Dynamic management system for building construction progress

By designing a dynamic management system for construction progress and using multi-dimensional acquisition, area analysis and dynamic management modules, the problem of traditional systems lacking real-time monitoring and flexibility is solved, efficient construction progress management and resource allocation are achieved, and the overall management level of construction projects is improved.

CN120106413APending Publication Date: 2025-06-06MIDDLE EAST HLDG GRP RESOURCE TECH CO LTD
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Patent Information

Application Number
CN202411895850.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-20
Publication Date
2025-06-06

AI Technical Summary

Technical Problem

Traditional building construction progress dynamic management systems lack real-time monitoring capabilities and flexibility, and it is difficult to detect labor shortages in high altitude operations in a timely manner, resulting in uneven resource allocation and delays in construction periods, making it difficult to achieve global optimization.

Method used

A dynamic management system for construction progress is designed, including multi-dimensional acquisition module, area analysis module and dynamic management module. Connect to the big data platform through the network, obtain construction plan, progress data and environmental data, analyze the grassroots quality score, construction team matching coefficient and environmental interference coefficient, dynamically allocate construction teams and resources, identify potential environmental risks and take corresponding measures.

Benefits of technology

It has achieved timely and effective comprehensive monitoring and excellent dynamic allocation capabilities, and can promptly detect labor shortages in high-altitude operations, optimize resource allocation, reduce construction period delays, and improve project management level.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to the technical field of building construction progress management, and discloses a building construction progress dynamic management system, which comprises a multi-dimensional acquisition module, a regional analysis module and a dynamic management module. According to the dynamic management system for the building construction progress, a construction scheme, progress data and environment data of a building are acquired through a multi-dimensional acquisition module and are classified to form a data set, a regional analysis module analyzes a base layer quality score of each facade and forms a construction plan list, the facade with the lower score and a wall surface foundation are worse, construction needs to be preferentially carried out, and construction efficiency is improved. The regional analysis module analyzes the matching coefficient of each construction team and generates a matching list, the construction team with the higher matching coefficient has the higher credibility and the lower risk of causing delay, the regional analysis module analyzes the interference degree of various environmental factors on the construction progress and generates corresponding interference coefficients, comprehensive monitoring is timely, the effectiveness is high, and the reliability is high. And the dynamic management module identifies and takes corresponding dynamic management measures, so that the dynamic deployment capability is good.
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Description

Technical Field

[0001] The invention relates to the technical field of building construction progress management, and in particular to a building construction progress dynamic management system. Background Art

[0002] The outer surface of a building is usually called the facade, which is not only directly related to the aesthetics of the building, but also involves the functionality and durability of the building. The construction process of the building facade usually includes multiple processes such as base treatment, waterproofing, insulation construction, finishing layer construction, cleaning and maintenance. Before construction, it is necessary to first clean the base of the exterior wall to remove dust and debris on the surface. Then, repair defects such as cracks, holes and hollows on the base to ensure that the base is flat and dense. According to the design requirements, evenly apply waterproof paint to ensure that the coating is completely covered. Then, the insulation material is firmly attached to the wall by bonding or mechanical fixing. After the paint is completely dry, select suitable decorative materials for finishing layer construction. After completing the decorative layer, the exterior wall should be cleaned to remove stains and paint residues generated during the construction process to ensure that the exterior wall surface is clean and tidy. Finally, check whether the exterior wall surface is flat, whether the decorative layer is uniform, whether the joints are well sealed, and whether the waterproof layer and insulation layer are intact. After the exterior wall decoration materials are completed, they still need to be maintained, especially for coatings and stone materials. They should avoid being exposed to sunlight and rain too early to avoid surface damage. In the actual construction process, ensuring the flatness of the base between each process is a key link to ensure the quality of the project. The flatness of the base directly affects the effect of subsequent construction, especially in the construction of exterior wall waterproofing, thermal insulation and decoration. A flat base can ensure the adhesion and effect of coatings, thermal insulation materials and decorative materials, thereby avoiding leakage, falling off, cracking and other problems.

[0003] During the facade construction process, factors such as wall foundation, construction sequence, construction workers' work efficiency, weather conditions, etc. will affect the construction progress. The traditional building construction progress dynamic management system lacks real-time monitoring capabilities and flexibility, and it is often difficult to detect the shortage of manpower for high-altitude operations in a timely manner, resulting in uneven resource allocation and construction delays, making it difficult to achieve overall optimization. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In view of the shortcomings of the existing technology, the present invention provides a dynamic management system for construction progress, which has the advantages of comprehensive monitoring, timely effectiveness, good dynamic allocation ability, etc., and solves the problem that traditional dynamic management systems for construction progress lack real-time monitoring capabilities and are difficult to achieve global optimization.

[0006] (II) Technical solution

[0007] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a dynamic management system for construction progress, comprising a multi-dimensional acquisition module, a regional analysis module and a dynamic management module;

[0008] The multi-dimensional acquisition module is connected to the big data platform through the network to obtain the construction plan, construction progress data and construction environment data of the building, and classifies them into a plan data set, a construction data set and an environment data set;

[0009] The regional analysis module divides N facades according to the number of buildings based on the scheme data set, and then analyzes the base quality score Jcf of each facade in combination with the construction data set, and forms a construction plan list SJ. The regional analysis module analyzes the proportion of workers with high-altitude work permits BL in each construction team and the total number of workers with high-altitude work permits and free time GK based on the scheme data set, and generates corresponding matching coefficients Pixs and matching lists PQ. The regional analysis module analyzes the interference degree of various environmental factors on the construction progress based on the environmental data set, and generates corresponding interference coefficients Grxs;

[0010] The dynamic management module selects a construction team to repair the base defects of the facade according to the construction plan list SJ and the matching list PQ. The dynamic management module is set with a fixed range of interference threshold GY, combined with the interference coefficient Grxs, to identify potential environmental risks during the construction process and take corresponding dynamic management measures.

[0011] Preferably, the scheme data set includes the number of buildings, facade area and a list of construction teams;

[0012] The construction data set includes the total number of base defects, base defect types, base defect area, base defect depth, base defect surface intensity and historical high-altitude work tickets, wherein the types of base defects include cracks, falling off, mold and water stains;

[0013] The environmental data set includes wind speed value, solar radiation intensity, temperature, humidity and PM2.5 concentration.

[0014] Preferably, the calculation process of the base quality score Jcf is as follows:

[0015] S11. According to the scheme data set, the facade area of ​​the i-th facade is marked as WM i , i∈N, and then according to the construction data set, the total number of base defects of the i-th facade is marked as Z;

[0016] S12. Calculate the distribution density JF of the defects of the base layer of the i-th facade i , and its calculation formula is as follows:

[0017]

[0018] S13. According to the construction data set, the base defect area in the ith facade is marked as {m1, m2, m3, ..., mZ}, where m1 to mZ are the areas of the first to Zth base defects in the ith facade, respectively; the depth of the base defect in the ith facade is marked as {s1, s2, s3, ..., sZ}, where s1 to sZ are the depths of the first to Zth base defects in the ith facade, respectively; the surface strength of the base defect in the ith facade is marked as {q1, q2, q3, ..., qZ}, where q1 to qZ are the surface strengths of the first to Zth base defects in the ith facade, respectively;

[0019] S14, setting a fixed range of area threshold MY, depth threshold SY and intensity threshold QY, and then judging the damage level of the facade base defect in combination with the base defect area, base defect depth and base defect surface intensity in the i-th facade;

[0020] The number of defects CM whose base defect area exceeds the area threshold MY in m1 to mS is counted, CM∈Z. If the number of defects CM whose base defect area exceeds the area threshold MY is ≥ 5% of the total number Z of base defects on the i-th facade, it means that the expansion trend of base defects is unstable, and the first damage level is generated. If the number of defects CM whose base defect area exceeds the area threshold MY is < 5% of the total number Z of base defects on the i-th facade, it means that the expansion trend of base defects is stable, and the second damage level is generated.

[0021] If the depth of any base defect among s1 to sZ exceeds the depth threshold SY, it means that there is a deep crack that affects the structural strength, and the first damage level is generated; if the depth of all base defects among s1 to sZ does not exceed the depth threshold SY, it means that there is no deep crack that affects the structural strength, and the second damage level is generated;

[0022] If the surface intensity of any base defect from q1 to qZ is lower than the intensity threshold QY, it means that the i-th facade has chalking phenomenon, and the first damage level is generated. If the surface intensity of all base defects from q1 to qZ is included in the intensity threshold QY, it means that the i-th facade does not have chalking phenomenon, and the second damage level is generated.

[0023] The first injury level is more severe than the second injury level;

[0024] S15. Calculate the base quality score Jcf of the i-th facade, and the calculation formula is as follows:

[0025] Jcf=C-α 1 ×JF i -α 2×CM-α 3 ×maxs-α 4 ×minq

[0026] In the formula, C represents the basic score, α 1 represents the evaluation weight for the base defect distribution density, α 2 represents the evaluation weight for the number of defects exceeding the area threshold, maxs represents the maximum value of the base defect depth in the i-th facade, α 3 represents the evaluation weight for the maximum value of the base defect depth, minq represents the minimum value of the surface strength of the base defect in the i-th facade, α 4 represents the evaluation weight for the minimum surface strength of the base layer defect, α 1 +α 2 +α 3 +α 4 =1, C-α 1 ×JF i -α 2 ×CM-α 3 ×maxs-α 4 ×minq means according to α 1 , α 2 , α 3 and α 4 The base quality score of the i-th facade is obtained by weighting the comprehensive basic score, base defect distribution density, number of defects exceeding the area threshold, maximum base defect depth and minimum base defect surface intensity.

[0027] Preferably, the regional analysis module arranges the facades from low to high according to the base quality score Jcf, and forms a construction plan list SJ. In the construction plan list SJ, if there are two facades with equal base quality scores Jcf, the facade with the first damage level is prioritized.

[0028] Preferably, the matching coefficient Pixs calculation process is as follows:

[0029] S21. According to the list of construction teams in the solution data set, mark the personnel information of all construction teams as {D1 r 、D2 r 、D3 r 、...、Du r}, D1 r To Du r are the personnel information of the first to uth construction teams respectively, and r represents the total number of personnel in each construction team;

[0030] S22. Extract the personnel information of the kth construction team, count the number of workers with high-altitude operation certificates in the kth construction team, and mark them as j. Then calculate the proportion of workers with high-altitude operation certificates in the kth construction team. k , and its calculation formula is as follows:

[0031]

[0032] In the formula, k r represents the total number of personnel in the k-th construction team;

[0033] S23. According to the personnel information of the kth construction team, the validity period of the workers' high-altitude work permit is counted and marked as {k1 t , k2 t 、k3 t 、...、kj t},k1 t To kj t are the first to jth workers with high-altitude work permits, respectively, and t represents the validity period of a single worker’s high-altitude work permit;

[0034] S24. Calculate the average effective time t of the high-altitude operation permit for the kth group of construction team workers, and the calculation formula is as follows:

[0035]

[0036] S25. According to the historical high-altitude operation tickets in the construction data set, the working hours of the workers with high-altitude operation certificates in the k-th construction team are counted, and then it is determined whether the workers have free time.

[0037] If a worker in the kth construction team holds a high-altitude work permit for more than 3 days, or the continuous working time exceeds 24 hours, the worker has no free time;

[0038] S26. According to S25, count the total number of workers in the k-th construction team who have both high-altitude work permits and free time, marked as GK k ;

[0039] S27, according to the proportion of workers with high-altitude work permits BL k , the average effective time of workers' high-altitude work permits t and the total number of workers with both high-altitude work permits and free time slots GK k , calculate the matching coefficient Pixs of the kth group of construction teams k , and its calculation formula is as follows:

[0040]

[0041] In the formula, β 1 represents the evaluation weight for the proportion of workers, β2 represents the evaluation weight for the average effective time of the worker's high-altitude work permit, β 3 represents the evaluation weight for the total number of workers, β 1 + According to β 1 , β 2 and β 3 The weight is calculated by combining the proportion of workers, the average validity period of workers’ high-altitude work permits and the total number of workers to obtain the matching coefficient of the kth group of construction teams.

[0042] Preferably, the regional analysis module arranges the construction teams from high to low according to the matching coefficient Pixs, and forms a matching list PQ. In the matching list PQ, if there are two groups of construction teams with equal matching coefficients Pixs, the group with the larger total number of workers who have both high-altitude work certificates and available schedules is prioritized.

[0043] Preferably, the interference coefficient Grxs calculation process is as follows:

[0044] S31. According to the environmental data set, the wind speed value at the current time point is marked as Fs, the solar radiation intensity at the current time point is marked as Tf, the temperature at the current time point is marked as Wd, the humidity at the current time point is marked as Sd, and the PM2.5 concentration at the current time point is marked as Pm;

[0045] S32. Calculate the wind pressure value Fy at the current time point according to the wind speed value Fs and temperature Wd at the current time point. The calculation formula is as follows:

[0046] Fy=0.5×(μ×Wd)×Fs 2

[0047] In the formula, μ represents the conversion coefficient, and μ×Wd represents the air density at the current time point converted according to the temperature at the current time point;

[0048] S33. Calculate the water evaporation rate Zf at the current time point according to the solar radiation intensity Tf, temperature Wd and humidity Sd at the current time point. The calculation formula is as follows:

[0049]

[0050] In the formula, λ represents the heat required for evaporation of unit mass of water, BW represents the reference temperature, It represents the ratio of the current temperature to the reference temperature, which is used to indicate the influence of temperature on the evaporation rate of water. σ represents the attenuation coefficient. σ×Sd represents the conversion of the humidity at the current time point into an attenuation value, which is used to indicate the influence of humidity on the evaporation rate of water.

[0051] S34. Calculate the particle settling velocity Cv at the current time point according to the temperature Wd and PM2.5 concentration Pm at the current time point. The calculation formula is as follows:

[0052]

[0053] In the formula, represents the particle radius, φ represents the conversion coefficient, φ×Pm represents the particle density at the current time point converted according to the PM2.5 concentration at the current time point, φ×Pm-μ×Wd represents the difference between the particle density and the air density at the current time point, g represents the gravitational acceleration, θ represents the conversion coefficient, θ×Wd represents the dynamic viscosity of the air at the current time point converted according to the temperature at the current time point, It means that according to Stokes' law, the particle settling velocity at the current time point is obtained;

[0054] S35. Calculate the interference coefficient Grxs at the current time point according to the wind pressure value Fy, the water evaporation rate Zf and the particle settling velocity Cv. The calculation formula is as follows:

[0055] Grxs=ω 1 ×Fy+ω 2 ×Zf+ω 3 ×Cv

[0056] In the formula, ω 1 represents the evaluation weight for wind pressure value, ω 2 represents the evaluation weight for the water evaporation rate, ω 3 represents the evaluation weight for particle settling velocity, ω 1 +ω 2 +ω 3 =1,ω 1 ×Fy+ω 2 ×Zf+ω 3 ×Cv means according to ω 1 ,ω 2 and ω 3 The weight is used to combine the wind pressure value, water evaporation rate and particle settling velocity to obtain the interference coefficient at the current time point.

[0057] Preferably, the dynamic management module preferentially screens the construction team ranked first according to the matching list PQ, and then preferentially repairs the facade ranked first according to the construction plan list SJ. When repairing a single facade base defect, priority is given to repairing the base defect area that exceeds the area threshold MY and the base defect depth that exceeds the depth threshold SY.

[0058] Preferably, when the interference coefficient Grxs exceeds the interference threshold GY, it indicates that the abnormal wind pressure value causes the risk of peeling of the base coating, the abnormal water evaporation rate causes the risk of cracking of the base coating, and the abnormal PM2.5 particle settling velocity causes the risk of decreased adhesion of the base coating, and a corresponding first interference signal is generated. The dynamic management module shortens the high-altitude operation time of the construction team by 1-2 hours based on the first interference signal, and only repairs the part of the current facade base defect area that does not exceed the area threshold MY and the base defect depth that does not exceed the depth threshold SY.

[0059] Preferably, when the interference coefficient Grxs is lower than the interference threshold GY, it indicates that the abnormal water evaporation rate causes the risk of bulging of the base coating, and a corresponding second interference signal is generated. The priority of the first interference signal is higher than the second interference signal. The dynamic management module increases the high-altitude working time of the construction team by 1-2 hours based on the second interference signal, and repairs the base defects of the current facade in small amounts and multiple times.

[0060] Compared with the prior art, the present invention provides a dynamic management system for construction progress, which has the following beneficial effects:

[0061] 1. The present invention uses a multi-dimensional acquisition module to connect to a big data platform through a network to obtain a building's construction plan, construction progress data, and construction environment data, and classifies and forms a data set. The regional analysis module divides N facades according to the number of buildings, and then combines the construction data set to analyze the base quality score Jcf of each facade, and forms a construction plan list SJ. The facade with a lower base quality score Jcf has a worse wall foundation, and a longer construction period is required for repair, so it is more necessary to give priority to construction. The regional analysis module analyzes the proportion of workers with high-altitude work permits BL in each construction team, as well as the total number of workers GK who have both high-altitude work permits and spare time, generates corresponding matching coefficients Pixs and matching lists PQ, and evaluates the adaptability of the construction team according to a unified standard. The construction team with a higher matching coefficient has a higher trust, stronger ability and flexibility, can complete the construction task more efficiently, and has a lower risk of delaying the construction progress. The regional analysis module analyzes the degree of interference of various environmental factors on the construction progress, generates a corresponding interference coefficient Grxs, and has comprehensive monitoring, which is timely and effective.

[0062] 2. The present invention identifies potential environmental risks during the construction process through a dynamic management module and takes corresponding dynamic management measures. It arranges the construction sequence reasonably according to the defects of the facade base, promptly discovers the shortage of manpower in high-altitude operations, and replaces the construction team as quickly as possible. This not only protects the health, safety and construction quality of the workers, but also reduces environmental pollution, optimizes the work progress, and improves the overall management level of the project. In practical applications, it effectively reduces environmental risks and ensures that the construction project can proceed smoothly in a more controllable and efficient environment, with good dynamic deployment capabilities. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 It is a schematic diagram of the system flow of the present invention. DETAILED DESCRIPTION

[0064] 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.

[0065] Example 1

[0066] See also Figure 1 ,The present invention provides a dynamic management system for construction progress, including a multi-dimensional acquisition module, a regional analysis module and a dynamic management module;

[0067] The multi-dimensional acquisition module connects to the big data platform through the network to obtain the construction plan, construction progress data and construction environment data of the building, and classifies them into plan data set, construction data set and environment data set;

[0068] The solution data set includes the number of buildings, facade area, and construction team list. The number of buildings directly corresponds to the number of facades. The collection of facade area provides data support for the subsequent analysis of base defects, and the collection of construction team list provides a data list for the subsequent dynamic allocation of resources.

[0069] The construction data set includes the total number of base defects, base defect types, base defect area, base defect depth, base defect surface strength, and historical high-altitude work tickets. The types of base defects include cracks, peeling, mildew, and water stains. Base cracks need to be polished, cleaned, and repaired, and the peeled parts need to be re-bonded or replaced. Mildew and water stains are often related to water seepage or moisture. Surface strength usually refers to the ability of the building facade to withstand external forces, especially the resistance to damage or deformation under external forces. If these defects are not dealt with in a timely manner, wall materials such as paint, tiles, and stones may not be properly attached. High-altitude work tickets record in detail the start time, end time, work content, and participants of various types of high-altitude operations, reflecting the actual situation of the construction progress;

[0070] Environmental data sets include wind speed values, solar radiation intensity, temperature, humidity, and PM2.5 concentration. Excessive wind speed may pose a threat to construction safety, especially when working at height. Strong winds will increase the risk of workers working at height, and will also affect the drying process of facade construction materials such as paint and decorative materials, resulting in an extension of the construction period. Excessive sunlight exposure may cause problems such as cracks and fading in the base coating. High temperatures may cause paint, concrete and other construction materials to dry too quickly. When the humidity is high, the curing time of construction materials such as cement, concrete, and paint will be extended. High concentrations of PM2.5 will directly affect the visibility and air quality of the construction site, and the accumulation of dust will also affect the adhesion and quality of the base coating.

[0071] The regional analysis module divides N facades according to the number of buildings based on the scheme data set. Specifically, the number of facades is four times the number of buildings. Combined with the construction data set, the base quality score Jcf of each facade is analyzed and a construction plan list SJ is formed. The facade with a lower base quality score Jcf has a worse wall foundation, and the repair requires a longer construction period, so it is more necessary to prioritize the construction. The regional analysis module analyzes the proportion of workers with high-altitude work permits BL in each construction team and the total number of workers with high-altitude work permits and free time GK based on the scheme data set, generates the corresponding matching coefficient Pixs and matching list PQ, dynamically matches the optimally configured construction team, and avoids the problem of shortage of manpower for high-altitude operations. The regional analysis module analyzes the degree of interference of various environmental factors on the construction progress based on the environmental data set, and generates the corresponding interference coefficient Grxs, real-time monitoring of whether the environmental conditions meet the construction standards, ensuring the safety of the construction workers and the construction quality of the building facades.

[0072] The dynamic management module selects a construction team to repair the base defects of the facade according to the construction plan list SJ and the matching list PQ. The dynamic management module is set with a fixed range of interference threshold GY, combined with the interference coefficient Grxs, to identify potential environmental risks during the construction process, and take corresponding dynamic management measures to flexibly allocate human resources, effectively avoiding construction delays.

[0073] In this embodiment, the multi-dimensional acquisition module obtains the construction plan, construction progress data and construction environment data of the building through the big data platform, and comprehensively collects static data and dynamic data, providing data support for the subsequent evaluation of the priority of the facade construction. The regional analysis module analyzes the base quality score Jcf of each facade, forms a construction plan list SJ, and then analyzes the proportion of workers with high-altitude work permits BL in each construction team, as well as the total number of workers with high-altitude work permits and free time GK, generates corresponding matching coefficients Pixs and matching lists PQ, and analyzes the degree of interference of various environmental factors on the construction progress, generates corresponding interference coefficients Grxs, comprehensively monitors the changing trend of dynamic data, and the degree of interference with the construction progress, arranges the construction sequence reasonably according to the defects of the facade base, promptly discovers the shortage of manpower for high-altitude operations, and replaces the construction team as quickly as possible. The dynamic management module identifies potential environmental risks during the construction process and takes corresponding dynamic management measures, achieving global optimization and good dynamic allocation capabilities.

[0074] Example 2

[0075] Please refer to Table 1. This embodiment is an explanation based on Example 1. Specifically, the calculation process of the base quality score Jcf is as follows:

[0076] S11. According to the scheme data set, the facade area of ​​the i-th facade is marked as WM i , i∈N, and then according to the construction data set, the total number of base defects of the i-th facade is marked as Z;

[0077] S12. Calculate the distribution density JF of the defects of the base layer of the i-th facade i , and its calculation formula is as follows:

[0078]

[0079] Distribution density JF i The larger the value, the more serious the defects of the facade base layer are, and the more priority should be given to construction;

[0080] S13. According to the construction data set, the base defect area in the ith facade is marked as {m1, m2, m3, ..., mZ}, where m1 to mZ are the areas of the first to Zth base defects in the ith facade, respectively; the depth of the base defect in the ith facade is marked as {s1, s2, s3, ..., sZ}, where s1 to sZ are the depths of the first to Zth base defects in the ith facade, respectively; the surface strength of the base defect in the ith facade is marked as {q1, q2, q3, ..., qZ}, where q1 to qZ are the surface strengths of the first to Zth base defects in the ith facade, respectively;

[0081] S14, setting a fixed range of area threshold MY, depth threshold SY and intensity threshold QY, and then judging the damage level of the facade base defect in combination with the base defect area, base defect depth and base defect surface intensity in the i-th facade;

[0082] The number of defects CM whose base defect area exceeds the area threshold MY in m1 to mS is counted, CM∈Z. If the number of defects CM whose base defect area exceeds the area threshold MY is ≥ 5% of the total number Z of base defects on the i-th facade, it means that the expansion trend of base defects is unstable, and the first damage level is generated. If the number of defects CM whose base defect area exceeds the area threshold MY is < 5% of the total number Z of base defects on the i-th facade, it means that the expansion trend of base defects is stable, and the second damage level is generated.

[0083] If the depth of any base defect among s1 to sZ exceeds the depth threshold SY, it means that there is a deep crack that affects the structural strength, and the first damage level is generated; if the depth of all base defects among s1 to sZ does not exceed the depth threshold SY, it means that there is no deep crack that affects the structural strength, and the second damage level is generated;

[0084] If the surface strength of any base defect from q1 to qZ is lower than the strength threshold QY, it means that the i-th facade has a powdering phenomenon. When the indentation test is performed on the surface of the base defect, the smaller the pressure that the facade can withstand, the more serious the powdering phenomenon is. The facade will fall apart when touched, and the first damage level is generated. If the surface strength of all base defects from q1 to qZ is included in the strength threshold QY, it means that the i-th facade does not have a powdering phenomenon, and the second damage level is generated.

[0085] The severity of the first damage level is higher than that of the second damage level. The base defects of the facades of the first damage level are the most serious and need to be repaired first;

[0086] S15. Calculate the base quality score Jcf of the i-th facade, and the calculation formula is as follows:

[0087] Jcf=C-α 1 ×JF i -α 2 ×CM-α 3 ×maxs-α 4 ×minq

[0088] In the formula, C represents the basic score, α 1 represents the evaluation weight for the base defect distribution density, α 2 represents the evaluation weight for the number of defects exceeding the area threshold, maxs represents the maximum value of the base defect depth in the i-th facade, α 3 represents the evaluation weight for the maximum value of the base defect depth, minq represents the minimum value of the surface strength of the base defect in the i-th facade, α 4 represents the evaluation weight for the minimum surface strength of the base layer defect, α 1 +α 2 +α 3 +α 4 =1, C-α 1 ×JF i -α 2 ×CM-α 3 ×maxs-α 4 ×minq means according to α 1 , α 2 , α 3 and α 4 Weight, comprehensive foundation score, base defect distribution density, number of defects exceeding area threshold, maximum base defect depth and minimum base defect surface intensity, to obtain the base quality score of the i-th facade, which is used to arrange the construction sequence;

[0089] Specifically, in Table 1, the area threshold MY is set to 4m 2 , the depth threshold SY is set to 0.5m, and the strength threshold QY is set to 0.5N / m 2 , the basic quality score Jcf is 80 points, α 1 =0.3,α 2 =0.25,α 3 =0.2,α 4 =0.25;

[0090]

[0091]

[0092] Table 1

[0093] The regional analysis module arranges the facades from low to high according to the base quality score Jcf, and forms a construction plan list SJ. In the construction plan list SJ, if the base quality scores Jcf of two facades are equal, the facade with the first damage level is prioritized. Therefore, in Table 1, facade 2 takes precedence over facade 1, and facade 1 takes precedence over facade 3;

[0094] In this embodiment, through the classification of damage levels, the facades with more serious base defects, such as deep cracks or unstable defect expansion trends, are given priority to prevent the problem from further deteriorating. This can avoid higher later repair costs or structural safety hazards caused by ignoring serious problems. The base defects of the facade are then evaluated through a unified scoring mechanism, and the construction sequence is reasonably arranged based on the base quality score Jcf. Since the subsequent construction team focuses on solving the most serious parts of the problem, the construction efficiency is improved, ensuring the optimal use of resources and maximization of construction effects.

[0095] Example 3

[0096] Please refer to Table 2. This embodiment is an explanation based on Embodiment 2. Specifically, the calculation process of the matching coefficient Pixs is as follows:

[0097] S21. According to the list of construction teams in the solution data set, mark the personnel information of all construction teams as {D1 r 、D2 r 、D3 r 、...、Du r}, D1 r To Du r are the personnel information of the first to uth construction teams respectively, and r represents the total number of personnel in each construction team;

[0098] S22. Extract the personnel information of the kth construction team, count the number of workers with high-altitude operation certificates in the kth construction team, and mark them as j. Then calculate the proportion of workers with high-altitude operation certificates in the kth construction team. k , and its calculation formula is as follows:

[0099]

[0100] In the formula, k r represents the total number of personnel in the kth construction team. The construction team with a higher proportion of workers with high-altitude work certificates has stronger construction capabilities and a shorter personnel deployment cycle;

[0101] S23. According to the personnel information of the kth construction team, the validity period of the workers' high-altitude operation permit is counted and marked as {k1 t , k2 t 、k3 t 、...、kjt}, k1 t To kj t are the first to jth workers with high-altitude work permits, respectively, and t represents the validity period of a single worker’s high-altitude work permit;

[0102] S24. Calculate the average effective time t of the high-altitude operation permit for the kth group of construction team workers, and the calculation formula is as follows:

[0103]

[0104] The longer the average validity period of the workers' aerial work permit is, the higher the technical level of the workers in the construction team is, the more experience they have in repairing base defects, and the more perfect the repair process is;

[0105] S25. According to the historical high-altitude operation tickets in the construction data set, the working hours of the workers with high-altitude operation certificates in the k-th construction team are counted, and then it is determined whether the workers have free time.

[0106] If a worker in the kth construction team holds a high-altitude work permit for more than 3 days, or the continuous working time exceeds 24 hours, and the worker has no spare time, other workers should be selected in time to fill the vacancy, so as to ensure that the construction progress is not affected, prevent fatigue work, and better comply with the work safety regulations;

[0107] S26. According to S25, count the total number of workers in the k-th construction team who have both high-altitude work permits and free time, marked as GK k ;

[0108] S27, according to the proportion of workers with high-altitude work permits BL k , the average effective time of workers' high-altitude work permits t and the total number of workers with both high-altitude work permits and free time slots GK k , calculate the matching coefficient Pixs of the kth group of construction teams k , and its calculation formula is as follows:

[0109]

[0110] In the formula, β 1 represents the evaluation weight for the proportion of workers, β 2 represents the evaluation weight for the average effective time of the worker's high-altitude work permit, β 3 represents the evaluation weight for the total number of workers, β 1 + According to β 1 , β 2 and β 3Weight, comprehensive worker ratio, average validity period of workers' high-altitude work permits and total number of workers, to obtain the matching coefficient of the k-th group of construction teams for subsequent rapid deployment of human resources;

[0111] Specifically, the matching coefficient Pixs in Table 2 k Beta 1 =0.4,β 2 =0.3,β 3 =0.3;

[0112]

[0113]

[0114] Table 2

[0115] The regional analysis module arranges the construction teams from high to low according to the matching coefficient Pixs, and forms a matching list PQ. In the matching list PQ, if there are two groups of construction teams with equal matching coefficients Pixs, the group with the larger total number of workers with both high-altitude work permits and free time will be prioritized. Therefore, the fitness of construction team 2 is higher than that of construction team 3, and the fitness of construction team 3 is higher than that of construction team 1.

[0116] In this embodiment, by analyzing the personnel quality, high-altitude work experience and availability of each construction team, the adaptability of the construction team is evaluated according to unified standards. The construction team with a higher matching coefficient has a higher trustworthiness, stronger capabilities and flexibility, and can complete the construction task more efficiently, resulting in a lower risk of delays in the construction schedule. The regional analysis module arranges the construction teams from high to low according to the matching coefficient Pixs, and forms a matching list PQ, which ensures the efficiency and priority of the deployment and work arrangement of the construction team, and can make the most appropriate decisions on personnel scheduling to ensure the smooth progress of the project.

[0117] Example 4

[0118] This embodiment is an explanation of the embodiment 3. Specifically, the interference coefficient Grxs calculation process is as follows:

[0119] S31. According to the environmental data set, the wind speed value at the current time point is marked as Fs, the solar radiation intensity at the current time point is marked as Tf, the temperature at the current time point is marked as Wd, the humidity at the current time point is marked as Sd, and the PM2.5 concentration at the current time point is marked as Pm;

[0120] S32. Calculate the wind pressure value Fy at the current time point according to the wind speed value Fs and temperature Wd at the current time point. The calculation formula is as follows:

[0121] Fy=0.5×(μ×Wd)×Fs2

[0122] In the formula, μ represents the conversion coefficient, μ×Wd represents the air density at the current time point converted according to the temperature at the current time point, and wind pressure is the force directly acting on the facade. Especially in strong winds or stormy weather, when the wind pressure exceeds the adhesion of the coating, the coating may peel off;

[0123] S33. Calculate the water evaporation rate Zf at the current time point according to the solar radiation intensity Tf, temperature Wd and humidity Sd at the current time point. The calculation formula is as follows:

[0124]

[0125] In the formula, λ represents the heat required for evaporation of unit mass of water, BW represents the reference temperature, It represents the ratio of the current temperature to the reference temperature, which is used to indicate the influence of temperature on the evaporation rate of water. σ represents the attenuation coefficient. σ×Sd represents the conversion of the humidity at the current time point into an attenuation value, which is used to indicate the influence of humidity on the evaporation rate of water. The speed of the evaporation rate Zf determines the curing time of the base coating.

[0126] S34. Calculate the particle settling velocity Cv at the current time point according to the temperature Wd and PM2.5 concentration Pm at the current time point. The calculation formula is as follows:

[0127]

[0128] In the formula, represents the particle radius, φ represents the conversion coefficient, φ×Pm represents the particle density at the current time point converted according to the PM2.5 concentration at the current time point, φ×Pm-μ×Wd represents the difference between the particle density and the air density at the current time point, g represents the gravitational acceleration, θ represents the conversion coefficient, θ×Wd represents the dynamic viscosity of the air at the current time point converted according to the temperature at the current time point, According to Stoke's law, the particle settling velocity at the current time point is obtained. The adhesion of PM2.5 particles can easily cause the coating surface to be rough, affecting the construction effect, and may even cause paint peeling or unevenness;

[0129] S35. Calculate the interference coefficient Grxs at the current time point according to the wind pressure value Fy, the water evaporation rate Zf and the particle settling velocity Cv. The calculation formula is as follows:

[0130] Grxs=ω 1 ×Fy+ω 2 ×Zf+ω 3 ×Cv

[0131] In the formula, ω 1 represents the evaluation weight for wind pressure value, ω 2 represents the evaluation weight for the water evaporation rate, ω 3 represents the evaluation weight for particle settling velocity, ω 1 +ω 2 +ω 3 =1,ω 1 ×Fy+ω 2 ×Zf+ω 3 ×Cv means according to ω 1 ,ω 2 and ω 3 Weight, comprehensive wind pressure value, water evaporation rate and particle settling speed, to obtain the interference coefficient at the current time point, which is used to evaluate the impact of key factors in the environment on the construction effect;

[0132] The dynamic management module prioritizes the top-ranked construction team according to the matching list PQ, and then prioritizes the repair of the top-ranked facade according to the construction plan list SJ. When repairing defects in the base of a single facade, priority is given to repairing the base defect area that exceeds the area threshold MY and the base defect depth that exceeds the depth threshold SY. In the actual construction process, it is necessary to set up scaffolding or prepare aerial work hanging baskets in advance, and prioritize repairing serious defects before repairing minor defects. This can ensure that resources such as aerial work time, equipment use, and personnel deployment are concentrated on the most urgent and important issues during the construction process, thereby improving work efficiency and avoiding resource waste;

[0133] When the interference coefficient Grxs exceeds the interference threshold GY, it indicates that the abnormal wind pressure value causes the base coating to have the risk of peeling, the abnormal water evaporation rate causes the base coating to have the risk of cracking, and the abnormal PM2.5 particle settling speed causes the base coating to have the risk of reduced adhesion, and the corresponding first interference signal is generated. The dynamic management module shortens the construction team's high-altitude operation time by 1-2 hours based on the first interference signal, and only repairs the parts of the current facade base defect area that does not exceed the area threshold MY and the base defect depth that does not exceed the depth threshold SY. The defects in these parts generally only need to be applied with two to three layers of paint to complete the repair;

[0134] When the interference coefficient Grxs is lower than the interference threshold GY, it means that the abnormal evaporation rate of water causes the risk of bulging in the base coating, and a corresponding second interference signal is generated. The priority of the first interference signal is higher than the second interference signal. The dynamic management module increases the construction team's high-altitude operation time by 1-2 hours based on the second interference signal, and repairs the base defects of the current facade in small quantities and multiple times, which is conducive to timely evaporation or discharge of water in the coating, ensuring that each layer of repair material is fully bonded.

[0135] In this embodiment, the calculation of the interference coefficient Grxs provides a powerful environmental assessment tool for construction management, which can comprehensively judge the suitability of the operation from the perspective of multiple environmental factors, thereby improving safety, operation efficiency, resource allocation and scientific decision-making. The dynamic management module identifies potential environmental risks in the construction process and takes corresponding dynamic management measures, which not only protects the health, safety and construction quality of workers, but also reduces environmental pollution, optimizes the progress of operations, and improves the overall management level of the project. In practical applications, it effectively reduces environmental risks and ensures that construction projects can proceed smoothly in a more controllable and efficient environment.

[0136] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A dynamic management system for construction progress, characterized by: It includes multi-dimensional acquisition module, regional analysis module and dynamic management module; The multi-dimensional acquisition module is connected to the big data platform through the network to obtain the construction plan, construction progress data and construction environment data of the building, and classifies them into a plan data set, a construction data set and an environment data set; The regional analysis module divides N facades according to the number of buildings based on the scheme data set, and then analyzes the base quality score Jcf of each facade in combination with the construction data set, and forms a construction plan list SJ. The regional analysis module analyzes the proportion of workers with high-altitude work permits BL in each construction team and the total number of workers with high-altitude work permits and free time GK based on the scheme data set, and generates corresponding matching coefficients Pixs and matching lists PQ. The regional analysis module analyzes the interference degree of various environmental factors on the construction progress based on the environmental data set, and generates corresponding interference coefficients Grxs; The dynamic management module selects a construction team to repair the base defects of the facade according to the construction plan list SJ and the matching list PQ. The dynamic management module is set with a fixed range of interference threshold GY, combined with the interference coefficient Grxs, to identify potential environmental risks during the construction process and take corresponding dynamic management measures.

2. A construction progress dynamic management system according to claim 1, characterized in that: The scheme data set includes the number of buildings, facade areas and a list of construction teams; The construction data set includes the total number of base defects, base defect types, base defect area, base defect depth, base defect surface intensity and historical high-altitude work tickets, wherein the types of base defects include cracks, falling off, mold and water stains; The environmental data set includes wind speed value, solar radiation intensity, temperature, humidity and PM2.5 concentration.

3. A construction progress dynamic management system according to claim 2, characterized in that: The calculation process of the base quality score Jcf is as follows: S11. According to the scheme data set, the facade area of ​​the i-th facade is marked as WM i , i∈N, and then according to the construction data set, the total number of base defects of the i-th facade is marked as Z; S12. Calculate the distribution density JF of the defects of the base layer of the i-th facade i , and its calculation formula is as follows: S13. According to the construction data set, the base defect area in the ith facade is marked as {m1, m2, m3, ..., mZ}, where m1 to mZ are the areas of the first to Zth base defects in the ith facade, respectively; the depth of the base defect in the ith facade is marked as {s1, s2, s3, ..., sZ}, where s1 to sZ are the depths of the first to Zth base defects in the ith facade, respectively; the surface strength of the base defect in the ith facade is marked as {q1, q2, q3, ..., qZ}, where q1 to qZ are the surface strengths of the first to Zth base defects in the ith facade, respectively; S14, setting a fixed range of area threshold MY, depth threshold SY and intensity threshold QY, and then judging the damage level of the facade base defect in combination with the base defect area, base defect depth and base defect surface intensity in the i-th facade; The number of defects CM whose base defect area exceeds the area threshold MY in m1 to mS is counted, CM∈Z. If the number of defects CM whose base defect area exceeds the area threshold MY is ≥ 5% of the total number Z of base defects on the i-th facade, it means that the expansion trend of base defects is unstable, and the first damage level is generated. If the number of defects CM whose base defect area exceeds the area threshold MY is < 5% of the total number Z of base defects on the i-th facade, it means that the expansion trend of base defects is stable, and the second damage level is generated. If the depth of any base defect among s1 to sZ exceeds the depth threshold SY, it means that there is a deep crack that affects the structural strength, and the first damage level is generated; if the depth of all base defects among s1 to sZ does not exceed the depth threshold SY, it means that there is no deep crack that affects the structural strength, and the second damage level is generated; If the surface intensity of any base defect from q1 to qZ is lower than the intensity threshold QY, it means that the i-th facade has chalking phenomenon, and the first damage level is generated. If the surface intensity of all base defects from q1 to qZ is included in the intensity threshold QY, it means that the i-th facade does not have chalking phenomenon, and the second damage level is generated. The first injury level is more severe than the second injury level; S15. Calculate the base quality score Jcf of the i-th facade, and the calculation formula is as follows: Jcf=C-α1×JF i -α2×CM-α3×maxs-α4×minq In the formula, C represents the basic score, α1 represents the evaluation weight for the distribution density of base defects, α2 represents the evaluation weight for the number of defects exceeding the area threshold, maxs represents the maximum value of the base defect depth in the i-th facade, α3 represents the evaluation weight for the maximum value of the base defect depth, minq represents the minimum value of the surface strength of the base defect in the i-th facade, α4 represents the evaluation weight for the minimum value of the surface strength of the base defect, α1+α2+α3+α4=1, C-α1×JF i -α2×CM-α3×maxs-α4×minq means that the base quality score of the i-th facade is obtained by comprehensively considering the basic score, base defect distribution density, number of defects exceeding the area threshold, maximum base defect depth and minimum base defect surface intensity according to the weights of α1, α2, α3 and α4.

4. A construction progress dynamic management system according to claim 3, characterized in that: The regional analysis module arranges the facades from low to high according to the base quality score Jcf, and forms a construction plan list SJ. In the construction plan list SJ, if there are two facades with equal base quality scores Jcf, the facade with the first damage level is prioritized.

5. A construction progress dynamic management system according to claim 4, characterized in that: The matching coefficient Pixs calculation process is as follows: S21. According to the list of construction teams in the solution data set, mark the personnel information of all construction teams as {D1 r 、D2 r 、D3 r 、...、Du r }, D1 r To Du r are the personnel information of the first to uth construction teams respectively, and r represents the total number of personnel in each construction team; S22. Extract the personnel information of the kth construction team, count the number of workers with high-altitude operation certificates in the kth construction team, and mark them as j. Then calculate the proportion of workers with high-altitude operation certificates in the kth construction team. k , and its calculation formula is as follows: In the formula, k r represents the total number of personnel in the k-th construction team; S23. According to the personnel information of the kth construction team, the validity period of the workers' high-altitude operation permit is counted and marked as {k1 t 、k2 t 、k3 t 、...、kj t },k1 t To kj t are the first to jth workers with high-altitude work permits, respectively, and t represents the validity period of a single worker’s high-altitude work permit; S24. Calculate the average validity period of the high-altitude operation permit for the workers of the kth group of construction teams The calculation formula is as follows: S25. According to the historical high-altitude operation tickets in the construction data set, the working hours of the workers with high-altitude operation certificates in the k-th construction team are counted, and then it is determined whether the workers have free time. If a worker in the kth construction team holds a high-altitude work permit for more than 3 days, or the continuous working time exceeds 24 hours, the worker has no free time; S26. According to S25, count the total number of workers in the k-th construction team who have both high-altitude work permits and free time, marked as GK k ; S27, according to the proportion of workers with high-altitude work permits BL k , Average validity period of workers’ high-altitude work permits and the total number of workers with both high-altitude work permits and available time slots GK k , calculate the matching coefficient Pixs of the kth group of construction teams k , and its calculation formula is as follows: In the formula, β1 represents the evaluation weight for the proportion of workers, β2 represents the evaluation weight for the average effective time of workers' high-altitude work permits, and β3 represents the evaluation weight for the total number of workers. It means that according to the weights of β1, β2 and β3, the matching coefficient of the kth group of construction teams is obtained by combining the proportion of workers, the average validity period of workers' high-altitude work permits and the total number of workers.

6. A construction progress dynamic management system according to claim 5, characterized in that: The regional analysis module arranges the construction teams from high to low according to the matching coefficient Pixs, and forms a matching list PQ. In the matching list PQ, if there are two groups of construction teams with equal matching coefficients Pixs, the group with the larger total number of workers who have both high-altitude work permits and available schedules is prioritized.

7. A construction progress dynamic management system according to claim 6, characterized in that: The interference coefficient Grxs calculation process is as follows: S31. According to the environmental data set, the wind speed value at the current time point is marked as Fs, the solar radiation intensity at the current time point is marked as Tf, the temperature at the current time point is marked as Wd, the humidity at the current time point is marked as Sd, and the PM2.5 concentration at the current time point is marked as Pm; S32. Calculate the wind pressure value Fy at the current time point according to the wind speed value Fs and temperature Wd at the current time point. The calculation formula is as follows: Fy=0.5×(μ×Wd)×Fs 2 In the formula, μ represents the conversion coefficient, and μ×Wd represents the air density at the current time point converted according to the temperature at the current time point; S33, according to the solar radiation intensity Tf, temperature Wd and humidity Sd at the current time point, calculate the water evaporation rate Zf at the current time point, and the calculation formula is as follows: In the formula, λ represents the heat required for evaporation of unit mass of water, BW represents the reference temperature, It represents the ratio of the current temperature to the reference temperature, which is used to indicate the influence of temperature on the evaporation rate of water. σ represents the attenuation coefficient. σ×Sd represents the conversion of the humidity at the current time point into an attenuation value, which is used to indicate the influence of humidity on the evaporation rate of water. S34. Calculate the particle settling velocity Cv at the current time point according to the temperature Wd and PM2.5 concentration Pm at the current time point. The calculation formula is as follows: In the formula, represents the particle radius, φ represents the conversion coefficient, φ×Pm represents the particle density at the current time point converted according to the PM2.5 concentration at the current time point, φ×Pm-μ×Wd represents the difference between the particle density and the air density at the current time point, g represents the gravitational acceleration, θ represents the conversion coefficient, θ×Wd represents the dynamic viscosity of the air at the current time point converted according to the temperature at the current time point, It means that according to Stokes' law, the particle settling velocity at the current time point is obtained; S35. Calculate the interference coefficient Grxs at the current time point according to the wind pressure value Fy, the water evaporation rate Zf and the particle settling velocity Cv. The calculation formula is as follows: Grxs=ω1×Fy+ω2×Zf+ω3×Cv In the formula, ω1 represents the evaluation weight for the wind pressure value, ω2 represents the evaluation weight for the water evaporation rate, ω3 represents the evaluation weight for the particle settling velocity, ω1+ω2+ω3=1, ω1×Fy+ω2×Zf+ω3×Cv means that the interference coefficient at the current time point is obtained by comprehensively considering the wind pressure value, water evaporation rate and particle settling velocity according to the weights of ω1, ω2 and ω3.

8. A construction progress dynamic management system according to claim 7, characterized in that: The dynamic management module prioritizes the top-ranked construction team according to the matching list PQ, and then prioritizes repairing the top-ranked facade according to the construction plan list SJ. When repairing a single facade base defect, priority is given to repairing the base defect area that exceeds the area threshold MY and the base defect depth that exceeds the depth threshold SY.

9. A construction progress dynamic management system according to claim 8, characterized in that: When the interference coefficient Grxs exceeds the interference threshold GY, it indicates that the abnormal wind pressure value causes the risk of peeling of the base coating, the abnormal water evaporation rate causes the risk of cracking of the base coating, and the abnormal PM2.5 particle settling velocity causes the risk of decreased adhesion of the base coating, and a corresponding first interference signal is generated. The dynamic management module shortens the construction team's high-altitude operation time by 1-2 hours based on the first interference signal, and only repairs the part of the current facade base defect area that does not exceed the area threshold MY and the base defect depth that does not exceed the depth threshold SY.

10. A construction progress dynamic management system according to claim 9, characterized in that: When the interference coefficient Grxs is lower than the interference threshold GY, it indicates that the abnormal evaporation rate of water causes the risk of bulging of the base coating, and a corresponding second interference signal is generated. The priority of the first interference signal is higher than that of the second interference signal. The dynamic management module increases the high-altitude working time of the construction team by 1-2 hours based on the second interference signal, and repairs the base defects of the current facade in small amounts and multiple times.