CN113837619A - Project management and monitoring system and implementation method thereof - Google Patents
Project management and monitoring system and implementation method thereof Download PDFInfo
- Publication number
- CN113837619A CN113837619A CN202111132212.1A CN202111132212A CN113837619A CN 113837619 A CN113837619 A CN 113837619A CN 202111132212 A CN202111132212 A CN 202111132212A CN 113837619 A CN113837619 A CN 113837619A
- Authority
- CN
- China
- Prior art keywords
- project
- management
- monitoring
- progress
- planning
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 61
- 238000000034 method Methods 0.000 title claims abstract description 20
- 238000007726 management method Methods 0.000 claims abstract description 85
- 230000002159 abnormal effect Effects 0.000 claims abstract description 18
- 230000000007 visual effect Effects 0.000 claims abstract description 9
- 238000010276 construction Methods 0.000 claims description 31
- 101001095088 Homo sapiens Melanoma antigen preferentially expressed in tumors Proteins 0.000 claims description 5
- 102100037020 Melanoma antigen preferentially expressed in tumors Human genes 0.000 claims description 5
- 238000012163 sequencing technique Methods 0.000 claims description 4
- 238000001514 detection method Methods 0.000 claims description 2
- 238000005311 autocorrelation function Methods 0.000 description 5
- 238000012360 testing method Methods 0.000 description 5
- 238000011160 research Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000009499 grossing Methods 0.000 description 2
- 238000012549 training Methods 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 1
- 230000001174 ascending effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000013178 mathematical model Methods 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 238000001583 randomness test Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06313—Resource planning in a project environment
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Economics (AREA)
- Tourism & Hospitality (AREA)
- Development Economics (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Educational Administration (AREA)
- Game Theory and Decision Science (AREA)
- Data Mining & Analysis (AREA)
- Biodiversity & Conservation Biology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to a project management and monitoring system and an implementation method thereof. The system comprises a planning project workbench unit, a planning project management unit and a data processing unit, wherein various visual reports formed by projects from different latitudes are displayed in a centralized manner, and the visual reports comprise project classification statistical conditions, occupation ratios of different infrastructure project classifications in infrastructure projects, occupation ratios of different types of projects in information projects and occupation ratios of the projects in different stages; the project planning management unit is used for planning project management; the project management is used for self-defining, progress management, document management, contract management and progress money management of project management nodes; the knowledge base management unit is used for settling common knowledge of the system and automatically generating a digital file of the finished project; and performing mathematical modeling by using historical data of the project, monitoring the execution condition of each stage of the project, and realizing early warning of the project execution progress. The invention utilizes the related historical data generated by project management to establish a project monitoring abnormal point model and predict the data.
Description
Technical Field
The invention relates to the field of capital construction and information project management, in particular to a project management and monitoring system and an implementation method thereof.
Background
Project management is the activities of various plans, organizations, leaders, controls, etc. developed to meet or exceed the requirements and expectations of various parties to a project with respect to the project, using various associated skills, methods, and tools.
Project management itself belongs to a large category of project management projects, which include: development Management (DM), Project Management (PM), Facility Management (FM), and Building Information Model (BIM). Project management is divided into three categories: information project management, engineering project management and investment project management.
The project management includes various stages, such as information project management generally including the starting of the project, the planning of the project, the implementation and control process of the project, the ending of the project and the subsequent maintenance of the project. The implementation and control process of the project further comprises project bid and tender management, contract management, progress management, document management, progress money management, completion transfer and the like. Risk management is particularly important in project management, early warning cannot be realized on the risk management and control frequently in the current project management, application measures cannot be made in advance aiming at abnormal points possibly appearing in the project, and the project progress cannot be guaranteed.
Under the era background that big data and cloud computing are popular, how to apply relevant technologies realizes the high-efficiency management of projects and the risk is measurable and controllable. The method can fully utilize mass historical data precipitated in the project management process, combine a big data technology, collect, clean and load the mass data on a cloud computing platform, generate a project management library, establish a project management related mathematical model, and realize real-time monitoring and early warning of each stage in the project management.
Disclosure of Invention
The invention aims to provide a project management and monitoring system and an implementation method thereof.
In order to achieve the purpose, the technical scheme of the invention is as follows: a project management and monitoring system, comprising:
the planning project workbench unit is used for intensively displaying various visual reports formed by projects from different latitudes, wherein the visual reports comprise project classification statistical conditions, occupation ratios of different infrastructure project classifications in infrastructure projects, occupation ratios of different types of projects in informationized projects and occupation ratios of the projects in different stages;
the project planning management unit is used for planning project management; the project management is used for self-defining, progress management, document management, contract management and progress money management of project management nodes;
the knowledge base management unit is used for settling common knowledge of the system and automatically generating a digital file of the finished project; and performing mathematical modeling by using historical data of the project, monitoring the execution condition of each stage of the project, and realizing early warning of the project execution progress.
The invention also provides a method for realizing the project management and monitoring system, which comprises the following steps:
step S1, creating a project plan, and generating basic information of the project plan, including: project name, project site, construction unit, examination and approval unit, land area, building area, planning level, planning period, project type, construction property, construction content, construction subject and investment scheme;
step S2, creating a progress template, and filling in information of template type, template name, working phase, step sequencing, specific step name and time consumption;
step S3, selecting project planning, adding a project to the progress template, and filling in basic information of a project name, a project number, a project type, construction properties, a construction unit, a responsible person, a supervision unit, a supervision responsible person, a contact way, a planned starting year and a planned forming year;
step S4, completing project progress information, document information, contract information and progress money information;
step S5, newly building monitoring service configuration, including project execution condition monitoring item, whether feedback is available, signing in time limit, monitoring responsible person;
step S6, running a monitoring task, wherein the task matches the monitoring index according to the execution condition of each stage of the configured monitoring project, and predicts and alarms abnormal conditions;
step S7, automatically archive the completed project, generate a digital archive of the project, and bring it into the knowledge base management.
In an embodiment of the present invention, in step S5, the item execution condition monitoring item includes: monitoring items and indexes; in step S6, anomaly detection based on statistics is employed.
In an embodiment of the present invention, the specific implementation manner of step S6 is: searching historical data of similar items and relevant stage information thereof; and modeling an abnormal model according to the acquired historical data, evaluating the abnormal model by using a mean absolute error MAPE method, selecting the optimal abnormal model to predict data, generating abnormal points for monitoring project execution, and generating related alarm information.
Compared with the prior art, the invention has the following beneficial effects:
(1) project management efficiency is improved:
the invention creatively combines project planning, project management and project monitoring, can conveniently and effectively manage projects, and can predict and alarm abnormal points in time.
(2) The expansibility is good:
the invention is developed based on a micro-service framework, the front end and the back end are shared, each module can be independently deployed, and the expandability is strong.
(3) The operation is convenient:
the invention realizes a changeable statistical report form of each stage of project management by VUE + ESCharts, and is supplemented with abundant visual components.
Drawings
FIG. 1 is a flowchart of a project management phase according to an embodiment of the present invention.
FIG. 2 is a flowchart of a project monitoring phase according to an embodiment of the present invention.
Detailed Description
The technical scheme of the invention is specifically explained below with reference to the accompanying drawings.
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
The invention relates to a project management and monitoring system, which comprises:
the planning project workbench unit is used for intensively displaying various visual reports formed by projects from different latitudes, wherein the visual reports comprise project classification statistical conditions, occupation ratios of different infrastructure project classifications in infrastructure projects, occupation ratios of different types of projects in informationized projects and occupation ratios of the projects in different stages;
the project planning management unit is used for planning project management; the project management is used for self-defining, progress management, document management, contract management and progress money management of project management nodes;
the knowledge base management unit is used for settling common knowledge of the system and automatically generating a digital file of the finished project; and performing mathematical modeling by using historical data of the project, monitoring the execution condition of each stage of the project, and realizing early warning of the project execution progress.
The invention also provides a method for realizing the project management and monitoring system, which comprises the following steps:
step S1, creating a project plan, and generating basic information of the project plan, including: project name, project site, construction unit, examination and approval unit, land area, building area, planning level, planning period, project type, construction property, construction content, construction subject and investment scheme;
step S2, creating a progress template, and filling in information of template type, template name, working phase, step sequencing, specific step name and time consumption;
step S3, selecting project planning, adding a project to the progress template, and filling in basic information of a project name, a project number, a project type, construction properties, a construction unit, a responsible person, a supervision unit, a supervision responsible person, a contact way, a planned starting year and a planned forming year;
step S4, completing project progress information, document information, contract information and progress money information;
step S5, newly building monitoring service configuration, including project execution condition monitoring item, whether feedback is available, signing in time limit, monitoring responsible person;
step S6, running a monitoring task, wherein the task matches the monitoring index according to the execution condition of each stage of the configured monitoring project, and predicts and alarms abnormal conditions;
step S7, automatically archive the completed project, generate a digital archive of the project, and bring it into the knowledge base management.
The following is a specific implementation process of the present invention.
As shown in fig. 1, the project management phase of the embodiment includes the following steps:
step S1, creating project plan, generating project plan basic information such as project name, project site, construction unit, examination and approval unit, land area (capital construction project), building area (capital construction project), planning level, planning period, project type, construction property, construction content, construction subject and investment scheme;
the creation mode comprises the following steps: the functions of inputting, importing and downloading templates;
step S2, auditing project planning, and bringing the project into project construction backup after the auditing is passed;
step S3, creating a progress template, and filling information such as template types, template names, working stages, step sequencing, specific step names, time consumption and the like;
step S4, selecting project planning, adding a project to the progress template, and filling basic information such as a project name, a project number, a project type, construction properties, a construction unit, a responsible person, a supervision unit, a supervision responsible person, a contact way, a planned starting year, a planned adult and the like;
step S5, completing information of project progress information, document information, contract information, progress money and the like;
step S6, monitoring the project, which is detailed in the project monitoring stage;
step S7, automatically filing the completed project, generating a project digital file, and bringing the project digital file into knowledge base management;
as shown in fig. 2, the project monitoring phase of the present embodiment includes the following steps:
step S1, defining monitoring indexes, configuring task judgment conditions and index types of each specific project stage, wherein the monitoring indexes mainly comprise: feasibility research progress, project approval progress, project bid-inviting progress, contract signing progress, project operation progress, project construction progress, preliminary acceptance progress, trial operation progress, completion acceptance progress, payment mode, payment amount and the like; the index types comprise a progress index and a cost index; the judgment conditions comprise greater than, equal to, less than and equal to; the threshold value is a corresponding value of a specific index, and if the initial check progress exceeds 7 days and 2 weeks, the payment amount exceeds 1 ten thousand, and the like;
step S2, configuring a project stage to be monitored, wherein the main stage comprises feasibility research, project approval, project invitation, contract signing, project operation, project construction, preliminary acceptance, test operation and completion acceptance, and selecting the monitoring index defined in S1; meanwhile, configuring a monitoring responsible person;
step S3, loading project management basic data, mainly comprising feasibility research progress, project approval progress, project bid-inviting progress, contract signing progress, project operation progress, project construction progress, preliminary acceptance progress, trial run progress, completion acceptance progress, payment mode, payment amount and the like, cleaning the data, and storing the data for use in the subsequent steps;
s4, configuring a timing task to start a monitoring task, matching indexes defined in S2 one by one, entering the next step when the matching is successful, and ending the abandoning when the matching is not successful; matching specific values of each stage of the target project according to the index type, the judgment condition and the threshold value defined by the monitoring index;
step S5, according to the matched items, searching the historical data of similar items and carrying data of each stage thereof, carrying out data modeling by using the obtained data, establishing a model of abnormal item monitoring, and selecting a proper model for data prediction;
step S6, generating early warning information according to the predicted abnormal points, wherein the early warning information mainly comprises project names, project codes, monitoring responsible persons, monitoring time, index names, monitoring results and the like;
step S7, sending the early warning to the monitoring responsible person configured in the step S2 to generate backlog;
step S8, monitoring the reminding in the backlog when the responsible person logs in the system, clicking the signing and early warning information by the responsible person, and filling feedback information;
in this embodiment, the specific content of searching the historical data of similar items and carrying data of each stage thereof according to the matched items, performing data modeling by using the obtained data, establishing a model of item monitoring abnormality, and selecting a suitable model for data prediction is as follows: firstly, listing relevant basic information of matched items, and inquiring configuration data of each stage of the matched items; searching historical execution data of each stage of the matched similar items, and arranging the historical data in an ascending order according to time; inputting historical data into a time series algorithm for modeling, training the model for multiple times by using the historical data, then making prediction by using the trained model according to configuration, and taking discrete points deviating from the upper limit and the lower limit of a prediction range as data abnormal points and storing results.
The establishment of the monitoring abnormity model mainly comprises three parts: identifying a model; estimating model parameters; and (5) diagnosing and checking the model. The identification of the model mainly utilizes autocorrelation functions and partial autocorrelation functions. The estimation of the model parameters is mainly to perform parameter estimation on the preliminarily selected model. The diagnosis and test of the model comprises significance check of the estimated parameters and randomness test of residual errors.
In the identification of the model, for the item data matched with the given index, the corresponding similar item is searched and the relevant stage information is attached. And identifying relevant parameters of the model by utilizing the autocorrelation function and the partial autocorrelation function according to the historical data of the similar items.
And monitoring abnormal point model parameter estimation, and performing least square estimation, matrix estimation and direct estimation by utilizing an autocorrelation function respectively. Meanwhile, the average value smoothing method and the index smoothing method are combined to estimate the model parameters of the acquired historical project data, and the optimal parameters are obtained.
After the model identification and parameter estimation, the model is diagnosed and checked to evaluate the quality of the model. And dividing the data into two parts in the project historical data, wherein one part is training data, and the other part is test data. The model predicts the time range data to which the test data belongs to obtain a predicted value, then calculates the mean absolute error (MAPE) between the test data and the predicted data, the lower the MAPE value is, the better the prediction precision is, and the model with the lowest MAPE value is selected as the final determination model.
The above are preferred embodiments of the present invention, and all changes made according to the technical scheme of the present invention that produce functional effects do not exceed the scope of the technical scheme of the present invention belong to the protection scope of the present invention.
Claims (4)
1. A project management and monitoring system, comprising:
the planning project workbench unit is used for intensively displaying various visual reports formed by projects from different latitudes, wherein the visual reports comprise project classification statistical conditions, occupation ratios of different infrastructure project classifications in infrastructure projects, occupation ratios of different types of projects in informationized projects and occupation ratios of the projects in different stages;
the project planning management unit is used for planning project management; the project management is used for self-defining, progress management, document management, contract management and progress money management of project management nodes;
the knowledge base management unit is used for settling common knowledge of the system and automatically generating a digital file of the finished project; and performing mathematical modeling by using historical data of the project, monitoring the execution condition of each stage of the project, and realizing early warning of the project execution progress.
2. A method for realizing a project management and monitoring system is characterized by comprising the following steps:
step S1, creating a project plan, and generating basic information of the project plan, including: project name, project site, construction unit, examination and approval unit, land area, building area, planning level, planning period, project type, construction property, construction content, construction subject and investment scheme;
step S2, creating a progress template, and filling in information of template type, template name, working phase, step sequencing, specific step name and time consumption;
step S3, selecting project planning, adding a project to the progress template, and filling in basic information of a project name, a project number, a project type, construction properties, a construction unit, a responsible person, a supervision unit, a supervision responsible person, a contact way, a planned starting year and a planned forming year;
step S4, completing project progress information, document information, contract information and progress money information;
step S5, newly building monitoring service configuration, including project execution condition monitoring item, whether feedback is available, signing in time limit, monitoring responsible person;
step S6, running a monitoring task, wherein the task matches the monitoring index according to the execution condition of each stage of the configured monitoring project, and predicts and alarms abnormal conditions;
step S7, automatically archive the completed project, generate a digital archive of the project, and bring it into the knowledge base management.
3. The method of claim 2, wherein in step S5, the item execution monitoring item includes: monitoring items and indexes; in step S6, anomaly detection based on statistics is employed.
4. The method of claim 2, wherein the step S6 is specifically implemented as follows: searching historical data of similar items and relevant stage information thereof; and modeling an abnormal model according to the acquired historical data, evaluating the abnormal model by using a mean absolute error MAPE method, selecting the optimal abnormal model to predict data, generating abnormal points for monitoring project execution, and generating related alarm information.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202111132212.1A CN113837619A (en) | 2021-09-27 | 2021-09-27 | Project management and monitoring system and implementation method thereof |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202111132212.1A CN113837619A (en) | 2021-09-27 | 2021-09-27 | Project management and monitoring system and implementation method thereof |
Publications (1)
Publication Number | Publication Date |
---|---|
CN113837619A true CN113837619A (en) | 2021-12-24 |
Family
ID=78970500
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202111132212.1A Pending CN113837619A (en) | 2021-09-27 | 2021-09-27 | Project management and monitoring system and implementation method thereof |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113837619A (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN118469513A (en) * | 2024-06-11 | 2024-08-09 | 中国建筑一局(集团)有限公司 | Intelligent progress plan editing method, plan editing system, medium and product |
CN118628067A (en) * | 2024-08-09 | 2024-09-10 | 北京航天联智科技有限公司 | Engineering project management method and system based on artificial intelligence |
CN118628067B (en) * | 2024-08-09 | 2024-10-25 | 北京航天联智科技有限公司 | Engineering project management method and system based on artificial intelligence |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20100280962A1 (en) * | 2009-02-23 | 2010-11-04 | Chan Louisa Y | Automation system and method for a web-based implementation portal |
US20150254597A1 (en) * | 2014-03-10 | 2015-09-10 | STRATEGIC DNA ADVISORS INC., d/b/a ROI ARCHITECTS | Systems and Methods for Project Planning and Management |
CN109409676A (en) * | 2018-09-27 | 2019-03-01 | 国网经济技术研究院有限公司 | Power grid project management method and system based on bidirectional risk identification model |
CN112085361A (en) * | 2020-08-28 | 2020-12-15 | 上海谊逅信息技术有限公司 | Construction engineering overall process management method |
CN112967025A (en) * | 2020-07-09 | 2021-06-15 | 北京中百信信息技术股份有限公司 | Information engineering supervision project image progress management system |
-
2021
- 2021-09-27 CN CN202111132212.1A patent/CN113837619A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20100280962A1 (en) * | 2009-02-23 | 2010-11-04 | Chan Louisa Y | Automation system and method for a web-based implementation portal |
US20150254597A1 (en) * | 2014-03-10 | 2015-09-10 | STRATEGIC DNA ADVISORS INC., d/b/a ROI ARCHITECTS | Systems and Methods for Project Planning and Management |
CN109409676A (en) * | 2018-09-27 | 2019-03-01 | 国网经济技术研究院有限公司 | Power grid project management method and system based on bidirectional risk identification model |
CN112967025A (en) * | 2020-07-09 | 2021-06-15 | 北京中百信信息技术股份有限公司 | Information engineering supervision project image progress management system |
CN112085361A (en) * | 2020-08-28 | 2020-12-15 | 上海谊逅信息技术有限公司 | Construction engineering overall process management method |
Non-Patent Citations (2)
Title |
---|
刘佳: "高校基建项目管理信息系统的研究与设计", 《中国优秀硕士学位论文全文数据库 信息科技辑》, 15 September 2011 (2011-09-15), pages 138 - 393 * |
吴海宇;: "项目数据表单管理系统的建设研究", 信息系统工程, no. 05, 20 May 2017 (2017-05-20), pages 57 - 58 * |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN118469513A (en) * | 2024-06-11 | 2024-08-09 | 中国建筑一局(集团)有限公司 | Intelligent progress plan editing method, plan editing system, medium and product |
CN118628067A (en) * | 2024-08-09 | 2024-09-10 | 北京航天联智科技有限公司 | Engineering project management method and system based on artificial intelligence |
CN118628067B (en) * | 2024-08-09 | 2024-10-25 | 北京航天联智科技有限公司 | Engineering project management method and system based on artificial intelligence |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN112052992B (en) | Deep learning-based construction project progress prediction system and method | |
Zhao et al. | A statistical approach for interval forecasting of the electricity price | |
CN111754336B (en) | Method and device for scheduling network points | |
CN114971356A (en) | Electric power engineering project progress prediction system and method | |
CN118096131B (en) | Operation and maintenance inspection method based on electric power scene model | |
CN111950929A (en) | Workload balanced distribution method and device for project type tasks | |
CN114202243A (en) | Engineering project management risk early warning method and system based on random forest | |
CN113837619A (en) | Project management and monitoring system and implementation method thereof | |
CN110288142B (en) | XGboost algorithm-based engineering overrun prediction method | |
CN116109042A (en) | Engineering implementation visual management system and method based on BIM technology | |
CN112818028B (en) | Data index screening method and device, computer equipment and storage medium | |
CN116823026A (en) | Engineering data processing system and method based on block chain | |
Heydarian et al. | Automated benchmarking and monitoring of an earthmoving operation's carbon footprint using video cameras and a greenhouse gas estimation model | |
Effendi et al. | Improved fuzzy miner algorithm for business process discovery | |
Friederich et al. | A Framework for Validating Data-Driven Discrete-Event Simulation Models of Cyber-Physical Production Systems | |
CN115829122A (en) | Electric power customer service work order complaint early warning method and system | |
CN115689053A (en) | Energy port fire coal inventory prediction method and system | |
RU2625681C2 (en) | Device for control, accounting, planning and prediction for accomplishing actions with resources | |
CN114139102A (en) | Numerical control machining quality risk early warning method | |
Hong et al. | A value-added predictive defect type distribution model based on project characteristics | |
CN112434648A (en) | Wall shape change detection method and system | |
Ntivuguruzwa | Application of Machine Learning in Long Term Healthcare Cost Prediction | |
CN111027831A (en) | Investment decision method and system based on economic evaluation model | |
Dyomina et al. | Representation of Knowledge by Temporal Cases in Humanitarian Response. | |
Hamzic | Development of an optimization model to determine sampling levels |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |