Railway construction project dispatching digital management method

Abstract

The invention discloses a railway construction project scheduling digital management method, which comprises the following steps of: filling and reporting project progress data by each construction unit, auditing the project progress data by a supervision unit and a headquarters, separating key data for project scheduling, and performing data acquisition; the collected data are preprocessed, data cleaning and sorting are firstly carried out to generate progress data, and then progress statistics and output value statistics are carried out; after production value statistics is completed, the data analysis module is used for expressing in a visual chart mode, and the progress and plan of professional projects such as tunnels, bridges and roadbeds of all sections are analyzed; and providing decision support according to the professional project progress and plan obtained through analysis. According to the invention, various information data of project management are digitally processed, the digitalized management capability of railway engineering construction project scheduling is improved, the project progress is managed in time, the project safety, quality and progress are effectively improved, the construction risk is reduced, and the labor cost is reduced.

Description

Technical Field

[0001] The invention belongs to the technical field of engineering management, and in particular relates to a digital management method for railway construction engineering scheduling. Background Art

[0002] In railway engineering construction, engineering dispatch information management is an important part of construction management and a comprehensive management task. In construction management, the collection, organization, analysis, refinement and communication of construction production information is the information center of construction production, an important link between construction projects and management decision-making levels, and plays an important role in organizing, coordinating and directing construction production. Existing engineering dispatch information is collected through offline electronic spreadsheets and reported to dispatch engineers every week. Offline professional statistics and analysis of engineering progress and output value are carried out. Functions include dispatch notifications, weekly and monthly dispatch reports, special reports, emergency reports, construction engineering duty tables, sending and receiving documents, and information sharing.

[0003] In actual production scheduling, the applicant found that the prior art still has the following defects:

[0004] 1. Low statistical efficiency. Offline statistics usually need to be done manually, which is not only time-consuming but also prone to errors, resulting in low efficiency of the entire data processing process;

[0005] 2. Insufficient data integration. The existing data statistics compare the plan and progress of each construction unit this week, without forming a month-on-month or year-on-year comparison, and there is no corresponding comparison between progress and output value. The data integration model is single;

[0006] 3. Data updating is difficult, information sharing is not timely, offline statistical data cycle is long, and it takes as short as 3 days. It is impossible to view data in real time, and there is a lack of refined management;

[0007] 4. It is difficult to conduct in-depth analysis. Data is often presented in the form of tables or reports, which makes it difficult to conduct in-depth data analysis and mining;

[0008] 5. Difficulty in storage and management. Offline statistical data is usually stored in paper form, which requires a lot of storage space and is not easy to find and retrieve. At the same time, the storage and management of paper data also has certain security risks, such as loss and damage;

[0009] 6. Due to geographical and time constraints, offline statistics usually need to be conducted at specific locations and times, which limits the scope and timeliness of data collection. Summary of the invention

[0010] The purpose of the present invention is to provide a digital management method for railway construction project scheduling, which improves the digital management capability of railway construction project scheduling by digitally processing various information data of project management, manages the project progress in a timely manner, effectively improves project safety, quality and progress, reduces construction risks and reduces labor costs.

[0011] In order to achieve the above object, the technical solution adopted by the present invention is specifically as follows:

[0012] A railway construction project scheduling digital management method, characterized in that it includes the following steps:

[0013] A. Through the data collection module, each construction unit fills in the progress data of each project, which is reviewed by the supervision unit and the command center, and the key data used for project scheduling is separated and data collection is carried out;

[0014] B. After data collection, the collected data is cleaned through the data calculation module, abnormal data is eliminated, and progress data is generated, and then the progress statistics and output value statistics of the bidding section are carried out;

[0015] C. After completing the output value statistics, the statistical data is cleaned, sorted and mined again through the data analysis module, and the progress and plan of professional projects such as tunnels, bridges, and roadbeds in each bidding section are analyzed, and visual charts are generated, and the progress trend of the project is displayed through visual charts;

[0016] D. Provide decision-making data support based on the analysis of professional engineering progress trends, and make modifications to the current engineering progress based on the decision-making data support obtained.

[0017] Furthermore, in the step A, the data collection module includes a project information management list, which includes various types of project information in the contract list and is uniformly managed and reported by each construction unit.

[0018] Furthermore, in the step B, the section progress statistics include real-time tracking and monitoring of the construction progress of each discipline, structure, work site, and process in the construction project, and summarizing the information of each construction progress; the summary statistics include summarizing the statistics of each discipline, structure, work site, and process according to different cycles, and comparing them with the progress plan within the same cycle to calculate the completion ratio.

[0019] Furthermore, after the visualization chart is generated, the construction progress of each specialty, structure, work site, process, etc. in the construction project is converted into actual progress information such as meters of bridge completed, meters of tunnel completed, meters of road completed, etc.

[0020] Furthermore, the output value statistics in step B are calculated and summarized uniformly according to actual progress*comprehensive unit price=completed output value.

[0021] Furthermore, in the step C, the statistical data is cleaned again, and the cleaning includes removing duplicate data, processing missing values, and checking abnormal data; then the cleaned data is sorted, and the data is classified, stored and sorted according to professional engineering categories and work site processes.

[0022] Furthermore, the data analysis module adopts a comparative analysis method to intuitively display the gaps between the data by comparing the actual completion progress of each specialty and each work point with the planned completion progress, and accurately and quantitatively express the changes or gaps with numerical values.

[0023] Furthermore, in the step D, the decision support made includes production and construction decisions, business management decisions, and labor and personnel decisions. The production and construction decisions are compared with the original plan based on the progress statistics, and the progress plan is adjusted in time to guide the construction.

[0024] Furthermore, the business management decision is based on the output value statistics, compares the completed output value of each stage with the investment plan, adjusts the investment plan in time, and modifies the investment plan during the construction period; when adjusting the investment plan, the construction schedule is modified.

[0025] Compared with the prior art, the present invention has the advantages that: the present invention realizes the information sharing function through the digital management method of railway construction project scheduling. Users can view the data submitted and reviewed by all users in the modules of image progress statistics, construction output value statistics, data analysis, etc.

[0026] Secondly, network information is used to collect, process and transmit data, realize paperless statistical reports and real-time data sharing, and data screening and statistics are realized by configuring different conditions. This method reduces the data circulation time, speeds up data processing, and significantly improves data statistical efficiency.

[0027] Improve management efficiency and provide data support for managers' decision-making. Through standardized work processes and operating specifications, reduce uncertainty and redundant steps in decision-making and achieve process automation; through process automation and data statistics, promote cross-departmental collaboration, break down departmental barriers, and achieve resource sharing; data analysis and decision support have become an important support for enterprise management. The system provides real-time data and reports through data collection and statistical analysis, and realizes unified management and data analysis of various application modules. Managers can use data statistics to timely understand information such as project progress and completed output value.

[0028] Through process approval, each approval node strictly controls the data to ensure the accuracy of data comparison and logical review, and promptly verify and correct missing or incorrect data with the submitting user to ensure the authenticity and validity of the data. By establishing a statistical ledger, we ensure that "the data has a source", refine and implement the data collection process, consolidate the source of data collection, and improve the authenticity and accuracy of data collection. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0030] Figure 1 It is a structural framework diagram of the present invention. DETAILED DESCRIPTION

[0031] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0033] In the description of the present invention, it should be noted that if the terms "center", "up", "down", "left", "right", "vertical", "horizontal", "inside", "outside" and the like appear, the orientation or position relationship indicated is based on the orientation or position relationship shown in the accompanying drawings, or is the orientation or position relationship in which the product of the invention is usually placed when used. It is only for the convenience of describing the present invention and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0034] In addition, the terms “first”, “second”, “third”, etc., if used, are merely used to distinguish between the descriptions and should not be understood as indicating or implying relative importance.

[0035] In addition, the terms "horizontal", "vertical", "overhanging", etc. do not mean that the components are required to be absolutely horizontal or overhanging, but can be slightly tilted. For example, "horizontal" only means that its direction is more horizontal than "vertical", and does not mean that the structure must be completely horizontal, but can be slightly tilted.

[0036] In the description of the present invention, it is also necessary to explain that, unless otherwise clearly specified and limited, the terms "set", "install", "connect", "connection", etc. should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0037] It should be noted that, in the absence of conflict, the features in the embodiments of the present invention may be combined with each other.

[0038] like Figure 1 As shown, a digital management method for railway construction project scheduling includes the following steps: A. Through the data acquisition module, each construction unit fills in the progress data of each project, and the supervision unit and the command center review it, separate the key data used for project scheduling, and perform data acquisition; in the A step, the data acquisition module includes a project information management list, which uniformly manages and reports each specialty, structure, work site, type, process, work site length, unit, surrounding rock grade, design length, comprehensive unit price, etc. in the contract list of each construction unit.

[0039] B. After data collection, the collected data is preprocessed through the data calculation module, firstly data cleaning is performed, abnormal data is eliminated, progress data is sorted and generated, and then progress statistics and output value statistics are performed; in the B step, progress statistics are specifically real-time tracking and monitoring of the construction progress of various disciplines, structures, work sites, processes, etc. in the construction project, and the information of each construction progress is summarized and counted. In the progress statistics, the construction progress of various disciplines, structures, work sites, processes, etc. in the construction project is converted into actual progress information such as meters of bridges, meters of tunnels, and meters of roads. The output value statistics are calculated and summarized uniformly according to the actual progress * comprehensive unit price = completed output value, and the project progress is directly reflected according to the completed output value data. Data cleaning preprocesses the collected data through logical relationships, including removing duplicate data, processing missing values, checking data anomalies, etc., to improve the accuracy and reliability of the data.

[0040] C. After completing the output value statistics, the statistical data is cleaned, sorted, and mined again through the data analysis module, and displayed in the form of visual charts to analyze the progress and plans of professional projects such as tunnels, bridges, and roadbeds in each section. In step C, the statistical data is cleaned again, and the cleaning includes removing duplicate data, processing missing values, and checking abnormal data; then the cleaned data is sorted, and the data is classified and stored according to professional engineering categories and work site processes. Visual charts include a variety of different analysis charts, such as bar charts, pie charts, etc., or other charts that can directly feedback the comparison results of data information.

[0041] D. Provide decision-making data support based on the analysis of the progress trend of professional projects, and make modifications to the current project progress based on the obtained decision-making data support. The data analysis module uses comparative analysis to generate visual charts to compare the actual completion progress of each professional and work point with the planned completion progress, intuitively display the gap between the data, and use numerical values ​​to accurately and quantitatively represent the changes or gaps. In the auxiliary decision-making module, the decision support made includes production and construction decisions and business management decisions. The production and construction decisions are compared with the original plan based on the progress statistics, and the progress plan is adjusted in time to guide the construction.

[0042] The production and construction decision is made by comparing the progress statistics with the original plan, adjusting the progress plan in a timely manner, and guiding the construction.

[0043] The business management decision is based on the output value statistics, compares the completed output value of each stage with the investment plan, adjusts the investment plan in time, and modifies the investment plan during the construction period; when adjusting the investment plan, the construction schedule is modified.

[0044] Compared with the existing technology, in the existing project progress management method, it is necessary to collect data through offline electronic spreadsheets, report to the dispatch engineer every week, and conduct offline professional statistics and analysis of project progress and output value. The functions include dispatch notification, dispatch weekly and monthly reports, special reports, emergency reports, construction project duty tables, sending and receiving files, and data sharing. In the present invention, various types of data are converted and expressed in a unified manner, which can more intuitively express the difference between the project progress and the planning standard, so that the plan can be modified more accurately, management decisions can be provided, and the project progress can be adjusted in time.

[0045] Specifically, in the management system, the data collection module includes a form configuration interface and a data collection interface. Based on the business interface configured with the form, the user selects the specific business under the corresponding business module and clicks the "Apply" option on the page to initiate a business form generation request to the system server. After receiving the form generation request, the system server returns the corresponding form interface to the user end based on the business form generation request and the form configuration template corresponding to the predetermined business in the database. By collecting different forms filled in by different construction units, the information collection of the project can be completed.

[0046] In these forms, it is necessary to complete the collection of basic data. Basic data is the underlying structure for the entire system's engineering progress reporting and statistical analysis. Each construction unit fills in the name of the structure, work site, process, type, length of the work site, unit, design quantity, converted comprehensive unit price, and total price of each professional in this section of the project. The unit needs to be converted into a commonly used unit of measurement, and X is used to represent the specific engineering quantity. Continuous beam (1 linear meter) = 1 (m), cap (Xm 3 )=1(piece), pier(Xm 3 )=1(piece), pile foundation (Xm)=1(root), simply supported box girder (Xm 3 )=1(hole).

[0047] Similarly, the form also includes statistics on the visual progress of the project, which is used to count the completion progress of each professional structure, work site, type, and process of each construction unit on a weekly, monthly, quarterly, annual, and cumulative basis.

[0048] After data collection, the data is cleaned through the data calculation module, and repeated erroneous data such as duplicate information and abnormal process information are eliminated. Then data statistics are performed, including progress statistics and output value statistics.

[0049] Among them, the progress statistics convert the construction progress of each discipline, structure, work site, process, etc. in the construction project into actual progress information such as completed bridge meters, completed tunnel meters, and completed road meters.

[0050] in,

[0051] Chengqiaomi

[0052] Design quantity: the sum of the planned output value of bridge major in the schedule decomposition / the total output value of bridge major in the basic data*the design length of bridge major in the line length basic data (month, quarter, year); the design length of bridge major in the line length basic data (cumulative).

[0053] Completion volume: total output value of bridge major in the visual progress statistics / sum of total output value of bridge major in the basic data*design length of bridge major in the line length basic data (monthly, quarterly, annually, cumulatively).

[0054] Chengtunmi

[0055] Design quantity: the plan (month, quarter, year) of excavation and support procedures for the tunnel-specific main tunnel type under the plan progress decomposition menu in the engineering scheduling; the design length (cumulative) of the tunnel-specific main tunnel in the line length basic data.

[0056] Completion volume: the completion volume of the tunnel professional main tunnel type excavation and support process in the visual progress statistics (monthly, quarterly, annual, cumulative).

[0057] Cheng Lumi

[0058] Design quantity: the sum of the planned output value of the roadbed in the schedule decomposition / the total of the roadbed in the basic data*the design length of the roadbed in the line length basic data (month, quarter, year); the design length of the roadbed in the line length basic data (cumulative).

[0059] Completion volume: total output value of roadbed in the visual progress statistics / sum of total output value of roadbed in the basic data*design length of roadbed in the line length basic data (monthly, quarterly, annual, cumulative).

[0060] In the progress statistics, it is used to count the completion progress of each professional structure, work site, type, and process of each construction unit on a weekly, monthly, quarterly, annual, and cumulative basis, and to form a data comparison with the progress plan issued in the engineering information management module, providing decision-making data support for managers. The daily engineering progress of each professional in this section filled in by the user in the data collection form is stored in the database after being reviewed and approved by the node personnel at all levels. According to the daily management needs of the railway construction unit, the technical personnel will summarize the same structure, work site, type, and process according to different cycles, and then compare it with the progress plan in the same cycle in the engineering information management module to calculate the completion ratio.

[0061] The progress plan is the data uploaded by the construction unit on a monthly basis. The system calculates the daily progress plan for this month based on the calculation method of this month's planned progress / this month's natural days. Weekly completion is the accumulation of daily project progress from last Friday to this Thursday. Monthly completion is the accumulation of daily project progress from the 26th of last month to the 25th of this month. Quarterly completion is the accumulation of daily project progress within the natural quarter. Annual completion is the accumulation of daily project progress within the natural year. Cumulative completion is the accumulation of daily project progress from the start of construction to the present. Completion volume / progress plan = completion ratio, (completion volume - planned volume) / daily plan = advance / lag (days). The weekly completion statistics of the work site are the statistics of the cumulative values ​​of daily project progress from last Friday to this Thursday. The interval completion statistics of the work site are the statistics of the cumulative values ​​of project progress within the freely selected date interval.

[0062] Output value statistics are different from progress statistics. On the basis of progress statistics, various types of progress statistical information are uniformly calculated and summarized to produce a single output value data, thereby reflecting the specific output value of the project in a simpler and clearer way. Specifically, various types of complex data are visualized through transformation to form the final statistics of the specific completed output value (completed output value = actual progress * comprehensive unit price).

[0063] Decision makers can directly obtain the investment progress of the project based on the actual completed output value according to the obtained output value statistics, and compare the completed output value with the investment plan. The management can adjust the investment plan in time by comparing the completed output value of each stage with the investment plan. Similarly, the progress of the project can be obtained in time according to the completion ratio calculated by the progress statistics, and the lagging projects can be adjusted in time.

[0064] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A digital management method for railway construction project scheduling, characterized by: The following steps are involved: A. Through the data collection module, each construction unit fills in the progress data of each project, which is reviewed by the supervision unit and the command center, and the key data used for project scheduling is separated and data collection is carried out; B. After data collection, the collected data is cleaned through the data calculation module, abnormal data is eliminated, and progress data is generated, and then the progress statistics and output value statistics of the bidding section are carried out; C. After completing the output value statistics, the statistical data is cleaned, sorted and mined again through the data analysis module, and the progress and plan of professional projects such as tunnels, bridges, and roadbeds in each bidding section are analyzed, and visual charts are generated, and the progress trend of the project is displayed through visual charts; D. Provide decision-making data support based on the analysis of professional engineering progress trends, and make modifications to the current engineering progress based on the decision-making data support obtained.

2. The railway construction project scheduling digital management method according to claim 1 is characterized by: In the step A, the data collection module includes a project information management list, which includes various types of project information in the contract list and is uniformly managed and reported by each construction unit.

3. The railway construction project scheduling digital management method according to claim 1 is characterized by: In the step B, the progress statistics of the bidding section include real-time tracking and monitoring of the construction progress of each discipline, structure, work site and process in the construction project, and summarizing the information of each construction progress; the summary statistics include summarizing the statistics of each discipline, structure, work site and process according to different cycles, and comparing them with the progress plan in the same cycle to calculate the completion ratio.

4. The method for digital management of railway construction project scheduling according to claim 1 is characterized by: After the visualization chart is generated, the construction progress of each specialty, structure, work site, process, etc. in the construction project is converted into actual progress information such as meters of bridge completed, meters of tunnel completed, meters of road completed, etc.

5. The railway construction project scheduling digital management method according to claim 1 is characterized by: The output value statistics in step B are calculated and summarized uniformly according to the actual progress*comprehensive unit price=completed output value.

6. The railway construction project scheduling digital management method according to claim 1 is characterized by: In the step C, the statistical data is cleaned again, which includes removing duplicate data, processing missing values, and checking abnormal data; then the cleaned data is sorted, and the data is classified, stored and sorted according to professional engineering categories and work site processes.

7. The railway construction project scheduling digital management method according to claim 1 is characterized by: The data analysis module adopts comparative analysis method to compare the actual completion progress of each specialty and each work point with the planned completion progress through the generated visual chart, intuitively display the gap between the data, and use numerical values ​​to accurately and quantitatively represent the changes or gaps.

8. The railway construction project scheduling digital management method according to claim 1 is characterized by: In the step D, the decision support includes production and construction decisions and business management decisions. The production and construction decisions are compared with the original plan based on the progress statistics, and the progress plan is adjusted in time to guide the construction.

9. The railway construction project scheduling digital management method according to claim 8 is characterized by: The business management decision is based on the output value statistics, compares the completed output value of each stage with the investment plan, adjusts the investment plan in time, and modifies the investment plan during the construction period; when adjusting the investment plan, the construction schedule is modified.

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