Digital construction data processing method, server, medium and product

Abstract

The invention discloses a digital construction data processing method, a server, a medium and a product, and relates to the technical field of data processing, and the method comprises the steps: obtaining construction project data; performing preprocessing operation on the construction project data to obtain digital processing data; generating a digital construction data processing system based on the digital processing data; inputting the real-time construction data into a digital construction data processing system to obtain progress deviation, resource deviation, quality deviation and safety risk assessment; determining a construction adjustment suggestion based on the progress deviation, the resource deviation, the quality deviation and the safety risk assessment; and the construction adjustment suggestion is sent to the construction site end, so that the construction site end adjusts the construction project. By implementing the method, the efficiency and accuracy of construction management are improved.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a digital construction data processing method, server, medium and product. Background Art

[0002] With the continuous development of digital technology, digital construction has become a new trend in construction. At present, there are some construction data management platforms on the market, which store and summarize the acquired construction data, but have low data analysis capabilities, resulting in problems such as untimely information transmission and inaccurate data, which leads to inaccurate construction monitoring, affects the construction progress and quality, and brings great challenges to the overall progress, quality and safety of construction projects. Summary of the invention

[0003] The present application provides a digital construction data processing method, server, medium and product for improving the efficiency and accuracy of construction management.

[0004] In a first aspect, the present application provides a digital construction data processing method, which is applied to a server, and the method includes: obtaining construction project data, which includes on-site measurement data, construction precautions, schedule planning data and resource allocation data; performing preprocessing operations on the construction project data to obtain digital processing data, and the preprocessing operations include data cleaning, format conversion and data integration; generating a digital construction data processing system based on the digital processing data, and the digital construction data processing system includes a progress control system, a resource management system, a quality control system and a safety management system; inputting the real-time construction data into the digital construction data processing system to obtain progress deviation, resource deviation, quality deviation and safety risk assessment, and the real-time construction data includes real-time construction progress data, real-time resource usage data, real-time quality inspection data and real-time safety monitoring data; determining construction adjustment suggestions based on the progress deviation, the resource deviation, the quality deviation and the safety risk assessment; and sending the construction adjustment suggestions to the construction site end so that the construction site end adjusts the construction project.

[0005] By adopting the above technical solution, first, the server obtains the construction project data and performs preprocessing operations on it to obtain digital processing data. Then, the server generates a digital construction data processing system containing multiple subsystems based on the digital processing data, so that the digital construction data processing system can comprehensively and systematically process various types of data in the construction process. Then, after the server inputs the real-time construction data into the digital construction data processing system, it can obtain evaluation results in multiple aspects such as progress, resources, quality and safety. Finally, the server determines the construction adjustment suggestions based on the progress deviation, resource deviation, quality deviation and safety risk assessment and sends them to the construction site end, so that the construction site end adjusts the construction project. This method realizes the comprehensive digital management of the construction project, so that problems can be discovered in time and targeted adjustment suggestions can be given, which effectively improves the efficiency and accuracy of construction management. At the same time, due to the use of digital processing and systematic management, human errors are greatly reduced and the construction quality and safety are improved. This method can also realize real-time monitoring and rapid feedback of construction data, making construction management more flexible and proactive.

[0006] In combination with some embodiments of the first aspect, in some embodiments, the digital construction data processing system is generated based on the digital processing data, and the digital construction data processing system includes a progress control system, a resource management system, a quality control system and a safety management system, specifically including: determining the progress control system based on the progress plan data and a preset progress control template; determining the resource management system based on the resource configuration data and a preset resource management template; determining the quality control system based on the on-site measurement data, the construction precautions and a preset quality control template; determining the safety management system based on the construction precautions, the construction precautions and a preset safety management template; and obtaining the digital construction data processing system according to the progress control system, the resource management system, the quality control system and the safety management system.

[0007] By adopting the above technical solution, the specific steps of how to generate a digital construction data processing system based on digital processing data are described in detail. The server combines different types of construction project data with corresponding preset templates to determine the progress control system, resource management system, quality control system and safety management system respectively. The server integrates these progress control systems, resource management systems, quality control systems and safety management systems into a complete digital construction data processing system. The advantage of this method is that it makes full use of various types of construction project data and combines them with professional preset templates to ensure that the generated system can reflect the specific characteristics of the construction project and meet the standardized management requirements. At the same time, dividing construction management into multiple subsystems can achieve more refined and professional management, which is conducive to improving management efficiency and accuracy. In addition, this modular system construction method is also convenient for later maintenance and updating, and enhances the flexibility and adaptability of digital construction data processing.

[0008] In combination with some embodiments of the first aspect, in some embodiments, the real-time construction data is input into the digital construction data processing system to obtain progress deviation, resource deviation, quality deviation and safety risk assessment. The real-time construction data includes real-time construction progress data, real-time resource usage data, real-time quality inspection data and real-time safety monitoring data, specifically including: inputting the real-time construction progress data into the progress control system to obtain the progress deviation; inputting the real-time resource usage data into the resource management system to obtain the resource deviation; inputting the real-time quality inspection data into the quality control system to obtain the quality deviation; inputting the real-time safety monitoring data into the safety management system to obtain the safety risk assessment.

[0009] By adopting the above technical solution, the specific steps of how to input real-time construction data into the digital construction data processing system and obtain the evaluation results of progress, resources, quality and safety are described in detail. The server can obtain progress deviation, resource deviation, quality deviation and safety risk assessment by inputting different types of real-time construction data into the corresponding subsystems. The advantage of this method is that it realizes comprehensive and real-time monitoring of the construction process, so that problems and risks in various aspects can be discovered in time. By comparing the real-time construction data with the preset plan or standard, deviations can be quickly identified, which is conducive to taking corrective measures in time. In addition, this classification processing method also enables managers to have a clearer understanding of the specific situation of the project in various aspects, which helps to make more accurate decisions. At the same time, this digital construction data processing method also provides a basis for subsequent data analysis and experience summary, which is conducive to the continuous improvement of construction management level.

[0010] In combination with some embodiments of the first aspect, in some embodiments, the construction adjustment suggestion is determined based on the progress deviation, the resource deviation, the quality deviation and the safety risk assessment, and the real-time construction data includes real-time construction progress data, real-time resource usage data, real-time quality inspection data and real-time safety monitoring data, specifically including: determining the progress adjustment suggestion based on the progress deviation, the progress plan data and the real-time construction progress data; determining the resource adjustment suggestion based on the resource deviation, the resource configuration data and the real-time resource usage data; determining the quality adjustment suggestion based on the quality deviation and the construction precautions; determining the risk adjustment suggestion based on the safety risk assessment and the construction precautions; and using the progress adjustment suggestion, the resource adjustment suggestion, the quality adjustment suggestion and the risk adjustment suggestion as the construction adjustment suggestion.

[0011] By adopting the above technical solutions, the specific steps of determining construction adjustment suggestions based on schedule deviation, resource deviation, quality deviation and safety risk assessment are described in detail. The server formulates corresponding adjustment suggestions for the four aspects of schedule deviation, resource deviation, quality deviation and safety risk assessment, and integrates these adjustment suggestions into the final construction adjustment suggestions, realizing comprehensive and systematic construction management. The advantage of this method is that it can provide specific and operational improvement measures for each key link in the construction process. By combining real-time construction data, on-site measurement data, construction precautions, schedule planning data and resource allocation data, the pertinence and feasibility of the adjustment suggestions are ensured. This multi-dimensional adjustment suggestion can not only help the construction team correct deviations in a timely manner, but also prevent potential problems, thereby improving the overall construction efficiency and quality. At the same time, this systematic suggestion generation method also helps to standardize the construction management process, reduce human judgment errors, and improve the scientificity and consistency of management decisions.

[0012] In combination with some embodiments of the first aspect, in some embodiments, after the step of inputting the real-time construction data into the digital construction data processing system to obtain progress deviation, resource deviation, quality deviation and safety risk assessment, and the real-time construction data includes real-time construction progress data, real-time resource usage data, real-time quality inspection data and real-time safety monitoring data, the method also includes: determining the corresponding weights of the progress deviation, the resource deviation, the quality deviation and the safety risk assessment based on a preset evaluation indicator weight rule; determining the comprehensive construction quality assessment result according to the corresponding weights of the progress deviation, the resource deviation, the quality deviation and the safety risk assessment.

[0013] By adopting the above technical solution, the evaluation index weight rule is introduced to determine the weights of schedule deviation, resource deviation, quality deviation and safety risk assessment, and the comprehensive construction quality assessment result is calculated accordingly, realizing a comprehensive and scientific assessment of the construction quality. By assigning different weights to different indicators, the degree of influence of each factor on the overall construction quality can be more accurately reflected. This evaluation method improves the objectivity and comparability of the evaluation results, reduces the influence of subjective factors, and enables the evaluation results of different projects or different periods to be compared horizontally and vertically. In addition, this comprehensive evaluation method helps managers quickly grasp the overall situation of the construction project and facilitate macro decision-making.

[0014] In combination with some embodiments of the first aspect, in some embodiments, the method also includes: searching for historical construction project data in a standard engineering database whose similarity with the construction project data exceeds a preset similarity threshold; generating a project knowledge base based on the historical construction project data; and sending the project knowledge base to the construction site and the construction management end.

[0015] By adopting the above technical solutions, historical construction project data is found and a project knowledge base is generated, so that the construction team can refer to the practical experience of previous similar construction projects, thereby reducing duplication of work and trial and error time. The project knowledge base provides detailed historical data and successful cases, allowing the construction team to better follow proven construction methods and improve project quality.

[0016] In combination with some embodiments of the first aspect, in some embodiments, the method further includes: determining a construction difficulty sub-project according to the type of the construction project; and sending the start time and end time of the construction difficulty sub-project to the construction management end.

[0017] By adopting the above technical solution, the steps of identifying construction difficulty sub-items and sending the start and end times of construction difficulty sub-items to the construction management end are added, which can help managers identify and pay attention to key links and potential difficulties in the construction process in advance, which is conducive to the rational allocation of resources and the formulation of response strategies. By determining the construction difficulty sub-items according to the type of construction project, it can better adapt to the characteristics of different types of construction projects. Sending the start and end time of the construction difficulty sub-items to the management end helps managers to control the project progress more accurately, adjust the management focus in time, improve the pertinence and foresight of construction management, and effectively prevent and reduce problems and delays in the construction process.

[0018] In a second aspect, an embodiment of the present application provides a server, comprising: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to enable the server to execute the method described in the first aspect and any possible implementation method of the first aspect.

[0019] In a third aspect, an embodiment of the present application provides a computer program product comprising instructions, which, when executed on a server, enables the server to execute the method described in the first aspect and any possible implementation of the first aspect.

[0020] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, comprising instructions, which, when executed on a server, enable the server to execute the method described in the first aspect and any possible implementation of the first aspect.

[0021] It is understandable that the server provided in the second aspect, the computer program product provided in the third aspect, and the computer storage medium provided in the fourth aspect are all used to execute the method provided in the embodiment of the present application. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding method, which will not be repeated here.

[0022] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. By adopting the above technical solution, first, the server obtains the construction project data and performs preprocessing operations on it to obtain digital processing data. Then, the server generates a digital construction data processing system containing multiple subsystems based on the digital processing data, so that the digital construction data processing system can comprehensively and systematically process various types of data in the construction process. Then, after the server inputs the real-time construction data into the digital construction data processing system, it can obtain evaluation results in multiple aspects such as progress, resources, quality and safety. Finally, the server determines the construction adjustment suggestions based on the progress deviation, resource deviation, quality deviation and safety risk assessment and sends them to the construction site end, so that the construction site end adjusts the construction project. This method realizes the comprehensive digital management of the construction project, so that problems can be discovered in time and targeted adjustment suggestions can be given, which effectively improves the efficiency and accuracy of construction management. At the same time, due to the use of digital processing and systematic management, human errors are greatly reduced and the construction quality and safety are improved. This method can also realize real-time monitoring and rapid feedback of construction data, making construction management more flexible and proactive.

[0023] 2. By adopting the above technical solution, the evaluation index weight rule is introduced to determine the weights of progress deviation, resource deviation, quality deviation and safety risk assessment, and the comprehensive construction quality assessment results are calculated accordingly, realizing a comprehensive and scientific assessment of the construction quality. By assigning different weights to different indicators, the degree of influence of each factor on the overall construction quality can be more accurately reflected. This evaluation method improves the objectivity and comparability of the evaluation results, reduces the influence of subjective factors, and enables the evaluation results of different projects or different periods to be compared horizontally and vertically. In addition, this comprehensive evaluation method helps managers quickly grasp the overall situation of the construction project and facilitate macro decision-making.

[0024] 3. By adopting the above technical solution, the steps of identifying construction difficulty sub-items and sending the start and end times of construction difficulty sub-items to the construction management end are added, which can help managers identify and pay attention to key links and potential difficulties in the construction process in advance, which is conducive to the rational allocation of resources and the formulation of response strategies. By determining the construction difficulty sub-items according to the type of construction project, it can better adapt to the characteristics of different types of construction projects. Sending the start and end time of the construction difficulty sub-items to the management end helps managers to control the project progress more accurately, adjust the management focus in time, improve the pertinence and foresight of construction management, and effectively prevent and reduce problems and delays in the construction process. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a flow chart of a digital construction data processing method in an embodiment of the present application; Figure 2 is another flowchart of the digital construction data processing method in an embodiment of the present application; Figure 3 It is a schematic diagram of a physical device structure of a server in an embodiment of the present application. DETAILED DESCRIPTION

[0026] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to be used as limitations to the present application. As used in the specification of the present application, the singular expressions "one", "a kind of", "above", "the" and "this" are intended to also include plural expressions, unless there is a clear indication to the contrary in the context. It should also be understood that the term "and / or" used in the present application refers to any or all possible combinations comprising one or more of the listed items.

[0027] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, unless otherwise specified, "plurality" means two or more.

[0028] The following is a description of the process of the method provided by this implementation. Figure 1 , which is a flow chart of the digital construction data processing method in an embodiment of the present application.

[0029] S101, obtaining construction project data, the construction project data including on-site measurement data, construction precautions, schedule data and resource allocation data; The server can obtain these construction project data through various channels and methods. For example, on-site measurement data may come from various sensors at the construction site, such as distance meters, levels, GPS positioning devices, etc.; construction precautions may come from text files exported from professional project management software, which contain various safety warnings, quality requirements and other information; schedule data can be electronic documents stored in the form of Gantt charts or network diagrams; resource allocation data can include allocation plans for resources such as manpower, equipment, and materials, which may be stored in Excel tables or professional project management software. The server can obtain these construction project data through API interfaces, database connections, file uploads and other methods.

[0030] It should be noted that the formats and sources of construction project data may vary. In addition, the server needs to update these construction project data regularly or in real time to ensure that subsequent processing is based on the latest project information.

[0031] S102, performing a preprocessing operation on the construction project data to obtain digitally processed data, wherein the preprocessing operation includes data cleaning, format conversion, and data integration; For construction project data, first, the server performs data cleaning to remove possible errors, duplications, or invalid data. For example, the server needs to correct obviously erroneous field measurement data, delete duplicate schedule data, or supplement missing resource configuration data. Next, the server performs format conversion to unify data from different sources and formats into a standard format, which may involve converting Excel tables into JSON format, converting CAD drawing data into analyzable numerical data, or converting text-based construction precautions into structured data. Finally, the server performs data integration to associate different types of data to form a complete, structured data set, that is, digitally process data. For example, the server can associate field measurement data with schedule data, or combine resource configuration data with construction precautions. This process may involve complex operations such as data mapping, relationship establishment, and conflict resolution.

[0032] It should be emphasized that the specific method of preprocessing operations may vary depending on the data type and project requirements, and the server needs to be adjusted according to actual conditions.

[0033] S103, generating a digital construction data processing system based on the digitally processed data, wherein the digital construction data processing system includes a progress control system, a resource management system, a quality control system, and a safety management system; The server uses digital processing data to build a comprehensive digital construction data processing system, which is composed of a progress control system, a resource management system, a quality control system, and a safety management system. The following is a construction method of the progress control system, resource management system, quality control system, and safety management system: Build progress control system: a) Data collection: schedule planning data and preset schedule control templates.

[0034] b) Algorithm design: (1) Implement the critical path method (CPM) algorithm. (2) Develop a schedule deviation detection algorithm.

[0035] c) Progress monitoring interface: (1) Implement interactive Gantt chart. (2) Develop progress deviation warning interface.

[0036] Suppose there is a building construction project that includes the following tasks: foundation construction (estimated 10 days); main structure (estimated 30 days, dependent on the completion of the foundation); interior decoration (estimated 20 days, dependent on the main structure); exterior decoration (estimated 15 days, dependent on the main structure).

[0037] The progress control system will work like this: display these tasks and their dependencies on the Gantt chart; update the completion progress of each task in real time. If the foundation construction is delayed to 12 days, the progress control system will mark the foundation construction task in red on the Gantt chart, recalculate the start time of subsequent tasks, and evaluate the impact on the overall construction period. If the delay exceeds the preset threshold (such as 10%), send an early warning notification.

[0038] Build a resource management system: a) Data collection: resource configuration data and preset resource management templates b) Algorithm design: (1) Implement resource balancing algorithm. (2) Develop resource optimization allocation model.

[0039] c) Resource monitoring interface: (1) Develop a resource usage dashboard. (2) Implement resource usage anomaly alerts.

[0040] Continuing with the above construction project, assume that we have the following resources: workers: 50 people; concrete mixers: 2 units; steel bars: 100 tons.

[0041] The resource management system can work like this: automatically allocate resources according to task requirements, such as 20 workers, 1 mixer, and 30 tons of steel bars are needed for foundation construction. Real-time monitoring of resource usage is displayed on the dashboard. If an abnormal resource usage is detected, such as a sudden surge in steel bar usage, the resource management system will highlight the abnormality on the dashboard, send an alert to the project manager, and automatically adjust the resource allocation plan for subsequent tasks.

[0042] Build a quality control system: a) Data collection: field measurement data, construction precautions and preset quality control templates.

[0043] b) Algorithm design: (1) Implement data collection and analysis algorithms. (2) Develop quality assessment models.

[0044] c) Quality report interface: (1) Develop a quality inspection report generator. (2) Realize visual display of quality issues.

[0045] Example: For main structure construction, the quality control system can operate as follows: store concrete strength standards (such as C30 concrete 28-day compressive strength of not less than 30MPa); collect actual strength data through sensors or manual input. If it is detected that the strength does not meet the standard, mark the problem in the quality report, generate a detailed quality deviation report, and send an alert to the quality manager to automatically adjust the subsequent construction plan and increase the maintenance time.

[0046] Building a safety management system: a) Data collection: on-site measurement data, construction precautions and preset safety management templates.

[0047] b) Algorithm design: (1) Implement risk prediction algorithm based on historical data. (2) Develop real-time safety status assessment model.

[0048] c) Security monitoring interface: (1) Develop a security status dashboard. (2) Implement security incident alarm and emergency response processes.

[0049] Example: In a high-altitude work scenario, the safety management system can operate like this: store high-altitude work safety standards (such as safety belts must be used and wind speeds must not exceed level 6); use IoT devices to monitor workers' safety belt usage and on-site wind speeds in real time. If violations or dangerous situations are detected, a warning is displayed on the safety dashboard and an instant alert is sent to the on-site safety officer. If the situation is serious (such as strong winds), a stop-work order is automatically issued.

[0050] The schedule control system, resource management system, quality control system and safety management system work together through data sharing and event triggering mechanisms: When the schedule control system detects a delay, it notifies the resource management system to reassess resource requirements, informs the quality control system that the inspection frequency may need to be increased, and alerts the safety management system to possible risks of rushing the work.

[0051] When the resource management system discovers resource shortages, it notifies the progress control system to assess the impact, suggests the quality control system to pay attention to processes that may be affected, and reminds the safety management system to pay attention to potential safety hazards caused by insufficient resources.

[0052] When the quality control system discovers quality problems, it notifies the progress control system that rework may be required, suggests the resource management system to allocate additional resources, and reminds the safety management system to pay attention to the safety risks that may be caused by quality problems.

[0053] When the safety management system discovers a safety hazard, it notifies the progress control system that work may need to be suspended, requires the resource management system to deploy safety equipment or personnel, and reminds the quality control system to pay attention to the process quality that may be affected by safety issues.

[0054] It should be noted that the specific functions and implementation methods of the progress control system, resource management system, quality control system and safety management system may vary depending on the needs of the construction project. The server should be able to flexibly configure and adjust system functions according to the characteristics of different projects.

[0055] Optionally, in general, generating a digital construction data processing system based on digitally processed data can be achieved in the following ways: determining a progress control system based on progress plan data and a preset progress control template; determining a resource management system based on resource configuration data and a preset resource management template; determining a quality control system based on on-site measurement data, construction precautions and a preset quality control template; determining a safety management system based on on-site measurement data, construction precautions and a preset safety management template; and obtaining a digital construction data processing system based on the progress control system, resource management system, quality control system and safety management system.

[0056] S104, inputting the real-time construction data into the digital construction data processing system to obtain progress deviation, resource deviation, quality deviation and safety risk assessment, wherein the real-time construction data includes real-time construction progress data, real-time resource usage data, real-time quality inspection data and real-time safety monitoring data; The server continuously receives real-time construction data from the construction site, including real-time construction progress data, real-time resource usage data, real-time quality inspection data, and real-time safety monitoring data. These real-time construction data may come from various sources, such as mobile terminals of on-site workers, smart device sensors, drone monitoring systems, etc. For example, real-time construction progress data may include the completion timestamp of each task; real-time resource usage data may include material consumption, equipment operating time, man-hours, etc.; real-time quality inspection data may include concrete strength test results, steel bar position deviation, etc.; real-time safety monitoring data may include worker location information, equipment operating status, environmental parameters, etc. The server inputs these real-time construction data into the previously constructed digital construction data processing system, which automatically compares and analyzes with the preset plan or preset standard. Through this comparison, the digital construction data processing system can calculate various deviations and evaluation results. For example, progress deviation may be manifested as delay or advance of certain processes; resource deviation may show excessive consumption or saving of certain materials; quality deviation may indicate that certain components do not meet design requirements; safety risk assessment may identify potential dangerous areas or unsafe behaviors. It should be noted that this process is dynamic and continuous, and the server needs to be able to process large amounts of data in real time and update various deviations and evaluation results in a timely manner.

[0057] Optionally, in general, real-time construction data is input into a digital construction data processing system to obtain progress deviation, resource deviation, quality deviation and safety risk assessment. This can be achieved in the following ways: input real-time construction progress data into a progress control system to obtain progress deviation; input real-time resource usage data into a resource management system to obtain resource deviation; input real-time quality inspection data into a quality control system to obtain quality deviation; input real-time safety monitoring data into a safety management system to obtain safety risk assessment.

[0058] S105, determining a construction adjustment suggestion based on the progress deviation, the resource deviation, the quality deviation and the safety risk assessment; The server uses the various deviations and evaluation results obtained previously, combined with preset decision rules and optimization algorithms, to generate specific construction adjustment suggestions. This process may involve multi-dimensional analysis and trade-offs. For example, for progress deviations, the server can suggest adjusting the process sequence, increasing resource input, or optimizing the workflow; for resource deviations, it can propose adjusting the procurement plan, optimizing resource allocation, or introducing new construction technologies; for quality deviations, it can suggest strengthening quality control in specific links, changing material suppliers, or adjusting construction methods; for safety risks, it can propose adding safety protection measures, adjusting operation time, or strengthening personnel training. When generating these adjustment suggestions, the server needs to consider the mutual influence of multiple factors. For example, increasing resource input to meet the deadline may bring additional safety risks, so the server needs to balance these factors in the suggestions. In addition, the server may also prioritize different types of suggestions based on the specific circumstances and historical data of the project. For example, at some key nodes, progress may be regarded as the most important factor; while in some special processes, quality control may be given the highest priority. It should be emphasized that these adjustment suggestions should be specific and actionable, rather than general guidance. The server may need to give detailed implementation steps and expected results based on the specific circumstances of the project.

[0059] Optionally, in general, determining construction adjustment suggestions based on progress deviation, resource deviation, quality deviation and safety risk assessment can be implemented in the following ways: determining progress adjustment suggestions based on progress deviation, schedule planning data and real-time construction progress data; determining resource adjustment suggestions based on resource deviation, resource allocation data and real-time resource usage data; determining quality adjustment suggestions based on quality deviation and construction considerations; determining risk adjustment suggestions based on safety risk assessment and construction considerations; and using progress adjustment suggestions, resource adjustment suggestions, quality adjustment suggestions and risk adjustment suggestions as construction adjustment suggestions.

[0060] S106: Send the construction adjustment suggestion to the construction site so that the construction site can adjust the construction project.

[0061] The server needs to ensure that the construction adjustment suggestions can be effectively and timely transmitted to the relevant personnel at the construction site, which may involve multiple communication methods and terminal devices. For example, for some urgent or important construction adjustment suggestions, the server may send SMS or email reminders at the same time; for information that needs to be communicated on a large scale on site, the server may display the construction adjustment suggestions on the large screen on site. The presentation form of the construction adjustment suggestions may also vary depending on the recipient. For project managers, it may be necessary to provide a comprehensive adjustment plan and expected impact analysis; for specific construction workers, it may only be necessary to provide specific guidance directly related to their work. The server also needs to be able to track the implementation of these construction adjustment suggestions. For example, it may require on-site personnel to provide feedback after implementing the adjustment, or determine whether the adjustment has been implemented through changes in real-time construction data. If it is detected that the construction adjustment suggestions have not been implemented in a timely manner, the server may need to issue a reminder or upgrade notification. In addition, the server should also be able to learn and optimize based on the effect of the adjustment to improve future suggestion generation. It should be noted that in some cases, human intervention may be required to confirm or modify the construction adjustment suggestions generated by the server, so the server should provide a corresponding human-computer interaction interface.

[0062] By adopting the above technical solution, first, the server obtains the construction project data and performs preprocessing operations on it to obtain digital processing data. Then, the server generates a digital construction data processing system containing multiple subsystems based on the digital processing data, so that the digital construction data processing system can comprehensively and systematically process various types of data in the construction process. Then, after the server inputs the real-time construction data into the digital construction data processing system, it can obtain evaluation results in multiple aspects such as progress, resources, quality and safety. Finally, the server determines the construction adjustment suggestions based on the progress deviation, resource deviation, quality deviation and safety risk assessment and sends them to the construction site end, so that the construction site end adjusts the construction project. This method realizes the comprehensive digital management of the construction project, so that problems can be discovered in time and targeted adjustment suggestions can be given, which effectively improves the efficiency and accuracy of construction management. At the same time, due to the use of digital processing and systematic management, human errors are greatly reduced and the construction quality and safety are improved. This method can also realize real-time monitoring and rapid feedback of construction data, making construction management more flexible and proactive.

[0063] The following is a more detailed description of the process of the method provided by this implementation. Figure 2 , is another flow chart of the digital construction data processing method in an embodiment of the present application.

[0064] S201, obtaining construction project data, the construction project data including on-site measurement data, construction precautions, schedule data and resource allocation data; For details, please refer to step S101, which will not be described in detail here.

[0065] S202, performing a preprocessing operation on the construction project data to obtain digitally processed data, wherein the preprocessing operation includes data cleaning, format conversion, and data integration; For details, please refer to step S102, which will not be described in detail here.

[0066] S203, generating a digital construction data processing system based on the digitally processed data, wherein the digital construction data processing system includes a progress control system, a resource management system, a quality control system, and a safety management system; For details, please refer to step S103, which will not be described in detail here.

[0067] S204, inputting the real-time construction data into the digital construction data processing system to obtain progress deviation, resource deviation, quality deviation and safety risk assessment, wherein the real-time construction data includes real-time construction progress data, real-time resource usage data, real-time quality inspection data and real-time safety monitoring data; For details, please refer to step S104, which will not be described in detail here.

[0068] S205, determining the weights corresponding to the progress deviation, the resource deviation, the quality deviation and the safety risk assessment based on a preset evaluation indicator weight rule; Evaluation indicator weight rules are usually determined based on project management best practices and the needs of specific projects. Evaluation indicator weight rules are used to determine the importance of each evaluation indicator (schedule deviation, resource deviation, quality deviation, safety risk) in the overall evaluation. The following is a common weight allocation scheme: Schedule Variance: 30%, Rationale: Timely completion of construction projects is critical to most stakeholders.

[0069] Resource deviation: 25%, Rationale: Resource efficiency directly affects project cost and sustainability.

[0070] Quality bias: 30%, Rationale: Product or service quality is critical to customer satisfaction and project success.

[0071] Safety risk: 15%, Rationale: While safety is important, it may not impact daily operations as frequently as other factors in many projects.

[0072] The server determines the weight of each evaluation indicator (schedule deviation, resource deviation, quality deviation, safety risk) according to the preset evaluation indicator weight rules.

[0073] S206, determining a comprehensive construction quality assessment result according to the progress deviation, the resource deviation, the quality deviation, and the weights corresponding to the safety risk assessment; The server quantifies the progress deviation, resource deviation, quality deviation and safety risk assessment obtained in step S104 to obtain a numerical value, and the quantification method is not limited here. Then, the numerical values ​​corresponding to the progress deviation, resource deviation, quality deviation and safety risk assessment are multiplied by the corresponding weights respectively, and finally all weighted scores are added to obtain a comprehensive construction quality assessment result.

[0074] S207, determining a construction adjustment suggestion based on the progress deviation, the resource deviation, the quality deviation and the safety risk assessment; For details, please refer to step S105, which will not be described in detail here.

[0075] S208, sending the construction adjustment suggestion to the construction site end, so that the construction site end adjusts the construction project; for details, please refer to step S106, which will not be repeated here.

[0076] S209, determining construction difficulty sub-projects according to the type of the construction project; The server pre-stores the corresponding relationship between construction project types and construction difficulty sub-projects, as follows: Construction Project Type Construction Difficulty Sub-projects Highway Engineering Roadbed treatment, bridge construction, tunnel construction, road paving Construction Engineering Foundation construction, structural construction, decoration construction, electrical pipeline construction Municipal Engineering Pipeline network construction, landscaping, and decoration projects Water Conservancy Project Dam construction, river management, sluice construction …… …… After determining the type of construction project, the sub-projects with construction difficulties can be immediately determined.

[0077] S210, sending the start time and end time of the construction difficulty sub-project to the construction management end; The construction difficulty sub-item is searched in the progress control system, and its start time and end time are determined. Continuing with the example of step S103, if the construction difficulty sub-item is the main structure, assuming that its start time is determined as July 1 in the progress control system, combined with its estimated completion time of 30 days, the end time is July 31.

[0078] S211, searching the standard engineering database for historical construction project data whose similarity with the construction project data exceeds a preset similarity threshold; The standard engineering database collects a large amount of historical construction project data, including planning, design, construction, completion data, etc. The standard engineering database stores these historical construction project data in a structured form.

[0079] The server calculates the similarity with the preset key information of each historical construction project in the standard engineering database based on the preset key information in the construction project data. The similarity algorithm can be designed based on indicators such as text similarity, scale difference, and regional difference.

[0080] The server filters out historical construction project data whose similarity with the construction project data exceeds a preset similarity threshold, which is helpful for the planning and implementation of the construction project.

[0081] S212, generating a project knowledge base according to the historical construction project data; The server collects and organizes historical construction project data, including project progress logs, quality inspection reports, engineering settlement materials, etc., and extracts valuable knowledge points from them, such as construction plans under specific terrain conditions, material usage skills, quality control experience, progress management methods, etc. The server designs the framework of the project knowledge base based on the categories and contents of the knowledge points, and can consider using a graph database to represent the relationship between knowledge. The server annotates and classifies the extracted knowledge points to obtain a project knowledge base.

[0082] S213. Send the project knowledge base to the construction site and the construction management end.

[0083] The server establishes a communication connection with the construction site end and the construction management end, and then sends the project knowledge base to the construction site end and the construction management end. The communication connection method is not limited here.

[0084] The following describes the server in the embodiment of the present invention from the perspective of hardware processing. Figure 3 , is a schematic diagram of a physical device structure of a server in an embodiment of the present application.

[0085] It should be noted that Figure 3 The structure of the server shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0086] like Figure 3As shown, the server includes a central processing unit (CPU) 301, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 302 or the program loaded from the storage part 308 to the random access memory (RAM) 303, such as executing the method described in the above embodiment. In RAM 303, various programs and data required for system operation are also stored. CPU 301, ROM 302 and RAM 303 are connected to each other through bus 304. Input / output (I / O) interface 305 is also connected to bus 304.

[0087] The following components are connected to the I / O interface 305: an input section 306 including an audio input device, a button switch, etc.; an output section 307 including a liquid crystal display (LCD) and an audio output device, an indicator light, etc.; a storage section 308 including a hard disk, etc.; and a communication section 309 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 309 performs communication processing via a network such as the Internet. A drive 310 is also connected to the I / O interface 305 as needed. A removable medium 311, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 310 as needed so that a computer program read therefrom is installed into the storage section 308 as needed.

[0088] In particular, according to an embodiment of the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present invention includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication section 309, and / or installed from a removable medium 311. When the computer program is executed by a central processing unit (CPU) 301, various functions defined in the present invention are performed.

[0089] It should be noted that specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present invention, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in conjunction with an instruction execution system, apparatus, or device.

[0090] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present invention. Each box in the flowchart or block diagram may represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions marked in the box may also occur in an order different from that marked in the accompanying drawings.

[0091] Specifically, the server of this embodiment includes a processor and a memory. The memory stores a computer program. When the computer program is executed by the processor, the digital construction data processing method provided in the above embodiment is implemented.

[0092] As another aspect, the present invention further provides a computer-readable storage medium, which may be included in the server described in the above embodiment; or may exist independently without being assembled into the server. The above storage medium carries one or more computer programs, and when the above one or more computer programs are executed by a processor of the server, the server implements the digital construction data processing method provided in the above embodiment.

[0093] 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 cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

[0094] As used in the above embodiments, the term "when..." may be interpreted to mean "if..." or "after..." or "in response to determining..." or "in response to detecting...", depending on the context. Similarly, the phrases "upon determining..." or "if (the stated condition or event) is detected" may be interpreted to mean "if determining..." or "in response to determining..." or "upon detecting (the stated condition or event)" or "in response to detecting (the stated condition or event)", depending on the context.

[0095] Those skilled in the art can understand that to implement all or part of the processes in the above-mentioned embodiments, the processes can be completed by computer programs to instruct related hardware, and the programs can be stored in computer-readable storage media. When the programs are executed, they can include the processes of the above-mentioned method embodiments. The aforementioned storage media include: ROM or random access memory RAM, magnetic disk or optical disk and other media that can store program codes.

Claims

1. A digital construction data processing method, characterized in that: Applied to a server, the method comprises: Acquire construction project data, wherein the construction project data includes on-site measurement data, construction precautions, schedule data, and resource allocation data; Performing preprocessing operations on the construction project data to obtain digitally processed data, wherein the preprocessing operations include data cleaning, format conversion, and data integration; Generate a digital construction data processing system based on the digitally processed data, wherein the digital construction data processing system includes a progress control system, a resource management system, a quality control system and a safety management system; Inputting the real-time construction data into the digital construction data processing system to obtain progress deviation, resource deviation, quality deviation and safety risk assessment, wherein the real-time construction data includes real-time construction progress data, real-time resource usage data, real-time quality inspection data and real-time safety monitoring data; Determining a construction adjustment suggestion based on the schedule deviation, the resource deviation, the quality deviation, and the safety risk assessment; The construction adjustment suggestion is sent to the construction site so that the construction site can adjust the construction project.

2. The method according to claim 1, characterized in that The digital construction data processing system is generated based on the digital processing data, and the digital construction data processing system includes a progress control system, a resource management system, a quality control system and a safety management system, specifically including: Determining the schedule control system based on the schedule planning data and a preset schedule control template; Determining the resource management system based on the resource configuration data and a preset resource management template; Determining the quality control system based on the on-site measurement data, the construction precautions and a preset quality control template; Determining the safety management system based on the on-site measurement data, the construction precautions and a preset safety management template; The digital construction data processing system is obtained according to the progress control system, the resource management system, the quality control system and the safety management system.

3. The method according to claim 1, characterized in that The real-time construction data is input into the digital construction data processing system to obtain progress deviation, resource deviation, quality deviation and safety risk assessment. The real-time construction data includes real-time construction progress data, real-time resource usage data, real-time quality inspection data and real-time safety monitoring data, specifically including: Inputting the real-time construction progress data into the progress control system to obtain the progress deviation; Inputting the real-time resource usage data into the resource management system to obtain the resource deviation; Inputting the real-time quality detection data into the quality control system to obtain the quality deviation; The real-time security monitoring data is input into the security management system to obtain the security risk assessment.

4. The method according to claim 1, characterized in that: The construction adjustment suggestion is determined based on the progress deviation, the resource deviation, the quality deviation and the safety risk assessment, and the real-time construction data includes real-time construction progress data, real-time resource usage data, real-time quality inspection data and real-time safety monitoring data, specifically including: Determine a progress adjustment suggestion based on the progress deviation, the progress plan data and the real-time construction progress data; Determining a resource adjustment suggestion based on the resource deviation, the resource configuration data, and the real-time resource usage data; Determining quality adjustment suggestions based on the quality deviations and the construction precautions; Determining risk adjustment recommendations based on the safety risk assessment and the construction considerations; The schedule adjustment suggestion, the resource adjustment suggestion, the quality adjustment suggestion and the risk adjustment suggestion are used as construction adjustment suggestions.

5. The method according to claim 1, characterized in that After the step of inputting the real-time construction data into the digital construction data processing system to obtain progress deviation, resource deviation, quality deviation and safety risk assessment, wherein the real-time construction data includes real-time construction progress data, real-time resource usage data, real-time quality inspection data and real-time safety monitoring data, the method further includes: Determine the weights corresponding to the progress deviation, the resource deviation, the quality deviation and the safety risk assessment based on a preset evaluation indicator weight rule; A comprehensive construction quality assessment result is determined based on the progress deviation, the resource deviation, the quality deviation and the weights corresponding to the safety risk assessment.

6. The method according to claim 1, characterized in that The method further comprises: Searching in a standard engineering database for historical construction project data whose similarity to the construction project data exceeds a preset similarity threshold; generating a project knowledge base based on the historical construction project data; The project knowledge base is sent to the construction site end and the construction management end.

7. The method according to claim 1, characterized in that The method further comprises: Determine the construction difficulty sub-items according to the type of the construction project; The start time and end time of the construction difficulty sub-project are sent to the construction management end.

8. A server, characterized in that: The server includes: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to enable the server to execute the method described in any one of claims 1-7.

9. A computer-readable storage medium comprising instructions, characterized in that: When the instructions are executed on a server, the server is caused to execute the method according to any one of claims 1 to 7.

10. A computer program product, characterized in that When the computer program product is run on a server, the server is caused to execute the method according to any one of claims 1 to 7.

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