Engineering construction quality safety risk management system

Abstract

The invention discloses an engineering construction quality safety risk management system, and belongs to the technical field of safety risks. Comprising a project management module, a quality safety risk management and control module, a compliance review and data analysis module, an integrated project management module, a risk identification and evaluation module, a risk prevention and control strategy module, a dynamic monitoring and early warning module, an accident handling and tracing module, a compliance review auditing module and a data analysis report module. According to the invention, basic information and design parameters of construction projects are collected through the project management module, a BIM model is established, construction simulation, conflict detection and resource optimization are carried out, an actual construction plan and schedule are formulated, multivariate data in the construction process are collected in real time, early recognition, evaluation and positioning of construction safety quality risks are realized by using the model, and the construction safety quality risk is evaluated and positioned. A risk prevention and control strategy is formulated, key parameters are monitored in real time, early warning is given out immediately when data exceed a threshold value, a risk model and prevention and control measures are improved, and efficiency and safety are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of safety risks, and specifically refers to an engineering construction quality and safety risk management system. Background Art

[0002] With the development of modern engineering design and construction technologies, engineering has become increasingly complex, with larger scales and involving numerous professional fields. This has led to an increased probability of quality and safety risks during the construction process, and the difficulty of control has also increased accordingly.

[0003] However, there are still certain defects in existing engineering construction. Existing engineering construction relies on manual inspections or regular spot checks, making it difficult to achieve real-time monitoring and early warning. There is insufficient identification of risk points such as concealed works and cross operations in complex construction environments, which is prone to missed inspections of potential safety hazards. Based on static rules and experience judgments, there is a lack of real-time analysis and intelligent response mechanisms for dynamic changing factors during the construction process, and it is unable to quickly formulate and adjust prevention and control strategies according to the actual situation. There are problems such as lax implementation of systems and untimely follow-up, and it is impossible to ensure that all construction activities are strictly carried out in accordance with laws, regulations, and industry standards. Therefore, an engineering construction quality and safety risk management system is proposed. Summary of the Invention

[0004] The purpose of the present invention is to provide an engineering construction quality and safety risk management system to solve the problems raised in the above background art.

[0005] To achieve the above purpose, the present invention provides the following technical solution: An engineering construction quality and safety risk management system, including a project management module, a quality and safety risk control module, and a compliance review and data analysis module.

[0006] Among them, the project management module includes an integrated project management module.

[0007] Among them, the quality and safety risk control module includes a risk identification and assessment module, a risk prevention and control strategy module, a dynamic monitoring and early warning module, and an accident handling and traceability module.

[0008] Among them, the compliance review and data analysis module includes a compliance review and audit module, and a data analysis report module.

[0009] Among them, the project management module is responsible for managing project information, including work in aspects such as project planning, organization, progress, and cost, tracking the real-time progress, managing resource allocation, and completing the project according to the predetermined quality standards, time, and budget targets.

[0010] Among them, the quality and safety risk control module is used to identify and evaluate various safety and quality risks that may occur during the construction process. By collecting and analyzing the data on the construction site, it determines the risk level, occurrence probability, and influence scope, formulates risk prevention and control strategies, monitors the construction in real time and dynamically, and immediately issues early warnings and intervention and remedial measures once there are risks;

[0011] Among them, the compliance review and data analysis module is used to review various types of documents during the construction process to ensure compliance with regulations and standards, collate and analyze the comprehensive construction data, generate visual reports and analysis reports, and provide the decision-making level with a clear risk situation and suggestions.

[0012] Among them, the project management module includes an integrated project management module;

[0013] Among them, the specific operation method of the integrated project management module includes the following steps:

[0014] A1: Obtain the basic information of the construction project and the relevant parameter information of the engineering and structural designs, and establish a BIM model;

[0015] A2: Import the project plan data into the BIM model for construction simulation, and simulate different construction stages in a predetermined time sequence;

[0016] A3: Detect and identify the design conflicts in the BIM model, analyze the detected conflicts, and adjust the plan to eliminate the conflicts;

[0017] A4: Optimize the preliminary construction plan data and the information related to construction resources and site conditions in the BIM model;

[0018] A5: Generate a practical construction schedule based on the optimization results.

[0019] By establishing and simulating the construction process, design conflicts can be discovered and resolved in advance, the construction plan and resource allocation can be optimized, thereby reducing construction delays and cost overruns and ensuring the smooth implementation of the project.

[0020] Among them, the quality and safety risk control module includes a risk identification and assessment module, a risk prevention and control strategy module, a dynamic monitoring and early warning module, and an accident handling and traceability module;

[0021] Among them, the specific operation method of the risk identification and assessment module includes the following steps:

[0022] B1: Obtain in real time according to the data provided by the integrated project management module, including environmental monitoring, equipment operation data, and personnel behavior data, and process the obtained data;

[0023] B2: Clean the preprocessed data, handle and fill in outliers, extract key features of risks from the data, and construct a risk database;

[0024] B3: Divide the data in the risk database into a training set, a validation set, and a test set;

[0025] B4: Extract risk features based on the training set data, train the risk identification model, and optimize it by adjusting model parameters;

[0026] B5: Evaluate the model through the validation set and the test set;

[0027] B6: Input the data collected on-site into the trained risk identification model to obtain the current risk level and predicted location, and evaluate the risk level, probability, and impact degree.

[0028] The risk identification and assessment module can accurately identify potential safety and quality risks by collecting and analyzing big data on the construction site in real time, take preventive measures in advance, and reduce the accident rate.

[0029] Among them, for the said B4, let the spatio-temporal sequence data be T = {S 1 , S 2 ,... S i}, where S i represents the full-field spatial data at the i-th moment. The spatio-temporal sequence feature extraction formula is:

[0030] F i = STCNN(S i , W st ) (1),

[0031] In formula (1), F i represents the extracted spatio-temporal feature vector, and W st represents the spatio-temporal convolution kernel parameters;

[0032] According to the spatio-temporal feature F i extracted in formula (1), perform adaptive weighted fusion of multiple risk factors on F i for risk prediction. The implementation formula is:

[0033]

[0034] In formula (2), R represents the risk score, n represents the feature dimension, f i (F i ) represents the score of the i-th feature, and a i represents the attention weight of the feature;

[0035] Train the model according to the risk score in formula (2). Let the loss function be L. The implementation formula is:

[0036]

[0037] In formula (3), θ represents the model parameters, m represents the number of training samples, y j represents the true label of the j-th sample, and R j represents the risk probability predicted by the model, and λ represents the weight of the regularization term, represents the regularized model parameters;

[0038] Formula (3) updates the model parameters using backpropagation, and the implementation formula is:

[0039]

[0040] In formula (4), η represents the learning rate, represents the gradient with respect to the model parameter θ, which helps the model continuously self-iterate and optimize, improving the accuracy and reliability of risk identification.

[0041] For the spatio-temporal sequence analysis method, the system can more accurately capture the characteristics of risk changes over time and space, and then through model training and optimization, accurately evaluate the risk level and location.

[0042] Among them, the risk prevention and control strategy module analyzes according to the results output by risk identification, conducts a detailed analysis of the output risk type, risk level, occurrence probability, and impact degree, and formulates risk prevention and control strategies according to the risk characteristics;

[0043] Combined with each stage of project management according to the formulated risk prevention and control strategies, risk avoidance measures are taken during project planning, real-time monitoring is carried out according to the risk prevention and control strategies transmitted to the project management process, the risk prevention and control strategies are adjusted in real time according to the evaluation results, combined with the risk identification results, risk prevention and control strategies with strong pertinence and operability are formulated, and they are integrated into the entire project management process to achieve real-time monitoring and dynamic adjustment, making risk management more effective.

[0044] Among them, the dynamic monitoring and early warning module identifies the key parameters that need to be monitored in real time according to the integrated project management and risk prevention and control strategies, sets the warning thresholds of each key parameter according to the specific situation of the project, continuously conducts comparative analysis on the real-time collected data, immediately triggers an alarm when the monitored data exceeds the warning threshold, and the warning information is notified to the management personnel through text messages and data analysis reports.

[0045] The dynamic monitoring and early warning module can monitor the construction status in real time, give early warnings and trigger intervention measures in a timely manner, improving the risk response speed and emergency handling ability at the construction site.

[0046] Among them, when an accident occurs, the accident handling and traceability module immediately collects and records accident-related information, analyzes it, integrates all the collected information, combines simulation to analyze the accident cause, conducts accident report investigation according to the analysis results, inputs the accident cause and rectification measures into the risk identification model, updates preventive measures and emergency plans, and takes remedial measures after the failure of risk prevention and control.

[0047] The accident handling and traceability module helps to quickly respond to accidents, improve preventive measures and emergency plans through accident cause analysis, and enhance the closed-loop of safety management.

[0048] Among them, during the project planning and project establishment stage, the compliance review and audit module conducts compliance reviews on project feasibility study reports, design plans, bidding documents, etc. against laws, regulations, policies and standard systems, and combines with the risk prevention and control strategy module to conduct compliance reviews on the established risk prevention and control measures to ensure their legality and effectiveness. It formulates a detailed compliance audit plan, rectifies the problems found in the compliance audit, and feeds back the rectification results to the risk identification model, ensuring strict compliance with laws, regulations and industry standards throughout the construction process, reducing the risk of violations, and ensuring project quality and construction safety.

[0049] Among them, the data analysis and reporting module integrates the data of each module to form a risk management data set, conducts data analysis on the data set, generates visual reports and analysis reports according to the data analysis results, and puts forward improvement suggestions and decisions. Through the integrated analysis of massive data, it can generate intuitive and easy-to-understand visual reports and analysis reports, providing a decision-making basis for management and promoting the scientificity and accuracy of risk management.

[0050] Compared with the prior art, the beneficial effects of the present invention are:

[0051] 1. The present invention uses the BIM model for the whole life cycle management of construction projects through the integrated project management module, including model establishment, conflict detection, construction simulation and resource optimization, which can foresee and solve design conflicts in advance, reasonably arrange the construction plan, thereby reducing changes, saving costs, improving construction efficiency and safety;

[0052] 2. The present invention sets key parameter thresholds according to the risk prevention and control strategy through the dynamic monitoring and early warning module, monitors in real time and issues early warnings in a timely manner, enabling management to take countermeasures immediately and effectively preventing the escalation of risks;

[0053] 3. The present invention uses advanced data processing, feature extraction and machine learning algorithms through the quality and safety risk control module to build a risk identification model, realizing real-time monitoring, accurate early warning, timely intervention of safety and quality risks during the construction process, as well as traceability analysis of accidents and update of prevention and control strategies, which helps to reduce the occurrence probability of safety accidents;

[0054] 4. The compliance review and audit module of the present invention ensures that all stages of the project life cycle comply with regulatory policies and standard requirements, strengthens the legality of risk management, and feeds back the compliance audit results to the risk identification model to form a closed quality and safety management loop, ensuring the compliance and effectiveness of risk prevention and control measures and strengthening the legal risk prevention ability. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 It is a schematic structural diagram of a quality and safety risk management system for engineering construction according to the present invention;

[0056] Figure 2 It is a flowchart of the operation of a quality and safety risk management system for engineering construction according to the present invention;

[0057] Figure 3 It is a flowchart of the operation of the project management module of a quality and safety risk management system for engineering construction according to the present invention;

[0058] Figure 4 It is a flowchart of the operation of the quality and safety risk control module in a quality and safety risk management system for engineering construction according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0059] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0060] Embodiment

[0061] Please refer to Figures 1-4 As shown, the present invention provides a technical solution: including a project management module, a quality and safety risk control module, and a compliance review and data analysis module;

[0062] Among them, the project management module includes an integrated project management module;

[0063] Among them, the quality and safety risk control module includes a risk identification and assessment module, a risk prevention and control strategy module, a dynamic monitoring and early warning module, and an accident handling and traceability module;

[0064] Among them, the compliance review and data analysis module includes a compliance review and audit module and a data analysis report module;

[0065] Among them, the project management module is responsible for managing project information, including work in aspects such as project planning, organization, progress, and cost, tracking the real-time progress, managing resource allocation, and completing the project according to the predetermined quality standards, time, and budget targets;

[0066] Among them, the quality and safety risk control module is used to identify and evaluate various potential safety and quality risks during the construction process. By collecting and analyzing data on the construction site, determine the risk level, occurrence probability, and impact scope to formulate risk prevention and control strategies, dynamically monitor the construction in real time, and immediately issue early warnings and intervention and remedial measures once there are risks;

[0067] Among them, the compliance review and data analysis module is used to review various types of documents during the construction process to ensure compliance with regulations and standards, organize and analyze the comprehensive construction data, generate visual reports and analysis reports, and provide a clear risk situation and suggestions for the decision-making level.

[0068] Among them, the project management module includes an integrated project management module;

[0069] Among them, the specific operation method of the integrated project management module includes the following steps:

[0070] A1: Obtain the basic information of the construction project and relevant parameter information of the engineering and structural designs, and establish a BIM model;

[0071] A2: Import the project plan data into the BIM model for construction simulation, and simulate different construction stages in a predetermined time sequence;

[0072] A3: Detect and identify design conflicts in the BIM model, analyze the detected conflicts, and adjust the plan to eliminate the conflicts;

[0073] A4: Optimize the preliminary construction plan data and the construction resource and site condition-related information in the BIM model;

[0074] A5: Generate a practical construction schedule based on the optimization results.

[0075] By establishing and simulating the construction process, discover and resolve design conflicts in advance, optimize the construction plan and resource allocation, thereby reducing construction delays and cost overruns, and ensuring the smooth implementation of the project.

[0076] Among them, the quality and safety risk control module includes a risk identification and assessment module, a risk prevention and control strategy module, a dynamic monitoring and early warning module, and an accident handling and traceability module;

[0077] Among them, the specific operation method of the risk identification and assessment module includes the following steps:

[0078] B1: Obtain in real time according to the data provided by the integrated project management module, including environmental monitoring, equipment operation data, and personnel behavior data, and process the obtained data;

[0079] B2: Clean the preprocessed data, handle and fill in outliers, extract key risk features from the data, and build a risk database;

[0080] B3: Divide the data in the risk database into a training set, a validation set, and a test set;

[0081] B4: Extract risk features based on the training set data, train the risk identification model, and optimize it by adjusting the model parameters;

[0082] B5: Evaluate the model through the validation set and the test set;

[0083] B6: Input the data collected on-site into the trained risk identification model to obtain the current risk level and predicted location, and evaluate the risk level, probability, and impact degree.

[0084] Through the real-time collection and analysis of big data on the construction site, the risk identification and assessment module can accurately identify potential safety and quality risks, take preventive measures in advance, and reduce the accident rate.

[0085] Among them, in the said B4, let the spatio-temporal sequence data be T = {S 1 , S 2 ,... S i}, S i represents the full-field spatial data at the i-th moment, and the spatio-temporal sequence feature extraction formula is:

[0086] F i = STCNN(S i , W st ) (1),

[0087] In formula (1), F i represents the extracted spatio-temporal feature vector, and W st represents the spatio-temporal convolution kernel parameter;

[0088] According to the spatio-temporal feature F i extracted in formula (1), perform adaptive weighted fusion of multiple risk factors on F i for risk prediction, and the implementation formula is:

[0089]

[0090] In formula (2), R represents the risk score, n represents the feature dimension, and f i (F i) represents the score of the i-th feature, a i represents the attention weight of the feature;

[0091] According to formula (2), the risk score is used for model training. Let the loss function be L, and the implementation formula is:

[0092]

[0093] In formula (3), θ represents the model parameters, m represents the number of training samples, y j represents the true label of the j-th sample, R j represents the risk probability predicted by the model, λ represents the weight of the regularization term, represents the regularized model parameters;

[0094] Formula (3) updates the model parameters using backpropagation, and the implementation formula is:

[0095] θ = θ - η▽ θ L(θ)(4),

[0096] In formula (4), η represents the learning rate, ▽ θ represents the gradient with respect to the model parameters θ, which helps the model continuously self-iterate and optimize, improving the accuracy and reliability of risk identification.

[0097] For the spatio-temporal sequence analysis method, the system can more accurately capture the characteristics of risk changes over time and space, and then through model training and optimization, accurately evaluate the risk level and location.

[0098] Among them, the risk prevention and control strategy module analyzes according to the results output by risk identification, conducts a detailed analysis of the output risk type, risk level, occurrence probability, and impact degree, and formulates risk prevention and control strategies according to the risk characteristics;

[0099] Combined with the risk prevention and control strategies formulated in each stage of project management, risk avoidance measures are taken during project planning, real-time monitoring is carried out according to the risk prevention and control strategies transmitted to the project management process, the risk prevention and control strategies are adjusted in real time according to the evaluation results, combined with the risk identification results, risk prevention and control strategies with strong pertinence and operability are formulated, and they are integrated into the entire project management process to achieve real-time monitoring and dynamic adjustment, making risk management more effective.

[0100] Among them, the dynamic monitoring and early warning module identifies the key parameters that need to be monitored in real time according to the integrated project management and risk prevention and control strategies, sets the warning thresholds of each key parameter according to the specific situation of the project, continuously conducts comparative analysis on the real-time collected data, and immediately triggers an alarm when the monitored data exceeds the warning threshold. The warning information is notified to the management personnel through text messages and data analysis reports.

[0101] The dynamic monitoring and early warning module can monitor the construction status in real time, give early warnings in a timely manner and trigger intervention measures, improving the risk response speed and emergency handling ability at the construction site.

[0102] Among them, when an accident occurs, the accident handling and traceability module immediately collects and records accident-related information and conducts analysis, integrates all the collected information, combines simulation to analyze the cause of the accident, conducts accident report investigation according to the analysis results, inputs the cause of the accident and rectification measures into the risk identification model, updates preventive measures and emergency plans, and takes remedial measures after the failure of risk prevention and control.

[0103] The accident handling and traceability module helps to quickly respond to accidents, improves preventive measures and emergency plans through accident cause analysis, and enhances the closed-loop of safety management.

[0104] Among them, in the project planning and project establishment stage, the compliance review and audit module conducts compliance reviews on project feasibility study reports, design plans, bidding documents, etc. against laws, regulations, policies and standard systems, combines with the risk prevention and control strategy module to conduct compliance reviews on the formulated risk prevention and control measures to ensure their legality and effectiveness, formulates a detailed compliance audit plan, rectifies the problems found in the compliance audit, and feeds back the rectification results to the risk identification model, ensuring strict compliance with laws, regulations and industry standards throughout the construction process, reducing the risk of violations, and ensuring project quality and construction safety.

[0105] Among them, the data analysis and reporting module integrates the data of each module to form a risk management data set, conducts data analysis on the data set, generates visual reports and analysis reports according to the data analysis results, puts forward improvement suggestions and decisions. Through the integrated analysis of massive data, it can generate intuitive and easy-to-understand visual reports and analysis reports, providing a decision-making basis for management and promoting the scientificity and accuracy of risk management.

[0106] In this example, specifically: the project management module includes an integrated project management module; among them, the specific operation method of the integrated project management module includes the following steps:

[0107] A1: Obtain the basic information of the construction project and relevant parameter information of engineering and structural design, and establish a BIM model;

[0108] A2: Import project plan data into the BIM model for construction simulation, and simulate different construction stages in a predetermined time sequence;

[0109] A3: Detect and identify design conflicts in the BIM model, analyze the detected conflicts and adjust the plan to eliminate the conflicts;

[0110] A4: Optimize the preliminary construction plan data and the information related to construction resources and site conditions in the BIM model;

[0111] A5: Generate an operational construction schedule based on the optimization results.

[0112] In this example, specifically: the quality and safety risk control module includes a risk identification and assessment module, a risk prevention and control strategy module, a dynamic monitoring and early warning module, and an accident handling and traceability module;

[0113] Among them, the specific operation method of the risk identification and assessment module includes the following steps:

[0114] B1: Obtain data in real time according to the data provided by the integrated project management module, including environmental monitoring, equipment operation data, and personnel behavior data, and process the obtained data;

[0115] B2: Clean the preprocessed data, process and fill in the outliers, extract the key features of the risk from the data, and construct a risk database;

[0116] B3: Divide the data in the risk database into a training set, a validation set, and a test set;

[0117] B4: Extract risk features based on the training set data, train the risk identification model, and optimize it by adjusting the model parameters;

[0118] B5: Evaluate the model through the validation set and the test set;

[0119] B6: Input the data collected on-site into the trained risk identification model to obtain the current risk level and predicted location, and evaluate the risk level, probability, and impact degree.

[0120] In this example, specifically: for B4, let the spatio-temporal sequence data be T = {S 1 , S 2 ,... S i}, where S i represents the full-field spatial data at the i-th moment, and the spatio-temporal sequence feature extraction formula is:

[0121] F i = STCNN(S i , W st )(1),

[0122] In formula (1), F i represents the extracted spatio-temporal feature vector, and W st represents the spatio-temporal convolution kernel parameter;

[0123] According to the spatio-temporal feature F i extracted in formula (1), for F iAdaptive weighted fusion of multiple risk factors is performed for risk prediction, and the implementation formula is:

[0124]

[0125] In formula (2), R represents the risk score, n represents the feature dimension, and f i (F i ) represents the score of the i-th feature, and a i represents the attention weight of the feature;

[0126] Model training is performed based on the risk score in formula (2). Let the loss function be L, and the implementation formula is:

[0127]

[0128] In formula (3), θ represents the model parameters, m represents the number of training samples, y j represents the true label of the j-th sample, R j represents the risk probability predicted by the model, λ represents the weight of the regularization term, represents the regularized model parameters;

[0129] Formula (3) updates the model parameters using backpropagation, and the implementation formula is:

[0130]

[0131] In formula (4), η represents the learning rate, represents the gradient with respect to the model parameters θ.

[0132] Working principle: By collecting project information, a BIM model is constructed, project plan data is imported into the BIM model, the construction process is simulated and problems occurring during the construction process are solved, the construction plan and resource allocation are optimized, and finally a construction schedule is generated to guide actual operations;

[0133] Collect multi-dimensional information such as environment, equipment, and personnel behavior based on the data sources provided by the integrated project management module. After data processing, cleaning, and feature extraction, construct a risk database, and use machine learning methods to train a risk identification model to predict the risk level, location, probability, and impact degree. Set the warning thresholds for each key parameter according to the specific situation of the project, and compare and analyze the real-time construction data collected. When the monitored data exceeds the threshold, trigger a warning and promptly notify the management personnel to take countermeasures. Respond quickly after an accident occurs, collect and analyze accident data, simulate and reproduce the cause of the accident, and accordingly update the risk identification model, improve preventive measures and emergency plans. Review project documents against laws, regulations, and standards in the early stage of the project, and combine with the legality review of risk control strategies to develop a compliance audit plan. Rectify the problems found and feedback the results to the risk identification model. Integrate the data generated by all modules to form a risk management data set, conduct in-depth data analysis, generate visual reports and analysis reports, and provide the decision-making level with a clear risk situation, improvement suggestions, and subsequent action plans.

[0134] Although the embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

[0135] The above description of the present invention and its embodiments is not restrictive. What is shown in the drawings is only one of the embodiments of the present invention, and the actual structure is not limited thereto. In general, if those of ordinary skill in the art are inspired by it and design similar structural methods and embodiments without creative efforts without departing from the purpose of the present invention, they shall fall within the protection scope of the present invention.

Claims

1. A construction quality safety risk management system, characterized by: Including project management module, quality and safety risk control module, compliance review and data analysis module; Wherein, the project management module includes an integrated project management module; Among them, the quality and safety risk management and control module includes a risk identification and assessment module, a risk prevention and control strategy module, a dynamic monitoring and early warning module, and an accident handling and tracing module; Wherein, the compliance review and data analysis module includes a compliance review and audit module and a data analysis and reporting module; The project management module is responsible for managing project information, including project planning, organization, progress, and cost, tracking real-time progress, and managing resource allocation, so that projects are completed according to predetermined quality standards, time, and budget targets; The quality and safety risk control module is used to identify and evaluate various safety and quality risks that may occur during the construction process at an early stage. By collecting and analyzing construction site data, the risk level, probability of occurrence and scope of impact are determined. According to the risk identification results, risk prevention and control strategies are formulated, and construction is monitored in real time and dynamically. Once there is a risk, early warnings and intervention remedial measures are immediately issued; Among them, the compliance review and data analysis module is used to review various documents in the construction process to ensure compliance with laws and standards, organize and analyze comprehensive construction data, generate visual reports and analysis reports, and provide risk status and recommendations to decision-makers.

2. The engineering construction quality safety risk management system according to claim 1 is characterized by: The project management module includes an integrated project management module; The specific operation method of the integrated project management module includes the following steps: A1: Obtain basic information of the construction project, including engineering and structural design-related parameter information obtained by IoT devices, and establish a BIM model; A2: Import the BIM model according to the project plan data for construction simulation, and simulate different construction stages in a predetermined time sequence; A3: Detect and identify design conflicts in the BIM model, analyze the detected conflicts and adjust the solutions to eliminate them; A4: Optimize the preliminary construction plan data and the construction resources and site conditions information in the BIM model; A5: Generate a practical construction schedule based on the optimization results.

3. The engineering construction quality safety risk management system according to claim 1 is characterized by: The quality and safety risk management and control module includes a risk identification and assessment module, a risk prevention and control strategy module, a dynamic monitoring and early warning module, and an accident handling and tracing module; The specific operation method of the risk identification and assessment module includes the following steps: B1: Real-time acquisition of data provided by the integrated project management module, including environmental monitoring, equipment operation data, and personnel behavior data, and data processing of the acquired data; B2: Clean the processed data, process and fill in outliers, extract key risk features from the data, and build a risk database; B3: Divide the data in the risk database into training set, validation set and test set; B4: Extract risk features based on training set data, train the risk identification model, and optimize it by adjusting model parameters; B5: Evaluate the model using the validation set and test set; B6: Input the data collected on-site into the trained risk identification model to obtain the current risk level and predicted location, and evaluate the risk level, probability and impact.

4. The engineering construction quality safety risk management system according to claim 3 is characterized by: In B4, suppose the spatiotemporal sequence data is T = {S1, S2, ... S i },S i Represents the full-field spatial data at the i-th moment, and the spatiotemporal sequence feature extraction formula is: F i =STCNN(S i ,W st )(1), In formula (1), F i represents the extracted spatiotemporal feature vector, W st Represents the spatiotemporal convolution kernel parameters; According to the spatiotemporal feature F extracted from formula (1), i , for F i Adaptively weighted fusion of multiple risk factors is performed to predict risk. The implementation formula is: In formula (2), R represents the risk score, n represents the feature dimension, and f i (F i ) represents the score of the i-th feature, a i Represents the attention weight of the feature; The model is trained based on the risk score according to formula (2), and the loss function is set to L. The implementation formula is: In formula (3), θ represents the model parameters, m represents the number of training samples, and y j represents the true label of the jth sample, R j represents the risk probability predicted by the model, λ represents the weight of the regularization term, represents the regularization model parameters; Formula (3) uses back propagation to update the model parameters, and the implementation formula is: In formula (4), η represents the learning rate, represents the gradient with respect to the model parameters θ.

5. The engineering construction quality safety risk management system according to claim 3 is characterized by: The risk prevention and control strategy module analyzes the output results of risk identification, conducts a detailed analysis of the output risk type, risk level, probability of occurrence, and impact, and formulates a risk prevention and control strategy based on the risk characteristics; According to the formulated risk prevention and control strategy combined with each stage of project management, risk avoidance measures are taken during project planning, real-time monitoring is carried out according to the risk prevention and control strategy transmitted to the project management process, and the risk prevention and control strategy is adjusted in real time according to the evaluation results.

6. The engineering construction quality safety risk management system according to claim 3 is characterized by: The dynamic monitoring and early warning module identifies key parameters that need to be monitored in real time according to the integrated project management and risk prevention and control strategies, sets early warning thresholds for each key parameter according to the specific circumstances of the project, and continuously compares and analyzes the data collected in real time. When the monitoring data exceeds the early warning threshold, an early warning is immediately triggered, and the early warning information is notified to the management personnel via text messages and data analysis reports.

7. The engineering construction quality safety risk management system according to claim 3 is characterized by: The accident handling tracing module immediately collects and records accident-related information when an accident occurs, integrates all collected information, combines simulation analysis with accident causes, conducts accident report investigations based on the analysis results, inputs accident causes and corrective measures into the risk identification model, updates preventive measures and emergency plans, and takes remedial measures after risk prevention and control fails.

8. The engineering construction quality safety risk management system according to claim 1 is characterized by: During the project planning and establishment stages, the compliance review and audit module conducts compliance reviews of project feasibility study reports, design plans, and bidding documents against laws, regulations, policies, and standards systems. Combined with the risk prevention and control strategy module, it conducts compliance reviews of established risk prevention and control measures to ensure their legality and effectiveness, develops a detailed compliance audit plan, rectifies issues discovered during the compliance audit, and feeds back the rectification results to the risk identification model.

9. The engineering construction quality safety risk management system according to claim 1 is characterized by: The data analysis report module integrates the data from each module to form a risk management data set, performs data analysis on the data set, generates visual reports and analysis reports based on the data analysis results, and puts forward improvement suggestions and decisions.

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