Reserve item configuration regulation and control method and device based on feedback mechanism, medium and product

Through real-time data collection and graph analysis, resource allocation is dynamically adjusted, and the problems of lagging response and unreasonable resource allocation in traditional reserve project management are solved, and the refinement and intelligence of project management are realized, and resource utilization efficiency and project quality are improved.

CN119294728APending Publication Date: 2025-01-10NORTH CHINA ELECTRIC POWER UNIV +3
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Patent Information

Application Number
CN202411332875.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-24
Publication Date
2025-01-10

AI Technical Summary

Technical Problem

The traditional reserve project management method has problems such as lagging response, unreasonable resource allocation, information asymmetry and low resource utilization efficiency. It is especially difficult to cope with dynamically changing project requirements and environmental factors, and the lack of effective feedback mechanisms limits the early identification of project problems. and processing capability.

Method used

采用基于反馈机制的储备项目配置调控方法,通过实时获取多源数据,进行数据预处理、特征提取和图谱分析,结合系统动力学和自适应学习算法,动态调整资源配置策略,实现项目状态的实时监控和优化调控。

Benefits of technology

It significantly improves the accuracy and response speed of project management, optimizes resource allocation, reduces resource waste, improves the overall quality and long-term benefits of the project, and ensures the successful implementation of the project and maximizes the benefits.

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Abstract

The invention discloses a reserve project configuration regulation and control method and device based on a feedback mechanism, a medium and a product, and relates to the technical field of project management and resource allocation, and the method comprises the steps: obtaining the state information of a reserve project in real time; preprocessing the state information to obtain preprocessed state information; the preprocessing comprises data cleaning, abnormal value detection and data standardization; performing feature extraction on the preprocessed state information to obtain a plurality of key state features of the reserve project; constructing a project state feature association network atlas based on each key state feature by using an atlas theory; a system dynamics method is adopted to analyze the project state feature association network atlas to obtain the main motivation and the state change trend of the state deviation of the reserve project, so that the state analysis result of the reserve project is obtained; and based on a state analysis result, dynamically regulating and controlling a configuration strategy of the reserve project by applying an adaptive learning algorithm. According to the invention, the precision and efficiency of project management are improved.
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Description

Technical Field

[0001] The present application relates to the technical field of project management and resource allocation, and in particular to a method, device, medium and product for reserve project configuration control based on a feedback mechanism. Background Art

[0002] In the field of project management and resource allocation, especially in the management of reserve projects, there are problems such as information asymmetry, delayed response and low resource allocation efficiency. Traditional reserve project management methods usually rely on static planning and manual adjustments, which are difficult to cope with dynamically changing project requirements and environmental factors, resulting in low resource utilization efficiency and frequent resource shortages or surpluses during project execution. In addition, the lack of an effective feedback mechanism makes it difficult for project status information to be fed back to the decision-making level in a timely manner, limiting the ability to identify and deal with project problems at an early stage.

[0003] With the development of data technology and analysis methods, more and more project management methods have begun to introduce data-driven decision-making mechanisms. However, most existing methods are limited to the analysis of a single data source or a single stage, and fail to fully utilize multi-source data and information throughout the life cycle. Especially in the configuration and regulation of reserve projects, due to the diversity and complexity of projects, the status characteristics of different projects in the reserve, execution and evaluation stages vary significantly, and traditional methods are difficult to provide accurate status assessment and optimization regulation.

[0004] Therefore, there is an urgent need for a method that can dynamically feedback project status information and adjust resource allocation in real time to improve the accuracy and efficiency of reserve project management. This method not only requires the integration of multi-source data to achieve real-time monitoring and feedback of project status, but also requires strong analytical capabilities to identify the main drivers of status deviations and formulate optimized control strategies accordingly. The ultimate goal is to improve the overall benefits and resource utilization efficiency of the project through scientific management and control, and achieve high-quality development of reserve projects. Summary of the invention

[0005] The purpose of this application is to provide a reserve project configuration control method, device, medium and product based on a feedback mechanism, which solves the problems of delayed response and unreasonable resource allocation in traditional project management methods, and improves the accuracy and efficiency of project management by collecting and analyzing multi-source data, monitoring project status in real time, and dynamically adjusting resource allocation.

[0006] To achieve the above objectives, this application provides the following solutions:

[0007] In a first aspect, the present application provides a method for regulating and controlling reserve project configuration based on a feedback mechanism, comprising:

[0008] Obtain status information of reserve projects in real time; the status information includes: type, scale, priority, geographical location and environmental factors;

[0009] Preprocessing the state information to obtain preprocessed state information; the preprocessing includes: data cleaning, outlier detection and data standardization;

[0010] Performing feature extraction on the preprocessed status information to obtain a plurality of key status features of the reserve items;

[0011] Using graph theory, a project status feature association network graph is constructed based on each of the key status features;

[0012] Adopting the system dynamics method, the project status feature association network map is analyzed to obtain the main motivations of the state deviation and the state change trend of the reserve project, thereby obtaining the state analysis results of the reserve project;

[0013] Based on the status analysis results, an adaptive learning algorithm is used to dynamically adjust the configuration strategy of the reserve project.

[0014] Optionally, obtain status information of the reserve items in real time, including:

[0015] The status information of the reserve items is collected in real time from multiple data sources; the data sources include: sensors, management systems and external databases.

[0016] Optionally, the formula for data standardization includes:

[0017]

[0018] Among them, x′ is the state information after data standardization; min(·) is the minimum value; max(·) is the maximum value; x is the state information before data standardization.

[0019] Optionally, feature extraction is performed on the preprocessed state information to obtain multiple key state features of the reserve item, including:

[0020] The performance indicators of each stage of the reserve project in the pre-processed status information are analyzed and filtered to obtain key status characteristics of the reserve project; the key status characteristics include: progress, cost and quality.

[0021] Optionally, using graph theory, a project status feature association network graph is constructed based on each of the key status features, including:

[0022] A project status feature association network graph is constructed with each of the key status features as a node and the relationship between the key status features as an edge.

[0023] Optionally, a system dynamics method is used to analyze the project status feature association network map to obtain the main causes of the state deviation and state change trends of the reserve project, thereby obtaining the state analysis results of the reserve project, including:

[0024] Analyze the project status feature association network map to obtain the main causes of the status deviation of the reserve project;

[0025] The state change trend is determined by using a time series prediction model based on the project state feature association network map.

[0026] Optionally, the configuration strategy of the reserve projects includes: resource allocation ratio, project priority ranking, fund allocation and project layout.

[0027] In a second aspect, the present application provides a computer device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement any of the above-mentioned reserve project configuration control methods based on the feedback mechanism.

[0028] In a third aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any of the above-mentioned reserve project configuration and control methods based on a feedback mechanism.

[0029] In a fourth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements any of the above-mentioned reserve project configuration and control methods based on the feedback mechanism.

[0030] According to the specific embodiments provided in this application, this application discloses the following technical effects:

[0031] The present application discloses a method, device, medium and product for configuration and control of reserve projects based on feedback mechanism. First, the status information of the reserve project is obtained in real time; the status information includes: type, scale, priority, geographical location and environmental factors; the status information is preprocessed to obtain the preprocessed status information; the preprocessing includes: data cleaning, outlier detection and data standardization; secondly, the preprocessed status information is feature extracted to obtain multiple key status features of the reserve project; then, the graph theory is used to construct a project status feature association network map based on each key status feature; thirdly, the system dynamics method is used to analyze the project status feature association network map to obtain the main motivation of the state deviation of the reserve project and the state change trend, thereby obtaining the state analysis result of the reserve project; finally, based on the state analysis result, the adaptive learning algorithm is used to dynamically control the configuration strategy of the reserve project. The present application realizes the refinement and intelligent technology of reserve project management through real-time status information collection, feature extraction, comprehensive status analysis and dynamic control. It can significantly improve the accuracy and response speed of project management, optimize resource allocation, reduce resource waste in project operation, and improve the overall quality and long-term benefits of the project. This feedback-based control method and system can provide continuous optimization support throughout the project life cycle, ensuring the successful implementation of the project and maximizing its benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0033] Figure 1 A schematic diagram of a flow chart of a method for controlling and configuring reserve items based on a feedback mechanism provided in an embodiment of the present application;

[0034] Figure 2 It is a schematic diagram of the pretreatment process;

[0035] Figure 3 It is a schematic diagram of the system dynamics model;

[0036] Figure 4 Schematic diagram of the control system structure for reserve projects based on feedback mechanism;

[0037] Figure 5 Schematic diagram of the principle of configuring a control system for reserve projects based on a feedback mechanism;

[0038] Figure 6 A schematic diagram of the structure of a computer device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0039] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0040] The purpose of this application is to provide a method, device, medium and product for reserve project configuration control based on a feedback mechanism, aiming to improve the accuracy and efficiency of project management.

[0041] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0042] In an exemplary embodiment, Figure 1 As shown, the reserve project configuration control method based on the feedback mechanism in this embodiment includes:

[0043] Step 01: Obtain status information of reserve projects in real time; status information includes: type, scale, priority, geographical location and environmental factors.

[0044] As an optional implementation, step 01 includes:

[0045] Collect status information of reserve items in real time from multiple data sources; data sources include: sensors, management systems and external databases.

[0046] Specifically, the type of reserve project refers to the specific type of reserve project, including: R&D projects and construction projects. The scale of the reserve project involves the size of the reserve project, including: budget and staffing. The priority of the reserve project refers to the priority order of the reserve project in the overall plan. Environmental factors include: market trends, regulatory changes and climate conditions, which may affect the progress and results of the project.

[0047] Step 02: Preprocess the status information to obtain preprocessed status information; the preprocessing includes: data cleaning, outlier detection and data standardization.

[0048] As an optional implementation, the formula for data standardization includes:

[0049]

[0050] Among them, x′ is the state information after data standardization; min(·) is the minimum value; max(·) is the maximum value; x is the state information before data standardization.

[0051] Specifically, data preprocessing is carried out to optimize data quality so that the data meets the requirements of the model. Figure 2 As shown, preprocessing includes: (1) Data cleaning: Clean up redundant, erroneous and incomplete records in the data to ensure the accuracy and completeness of the data. (2) Anomaly detection: Identify outliers in the data, which may be caused by errors or abnormal events in the data collection process. Processing methods include removing, replacing or adjusting abnormal data. (3) Data standardization: Convert data from different sources and scales to a unified standard for subsequent analysis. Standardization processing can use normalization or standardization methods to make data comparable on the same scale.

[0052] Step 03: Extract features from the preprocessed status information to obtain multiple key status features of the reserve items.

[0053] As an optional implementation, step 03 includes:

[0054] The performance indicators of each stage of the reserve project in the pre-processed status information are analyzed and filtered to obtain the key status characteristics of the reserve project; the key status characteristics include: progress, cost and quality.

[0055] Specifically, cluster analysis and principal component analysis methods are used to extract the most representative feature set of the project status, namely the key status features, from the multi-dimensional pre-processed status information to improve the accuracy and interpretability of feature extraction.

[0056] Status analysis includes constructing a network graph of project status characteristics, applying network analysis indicators such as node centrality and edge weight to evaluate the strength of association between project status characteristics, and identifying key nodes and key paths.

[0057] Step 04: Using graph theory, construct a project status feature association network graph based on each key status feature.

[0058] As an optional implementation, step 04 includes:

[0059] With each key state feature as a node and the relationship between each key state feature as an edge, a project state feature association network map is constructed.

[0060] Specifically, the edge represents the relationship between key state features, which can be correlation, causality, etc. The elements in the association matrix composed of each node are expressed as:

[0061]

[0062] Among them, A ijis the element in the i-th row and j-th column of the incidence matrix.

[0063] Step 05: Use the system dynamics method to analyze the project status feature association network map to obtain the main causes of the state deviation and state change trends of the reserve project, thereby obtaining the state analysis results of the reserve project.

[0064] As an optional implementation, step 05 includes:

[0065] Step 051: Analyze the project status feature association network map to obtain the main causes of status deviation of the reserve project.

[0066] Step 052: Use the time series prediction model to determine the state change trend based on the project state feature association network map.

[0067] Specifically, Figure 3 As shown in the figure, the system dynamics method is used to analyze the deviation and change trend of the project status. These analyses help identify potential problems and risks in the project and predict future trends. Prediction model: Use the time series prediction model to predict the future status of the project and identify possible deviations in advance. The formula of the system dynamics model in the system dynamics method is:

[0068]

[0069] Among them, S is the project state vector, i.e., the key state feature; t is the time; f(·) is the change function of the system state; I is the input data (such as resource allocation, environmental factors); and P is the model parameter. This model is used to predict future state changes of the project and identify potential deviations and risks.

[0070] In fact, the project status feature association network map is used to further conduct node centrality analysis and edge weight analysis. These analyses help understand the relationship between features and the impact on the overall project. Node centrality analysis: determine which project status features are most important in the network, which may be the key factors for project success or failure. Edge weight analysis: evaluate the degree of mutual influence between project status features.

[0071] Step 06: Based on the status analysis results, use the adaptive learning algorithm to dynamically adjust the configuration strategy of the reserve project.

[0072] As an optional implementation method, the configuration strategy of the reserve projects includes: resource allocation ratio, project priority ranking, fund allocation and project layout.

[0073] Specifically, when dynamically adjusting the configuration strategy of the reserve project, the optimal resource allocation plan is formulated according to the specific needs and status of the reserve project. The optimization objective function in the adjustment process can be expressed as:

[0074]

[0075] Among them, J is the control cost function; T is the total number of moments; c t is the resource cost at time t; u t is the resource allocation at time t; λ is the control cost weight; y t is the key state feature at time t; y t-1 is the key state feature at time t-1.

[0076] The above methods can be used to achieve real-time monitoring and continuously track changes in project status. The monitoring system should be able to generate detailed reports and provide alerts when abnormalities occur. Reports generated based on real-time data can help management make decisions. When the project status is abnormal, the system should issue an alert in time to remind relevant personnel to take measures.

[0077] In order to execute the methods corresponding to the above embodiments and achieve corresponding functions and technical effects, a reserve project configuration control system based on a feedback mechanism is provided below.

[0078] like Figure 4 and Figure 5 As shown, the reserve project configuration control system based on the feedback mechanism provided in this embodiment includes: a data collection unit 1, a data processing and analysis unit 2, a state feedback and prediction unit 3, a dynamic control unit 4 and a real-time monitoring and reporting unit 5 connected in sequence.

[0079] The data collection unit 1 is used to obtain the status information of the reserve project in real time; the status information includes: type, scale, priority, geographical location and environmental factors.

[0080] The data processing and analysis unit 2 is used to preprocess the status information to obtain preprocessed status information; the preprocessing includes: data cleaning, outlier detection and data standardization; feature extraction is performed on the preprocessed status information to obtain multiple key status features of the reserve project.

[0081] The state feedback and prediction unit 3 is used to use the graph theory to construct a project state feature association network graph based on each key state feature; the system dynamics method is used to analyze the project state feature association network graph to obtain the main causes of the state deviation and state change trends of the reserve project, thereby obtaining the state analysis results of the reserve project.

[0082] The dynamic control unit 4 is used to dynamically control the configuration strategy of the reserve project based on the state analysis results using an adaptive learning algorithm.

[0083] The monitoring and reporting unit 5 is used to provide real-time monitoring functions, generate project status reports and optimization suggestions, and support data visualization and alarm systems to assist decision-making.

[0084] In an exemplary embodiment, a computer device is provided, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement a reserve project configuration control method based on a feedback mechanism.

[0085] In an exemplary embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, a method for controlling and controlling the configuration of reserve items based on a feedback mechanism is implemented.

[0086] In an exemplary embodiment, a computer program product is provided, including a computer program, which, when executed by a processor, implements a method for regulating and controlling reserve item configuration based on a feedback mechanism.

[0087] In an exemplary embodiment, a computer device is provided. The computer device may be a server or a terminal. The internal structure diagram thereof may be as follows: Figure 6 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a reserve project configuration control method based on a feedback mechanism is implemented.

[0088] Those skilled in the art will understand that Figure 6 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0089] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0090] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0091] The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but is not limited thereto.

[0092] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0093] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A method for controlling the configuration of reserve projects based on a feedback mechanism, characterized in that: The reserve project configuration control method based on the feedback mechanism includes: Obtain status information of reserve projects in real time; the status information includes: type, scale, priority, geographical location and environmental factors; Preprocessing the state information to obtain preprocessed state information; the preprocessing includes: data cleaning, outlier detection and data standardization; Performing feature extraction on the preprocessed status information to obtain multiple key status features of the reserve items; Using graph theory, a project status feature association network graph is constructed based on each of the key status features; Adopting the system dynamics method, the project status feature association network map is analyzed to obtain the main motivations of the state deviation and the state change trend of the reserve project, thereby obtaining the state analysis results of the reserve project; Based on the status analysis results, an adaptive learning algorithm is used to dynamically adjust the configuration strategy of the reserve project.

2. The method for controlling and controlling reserve project configuration based on feedback mechanism according to claim 1, characterized in that: Get real-time status information of reserve projects, including: The status information of the reserve items is collected in real time from multiple data sources; the data sources include: sensors, management systems and external databases.

3. The method for controlling and controlling reserve project configuration based on feedback mechanism according to claim 1, characterized in that: The formula for data standardization includes: Among them, x′ is the state information after data standardization; min(·) is the minimum value; max(·) is the maximum value; x is the state information before data standardization.

4. The method for controlling and controlling reserve project configuration based on feedback mechanism according to claim 1 is characterized in that: Feature extraction is performed on the preprocessed status information to obtain multiple key status features of the reserve items, including: The performance indicators of each stage of the reserve project in the pre-processed status information are analyzed and filtered to obtain key status characteristics of the reserve project; the key status characteristics include: progress, cost and quality.

5. The method for controlling and controlling reserve project configuration based on feedback mechanism according to claim 1 is characterized in that: Using graph theory, a project status feature association network graph is constructed based on each of the key status features, including: A project status feature association network graph is constructed with each of the key status features as a node and the relationship between the key status features as an edge.

6. The method for controlling and controlling reserve project configuration based on feedback mechanism according to claim 1, characterized in that: The system dynamics method is used to analyze the project status feature association network map to obtain the main causes of the state deviation and state change trends of the reserve project, thereby obtaining the state analysis results of the reserve project, including: Analyze the project status feature association network map to obtain the main causes of the status deviation of the reserve project; The state change trend is determined by using a time series prediction model based on the project state feature association network map.

7. The method for controlling and controlling reserve project configuration based on feedback mechanism according to claim 1, characterized in that: The configuration strategy of the reserve projects includes: resource allocation ratio, project priority ranking, fund allocation and project layout.

8. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the reserve project configuration control method based on the feedback mechanism as described in any one of claims 1 to 7.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, it implements the reserve project configuration control method based on the feedback mechanism as described in any one of claims 1 to 7.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, it implements the reserve project configuration control method based on the feedback mechanism as described in any one of claims 1 to 7.