Intelligent AI management method and system for project construction progress

Abstract

The invention relates to a project construction progress intelligent AI management method and system, and relates to the field of construction management technology, and the method comprises the steps: obtaining a project overall schedule; determining subsequent construction nodes and construction demand parameters in the project overall schedule; performing data analysis at each subsequent construction node to determine a construction prediction parameter, and determining a prediction construction state according to the construction demand parameter and the construction prediction parameter; when all the predicted construction states are not consistent with the feasible construction state, a work delay node and an effective node are defined; performing random distribution according to the effective nodes and the miswork nodes to generate a simulation plan table, and performing analysis according to the simulation plan table to define the simulation plan table without the miswork nodes as a reasonable plan table; and determining an adjustment plan table in the reasonable plan table, and updating the current project overall plan table according to the adjustment plan table. The project construction progress management method and device have the effect of improving the management effect of project construction progress management.

Description

Technical Field

[0001] This application relates to the field of construction management technology, and in particular to an intelligent AI management method and system for project construction progress. Background Technique

[0002] Project construction refers to the process of combining various resources (such as labor, materials, mechanical equipment, etc.) in accordance with the requirements of design documents and relevant standards and specifications, and through a series of orderly engineering activities, transforming the engineering design into actual buildings, structures or other engineering facilities.

[0003] Currently, the management of project construction progress generally involves formulating a reasonable construction progress plan, and clarifying the construction tasks and time nodes at each stage, so as to determine the project construction progress based on the completion degree of the corresponding construction tasks at each time node.

[0004] In the above related technologies, after formulating the construction progress plan, the construction tasks and time nodes are relatively fixed. However, in the actual construction process, situations such as insufficient raw materials at some construction nodes and poor weather conditions may affect the construction. In this case, generally, the tasks that can be constructed will be given priority, resulting in a deviation between the actual construction situation and the plan, and thus the management effect of the project construction progress is relatively poor and there is still room for improvement. Summary of the Invention

[0005] In order to improve the management effect of project construction progress management, this application provides an intelligent AI management method and system for project construction progress.

[0006] In the first aspect, this application provides an intelligent AI management method for project construction progress, adopting the following technical solutions: An intelligent AI management method for project construction progress includes: Obtain the overall project plan; Perform feature recognition in the overall project plan to determine the subsequent construction nodes, and determine the construction demand parameters at the subsequent construction nodes, where the construction demand parameters include project funds, material supply volume, and external environment; Perform data analysis at each subsequent construction node to determine the construction prediction parameters, and analyze based on the construction demand parameters and the construction prediction parameters to determine the predicted construction status of the subsequent construction nodes; When all the predicted construction statuses are not all consistent with the preset feasible construction status, define the subsequent construction nodes with inconsistent predicted construction status and feasible construction status as delayed nodes, and define the remaining subsequent construction nodes as effective nodes; Randomly distribute according to valid nodes and delay nodes to generate a simulation schedule plan, and analyze according to the simulation schedule plan to define the simulation schedule plan without delay nodes as a reasonable schedule plan; Determine an adjusted schedule plan from the reasonable schedule plan, and update the current overall project schedule plan according to the adjusted schedule plan.

[0007] Optionally, after the delay nodes are determined, the intelligent AI management method for project construction progress further includes: Obtain the delay time points of the delay nodes; Define the earliest delay time point as the earliest time point, and determine the nearest interval duration according to the earliest time point and the current time point; Judge whether the nearest interval duration is greater than the preset reference interval duration; If the nearest interval duration is greater than the reference interval duration, maintain the currently determined overall project schedule plan; If the nearest interval duration is not greater than the reference interval duration, determine a reasonable schedule plan.

[0008] Optionally, the steps of determining an adjusted schedule plan from the reasonable schedule plan include: Obtain the required precondition nodes corresponding to each subsequent construction node; Define the reasonable schedule plan in which the required precondition nodes corresponding to each subsequent construction node are all in front of the corresponding subsequent construction node as a valid schedule plan; Count according to the valid schedule plan to determine the number of valid plans; Judge whether the number of valid plans is equal to one; If the number of valid plans is less than one, output an invalid signal; If the number of valid plans is equal to one, determine the current valid schedule plan as the adjusted schedule plan; If the number of valid plans is greater than one, compare the valid schedule plan with the overall project schedule plan to determine the change interval duration of each subsequent construction node; Determine the node construction duration according to each subsequent construction node, and calculate according to the node construction duration and the corresponding change interval duration to determine the change impact ratio; Calculate according to each change impact ratio to determine the overall change ratio, and determine the overall change ratio with the smallest value according to the preset sorting rule, and determine the valid schedule plan corresponding to the overall change ratio as the adjusted schedule plan.

[0009] Optionally, after the invalid signal is output, the intelligent AI management method for project construction progress further includes: Define a similar time interval according to the current time point and a preset similar duration, and define the subsequent construction nodes within the similar time interval in the simulation schedule as internal construction nodes; Define the simulation schedule in which the demand pre - nodes corresponding to each internal construction node are all in front of the corresponding internal construction node as a short - term schedule; Analyze the short - term schedule and the overall project schedule to determine the overall change ratio, and determine the short - term schedule corresponding to the smallest overall change ratio as the adjusted schedule.

[0010] Optionally, after determining the overall change ratio, the intelligent AI management method for project construction progress further includes: Judge whether there are at least two valid schedules with the same and smallest overall change ratio; If there are not at least two valid schedules with the same and smallest overall change ratio, determine the valid schedule corresponding to the smallest overall change ratio as the adjusted schedule; If there are at least two valid schedules with the same and smallest overall change ratio, determine the valid schedule corresponding to the smallest overall change ratio as the alternative schedule; Determine the construction stability parameter of the construction demand parameter corresponding to each subsequent construction node according to the preset stable matching relationship; Calculate according to the construction stability parameter and the corresponding change impact ratio to update the change impact ratio. After updating the change impact ratio, recalculate the overall change ratio, and determine the alternative schedule corresponding to the smallest overall change ratio as the adjusted schedule.

[0011] Optionally, after recalculating the overall change ratio, the intelligent AI management method for project construction progress further includes: Judge whether there are at least two alternative schedules with the same and smallest overall change ratio; If there are not at least two alternative schedules with the same and smallest overall change ratio, determine the alternative schedule corresponding to the smallest overall change ratio as the adjusted schedule; If there are at least two alternative schedules with the same and smallest overall change ratio, delimit the nearby nodes in each alternative schedule according to the current time point according to the preset nearby duration; Determine the subsequent variable quantity in the valid schedule according to the current nearby node; Determine the subsequent variable quantity with the largest value according to the sorting rule, and determine the alternative schedule corresponding to the subsequent variable quantity as the adjusted schedule.

[0012] In the second aspect, the present application provides an intelligent AI management system for project construction progress, adopting the following technical solutions: An intelligent AI management system for project construction progress, comprising: An acquisition module, configured to acquire the overall project schedule plan; A processing module, connected to the acquisition module and the judgment module, for storing and processing information; A judgment module, connected to the acquisition module and the processing module, for judging information; The processing module performs feature recognition in the overall project schedule plan to determine subsequent construction nodes, and determines construction requirement parameters at the subsequent construction nodes, where the construction requirement parameters include project funds, material supply quantity, and external environment; The processing module performs data analysis at each subsequent construction node to determine construction prediction parameters, and analyzes based on the construction requirement parameters and the construction prediction parameters to determine the predicted construction status of the subsequent construction nodes; When the judgment module determines that all the predicted construction statuses are not all consistent with the preset feasible construction status, the processing module defines the subsequent construction nodes with inconsistent predicted construction status and feasible construction status as delay nodes, and defines the remaining subsequent construction nodes as valid nodes; The processing module randomly distributes according to the valid nodes and the delay nodes to generate a simulated schedule plan, and analyzes according to the simulated schedule plan to define the simulated schedule plan without delay nodes as a reasonable schedule plan; The processing module determines an adjusted schedule plan in the reasonable schedule plan, and updates the current overall project schedule plan according to the adjusted schedule plan.

[0013] In a third aspect, the present application provides a computer storage medium, which can store corresponding programs and has the characteristic of improving the management effect of project construction progress management. The following technical solution is adopted: A computer-readable storage medium stores a computer program that can be loaded and executed by a processor to perform any of the above intelligent AI management methods for project construction progress.

[0014] In summary, the present application includes at least one of the following beneficial technical effects: During the project construction process, the feasibility of subsequent construction nodes can be predicted, and the construction plan can be adjusted according to the prediction, so as to ensure the construction progress while improving the management effect of construction progress management; during the construction plan adjustment process, the duration of task node changes can be minimized to reduce the occurrence of situations where the adjusted construction plan does not meet the actual production requirements. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 is a flowchart of the intelligent AI management method for project construction progress.

[0016] Figure 2It is the module flow chart of the intelligent AI management method for the project construction progress. Specific implementation manners

[0017] In order to make the purpose, technical solutions and advantages of the present application clearer and more understandable, the following further details the present application in combination with Figure 1 - Figure 2 and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0018] The following further describes the embodiments of the present application in detail with reference to the accompanying drawings of the specification.

[0019] The embodiments of the present application disclose an intelligent AI management method for project construction progress. Referring to Figure 1 , the method flow of the intelligent AI management method for project construction progress includes the following steps: Step S100: Obtain the overall project schedule.

[0020] The overall project schedule is the construction schedule formulated before the construction of the current construction project. The overall project schedule contains each construction node, and the construction requirements of each construction node are marked on the overall project schedule.

[0021] Step S101: Perform feature recognition in the overall project schedule to determine the subsequent construction nodes, and determine the construction requirement parameters at the subsequent construction nodes, where the construction requirement parameters include project funds, material supply quantity, and external environment.

[0022] The subsequent construction nodes are the task nodes of all unfinished construction tasks that need to be completed subsequently at the current time point. The construction requirement parameters are the construction requirements that need to be met when processing the subsequent construction nodes, including project funds, material supply quantity, external environment, etc. Among them, the project funds are the amount of funds consumed when processing this construction node, the material supply quantity is the amount of raw materials required to complete the construction tasks of this construction node, and the external environment is the external weather requirements that need to be met when operating on the tasks of the construction node.

[0023] Step S102: Perform data analysis at each subsequent construction node to determine the construction prediction parameters, and analyze according to the construction requirement parameters and the construction prediction parameters to determine the predicted construction status of the subsequent construction nodes.

[0024] The construction prediction parameters are data parameters that can be obtained based on the construction data of the current construction site at the start of the tasks at subsequent construction nodes. For example, by combining the remaining project funds and the project funds required for the other subsequent construction nodes before a single subsequent construction node, the available project funds at that subsequent construction node can be obtained. Similarly, the material supply can also be predicted based on the consumption situation; the external environment can obtain data through weather forecasting; the predicted construction status is the status that reflects whether the node tasks at subsequent construction nodes can proceed normally after comparing the construction prediction parameters and the construction demand parameters.

[0025] Step S103: When not all the predicted construction statuses are consistent with the preset feasible construction status, define the subsequent construction nodes with inconsistent predicted construction status and feasible construction status as delay nodes, and define the remaining subsequent construction nodes as valid nodes.

[0026] The feasible construction status is the predicted construction status when the node tasks of the subsequent construction nodes set by the staff can be executed normally. When not all the predicted construction statuses are consistent with the feasible construction status, it means that the tasks of at least one construction node cannot be carried out as scheduled, that is, there will be delay situations. Therefore, delay nodes and valid nodes are defined to distinguish different subsequent construction nodes for subsequent analysis.

[0027] Step S104: Randomly distribute according to the valid nodes and the delay nodes to generate a simulation schedule, and analyze according to the simulation schedule to define the simulation schedule without delay nodes as a reasonable schedule.

[0028] The simulation schedule is a construction schedule obtained by randomly distributing the delay nodes and the valid nodes so that the subsequent construction nodes are connected in sequence. When there are no delay nodes, it means that the construction nodes can carry out construction operations normally under this simulation schedule. At this time, it is defined as a reasonable schedule to distinguish different simulation schedules for subsequent analysis.

[0029] Step S105: Determine an adjustment schedule in the reasonable schedule, and update the current overall project schedule according to the adjustment schedule.

[0030] The adjustment schedule is a schedule that meets the requirements in the reasonable schedule, which can be determined by random selection or according to steps S300 - S305; by replacing the adjustment schedule with the overall project schedule, the construction project can proceed normally while realizing the effective management of each construction node, thereby improving the construction management effect.

[0031] After the delay nodes are determined, the intelligent AI management method for project construction progress further includes: Step S200: Obtain the delay time point of the delay node.

[0032] The delay time point is the front end point of the time interval in which the delay node is located.

[0033] Step S201: Define the earliest delay time point as the earliest time point, and determine the nearest time interval based on the earliest time point and the current time point.

[0034] Defining the earliest time point is to identify the time point at which delays will occur earliest, facilitating subsequent analysis; the nearest time interval is the time interval between the current time point and the earliest time point.

[0035] Step S202: Determine whether the nearest time interval is greater than the preset reference time interval.

[0036] The reference time interval is the maximum nearest time interval set by the staff when it is determined that the distance of the delay situation is relatively close, resulting in a relatively high probability of delay. The purpose of the judgment is to find out whether the currently determined delay nodes are all relatively far away and do not need to be considered temporarily.

[0037] Step S2021: If the nearest time interval is greater than the reference time interval, maintain the currently determined overall project schedule.

[0038] When the nearest time interval is greater than the reference time interval, it means that all delay nodes are relatively far away. At this time, there is no need to consider the delay situation, and the construction project can be monitored according to the current overall project schedule.

[0039] Step S2022: If the nearest time interval is not greater than the reference time interval, determine a reasonable schedule.

[0040] When the nearest time interval is not greater than the reference time interval, it means that there will be a delay situation in a relatively short time. At this time, a reasonable schedule can be determined normally. When determining the reasonable schedule, only the construction nodes within the reference time interval need to be analyzed to see if they are delay nodes.

[0041] The steps for determining the adjusted schedule in the reasonable schedule include: Step S300: Obtain the required preceding nodes corresponding to each subsequent construction node.

[0042] The required preceding node is the construction node that needs to be completed before the subsequent construction node executes the node task. For example, this building needs to complete the construction node of laying the foundation first before the main building construction can be completed. The required preceding nodes of each construction node are recorded in the overall project schedule.

[0043] Step S301: Define a reasonable schedule in which all the requirement pre-nodes corresponding to the subsequent construction nodes are in front of the corresponding subsequent construction nodes as a valid schedule.

[0044] When all the requirement pre-nodes corresponding to the subsequent construction nodes are in front of the corresponding subsequent construction nodes, it indicates that the corresponding reasonable schedule can be normally executed. At this time, define it as a valid schedule to distinguish different reasonable schedules.

[0045] Step S302: Count according to the valid schedule to determine the number of valid plans.

[0046] The number of valid plans is the total number of the determined valid schedules.

[0047] Step S303: Judge whether the number of valid plans is equal to one.

[0048] The purpose of the judgment is to know whether there is a unique valid schedule that meets the requirements.

[0049] Step S3031: If the number of valid plans is less than one, output a signal indicating inability to be valid.

[0050] When the number of valid plans is less than one, it means that there is no valid schedule that can meet the requirements. At this time, output a signal indicating inability to be valid to identify this situation for subsequent analysis.

[0051] Step S3032: If the number of valid plans is equal to one, determine the current valid schedule as the adjusted schedule.

[0052] When the number of valid plans is equal to one, it means that there is only a unique valid schedule that meets the requirements. At this time, just determine it as the adjusted schedule.

[0053] Step S3033: If the number of valid plans is greater than one, compare the valid schedule with the overall project schedule to determine the time interval between changes of each subsequent construction node.

[0054] When the number of valid plans is greater than one, it means that there are multiple valid schedules that meet the requirements, and further analysis is needed to determine the unique adjusted schedule; the time interval between changes is the interval value of the time corresponding to the same subsequent construction node in the valid schedule and the overall project schedule, which can be obtained by calculating the positions of the front endpoints of the time periods corresponding to the subsequent construction nodes in the two schedules.

[0055] Step S304: Determine the node construction duration according to each subsequent construction node, and calculate based on the node construction duration and the corresponding time interval between changes to determine the proportion of the change impact.

[0056] The node construction duration is the theoretical duration required to process the node tasks of subsequent construction nodes, and the change impact ratio is the ratio obtained by dividing the change interval by the corresponding node construction duration.

[0057] Step S305: Calculate the overall change ratio according to the impact ratios of each change, and determine the overall change ratio with the smallest value according to a preset sorting rule, and determine the effective schedule corresponding to the overall change ratio as the adjustment schedule.

[0058] The overall change ratio is the parameter value determined by calculating the average value of all change impact ratios. The sorting rule is a method set by the staff to sort the values, such as the bubble method. The sorting rule can be used to determine the overall change ratio with the smallest value, that is, the deviation of each construction node under the corresponding effective schedule compared with the original schedule is the smallest. At this time, it can be determined as an adjusted schedule.

[0059] After the effective signal output fails, the intelligent AI management method for project construction progress also includes: Step S400: Delineate a similar time interval according to the current time point and a preset similar duration, and define subsequent construction nodes in the simulation schedule that are within the similar time interval as internal construction nodes.

[0060] The similar duration is a fixed duration set by the staff. The value of this duration is smaller than the benchmark interval. The similar time interval is a time interval with the current time point as the front end point and a width of the similar duration. Internal construction nodes are defined to distinguish different subsequent construction nodes for subsequent analysis.

[0061] Step S401: define a simulation schedule in which the demand predecessor nodes corresponding to each internal construction node are all located in front of the corresponding internal construction node as a short-term schedule.

[0062] When the demand preceding nodes corresponding to each internal construction node are all in front of the corresponding internal construction node, it means that the corresponding simulation schedule meets the normal construction requirements of each construction node. At this time, it is defined as a short-term schedule for identification.

[0063] Step S402: Analyze the short-term schedule and the overall project schedule to determine the overall change ratio, and determine the short-term schedule corresponding to the overall change ratio with the smallest value as the adjustment schedule.

[0064] By analyzing the short-term schedule, we can determine the short-term schedule that best meets the requirements of each construction node in a short period of time, and use it as the adjustment schedule to achieve progress supervision of short-term construction nodes.

[0065] After determining the overall change ratio, the intelligent AI management method for project construction progress further includes: Step S500: Determine whether there are at least two valid schedule plans with the same and minimum overall change ratio.

[0066] The purpose of the determination is to find out whether there are multiple valid schedule plans that meet the requirements, so as to determine the unique adjusted schedule plan.

[0067] Step S5001: If there are not at least two valid schedule plans with the same and minimum overall change ratio, determine the valid schedule plan corresponding to the minimum overall change ratio as the adjusted schedule plan.

[0068] When there are not at least two valid schedule plans with the same and minimum overall change ratio, it means there is only one valid schedule plan that meets the requirements. At this time, it can be determined as the adjusted schedule plan.

[0069] Step S5002: If there are at least two valid schedule plans with the same and minimum overall change ratio, determine the valid schedule plan corresponding to the minimum overall change ratio as the alternative schedule plan.

[0070] When there are at least two valid schedule plans with the same and minimum overall change ratio, it means there are multiple valid schedule plans that meet the requirements. At this time, they are determined as alternative schedule plans to distinguish different valid schedule plans, which is convenient for subsequent analysis.

[0071] Step S501: Determine the construction stability parameter of the construction demand parameter corresponding to each subsequent construction node according to the preset stable matching relationship.

[0072] The construction stability parameter is a parameter value reflecting the predicted stability degree of the construction node. For example, the higher the project payment amount in the construction demand parameter, the greater the probability of insufficient funds, and the worse the corresponding stability. For example, the required weather can be any weather other than typhoon days. Since the probability of typhoon days is relatively low, the corresponding stability is higher. Therefore, the construction stability parameters corresponding to different construction demand parameters are also different, and the stable matching relationship between the two is determined by the staff through multiple tests in advance, which will not be elaborated here.

[0073] Step S502: Calculate according to the construction stability parameter and the corresponding change impact ratio to update the change impact ratio. After the change impact ratio is updated, recalculate the overall change ratio, and determine the alternative schedule plan corresponding to the overall change ratio with the minimum value as the adjusted schedule plan.

[0074] By dividing the change impact ratio by the corresponding construction stability parameter, a new change impact ratio can be obtained, so as to re-analyze the change impact ratio to determine the adjusted schedule plan that meets the requirements.

[0075] After the overall change ratio is recalculated, the intelligent AI management method for project construction progress further includes: Step S600: Determine whether there are at least two alternative schedule plans with the same and minimum overall change ratio.

[0076] The purpose of the determination is to find out whether there are still multiple alternative schedule plans that meet the requirements after the overall change ratio is updated, so as to determine the only adjusted schedule plan.

[0077] Step S6001: If there are not at least two alternative schedule plans with the same and minimum overall change ratio, determine the alternative schedule plan corresponding to the overall change ratio with the minimum value as the adjusted schedule plan.

[0078] When there are not at least two alternative schedule plans with the same and minimum overall change ratio, it means that there is only one alternative schedule plan that meets the requirements. At this time, it can be determined as the adjusted schedule plan.

[0079] Step S6002: If there are at least two alternative schedule plans with the same and minimum overall change ratio, delimit a nearby node in each alternative schedule plan according to the preset nearby duration based on the current time point.

[0080] When there are at least two alternative schedule plans with the same and minimum overall change ratio, it means that there are multiple alternative schedule plans that meet the requirements and need further analysis and screening; the nearby duration is a fixed duration set by the staff, and the nearby node is the subsequent construction node within the interval with a width of the nearby duration with the current time point as the front end point.

[0081] Step S601: Determine the subsequent variable quantity in the effective schedule plan according to the current nearby node.

[0082] The subsequent variable quantity is the number of effective schedule plans in which the sorting of the nearby nodes in the effective schedule plan is the same as that of the nearby nodes in the current alternative schedule plan, that is, the number of schedule plans that can be changed subsequently when the sorting of the nearby nodes is the same.

[0083] Step S602: Determine the subsequent variable quantity with the largest value according to the sorting rule, and determine the alternative schedule plan corresponding to the subsequent variable quantity as the adjusted schedule plan.

[0084] The subsequent variable quantity with the largest value can be determined through the sorting rule, that is, under the condition of meeting the short-term requirements, this alternative schedule plan has more choices subsequently and is more convenient for subsequent node adjustment of the construction node. Therefore, it can be determined as the adjusted schedule plan.

[0085] Refer to Figure 2, based on the same inventive concept, an embodiment of the present invention provides an intelligent AI management system for project construction progress, including: An acquisition module, configured to acquire an overall project schedule; A processing module, connected to the acquisition module and the judgment module, and configured to store and process information; A judgment module, connected to the acquisition module and the processing module, and configured to judge information; The processing module performs feature recognition in the overall project schedule to determine subsequent construction nodes, and determines construction requirement parameters at the subsequent construction nodes, where the construction requirement parameters include project funds, material supply quantities, and external environments; The processing module performs data analysis at each subsequent construction node to determine construction prediction parameters, and analyzes based on the construction requirement parameters and the construction prediction parameters to determine the predicted construction status of the subsequent construction nodes; When the judgment module determines that all the predicted construction statuses are not all consistent with the preset feasible construction status, the processing module defines the subsequent construction nodes with inconsistent predicted construction status and feasible construction status as delay nodes, and defines the remaining subsequent construction nodes as valid nodes; The processing module randomly distributes according to the valid nodes and the delay nodes to generate a simulation schedule, and analyzes according to the simulation schedule to define the simulation schedule without delay nodes as a reasonable schedule; The processing module determines an adjustment schedule in the reasonable schedule, and updates the current overall project schedule according to the adjustment schedule; A delay situation analysis module, configured to analyze and process possible delay situations; An adjustment schedule determination module, configured to analyze the reasonable schedule to determine an adjustment schedule; A short-term schedule analysis module, configured to analyze and process a short-term schedule to determine an adjustment schedule; An effective schedule screening module, configured to screen and process multiple effective schedules that meet the requirements; An alternative schedule screening module, configured to screen and process multiple alternative schedules that meet the requirements.

[0086] Those skilled in the art can clearly understand that for the convenience and brevity of description, only the above division of each functional module is used as an example. In practical applications, the above functions can be allocated to different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working processes of the above-described system, device, and unit can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0087] An embodiment of the present invention provides a computer-readable storage medium storing a computer program that can be loaded and executed by a processor to implement an intelligent AI management method for project construction progress.

[0088] Computer storage media include, for example, various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs.

Claims

1. An intelligent AI management method for project construction progress, characterized in that: include: Get the overall project schedule; Perform feature identification in the overall project schedule to determine subsequent construction nodes, and determine construction demand parameters at subsequent construction nodes, where construction demand parameters include project funds, material supply, and external environment; Perform data analysis at each subsequent construction node to determine construction prediction parameters, and perform analysis based on construction demand parameters and construction prediction parameters to determine the predicted construction status of subsequent construction nodes; When all predicted construction states are not consistent with the preset feasible construction states, the subsequent construction nodes where the predicted construction states are inconsistent with the feasible construction states are defined as delayed construction nodes, and the remaining subsequent construction nodes are defined as valid nodes; A simulation schedule is generated by randomly distributing valid nodes and delayed nodes, and an analysis is performed based on the simulation schedule to define a simulation schedule without delayed nodes as a reasonable schedule; Determine the adjustment schedule from the reasonable schedule, and update the current overall project schedule based on the adjustment schedule.

2. The project construction progress intelligent AI management method according to claim 1 is characterized in that: After the delay node is determined, the intelligent AI management method for project construction progress also includes: Get the delayed working time point of the delayed working node; The earliest delayed working time point is defined as the earliest time point, and the most recent time interval is determined based on the earliest time point and the current time point; Determine whether the most recent interval time is greater than a preset benchmark interval time; If the most recent interval is longer than the baseline interval, the currently determined overall project schedule is maintained; If the most recent interval is not greater than the benchmark interval, a reasonable schedule is determined.

3. The intelligent AI management method for project construction progress according to claim 2 is characterized in that: The steps to determine the adjustment schedule in a reasonable schedule include: Obtain the required predecessor nodes corresponding to each subsequent construction node; A reasonable schedule in which the demand preceding nodes corresponding to each subsequent construction node are all located in front of the corresponding subsequent construction node is defined as an effective schedule; Counting is done according to the effective schedule table to determine the number of effective schedules; Determine whether the number of valid plans is equal to one; If the number of valid plans is less than one, an invalid signal is output; If the number of valid plans is equal to one, the current valid schedule is determined as the adjustment schedule; If the number of valid plans is greater than one, the effective plan table is compared with the overall project plan table to determine the time interval between changes in each subsequent construction node; Determine the node construction duration based on each subsequent construction node, and calculate the impact ratio of the change based on the node construction duration and the corresponding change interval; The overall change ratio is determined based on the impact ratio of each change, and the overall change ratio with the smallest value is determined based on the preset sorting rules, and the effective schedule corresponding to the overall change ratio is determined as the adjustment schedule.

4. The intelligent AI management method for project construction progress according to claim 3 is characterized in that: After the effective signal output fails, the intelligent AI management method for project construction progress also includes: Delimit the approximate time interval according to the current time point and the preset approximate duration, and define the subsequent construction nodes in the approximate time interval in the simulation schedule as internal construction nodes; A simulation schedule in which the demand preceding nodes corresponding to each internal construction node are all located in front of the corresponding internal construction node is defined as a short-term schedule; An analysis is conducted based on the short-term plan and the overall project plan to determine the overall change ratio, and the short-term plan corresponding to the overall change ratio with the smallest numerical value is determined as the adjustment plan.

5. The project construction progress intelligent AI management method according to claim 3 is characterized in that: At After the overall change ratio is determined, the intelligent AI management method for project construction progress also includes: Determine whether there are at least two valid schedules with the same and smallest overall change percentage; If there are not at least two valid schedules with the same and smallest overall change ratio, the valid schedule corresponding to the smallest overall change ratio is determined as the adjustment schedule; If there are at least two valid schedules with the same and smallest overall change ratio, the valid schedule corresponding to the smallest overall change ratio is determined as the alternative schedule; Determine the construction stability parameters of the construction demand parameters corresponding to each subsequent construction node according to the preset stable matching relationship; The change impact ratio is updated by calculation based on the construction stability parameters and the corresponding change impact ratio, and the overall change ratio is recalculated after the change impact ratio is updated, and the alternative schedule corresponding to the overall change ratio with the smallest value is determined as the adjustment schedule.

6. The intelligent AI management method for project construction progress according to claim 5 is characterized in that: After recalculating the overall change ratio, the intelligent AI management method for project construction progress also includes: Determine whether there are at least two alternative schedules with the same and smallest overall change ratio; If there are not at least two alternative schedules with the same and smallest overall change percentage, the alternative schedule corresponding to the smallest overall change percentage is determined as the adjustment schedule; If there are at least two alternative schedules with the same and smallest overall change ratio, the nearest node is determined in each alternative schedule according to the current time point based on the preset nearest duration; Determine the subsequent variable quantity in the effective plan table based on the current nearest node; The subsequent variable number with the largest value is determined according to the sorting rule, and the alternative schedule corresponding to the subsequent variable number is determined as the adjustment schedule.

7. An intelligent AI management system for project construction progress, characterized in that: include: The acquisition module is used to obtain the overall project schedule; A processing module, connected to the acquisition module and the judgment module, for storing and processing information; A judgment module, connected with the acquisition module and the processing module, for judging the information; The processing module performs feature recognition in the overall project schedule to determine subsequent construction nodes, and determines construction requirement parameters at the subsequent construction nodes, wherein the construction requirement parameters include project funds, material supply, and external environment; The processing module performs data analysis at each subsequent construction node to determine the construction prediction parameters, and performs analysis based on the construction demand parameters and the construction prediction parameters to determine the predicted construction status of the subsequent construction nodes; When the judgment module determines that all predicted construction states are not consistent with the preset feasible construction states, the processing module defines the subsequent construction nodes whose predicted construction states are inconsistent with the feasible construction states as delayed construction nodes, and defines the remaining subsequent construction nodes as valid nodes; The processing module randomly distributes valid nodes and delayed nodes to generate a simulation schedule, and analyzes the simulation schedule to define the simulation schedule without delayed nodes as a reasonable schedule; The processing module determines an adjustment schedule from the reasonable schedule, and updates the current overall project schedule based on the adjustment schedule.

8. A computer-readable storage medium, characterized in that: A computer program is stored which can be loaded by a processor and execute the method according to any one of claims 1 to 6.

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