Intelligent construction and digital monitoring integrated method

Abstract

The invention relates to the technical field of intelligent construction, and discloses an intelligent construction and digital monitoring integrated method, which comprises the following steps of: 1, establishing a set of complete project planning scheme by using a BIM (Building Information Modeling) technology to provide data support for implementation of a project, 2, selecting a proper intelligent construction monitoring system and matched equipment, and 3, carrying out intelligent construction and digital monitoring. The method comprises the following steps of: 1, selecting a proper digital monitoring module and matched equipment, 4, monitoring and managing on-site personnel in real time by using the digital monitoring module, 5, monitoring on-site equipment in real time by using the digital monitoring module, and 6, monitoring on-site equipment by using the digital monitoring module. And the monitoring data analysis unit is used for analyzing the monitoring data of the personnel monitoring unit and the equipment monitoring unit. Through the monitoring data analysis unit, real-time identity verification can be carried out on personnel operating equipment through the personnel monitoring unit, and whether violation or danger exists or not is judged through the equipment monitoring unit, so that the safety of personnel and equipment in an engineering field is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of smart construction, and in particular to a method for integrating smart construction with digital monitoring. Background Art

[0002] The country vigorously advocates and promotes smart construction. The core of smart construction is to use digital technology and intelligent tools to optimize the construction process, improve efficiency, quality and safety, reduce costs and risks, and improve the building ecosystem.

[0003] The existing smart construction system still relies on traditional sensors and manual inspections for data collection, which is unable to achieve comprehensive, real-time and accurate data collection of the construction process, resulting in insufficient data collection and shallow data analysis. In addition, the existing smart construction system is unable to effectively discover and prevent problems and risks in the construction process, resulting in increased costs and risks in the construction process, and may even cause safety accidents, affecting the safety of the construction process. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention provides a method for integrating smart construction and digital monitoring, which solves the problems of insufficient data collection and shallow data analysis in the existing smart construction system, and is unable to effectively discover and prevent problems and risks in the construction process.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a method for integrating smart construction and digital monitoring, comprising the following steps:

[0006] Step 1: In the project planning stage, use BIM technology to digitally design and simulate the project plan and parameters, evaluate the feasibility and risks of the project, and establish a complete project planning plan. The obtained project planning plan data is transmitted to the smart construction monitoring system to provide data support for the implementation of the project;

[0007] Step 2: According to the scale of the project planning, select the appropriate smart construction monitoring system and supporting equipment, including project construction monitoring module, digital monitoring module, cloud communication module, and system data storage module;

[0008] Step 3: According to the scale of the project planning, select appropriate digital monitoring modules and supporting equipment, including personnel monitoring unit, equipment monitoring unit, monitoring data analysis unit, and monitoring data storage unit;

[0009] Step 4: During the project construction process, use the digital monitoring module to monitor and manage the personnel on site in real time through various sensors and devices in the personnel monitoring unit;

[0010] Step 5: During the construction of the project, use the digital monitoring module to monitor the equipment on site in real time through various sensors and devices in the equipment monitoring unit;

[0011] Step 6: During the project construction process, the monitoring data analysis unit is used to analyze the monitoring data of the personnel monitoring unit and the equipment monitoring unit. According to the analysis structure, it is selected whether to enable the warning control unit to issue an alarm and lock the equipment that is illegally operated. The analysis data results will be uploaded to the project construction monitoring module in real time;

[0012] Step 7: During the project construction process, the project construction monitoring module is used to analyze the real-time data of the digital monitoring module to detect abnormalities in the project and analyze the progress of the project. The obtained analysis data is displayed on the local terminal, and the analysis data is also uploaded to the cloud communication module and the system data storage module in real time.

[0013] Step 8: Use the cloud communication module to upload the analysis data of the project construction monitoring module to the cloud system in real time for display;

[0014] Step nine: Use the system data storage module to classify and store the obtained analysis data and perform cloud backup to provide a data foundation for the subsequent management and operation of the project.

[0015] A smart construction monitoring system of the present invention is used to implement the above-mentioned smart construction and digital monitoring integration method, including:

[0016] A project construction monitoring module, which is used to monitor and compare project planning data and actual monitoring data, and to convert real-time monitoring data into visual data and transmit it to a local terminal and a cloud system for display;

[0017] A digital monitoring module, which can monitor and collect on-site personnel and equipment information in real time through a variety of devices, and compare it with the project planning data, determine whether to issue an alarm and equipment lock command based on the comparison data results, and send the comparison data results to the project construction monitoring module;

[0018] A cloud communication module, which is used to implement remote control of the project construction monitoring module by the cloud system and receive real-time monitoring data for cloud display;

[0019] A construction data storage module is used to store project planning data, organize and classify data from the project construction monitoring module and the digital monitoring module, and perform local storage and cloud backup operations on the organized data.

[0020] Preferably, the project construction monitoring module includes:

[0021] A project data monitoring unit, which is used to compare project planning data with actual monitoring data, and to promptly detect and feedback data anomalies and errors;

[0022] A project progress analysis unit, which is used to analyze the project progress and deviation reasons based on the project planning data and actual monitoring data, and to put forward suggestions for progress adjustment and optimization;

[0023] The data visualization unit is used to visualize the project planning data and the actual monitoring data, and transmit them to the local terminal and the cloud system for display and sharing.

[0024] Preferably, the digital monitoring module comprises:

[0025] A personnel monitoring unit, which is used to monitor and manage personnel on site in real time;

[0026] Equipment monitoring unit, which is used to monitor and collect information about the equipment and environment on site in real time;

[0027] A monitoring data analysis unit, which is used to analyze the monitoring data of the personnel monitoring unit and the equipment monitoring unit, and upload the analysis data results to the construction monitoring module;

[0028] An alarm control unit is used to issue an alarm and a device locking instruction according to the indication data of the monitoring data analysis unit.

[0029] Preferably, the personnel monitoring unit includes a monitoring device with a face recognition function, an attendance device, an identity recognition sensor device, and a personnel information collection and uploading device, which is used to identify and record the identity, location, and status of the on-site personnel, and upload the data to the monitoring data analysis unit;

[0030] Among them, the personnel monitoring unit uses the face recognition algorithm to match the information of the on-site personnel of the monitoring center in real time. Assume that the face image in the personnel monitoring unit is I, and the personnel information in the comparison data is P, which contains each person's name and face feature vector. The goal is to find the face in I that matches the personnel information in P, or to determine that the face in I does not belong to anyone in P. The specific algorithm is as follows:

[0031] Perform face detection on I to obtain the face region F, perform face alignment on F to obtain the aligned face image A, perform face encoding on A to obtain the face feature vector v, and perform face feature vector u on each person in P. i , calculate the cosine similarity with v;

[0032]

[0033] Find the maximum similarity And the corresponding person's name n max ;

[0034] If s max If it is greater than a certain threshold t, then it is determined that the face in I is the same as the face in P. max Match, otherwise it is judged that the face in I does not belong to anyone in P.

[0035] Preferably, the equipment monitoring unit includes an equipment location monitoring device, an equipment status monitoring device, and an equipment information collection and uploading device, which are used to identify and record the location and operating status of the on-site equipment and upload the data to the monitoring data analysis unit;

[0036] Among them, the equipment monitoring unit monitors the on-site equipment through the equipment status monitoring algorithm. The specific algorithm is as follows:

[0037] Assume that the various sensor data in the equipment monitoring unit are, the equipment parameters and configurations in the project planning scheme data are, and the goal is to determine whether the equipment is in normal operation or whether there is an abnormal or dangerous situation;

[0038] Clean and preprocess the data to remove noise and outliers and obtain valid data E;

[0039] Perform feature extraction on the device to obtain the operation feature vector of the device;

[0040] Perform feature extraction on the device to obtain the normal feature vector of the device;

[0041] Perform Mahalanobis distance calculation on and to obtain the state distance of the device;

[0042]

[0043] Where is the covariance matrix;

[0044] If it is less than a certain threshold, the device is judged to be in normal operation; otherwise, the device is judged to be abnormal or dangerous.

[0045] Preferably, the data comparison and analysis unit can analyze the behaviors and actions of the on-site personnel based on the data of the personnel monitoring unit and the equipment monitoring unit, so as to authenticate the identity of the personnel operating the equipment and determine whether there are any violations or dangerous situations;

[0046] Among them, the data comparison and analysis unit analyzes the behaviors and actions of the on-site personnel based on the data of the personnel monitoring unit and the equipment monitoring unit through the behavior recognition algorithm. The behavior recognition algorithm framework is as follows:

[0047] Input data, video or sensor data in the personnel monitoring unit X = x1, x2, ..., xT, where xt represents the data of the tth frame and T represents the total number of frames of the video;

[0048] Safety specifications and quality standards in the project planning scheme data Y = y1, y2, ..., yK, where yk represents the standard of the kth category and K represents the total number of categories;

[0049] Output data, behavior category C=c1,c2,…,cT in the video, where ct represents the category ct∈1,2,…,K of the tth frame;

[0050] Whether there is any violation or danger in the video Z = z1, z2, ..., zT, where zt represents the situation of the tth frame, zt∈0,1, 0 represents normal, 1 represents abnormal;

[0051] Perform feature extraction on the video data X to obtain a feature sequence F = f1, f2, ..., fT, where ft represents the feature vector of the tth frame, which can be achieved by feature extraction method;

[0052] Classify the feature sequence F to obtain the category sequence C, which can be achieved using a classifier;

[0053] Compare the category sequence C to obtain the abnormal sequence Z, which can be achieved using the threshold method;

[0054] Feature extraction formula ft = g(xt; θg), where g represents the feature extraction function and θg represents the feature extraction parameter;

[0055] Classification formula ct = h(ft; θh), where h represents the classification function and θh represents the classification parameter;

[0056] The contrast formula zt=l(ct,yct;θl), where l represents the contrast function and θl represents the contrast parameter.

[0057] Preferably, the warning control unit includes an equipment alarm device and an equipment locking device, which can promptly issue an alarm and lock the illegally operated equipment according to the data of the data comparison and analysis unit to prevent unqualified personnel from operating the equipment and causing accidents.

[0058] Preferably, the cloud communication module includes:

[0059] A data encryption unit, which is used to encrypt the data of the project construction monitoring module and the digital monitoring module to ensure the security and privacy of the data;

[0060] A data compression unit, which is used to compress the data of the project construction monitoring module and the digital monitoring module to reduce the data transmission time and space occupation;

[0061] The data synchronization unit is used to achieve real-time synchronization of the data of the project construction monitoring module and the digital monitoring module with the data of the cloud system to ensure the timeliness and consistency of the data.

[0062] Preferably, the system information storage module includes:

[0063] A data classification storage unit, the data classification storage unit is used to classify and store the data of the project construction monitoring module and the digital monitoring module;

[0064] A data backup unit, which is used to perform cloud backup storage of data of the project construction monitoring module and the digital monitoring module;

[0065] A data cleaning unit is used to clean up duplicate and useless data of the project construction monitoring module and the digital monitoring module.

[0066] The present invention provides a method for integrating intelligent construction and digital monitoring. It has the following beneficial effects:

[0067] 1. The present invention is provided with a monitoring data analysis unit, which can perform real-time identity authentication on personnel operating the equipment through the personnel monitoring unit, and determine whether there are any violations or dangerous situations through the equipment monitoring unit, thereby ensuring the safety of personnel and equipment at the project site and preventing unqualified personnel from operating the equipment or accidents.

[0068] 2. The present invention is provided with a project construction monitoring module, which can perform real-time, dynamic and comprehensive analysis on the data of the digital monitoring module, so as to effectively discover and prevent problems and risks in the project and improve the quality and safety of the project.

[0069] 3. The present invention is provided with a project progress analysis unit, which can evaluate and optimize the progress and efficiency of the project according to the project planning data and actual monitoring data, thereby improving the management level and economic benefits of the project.

[0070] 4. The present invention can visualize and convert various data of the project through the data visualization unit, and transmit it to the local terminal and cloud system for display and sharing, thereby improving the transparency and collaboration of the project and enhancing the social influence and value of the project.

[0071] 5. The present invention is provided with a warning control unit, which issues an alarm and equipment locking instruction in time according to the indication data of the monitoring data analysis unit, thereby reducing the loss and delay of the project and improving the emergency response capability and reliability of the project. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] Figure 1 It is a schematic diagram of the method flow of the present invention;

[0073] Figure 2 A schematic diagram of the system architecture of the smart building monitoring system of the present invention;

[0074] Figure 3 A schematic diagram of the system architecture for building a monitoring module for the project of the present invention;

[0075] Figure 4 It is a schematic diagram of the cloud communication module system architecture of the present invention;

[0076] Figure 5 This is a schematic diagram of the information storage module system architecture of the present invention;

[0077] Figure 6 This is a schematic diagram of the digital monitoring module system architecture of the present invention;

[0078] Figure 7 It is a schematic diagram of the system architecture of the personnel monitoring unit of the present invention;

[0079] Figure 8 It is a schematic diagram of the system architecture of the equipment monitoring unit of the present invention;

[0080] Fig. 9 It is a schematic diagram of the system architecture of the warning control unit of the present invention. DETAILED DESCRIPTION

[0081] The following will be combined with the drawings in the specification of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0082] Example:

[0083] Please see attached Figure 1 The embodiment of the present invention provides a method for integrating smart construction and digital monitoring, comprising the following steps:

[0084] Step 1: In the project planning stage, use BIM technology to carry out digital design and simulation optimization of project plans and parameters, evaluate the feasibility and risks of the project, and establish a complete project planning plan. The obtained project planning plan data is transmitted to the smart construction monitoring system to provide data support for the implementation of the project;

[0085] Step 2: According to the scale of the project planning scheme, select the appropriate smart construction monitoring system and supporting equipment, including project construction monitoring module, digital monitoring module, cloud communication module, and system data storage module.

[0086] Step 3: According to the scale of the project planning, select appropriate digital monitoring modules and supporting equipment, including personnel monitoring unit, equipment monitoring unit, monitoring data analysis unit, and monitoring data storage unit;

[0087] Step 4: During the construction process, use the digital monitoring module to monitor and manage the personnel on site in real time through various sensors and devices in the personnel monitoring unit;

[0088] Step 5: During the construction of the project, use the digital monitoring module to monitor the equipment on site in real time through various sensors and devices in the equipment monitoring unit;

[0089] Step 6: During the project construction process, use the monitoring data analysis unit to analyze the monitoring data of the personnel monitoring unit and the equipment monitoring unit, and choose whether to enable the warning control unit to issue an alarm and lock the equipment that is illegally operated according to the analysis results. The analysis data results will be uploaded to the project construction monitoring module in real time;

[0090] Step 7: During the project construction process, the project construction monitoring module is used to analyze the real-time data of the digital monitoring module to discover the abnormalities of the project and analyze the progress of the project. The obtained analysis data is displayed on the local terminal, and the analysis data is also uploaded to the cloud communication module and the system data storage module in real time;

[0091] Step 8: Use the cloud communication module to upload the analysis data of the project construction monitoring module to the cloud system in real time for display;

[0092] Step 9: Use the system data storage module to classify and store the obtained analysis data and perform cloud backup to provide a data foundation for the subsequent management and operation of the project.

[0093] Specifically, the method and system of this embodiment aim to integrate the smart construction system with the digital monitoring equipment into a whole, realize data collection, analysis, visualization and control through the project construction monitoring module and the digital monitoring module, realize data comparison, identification and warning through the monitoring data comparison unit, and realize data storage and backup through the cloud communication module and the system data storage module. The monitoring data comparison unit is the core innovation of this embodiment. It can use face recognition, equipment status monitoring, and behavior recognition technology to perform intelligent analysis on the data of the personnel monitoring unit and the equipment monitoring unit, thereby realizing the identity verification, behavior supervision, violation prevention, and danger warning functions of the on-site personnel, effectively improving the safety, quality and efficiency of the construction project.

[0094] A smart construction monitoring system, comprising:

[0095] Project construction monitoring module: The project construction monitoring module is used to monitor and compare project planning data and actual monitoring data, and to visualize and convert real-time monitoring data and transmit it to the local terminal and cloud system for display;

[0096] Digital monitoring module: The digital monitoring module can monitor and collect on-site personnel and equipment information in real time through a variety of devices, and compare it with the project planning data. Based on the comparison data results, it determines whether it is necessary to issue an alarm and equipment lock command, and sends the comparison data results to the project construction monitoring module;

[0097] Cloud communication module: The cloud communication module is used to realize the remote control of the project construction monitoring module by the cloud system and receive real-time monitoring data for cloud display;

[0098] The construction data storage module is used to store project planning data, organize and classify the data of the project construction monitoring module and the digital monitoring module, and store the organized data locally and back up it in the cloud.

[0099] Specifically, the project construction monitoring module can monitor and analyze data at all stages of the construction project, thereby achieving effective control over the project progress and safety, comparing and visualizing the project design plan and actual construction data, thereby discovering and resolving problems and risks in the project, and proposing suggestions for improvement and optimization. At the same time, the module can transmit data to local terminals and cloud systems to display and share data, thereby improving the transparency and collaboration of the project.

[0100] The digital monitoring module can monitor and manage the personnel and equipment on the construction site in real time to ensure the safety and efficiency of the project. It uses various monitoring equipment and sensors to collect and analyze the personnel and equipment information on the site, compare it with the engineering design plan, and determine whether it is necessary to issue an alarm and equipment lock command to prevent unqualified personnel from operating the equipment or accidents. At the same time, the monitoring data is uploaded to the project construction monitoring module to realize data integration and utilization.

[0101] The cloud communication module can realize data communication and interaction between the project construction monitoring module and the cloud system, thereby realizing remote supervision and management of the project.

[0102] The construction data storage module can classify, organize, store and clean the data of the project construction monitoring module and the digital monitoring module, thereby improving the quality and availability of the data. At the same time, the data can be stored locally and backed up in the cloud to achieve data security and reliability, providing data support for the subsequent operation and maintenance of the project.

[0103] The project construction monitoring module includes:

[0104] Project data monitoring unit: The project data monitoring unit is used to compare project planning data with actual monitoring data, and to promptly discover and feedback data anomalies and errors;

[0105] Project progress analysis unit: The project progress analysis unit is used to analyze the project progress and deviation reasons based on the project planning data and actual monitoring data, and put forward suggestions for progress adjustment and optimization;

[0106] Data visualization unit, the data visualization unit is used to visualize the project planning data and actual monitoring data, and transmit them to the local terminal and cloud system for display and sharing.

[0107] Specifically, the project data monitoring unit can obtain real-time digital monitoring module analysis data, and compare and analyze it with the project planning scheme data, identify data deviations and differences, and feedback data anomalies and errors to project managers so that corrective measures can be taken in a timely manner;

[0108] The project progress analysis unit can calculate the project progress deviation and completion rate based on the project schedule and actual completion status, analyze the main factors affecting the progress, and provide project managers with suggestions for progress adjustment and optimization;

[0109] The data visualization unit can visualize the data of the project, making the data more intuitive, easy to understand and interactive, and transmit the visualized data to the local terminal and cloud system to realize data display and sharing.

[0110] The digital monitoring module includes:

[0111] Personnel monitoring unit, which is used to monitor and manage on-site personnel in real time;

[0112] Equipment monitoring unit, which is used to monitor and collect data on-site equipment and environment in real time;

[0113] A monitoring data analysis unit, which is used to analyze the monitoring data of the personnel monitoring unit and the equipment monitoring unit, and upload the analysis data results to the construction monitoring module;

[0114] The warning control unit is used to issue an alarm and equipment locking instruction according to the indication data of the monitoring data analysis unit.

[0115] Specifically, the personnel monitoring unit can manage the personnel on site in real name through various sensors, monitor the personnel on site in real time, record various information of the personnel on site, and upload the data to the monitoring data analysis unit in real time;

[0116] The equipment monitoring unit can monitor the equipment on site in real time through various sensors, such as the location, operating status, fault conditions, energy consumption, and maintenance of the equipment, and upload the data to the monitoring data analysis unit in real time;

[0117] The monitoring data analysis unit can analyze the monitoring data of the personnel monitoring unit and the equipment monitoring unit, and upload the analysis data results to the construction monitoring module. According to the data of the personnel monitoring unit and the equipment monitoring unit, the behavior and actions of the on-site personnel are analyzed, and the personnel operating the equipment are authenticated in real time through the personnel monitoring unit, and it is judged whether there is any violation of the equipment operation.

[0118] The warning control unit can issue alarms and equipment locking instructions in a timely manner according to the indication data of the monitoring data analysis unit, and lock abnormal equipment while sending alarm information to relevant personnel to prevent dangerous situations on site, minimize losses as much as possible, and take timely response measures.

[0119] The personnel monitoring unit includes monitoring equipment with face recognition function, attendance equipment, identity recognition sensor equipment, and personnel information collection and uploading equipment, which are used to identify and record the identity, location, and status of on-site personnel, and upload the data to the monitoring data analysis unit;

[0120] Among them, the personnel monitoring unit uses the face recognition algorithm to match the information of the on-site personnel of the monitoring center in real time. Assume that the face image in the personnel monitoring unit is I, and the personnel information in the comparison data is P, which contains each person's name and face feature vector. The goal is to find the face in I that matches the personnel information in P, or to determine that the face in I does not belong to anyone in P. The specific algorithm is as follows:

[0121] Perform face detection on I to obtain the face region F, perform face alignment on F to obtain the aligned face image A, perform face encoding on A to obtain the face feature vector v, and perform face feature vector u on each person in P. i , calculate the cosine similarity with v;

[0122]

[0123] Find the maximum similarity And the corresponding person's name n max ;

[0124] If s max If it is greater than a certain threshold t, then it is determined that the face in I is the same as the face in P. max Match, otherwise it is judged that the face in I does not belong to anyone in P.

[0125] The equipment monitoring unit includes an equipment location monitoring device, an equipment status monitoring device, and an equipment information collection and uploading device, which are used to identify and record the location and operating status of the on-site equipment and upload the data to the monitoring data analysis unit;

[0126] Among them, the equipment monitoring unit monitors the on-site equipment through the equipment status monitoring algorithm. The specific algorithm is as follows:

[0127] Assume that the various sensor data in the equipment monitoring unit is D, and the equipment parameters and configurations in the project planning scheme data are C. The goal is to determine whether the equipment is in normal operation or whether there is an abnormal or dangerous situation;

[0128] Clean and preprocess D to remove noise and outliers to obtain valid data E;

[0129] Extract features from E to obtain the equipment's operating feature vector w;

[0130] Extract features from C to obtain the normal feature vector z of the device;

[0131] Calculate the Mahalanobis distance between w and z to get the state distance of the device;

[0132]

[0133] Where S is the covariance matrix of E;

[0134] If d is less than a certain threshold r, the device is judged to be in normal operation; otherwise, the device is judged to be abnormal or dangerous.

[0135] The data comparison and analysis unit can analyze the behaviors and actions of on-site personnel based on the data from the personnel monitoring unit and the equipment monitoring unit, and conduct real-time identity verification of personnel operating the equipment through the personnel monitoring unit, and determine whether there are any violations or dangerous situations;

[0136] Among them, the data comparison and analysis unit analyzes the behaviors and actions of the on-site personnel based on the data of the personnel monitoring unit and the equipment monitoring unit through the behavior recognition algorithm. The behavior recognition algorithm framework is as follows:

[0137] Input data, video or sensor data in the personnel monitoring unit X = x1, x2, ..., xT, where xt represents the data of the tth frame and T represents the total number of frames of the video;

[0138] Safety specifications and quality standards in the project planning scheme data Y = y1, y2, ..., yK, where yk represents the standard of the kth category and K represents the total number of categories;

[0139] Output data, behavior category C=c1,c2,…,cT in the video, where ct represents the category ct∈1,2,…,K of the tth frame;

[0140] Whether there is any violation or danger in the video Z = z1, z2, ..., zT, where zt represents the situation of the tth frame, zt∈0,1, 0 represents normal, 1 represents abnormal;

[0141] Perform feature extraction on the video data X to obtain a feature sequence F = f1, f2, ..., fT, where ft represents the feature vector of the tth frame, which can be achieved by feature extraction method;

[0142] Classify the feature sequence F to obtain the category sequence C, which can be achieved using a classifier;

[0143] Compare the category sequence C to obtain the abnormal sequence Z, which can be achieved using the threshold method;

[0144] Feature extraction formula ft = g(xt; θg), where g represents the feature extraction function and θg represents the feature extraction parameter;

[0145] Classification formula ct = h(ft; θh), where h represents the classification function and θh represents the classification parameter;

[0146] The contrast formula zt=l(ct,yct;θl), where l represents the contrast function and θl represents the contrast parameter.

[0147] The warning control unit includes an equipment alarm device and an equipment locking device, which can promptly issue an alarm and lock the illegally operated equipment according to the data of the data comparison and analysis unit to prevent unqualified personnel from operating the equipment and causing accidents.

[0148] The cloud communication module includes:

[0149] Data encryption unit: The data encryption unit is used to encrypt the data of the project construction monitoring module and the digital monitoring module to ensure the security and privacy of the data;

[0150] Data compression unit, which is used to compress the data of the project construction monitoring module and the digital monitoring module to reduce the data transmission time and space occupation;

[0151] Data synchronization unit, the data synchronization unit is used to achieve real-time synchronization of data between the project construction monitoring module and the digital monitoring module and the data of the cloud system to ensure the timeliness and consistency of the data.

[0152] Specifically, the cloud communication module can encrypt and compress the data of the project construction monitoring module and the digital monitoring module to ensure data security and reduce data transmission time, and send the project progress and results as well as on-site monitoring information to the cloud system for real-time display through the data synchronization unit.

[0153] The system information storage module includes:

[0154] A data classification storage unit, the data classification storage unit is used to classify and store the data of the project construction monitoring module and the digital monitoring module;

[0155] Data backup unit, which is used to perform cloud backup storage of data from the project construction monitoring module and the digital monitoring module;

[0156] The data cleaning unit is used to clean up the duplicate and useless data of the project construction monitoring module and the digital monitoring module.

[0157] Specifically, the system information storage module can integrate and classify the data of the project construction monitoring module and the digital monitoring module, extract the key data and valuable data of the project for storage. At the same time, the system information storage module can also regularly send the stored data to the cloud for backup to prevent data damage and loss, and clean up duplicate and useless data.

[0158] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for integrating smart construction and digital monitoring, characterized in that: The following steps are involved: Step 1: In the project planning stage, use BIM technology to digitally design and simulate the project plan and parameters, evaluate the feasibility and risks of the project, and establish a complete project planning plan. The obtained project planning plan data is transmitted to the smart construction monitoring system to provide data support for the implementation of the project; Step 2: According to the scale of the project planning, select the appropriate smart construction monitoring system and supporting equipment, including project construction monitoring module, digital monitoring module, cloud communication module, and system data storage module; Step 3: According to the scale of the project planning, select appropriate digital monitoring modules and supporting equipment, including personnel monitoring unit, equipment monitoring unit, monitoring data analysis unit, and monitoring data storage unit; Step 4: During the project construction process, use the digital monitoring module to monitor and manage the personnel on site in real time through various sensors and devices in the personnel monitoring unit; Step 5: During the construction of the project, use the digital monitoring module to monitor the equipment on site in real time through various sensors and devices in the equipment monitoring unit; Step 6: During the project construction process, the monitoring data analysis unit is used to analyze the monitoring data of the personnel monitoring unit and the equipment monitoring unit. According to the analysis structure, it is selected whether to enable the warning control unit to issue an alarm and lock the equipment that is illegally operated. The analysis data results will be uploaded to the project construction monitoring module in real time; Step 7: During the project construction process, the project construction monitoring module is used to analyze the real-time data of the digital monitoring module to detect abnormalities in the project and analyze the progress of the project. The obtained analysis data is displayed on the local terminal, and the analysis data is also uploaded to the cloud communication module and the system data storage module in real time. Step 8: Use the cloud communication module to upload the analysis data of the project construction monitoring module to the cloud system in real time for display; Step nine: Use the system data storage module to classify and store the obtained analysis data and perform cloud backup to provide a data foundation for the subsequent management and operation of the project.

2. A smart construction monitoring system, according to the smart construction and digital monitoring integration method of claim 1, characterized in that: include: A project construction monitoring module, which is used to monitor and compare project planning data and actual monitoring data, and to convert real-time monitoring data into visual data and transmit it to a local terminal and a cloud system for display; A digital monitoring module, which can monitor and collect on-site personnel and equipment information in real time through a variety of devices, and compare it with the project planning data, determine whether to issue an alarm and equipment lock command based on the comparison data results, and send the comparison data results to the project construction monitoring module; A cloud communication module, which is used to implement remote control of the project construction monitoring module by the cloud system and receive real-time monitoring data for cloud display; A construction data storage module is used to store project planning data, organize and classify data from the project construction monitoring module and the digital monitoring module, and perform local storage and cloud backup operations on the organized data.

3. The intelligent construction monitoring system according to claim 2, characterized in that: The project construction monitoring module includes: A project data monitoring unit, which is used to compare project planning data with actual monitoring data, and to promptly detect and feedback data anomalies and errors; A project progress analysis unit, which is used to analyze the project progress and deviation reasons based on the project planning data and actual monitoring data, and to put forward suggestions for progress adjustment and optimization; The data visualization unit is used to visualize the project planning data and the actual monitoring data, and transmit them to the local terminal and the cloud system for display and sharing.

4. A smart construction monitoring system according to claim 2, characterized in that: The digital monitoring module comprises: A personnel monitoring unit, which is used to monitor and manage personnel on site in real time; An equipment monitoring unit, which is used to monitor and collect data on the equipment on site in real time; A monitoring data analysis unit, which is used to analyze the monitoring data of the personnel monitoring unit and the equipment monitoring unit, and upload the analysis data results to the construction monitoring module; An alarm control unit is used to issue an alarm and a device locking instruction according to the indication data of the monitoring data analysis unit.

5. The intelligent construction monitoring system according to claim 4, characterized in that: The personnel monitoring unit includes a monitoring device with a face recognition function, an attendance device, an identity recognition sensor device, and a personnel information collection and uploading device, which is used to identify and record the identity, location, and status of the on-site personnel, and upload the data to the monitoring data analysis unit; Among them, the personnel monitoring unit uses the face recognition algorithm to match the information of the on-site personnel of the monitoring center in real time. Assume that the face image in the personnel monitoring unit is I, and the personnel information in the comparison data is P, which contains each person's name and face feature vector. The goal is to find the face in I that matches the personnel information in P, or to determine that the face in I does not belong to anyone in P. The specific algorithm is as follows: Perform face detection on I to obtain the face region F, perform face alignment on F to obtain the aligned face image A, perform face encoding on A to obtain the face feature vector v, and perform face feature vector u on each person in P. i , calculate the cosine similarity with v; Find the maximum similarity And the corresponding person's name n max ; If s max If it is greater than a certain threshold t, then it is determined that the face in I is the same as the face in P. max Match, otherwise it is judged that the face in I does not belong to anyone in P.

6. The intelligent construction monitoring system according to claim 4, characterized in that: The equipment monitoring unit includes an equipment location monitoring device, an equipment status monitoring device, and an equipment information collection and uploading device, which are used to identify and record the location and operating status of the on-site equipment and upload the data to the monitoring data analysis unit; Among them, the equipment monitoring unit monitors the on-site equipment through the equipment status monitoring algorithm. The specific algorithm is as follows: Assume that the various sensor data in the equipment monitoring unit is D, and the equipment parameters and configurations in the project planning scheme data are C. The goal is to determine whether the equipment is in normal operation or whether there is an abnormal or dangerous situation; Clean and preprocess D to remove noise and outliers to obtain valid data E; Extract features from E to obtain the equipment's operating feature vector w; Extract features from C to obtain the normal feature vector z of the device; Calculate the Mahalanobis distance between w and z to get the state distance of the device; Where S is the covariance matrix of E; If d is less than a certain threshold r, the device is judged to be in normal operation; otherwise, the device is judged to be abnormal or dangerous.

7. The intelligent construction monitoring system according to claim 4, characterized in that: The data comparison and analysis unit can analyze the behavior and actions of the on-site personnel based on the data of the personnel monitoring unit and the equipment monitoring unit, so as to authenticate the personnel operating the equipment and determine whether there are any violations or dangerous situations; Among them, the data comparison and analysis unit analyzes the behaviors and actions of the on-site personnel based on the data of the personnel monitoring unit and the equipment monitoring unit through the behavior recognition algorithm. The behavior recognition algorithm framework is as follows: Input data, video or sensor data in the personnel monitoring unit X = x1, x2, ..., xT, where xt represents the data of the tth frame and T represents the total number of frames of the video; Safety specifications and quality standards in the project planning scheme data Y = y1, y2, ..., yK, where yk represents the standard of the kth category and K represents the total number of categories; Output data, behavior category C=c1,c2,…,cT in the video, where ct represents the category ct∈1,2,…,K of the tth frame; Whether there is any violation or danger in the video Z = z1, z2, ..., zT, where zt represents the situation of the tth frame, zt∈0,1, 0 represents normal, 1 represents abnormal; Perform feature extraction on the video data X to obtain a feature sequence F = f1, f2, ..., fT, where ft represents the feature vector of the tth frame, which can be achieved by feature extraction method; Classify the feature sequence F to obtain the category sequence C, which can be achieved using a classifier; Compare the category sequence C to obtain the abnormal sequence Z, which can be achieved using the threshold method; Feature extraction formula ft = g(xt; θg), where g represents the feature extraction function and θg represents the feature extraction parameter; Classification formula ct = h(ft; θh), where h represents the classification function and θh represents the classification parameter; The contrast formula zt=l(ct,yct;θl), where l represents the contrast function and θl represents the contrast parameter.

8. The intelligent construction monitoring system according to claim 4, characterized in that: The warning control unit includes an equipment alarm device and an equipment locking device, which can promptly issue an alarm and lock the illegally operated equipment according to the data of the data comparison and analysis unit to prevent unqualified personnel from operating the equipment and causing accidents.

9. The intelligent construction monitoring system according to claim 2, characterized in that: The cloud communication module includes: A data encryption unit, which is used to encrypt the data of the project construction monitoring module and the digital monitoring module to ensure the security and privacy of the data; A data compression unit, which is used to compress the data of the project construction monitoring module and the digital monitoring module to reduce the data transmission time and space occupation; The data synchronization unit is used to achieve real-time synchronization of the data of the project construction monitoring module and the digital monitoring module with the data of the cloud system to ensure the timeliness and consistency of the data.

10. The intelligent construction monitoring system according to claim 2, characterized in that: The system information storage module includes: A data classification storage unit, the data classification storage unit is used to classify and store the data of the project construction monitoring module and the digital monitoring module; A data backup unit, which is used to perform cloud backup storage of data of the project construction monitoring module and the digital monitoring module; A data cleaning unit is used to clean up duplicate and useless data of the project construction monitoring module and the digital monitoring module.

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