A construction engineering detection system and method based on data analysis

Abstract

The present invention discloses a construction engineering detection system and method based on data analysis, which relates to the field of engineering detection technology. The system collects environmental data such as temperature, humidity, and air pressure at the construction site in real time through sensors, and forms a data set W after denoising and normalization processing, thereby ensuring the accuracy and availability of the data. The collection and efficient preprocessing of real-time environmental data enable environmental changes to be reflected in construction management in a timely manner, avoiding the negative impact on construction quality and progress caused by environmental fluctuations that are not detected in time. By eliminating data noise, the accuracy of data analysis is further improved. The system combines the physical and chemical properties of the material to establish a mathematical relationship model between material properties, including cement setting time Tcu and strength growth S, and environmental factors. It provides a more accurate prediction method than traditional experience, avoiding construction delays or quality problems caused by the failure to identify changes in material properties in advance.

Description

Technical Field

[0001] The present invention relates to the technical field of engineering detection, and in particular to a construction engineering detection system and method based on data analysis. Background Art

[0002] In modern construction, project quality management and control remain key factors for project success. The construction process involves multiple steps, including material selection, construction schedule, resource allocation, and the impact of environmental factors. With technological advancements, data analysis and intelligent technologies are playing an increasingly important role in these areas. From large-scale project management to detailed construction technology management, data-driven decision support has become a core means of improving construction efficiency and quality.

[0003] Current construction project inspection systems mostly focus on static monitoring and individual material testing, lacking the ability to dynamically adjust based on real-time environmental data and material property analysis. Traditional methods rely heavily on engineers' experience and judgment, lacking automated predictive models. As a result, construction progress and quality are often impacted by environmental changes. Construction strategies cannot be adjusted promptly to address these changes, resulting in low construction efficiency, material waste, and even impacting the long-term stability of the structure.

[0004] The root cause of the existing problems lies in the delayed response to environmental changes during construction and inaccurate predictions of changes in building material properties, particularly the neglect of the impact of environmental factors on material chemical reactions. Temperature and humidity fluctuations are often difficult to monitor in a timely manner and incorporate as key parameters into the construction decision-making process, leading to many abnormal situations during construction. For example, cement can solidify too slowly in high humidity, causing construction delays, or too quickly at high temperatures, affecting its strength. Steel bars can corrode prematurely in hot and humid environments, affecting the long-term stability of the structure. These issues not only affect construction quality but can also pose safety risks and additional costs. Summary of the Invention

[0005] In view of the deficiencies of the prior art, the present invention provides a construction engineering detection system and method based on data analysis, which solves the problems mentioned in the background technology.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a construction engineering detection system based on data analysis, including an environmental data acquisition and preprocessing module, a material property analysis and environmental correlation modeling module, an environmental impact prediction and construction adjustment suggestion module, a dynamic construction scheduling and resource allocation module, a real-time monitoring and feedback adjustment module, and a final result output and optimization report module;

[0007] The environmental data acquisition and preprocessing module collects environmental data of the construction site in real time through sensors and performs data processing, including denoising and normalization, to obtain a data set W;

[0008] The material property analysis and environmental correlation modeling module establishes a mathematical relationship model between material properties and environmental conditions based on the data set W and the physical and chemical properties of the building materials to obtain the cement setting time Tcu and strength growth S;

[0009] The environmental impact prediction and construction adjustment suggestion module predicts the future construction environment based on the cement setting time Tcu and strength growth S, and gives a prediction of the physical and chemical properties of the material due to environmental changes, and proposes construction adjustment suggestions;

[0010] The dynamic construction scheduling and resource allocation module dynamically adjusts construction scheduling and resource allocation according to the proposed construction adjustment suggestions;

[0011] The real-time monitoring and feedback adjustment module monitors the construction progress and environmental changes in real time based on the adjusted construction scheduling and resource allocation, provides feedback through updated environmental data, and adjusts operations during the construction process;

[0012] The final result output and optimization report module generates a final report including construction process adjustment suggestions, material adjustment suggestions and resource allocation suggestions.

[0013] Preferably, the environmental data acquisition and preprocessing module includes a data acquisition unit and a data processing unit;

[0014] The data acquisition unit collects environmental data of the construction site, including temperature T and humidity H, through a temperature sensor and a humidity sensor to form an original data set; the data processing unit performs denoising and normalization processing on the original data set to obtain a data set W;

[0015] Denoising involves using low-pass filters and mean filtering methods to remove the noise present in the original data set;

[0016] Normalization processing includes using a normalization method to perform a normalization operation on the original data set to limit the values ​​to the range of [0, 1].

[0017] Preferably, the material property analysis and environment association modeling module includes an environmental impact modeling unit and a material performance prediction unit;

[0018] The environmental impact modeling unit performs correlation modeling on the dataset W and the physical and chemical properties of the building materials to determine the relationship between the environmental data and the material properties, wherein the physical and chemical properties of the building materials include cement setting time Tcu and strength growth S;

[0019] Based on the data set W, the influence function of temperature T and humidity H on cement setting time Tcu and strength growth S is established. Temperature T and humidity H are used as input variables. Through data analysis, the relationship between temperature T, humidity H and cement setting time Tcu is fitted.

[0020] The temperature and humidity influence model of the cement setting time Tcu is obtained by the following formula:

[0021] ;

[0022] Where Tre represents the solidification time at standard temperature, T0 represents the standard reference temperature, γ represents the sensitivity coefficient of temperature to solidification time, and δ represents the influence coefficient of humidity on solidification time.

[0023] The material performance prediction unit predicts the physical and chemical properties of building materials under different environmental conditions based on the temperature and humidity influence model and in combination with the strength growth S of cement;

[0024] Calculate the strength growth S under temperature and humidity changes, and use the strength growth curve combined with real-time environmental data to predict the strength of the material at different time points;

[0025] The strength growth S of the cement is obtained by the following formula:

[0026] ;

[0027] Where S(t) represents the cement strength at time t, So represents the initial strength of cement, β represents the strength growth coefficient related to temperature and humidity, and Tavg represents the average temperature.

[0028] Preferably, the environmental impact prediction and construction adjustment suggestion module includes an environmental impact prediction unit and a construction adjustment suggestion unit;

[0029] The environmental impact prediction unit predicts the impact of future environmental changes on the cement setting time Tcu and strength growth S based on the cement setting time Tcu and strength growth S. By combining environmental data with the physical and chemical properties of building materials, it predicts how the physical and chemical properties of building materials will change under different environmental data changes;

[0030] Combine environmental data with the temperature and humidity impact model to calculate the future cement setting time TcuF and future strength growth SF;

[0031] The future cement setting time TcuF is obtained by the following formula:

[0032] ;

[0033] Where ΔT represents the future temperature change, and ΔH represents the future humidity change;

[0034] The future temperature change ΔT is obtained by the difference between the temperature T at time t+1 and the temperature T at time t;

[0035] The future humidity change ΔH is obtained by the difference between the humidity H at time t+1 and the humidity H at time t;

[0036] The future strength growth SF is obtained by the following formula:

[0037] ;

[0038] Where TavgF represents the average temperature predicted in the future.

[0039] Preferably, the construction adjustment suggestion unit adjusts the construction according to the obtained future cement setting time TcuF and future strength growth SF, and obtains construction adjustment suggestions, including suggestions for delaying construction time and material ratio suggestions; the purpose is to be able to adjust the construction plan in time to avoid quality problems when adverse environmental conditions such as high temperature and low humidity are predicted.

[0040] Compare the future cement setting time TcuF with the safety threshold of cement setting time Tth to obtain a suggestion for delaying construction time;

[0041] The delayed construction time is recommended to be obtained by matching in the following ways:

[0042] When the future cement setting time TcuF ≤ the safety threshold Tth, the construction time will not be delayed;

[0043] When the future cement setting time TcuF> the safety threshold Tth, it is recommended to delay the construction time. The construction delay time ΔTde is obtained by the difference between the future cement setting time TcuF and the safety threshold Tth.

[0044] Compare the future strength growth SF with the standard cement strength value Smon to obtain material ratio recommendations;

[0045] The material ratio is recommended to be obtained by matching in the following ways:

[0046] When the future strength growth SF ≥ the standard value of cement strength Smon, the material ratio will not be adjusted;

[0047] When the future strength growth SF is less than the standard value of cement strength Smon, it is recommended to adjust the material ratio, and the material ratio adjustment amount is ΔM;

[0048] The material ratio adjustment amount ΔM is obtained by the following formula:

[0049] ;

[0050] Where k represents the ratio adjustment coefficient related to the strength growth difference.

[0051] Preferably, the dynamic construction scheduling and resource allocation module includes a construction scheduling optimization unit and a resource allocation optimization unit;

[0052] The construction scheduling optimization unit adjusts the construction schedule based on dynamic environmental data and construction adjustment suggestions. If it predicts that the cement will take a long time to set or its strength will increase slowly, the system will adjust the construction time window to avoid construction under unsuitable environmental conditions.

[0053] Receive construction adjustment suggestions from the environmental impact prediction and construction adjustment suggestion module, including construction delay time suggestions and material ratio suggestions, and calculate and obtain the construction adjustment time Tadj;

[0054] The construction adjustment time Tadj is obtained by the following formula:

[0055] ;

[0056] Where ΔTde represents the construction delay time, Tcu represents the cement setting time, and Twin represents the available time of the construction window, which is usually the predicted optimal construction time.

[0057] Preferably, the resource allocation optimization unit adjusts the allocation of human and mechanical resources based on the construction adjustment time Tadj; specifically, the system will reasonably arrange the input of manpower, machinery and other resources according to the construction progress and the adjusted construction time window to ensure that the construction plan can be completed on time and efficiently.

[0058] According to the construction adjustment time Tadj and construction progress, predict the resource requirements of each construction stage, adjust human and mechanical resources, arrange resource input, and calculate the resource input amount Rto;

[0059] The resource input Rto is obtained by the following formula:

[0060] ;

[0061] Where Pi represents the number of personnel required for each construction stage, Mj represents the number of mechanical equipment required for each construction stage, i represents different construction stages, j represents different types of mechanical equipment, n represents the total number of construction stages, and m represents the number of types of mechanical equipment.

[0062] Preferably, the real-time monitoring and feedback adjustment module includes a construction progress monitoring unit and a feedback adjustment and resource optimization unit;

[0063] The construction progress monitoring unit collects construction progress data and environmental data in real time, compares them with the predetermined construction progress, determines the construction progress deviation Pde, detects environmental changes, obtains the environmental impact index Eim, compares it with the preset temperature and humidity threshold ETH, and determines the construction quality status;

[0064] Generate feedback information based on monitoring results and identify construction areas that need adjustment;

[0065] The construction progress deviation Pde is obtained by the following formula:

[0066] ;

[0067] Where Pcu represents the actual completion progress of the current construction phase, and Pex represents the completion progress of the scheduled construction phase;

[0068] The environmental impact index Eim is obtained by the following formula:

[0069] ;

[0070] Where, They represent the influence coefficients of temperature and humidity on construction quality, ΔT represents the future temperature change, and ΔH represents the future humidity change;

[0071] The construction quality status is obtained by matching in the following ways:

[0072] When the environmental impact index Eim>temperature and humidity threshold ETH, it means that the environmental data has affected the construction quality and the construction recommendations should be readjusted;

[0073] When the environmental impact index Eim ≤ the temperature and humidity threshold ETH, it means that the environmental data has no impact on the construction quality;

[0074] The feedback adjustment and resource optimization unit calculates the construction time variation ΔTadj and the resource adjustment coefficient ΔRjj according to the construction progress deviation Pde and the environmental impact index Eim, and adjusts the construction adjustment time Tadj and the resource input Rto in real time;

[0075] The construction time variation ΔTadj is obtained by the following formula:

[0076] ;

[0077] Where Tremb represents the remaining construction time. This formula calculates the construction time that needs to be adjusted based on the construction progress deviation and the remaining construction time. When the progress lags, the adjustment time is used to accelerate the subsequent construction progress.

[0078] The resource adjustment coefficient ΔRjj is obtained by the following formula:

[0079] ;

[0080] Where, The resource adjustment factors for time delays and environmental impacts, respectively, are used to calculate the required resource additions based on the time required for schedule adjustments and the impact of environmental changes on construction quality. Using these resource adjustment factors, the system can determine the required additional resources, including manpower and machinery.

[0081] Preferably, the final result output and optimization report module includes an adjustment suggestion generation unit and an optimization report generation unit;

[0082] The adjustment suggestion generating unit obtains the construction process adjustment suggestion Aco according to the obtained construction progress deviation Pde, environmental impact index Eim and construction time change ΔTadj; obtains the material adjustment suggestion Ama according to the future strength growth SF, future temperature change ΔT and future humidity change ΔH; obtains the resource allocation suggestion Are according to the resource adjustment coefficient ΔRjj, future temperature change ΔT and future humidity change ΔH;

[0083] The adjustment suggestion Aco of the construction process is obtained by the following formula:

[0084] ;

[0085] Where, f represents the construction adjustment suggestion function;

[0086] The material adjustment suggestion Ama is obtained through the following formula:

[0087] ;

[0088] Where g represents the material adjustment suggestion function;

[0089] The resource allocation suggestion Are is obtained by the following formula:

[0090] ;

[0091] Where h represents the resource allocation recommendation function;

[0092] The optimization report generation unit receives the construction process adjustment suggestions Aco, material adjustment suggestions Ama and resource allocation suggestions Are from the adjustment suggestion generation unit, summarizes and combines them, converts them into a report format, and outputs a final report.

[0093] A construction engineering detection method based on data analysis includes the following steps:

[0094] Step 1: The environmental data acquisition and preprocessing module collects environmental data from the construction site in real time through sensors and performs data processing, including denoising and normalization, to obtain the data set W;

[0095] Step 2: The material property analysis and environmental correlation modeling module uses the data set W and combines the physical and chemical properties of building materials to establish a mathematical relationship model between material properties and environmental conditions to obtain the cement setting time Tcu and strength growth S;

[0096] Step 3: The environmental impact prediction and construction adjustment suggestion module predicts the future construction environment based on the cement setting time Tcu and strength growth S, and provides a prediction of the impact of environmental changes on the physical and chemical properties of materials, and proposes construction adjustment suggestions;

[0097] Step 4: The dynamic construction scheduling and resource allocation module dynamically adjusts the construction scheduling and resource allocation based on the proposed construction adjustment suggestions;

[0098] Step 5: The real-time monitoring and feedback adjustment module monitors construction progress and environmental changes in real time based on the adjusted construction schedule and resource allocation, provides feedback through updated environmental data, and adjusts operations during the construction process;

[0099] Step 6: The final result output and optimization report module generates a final report, including construction process adjustment suggestions, material adjustment suggestions and resource allocation suggestions.

[0100] The present invention provides a construction engineering detection system and method based on data analysis, which has the following beneficial effects:

[0101] (1) When the system is running, it collects environmental data such as temperature, humidity, and air pressure at the construction site in real time through sensors, and forms a data set W after denoising and normalization, ensuring the accuracy and availability of the data. The collection and efficient preprocessing of real-time environmental data enable environmental changes to be reflected in construction management in a timely manner, avoiding the negative impact on construction quality and progress caused by environmental fluctuations that are not detected in time. By eliminating data noise, the accuracy of data analysis is further improved. The system combines the physical and chemical properties of the material to establish a mathematical relationship model between material properties, including cement setting time Tcu and strength growth S, and environmental factors. This model can accurately describe the impact of environmental conditions on the performance of building materials, providing a more accurate prediction method than traditional experience, and avoiding construction delays or quality problems caused by the failure to identify changes in material properties in advance.

[0102] (2) Based on the temperature and humidity impact model and cement strength growth prediction, the system can make real-time construction adjustment suggestions, including optimizing the construction time window and adjusting the material ratio. By real-time prediction of environmental data and material properties, the system can provide intelligent adjustment suggestions for construction, avoiding delays and unnecessary costs caused by environmental factors during construction. The intelligent generation of adjustment suggestions reduces the risk of relying on manual experience, improves construction efficiency, and ensures the optimization of material properties during the construction process.

[0103] The system monitors environmental changes and material properties in real time, automatically responding to them and making construction adjustments. This real-time monitoring and automatic response mechanism allows the construction process to quickly adapt to environmental changes, eliminating the inability of traditional construction methods to adjust promptly when environmental factors fluctuate dramatically. The system automatically adjusts construction procedures, material usage, and construction plans based on environmental data, significantly improving construction efficiency and quality control while reducing the need for manual intervention.

[0104] (3) Dynamically adjust construction scheduling and resource allocation based on environmental impact predictions and construction adjustment suggestions. In terms of construction time scheduling, the construction time window is adjusted according to the cement setting time, and based on the adjusted time, the allocation of human and mechanical resources is optimized. Dynamic adjustment of construction scheduling can prevent the construction process from being affected by adverse environmental factors. The system automatically optimizes the construction time based on the actual predicted environmental changes to ensure the smooth progress of the construction. Moreover, by accurately calculating the resources required for each construction stage, including manpower and machinery, resource allocation is more reasonable and resource waste is reduced. The optimized resource allocation can effectively improve work efficiency, reduce construction costs, and improve the quality of project delivery.

[0105] Based on the construction adjustment suggestions, the system adjusts the construction schedule by the predicted construction delay time ΔTde, and optimizes the allocation of human and mechanical resources through the adjusted construction time.

[0106] (4) Based on data such as construction progress deviation, environmental impact index, and construction time change, the system automatically generates construction process adjustment suggestions Aco, material adjustment suggestions Ama, and resource allocation suggestions Are. These adjustment suggestions cover key aspects such as construction time, material ratio, and resource allocation. Automated adjustment suggestion generation makes the construction process more flexible and efficient. When the construction progress lags or the environment changes, the system can quickly provide an adjustment plan, thus avoiding delays and errors caused by manual judgment. Through real-time feedback and adjustments, the system ensures the efficiency and quality of construction and avoids the risks caused by human decision-making errors.

[0107] Based on the future strength growth SF, temperature change ΔT and humidity change ΔH, the system can generate material adjustment suggestions and calculate resource allocation suggestions based on the resource adjustment coefficient ΔRjj. BRIEF DESCRIPTION OF THE DRAWINGS

[0108] Figure 1 This is a flowchart diagram of a construction engineering detection system based on data analysis according to the present invention;

[0109] Figure 2 The figure is a schematic diagram of the steps of a construction engineering detection method based on data analysis of the present invention. DETAILED DESCRIPTION

[0110] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0111] Example 1

[0112] The present invention provides a construction engineering detection system and method based on data analysis, please refer to Figure 1 , including environmental data acquisition and preprocessing module, material property analysis and environmental correlation modeling module, environmental impact prediction and construction adjustment suggestion module, dynamic construction scheduling and resource allocation module, real-time monitoring and feedback adjustment module and final result output and optimization report module;

[0113] The environmental data acquisition and preprocessing module collects environmental data of the construction site in real time through sensors and performs data processing, including denoising and normalization, to obtain a data set W;

[0114] The material property analysis and environmental correlation modeling module establishes a mathematical relationship model between material properties and environmental conditions based on the data set W and the physical and chemical properties of the building materials to obtain the cement setting time Tcu and strength growth S;

[0115] The environmental impact prediction and construction adjustment suggestion module predicts the future construction environment based on the cement setting time Tcu and strength growth S, and gives a prediction of the physical and chemical properties of the material due to environmental changes, and proposes construction adjustment suggestions;

[0116] The dynamic construction scheduling and resource allocation module dynamically adjusts construction scheduling and resource allocation according to the proposed construction adjustment suggestions;

[0117] The real-time monitoring and feedback adjustment module monitors the construction progress and environmental changes in real time based on the adjusted construction scheduling and resource allocation, provides feedback through updated environmental data, and adjusts operations during the construction process;

[0118] The final result output and optimization report module generates a final report including construction process adjustment suggestions, material adjustment suggestions and resource allocation suggestions.

[0119] In this embodiment, the system uses sensors to collect environmental data such as temperature, humidity, and air pressure at the construction site in real time, and forms a data set W after denoising and normalization, ensuring the accuracy and availability of the data. The collection of real-time environmental data and efficient preprocessing enable environmental changes to be reflected in construction management in a timely manner, avoiding the negative impact on construction quality and progress caused by environmental fluctuations that are not detected in time. By eliminating data noise, the accuracy of data analysis is further improved. The system combines the physical and chemical properties of the material to establish a mathematical relationship model between material properties, including cement setting time Tcu and strength growth S, and environmental factors. This model can accurately describe the impact of environmental conditions on the performance of building materials, providing a more accurate prediction method than traditional experience, and avoiding construction delays or quality problems caused by the failure to identify changes in material properties in advance.

[0120] Based on predictions of cement setting time Tcu and strength growth S, the system can anticipate potential construction issues based on environmental changes and provide real-time adjustment recommendations. By predicting the impact of future environmental conditions on material properties, the system can provide timely adjustment recommendations before and during construction, effectively avoiding construction delays or quality defects caused by environmental changes, reducing resource waste and project costs.

[0121] The system can dynamically adjust construction scheduling and resource allocation based on construction adjustment suggestions, and rationally arrange the input of manpower, machinery, and other resources. Dynamic adjustment of construction scheduling and resource allocation ensures the efficient utilization of resources during the construction process, improving construction efficiency. Especially when environmental conditions are unfavorable, it can rationally arrange the input of personnel and mechanical equipment to avoid waste of resources or construction delays caused by environmental factors. By monitoring construction progress and environmental changes in real time, the system can automatically adjust construction steps or operations when environmental data is updated, ensuring an efficient and smooth construction process. This feedback adjustment mechanism can respond to environmental changes that occur during construction in real time, ensuring that the construction process is always in optimal condition. Whether it is a delay in construction progress caused by changes in temperature and humidity, or a construction bottleneck caused by unreasonable resource allocation, the system can respond quickly to reduce the impact of environmental changes.

[0122] Example 2

[0123] This embodiment is explained in Example 1, please refer to Figure 1 ,Specifically: the environmental data acquisition and preprocessing module includes a data acquisition unit and a data processing unit;

[0124] The data acquisition unit collects environmental data of the construction site, including temperature T and humidity H, through a temperature sensor and a humidity sensor to form an original data set; the data processing unit performs denoising and normalization processing on the original data set to obtain a data set W;

[0125] Denoising involves using low-pass filters and mean filtering methods to remove the noise present in the original data set;

[0126] Normalization processing includes using a normalization method to perform a normalization operation on the original data set to limit the values ​​to the range of [0, 1].

[0127] The material property analysis and environment association modeling module includes an environmental impact modeling unit and a material performance prediction unit;

[0128] The environmental impact modeling unit performs correlation modeling on the dataset W and the physical and chemical properties of the building materials to determine the relationship between the environmental data and the material properties, wherein the physical and chemical properties of the building materials include cement setting time Tcu and strength growth S;

[0129] Based on the data set W, the influence function of temperature T and humidity H on cement setting time Tcu and strength growth S is established. Temperature T and humidity H are used as input variables. Through data analysis, the relationship between temperature T, humidity H and cement setting time Tcu is fitted.

[0130] The temperature and humidity influence model of the cement setting time Tcu is obtained by the following formula:

[0131] ;

[0132] Where Tre represents the solidification time at standard temperature, T0 represents the standard reference temperature, γ represents the sensitivity coefficient of temperature to solidification time, and δ represents the influence coefficient of humidity on solidification time.

[0133] The material performance prediction unit predicts the physical and chemical properties of building materials under different environmental conditions based on the temperature and humidity influence model and in combination with the strength growth S of cement;

[0134] Calculate the strength growth S under temperature and humidity changes, and use the strength growth curve combined with real-time environmental data to predict the strength of the material at different time points;

[0135] The strength growth S of the cement is obtained by the following formula:

[0136] ;

[0137] Where S(t) represents the cement strength at time t, So represents the initial strength of cement, β represents the strength growth coefficient related to temperature and humidity, and Tavg represents the average temperature.

[0138] In this embodiment, high-precision environmental data collection and processing

[0139] Improvements: The system collects real-time environmental data from the construction site through temperature and humidity sensors, removes noise using low-pass and mean filtering methods, and adjusts the data to a standard range through normalization. Benefits: Accurate environmental data collection and processing methods effectively eliminate external interference and errors, ensuring the reliability and validity of environmental data. De-noising and normalization enable the system to efficiently and accurately analyze environmental changes, avoiding construction decision-making errors caused by inaccurate data. By real-time monitoring of environmental factors such as temperature and humidity, the impact of environmental changes on material properties can be promptly reflected during the construction process, providing data support for subsequent construction adjustments.

[0140] By establishing a mathematical model of the effects of temperature and humidity on cement setting time Tcu and strength growth S, the system can accurately simulate changes in cement performance under different environmental conditions and capture the dynamic changes in cement setting time Tcu and strength growth S. Based on the construction of a temperature and humidity impact model, the system can predict cement setting time and strength growth based on real-time environmental data, helping construction parties to grasp changes in material properties in advance. By fitting the relationship between environmental data and cement setting time and strength, the system can provide scientific construction time windows and material adjustment plans for construction, avoiding environmental impacts that traditional empirical methods cannot accurately predict, and improving the controllability and scientific nature of the construction process.

[0141] The system establishes an influence function between temperature and humidity and cement setting time and strength growth. Through data analysis model fitting, it accurately derives the impact of environmental factors on material properties. Through precise correlation modeling, the system comprehensively analyzes and evaluates the specific impacts of environmental factors on material properties, enabling construction parties to make timely adjustments based on environmental changes. This modeling not only improves prediction accuracy but also provides the necessary basis for dynamic adjustments on the construction site, ensuring that construction quality is not affected by environmental fluctuations and reducing construction risks.

[0142] Integrating the cement strength growth curve, the system can predict cement strength changes based on real-time environmental data, even under varying temperature and humidity conditions. This real-time prediction, based on the strength growth curve and environmental factors, allows construction teams to dynamically adjust cement usage and mix ratios to ensure that cement strength increases meet design standards. By predicting cement strength growth under different environmental conditions, construction teams can flexibly adjust the construction schedule based on actual conditions, reducing material waste and construction quality issues caused by adverse environmental factors.

[0143] Example 3

[0144] This embodiment is explained in Example 2, please refer to Figure 1 ,Specifically: the environmental impact prediction and construction adjustment suggestion module includes an environmental impact prediction unit and a construction adjustment suggestion unit;

[0145] The environmental impact prediction unit predicts the impact of future environmental changes on the cement setting time Tcu and strength growth S based on the cement setting time Tcu and strength growth S. By combining environmental data with the physical and chemical properties of building materials, it predicts how the physical and chemical properties of building materials will change under different environmental data changes;

[0146] Combine environmental data with the temperature and humidity impact model to calculate the future cement setting time TcuF and future strength growth SF;

[0147] The future cement setting time TcuF is obtained by the following formula:

[0148] ;

[0149] Where ΔT represents the future temperature change, and ΔH represents the future humidity change;

[0150] The future temperature change ΔT is obtained by the difference between the temperature T at time t+1 and the temperature T at time t;

[0151] The future humidity change ΔH is obtained by the difference between the humidity H at time t+1 and the humidity H at time t;

[0152] The future strength growth SF is obtained by the following formula:

[0153] ;

[0154] Where TavgF represents the average temperature predicted in the future.

[0155] The construction adjustment suggestion unit adjusts the construction according to the acquired future cement setting time TcuF and future strength growth SF, and obtains construction adjustment suggestions, including suggestions for delaying the construction time and suggestions for material ratios;

[0156] Compare the future cement setting time TcuF with the safety threshold of cement setting time Tth to obtain a suggestion for delaying construction time;

[0157] The delayed construction time is recommended to be obtained by matching in the following ways:

[0158] When the future cement setting time TcuF ≤ the safety threshold Tth, the construction time will not be delayed;

[0159] When the future cement setting time TcuF> the safety threshold Tth, it is recommended to delay the construction time. The construction delay time ΔTde is obtained by the difference between the future cement setting time TcuF and the safety threshold Tth.

[0160] Compare the future strength growth SF with the standard cement strength value Smon to obtain material ratio recommendations;

[0161] The material ratio is recommended to be obtained by matching in the following ways:

[0162] When the future strength growth SF ≥ the standard value of cement strength Smon, the material ratio will not be adjusted;

[0163] When the future strength growth SF is less than the standard value of cement strength Smon, it is recommended to adjust the material ratio, and the material ratio adjustment amount is ΔM;

[0164] The material ratio adjustment amount ΔM is obtained by the following formula:

[0165] ;

[0166] Where k represents the ratio adjustment coefficient related to the strength growth difference.

[0167] The dynamic construction scheduling and resource allocation module includes a construction scheduling optimization unit and a resource allocation optimization unit;

[0168] The construction scheduling optimization unit adjusts the construction schedule based on dynamic environmental data and construction adjustment suggestions;

[0169] Receive construction adjustment suggestions from the environmental impact prediction and construction adjustment suggestion module, including construction delay time suggestions and material ratio suggestions, and calculate and obtain the construction adjustment time Tadj;

[0170] The construction adjustment time Tadj is obtained by the following formula:

[0171] ;

[0172] Where ΔTde represents the construction delay time, Tcu represents the cement setting time, and Twin represents the available time of the construction window.

[0173] The resource allocation optimization unit adjusts the allocation of human resources and mechanical resources based on the construction adjustment time Tadj;

[0174] According to the construction adjustment time Tadj and construction progress, predict the resource requirements of each construction stage, adjust human and mechanical resources, arrange resource input, and calculate the resource input amount Rto;

[0175] The resource input Rto is obtained by the following formula:

[0176] ;

[0177] Where Pi represents the number of personnel required for each construction stage, Mj represents the number of mechanical equipment required for each construction stage, i represents different construction stages, j represents different types of mechanical equipment, n represents the total number of construction stages, and m represents the number of types of mechanical equipment.

[0178] In this embodiment, the system combines real-time environmental data with models of cement setting time Tcu and strength growth S to accurately predict the impact of future environmental changes on the physical and chemical properties of building materials. Future cement setting time TcuF and strength growth SF are calculated based on changes in environmental data, predicting changes in cement performance under different environmental conditions. This prediction function allows construction parties to understand in advance the impact of environmental changes on cement setting and strength growth, avoiding the problem of relying on experience in traditional construction. By accurately predicting cement setting time Tcu and strength growth S, construction managers can make more scientific construction decisions based on the prediction results and proactively address the uncertainties brought about by environmental changes.

[0179] Based on the predicted results of future cement setting time TcuF and cement strength growth SF, the system automatically generates construction adjustment suggestions. These include: when the future cement setting time exceeds the safety threshold Tth, the system automatically recommends delaying construction time; when the future strength growth is lower than the standard value Smon, the system recommends adjusting the material ratio and calculating the material ratio adjustment amount ΔM. Through intelligent construction adjustment suggestions, the system can automatically propose reasonable construction adjustment plans based on the predicted changes in cement properties, avoiding deviations and delays caused by manual judgment. For construction managers, this means they can respond to environmental changes more flexibly, not only improving construction efficiency but also ensuring project quality. Automated suggestion generation greatly reduces the complexity and time cost of construction plan adjustments.

[0180] The system dynamically adjusts construction scheduling and resource allocation based on environmental impact predictions and construction adjustment recommendations. Regarding construction time scheduling, the construction window is adjusted based on the cement setting time, and based on this adjustment, the allocation of human and mechanical resources is optimized. Dynamically adjusting construction scheduling ensures that the construction process is not affected by adverse environmental factors. The system automatically optimizes construction time based on actual predicted environmental changes to ensure smooth construction progress. Furthermore, by accurately calculating the resources required for each construction phase, including manpower and machinery, resource allocation is more rational, reducing resource waste. Optimized resource allocation can effectively improve work efficiency, reduce construction costs, and enhance project delivery quality.

[0181] Based on the construction adjustment recommendations, the system adjusts the construction schedule using the predicted construction delay time ΔTde. This adjusted construction time is then used to optimize the allocation of human and mechanical resources. Accurate construction time matching and resource allocation ensures smooth construction progress, avoiding delays and quality issues caused by insufficient time or resources. The rational allocation of construction resources improves work efficiency, saves time and costs, and reduces the need for additional resources, thereby maximizing resource utilization.

[0182] The real-time environmental monitoring system can provide timely feedback and adjustments to construction scheduling, material usage, and resource allocation based on real-time changes in environmental data. This real-time feedback and adjustment mechanism enables construction teams to quickly respond to environmental changes, such as dramatic fluctuations in temperature and humidity, ensuring optimal construction. By monitoring environmental changes in real time, the system can promptly identify potential risks and make adjustments, avoiding construction delays and cost overruns caused by untimely responses to environmental changes.

[0183] Example 4

[0184] This embodiment is explained in Example 3, please refer to Figure 1 ,Specifically: the real-time monitoring and feedback adjustment module includes a ,construction progress monitoring unit and a feedback adjustment and resource ,optimization unit;

[0185] The construction progress monitoring unit collects construction progress data and environmental data in real time, compares them with the predetermined construction progress, determines the construction progress deviation Pde, detects environmental changes, obtains the environmental impact index Eim, compares it with the preset temperature and humidity threshold ETH, and determines the construction quality status;

[0186] The construction progress deviation Pde is obtained by the following formula:

[0187] ;

[0188] Where Pcu represents the actual completion progress of the current construction phase, and Pex represents the completion progress of the scheduled construction phase;

[0189] The environmental impact index Eim is obtained by the following formula:

[0190] ;

[0191] Where, They represent the influence coefficients of temperature and humidity on construction quality, ΔT represents the future temperature change, and ΔH represents the future humidity change;

[0192] The construction quality status is obtained by matching in the following ways:

[0193] When the environmental impact index Eim>temperature and humidity threshold ETH, it means that the environmental data has affected the construction quality and the construction recommendations should be readjusted;

[0194] When the environmental impact index Eim ≤ the temperature and humidity threshold ETH, it means that the environmental data has no impact on the construction quality;

[0195] The feedback adjustment and resource optimization unit calculates the construction time variation ΔTadj and the resource adjustment coefficient ΔRjj according to the construction progress deviation Pde and the environmental impact index Eim, and adjusts the construction adjustment time Tadj and the resource input Rto in real time;

[0196] The construction time variation ΔTadj is obtained by the following formula:

[0197] ;

[0198] Where, Tremb represents the remaining construction time;

[0199] The resource adjustment coefficient ΔRjj is obtained by the following formula:

[0200] ;

[0201] Where, They represent the resource adjustment coefficient related to time delay and the resource adjustment coefficient related to environmental impact respectively.

[0202] The final result output and optimization report module includes an adjustment suggestion generation unit and an optimization report generation unit;

[0203] The adjustment suggestion generating unit obtains the construction process adjustment suggestion Aco according to the obtained construction progress deviation Pde, environmental impact index Eim and construction time change ΔTadj; obtains the material adjustment suggestion Ama according to the future strength growth SF, future temperature change ΔT and future humidity change ΔH; obtains the resource allocation suggestion Are according to the resource adjustment coefficient ΔRjj, future temperature change ΔT and future humidity change ΔH;

[0204] The adjustment suggestion Aco of the construction process is obtained by the following formula:

[0205] ;

[0206] Where f represents the construction adjustment suggestion function, which adjusts the construction steps and plans according to the construction progress deviation Pde, the environmental impact index Eim, and the construction time change ΔTadj;

[0207] The material adjustment suggestion Ama is obtained through the following formula:

[0208] ;

[0209] Where g represents the material adjustment suggestion function, which proposes material adjustment measures based on the future strength growth SF, the future temperature change ΔT, and the future humidity change ΔH;

[0210] The resource allocation suggestion Are is obtained by the following formula:

[0211] ;

[0212] Where h represents the resource allocation recommendation function, which adjusts the input of human and mechanical resources according to the resource adjustment coefficient ΔRjj, the future temperature change ΔT, and the future humidity change ΔH;

[0213] The optimization report generation unit receives the construction process adjustment suggestions Aco, material adjustment suggestions Ama and resource allocation suggestions Are from the adjustment suggestion generation unit, summarizes and combines them, converts them into a report format, and outputs a final report.

[0214] In this embodiment, the system uses a construction progress monitoring unit to collect construction progress data in real time, compare it with the planned progress, and calculate the construction progress deviation Pde. Simultaneously, it monitors environmental data in real time and calculates the environmental impact index Eim. This is then compared with preset temperature and humidity thresholds ETH to determine the construction quality status. This function provides real-time feedback on the impact of construction progress and environmental changes on construction quality, allowing timely identification of any impacts of construction progress deviations and environmental changes, and proactive adjustments to the construction plan. This reduces delays and quality issues caused by construction deviations or environmental factors, ensuring that the construction process proceeds efficiently and on schedule.

[0215] Based on the construction progress deviation Pde and the environmental impact index Eim, the feedback adjustment and resource optimization unit calculates the construction time change ΔTadj and the resource adjustment coefficient ΔRjj, and then adjusts the construction time and resource inputs. Especially when the environment fluctuates significantly, the system can dynamically adjust the construction time and resource allocation based on the new environmental data. This function provides immediate feedback and adjustment to the construction progress deviation and environmental impact, effectively optimizing the construction time and resource allocation. Especially in complex construction environments, it can dynamically respond to environmental changes, ensuring on-time project completion and optimal resource utilization. The adjustment suggestion generation unit compiles the construction process adjustment suggestions, material adjustment suggestions, and resource allocation suggestions into a final report to assist project managers and construction personnel in making decisions. The generated final report provides a complete set of adjustment plans, providing detailed decision-making basis for project managers. The standard format and comprehensive content of the report enable managers to quickly understand and respond to the construction adjustments, improving decision-making efficiency and ensuring the project is completed on time and with high quality as expected.

[0216] This embodiment forms a systematic construction process management framework through integrated environmental monitoring, progress comparison, feedback adjustment, and resource optimization. The collaborative work of all these modules ensures comprehensive optimization of the construction process. The systematic construction management process enables the management of all construction links and resource allocation on a unified platform, reducing delays and errors in information transmission and improving the accuracy and timeliness of construction scheduling. The collaborative work of the system not only improves construction efficiency, but also effectively controls construction costs and enhances the overall level of project management.

[0217] Example 5

[0218] A construction engineering detection method based on data analysis, please refer to Figure 2 , specifically: including the following steps:

[0219] Step 1: The environmental data acquisition and preprocessing module collects environmental data from the construction site in real time through sensors and performs data processing, including denoising and normalization, to obtain the data set W;

[0220] Step 2: The material property analysis and environmental correlation modeling module uses the data set W and combines the physical and chemical properties of building materials to establish a mathematical relationship model between material properties and environmental conditions to obtain the cement setting time Tcu and strength growth S;

[0221] Step 3: The environmental impact prediction and construction adjustment suggestion module predicts the future construction environment based on the cement setting time Tcu and strength growth S, and provides a prediction of the impact of environmental changes on the physical and chemical properties of materials, and proposes construction adjustment suggestions;

[0222] Step 4: The dynamic construction scheduling and resource allocation module dynamically adjusts the construction scheduling and resource allocation based on the proposed construction adjustment suggestions;

[0223] Step 5: The real-time monitoring and feedback adjustment module monitors construction progress and environmental changes in real time based on the adjusted construction schedule and resource allocation, provides feedback through updated environmental data, and adjusts operations during the construction process;

[0224] Step 6: The final result output and optimization report module generates a final report, including construction process adjustment suggestions, material adjustment suggestions and resource allocation suggestions.

[0225] In this embodiment, environmental data of the construction site is collected in real time by sensors, and the data is denoised and normalized to ensure the accuracy and comparability of the data. The environmental data collected in real time provides information on dynamic environmental changes at the construction site. Through denoising and normalization, data quality can be ensured, interference factors can be reduced, and the accuracy of subsequent analysis and prediction can be improved, thereby reducing construction risks caused by inaccurate environmental data. Based on the cement setting time Tcu and strength growth S, the impact of environmental changes on building materials is predicted, and construction adjustment suggestions are made based on the prediction results; by predicting future environmental changes, the system can adjust the construction plan in advance to avoid negative impacts on construction quality due to environmental changes. Specific adjustment suggestions can help the construction team optimize construction steps in real time to ensure that the project is completed on time and with high quality.

[0226] Based on construction adjustment suggestions, the system dynamically adjusts construction scheduling and resource allocation, including the rational deployment of manpower, machinery, and other resources. By dynamically adjusting construction scheduling and resource allocation, construction projects can more flexibly respond to environmental changes and deviations in the construction schedule. This improves construction efficiency, avoids delays and waste caused by excess or insufficient resources, and ensures optimal resource utilization at each construction stage.

[0227] Real-time monitoring of construction progress and environmental changes, along with feedback from updated environmental data, allows for adjustments to be made during construction. This allows for rapid identification of deviations or environmental factors impacting construction quality, allowing for timely adjustments. This reduces issues caused by environmental changes or deviations, helps construction teams respond quickly, and improves flexibility and adaptability.

[0228] Through steps 1 to 6 of this embodiment, this construction project detection method can comprehensively and in real time monitor various key factors in the construction process, such as environmental changes, construction progress, material properties, etc., and dynamically adjust construction strategies and resource allocation based on real-time data. This not only improves the flexibility and responsiveness of the construction process, but also reduces construction quality issues and risks, ensuring that construction is completed on time and efficiently. In addition, the automatically generated adjustment suggestions and optimization reports make construction management more scientific and efficient, thereby greatly improving the management level of the overall construction project and reducing the impact of uncertainty.

[0229] While 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 these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A construction engineering detection system based on data analysis, characterized by: It includes environmental data acquisition and preprocessing module, material property analysis and environmental correlation modeling module, environmental impact prediction and construction adjustment suggestion module, dynamic construction scheduling and resource allocation module, real-time monitoring and feedback adjustment module and final result output and optimization report module; The environmental data acquisition and preprocessing module collects environmental data of the construction site in real time through sensors, including temperature T and humidity H, and performs data processing, including denoising and normalization, to obtain a data set W; The material property analysis and environmental correlation modeling module establishes a mathematical relationship model between material properties and environmental conditions based on the data set W and the physical and chemical properties of the building materials to obtain the cement setting time Tcu and strength growth S; The material property analysis and environment association modeling module includes an environmental impact modeling unit and a material performance prediction unit; The environmental impact modeling unit performs correlation modeling on the dataset W and the physical and chemical properties of the building materials to determine the relationship between the environmental data and the material properties, wherein the physical and chemical properties of the building materials include cement setting time Tcu and strength growth S; Based on the data set W, the influence function of temperature T and humidity H on cement setting time Tcu and strength growth S is established. Temperature T and humidity H are used as input variables. Through data analysis, the relationship between temperature T, humidity H and cement setting time Tcu is fitted. The temperature and humidity influence model of the cement setting time Tcu is obtained by the following formula: ； Where Tre represents the solidification time at standard temperature, T0 represents the standard reference temperature, γ represents the sensitivity coefficient of temperature to solidification time, and δ represents the influence coefficient of humidity on solidification time. The material performance prediction unit predicts the physical and chemical properties of building materials under different environmental conditions based on the temperature and humidity influence model and in combination with the strength growth S of cement; Calculate the strength growth S under temperature and humidity changes, and use the strength growth curve combined with real-time environmental data to predict the strength of the material at different time points; The strength growth S of the cement is obtained by the following formula: ； Where S(t) represents the cement strength at time t, So represents the initial strength of cement, β represents the strength growth coefficient, and Tavg represents the average temperature; The environmental impact prediction and construction adjustment suggestion module predicts the impact of future environmental changes on the physical and chemical properties of the material based on the cement setting time Tcu and strength growth S, and proposes construction adjustment suggestions; The dynamic construction scheduling and resource allocation module dynamically adjusts construction scheduling and resource allocation according to the proposed construction adjustment suggestions; The real-time monitoring and feedback adjustment module monitors the construction progress and environmental changes in real time based on the adjusted construction scheduling and resource allocation, provides feedback through updated environmental data, and adjusts operations during the construction process; The final result output and optimization report module generates a final report including construction process adjustment suggestions, material adjustment suggestions and resource allocation suggestions.

2. A construction engineering detection system based on data analysis according to claim 1, characterized in that: The environmental data acquisition and preprocessing module includes a data acquisition unit and a data processing unit; The data acquisition unit collects environmental data of the construction site, including temperature T and humidity H, through a temperature sensor and a humidity sensor to form an original data set; the data processing unit performs denoising and normalization processing on the original data set to obtain a data set W; Denoising involves using low-pass filters and mean filtering methods to remove the noise present in the original data set; Normalization processing includes using normalization methods to perform normalization operations on the original data set.

3. A construction engineering detection system based on data analysis according to claim 2, characterized in that: The environmental impact prediction and construction adjustment suggestion module includes an environmental impact prediction unit and a construction adjustment suggestion unit; The environmental impact prediction unit predicts the impact of future environmental changes on the cement setting time Tcu and strength growth S based on the cement setting time Tcu and strength growth S. By combining environmental data with the physical and chemical properties of building materials, it predicts how the physical and chemical properties of building materials will change under different environmental data changes; Combine environmental data with the temperature and humidity impact model to calculate the future cement setting time TcuF and future strength growth SF; The future cement setting time TcuF is obtained by the following formula: ； Where ΔT represents the future temperature change, and ΔH represents the future humidity change; The future temperature change ΔT is obtained by the difference between the temperature T at time t+1 and the temperature T at time t; The future humidity change ΔH is obtained by the difference between the humidity H at time t+1 and the humidity H at time t; The future strength growth SF is obtained by the following formula: ； Where TavgF represents the average temperature predicted in the future.

4. A construction engineering detection system based on data analysis according to claim 3, characterized in that: The construction adjustment suggestion unit adjusts the construction according to the acquired future cement setting time TcuF and future strength growth SF, and obtains construction adjustment suggestions, including suggestions for delaying the construction time and suggestions for material ratios; Compare the future cement setting time TcuF with the safety threshold of cement setting time Tth to obtain a suggestion for delaying construction time; The delayed construction time is recommended to be obtained by matching in the following ways: When the future cement setting time TcuF ≤ the safety threshold Tth, the construction time will not be delayed; When the future cement setting time TcuF> the safety threshold Tth, it is recommended to delay the construction time. The construction delay time ΔTde is obtained by the difference between the future cement setting time TcuF and the safety threshold Tth. Compare the future strength growth SF with the standard cement strength value Smon to obtain material ratio recommendations; The material ratio is recommended to be obtained by matching in the following ways: When the future strength growth SF ≥ the standard value of cement strength Smon, the material ratio will not be adjusted; When the future strength growth SF is less than the standard value of cement strength Smon, it is recommended to adjust the material ratio, and the material ratio adjustment amount is ΔM; The material ratio adjustment amount ΔM is obtained by the following formula: ； Where k represents the ratio adjustment coefficient.

5. A construction engineering detection system based on data analysis according to claim 4, characterized in that: The dynamic construction scheduling and resource allocation module includes a construction scheduling optimization unit and a resource allocation optimization unit; The construction scheduling optimization unit adjusts the construction schedule based on dynamic environmental data and construction adjustment suggestions; Receive construction adjustment suggestions from the environmental impact prediction and construction adjustment suggestion module, including construction delay time suggestions and material ratio suggestions, and calculate and obtain the construction adjustment time Tadj; The construction adjustment time Tadj is obtained by the following formula: ； Where ΔTde represents the construction delay time, Tcu represents the cement setting time, and Twin represents the available time of the construction window.

6. The construction engineering detection system based on data analysis according to claim 4, characterized in that: The resource allocation optimization unit adjusts the allocation of human resources and mechanical resources based on the construction adjustment time Tadj; According to the construction adjustment time Tadj and construction progress, predict the resource requirements of each construction stage, adjust human and mechanical resources, arrange resource input, and calculate the resource input amount Rto; The resource input Rto is obtained by the following formula: ； Where Pi represents the number of personnel required for each construction stage, Mj represents the number of mechanical equipment required for each construction stage, i represents different construction stages, j represents different types of mechanical equipment, n represents the total number of construction stages, and m represents the number of types of mechanical equipment.

7. A construction engineering detection system based on data analysis according to claim 6, characterized in that: The real-time monitoring and feedback adjustment module includes a construction progress monitoring unit and a feedback adjustment and resource optimization unit; The construction progress monitoring unit collects construction progress data and environmental data in real time, compares them with the predetermined construction progress, determines the construction progress deviation Pde, detects environmental changes, obtains the environmental impact index Eim, compares it with the preset temperature and humidity threshold ETH, and determines the construction quality status; The construction progress deviation Pde is obtained by the following formula: ； Where Pcu represents the actual completion progress of the current construction phase, and Pex represents the completion progress of the scheduled construction phase; The environmental impact index Eim is obtained by the following formula: ； Where, They represent the influence coefficients of temperature and humidity on construction quality, ΔT represents the future temperature change, and ΔH represents the future humidity change; The construction quality status is obtained by matching in the following ways: When the environmental impact index Eim>temperature and humidity threshold ETH, it means that the environmental data has affected the construction quality and the construction recommendations should be readjusted; When the environmental impact index Eim ≤ the temperature and humidity threshold ETH, it means that the environmental data has no impact on the construction quality; The feedback adjustment and resource optimization unit calculates the construction time variation ΔTadj and the resource adjustment coefficient ΔRjj according to the construction progress deviation Pde and the environmental impact index Eim, and adjusts the construction adjustment time Tadj and the resource input Rto in real time; The construction time variation ΔTadj is obtained by the following formula: ； Where, Trem represents the remaining construction time; The resource adjustment coefficient ΔRjj is obtained by the following formula: ； Where, They represent the resource adjustment coefficients for time delay and environmental impact respectively.

8. The construction engineering detection system based on data analysis according to claim 7, characterized in that: The final result output and optimization report module includes an adjustment suggestion generation unit and an optimization report generation unit; The adjustment suggestion generating unit obtains the construction process adjustment suggestion Aco according to the obtained construction progress deviation Pde, environmental impact index Eim and construction time change ΔTadj; obtains the material adjustment suggestion Ama according to the future strength growth SF, future temperature change ΔT and future humidity change ΔH; obtains the resource allocation suggestion Are according to the resource adjustment coefficient ΔRjj, future temperature change ΔT and future humidity change ΔH; The adjustment suggestion Aco of the construction process is obtained by the following formula: ； Where, f represents the construction adjustment suggestion function; The material adjustment suggestion Ama is obtained through the following formula: ； Where g represents the material adjustment suggestion function; The resource allocation suggestion Are is obtained by the following formula: ； Where h represents the resource allocation recommendation function; The optimization report generation unit receives the construction process adjustment suggestions Aco, material adjustment suggestions Ama and resource allocation suggestions Are from the adjustment suggestion generation unit, summarizes and combines them, converts them into a report format, and outputs a final report.

9. A construction engineering detection method based on data analysis, applied to a construction engineering detection system based on data analysis as claimed in any one of claims 1 to 8, characterized in that: The following steps are involved: Step 1: The environmental data acquisition and preprocessing module collects environmental data from the construction site in real time through sensors and performs data processing, including denoising and normalization, to obtain the data set W; Step 2: The material property analysis and environmental correlation modeling module uses the data set W and combines the physical and chemical properties of building materials to establish a mathematical relationship model between material properties and environmental conditions to obtain the cement setting time Tcu and strength growth S; Step 3: The environmental impact prediction and construction adjustment suggestion module predicts the future construction environment based on the cement setting time Tcu and strength growth S, and provides a prediction of the impact of environmental changes on the physical and chemical properties of materials, and proposes construction adjustment suggestions; Step 4: The dynamic construction scheduling and resource allocation module dynamically adjusts the construction scheduling and resource allocation based on the proposed construction adjustment suggestions; Step 5: The real-time monitoring and feedback adjustment module monitors construction progress and environmental changes in real time based on the adjusted construction schedule and resource allocation, provides feedback through updated environmental data, and adjusts operations during the construction process; Step 6: The final result output and optimization report module generates a final report, including construction process adjustment suggestions, material adjustment suggestions and resource allocation suggestions.

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