Digital smart construction site management method based on Internet+

Abstract

The present application relates to a digital intelligent construction site management method based on Internet+. The method includes: obtaining the current layer operation monitoring information and the current layer interaction monitoring information of the target construction site; inputting the current layer operation monitoring information and the current layer interaction monitoring information into the monitoring information iteration model to obtain the iterative layer operation monitoring information and the iterative layer interaction monitoring information; optimizing the iterative layer operation monitoring information according to the difference between the iterative layer interaction monitoring information and the current layer interaction monitoring information to obtain the optimized layer operation monitoring information; performing augmented reality-assisted analysis on the optimized layer operation monitoring information and the iterative layer interaction monitoring information to obtain the auxiliary analysis data of the target construction site; integrating the optimized layer operation monitoring information, the iterative layer interaction monitoring information and the auxiliary analysis data to obtain the construction site management information. The use of this method can effectively improve the efficiency of construction site management using computer-aided management technology.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to a digital smart construction site management method, device, computer equipment, storage medium and computer program product based on Internet+. Background Art

[0002] With the development of computer technology, computer-aided management technology has emerged. This technology supports all aspects of enterprise management by utilizing computer systems and software tools, from resource planning, customer relationship management to supply chain and human resource management, etc., aiming to improve work efficiency, optimize resource allocation, enhance decision-making support and enhance enterprise competitiveness.

[0003] In traditional technology, although computer-aided management technology has been maturely applied in construction site management, the specific data of the construction site needs to be manually input in an untimely or inaccurate manner, resulting in information lag. The complex and changeable on-site environment may make it difficult for the system to fully capture the real-time situation, and the data analysis model cannot fully adapt to the specific construction site conditions, resulting in low efficiency in construction site management using computer-aided management technology in traditional technology. Summary of the invention

[0004] Based on this, it is necessary to provide an Internet+-based digital intelligent construction site management method, device, computer equipment, computer-readable storage medium and computer program product that can improve the efficiency of construction site management using computer-aided management technology in response to the above-mentioned technical problems.

[0005] In the first aspect, the present application provides a digital smart construction site management method based on Internet+, comprising:

[0006] Obtain the current layer operation monitoring information and current layer interaction monitoring information of the target construction site;

[0007] Inputting the current layer operation monitoring information and the current layer interaction monitoring information into the monitoring information iteration model corresponding to the target construction site to obtain iterative layer operation monitoring information and iterative layer interaction monitoring information;

[0008] According to the difference between the iterative layer interaction monitoring information and the current layer interaction monitoring information, the iterative layer operation monitoring information is optimized to obtain optimized layer operation monitoring information;

[0009] Performing augmented reality-assisted analysis on the optimized layer operation monitoring information and the iterative layer interaction monitoring information to obtain auxiliary analysis data of the target construction site;

[0010] The optimization layer operation monitoring information, the iteration layer interaction monitoring information and the auxiliary analysis data are integrated to obtain the construction site management information of the target construction site; the construction site management information is used to assist the staff in the target construction site to manage the target construction site.

[0011] In the second aspect, the present application also provides a digital intelligent construction site management device based on Internet+, including:

[0012] A data acquisition module is used to obtain the current layer operation monitoring information and the current layer interaction monitoring information of the target construction site;

[0013] A data iteration module, used for inputting the current layer operation monitoring information and the current layer interaction monitoring information into the monitoring information iteration model corresponding to the target construction site to obtain iterative layer operation monitoring information and iterative layer interaction monitoring information;

[0014] A data optimization module, configured to optimize the iterative layer operation monitoring information according to the difference between the iterative layer interaction monitoring information and the current layer interaction monitoring information, so as to obtain optimized layer operation monitoring information;

[0015] An auxiliary analysis module, used to perform augmented reality auxiliary analysis on the optimized layer operation monitoring information and the iterative layer interaction monitoring information to obtain auxiliary analysis data of the target construction site;

[0016] A data fusion module is used to fuse the optimization layer operation monitoring information, the iteration layer interaction monitoring information and the auxiliary analysis data to obtain the construction site management information of the target construction site; the construction site management information is used to assist the staff in the target construction site to manage the target construction site.

[0017] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0018] Obtain the current layer operation monitoring information and current layer interaction monitoring information of the target construction site;

[0019] Inputting the current layer operation monitoring information and the current layer interaction monitoring information into the monitoring information iteration model corresponding to the target construction site to obtain iterative layer operation monitoring information and iterative layer interaction monitoring information;

[0020] According to the difference between the iterative layer interaction monitoring information and the current layer interaction monitoring information, the iterative layer operation monitoring information is optimized to obtain optimized layer operation monitoring information;

[0021] Performing augmented reality-assisted analysis on the optimized layer operation monitoring information and the iterative layer interaction monitoring information to obtain auxiliary analysis data of the target construction site;

[0022] The optimization layer operation monitoring information, the iteration layer interaction monitoring information and the auxiliary analysis data are integrated to obtain the construction site management information of the target construction site; the construction site management information is used to assist the staff in the target construction site to manage the target construction site.

[0023] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0024] Obtain the current layer operation monitoring information and current layer interaction monitoring information of the target construction site;

[0025] Inputting the current layer operation monitoring information and the current layer interaction monitoring information into the monitoring information iteration model corresponding to the target construction site to obtain iterative layer operation monitoring information and iterative layer interaction monitoring information;

[0026] According to the difference between the iterative layer interaction monitoring information and the current layer interaction monitoring information, the iterative layer operation monitoring information is optimized to obtain optimized layer operation monitoring information;

[0027] Performing augmented reality-assisted analysis on the optimized layer operation monitoring information and the iterative layer interaction monitoring information to obtain auxiliary analysis data of the target construction site;

[0028] The optimization layer operation monitoring information, the iteration layer interaction monitoring information and the auxiliary analysis data are integrated to obtain the construction site management information of the target construction site; the construction site management information is used to assist the staff in the target construction site to manage the target construction site.

[0029] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0030] Obtain the current layer operation monitoring information and current layer interaction monitoring information of the target construction site;

[0031] Inputting the current layer operation monitoring information and the current layer interaction monitoring information into the monitoring information iteration model corresponding to the target construction site to obtain iterative layer operation monitoring information and iterative layer interaction monitoring information;

[0032] According to the difference between the iterative layer interaction monitoring information and the current layer interaction monitoring information, the iterative layer operation monitoring information is optimized to obtain optimized layer operation monitoring information;

[0033] Performing augmented reality-assisted analysis on the optimized layer operation monitoring information and the iterative layer interaction monitoring information to obtain auxiliary analysis data of the target construction site;

[0034] The optimization layer operation monitoring information, the iteration layer interaction monitoring information and the auxiliary analysis data are integrated to obtain the construction site management information of the target construction site; the construction site management information is used to assist the staff in the target construction site to manage the target construction site.

[0035] The above-mentioned digital intelligent construction site management method, device, computer equipment, storage medium and computer program product based on Internet+ obtains the current layer operation monitoring information and the current layer interaction monitoring information of the target construction site; inputs the current layer operation monitoring information and the current layer interaction monitoring information into the monitoring information iteration model corresponding to the target construction site to obtain the iterative layer operation monitoring information and the iterative layer interaction monitoring information; according to the difference between the iterative layer interaction monitoring information and the current layer interaction monitoring information, optimizes the iterative layer operation monitoring information to obtain the optimized layer operation monitoring information; performs augmented reality assisted analysis on the optimized layer operation monitoring information and the iterative layer interaction monitoring information to obtain the auxiliary analysis data of the target construction site; integrates the optimized layer operation monitoring information, the iterative layer interaction monitoring information and the auxiliary analysis data to obtain the construction site management information of the target construction site; the construction site management information is used to assist the staff in the target construction site to manage the target construction site.

[0036] By deeply processing the current monitoring information through iterative models, potential deviations and deficiencies can be identified and corrected to ensure the accuracy of the data. The use of optimized monitoring information combined with augmented reality technology for auxiliary analysis can not only provide real-time site operation status, but also predict possible risks and problems. Ultimately, the site management information generated by integrating optimization information, iterative interaction information and auxiliary analysis data can effectively improve the efficiency of site management using computer-aided management technology, making the site management information highly reliable and practical, providing comprehensive and real-time data support for site managers, improving the scientificity and accuracy of decision-making, thereby achieving more efficient resource allocation and risk control, and improving the overall operational efficiency and safety of the site. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0038] Figure 1 An application environment diagram of an Internet+-based digital smart construction site management method in one embodiment;

[0039] Figure 2 A schematic diagram of a process of a digital intelligent construction site management method based on Internet+ in one embodiment;

[0040] Figure 3 It is a flowchart of a method for obtaining iterative layer operation monitoring information and iterative layer interaction monitoring information in one embodiment;

[0041] Figure 4 It is a flowchart of a method for obtaining iterative layer operation monitoring information and iterative layer interaction monitoring information in another embodiment;

[0042] Figure 5 It is a flowchart of a method for obtaining iterative layer operation monitoring information and iterative layer interaction monitoring information in another embodiment;

[0043] Figure 6 A schematic flow chart of a method for obtaining optimized layer-by-layer operation monitoring information in one embodiment;

[0044] Figure 7 A flow chart of a method for obtaining optimized layer-by-layer operation monitoring information in another embodiment;

[0045] Figure 8 It is a flowchart of a method for obtaining construction site management information of a target construction site in one embodiment;

[0046] Fig. 9 It is a structural block diagram of a digital intelligent construction site management device based on Internet+ in one embodiment;

[0047] Fig.10 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0048] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0049] The present application provides an Internet+-based digital smart construction site management method, which can be applied to Figure 1 In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or it can be placed on the cloud or other network servers. The server 104 obtains the current layer operation monitoring information and the current layer interaction monitoring information of the target construction site from the terminal 102; the current layer operation monitoring information and the current layer interaction monitoring information are input into the monitoring information iteration model corresponding to the target construction site to obtain the iterative layer operation monitoring information and the iterative layer interaction monitoring information; according to the difference between the iterative layer interaction monitoring information and the current layer interaction monitoring information, the iterative layer operation monitoring information is optimized to obtain the optimized layer operation monitoring information; the optimized layer operation monitoring information and the iterative layer interaction monitoring information are subjected to augmented reality auxiliary analysis to obtain the auxiliary analysis data of the target construction site; the optimized layer operation monitoring information, the iterative layer interaction monitoring information and the auxiliary analysis data are integrated to obtain the construction site management information of the target construction site; the construction site management information is used to assist the staff in the target construction site to manage the target construction site. The terminal 102 may be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, IoT devices, and portable wearable devices. The IoT devices may be smart speakers, smart TVs, smart air conditioners, smart car-mounted devices, etc. The portable wearable devices may be smart watches, smart bracelets, head-mounted devices, etc. The server 104 may be implemented as an independent server or a server cluster consisting of multiple servers.

[0050] In an exemplary embodiment, Figure 2 As shown in the figure, a digital intelligent construction site management method based on Internet+ is provided. Figure 1 The server in the example is used to illustrate, including the following steps 202 to 210. Among them:

[0051] Step 202, obtaining the current layer operation monitoring information and the current layer interaction monitoring information of the target construction site.

[0052] The current level operation monitoring information may be information collected by real-time monitoring of the operation activities of the target construction site or target project, and such information usually includes data on production progress, quality control, resource allocation, cost management, etc.

[0053] The current level interaction monitoring information may be information obtained by real-time monitoring of the internal and external interactions and information exchanges of a target construction site or target project.

[0054] Specifically, appropriate sensors and monitoring equipment are deployed at the target construction site to collect real-time operation data and interaction data of all aspects of the target construction site. These data are transmitted to the centralized data processing center through the Internet of Things (IoT) platform, and the collected data are cleaned, integrated and analyzed using data processing and analysis technology to extract the current level operation monitoring information and current level interaction monitoring information of all aspects.

[0055] Step 204 , input the current layer operation monitoring information and the current layer interaction monitoring information into the monitoring information iteration model corresponding to the target construction site to obtain the iterative layer operation monitoring information and the iterative layer interaction monitoring information.

[0056] Among them, the monitoring information iteration model can be a neural network model that iterates the current layer operation monitoring information and the current layer interaction monitoring information at different times.

[0057] The iterative layer operation monitoring information may be operation monitoring information obtained by iteratively calculating the current layer operation monitoring information at different times.

[0058] The iterative layer-by-layer interaction monitoring information may be interaction monitoring information obtained by iteratively calculating the current layer-by-layer interaction monitoring information at different times.

[0059] Specifically, the current layer operation monitoring information and the current layer interaction monitoring information are input into the monitoring information iteration model corresponding to the target construction site. The monitoring information iteration model uses machine learning or deep learning algorithms to continuously integrate and iterate the current layer operation monitoring information and the current layer interaction monitoring information at different times to generate more accurate iterative layer operation monitoring information and iterative layer interaction monitoring information.

[0060] Step 206, optimizing the iterative layer operation monitoring information according to the difference between the iterative layer interaction monitoring information and the current layer interaction monitoring information to obtain optimized layer operation monitoring information.

[0061] The optimized layer operation monitoring information may be operation monitoring information obtained after calibrating, modifying, annotating, and optimizing a number of information records in the iterative layer operation monitoring information.

[0062] Specifically, the difference between the iterative layer interaction monitoring information and the current layer interaction monitoring information is calculated to obtain the interaction monitoring information difference information, and further identify potential problems or abnormal points in the interaction monitoring information difference information through difference analysis. Data correction, model retraining or parameter tuning methods are used to adjust and optimize the potential problems or abnormal points of the iterative layer operation monitoring information, and output the optimized layer operation monitoring information.

[0063] Step 208, performing augmented reality-assisted analysis on the optimized layer operation monitoring information and the iterative layer interaction monitoring information to obtain auxiliary analysis data of the target construction site.

[0064] Among them, augmented reality assisted analysis can be augmented reality (AR) technology, which overlays virtual information and images into the real world to assist in data analysis and decision-making processes.

[0065] Specifically, the optimization layer operation monitoring information and the iteration layer interaction monitoring information are integrated and imported into the augmented reality (AR) platform, and the information is superimposed on the real-time scene of the target construction site using AR technology, and the display image of the AR device or application is input into the image analysis neural network of the server 104 through the sensor. Through the AR auxiliary analysis function and the image analysis neural network, the operation status and interaction of different places in the target construction site are monitored and analyzed in real time, potential problems and optimization opportunities are identified, and auxiliary analysis data of the target construction site is generated and output.

[0066] Step 210, integrating the optimization layer operation monitoring information, the iteration layer interaction monitoring information and the auxiliary analysis data to obtain the construction site management information of the target construction site.

[0067] The construction site management information may be data and images that assist the staff at the target construction site to manage the target construction site.

[0068] Specifically, data fusion technology is used to associate and comprehensively process the optimization layer operation monitoring information, iterative layer interactive monitoring information, and auxiliary analysis data, eliminating redundant and conflicting information in the optimization layer operation monitoring information, iterative layer interactive monitoring information, and auxiliary analysis data to ensure data consistency and integrity. Through data analysis algorithms and visualization tools, the fused data is deeply analyzed and displayed to generate comprehensive management data for the target construction site, and the comprehensive management data is input into the construction site management strategy model to output construction site management information.

[0069] In the above-mentioned digital intelligent construction site management method based on Internet+, the current layer operation monitoring information and the current layer interaction monitoring information of the target construction site are obtained; the current layer operation monitoring information and the current layer interaction monitoring information are input into the monitoring information iteration model corresponding to the target construction site to obtain the iterative layer operation monitoring information and the iterative layer interaction monitoring information; according to the difference between the iterative layer interaction monitoring information and the current layer interaction monitoring information, the iterative layer operation monitoring information is optimized to obtain the optimized layer operation monitoring information; the optimized layer operation monitoring information and the iterative layer interaction monitoring information are subjected to augmented reality-assisted analysis to obtain the auxiliary analysis data of the target construction site; the optimized layer operation monitoring information, the iterative layer interaction monitoring information and the auxiliary analysis data are integrated to obtain the construction site management information of the target construction site; the construction site management information is used to assist the staff in the target construction site to manage the target construction site.

[0070] By deeply processing the current monitoring information through iterative models, potential deviations and deficiencies can be identified and corrected to ensure the accuracy of the data. The use of optimized monitoring information combined with augmented reality technology for auxiliary analysis can not only provide real-time site operation status, but also predict possible risks and problems. Ultimately, the site management information generated by integrating optimization information, iterative interaction information and auxiliary analysis data can effectively improve the efficiency of site management using computer-aided management technology, making the site management information highly reliable and practical, providing comprehensive and real-time data support for site managers, improving the scientificity and accuracy of decision-making, thereby achieving more efficient resource allocation and risk control, and improving the overall operational efficiency and safety of the site.

[0071] In an exemplary embodiment, Figure 3 As shown, the current layer operation monitoring information and the current layer interaction monitoring information are input into the monitoring information iteration model corresponding to the target construction site to obtain the iterative layer operation monitoring information and the iterative layer interaction monitoring information, including steps 302 to 306. Among them:

[0072] Step 302, input the current layer-specific operation monitoring information into the monitoring information iteration model to obtain the initial layer-specific operation monitoring information.

[0073] Among them, the initial layer operation monitoring information can be iterative data after the monitoring information iteration model uses the historical layer operation monitoring information to iterate the current layer operation monitoring information.

[0074] Specifically, the current layer operation monitoring information is input into the pre-trained monitoring information iteration model. The monitoring information iteration model uses its own historical layer operation monitoring information and the current layer operation monitoring information to perform iterative calculation and reasoning processing to generate preliminary layer operation monitoring results. The initial layer operation monitoring information is obtained by adjusting the monitoring results of the monitoring information iteration model.

[0075] Step 304, weighting each data information in the current layer interaction monitoring information according to the initial layer operation monitoring information to obtain the initial layer interaction monitoring information.

[0076] The initial layer interaction monitoring information may be data obtained by weighting the current layer interaction monitoring information using the initial layer operation monitoring information.

[0077] Specifically, the initial hierarchical operation monitoring information is analyzed to determine the key indicators and corresponding weights in the initial hierarchical operation monitoring information. These key indicators and corresponding weights are applied to each data point in the current hierarchical interaction monitoring information, and weighted calculation is performed on each data point. Through weighted processing, the importance and influence of different data points in the current hierarchical interaction monitoring information are adjusted to generate the initial hierarchical interaction monitoring information.

[0078] Step 306, when the actual number of iterations of the monitoring information iteration model fails to trigger the preset number of iterations, the initial layer operation monitoring information and the initial layer interaction monitoring information are used as inputs of the monitoring information iteration model until the actual number of iterations can trigger the preset number of iterations, thereby obtaining the iteration layer operation monitoring information and the iteration layer interaction monitoring information.

[0079] Among them, the actual number of iterations can be the number of iterations that the monitoring information iteration model has executed; the preset number of iterations can be the number of iterations that the monitoring information iteration model is planned to execute.

[0080] Specifically, when the actual number of iterations of the monitoring information iteration model fails to trigger the preset number of iterations, the initial layer operation monitoring information and initial layer interaction monitoring information obtained by iteration are updated as input data of the monitoring information iteration model, and instructions are resent to the monitoring information iteration model to perform the next iteration until the actual number of iterations of the monitoring information iteration model reaches the preset number of iterations. The iteration layer operation monitoring information and iteration layer interaction monitoring information that have been optimized for multiple iterations are output.

[0081] In this embodiment, the current layer operation monitoring information is input into the monitoring information iteration model to generate initial layer operation monitoring information, and the current layer interaction monitoring information is weighted to obtain initial layer interaction monitoring information. When the actual number of iterations fails to trigger the preset number of iterations, the initial monitoring information is repeatedly iterated to ensure that when the preset number of iterations is reached, the generated iteration layer operation monitoring information and iteration layer interaction monitoring information are more accurate and reliable. This can significantly improve the accuracy and stability of the monitoring model, thereby providing more effective and efficient site monitoring and management support.

[0082] In an exemplary embodiment, Figure 4 As shown, when the actual number of iterations of the monitoring information iteration model fails to trigger the preset number of iterations, the initial layer operation monitoring information and the initial layer interaction monitoring information are used as inputs of the monitoring information iteration model until the actual number of iterations can trigger the preset number of iterations, and the iteration layer operation monitoring information and the iteration layer interaction monitoring information are obtained, including steps 402 to 406. Among them:

[0083] Step 402, when the actual number of iterations of the monitoring information iteration model fails to trigger the preset number of iterations, the second current level operation monitoring information and the second current level interaction monitoring information of the target construction site are obtained.

[0084] Among them, the second current level operation monitoring information and the second current level interaction monitoring information can be the operation monitoring information and interaction monitoring information re-acquired at any new time after the time corresponding to the acquisition of the current level operation monitoring information and the current level interaction monitoring information.

[0085] Specifically, when the actual number of iterations of the monitoring information iteration model fails to trigger the preset number of iterations, additional sensors and monitoring equipment are deployed, or the same sensors and monitoring equipment are deployed at different times to collect new operation monitoring information and new interaction monitoring information of the target construction site in real time. The accuracy and timeliness of these data are ensured, and they are integrated and verified with the previously collected data, and finally the second current level operation monitoring information and the second current level interaction monitoring information are obtained and prepared.

[0086] Step 404, respectively fuse the second current layer operation monitoring information and the second current layer interaction monitoring information with the corresponding data in the initial layer operation monitoring information and the initial layer interaction monitoring information to obtain fused layer operation monitoring information and fused layer interaction monitoring information.

[0087] The fused layer operation monitoring information may be fused data obtained by fusing the second current layer operation monitoring information and the second current layer interaction monitoring information with the initial layer operation monitoring information.

[0088] The fused layer-by-layer interaction monitoring information may be fused data obtained by fusing the second current layer-by-layer operation monitoring information and the second current layer-by-layer interaction monitoring information with the initial layer-by-layer interaction monitoring information.

[0089] Specifically, the second current level operation monitoring information and the second current level interaction monitoring information are compared and matched with the initial level operation monitoring information respectively, and the corresponding data are comprehensively processed through data fusion technology to eliminate redundant information and improve data consistency, so as to generate fused level operation monitoring information; similarly, the second current level operation monitoring information and the second current level interaction monitoring information are compared and matched with the initial level interaction monitoring information respectively, and the corresponding data are comprehensively processed through data fusion technology to eliminate redundant information and improve data consistency, so as to generate fused level interaction monitoring information.

[0090] Step 406, using the fused layer operation monitoring information and the fused layer interaction monitoring information as inputs of the monitoring information iteration model to iterate until the actual number of iterations can trigger the preset number of iterations, thereby obtaining the iterative layer operation monitoring information and the iterative layer interaction monitoring information.

[0091] Specifically, the fused layer operation monitoring information and the fused layer interaction monitoring information are input into the monitoring information iteration model, and the initial layer operation monitoring information and the initial layer interaction monitoring information of the next iteration are obtained through the next iteration calculation of the monitoring information iteration model. If the actual number of iterations still fails to trigger the preset number of iterations, the new current layer operation monitoring information is continued to be obtained as the second current layer operation monitoring information, and the new current layer interaction monitoring information is obtained as the second current layer interaction monitoring information, and the initial layer operation monitoring information of the next iteration is used as the initial layer operation monitoring information, and the initial layer interaction monitoring information of the next iteration is used as the initial layer interaction monitoring information; return to execute the step of "fusing the second current layer operation monitoring information and the second current layer interaction monitoring information with the corresponding data in the initial layer operation monitoring information and the initial layer interaction monitoring information, respectively, to obtain the fused layer operation monitoring information and the fused layer interaction monitoring information", and continue the iterative processing until the actual number of iterations of the monitoring information iteration model can trigger the preset number of iterations, ensuring that each iteration optimizes the monitoring information, and outputs the iteration layer operation monitoring information and the iteration layer interaction monitoring information that have been fully iteratively optimized.

[0092] In this embodiment, when the monitoring information iteration model does not reach the preset number of iterations, the second current level operation monitoring information and the second current level interaction monitoring information of the target construction site are obtained, and these new data are fused with the initial level data to generate more comprehensive fused level operation and interaction monitoring information. The fused information is input into the iteration model again and iterative optimization is performed until the preset number of iterations is reached. This process not only improves the richness and accuracy of the data, but also enhances the robustness and precision of the iteration model. The iterative level operation and interaction monitoring information finally generated is more reliable, providing more accurate support for construction site management and decision-making.

[0093] In an exemplary embodiment, Figure 5 As shown, when the actual number of iterations can trigger the preset number of iterations, the method further includes steps 502 to 506. Among them:

[0094] Step 502: Generate an operation monitoring information iteration curve according to the initial level operation monitoring information corresponding to each actual iteration number.

[0095] The operation monitoring information iteration curve may be a fitting curve of a plurality of initial level operation monitoring information generated corresponding to the actual number of iterations.

[0096] Specifically, the initial level operation monitoring information and the number of iterations corresponding to each actual iteration are organized into a time series to ensure the continuity and accuracy of the data. Using the nonlinear fitting library in the data analysis tool or programming language, the iteration number is used as the horizontal axis and the initial level operation monitoring information is used as the vertical axis to fit the iteration curve of the operation monitoring information.

[0097] Step 504 , generating an interaction monitoring information iteration curve according to the initial layer interaction monitoring information corresponding to each actual iteration number.

[0098] The interactive monitoring information iteration curve may be a fitting curve of multiple initial level interactive monitoring information generated corresponding to the actual number of iterations.

[0099] Specifically, the initial layer interaction monitoring information and the number of iterations corresponding to each actual iteration are organized into a time series to ensure the continuity and accuracy of the data. Using the nonlinear fitting library in the data analysis tool or programming language, the number of iterations is used as the horizontal axis and the initial layer interaction monitoring information is used as the vertical axis to fit the interaction monitoring information iteration curve.

[0100] Step 506, according to the operation monitoring information iteration curve and the interaction monitoring information iteration curve, each initial level operation monitoring information and each initial level interaction monitoring information are optimized to obtain iterative level operation monitoring information and iterative level interaction monitoring information.

[0101] Specifically, a curve optimization algorithm is used to identify various influencing factors that affect the current curve changes and subsequent curve changes from the operation monitoring information iteration curve and the interaction monitoring information iteration curve. According to each influencing factor, data that best meets each influencing factor is selected from each initial level operation monitoring information and each initial level interaction monitoring information to obtain the iterative level operation monitoring information and the iterative level interaction monitoring information.

[0102] In this embodiment, by generating an iterative curve of operation monitoring information and an iterative curve of interactive monitoring information, the changing trend of the initial layer operation monitoring information and interactive monitoring information at different iteration times can be intuitively displayed. According to these iterative curves, each initial layer information is optimized to ensure that the best performing data point is selected during each iteration, thereby generating more accurate and optimized iterative layer operation monitoring information and interactive monitoring information. This method effectively improves the quality of data and the accuracy of the model, and provides a more reliable basis for site management and decision-making.

[0103] In an exemplary embodiment, Figure 6 As shown, according to the difference between the iterative layer interaction monitoring information and the current layer interaction monitoring information, the iterative layer operation monitoring information is optimized to obtain the optimized layer operation monitoring information, including steps 602 to 604. Among them:

[0104] Step 602, identifying abnormal information of each target person in the target construction site based on the difference between the iterative layer-by-layer interaction monitoring information and the current layer-by-layer interaction monitoring information.

[0105] The abnormal information of the target personnel may be the abnormal information of personnel with abnormal behavior in the target construction site.

[0106] Specifically, the difference analysis algorithm is used to compare the difference between the iterative layer interaction monitoring information and the current layer interaction monitoring information, and identify the interaction behaviors or patterns with significant differences. These difference points are mapped to specific target personnel, and the anomaly detection algorithm is used to further analyze whether these differences represent abnormal behaviors or situations, and generate and output the abnormal information of each target person.

[0107] Step 604, optimizing the iterative layer operation monitoring information according to each abnormal information to obtain optimized layer operation monitoring information.

[0108] Specifically, analyze the abnormal information of each target person, analyze the key information and potential risk points that affect operation monitoring. Based on the analysis results, use data correction, algorithm adjustment or parameter optimization methods to adjust and optimize the iterative layer operation monitoring information, and generate and output optimized layer operation monitoring information.

[0109] In this embodiment, by comparing the difference between the iterative layer interaction monitoring information and the current layer interaction monitoring information, the abnormal information of each target person in the target construction site can be accurately identified. These abnormal information helps to discover potential problems and safety hazards. Subsequently, based on the identified abnormal information, the iterative layer operation monitoring information is optimized in a targeted manner to generate more accurate and reliable optimized layer operation monitoring information. This method not only improves the accuracy and practicality of the monitoring data, but also enhances the initiative and safety of construction site management, and provides solid data support for timely corrective measures and optimization of construction site operations.

[0110] In an exemplary embodiment, Figure 7 As shown, according to each abnormal information, the iterative layer operation monitoring information is optimized to obtain the optimized layer operation monitoring information, including steps 702 to 704. Among them:

[0111] Step 702, generating abnormal risk prediction information based on each abnormal information and current scene information of the target construction site.

[0112] Among them, the current scene information can be a detailed description of the overall status and environment of the construction site at a specific moment, including various factors such as real-time physical layout, location and activities of equipment and personnel, weather conditions, construction progress, safety conditions, etc. The data collected by sensors, cameras and other monitoring equipment comprehensively reflects the actual operation of the construction site.

[0113] Among them, abnormal risk prediction information can be information that predicts abnormal situations and their potential risks that may occur in the future based on existing data and analysis models. This information can identify abnormal events and risk factors that may affect the safety, efficiency or progress of the construction site in advance by analyzing historical data, identifying patterns and trends, and applying machine learning or other prediction algorithms.

[0114] Specifically, the abnormal information and current scene information of the target construction site are collected and integrated, and the integrated abnormal information and current scene information of the target construction site are comprehensively analyzed using data analysis and machine learning algorithms to identify potential abnormal patterns and trends. Through the risk prediction model, combined with historical abnormal information, current scene information and abnormal information of the target construction site, abnormal situations that may occur in the future are predicted, and abnormal risk prediction information is generated and output.

[0115] Step 704, according to the abnormal risk prediction information, adjust the weight of each monitoring information in the iterative layer operation monitoring information to obtain the optimized layer operation monitoring information.

[0116] Specifically, analyze the abnormal risk prediction information, and analyze the sensitivity and importance of each monitoring information in the iterative layer operation monitoring information to the risk. Based on the analysis results, adjust the weight of each monitoring information in the iterative layer operation monitoring information to increase the attention to high-risk areas and key indicators. Use a weighted algorithm to recalculate the influence of the monitoring information to ensure that the optimized monitoring information can more accurately reflect the actual operation and potential risks of the construction site, and output the optimized layer operation monitoring information.

[0117] In this embodiment, by combining abnormal information and the current scene information of the target construction site to generate abnormal risk prediction information, potential risks and abnormal situations can be identified in advance. Subsequently, based on these prediction information, the weights of each monitoring information in the iterative layer operation monitoring information are adjusted, which helps to highlight key data and high-risk areas, thereby generating more optimized and accurate operation monitoring information. This method not only enhances the risk prediction capability and improves the pertinence of data analysis, but also can effectively improve the efficiency and reliability of construction site management and decision-making, and ensure the safety and stability of construction site operation.

[0118] In an exemplary embodiment, Figure 8 As shown, the optimization layer operation monitoring information, the iteration layer interaction monitoring information and the auxiliary analysis data are integrated to obtain the construction site management information of the target construction site, including steps 802 to 806. Among them:

[0119] Step 802: Generate a three-dimensional fusion model and a two-dimensional fusion model according to the current scene information of the target construction site.

[0120] Among them, the three-dimensional fusion model and the two-dimensional fusion model are respectively a three-dimensional model and a two-dimensional model used to fuse different monitoring information and different data.

[0121] Specifically, according to the current scene information of the target construction site, including detailed data of equipment, personnel, building structures, etc., a 3D model of the construction site is created using 3D modeling software (such as AutoCAD or Revit), and all data points are further precisely located and fused in space to generate a 3D fusion model. Similarly, according to the current scene information of the target construction site, including detailed data of equipment, personnel, building structures, etc., a 2D model of the construction site is created using 2D mapping software (such as AutoCAD or GIS tools), and all data points are further precisely located and fused in projection to generate a 2D fusion model.

[0122] Step 804, inputting the optimization layer operation monitoring information, the iteration layer interaction monitoring information and the auxiliary analysis data into the three-dimensional fusion model to obtain three-dimensional fusion data.

[0123] Among them, the three-dimensional fusion data can be a data set that integrates and processes the optimization layer operation monitoring information, iterative layer interaction monitoring information and auxiliary analysis data in three-dimensional space.

[0124] Specifically, 3D modeling software is used to import the optimization layer operation monitoring information, iterative layer interaction monitoring information and auxiliary analysis data into the 3D fusion model. Through spatial positioning and data integration technology, various types of information are accurately mapped and fused in 3D space to generate 3D fusion data containing all input data.

[0125] Step 806, select any two data from the optimization layer operation monitoring information, the iteration layer interaction monitoring information and the auxiliary analysis data and input them into the two-dimensional fusion model to obtain two-dimensional fusion data.

[0126] The two-dimensional fusion data may be a data set obtained by integrating and processing the optimization layer operation monitoring information, the iteration layer interaction monitoring information and the auxiliary analysis data in a two-dimensional space.

[0127] Specifically, any two required data are selected from the optimization layer operation monitoring information, the iteration layer interaction monitoring information and the auxiliary analysis data, such as the optimization layer operation monitoring information and the iteration layer interaction monitoring information, and the selected data are imported into the two-dimensional fusion model using two-dimensional mapping software or GIS tools. Through projection and data integration technology, accurate mapping and fusion are performed on the two-dimensional plane to generate two-dimensional fused data containing the selected data.

[0128] Step 808, under the constraint of the same coordinate system, connect each 2D fused data to the 3D fused data to obtain the construction site management information.

[0129] Specifically, ensure that all 2D fused data and 3D fused data are calibrated and aligned in the same coordinate system, and use data integration tools or modeling software to achieve seamless data integration through spatial mapping and fusion technology, and superimpose the 2D fused data as a layer into the 3D fused model to generate a comprehensive 3D model containing all fused data, and output comprehensive site management information based on the comprehensive 3D model.

[0130] In this embodiment, by generating a three-dimensional fusion model and a two-dimensional fusion model of the target construction site, and inputting the optimized operation monitoring information, iterative layer interaction monitoring information and auxiliary analysis data into these models, multi-source data can be fully integrated and visualized. In the same coordinate system, the two-dimensional fusion data is connected to the three-dimensional fusion data to achieve multi-dimensional fusion of data and generate comprehensive construction site management information. This method not only provides an accurate and intuitive panoramic view of the construction site, but also enhances the relevance and consistency of the data, improves the efficiency and accuracy of construction site monitoring and management, and provides strong support for decision makers.

[0131] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0132] Based on the same inventive concept, the embodiment of the present application also provides a kind of digital intelligent construction site management device based on Internet+ for realizing the digital intelligent construction site management method based on Internet+ mentioned above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more embodiments of the digital intelligent construction site management device based on Internet+ provided below can refer to the limitations of a digital intelligent construction site management method based on Internet+ above, and will not be repeated here.

[0133] In an exemplary embodiment, Fig. 9 As shown, a digital intelligent construction site management device based on Internet+ is provided, including: a data acquisition module 902, a data iteration module 904, a data optimization module 906, an auxiliary analysis module 908 and a data fusion module 910, wherein:

[0134] The data acquisition module 902 is used to acquire the current layer operation monitoring information and the current layer interaction monitoring information of the target construction site;

[0135] The data iteration module 904 is used to input the current layer operation monitoring information and the current layer interaction monitoring information into the monitoring information iteration model corresponding to the target construction site to obtain the iterative layer operation monitoring information and the iterative layer interaction monitoring information;

[0136] The data optimization module 906 is used to optimize the iterative layer operation monitoring information according to the difference between the iterative layer interaction monitoring information and the current layer interaction monitoring information to obtain the optimized layer operation monitoring information;

[0137] Auxiliary analysis module 908, used to perform augmented reality auxiliary analysis on the optimized layer operation monitoring information and the iterative layer interaction monitoring information to obtain auxiliary analysis data of the target construction site;

[0138] The data fusion module 910 is used to fuse the optimization layer operation monitoring information, the iteration layer interaction monitoring information and the auxiliary analysis data to obtain the construction site management information of the target construction site; the construction site management information is used to assist the staff in the target construction site to manage the target construction site.

[0139] In one embodiment, the data iteration module 904 is also used to input the current layer operation monitoring information into the monitoring information iteration model to obtain the initial layer operation monitoring information; according to the initial layer operation monitoring information, weight each data information in the current layer interaction monitoring information to obtain the initial layer interaction monitoring information; when the actual number of iterations of the monitoring information iteration model fails to trigger the preset number of iterations, the initial layer operation monitoring information and the initial layer interaction monitoring information are used as inputs to the monitoring information iteration model until the actual number of iterations can trigger the preset number of iterations, thereby obtaining the iterative layer operation monitoring information and the iterative layer interaction monitoring information.

[0140] In one embodiment, the data iteration module 904 is also used to obtain the second current layer operation monitoring information and the second current layer interaction monitoring information of the target construction site when the actual number of iterations of the monitoring information iteration model fails to trigger the preset number of iterations; fuse the second current layer operation monitoring information and the second current layer interaction monitoring information with the corresponding data in the initial layer operation monitoring information and the initial layer interaction monitoring information, respectively, to obtain the fused layer operation monitoring information and the fused layer interaction monitoring information; and iterate the fused layer operation monitoring information and the fused layer interaction monitoring information as the input of the monitoring information iteration model until the actual number of iterations can trigger the preset number of iterations, to obtain the iterative layer operation monitoring information and the iterative layer interaction monitoring information.

[0141] In one embodiment, the data iteration module 904 is also used to generate an operation monitoring information iteration curve based on the initial level operation monitoring information corresponding to each actual number of iterations; to generate an interaction monitoring information iteration curve based on the initial level interaction monitoring information corresponding to each actual number of iterations; and to optimize each initial level operation monitoring information and each initial level interaction monitoring information based on the operation monitoring information iteration curve and the interaction monitoring information iteration curve to obtain the iteration level operation monitoring information and the iteration level interaction monitoring information.

[0142] In one embodiment, the data optimization module 906 is also used to identify abnormal information of each target personnel in the target construction site based on the difference between the iterative layer interaction monitoring information and the current layer interaction monitoring information; based on each abnormal information, the iterative layer operation monitoring information is optimized to obtain the optimized layer operation monitoring information.

[0143] In one embodiment, the data optimization module 906 is also used to generate abnormal risk prediction information based on each abnormal information and the current scene information of the target construction site; based on the abnormal risk prediction information, the weight of each monitoring information in the iterative layer operation monitoring information is adjusted to obtain the optimized layer operation monitoring information.

[0144] In one embodiment, the data optimization module 906 is also used to generate a three-dimensional fusion model and a two-dimensional fusion model based on the current scene information of the target construction site; input the optimization layer operation monitoring information, the iterative layer interaction monitoring information and the auxiliary analysis data into the three-dimensional fusion model to obtain three-dimensional fusion data; select any two types of data from the optimization layer operation monitoring information, the iterative layer interaction monitoring information and the auxiliary analysis data and input them into the two-dimensional fusion model to obtain each two-dimensional fusion data; under the constraint of the same coordinate system, connect each two-dimensional fusion data to the three-dimensional fusion data to obtain the construction site management information.

[0145] Each module in the above-mentioned digital intelligent construction site management device based on Internet+ can be implemented in whole or in part through software, hardware and their combination. Each of the above modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the corresponding operations of each of the above modules.

[0146] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Fig.10 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store server data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a digital intelligent construction site management method based on Internet+ is realized.

[0147] Those skilled in the art will understand that Fig.10The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0148] In one embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

[0149] In one embodiment, a computer-readable storage medium is provided, storing a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0150] In one embodiment, a computer program product or computer program is provided, the computer program product or computer program includes computer instructions, the computer instructions are stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device performs the steps in the above-mentioned method embodiments.

[0151] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0152] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0153] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0154] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A digital intelligent construction site management method based on Internet+, characterized in that: The method comprises: Step 202, obtaining the current layer operation monitoring information and the current layer interaction monitoring information of the target construction site; Step 302, inputting the current layer-by-layer operation monitoring information into the monitoring information iteration model corresponding to the target construction site to obtain initial layer-by-layer operation monitoring information; Step 304, weighting each data information in the current layer interaction monitoring information according to the initial layer operation monitoring information to obtain initial layer interaction monitoring information; Step 402, when the actual number of iterations of the monitoring information iteration model fails to trigger the preset number of iterations, obtaining the second current layer operation monitoring information and the second current layer interaction monitoring information of the target construction site; Step 404, fusing the second current layer operation monitoring information and the second current layer interaction monitoring information with the corresponding data in the initial layer operation monitoring information and the initial layer interaction monitoring information, respectively, to obtain fused layer operation monitoring information and fused layer interaction monitoring information; Step 406, inputting the fused layer operation monitoring information and the fused layer interaction monitoring information into the monitoring information iteration model, and obtaining the next iteration initial layer operation monitoring information and the next iteration initial layer interaction monitoring information through the next iteration calculation of the monitoring information iteration model; In the case that the actual number of iterations fails to trigger the preset number of iterations, new current layer interaction monitoring information is obtained as the second current layer interaction monitoring information, the initial layer operation monitoring information of the next iteration is used as the initial layer operation monitoring information, and the initial layer interaction monitoring information of the next iteration is used as the initial layer interaction monitoring information; Return to step 404 until the actual number of iterations can trigger the preset number of iterations, and obtain iteration layer operation monitoring information and iteration layer interaction monitoring information; Step 206, optimizing the iterative layer operation monitoring information according to the difference between the iterative layer interaction monitoring information and the current layer interaction monitoring information to obtain optimized layer operation monitoring information; Step 208, performing augmented reality-assisted analysis on the optimized layer operation monitoring information and the iterative layer interaction monitoring information to obtain auxiliary analysis data of the target construction site; Step 210, integrating the optimized layer operation monitoring information, the iterative layer interaction monitoring information and the auxiliary analysis data to obtain the construction site management information of the target construction site; the construction site management information is used to assist the staff in the target construction site to manage the target construction site.

2. The method according to claim 1, characterized in that In the case where the actual number of iterations can trigger the preset number of iterations, the method further includes: generating an operation monitoring information iteration curve according to the initial level operation monitoring information corresponding to each of the actual iteration numbers; Generate an interactive monitoring information iteration curve according to the initial layer interactive monitoring information corresponding to each actual number of iterations; According to the operation monitoring information iteration curve and the interaction monitoring information iteration curve, each initial level operation monitoring information and each initial level interaction monitoring information are optimized to obtain the iterative level operation monitoring information and the iterative level interaction monitoring information.

3. The method according to claim 1, characterized in that The optimizing the iterative layer operation monitoring information according to the difference between the iterative layer interaction monitoring information and the current layer interaction monitoring information to obtain the optimized layer operation monitoring information includes: According to the difference between the iterative layer-by-layer interaction monitoring information and the current layer-by-layer interaction monitoring information, identifying abnormal information of each target person in the target construction site; According to each of the abnormal information, the iterative layer operation monitoring information is optimized to obtain the optimized layer operation monitoring information.

4. The method according to claim 3, characterized in that The step of optimizing the iterative layer operation monitoring information according to each of the abnormal information to obtain the optimized layer operation monitoring information includes: Generate abnormal risk prediction information according to each of the abnormal information and the current scene information of the target construction site; According to the abnormal risk prediction information, the weight of each monitoring information in the iterative layer operation monitoring information is adjusted to obtain the optimized layer operation monitoring information.

5. The method according to claim 1, characterized in that: The fusing of the optimized layer operation monitoring information, the iterative layer interaction monitoring information and the auxiliary analysis data to obtain the construction site management information of the target construction site includes: Generate a three-dimensional fusion model and a two-dimensional fusion model according to the current scene information of the target construction site; Inputting the optimized layer operation monitoring information, the iterative layer interaction monitoring information and the auxiliary analysis data into the three-dimensional fusion model to obtain three-dimensional fusion data; Select any two data from the optimization layer operation monitoring information, the iteration layer interaction monitoring information and the auxiliary analysis data and input them into the two-dimensional fusion model to obtain two-dimensional fusion data; Under the constraint of the same coordinate system, each of the two-dimensional fusion data is connected to the three-dimensional fusion data to obtain the construction site management information.

6. A digital intelligent construction site management device based on Internet+, characterized in that: The device comprises: A data acquisition module, used in step 202, to acquire the current layer operation monitoring information and the current layer interaction monitoring information of the target construction site; A data iteration module, used in step 302, inputs the current layer-by-layer operation monitoring information into a monitoring information iteration model corresponding to the target construction site to obtain initial layer-by-layer operation monitoring information; Step 304, weighting each data information in the current layer interaction monitoring information according to the initial layer operation monitoring information to obtain initial layer interaction monitoring information; Step 402, when the actual number of iterations of the monitoring information iteration model fails to trigger the preset number of iterations, obtaining the second current layer operation monitoring information and the second current layer interaction monitoring information of the target construction site; Step 404, fusing the second current layer operation monitoring information and the second current layer interaction monitoring information with the corresponding data in the initial layer operation monitoring information and the initial layer interaction monitoring information, respectively, to obtain fused layer operation monitoring information and fused layer interaction monitoring information; Step 406, inputting the fused layer operation monitoring information and the fused layer interaction monitoring information into the monitoring information iteration model, and obtaining the next iteration initial layer operation monitoring information and the next iteration initial layer interaction monitoring information through the next iteration calculation of the monitoring information iteration model; In the case that the actual number of iterations fails to trigger the preset number of iterations, new current layer interaction monitoring information is obtained as the second current layer interaction monitoring information, the initial layer operation monitoring information of the next iteration is used as the initial layer operation monitoring information, and the initial layer interaction monitoring information of the next iteration is used as the initial layer interaction monitoring information; Return to step 404 until the actual number of iterations can trigger the preset number of iterations, and obtain iteration layer operation monitoring information and iteration layer interaction monitoring information; A data optimization module, used in step 206, optimizes the iterative layer operation monitoring information according to the difference between the iterative layer interaction monitoring information and the current layer interaction monitoring information to obtain optimized layer operation monitoring information; An auxiliary analysis module, used in step 208, performs augmented reality auxiliary analysis on the optimized layer operation monitoring information and the iterative layer interaction monitoring information to obtain auxiliary analysis data of the target construction site; The data fusion module is used in step 210 to fuse the optimized layer operation monitoring information, the iterative layer interaction monitoring information and the auxiliary analysis data to obtain the construction site management information of the target construction site; the construction site management information is used to assist the staff in the target construction site to manage the target construction site.

7. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 5 are implemented.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

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