Construction site resource allocation optimization method combined with intelligent construction site management platform

Abstract

The invention relates to the field of resource allocation optimization, and discloses a construction site resource allocation optimization method in combination with an intelligent construction site management platform, which comprises the following steps of: constructing a unified data warehouse in the intelligent construction site management platform, and constructing a target construction site digital simulation model in combination with the unified data warehouse, and the data display module is used for displaying the overall development trend of different data in the construction site, performing real-time risk monitoring analysis on the construction site in combination with the overall development trend of different data in the construction site, and finally outputting a resource scheduling decision of the construction site in combination with a real-time risk monitoring analysis result. According to the invention, engineering construction quality can be ensured, resource allocation is optimized, refinement of construction site construction management, safety management and control integration and decision support visualization are realized, and a comprehensive and visual safety command basis is provided for field management personnel.

Description

Technical Field

[0001] The present invention relates to the field of resource allocation optimization, in particular to a method for optimizing the allocation of construction site resources in combination with a smart construction site management platform. Background Art

[0002] During the construction process of a construction site, different construction processes are accompanied, resulting in different risks and different allocations of construction site resources. To ensure the enhancement of the safety of construction site construction, for the safety control of the construction site, the core lies in building a set that adapts to the development trend of modern industrial digitization and breaks through the traditional port construction site control mode. Based on this, through technological extension, new infrastructure such as the Internet of Things, digital twins, machine vision recognition, and drone cruising is integrated with production operations to optimize the production operation process, improve the safety control ability of the construction site, ensure the construction quality of the project, optimize resource allocation, realize the refinement of port project construction management, the integration of safety control, and the visualization of decision-making support, and create a new intelligent scenario for the safety and quality control of port construction sites. Therefore, a method for optimizing the allocation of construction site resources in combination with a smart construction site management platform is proposed. Summary of the Invention

[0003] The present invention overcomes the deficiencies of the prior art and provides a method for optimizing the allocation of construction site resources in combination with a smart construction site management platform.

[0004] To achieve the above object, the technical solution adopted by the present invention is as follows:

[0005] The first aspect of the present invention provides a method for optimizing the allocation of construction site resources in combination with a smart construction site management platform, including the following steps:

[0006] Collect construction site data within the infrastructure layer of the smart construction site management platform and build a unified data warehouse by integrating the data layer;

[0007] In combination with the unified data warehouse in the smart construction site management platform, build a digital simulation model of the target construction site and display the overall trend of preprocessed full-element data based on the digital simulation model of the target construction site;

[0008] In combination with the smart construction site management platform and the digital simulation model of the target construction site, conduct real-time risk monitoring and analysis of the target construction site, and output a resource scheduling decision for the target construction site based on the results of the real-time risk monitoring and analysis.

[0009] Further, in a preferred embodiment of the present invention, the step of collecting construction site data within the infrastructure layer of the smart construction site management platform and building a unified data warehouse by integrating the data layer is specifically as follows:

[0010] Obtain the construction sites that require resource allocation optimization, label them as target construction sites, and obtain the intelligent construction site management platform. Among them, the intelligent construction site management platform includes an infrastructure layer, a data layer, and an application layer, and the intelligent construction site management platform is used for wage resource allocation management of the target construction site;

[0011] Among them, the infrastructure layer is constructed by the corresponding modules of Internet of Things sensors, machine vision cameras, and cruise drones in the intelligent construction site management platform;

[0012] Deploy Internet of Things sensors, machine vision cameras, and cruise drones in the target construction site respectively to collect all-element data of the target construction site in real time;

[0013] Among them, all-element data includes the temperature and humidity of the target construction site collected by Internet of Things sensors, energy consumption monitoring data in the target construction site, and construction material consumption data, the real-time video of the target construction site recorded by machine vision cameras, and the real-time terrain and real-time construction progress of the target construction site collected by cruise drones;

[0014] Perform data preprocessing on all-element data in the data layer of the intelligent construction site management platform, and construct a unified data warehouse in the intelligent construction site management platform in combination with the preprocessed all-element data.

[0015] Further, in a preferred embodiment of the present invention, the performing data preprocessing on all-element data in the data layer of the intelligent construction site management platform and constructing a unified data warehouse in the intelligent construction site management platform in combination with the preprocessed all-element data are specifically as follows:

[0016] In the data layer of the intelligent construction site management platform, perform data preprocessing on all all-element data. Among them, the data preprocessing includes cleaning processing of the data and video noise reduction processing of the real-time video of the target construction site;

[0017] Among them, the cleaning processing of the data is to perform unified format processing on the data collected by Internet of Things sensors, and perform data interpolation filling and duplicate value deletion processing;

[0018] The video noise reduction processing of the real-time video of the target construction site is to extract the video frame histogram of the real-time video of the target construction site, and determine the noise distribution position of the real-time video of the target construction site in combination with the fast Fourier transform method;

[0019] Introduce the optical flow method to align the video frames of the real-time video of the target construction site, and combine the Gaussian filtering algorithm with the noise distribution position of the real-time video of the target construction site to perform video noise reduction on the real-time video of the target construction site. Finally, perform video edge enhancement on the real-time video of the target construction site after video noise reduction through the unsharp masking method to obtain the real-time video of the target construction site after noise reduction;

[0020] Combine the real-time video of the target construction site after noise reduction, the data collected by IoT sensors after data cleaning, the real-time terrain of the target construction site, and the real-time construction progress to construct preprocessed all-element data;

[0021] Construct a unified data warehouse for the preprocessed all-element data in the cloud of the intelligent construction site management platform, where the unified data warehouse is used for resource allocation in the application layer of the intelligent construction site management platform.

[0022] Furthermore, in a preferred embodiment of the present invention, combine the unified data warehouse in the intelligent construction site management platform to construct a digital simulation model of the target construction site, and based on the digital simulation model of the target construction site, display the overall trend of the preprocessed all-element data, specifically:

[0023] Extract the coordinates of different objects in the target construction site in the unified data warehouse in the application layer of the intelligent construction site management platform, determine the real-time coordinates of different objects in the target construction site, and based on the real-time coordinates of different objects in the target construction site, perform mapping of the local coordinate system of the construction site in the intelligent construction site management platform;

[0024] In the intelligent construction site management platform, according to the real-time coordinates of different objects in the target construction site after mapping, combine the BIM algorithm and the physical engine to construct a digital twin three-dimensional dynamic simulation model that can simulate the real-time movement and stacking of different objects in the target construction site, designated as the digital simulation model of the target construction site;

[0025] Map the data in the unified data warehouse in the intelligent construction site management platform into the digital simulation model of the target construction site, and calculate the heat map of different objects in the target construction site through the digital simulation model of the target construction site, where different objects in the target construction site include workers, construction energy, construction materials, and construction equipment;

[0026] Perform data analysis on the heat map of different objects in the target construction site to generate the heat distribution position of workers in the target construction site, and at the same time generate the trend changes of the loss of construction energy and construction materials, and the construction progress changes of different construction equipment;

[0027] Obtain a safety information command large screen, connect the safety information command large screen to the intelligent construction site management platform, and display the heat distribution position of workers in the target construction site, the trend changes of the loss of construction energy and construction materials, and the construction progress changes of different construction equipment on the safety information command large screen through the intelligent construction site management platform.

[0028] Furthermore, in a preferred embodiment of the present invention, combine the intelligent construction site management platform and the digital simulation model of the target construction site to perform real-time risk monitoring and analysis on the target construction site, and output a resource scheduling decision for the target construction site based on the results of the real-time risk monitoring and analysis, specifically:

[0029] Within the target construction site, the construction progress is analyzed in real time through the intelligent construction site management platform, and a historical data network is introduced. Combining with the historical data network, the standard danger coefficients of different construction equipment at different approaching distances under different construction progress in the target construction site are retrieved, and the danger coefficients are marked on the corresponding construction equipment through the intelligent construction site management platform;

[0030] Based on the thermal distribution positions of workers in the target construction site obtained from the digital simulation model of the target construction site, the distances between workers and different construction equipment are judged, and combining with the standard danger coefficients of different construction equipment at different approaching distances under different construction progress, the current danger coefficient of the worker is generated;

[0031] If there is a construction equipment under the current construction progress, and the danger coefficient output by the worker is greater than the standard danger coefficient, it is determined that the approaching distance between the worker and the construction equipment under the current construction progress is greater than the danger value. At this time, the corresponding worker is marked as a first-class worker, and the construction equipment corresponding to the first-class individual is calibrated as a first-class construction equipment;

[0032] In the safety information command large screen, the real-time positions of first-class workers are marked, and first-class workers are reminded to stay away from the corresponding first-class construction equipment until there is no construction equipment in the target construction site under the current construction progress, and the danger coefficient output by the worker is greater than the standard danger coefficient;

[0033] During the process of first-class workers staying away from the corresponding first-class construction equipment, resource scheduling decisions are made for the target construction site.

[0034] Furthermore, in a preferred embodiment of the present invention, the resource scheduling decision for the target construction site during the process of first-class workers staying away from the corresponding first-class construction equipment is specifically as follows:

[0035] During the process of first-class workers staying away from the corresponding first-class construction equipment, based on the digital simulation model of the target construction site, the loss trend changes of construction energy and construction materials and the construction progress changes of different construction equipment are simulated in real time, and the constraint conditions during the simulation period are determined and marked as target constraint conditions;

[0036] Among them, the target constraint conditions are the minimum losses of construction energy and construction materials and the minimum working parameters of different construction equipment;

[0037] The target constraint conditions are combined into the digital simulation model of the target construction site, and the working parameters of construction energy, construction materials and different construction equipment are freely combined in the digital simulation model of the target construction site to simulate and obtain different resource allocation schemes;

[0038] For different resource allocation schemes, Monte Carlo simulation analysis is combined with the genetic algorithm. Among them, the Monte Carlo simulation analysis can simulate the decline rate of the risk coefficient output by a certain type of worker when different resource allocation schemes are running, and select the resource allocation scheme corresponding to the highest decline rate of the risk coefficient output by a certain type of worker, which is designated as the target resource allocation scheme;

[0039] During the process of a certain type of worker moving away from the corresponding type of construction equipment, the corresponding target resource allocation scheme is output. If there are three or more such workers moving away from the corresponding type of construction equipment at the same time, the target resource allocation scheme with the largest proportion is preferentially output.

[0040] The second aspect of the present invention also provides a construction site resource allocation optimization system combined with a smart construction site management platform. The construction site resource allocation optimization system includes a memory and a processor. The memory stores a construction site resource allocation optimization method. When the construction site resource allocation optimization method is executed by the processor, the following steps are realized:

[0041] Collect construction site data within the infrastructure layer of the smart construction site management platform and build a unified data warehouse by integrating the data layer;

[0042] Combined with the unified data warehouse in the smart construction site management platform, build a target construction site digital simulation model, and display the overall trend of preprocessed full-element data based on the target construction site digital simulation model;

[0043] Combined with the smart construction site management platform and the target construction site digital simulation model, conduct real-time risk monitoring and analysis of the target construction site, and output a resource scheduling decision for the target construction site based on the results of the real-time risk monitoring and analysis.

[0044] The technical defects existing in the background art are solved by the present invention. The present invention has the following beneficial effects: A unified data warehouse is built within the smart construction site management platform, and a target construction site digital simulation model is built in combination with the unified data warehouse to display the overall development trend of different data within the construction site. The construction site is subjected to real-time risk monitoring and analysis in combination with the overall development trend of different data within the construction site, and finally a resource scheduling decision for the construction site is output based on the results of the real-time risk monitoring and analysis. The present invention can ensure the construction quality of the project, optimize resource allocation, realize the refinement of construction site management, the integration of safety control, and the visualization of decision support, and provide comprehensive and intuitive safety command basis for on-site management personnel. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0046] Figure 1 Shows a flowchart of a method for optimizing the allocation of construction site resources in combination with a smart construction site management platform;

[0047] Figure 2 Shows a flowchart of a method for outputting a resource scheduling decision for a target construction site;

[0048] Figure 3 Shows a program view of a system for optimizing the allocation of construction site resources in combination with a smart construction site management platform. Detailed implementation manners

[0049] In order to better understand the above objects, features, and advantages of the present invention, the present invention will be further described in detail below with reference to the drawings and specific implementation manners. It should be noted that, without conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.

[0050] Many specific details are set forth in the following description in order to fully understand the present invention. However, the present invention can also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited by the specific embodiments disclosed below.

[0051] Figure 1 Shows a method for optimizing the allocation of construction site resources in combination with a smart construction site management platform, including the following steps:

[0052] S102: Collect construction site data within the infrastructure layer of the smart construction site management platform and build a unified data warehouse by integrating the data layer;

[0053] S104: Build a digital simulation model of the target construction site in combination with the unified data warehouse in the smart construction site management platform, and display the overall trend of preprocessed full-element data based on the digital simulation model of the target construction site;

[0054] S106: Conduct real-time risk monitoring and analysis on the target construction site in combination with the smart construction site management platform and the digital simulation model of the target construction site, and output a resource scheduling decision for the target construction site based on the results of the real-time risk monitoring and analysis.

[0055] Further, in a preferred embodiment of the present invention, the collecting construction site data within the infrastructure layer of the smart construction site management platform and building a unified data warehouse by integrating the data layer is specifically:

[0056] Obtain the construction sites that need to optimize resource allocation, label them as target construction sites, and obtain the intelligent construction site management platform. Among them, the intelligent construction site management platform includes an infrastructure layer, a data layer, and an application layer, and the intelligent construction site management platform is used to manage the wage resource allocation of the target construction site;

[0057] Among them, the infrastructure layer is constructed by the corresponding modules of Internet of Things sensors, machine vision cameras, and cruise drones in the intelligent construction site management platform;

[0058] Deploy Internet of Things sensors, machine vision cameras, and cruise drones in the target construction site respectively to collect all-element data of the target construction site in real time;

[0059] Among them, the all-element data includes the temperature and humidity of the target construction site collected by the Internet of Things sensors, the energy consumption monitoring data in the target construction site, and the construction material consumption data, the real-time video of the target construction site recorded by the machine vision camera, and the real-time terrain and real-time construction progress of the target construction site collected by the cruise drone;

[0060] Perform data preprocessing on the all-element data in the data layer of the intelligent construction site management platform, and construct a unified data warehouse in the intelligent construction site management platform in combination with the preprocessed all-element data.

[0061] It should be noted that the overall architecture planning of the intelligent construction site management platform combines the actual functional requirements structure of the project, the implementation technical characteristics, data storage and service planning, and is divided into three hierarchical architectures: infrastructure layer, data layer, and application layer. Each layer forms a relatively closed management layer by layer. Through the interface call between services, a low-coupling overall information service system is formed. Among them, the infrastructure is mainly composed of the corresponding modules of Internet of Things sensors, machine vision cameras, and cruise drones in the intelligent construction site management platform, providing a basic operating environment for the data layer and application layer, ensuring network stability, and ensuring data and information security; the data layer is mainly composed of data collection, data processing and analysis, spatio-temporal information data management, and Internet of Things monitoring data management. The data layer aims to realize the collection of various types of data, and conduct unified management and distribution, providing a good implementation approach for the construction and expansion of application systems. Through the unified collection of spatial information, GIS geographic information, and equipment monitoring information, the management and storage calculation of multi-source data are realized, and real-time processing provides efficient data support for analysis and decision-making; the application layer mainly provides intuitive viewing of the on-site monitoring data and historical statistical information of the construction site, and provides visualization, informatization, and high-efficiency management means for the construction safety control of the construction site.

[0062] The data collected in the infrastructure layer needs to be transmitted to the data layer for data analysis. Therefore, the data is preferentially collected according to the infrastructure layer to obtain all-element data.

[0063] Further, in a preferred embodiment of the present invention, data preprocessing is performed on all-element data within the data layer of the intelligent construction site management platform, and a unified data warehouse is constructed in the intelligent construction site management platform in combination with the preprocessed all-element data. Specifically:

[0064] Within the data layer of the intelligent construction site management platform, data preprocessing is performed on all all-element data. Among them, the data preprocessing includes data cleaning processing and video noise reduction processing of the real-time video of the target construction site;

[0065] Among them, the data cleaning processing is to perform unified format processing on the data collected by the Internet of Things sensors, and perform data interpolation filling and duplicate value deletion processing;

[0066] The video noise reduction processing of the real-time video of the target construction site is to extract the video frame histogram of the real-time video of the target construction site, and determine the noise distribution position of the real-time video of the target construction site in combination with the fast Fourier transform method;

[0067] The optical flow method is introduced to align the video frames of the real-time video of the target construction site, and in combination with the Gaussian filtering algorithm and the noise distribution position of the real-time video of the target construction site, video noise reduction is performed on the real-time video of the target construction site. Finally, unsharp masking is used to perform video edge enhancement on the real-time video of the target construction site after video noise reduction to obtain the real-time video of the target construction site after noise reduction;

[0068] Combining the real-time video of the target construction site after noise reduction, the data collected by the Internet of Things sensors after data cleaning, and the real-time terrain and real-time construction progress of the target construction site, preprocessed all-element data is constructed;

[0069] A unified data warehouse is constructed for the preprocessed all-element data in the cloud of the intelligent construction site management platform. Among them, the unified data warehouse is used for resource allocation in the application layer of the intelligent construction site management platform.

[0070] It should be noted that for the infrastructure layer to transmit data to the data layer, it is necessary to rely on infrastructure such as networks and cloud servers, and through docking with remote data transmission data interfaces, to achieve the acquisition of spatio-temporal information data and construction site monitoring data, and to build a stable data acquisition and transmission link to achieve data transmission and processing. The purpose of preprocessing the data is to ensure the accuracy and availability of the data and provide support for business applications. Data cleaning is required because there may be missing or duplicate data during the data collection process. To ensure the cleanliness and efficiency of the data, data cleaning processing needs to be carried out on the data. Video noise reduction processing is to reduce the noise of the real-time video of the target construction site. Since the collected video may contain noise, it is necessary to extract the histogram of the video frames to analyze the noise distribution, such as Gaussian noise, salt-and-pepper noise, and Poisson noise, etc., and observe the high-frequency noise components and their distribution positions through the fast Fourier transform method, so as to more effectively process the noise. The optical flow method is to eliminate video jitter in the video in a moving state to avoid introducing artifacts due to motion blur during noise reduction. Specifically, it is to align the video frames to reduce the interference of motion artifacts. After video noise reduction, the video may have a phenomenon of low pixel values. Therefore, it is necessary to use the unsharp masking method to enhance the video edges of the real-time video of the target construction site after video noise reduction, restore the contours of the elements in the video, and obtain the real-time video of the target construction site after noise reduction. Finally, combining all the preprocessed data, preprocessed full-element data is generated for constructing a unified data warehouse to provide conditional data for the allocation of construction site resources in the application layer in the next step.

[0071] Furthermore, in a preferred embodiment of the present invention, by combining the unified data warehouse in the intelligent construction site management platform, a digital simulation model of the target construction site is constructed, and based on the digital simulation model of the target construction site, the overall trend of the preprocessed full-element data is displayed. Specifically:

[0072] In the unified data warehouse in the application layer of the intelligent construction site management platform, the coordinates of different objects in the target construction site are extracted to determine the real-time coordinates of different objects in the target construction site, and based on the real-time coordinates of different objects in the target construction site, the mapping of the local coordinate system of the construction site is carried out in the intelligent construction site management platform;

[0073] In the intelligent construction site management platform, according to the real-time coordinates of different objects in the target construction site after mapping, combined with the BIM algorithm and the physical engine, a digital twin three-dimensional dynamic simulation model that can simulate the real-time movement and stacking of different objects in the target construction site is constructed, which is designated as the digital simulation model of the target construction site;

[0074] The data in the unified data warehouse in the intelligent construction site management platform is mapped into the digital simulation model of the target construction site, and the heat map of different objects in the target construction site is calculated through the digital simulation model of the target construction site. Among them, different objects in the target construction site include workers, construction energy, construction materials, and construction equipment;

[0075] Perform data analysis on the heat maps of different objects at the target construction site to generate the heat distribution positions of workers at the target construction site. Meanwhile, generate the trend changes in the consumption of construction energy and construction materials, as well as the construction progress changes of different construction equipment.

[0076] Obtain a safety information command large screen, connect the safety information command large screen to the intelligent construction site management platform, and display the heat distribution positions of workers at the target construction site, the trend changes in the consumption of construction energy and construction materials, and the construction progress changes of different construction equipment on the safety information command large screen through the intelligent construction site management platform.

[0077] It should be noted that a high-fidelity three-dimensional dynamic simulation model of the construction site is constructed to simulate the real-time transformation of data at the target construction site, including but not limited to the changes in construction material data, construction progress, changes in the parameters of different construction equipment, and real-time personnel flow changes, etc. First, determine the real-time coordinates of different objects for building the three-dimensional model to achieve the pre-simulation steps. Combine the BIM algorithm and the physical engine to construct a digital twin three-dimensional dynamic simulation model that can simulate the real-time movement and stacking of different objects in the target construction site, and construct a digital twin model. Map the sensor data onto the corresponding entities of the twin model to achieve the simulation effect. The heat maps of different objects at the target construction site are used to analyze the data change situation, especially the heat maps of workers' changes, which clearly show the movement trajectories of workers in the target construction site and provide help for the subsequent safety guarantee of workers and the optimization of resource allocation. The safety information command large screen system supports the access of data from various monitoring devices, forms multi-level statistical data through data mining, cleaning, and statistics, and displays it in a multi-dimensional manner, providing comprehensive and intuitive safety command basis for on-site management personnel.

[0078] Figure 2 The method flow chart showing the output of the resource scheduling decision for the target construction site includes the following steps:

[0079] S202: Combine the intelligent construction site management platform and the digital simulation model of the target construction site to conduct real-time risk monitoring and analysis on the target construction site, and output the resource scheduling decision for the target construction site based on the real-time risk monitoring and analysis results;

[0080] S204: During the process of a certain type of worker moving away from the corresponding type of construction equipment, conduct a resource scheduling decision for the target construction site.

[0081] Furthermore, in a preferred embodiment of the present invention, the step of combining the intelligent construction site management platform and the digital simulation model of the target construction site to conduct real-time risk monitoring and analysis on the target construction site, and output the resource scheduling decision for the target construction site based on the real-time risk monitoring and analysis results is specifically as follows:

[0082] Within the target construction site, the construction progress is analyzed in real time through the intelligent construction site management platform, and a historical data network is introduced. In combination with the historical data network, the standard risk coefficients of different construction equipment at different proximity distances under different construction progress in the target construction site are retrieved, and the risk coefficients are marked on the corresponding construction equipment through the intelligent construction site management platform;

[0083] Based on the thermal distribution positions of workers in the target construction site obtained from the digital simulation model of the target construction site, the distances between workers and different construction equipment are judged, and in combination with the standard risk coefficients of different construction equipment at different proximity distances under different construction progress, the current risk coefficient of the workers is generated;

[0084] If there is construction equipment under the current construction progress and the risk coefficient output by the worker is greater than the standard risk coefficient, it is determined that the proximity distance between the worker and the construction equipment under the current construction progress is greater than the risk value. At this time, the corresponding worker is marked as a first-class worker, and the construction equipment corresponding to the first-class individual is calibrated as a first-class construction equipment;

[0085] On the safety information command large screen, the real-time position of the first-class worker is marked, and the first-class worker is reminded to stay away from the corresponding first-class construction equipment until there is no construction equipment in the target construction site under the current construction progress and the risk coefficient output by the worker is greater than the standard risk coefficient;

[0086] During the process of the first-class worker staying away from the corresponding first-class construction equipment, resource scheduling decisions are made for the target construction site.

[0087] It should be noted that during the construction process, due to the danger of construction, the safety of the construction workers needs to be ensured first. Therefore, it is necessary to judge the risk coefficients of different construction equipment during operation. Different proximity distances to the construction equipment result in different output risk coefficients. Therefore, in combination with the historical data network, the standard risk coefficients of different construction equipment at different proximity distances under different construction progress in the target construction site are retrieved, and an analysis is carried out in combination with the risk coefficients output by the workers. If the risk coefficient output by the worker is greater than the preset value, it proves that the construction equipment the worker is currently approaching poses a greater safety hazard to the worker. At this time, the worker needs to be evacuated, and the evacuation is carried out by reminding the worker to stay away from the corresponding construction equipment on the safety information command large screen until there is no construction equipment in the target construction site under the current construction progress and the risk coefficient output by the worker is greater than the standard risk coefficient.

[0088] Furthermore, in a preferred embodiment of the present invention, the resource scheduling decision for the target construction site during the process of the first-class worker staying away from the corresponding first-class construction equipment is specifically as follows:

[0089] During the process of a certain type of worker moving away from the corresponding type of construction equipment, based on the digital simulation model of the target construction site, the trend changes of construction energy and construction material losses and the construction progress changes of different construction equipment are simulated in real time, and the constraint conditions during the simulation are determined and calibrated as the target constraint conditions;

[0090] Among them, the target constraint conditions are the minimum losses of construction energy and construction materials and the minimum working parameters of different construction equipment;

[0091] The target constraint conditions are combined into the digital simulation model of the target construction site, and the working parameters of construction energy, construction materials and different construction equipment are freely combined in the digital simulation model of the target construction site to simulate and obtain different resource allocation plans;

[0092] For different resource allocation plans, Monte Carlo simulation analysis is carried out in combination with the genetic algorithm. Among them, the Monte Carlo simulation analysis can simulate the decline rate of the risk coefficient output by a certain type of worker when different resource allocation plans are running, and select the resource allocation plan corresponding to the highest decline rate of the risk coefficient output by a certain type of worker and calibrate it as the target resource allocation plan;

[0093] During the process of a certain type of worker moving away from the corresponding type of construction equipment, the corresponding target resource allocation plan is output. If there are three or more certain types of workers moving away from the corresponding type of construction equipment at the same time, the target resource allocation plan with the largest proportion is preferentially output.

[0094] It should be noted that since it takes time for workers to evacuate, during the evacuation of workers, in order to ensure the safety of the recognized workers, it is necessary to optimize the resource allocation in the construction site, such as adjusting the working parameters of construction equipment, adjusting the use of construction energy and construction materials. However, there are certain construction elements, including the working parameters of construction equipment, the use of construction energy and construction materials, that need to maintain a certain value, otherwise it may bring greater danger. Therefore, it is necessary to determine the target constraint conditions, that is, the adjustment of the working parameters of construction equipment, the use of construction energy and construction materials needs to be maintained within a certain range. By combining different working parameters of construction equipment, the use of construction energy and construction materials, different resource allocation plans are generated, and the Monte Carlo simulation method is used to simulate the decline rate of the risk coefficient output by a certain type of worker when different resource allocation plans are running.

[0095] The Monte Carlo method is a statistical simulation technique based on random sampling. It estimates the behavior of complex systems by generating a large number of random samples and calculating their statistical results. Based on the Monte Carlo method, it is possible to output the rate of decrease in the risk coefficient of the output of a certain type of worker when predicting the operation of different resource allocation schemes. Finally, the resource allocation scheme corresponding to the highest rate of decrease in the risk coefficient of the output of a certain type of worker is selected and designated as the target resource allocation scheme. At this time, both the maximization of the construction site work efficiency and the safety of the workers can be ensured. And there may not be only one worker. When there are more workers, it is necessary to perform a ratio analysis on multiple target resource allocation schemes and output the scheme with the highest ratio to achieve the goal of maximizing the construction site work efficiency.

[0096] As Figure 3 shown, the second aspect of the present invention also provides a construction site resource allocation optimization system combined with the intelligent construction site management platform. The construction site resource allocation optimization system includes a memory 31 and a processor 32. The memory 31 stores a construction site resource allocation optimization method. When the construction site resource allocation optimization method is executed by the processor 32, the following steps are realized:

[0097] Collect construction site data within the infrastructure layer of the intelligent construction site management platform and build a unified data warehouse by integrating the data layer;

[0098] Build a target construction site digital simulation model in combination with the unified data warehouse in the intelligent construction site management platform, and display the overall trend of preprocessed full-element data based on the target construction site digital simulation model;

[0099] Combine the intelligent construction site management platform and the target construction site digital simulation model to conduct real-time risk monitoring and analysis of the target construction site, and output the resource scheduling decision of the target construction site based on the real-time risk monitoring and analysis results.

[0100] The above is only the specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of changes or substitutions, which should all be covered by the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.

Claims

1. A method for optimizing the allocation of construction site resources in combination with an intelligent construction site management platform, characterized in that It includes the following steps: Collect construction site data within the infrastructure layer of the intelligent construction site management platform, and build a unified data warehouse by integrating the data layer; Combined with the unified data warehouse in the intelligent construction site management platform, build a digital simulation model of the target construction site, and display the overall trend of preprocessed all-element data based on the digital simulation model of the target construction site; Combined with the intelligent construction site management platform and the digital simulation model of the target construction site, conduct real-time risk monitoring and analysis of the target construction site, and output the resource scheduling decision of the target construction site based on the results of real-time risk monitoring and analysis; 2. The construction site resource allocation optimization method combined with the intelligent construction site management platform according to claim 1, characterized in that, The step of collecting construction site data within the infrastructure layer of the intelligent construction site management platform and building a unified data warehouse by integrating the data layer is specifically as follows: Obtain the construction site that needs to optimize resource allocation, mark it as the target construction site, and obtain the intelligent construction site management platform. The intelligent construction site management platform includes an infrastructure layer, a data layer, and an application layer, and the intelligent construction site management platform is used to manage the salary resource allocation of the target construction site; Among them, the infrastructure layer is constructed by the corresponding modules of Internet of Things sensors, machine vision cameras, and cruise drones in the intelligent construction site management platform; Deploy Internet of Things sensors, machine vision cameras, and cruise drones in the target construction site respectively to collect all-element data of the target construction site in real time; Among them, the all-element data includes the temperature and humidity of the target construction site collected by the Internet of Things sensors, the energy consumption monitoring data in the target construction site, and the construction material consumption data, the real-time video of the target construction site recorded by the machine vision camera, and the real-time terrain and real-time construction progress of the target construction site collected by the cruise drone; Perform data preprocessing on the all-element data within the data layer of the intelligent construction site management platform, and build a unified data warehouse in the intelligent construction site management platform by combining the preprocessed all-element data; 3. The construction site resource allocation optimization method combined with the intelligent construction site management platform according to claim 2, wherein The step of performing data preprocessing on the all-element data within the data layer of the intelligent construction site management platform and building a unified data warehouse in the intelligent construction site management platform by combining the preprocessed all-element data is specifically as follows: Within the data layer of the intelligent construction site management platform, perform data preprocessing on all all-element data. Among them, the data preprocessing includes data cleaning processing and video noise reduction processing of the real-time video of the target construction site; Among them, the data cleaning processing is to perform format unification processing on the data collected by the Internet of Things sensors, and perform data interpolation filling and duplicate value deletion processing; The video noise reduction processing of the real-time video of the target construction site is to extract the video frame histogram of the real-time video of the target construction site, and determine the noise distribution position of the real-time video of the target construction site by combining the fast Fourier transform method; Introduce the optical flow method to align the video frames of the real-time video of the target construction site, and combine the Gaussian filtering algorithm with the noise distribution position of the real-time video of the target construction site to perform video noise reduction on the real-time video of the target construction site. Finally, perform video edge enhancement on the real-time video of the target construction site after video noise reduction through the unsharp masking method to obtain the real-time video of the target construction site after noise reduction; Combine the real-time video of the target construction site after noise reduction, the data collected by the IoT sensors after data cleaning, the real-time terrain of the target construction site, and the real-time construction progress to construct preprocessed all-element data; Construct a unified data warehouse for the preprocessed all-element data in the cloud of the intelligent construction site management platform, where the unified data warehouse is used for resource allocation in the application layer of the intelligent construction site management platform.

4. The construction site resource allocation optimization method combined with the intelligent construction site management platform according to claim 1, characterized in that, Combine the unified data warehouse in the intelligent construction site management platform to construct a digital simulation model of the target construction site, and based on the digital simulation model of the target construction site, display the overall trend of the preprocessed all-element data. Specifically: Extract the coordinates of different objects in the target construction site in the unified data warehouse in the application layer of the intelligent construction site management platform, determine the real-time coordinates of different objects in the target construction site, and based on the real-time coordinates of different objects in the target construction site, perform mapping of the local construction site coordinate system in the intelligent construction site management platform; In the intelligent construction site management platform, according to the real-time coordinates of different objects in the target construction site after mapping, combine the BIM algorithm and the physical engine to construct a digital twin three-dimensional dynamic simulation model that can simulate the real-time movement and stacking of different objects in the target construction site, designated as the digital simulation model of the target construction site; Map the data in the unified data warehouse in the intelligent construction site management platform into the digital simulation model of the target construction site, and calculate the heat map of different objects in the target construction site through the digital simulation model of the target construction site, where different objects in the target construction site include workers, construction energy, construction materials, and construction equipment; Perform data analysis on the heat map of different objects in the target construction site to generate the heat distribution position of workers in the target construction site, and at the same time generate the trend changes of the loss of construction energy and construction materials, and the construction progress changes of different construction equipment; Obtain a safety information command large screen, connect the safety information command large screen to the intelligent construction site management platform, and display the heat distribution position of workers in the target construction site, the trend changes of the loss of construction energy and construction materials, and the construction progress changes of different construction equipment on the safety information command large screen through the intelligent construction site management platform.

5. The construction site resource allocation optimization method combined with the intelligent construction site management platform according to claim 1, characterized in that Combine the intelligent construction site management platform and the digital simulation model of the target construction site to perform real-time risk monitoring and analysis on the target construction site, and output the resource scheduling decision of the target construction site based on the real-time risk monitoring and analysis results. Specifically: In the target construction site, analyze the construction progress in real time through the intelligent construction site management platform, introduce the historical data network, combine the historical data network to retrieve the standard danger coefficients of different construction equipment at different close distances at different construction progress in the target construction site, and mark the danger coefficients on the corresponding construction equipment through the intelligent construction site management platform; According to the heat distribution position of workers in the target construction site obtained from the digital simulation model of the target construction site, judge the distance between workers and different construction equipment, and combine the standard danger coefficients of different construction equipment at different close distances at different construction progress to generate the current danger coefficient of workers; If there is a construction equipment with a danger coefficient output by a worker greater than the standard danger coefficient under the current construction progress, it is determined that the proximity distance between the worker and the construction equipment under the current construction progress is greater than the danger value. At this time, the corresponding worker is marked as a first-class worker, and the construction equipment corresponding to the first-class individual is calibrated as a first-class construction equipment; On the safety information command large screen, the real-time position of the first-class worker is marked, and the first-class worker is reminded to stay away from the corresponding first-class construction equipment until there is no construction equipment in the target construction site with a danger coefficient output by the worker greater than the standard danger coefficient under the current construction progress; During the process of the first-class worker staying away from the corresponding first-class construction equipment, resource scheduling decisions are made for the target construction site.

6. The construction site resource allocation optimization method combined with the intelligent construction site management platform according to claim 5, characterized in that, The resource scheduling decision for the target construction site during the process of the first-class worker staying away from the corresponding first-class construction equipment is specifically as follows: During the process of the first-class worker staying away from the corresponding first-class construction equipment, based on the digital simulation model of the target construction site, the loss trend changes of construction energy and construction materials and the construction progress changes of different construction equipment are simulated in real time, and the constraint conditions during the simulation period are determined and calibrated as the target constraint conditions; Among them, the target constraint conditions are the minimum losses of construction energy and construction materials and the minimum working parameters of different construction equipment; The target constraint conditions are combined into the digital simulation model of the target construction site, and the construction energy, construction materials and the working parameters of different construction equipment are freely combined in the digital simulation model of the target construction site to simulate and obtain different resource allocation schemes; For different resource allocation schemes, Monte Carlo simulation analysis is carried out in combination with the genetic algorithm. Among them, the Monte Carlo simulation analysis can simulate the decline rate of the danger coefficient output by the first-class worker when different resource allocation schemes are running, and select the resource allocation scheme corresponding to the highest decline rate of the danger coefficient output by the first-class worker, which is calibrated as the target resource allocation scheme; During the process of the first-class worker staying away from the corresponding first-class construction equipment, the corresponding target resource allocation scheme is output. If there are three or more first-class workers staying away from the corresponding first-class construction equipment at the same time, the target resource allocation scheme with the largest proportion is preferentially output.

7. The construction site resource allocation optimization system integrated with the intelligent construction site management platform is characterized in that, The construction site resource allocation optimization system includes a memory and a processor. The memory stores a program for the construction site resource allocation optimization method. When the program for the construction site resource allocation optimization method is executed by the processor, the steps of the construction site resource allocation optimization method described in any one of claims 1-6 are implemented.

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