Digital management system and method for building decoration construction process

Abstract

This invention relates to a digital management system and method for building decoration construction processes. The system includes: a construction unit for hierarchically breaking down the building decoration construction process into construction procedure units with at least two layers; a processing unit for collecting and synchronizing multi-source construction data corresponding to each construction procedure unit to obtain construction data for judging the procedure status; an evaluation unit for evaluating the credibility of each candidate procedure status based on the preprocessed construction data; a determination unit for determining the target status of the construction procedure unit from multiple candidate procedure states based on the state conflict detection results and credibility evaluation results; and a management unit for analyzing the procedure dependencies between construction procedure units based on the target status of multiple construction procedure units and performing adaptive control. Using the above scheme can improve construction efficiency and the controllability of the construction process.

Description

Technical Field

[0001] This invention relates to the field of building construction technology, and in particular to a digital management system and method for building decoration construction process. Background Technology

[0002] Building decoration construction is characterized by a large number of procedures, frequent overlap of professional trades, dispersed construction locations, and dense acceptance points. The construction process often requires a dynamic balance between progress, quality, and resources.

[0003] Existing engineering management methods typically rely on project management software, on-site inspection / reporting systems, and BIM tools to record and statistically analyze the construction process. However, in practical applications, the following problems are still prevalent: First, construction data comes from diverse sources (such as personnel reports, material / equipment records, video data, and sensor data), and the data formats and granularities are inconsistent, making it difficult to form a unified and calculable basis for determining the status of work processes. Second, there are hierarchical relationships and sequential constraints between work processes, and there are also overlapping and interleaved operations on site, making it easy for status judgments based on a single rule or a single data source to lead to conflicts or misjudgments. Third, when the status of work processes is uncertain or conflicting, existing systems mostly rely on manual verification and lack a quantitative assessment mechanism for the source of conflict, the scope of impact, and the credibility, thus making it difficult to support adaptive scheduling and control of subsequent work processes.

[0004] Therefore, a technical solution is needed that can perform hierarchical modeling of the decoration and construction process to improve construction efficiency and the controllability of the construction process. Summary of the Invention

[0005] Based on this, the present invention provides a digital management system and method for the construction process of building decoration, which can improve construction efficiency and controllability of the construction process.

[0006] A digital management system for building decoration construction process includes: a construction unit for hierarchically decomposing the building decoration construction process into construction process units with at least two layers, and constructing a corresponding process parameter set for each construction process unit; a processing unit for collecting and synchronizing multi-source construction data corresponding to each construction process unit, and preprocessing the multi-source construction data to obtain construction data for judging the process status; an evaluation unit for generating multiple candidate process states for the same construction process unit based on the preprocessed construction data, performing state conflict detection on the candidate process states, and evaluating the credibility of each candidate process state based on the process parameter set; a determination unit for determining the target state of the construction process unit from the multiple candidate process states based on the state conflict detection results and the credibility evaluation results; and a management unit for parsing the process dependencies between the construction process units based on the target states of the multiple construction process units, and performing adaptive control of the building decoration construction process based on the parsed process dependencies.

[0007] Optionally, the construction unit is used to determine the set of process parameters corresponding to each construction process unit by the following steps: based on the construction sequence, construction object, and construction resources of the building decoration construction process, the construction process is initially divided into multiple atomic construction process units; based on the temporal dependency and spatial association between the atomic construction process units, the atomic construction process units are aggregated to form a construction process unit hierarchy system with at least two layers; for construction process units at different levels, differentiated process parameter templates are constructed; based on the process parameter templates, a corresponding set of process parameters is generated for each construction process unit, and multi-dimensional parameter information for process status determination, status evaluation, and process evolution analysis is configured in the set of process parameters.

[0008] Optionally, the evaluation unit is used to evaluate the credibility of each candidate process state through the following steps: based on the construction data output by the processing unit, generating corresponding initial process state sub-results for the same construction process unit from multiple dimensions such as construction progress, construction quality, resource consumption, and construction environment impact; representing the initial process state sub-results as state vectors to form multiple process state vectors; based on the hierarchical relationship of the construction process units, performing cross-level mapping and association on process state vectors at different levels; based on the process parameter set, applying process constraints to the associated process state vectors to generate a candidate process state set; performing state consistency analysis and state conflict detection on the candidate process state set, and performing state correction processing on candidate process states with conflicts; based on the corrected candidate process state set, calculating the credibility index of each candidate process state, and outputting the process state evaluation result.

[0009] Optionally, the evaluation unit is used to perform cross-level mapping and association of process state vectors at different levels through the following steps: determining the mapping relationship between construction process units at different levels based on the hierarchical system of the construction process units; mapping the process state vectors of lower-level construction process units to the corresponding higher-level construction process units according to the mapping relationship; and aggregating the mapped process state vectors to form the associated state vectors of higher-level construction process units, including: assigning hierarchical influence weights to the corresponding process state vectors according to the degree of influence of different lower-level construction process units on higher-level construction process units; and performing weighted aggregation of the mapped process state vectors based on the hierarchical influence weights.

[0010] Optionally, the evaluation unit is used to output the process status evaluation result through the following steps: obtaining the process status evaluation result corresponding to the same construction process unit in multiple consecutive evaluation periods; calculating the degree of status change among the process status evaluation results in the multiple consecutive evaluation periods; determining the stability index of the process status evaluation result based on the degree of status change; and generating a corresponding reliability index based on the stability index as the process status evaluation result.

[0011] Optionally, the determining unit is used to determine the target state of the construction process unit through the following steps: constructing a state candidate space for the construction process unit based on the process state evaluation results output by the evaluation unit; predicting the state evolution trend of the construction process unit based on historical construction data and the current process state evaluation results; introducing the state evolution trend into the state candidate space to form a state evolution constraint model; introducing construction progress objectives, construction cost objectives, and construction quality objectives under the state evolution constraint model to construct a multi-objective decision model; and solving the state candidate space based on the multi-objective decision model to determine the target state of the construction process unit.

[0012] Optionally, the determining unit is used to determine the target state of the construction process unit through the following steps: converting the construction progress target, the construction cost target, and the construction quality target into quantifiable objective functions; applying constraints to the objective functions based on the state evolution constraint model; and performing multi-objective optimization on the state candidate space under the constraints.

[0013] Optionally, the management unit adaptively controls the building decoration construction process by performing the following steps: based on the target states of multiple construction process units, it obtains the state type, state change time, and state duration information corresponding to each construction process unit; based on the state type, state change time, and state duration information, it analyzes whether there is at least one of the following relationships among the construction process units: sequential constraint relationship, conditional dependency relationship, and potential influence relationship; when the analysis shows that a process dependency relationship exists, it constructs a process dependency relationship description including dependency type and dependency strength; based on the process dependency relationship description, it performs a matching verification between the current execution state of each construction process unit and the preset construction constraint conditions; when the matching verification fails, it determines the target construction process unit affected by the process dependency relationship and evaluates the degree of influence of the target construction process unit on the overall construction process; based on the degree of influence, it generates corresponding construction process control instructions to adaptively control the building decoration construction process.

[0014] Optionally, the management unit is configured to assess the degree of influence by employing the following steps: based on the target state of the target construction process unit, obtaining the construction progress deviation parameter, construction resource occupancy parameter, and process association parameter corresponding to the target construction process unit; determining the influence weight of the target construction process unit on the overall construction progress based on the construction progress deviation parameter; determining the association influence weight of the target construction process unit on other construction process units based on the construction resource occupancy parameter and process association parameter; and comprehensively assessing the degree of influence of the target construction process unit based on the influence weight.

[0015] The management unit is used to adaptively control the building decoration construction process using the following steps: generating corresponding construction process control instructions based on the degree of influence, thereby adaptively controlling the building decoration construction process; dividing the degree of influence of the target construction process unit into at least two degree levels based on the degree of influence obtained from the comprehensive assessment; configuring corresponding construction process control strategies for different degree levels; generating construction process control instructions that match the degree of influence of the target construction process unit; and sending the construction process control instructions to the corresponding construction process unit to perform hierarchical control of the building decoration construction process.

[0016] A digital management system for building decoration construction processes includes:

[0017] The construction process of building decoration is broken down into hierarchical units, forming construction procedure units with at least two layers of structure, and a corresponding set of procedure parameters is constructed for each of the construction procedure units.

[0018] Collect and synchronize multi-source construction data corresponding to each construction process unit, and preprocess the multi-source construction data to obtain construction data for judging the process status.

[0019] Based on the preprocessed construction data, multiple candidate process states are generated for the same construction process unit, and state conflict detection is performed on the candidate process states, and the credibility of each candidate process state is evaluated based on the process parameter set.

[0020] Based on the state conflict detection results and the credibility assessment results, the target state of the construction process unit is determined from multiple candidate process states;

[0021] Based on the target state of multiple construction process units, the process dependencies between construction process units are analyzed, and adaptive control of the building decoration construction process is carried out according to the analyzed process dependencies.

[0022] The above approach, by hierarchically breaking down the construction process of building decoration, ensures that each construction procedure unit has a clear structural relationship and parameter constraints. Based on this, by collecting and integrating multi-source construction data and generating multiple candidate procedure states for the same construction procedure unit, misjudgments of procedure states caused by relying on a single data source or a single judgment result are avoided. Furthermore, by performing state conflict detection and credibility assessment based on the procedure parameter set on the candidate procedure states, the target procedure state that best matches the actual construction situation can be selected even in cases of incomplete data or complex construction site environments, thereby improving the accuracy and reliability of procedure state identification. Based on the accurately determined target procedure states, the dependencies between construction procedure units can be analyzed, and the construction process can be adaptively controlled. This allows the construction plan to be dynamically adjusted according to the actual construction status, effectively reducing the risk of construction conflicts and improving construction efficiency and the controllability of the construction process. Attached Figure Description

[0023] Figure 1 A schematic diagram of the structure of a digital management system for building decoration construction process provided in an embodiment of the present invention;

[0024] Figure 2 A flowchart of a digital management method for building decoration construction process provided in an embodiment of the present invention. Detailed Implementation

[0025] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the specific details described below are only a part of the embodiments of the present invention, and the present invention can be implemented in many other embodiments different from those described herein. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the protection scope of the present invention.

[0026] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.

[0027] This invention provides a multi-level state recognition and adaptive control scheme for the construction process of building decoration, thereby improving the reliability of state recognition and the adaptability of process control.

[0028] See Figure 1 The diagram shown is a structural schematic of a digital management system for building decoration construction process provided by an embodiment of the present invention. Figure 1 As shown, the digital management system 100 for the construction and decoration process may include:

[0029] The construction unit 110 is used to hierarchically break down the building decoration construction process into construction process units with at least two layers of structure, and to build a corresponding set of process parameters for each construction process unit.

[0030] The processing unit 120 is used to collect and synchronize multi-source construction data corresponding to each construction process unit, and to preprocess the multi-source construction data to obtain construction data for judging the process status.

[0031] Evaluation unit 130 is used to generate multiple candidate process states for the same construction process unit based on preprocessed construction data, perform state conflict detection on the candidate process states, and evaluate the credibility of each candidate process state based on the process parameter set.

[0032] The determination unit 140 is used to determine the target state of the construction process unit from multiple candidate process states based on the state conflict detection results and the credibility assessment results.

[0033] The management unit 150 is used to analyze the process dependencies between multiple construction process units based on the target state of multiple construction process units, and to perform adaptive control of the building decoration construction process according to the analyzed process dependencies.

[0034] In this embodiment, the working mechanism of the digital management system 100 for building decoration construction process is as follows:

[0035] During the construction and decoration process, the building unit 110 can divide the overall construction process into multiple primary construction procedure units according to the construction content, construction sequence or construction object, and further divide the primary construction procedure units into several secondary construction procedure units, thereby forming a construction procedure structure with a clear hierarchical relationship.

[0036] Meanwhile, the construction unit 110 can construct a corresponding set of process parameters for each construction process unit. The set of process parameters is used to describe the characteristic information of the construction process unit. The set of process parameters includes at least one or more of the following: construction process type, construction resource requirements, time constraints, quality control parameters, and safety constraints.

[0037] At the same time, the processing unit 120 can preprocess the multi-source construction data to obtain construction data for judging the status of the process.

[0038] The multi-source construction data includes, but is not limited to: data collected by sensors at the construction site, data on the operation of construction equipment, data on the behavior of construction personnel, construction images or videos, and data on construction progress records.

[0039] The processing unit 120 can perform preprocessing operations such as time synchronization, data cleaning, outlier removal, and format unification on multi-source construction data, thereby generating structured construction data that can be used for process status analysis.

[0040] Based on the preprocessed construction data, the evaluation unit 130 can generate multiple candidate process states for the same construction process unit.

[0041] Among them, the candidate process status is used to characterize the construction status of the construction process unit under different possible conditions. The candidate process status includes at least one or more of the following: not started, in progress, suspended, completed, and abnormal.

[0042] The evaluation unit 130 further performs state conflict detection on the candidate process status to determine whether there are logical contradictions or timing conflicts between different candidate process statuses.

[0043] Meanwhile, the evaluation unit 130 evaluates the credibility of each candidate process status based on the process parameter set to obtain the credibility result corresponding to each candidate process status. The credibility result is used to reflect the degree of matching between the candidate process status and the actual construction situation.

[0044] The determination unit 150 can prioritize eliminating candidate process states that have state conflicts, and select the candidate process state that meets the preset confidence conditions or has the highest confidence among the remaining candidate process states as the target state of the corresponding construction process unit.

[0045] Finally, the management unit 150 can be used to resolve the process dependencies between multiple construction process units based on their target states. These process dependencies include, but are not limited to, sequence dependencies, resource occupancy dependencies, and spatial conflict dependencies.

[0046] Based on the process dependencies obtained from the analysis, the management unit 150 performs adaptive control on the building decoration construction process. The adaptive control includes one or more of the following: construction sequence adjustment, dynamic resource scheduling, construction progress optimization, and risk warning, thereby realizing intelligent management of the building decoration construction process.

[0047] Thus, this invention hierarchically breaks down the construction process of building decoration, giving each construction procedure unit a clear structural relationship and parameter constraints. Based on this, by collecting and fusing multi-source construction data and generating multiple candidate procedure states for the same construction procedure unit, it avoids misjudgments of procedure states caused by relying on a single data source or a single judgment result. Furthermore, by performing state conflict detection and credibility assessment based on the procedure parameter set on the candidate procedure states, it can select the target procedure state that best matches the actual construction situation, even in cases of incomplete data or complex construction site environments, thereby improving the accuracy and reliability of procedure state identification. Based on the accurately determined target procedure state, it is possible to analyze the dependencies between construction procedure units and adaptively control the construction process, enabling the construction plan to be dynamically adjusted according to the actual construction status, effectively reducing the risk of construction conflicts and improving construction efficiency and the controllability of the construction process.

[0048] In some embodiments, the construction unit can be used to determine the set of process parameters corresponding to each construction process unit by the following steps: based on the construction sequence, construction objects, and construction resources of the building decoration construction process, the construction process is initially divided into multiple atomic construction process units; based on the temporal dependencies and spatial relationships between atomic construction process units, the atomic construction process units are aggregated to form a construction process unit hierarchy system with at least two layers; for construction process units at different levels, differentiated process parameter templates are constructed; based on the process parameter templates, a corresponding set of process parameters is generated for each construction process unit, and multi-dimensional parameter information for process status determination, status evaluation, and process evolution analysis is configured in the set of process parameters.

[0049] Specifically, this involves acquiring basic information about the building decoration construction process, including but not limited to construction sequence, construction objects, and construction resource information. Construction sequence represents the temporal relationship between various construction activities; construction objects represent the specific spatial units, components, or decoration areas affected by the construction; and construction resources represent the personnel, materials, machinery, equipment, and tools involved in the construction. Based on this basic information, the complete building decoration construction process is initially broken down into its operational steps.

[0050] The principles of decomposition include, but are not limited to, one or more of the following: the principle of a single construction object, that is, each process corresponds to only one specific construction object; the principle of a single construction action, that is, each process contains only one construction operation or technological behavior; and the principle of relatively independent resources, that is, the main construction resources corresponding to each process are relatively independent.

[0051] Based on the above decomposition rules, the construction and decoration process is divided into multiple smallest indivisible construction procedure units, which are defined as atomic construction procedure units. Each atomic construction procedure unit has clearly defined construction content, construction objects, and resource allocation attributes.

[0052] After obtaining multiple atomic construction process units, the temporal dependencies and spatial relationships between each atomic construction process unit are further analyzed.

[0053] Among them, temporal dependency is used to characterize the sequential constraint relationship between different construction process units in terms of construction time, such as the surface layer construction can only be carried out after the base treatment is completed; spatial association is used to characterize the adjacency, inclusion relationship or regional consistency of construction process units in physical space, such as being located in the same room, the same functional area or the same facade.

[0054] Based on temporal dependencies and spatial relationships, multiple atomic construction process units are aggregated to form a construction process unit hierarchy system with at least two layers.

[0055] Specifically: the first layer is the atomic construction process unit layer, which is used to describe the most basic construction behavior; the second layer is the aggregated construction process unit layer, which is used to combine multiple atomic construction process units with the same construction stage attribute, spatial area attribute, or functional attribute.

[0056] In an optional implementation, higher-level construction process units can be further formed to describe construction items, sections, or overall construction stages.

[0057] For the atomic construction process unit layer, the constructed process parameter template shall include at least one or more of the following parameter types: construction status parameters, used to characterize the execution status of the process; resource consumption parameters, used to characterize the input and use of resources during construction; time parameters, used to characterize the construction duration, start time and end time; quality and process parameters, used to characterize the construction quality requirements and process control indicators.

[0058] For the aggregated construction process unit layer, the constructed process parameter template focuses on describing the comprehensive characteristics of multiple lower-level process units, including but not limited to overall completion, stage progress, resource coordination status, and risk assessment parameters.

[0059] Based on the constructed process parameter template, a corresponding process parameter set is generated for each construction process unit. The process parameter set is a data set composed of multiple specific parameter instances, used to describe and record the operational status of the construction process unit.

[0060] The process parameter set includes multi-dimensional parameter information for process status determination, status evaluation, and process evolution analysis. Specifically: process status determination parameters determine the current status of a construction process unit, including states such as not started, under construction, paused, and completed; process status evaluation parameters assess the performance of the construction process unit, including indicators such as schedule deviation, resource utilization, and quality compliance; and process evolution analysis parameters analyze the evolution of the construction process unit over time, providing data support for construction process optimization, adjustment, and decision-making.

[0061] By adopting the above scheme, the construction process of building decoration is atomized and decomposed into atomic construction procedure units with clear construction objects and resource boundaries. Based on the temporal dependencies and spatial relationships between procedures, a multi-level construction procedure unit system is constructed, giving the construction process a clear structural expression in both time and space dimensions. At the same time, differentiated procedure parameter templates are constructed for different levels of construction procedure units, and a multi-dimensional parameter set including procedure status determination, status evaluation, and procedure evolution analysis is generated accordingly. This achieves refined description and dynamic management of construction procedure status, thereby improving the modelability, analyzability, and overall efficiency of construction management in the building decoration construction process.

[0062] Accordingly, the processing unit determines the construction data that meets the requirements for judging the process status in the following ways: It acquires multi-source construction data corresponding to the decoration process unit, including at least two of the following: mobile terminal process reporting data, on-site image / video data, material arrival and requisition data, and acceptance record data; it encapsulates the multi-source construction data into a construction event package, which includes at least a process identifier, spatial location identifier, collection timestamp, data source identifier, and data payload field; it performs time alignment processing on the construction event package, constructs an event queue aggregated by process unit, and performs deduplication, disordered rearrangement, and missing segment marking on the event queue to obtain a synchronized construction event sequence; it extracts data consistency features and data completeness features from the synchronized construction event sequence, where: the data consistency feature includes at least the proportion of consistent conclusions from different data sources for the same process within the same time window; the data completeness feature includes at least the proportion of required fields present and the coverage proportion of required data sources; and it outputs preprocessing results based on the data consistency and data completeness features, including at least an available dataset, an abnormal dataset, and a missing data collection suggestion set, for use in subsequent candidate process status generation.

[0063] In some embodiments, the evaluation unit is used to evaluate the credibility of each candidate process status through the following steps: based on the construction data output by the processing unit, generating corresponding initial process status sub-results for the same construction process unit from multiple dimensions such as construction progress, construction quality, resource consumption, and construction environment impact; representing the initial process status sub-results as state vectors to form multiple process status vectors; based on the hierarchical relationship of the construction process units, performing cross-level mapping and association on process status vectors at different levels; based on the process parameter set, applying process constraints to the associated process status vectors to generate a candidate process status set; performing state consistency analysis and state conflict detection on the candidate process status set, and performing state correction processing on candidate process statuses with conflicts; based on the corrected candidate process status set, calculating the credibility index of each candidate process status, and outputting the process status evaluation result.

[0064] Specifically, the assessment unit can obtain construction data corresponding to the target construction process unit. The construction data includes at least construction progress data, construction quality data, resource consumption data, and construction environmental impact data. Among them, construction progress data is used to characterize the actual completion status of the process, construction quality data is used to reflect the quality level of the process execution, resource consumption data is used to describe the consumption of manpower, materials, and machinery and equipment, and construction environmental impact data is used to reflect the degree of impact on the surrounding environment during the implementation of the process.

[0065] After obtaining the aforementioned construction data, the evaluation unit analyzes and processes the same construction process unit from multiple dimensions, including construction progress, construction quality, resource consumption, and environmental impact, generating corresponding initial process state sub-results for each dimension. These initial process state sub-results independently reflect the state characteristics of the construction process unit under the corresponding dimension.

[0066] Subsequently, the evaluation unit performs state vectorization representation on the initial process state sub-results, mapping each initial process state sub-result to a process state vector that contains at least state feature parameters, thereby forming multiple process state vectors. Through vectorization representation, process states of different dimensions have a unified data structure, facilitating subsequent calculations, comparisons, and correlation analysis.

[0067] After generating multiple process state vectors, the evaluation unit performs cross-level mapping and association of process state vectors at different levels based on the hierarchical relationships between construction process units. Hierarchical relationships include the subordinate or dependent relationships between processes and sub-processes, and between sub-items and sub-sections of a project. Through cross-level mapping, lower-level process state vectors are associated with their corresponding higher-level process state vectors, thereby reflecting the influence of process states on the overall construction structure.

[0068] Next, the evaluation unit applies process constraints to the associated process state vectors based on a pre-built set of process parameters, generating a candidate process state set. These process constraints include at least schedule constraints, quality threshold constraints, resource consumption upper limit constraints, and environmental impact constraints, used to screen the rationality and feasibility of process states.

[0069] After generating the candidate process state set, the evaluation unit performs state consistency analysis and state conflict detection on the candidate process state set. State consistency analysis is used to determine whether the process states under different dimensions and levels are logically consistent, while state conflict detection is used to identify candidate process states that have contradictions in schedule, quality, or resource usage. For candidate process states that are found to have conflicts, the processing unit performs state correction processing, adjusting or recalculating the conflict state parameters according to preset correction rules.

[0070] Finally, based on the revised set of candidate process states, the evaluation unit calculates a reliability index for each candidate process state. The reliability index measures the reliability of the process state evaluation results, and its calculation comprehensively considers data integrity, state consistency, and historical process state matching. The evaluation unit outputs the final process state evaluation results based on the reliability index, providing a basis for construction management and decision-making.

[0071] In some embodiments, the evaluation unit is used to perform cross-level mapping and association of process state vectors at different levels through the following steps: determining the mapping relationship between construction process units at different levels based on the hierarchical system of construction process units; mapping the process state vectors of lower-level construction process units to the corresponding higher-level construction process units according to the mapping relationship; and aggregating the mapped process state vectors to form the associated state vectors of higher-level construction process units, including: assigning hierarchical influence weights to the corresponding process state vectors according to the degree of influence of different lower-level construction process units on higher-level construction process units; and performing weighted aggregation of the mapped process state vectors based on the hierarchical influence weights.

[0072] Specifically, based on a hierarchical system of construction process units, the construction process is divided into levels. This hierarchical system includes at least two levels, such as a basic process level, a sub-process level, and a comprehensive process level. Lower-level construction process units are components that make up higher-level construction process units.

[0073] The evaluation unit determines the mapping relationships between construction process units at different levels based on a pre-established hierarchical structure model of construction procedures. These mapping relationships characterize the hierarchical or combinational relationships between lower-level construction process units and their corresponding higher-level construction process units. These mapping relationships can be defined through configuration files, process relationship tables, or construction process rules.

[0074] After obtaining the process state vector of the lower-level construction process unit, the evaluation unit maps the process state vector of the lower-level construction process unit to the corresponding higher-level construction process unit according to the mapping relationship.

[0075] The process state vector is used to represent the current state information of the corresponding construction process unit, including at least one or more of the following: progress state, quality state, safety state, and resource consumption state.

[0076] After mapping the low-level process state vectors, the evaluation unit aggregates the mapped process state vectors to form the associated state vectors of the high-level construction process units. This process includes the following steps:

[0077] The evaluation unit assigns hierarchical influence weights to the corresponding process state vectors based on the degree of influence of different lower-level construction process units on higher-level construction process units. The hierarchical influence weights can be determined based on process importance, construction sequence, resource allocation, historical data analysis results, or expert experience, and can be fixed weights or dynamically adjusted weights.

[0078] The evaluation unit, based on hierarchical influence weights, performs weighted aggregation on the mapped low-level process state vectors to generate associated state vectors for high-level construction process units.

[0079] Weighted aggregation methods may include weighted summation, weighted average, or other vector fusion methods, so that the associated state vector of a high-level construction process unit can comprehensively reflect the overall state characteristics of its subordinate low-level construction process units.

[0080] Furthermore, state consistency analysis and state conflict detection are performed on the candidate process state set, and state correction processing is performed on the candidate process states with conflicts, including: constructing process state consistency constraint rules based on the hierarchical relationship and process dependency relationship between construction process units; substituting the candidate process state set into the consistency constraint rules to detect state conflicts between candidate process states; identifying the key process states that cause the conflicts for the detected state conflicts; and performing state correction or state deweighting processing on the key process states.

[0081] Specifically, the construction project is broken down into work processes, dividing the construction process into multiple work units, each corresponding to a specific construction task. Based on the construction organization design or construction process flow, the hierarchical relationships and dependencies between the work units are constructed:

[0082] Hierarchical relationships are used to describe the parent-child or superior-subordinate relationships between processes, such as the subordinate relationship between a sub-item project and the specific construction processes it contains; dependency relationships are used to describe the sequential constraints between processes, such as a process that can only begin after the preceding process has been completed.

[0083] Based on the above relationships, a process relationship diagram is formed, where nodes represent process units and edges represent the hierarchy or dependency constraints between processes.

[0084] Based on the process relationship diagram, and based on the preset process state set (such as not started, in progress, completed, etc.), process state consistency constraint rules are constructed.

[0085] Consistency constraints must include at least the following: For process units with hierarchical relationships, the state of a higher-level process must not precede the state of its lower-level process. For example, when any lower-level process is in an incomplete state, its corresponding higher-level process must not be marked as completed.

[0086] For process units with dependencies, the state of a subsequent process must not be ahead of the state of a preceding process. For example, if a preceding process has not yet been completed, a subsequent process must not be in progress or completed.

[0087] The obtained set of candidate process states is substituted into the process state consistency constraint rules to perform consistency checks on the current state of each process unit. During the check, each candidate process state is verified to ensure it meets the corresponding hierarchical consistency constraint rules and dependency consistency constraint rules.

[0088] When a candidate process state violates any consistency constraint rule, it is determined that there is a state conflict between the relevant processes, and the conflicting process pair and the corresponding conflict type are recorded.

[0089] For the detected state conflicts, the key process states that caused the conflicts are further analyzed. Specifically, based on the position of the process in the hierarchical structure, the direction of the process dependency relationship, and the frequency or scope of the state conflict, the process states that have a dominant influence on the conflict are identified as key process states.

[0090] In one embodiment, process states that are located at the back end of the dependency relationship or at the top of the hierarchy and whose states are ahead are preferentially identified as critical process states.

[0091] For the identified critical process states, perform state correction or state de-weighting processing according to the preset processing strategy:

[0092] Status correction processing: Correct the status of critical processes to conform to the consistency constraint rules, such as correcting unreasonable completed status to in progress or incomplete.

[0093] Status deweighting: Without directly modifying the status of a work process, reduce the weight of the status of key work processes in subsequent construction progress assessments, plan adjustments, or decision analyses, so as to reduce their impact on overall construction judgments.

[0094] By employing the above processing methods, consistency and coordination between process states can be achieved, thereby improving the accuracy and reliability of construction status data.

[0095] Accordingly, the evaluation unit is used to output the process status evaluation result through the following steps: obtaining the process status evaluation result of the same construction process unit in multiple consecutive evaluation periods; calculating the degree of status change between the process status evaluation results in multiple consecutive evaluation periods; determining the stability index of the process status evaluation result based on the degree of status change; and generating the corresponding reliability index as the process status evaluation result based on the stability index.

[0096] In this embodiment, the evaluation unit obtains the process status evaluation results of the same construction process unit within multiple consecutive evaluation cycles. The evaluation cycle can be set according to the actual needs of the construction site, for example, in minutes, hours, or shifts. The process status evaluation results can include process progress status, quality status, safety status, or a combination thereof, and can be represented in numerical, hierarchical, or vector form.

[0097] Secondly, the evaluation unit compares and analyzes the process status evaluation results across multiple consecutive evaluation periods, calculating the degree of change in the process status evaluation results between each evaluation period. Specifically, the evaluation unit can obtain parameters reflecting the degree of change in process status by calculating the difference, rate of change, or similarity index of the process status evaluation results within adjacent evaluation periods. A greater degree of change indicates more significant fluctuations in the process status within consecutive evaluation periods.

[0098] Then, the evaluation unit determines the stability index of the process status evaluation result based on the degree of state change. Specifically, when the degree of state change is lower than a preset change threshold, the evaluation unit determines the corresponding stability index to be high, indicating that the process status remains relatively stable over multiple consecutive evaluation periods; when the degree of state change is higher than the preset change threshold, the evaluation unit determines the corresponding stability index to be low, indicating that the process status fluctuates significantly. The stability index can be expressed in numerical or hierarchical form.

[0099] Finally, the evaluation unit generates a corresponding reliability index based on the stability index and outputs the reliability index as part of the process status evaluation result. Specifically, the higher the stability index, the higher the corresponding reliability index, indicating that the current process status evaluation result has high reliability; the lower the stability index, the lower the corresponding reliability index, suggesting that the current process status evaluation result may be affected by abnormal factors and requires further review or manual intervention.

[0100] The above technical solution transforms the evaluation of construction process status from a single indicator to a comprehensive evaluation model that is multi-dimensional, vectorized, and hierarchically related. First, initial process status sub-results are generated from multi-dimensional construction data. Then, status vectorization and cross-level mapping are performed, effectively enhancing the completeness and structural consistency of the process status description. Based on this, a process constraint and status consistency analysis and conflict detection mechanism are introduced to promptly identify and correct unreasonable or contradictory process statuses, thereby avoiding overall evaluation distortion caused by local data deviations. Finally, a credibility index is used to quantitatively evaluate the corrected candidate process status, resulting in output process status evaluation results with higher accuracy, reliability, and engineering applicability, significantly improving the level of refined management in the construction process.

[0101] In some embodiments, the determining unit is used to determine the target state of a construction process unit through the following steps: constructing a state candidate space for the construction process unit based on the process state evaluation results output by the evaluation unit; predicting the state evolution trend of the construction process unit based on historical construction data and the current process state evaluation results; introducing the state evolution trend into the state candidate space to form a state evolution constraint model; introducing construction progress objectives, construction cost objectives, and construction quality objectives under the state evolution constraint model to construct a multi-objective decision model; and solving the state candidate space based on the multi-objective decision model to determine the target state of the construction process unit.

[0102] Specifically, the determination unit analyzes the current state of the construction process unit based on the process state evaluation results output by the evaluation unit, extracts state characteristic parameters that reflect the construction progress, resource allocation, quality level and risk level, and constructs the state candidate space of the construction process unit based on the pre-set process state division rules.

[0103] The state candidate space is used to characterize a set of multiple feasible states that a construction process unit may reach in the future, and each candidate state corresponds to a set of state feature parameters.

[0104] Historical construction data includes historical progress data, cost data, quality inspection data, and environmental impact data for similar construction procedures; the determination of units uses time series analysis, regression analysis, or machine learning models to predict the direction and magnitude of state changes of construction procedure units in future periods, thereby obtaining the state evolution trend.

[0105] The determining unit introduces the predicted state evolution trend into the state candidate space, constrains or eliminates candidate states that do not conform to the state evolution law, and forms a state evolution constraint model.

[0106] Among them, the state evolution constraint model is used to describe the feasible boundary conditions of the state of the construction process unit changing over time, so as to ensure that the determination of the target state meets the requirements of continuity and accessibility in the actual construction process.

[0107] Under the state evolution constraint model, the unit is defined to introduce construction progress target, construction cost target and construction quality target, each target is quantitatively described, and a multi-objective decision model is constructed.

[0108] Among them, the construction schedule target is used to constrain the degree to which construction process units are completed within the predetermined construction period, the construction cost target is used to constrain the level of resource consumption and expenditure, and the construction quality target is used to constrain the degree to which the construction results meet the quality standards; the multi-objective decision model is used to comprehensively weigh the relationship between the above multiple objectives.

[0109] The unit determines the target state based on a multi-objective decision-making model, solving the candidate state space to obtain the candidate state that satisfies the state evolution constraints and is optimal under the multi-objective meaning. This candidate state is then determined as the target state of the construction process unit. The target state is used to guide subsequent construction resource scheduling, process adjustment, and process control.

[0110] Furthermore, the unit is used to determine the target state of the construction process unit through the following steps: converting the construction progress target, construction cost target, and construction quality target into quantifiable objective functions; applying constraints to the objective functions based on the state evolution constraint model; and performing multi-objective optimization to solve the state candidate space under the constraints.

[0111] Specifically, the unit first obtains the construction schedule target, construction cost target, and construction quality target. Among them, the construction schedule target is used to characterize the degree of completion of the construction process unit within the planned period, the construction cost target is used to characterize the resource consumption level of the construction process unit, and the construction quality target is used to characterize the degree to which the construction results meet the preset quality standards.

[0112] Based on this, the unit determines that the construction schedule target, construction cost target, and construction quality target are respectively transformed into quantifiable objective functions. For example, the construction schedule target can be transformed into a schedule objective function with the goal of minimizing the schedule deviation or completion time; the construction cost target can be transformed into a cost objective function that is a weighted sum of labor cost, material cost, and equipment cost; and the construction quality target can be transformed into a quality objective function with the quality pass rate or quality defect penalty value as an indicator, thereby achieving a unified quantitative expression of different construction targets.

[0113] The unit is determined based on a pre-established state evolution constraint model, which imposes constraints on the objective function. The state evolution constraint model describes the state change patterns of construction process units over time, and its constraints may include, but are not limited to, resource availability constraints, process sequence constraints, construction specification constraints, and safety constraints. By introducing constraints, it is ensured that the optimization results of the objective function conform to the physical laws and management requirements of the actual construction process.

[0114] Under constraints, the determining unit performs multi-objective optimization to solve the state candidate space of construction process units. The state candidate space represents the set of feasible states for a construction process unit under different combinations of schedule, cost, and quality. The determining unit can use a multi-objective optimization algorithm to search the state candidate space to obtain the target state that achieves comprehensive optimality or Pareto optimality among construction schedule, construction cost, and construction quality.

[0115] Finally, the optimal state or optimal state set obtained from the multi-objective optimization solution is determined as the target state of the construction process unit, which serves as the basis for subsequent construction decisions and scheduling.

[0116] Through the above steps, it is determined that the target state of the construction process unit can be scientifically and rationally determined while taking into account the construction progress, construction cost and construction quality, thereby improving the level of refinement and intelligence in construction management.

[0117] Thus, this invention, by setting up a determining unit, constructs a state candidate space for construction process units based on the obtained process state evaluation results, and predicts the evolution trend of process states by combining historical construction data. It introduces a state evolution constraint model, and, while considering construction schedule, cost, and quality objectives, constructs a multi-objective decision-making model to determine the target state of the construction process unit. This enables scientific prediction and comprehensive decision-making regarding the state of construction process units, avoiding construction deviations caused by single objectives or experience-based judgments, improving the controllability and rationality of the construction process, and effectively enhancing the level of construction schedule management, cost control capabilities, and overall stability of construction quality.

[0118] In some embodiments, the management unit adaptively controls the building decoration construction process by performing the following steps: based on the target states of multiple construction process units, it obtains the state type, state change time, and state duration information corresponding to each construction process unit; based on the state type, state change time, and state duration information, it analyzes whether there are at least one of the following relationships among the construction process units: sequential constraint relationship, conditional dependency relationship, and potential influence relationship; when the analysis shows that a process dependency relationship exists, it constructs a process dependency relationship description that includes dependency type and dependency strength; based on the process dependency relationship description, it performs a matching verification between the current execution state of each construction process unit and the preset construction constraint conditions; when the matching verification fails, it determines the target construction process unit affected by the process dependency relationship and assesses the degree of influence of the target construction process unit on the overall construction process; based on the degree of influence, it generates corresponding construction process control instructions to adaptively control the building decoration construction process.

[0119] For example, management units are used for adaptive control of the building decoration construction process. The building decoration construction process is divided into multiple construction process units, each of which corresponds to a construction stage or work content that can be independently monitored and controlled, and has a pre-set corresponding target state.

[0120] The management unit first collects and acquires the status information of each construction process unit based on the target status of multiple construction process units. The status information includes, but is not limited to, the status type, status change time, and status duration of the construction process unit. Among them, the status type is used to characterize the current execution status of the construction process unit, the status change time is used to reflect the time node when the status changes, and the status duration is used to characterize the length of time the status is maintained.

[0121] After obtaining the aforementioned status information, the management unit analyzes the relationships between construction process units based on their status type, status change time, and status duration to determine whether at least one of the following relationships exists: sequential constraint, conditional dependency, and potential impact. Sequential constraint characterizes the temporal execution restrictions of different construction process units; conditional dependency characterizes the requirement for the execution of one construction process unit to satisfy specific status conditions of other construction process units; and potential impact characterizes the indirect effects that a change in the execution status of one construction process unit may have on other construction process units.

[0122] When the analysis results indicate that there are process dependencies between construction process units, the management unit further constructs a corresponding process dependency description. This description includes at least the dependency type and dependency strength. The dependency type characterizes the specific category of the process dependency, while the dependency strength quantifies the degree of impact of the dependency on the construction process.

[0123] Based on this, the management unit matches and verifies the current execution status of each construction process unit against pre-set construction constraints, using the process dependency description. Construction constraints include process execution sequence constraints, time constraints, and resource constraints.

[0124] When the matching verification fails, the management unit identifies the target construction process unit affected by the process dependency and further assesses the degree of impact of the target construction process unit on the overall construction process. The degree of impact can comprehensively consider factors such as construction schedule deviation, construction quality risks, and changes in resource utilization.

[0125] Finally, based on the assessed impact level, the management unit generates corresponding construction process control instructions and sends these instructions to the relevant construction execution units to dynamically adjust and adaptively control the building decoration construction process, thereby ensuring the stability and controllability of the construction process.

[0126] By adopting the adaptive control method provided by this invention, through the dynamic acquisition and analysis of the state information of construction process units, it is possible to accurately identify various dependencies between construction processes, and to promptly conduct impact assessments and generate control instructions when construction constraints are not met, thereby realizing intelligent and adaptive management of the building decoration construction process, effectively reducing the risk of construction conflicts, and improving the overall coordination, execution efficiency and construction quality of the construction process.

[0127] In some embodiments, the management unit is used to assess the degree of impact by the following steps: based on the target state of the target construction process unit, obtaining the construction progress deviation parameter, construction resource occupation parameter, and process association parameter corresponding to the target construction process unit; determining the impact weight of the target construction process unit on the overall construction progress based on the construction progress deviation parameter; determining the associated impact weight of the target construction process unit on other construction process units based on the construction resource occupation parameter and the process association parameter; and comprehensively assessing the degree of impact of the target construction process unit based on the impact weight.

[0128] Specifically, the management unit obtains multi-dimensional parameter information corresponding to the target construction process unit based on its target status. The target status characterizes the execution status of the target construction process unit in the current construction phase, including but not limited to completed, in progress, or pending status. Based on this, the management unit obtains construction progress deviation parameters, construction resource occupancy parameters, and process-related parameters corresponding to the target construction process unit.

[0129] Among them, the construction schedule deviation parameter is used to characterize the deviation between the actual construction schedule and the planned construction schedule of the target construction process unit, which may include schedule lag, schedule advance, or schedule deviation rate; the construction resource occupation parameter is used to characterize the occupation of human resources, mechanical equipment resources, and material resources of the target construction process unit during construction; the process association parameter is used to characterize the logical association between the target construction process unit and other construction process units, including pre- and post-requirement relationships, parallel relationships, and dependency strength.

[0130] Subsequently, the management unit determines the impact weight of the target construction process unit on the overall construction progress based on the construction progress deviation parameters. Specifically, the management unit can quantitatively analyze the impact on the overall construction progress based on the magnitude and duration of the construction progress deviation parameters and the criticality of the target construction process unit in the construction plan, thereby obtaining the impact weight of the target construction process unit on the overall construction progress. The impact weight is used to reflect the degree to which the abnormal progress of the target construction process unit affects the overall construction progress.

[0131] Furthermore, the management unit determines the weight of the influence of the target construction process unit on other construction process units based on construction resource occupancy parameters and process correlation parameters. Specifically, the management unit can comprehensively analyze the occupancy of key construction resources by the target construction process unit, as well as the process correlation relationship between the target construction process unit and other construction process units. When the target construction process unit occupies more resources and has a strong correlation with other construction process units, its influence weight on other construction process units will be increased accordingly.

[0132] Finally, the management unit comprehensively assesses the impact of the target construction process unit based on its weighted impact on the overall construction progress and its weighted impact on other construction process units. The comprehensive assessment results characterize the overall impact level of the target construction process unit on the overall construction process under the current construction status, providing a basis for subsequent construction scheduling, resource allocation, and risk warning.

[0133] Conversely, the management unit is used to adaptively control the building decoration construction process using the following steps: generating corresponding construction process control instructions based on the degree of impact, thereby enabling adaptive control of the building decoration construction process; dividing the degree of impact of the target construction process unit into at least two degree levels based on the degree of impact obtained from a comprehensive assessment; configuring corresponding construction process control strategies for different degree levels; generating construction process control instructions that match the degree of impact of the target construction process unit; and sending the construction process control instructions to the corresponding construction process unit to perform hierarchical control of the building decoration construction process.

[0134] Specifically, the management unit quantifies the degree of impact on the target construction process unit based on the comprehensive evaluation results, and generates corresponding construction process control instructions accordingly, thereby achieving adaptive control of the building decoration construction process.

[0135] In this embodiment, the management unit first conducts a comprehensive assessment of the construction status of the target construction process unit based on a preset assessment model. The comprehensive assessment may include at least one or more of the following: construction progress deviation, construction quality risk, degree of safety hazard, resource consumption, and degree of environmental impact, and outputs the corresponding degree of impact value.

[0136] After obtaining the degree of impact, the management unit classifies the impact of the target construction process unit into at least two impact levels according to preset impact level classification rules. For example, the impact level can be divided into low impact level, medium impact level, and high impact level, or into normal level and abnormal level. This embodiment does not limit the specific number of levels, as long as it can achieve hierarchical control of the construction process.

[0137] Subsequently, the management unit configures corresponding construction process control strategies for different levels of impact. Specifically, for construction procedures with low impact, conventional construction control strategies can be configured, such as maintaining the original construction plan and only conducting status monitoring; for construction procedures with high impact, enhanced control strategies can be configured, such as adjusting construction parameters, increasing the frequency of quality inspections, limiting the construction pace, triggering safety warnings, or temporarily halting work.

[0138] Based on this, the management unit automatically generates matching construction process control instructions according to the impact level corresponding to the target construction procedure unit. These instructions may include one or more of the following: construction parameter adjustment instructions, resource allocation instructions, construction sequence adjustment instructions, and risk control instructions.

[0139] Finally, the management unit sends the generated construction process control instructions to the execution terminal or control module corresponding to the target construction procedure unit to perform hierarchical control of the building decoration construction process. Through this method, the construction control strategy can be dynamically adjusted according to the actual impact of different construction procedure units, achieving adaptive management of the building decoration construction process, thereby improving construction efficiency, reducing construction risks, and ensuring construction quality and safety.

[0140] It should be noted that the above embodiments are only one of the preferred embodiments of the present invention. Equivalent substitutions or modifications made by those skilled in the art to its structure, steps or parameters without departing from the technical concept of the present invention shall fall within the protection scope of the present invention.

[0141] The present invention also provides a method corresponding to the digital management system for building decoration construction process. Specifically, the method can be applied to the aforementioned digital management system for building decoration construction process.

[0142] See Figure 2 The flowchart shown in this embodiment of the invention provides a digital management method for the construction process of building decoration, including:

[0143] S210 involves hierarchically breaking down the building decoration construction process into construction procedure units with at least two layers of structure, and constructing a corresponding set of procedure parameters for each construction procedure unit.

[0144] S220 collects and synchronizes multi-source construction data corresponding to each construction process unit, and preprocesses the multi-source construction data to obtain construction data for judging the process status.

[0145] S230, based on the preprocessed construction data, generates multiple candidate process states for the same construction process unit, performs state conflict detection on the candidate process states, and evaluates the credibility of each candidate process state based on the process parameter set;

[0146] S240, based on the state conflict detection results and the credibility assessment results, determines the target state of the construction process unit from multiple candidate process states.

[0147] S250 analyzes the process dependencies between multiple construction process units based on their target states, and then performs adaptive control of the building decoration construction process based on the analyzed process dependencies.

[0148] For more details on digital management methods for the construction and decoration process, please refer to the examples mentioned above.

[0149] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0150] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the invention. It should be noted that those skilled in the art can make various modifications, substitutions, and improvements without departing from the concept of the present invention, and these should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of this invention should be determined by the claims.

Claims

1. A digital management system for building decoration construction process, characterized in that, include: A construction unit is used to hierarchically break down the building decoration construction process into construction procedure units with at least two layers of structure, and to construct a corresponding set of procedure parameters for each construction procedure unit. The processing unit is used to collect and synchronize multi-source construction data corresponding to each of the construction process units, and to preprocess the multi-source construction data to obtain construction data for judging the process status. An evaluation unit is used to generate multiple candidate process states for the same construction process unit based on preprocessed construction data, perform state conflict detection on the candidate process states, and evaluate the credibility of each candidate process state based on the process parameter set. The determination unit is used to determine the target state of the construction process unit from multiple candidate process states based on the state conflict detection results and the credibility assessment results; The management unit is used to analyze the process dependencies between multiple construction process units based on their target states, and to adaptively control the building decoration construction process according to the analyzed process dependencies.

2. The digital management system according to claim 1, characterized in that, The construction unit is used to determine the set of process parameters corresponding to each of the construction process units using the following steps: Based on the construction sequence, construction objects, and construction resources of the building decoration construction process, the construction process is initially broken down into multiple atomic construction process units. Based on the temporal dependencies and spatial relationships between the atomic construction process units, the atomic construction process units are aggregated to form a construction process unit hierarchical system with at least two layers. Differentiated process parameter templates are constructed for different levels of construction process units; Based on the process parameter template, a corresponding process parameter set is generated for each construction process unit, and multi-dimensional parameter information for process status determination, status evaluation and process evolution analysis is configured in the process parameter set.

3. The digital management system according to claim 2, characterized in that, The evaluation unit is used to evaluate the credibility of each candidate process status through the following steps: Based on the construction data output by the processing unit, corresponding initial process state sub-results are generated for the same construction process unit from multiple dimensions, including construction progress, construction quality, resource consumption, and the impact of the construction environment. The initial process state sub-results are represented by state vectorization to form multiple process state vectors; Based on the hierarchical relationship of the construction process units, cross-level mapping and association are performed on the process state vectors of different levels; Based on the set of process parameters, process constraints are applied to the associated process state vector to generate a set of candidate process states. Perform state consistency analysis and state conflict detection on the candidate process state set, and perform state correction processing on the candidate process states that have conflicts; Based on the revised set of candidate process states, the reliability index of each candidate process state is calculated, and the process state evaluation result is output.

4. The digital management system according to claim 3, characterized in that, The evaluation unit is used to perform cross-level mapping and association of process state vectors at different levels through the following steps: Based on the hierarchical system of the construction process units, the mapping relationship between construction process units at different levels is determined; Based on the mapping relationship, the process state vector of the lower-level construction process unit is mapped to the corresponding higher-level construction process unit; The mapped process state vectors are aggregated to form associated state vectors of higher-level construction process units. This includes: assigning hierarchical influence weights to the corresponding process state vectors based on the degree of influence of different lower-level construction process units on higher-level construction process units; and performing weighted aggregation on the mapped process state vectors based on the hierarchical influence weights.

5. The digital management system according to claim 3, characterized in that, The evaluation unit is used to output process status evaluation results through the following steps: Obtain the process status evaluation results of the same construction process unit within multiple consecutive evaluation periods; Calculate the degree of state change among the process state evaluation results within the multiple consecutive evaluation cycles; Based on the degree of state change, a stability index for the process state assessment result is determined; Based on the stability index, a corresponding reliability index is generated as the evaluation result of the process status.

6. The digital management system according to claim 1, characterized in that, The determining unit is used to determine the target state of the construction process unit through the following steps: Based on the process status evaluation results output by the evaluation unit, construct the state candidate space of the construction process unit; Based on historical construction data and current process status assessment results, predict the state evolution trend of the construction process unit; The state evolution trend is introduced into the state candidate space to form a state evolution constraint model; Under the state evolution constraint model, construction schedule objectives, construction cost objectives, and construction quality objectives are introduced to construct a multi-objective decision-making model; Based on the multi-objective decision-making model, the state candidate space is solved to determine the target state of the construction process unit.

7. The digital management system according to claim 6, characterized in that, The determining unit is used to determine the target state of the construction process unit through the following steps: The construction schedule target, the construction cost target, and the construction quality target are transformed into quantifiable objective functions. Based on the state evolution constraint model, constraints are imposed on the objective function; Under the constraints, a multi-objective optimization solution is performed on the state candidate space.

8. The digital management system according to claim 1, characterized in that, The management unit adaptively controls the building decoration construction process by performing the following steps: Based on the target states of multiple construction process units, obtain information on the state type, state change time, and state duration of each construction process unit. Based on the state type, the state change time, and the state duration information, analyze whether there is at least one of the following relationships among the construction process units: sequential constraint relationship, conditional dependency relationship, and potential influence relationship; When the analysis reveals the existence of process dependencies, a process dependency description is constructed that includes the dependency type and dependency strength. Based on the process dependency description, the current execution status of each construction process unit is matched and verified with the preset construction constraints. If the matching verification fails, the target construction process unit affected by the process dependency relationship is identified, and the degree of impact of the target construction process unit on the overall construction process is evaluated. Based on the degree of impact, corresponding construction process control instructions are generated to adaptively control the building decoration construction process.

9. The digital management system according to claim 8, characterized in that, The management unit is used to assess the degree of influence by employing the following steps: based on the target state of the target construction process unit, obtaining the construction progress deviation parameters, construction resource occupancy parameters, and process association parameters corresponding to the target construction process unit; determining the influence weight of the target construction process unit on the overall construction progress based on the construction progress deviation parameters; determining the association influence weight of the target construction process unit on other construction process units based on the construction resource occupancy parameters and process association parameters; and comprehensively assessing the degree of influence of the target construction process unit based on the influence weights. The management unit is used to adaptively control the building decoration construction process using the following steps: generating corresponding construction process control instructions based on the degree of influence, thereby adaptively controlling the building decoration construction process; dividing the degree of influence of the target construction process unit into at least two degree levels based on the degree of influence obtained from the comprehensive assessment; configuring corresponding construction process control strategies for different degree levels; generating construction process control instructions that match the degree of influence of the target construction process unit; and sending the construction process control instructions to the corresponding construction process unit to perform hierarchical control of the building decoration construction process.

10. A digital management system for building decoration construction process, characterized in that, include: The construction process of building decoration is broken down into hierarchical units, forming construction procedure units with at least two layers of structure, and a corresponding set of procedure parameters is constructed for each of the construction procedure units. Collect and synchronize multi-source construction data corresponding to each construction process unit, and preprocess the multi-source construction data to obtain construction data for judging the process status. Based on the preprocessed construction data, multiple candidate process states are generated for the same construction process unit, and state conflict detection is performed on the candidate process states, and the credibility of each candidate process state is evaluated based on the process parameter set. Based on the state conflict detection results and the credibility assessment results, the target state of the construction process unit is determined from multiple candidate process states; Based on the target state of multiple construction process units, the process dependencies between construction process units are analyzed, and adaptive control of the building decoration construction process is carried out according to the analyzed process dependencies.

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