Building design progress data management method and system based on edge computing

Abstract

The invention discloses a building design progress data management method and system based on edge computing, and relates to the technical field of electronic digital data processing.The building design progress data management method comprises the steps that firstly, building design planning data is analyzed, and progress comparison data of building design is obtained; then, detailed analysis and calculation are carried out on the building design progress data to obtain comprehensive representation data of the building progress, early warning prompt is carried out based on the progress comparison data of the building design, and a large amount of field data can be processed and transmitted in real time through edge computing equipment, so that the efficiency and accuracy of building design progress management are improved; according to the method, resource allocation is effectively optimized, delay of the construction period is reduced, meanwhile, the quality of the project design progress is ensured through intelligent analysis and adjustment of progress data, and scientific and real-time data support is provided for the project design progress.

Description

Technical Field

[0001] The present invention relates to the technical field of electronic digital data processing, and specifically to an architectural design progress data management method and system based on edge computing. Background Art

[0002] Architectural design progress data management is a vital part of modern construction project management. With the continuous increase in the scale and complexity of construction projects, traditional progress management methods have been unable to meet the requirements of efficient, accurate and real-time monitoring. Any delay or adjustment in the design progress will have a significant impact on subsequent construction and the overall project cycle.

[0003] The prior art, such as announcement number CN111104473B, is a visualization information management system, method and server. The visualization information management system includes a background management module, a GIS platform management module and a visualization management module. The background management module is used to receive and store engineering design model layers and engineering real scene model layers; the GIS platform management module is used to superimpose the engineering design model layers and the engineering real scene model layers with pre-stored GIS geographic data, respectively, to obtain engineering design display diagrams and engineering real scene display diagrams; the visualization management module is used to calculate the overlap rate of the engineering design display diagram and the engineering real scene display diagram, obtain engineering progress data, and visualize the engineering progress data.

[0004] The prior art, such as announcement number CN113094800B, is a method and system for supervising project quality in municipal engineering supervision, the method comprising acquiring data; building a project construction model; marking the project construction model and generating a detailed design model of a construction drawing; decomposing the municipal engineering construction content according to the schedule, listing the construction content corresponding to the schedule respectively, and determining the logical relationship between each schedule based on the construction plan, generating a preliminary construction schedule, and then associating the detailed design model of the construction drawing and the preliminary construction schedule to generate a project quality supervision model, dynamically simulating the entire process of municipal engineering construction and quality supervision; based on the project quality supervision model, real-time monitoring of project quality data, and alarming when the project quality data does not meet the preset conditions.

[0005] Based on the above solution, it is found that there are still limitations in the management of architectural design progress data. For example, progress delays in the architectural design process are not identified in a timely manner, and quality control issues are ignored during rapid construction progress. As a result, construction project managers are unable to detect and correct progress deviations and quality problems in a timely manner, resulting in the possibility that architectural design projects may be delayed due to progress deviations or quality problems. Summary of the invention

[0006] In view of the shortcomings of the prior art, the present invention provides a building design progress data management method and system based on edge computing, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: an architectural design progress data management method based on edge computing, comprising obtaining architectural design planning data, and analyzing the architectural design planning data to obtain architectural design progress comparison data.

[0008] The cloud server receives the building design progress data uploaded by the edge computing device, analyzes the building design progress data, and obtains comprehensive representation data of the building progress.

[0009] Extract comprehensive characterization data of construction progress, provide early warning reminders of the construction design progress process based on the progress comparison data of the construction design, and simultaneously intelligently adjust the quality inspection frequency of the construction design process.

[0010] Furthermore, the architectural design planning data is analyzed to obtain the progress comparison data of the architectural design. The specific process is: extracting the architectural design planning data including the planned construction period of each stage, the planned area of ​​the architectural design of each stage, the reference consumption of various types of building materials in each historical stage, and the cumulative reference electricity consumption in each historical stage, and obtaining the progress reference comparison value of each stage after processing, and using the progress reference comparison value of each stage as the progress comparison data of the architectural design.

[0011] Furthermore, the construction design progress data is analyzed, and the specific analysis process is: monitoring the consumption data of various types of building materials in each stage, wherein the consumption data of various types of building materials include the consumption of various types of building materials and the cumulative electricity consumption in each stage, and extracting the reference consumption of various types of building materials in each historical stage and the cumulative reference electricity consumption in each historical stage, and obtaining the first representation value of building resource consumption in each stage after processing.

[0012] The actual start time and the actual end time of each stage in the architectural design process are extracted in each stage, and the difference processing is performed to obtain the actual construction period of each stage in the architectural design process.

[0013] The actual construction area, cumulative electricity consumption and construction water consumption of the architectural design are counted in each stage, and the actual construction period of each stage in the architectural design process is extracted. After processing, the second representation value of the architectural design progress in each stage is obtained.

[0014] Furthermore, the comprehensive characterization data of the construction progress is obtained by extracting the first characterization value of the construction resource consumption in each stage and the second characterization value of the construction design progress in each stage, integrating them to obtain the comprehensive characterization value of the construction progress in each stage, and using the comprehensive characterization value of the construction progress in each stage as the comprehensive characterization data of the construction progress.

[0015] Furthermore, the comprehensive characterization value of the construction progress at each stage is a numerical result of analyzing the construction progress data at each stage, and is used to quantitatively evaluate the construction progress at each stage.

[0016] Furthermore, the comprehensive characterization data of the construction progress is extracted, and based on the progress comparison data of the building design, an early warning prompt is given to the progress process of the building design. The specific process is: according to the progress reference comparison value of each stage, it is compared with the comprehensive characterization value of the building progress of each stage. If the comprehensive characterization value of the building progress of a certain stage is higher than the progress reference comparison value of the stage, then the stage is marked as a faster progress stage, thereby traversing to obtain the faster progress stages; if the comprehensive characterization value of the building progress of a certain stage is lower than or equal to the progress reference comparison value of the stage, then the stage is marked as a slow progress stage, thereby traversing to obtain the slow progress stages, and each slow progress stage is warned through the PC.

[0017] Furthermore, the synchronization intelligently adjusts the quality inspection frequency of the building design process. The specific analysis process is: at each stage with faster progress, the number of quality defects in the construction project, the time for rectification of project quality defects and the total failure rate of construction equipment are counted, and the building quality characterization value of each stage with faster progress is obtained after processing.

[0018] The building quality characterization value of each faster progress stage is matched with the quality inspection supplement frequency corresponding to each building quality characterization value interval preset in the data warehouse to obtain the quality inspection supplement frequency of each faster progress stage.

[0019] The quality inspection supplement frequency of a faster progress stage is accumulated with the quality inspection frequency of this stage preset in the data warehouse to obtain the dynamic adjustment execution quality inspection frequency, thereby traversing to obtain the dynamic adjustment execution quality inspection frequency of each faster progress stage, and based on the dynamic adjustment execution quality inspection frequency of each faster progress stage, quality inspection prompts are given to each faster progress stage.

[0020] Furthermore, the first characterization value of building resource consumption, the specific analysis conditions are:

[0021]

[0022] In the formula, Q i represents the first representative value of building resource consumption in the i-th stage, C i→jrepresents the consumption of the jth type of building materials in the i-th stage, Y i represents the cumulative power consumption in the i-th stage, ΔC i→j represents the reference consumption of the jth type of building materials in the i-th stage of history, ΔY i represents the cumulative reference electricity consumption of the i-th historical stage, α1 represents the correction factor corresponding to the set consumption of building materials, α2 represents the correction factor corresponding to the set power consumption, i is the number of each stage, i = 1, 2, 3, ..., n, n is the total number of stages, j is the type of each building material, j = 1, 2, 3, ..., m, m is the total number of building material types.

[0023] Furthermore, the comprehensive characterization value of the construction progress in each stage is specifically analyzed under the following conditions:

[0024] ω i =ln[exp(Q i *β1+1)+R i *β2+1];

[0025] In the formula, ω i represents the comprehensive characterization value of the construction progress in the i-th phase, Q i represents the first representative value of building resource consumption in the i-th stage, R i represents the second characterization value of the building design progress in the i-th stage, β1 represents the weight factor corresponding to the set first characterization value of the building resource consumption, and β2 represents the weight factor corresponding to the set second characterization value of the building design progress.

[0026] The second aspect of the present invention also provides an architectural design progress data management system based on edge computing, including: an edge architectural design planning data analysis module, used to obtain architectural design planning data, and analyze the architectural design planning data to obtain architectural design progress comparison data.

[0027] The edge computing device data acquisition module is used for the cloud server to receive the building design progress data uploaded by the edge computing device, analyze the building design progress data, and obtain comprehensive representation data of the building progress.

[0028] The building progress warning module is used to extract comprehensive representation data of the building progress, issue early warning prompts for the building design progress process based on the progress comparison data of the building design, and simultaneously intelligently adjust the quality inspection frequency of the building design process.

[0029] The present invention has the following beneficial effects:

[0030] (1) The present invention provides a method for managing architectural design progress data based on edge computing. First, the architectural design planning data is analyzed to obtain the progress comparison data of the architectural design. Then, the architectural design progress data is analyzed in detail to calculate the comprehensive representation data of the architectural progress, and an early warning is given based on the progress comparison data of the architectural design. The edge computing device can process and transmit a large amount of field data in real time, thereby improving the efficiency and accuracy of architectural design progress management, effectively optimizing resource allocation, and reducing construction delays. At the same time, through the intelligent analysis and adjustment of the progress data, it helps to ensure the quality of the project design progress and provide scientific and real-time data support for the project design progress.

[0031] (2) The present invention compares the progress reference comparison value of each stage with the comprehensive characterization value of the construction progress, marks the stages with faster progress and slower progress, and issues early warning prompts for the slow progress stage through the PC. By real-time monitoring and analysis of various types of architectural design data, and by comparing historical data with actual data, the construction plan can be dynamically adjusted and optimized, the efficiency of architectural design progress management can be improved, and the project can be completed on time and with quality guaranteed. At the same time, the early warning mechanism can be used to timely discover and solve the problem of slow progress, avoid construction delays and waste of resources, and improve the intelligence level and response speed of the entire project management, thereby achieving more efficient and accurate architectural design progress management.

[0032] (3) The present invention can accurately identify and adjust the quality inspection frequency of the faster progress stage by obtaining the building quality characterization value of each faster progress stage, ensuring that quality control is not neglected while advancing rapidly. By real-time monitoring and dynamic adjustment of the quality inspection frequency, potential quality problems can be discovered and solved in a timely manner, reducing the time and cost of rework and correction, and ensuring the dual control of project quality and progress. This intelligent and dynamic management method improves the management efficiency of the entire construction project, reduces delays and waste, and realizes more sophisticated and efficient construction design progress management.

[0033] (4) The present invention ensures that the project is completed on time and with high quality through early warning prompts and dynamic adjustment of the quality inspection frequency, thereby improving the overall management level of the construction project and the project success rate.

[0034] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 It is a schematic diagram of the method flow of the present invention.

[0036] Figure 2 It is the comprehensive characterization value curve of the construction progress of the present invention.

[0037] Figure 3 It is an overall schematic diagram of the system module of the present invention. DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0039] In the description of the present invention, it should be understood that the terms "opening", "upper", "lower", "thickness", "top", "middle", "length", "inside", "all around" and the like indicating orientation or positional relationship are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the components or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0040] See also Figure 1 As shown, an embodiment of the present invention provides a method and system technical solution for managing architectural design progress data based on edge computing: a method and system for managing architectural design progress data based on edge computing, comprising acquiring architectural design planning data, and analyzing the architectural design planning data to obtain progress comparison data of the architectural design.

[0041] The cloud server receives the building design progress data uploaded by the edge computing device, analyzes the building design progress data, and obtains comprehensive representation data of the building progress.

[0042] It should be noted that the principle of edge computing devices is to move computing, storage and data processing capabilities from the central server (cloud) to a place closer to the data source, that is, the "edge" location. Edge computing devices are usually located at the construction site and can collect and process data in real time. The progress data received by the cloud server is real-time, which helps to track and adjust the progress in a timely manner. In this embodiment, the edge computing device is responsible for collecting the architectural design progress data, including the actual construction period of each stage, the change of building area, power consumption, etc. These data are unprocessed and may contain noise, redundant information or abnormal data, and perform preliminary processing on the architectural design progress data. The preliminary processing includes noise filtering and data screening of the original data through the edge computing device, removing irrelevant data and abnormal data, and ensuring that the data uploaded to the cloud is relevant and reliable. For example, abnormal data points that may be caused by sensor errors or communication failures are eliminated. The processed data includes the progress statistics of each stage, such as the actual construction period, the actual completed area, the material consumption, etc. The processed architectural design progress data is then uploaded to the cloud server for subsequent in-depth analysis. Edge computing devices can effectively reduce data transmission delays, improve the real-time performance of data processing, ensure rapid response to potential problems in construction projects, and assist cloud systems in early warning and regulation, thereby helping to optimize the management process of the entire building design progress.

[0043] It should be added that edge computing devices include environmental sensors, which are used to monitor environmental conditions at the construction site, such as temperature, humidity, air pressure, etc.; surveillance cameras, which are installed at the construction site and provide real-time video streams to monitor construction progress and safety; edge gateways, which are used to connect different types of data sources and are responsible for collecting data from sensors and devices such as on-site environmental sensors, industrial equipment, and video cameras, and performing preliminary data processing and filtering, and then sending the processed data to the cloud server; computers, which are used to process data in real time, run analysis algorithms, and generate reports, and are usually equipped with edge computing capabilities. It also includes industrial switches and edge routers, etc., which are used to wirelessly transmit data from edge computing devices to the central system or cloud server.

[0044] Extract comprehensive characterization data of construction progress, provide early warning reminders of the construction design progress process based on the progress comparison data of the construction design, and simultaneously intelligently adjust the quality inspection frequency of the construction design process.

[0045] It should be noted that edge computing can process and analyze data at the source, significantly reduce data transmission delays, provide real-time decision support, ensure that the design progress is closely connected with actual construction, enable project managers to grasp project dynamics more accurately, optimize resource allocation, improve project efficiency, reduce costs and risks, and ultimately achieve smooth project delivery and expected goals.

[0046] Specifically, the architectural design planning data is analyzed to obtain the progress comparison data of the architectural design. The specific process is: extract the architectural design planning data including the planned construction period of each stage, the planned area of ​​the architectural design in each stage, the reference consumption of various types of building materials in each historical stage, and the cumulative reference electricity consumption in each historical stage, and obtain the progress reference comparison value of each stage after processing, and use the progress reference comparison value of each stage as the progress comparison data of the architectural design.

[0047] It should be noted that before calculating the reference comparison value of the progress of each stage, it is necessary to de-unitize the planned construction period of each stage, the planned area of ​​the building design of each stage, the reference consumption of various types of building materials in each historical stage, and the cumulative reference electricity consumption in each historical stage.

[0048] It should be noted that the progress of each stage refers to the comparison value, and the specific analysis conditions are:

[0049]

[0050] Where, X i Represents the progress reference comparison value of the i-th stage, ΔP i represents the planned duration of the i-th stage, ΔS i represents the planned area of ​​the building design in the i-th stage, ΔC i→j represents the reference consumption of the jth type of building materials in the i-th stage of history, ΔY i represents the cumulative reference electricity consumption of the i-th historical stage, θ1 represents the weight factor corresponding to the set planned construction period, θ2 represents the weight factor corresponding to the set planned area, θ3 represents the weight factor corresponding to the set reference consumption of building materials, θ4 represents the weight factor corresponding to the set cumulative reference electricity consumption, τ1 represents the impact factor corresponding to the set unit planned construction period, τ2 represents the impact factor corresponding to the set unit planned area, τ3 represents the impact factor corresponding to the set unit consumption of building materials, τ4 represents the impact factor corresponding to the set unit electricity consumption, i is the number of each stage, i = 1, 2, 3, ..., n, n is the total number of stages, j is the type of each building material, j = 1, 2, 3, ..., m, m is the total number of building material types.

[0051] In a specific embodiment, the weight factor corresponding to the planned construction period, the weight factor corresponding to the planned area, the weight factor corresponding to the reference consumption of building materials, and the weight factor corresponding to the cumulative reference consumption of electricity are extracted from the data warehouse, and the value range of the weight factor corresponding to the planned construction period, the weight factor corresponding to the planned area, the weight factor corresponding to the reference consumption of building materials, and the weight factor corresponding to the cumulative reference consumption of electricity are all between 0 and 1. Through historical data, the relationship between the planned construction period, the planned construction area, the consumption of building materials, and the power consumption is fitted to obtain a fitting curve. According to the fitting curve, the weight factor corresponding to the planned construction period, the weight factor corresponding to the planned area, the weight factor corresponding to the reference consumption of building materials, and the weight factor corresponding to the cumulative reference consumption of electricity are determined. The planned construction period, the planned construction area, the reference consumption of building materials, and the cumulative reference consumption of electricity are substituted into the fitting curve to obtain the corresponding weight factor corresponding to the planned construction period, the weight factor corresponding to the planned area, the weight factor corresponding to the reference consumption of building materials, and the weight factor corresponding to the cumulative reference consumption of electricity.

[0052] In a specific embodiment, the value range of the impact factor corresponding to the unit planned construction period is between 0 and 1. The impact factor corresponding to the unit planned construction period is extracted from the data warehouse, and a mapping set of impact factors corresponding to the unit planned construction period under different planned construction period conditions can be constructed by comprehensively evaluating the relationship between the historical planned construction period data and the progress reference comparison value. Input the planned construction period and obtain the impact factor corresponding to the corresponding unit planned construction period from the mapping set.

[0053] In a specific embodiment, the value range of the impact factor corresponding to the unit planning area is between 0 and 1. The impact factor corresponding to the unit planning area is extracted from the data warehouse, and a mapping set of impact factors corresponding to the unit planning area under different planning area conditions can be constructed by comprehensively evaluating the relationship between the historical planning area data and the progress reference comparison value. Input the planning area and obtain the corresponding impact factor corresponding to the unit planning area from the mapping set.

[0054] In a specific embodiment, the value range of the impact factor corresponding to the unit consumption of building materials is between 0 and 1. The impact factor corresponding to the unit consumption of building materials is extracted from the data warehouse, and a mapping set of impact factors corresponding to the unit consumption of building materials under the conditions of comprehensive evaluation of different building material consumption can be constructed through the relationship between the historical building material consumption data and the progress reference comparison value. Input the consumption of building materials and obtain the corresponding impact factor corresponding to the unit consumption of building materials from the mapping set.

[0055] In a specific embodiment, the value range of the impact factor corresponding to the unit power consumption is between 0 and 1. The impact factor corresponding to the unit power consumption is extracted from the data warehouse, and a mapping set of impact factors corresponding to the unit power consumption under different power consumption conditions can be constructed by comprehensively evaluating the relationship between the historical planned power consumption data and the progress reference comparison value. Input the power consumption and obtain the corresponding impact factor corresponding to the unit power consumption from the mapping set.

[0056] In a specific embodiment, the parameters of planned construction period for each stage, planned area of ​​architectural design for each stage, reference consumption of various types of building materials in each historical stage, and cumulative reference consumption of electricity in each historical stage do not exist independently. For example, the planned construction period for each stage determines the time required to complete each stage of architectural design. Generally, stages with larger planned areas require longer construction periods. At the same time, the planned area of ​​architectural design directly affects the consumption of building materials. A larger planned area usually leads to higher material requirements and electricity consumption. The reference consumption of various types of building materials in each historical stage and the cumulative reference consumption of electricity provide reference values ​​under similar construction conditions. These values ​​can help predict and reference the actual consumption in each stage of actual construction.

[0057] Specifically, the building design progress data is analyzed, and the specific analysis process is: monitoring the consumption data of various types of building materials in each stage, wherein the consumption data of various types of building materials include the consumption of various types of building materials and the cumulative electricity consumption in each stage, and extracting the reference consumption of various types of building materials in each historical stage and the cumulative reference electricity consumption in each historical stage, and obtaining the first representation value of building resource consumption in each stage after processing.

[0058] Specifically, the first representative value of building resource consumption, the specific analysis conditions are:

[0059]

[0060] In the formula, Q i represents the first representative value of building resource consumption in the i-th stage, C i→j represents the consumption of the jth type of building materials in the i-th stage, Y i represents the cumulative power consumption in the i-th stage, ΔC i→j represents the reference consumption of the jth type of building materials in the i-th stage of history, ΔY irepresents the cumulative reference electricity consumption of the i-th historical stage, α1 represents the correction factor corresponding to the set consumption of building materials, α2 represents the correction factor corresponding to the set power consumption, i is the number of each stage, i = 1, 2, 3, ..., n, n is the total number of stages, j is the type of each building material, j = 1, 2, 3, ..., m, m is the total number of building material types.

[0061] In a specific embodiment, the correction factor corresponding to the consumption of building materials ranges from 0 to 1. The correction factor corresponding to the consumption of building materials is extracted from the data warehouse, and a correction factor mapping set for comprehensively evaluating the consumption of building materials under different construction conditions can be constructed through historical material consumption data, construction method data, and expert evaluation. Real-time building material consumption data is input, and the corresponding building material consumption correction factor is obtained from the mapping set.

[0062] In a specific embodiment, the correction factor corresponding to the power consumption ranges from 0 to 1. The correction factor corresponding to the power consumption is extracted from the data warehouse, and a correction factor mapping set for comprehensively evaluating the power consumption under different construction conditions can be constructed through historical power consumption data, construction environment data, and expert evaluation. Input real-time power consumption data and obtain the corresponding correction factor from the mapping set. The correction factor corresponding to the power consumption reflects the difference between the actual power consumption and the expected consumption under specific construction conditions, which can help optimize the allocation and management of power resources and provide data support for subsequent construction progress analysis.

[0063] In a specific embodiment, the two parameters of building material consumption and cumulative power reference consumption do not exist independently. For example, the consumption of building materials directly reflects the use of materials during the construction process. Higher material consumption is often accompanied by more construction activities, thereby increasing power consumption. The cumulative power reference consumption reflects the power demand at a specific construction stage. It is not only affected by the consumption of building materials, but also related to the frequency and efficiency of construction equipment. Therefore, the combined effect of these two parameters determines the overall utilization efficiency and construction cost of resources during the construction process. By accurately evaluating the consumption of building materials and the cumulative power reference consumption, we can fully understand the allocation and use of resources during the construction process, thereby optimizing the construction plan, improving construction efficiency, and reducing resource waste.

[0064] The actual start time and the actual end time of each stage in the architectural design process are extracted in each stage, and the difference processing is performed to obtain the actual construction period of each stage in the architectural design process.

[0065] The actual construction area, cumulative electricity consumption and construction water consumption of the architectural design are counted in each stage, and the actual construction period of each stage in the architectural design process is extracted. After processing, the second representation value of the architectural design progress in each stage is obtained.

[0066] It should be noted that the specific analysis conditions for the second representative value of the architectural design progress in each stage are:

[0067]

[0068] In the formula, R i represents the second representation value of the architectural design progress in the i-th stage, S i represents the actual building area of ​​the building design in the i-th stage, Y i represents the cumulative power consumption in the i-th stage, P i represents the actual duration of the i-th phase, A i represents the construction water consumption in the i-th stage, ΔS i represents the planned area of ​​the building design in the i-th stage, ΔP i represents the planned duration of the i-th stage, ΔY i represents the cumulative reference power consumption in the i-th historical period, ΔA i represents the set construction water consumption in the i-th stage, α3 represents the correction factor corresponding to the set building area, α2 represents the correction factor corresponding to the set electricity consumption, α5 represents the correction factor corresponding to the set planned construction period, α6 represents the correction factor corresponding to the set construction water consumption, i is the number of each stage, i = 1, 2, 3, ..., n, n is the total number of stages.

[0069] In a specific embodiment, the correction factor corresponding to the building area ranges from 0 to 1. The correction factor corresponding to the building area is extracted from the data warehouse, and a correction factor mapping set for comprehensively evaluating the building area under different construction conditions can be constructed through historical building area data, project scale data, and expert evaluation. Real-time building area data is input to obtain the corresponding correction factor from the mapping set.

[0070] In a specific embodiment, the correction factor corresponding to the power consumption ranges from 0 to 1. The correction factor corresponding to the power consumption is extracted from the data warehouse, and a correction factor mapping set for comprehensively evaluating the power consumption under different construction conditions can be constructed through historical power consumption data, equipment operation data, and expert evaluation. Real-time power consumption data is input to obtain the corresponding correction factor from the mapping set.

[0071] In a specific embodiment, the correction factor corresponding to the construction water consumption ranges from 0 to 1. The correction factor corresponding to the construction water consumption is extracted from the data warehouse, and a correction factor mapping set corresponding to the construction water consumption under different construction water consumption conditions can be constructed by comprehensively evaluating the relationship between the historical construction water consumption and the second characterization value of the building design progress. The construction water consumption is input and the corresponding correction factor is obtained from the mapping set.

[0072] In a specific embodiment, the correction factor corresponding to the planned construction period has a value range between 0 and 1. The correction factor corresponding to the planned construction period is extracted from the data warehouse, and a correction factor mapping set for comprehensively evaluating the planned construction period under different construction conditions can be constructed through historical planned construction period data, construction progress data, and expert evaluation. Real-time planned construction period data is input, and the corresponding correction factor is obtained from the mapping set.

[0073] In a specific embodiment, in this formula, the four parameters of actual construction area, cumulative electricity consumption, actual construction period, and construction water consumption do not exist independently. For example, the actual construction area directly affects the scale and complexity of the construction, and a larger construction area usually requires more construction water and electricity. During the construction process, the cumulative electricity consumption is closely related to the construction area, because a larger construction area requires more electricity support, which leads to increased electricity consumption. The actual construction period is affected by the construction area and the cumulative electricity consumption, because larger construction projects usually take longer to complete, and high electricity consumption may mean that equipment and workers need longer to handle construction tasks. In addition, construction water consumption is also an important parameter, which is related to the construction area and the actual construction period, because larger construction projects require more water resources for concrete mixing, cleaning and other processes. Therefore, the combined effect of these four parameters determines the overall progress and resource management level of the architectural design project. By accurately evaluating the actual construction area, cumulative electricity consumption, actual construction period and construction water consumption, we can fully understand the progress and resource requirements of the project under different construction conditions, thereby optimizing the construction plan and improving project management efficiency. It helps to comprehensively consider scale, resource utilization, time scheduling and quality control in the management of building design progress data, thereby more effectively optimizing the construction process and facilitating the high-quality completion of the project.

[0074] Specifically, comprehensive characterization data of the construction progress are obtained, and the specific process is: extracting the first characterization value of the construction resource consumption in each stage and the second characterization value of the construction design progress in each stage, integrating them to obtain the comprehensive characterization value of the construction progress in each stage, and using the comprehensive characterization value of the construction progress in each stage as the comprehensive characterization data of the construction progress.

[0075] Specifically, the comprehensive characterization value of the construction progress at each stage is the numerical result of analyzing the construction progress data at each stage, and is used to quantitatively evaluate the construction progress at each stage.

[0076] Specifically, the comprehensive representation data of the construction progress is extracted, and based on the progress comparison data of the building design, early warning prompts are given for the progress process of the building design. The specific process is: according to the progress reference comparison value of each stage, it is compared with the comprehensive representation value of the building progress of each stage. If the comprehensive representation value of the building progress of a certain stage is higher than the progress reference comparison value of the stage, then the stage is marked as a faster progress stage, thereby traversing to obtain the faster progress stages; if the comprehensive representation value of the building progress of a certain stage is lower than or equal to the progress reference comparison value of the stage, then the stage is marked as a slow progress stage, thereby traversing to obtain the slow progress stages, and early warning prompts are given for each slow progress stage through the PC.

[0077] Specifically, the frequency of quality inspections in the architectural design process is intelligently adjusted simultaneously. The specific analysis process is: at each faster progress stage, the number of quality defects in the construction project, the time for rectification of quality defects in the project, and the total failure rate of construction equipment are counted, and the building quality characterization value at each faster progress stage is obtained after processing.

[0078] It should be noted that the specific analysis conditions for the building quality characterization values ​​at each faster progress stage are as follows:

[0079]

[0080] In the formula, τ k represents the building quality characterization value of the kth faster progress stage, B k represents the number of quality defects of the construction project in the kth faster progress stage, t k N represents the time for rectification of engineering quality defects in the kth faster progress stage. k represents the total failure rate of construction equipment in the kth faster progress stage, ΔB represents the set number of construction project quality defects, Δt represents the set rectification time of project quality defects, ΔN represents the set total failure rate of construction equipment, σ1 represents the correction factor corresponding to the set number of construction project quality defects, σ2 represents the correction factor corresponding to the set rectification time of project quality defects, and σ3 represents the correction factor corresponding to the failure rate of construction equipment.

[0081] Defects that define the quality of construction projects include, but are not limited to, cracks, leakages, substandard surface flatness, non-compliant materials, structural deformations, unsealed joints, inaccurate equipment installation, pipe blockages, and damaged facilities.

[0082] In a specific embodiment, the correction factor corresponding to the number of quality defects in a construction project ranges from 0 to 1, and the correction factor corresponding to the rectification time of the quality defects in the project also ranges from 0 to 1. The correction factor corresponding to the number of quality defects is extracted from the data warehouse, and a correction factor mapping set for comprehensive evaluation of different numbers of quality defects can be constructed through historical defect data, rectification time records, and expert evaluation. Similarly, the correction factor corresponding to the rectification time of the quality defects in the project is also constructed through historical rectification time data and expert evaluation. By inputting the real-time data of the number of quality defects and the rectification time of a faster progress stage, the corresponding correction factor can be obtained from the mapping set.

[0083] In a specific embodiment, the correction factor corresponding to the construction equipment failure rate ranges from 0 to 1. The correction factor corresponding to the construction equipment failure rate is extracted from the data warehouse, and a correction factor mapping set corresponding to the construction water consumption under different construction equipment failure rates can be constructed through the relationship between the historical construction equipment failure data and the building quality characterization value. Input the construction equipment failure rate and obtain the corresponding correction factor from the mapping set.

[0084] In a specific embodiment, the number of construction project quality defects, the rectification time of construction quality defects, and the total failure rate of construction equipment do not exist independently. For example, the total failure rate of construction equipment directly reflects the frequency of problems with the equipment during the construction process. When the equipment failure rate is high, the construction process may be frequently interrupted, which will not only increase the number of project quality defects, but also extend the rectification time of the defects. More quality defects usually require more rectification time, and frequent equipment failures may lead to reduced rectification efficiency, thereby further extending the construction period. In addition, equipment failures may also indirectly lead to work errors of construction personnel or a decline in construction quality, thereby increasing the number of project quality defects. By comprehensively evaluating these parameters, we can have a more comprehensive understanding of the sources of quality problems in each faster progress stage, and take targeted improvement measures to improve construction quality and efficiency.

[0085] The building quality characterization value of each faster progress stage is matched with the quality inspection supplement frequency corresponding to each building quality characterization value interval preset in the data warehouse to obtain the quality inspection supplement frequency of each faster progress stage.

[0086] The quality inspection supplement frequency of a faster progress stage is accumulated with the quality inspection frequency of this stage preset in the data warehouse to obtain the dynamic adjustment execution quality inspection frequency, thereby traversing to obtain the dynamic adjustment execution quality inspection frequency of each faster progress stage, and based on the dynamic adjustment execution quality inspection frequency of each faster progress stage, quality inspection prompts are given to each faster progress stage.

[0087] Specifically, the comprehensive characterization value of the construction progress at each stage, the specific analysis conditions are:

[0088] ω i =ln[exp(Q i *β1+1)+R i *β2+1];

[0089] In the formula, ω i represents the comprehensive characterization value of the construction progress in the i-th phase, Q i represents the first representative value of building resource consumption in the i-th stage, R i represents the second characterization value of the building design progress in the i-th stage, β1 represents the weight factor corresponding to the set first characterization value of the building resource consumption, and β2 represents the weight factor corresponding to the set second characterization value of the building design progress.

[0090] In a specific embodiment, the weight factor corresponding to the first characterization value of building resource consumption and the weight factor corresponding to the second characterization value of building design progress are extracted from the data warehouse, and the value range of the weight factor corresponding to the first characterization value of building resource consumption and the weight factor corresponding to the second characterization value of building design progress is between 0 and 1. Through historical data, the relationship between building resource consumption, building equipment operation frequency, equipment use time and equipment maintenance record is fitted to obtain a fitting curve. According to the fitting curve, the weight factor corresponding to the first characterization value of building resource consumption and the weight factor corresponding to the second characterization value of building design progress are determined. The building resource consumption, building equipment operation frequency, equipment use time and equipment maintenance record in each stage of real-time are substituted into the fitting curve to obtain the corresponding weight factor corresponding to the first characterization value of building resource consumption and the weight factor corresponding to the second characterization value of building design progress.

[0091] It should be noted that if Figure 2 As shown, Figure 2It is a comprehensive characterization value curve of construction progress, specifically a comprehensive characterization value curve of construction progress in a certain stage, which represents the comprehensive characterization value curve of construction resource consumption corresponding to different first characterization values ​​of construction resource consumption, wherein the x-axis represents the second characterization value of the construction design progress in this stage, and the y-axis represents the comprehensive characterization value of construction resource consumption. Three different sets of example parameters are defined in the figure, corresponding to different situations of the three curves, respectively represented by solid lines, dashed lines and dotted lines, and the corresponding curve labels are a, b, and c, respectively. When the first characterization value of construction resource consumption in this stage is 1, the schematic diagram of the relationship between the second characterization value of the construction design progress and the comprehensive characterization value of construction resource consumption in this stage is shown in curve a, when the first characterization value of construction resource consumption in this stage is 2, the schematic diagram of the relationship between the second characterization value of the construction design progress and the comprehensive characterization value of construction resource consumption in this stage is shown in curve b, and when the first characterization value of construction resource consumption in this stage is 3, the schematic diagram of the relationship between the second characterization value of the construction design progress and the comprehensive characterization value of construction resource consumption in this stage is shown in curve c. And as the stage increases, the overall height of the comprehensive characterization value of the construction progress of this stage will increase accordingly, which reflects the impact of the change in the second characterization value of the architectural design progress of this stage on the comprehensive characterization value of the construction progress of this stage.

[0092] As shown in Table 1, Table 1 is example data of the comprehensive characterization value of the construction progress in a certain stage, which lists the first characterization value of the construction resource consumption in a certain stage, the second characterization value of the construction design progress in a certain stage, and the comprehensive characterization value of the construction progress in a certain stage.

[0093] Table 1 Example data of comprehensive characterization value of construction progress at a certain stage

[0094]

[0095]

[0096] As shown in Table 1, in a specific embodiment, the weight factor corresponding to the first characterization value of building resource consumption is 0.4, the weight factor corresponding to the second characterization value of building design progress is 0.6, and the results of the comprehensive characterization value of building progress in each stage are as shown in the above table. The comprehensive characterization value of building progress in a certain stage is jointly determined by the first characterization value of building resource consumption in this stage, the second characterization value of building design progress in this stage, etc. As the second characterization value of building design progress in this stage gradually increases, the comprehensive characterization value of building progress in this stage will also increase accordingly.

[0097] It should be noted that the second aspect of the present invention also provides an architectural design progress data management system based on edge computing, including: an edge architectural design planning data analysis module, which is used to obtain architectural design planning data, and analyze the architectural design planning data to obtain architectural design progress comparison data.

[0098] The edge computing device data acquisition module is used for the cloud server to receive the building design progress data uploaded by the edge computing device, analyze the building design progress data, and obtain comprehensive representation data of the building progress.

[0099] The building progress warning module is used to extract comprehensive representation data of the building progress, issue early warning prompts for the building design progress process based on the progress comparison data of the building design, and simultaneously intelligently adjust the quality inspection frequency of the building design process.

[0100] It should be noted that the building design progress data management system based on edge computing also includes a data warehouse for storing building design planning data, the frequency of quality inspections at each stage, correction factors corresponding to the consumption of building materials, correction factors corresponding to electricity consumption, weight factors corresponding to the first characterization value of building resource consumption, weight factors corresponding to the second characterization value of building design progress, correction factors corresponding to building area, correction factors corresponding to electricity consumption, correction factors corresponding to planned construction period, weight factors corresponding to planned construction period, weight factors corresponding to planned area, weight factors corresponding to reference consumption of building materials, weight factors corresponding to cumulative reference electricity consumption, number of quality defects defined in construction projects, rectification time for project quality defects, correction factors corresponding to the number of quality defects in construction projects and correction factors corresponding to rectification time for project quality defects, influencing factors corresponding to unit planned construction period, influencing factors corresponding to unit planned area, influencing factors corresponding to unit consumption of building materials, influencing factors corresponding to unit electricity consumption, construction water consumption at each stage, correction factors corresponding to construction water consumption, total failure rate of construction equipment in each faster progress stage, and total failure rate of defined construction equipment.

[0101] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0102] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. Architectural design progress data management method based on edge computing, It is characterized in that include: Acquire architectural design planning data, analyze the architectural design planning data, and obtain comparative data on the progress of architectural design; The cloud server receives the building design progress data uploaded by the edge computing device, analyzes the building design progress data, and obtains comprehensive representation data of the building progress; Extract comprehensive characterization data of construction progress, provide early warning reminders of the construction design progress process based on the progress comparison data of the construction design, and simultaneously intelligently adjust the quality inspection frequency of the construction design process.

2. According to the edge computing-based architectural design progress data management method of claim 1, Features: The architectural design planning data is analyzed to obtain the progress comparison data of the architectural design, and the specific process is as follows: The extracted architectural design planning data include the planned construction period of each stage, the planned area of ​​the architectural design in each stage, the reference consumption of various types of building materials in each historical stage, and the cumulative reference electricity consumption in each historical stage. After processing, the progress reference comparison value of each stage is obtained, and the progress reference comparison value of each stage is used as the progress comparison data of the architectural design.

3. According to the edge computing-based architectural design progress data management method of claim 1, Features: The specific analysis process of analyzing the architectural design progress data is as follows: Monitor the consumption data of various building materials in each stage, including the consumption of various building materials and the cumulative electricity consumption in each stage, and extract the reference consumption of various building materials in each historical stage and the cumulative electricity reference consumption in each historical stage, and obtain the first representation value of building resource consumption in each stage after processing; Extract the actual start time and end time of each stage in the architectural design process, perform difference processing, and obtain the actual construction period of each stage in the architectural design process; The actual construction area, cumulative electricity consumption and construction water consumption of the architectural design are counted in each stage, and the actual construction period of each stage in the architectural design process is extracted. After processing, the second representation value of the architectural design progress in each stage is obtained.

4. According to the edge computing-based architectural design progress data management method of claim 1, Features: The specific process of obtaining the comprehensive characterization data of the construction progress is as follows: The first characterization value of building resource consumption in each stage and the second characterization value of building design progress in each stage are extracted, integrated to obtain the comprehensive characterization value of building progress in each stage, and the comprehensive characterization value of building progress in each stage is used as the comprehensive characterization data of building progress.

5. According to the edge computing-based architectural design progress data management method of claim 4, Features: The comprehensive characterization value of the construction progress at each stage is the numerical result of analyzing the construction progress data at each stage, and is used to quantitatively evaluate the construction progress at each stage.

6. According to the edge computing-based architectural design progress data management method of claim 1, Features: The comprehensive characterization data of the construction progress is extracted, and based on the progress comparison data of the building design, an early warning prompt is given to the progress of the building design. The specific process is as follows: According to the progress reference comparison value of each stage, it is compared with the comprehensive representation value of the construction progress of each stage. If the comprehensive representation value of the construction progress of a certain stage is higher than the progress reference comparison value of that stage, then this stage is marked as a faster progress stage, and the faster progress stages are traversed thereby. If the comprehensive representation value of the construction progress of a certain stage is lower than or equal to the progress reference comparison value of that stage, then this stage is marked as a slow progress stage, and the slow progress stages are traversed thereby, and each slow progress stage is warned through the PC.

7. According to the edge computing-based architectural design progress data management method of claim 5, Features: The synchronous intelligent adjustment of the quality inspection frequency of the architectural design process is as follows: At each faster progress stage, the number of construction project quality defects, the rectification time of construction quality defects and the total failure rate of construction equipment are counted, and the construction quality characterization value of each faster progress stage is obtained after processing; Match the building quality characterization value of each faster progress stage with the quality inspection supplement frequency corresponding to each building quality characterization value interval preset in the data warehouse to obtain the quality inspection supplement frequency of each faster progress stage; The quality inspection supplement frequency of a faster progress stage is accumulated with the quality inspection frequency of this stage preset in the data warehouse to obtain the dynamic adjustment execution quality inspection frequency, thereby traversing to obtain the dynamic adjustment execution quality inspection frequency of each faster progress stage, and based on the dynamic adjustment execution quality inspection frequency of each faster progress stage, quality inspection prompts are given to each faster progress stage.

8. According to the edge computing-based architectural design progress data management method of claim 3, Features: The first representative value of building resource consumption in each stage is analyzed under the following specific conditions: In the formula, Q i represents the first representative value of building resource consumption in the i-th stage, C i→j represents the consumption of the jth type of building materials in the i-th stage, Y i represents the cumulative power consumption in the i-th stage, ΔC i→j represents the reference consumption of the jth type of building materials in the i-th stage of history, ΔY i represents the cumulative reference power consumption in the i-th historical period, α 1 Indicates the correction factor corresponding to the set consumption of building materials, α 2 It represents the correction factor corresponding to the set power consumption, i is the number of each stage, i=1,2,3,...,n, n is the total number of stages, j is the type of each building material, j=1,2,3,...,m, m is the total number of building material types.

9. According to the edge computing-based architectural design progress data management method of claim 4, Features: The comprehensive characterization value of the construction progress in each stage, the specific analysis conditions are: oh i =ln[exp(Q i *b 1 +1)+R i *b 2 +1]; In the formula, ω i represents the comprehensive characterization value of the construction progress in the i-th phase, Q i represents the first representative value of building resource consumption in the i-th stage, R i represents the second characterization value of the architectural design progress in the i-th stage, β 1 Represents the weight factor corresponding to the first characterization value of the set building resource consumption, β 2 Indicates the weight factor corresponding to the second characterization value of the set building design progress.

10. Architectural design progress data management system based on edge computing, Features: include: The architectural design planning data analysis module is used to obtain and analyze the architectural design planning data to obtain the progress comparison data of the architectural design; The edge computing device data acquisition module is used for the cloud server to receive the building design progress data uploaded by the edge computing device, analyze the building design progress data, and obtain comprehensive representation data of the building progress; The building progress warning module is used to extract comprehensive representation data of the building progress, issue early warning prompts for the building design progress process based on the progress comparison data of the building design, and simultaneously intelligently adjust the quality inspection frequency of the building design process.

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