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CN-122021841-A - Work order service tracking method, platform and medium based on project knowledge base

CN122021841ACN 122021841 ACN122021841 ACN 122021841ACN-122021841-A

Abstract

The invention provides a work order service tracking method, platform and medium based on a project knowledge base, which relate to the technical field of data processing, and the method comprises the steps of constructing the project knowledge base in the project operation and maintenance process; reading the work order information, carrying out semantic analysis processing, mapping the analysis result to a project knowledge base to generate a knowledge mapping result, extracting a historical processing path and a standard implementation path which have the degree of association with the work order meeting preset conditions to construct a service processing baseline track corresponding to the work order, collecting the processing behavior information of the work order in real time in the execution process of the work order, continuously mapping the processing behavior information to the project knowledge base to generate a real-time knowledge evolution track, executing the service tracking analysis of the work order, and establishing a service tracking result. The invention solves the technical problems that the work order processing efficiency is low, the error rate is high, and the project progress and quality are affected due to the fact that the work order management in the prior art mostly depends on manual input and processing and lacks an automatic knowledge mining and application mechanism.

Inventors

  • LI DUAN
  • WANG SHENGSHENG

Assignees

  • 江苏连邦网络信息技术服务有限公司

Dates

Publication Date
20260512
Application Date
20260415

Claims (10)

  1. 1. The work order service tracking method based on the project knowledge base is characterized by comprising the following steps: In the project operation and maintenance process, a project knowledge base is constructed, the project knowledge base takes a project as an organization object, and structural modeling is carried out on a technical scheme, implementation steps, historical problems, processing results and risk association formed in the whole life cycle of the project, so as to form a plurality of computable project knowledge units; When a work order is accessed, reading work order information of the work order, wherein the work order information comprises work order description information, associated project identification and service context information, carrying out semantic analysis processing on the work order information, mapping analysis results into the project knowledge base, and generating knowledge mapping results representing association relations between the work order and a plurality of project knowledge units; extracting a historical processing path and a standard implementation path which have the degree of association with the work order meeting a preset condition from a project knowledge base by using the knowledge mapping result, and constructing a service processing baseline track corresponding to the work order; in the execution process of the work order, processing behavior information of the work order is collected in real time, the processing behavior information is continuously mapped to the project knowledge base, and a real-time knowledge evolution track is generated; And executing work order service tracking analysis by utilizing the matching relation between the service processing baseline track and the real-time knowledge evolution track, and establishing a service tracking result.
  2. 2. The project knowledge base based work order service tracking method of claim 1, wherein constructing a service processing baseline trajectory corresponding to a work order comprises: identifying a project knowledge unit set with the degree of association with the work order meeting a set threshold according to the knowledge mapping result; Extracting historical processing path and standard implementation path information for each item knowledge unit in the item knowledge unit set, and carrying out weight distribution according to the priority of the work order and the service context information; Carrying out path weighted integration on the historical processing paths and the standard according to the weight distribution result to form an initial service processing track, wherein the initial service processing track is ordered according to the processing step sequence, the dependency relationship and the technical constraint; and executing path optimization analysis on the initial service processing track according to the historical processing success rate, the processing time statistics and the risk influence index, and establishing a service processing baseline track.
  3. 3. The project knowledge base based work order service tracking method of claim 1, wherein performing work order service tracking analysis using the matching relationship of the service processing baseline track and the real-time knowledge evolution track, and establishing a service tracking result, comprises: gradually matching the processing steps of the real-time knowledge evolution track with knowledge units in a service processing baseline track, and establishing a gradual matching result; Constructing a matching matrix according to the gradual matching result, wherein the rows of the matching matrix represent the baseline track step, the list represents the real-time track step, and the matrix elements represent the matching state and the matching degree; Analyzing the work order service state by using the matching matrix, wherein the work order service state comprises processing path consistency analysis, knowledge unit call sufficiency analysis and risk node exposure analysis; And establishing a service tracking result according to the analysis result.
  4. 4. The project knowledge base based work order service tracking method of claim 1, wherein the matching relationship between the service processing baseline track and the real-time knowledge evolution track is utilized to execute work order service tracking analysis, further comprising: Constructing a knowledge expected evolution interval of a corresponding work order based on the service processing baseline track, wherein the knowledge expected evolution interval is used for representing step sequence changes, processing mode substitution and risk avoidance paths which are allowed to occur in the work order processing process under project knowledge constraint; projecting the real-time knowledge evolution track into the knowledge expected evolution interval, and judging whether the real-time processing step falls into the corresponding knowledge expected evolution interval or not; And executing work order service tracking analysis according to the occurrence position and duration of the knowledge evolution boundary crossing and the associated project knowledge units, and identifying the service offset stage and the potential risk diffusion direction of the work order.
  5. 5. The project knowledge base based work order service tracking method according to claim 4, wherein constructing a knowledge expected evolution interval of a corresponding work order based on the service processing baseline trajectory comprises: Reading a project knowledge unit corresponding to each processing step and a pre-defined pre-dependency relationship, a post-influence relationship and a risk constraint condition in a project knowledge base by taking the processing step in the service processing baseline track as a reference; For each project knowledge unit, extracting a replacement knowledge unit in the project knowledge unit functional equivalent or the first risk cost based on a historical processing path recorded in a project knowledge base, and establishing a knowledge unit replacement set; determining an allowable execution sequence interval and an allowable position offset range of each item knowledge unit in the service processing process by utilizing the front dependency relationship and the rear influence relationship; Integrating the knowledge unit substitution set, the allowed execution sequence interval, the allowed position offset range and the risk constraint condition, and performing interval expansion on the service processing baseline track to generate a knowledge evolution candidate set comprising a plurality of allowed processing paths; Integrating the knowledge evolution candidate set into a knowledge expected evolution interval of a corresponding work order.
  6. 6. The project knowledge base based work order service tracking method according to claim 1, wherein after establishing a service tracking result, comprising: Judging the service risk level of the work order based on the service offset stage and the potential risk diffusion direction represented in the service tracking result; and if the service risk level reaches a preset early warning condition, triggering work order service early warning, and outputting early warning information corresponding to the risk diffusion direction for prompting the project operation risk or service failure risk possibly caused by the current work order.
  7. 7. The project knowledge base-based work order service tracking method according to claim 6, wherein a dynamic service tracking strategy is configured according to the frequency, duration and related key project knowledge units of knowledge evolution out-of-range in continuous service tracking results, and work order service tracking management is performed by using the dynamic service tracking strategy.
  8. 8. The project knowledge base based work order service tracking method according to claim 1, wherein a time sequence record is executed on the service tracking result, a time sequence tracking data sequence is constructed, and distributed encryption storage management is performed on the time sequence tracking data sequence.
  9. 9. A project knowledge base based work order service tracking platform for implementing the project knowledge base based work order service tracking method of any one of claims 1-8, said platform comprising: The structural modeling module is used for constructing a project knowledge base in the project operation and maintenance process, wherein the project knowledge base takes a project as an organization object, carries out structural modeling on a technical scheme, implementation steps, history problems, processing results and risk association formed in the whole life cycle of the project, and forms a plurality of computable project knowledge units; The knowledge mapping result generation module is used for reading the work order information of the work order after the work order is accessed, wherein the work order information comprises work order description information, associated project identification and service context information, carrying out semantic analysis processing on the work order information, mapping the analysis result into the project knowledge base and generating a knowledge mapping result representing the association relation between the work order and a plurality of project knowledge units; The service processing baseline track construction module is used for extracting a historical processing path and a standard implementation path which have the degree of association with the work order and meet the preset condition from a project knowledge base by utilizing the knowledge mapping result, and constructing a service processing baseline track corresponding to the work order; The knowledge evolution track generation module is used for collecting the processing behavior information of the work order in real time in the execution process of the work order, continuously mapping the processing behavior information to the project knowledge base and generating a real-time knowledge evolution track; And the service tracking result generation module is used for executing work order service tracking analysis by utilizing the matching relation between the service processing baseline track and the real-time knowledge evolution track and establishing a service tracking result.
  10. 10. A storage medium having stored thereon a computer program, which when executed by a processor implements the steps of the project knowledge base based work order service tracking method of any of claims 1 to 8.

Description

Work order service tracking method, platform and medium based on project knowledge base Technical Field The invention relates to the technical field of data processing, in particular to a work order service tracking method, platform and medium based on a project knowledge base. Background In the modern project management and operation and maintenance process, the management and tracking of work order services are key links for ensuring the smooth execution of projects, work orders generally relate to multiple aspects of problem processing, task execution, resource allocation and the like, and how to efficiently and intelligently track and manage the work orders, ensure that the work orders can be executed according to an optimal path, and timely discover and process potential problems becomes a technical problem to be solved urgently. The conventional work order management system mostly relies on manual input and processing, and is capable of recording work order information and performing basic task allocation, but generally lacks an automatic knowledge mining and application mechanism, and the manual input and processing usually causes subjectivity and inaccuracy of data, so that opportunities for optimizing work order processing are missed, the work order processing time is prolonged, errors are increased, and finally project progress and quality are affected. Disclosure of Invention The application provides a work order service tracking method, a platform and a medium based on a project knowledge base, and aims to solve the technical problems that in the prior art, work orders are mostly input and processed manually, and an automatic knowledge mining and application mechanism is lacked, so that the work order processing efficiency is low, the error rate is high, and further the project progress and quality are affected. The first aspect of the disclosure provides a work order service tracking method based on a project knowledge base, which comprises the steps of constructing the project knowledge base in a project operation and maintenance process, structurally modeling a technical scheme, an implementation step, a history problem, a processing result and risk association formed in a project full life cycle by taking a project as an organization object to form a plurality of computable project knowledge units, reading work order information of the work order after the work order is accessed, wherein the work order information comprises work order description information, associated project identification and service context information, carrying out semantic analysis processing on the work order information, mapping analysis results into the project knowledge base, generating knowledge mapping results representing association relation between the work order and the plurality of project knowledge units, extracting a history processing path and a standard implementation path which satisfy preset conditions with the association degree of the work order from the project knowledge base by utilizing the knowledge mapping results, constructing a service processing baseline track corresponding to the work order, continuously mapping the processing behavior information of the work order to the project in a real-time acquisition and real-time service tracking process, generating a real-time service tracking relation by utilizing the real-time analysis result, and building the real-time service tracking track by utilizing the real-time evolution result. The second aspect of the disclosure provides a work order service tracking platform based on a project knowledge base, wherein the platform is used for the work order service tracking method based on the project knowledge base, and comprises a structural modeling module, a service processing base line track construction module, a knowledge mapping result generation module and a real-time evolution service base line track analysis module, wherein the structural modeling module is used for constructing the project knowledge base in a project operation and maintenance process, the project knowledge base is used for structurally modeling a technical scheme, implementation steps, historical problems, processing results and risk association formed in a project full life cycle by taking a project as an organization object to form a plurality of computable project knowledge units, the knowledge mapping result generation module is used for reading work order information of a work order after the work order is accessed, the work order information comprises work order description information, associated project identification and service context information, carrying out semantic analysis processing on the work order information, mapping results are mapped to the project knowledge base, and generating knowledge mapping results representing the association relation between the work order and the project knowledge units, the service processing base line track construction modul