Intelligent schedule editing method, schedule editing system, medium and product

Abstract

The present application relates to the technical field of construction project schedule, and in particular to an intelligent schedule editing method, schedule editing system, medium and product, the method comprising obtaining target project data, the target project data being project data for which a construction schedule needs to be generated; determining a target construction project identifier from the target project data, and determining a target plan BIM model and a target precipitation data model corresponding to the target project data based on the target construction project identifier and a preset process plan management model that has been built, wherein the construction project identifier corresponding to the target precipitation data model is consistent with the target construction project identifier; determining a target process-level plan based on the target project data, the target plan BIM model and the target precipitation data model, and providing feedback on the target process-level plan. The present application facilitates improving the accuracy and convenience of generating a construction schedule.

Description

Technical Field

[0001] The present application relates to the technical field of construction project progress plan, and in particular to an intelligent progress plan editing method, plan editing system, medium and product. Background Art

[0002] In the field of construction project management, the construction progress plan can set a clear construction timetable and phased construction goals for the entire construction project. In addition, the construction progress plan can also plan the construction resources required during the construction process to ensure that the corresponding construction resource support can be obtained during the construction process, thereby ensuring that the construction project can proceed smoothly.

[0003] In the traditional method of determining the construction schedule, the construction schedule is generally obtained by the relevant construction schedule preparers based on their own preparation experience, estimating the project volume, construction personnel, construction machinery configuration and work efficiency, or by reverse calculation based on the construction period. The accuracy of the construction schedule is poor, and when major design changes occur or major changes occur in the construction organization, the original construction schedule needs to be adjusted or modified in terms of planned items and logical relationships. If the schedule adds resource data such as physical project volume, construction personnel, construction machinery, and the individual resource data are not linked, it will be more complicated to readjust the schedule and resource data. Summary of the invention

[0004] In order to improve the accuracy and convenience of generating construction schedules, thereby improving the efficiency and quality of engineering management in the construction industry, the present application provides an intelligent schedule editing method, schedule editing system, medium and product.

[0005] In the first aspect, the present application provides an intelligent schedule editing method, which adopts the following technical solutions:

[0006] An intelligent schedule editing method, comprising:

[0007] Acquire target project data, where the target project data is project data for which a construction schedule needs to be generated;

[0008] Determine a target construction project identifier from the target project data, and determine a target plan BIM model and a target precipitation data model corresponding to the target project data based on the target construction project identifier and a preset process plan management model that has been established, wherein the construction project identifier corresponding to the target precipitation data model is consistent with the target construction project identifier;

[0009] Based on the target project data, the target plan BIM model and the target sedimentation data model, a target process level plan is determined, and the target process level plan is fed back.

[0010] By adopting the above technical scheme, multiple process-level construction plans corresponding to the target project data can be automatically generated through the preset process plan management model, which reduces the complexity of manual intervention in the process of generating process-level construction plans and improves work efficiency. Since the target BIM model in the preset process plan management model is constructed based on the target project data, and the sedimentation data model contained in the preset process plan management model is based on historical construction data, the multiple process-level construction plans obtained by using the preset process plan management model have high accuracy. When using a construction plan with high accuracy for construction, it is easy to ensure that the construction project is completed on time and with quality, thereby facilitating improving the efficiency and quality of the engineering management process in the construction industry.

[0011] In a possible implementation, the process of building the preset process plan management model includes:

[0012] Acquire historical construction data and historical construction record logs within a historical preset time period, wherein the historical construction data includes construction project identification, process resource input, process efficiency quota, and process average construction period;

[0013] Processing the historical construction data according to the historical construction record log to obtain a sedimentation data model, each sedimentation data model corresponding to a construction project identifier;

[0014] Obtain multiple standard process BIM models, and identify the construction project identifier corresponding to each standard process BIM model;

[0015] Based on the construction project identification, a model linkage relationship is established between each standard process BIM model and the sedimentation data model, and the preset process plan management model is obtained based on the model linkage relationship.

[0016] By adopting the above technical solution, a sedimentation data model is established after sorting out the historical construction data, which facilitates the sorting and analysis of the construction characteristics of different construction projects. Then, by identifying the construction project identifier corresponding to each standard process BIM model, a linkage relationship between the standard process BIM model and the sedimentation data model is established, which facilitates the digital management of construction data.

[0017] In a possible implementation, the processing of the historical construction data according to the historical construction record log to obtain a sedimentation data model includes:

[0018] Determine interference data features based on the historical construction records, and perform noise reduction processing on the historical construction data based on the interference data features to obtain construction sedimentation data;

[0019] Acquire preset plan sample information, and determine variable precipitation data and constant precipitation data based on the preset plan sample information and the construction precipitation data, wherein the preset plan sample information includes multiple processes and the correlation relationship between each process;

[0020] Identify the process identifiers contained in the preset plan sample information, and determine the sedimentation data sub-model corresponding to each process identifier based on each process identifier, the variable sedimentation data, and the constant sedimentation data, wherein each process identifier corresponds to a construction project identifier;

[0021] The sedimentation data model is determined according to all process identifiers and the sedimentation data sub-model corresponding to each process identifier.

[0022] By adopting the above technical solution, by identifying interference data features and eliminating historical construction data containing interference data features, it is convenient to improve the effectiveness of historical construction data. In addition, by eliminating historical construction data with interference properties before determining the sedimentation data model, it is convenient to improve the accuracy when determining the sedimentation data model. In addition, through the association relationship between the construction project identifier and the sedimentation data sub-model, the corresponding sedimentation data sub-model can be directly called from the sedimentation data model through the construction project identifier, which is convenient for improving the convenience of calling while reducing the probability of calling confusion during the calling process.

[0023] In a possible implementation, determining the target plan BIM model corresponding to the target project data based on the target construction project identifier and the established preset process plan management model includes:

[0024] According to the target construction project identifier, determine the corresponding standard process BIM model from the preset process planning management model, wherein the standard process BIM model includes basic parameters of the model;

[0025] Based on the built-in basic parameters, determine the parameter information to be added from the target project data;

[0026] The parameter information to be added is subjected to normalized quantity calculation processing to obtain normalized quantity calculation data, and the normalized quantity calculation data is superimposed on the standard process BIM model to obtain the target plan BIM model corresponding to the target project data.

[0027] By adopting the above technical scheme, the parameter information to be added is determined from the target project data through the built-in basic parameters, so as to improve the richness of the superimposed content, thereby improving the applicability of the target plan BIM model. In addition, the parameter information to be added is normalized and calculated, so as to reduce the noise or abnormal values ​​in the parameter information to be added, thereby reducing the impact of the parameter information to be added on the target plan BIM model, thereby improving the stability and reliability of the target plan BIM model. Finally, by superimposing the normalized calculation data, it is convenient to provide richer data support for the application of the target plan BIM model, thereby improving the accuracy of the target plan BIM model in the application stage.

[0028] In a possible implementation, determining a target process-level plan based on the target project data, the target plan BIM model, and the target sedimentation data model includes:

[0029] Identify the variable identifiers corresponding to the variable precipitation data and the constant identifiers corresponding to the constant precipitation data in the target precipitation data, and determine the target constant precipitation data from the target project data based on the constant identifiers;

[0030] Determining construction collection data based on the variable precipitation data and the constant precipitation data;

[0031] A target process-level plan is determined based on the construction collection data and the target plan BIM model.

[0032] By adopting the above technical solution, by identifying the variable sedimentation data and constant sedimentation data in the target sedimentation data, and based on the corresponding variable identifiers and constant identifiers, respectively, the key data related to the target project can be accurately determined and extracted, so as to avoid confusion and misuse in the data extraction process, thereby facilitating the improvement of the accuracy and reliability of the construction collection data. Finally, the target process-level plan is automatically generated based on the construction collection data and the target plan BIM model, which helps to reduce the complexity and error rate of manual operations while facilitating the improvement of the efficiency of the construction project management process.

[0033] In a possible implementation, when an optimization modification instruction is received, after determining the target process level plan, the method further includes:

[0034] Identifying the optimization modification information contained in the optimization modification instruction, wherein the optimization modification information includes plan optimization modification information, labor organization optimization modification information, and construction process selection optimization modification information;

[0035] Identify the plan parameter information contained in the plan optimization and modification information, and optimize and modify the target process-level plan based on the plan parameter information to obtain a planned process-level plan, wherein the plan parameter information includes basic configuration, construction scope, project planning, and policy and environmental information;

[0036] Identify the labor organization parameter information contained in the labor organization optimization modification information, and optimize and modify the planned process level plan based on the labor organization parameter information to obtain a labor organization process level plan, wherein the labor organization parameter information includes fixed resource input and fixed construction period;

[0037] Identify the process selection parameter information contained in the construction process selection optimization and modification information, and optimize and modify the labor organization process-level plan based on the process selection parameter information to obtain an optimized process-level plan, wherein the process selection parameter information includes material selection and construction process.

[0038] By adopting the above technical solution and identifying the optimization modification information in the optimization modification instructions, it is easy to ensure that the optimization modification of the target process level plan is based on clear and specific guidance, thereby facilitating the improvement of the accuracy of the optimization modification. In addition, since the planning parameter information, labor organization parameter information and process selection parameter information cover a wide range, when the planning parameter information is used for optimization modification, it is easy to meet different modification optimization requirements, thereby helping to improve the user experience.

[0039] In a possible implementation, when a display requirement instruction is detected, the method further includes:

[0040] Identify demand information in the display demand instruction, the demand information includes display scope, display type and display time period, the display type includes display type of work, display labor, display construction materials, display flow section and display construction material procurement plan;

[0041] Determining a display resource curve based on the demand information and the target process level plan corresponding to the display demand instruction;

[0042] When the display demand instruction includes a predetermined team and a predetermined structural stage, identifying the construction area and construction object corresponding to each construction moment in the target process level plan, and determining the display plan diagram corresponding to the target process level plan based on the construction area and construction object corresponding to each moment;

[0043] A visual feedback result is generated according to the display resource curve and the display plan diagram.

[0044] By adopting the above technical solution, the resource display curve and the display plan diagram are fed back together, so that the relevant project visitors can intuitively view the input resources and specific implementation plans required for the target process level plan. Based on the resource display curve, it is convenient for the relevant project visitors to understand the demand and input of various resources in different time periods, so as to facilitate more effective resource allocation. The display plan diagram allows the relevant project visitors to clearly view and understand the specific implementation plan and schedule of the target process level plan.

[0045] In a second aspect, the present application provides an electronic device, which adopts the following technical solution:

[0046] A plan editing system, the plan editing system comprising:

[0047] at least one processor;

[0048] Memory;

[0049] At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the above-mentioned intelligent schedule editing method.

[0050] In a third aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution:

[0051] A computer-readable storage medium includes: a computer program that can be loaded by a processor and execute the above-mentioned intelligent schedule editing method.

[0052] In a fourth aspect, the present application provides a computer program product, which adopts the following technical solution:

[0053] A computer program product includes a computer program, and when the computer program is executed by a processor, the intelligent schedule editing method is implemented.

[0054] In summary, the present application includes at least one of the following beneficial technical effects:

[0055] Through the preset process plan management model, multiple process-level construction plans corresponding to the target project data can be automatically generated. In the process of generating process-level construction plans, the complexity of manual intervention is reduced and work efficiency is improved. Since the target BIM model in the preset process plan management model is constructed based on the target project data, and the sedimentation data model contained in the preset process plan management model is based on historical construction data, the multiple process-level construction plans obtained by using the preset process plan management model have high accuracy. When using a construction plan with high accuracy for construction, it is easy to ensure that the construction project is completed on time and with quality, thereby facilitating improving the efficiency and quality of the engineering management process in the construction industry.

[0056] By identifying the variable sedimentation data and constant sedimentation data in the target sedimentation data, and based on the corresponding variable identifiers and constant identifiers respectively, the key data related to the target project can be accurately determined and extracted, so as to avoid confusion and misuse in the data extraction process, thereby facilitating the improvement of the accuracy and reliability of the construction collection data. Finally, the target process-level plan is automatically generated based on the construction collection data and the target plan BIM model, which helps to reduce the complexity and error rate of manual operations while facilitating the improvement of efficiency in the construction project management process. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 It is a flowchart of an intelligent schedule editing method in an embodiment of the present application;

[0058] Figure 2 It is a schematic diagram of the construction process of a preset process planning management model in an embodiment of the present application;

[0059] Figure 3 This is a schematic diagram of preset sample information in an embodiment of the present application;

[0060] FIG4 (a) is a schematic diagram of uploading a calculation file in an embodiment of the present application;

[0061] FIG4( b ) is a schematic diagram of uploading a model file in an embodiment of the present application;

[0062] FIG5 (a) is a schematic diagram of a basic configuration in an embodiment of the present application;

[0063] FIG5( b ) is a schematic diagram of setting a construction range in an embodiment of the present application;

[0064] FIG5( c ) is a schematic diagram of a project planning setting in an embodiment of the present application;

[0065] FIG5( d ) is a schematic diagram of setting policy and environment information in an embodiment of the present application;

[0066] FIG6 (a) is a schematic diagram of a project quantity setting in an embodiment of the present application;

[0067] FIG6( b ) is a schematic diagram of a model association in an embodiment of the present application;

[0068] FIG6 (c) is a schematic diagram of a project quantity calculation in an embodiment of the present application;

[0069] FIG. 7 ( a ) is a schematic diagram of a setting for optimizing fixed resource input in an embodiment of the present application;

[0070] FIG. 7 ( b ) is a schematic diagram of a setting for optimizing a fixed construction period in an embodiment of the present application;

[0071] Figure 8 It is a schematic diagram of a setting for process selection optimization in an embodiment of the present application;

[0072] FIG9 (a) is a schematic diagram showing a monthly plan in an embodiment of the present application;

[0073] FIG9( b ) is a schematic diagram showing a weekly plan in an embodiment of the present application;

[0074] FIG9 (c) is a schematic diagram showing a Gantt chart in an embodiment of the present application;

[0075] FIG10 (a) is a schematic diagram of a labor force curve in an embodiment of the present application;

[0076] FIG10( b ) is a schematic diagram showing a plan diagram in an embodiment of the present application;

[0077] Fig.11 It is a structural diagram of a plan editing system in an embodiment of the present application. DETAILED DESCRIPTION

[0078] The following is combined with Figure 1-11 This application is described in further detail.

[0079] After reading this specification, those skilled in the art may make non-creative modifications to this embodiment as needed, but such modifications are protected by patent law as long as they are within the scope of the claims of this application.

[0080] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0081] It should be noted that in the optional embodiments of the present application, the object information and other related data involved, when the embodiments in the present application are applied to specific products or technologies, need to obtain the permission or consent of the object, and the collection, use and processing of the relevant data need to comply with the relevant laws, regulations and standards of the relevant countries and regions. In other words, if the embodiments of the present application involve data related to the object, it needs to be obtained with the authorization and consent of the object, the authorization and consent of the relevant departments, and in compliance with the relevant laws, regulations and standards of the country and region. If personal information is involved in the embodiments, the acquisition of all personal information needs to obtain the consent of the individual. If sensitive information is involved, the separate consent of the information subject needs to be obtained. The embodiments also need to be implemented with the authorization and consent of the object.

[0082] Specifically, the embodiment of the present application provides an intelligent schedule editing method, which is executed by a schedule editing system, which can be a server or a terminal device, wherein the server can be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services. The terminal device can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc., but is not limited thereto. The terminal device and the server can be directly or indirectly connected via wired or wireless communication, which is not limited in the embodiment of the present application.

[0083] refer to Figure 1 , Figure 1 : is a flowchart of an intelligent schedule editing method in an embodiment of the present application, the method includes steps S110 to S130, wherein:

[0084] Step S110: Acquire target project data, where the target project data is the project data for which a construction schedule needs to be generated.

[0085] Specifically, since it is necessary to generate a construction schedule based on the target project data, the target project data must at least include basic project information, such as project name, project description, project construction scope, dependencies between projects, and risk factors, etc. The dependencies between projects are used to characterize the built-in process relationships between projects, for example, process A must be started only after process B is completed. Risk factors are used to characterize potential hazards that may affect the project progress, such as weather, regulations, site restrictions, etc. By adding a description of risk factors to the target project data, it is easy to improve the accuracy of determining the construction progress.

[0086] The target project data can be uploaded to the plan editing system by the relevant project personnel, and the relevant access personnel can log in to the plan editing system through the key and select the project data to be accessed, or the relevant access personnel can trigger the acquisition instruction, and the plan editing system can obtain the project data required to generate the construction schedule in real time according to the acquisition instruction. The method of obtaining the target project data is not specifically limited in the embodiments of the present application.

[0087] Step S120: Determine the target construction project identifier from the target project data, and determine the target plan BIM model and target sedimentation data model corresponding to the target project data based on the target construction project identifier and the established preset process plan management model. The construction project identifier corresponding to the target sedimentation data model is consistent with the target construction project identifier.

[0088] Specifically, each target project data includes a target construction project identifier, wherein a feature recognition method can be used to identify the target construction project identifier from the target project data. The target construction project identifier can be a number, character, etc. The specific content is not limited in the embodiments of the present application, as long as the target project data can be distinguished.

[0089] The preset process planning management model that has been built includes multiple standard process BIM models and sedimentation data models. Among them, different project data correspond to different standard process BIM models. The target plan BIM model corresponds to the target project data, that is, the model parameters contained in the target plan BIM model correspond to the target project data. The target plan BIM model can be used to display the three-dimensional construction scene corresponding to the target project data and the facility layout and spatial structure contained in the construction scene. For example, there are several steel beams in total, and the material used for the steel beams is Q235 or Q345, etc.

[0090] The sedimentation data model is generated by sedimentation processing of historical construction data. The sedimentation processing process includes noise reduction processing, that is, removing abnormal data from historical construction data and other operations. After noise reduction processing of historical construction data, it is convenient to improve the effectiveness of the sedimentation data model. Different construction project identifiers correspond to different sedimentation data models. Each sedimentation data model contains the reasonable resource input, process efficiency quota, average process cycle and environmental impact factors corresponding to the corresponding construction project. Based on each target project data and the corresponding sedimentation data model, the target construction project can be operated at the process level. In the preset process planning management model, the construction project identifier can be used to realize the linkage operation between the planned BIM model and the sedimentation data model.

[0091] Step S130: Based on the target project data, the target plan BIM model and the target sedimentation data model, determine the target process-level plan and provide feedback on the target process-level plan.

[0092] Specifically, based on the target construction project identification corresponding to the target project data, the linkage between the target planning BIM model and the target sedimentation data model can be realized. After the target project data drives the target planning BIM model and the target sedimentation data model that have a linkage relationship, multiple process-level construction plans corresponding to the target project data can be generated. The multiple process-level construction plans are used to represent the complete construction plan of the entire construction project in each period.

[0093] For the embodiments of the present application, a plurality of process-level construction plans corresponding to the target project data can be automatically generated through a preset process plan management model, which reduces the complexity of manual intervention in the process of generating process-level construction plans and improves work efficiency. Since the target BIM model in the preset process plan management model is constructed based on the target project data, and the sedimentation data model contained in the preset process plan management model is obtained based on historical construction data, the plurality of process-level construction plans obtained using the preset process plan management model have high accuracy. When construction is carried out using a construction plan with high accuracy, it is convenient to ensure that the construction project is completed on time and with quality, thereby facilitating improving the efficiency and quality of the engineering management process in the construction industry.

[0094] Furthermore, the process of building the preset process planning management model may specifically include steps S1 to S4, such as Figure 2 As shown, where:

[0095] Step S1: Acquire historical construction data and historical construction record logs within a historical preset time period, wherein the historical construction data includes construction project identification, process resource input, process efficiency quota, and process average construction period.

[0096] Specifically, the historical preset time period can be 5 days before the current moment, or 7 days before the current moment. The specific duration is not limited in the embodiment of this application and can be set by relevant technical personnel. Historical construction data is used to characterize the construction situation within the historical preset time period. The historical construction data can be the construction data corresponding to different historical project data. The historical construction record log is to record special cases in the historical construction process, for example, a certain day's construction plan, the actual completion plan percentage, the reason for non-completion, etc., which can be recorded by relevant staff through the recording equipment they carry and uploaded to the plan editing system. The specific upload method is not specifically limited in the embodiment of this application.

[0097] One construction project data corresponds to one construction project identifier, which can be used to characterize the construction area and construction line of the corresponding construction project data, such as residential construction, commercial construction, etc. Each construction type includes multiple construction processes. For example, when the construction type is residential construction, the construction process includes foundation construction, structural construction, and decorative construction, among which foundation construction includes ground leveling, foundation pit excavation, foundation treatment, and foundation backfilling, structural construction includes formwork installation, steel bar binding, concrete pouring, etc., and decorative construction includes wall construction, floor construction, and ceiling construction.

[0098] Process resource input refers to the various input resources needed in each construction process stage during the construction process. Input resources include but are not limited to human resources, material resources, financial resources, time resources, etc. Human resources can be divided into construction personnel, including workers of various types of work, such as masons, carpenters, bricklayers, etc.; it also includes technical personnel, who are used to provide technical support and guidance in the processing of each construction process. Material resources can include construction materials such as cement, sand, steel bars, bricks, etc., and equipment such as excavators, cranes, mixers, etc. Financial resources include project advance payments, progress payments, settlement payments, etc., which are used to pay construction workers' wages and purchase construction materials and equipment, etc. Budget control is used to control cost expenditures during the construction process, etc.

[0099] The process resource input refers to the total amount of resources required to complete a certain construction process during the construction process. The total amount of resources for a certain construction process is a necessary condition to ensure that the corresponding process can be completed on time, in quality and quantity. For example, when the construction process is 50 cubic meters of foundation pit backfill, the corresponding process resource input may include human resource input, which may be 5-10 general workers and 1 on-site management personnel; material resource input, which may be the selection of sand or gravel as the backfill material, the use of an excavator to transport the backfill material to the foundation pit, and the use of an iron rake to level the surface of the backfill material; equipment resource investment, which may include 1-2 transport vehicles for transporting the backfill material to the periphery of the foundation pit.

[0100] The process efficiency quota is the standard of labor consumption required to complete the corresponding construction process under specific production technology and organizational conditions. For example, when the construction process is 50 cubic meters of foundation pit backfill, the corresponding foundation pit backfill method is preset as the lower backfill method, and the soil layer thickness is about 5 meters. Among them, the process efficiency quota can be that the earth backfill volume is 50 cubic meters; the earth and stone consumption is 1.1 cubic meters of earth and stone per cubic meter of earth backfill; each cubic meter of foundation pit backfill requires XX yuan.

[0101] The average duration of a process is the average length of time required to complete the corresponding construction process. Different historical construction data correspond to different average durations of processes. Even if the construction process is the same, the corresponding average cycles of the processes may also be different. Since the average duration of a process in the historical construction data corresponds to the actual construction conditions in the historical construction stage, the working temperature, working humidity, and workers' skills and experience may be different in the historical construction stage, the same construction process may result in different average durations of processes.

[0102] Step S2: Process the historical construction data according to the historical construction record log to obtain a sedimentation data model, each sedimentation data model corresponds to a construction project identifier.

[0103] Specifically, the sedimentation data model includes a data processing flow, and since the sedimentation data model is generated after optimization and sedimentation of a large amount of historical construction data, the data processing flow included in the sedimentation data model has high accuracy in the data processing process. The use of the sedimentation data model can improve the speed and accuracy of data processing.

[0104] Since the historical construction record logs contain factors that affect the progress or completion of the construction, the historical construction record logs are used to process the historical construction data, which can improve the quality of the historical construction data and thus facilitate the improvement of the accuracy of the sedimentation data model. When processing the historical construction data according to the historical construction record logs, the accidental conditions contained in the historical construction data are mainly eliminated, such as abnormal weather conditions such as heavy snow, heavy rain, and strong winds. There may also be abnormal conditions such as insufficient supply from suppliers and sudden failures of construction equipment. Under the influence of such accidental factors, the construction cycle may be shortened. Therefore, it is not appropriate to precipitate the historical construction data generated under such abnormal conditions. Since the historical construction data may contain data or noise that is irrelevant to the construction of the sedimentation data model, the data may interfere with the training process of the sedimentation data model. Therefore, after removing these noises through data preprocessing, it is convenient to make the sedimentation data model focus more on key data. When constructing the sedimentation data model, using the preprocessed historical construction data can reduce the consumption of computing resources. Because the preprocessing process has cleaned and converted the historical construction data, the sedimentation data model does not need to perform these denoising operations during training, which is convenient to improve resource utilization efficiency.

[0105] Furthermore, the historical construction data is processed according to the historical construction record log to obtain a precipitation data model, which may specifically include:

[0106] Determine the interference data characteristics based on the historical construction records, perform noise reduction processing on the historical construction data based on the interference data characteristics, and obtain construction sedimentation data; obtain the preset plan sample information, and determine the variable sedimentation data and the constant sedimentation data based on the preset plan sample information and the construction sedimentation data, the preset plan sample information includes multiple processes, and the correlation between each process; identify the process identifier contained in the preset plan sample information, and determine the sedimentation data sub-model corresponding to each process identifier based on each process identifier, the variable sedimentation data and the constant sedimentation data, each process identifier corresponds to a construction project identifier; determine the sedimentation data model based on all process identifiers and the sedimentation data sub-model corresponding to each process identifier.

[0107] Specifically, the interference data features are accidental influencing factors. When determining the interference data features, they can be identified from historical construction record logs by means of feature recognition, wherein a large language model can be used to extract features from historical construction record logs, and the extracted features can include key information such as time, location, personnel, and events. Pattern matching algorithms and other technologies can also be used to extract key information related to construction activities from historical construction logs. The method of extracting features is not specifically limited in the embodiments of this application. After the features are extracted, a large language model can be used to classify the features, and then the interference data features are determined based on the classification results. The historical construction data containing the interference data features are eliminated to achieve noise reduction processing, and the obtained construction sedimentation data does not contain the interference data features.

[0108] The preset sample information is used to characterize the relationship between various construction processes, such as Figure 3 As shown, for example, the construction of plain brick grouting wall, the construction of plain brick painting wall and the construction of cement mortar wall are parallel construction processes, wherein the sinking process node included in the construction of plain brick grouting wall is the surface layer construction, the sinking process node included in the construction of plain brick painting wall is the finishing layer construction and the surface layer construction, and the sinking process node included in the construction of cement mortar wall is the surface layer construction and the base layer construction. The preset plan sample information can be uploaded to the plan editing system by relevant technical personnel, and the specific content is not specifically limited in the embodiments of the present application. The sedimentation data includes variable sedimentation data and constant sedimentation data, wherein the variable sedimentation data has variability, that is, its value or attribute may change with changes in time, conditions or other factors; while the constant sedimentation data has stability, that is, its value or attribute does not change with changes in external conditions. When determining variable sedimentation data and constant sedimentation data based on preset plan sample information and construction sedimentation data, it is possible to analyze whether a certain data item will change under different experimental conditions or construction conditions. If it will change, then the data item can be determined to be variable sedimentation data; if it will not change, then the data item can be determined to be constant sedimentation data.

[0109] After identifying the variable sedimentation data and constant sedimentation data contained in the construction sedimentation data, the construction sedimentation data can be classified according to the preset plan sample information, so that the classification result is the process sedimentation data corresponding to different construction processes. The specific process may include:

[0110] According to the preset plan sample information, the segmented sedimentation data associated with each construction process is identified from the construction sedimentation data, that is, the node sedimentation data corresponding to each process identifier, and the variable sedimentation data and constant sedimentation data contained in the node sedimentation data are identified to form the calculation flow corresponding to the process identifier, that is, determine the sedimentation data sub-model corresponding to the process identifier, and when new data corresponding to the process identifier is received, the sedimentation data sub-model corresponding to the process identifier can be directly used to perform relevant calculations.

[0111] Using the above method, a sedimentation data sub-model corresponding to each process identifier can be obtained, and then according to the association relationship between each process identifier, that is, the association relationship between each process, a sedimentation data model is obtained. The sedimentation data model contains multiple sedimentation data sub-models, each of which corresponds to a construction project identifier, that is, the corresponding sedimentation data sub-model can be called from the sedimentation data model through the construction project identifier.

[0112] Step S3: Acquire multiple standard process BIM models, and identify the construction project identifier corresponding to each standard process BIM model.

[0113] Specifically, the standard process BIM model is based on the basic BIM model and superimposed with project information. Different standard process BIM models have different corresponding construction project identifiers. For example, the standard process BIM models corresponding to commercial building construction and school building construction are different. The standard process BIM model corresponding to commercial building construction may be superimposed with project information unique to residential building construction, such as the material properties of buildings, floors, flow sections, and beams on each floor. Multiple standard process BIM models can be determined by relevant staff based on actual operating experience and uploaded to the plan editing system. After identifying the unique project information contained in each standard process BIM model, manual labels can be added to each standard process BIM model based on the construction project identifier corresponding to each standard process BIM model.

[0114] Step S4: Based on the construction project identification, a model linkage relationship is established between each standard process BIM model and the sedimentation data model, and a preset process plan management model is obtained based on the model linkage relationship.

[0115] Specifically, the corresponding standard process BIM model can be determined from multiple standard process BIM models through the construction project identification, and the corresponding precipitation data sub-model can be determined from the precipitation data model. The model linkage relationship between the standard process BIM model and the precipitation data model is established based on the construction project identification. Through the preset process plan management model, the linkage operation between the standard process BIM model and the precipitation data model can be realized. In addition, the preset process plan management model also includes preset algorithms such as deep neural network, critical path identification algorithm, hybrid genetic algorithm and Monte Carlo simulation, and also includes schedule type, where the schedule type can be weekly plan, monthly plan, total plan, etc. Among them, data call is realized through the preset algorithm, which is convenient for improving the efficiency and accuracy of the data call process. For example, when the critical path identification algorithm is used in the data call process, it is convenient to determine the key data from a large amount of data, so as to improve the efficiency of the data call process; when the hybrid genetic algorithm is used in the data call process, it is convenient to determine the optimal solution data from a large amount of data by simulating the selection, crossover and mutation operations in the biological evolution process, so as to improve the accuracy of the data call process.

[0116] Further, in step S120, when determining the target plan BIM model corresponding to the target project data based on the target construction project identifier and the established preset process plan management model, it may specifically include:

[0117] According to the identification of the target construction project, the corresponding standard process BIM model is determined from the preset process planning management model, and the standard process BIM model contains the basic parameters of the model. Based on the basic parameters, the parameter information to be added is determined from the target project data. The parameter information to be added is normalized and calculated to obtain normalized calculation data, and the normalized calculation data is superimposed on the standard process BIM model to obtain the target plan BIM model corresponding to the target project data.

[0118] Specifically, since each standard process BIM model corresponds to a construction project identifier, the standard process BIM model with the construction project identifier as the target construction project identifier is determined as the BIM model of information to be superimposed. The BIM model of information to be superimposed contains built-in basic parameters corresponding to the target construction project identifier. For example, when the target construction project identifier is commercial building construction, the built-in basic parameters contained in the BIM model of information to be superimposed may be the material properties of buildings, floors, flow sections, and beams on each floor. Based on the built-in basic parameters, the parameter information to be added corresponding to the built-in basic parameters is determined from the target project data corresponding to the target construction project identifier, which may include specific materials used for beams, such as Q235 or Q345. By superimposing the data content to be filled, the richness of the BIM model can be improved.

[0119] Since different parameter information to be added may have different scales, for example, the data value range of one parameter information to be added is 0-10, and the data value range of another parameter information to be added is 0-100000, before superimposing the parameter information to be added to the BIM model of the superimposed information, it is necessary to normalize the parameter information to be added. Through normalization, the data values ​​corresponding to all parameter information to be added can be scaled to the same scale, so as to facilitate the improvement of the accuracy when determining the target plan BIM model. In addition, by performing normalization, it is possible to prevent the target plan BIM model from being overly dependent on the data to be filled in a specific scale during the automatic generation of the process-level construction plan. Once over-dependence occurs, the performance of the target plan BIM model may be greatly reduced. Through normalization, it is easy to ensure that the target plan BIM model has good performance when processing data, so as to facilitate the improvement of the generalization ability of the target plan BIM model.

[0120] In addition to normalizing the parameter information to be added, the relevant project personnel can also upload the quantity calculation files related to the construction project, as shown in Figure 4 (a). According to the relevant uploaded quantity calculation files, the normalized parameter information to be added is optimized. The parameter information to be added after the quantity calculation file optimization is convenient for clearly describing the progress, quality and performance of each construction process. When the normalized quantity calculation data is superimposed on the corresponding standard process BIM model, the correlation between the normalized quantity calculation data and each built-in basic parameter can be judged, and the normalized quantity calculation data can be superimposed based on the correlation.

[0121] In addition to determining the target plan BIM model corresponding to the target project data based on the target construction project identification and the established preset process plan management model, the target plan BIM model can also be uploaded to the plan editing system by relevant project personnel through file uploading, as shown in Figure 4 (b).

[0122] Furthermore, in step S130, when determining the target process-level plan based on the target project data, the target plan BIM model and the target sedimentation data model, the following steps may be specifically included:

[0123] Identify the variable identifiers corresponding to the variable sedimentation data and the constant identifiers corresponding to the constant sedimentation data in the target sedimentation data, and determine the target constant sedimentation data from the target project data based on the constant identifiers; determine the construction collection data based on the variable sedimentation data and the constant sedimentation data; determine the target process-level plan based on the construction collection data and the target plan BIM model.

[0124] Specifically, in order to distinguish the precipitation data, corresponding identifiers are set for the constant precipitation data and the variable precipitation data, wherein the constant precipitation data corresponds to a constant identifier and the variable precipitation data corresponds to a variable identifier. The constant identifier and the variable identifier can be replaced by numbers or characters. The specific display form is not specifically limited in the embodiments of the present application, as long as the constant precipitation data and the variable precipitation data can be distinguished.

[0125] After determining the constant identifier and the variable identifier, the constant identifier and the variable identifier can be used to identify the target project data to determine the constant precipitation data corresponding to the constant identifier and the variable precipitation data corresponding to the variable identifier. Specifically, the character search algorithm can be used to search for data containing constant identifiers and variable identifiers from the target project data. In order to improve the accuracy of the search results, after the search, it is also possible to verify whether the search results contain constant identifiers or variable identifiers. The variable precipitation data and the constant precipitation data are used together as construction collection data to drive the target plan BIM model to run, and finally multiple target process-level plans are obtained.

[0126] By identifying the variable sedimentation data and constant sedimentation data in the target sedimentation data, and based on the corresponding variable identifiers and constant identifiers respectively, the key data related to the target project can be accurately determined and extracted, so as to avoid confusion and misuse in the data extraction process, thereby facilitating the improvement of the accuracy and reliability of the construction collection data. Finally, the target process-level plan is automatically generated based on the construction collection data and the target plan BIM model, which helps to reduce the complexity and error rate of manual operations while facilitating the improvement of efficiency in the construction project management process.

[0127] In addition to being able to automatically generate multiple target process-level plans, the method provided in the embodiment of the present application can also optimize and modify the generated results. When an optimization and modification instruction is received, after determining the target process-level plan, the method provided in the embodiment of the present application further includes:

[0128] Identify the optimization modification information contained in the optimization modification instruction, the optimization modification information includes plan optimization modification information, labor organization optimization modification information and construction process selection optimization modification information;

[0129] Identify the plan parameter information contained in the plan optimization and modification information, and optimize and modify the target process-level plan based on the plan parameter information to obtain the planned process-level plan. The plan parameter information includes basic configuration, construction scope, project planning, and policy and environmental information;

[0130] Identify the labor organization parameter information contained in the labor organization optimization modification information, and optimize and modify the planned process level plan based on the labor organization parameter information to obtain the labor organization process level plan, wherein the labor organization parameter information includes fixed resource input and fixed construction period;

[0131] Identify the process selection parameter information contained in the construction process selection optimization and modification information, and optimize and modify the labor organization process-level plan based on the process selection parameter information to obtain an optimized process-level plan. The process selection parameter information includes material selection and construction technology.

[0132] Specifically, the optimization modification instruction can be uploaded to the plan editing system by the relevant project visitor. When the optimization modification instruction is received, it indicates that the relevant project visitor is less satisfied with the generated result, or is lower than the preset acceptance expectation. Therefore, the generated target process-level plan needs to be optimized and modified. The optimization modification content can include plan configuration modification, i.e. plan optimization modification information, and engineering quantity configuration, i.e. engineering quantity optimization modification information, and construction process configuration, i.e. construction process selection optimization modification information. Among them, the plan configuration includes basic configuration, construction scope, project planning, policy and environmental information, etc. The basic configuration includes building configuration and basement block configuration, etc., as shown in Figure 5 (a); the construction scope includes the construction period scope, construction scope, etc., as shown in Figure 5 (b); the project planning includes flow section configuration, construction and flow sequence, etc., among which the flow section configuration also includes the number of flow sections, flow section code, number of labor teams, etc., as shown in Figure 5 (c); the policy and environmental information includes acceptance requirements and the start and end time of winter construction, etc., as shown in Figure 5 (d).

[0133] Configuring the quantity of work includes four steps, including obtaining the quantity of work from the model, model association, quantity calculation and application of the quantity of work to the plan, as shown in Figure 6 (a), where obtaining the quantity of work from the model means obtaining the quantity of work corresponding to each construction process from the target plan BIM model, and then updating the basic quantity of work corresponding to each construction process based on the obtained quantity of work to complete the quantity of work setting; after the quantity of work setting is completed, it is necessary to associate the model, that is, to reference the content set in the plan configuration stage to achieve model association, as shown in Figure 6 (b); after the model association is completed, it is necessary to calculate the quantity of work, as shown in Figure 6 (c); finally, after the quantity of work is set, the step of applying the quantity of work to the plan is performed, that is, a new process-level plan is generated according to the set quantity of work.

[0134] The labor organization parameters include fixed resource inputs, including personnel input, etc., for details, please refer to Figure 7 (a); the fixed construction period is the fixed construction period of each process, for details, please refer to Figure 7 (b); the process selection parameters include material selection and construction process, for details, please refer to Figure 8 .

[0135] When optimizing the target process-level plan based on the optimization modification information, it is only necessary to upload the optimization modification information to the plan editing system, and use it as a constraint to regenerate the process-level plan. It is also possible to first use the plan parameter information in the plan optimization modification information as a constraint to perform the first optimization modification to obtain the plan process-level plan, and then use the labor organization parameter information in the labor organization optimization modification information as a constraint to perform the second optimization modification to obtain the labor organization process-level plan, and finally use the process selection parameter information in the construction process selection optimization modification information as a constraint to perform the third optimization modification to obtain the optimized process-level plan. Among them, the order of using the plan parameter information in the plan optimization modification information as a constraint, using the labor organization parameter information in the labor organization optimization modification information as a constraint, and using the process selection parameter information in the construction process selection optimization modification information as a constraint for optimization and modification is not specifically limited in the embodiments of the present application.

[0136] Furthermore, when a display demand instruction is detected, the method provided in the embodiment of the present application further includes:

[0137] Identify demand information in display demand instructions, where demand information includes display scope, display type and display time period, and display types include display types of work, display labor, display construction materials, display flow sections and display construction material procurement plans; determine display resource curves based on the demand information and the target process-level plan corresponding to the display demand instructions; when the display demand instructions include scheduled work groups and scheduled structural stages, identify the construction areas and construction objects corresponding to each construction moment in the target process-level plan, and determine the display plan diagram corresponding to the target process-level plan based on the construction areas and construction objects corresponding to each moment; generate visual feedback results based on the display resource curves and display plan diagrams.

[0138] Specifically, the display demand instruction can be uploaded to the plan editing system by the relevant project visitor. The display demand instruction contains multiple demand information, among which the display range can be the building to be displayed, the floor to be displayed, the flow section to be displayed, etc. The display type can be the type of work to be displayed, the labor force corresponding to each type of work, and the construction material procurement plan used in the construction process, etc. For example, the display demand instruction can be used to determine the construction material procurement plan corresponding to the display of the XX flow section in the XX display time period. The display time period can be one month, that is, the monthly plan is displayed, or one week, that is, the weekly plan is displayed, as shown in Figure 9 (a) and Figure 9 (b). Taking the monthly plan as an example, the monthly plan also includes node name, node level, internal control start date, internal control end date, construction period, important nodes, critical path, etc. The Gantt chart can also be used to display the construction progress of each construction process, as shown in Figure 9 (c). The construction progress of each construction process can be intuitively viewed through the Gantt chart. The construction material procurement plan includes the project name, project number, construction location, material name, specification model, unit, total budget, entry date, procurement method, etc. For example, the construction location can be Structure-Building 1-Section 1-A, the material name can be concrete, the specification model can be C30, the unit can be cubic meter, the total budget can be 104.822, and the entry date can be May 29, 2024.

[0139] After uploading the display demand instruction to the plan editing system, the plan editing system will visualize the selected target process-level plan according to the display demand instruction to obtain the display resource curve. Each target plan BIM model contains multiple flow segments, and different flow segments correspond to different flow segment codes. By establishing a flow segment correspondence between each flow segment code and the flow segment, and then establishing a flow segment model correspondence between different flow segment codes and the corresponding target plan BIM model, it is convenient to call and display any flow segment in any target plan BIM model based on the flow segment correspondence and flow segment model correspondence.

[0140] The resource curve includes the labor curve, which includes the number of workers in different types of work at different times, as shown in Figure 10 (a). Each type of work is represented by a line segment. Through the labor curve, we can intuitively view the type of work involved at each moment, the number of workers in each type of work, and the peak value of the labor force corresponding to each type of work.

[0141] When the display requirement instruction includes the scheduled team and the scheduled structure stage, after setting the scheduled team and the scheduled structure stage according to the display requirement, the specific implementation process of using the scheduled team to carry out the target process level planning operation can be intuitively viewed. As shown in Figure 10 (b), the scheduled structure stage set according to the display requirement is the ground structure stage. During the construction process using Team 1, the construction process of Team 1 is to first construct the first floor of Building 1, and then construct the same floor of Building 2, until the construction of Buildings 1 and 2 is completed, and then construct Building 3 from the first floor to obtain a display plan diagram.

[0142] The resource display curve and the display plan diagram are fed back together, so that the relevant project visitors can intuitively view the input resources and specific implementation plans required for the target process-level plan. Based on the resource display curve, it is convenient for the relevant project visitors to understand the demand and input of various resources in different time periods, so as to facilitate more effective resource allocation. The display plan diagram allows the relevant project visitors to clearly view and understand the specific implementation plan and schedule of the target process-level plan.

[0143] The present application embodiment provides a plan editing system, such as Fig.11 Show, Fig.11 The plan editing system 1100 shown includes: a processor 1101 and a memory 1103. The processor 1101 and the memory 1103 are connected, such as through a bus 1102. Optionally, the plan editing system 1100 may also include a transceiver 1104. It should be noted that in actual applications, the transceiver 1104 is not limited to one, and the structure of the plan editing system 1100 does not constitute a limitation on the embodiments of the present application.

[0144] Processor 1101 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It may implement or execute various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. Processor 1101 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, and the like.

[0145] The bus 1102 may include a path to transmit information between the above components. The bus 1102 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 1102 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Fig.11 The fact that only one line is used in the diagram does not mean that there is only one bus or only one type of bus.

[0146] The memory 1103 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0147] The memory 1103 is used to store the application code for executing the solution of the present application, and the execution is controlled by the processor 1101. The processor 1101 is used to execute the application code stored in the memory 1103 to implement the contents shown in the above method embodiment.

[0148] The plan editing system includes, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. It can also be a server, etc. Fig.11 The plan editing system shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0149] An embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer-readable storage medium is run on a computer, the computer can execute the corresponding content in the aforementioned method embodiment.

[0150] An embodiment of the present application provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the method in any of the above embodiments is implemented.

[0151] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0152] The above is only a partial implementation method of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. An intelligent schedule editing method, characterized in that: include: Acquire target project data, where the target project data is project data for which a construction schedule needs to be generated; Determine a target construction project identifier from the target project data, and determine a target plan BIM model and a target precipitation data model corresponding to the target project data based on the target construction project identifier and a preset process plan management model that has been established, wherein the construction project identifier corresponding to the target precipitation data model is consistent with the target construction project identifier; Determine a target process-level plan based on the target project data, the target plan BIM model, and the target sedimentation data model, and provide feedback on the target process-level plan; The process of building the preset process planning management model includes: Acquire historical construction data and historical construction record logs within a historical preset time period, wherein the historical construction data includes construction project identification, process resource input, process efficiency quota, and process average construction period; Processing the historical construction data according to the historical construction record log to obtain a sedimentation data model, each sedimentation data model corresponding to a construction project identifier; Obtain multiple standard process BIM models, and identify the construction project identifier corresponding to each standard process BIM model; Based on the construction project identification, a model linkage relationship is established between each standard process BIM model and the sedimentation data model, and the preset process plan management model is obtained based on the model linkage relationship; The performing data processing on the historical construction data according to the historical construction record log to obtain a precipitation data model includes: Determine interference data features based on the historical construction record log, and perform noise reduction processing on the historical construction data based on the interference data features to obtain construction sedimentation data; Acquire preset plan sample information, and determine variable precipitation data and constant precipitation data based on the preset plan sample information and the construction precipitation data, wherein the preset plan sample information includes multiple processes and the correlation relationship between each process; Identify the process identifiers contained in the preset plan sample information, and determine the sedimentation data sub-model corresponding to each process identifier based on each process identifier, the variable sedimentation data, and the constant sedimentation data, wherein each process identifier corresponds to a construction project identifier; The sedimentation data model is determined according to all process identifiers and the sedimentation data sub-model corresponding to each process identifier.

2. The intelligent schedule editing method according to claim 1, characterized in that: Determining the target plan BIM model corresponding to the target project data based on the target construction project identifier and the established preset process plan management model includes: According to the target construction project identifier, determine the corresponding standard process BIM model from the preset process planning management model, wherein the standard process BIM model includes basic parameters of the model; Based on the built-in basic parameters, determine the parameter information to be added from the target project data; The parameter information to be added is subjected to normalized quantity calculation processing to obtain normalized quantity calculation data, and the normalized quantity calculation data is superimposed on the standard process BIM model to obtain the target plan BIM model corresponding to the target project data.

3. The intelligent schedule editing method according to claim 1, characterized in that: The determining a target process-level plan based on the target project data, the target plan BIM model and the target sedimentation data model includes: Identify the variable identifier corresponding to the variable precipitation data and the constant identifier corresponding to the constant precipitation data in the target precipitation data, identify from the target project data based on the constant identifier and the variable identifier, so as to determine the constant precipitation data corresponding to the constant identifier and the variable precipitation data corresponding to the variable identifier from the target project data, and determine the construction collection data based on the constant precipitation data corresponding to the constant identifier in the target project data and the variable precipitation data corresponding to the variable identifier in the target project data; A target process-level plan is determined based on the construction collection data and the target plan BIM model.

4. The intelligent schedule editing method according to claim 1, characterized in that: When receiving the optimization modification instruction, after determining the target process level plan, the method further includes: Identifying the optimization modification information contained in the optimization modification instruction, wherein the optimization modification information includes plan optimization modification information, labor organization optimization modification information, and construction process selection optimization modification information; Identify the plan parameter information contained in the plan optimization and modification information, and optimize and modify the target process-level plan based on the plan parameter information to obtain a planned process-level plan, wherein the plan parameter information includes basic configuration, construction scope, project planning, and policy and environmental information; Identify the labor organization parameter information contained in the labor organization optimization modification information, and optimize and modify the planned process level plan based on the labor organization parameter information to obtain a labor organization process level plan, wherein the labor organization parameter information includes fixed resource input and fixed construction period; Identify the process selection parameter information contained in the construction process selection optimization and modification information, and optimize and modify the labor organization process-level plan based on the process selection parameter information to obtain an optimized process-level plan, wherein the process selection parameter information includes material selection and construction process.

5. The intelligent schedule editing method according to claim 4, characterized in that: When a display request instruction is detected, it also includes: Identify demand information in the display demand instruction, the demand information includes display scope, display type and display time period, the display type includes display type of work, display labor, display construction materials, display flow section and display construction material procurement plan; Determining a display resource curve based on the demand information and the target process level plan corresponding to the display demand instruction; When the display demand instruction includes a predetermined team and a predetermined structural stage, identifying the construction area and construction object corresponding to each construction moment in the target process level plan, and determining the display plan diagram corresponding to the target process level plan based on the construction area and construction object corresponding to each moment; A visual feedback result is generated according to the display resource curve and the display plan diagram.

6. A plan editing system, characterized in that: The program editing system includes: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute an intelligent schedule editing method as described in any one of claims 1-5.

7. A computer-readable storage medium, characterized in that: include: A computer program is stored which can be loaded by a processor and execute an intelligent schedule editing method as described in any one of claims 1-5.

8. A computer program product, characterized in that It includes a computer program, which, when executed by a processor, implements the steps of an intelligent schedule editing method described in any one of claims 1-5.

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