Engineering supervision data management method and system

Abstract

The invention relates to the technical field of project supervision data management, in particular to a project supervision data management method and system, and the method comprises the steps: 1, dividing data generation stages based on project progress nodes, and determining the data generation frequency corresponding to each stage; step 2, automatically distributing task priorities and time plans of supervision data according to the data generation frequency; 3, setting a standard template of acceptance data according to project contract terms, checking the compliance of the standard template, and ensuring real-time synchronization of supervision data and construction progress through project supervision data management and accurate regulation and control of data generation frequency so as to eliminate the hidden danger of lag; by means of a unified and dynamic acceptance standard mechanism, compliance review disputes are effectively resolved. Therefore, the efficiency and accuracy of data management are greatly improved, engineering quality tracing and smooth acceptance are better, a foundation is built firmly, and the overall efficiency of engineering management is remarkably enhanced.

Description

Technical Field

[0001] The present application relates to the technical field of engineering supervision data management, and in particular to a method and system for engineering supervision data management. Background Art

[0002] In the construction industry, engineering supervision document management, a crucial component of project management, focuses on systematically managing and controlling supervision documents throughout their lifecycle, ensuring close coordination between supervision and construction progress, and strict adherence to contract terms and relevant regulatory requirements. Scientific and efficient document management not only provides a reliable basis for project quality traceability but also plays a key role in ensuring smooth project acceptance.

[0003] However, current methods for managing project supervision data have exposed two pressing issues in practice. First, the widespread disconnect between the generation of supervision data and the construction progress. Because construction projects involve multiple stages and collaborative efforts, and because of the numerous uncertainties inherent in the construction process, the generation of supervision data often lags behind the actual construction progress. Dynamically and precisely regulating the frequency of supervision data generation based on project progress milestones has become a key challenge in ensuring data integrity and timeliness, and ensuring the orderly progress of project management.

[0004] Secondly, the compliance review of acceptance documents continues to be controversial. While project contracts stipulate acceptance document standards, disagreements often arise in actual implementation due to differences in interpretation and delayed standard updates. This not only impacts document review efficiency but also poses a risk to project quality. Therefore, establishing a precise, unified dynamic control mechanism for acceptance document standards based on project contract terms has become a crucial issue for enhancing the accuracy and authority of document management. Properly addressing these issues is crucial for improving the overall effectiveness of project supervision document management and ensuring project quality and progress. Summary of the Invention

[0005] In order to solve the problems raised by the above background technology, the present application provides a project supervision data management method and system.

[0006] The present application provides a method and system for managing engineering supervision data, which adopts the following technical solutions: A method for managing engineering supervision data, characterized by comprising:

[0007] Step 1: Divide the data generation stages based on the project progress nodes and determine the data generation frequency corresponding to each stage;

[0008] Step 2: Automatically assigning task priorities and time plans for supervision data based on the data generation frequency;

[0009] Step 3: Set up a standard template for acceptance documents according to the project contract terms and verify its compliance;

[0010] Step 4: File the compliance-verified acceptance documents into the database of the corresponding stage for subsequent review.

[0011] In a specific embodiment, dividing the data generation stages based on the project progress nodes and determining the data generation frequency corresponding to each stage further includes:

[0012] Define multiple key progress nodes To represent the project life cycle;

[0013] According to each key progress node Length of construction period , set the initial generation frequency ,in is a constant corresponding to unit time, using the formula Calculate the actual generation frequency ,in represents the workload index, represents the schedule reliability index;

[0014] like Greater than the system capacity limit , then Limit to .

[0015] In a specific embodiment, defining a plurality of key progress nodes further includes:

[0016] Divide the project into main phases and secondary stage ,The main stage determines the high priority data;

[0017] Set default weights based on a historical experience database

[0018] Using the formula Update overall workload index

[0019] For the low-weight stage, adjust its generation frequency to , to highlight the key points.

[0020] In a specific embodiment, the method further includes: obtaining a real-time progress ratio from the current project , used to reflect the degree of completion;

[0021] By formula Adjust the task urgency factor ,in is the basic parameter;

[0022] when When the emergency mode is activated, the spawn frequency is increased to ;

[0023] Record each time Value, used to correct the duration estimate of subsequent nodes and workload index .

[0024] In a specific embodiment, the method further includes: identifying an acceptance indicator set in the contract terms. and classify it as a high-risk item , general items and supplementary items ; Set the initial check threshold , for high-risk items Focus on key items, and use lower default requirements for other items;

[0025] According to the formula Dynamically evaluate the standard template compliance rate at each stage ;

[0026] when When you click on the standard template, you will be prompted to modify the standard template for that part.

[0027] In a specific embodiment, the standard template compliance rate further includes the steps of:

[0028] Decompose contract terms into a list of elements , and indicate the compliance level of each element ;

[0029] Assume the formula Calculate the overall average compliance level, where is the length of the list;

[0030] like or , if it exceeds the deviation tolerance, the element is marked;

[0031] Summarize the percentage of flagged elements and generate alerts.

[0032] In a specific embodiment, the dynamic evaluation process is detailed as follows:

[0033] Number of documents generated at each stage of collection and total planned demand ;

[0034] Introduction ratio , and converted to a score through a linear mapping ; Use the following rules to determine whether the template is qualified: If , then the template meets the requirements; otherwise, the template needs to be revised or supplemented;

[0035] Store each matching result values ​​so that future predictions can be optimized to generate rules.

[0036] In a specific implementation, the following processing logic is newly added:

[0037] Combined with weather factors and manpower scheduling Construct a set of external influencing variables ;

[0038] With the initial formula Calculate the adjusted generation frequency, where are the coefficients of each factor, For collection members of;

[0039] For unconventional conditions , triggering the manual review mechanism to prevent excessive errors;

[0040] Save additional information under special circumstances for later tracing and analysis.

[0041] In one embodiment, the following improvements are added to the calculation:

[0042] Specify the expected delivery time for each acceptance document

[0043] Using recursive function form Continuously calibrate expected delivery times;

[0044] for The last few steps of the project can be estimated in advance to reserve enough time margin;

[0045] Finally, a complete time distribution chart is formed for the project team's reference.

[0046] An engineering supervision data management system, comprising:

[0047] The phase and frequency division module is used to divide the data generation phase based on the project progress nodes and determine the data generation frequency corresponding to each phase;

[0048] a task allocation module, connected to the phase and frequency division modules, for automatically allocating task priorities and time plans for supervision data according to the data generation frequency;

[0049] Template verification module, used to set standard templates for acceptance documents according to project contract terms and verify their compliance;

[0050] The data archiving module is connected to the template verification module and is used to archive the acceptance data that have passed the compliance verification into the database of the corresponding stage for subsequent review.

[0051] In summary, this application includes at least one of the following beneficial technical effects:

[0052] The disclosed embodiment defines key progress nodes and combines parameters such as construction period, workload index, and progress reliability index to adjust the frequency of supervision data generation in real time. For example, during the construction phase of a bridge pile foundation, when geological conditions change and the construction progress fluctuates, the system can automatically speed up or slow down the data generation rhythm to ensure that the supervision data can synchronously and accurately record the construction process, avoid the loss of construction information due to data lag, and provide a coherent and detailed basis for project quality traceability.

[0053] In terms of acceptance document management, the precise and unified standard dynamic control mechanism established based on the project contract terms has effectively resolved the long-standing compliance review dispute problem. Engineering contract terms often have a certain amount of room for interpretation, and with the update of industry standards, data acceptance standards are prone to disagreement. This application carefully decomposes the contract terms, clarifies the classification and inspection thresholds of acceptance indicators, and uses scientific formulas to dynamically evaluate the compliance rate of standard templates. In the acceptance of large-scale water conservancy projects, for important acceptance documents such as concrete strength test reports, a strict compliance verification process is implemented, which reduces repeated reviews and document modifications caused by inconsistent standards, improves the efficiency of acceptance document review by about 30%, and reduces the risk of project acceptance delays due to document problems, ensuring that the project can be delivered and put into use on time;

[0054] In addition, this application also takes into account the impact of external factors on data management, adjusts the frequency of data generation based on variables such as weather and manpower scheduling, and establishes a complete time management and progress monitoring mechanism. In engineering construction in coastal areas where typhoons are frequent, in the face of construction interruptions caused by severe weather, the system can promptly adjust the data generation plan to avoid data management chaos caused by force majeure; through real-time monitoring and early warning of progress deviations, the project team can quickly discover potential problems in the project, take measures to correct them in advance, and ensure that engineering construction is always carried out within a controllable range. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 This is a flow chart of the engineering supervision data management method;

[0056] Figure 2 This is a flow chart of the engineering supervision information management system. DETAILED DESCRIPTION

[0057] Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings.

[0058] Throughout this specification, reference to the terms "certain embodiments," "one embodiment," "some embodiments," "illustrative embodiments," "examples," "specific examples," or "some examples" means that a specific feature, structure, material, or characteristic described in conjunction with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0059] The present application discloses a method and system for managing project supervision data. Referring to the accompanying drawings, the following describes a method for managing project supervision data according to the present invention. This method optimizes the management process of project supervision data through a series of steps and effectively solves two core problems that may arise in actual project management:

[0060] First, how to regulate the generation frequency of supervision data according to the project progress nodes to avoid the contradiction between the construction progress and the lag of supervision data;

[0061] The second is how to ensure the standardization of acceptance documents according to the terms of the project contract and resolve disputes in compliance reviews.

[0062] A method for managing engineering supervision data, characterized by comprising:

[0063] Step 1: Divide the data generation stages based on the project progress nodes and determine the data generation frequency corresponding to each stage;

[0064] Step 2: Automatically assigning task priorities and time plans for supervision data based on the data generation frequency;

[0065] Step 3: Set up a standard template for acceptance documents according to the project contract terms and verify its compliance;

[0066] Step 4: File the compliance-verified acceptance documents into the database of the corresponding stage for subsequent review.

[0067] Dividing the data generation stages based on the project progress nodes and determining the data generation frequency corresponding to each stage further includes:

[0068] Define multiple key progress nodes To represent the project life cycle;

[0069] According to each key progress node Length of construction period , set the initial generation frequency ,in is a constant corresponding to unit time, using the formula Calculate the actual generation frequency ,in represents the workload index, represents the schedule reliability index;

[0070] like Greater than the system capacity limit , then Limit to ;

[0071] Among them, the definition of key nodes and the calculation of initial frequency: In the above bridge construction project, the key progress nodes are defined Completed foundation construction, The construction of the bridge pier is completed. The bridge is completed, etc. For example, the duration of the project Day, according to the formula ,when When the initial generation frequency is calculated times / day.

[0072] Actual frequency calculation and adjustment: considering workload index and schedule reliability index , assuming that in the foundation construction stage, by analyzing factors such as the complexity of the construction process, the number of participants and equipment, the workload index is determined Evaluate the schedule reliability index based on the progress of previous similar projects and the resource allocation of the current project The actual generation frequency is times / day. Greater than the system capacity limit (Assume times / day), then The limit is 2.5 times / day to ensure that the system can effectively handle data generation tasks.

[0073] Defining multiple key progress nodes further includes: dividing the project into main phases and secondary stage , the main stage determines the high priority data; set the default weight based on the historical experience database Using the formula Update overall workload index For the low-weight stage, adjust its generation frequency to , to highlight the key points;

[0074] Phase division and weight setting: Divide the bridge construction project into main phases (such as foundation construction and pier construction, these stages directly affect the safety of the main structure of the bridge, and the data is of high importance) and sub-stage (Such as bridge deck paving, installation of auxiliary facilities). Based on the historical experience database, set the main stage weight , the next stage weight Workload Index Update and Frequency Adjustment: Using Formula Update overall workload index For example, in the foundation construction phase, assuming the workload estimate for the main phase is , workload assessment value for the next stage ,but For the secondary stage (low weight stage), adjust its frequency to 80% of the initial generation frequency of a node in the next stage times / day, the adjusted frequency is times / day, highlighting the key points of data management in the main stage.

[0075] Also includes: Get real-time progress percentage from the current project , used to reflect the degree of completion; through the formula Adjust the task urgency factor ,in is the basic parameter; when When the emergency mode is activated, the spawn frequency is increased to ; Record each time Value, used to correct the duration estimate of subsequent nodes and workload index

[0076] Progress ratio acquisition and urgency coefficient calculation: In bridge construction projects, real-time progress ratios are obtained through construction progress reports, on-site supervision records, etc. For example, when the foundation construction is carried out to the 45th day, it is estimated that 60% of the foundation construction task has been completed. By formula Calculating the task urgency factor , assuming ,but Emergency mission mode start-up, frequency adjustment and data correction: (Assume ), if the foundation construction is nearing completion and the progress reaches 85%, the emergency task mode will be activated and the spawn frequency will be increased to (Assume times / day, times / day), that is, the frequency is adjusted to 3 times / day. At the same time, record each time Value, used to correct the duration estimate of subsequent nodes and workload index For example, based on the actual construction progress and data generation, it is found that the workload of the subsequent pier construction phase may increase than expected, so the construction period estimate and workload index of the pier construction phase are adjusted.

[0077] Also includes: Identify the set of acceptance criteria in the contract terms and classify it as a high-risk item , general items and supplementary items ; Set the initial check threshold , for high-risk items Focus on it, and use the default lower requirements for other items; according to the formula Dynamically evaluate the standard template compliance rate at each stage ;when When the standard template of this part is modified, it will prompt you to modify it;

[0078] Indicator classification and threshold setting: Identifying acceptance indicator sets in bridge construction project contracts , classifying it as a high-risk item (such as strength and stability indicators of bridge load-bearing structures), general items (such as the allowable deviation of bridge deck flatness) and supplementary items (such as video data during construction). Set the initial inspection threshold , focus on high-risk items, for example, the inspection accuracy requirement for the strength test data of the bridge load-bearing structure is set to an error of no more than ±2%, while general items and supplementary items adopt the default lower requirements. Template compliance assessment and template modification tips: According to the formula Dynamically evaluate the standard template compliance rate at each stage For example, during the bridge structure acceptance phase, after collecting relevant data, the high-risk index of a certain item is calculated. Value, if (Assume , it will prompt you to modify the standard template of this part, such as adding test items or adjusting test method requirements, to ensure that the acceptance data meets the project quality requirements.

[0079] The standard template compliance rate further includes the steps of: breaking down the contract terms into a list of elements , and indicate the compliance level of each element ; Assume the formula Calculate the overall average compliance level, where is the length of the list; if or , if it exceeds the deviation tolerance, the element is marked;

[0080] Summarize the number of flagged elements and generate warnings, decompose contract terms and mark compliance levels: decompose bridge construction project contract terms into a list of elements For example, the bridge structure acceptance clauses can be broken down into elements such as bridge length measurement, width measurement, and concrete strength testing, and the compliance level of each element can be marked. , where 1 represents the lowest compliance requirement and 5 represents the highest compliance requirement. For example, the compliance level of the strength inspection element of the bridge load-bearing structure is marked as 5, and the compliance level of the appearance inspection element of the bridge deck ancillary facilities installation is marked as 3. Average compliance level calculation and element marking and warning generation: Assume the formula Calculate the overall average regulatory level. (Assume )or (Assume ), then mark the element. For example, if the compliance level of a bridge deck flatness detection element is 1, it is lower than Finally, the system summarizes the percentage of marked elements and generates an alert, reminding supervisors to conduct a focused review and supplementary review of relevant materials.

[0081] The dynamic evaluation process is broken down into: collecting the number of documents generated at each stage and total planned demand ;Introduction ratio , and converted to a score through a linear mapping ; Use the following rules to determine whether the template is qualified: If , then the template meets the requirements; otherwise, the template needs to be revised or supplemented;

[0082] Store each matching result Value, so as to optimize the generation rules for future prediction, document number collection and ratio calculation: At each stage of the bridge construction project, the number of documents collected and total planned demand For example, during the pier construction phase, it is planned to generate 50 copies of various supervision documents ( ), after the actual completion of the stage work, 45 sets of data were generated ( ), then the ratio .

[0083] Score conversion, template determination and result storage: Through linear mapping Convert to rating (Assume , ),but . Set the judgment rules, if (Assume ), the template meets the requirements; otherwise, the template needs to be modified or supplemented. At the same time, the matching results of each values ​​so that in subsequent similar engineering stages or other projects, the data generation rules and template settings can be optimized by analyzing these data.

[0084] The following processing logic has been added: Combined with weather factors and manpower scheduling Construct a set of external influencing variables ; Using the initial formula Calculate the adjusted generation frequency, where are the coefficients of each factor, For collection Members of; for unusual conditions , triggering the manual review mechanism to prevent excessive errors;

[0085] Save additional information under special circumstances for subsequent tracing and analysis;

[0086] Construction of external influencing variables and application of frequency adjustment formula: combining weather factors (For example, heavy rain and strong winds will affect the progress of bridge construction and data collection) and manpower scheduling (Staff shortages may cause data collection delays) etc. to build a set of external influencing variables . Using the initial formula Calculates the adjusted spawn frequency.

[0087] For example, during the bridge construction phase, due to continuous heavy rain Factors affect the construction progress, set the factor coefficient corresponding to heavy rain weather , the original generation frequency times / day, the adjusted generation frequency Times / day. Manual review trigger and information preservation: for unusual conditions , that is, when the adjusted frequency exceeds 2 times of the original frequency, the manual review mechanism is triggered. times / day, greater than Every day, the system prompts supervisors to manually review the data generation plan to ensure it is reasonable and prevent significant errors. Additionally, the system saves additional information for special circumstances, such as weather records and personnel scheduling changes, to facilitate subsequent analysis and lessons learned.

[0088] The following improvements have been incorporated into the calculations: Clarify the expected delivery time for each acceptance document Using recursive function form Continuously adjust the expected delivery time; The last few steps of the project can be estimated in advance to reserve enough time margin;

[0089] Finally, a complete time distribution chart is formed for the project team to refer to, and the expected delivery time is clarified and corrected: the expected delivery time of each acceptance document is clarified For example, the expected delivery time of the bridge pile foundation inspection report is 5 days. Use the recursive function form Continuously calibrate the expected delivery time. For example, if the actual delivery of the previous similar document was delayed, an error will occur. (indicates a delay of 2096), correction factor , original expected delivery time Heaven, then Days, adjust the expected delivery time of subsequent similar materials. (Assume For the final stages of the project (the final three phases), advance estimates are allowed to reserve sufficient time margin. For example, during the final stages of bridge construction, such as the deck paving and acceptance phase, the delivery time for acceptance documents can be estimated and planned in advance. Ultimately, the system generates a comprehensive timeliness distribution chart based on data such as the expected and actual delivery times for each phase, visually displaying the data delivery status for the project team to use as a reference, enabling timely identification of issues and adjustments to data management strategies.

[0090] An engineering supervision data management system, comprising:

[0091] The phase and frequency division module is used to divide the data generation phase based on the project progress nodes and determine the data generation frequency corresponding to each phase;

[0092] a task allocation module, connected to the phase and frequency division modules, for automatically allocating task priorities and time plans for supervision data according to the data generation frequency;

[0093] Template verification module, used to set standard templates for acceptance documents according to project contract terms and verify their compliance;

[0094] The data archiving module is connected to the template verification module and is used to archive the acceptance data that has been verified for compliance into the database of the corresponding stage for subsequent review

[0095] First, divide the entire construction process into multiple phases based on different timelines, and determine the corresponding supervision documentation generation tasks for each phase. For example, the types and quantities of supervision documentation required for each phase may vary between the foundation construction phase, the main construction phase, and the final acceptance phase. To achieve this division, project supervisors must establish clear phase boundaries based on the project's actual conditions and empirical data. Then, combining historical project data and existing engineering management standards, they can assign appropriate documentation generation frequencies to these phases. This approach reduces the risk of temporary adjustments through advance planning and ensures close synchronization between project documentation and construction progress.

[0096] Specifically, during this step, tables or charts can be used to record in detail key activities and associated documentation requirements at different construction milestones. In one embodiment, the project manager regularly reviews weekly construction reports and updates the relevant documentation checklist based on the current construction progress. For example, when construction enters the reinforced concrete pouring phase, the corresponding project quality monitoring report generation task, such as a concrete strength test record sheet or a hidden inspection certificate, must be initiated according to pre-set rules.

[0097] Then, after clarifying the data requirements for each project phase, the priority of each type of supervision task is automatically set according to the defined frequency of data generation and incorporated into the overall time plan. This measure aims to address the uncertainty challenges brought about by changes in the on-site environment by dynamically allocating work tasks. For example, for certain more complex sub-projects or special process links (such as the splicing of hanging board formwork below), the corresponding file types should have shorter cycles and higher weight levels, as they are likely to become the focus of subsequent audits. At the same time, an intelligent system is developed to assist dispatchers in rationally arranging human resources and other production resources, so that all necessary and critical operational steps are executed in a timely manner while ensuring maximum efficiency.

[0098] To achieve the second goal of improving the standardization of acceptance documents to facilitate compliance reviews, a unified standard template should be developed based on all key contractual documents agreed upon by both parties during the project signing process, including quality levels, testing standards, and other special terms and conditions. Legal experts can also be involved in reviewing and confirming the template's legality and comprehensiveness. An automated verification process is then implemented using information technology. Before each new document is filed, it is submitted to the system's embedded specialized software for verification and correction against the pre-defined clauses and regulations. Any discrepancies are flagged and provided to the author for correction. Only when the document fully complies with regulations can it be stored as the official version. This approach significantly reduces the rate of human error and significantly shortens the time spent on repeated revisions due to misunderstandings.

[0099] For example, in a specific municipal road construction project, a supervision team rigorously adhered to the aforementioned principles and established a comprehensive supervision data management system. They first subdivided the project into multiple modules, such as pavement structure base paving and asphalt mixture paving, based on the project's construction content. Then, based on the frequency of testing for different material performance indicators, they established a work guideline requiring the upload of at least one set of sample data and supporting documentation every 72 hours. Ultimately, they successfully completed all supervision service obligations within the stipulated timeframe and with high quality, earning high praise from the client.

[0100] Finally, all verified archival materials are stored within a custom-developed, partitioned directory structure within the enterprise's digital platform for future review. Encryption technology and a permissions management system strengthen confidentiality and security, restricting access to archival information to qualified individuals only. This fully protects trade secrets while meeting the growing demand for traceability and transparency in the modern construction industry. This comprehensive process control system provides a successful example for future similar projects.

[0101] The present invention provides a method for managing project supervision data, including: dividing data generation phases based on project progress milestones, determining the data generation frequency corresponding to each phase, automatically assigning priorities and timelines for supervision data tasks, establishing a standard template for acceptance data based on project contract terms, and verifying the data's compliance. Finally, the verified data is archived in a database corresponding to the phase for subsequent review. This method effectively improves the accuracy and efficiency of supervision data management and use through a series of systematic processes and standardized measures.

[0102] In response to the first technical problem, namely how to regulate the generation frequency of supervision data to solve the problem of data lagging behind the construction progress, the present invention proposes to reasonably divide the different stages according to the specific progress nodes of the engineering project, and dynamically adjust the generation frequency of data in combination with the work characteristics of each stage. Through this mechanism, the time nodes and intensity of data production can be arranged in a targeted manner at different stages of engineering construction, preventing time constraints and data omissions caused by early omissions or late concentration. In addition, allocating task priorities and time plans for supervision data based on generation frequency can further optimize resource allocation, ensure that key information of important stages is recorded in a timely manner, and avoid lags affecting the overall project progress.

[0103] Regarding the second technical issue, that is, how to regulate the standardization of acceptance documents according to the terms of the project contract to reduce disputes in compliance reviews, the present invention achieves consistency and standardization requirements by formulating standard templates associated with the contract. This method allows each document to be submitted to be limited to a clear framework at the initial stage of formation, and at the same time cooperates with a specially set compliance inspection module to check the template filling content item by item to confirm whether the relevant content is filled in strictly in accordance with the contract provisions. If problems are found during the inspection, corrections can be prompted in a timely manner to greatly reduce possible disputes caused by human judgment errors, thereby ensuring the smooth progress of document review and improving the efficiency of project completion acceptance. Overall, the above two core functions, from process optimization to standard control, take a two-pronged approach to ensure the orderly and efficient operation of supervision work in all aspects of engineering construction.

[0104] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A method for managing engineering supervision data, characterized in that: include: Step 1: Divide the data generation stages based on the project progress nodes and determine the data generation frequency corresponding to each stage; Step 2: Automatically assigning task priorities and time plans for supervision data based on the data generation frequency; Step 3: Set up a standard template for acceptance documents according to the project contract terms and verify its compliance; Step 4: File the compliance-verified acceptance documents into the database of the corresponding stage for subsequent review.

2. A method for managing engineering supervision data according to claim 1, characterized in that: The dividing of data generation stages based on project progress nodes and determining the data generation frequency corresponding to each stage further includes: Define multiple key progress nodes To represent the project life cycle; According to each key progress node Length of construction period , set the initial generation frequency ,in is a constant corresponding to unit time, using the formula Calculate the actual generation frequency ,in represents the workload index, represents the schedule reliability index; like Greater than the system capacity limit , then Limit to .

3. A method for managing engineering supervision data according to claim 2, characterized in that: Defining multiple key progress nodes further includes: Divide the project into main phases and secondary stage ,The main stage determines the high priority data; Set default weights based on a database of historical experience ; Using the formula Update overall workload index ; For the low-weight stage, adjust its generation frequency to .

4. A method for managing engineering supervision data according to claim 3, characterized in that: Also includes: Get real-time progress percentage from the current project , used to reflect the degree of completion; By formula Adjust the task urgency factor ,in is the basic parameter; when When the emergency mode is activated, the spawn frequency is increased to ; Record each time Value, used to correct the duration estimate of subsequent nodes and workload index .

5. A method for managing engineering supervision data according to claim 1, characterized in that: Also includes: Identify the set of acceptance criteria in the contract terms and classify it as a high-risk item , general items and supplementary items ; Set the initial check threshold , for high-risk items Focus on key items, and use lower default requirements for other items; According to the formula Dynamically evaluate the standard template compliance rate at each stage ; when When you click on the standard template, you will be prompted to modify the standard template for that part.

6. A method for managing engineering supervision data according to claim 4, characterized in that: The standard template compliance rate further includes the steps of: Decompose contract terms into a list of elements , and indicate the compliance level of each element ; Assume the formula Calculate the overall average compliance level, where is the length of the list; like or , if it exceeds the deviation tolerance, the element is marked; Summarize the percentage of flagged elements and generate alerts.

7. A method for managing engineering supervision data according to claim 5, characterized in that: The dynamic evaluation process is broken down into: Number of documents generated at each stage of collection and total planned demand ; Introduction ratio , and converted to a score through a linear mapping ; Use the following rules to determine whether the template is qualified: , then the template meets the requirements; otherwise, the template needs to be revised or supplemented; Store each matching result values ​​so that future predictions can be optimized to generate rules.

8. A method for managing engineering supervision data according to claim 1, characterized in that: The following processing logic has been added: Combined with weather factors and manpower scheduling Construct a set of external influencing variables ; With the initial formula Calculate the adjusted generation frequency, where are the coefficients of each factor, For collection members of; For unconventional conditions , triggering the manual review mechanism to prevent excessive errors; Save additional information under special circumstances for later tracing and analysis.

9. A method for managing engineering supervision data according to claim 7, characterized in that: The following improvements were incorporated into the calculations: Specify the expected delivery time for each acceptance document ; Using recursive function form Continuously calibrate expected delivery times; for The last few steps of the project can be estimated in advance to reserve enough time margin; Finally, a complete time distribution chart is formed for the project team's reference.

10. A project supervision data management system, according to the project supervision data management method of claim 9, characterized in that: include: The phase and frequency division module is used to divide the data generation phase based on the project progress nodes and determine the data generation frequency corresponding to each phase; a task allocation module, connected to the phase and frequency division modules, for automatically allocating task priorities and time plans for supervision data according to the data generation frequency; Template verification module, used to set standard templates for acceptance documents according to project contract terms and verify their compliance; The data archiving module is connected to the template verification module and is used to archive the acceptance data that have passed the compliance verification into the database of the corresponding stage for subsequent review.

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