CN117217676A - Intelligent management system and method for engineering construction project - Google Patents
Intelligent management system and method for engineering construction project Download PDFInfo
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- CN117217676A CN117217676A CN202310959723.3A CN202310959723A CN117217676A CN 117217676 A CN117217676 A CN 117217676A CN 202310959723 A CN202310959723 A CN 202310959723A CN 117217676 A CN117217676 A CN 117217676A
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Abstract
The application discloses an intelligent management system and method for engineering construction projects, which mainly relate to the technical field of engineering construction project management and are used for solving the problems that existing engineering construction project data cannot be completely shared, creation tasks mainly depend on manpower, and data consistency is poor. Comprising the following steps: the progress management module is used for acquiring uploaded project contract data; automatically generating a progress management task through an analysis algorithm and project contract data; the quality management module is used for generating quality management tasks corresponding to the progress management tasks; determining a finishing terminal corresponding to the quality management task; the fund binding module is used for acquiring fund account information and binding a fund binding task with a progress management task; the project management module is used for determining whether the quality management task or the fund binding task is delayed or not according to the progress completion time in the progress management task and the constraint relation among preset tasks; and generating a progress reminding message to the task scheduling terminal when the time delay is delayed.
Description
Technical Field
The application relates to the technical field of intelligent management of engineering construction projects, in particular to an intelligent management system and method for engineering construction projects.
Background
The engineering construction project unit needs to fulfill the responsibility tasks of annual investment planning, fund raising and use, project organization implementation, completion acceptance, financial resolution and the like, and also needs to realize supervision and management on project construction period, quality, progress, safety, investment, files and the like, so that the task is heavy and difficult, and the construction informatization management platform has great significance in realizing electronic supervision.
Contract implementation is important content in project management, and various social relations formed by behaviors of each participating party in the construction process form contract legal relations. The platform contract management comprises a plurality of contract types such as construction contract, design contract, supervision contract, monitoring contract, equipment purchase contract, technical service contract and the like, and informatization means are provided for contract management such as project bidding and purchase.
The existing engineering construction project management mainly adopts a management mode of summarizing the subsection doors. However, the construction project management relates to various businesses such as quality, progress, safety and the like, each department is responsible for a plurality of people, the staff is careful, and various generated business data are scattered. Along with the development of project construction process, all data cannot be completely shared, and the direct utilization rate of the data is low; in addition, the process of creating engineering construction project data into tasks needs to be manually participated, different people input contents have differences, the problems of poor data consistency and the like exist, and a data basis for correct decision making cannot be provided for management staff.
Disclosure of Invention
Aiming at the defects of the prior art, the application provides an intelligent management system and method for engineering construction projects, which are used for solving the problems that the existing engineering construction project data cannot be completely shared, the creation task mainly depends on manpower, and the data consistency is poor.
In a first aspect, the present application provides an intelligent management system for an engineering construction project, the system comprising: the progress management module is used for acquiring uploaded project contract data; the type of the project contract data comprises project text data and project picture data; determining the type of project contract data to obtain an analysis algorithm corresponding to the type; automatically generating a progress management task through an analysis algorithm and project contract data; acquiring progress completion time corresponding to a progress management task; the quality management module is used for generating quality management tasks corresponding to the progress management tasks after the progress completion time is obtained; determining a completion terminal corresponding to a quality management task through a preset quality management interface; the fund binding module is used for acquiring fund account information, generating a fund binding task and binding the fund binding task with the progress management task; the project management module is used for acquiring a progress management task, a quality management task and a fund binding task; determining whether a quality management task or a fund binding task is delayed or not according to the progress completion time in the progress management task and a constraint relation among preset tasks; and generating a progress reminding message to the task scheduling terminal when the time delay is delayed.
Further, the progress management module comprises an algorithm processing unit and a data acquisition unit; the algorithm processing unit is used for determining the type of the project contract data according to the data format of the project contract data; when the type is the project text data, a semantic analysis algorithm is acquired to determine the number of projects, the names of the projects, the types of the projects, the responsible persons of the projects and the corresponding text fragments of the projects contained in the project text data so as to generate a plurality of progress management tasks; when the type is the project picture data, a picture-to-text algorithm is acquired to determine project text data corresponding to project contract data; acquiring a semantic analysis algorithm to determine the number of items, the names of the items, the types of the items, the responsible persons of the items and the corresponding text fragments of the items contained in the item text data so as to generate a plurality of progress management tasks; the data acquisition unit is used for acquiring the uploaded progress completion time through a preset progress management task editing interface, and acquiring the number of projects, the names of the projects, the types of the projects, the responsible persons of the projects and the modification contents corresponding to the corresponding text fragments of the projects.
Further, the quality management module comprises a task generating unit for acquiring the item type and the item corresponding text segment in the progress management task; determining a generation template corresponding to the quality management task through the item type; and extracting specific contents corresponding to the keywords from the text fragments corresponding to the items through keywords in the generating templates and a keyword extraction algorithm so as to automatically fill in the generating templates and further generate quality management tasks.
Further, the fund binding module includes a fund reconciliation unit; the method comprises the steps that when fund accounting information is acquired, project names of progress management tasks of remarks in the fund accounting information are acquired; and generating a fund binding task and binding a progress management task corresponding to the project name.
Further, the system also comprises a file management module; the file management module is used for acquiring the uploaded bulletin file data and the user terminal information accessed by the system; wherein, the user terminal information comprises reading authority; determining the reading authority corresponding to the bulletin file data according to a semantic analysis algorithm; and sending the notice file data to the user terminal with the reading authority.
In a second aspect, the present application provides an intelligent management method for an engineering construction project, the method comprising: acquiring uploaded project contract data; the type of the project contract data comprises project text data and project picture data; determining the type of project contract data to obtain an analysis algorithm corresponding to the type; automatically generating a progress management task through an analysis algorithm and project contract data; acquiring progress completion time corresponding to a progress management task; after the progress completion time is obtained, generating a quality management task corresponding to the progress management task; determining a completion terminal corresponding to a quality management task through a preset quality management interface; acquiring fund account information, generating a fund binding task, and binding the fund binding task with a progress management task; acquiring a progress management task, a quality management task and a fund binding task; determining whether a quality management task or a fund binding task is delayed or not according to the progress completion time in the progress management task and a constraint relation among preset tasks; and generating a progress reminding message to the task scheduling terminal when the time delay is delayed.
Further, determining the type of the project contract data to obtain an analysis algorithm corresponding to the type; automatically generating a progress management task through an analysis algorithm and project contract data, wherein the progress management task comprises the following steps of: determining the type of the project contract data according to the data format of the project contract data; when the type is the project text data, a semantic analysis algorithm is acquired to determine the number of projects, the names of the projects, the types of the projects, the responsible persons of the projects and the corresponding text fragments of the projects contained in the project text data so as to generate a plurality of progress management tasks; when the type is the project picture data, a picture-to-text algorithm is acquired to determine project text data corresponding to project contract data; and acquiring a semantic analysis algorithm to determine the number of the projects, the names of the projects, the types of the projects, the responsible persons of the projects and the corresponding text fragments of the projects contained in the project text data so as to generate a plurality of progress management tasks.
Further, after the progress completion time is obtained, generating a quality management task corresponding to the progress management task, which specifically includes: acquiring item types and corresponding text fragments of the items in the progress management task; determining a generation template corresponding to the quality management task through the item type; and extracting specific contents corresponding to the keywords from the text fragments corresponding to the items through keywords in the generating templates and a keyword extraction algorithm so as to automatically fill in the generating templates and further generate quality management tasks.
Further, acquiring fund account information, generating a fund binding task, and binding the fund binding task with a progress management task, wherein the method specifically comprises the following steps: when the fund accounting information is acquired, acquiring the project name of the progress management task of remarks in the fund accounting information; and generating a fund binding task and binding a progress management task corresponding to the project name.
Further, the method further comprises: acquiring uploaded bulletin file data and user terminal information accessed by a system; wherein, the user terminal information comprises reading authority; determining the reading authority corresponding to the bulletin file data according to a semantic analysis algorithm; and sending the notice file data to the user terminal with the reading authority.
As will be appreciated by those skilled in the art, the present application has at least the following beneficial effects:
the application obtains the uploaded project contract data through the progress management module and automatically generates the progress management task through an analysis algorithm. The method solves the problems that different people input contents and data consistency is poor. Automatically generating a quality management task through a quality management module; and the progress management task and the quality management task are associated, so that the technical problem of manual association errors is avoided. The fund binding task and the progress management task are automatically bound through the fund binding module. The project management module is used for automatically monitoring whether the progress management task, the quality management task and the fund binding task are delayed or not, and effective monitoring of engineering construction projects is realized.
Drawings
Some embodiments of the present disclosure are described below with reference to the accompanying drawings, in which:
fig. 1 is a schematic diagram of an internal structure of an intelligent management system for engineering construction projects according to an embodiment of the present application.
FIG. 2 is a flowchart of an intelligent management method for engineering construction projects according to an embodiment of the present application.
Detailed Description
It should be understood by those skilled in the art that the embodiments described below are only preferred embodiments of the present disclosure, and do not represent that the present disclosure can be realized only by the preferred embodiments, which are merely for explaining the technical principles of the present disclosure, not for limiting the scope of the present disclosure. Based on the preferred embodiments provided by the present disclosure, all other embodiments that may be obtained by one of ordinary skill in the art without inventive effort shall still fall within the scope of the present disclosure.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises an element.
The following describes the technical scheme provided by the embodiment of the application in detail through the attached drawings.
Fig. 1 is a schematic diagram of an intelligent management system for engineering projects according to an embodiment of the present application. As shown in fig. 1, the system provided by the embodiment of the present application mainly includes:
acquiring uploaded project contract data through the progress management module 110; determining the type of project contract data to obtain an analysis algorithm corresponding to the type; automatically generating a progress management task through an analysis algorithm and project contract data; and obtaining the progress completion time corresponding to the progress management task.
The progress management module 110 is any feasible device or apparatus capable of reading data, calling an analysis algorithm to generate a progress management task, and editing the progress management task.
The types of the project contract data include project text data and project picture data. The method for acquiring the uploaded project contract data may be to acquire the uploaded project contract data through a preset project contract data uploading interface. The parsing algorithm can be a semantic analysis algorithm, a picture-to-text algorithm and the like.
The method for determining the type of the project contract data to obtain the resolution algorithm corresponding to the type may specifically be: determining, by the algorithm processing unit 111 in the progress management module 110, the type of the project contract data according to the data format of the project contract data by the algorithm processing unit 111; when the type is the project text data, a semantic analysis algorithm is acquired to determine the number of projects, the names of the projects, the types of the projects, the responsible persons of the projects and the corresponding text fragments of the projects contained in the project text data so as to generate a plurality of progress management tasks; when the type is the project picture data, a picture-to-text algorithm is acquired to determine project text data corresponding to project contract data; and acquiring a semantic analysis algorithm to determine the number of the projects, the names of the projects, the types of the projects, the responsible persons of the projects and the corresponding text fragments of the projects contained in the project text data so as to generate a plurality of progress management tasks.
The algorithm processing unit 111 may be any feasible device or apparatus capable of calling the algorithm to perform data processing. The semantic analysis algorithm may be specifically: convolutional neural network algorithms. The method for determining to obtain the plurality of progress management tasks through the semantic analysis algorithm may specifically be that paragraphs of the included project progress data are determined through the semantic analysis algorithm, the paragraphs of the included project progress data are segmented through the semantic analysis algorithm, and the project progress data are divided (corresponding text fragments of the project). The method of determining the paragraphs of the project progress data through the semantic analysis algorithm can be implemented through the existing method, and the application is not limited to this.
In addition, the application can also modify the generated progress management task. As an example, the uploaded progress completion time is acquired through a preset progress management task editing interface of the data acquisition unit 112 in the progress management module 110, and the modified contents corresponding to the number of items, the item name, the item type, the item responsible person, and the item corresponding text segment are acquired.
After the progress management task is obtained, consistency of the subsequent quality management task is achieved.
After the progress completion time is obtained, a quality management task corresponding to the progress management task is generated through the quality management module 120; and determining a finished terminal corresponding to the quality management task through a preset quality management interface.
The quality management module 120 may be any feasible device or apparatus capable of generating and issuing quality management tasks.
The quality management task corresponding to the progress management task generated by the quality management module 120 may be specifically: acquiring the item type and the item corresponding text segment in the progress management task through a task generating unit 121 in the quality management module 120; determining a generation template corresponding to the quality management task through the item type; and extracting specific contents corresponding to the keywords from the text fragments corresponding to the items through keywords in the generating templates and a keyword extraction algorithm so as to automatically fill in the generating templates and further generate quality management tasks.
And acquiring fund accounting information through a fund binding module 130, generating a fund binding task, and binding the fund binding task with a progress management task.
As an example, upon acquiring the fund accounting information, the project name of the progress management task of the remark in the fund accounting information is acquired through the fund accounting unit 131 in the fund binding module 130; and generating a fund binding task and binding a progress management task corresponding to the project name.
In order to achieve effective monitoring of each task, progress management tasks, quality management tasks, and fund binding tasks are obtained through the project management module 140; determining whether a quality management task or a fund binding task is delayed or not according to the progress completion time in the progress management task and a constraint relation among preset tasks; and generating a progress reminding message to the task scheduling terminal when the time delay is delayed.
It should be noted that, the constraint relation between preset tasks is any feasible condition capable of constraining the completion time of the quality management task and the fund binding task.
In addition, the application can also limit and announce the uploaded public file data,
as an example, the uploaded bulletin file data and the user terminal information accessed by the system are obtained through a file management module; wherein, the user terminal information comprises reading authority; determining the reading authority corresponding to the bulletin file data according to a semantic analysis algorithm; and sending the notice file data to the user terminal with the reading authority.
In addition, the embodiment of the application also provides an intelligent management method for engineering construction projects, as shown in fig. 2, the method provided by the embodiment of the application mainly comprises the following steps:
step 210, acquiring uploaded project contract data; determining the type of project contract data to obtain an analysis algorithm corresponding to the type; automatically generating a progress management task through an analysis algorithm and project contract data; and obtaining the progress completion time corresponding to the progress management task.
The types of the project contract data include project text data and project picture data.
Determining the type of project contract data to obtain an analysis algorithm corresponding to the type; the progress management task is automatically generated by an analysis algorithm and project contract data, and specifically can be:
determining the type of the project contract data according to the data format of the project contract data; when the type is the project text data, a semantic analysis algorithm is acquired to determine the number of projects, the names of the projects, the types of the projects, the responsible persons of the projects and the corresponding text fragments of the projects contained in the project text data so as to generate a plurality of progress management tasks; when the type is the project picture data, a picture-to-text algorithm is acquired to determine project text data corresponding to project contract data; and acquiring a semantic analysis algorithm to determine the number of the projects, the names of the projects, the types of the projects, the responsible persons of the projects and the corresponding text fragments of the projects contained in the project text data so as to generate a plurality of progress management tasks.
Step 220, after obtaining the progress completion time, generating a quality management task corresponding to the progress management task; and determining a finished terminal corresponding to the quality management task through a preset quality management interface.
After the progress completion time is obtained, a quality management task corresponding to the progress management task is generated, which may specifically be:
acquiring item types and corresponding text fragments of the items in the progress management task; determining a generation template corresponding to the quality management task through the item type; and extracting specific contents corresponding to the keywords from the text fragments corresponding to the items through keywords in the generating templates and a keyword extraction algorithm so as to automatically fill in the generating templates and further generate quality management tasks.
Step 230, acquiring fund account information, generating a fund binding task, and binding the fund binding task with a progress management task.
As an example, acquiring fund posting information, generating a fund binding task, and binding the fund binding task with a progress management task, which specifically includes: when the fund accounting information is acquired, acquiring the project name of the progress management task of remarks in the fund accounting information; and generating a fund binding task and binding a progress management task corresponding to the project name.
Step 240, acquiring a progress management task, a quality management task and a fund binding task; determining whether a quality management task or a fund binding task is delayed or not according to the progress completion time in the progress management task and a constraint relation among preset tasks; and generating a progress reminding message to the task scheduling terminal when the time delay is delayed.
The method further comprises the steps of: acquiring uploaded bulletin file data and user terminal information accessed by a system; wherein, the user terminal information comprises reading authority; determining the reading authority corresponding to the bulletin file data according to a semantic analysis algorithm; and sending the notice file data to the user terminal with the reading authority.
Thus far, the technical solution of the present disclosure has been described in connection with the foregoing embodiments, but it is easily understood by those skilled in the art that the protective scope of the present disclosure is not limited to only these specific embodiments. The technical solutions in the above embodiments may be split and combined by those skilled in the art without departing from the technical principles of the present disclosure, and equivalent modifications or substitutions may be made to related technical features, which all fall within the scope of the present disclosure.
Claims (10)
1. An intelligent management system for an engineering construction project, the system comprising:
the progress management module is used for acquiring uploaded project contract data; the type of the project contract data comprises project text data and project picture data; determining the type of project contract data to obtain an analysis algorithm corresponding to the type; automatically generating a progress management task through an analysis algorithm and project contract data; acquiring progress completion time corresponding to a progress management task;
the quality management module is used for generating quality management tasks corresponding to the progress management tasks after the progress completion time is obtained; determining a completion terminal corresponding to a quality management task through a preset quality management interface;
the fund binding module is used for acquiring fund account information, generating a fund binding task and binding the fund binding task with the progress management task;
the project management module is used for acquiring a progress management task, a quality management task and a fund binding task; determining whether a quality management task or a fund binding task is delayed or not according to the progress completion time in the progress management task and a constraint relation among preset tasks; and generating a progress reminding message to the task scheduling terminal when the time delay is delayed.
2. The intelligent management system for engineering construction projects according to claim 1, wherein the parsing algorithm comprises at least a semantic analysis algorithm and a picture-to-text algorithm;
the progress management module comprises an algorithm processing unit and a data acquisition unit;
the algorithm processing unit is used for determining the type of the project contract data according to the data format of the project contract data;
when the type is the project text data, a semantic analysis algorithm is acquired to determine the number of projects, the names of the projects, the types of the projects, the responsible persons of the projects and the corresponding text fragments of the projects contained in the project text data so as to generate a plurality of progress management tasks;
when the type is the project picture data, a picture-to-text algorithm is acquired to determine project text data corresponding to project contract data; acquiring a semantic analysis algorithm to determine the number of items, the names of the items, the types of the items, the responsible persons of the items and the corresponding text fragments of the items contained in the item text data so as to generate a plurality of progress management tasks;
the data acquisition unit is used for acquiring the uploaded progress completion time through a preset progress management task editing interface, and acquiring the number of projects, the names of the projects, the types of the projects, the responsible persons of the projects and the modification contents corresponding to the corresponding text fragments of the projects.
3. The intelligent management system for engineering construction projects according to claim 1, wherein the quality management module includes a task generating unit,
the method comprises the steps of obtaining item types and corresponding text segments of items in a progress management task; determining a generation template corresponding to the quality management task through the item type; and extracting specific contents corresponding to the keywords from the text fragments corresponding to the items through keywords in the generating templates and a keyword extraction algorithm so as to automatically fill in the generating templates and further generate quality management tasks.
4. The intelligent management system for an engineering construction project according to claim 1, wherein the fund binding module includes a fund reconciliation unit;
the method comprises the steps that when fund accounting information is acquired, project names of progress management tasks of remarks in the fund accounting information are acquired; and generating a fund binding task and binding a progress management task corresponding to the project name.
5. The intelligent management system for an engineering construction project according to claim 1, wherein the system further comprises a document management module;
the file management module is used for acquiring the uploaded bulletin file data and the user terminal information accessed by the system; wherein, the user terminal information comprises reading authority; determining the reading authority corresponding to the bulletin file data according to a semantic analysis algorithm; and sending the notice file data to the user terminal with the reading authority.
6. An intelligent management method for engineering construction projects, characterized in that the method comprises the following steps:
acquiring uploaded project contract data; the type of the project contract data comprises project text data and project picture data; determining the type of project contract data to obtain an analysis algorithm corresponding to the type; automatically generating a progress management task through an analysis algorithm and project contract data; acquiring progress completion time corresponding to a progress management task;
after the progress completion time is obtained, generating a quality management task corresponding to the progress management task; determining a completion terminal corresponding to a quality management task through a preset quality management interface;
acquiring fund account information, generating a fund binding task, and binding the fund binding task with a progress management task;
acquiring a progress management task, a quality management task and a fund binding task; determining whether a quality management task or a fund binding task is delayed or not according to the progress completion time in the progress management task and a constraint relation among preset tasks; and generating a progress reminding message to the task scheduling terminal when the time delay is delayed.
7. The intelligent management method for engineering construction projects according to claim 6, wherein the type of project contract data is determined to obtain an analytical algorithm corresponding to the type; automatically generating a progress management task through an analysis algorithm and project contract data, wherein the progress management task comprises the following steps of:
determining the type of the project contract data according to the data format of the project contract data;
when the type is the project text data, a semantic analysis algorithm is acquired to determine the number of projects, the names of the projects, the types of the projects, the responsible persons of the projects and the corresponding text fragments of the projects contained in the project text data so as to generate a plurality of progress management tasks;
when the type is the project picture data, a picture-to-text algorithm is acquired to determine project text data corresponding to project contract data; and acquiring a semantic analysis algorithm to determine the number of the projects, the names of the projects, the types of the projects, the responsible persons of the projects and the corresponding text fragments of the projects contained in the project text data so as to generate a plurality of progress management tasks.
8. The intelligent management method for engineering construction projects according to claim 6, wherein after obtaining the progress completion time, generating a quality management task corresponding to the progress management task, specifically comprising:
acquiring item types and corresponding text fragments of the items in the progress management task;
determining a generation template corresponding to the quality management task through the item type;
and extracting specific contents corresponding to the keywords from the text fragments corresponding to the items through keywords in the generating templates and a keyword extraction algorithm so as to automatically fill in the generating templates and further generate quality management tasks.
9. The intelligent management method for engineering construction projects according to claim 6, wherein the steps of obtaining funds accounting information, generating funds binding tasks, and binding the funds binding tasks with progress management tasks include:
when the fund accounting information is acquired, acquiring the project name of the progress management task of remarks in the fund accounting information; and generating a fund binding task and binding a progress management task corresponding to the project name.
10. The intelligent management method for an engineering construction project according to claim 6, wherein the method further comprises:
acquiring uploaded bulletin file data and user terminal information accessed by a system; wherein, the user terminal information comprises reading authority;
determining the reading authority corresponding to the bulletin file data according to a semantic analysis algorithm; and sending the notice file data to the user terminal with the reading authority.
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