Engineering consultation enterprise knowledge management method and system embedded with business process

Abstract

The invention provides an engineering consultation enterprise knowledge management method and system embedded with a business process, and the method comprises the steps: obtaining business data generated in an engineering consultation project through a project redisk, extracting knowledge information related to engineering consultation, the business process and the project from the business data, constructing a targeted knowledge base containing the unstructured knowledge information and the structured knowledge information; a knowledge graph construction technology is adopted, unstructured knowledge information in the targeted knowledge base is associated, and a knowledge graph is formed and used for supporting project redisk and various knowledge applications; and searching the structured knowledge information in the targeted knowledge base through a set index, and positioning to obtain required information for supporting specific project data query. According to the method, the problems of knowledge management and business process integration of engineering consultation enterprises are solved, project redisk is introduced to capture experience, and efficient knowledge inflow and outflow are realized by using a knowledge graph and index retrieval technology.

Description

Technical Field

[0001] The present invention relates to the technical field of engineering consulting and knowledge management, and in particular to a knowledge management method and system for an engineering consulting enterprise embedded in a business process, as well as a corresponding computer terminal and a computer-readable storage medium. Background Art

[0002] In today's engineering consulting field, the information involved in projects is very complex, including unstructured data such as technical documents, construction plans, quality reports, and structured information such as project progress and cost data. These data are scattered in different systems, documents, and personal experience, and there are many obstacles to integrating, utilizing, and sharing them.

[0003] Knowledge management is a method for capturing, organizing, storing and retrieving knowledge assets within an organization to promote knowledge sharing and innovation. The field of engineering consulting involves professional consulting services for various engineering projects, covering construction, infrastructure, environmental engineering, etc. Project review is a key practice in the engineering industry, which is used to review and summarize project experience to improve the efficiency and quality of future projects. The field of system integration involves the integration of data and processes between different systems to achieve more efficient business operations. Knowledge graph application is a structured knowledge representation method that facilitates the visualization and intelligent retrieval of knowledge. Indicator retrieval is a method for querying and analyzing structured data, and is often used to extract information about specific indicators from large amounts of data.

[0004] In the field of engineering consulting, the effective combination of knowledge management and project review is crucial. By closely linking project review with business systems, the inflow and outflow of knowledge can be better achieved. The inflow of knowledge refers to the integration of project experience, data and documents into the knowledge management system through project review. Diversified application methods enable knowledge to flow out, such as using knowledge graphs and indicator retrieval to apply knowledge to various innovative applications, including intelligent decision support, risk management, project planning, etc. As an important link, project review helps to review and summarize the project implementation process, identify problems, improve practices, and provide lessons learned for similar projects in the future. However, traditional project review is limited by information fragmentation and knowledge silos, and the review results are usually not comprehensive and accurate. Summary of the invention

[0005] In view of the above-mentioned deficiencies in the prior art, the present invention provides a knowledge management method and system for an engineering consulting enterprise embedded in a business process, and also provides a corresponding computer terminal and a computer-readable storage medium.

[0006] According to one aspect of the present invention, there is provided a knowledge management method for an engineering consulting enterprise embedded in a business process, comprising:

[0007] Obtain the business data generated in the engineering consulting project through project review, extract knowledge information related to engineering consulting, business processes and projects from the business data, and build a targeted knowledge base containing unstructured knowledge information and structured knowledge information;

[0008] Adopting knowledge graph construction technology, the unstructured knowledge information in the targeted knowledge base is associated to form a knowledge graph to support project review and various knowledge applications;

[0009] Through the set indicators, the structured knowledge information in the targeted knowledge base is searched to locate and obtain the required information to support specific project data queries.

[0010] According to another aspect of the present invention, there is provided an engineering consulting enterprise knowledge management system embedded in a business process, comprising:

[0011] Data collection module, which obtains business data generated in engineering consulting projects through project review, extracts knowledge information related to engineering consulting, business processes and projects from the business data, and builds a targeted knowledge base containing unstructured knowledge information and structured knowledge information;

[0012] The knowledge graph module uses the knowledge graph construction technology to associate the unstructured knowledge information in the targeted knowledge base to form a knowledge graph to support project review and various knowledge applications;

[0013] The indicator retrieval module searches the structured knowledge information in the targeted knowledge base through the set indicators, locates and obtains the required information, and is used to support specific project data query.

[0014] According to a third aspect of the present invention, there is provided a computer terminal comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, can be used to execute the method described above in the present invention, or to run the system described above in the present invention.

[0015] According to a fourth aspect of the present invention, there is provided a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, can be used to execute the method described above in the present invention, or to run the system described above in the present invention.

[0016] Due to the adoption of the above technical solution, the present invention has at least one of the following beneficial effects compared with the prior art:

[0017] The present invention is aimed at the system integration of engineering consulting and knowledge management. For engineering consulting, it focuses on the review and management of engineering projects, including engineering design, consulting, construction, management and other links; for knowledge management, it better meets the knowledge management needs of engineering consulting companies through knowledge acquisition, knowledge organization, knowledge storage, knowledge retrieval and knowledge application. Based on this, the present invention organically combines engineering consulting with knowledge management, and realizes the orderly collection, efficient use and diversified circulation of knowledge.

[0018] The present invention embeds knowledge management into the business process, which can promote the inflow of knowledge during the project review process, while diversified applications promote the outflow of knowledge, allowing knowledge to flow in and out during the project cycle.

[0019] The present invention adopts two main application modes: knowledge graph of unstructured data and index retrieval of structured data; for unstructured data, the system collects and cleans data through natural language processing technology, builds knowledge graph, and supports project review and various knowledge applications, such as intelligent push and intelligent question and answer; for structured data, the system provides flexible index retrieval application. These innovative methods enable engineering consulting companies to better manage and use knowledge resources and improve decision support and business innovation capabilities. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings:

[0021] Figure 1 The present invention is a workflow diagram of a knowledge management method for an engineering consulting enterprise embedded in a business process in one embodiment of the present invention.

[0022] Figure 2 The present invention is a schematic diagram of the components of a knowledge management system for an engineering consulting enterprise embedded with a business process in one embodiment of the present invention.

[0023] Figure 3 The figure is a schematic diagram of the working interface of indicator retrieval in a specific application example of the present invention; wherein (a) is a keyword setting interface, (b) is a numerical range setting interface, and (c) is an indicator retrieval result interface. DETAILED DESCRIPTION

[0024] The following is a detailed description of the embodiments of the present invention: This embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation method and a specific operation process are given. It should be pointed out that for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention.

[0025] In the prior art, project review is limited by information fragmentation and knowledge silos, and the review results are usually not comprehensive and accurate. In this context, in order to effectively respond to the challenges in the field of engineering consulting, an embodiment of the present invention provides a knowledge management method for engineering consulting companies embedded in business processes. This method embeds an efficient knowledge management system to build a comprehensive knowledge management ecological technology, aiming to solve the problem of knowledge management and business process integration of engineering consulting companies, introduce project review to capture experience, and use knowledge graphs and indicator retrieval technology to achieve efficient knowledge inflow and diversified outflow.

[0026] Specifically, Figure 1 As shown, the engineering consulting enterprise knowledge management method embedded in the business process provided by this embodiment may include the following operations:

[0027] S1, obtain the business data generated in the engineering consulting project through project review, extract the knowledge information related to engineering consulting, business process and project from the business data, and build a targeted knowledge base containing unstructured knowledge information and structured knowledge information;

[0028] S2, using knowledge graph construction technology to associate unstructured knowledge information in targeted knowledge bases to form a knowledge graph to support project review and various knowledge applications;

[0029] S3, through the set indicators, searches the structured knowledge information in the targeted knowledge base to locate and obtain the required information to support specific project data queries.

[0030] In some preferred implementations, the above S1, obtaining business data generated in the engineering consulting project through project review, extracting knowledge information related to engineering consulting, business processes and projects from the business data, and constructing a targeted knowledge base containing unstructured knowledge information and structured knowledge information, may further include the following operations:

[0031] S11, obtain the business data generated in the engineering consulting project through project review, use natural language processing technology to extract various technical knowledge information and experience knowledge information of the engineering consulting industry from the business data as unstructured knowledge information, extract key information related to the business process and project-specified technical information from the business data, and convert them into structured knowledge information;

[0032] S12, using unstructured knowledge information and structured knowledge information to construct a targeted knowledge base.

[0033] In some preferred implementations, the above S1 may further include the following operations:

[0034] S13, review business data and targeted knowledge base.

[0035] In some preferred implementations, the above S2, using knowledge graph construction technology to associate unstructured knowledge information in the targeted knowledge base to form a knowledge graph, may further include the following operations:

[0036] S21, organize, classify and label the unstructured knowledge information in the targeted knowledge base to obtain knowledge samples;

[0037] S22, using knowledge graph construction technology, associates knowledge samples in a multi-dimensional manner to form a knowledge graph with association relationships.

[0038] In some preferred implementations, the above S22, forming a knowledge graph with association relationships, may further include any one or more of the following:

[0039] -Based on the knowledge process map, the summary content in the unstructured knowledge information is incorporated into the knowledge process map; the summary content is clustered according to the project type and product type, and a knowledge map is constructed to reveal the relationship between documents;

[0040] -Based on the keywords and tags in unstructured knowledge information, a keyword-based knowledge graph is constructed to describe the co-occurrence relationship between document-keyword & tag-document;

[0041] - Obtain the equipment or materials used by the project in the unstructured knowledge information, perform reverse clustering, and build a knowledge graph to describe the relationship between equipment or materials and projects.

[0042] In the above preferred implementation manner, the knowledge process map is formed by formatting the work nodes in the project implementation process and the key points and deliverables of each node according to the enterprise business guidance manual.

[0043] In the above preferred implementation, reverse clustering means that when different projects use the same device, these projects can be associated based on the device to form a list of project data using the device.

[0044] In some preferred implementations, the above S3, searching the structured knowledge information in the targeted knowledge base by the set index to locate and obtain the required information, may further include the following operations:

[0045] S31, setting a keyword or a numerical range as an index for retrieval;

[0046] S32, using indicators, searching the structured knowledge information in the targeted knowledge base to locate and obtain the required information.

[0047] In some preferred implementations, the above S3 may further include the following operations:

[0048] S33, based on the user's search history, uses machine learning technology to analyze the search behavior of the indicators used for search, obtains other relevant structured knowledge information, and makes recommendations.

[0049] In the above preferred embodiment of the present invention:

[0050] By introducing project review, embedding business processes and building a knowledge graph for the engineering consulting industry, various key knowledge and experiences are represented in the form of a graph to achieve efficient organization and retrieval of knowledge. At the same time, indicator retrieval is used to search and locate the required information.

[0051] This method takes the project as the core, builds a knowledge graph, and realizes intelligent search and positioning based on indicator retrieval. It has the following characteristics:

[0052] Knowledge inflow: The project review process is the main way for knowledge inflow. Through summarizing, analyzing and generalizing the project, the results and experience gained in practice are integrated into knowledge information, making it an important data basis for the method.

[0053] Diversified applications promote knowledge outflow: Diversified application scenarios, including index retrieval and knowledge graphs, promote knowledge outflow. These applications present knowledge in different ways and provide users with rich and diverse knowledge services.

[0054] Knowledge graph for the engineering consulting industry: Using advanced knowledge graph construction technology, the multi-dimensional knowledge in the engineering field is structured and integrated to form an intuitive and intelligent graph, which facilitates users to quickly acquire, understand and apply knowledge in the engineering field, thereby improving work efficiency.

[0055] Indicator retrieval: Through a convenient and personalized indicator retrieval system, project data can be quickly retrieved and located, further enhancing the effect of knowledge outflow. Users can easily query specific project data to support decision-making and practical application.

[0056] Based on the same inventive concept, an embodiment of the present invention also provides an engineering consulting enterprise knowledge management system embedded in a business process.

[0057] Specifically, Figure 2 As shown, the engineering consulting enterprise knowledge management system embedded in the business process provided by this embodiment may include the following modules:

[0058] Data collection module, which obtains business data generated in engineering consulting projects through project review, extracts knowledge information related to engineering consulting, business processes and projects from the business data, and builds a targeted knowledge base containing unstructured knowledge information and structured knowledge information;

[0059] Knowledge graph module: This module uses knowledge graph construction technology to associate unstructured knowledge information in targeted knowledge bases to form a knowledge graph to support project review and various knowledge applications;

[0060] The indicator retrieval module searches the structured knowledge information in the targeted knowledge base through the set indicators, locates the required information, and is used to support specific project data queries.

[0061] The following further describes in detail the work content to be achieved by each functional module of the engineering consulting enterprise knowledge management system embedded in the business process provided by this embodiment.

[0062] The data collection module is used to realize knowledge collection and business processing. Based on modern information technology, this module can collect and summarize a large amount of data generated in engineering consulting projects through project review. Through natural language processing and other technologies, the key information related to the business process and the technical information specified by the project in these data are converted into structured data. At the same time, the unstructured knowledge information about various technical knowledge information and experience knowledge information of the engineering consulting industry is identified and extracted to form a targeted knowledge base.

[0063] The knowledge graph module uses knowledge graph construction technology to associate elements such as keywords and tags in business processing in a multi-dimensional manner. By organizing, classifying and labeling knowledge, a knowledge graph with rich associations is formed. This allows users to browse and retrieve project-related knowledge through various channels and in multiple dimensions, thereby improving the efficiency and quality of knowledge acquisition.

[0064] The indicator search module allows users to search the targeted knowledge base by entering specific keywords or numerical ranges, so as to quickly locate the required information. Furthermore, based on the user's search history and through machine learning technology, the system can also analyze the user's search behavior and recommend relevant indicators, cases, best practices, etc. to the user, helping the user to obtain the required information more quickly.

[0065] The above system can be deployed on smart mobile terminals to realize various applications such as intelligent question and answer, intelligent push, knowledge community, knowledge map, equipment library and material library. The modules work together to make the system fluid and comprehensive, which helps to closely integrate project knowledge with business processes and improve the efficiency and innovation ability of engineering consulting business.

[0066] It should be noted that the steps in the method provided by the present invention can be implemented by using the corresponding components in the system, and those skilled in the art can refer to the technical solution of the system to implement the step flow of the method, and can also refer to the technical solution of the method to implement the composition of the system, that is, the embodiments in the system and the embodiments in the method can be understood as preferred examples of each other, which will not be elaborated here.

[0067] The technical solution provided by the above embodiment of the present invention is further described in detail below in conjunction with a specific application example.

[0068] This specific application example is based on the technical solution provided by the above embodiment of the present invention, and implements the following steps:

[0069] Step 1: Knowledge Collection

[0070] The present invention completes the collection of enterprise business results through the project review function. Project review is a project-oriented knowledge collection action, which is divided into three stages: knowledge collection plan formulation; knowledge results collection; and display in the knowledge management system after knowledge review.

[0071] (1) By default, the knowledge collection plan page presents all collection items. Users can select different collection items according to their actual needs, fill in the corresponding collection time and complete the submission.

[0072] (2) After the knowledge collection plan is reviewed and approved, the user will submit and upload the corresponding knowledge results based on the different collection items.

[0073] (3) According to the review process, once all knowledge achievements have been reviewed and approved, the project review is completed and the relevant knowledge achievements can be displayed and shared on the front desk of the knowledge management system.

[0074] Step 2: Knowledge Application

[0075] The knowledge application functions include knowledge graph and index retrieval. Among them, the knowledge graph provides a graph visualization display of the search content based on the user's active search of knowledge base resources, and can intuitively provide the related information of the retrieved knowledge.

[0076] (1) Based on the knowledge history graph, a graph is constructed to reveal the relationship between documents and display it visually.

[0077] 1) Use the knowledge process map as the knowledge system, and incorporate management summary and key technology summary into the knowledge system during the project review process.

[0078] 2) When summarizing management and key technologies, documents are automatically clustered and visualized based on the graph system, project type, and product type to reveal the relationship between documents.

[0079] (2) Keyword-based graph application

[0080] Based on the keywords and tags in all documents in the knowledge management system, a graph is constructed to establish the co-occurrence relationship between documents, keywords, tags and documents, and visualize the relationship between documents.

[0081] (3) Project map application based on equipment / material library

[0082] Based on the equipment library and material library, an equipment (or material)-project map system is automatically created.

[0083] 1) Through the project review process, the equipment (or materials) used in the project are collected, and the system automatically reversely clusters and builds a map of equipment (or materials)-projects.

[0084] 2) Through visual maps, the application of a single device (or material) in different types of engineering projects can be more clearly displayed.

[0085] (4) For the collected structured indicator data, select the search indicator item (or combination), select the output indicator item (or project), and perform indicator search. According to the search strategy defined by the user in the indicator search function, the output result table and data are dynamically generated. Figure 3 As shown in (a) to (c), the user searches for the total building area of ​​1000m in the knowledge management system. 2 -100000m 2 Take the residential building project list as an example:

[0086] 1) First, the user sets the keyword "area" and then selects "residential building" in the business scope.

[0087] 2) The user selects "total building area" according to the preset indicator items, sets the minimum value of the search range to 1000 and the maximum value to 100000, and obtains all minimum and maximum values ​​related to the building area.

[0088] An embodiment of the present invention further provides a computer terminal, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the processor can be used to execute any method of the above-mentioned embodiments of the present invention, or to run any system of the above-mentioned embodiments of the present invention.

[0089] Optionally, the memory is used to store programs; the memory may include volatile memory (English: volatile memory), such as random-access memory (English: random-access memory, abbreviated: RAM), such as static random-access memory (English: static random-access memory, abbreviated: SRAM), double data rate synchronous dynamic random access memory (English: Double Data Rate Synchronous Dynamic Random Access Memory, abbreviated: DDR SDRAM), etc.; the memory may also include non-volatile memory (English: non-volatile memory), such as flash memory (English: flash memory). The memory is used to store computer programs (such as applications, functional modules, etc. that implement the above method), computer instructions, etc., and the above computer programs, computer instructions, etc. can be partitioned and stored in one or more memories. And the above computer programs, computer instructions, data, etc. can be called by the processor.

[0090] The processor is used to execute the computer program stored in the memory to implement the various steps of the method or various modules of the system involved in the above embodiments. For details, please refer to the relevant descriptions in the above method and system embodiments.

[0091] The processor and the memory may be independent structures or integrated structures. When the processor and the memory are independent structures, the memory and the processor may be coupled and connected via a bus.

[0092] An embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, it can be used to execute any method of the above embodiments of the present invention, or to run any system of the above embodiments of the present invention.

[0093] Among them, computer-readable media include computer storage media and communication media, wherein the communication media include any media that facilitates the transmission of computer programs from one place to another. The storage medium can be any available medium that can be accessed by a general or special-purpose computer. An exemplary storage medium is coupled to the processor so that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium can also be an integral part of the processor. The processor and the storage medium can be located in an ASIC. In addition, the ASIC can be located in a user device. Of course, the processor and the storage medium can also be present in a communication device as discrete components.

[0094] All matters not covered in the above embodiments of the present invention are well known in the art.

[0095] The above describes the specific embodiments of the present invention. It should be understood that the present invention is not limited to the above specific embodiments, and those skilled in the art may make various modifications or variations within the scope of the claims, which do not affect the essence of the present invention.

Claims

1. A knowledge management method for engineering consulting enterprises embedded in business processes, characterized in that: include: Obtain the business data generated in the engineering consulting project through project review, extract knowledge information related to engineering consulting, business processes and projects from the business data, and build a targeted knowledge base containing unstructured knowledge information and structured knowledge information; Adopting knowledge graph construction technology, the unstructured knowledge information in the targeted knowledge base is associated to form a knowledge graph to support project review and various knowledge applications; Through the set indicators, the structured knowledge information in the targeted knowledge base is searched to locate and obtain the required information to support specific project data queries.

2. The engineering consulting enterprise knowledge management method embedded in business process according to claim 1 is characterized in that: The business data generated in the engineering consulting project is obtained through project review, and knowledge information related to engineering consulting, business processes and projects is extracted from the business data to build a targeted knowledge base containing unstructured knowledge information and structured knowledge information, including: Obtain the business data generated in the engineering consulting project through project review, and use natural language processing technology to extract various technical knowledge information and experience knowledge information of the engineering consulting industry from the business data as unstructured knowledge information, extract key information related to the business process and project-specified technical information from the business data, and convert them into structured knowledge information; A targeted knowledge base is constructed by utilizing the unstructured knowledge information and the structured knowledge information.

3. The engineering consulting enterprise knowledge management method embedded in business process according to claim 2 is characterized in that: Also includes: The business data and the targeted knowledge base are reviewed.

4. The engineering consulting enterprise knowledge management method embedded in business process according to claim 1 is characterized in that: The knowledge graph construction technology is used to associate the unstructured knowledge information in the targeted knowledge base to form a knowledge graph, including: Organizing, classifying and labeling the unstructured knowledge information in the targeted knowledge base to obtain a knowledge sample; The knowledge graph construction technology is used to associate the knowledge samples in a multi-dimensional manner to form a knowledge graph with associated relationships.

5. The engineering consulting enterprise knowledge management method embedded in business process according to claim 4 is characterized in that: The forming of the knowledge graph with association relationships includes any one or more of the following: - Based on the knowledge history graph, the summary content in the unstructured knowledge information is incorporated into the knowledge history graph; the summary content is clustered according to the engineering type and product type, and a knowledge graph is constructed to reveal the relationship between documents; -Based on the keywords and tags in the unstructured knowledge information, a keyword-based knowledge graph is constructed to describe the co-occurrence relationship between document-keyword & tag-document; - Obtain the equipment or materials used by the items in the unstructured knowledge information, perform reverse clustering, and construct a knowledge graph for describing the relationship between equipment or materials and items.

6. The engineering consulting enterprise knowledge management method embedded in business process according to claim 1 is characterized in that: The structured knowledge information in the targeted knowledge base is searched by the set index to locate and obtain the required information, including: Set keywords or numerical ranges as search indicators; The index is used to search the structured knowledge information in the targeted knowledge base to locate and obtain the required information.

7. The engineering consulting enterprise knowledge management method embedded in business process according to claim 6 is characterized in that: Also includes: Based on the user's search history, the search behavior of the index used for search is analyzed through machine learning technology, other relevant structured knowledge information is obtained, and recommendations are made.

8. A knowledge management system for engineering consulting enterprises embedded in business processes, characterized in that: include: Data collection module, which obtains business data generated in engineering consulting projects through project review, extracts knowledge information related to engineering consulting, business processes and projects from the business data, and builds a targeted knowledge base containing unstructured knowledge information and structured knowledge information; The knowledge graph module uses the knowledge graph construction technology to associate the unstructured knowledge information in the targeted knowledge base to form a knowledge graph to support project review and various knowledge applications; The indicator retrieval module searches the structured knowledge information in the targeted knowledge base through the set indicators, locates and obtains the required information, and is used to support specific project data query.

9. A computer terminal comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, it can be used to perform the method described in any one of claims 1 to 7, or to run the system described in claim 8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, it can be used to perform the method described in any one of claims 1 to 7, or to run the system described in claim 8.

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