CN-121998344-A - Intelligent resource allocation and organization architecture allocation system and method

CN121998344ACN 121998344 ACN121998344 ACN 121998344ACN-121998344-A

Abstract

The invention discloses a system and a method for intelligent resource allocation and organization architecture allocation, belonging to the technical field of engineering project management, wherein the system comprises: the system comprises an input and task structuring module, a multi-mode data sensing and fusing module, an intelligent resource and organization knowledge retrieval module, a central scheduler, a professional resource configuration and organization reasoning module, a management decision generating module and an output and feedback learning module. The invention solves the technical problems of low resource allocation efficiency, inaccurate person-post matching, frequent multi-project resource conflict, stiff organization architecture, fragmentation in decision making process and the like in the traditional project management.

Inventors

GUO YONGJUN
ZHANG NING
NIE HAIYAN
HE QIULIN
FENG XINZHAO
SUN AITIAN
GUO BAIYAN
YAN KAIKAI
LIU SHUANG
ZHAO HONGWEI

Assignees

中铁六局集团有限公司
中铁六局集团北京铁路建设有限公司

Dates

Publication Date: 20260508
Application Date: 20260127

Claims (9)

1. An intelligent resource allocation and organization architecture allocation system, comprising: The input and task structuring module is used for receiving a project management target input by a user and converting the project management target into a structured task instruction; The multi-mode data perception and fusion module is connected with the input and task structuring module and is used for receiving and processing multi-source heterogeneous data related to project management, extracting key information through a preset model and constructing dynamically evolving project context; The intelligent resource and organization knowledge retrieval module is respectively connected with the input and task structuring module and the multi-mode data perception and fusion module and is used for retrieving relevant information from an enterprise knowledge base based on the structured task instruction and the project context to form a decision support knowledge packet; The central dispatcher is respectively connected with the input and task structuring module and the intelligent resource and organization knowledge retrieval module and is used for receiving the structured task instruction and the decision support knowledge packet and carrying out task decomposition and dispatching; The professional resource allocation and organization reasoning module is connected with the central scheduler and comprises a plurality of artificial intelligence sub-models for executing the sub-tasks distributed by the central scheduler; The management decision generation module is connected with the central scheduler and the professional resource allocation and organization reasoning module and is used for integrating the output result of each artificial intelligent sub-model and the decision support knowledge packet to generate a comprehensive management decision document; And the output and feedback learning module is connected with the management decision generation module and is used for outputting the management decision document and optimizing each artificial intelligent sub-model and the enterprise knowledge base based on user feedback data.
2. The intelligent resource allocation and organization architecture allocation system according to claim 1, wherein said multi-modal data awareness and fusion module comprises: the document analysis unit, the HR data interface unit and the history data extraction unit are respectively used for extracting structural information from the design document, the HR system and the history project library.
3. The intelligent resource allocation and organization architecture allocation system according to claim 1, wherein said central scheduler comprises: The system comprises a task decomposition unit, a dynamic scheduling unit, a dependency management unit and a format standardization unit; The project management task is used for decomposing the project management task into atomic subtasks and dynamically distributing the atomic subtasks to the corresponding artificial intelligent submodels, and is used for managing the input and output data dependency relationship among the artificial intelligent submodels and standardizing the data interaction format among the modules.
4. The intelligent resource allocation and organization architecture allocation system of claim 1 wherein the artificial intelligence sub-model comprises a personnel-post matching sub-model, a multi-project resource conflict detection and resolution sub-model, a dynamic resource optimization sub-model, an organization architecture generation sub-model, a cost-progress coupling analysis sub-model, and a construction security risk identification sub-model.
5. The intelligent resource allocation and organization architecture allocation system according to claim 4, wherein the person-post matching sub-model is implemented by one or more of hungarian algorithm, deep recommendation network or knowledge graph inference.
6. The intelligent resource configuration and organization architecture configuration system of claim 1 wherein the intelligent resource and organization knowledge retrieval module performs knowledge matching using vector retrieval techniques.
7. The intelligent resource configuration and organization architecture configuration system according to claim 1, wherein the management decision generation module comprises: the system comprises a scheme document generation unit, a multi-format output unit and a consistency verification unit.
8. The intelligent resource allocation and organization architecture allocation system according to claim 1, wherein said output and feedback learning module comprises: The system comprises a user feedback collection unit, a model fine adjustment unit and a knowledge base updating unit; The system is used for fine tuning, parameter calibration and knowledge base updating of the models in the system based on user feedback.
9. An intelligent resource allocation and organization architecture allocation method, characterized in that it is applied to the intelligent resource allocation and organization architecture allocation system according to any one of claims 1-8, comprising the following steps: s1, receiving a user project management target and converting the user project management target into a structured task instruction; S2, analyzing the multi-source data to construct a dynamic project context; S3, searching a related knowledge base based on the task instruction and the project context to form a decision support knowledge packet; S4, performing intelligent decomposition and scheduling on the overall tasks to generate a subtask queue; S5, calling a corresponding professional artificial intelligence sub-model to execute a sub-task; S6, integrating output results and knowledge packages of all sub-models to generate a final management decision document; S7, outputting the management decision document, and collecting user feedback data to optimize the system model and the knowledge base.

Description

Intelligent resource allocation and organization architecture allocation system and method Technical Field The invention relates to the technical field of engineering project management, in particular to an intelligent resource allocation and organization architecture allocation system and method. Background The current engineering project management mainly depends on personal experience of a manager in aspects of resource allocation and organization architecture design, and has the following technical defects: The resource allocation depends on static quota standard, lacks dynamic response capability to project specific requirements, is difficult to realize accurate personnel capability and post requirement matching based on limited information and subjective judgment by a personnel post matching mechanism, is low in efficiency and unstable in decision quality due to the fact that resource conflict detection and coordination depend on manual intervention under a multi-project environment, is mainly statically set at one time, lacks dynamic adjustment capability according to project stage change in organizational architecture design, is mutually isolated in decision links such as resource allocation, progress planning, organizational design and the like, and lacks an integrated collaborative optimization mechanism. While the prior art attempts to improve the above problems by informatization systems, most solutions remain at the business process automation level, lacking deep intelligent decision making capability. Few attempts to introduce artificial intelligence technology have focused on optimization of a single link, failing to construct an intelligent decision system that covers the full life cycle of a project. Therefore, how to provide a system and method for configuring intelligent resource configuration and organization architecture is a problem that needs to be solved by those skilled in the art. Disclosure of Invention In view of this, the invention provides a system and a method for configuring intelligent resources and organizing architecture, which are used for solving the technical problems of low efficiency of resources configuration, inaccurate person-to-person matching, frequent conflict of multiple project resources, stiff organizing architecture, fragmentation of decision process and the like in the traditional project management. In order to achieve the above purpose, the present invention adopts the following technical scheme: an intelligent resource allocation and organization architecture allocation system, comprising: The input and task structuring module is used for receiving a project management target input by a user and converting the project management target into a structured task instruction; The multi-mode data perception and fusion module is connected with the input and task structuring module and is used for receiving and processing multi-source heterogeneous data related to project management, extracting key information through a preset model and constructing dynamically evolving project context; The intelligent resource and organization knowledge retrieval module is respectively connected with the input and task structuring module and the multi-mode data perception and fusion module and is used for retrieving relevant information from an enterprise knowledge base based on the structured task instruction and the project context to form a decision support knowledge packet; The central dispatcher is respectively connected with the input and task structuring module and the intelligent resource and organization knowledge retrieval module and is used for receiving the structured task instruction and the decision support knowledge packet and carrying out task decomposition and dispatching; The professional resource allocation and organization reasoning module is connected with the central scheduler and comprises a plurality of artificial intelligence sub-models for executing the sub-tasks distributed by the central scheduler; The management decision generation module is connected with the central scheduler and the professional resource allocation and organization reasoning module and is used for integrating the output result of each artificial intelligent sub-model and the decision support knowledge packet to generate a comprehensive management decision document; And the output and feedback learning module is connected with the management decision generation module and is used for outputting the management decision document and optimizing each artificial intelligent sub-model and the enterprise knowledge base based on user feedback data. Further, the multi-mode data sensing and fusing module includes: the document analysis unit, the HR data interface unit and the history data extraction unit are respectively used for extracting structural information from the design document, the HR system and the history project library. Further, the central scheduler includes: The system comp