A building construction quality tracking, analysis and management system based on BIM technology

Abstract

The present invention relates to the technical field of database analysis, and specifically discloses a building construction quality tracking analysis management system based on BIM technology, comprising: an initial module: determining a maintenance period according to maintenance records of building exterior walls within a preset collection period; collecting shedding data within the maintenance period; an analysis module: generating a ratio set according to the shedding area of ​​the building exterior walls in the shedding data; calculating shedding values ​​according to the ratio set and the shedding data, generating coordinate points, and fitting the coordinate points to obtain a fitting curve; a screening module: calculating a risk coefficient according to the coordinate points and the fitting curve, and screening abnormal buildings according to the risk coefficient. The present invention can screen abnormal buildings according to the historical shedding of the building exterior walls, and reduce the cost required for regular maintenance of the exterior walls of all buildings.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis, and in particular to a building construction quality tracking and analysis management system based on BIM technology. Background Art

[0002] BIM is a means of managing the entire life cycle of a building using computer technology. The entire building life cycle is the entire process of a construction project from planning and design to construction, operation and maintenance, and finally demolition.

[0003] Building construction quality refers to the quality standards and levels achieved during the construction process of a building. It covers all aspects from material selection, construction technology to the final product, ensuring that the building can meet the requirements of safety, durability, beauty and functionality. Building exterior wall shedding refers to the phenomenon that the materials of the building's exterior wall, such as tiles, paint, stone or other decorative layers, separate from the wall and fall off. This phenomenon not only affects the beauty of the building, but may also pose a serious threat to the surrounding environment and the safety of personnel.

[0004] In order to avoid the situation where the building exterior wall falls off, the existing technology usually chooses to regularly maintain the exterior wall of the building. Although this method can largely avoid the adverse effects caused by the exterior wall falling off of the building, in actual situations, there are a large number of buildings, and regularly maintaining the exterior walls of all buildings will increase the overall cost. Based on this, a building construction quality tracking and analysis management system based on BIM technology is provided to reduce the cost required for comprehensive maintenance. Summary of the invention

[0005] The purpose of the present invention is to provide a building construction quality tracking analysis management system based on BIM technology to solve the following technical problems:

[0006] In order to avoid the situation where the exterior walls of buildings fall off, the prior art usually chooses to regularly maintain the exterior walls of buildings. Although this method can largely avoid the adverse effects caused by the falling off of the exterior walls of buildings, in actual situations, there are a large number of buildings, and regularly maintaining the exterior walls of all buildings will increase the overall cost.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] A building construction quality tracking, analysis and management system based on BIM technology, including:

[0009] Initial module: obtain the maintenance records of the building exterior wall within the preset collection period, and determine the time point for maintaining the building exterior wall. a ,y a+1] As a maintenance cycle, y a represents the time point of the ath maintenance of the building's exterior wall;

[0010] Collecting the shedding data within the maintenance period, the shedding data includes the number of times the building's exterior wall has fallen off, the area of ​​the building's exterior wall that has fallen off, and the shedding time, and the shedding time is the time interval between the time point when the building's exterior wall has fallen off and the starting point of the maintenance period;

[0011] Analysis module: Generate a proportion set Scsa based on the area of ​​the building's exterior wall falling off jh =(S1 / S tot , S2 / S tot , …, S n / S tot ), S n It represents the area of ​​the building exterior wall that falls off for the nth time during the maintenance period, S tot It represents the total area of ​​the building's exterior walls;

[0012] Calculate the shedding value , T represents the length of the maintenance cycle, T1 represents the shedding time corresponding to the first shedding of the building exterior wall within the maintenance cycle, and generates the coordinate point (i, P i ), P i represents the shedding value corresponding to the ith maintenance cycle, and the coordinate points are fitted to obtain a fitting curve f(t);

[0013] Screening module: Calculate the risk coefficient K according to the coordinate points and the fitting curve, and screen abnormal buildings according to the risk coefficient K.

[0014] As a further solution of the present invention: in the screening module, the process of screening abnormal buildings according to the risk coefficient K specifically includes:

[0015] will be passed (0, P ys ) and a straight line parallel to the x-axis as the reference line, P ys represents a preset drop-off value threshold, and counts the proportion A of the coordinate points above the reference line to the total number of coordinate points;

[0016] The starting point, the end point, the peak point and the valley point on the fitting curve are taken as reference points, and when the fitting curve increases monotonically between two adjacent reference points, it is taken as an abnormal curve g(t);

[0017] The risk factor K is calculated by the following formula:

[0018] ;

[0019] Where ε represents the preset correction coefficient, m represents the total number of the maintenance cycles, J represents the total number of the abnormal curves, and D j represents the outlier value of the jth outlier curve;

[0020] When the risk coefficient K≥K', the corresponding building is regarded as an abnormal building, and K' represents a preset risk coefficient threshold.

[0021] As a further solution of the present invention: the process of calculating the abnormal value specifically includes:

[0022] Determine the jth abnormal curve g j The domain value range of (t) is [t j，sta , t j，end ];

[0023] The outlier value is calculated by the following formula:

[0024] .

[0025] As a further solution of the present invention: in the analysis module, when there is no fall-off value P≥P ys , it is determined that the corresponding building is not an abnormal building.

[0026] As a further solution of the present invention: the analysis module further comprises the following steps:

[0027] Obtaining the monotonicity of the fitting curve;

[0028] When the fitting curve increases monotonically, the corresponding building is determined to be an abnormal building;

[0029] When the fitting curve decreases monotonically, it is determined that the corresponding building is not an abnormal building.

[0030] As a further solution of the present invention: the screening module further comprises the following steps:

[0031] Calculate the average TAVG of the time length of the maintenance cycle, and perform maintenance on the outer wall of the abnormal building based on Lend+TAVG, where Lend represents the time point when the collection cycle ends;

[0032] The buildings that are not abnormal buildings are regarded as normal buildings, and the maintenance period of the normal buildings is calculated as Twx=Tys / K, where Tys represents the preset maintenance period length, and the outer wall of the normal building is maintained at Lend+Twx.

[0033] As a further solution of the present invention: when the maintenance period Twx>3Tys, let Twx≥3Tys.

[0034] As a further solution of the present invention: in the process of calculating the average TAVG, when the difference between the length of the maintenance period H and the average TAVG is greater than a preset difference threshold, the maintenance period H is removed and the average TAVG is calculated again.

[0035] Beneficial effects of the present invention: In the present invention, firstly, the maintenance records within the collection period are obtained, and the maintenance period is determined according to the maintenance records; it can be understood that the first maintenance period is the time period between the starting point of the collection period and the first maintenance of the building exterior wall within the collection period, and the last maintenance period is the time period between the end point of the collection period and the last maintenance of the building exterior wall within the collection period; thereafter, the shedding data within the maintenance period is obtained, which is the basis for subsequent analysis; then, a ratio set is generated according to the shedding area of ​​the building exterior wall; it can be understood that the larger the ratio between the shedding area of ​​the building exterior wall and the total area of ​​the building exterior wall, the more serious the shedding of the exterior wall is, so when the shedding value is subsequently calculated, max (Scsa jh ) as one of the parameters; when T is fixed, the larger T / T1 is, the smaller T1 is, which means that the exterior wall of the building has fallen off more quickly after maintenance, and the falling value reflects the comprehensive falling condition of the exterior wall of the building during the maintenance period, so the falling value should be larger; then, coordinate points are generated and fitted to obtain a fitting curve to reflect the overall falling condition change trend of the exterior wall of the building during the collection period; finally, the risk coefficient is calculated according to the coordinate points and the fitting curve, and abnormal buildings are screened according to the risk coefficient; it is worth noting that the risk coefficient reflects the overall falling condition of the exterior wall of the building during the collection period. By calculating the risk coefficient, it is possible to determine which exterior walls of the building have more serious falling conditions, and use them as abnormal buildings. After distinguishing abnormal buildings from normal buildings, different maintenance strategies are implemented (i.e., maintenance is performed in different periods), thereby reducing the manpower and time costs of regular and comprehensive maintenance of all buildings. The present invention can screen abnormal buildings according to the historical falling condition of the exterior walls of the buildings, and reduce the cost required for regular maintenance of the exterior walls of all buildings. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The present invention will be further described below in conjunction with the accompanying drawings.

[0037] Figure 1 It is a flow chart of a building construction quality tracking and analysis management system based on BIM technology 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] See also Figure 1 As shown, the present invention is a building construction quality tracking analysis management system based on BIM technology, comprising:

[0040] Initial module: obtain the maintenance records of the building exterior wall within the preset collection period, and determine the time point for maintaining the building exterior wall. a ,y a+1 ] As a maintenance cycle, y a represents the time point of the ath maintenance of the building's exterior wall;

[0041] Collecting the shedding data within the maintenance period, the shedding data includes the number of times the building's exterior wall has fallen off, the area of ​​the building's exterior wall that has fallen off, and the shedding time, and the shedding time is the time interval between the time point when the building's exterior wall has fallen off and the starting point of the maintenance period;

[0042] Analysis module: Generate a proportion set Scsa based on the area of ​​the building's exterior wall falling off jh =(S1 / S tot , S2 / S tot , …, S n / S tot ), S n It represents the area of ​​the building exterior wall that falls off for the nth time during the maintenance period, S tot It represents the total area of ​​the building's exterior walls;

[0043] Calculate the shedding value , T represents the length of the maintenance period, T1 represents the shedding time corresponding to the first shedding of the building exterior wall within the maintenance period, and generates the coordinate point (i, P i ), P i represents the shedding value corresponding to the ith maintenance cycle, and the coordinate points are fitted to obtain a fitting curve f(t);

[0044] Screening module: Calculate the risk coefficient K according to the coordinate points and the fitting curve, and screen abnormal buildings according to the risk coefficient K.

[0045] It should be noted that, first, the maintenance records within the collection period are obtained, and the maintenance period is determined based on the maintenance records; it can be understood that the first maintenance period is the time period between the start of the collection period and the first maintenance of the building's exterior wall within the collection period, and the last maintenance period is the time period between the end of the collection period and the last maintenance of the building's exterior wall within the collection period; after that, the shedding data within the maintenance period is obtained, which is the basis for subsequent analysis; then, a ratio set is generated based on the shedding area of ​​the building's exterior wall; it can be understood that the larger the ratio between the shedding area of ​​the building's exterior wall and the total area of ​​the building's exterior wall, the more serious the shedding of the exterior wall is, so when calculating the shedding value later, max (Scsa jh ) as one of the parameters; when T is fixed, the larger the T / T1 is, the smaller the T1 is, which means that the exterior wall of the building has fallen off faster after maintenance, and the falling value reflects the comprehensive falling condition of the exterior wall of the building during the maintenance period, so the falling value should be larger; then, the coordinate points are generated and fitted to obtain the fitting curve to reflect the overall falling condition of the exterior wall of the building during the collection period; finally, the risk coefficient is calculated according to the coordinate points and the fitting curve, and the abnormal buildings are screened according to the risk coefficient; it is worth noting that the risk coefficient reflects the overall falling condition of the exterior wall of the building during the collection period. By calculating the risk coefficient, it is possible to determine which buildings have more serious falling conditions on their exterior walls and regard them as abnormal buildings. After distinguishing abnormal buildings from normal buildings, different maintenance strategies are implemented (i.e., maintenance is performed at different periods), thereby reducing the manpower and time costs of regular and comprehensive maintenance of all buildings.

[0046] In another preferred embodiment of the present invention, in the screening module, the process of screening abnormal buildings according to the risk coefficient K specifically includes:

[0047] will be passed (0, P ys ) and a straight line parallel to the x-axis as the reference line, P ys represents a preset drop-off value threshold, and counts the proportion A of the coordinate points above the reference line to the total number of coordinate points;

[0048] The starting point, the end point, the peak point and the valley point on the fitting curve are taken as reference points, and when the fitting curve increases monotonically between two adjacent reference points, it is taken as an abnormal curve g(t);

[0049] The risk factor K is calculated by the following formula:

[0050] ;

[0051] Where ε represents the preset correction coefficient, m represents the total number of the maintenance cycles, J represents the total number of the abnormal curves, and D jrepresents the outlier value of the jth outlier curve;

[0052] When the risk coefficient K≥K', the corresponding building is regarded as an abnormal building, and K' represents a preset risk coefficient threshold.

[0053] It is worth noting that the larger A is, the more coordinate points are above the reference line, that is, the more maintenance cycles the shedding values ​​exceed the range, which means that the shedding of the exterior wall of the building is more serious during the collection period, and the risk coefficient K should be larger. The relationship between the remaining parameters and the risk coefficient K can refer to the above ideas and will not be elaborated here.

[0054] In another preferred embodiment of the present invention, the process of calculating the outlier value specifically includes:

[0055] Determine the jth abnormal curve g j The domain value range of (t) is [t j，sta , t j，end ];

[0056] The outlier value is calculated by the following formula:

[0057] .

[0058] It can be understood that when the fitting curve between two adjacent reference points increases monotonically, it means that the external wall shedding is gradually getting worse between two adjacent maintenance weeks, so it is regarded as an abnormal curve; the calculated abnormal value is used to quantify the degree of abnormality of the abnormal curve. The greater the degree of abnormality, the greater the risk factor.

[0059] In another preferred embodiment of the present invention, in the analysis module, when there is no dropout value P ≥ P ys , it is determined that the corresponding building is not an abnormal building.

[0060] It should be noted that if the shedding value P of a building in all maintenance cycles is less than P ys , which means that the peeling condition of the building's exterior wall is always within an acceptable range, indicating that the maintenance effect of the building's exterior wall is good, or the peeling of the exterior wall is not serious. Therefore, it can be reasonably determined that the building is not an abnormal building to avoid misjudgment.

[0061] In another preferred embodiment of the present invention, the analysis module further comprises the following steps:

[0062] Obtaining the monotonicity of the fitting curve;

[0063] When the fitting curve increases monotonically, the corresponding building is determined to be an abnormal building;

[0064] When the fitting curve decreases monotonically, it is determined that the corresponding building is not an abnormal building.

[0065] It should be noted that if the fitting curve is monotonically increasing, it means that the shedding of the building's exterior wall is becoming more and more serious over time, indicating that the maintenance effect may be poor, or the condition of the building's exterior wall continues to deteriorate. Therefore, the building is directly marked as an abnormal building, thereby triggering more active maintenance or repair actions; if the fitting curve is monotonically decreasing, this indicates that the shedding situation is getting better over time, which means that the maintenance measures are effective and the condition of the building's exterior wall is improving. Such judgments can help identify which buildings do not require additional attention, thereby further optimizing the allocation of resources.

[0066] In another preferred embodiment of the present invention, the screening module further comprises the following steps:

[0067] Calculate the average TAVG of the time length of the maintenance cycle, and perform maintenance on the outer wall of the abnormal building based on Lend+TAVG, where Lend represents the time point when the collection cycle ends;

[0068] The buildings that are not abnormal buildings are regarded as normal buildings, and the maintenance period of the normal buildings is calculated as Twx=Tys / K, where Tys represents the preset maintenance period length, and the outer wall of the normal building is maintained at Lend+Twx.

[0069] It is understandable that abnormal buildings often have a higher risk of exterior wall falling off, so they need more frequent and timely maintenance, and TAVG is the average length of all maintenance cycles, reflecting the average maintenance cycle within the collection period, ensuring that these buildings are maintained within a reasonable time to prevent further deterioration of the building exterior walls; the exterior wall condition of normal buildings is relatively stable and does not require as frequent maintenance as abnormal buildings; therefore, setting a longer maintenance cycle can effectively save resources while ensuring that the exterior walls are adequately maintained;

[0070] By distinguishing abnormal buildings from normal buildings and setting different maintenance cycles according to their conditions, the allocation of maintenance resources can be optimized. Abnormal buildings are maintained more promptly, while normal buildings are maintained over a longer period, which can maximize the use of human and financial resources and save human and time costs.

[0071] In another preferred embodiment of the present invention, when the maintenance period Twx>3Tys, Twx≥3Tys.

[0072] It is worth noting that this is to avoid excessively extending the maintenance cycle, thereby ensuring that the building is maintained within a reasonable period of time. Although some buildings may perform well for a period of time, unpredictable factors such as external environmental factors and material aging may still lead to the sudden emergence of exterior wall problems. Setting an upper limit cycle can prevent these risks to a certain extent.

[0073] In another preferred embodiment of the present invention, during the calculation of the average TAVG, when the difference between the length of the maintenance period H and the average TAVG is greater than a preset difference threshold, the maintenance period H is removed and the average TAVG is calculated again.

[0074] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A building construction quality tracking and analysis management system based on BIM technology, characterized in that: include: Initial module: obtain the maintenance records of the building exterior wall within the preset collection period, and determine the time point for maintaining the building exterior wall. a ,y a+1 ] As a maintenance cycle, y a represents the time point of the ath maintenance of the building's exterior wall; Collecting the shedding data within the maintenance period, the shedding data includes the number of times the building's exterior wall has fallen off, the area of ​​the building's exterior wall that has fallen off, and the shedding time, and the shedding time is the time interval between the time point when the building's exterior wall has fallen off and the starting point of the maintenance period; Analysis module: Generate a proportion set Scsa based on the area of ​​the building's exterior wall falling off jh =(S1 / S tot , S2 / S tot , …, S n / S tot ), S n It represents the area of ​​the building exterior wall that falls off for the nth time during the maintenance period, S tot It represents the total area of ​​the building's exterior walls; Calculate the shedding value , T represents the length of the maintenance cycle, T1 represents the shedding time corresponding to the first shedding of the building exterior wall within the maintenance cycle, and generates the coordinate point (i, P i ), P i represents the shedding value corresponding to the ith maintenance cycle, and the coordinate points are fitted to obtain a fitting curve f(t); Screening module: calculating the risk coefficient K according to the coordinate points and the fitting curve, and screening abnormal buildings according to the risk coefficient K; In the screening module, the process of screening abnormal buildings according to the risk coefficient K specifically includes: will be passed (0, P ys ) and a straight line parallel to the x-axis as the reference line, P ys represents a preset drop-off value threshold, and counts the proportion A of the coordinate points above the reference line to the total number of coordinate points; The starting point, the end point, the peak point and the valley point on the fitting curve are taken as reference points, and when the fitting curve increases monotonically between two adjacent reference points, it is taken as an abnormal curve g(t); The risk factor K is calculated by the following formula: ； Where ε represents the preset correction coefficient, m represents the total number of the maintenance cycles, J represents the total number of the abnormal curves, and D j represents the outlier value of the jth outlier curve; When the risk coefficient K≥K', the corresponding building is regarded as an abnormal building, and K' represents a preset risk coefficient threshold; The process of calculating the outlier value specifically includes: Determine the jth abnormal curve g j The domain value range of (t) is [t j，sta , t j，end ]; The outlier value is calculated by the following formula: 。 2. The building construction quality tracking analysis management system based on BIM technology according to claim 1 is characterized in that: In the analysis module, when there is no dropout value P ≥ P ys , it is determined that the corresponding building is not an abnormal building.

3. The building construction quality tracking analysis and management system based on BIM technology according to claim 1 is characterized in that: The analysis module further comprises the following steps: Obtaining the monotonicity of the fitting curve; When the fitting curve increases monotonically, the corresponding building is determined to be an abnormal building; When the fitting curve decreases monotonically, it is determined that the corresponding building is not an abnormal building.

4. The building construction quality tracking analysis and management system based on BIM technology according to claim 1 is characterized in that: The screening module further comprises the following steps: Calculate the average TAVG of the time length of the maintenance cycle, and perform maintenance on the outer wall of the abnormal building based on Lend+TAVG, where Lend represents the time point when the collection cycle ends; The buildings that are not abnormal buildings are regarded as normal buildings, and the maintenance period of the normal buildings is calculated as Twx=Tys / K, where Tys represents the preset maintenance period length, and the outer wall of the normal building is maintained at Lend+Twx.

5. The building construction quality tracking analysis and management system based on BIM technology according to claim 4 is characterized in that: When the maintenance period Twx>3Tys, let Twx≥3Tys.

6. The building construction quality tracking analysis and management system based on BIM technology according to claim 4 is characterized in that: In the process of calculating the average value TAVG, when the difference between the length of the maintenance period H and the average value TAVG is greater than a preset difference threshold, the maintenance period H is removed and the average value TAVG is calculated again.

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