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

Abstract

The application discloses a building design progress data management method and system based on edge computing, relates to the technical field of electronic digital data processing, and first analyzes building design planning data to obtain progress comparison data of building design. Then, the building design progress data is analyzed in detail, comprehensive representation data of building progress is calculated, early warning is prompted based on the progress comparison data of building design, a large amount of field data can be processed and transmitted in real time through the edge computing equipment, the efficiency and accuracy of building design progress management are improved, resource allocation is effectively optimized, delay of the construction period is reduced, and through intelligent analysis and adjustment of the progress data, the quality of the project design progress is ensured, and scientific and real-time data support is provided for the project design progress.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of electronic digital data processing, in particular to a building design progress data management method and system based on edge computing. BACKGROUND

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

[0003] Prior art such as CN111104473B, a visual information management system, method and server, the visual information management system includes a background management module, a GIS platform management module and a visual management module, the background management module is used for receiving and storing engineering design model layers and engineering real scene model layers; the GIS platform management module is used for superimposing the engineering design model layers and the engineering real scene model layers with the pre-stored GIS geographic data respectively, to obtain engineering design display graphs and engineering real scene display graphs; the visual management module is used for calculating the overlap rate of the engineering design display graphs and the engineering real scene display graphs, obtaining engineering progress data, and visually displaying the engineering progress data.

[0004] Prior art such as CN113094800B, a municipal engineering supervision method and system for engineering quality supervision, the method includes obtaining data; building an engineering construction model; identifying the engineering construction model to generate a construction drawing deepening design model; decomposing the municipal engineering construction content according to the progress plan, listing the construction content corresponding to the progress plan respectively, and determining the logical relationship of each progress plan based on the construction scheme to generate a preliminary construction progress plan, then associating the construction drawing deepening design model and the preliminary construction progress plan to generate an engineering quality supervision model, dynamically simulating the whole process of municipal engineering construction and quality supervision; based on the engineering quality supervision model, real-time monitoring of engineering quality data, and alarming when the engineering quality data does not meet the preset conditions.

[0005] Based on the above scheme, it is found that there are still limitations in building design progress data management, for example, the progress delay in the building design process is not identified in time, and the quality control problem is ignored while the building is rapidly advancing, so that the building project manager cannot discover and correct the progress deviation and quality problems in time, which may cause the building design project to be delayed due to progress deviation or quality problems. SUMMARY

[0006] In view of the deficiencies of the prior art, the building design progress data management method and system based on edge computing are provided, which can effectively solve the problems involved in the background art.

[0007] To achieve the above object, the building design progress data management method based on edge computing comprises obtaining building design planning data, analyzing the building design planning data, and obtaining progress comparison data of building design.

[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 building progress.

[0009] The comprehensive representation data of building progress is extracted, the building design progress process is warned and prompted based on the progress comparison data of building design, and the quality inspection frequency of the building design process is intelligently adjusted synchronously.

[0010] Further, the building design planning data is analyzed to obtain the progress comparison data of building design, and the specific process is as follows: the building design planning data includes the planned duration of each stage, the planned area of building design of each stage, the reference consumption of various types of building materials in historical stages, and the cumulative power reference consumption of historical stages, the progress reference comparison value of each stage is obtained after processing, and the progress reference comparison value of each stage is taken as the progress comparison data of building design.

[0011] Further, the building design progress data is analyzed, and the specific analysis process is as follows: the consumption data of various types of building materials in each stage is monitored, wherein the consumption data of various types of building materials includes the consumption of various types of building materials and the cumulative power consumption of each stage, and the reference consumption of various types of building materials in historical stages and the cumulative power reference consumption of historical stages are extracted, and the first representation value of building resource consumption in each stage is obtained after processing.

[0012] The actual start time and actual end time of each stage in the building design process are extracted in each stage, difference processing is performed, and the actual duration of each stage in the building design process is obtained.

[0013] The actual building area, cumulative power consumption and construction water consumption of building design are counted in each stage, and the actual duration of each stage in the building design process is extracted, and the second representation value of building design progress in each stage is obtained after processing.

[0014] Further, the comprehensive representation data of the construction progress is obtained by extracting the first representation value of the construction resource consumption in each stage and the second representation value of the construction design progress in each stage, and integrating the comprehensive representation value of the construction progress in each stage, and taking the comprehensive representation value of the construction progress in each stage as the comprehensive representation data of the construction progress.

[0015] Further, the comprehensive representation value of the construction progress in each stage is a numerical result of analyzing the construction progress data in each stage, and is used for quantitative evaluation of the construction progress in each stage.

[0016] Further, the comprehensive representation data of the construction progress is obtained based on the progress comparison data of the construction design, and a warning prompt is given for the construction design progress process, and the specific process is as follows: according to the progress reference comparison value of each stage, and comparing with the comprehensive representation value of the construction progress in each stage, if the comprehensive representation value of the construction progress in a stage is higher than the progress reference comparison value of the stage, the stage is marked as a progress faster stage, and thus each progress faster stage is obtained by iteration, if the comprehensive representation value of the construction progress in a stage is lower than or equal to the progress reference comparison value of the stage, the stage is marked as a progress slower stage, and thus each progress slower stage is obtained by iteration, and each progress slower stage is given a warning prompt through the PC terminal.

[0017] Further, the quality inspection frequency of the construction design process is intelligently adjusted synchronously, and the specific analysis process is as follows: the number of construction engineering quality defects, the engineering quality defect rectification time and the total failure rate of construction equipment in each progress faster stage are counted, and the construction quality representation value of each progress faster stage is obtained by processing.

[0018] The construction quality representation value of each progress faster stage is matched with the quality inspection supplement frequency corresponding to each building quality representation value interval preset in the data warehouse, and the quality inspection supplement frequency of each progress faster stage is obtained.

[0019] The quality inspection supplement frequency of a progress faster stage is accumulated with the quality inspection frequency of the stage preset in the data warehouse to obtain a dynamically adjusted execution quality inspection frequency, and thus the dynamically adjusted execution quality inspection frequency of each progress faster stage is obtained by iteration, and the quality inspection of each progress faster stage is prompted based on the dynamically adjusted execution quality inspection frequency of each progress faster stage.

[0020] Further, the first representation value of the construction resource consumption is analyzed based on the following conditions:

[0021]

[0022] In the formula, Q i represents the first representation value of the construction resource consumption in the i-th stage, C i→jY represents the consumption of the jth building material in the ith stage i ΔC represents the cumulative power consumption of the ith stage i→j ΔY represents the reference consumption of the jth building material in the ith historical stage i α1 represents the correction factor corresponding to the set building material consumption, 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] Further, the building progress comprehensive representation value of 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 building progress comprehensive representation value of the ith stage, Q i represents the first representation value of building resource consumption in the ith stage, R i represents the second representation value of building design progress in the ith stage, β1 represents the weight factor corresponding to the set first representation value of building resource consumption, and β2 represents the weight factor corresponding to the set second representation value of building design progress.

[0026] The second aspect of the present application also provides an edge computing-based building design progress data management system, comprising: an edge building design planning data analysis module, which is used to obtain building design planning data and analyze the building design planning data to obtain building design progress comparison data.

[0027] An edge computing device data collection module is configured to receive building design progress data uploaded by an edge computing device through a cloud server, analyze the building design progress data, and obtain comprehensive representation data of building progress.

[0028] A building progress warning module is configured to extract the comprehensive representation data of building progress, based on the building design progress comparison data, to provide a warning prompt for the building design progress process, and intelligently adjust the quality inspection frequency of the building design process.

[0029] The present application has the following advantages:

[0030] (1) The application provides an edge computing-based building design progress data management method, which first analyzes building design planning data to obtain building design progress comparison data. Then, the building design progress data is analyzed in detail, the comprehensive representation data of building progress is calculated, and early warning is prompted based on the building design progress comparison data. Through the edge computing device, a large amount of on-site data can be processed and transmitted in real time, the efficiency and accuracy of building design progress management are improved, resource allocation is effectively optimized, the delay of the construction period is reduced, and through intelligent analysis and adjustment of the progress data, the quality of the project design progress is ensured, and scientific and real-time data support is provided for the project design progress.

[0031] (2) The application compares the progress reference comparison value of each stage with the building progress comprehensive representation value, marks the stages with faster progress and slower progress, and gives a pre-warning through the PC terminal for the stages with slower progress. By real-time monitoring and analyzing various building design data, and comparing historical data and actual data, the construction plan can be dynamically adjusted and optimized, the efficiency of building design progress management is improved, the project is ensured to be completed on time and the quality is ensured. At the same time, through the early warning mechanism, the slow progress problem is found and solved in time, construction delay and resource waste are avoided, the intelligent level and response speed of the whole project management are improved, so that more efficient and accurate building design progress management is realized.

[0032] (3) The application can accurately identify and adjust the quality inspection frequency of the stages with faster progress by obtaining the building quality representation value of each stage with faster progress, so as to ensure that quality control is not ignored while the progress is rapidly promoted. By real-time monitoring and dynamic adjustment of the quality inspection frequency, potential quality problems can be found and solved in time, the time and cost of rework and correction are reduced, and the dual control of engineering quality and progress is ensured. This intelligent and dynamic management method improves the management efficiency of the whole building project, reduces delay and waste, and realizes more precise and efficient building design progress management.

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

[0034] Of course, any product implementing the present application does not necessarily need to achieve all the advantages described above. BRIEF DESCRIPTION OF DRAWINGS

[0035] Figure 1 The figure is a schematic diagram of the method of the application.

[0036] Figure 2 The figure is a building progress comprehensive representation value curve of the application. DETAILED DESCRIPTION

[0037] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0038] In the description of the present application, it should be understood that the terms "opening", "upper", "lower", "thickness", "top", "middle", "length", "inner", "periphery" and the like indicate the orientation or positional relationship, which are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the referred components or elements must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation of the present application.

[0039] Please refer to Figure 1 The embodiments of the present application provide technical solutions of building design progress data management method and system based on edge computing: the building design progress data management method and system based on edge computing comprises obtaining building design planning data, and analyzing the building design planning data to obtain progress comparison data of building design.

[0040] 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 building progress.

[0041] It should be noted that the principle of edge computing device is to move computing, storage and data processing capabilities from central server (cloud) to a place closer to data source, i.e. "edge" location. The edge computing device is usually located at the construction site and can collect and process data in real time. The progress data received by the cloud server has real-time performance, which helps to track and adjust the progress in time. In this embodiment, the edge computing device is responsible for collecting building design progress data, including actual construction period of each stage, change of building area, power consumption, etc. These data are unprocessed and may contain noise, redundant information or abnormal data. The building design progress data is preliminarily processed, which includes noise filtering and data screening of the original data by the edge computing device, to remove irrelevant data and abnormal data, so as to ensure that the data uploaded to the cloud is relevant and reliable. For example, abnormal data points generated due to sensor error or communication failure are removed. The processed data includes progress statistics of each stage, such as actual construction period, actual completed area, material consumption, etc. The processed building design progress data is uploaded to the cloud server for subsequent more in-depth analysis. The edge computing device can effectively reduce data transmission delay and improve the real-time performance of data processing, so as to ensure that potential problems can be quickly responded in the construction project, and the cloud system can be assisted to perform early warning and regulation, thereby helping to optimize the management process of the whole building design progress.

[0042] It should be noted that the edge computing device includes environmental sensors for monitoring environmental conditions of the construction site, such as temperature, humidity, air pressure, etc.; monitoring cameras installed at the construction site to provide real-time video stream for monitoring construction progress and safety; edge gateway for connecting different types of data sources and collecting data from on-site environmental sensors, industrial equipment, video cameras and other sensors and equipment, and performing preliminary data processing and filtering, and then sending the processed data to the cloud server; computer for real-time data processing, running analysis algorithms and generating reports, usually equipped with edge computing capability. It also includes industrial switches and edge routers, etc. for wirelessly transmitting data of the edge computing device to the central system or the cloud server.

[0043] The comprehensive representation data of building progress is extracted, the building design progress process is warned and prompted based on the comparison data of building design progress, and the intelligent adjustment of the quality inspection frequency of the building design process is synchronized.

[0044] It should be noted that edge computing can process and analyze data at the source, greatly reduce data transmission delay, provide real-time decision support, ensure that the design progress closely links with the actual construction, enable project managers to more accurately master the project dynamics, optimize resource allocation, improve project efficiency, reduce cost and risk, and finally realize smooth delivery and expected goal of the project.

[0045] Specifically, the building design planning data is analyzed to obtain progress comparison data of the building design, and the specific process is as follows: the building design planning data including the planned duration of each stage, the planning area of building design of each stage, the reference consumption of each type of building material in each historical stage, and the cumulative power reference consumption of each historical stage is extracted, the progress reference comparison value of each stage is obtained by processing, and the progress reference comparison value of each stage is taken as the progress comparison data of the building design.

[0046] It should be noted that the planned duration of each stage, the planning area of building design of each stage, the reference consumption of each type of building material in each historical stage, and the cumulative power reference consumption of each historical stage need to be unitized before the calculation of the progress reference comparison value of each stage.

[0047] It should be noted that the progress reference comparison value of each stage is specifically analyzed under the following conditions:

[0048]

[0049] In the formula, 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 planning area of building design of the i-th stage, ΔC i→ j 表 represents the reference consumption of the j-th type of building material in the i-th historical stage, ΔY i represents the cumulative power reference consumption of the i-th historical stage, θ1 represents the weight factor corresponding to the planned duration, θ2 represents the weight factor corresponding to the planning area, θ3 represents the weight factor corresponding to the reference consumption of the building material, θ4 represents the weight factor corresponding to the cumulative power reference consumption, τ1 represents the influence factor corresponding to the unit planned duration, τ2 represents the influence factor corresponding to the unit planning area, τ3 represents the influence factor corresponding to the unit consumption of the building material, τ4 represents the influence factor corresponding to the unit 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.

[0050] In one specific embodiment, the weight factor corresponding to the planned construction period, the weight factor corresponding to the planned construction area, the weight factor corresponding to the reference consumption of building materials, and the weight factor corresponding to the cumulative reference consumption of electric power are extracted from the data warehouse, the value range of the weight factor corresponding to the planned construction period, the weight factor corresponding to the planned construction area, the weight factor corresponding to the reference consumption of building materials, and the weight factor corresponding to the cumulative reference consumption of electric power is between 0 and 1, the relationship between the planned construction period, the planned construction area, the consumption of building materials, and the consumption of electric power is fitted through historical data 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 construction area, the weight factor corresponding to the reference consumption of building materials, and the weight factor corresponding to the cumulative reference consumption of electric power are determined. The planned construction period, the planned construction area, the reference consumption of building materials, and the cumulative reference consumption of electric power are substituted into the fitting curve, so that the corresponding weight factor corresponding to the planned construction period, the weight factor corresponding to the planned construction area, the weight factor corresponding to the reference consumption of building materials, and the weight factor corresponding to the cumulative reference consumption of electric power are obtained.

[0051] In one specific embodiment, the value range of the unit planned construction period corresponding to the influence factor is between 0 and 1. The unit planned construction period corresponding to the influence factor is extracted from the data warehouse, and a mapping set of the unit planned construction period corresponding to the influence factor under different planned construction period conditions can be constructed by comparing the relationship between historical planned construction period data and progress reference comparison values. Input the planned construction period to obtain the corresponding unit planned construction period corresponding to the influence factor from the mapping set.

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

[0053] In one specific embodiment, the value range of the unit planned construction period corresponding to the influence factor is between 0 and 1. The unit planned construction period corresponding to the influence factor is extracted from the data warehouse, and a mapping set of the unit planned construction period corresponding to the influence factor under different planned construction period conditions can be constructed by comparing the relationship between historical planned construction period data and progress reference comparison values. Input the planned construction period to obtain the corresponding unit planned construction period corresponding to the influence factor from the mapping set.

[0054] 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 comparing the historical planned power consumption data with the progress reference. The input power consumption is used to obtain the corresponding impact factor of the unit power consumption from the mapping set.

[0055] In a specific embodiment, the planned duration of each stage, the planned area of each stage of building design, the reference consumption of each type of building material in the historical stages, and the cumulative power reference consumption of the historical stages are not independent. For example, the planned duration of each stage determines the time required to complete the building design stage. Generally, a larger planned area requires a longer duration. At the same time, the planned area of building design directly affects the consumption of building materials, and a larger planned area usually leads to higher material demand and power consumption. The reference consumption of each type of building material in the historical stages and the cumulative power reference consumption provide reference values under similar construction conditions, which can help predict and reference the actual consumption of each stage of the actual building.

[0056] Specifically, the building design progress data is analyzed, and the specific analysis process is: monitoring the consumption data of each type of building material in each stage, wherein the consumption data of each type of building material includes the consumption of each type of building material and the cumulative power consumption of each stage, and extracting the reference consumption of each type of building material in the historical stages and the cumulative power reference consumption of the historical stages, to obtain the first building resource consumption representation value in each stage.

[0057] Specifically, the first building resource consumption representation value, and the specific analysis conditions are:

[0058]

[0059] In the formula, Q i represents the first building resource consumption representation value in the i-th stage, C i→j represents the consumption of the j-th type of building material in the i-th stage, Y i represents the cumulative power consumption of the i-th stage, ΔC i→j represents the reference consumption of the j-th type of building material in the i-th stage, ΔY irepresents the cumulative power reference consumption of the i-th stage of the history, a1 represents the correction factor corresponding to the consumption of the building material set, a2 represents the correction factor corresponding to the power consumption set, 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, and m is the total number of building material types.

[0060] In a specific embodiment, the correction factor corresponding to the consumption of the building material ranges from 0 to 1. The correction factor corresponding to the consumption of the building material is extracted from the data warehouse, and a mapping set of correction factors for evaluating the consumption of building materials under different construction conditions can be constructed through historical material consumption data, construction method data, and expert evaluation. Input real-time building material consumption data to obtain the corresponding building material consumption correction factor from the mapping set.

[0061] 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 mapping set of correction factors for 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 to 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 building progress analysis.

[0062] In a specific embodiment, the consumption of building materials and the cumulative power reference consumption are not independent. For example, the consumption of building materials directly reflects the use of materials during construction, and higher material consumption often accompanies more construction activities, thereby increasing power consumption. The cumulative power reference consumption reflects the power demand at a specific construction stage, which is not only affected by the consumption of building materials, but also related to the usage frequency and efficiency of construction equipment. Therefore, the two parameters work together to determine the overall utilization efficiency and construction cost of resources during construction. By accurately evaluating the consumption of building materials and the cumulative power reference consumption, the resource allocation and use during construction can be comprehensively understood, thereby optimizing the construction plan, improving the construction efficiency, and reducing resource waste.

[0063] In each stage, the actual start time and the actual end time of each stage in the building design process are extracted, and the difference is processed to obtain the actual duration of each stage in the building design process.

[0064] The actual building area, the cumulative power consumption and the construction water consumption of the building design in each stage are counted, and the actual construction period of each stage in the building design process is extracted, and a second representation value of the building design progress in each stage is obtained after processing.

[0065] It should be noted that the second representation value of the building design progress in each stage is specifically analyzed under the following conditions:

[0066]

[0067] In the formula, R i represents the second representation value of the building 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 construction period of the i-th stage, A i represents the construction water consumption of the i-th stage, ΔS i represents the planning area of the building design in the i-th stage, ΔP i represents the planned construction period of the i-th stage, ΔY i represents the cumulative power reference consumption of the i-th stage in history, ΔA i represents the set construction water consumption of the i-th stage, α3 represents the correction factor corresponding to the set building area, α2 represents the correction factor corresponding to the set power 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, and i is the number of stages, i = 1, 2, 3,..., n, and n is the total number of stages.

[0068] In a specific embodiment, the correction factor corresponding to the building area has a value range of 0 to 1. The correction factor corresponding to the building area is extracted from the data warehouse, and a correction factor mapping set for evaluating the building area under different construction conditions can be constructed by historical building area data, project scale data and expert evaluation. The real-time building area data is input, and the corresponding correction factor is obtained from the mapping set.

[0069] In a specific embodiment, the correction factor corresponding to the power consumption has a value range of 0 to 1. The correction factor corresponding to the power consumption is extracted from the data warehouse, and a correction factor mapping set for evaluating the power consumption under different construction conditions can be constructed by historical power consumption data, equipment operation data and expert evaluation. The real-time power consumption data is input, and the corresponding correction factor is obtained from the mapping set.

[0070] In a specific embodiment, the value range of the correction factor corresponding to the construction water consumption is between 0 and 1. The correction factor corresponding to the construction water consumption is extracted from the data warehouse, and a mapping set of correction factors corresponding to the construction water consumption under different construction water consumption conditions can be constructed by the relationship between the historical construction water consumption and the second representation value of the building design progress. The construction water consumption is input, and the corresponding correction factor is obtained from the mapping set.

[0071] In a specific embodiment, the value range of the correction factor corresponding to the planned construction period is between 0 and 1. The correction factor corresponding to the planned construction period is extracted from the data warehouse, and a mapping set of correction factors of the planned construction period under different construction conditions can be constructed by historical planned construction period data, construction progress data and expert evaluation. The real-time planned construction period data is input, and the corresponding correction factor is obtained from the mapping set.

[0072] In a specific embodiment, in the formula, the actual building area, the cumulative power consumption, the actual construction period and the construction water consumption are not independent. For example, the actual building area directly affects the scale and complexity of construction, and a larger building area usually requires more construction water and power. During construction, the cumulative power consumption is closely related to the building area, because a larger building area requires more power support, resulting in an increase in power consumption. The actual construction period is affected by the building area and the cumulative power consumption, because a larger construction project usually takes longer to complete, and high power consumption may mean that equipment and workers need more time to handle construction tasks. In addition, the construction water consumption is also an important parameter, which is related to the building area and the actual construction period, because a larger construction project requires more water resources for concrete mixing, cleaning and other processes. Therefore, the four parameters work together to determine the overall progress and resource management level of the building design project. By accurately evaluating the actual building area, the cumulative power consumption, the actual construction period and the construction water consumption, the progress and resource demand of the project under different construction conditions can be comprehensively understood, so as to optimize the construction plan and improve the project management efficiency, which helps to comprehensively consider the scale, resource use, time arrangement and quality control in the building design progress data management, so as to more effectively optimize the construction process and help the completion of the project with high quality.

[0073] Specifically, the comprehensive representation data of the building progress is obtained, and the specific process is as follows: the first representation value of the building resource consumption in each stage and the second representation value of the building design progress in each stage are extracted, and the building progress comprehensive representation value of each stage is obtained by integration. The building progress comprehensive representation value of each stage is taken as the comprehensive representation data of the building progress.

[0074] Specifically, the comprehensive representation value of the construction progress of each stage is a numerical result of analyzing the construction progress data of each stage, and is used for quantitative evaluation of the construction progress of each stage.

[0075] Specifically, the comprehensive representation data of the construction progress is extracted, and a warning prompt is given for the construction design progress process based on the progress comparison data of the construction design. The specific process is as follows: according to the progress reference comparison value of each stage, the comprehensive representation value of the construction progress of each stage is compared. If the comprehensive representation value of the construction progress of a stage is higher than the progress reference comparison value of the stage, the stage is marked as a progress faster stage. Thus, each progress faster stage is obtained. If the comprehensive representation value of the construction progress of a stage is lower than or equal to the progress reference comparison value of the stage, the stage is marked as a progress slower stage. Thus, each progress slower stage is obtained, and each progress slower stage is given a warning prompt through the PC terminal.

[0076] Specifically, the quality inspection frequency of the construction design process is intelligently adjusted synchronously, and the specific analysis process is as follows: the number of construction engineering quality defects, the engineering quality defect rectification time, and the total failure rate of construction equipment in each progress faster stage are counted, and the construction quality representation value of each progress faster stage is obtained after processing.

[0077] It should be noted that the construction quality representation value of each progress faster stage is specifically analyzed under the following conditions:

[0078]

[0079] In the formula, τ k represents the construction quality representation value of the kth progress faster stage, B k represents the number of construction engineering quality defects of the kth progress faster stage, t k represents the engineering quality defect rectification time of the kth progress faster stage, N k represents the total failure rate of construction equipment of the kth progress faster stage, ΔB represents the set construction engineering quality defect quantity, Δt represents the set engineering quality defect rectification time, ΔN represents the set total failure rate of construction equipment, σ1 represents the correction factor corresponding to the set construction engineering quality defect quantity, σ2 represents the correction factor corresponding to the set engineering quality defect rectification time, and σ3 represents the correction factor corresponding to the construction equipment failure rate.

[0080] The construction engineering quality defects include but are not limited to cracks, leakage, surface flatness not meeting standards, materials not meeting standards, structural deformation, joint sealing, equipment installation inaccuracy, pipe blockage, and facility damage problems.

[0081] In one specific embodiment, the correction factor corresponding to the number of construction quality defects has a value ranging from 0 to 1, and the correction factor corresponding to the defect rectification time has a value also ranging from 0 to 1. The correction factor corresponding to the number of quality defects is extracted from the data warehouse and can be constructed by historical defect data, rectification time records, and expert evaluation to build a comprehensive evaluation of the correction factor mapping set under different quality defect quantity conditions. Similarly, the correction factor corresponding to the defect rectification time is also constructed by historical rectification time data and expert evaluation. By inputting the real-time quality defect quantity and rectification time data of a certain progress faster stage, the corresponding correction factor can be obtained from the mapping set.

[0082] In one specific embodiment, the correction factor corresponding to the construction equipment failure rate has a value ranging from 0 to 1. The correction factor corresponding to the construction equipment failure rate is extracted from the data warehouse and can be constructed by the relationship between historical construction equipment failure data and the construction quality representation value to build a comprehensive evaluation of the construction water consumption corresponding to the correction factor mapping set under different construction equipment failure rate conditions. By inputting the construction equipment failure rate, the corresponding correction factor can be obtained from the mapping set.

[0083] In one specific embodiment, the number of construction quality defects, the defect rectification time, 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 equipment problems during the construction process. When the equipment failure rate is high, the construction process may be frequently interrupted, which not only increases the number of quality defects, but also may prolong the defect rectification time. More quality defects usually require more rectification time, and frequent equipment failure may reduce the rectification efficiency, thereby further prolonging the construction period. In addition, equipment failure may indirectly lead to construction personnel's work mistakes or construction quality decline, thereby increasing the number of construction quality defects. By comprehensively evaluating these parameters, the sources of quality problems in each progress faster stage can be more comprehensively understood, and targeted improvement measures can be taken to improve construction quality and efficiency.

[0084] The construction quality representation value of each progress faster stage is matched with the quality inspection supplement frequency corresponding to each construction quality representation value interval preset in the data warehouse to obtain the quality inspection supplement frequency of each progress faster stage.

[0085] The quality inspection supplement frequency of a certain progress faster stage is accumulated with the quality inspection frequency of the stage preset in the data warehouse to obtain the dynamically adjusted execution quality inspection frequency, thereby obtaining the dynamically adjusted execution quality inspection frequency of each progress faster stage, and the quality inspection prompt of each progress faster stage is performed based on the dynamically adjusted execution quality inspection frequency of each progress faster stage.

[0086] Specifically, the construction progress comprehensive representation value of each stage is represented by the following formula:

[0087] ω i = ln [exp(Q i * β1+ 1) + R i * β2+ 1];

[0088] In the formula, ω i represents the construction progress comprehensive representation value of the i-th stage, Q i represents the first representation value of the construction resource consumption in the i-th stage, R i represents the second representation value of the construction design progress in the i-th stage, β1represents the weight factor corresponding to the first representation value of the construction resource consumption, and β2represents the weight factor corresponding to the second representation value of the construction design progress.

[0089] In one specific embodiment, the weight factor corresponding to the first representation value of the construction resource consumption and the weight factor corresponding to the second representation value of the construction design progress are extracted from the data warehouse. The weight factor corresponding to the first representation value of the construction resource consumption and the weight factor corresponding to the second representation value of the construction design progress are in the range of 0 to 1. Through historical data, the relationship between the construction resource consumption, the construction equipment operation frequency, the equipment use time and the equipment maintenance record is fitted to obtain a fitting curve. According to the fitting curve, the weight factor corresponding to the first representation value of the construction resource consumption and the weight factor corresponding to the second representation value of the construction design progress are determined. The real-time construction resource consumption, construction equipment operation frequency, equipment use time and equipment maintenance record in each stage are substituted into the fitting curve to obtain the corresponding weight factor corresponding to the first representation value of the construction resource consumption and the weight factor corresponding to the second representation value of the construction design progress.

[0090] It should be noted that, as Figure 2 shown, Figure 2To represent the building progress comprehensive value curve, specifically the building progress comprehensive value curve of a certain stage, the building resource consumption comprehensive value curve corresponding to different building resource consumption first characteristic values is represented, wherein the x-axis represents the building design progress second characteristic value of the stage, the y-axis represents the building resource consumption comprehensive value, three different example parameters are defined in the figure, corresponding to different situations of the three curves, represented by solid line, dashed line and dot-dash line respectively, and the corresponding curve labels are a, b and c respectively, when the building resource consumption first characteristic value of the stage is 1, the schematic diagram of the relationship between the building design progress second characteristic value and the building resource consumption comprehensive value of the stage is shown in curve a, when the building resource consumption first characteristic value of the stage is 2, the schematic diagram of the relationship between the building design progress second characteristic value and the building resource consumption comprehensive value of the stage is shown in curve b, when the building resource consumption first characteristic value of the stage is 3, the schematic diagram of the relationship between the building design progress second characteristic value and the building resource consumption comprehensive value of the stage is shown in curve c. And with the increase of the stage, the overall height of the building progress comprehensive value of the stage will increase, which reflects the influence of the change of the building design progress second characteristic value of the stage on the building progress comprehensive value of the stage.

[0091] As shown in Table 1, Table 1 is an example data of the building progress comprehensive value of a certain stage, wherein the building resource consumption first characteristic value of a certain stage, the building design progress second characteristic value of a certain stage and the building progress comprehensive value of a certain stage are listed.

[0092] Table 1 Example data of building progress comprehensive value of a certain stage

[0093]

[0094] As shown in Table 1, in a specific embodiment, wherein the weight factor corresponding to the building resource consumption first characteristic value is 0.4, the weight factor corresponding to the building design progress second characteristic value is 0.6, and the result of the building progress comprehensive value of each stage is as shown in the above table. The building progress comprehensive value of a certain stage is determined by the building resource consumption first characteristic value in the stage, the building design progress second characteristic value in the stage and the like, and as the building design progress second characteristic value in the stage gradually increases, the building progress comprehensive value of the stage also increases.

[0095] It should be noted that the second aspect of the present application also provides an edge computing-based building design progress data management system, comprising: an edge building design planning data analysis module, configured to obtain building design planning data and analyze the building design planning data to obtain building design progress comparison data.

[0096] The edge computing device data collection module is configured 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.

[0097] The building progress early warning module is configured to extract the comprehensive representation data of the building progress, perform early warning and prompt on the building design progress process based on the progress comparison data of the building design, and intelligently adjust the quality inspection frequency of the building design process in synchronization.

[0098] It should be noted that the building design progress data management system based on edge computing further comprises a data warehouse configured to store building design planning data, quality inspection frequency of each stage, correction factor corresponding to consumption of building materials, correction factor corresponding to power consumption, weight factor corresponding to first representation value of building resource consumption, weight factor corresponding to second representation value of building design progress, correction factor corresponding to building area, correction factor corresponding to power consumption, correction factor corresponding to planned construction period, weight factor corresponding to planned construction period, weight factor corresponding to planning area, weight factor corresponding to reference consumption of building materials, weight factor corresponding to cumulative power reference consumption, number of engineering quality defects, engineering quality defect rectification time, correction factor corresponding to number of building engineering quality defects, correction factor corresponding to engineering quality defect rectification time, influence factor corresponding to unit planned construction period, influence factor corresponding to unit planning area, influence factor corresponding to consumption of unit building materials, influence factor corresponding to unit power consumption, construction water consumption of each stage, correction factor corresponding to construction water consumption, total failure rate of construction equipment of each progress faster stage, and defined total failure rate of construction equipment.

[0099] It should be noted that in this document, the terms such as first and second are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "contain" 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 not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or device.

[0100] The preferred embodiments of the application disclosed above are only to facilitate the elucidation of the application. The preferred embodiments do not describe all the details of the application and limit the application to the specific embodiments described. Obviously, many modifications and variations can be made in light of the teachings above. The description is chosen and described in order to best explain the principles of the application and its practical application to thereby enable others skilled in the art to best utilize the application and get the best results from the application. The application is only limited by the claims and their full scope and equivalents.

Claims

1. The architectural design progress data management method based on edge computing is characterized by: include: Acquire and analyze architectural design and planning data to obtain comparative data on architectural design progress; 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 of the construction design progress based on the progress comparison data of the construction design, and intelligently adjust the frequency of quality inspections during the construction design process; Analyze the architectural design progress data. The specific analysis process is as follows: Monitoring 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 extracting the reference consumption of various building materials in each historical stage and the cumulative reference electricity consumption in each historical stage, and processing them to obtain the first representative value of building resource consumption in each stage; 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 building design are calculated in each stage, and the actual construction period of each stage in the building design process is extracted. After processing, the second representation value of the building design progress in each stage is obtained; The specific process of obtaining the comprehensive characterization data of the construction progress is as follows: Extracting the first characterization value of construction resource consumption in each stage and the second characterization value of construction design progress in each stage, integrating them to obtain the comprehensive characterization value of construction progress in each stage, and using the comprehensive characterization value of construction progress in each stage as the comprehensive characterization data of construction progress; The first representative value of building resource consumption in each stage is analyzed under the following specific conditions: Where 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 historical period, ΔY i represents the cumulative reference electricity consumption of the i-th historical stage, α1 represents the correction factor corresponding to the consumption of the set building material, α2 represents the correction factor corresponding to the set 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; The specific analysis conditions for the second representative value of the architectural design progress in each stage are as follows: Where R i represents the second characterization 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, P i represents the actual construction period of the i-th stage, A represents the construction water consumption of 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, ΔA i represents the set construction water consumption in the i-th stage, α3 represents the correction factor corresponding to the set building area, α5 represents the correction factor corresponding to the set planned construction period, and α6 represents the correction factor corresponding to the set construction water consumption.

2. The architectural design progress data management method based on edge computing according to claim 1 is characterized in that: The architectural design planning data is analyzed to obtain architectural design progress comparison data. 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 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. 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. The architectural design progress data management method based on edge computing according to claim 1 is characterized in that: The comprehensive characterization value of the construction progress of each stage is the numerical result of analyzing the construction progress data of each stage, and is used to quantitatively evaluate the construction progress of each stage.

4. The architectural design progress data management method based on edge computing according to claim 1 is characterized in that: The comprehensive characterization data of the construction progress is extracted, and based on the progress comparison data of the architectural design, an early warning prompt of the architectural design progress is given. 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 the stage, then the stage is marked as a faster progress stage, and the faster progress stages are obtained by traversing. 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 the stage, then the stage is marked as a slow progress stage, and the slow progress stages are obtained by traversing, and each slow progress stage is warned through the PC.

5. The architectural design progress data management method based on edge computing according to claim 1 is characterized in that: The synchronous intelligent adjustment of the quality inspection frequency of the architectural design process is carried out. The specific analysis process is as follows: At each faster progress stage, the number of construction project quality defects, the time required to rectify 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 through 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 added to the quality inspection frequency of the 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.

6. The architectural design progress data management method based on edge computing according to claim 1 is characterized in that: The comprehensive characterization value of the construction progress in each stage is analyzed under the following specific conditions: oh i =ln[exp(Q i *β1+1)+R i *β2+1]; Where, ω i represents the comprehensive characterization value of the construction progress of stage i, Q i represents the first representative value of building resource consumption in stage i, 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 building resource consumption, and β2 represents the weight factor corresponding to the set second characterization value of the building design progress.

7. A system using the edge computing-based architectural design progress data management method as described in any one of claims 1 to 6, characterized in that: include: The architectural design and planning data analysis module is used to obtain architectural design and planning data, analyze the architectural design and planning data, and obtain architectural design progress comparison data; 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, provide 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.

Images