientific and technological innovation resources and the hidden loss of innovation results.

[0024] Finally, the innovation tasks are reviewed, archived, and transformed into new production capacity. Standardized and digital reviews are conducted on the completed innovation tasks, summarizing the technological breakthroughs, patent innovations, process optimizations, and experience methodologies. All process data, results documents, and technical data are uniformly archived into the enterprise's science and technology innovation digital asset library, so that innovation experience can be reused and innovation results can be solidified. This ensures that every R&D innovation, patent layout, and digital construction action can be effectively transformed into the enterprise's technological advantages, product advantages, and new production capacity, supporting the enterprise's long-term and high-quality innovation development.

[0025] The above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A full-link digitized closed-loop innovation item landing traceability internal control management method, characterized in that, Includes the following steps: S1. Construct a comprehensive online digital record-keeping system for innovation activities, incorporating enterprise technology R&D, patent applications, technology iterations, digital project construction, and innovation research into a digital management platform. This system records task initiation, resource allocation, process execution, milestone progress, problem rectification, and output results online, digitally, and with clear traceability. S2. Establish a digital dynamic supervision mechanism, setting up milestone control, progress warning, responsibility binding, and dynamic follow-up modules for each innovation task. This mechanism provides warnings, supervision, and accountability for innovation activities that are not progressing on time, are lagging behind schedule, or have unfulfilled milestones. S3. Establish an intelligent prevention and control system for the failure risk of innovation activities. Based on full-chain digital record-keeping data and closed-loop supervision data, this system identifies risks of unfulfilled innovation tasks, ineffective implementation, technological gaps, and loss of innovation results, triggering rectification supervision, process completion, result consolidation, and accountability review. S4. Construct a long-term closed-loop system for transforming innovative actions into new quality production capacity, conduct digital reviews of completed innovative tasks, and archive technical experience, patent achievements, iterative solutions, and implementation methodologies into the enterprise's science and technology innovation digital asset library.

2. The method for traceability and internal control management of the implementation of end-to-end digital closed-loop innovation projects according to claim 1, characterized in that, The comprehensive online digital record-keeping system for innovation projects covers the entire lifecycle of innovation projects. The data retained includes task text information, executor work hours, R&D process data, technology iteration records, node progress snapshots, problem ledger records, phased results materials, and coordination logs.

3. The end-to-end digital closed-loop innovation implementation traceability and internal control management method according to claim 1, characterized in that, The digital dynamic supervision mechanism adopts a hierarchical node control logic, sets differentiated time thresholds and progress standards based on R&D difficulty, patent cycle and project priority, and automatically identifies stalled tasks, suspended tasks and inefficient tasks.

4. The end-to-end digital closed-loop innovation implementation traceability and internal control management method according to claim 1, characterized in that, The digital dynamic supervision mechanism continuously tracks innovative tasks through system supervision, node reminders, and accountability, until a closed loop of implementation is formed.

5. The method for traceability and internal control management of the implementation of end-to-end digital closed-loop innovation projects according to claim 1, characterized in that, The intelligent prevention and control system for the failure of innovation projects conducts routine inspections of innovation projects that lack progress updates, output results, or review and archiving, and specifically intercepts ineffective innovations, idle innovations, and lost innovations.

6. The method for traceability and internal control management of the implementation of end-to-end digital closed-loop innovation projects according to claim 1, characterized in that, The aforementioned rectification and supervision, process completion, results consolidation, and accountability review and handling mechanisms are used to prevent scientific and technological innovation work from becoming a mere formality, being terminated halfway, or having its results lost, from the source.

7. The method for traceability and internal control management of the implementation of end-to-end digital closed-loop innovation projects according to claim 1, characterized in that, The enterprise science and technology innovation digital asset library is used to uniformly store process data, results documents, technical data, technological breakthroughs, patent innovations, process optimizations, and experience methodologies related to innovation.

8. The method for traceability and internal control management of the implementation of end-to-end digital closed-loop innovation projects according to claim 1, characterized in that, The method is applicable to scenarios such as AI agent research and development, trusted data space construction, full-domain data governance, cloud-native architecture iteration, high-value patent layout, standardized management and control of enterprise innovation processes, accumulation and retention of scientific and technological achievements, and efficient transformation of new quality production capacity.

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