A construction project management intelligent system and method

Abstract

The present invention belongs to the field of construction project management technology, and in particular to building curtain wall assembly management technology, and specifically to an intelligent construction project management system and method. A three-dimensional matrix including component identification, material usage, planned on-site arrival time window and material sensitivity label is constructed based on the component arrival plan, and a construction site space model is established at the same time. The three-dimensional matrix is ​​loaded into the model to simulate the occupancy status of the material yard according to the component arrival plan. At the same time, combined with meteorological forecast data within the assembly time window, the component arrival is dynamically optimized by comprehensively considering the yard space overlap and meteorological adaptability factors, thereby realizing the prediction and adjustment of the assembly plan before implementation, effectively reducing the frequency of changes in the actual implementation process, thereby significantly reducing the waste of manpower and material resources, and improving the stability and efficiency of the construction organization.

Description

Technical Field

[0001] The present invention belongs to the technical field of construction project management, in particular to a building curtain wall assembly management technology, and specifically to an intelligent system and method for construction engineering project management. Background Art

[0002] As the requirements for functional enhancement, energy efficiency and aesthetic standards in the construction field continue to rise, curtain wall systems have become the main structural form of modern building facades due to their excellent thermal performance and efficient assembly and construction organization model based on prefabricated components. In the actual project implementation process, since it involves the on-site assembly of various prefabricated components, the scientific and reasonable formulation of component assembly and on-site plan is of great significance for ensuring construction progress, optimizing resource allocation and improving overall construction efficiency.

[0003] However, most current curtain wall assembly and delivery plans are still primarily compiled based on installation drawings and construction schedules. For example, Chinese invention patent publication number CN117436636A proposes a curtain wall installation method that obtains a BIM model of the curtain wall to be installed and separates and numbers the components within the model. Based on the numbered component information, installation drawings are generated that include dimensions, quantity, positioning, and connection methods. Combined with the construction schedule and process requirements, a construction plan is developed that includes installation sequence, material allocation, and personnel arrangements. This improves the accuracy and feasibility of the construction plan and reduces errors and coordination costs during the construction process.

[0004] Although this type of method has improved the standardization and operational feasibility of construction plans to a certain extent, its core logic still has significant limitations: it does not fully consider the synergistic relationship between construction plans and material delivery management. Specifically, in the actual construction process, the assembly of components often depends on the arrival of materials, and a material delivery plan will be constructed based on the construction plan. However, due to the limited space capacity and construction cycle pressure of the construction site, multiple components are often scheduled to arrive at the site within the same time period, which can easily lead to space shortages in the on-site yard, and even problems such as overlapping stacking areas and blocked transportation routes, affecting the smoothness of construction.

[0005] In addition, since most construction sites are open-air environments, some component materials that are sensitive to meteorological conditions are easily affected by factors such as temperature and humidity changes, rainfall, and strong light exposure after long-term exposure, which may cause material performance degradation or construction quality risks.

[0006] In summary, the lack of comprehensive consideration of the above factors has led to the component assembly plan being frequently affected by the uncertainty of material delivery during actual implementation, increasing the frequency of plan adjustments, causing waste of human and material resources, and reducing the overall stability and controllability of the construction organization. Summary of the Invention

[0007] The present invention aims to solve the problem of insufficient coordination between material delivery and construction progress in existing curtain wall component assembly plans, and proposes an intelligent system and method for construction project management. By utilizing material delivery simulation and weather forecasting to optimize the component delivery plan, the precise matching of material delivery and construction process is achieved, resource utilization and construction efficiency are improved, and the project is ensured to be carried out efficiently and orderly.

[0008] The purpose of the present invention can be achieved through the following technical solutions: The first aspect of the present invention provides an intelligent system for construction project management, including: an entry information modeling module: based on the building curtain wall component entry plan, a three-dimensional matrix including component identification, material usage, planned entry time window and material sensitivity label is constructed, and the material sensitivity label includes meteorological sensitivity and stacking sensitivity.

[0009] Dynamic Space Simulation Module: Establishes a construction site spatial model and loads the material usage and stacking sensitivity labels in the three-dimensional matrix according to the component delivery plan to simulate the occupancy status of the material yard area, thereby outputting the yard conflict components.

[0010] Meteorological data collaboration module: Associated with the external meteorological data interface, the predicted meteorological data is mapped to the planned entry time window of each component in the three-dimensional matrix.

[0011] Meteorological adaptability decision module: compares the meteorological sensitivity of materials with the predicted meteorological data of the corresponding time window to mark meteorological risk components.

[0012] Approach plan optimization module: reschedules the component approach plan execution based on yard conflict components and meteorological risk components.

[0013] Abnormal response module: responds to deviations from the actual construction progress to trigger a shift in the site entry time, and responds to weather warnings to provide on-site protection for materials that have arrived but not yet assembled.

[0014] The second aspect of the present invention proposes an intelligent method for construction project management: comprising the following steps: S1: constructing a three-dimensional matrix including component identification, material usage, planned entry time window and material sensitivity labels based on the building curtain wall component entry plan, wherein the material sensitivity labels include meteorological sensitivity and stacking sensitivity.

[0015] S2: Establish a construction site spatial model, load the material usage and stacking sensitivity labels in the three-dimensional matrix according to the component delivery plan, simulate the occupancy status of the material yard area, and output the yard conflict components.

[0016] S3: Associate the external meteorological data interface and map the predicted meteorological data to the planned entry time window of each component in the three-dimensional matrix.

[0017] S4: Compare the meteorological sensitivity of the material with the predicted meteorological data of the corresponding time window to mark the meteorological risk components.

[0018] S5: Reschedule the component arrival plan based on the yard conflict components and meteorological risk components.

[0019] S6: Respond to deviations from the actual construction progress to trigger a shift in the site entry time, and respond to weather warnings to provide on-site protection for materials that have arrived but not yet assembled.

[0020] Combining all the above technical solutions, the positive effects of the present invention are as follows: 1. The present invention establishes a construction site space model and a three-dimensional material matrix, and loads the three-dimensional matrix into the model to simulate the occupancy status of the material yard. At the same time, combined with the meteorological forecast data within the entry time window, the spatial overlap of the yard and the meteorological adaptability factors are comprehensively considered to dynamically optimize the entry of components, thereby realizing the prediction and adjustment of the assembly plan before implementation, effectively reducing the frequency of changes in the actual implementation process, thereby significantly reducing the waste of manpower and material resources, and improving the stability and efficiency of the construction organization.

[0021] 2. The present invention collects construction progress data in real time and automatically triggers a material arrival time adjustment mechanism generated based on the original optimization plan when a deviation in the construction progress is detected. This helps to maintain a dynamic match between material arrival and construction progress, effectively reducing the risk of material backlog or shortage due to progress changes, thereby improving resource utilization efficiency and on-site management coordination.

[0022] 3. The present invention accesses meteorological warning information in real time during the construction process. When the warning is triggered, it combines the meteorological sensitivity tags of the materials to implement targeted on-site protection measures for components that have entered the site but have not yet been assembled. This effectively reduces the impact of the meteorological environment on material properties, improves the risk response capability of the construction site, ensures material quality and construction safety, and thus reduces construction delays and resource waste caused by weather factors. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The present invention is further described with reference to the accompanying drawings. However, the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative effort.

[0024] Figure 1 This is a connection diagram of an intelligent system for construction project management in the present invention.

[0025] Figure 2 This is an operational implementation diagram for rescheduling the component arrival plan based on the yard conflict components in the present invention.

[0026] Figure 3This is a step diagram of an intelligent method for construction project management in the present invention. DETAILED DESCRIPTION

[0027] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0028] Example 1

[0029] The present invention provides an intelligent system for construction project management, comprising an approach information modeling module, a dynamic space simulation module, a meteorological data collaboration module, a meteorological adaptability decision module, an approach plan optimization module and an abnormal response module.

[0030] See also Figure 1 As shown, in the above modules, the approach information modeling module is connected to the dynamic space simulation module and the meteorological data collaboration module respectively, the meteorological data collaboration module is connected to the meteorological adaptability decision module, the dynamic space simulation module and the meteorological adaptability decision module are both connected to the approach plan optimization module, and the approach plan optimization module is connected to the abnormal response module.

[0031] The on-site information modeling module is used to construct a three-dimensional matrix including component identification, material usage, planned on-site time window and material sensitivity labels based on the building curtain wall component on-site plan. The material sensitivity labels include meteorological sensitivity and stacking sensitivity.

[0032] In the preferred embodiment of the above solution, the content of the site information modeling module is as follows: extracting the building curtain wall component site plan, including the component site order and the planned site time window.

[0033] Specifically, the extraction plan of the building curtain wall component delivery can be extracted from the design documents of the building curtain wall.

[0034] The associated material database extracts the material usage and material properties of each component.

[0035] As an example of implementing the above solution, the construction of a building curtain wall primarily includes components such as panel units, keel frames, connectors, and sealing and insulation components. Each component type corresponds to a specific material quantity and material properties, including specifications, models, and physical properties. This data collectively constitutes a material database, providing fundamental data support for subsequent assembly sequence optimization and on-site management.

[0036] Based on the material properties of each component, the material's sensitive meteorological factors and the applicable scope of the sensitive meteorological factors are extracted from the material instructions as the material's meteorological sensitivity label.

[0037] It's important to understand that the sensitive meteorological factors mentioned above refer to external environmental conditions that affect the performance of building materials and construction quality, primarily including temperature, humidity, wind speed, and light intensity. These factors influence the materials through their physical and chemical properties, determined by their composition and microstructure. For example, glass is highly sensitive to temperature fluctuations, and drastic temperature swings can cause thermal stress cracking. Aluminum alloys are susceptible to oxidation reactions in high humidity, which can reduce their durability and structural performance.

[0038] When certain weather conditions exceed a material's tolerance, they can cause degradation of its physical or chemical properties, impacting construction quality and structural safety. Because construction sites are often open-air, materials required for component assembly must be brought in and stacked on-site, inevitably exposing them to natural atmospheric conditions. For weather-sensitive materials, prolonged exposure to adverse weather conditions can lead to performance degradation or even damage. Therefore, the weather sensitivity of materials must be considered when planning component delivery.

[0039] The on-site stacking records of similar materials corresponding to each component are extracted from the company's historical construction database of similar projects, including the stacking space status, stacking density and stacking maintenance time. The stacking space status includes the number of stacking layers and the individual spacing between adjacent materials.

[0040] It should be pointed out that the stacking density mentioned above refers to the number of materials stacked per unit area, which is used to measure the efficiency of space utilization on the construction site. The stacking maintenance time refers to the maintenance operation time of manpower and mechanical equipment invested in ensuring the safety and integrity of the material stacking. Specifically, it is the time required for maintenance operations such as reinforcement, adjustment, protection and repair when the material stacking is unstable or compressed, which reflects the rationality of the material stacking.

[0041] It's important to understand that curtain wall construction is highly modular and repetitive, resulting in similarities across projects, including construction processes, component types, and material placement. Therefore, companies can build a database of historical construction projects by recording the entire process of similar projects, providing experience and data for new project planning.

[0042] The material on-site stacking records used in the present invention are derived from the database and are used to reflect the actual status of material stacking on the construction site during the assembly of the building curtain wall.

[0043] The stacking space status can be obtained by deploying image acquisition equipment in the material stacking area to obtain on-site image information, from which spatial distribution characteristics such as the number of stacking layers of materials and the distance between adjacent components can be identified.

[0044] The stacking density can be based on image recognition technology to extract the overall coverage area of ​​the material, and combined with the number of materials obtained by automatic identification or manual statistics, the proportion of space occupied by unit materials can be further calculated to obtain a quantitative representation.

[0045] The stacking maintenance time is recorded through the construction log system or the site management system, including the time for maintenance operations such as reinforcement, adjustment, protection and repair carried out for abnormal situations such as instability of the stacking structure, partial collapse, material displacement, and pressure loss. It is usually registered and archived by on-site management personnel or automated monitoring systems.

[0046] It should be added that during the construction of building curtain walls, due to the limited space resources on the construction site, incoming materials are usually stored in stacks to effectively reduce the floor space. In this context, stacking density is used as an indicator to measure the degree of material accumulation per unit area, but the smaller the better. Different materials have specific requirements for stacking height due to their physical properties and geometric shapes. When the number of stacked layers is too high or the spacing between adjacent materials is insufficient, it is easy to cause local stress concentration, thereby causing risks such as structural instability, collapse, and even material pressure loss. In order to ensure stacking safety and material integrity, it is often necessary to invest corresponding manpower and machinery to carry out maintenance operations such as reinforcement, adjustment, or protection. Therefore, the stacking maintenance time can be used as an important indicator to evaluate the rationality of the current stacking method. The longer the value, the more likely it is that the stacking strategy is insufficient in terms of safety and stability, and needs to be optimized and adjusted in the subsequent construction organization.

[0047] After normalizing the stacking density and stacking maintenance time of the same type of materials for each component in each historical record, the ratio of the normalized stacking density to the normalized stacking maintenance time is defined as the stacking effectiveness.

[0048] It is important to understand that the stacking density and stacking maintenance time are parameters with different physical dimensions. By normalizing them, the dimensional differences can be effectively eliminated, providing a unified numerical basis and comparability support for the subsequent evaluation of stacking effectiveness constructed by integrating these two dimensions. In addition, the stacking density and maintenance time of the same component in different historical projects often have large numerical differences due to factors such as the construction environment and management methods. Through normalization, these data can be mapped to the same numerical range to achieve horizontal comparison and analysis on a unified scale, thereby improving the standardization of the data and the consistency and reliability of the evaluation results.

[0049] For example, the normalization process is: ,in represents the normalized data, Represents the original data, 、 Respectively represent the maximum and minimum values ​​of component materials in all historical records.

[0050] What needs to be understood again is that by defining the stacking effect as the ratio of the normalized stacking density to the normalized stacking maintenance time, it reflects the stacking efficiency that can be achieved under unit maintenance cost. The higher the stacking effect of a historical record, the more optimal the material stacking method under this historical record.

[0051] Traverse all historical records of similar materials for each component to identify the record entry with the greatest stacking effect, and use the stacking space status in this record as the representation of material stacking sensitivity.

[0052] According to the component delivery plan, a three-dimensional data matrix is ​​output with the component number as the index, and the associated material code, quantity and planned delivery time window.

[0053] For example, the three-dimensional data matrix is ​​represented as , among the above 、 Respectively represent temperature and relative humidity, characterizing meteorological sensitivity, 、 They represent the number of stacking layers and the distance between adjacent materials, respectively, and characterize the stacking sensitivity.

[0054] The three-dimensional data matrix formed by the above modeling not only supports spatial simulation and conflict warning of the construction site, but also provides a solid data foundation for subsequent assembly sequence optimization and abnormal response mechanism.

[0055] The dynamic space simulation module is used to establish a construction site space model and load the material usage and stacking sensitivity labels in the three-dimensional matrix according to the component delivery plan to simulate the occupancy status of the material yard area, thereby outputting the yard conflict components.

[0056] In the specific implementation of the above modules, a construction site space model is established and a material yard simulation is performed as follows: Based on the actual layout drawings of the construction site, a construction site space model including geometric structure and functional zoning is established using digital twin technology.

[0057] Applied to the above implementation, the functional zones include material yard area, transportation area, equipment parking area, warehouse area, etc.

[0058] Identify the yard area boundaries in the model and allocate the corresponding nearby yard area based on the installation station location of each component.

[0059] According to the component delivery plan, the material usage of the corresponding components in the three-dimensional matrix is ​​loaded in sequence. The materials are stacked and simulated starting from the nearest yard area according to the stacking sensitivity labels to generate the occupancy status of the material yard area.

[0060] It's important to understand that the aforementioned material yard occupancy simulation focuses solely on the material yard area for modeling and simulation analysis, without extending it to other, non-relevant functional areas. This helps to improve the targeted nature of the simulation process, avoiding redundant modeling of irrelevant spatial resources and preventing excessive simulation scope from interfering with the organization and scheduling of key work processes on the construction site. Furthermore, the material stacking simulation expands outward from the nearest yard area, aligning material storage locations as close as possible to the actual component installation locations. This effectively shortens material transportation routes and improves construction site logistics efficiency.

[0061] In a further specific implementation of the above module, the output of the yard conflict components is performed as follows: the entry time windows of all components are traversed, and component combinations with time intersections are identified to form an intersection time window set.

[0062] The above-mentioned overlapping time windows reflect the multiple components that need to be brought into the site and stacked at the same time within the same time period.

[0063] For each group of components within the crossing time window, the corresponding material yard area occupancy status is extracted from the construction site spatial model.

[0064] It should be pointed out that the above focus on the occupancy status of the material yard area within the crossing time window is because a variety of component materials are brought into the site simultaneously within the crossing time window, and the spatial resources of the material yard area at the construction site are usually strictly limited. In this case, it is very easy to cause problems such as spatial overlap and stacking conflicts. Therefore, focusing on this type of crossing time window to conduct material yard occupancy analysis will help to accurately identify the spatial resource competition situation during high-risk periods.

[0065] The spatial overlap of material yard areas under the intersection time window is counted. When the spatial overlap of a certain intersection time window exceeds the preset threshold, it is determined that there is a yard conflict for the components under the intersection time window.

[0066] Specifically, the spatial overlap of the material storage yard areas can be obtained by calculating the ratio of the intersection area to the union area of ​​the material storage yard areas on a two-dimensional plane.

[0067] The preset threshold of the above-mentioned spatial overlap can be set according to the relevant provisions of the stacking management specifications. The specifications clearly define the safe control range of yard space occupancy and provide a safe boundary of spatial overlap for spatial conflict determination.

[0068] The meteorological data collaboration module is used to associate with the external meteorological data interface and map the predicted meteorological data to the planned entry time window of each component in the three-dimensional matrix.

[0069] Optionally, the specific implementation process of the above module is as follows: the approach time window of each component is discretized and divided according to the set time resolution to generate a number of time node sequences.

[0070] In one example implementation, the time resolution can be set to 30 minutes, subdividing the timeline into half-hour units. A smaller time resolution yields a greater number of time nodes, generating more detailed time series data. This high-resolution time node sequence helps provide sufficient and continuous data support for the subsequent generation of environmental prediction curves related to material meteorological sensitivity.

[0071] Associate with the external meteorological data interface, obtain the corresponding predicted meteorological data from the meteorological data interface at each time node, the specific meteorological data includes but is not limited to temperature, humidity, light intensity, etc., and generate a predicted meteorological sequence according to the timestamp.

[0072] The meteorological adaptability decision module is used to compare the meteorological sensitivity of materials with the predicted meteorological data of the corresponding planned time window to mark meteorological risk components.

[0073] Preferably, the above module is specifically implemented as follows: based on the sensitive meteorological factors in the meteorological sensitivity tags carried by each component material, a sensitive meteorological sequence is extracted from the predicted meteorological sequence output by the meteorological data collaboration module.

[0074] With time as the horizontal axis and the weather forecast value as the vertical axis, draw a weather forecast change curve for sensitive weather factors within the planned entry time window of the component.

[0075] The above-mentioned predicted change curve is compared point by point with the applicable range of sensitive meteorological factors in the material meteorological sensitivity label, and the sections beyond the applicable range are identified on the curve and marked as sensitive curve sections to represent high-risk time periods that may affect the quality of material stacking.

[0076] The ratio of the total duration of the statistically sensitive curve segment to the entire planned approach time window is taken as the meteorological sensitivity ratio, which reflects the degree of continuous exposure to adverse meteorological conditions within the planned approach time window.

[0077] The time difference between the start time of the sensitive curve segment and the start time of the planned approach time window is obtained, and the time difference is further converted into an inverse proportional value relative to the total duration of the planned approach time window as the meteorological sensitivity lead, which is used to quantify the possibility of high-risk meteorological conditions occurring in the early stage of assembly operations.

[0078] Applied to the above expression of meteorological sensitivity lead, the calculation expression of meteorological sensitivity lead is: ,in Indicates the meteorological sensitivity lead, Indicates the time difference between the start time of the sensitive curve segment and the start time of the planned approach time window, Indicates the total duration of the planned entry time window.

[0079] It can be understood that the smaller the time difference between the start time of the sensitive curve segment and the start time of the planned approach time window, that is, the closer the sensitive meteorological conditions are to the start time of the assembly operation, the greater the meteorological sensitivity lead.

[0080] The meteorological sensitivity ratio and meteorological sensitivity lead degree are weighted and fused to generate the meteorological sensitivity risk index of the component in the planned entry time window, and compared with the configured meteorological risk threshold. If the meteorological sensitivity risk index of a component reaches the meteorological risk threshold, it is determined that it has a high meteorological adaptability risk in the current entry time window, and the component is marked as a meteorological risk component.

[0081] It should be understood that the above-mentioned meteorological sensitivity ratio and meteorological sensitivity lead are two key indicators for measuring the degree of meteorological risk faced by components in the planned entry time window, reflecting the possibility and urgency of materials being affected by the environment from different dimensions.

[0082] The meteorological sensitivity ratio quantifies the overall probability of component materials being exposed to high-risk meteorological environments.

[0083] The weather sensitivity lead time reflects whether adverse weather conditions are concentrated in the early stages of assembly operations. A higher value indicates that sensitive weather events are closer to the start of assembly, meaning that materials face higher environmental risks as soon as they enter the stacking or installation phase. A high weather sensitivity lead time indicates that adverse weather conditions may occur even in the early stages of material delivery. This not only accelerates material performance degradation, but also often prevents the implementation of protective measures at the optimal time, further exacerbating construction uncertainty and leading to additional resource waste and project delays.

[0084] In particular, weighted fusion uses a linear weighting method, in which the weights reflect different levels of attention to duration or timing of occurrence. The weights can be set based on industry experience or obtained through historical data. The historical data setting is specifically implemented as follows: by collecting the stacking quality data of the same type of component materials in the company's historical similar projects due to meteorologically sensitive duration and meteorologically sensitive timing during the stacking process, regression analysis or logistic regression analysis methods are used to quantify the degree of influence of the two types of factors on abnormal material stacking quality events, that is, their contribution. Finally, after normalization, the contribution is converted into a weight and its sum is 1.

[0085] The setting of the above-mentioned meteorological risk threshold can be based on the data of material stacking quality differences caused by adverse meteorological conditions in the company's historical similar projects for the same type of components, and the corresponding meteorological sensitivity risk index distribution can be constructed. On this basis, statistical methods such as selecting the 85th percentile in the distribution as the threshold benchmark can be used to define the boundary between high risk and general risk.

[0086] The entry plan optimization module is used to reschedule the component entry plan based on the yard conflict components and the weather risk components.

[0087] Specifically, the component entry plan is rescheduled based on the yard conflict components and meteorological risk components as follows: the curtain wall assembly process logic diagram is analyzed, and the synchronous assembly dependency relationship between components is extracted. The synchronous assembly dependency relationship is the combination of components that need to complete the assembly operation at the same time during the assembly process, which is used for rationality judgment in subsequent yard conflict processing.

[0088] See also Figure 2 As shown, for component combinations with yard conflicts, it is further determined whether they meet the extracted synchronous assembly dependency relationship. If they do not meet the synchronous assembly requirements, a time window stagger operation is performed on this group of components to ensure that their entry times do not overlap. If they meet the synchronous assembly requirements and the synchronous assembly relationship, transit stacking coordination is performed.

[0089] It should be added that when the components that arrive simultaneously in the site cannot coexist in the original yard area, temporary transit stacking areas should be set up through transit stacking coordination and combined with the actual layout of the construction site to store some components in the short term and relieve the pressure on the main yard.

[0090] It should be noted that when deciding to perform time window staggering operations on components that do not meet the requirements of synchronous assembly, it is necessary to ensure that the new time window arrangement complies with the established construction process and logical sequence to prevent process inversion or technical connection problems; when the component combination meets the requirements of synchronous assembly and plans to exchange the entry time window with other non-conflicting component groups, it is necessary to search for replaceable time windows while ensuring the process logic constraints, and verify whether there are new yard conflicts or meteorological risks under the new window to ensure that the adjusted sequence has engineering feasibility.

[0091] The meteorological adaptability performance of meteorological risk components after their entry time is moved forward or backward to adjacent time windows is predicted respectively, and their meteorological sensitivity risk index in the forward window and the backward window is calculated. The time window where the meteorological sensitivity risk index is lower than the preset meteorological risk threshold is used as the alternative entry time window.

[0092] Analyze the logic diagram of the curtain wall assembly process and extract the front-to-back assembly dependency relationship between components. The front-to-back assembly dependency relationship means that a component must be assembled only after its predecessor component is completed. Determine whether there are components with front-to-back dependencies in the alternative time window where the meteorological risk component is to be moved in. If there are dependent components, continue to expand the search to the preceding or following time window of the alternative window. If there are no dependent components, update the component entry time window in the construction site space model, and re-simulate the material yard occupancy status to detect whether there is a yard resource conflict under the new window. If no yard conflict is found in the new window and the meteorological adaptability requirements are met, it will be used as the adjusted entry time window for the meteorological risk component.

[0093] Repeat the above process and continuously optimize the assembly sequence until all yard conflict and meteorological risk components are reasonably arranged, and finally output the re-sequenced component arrival plan.

[0094] It should be emphasized that the above-mentioned optimization process of the component delivery plan must be carried out within the constraints of the established construction period. The optimization goal is to achieve improved resource utilization efficiency and risk control level while meeting the overall progress requirements.

[0095] The abnormal response module is used to trigger the shift of the time window of the on-site list in response to the actual construction progress deviation, and to perform on-site protection of the materials that have been brought in but not assembled in response to the weather warning.

[0096] As a feasibility implementation of the above modules, the actual assembly completion time window of each component is obtained in real time through on-site data during the actual assembly construction.

[0097] The actual assembly completion time window of each component is compared with the planned assembly time window of the corresponding component in the component assembly plan to calculate the time offset. When the time offset exceeds the set ratio of the assembly window length, it is determined to be a progress deviation event. At this time, the entry time in the component entry plan after time rescheduling is triggered, and the shift can be forward or backward. The forward shift is a response to the advancement of the progress, and the backward shift is a response to the delay of the progress. All subsequent material entry time windows are shifted equidistantly according to the time offset, so as to ensure that the material supply rhythm is synchronized with the actual construction progress, avoiding resource waste or shutdown risks caused by premature or delayed arrival of materials.

[0098] The above ratio can be set based on relevant construction management standards or the company's internal schedule control procedures. For example, if a construction company stipulates that the maximum tolerance for schedule deviation is 20% of the planned window length, the ratio would be set at 20%.

[0099] Real-time access to weather warning signals. When a weather warning is triggered, the system scans the material yard area that has been brought in but not installed, and then activates on-site protection instructions based on the weather sensitivity tags of the materials that have been brought in but not installed and the material yard area where they are located.

[0100] The access to the above-mentioned meteorological warnings is through the meteorological warning information released by the external meteorological service platform, such as strong wind warnings, high temperature warnings, heavy rain warnings, etc.

[0101] When a weather warning is triggered, the weather sensitivity labels of the materials that have been brought into the site but not installed are used to determine whether they are sensitive to the weather conditions of the current warning. For example, when a rainstorm warning is triggered, the weather sensitivity label of the materials that have been brought into the site but not installed is humidity, then the material is sensitive to the weather conditions of the warning. If it is sensitive, targeted on-site protection will be carried out, such as covering humidity-sensitive materials with rainproof tarpaulins, adding supports and cushioning pads to wind-sensitive materials to prevent vibration, and adding sunshade facilities to temperature-sensitive materials.

[0102] In particular, when the protection instruction fails to execute, the emergency transfer of materials is triggered, such as transferring them to a temporary stacking area, closed warehouse or safe haven area with corresponding protection capabilities, so as to minimize the risk of material damage.

[0103] Example 2

[0104] See also Figure 3 As shown, the present invention proposes an intelligent method for construction project management, comprising the following steps: S1: constructing a three-dimensional matrix including component identification, material usage, planned on-site time window and material sensitivity labels based on the building curtain wall component on-site plan, wherein the material sensitivity labels include meteorological sensitivity and stacking sensitivity.

[0105] S2: Establish a construction site spatial model, load the material usage and stacking sensitivity labels in the three-dimensional matrix according to the component delivery plan, simulate the occupancy status of the material yard area, and output the yard conflict components.

[0106] S3: Associate the external meteorological data interface and map the predicted meteorological data to the planned entry time window of each component in the three-dimensional matrix.

[0107] S4: Compare the meteorological sensitivity of the material with the predicted meteorological data of the corresponding time window to mark the meteorological risk components.

[0108] S5: Reschedule the component arrival plan based on the yard conflict components and meteorological risk components.

[0109] S6: Respond to deviations from the actual construction progress to trigger a shift in the site entry time, and respond to weather warnings to provide on-site protection for materials that have arrived but not yet assembled.

[0110] The parameters involved in the above formulas are all dimensionless and calculated using their numerical values. The preset parameters in the formulas are set by those skilled in the art according to actual conditions.

[0111] The above embodiments may be implemented in whole or in part through software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product.

[0112] Those skilled in the art will appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0113] In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0114] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

[0115] Finally, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. An intelligent system for construction project management, characterized in that: include: On-site information modeling module: Based on the building curtain wall component arrival plan, a three-dimensional matrix is ​​constructed, including component identification, material usage, planned arrival time window, and material sensitivity labels, including weather sensitivity and stacking sensitivity; Dynamic Space Simulation Module: This module establishes a construction site spatial model and loads the material usage and stacking sensitivity labels in the three-dimensional matrix according to the component delivery plan to simulate the occupancy status of the material yard area, thereby outputting the yard conflict components. Meteorological data collaboration module: links to external meteorological data interfaces and maps predicted meteorological data to the planned arrival time windows of each component in the three-dimensional matrix; Meteorological adaptability decision module: compares the meteorological sensitivity of materials with the predicted meteorological data of the corresponding time window to mark meteorological risk components; On-site plan optimization module: reschedules the component on-site plan based on the yard conflict components and weather risk components; Abnormal response module: responds to deviations from the actual construction progress, triggers shifts in the arrival time, and responds to weather warnings to provide on-site protection for materials that have arrived but not yet assembled; The implementation process of rescheduling the component arrival plan is as follows: Analyze the curtain wall assembly process logic diagram and extract the synchronous assembly dependency between components; For component combinations with yard conflicts, determine whether they meet the synchronous assembly dependency relationship. If not, stagger the time windows for the group of components to enter the yard. If they meet the synchronous assembly relationship, coordinate the transfer stacking. For each meteorological risk component, the meteorological adaptability performance after its entry time is moved forward or backward to the adjacent time window is predicted, and its meteorological sensitivity risk index in the forward and backward windows is calculated. The time window where the meteorological sensitivity risk index is lower than the preset meteorological risk threshold is used as the alternative entry time window; Analyze the curtain wall assembly process logic diagram, extract the front-to-back assembly dependency relationship between components, and determine whether there are components with front-to-back dependency relationships with the meteorological risk component within the alternative time window to be moved in; If there are dependent components, the search is continued to expand to the time windows preceding or following the candidate window. If there are no dependent components, the component entry time window is updated in the construction site spatial model, and the material yard occupancy status is re-simulated to detect whether there are yard resource conflicts under the new window. If no yard conflicts are found under the new window and the weather adaptability requirements are met, it is used as the adjusted entry time window for the weather risk component. The above process is repeated until all yard conflict and weather risk components are arranged, and finally a rescheduled component arrival plan is output.

2. The intelligent construction project management system according to claim 1, characterized in that: The specific implementation content of the approach information modeling module is as follows: Extract the building curtain wall component delivery plan, including the component delivery sequence and planned delivery time window; Associate the material database to extract the material usage and material properties of each component; Based on the material properties of the component, the sensitive meteorological factors of the material and the applicable scope of the sensitive meteorological factors are extracted from the material instructions as the material meteorological sensitivity label; Extract the on-site stacking records of similar materials for each component from the company's historical construction database of similar projects, including the stacking space status, stacking density, and stacking maintenance time. The stacking space status includes the number of stacking layers and the distance between adjacent materials. After normalizing the stacking density and stacking maintenance time of the same type of materials for each component in each historical record, the ratio of the normalized stacking density to the normalized stacking maintenance time is defined as the stacking effect force; Traverse all historical records of the same type of materials for each component to identify the record entry with the greatest stacking effect, and use the stacking space status in this record as the representation of the material stacking sensitivity; According to the component delivery plan, a three-dimensional data matrix is ​​output with the component number as the index, and the associated material code, quantity and planned delivery time window.

3. The intelligent construction project management system according to claim 1, wherein: The occupancy status of the simulated material yard area is implemented as follows: Based on the actual layout of the construction site, digital twin technology is used to establish a construction site spatial model that includes geometric structure and functional zoning; Identify the yard area boundaries in the model and allocate the corresponding nearest yard area based on the installation station location of each component; According to the component delivery plan, the material usage of the corresponding components in the three-dimensional matrix is ​​loaded in sequence. The materials are stacked and simulated starting from the nearest yard area according to the stacking sensitivity labels to generate the occupancy status of the material yard area.

4. The intelligent construction project management system according to claim 1, wherein: The output yard conflict component operates as follows: Traverse the planned arrival time windows of all components and identify component combinations with time intersections to form a cross-time window set; For each group of components within the cross-time window, the corresponding material yard area occupancy status is extracted from the construction site spatial model; The spatial overlap of material yard areas under the intersection time window is counted. When the spatial overlap of a certain intersection time window exceeds the preset threshold, it is determined that there is a yard conflict for the components under the intersection time window.

5. The intelligent construction project management system according to claim 3, characterized in that: The implementation process of the meteorological data collaboration module is as follows: Discretize and divide the planned arrival time window of each component according to the set time resolution to generate several time nodes; Associate the external meteorological data interface, obtain the corresponding forecast meteorological data from the meteorological data interface at each time node, and generate a forecast meteorological sequence according to the timestamp.

6. The intelligent construction project management system according to claim 5, characterized in that: The specific implementation of the weather adaptability decision module is as follows: Extract sensitive meteorological sequences from the predicted meteorological sequences output by the meteorological data collaboration module based on the sensitive meteorological factors in the meteorological sensitivity labels carried by each component material; With time as the horizontal axis and weather forecast value as the vertical axis, draw a curve showing the component's sensitivity to weather forecast changes within the planned site arrival time window. Compare the predicted change curve with the applicable range of the sensitive meteorological factors in the material meteorological sensitivity label point by point, identify the sections on the curve that exceed the applicable range, and mark them as sensitive curve sections; The ratio of the total duration of the sensitive curve segment to the planned approach time window is calculated as the meteorological sensitivity ratio; Obtain the time difference between the start time of the sensitive curve segment and the start time of the planned approach time window, and further convert the time difference into an inverse proportional value relative to the total duration of the planned approach time window as the meteorological sensitivity lead; The meteorological sensitivity risk index of the component in the planned entry time window is obtained by weighted fusion of the meteorological sensitivity ratio and the meteorological sensitivity lead degree. Components whose meteorological sensitivity risk index reaches the configured meteorological risk threshold are marked as meteorological risk components.

7. The intelligent construction project management system according to claim 1, characterized in that: The specific implementation content of the abnormal response module is as follows: During the actual assembly construction, the actual assembly completion time window of each component is obtained in real time through on-site data; Compare the actual assembly completion time window of each component with the planned assembly time window of the corresponding component in the component assembly plan to calculate the time offset. When the time offset exceeds the set ratio of the assembly window length, it is determined to be a progress deviation event. At this time, the arrival time of the component arrival plan after time rescheduling is triggered to shift, and the arrival time of all subsequent components is shifted equidistantly according to the time offset. Real-time access to weather warning signals. When a weather warning is triggered, the area of ​​the material yard that has entered but not been installed is scanned, and then on-site protection instructions are activated based on the weather sensitivity tags of the materials that have entered but not been installed and the area of ​​the material yard where they are located.

8. An intelligent method for construction project management, characterized by: The steps include: S1: Based on the building curtain wall component delivery plan, a three-dimensional matrix is ​​constructed, which includes component identification, material usage, planned delivery time window, and material sensitivity labels. The material sensitivity labels include weather sensitivity and stacking sensitivity. S2: Establish a construction site spatial model, load the material usage and stacking sensitivity labels in the three-dimensional matrix according to the component delivery plan, simulate the occupancy status of the material yard area, and output the yard conflict components; S3: Associated with the external meteorological data interface to map the forecasted meteorological data to the planned arrival time window of each component in the three-dimensional matrix; S4: Compare the meteorological sensitivity of the material with the predicted meteorological data of the corresponding time window to mark the meteorological risk component; S5: Reschedule the component arrival plan based on the yard conflict components and weather risk components; S6: Respond to deviations from the actual construction progress to trigger a shift in the site entry time, and respond to weather warnings to provide on-site protection for materials that have arrived but not yet assembled.

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