Intelligent project management method and system based on home decoration construction

Abstract

The invention relates to the technical field of project management, in particular to an intelligent project management method and system based on home decoration construction, and the method comprises the steps: collecting the initial demand data of a home decoration construction project; splitting the home decoration construction project into a plurality of different construction subtasks; on the basis of a preset intelligent algorithm, historical project data and a preset industry standard are called, needed artificial resource data are matched for all the subtasks on the basis of a preset matching rule, and a construction progress plan is generated in combination with the dependency relationship between the subtasks; executing a home decoration construction project based on the construction progress plan, and collecting real-time progress data of the home decoration construction project; comparing the real-time progress data with the construction progress plan, and outputting a construction deviation report; judging whether the project meets an early warning condition or not; and when an early warning condition is met, positioning an early warning position and sending an early warning notice to the project management end. The method has the effect of remarkably reducing the construction shutdown rate, the rework rate and the construction period deviation.

Description

Technical Field

[0001] This application relates to the technical field of project management, and in particular to an intelligent project management method and system based on home decoration construction. Background Technology

[0002] Currently, home renovation construction project management generally adopts a manual experience-driven model, and its typical process is as follows:

[0003] Task breakdown: Based on construction drawings and experience, the project manager manually breaks down the project into rough task packages, such as "plumbing and electrical phase" and "masonry phase".

[0004] Resource allocation: Job types are allocated based on a static worker schedule, ignoring real-time location, skill level, and task load;

[0005] Progress control: Relies on on-site supervisors to manually record progress, and compares deviations from the plan using Excel or a simple Gantt chart.

[0006] Regarding the aforementioned technologies, the inventors believe that the following defects exist:

[0007] Task granularity out of control: The breakdown results are greatly affected by subjectivity. For example, "bathroom renovation" is not subdivided into "waterproofing-tiling-grouting", resulting in inaccurate resource allocation.

[0008] Resource rigidity and waste: Mismatch between worker skills and task requirements, such as skilled bricklayers being assigned to simple grouting, and parallel task groups being forced to go in sequence due to a shortage of multi-skilled workers;

[0009] Deviation response lag: Due to the lack of modeling of dependencies between tasks, such as the fact that wall painting requires ΔT = 48 hours to dry, local delays can cause a chain of work stoppages.

[0010] Therefore, improvements are needed. Summary of the Invention

[0011] To address the above technical issues, this application provides a method and system for intelligent project management based on home decoration construction.

[0012] The above-mentioned objective of this application is achieved through the following technical solution:

[0013] A method for intelligent project management based on home decoration construction includes:

[0014] Collect initial demand data for home decoration construction projects, including worker skill information;

[0015] Based on the preset intelligent algorithm and the initial demand data, the home decoration construction project is divided into several different construction sub-tasks;

[0016] Based on a preset intelligent algorithm, historical project data and preset industry standards are retrieved. Based on preset matching rules, the required human resource data is matched for each sub-task. Combined with the dependencies between sub-tasks, a construction schedule plan is generated.

[0017] Based on the aforementioned construction schedule, execute the home decoration construction project and collect real-time progress data of the home decoration construction project.

[0018] Compare the real-time progress data with the construction schedule and output a construction deviation report;

[0019] Based on the preset risk threshold and the construction deviation report, determine whether the project has reached the warning conditions;

[0020] When the warning conditions are met, locate the warning location and send a warning notification to the project management terminal.

[0021] In a preferred embodiment, the step of retrieving historical project data and preset industry standards based on a preset intelligent algorithm, matching the required human resource data for each sub-task based on preset matching rules, and generating a construction schedule plan by combining the dependencies between sub-tasks includes:

[0022] The preset matching rules include:

[0023] Based on the records of human resource consumption of completed sub-tasks of the same type as the current sub-task in historical project data, and the human resource quota requirements of the corresponding type of sub-task in the preset industry standard, the baseline requirements for the skill type and number of personnel required for the current sub-task are determined.

[0024] Based on the aforementioned baseline requirements and combined with the real-time status information of the pre-stored available human resource pool, a human resource allocation scheme that meets the skill type requirements and personnel quantity requirements is matched for the current subtask.

[0025] In a preferred embodiment, the step of retrieving historical project data and preset industry standards based on a preset intelligent algorithm, matching the required human resource data for each sub-task based on preset matching rules, and generating a construction schedule plan by combining the dependencies between sub-tasks, further includes:

[0026] If the real-time status information of the available artificial resource pool cannot meet the baseline requirements, a dynamic adjustment mechanism will be activated based on preset rules to output a dynamically adjusted resource allocation scheme.

[0027] The dynamic adjustment mechanism includes:

[0028] Based on skill similarity, match available workers with similar skills;

[0029] Adjust the execution order or priority of adjacent subtasks that have dependencies, and release or transfer manual resources;

[0030] Based on the dynamically adjusted resource allocation scheme and the dependencies between the subtasks, a construction schedule is generated.

[0031] The construction schedule includes the planned start time, planned completion time, and planned resource consumption for each sub-task.

[0032] In a preferred embodiment, the step of generating a construction schedule based on a dynamically adjusted resource allocation scheme and in conjunction with the dependencies between the subtasks includes:

[0033] The dependencies between the subtasks are defined and stored in a structured manner through a preset dependency model, which includes serial dependencies, parallel dependencies, and immediate dependencies.

[0034] Dependency types are automatically matched based on the mapping relationship between subtask attributes and the preset process rule base;

[0035] When there is a sequential dependency, subtask B can only start after subtask A is completed, and there is a preset minimum time interval ΔT between the two.

[0036] When there is a parallel dependency, subtask A and subtask B can be executed simultaneously without any order constraint.

[0037] When there is a preceding dependency, the start of subtask B depends on a specific milestone node of subtask A and meets a preset progress threshold condition.

[0038] In a preferred embodiment, the step of generating a construction schedule based on a dynamically adjusted resource allocation scheme and the dependencies between the subtasks further includes:

[0039] Based on preset rules, a dependency-driven resource allocation strategy is executed:

[0040] For sub-task chains with sequential dependencies, human resources are allocated sequentially according to the dependency order, and the time window for resource release and reallocation is calculated based on ΔT.

[0041] For subtask groups with parallel dependencies, prioritize allocating multi-skilled workers from the available resource pool who meet the requirements for multitasking skills.

[0042] For subtasks with immediate dependencies, the pre-allocation of resources for subsequent tasks is triggered in real time based on the milestone progress of the preceding tasks.

[0043] In a preferred embodiment, the step of initiating a dynamic adjustment mechanism based on preset rules and outputting a dynamically adjusted resource allocation scheme if the real-time status information of the available artificial resource pool cannot meet the baseline requirements includes:

[0044] When the dynamic adjustment mechanism is activated, changes to dependencies take precedence over resource adjustments, specifically including:

[0045] If resource shortages occur on non-critical path tasks in a serial dependency chain, extend ΔT and delay subsequent tasks.

[0046] If resource shortage occurs in a parallel task group, the parallel group is dynamically split into a serial chain and ΔT is recalculated.

[0047] If the preset progress threshold condition of the immediate dependency is not met, the allocation of resources for subsequent tasks will be automatically postponed and alternative parallel tasks will be triggered.

[0048] In a preferred embodiment, the step of comparing the real-time progress data with the construction schedule and outputting a construction deviation report includes:

[0049] Extract the actual completion time and actual resource consumption from the real-time progress data;

[0050] The actual completion time is compared with the planned completion time, and the progress deviation value is calculated based on the preset formula: progress deviation value = (actual completion time - planned completion time).

[0051] The actual resource consumption is compared with the planned resource consumption, and the resource deviation rate is calculated based on the preset formula: Resource Deviation Rate = (Actual Resource Consumption - Planned Resource Consumption) / Planned Resource Consumption * 100%.

[0052] Based on the schedule deviation value and the resource deviation rate, and combined with the analysis of the propagation impact of the deviation in conjunction with the dependencies between the sub-tasks, a construction deviation report is generated.

[0053] The above-mentioned objective 2 of this application is achieved through the following technical solution:

[0054] An intelligent project management system based on home decoration construction includes:

[0055] Module 1: Collect initial demand data for home decoration construction projects, including worker skill information;

[0056] The second module: Based on the preset intelligent algorithm and the initial demand data, the home decoration construction project is divided into several different construction sub-tasks;

[0057] The third module: Based on a preset intelligent algorithm, it retrieves historical project data and preset industry standards, matches the required human resource data for each sub-task based on preset matching rules, and generates a construction schedule plan by combining the dependencies between sub-tasks.

[0058] Module 4: Based on the construction schedule, execute the home decoration construction project and collect real-time progress data of the home decoration construction project;

[0059] Module 5: Compare the real-time progress data with the construction schedule and output a construction deviation report;

[0060] Module 6: Based on the preset risk threshold and the construction deviation report, determine whether the project has reached the warning conditions;

[0061] Module 7: When the warning conditions are met, locate the warning location and send a warning notification to the project management terminal.

[0062] The above-mentioned objective three of this application is achieved through the following technical solution:

[0063] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above-described intelligent project management method based on home decoration construction.

[0064] The fourth objective of this application is achieved through the following technical solution:

[0065] A computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the above-described intelligent project management method based on home decoration construction.

[0066] In summary, this application includes at least one of the following beneficial technical effects:

[0067] 1. Achieve dynamic optimal matching of resources and improve construction efficiency: Generate benchmark requirements by integrating historical data and industry standards, and output the optimal allocation scheme by combining real-time resource pool status; when resources are scarce, dynamically initiate skill substitution and dependency reconstruction to reduce downtime caused by labor shortages. Attached Figure Description

[0068] Figure 1 This is a flowchart illustrating an embodiment of an intelligent project management method based on home decoration construction, as described in this application.

[0069] Figure 2 This is a flowchart illustrating step S30 in an embodiment of an intelligent project management method based on home decoration construction according to this application.

[0070] Figure 3 This is another implementation flowchart of step S30 in an embodiment of the intelligent project management method based on home decoration construction in this application;

[0071] Figure 4 This is a schematic block diagram of a computer device according to this application. Detailed Implementation

[0072] The following is in conjunction with the appendix Figure 1-4 This application will be described in further detail.

[0073] In the example, such as Figure 1 As shown, this application discloses an intelligent project management method based on home decoration construction, which specifically includes the following steps:

[0074] S10: Collect initial demand data for home decoration construction projects, including worker skill information;

[0075] S20: Based on the preset intelligent algorithm and the initial demand data, the home decoration construction project is divided into several different construction sub-tasks;

[0076] S30: Based on a preset intelligent algorithm, it retrieves historical project data and preset industry standards, matches the required human resource data for each sub-task based on preset matching rules, and generates a construction schedule plan by combining the dependencies between sub-tasks.

[0077] S40: Based on the construction schedule, execute the home decoration construction project and collect real-time progress data of the home decoration construction project;

[0078] S50: Compare the real-time progress data with the construction schedule plan, and output a construction deviation report;

[0079] S60: Based on the preset risk threshold and the construction deviation report, determine whether the project has reached the warning conditions;

[0080] S70: When the warning conditions are met, locate the warning location and send a warning notification to the project management terminal.

[0081] In this embodiment, the preset intelligent algorithm includes a natural language processing module, a task decomposition module, and a resource optimization module. The natural language processing module is used to parse the text description in the initial requirement data, the task decomposition module breaks down the home decoration construction project into construction sub-tasks based on the text description, and the resource optimization module is used to retrieve historical project data and preset industry standards.

[0082] Specifically, for example, the text describing the homeowner's request for "a suspended ceiling and painting in the living room, and waterproofing and tiling in the bathroom" is automatically broken down into atomic tasks such as "living room suspended ceiling", "living room wall treatment", "bathroom waterproofing", and "bathroom tiling".

[0083] like Figure 2 As shown, step S30 includes:

[0084] The preset matching rules include:

[0085] S301: Based on the records of human resource consumption of completed sub-tasks of the same type as the current sub-task in historical project data and the human quota requirements of the corresponding type of sub-task in the preset industry standard, determine the baseline requirements for the skill type and number of personnel required for the current sub-task.

[0086] S302: Based on the aforementioned baseline requirements and combined with the real-time status information of the pre-stored available human resource pool, match a human resource allocation scheme that meets the skill type requirements and personnel quantity requirements for the current subtask.

[0087] In this embodiment, the real-time status information of the pre-stored available human resource pool includes the worker's current location, skill level, and current task load rate; the matching process calculates the optimal worker-task allocation scheme using the Hungarian algorithm;

[0088] Specifically, for the subtask of "tiling 15 square meters of bathroom," based on historical data (average 1.5 days required by one intermediate tiler) and industry standards (intermediate tiler's daily tiling volume is 8-12 square meters), the baseline requirement is determined to be one intermediate tiler. Then, from the resource pool (e.g., currently there are 3 intermediate tilers, one with 80% task load and the other 2 with 40% load and located within 5 kilometers), an algorithm (such as the Hungarian algorithm) is used to assign the tiler with the lowest load and closest location to the current task.

[0089] like Figure 3 As shown, step S30 also includes:

[0090] S303: If the real-time status information of the available artificial resource pool cannot meet the baseline requirements, a dynamic adjustment mechanism will be initiated based on preset rules, and a dynamically adjusted resource allocation scheme will be output.

[0091] The dynamic adjustment mechanism includes:

[0092] S304: Match available workers with similar skills based on skill similarity;

[0093] S305: Adjust the execution order or priority of adjacent subtasks that have dependencies, and release or transfer manual resources;

[0094] S306: Based on the dynamically adjusted resource allocation scheme and combined with the dependencies between the subtasks, generate a construction schedule plan;

[0095] S307: The construction schedule includes the planned start time, planned completion time, and planned resource consumption for each sub-task.

[0096] In this embodiment, dependencies are used to determine the execution order of subtasks. Dependencies include prerequisite relationships, subsequent relationships, and parallel relationships. A prerequisite relationship means that subtask B can only start after subtask A is completed. A subsequent relationship means that subtask B depends on the output of subtask A. A parallel relationship means that subtask A and subtask B can be executed synchronously without logical constraints.

[0097] Specifically, for example, if there are not enough intermediate-level tile setters available: Skill substitution: Match a senior apprentice with the "Tile Laying" skill (skill similarity 85%) to substitute, Dependency adjustment: If "Bathroom Tile Laying" was originally planned to start immediately after "Plumbing and Electrical Renovation", but there are not enough tile setters, then postpone "Tile Laying" and execute "Bedroom Painting", which has no dependency on it, first (parallel relationship becomes serial), freeing up plumbers to support other areas.

[0098] Step S306 includes:

[0099] SB1: The dependencies between the subtasks are defined and stored in a structured manner through a preset dependency model, which includes serial dependencies, parallel dependencies, and immediate dependencies.

[0100] SB2: Automatically matches dependency types based on the mapping relationship between subtask attributes and the preset process rule base;

[0101] SB3: When there is a serial dependency, subtask B can only start after subtask A is completed, and there is a preset minimum time interval ΔT between the two.

[0102] SB4: When there is a parallel dependency, subtask A and subtask B can be executed simultaneously without any order constraint.

[0103] SB5: When there is a preceding dependency, the start of subtask B depends on a specific milestone node of subtask A and meets the preset progress threshold condition.

[0104] In this embodiment, the dependency model is stored in a directed graph structure, where nodes represent subtasks and edges represent dependency types and constraint parameters; the preset progress threshold condition is that when the completion rate of the preceding subtask is ≥80%, the pre-allocation of resources for subsequent tasks is triggered.

[0105] Specifically, for example: serial dependency: "wall plastering" must begin after "water and electricity trenching and sealing" is completed, and the two must be dried at least 1 day (ΔT); parallel dependency: "living room ceiling" and "bedroom painting" can be carried out simultaneously; preceding dependency: the start of "cabinet installation" depends on the completion of "kitchen wall tile laying" reaching 80% (milestone), at which point cabinet installers can be pre-assigned.

[0106] Step S306 also includes:

[0107] SE1: Based on preset rules, execute a dependency-driven resource allocation strategy.

[0108] SE2: For sub-task chains with serial dependencies, allocate human resources sequentially according to the dependency order, and calculate the resource release and reallocation time window based on ΔT;

[0109] SE3: For subtask groups with parallel dependencies, prioritize allocating multi-skilled workers from the available resource pool who meet the requirements of multitasking skills.

[0110] SE4: For subtasks with immediate dependencies, pre-allocation of resources for subsequent tasks is triggered in real time based on the milestone progress of the preceding task.

[0111] In this embodiment, the calculation formula for the resource release and redistribution time window is: release time = task completion time + ΔT, redistribution time = subsequent task start time - ΔT; composite workers need to hold multiple skill certifications such as electrician's certificate and carpenter's certificate at the same time;

[0112] Specifically, for example: Serial chain: "Water and electricity renovation -> Tile laying -> Grout sealing", workers are assigned sequentially. The tile laying workers are released when they finish (end of day 5), and the grout sealing workers start work on day 6 (tile laying completed + ΔT = 1 day); Parallel group: "Living room ceiling" and "Bedroom ceiling" both require carpentry, and workers with composite skills holding "ceiling" skills (such as those with both carpentry and electrical work certificates) are given priority; Pre-triggered: When the "Kitchen wall tile laying" progress reaches 80%, the system automatically triggers a pre-assignment notification for "Cabinet installers".

[0113] Step S303 includes:

[0114] SJ1: When the dynamic adjustment mechanism is activated, changes to dependencies take precedence over resource adjustments, specifically including:

[0115] SJ2: If resource shortage occurs on a non-critical path task in a serial dependency chain, extend ΔT and delay subsequent tasks.

[0116] SJ3: If resource shortage occurs in a parallel task group, dynamically split the parallel group into a serial chain and recalculate ΔT;

[0117] SJ4: If the preset progress threshold condition of the immediate dependency is not met, the allocation of resources for subsequent tasks will be automatically postponed and an alternative parallel task will be triggered.

[0118] In this embodiment, non-critical path tasks refer to tasks with a total float time greater than 3 days; alternative parallel tasks are other parallelizable subtasks that have no dependency on the original task.

[0119] Specifically, for example: Serial non-critical: If the "Balcony storage cabinet installation" (floating time > 3 days) lacks carpentry work, its ΔT is extended (e.g., from 1 day to 2 days), and its subsequent "Balcony cleaning" is postponed; Parallel group insufficient: If the "Living room ceiling" and "Bedroom ceiling" are both being carried out simultaneously and lack carpentry work, the "Bedroom ceiling" is split off and delayed (parallel becomes serial), and its ΔT relative to the original plan is recalculated; Prior unmet: If the "Kitchen wall tile laying" progress is only 70% (not reaching the 80% threshold), the "Cabinet installation" is automatically postponed, and the parallel "Bathroom ceiling" task is triggered.

[0120] S50 steps include:

[0121] S501: Extract the actual completion time and actual resource consumption from the real-time progress data;

[0122] S502: Compare the actual completion time with the planned completion time, and calculate the progress deviation value based on the preset formula: progress deviation value = (actual completion time - planned completion time);

[0123] S503: Compare the actual resource consumption with the planned resource consumption, and calculate the resource deviation rate based on the preset formula: Resource Deviation Rate = (Actual Resource Consumption - Planned Resource Consumption) / Planned Resource Consumption * 100%.

[0124] S504: Based on the schedule deviation value and the resource deviation rate, and combined with the dependency relationship between the sub-tasks, analyze the propagation impact of the deviation and generate a construction deviation report.

[0125] In this embodiment, the construction deviation report includes schedule deviation analysis, resource consumption deviation analysis, and deviation cause analysis. The deviation cause analysis uses a decision tree model to correlate changes in dependency relationships with abnormal resource consumption.

[0126] Specifically, for example: the subtask "bathroom tiling" was planned to be completed in 3 days, consuming 2 man-days; it was actually completed in 4 days, consuming 2.5 man-days; the progress deviation value = 4 days - 3 days = +1 day (delay); the resource deviation rate = (2.5-2) / 2*100% = +25% (overspending); the deviation report analysis: the delay caused its immediate successor task "grouting" to be postponed by 1 day; the reason for overspending was the mismatch of the tile setter's skills (requiring rework); the decision tree model correlation shows that the dependency relationship (serial) amplified the progress deviation; resource anomalies are strongly correlated with insufficient skills (low historical data matching degree).

[0127] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0128] In one embodiment, a project intelligent management system based on home decoration construction is provided, which corresponds one-to-one with the project intelligent management method based on home decoration construction described in the above embodiment. The project intelligent management system based on home decoration construction includes:

[0129] Module 1: Collect initial demand data for home decoration construction projects, including worker skill information;

[0130] The second module: Based on the preset intelligent algorithm and the initial demand data, the home decoration construction project is divided into several different construction sub-tasks;

[0131] The third module: Based on a preset intelligent algorithm, it retrieves historical project data and preset industry standards, matches the required human resource data for each sub-task based on preset matching rules, and generates a construction schedule plan by combining the dependencies between sub-tasks.

[0132] Module 4: Based on the construction schedule, execute the home decoration construction project and collect real-time progress data of the home decoration construction project;

[0133] Module 5: Compare the real-time progress data with the construction schedule and output a construction deviation report;

[0134] Module 6: Based on the preset risk threshold and the construction deviation report, determine whether the project has reached the warning conditions;

[0135] Module 7: When the warning conditions are met, locate the warning location and send a warning notification to the project management terminal.

[0136] Optional, also includes:

[0137] The preset matching rules include:

[0138] Module 8: Based on the records of human resource consumption of completed sub-tasks of the same type as the current sub-task in historical project data and the human resource quota requirements of the corresponding type of sub-task in the preset industry standards, determine the baseline requirements for the skill type and number of personnel required for the current sub-task.

[0139] Module 9: Based on the aforementioned baseline requirements and combined with the real-time status information of the pre-stored available human resource pool, match a human resource allocation scheme that meets the skill type requirements and personnel quantity requirements for the current subtask.

[0140] Optional, also includes:

[0141] Module 10: If the real-time status information of the available artificial resource pool cannot meet the baseline requirements, a dynamic adjustment mechanism will be initiated based on preset rules to output a dynamically adjusted resource allocation scheme.

[0142] The dynamic adjustment mechanism includes:

[0143] Module 11: Matching available workers with similar skills based on skill similarity;

[0144] Module 12: Adjust the execution order or priority of adjacent subtasks with dependencies, and release or transfer manual resources;

[0145] Module 13: Based on the dynamically adjusted resource allocation scheme and combined with the dependencies between the subtasks, a construction schedule plan is generated;

[0146] Module 14: The construction schedule includes the planned start time, planned completion time, and planned resource consumption for each sub-task.

[0147] Optional, also includes:

[0148] Module 15: The dependencies between the subtasks are defined and stored in a structured manner through a preset dependency model, which includes serial dependencies, parallel dependencies, and immediate dependencies.

[0149] Sixteen modules: Automatically match dependency types based on the mapping relationship between subtask attributes and the preset process rule base;

[0150] Module 17: When there is a sequential dependency, subtask B can only start after subtask A is completed, and there is a preset minimum time interval ΔT between the two.

[0151] Module 18: When there is a parallel dependency, subtask A and subtask B can be executed simultaneously without any order constraint.

[0152] Module 19: When there is a preceding dependency, the start of subtask B depends on a specific milestone node of subtask A and meets the preset progress threshold conditions.

[0153] Optional, also includes:

[0154] Module 20: Based on preset rules, execute dependency-driven resource allocation strategies.

[0155] Module 21: For sub-task chains with sequential dependencies, allocate human resources in the order of dependency, and calculate the resource release and reallocation time window based on ΔT;

[0156] Module 22: For subtask groups with parallel dependencies, prioritize the allocation of composite workers from the available resource pool who meet the multitasking skill requirements.

[0157] Modules 2 and 3: For subtasks with immediate dependencies, the pre-allocation of resources for subsequent tasks is triggered in real time based on the milestone progress of the preceding tasks.

[0158] Optional, also includes:

[0159] Module 2.4: When the dynamic adjustment mechanism is activated, changes to dependencies take precedence over resource adjustments, specifically including:

[0160] Module 25: If resource shortage occurs on a non-critical path task in a serial dependency chain, extend ΔT and delay subsequent tasks;

[0161] Module 26: If resource shortage occurs in a parallel task group, dynamically split the parallel group into a serial chain and recalculate ΔT;

[0162] Module 27: If the preset progress threshold condition of the immediate dependency is not met, the allocation of resources for subsequent tasks will be automatically postponed and alternative parallel tasks will be triggered.

[0163] Optional, also includes:

[0164] Module 28: Extracts the actual completion time and actual resource consumption from the real-time progress data;

[0165] Module 29: Compares the actual completion time with the planned completion time, and calculates the progress deviation value based on the preset formula: Progress Deviation Value = (Actual Completion Time - Planned Completion Time);

[0166] Module 30: Compare the actual resource consumption with the planned resource consumption, and calculate the resource deviation rate based on the preset formula: Resource Deviation Rate = (Actual Resource Consumption - Planned Resource Consumption) / Planned Resource Consumption * 100%.

[0167] The Sany module generates a construction deviation report based on the schedule deviation value and the resource deviation rate, combined with the dependency relationship between the sub-tasks, to analyze the propagation impact of the deviation.

[0168] For specific limitations regarding an intelligent management system for home decoration construction projects, please refer to the limitations of an intelligent management method for home decoration construction projects described above, which will not be repeated here. Each module in the aforementioned intelligent management system for home decoration construction projects can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the corresponding operations of each module.

[0169] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 4 As shown, the computer device includes a processor, memory, network interface, and database connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and database. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The network interface is used for communication with external terminals via a network connection. When the computer program is executed by the processor, it implements an intelligent project management method based on home decoration construction.

[0170] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to perform the following steps:

[0171] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, the computer program performing the following steps when executed by a processor:

[0172] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0173] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is used as an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0174] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for intelligent project management based on home decoration construction, characterized in that, include: Collect initial demand data for home decoration construction projects, including worker skill information; Based on the preset intelligent algorithm and the initial demand data, the home decoration construction project is divided into several different construction sub-tasks; Based on a preset intelligent algorithm, historical project data and preset industry standards are retrieved. Based on preset matching rules, the required human resource data is matched for each sub-task. Combined with the dependencies between sub-tasks, a construction schedule plan is generated. Based on the aforementioned construction schedule, execute the home decoration construction project and collect real-time progress data of the home decoration construction project. Compare the real-time progress data with the construction schedule and output a construction deviation report; Based on the preset risk threshold and the construction deviation report, determine whether the project has reached the warning conditions; When the warning conditions are met, locate the warning location and send a warning notification to the project management terminal.

2. The intelligent project management method based on home decoration construction according to claim 1, characterized in that, The steps of generating a construction schedule based on a preset intelligent algorithm, retrieving historical project data and preset industry standards, matching the required human resource data for each sub-task according to preset matching rules, and combining the dependencies between sub-tasks include: The preset matching rules include: Based on the records of human resource consumption of completed sub-tasks of the same type as the current sub-task in historical project data, and the human resource quota requirements of the corresponding type of sub-task in the preset industry standard, the baseline requirements for the skill type and number of personnel required for the current sub-task are determined. Based on the aforementioned baseline requirements and combined with the real-time status information of the pre-stored available human resource pool, a human resource allocation scheme that meets the skill type requirements and personnel quantity requirements is matched for the current subtask.

3. The intelligent project management method based on home decoration construction according to claim 2, characterized in that, The steps of generating a construction schedule based on a pre-set intelligent algorithm, retrieving historical project data and pre-set industry standards, matching the required human resource data for each sub-task according to pre-set matching rules, and combining the dependencies between sub-tasks, further include: If the real-time status information of the available artificial resource pool cannot meet the baseline requirements, a dynamic adjustment mechanism will be activated based on preset rules to output a dynamically adjusted resource allocation scheme. The dynamic adjustment mechanism includes: Based on skill similarity, match available workers with similar skills; Adjust the execution order or priority of adjacent subtasks that have dependencies, and release or transfer manual resources; Based on the dynamically adjusted resource allocation scheme and the dependencies between the subtasks, a construction schedule is generated. The construction schedule includes the planned start time, planned completion time, and planned resource consumption for each sub-task.

4. The intelligent project management method based on home decoration construction according to claim 3, characterized in that, The step of generating a construction schedule based on a dynamically adjusted resource allocation scheme and the dependencies between the subtasks includes: The dependencies between the subtasks are defined and stored in a structured manner through a preset dependency model, which includes serial dependencies, parallel dependencies, and immediate dependencies. Dependency types are automatically matched based on the mapping relationship between subtask attributes and the preset process rule base; When there is a sequential dependency, subtask B can only start after subtask A is completed, and there is a preset minimum time interval ΔT between the two. When there is a parallel dependency, subtask A and subtask B can be executed simultaneously without any order constraint. When there is a preceding dependency, the start of subtask B depends on a specific milestone node of subtask A and meets a preset progress threshold condition.

5. The intelligent project management method based on home decoration construction according to claim 4, characterized in that, The step of generating a construction schedule based on the dynamically adjusted resource allocation scheme and the dependencies between the subtasks further includes: Based on preset rules, a dependency-driven resource allocation strategy is executed: For sub-task chains with sequential dependencies, human resources are allocated sequentially according to the dependency order, and the time window for resource release and reallocation is calculated based on ΔT. For subtask groups with parallel dependencies, prioritize allocating multi-skilled workers from the available resource pool who meet the requirements for multitasking skills. For subtasks with immediate dependencies, the pre-allocation of resources for subsequent tasks is triggered in real time based on the milestone progress of the preceding tasks.

6. The intelligent project management method based on home decoration construction according to claim 5, characterized in that, The step of initiating a dynamic adjustment mechanism based on preset rules and outputting a dynamically adjusted resource allocation scheme if the real-time status information of the available artificial resource pool cannot meet the baseline requirements includes: When the dynamic adjustment mechanism is activated, changes to dependencies take precedence over resource adjustments, specifically including: If resource shortages occur on non-critical path tasks in a serial dependency chain, extend ΔT and delay subsequent tasks. If resource shortage occurs in a parallel task group, the parallel group is dynamically split into a serial chain and ΔT is recalculated. If the preset progress threshold condition of the immediate dependency is not met, the allocation of resources for subsequent tasks will be automatically postponed and alternative parallel tasks will be triggered.

7. The intelligent project management method based on home decoration construction according to claim 6, characterized in that, The step of comparing the real-time progress data with the construction schedule and outputting a construction deviation report includes: Extract the actual completion time and actual resource consumption from the real-time progress data; The actual completion time is compared with the planned completion time, and the progress deviation value is calculated based on the preset formula: progress deviation value = (actual completion time - planned completion time). The actual resource consumption is compared with the planned resource consumption, and the resource deviation rate is calculated based on the preset formula: Resource Deviation Rate = (Actual Resource Consumption - Planned Resource Consumption) / Planned Resource Consumption * 100%. Based on the schedule deviation value and the resource deviation rate, and combined with the analysis of the propagation impact of the deviation in conjunction with the dependencies between the sub-tasks, a construction deviation report is generated.

8. An intelligent project management system based on home decoration construction, characterized in that, include: Module 1: Collect initial demand data for home decoration construction projects, including worker skill information; The second module: Based on the preset intelligent algorithm and the initial demand data, the home decoration construction project is divided into several different construction sub-tasks; The third module: Based on a preset intelligent algorithm, it retrieves historical project data and preset industry standards, matches the required human resource data for each sub-task based on preset matching rules, and generates a construction schedule plan by combining the dependencies between sub-tasks. Module 4: Based on the construction schedule, execute the home decoration construction project and collect real-time progress data of the home decoration construction project; Module 5: Compare the real-time progress data with the construction schedule and output a construction deviation report; Module 6: Based on the preset risk threshold and the construction deviation report, determine whether the project has reached the warning conditions; Module 7: When the warning conditions are met, locate the warning location and send a warning notification to the project management terminal.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the intelligent project management method based on home decoration construction as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the intelligent project management method based on home decoration construction as described in any one of claims 1 to 7.

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