CN116664343A

CN116664343A - System and method based on intelligent building site digital model

Info

Publication number: CN116664343A
Application number: CN202310611183.XA
Authority: CN
Inventors: 方程
Original assignee: Damon Digital Technology Nantong Co ltd
Current assignee: Damon Digital Technology Nantong Co ltd
Priority date: 2023-05-27
Filing date: 2023-05-27
Publication date: 2023-08-29

Abstract

The application relates to the technical field of intelligent construction sites, in particular to a system and a method based on a digital model of an intelligent construction site. The system provided by the application comprises a central control module and a dangerous large project monitoring module, wherein the central control module can generate a three-dimensional map model of an actual topographic map based on geographic topographic information of a target construction area, and creates an intelligent building site digital model based on the three-dimensional map model, a plurality of building member groups, actual site arrangement information and actual construction project information, so that project state information of a dangerous large project corresponding to a first monitoring point of the dangerous large project monitoring module is correspondingly matched and configured in the intelligent building site digital model for display, and further, whether the dangerous large project is pre-warned or not is determined based on the project state information of the dangerous large project. Therefore, various monitoring information can be displayed through the intelligent building site digital model, and the engineering progress can be monitored in a refined mode.

Description

System and method based on intelligent building site digital model

Technical Field

The application relates to the technical field of intelligent construction sites, in particular to a system and a method based on a digital model of an intelligent construction site.

Background

The construction industry is a high-risk industry with multiple safety accidents, and is an important research subject of the construction industry, namely how to strengthen the quality safety management of construction sites, reduce the accident occurrence frequency, stop various illegal operations and non-civilized construction, and improve the construction engineering quality.

The digital intelligent construction site is a novel construction management and control mode for realizing the digitization, the refinement and the intellectualization of the construction site, and the construction cost is effectively reduced, the construction safety is improved, and the decision-making capacity and the management efficiency of the construction site are improved by the application and the construction management and control of construction site informatization and intellectualization construction technologies on the basis of platforms such as the Internet+, the Internet of things, big data and cloud computing.

However, the current intelligent building site platform is still in a research stage, and the function is not sound enough, and the construction condition cannot be monitored and early-warned in a real-time manner, so that a need exists for researching the intelligent building site platform in a detailed manner.

Disclosure of Invention

Therefore, the embodiment of the application at least provides a system and a method based on the intelligent building site digital model, which not only can display various monitoring information, but also can realize the fine monitoring of the engineering progress.

The application mainly comprises the following aspects:

in a first aspect, an embodiment of the present application provides a system based on an intelligent construction site digital model, where the system includes a central control module and a dangerous engineering monitoring module, and the central control module is connected with the dangerous engineering monitoring module in a communication manner; the dangerous large project monitoring module is used for sending project state information of a dangerous large project corresponding to a first monitoring point to the central control module; the dangerous engineering is an engineering with larger risk of an on-building project in a target construction area; the central control module is used for generating a three-dimensional map model of an actual terrain map of the target construction area based on the obtained geographic terrain information of the target construction area; creating an intelligent building site digital model based on the three-dimensional map model, a plurality of building component families, actual site arrangement information and actual construction project information; correspondingly matching and configuring the engineering state information of the dangerous large engineering corresponding to the first monitoring point by the dangerous large engineering monitoring module in the intelligent construction site digital model for display; and determining engineering progress status information based on the engineering status information of the dangerous engineering, and determining whether to pre-warn the dangerous engineering based on the engineering progress status information.

In a possible implementation manner, the central control module is specifically configured to create the intelligent building site digital model according to the following steps: generating a corresponding building member family based on the acquired video image information of each building in the target construction area; the building component family comprises a character family, a vehicle family, a mechanical equipment family and a material family; and adding the corresponding building component family to the three-dimensional map model according to the position coordinates, the actual site arrangement information and the actual construction project information corresponding to each building in the three-dimensional map model, and creating the intelligent site digital model.

In one possible implementation manner, the central control module is specifically configured to determine whether to perform early warning on the dangerous engineering according to the following steps: determining project progress status information of the dangerous engineering according to basic project information, project construction schemes, historical progress monitoring reports and the engineering status information of the dangerous engineering; determining whether to pre-warn the dangerous engineering or not based on the engineering progress status information and the supervision inspection information of the dangerous engineering; the engineering state information is one of a non-construction state, a construction state and a construction completion state.

In one possible embodiment, the system further comprises a hazardous large machinery monitoring module, the central control module being in communication connection with the hazardous large machinery monitoring module; the dangerous large machinery monitoring module is used for sending equipment state information of dangerous large machinery equipment corresponding to a second monitoring point to the central control module; the central control module is used for correspondingly matching and configuring the equipment state information of the dangerous large mechanical equipment corresponding to the second monitoring point by the dangerous large mechanical monitoring module in the intelligent construction site digital model for display; determining on-site operation condition information of the machinery based on the equipment state information of the dangerous equipment; determining whether the current operation of the dangerous mechanical equipment meets preset safe operation conditions or not based on the on-site operation condition information of the machinery, the on-site and off-site information of the equipment, the maintenance record of the equipment and the real name information of a driver; if not, sending a construction suspension instruction to the dangerous large mechanical equipment; the preset safe operation conditions are set according to equipment specifications and equipment design specifications of the dangerous equipment.

In one possible embodiment, if the critical mechanical equipment is a tower crane; the equipment state information comprises moment, hanging weight, rotation angle, tower body height, front and rear arm length, trolley amplitude and hanging hook height of the tower crane; the central control module is specifically configured to determine whether a current operation of the tower crane meets a preset safe operation condition according to the following steps: determining the mechanical field operation condition information of the tower crane according to the moment, the crane weight, the rotation angle, the tower body height, the length of front and rear arms, the trolley amplitude, the lifting hook height and the current wind speed of the tower crane; determining whether the current operation of the tower crane meets the safe operation condition of the tower crane according to the mechanical field operation condition information, the equipment entrance and exit information, the equipment maintenance record, the real name information of a driver and a plurality of first set early warning thresholds; the first set early warning threshold value comprises a wind speed threshold value, a first load threshold value, a first equipment maintenance threshold value and a first driver identity threshold value.

In one possible embodiment, if the hazardous large machinery is an elevator; the equipment state information comprises the height, weight, car inclination angle, the number of people carried, the state of a car door and the running state of the elevator; the central control module is specifically configured to determine whether a current operation of the elevator meets a preset safe operation condition according to the following steps: determining the mechanical field operation condition information of the elevator according to the height, the weight, the car inclination angle, the number of load carrying persons, the state of a car door, the operation state and the current speed of the elevator; determining whether the current operation of the elevator meets the elevator safe operation condition based on the mechanical field operation condition information, the equipment entrance and exit information, the equipment maintenance record, the real name information of the driver and a plurality of second set early warning thresholds; the running state comprises output current, output voltage and current pressure; the second set early warning threshold comprises a speed threshold, a second load threshold, a second equipment maintenance threshold and a second driver identity threshold.

In one possible implementation, the system further comprises a safety precaution monitoring module, and the central control module is in communication connection with the safety precaution monitoring module; the safety early warning monitoring module is used for sending monitoring state information corresponding to a third monitoring point to the central control module; the monitoring state information comprises vehicle monitoring information, electricity consumption monitoring information, safety helmet monitoring information and high-altitude object monitoring information; the central control module is also used for correspondingly matching and configuring the monitoring state information of the safety precaution monitoring module corresponding to the third monitoring point in the intelligent construction site digital model for display; determining whether the target vehicle is a foreign vehicle according to license plate information identified by the vehicle monitoring information; determining whether an abnormal electricity consumption condition occurs according to the electricity consumption monitoring information; determining constructors who do not wear the safety helmet according to the safety helmet monitoring information; determining whether a falling object appears in the target space according to the high-altitude falling object monitoring information; the electricity consumption monitoring information comprises leakage point protection monitoring information, residual circuit monitoring information, voltage monitoring information, temperature monitoring information and electricity consumption monitoring information.

In one possible implementation manner, the target construction area is provided with a plurality of construction monitoring fences, each construction site safety helmet in the construction monitoring fences is provided with an identification code, and the identification code contains identification information of corresponding constructors; the safety early warning monitoring module is specifically used for determining constructors who wear no safety helmet according to the following steps: determining the number of constructors and total personnel wearing the safety helmet based on the image information in each construction monitoring fence shot by the camera at the construction site; determining the constructors without the safety helmet according to the total personnel number in the construction monitoring fence and the constructors with the safety helmet, and sending a personnel list without the safety helmet to a supervision terminal

In one possible implementation, the system further comprises an environmental monitoring module, the central control module being communicatively connected to the environmental monitoring module; the environment monitoring module is used for continuously monitoring the site area in the target construction area and sending the acquired site air environment state information and air particulate matter state information to the central control module; the central control module is further used for determining real-time change condition information of the construction site environment according to the construction site air environment state information and the air particulate matter state information sent by the environment monitoring module; and determining whether to pre-warn the construction site based on the real-time change condition information.

In a second aspect, an embodiment of the present application further provides a method based on a smart worksite digital model, the method including: generating a three-dimensional map model of an actual terrain map of the target construction area based on the obtained geographic terrain information of the target construction area; creating an intelligent building site digital model based on the three-dimensional map model, a plurality of building component families, actual site arrangement information and actual construction project information; correspondingly matching and configuring engineering state information of the dangerous large engineering corresponding to the first monitoring point by the dangerous large engineering monitoring module in the intelligent construction site digital model for display; the dangerous engineering is an engineering with larger risk of an on-building project in a target construction area; and determining engineering progress status information based on the engineering status information of the dangerous engineering, and determining whether to pre-warn the dangerous engineering based on the engineering progress status information.

In a third aspect, an embodiment of the present application further provides an electronic device, including: a processor, a memory and a bus, the memory storing machine readable instructions executable by the processor, the processor and the memory in communication via the bus when the electronic device is running, the machine readable instructions when executed by the processor performing the steps of the smart worksite digital model-based method of any one of the possible implementations of the second aspect or the second aspect.

In a fourth aspect, the present embodiment further provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor performs the steps of the method based on the smart worksite digital model according to the second aspect or any one of the possible implementation manners of the second aspect.

According to the system and the method based on the intelligent construction site digital model, the three-dimensional map model of the actual topography map can be generated based on the geographic topography information of the target construction area, the intelligent construction site digital model is created based on the three-dimensional map model, the plurality of building member families, the actual site arrangement information and the actual construction project information, and then the engineering state information of the dangerous large engineering corresponding to the first monitoring point of the dangerous large engineering monitoring module is correspondingly matched and configured in the intelligent construction site digital model to be displayed, and further, whether the dangerous large engineering is pre-warned or not is determined based on the engineering state information of the dangerous large engineering.

In order to make the above objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a schematic diagram of a system based on a digital model of an intelligent construction site according to an embodiment of the present application;

FIG. 2 is a schematic diagram showing a second embodiment of a system based on a digital model of an intelligent construction site;

FIG. 3 is a flow chart of a method based on a smart worksite digital model provided by an embodiment of the present application;

FIG. 4 is a flow chart of another method based on a smart worksite digital model provided by an embodiment of the present application;

fig. 5 shows a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described with reference to the accompanying drawings in the embodiments of the present application, and it should be understood that the drawings in the present application are for the purpose of illustration and description only and are not intended to limit the scope of the present application. In addition, it should be understood that the schematic drawings are not drawn to scale. A flowchart, as used in this disclosure, illustrates operations implemented according to some embodiments of the present application. It should be appreciated that the operations of the flow diagrams may be implemented out of order and that steps without logical context may be performed in reverse order or concurrently. Moreover, one or more other operations may be added to or removed from the flow diagrams by those skilled in the art under the direction of the present disclosure.

In addition, the described embodiments are only some, but not all, embodiments of the application. The components of the embodiments of the present application generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the application, as presented in the figures, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by a person skilled in the art based on embodiments of the application without making any inventive effort, fall within the scope of the application.

In order to enable those skilled in the art to make and use the present disclosure, the following embodiments are provided in connection with a particular application scenario "smart worksite", and the generic principles defined herein may be applied to other embodiments and applications without departing from the spirit and scope of the application.

The method, the device, the electronic equipment or the computer readable storage medium can be applied to any scene requiring intelligent construction, the embodiment of the application is not limited to specific application scenes, and any scheme using the system and the method based on the intelligent construction digital model provided by the embodiment of the application is within the protection scope of the application.

It is worth noting that, before the present application proposes, the current intelligent construction platform is still in a research stage, and the functions are not sound enough, so that the construction condition cannot be monitored and early-warned in a real manner, and therefore, a need exists for researching a refined intelligent construction platform.

In view of the above problems, the system provided by the embodiment of the application comprises a central control module and a dangerous large project monitoring module, wherein the central control module can generate a three-dimensional map model of an actual topographic map based on geographic topographic information of a target construction area, and create an intelligent building site digital model based on the three-dimensional map model, a plurality of building member families, actual site arrangement information and actual construction project information, and further, the project state information of a dangerous large project corresponding to a first monitoring point of the dangerous large project monitoring module is correspondingly matched and configured in the intelligent building site digital model to be displayed, and further, whether to early warn the dangerous large project is determined based on the project state information of the dangerous large project. Therefore, various monitoring information can be displayed through the intelligent building site digital model, and the engineering progress can be monitored in a refined mode.

In order to facilitate understanding of the present application, the following detailed description of the technical solution provided by the present application is provided in connection with specific embodiments.

FIG. 1 illustrates one of the structural schematic diagrams of a smart worksite digital model-based system 10 provided in accordance with an embodiment of the present application; FIG. 2 shows a second schematic diagram of a system 10 based on a smart worksite digital model according to an embodiment of the present application; as shown in fig. 1, a system 10 based on a digital model of an intelligent construction site comprises a central control module 100 and a critical large engineering monitoring module 200, wherein the central control module 100 is in communication connection with the critical large engineering monitoring module 200; wherein,,

the critical large project monitoring module 200 is configured to send project state information of a critical large project corresponding to a first monitoring point to the central control module 100; the dangerous engineering is an engineering with larger risk of an on-building project in a target construction area.

Here, the large-risk projects are screened out in advance in the construction projects in the target construction area, namely, the large-risk projects are screened out, a first monitoring point is arranged in the area where each large-risk project is located, the first monitoring point is provided with the camera equipment, and unmanned aerial vehicles can be arranged in the area to acquire the image data of the area, so that the large-risk project monitoring module 200 can monitor the project progress conditions of various large-risk projects by acquiring project state information of the large-risk projects in real time, and a user can know the project progress timely. The engineering state information comprises personnel construction state, mechanical construction state, building construction state and the like.

The central control module 100 is configured to generate a three-dimensional map model of an actual topography map of the target construction area based on the obtained geographical topography information of the target construction area; creating an intelligent building site digital model based on the three-dimensional map model, a plurality of building component families, actual site arrangement information and actual construction project information; correspondingly matching and configuring the engineering state information of the dangerous large engineering corresponding to the first monitoring point by the dangerous large engineering monitoring module 200 in the intelligent construction site digital model for display; and determining engineering progress status information based on the engineering status information of the dangerous engineering, and determining whether to pre-warn the dangerous engineering based on the engineering progress status information.

It should be noted that, the central control module 100 is a control center of the system 10 based on the smart site digital model, the central control module 100 and other modules in the system 10 based on the smart site digital model can all communicate, and the central control module 100 can monitor and determine whether to perform early warning based on the monitoring information sent by each module, thereby reducing the occurrence of safety accidents.

It will be appreciated that prior to building the smart worksite digital model-based system 10, a three-dimensional simulation model, i.e., a smart worksite digital model, exhibiting the information of the target construction area needs to be built. Specifically, a three-dimensional map model of an actual terrain map of a target construction area can be generated according to geographic terrain information of the target construction area, building component groups in the target construction area are simulated in advance through software, and then a plurality of building component groups are added to corresponding positions of the three-dimensional map model according to actual site arrangement information and actual construction project information, so that an intelligent site digital model is created.

Here, the generation process of the three-dimensional map model is described, and geographic information technology (Geographic Information Systems, GIS) and a plurality of aerial photographing devices are utilized to obtain geographic terrain information of the target construction area together. The aerial photographing device, such as an unmanned aerial vehicle, specifically, may set basic parameters of the unmanned aerial vehicle, such as a navigation route, a horizontal and vertical photo overlapping rate, a flight height, a lens inclination, and the like, then aerial photograph is performed on a target construction area according to the set basic parameters by using the unmanned aerial vehicle to obtain a video image of the target construction area, geographic positioning information of each building is obtained by using a geographic information technology, further geographic topography information of the target construction area is obtained based on the video image and the geographic positioning information, and further a three-dimensional map model is generated based on the geographic topography information.

In addition, the intelligent construction site digital model is a building information model (BuildingInformation Modeling, BIM), which takes various relevant information data of a construction project as a model basis to establish the building model, and simulates real information of a building through digital information, including three-dimensional geometric information such as materials, performance, price, weight, position, progress and the like of building components, so that the efficiency of the construction project is obviously improved in the whole process, risks are greatly reduced, and the construction and operation management of the project life cycle are supported. The method has five characteristics of visualization, coordination, simulation, optimality and diagrammability.

It should be understood that the intelligent construction site digital model in the application corresponds to the actual construction site one by one, and is three-dimensional, so that the construction site can be visually checked at the monitoring terminal, the monitoring information of each monitoring point can be visually seen, and the construction situation can be early warned in time.

In addition, during the operation of the system 10 based on the smart site digital model, the central control module 100 may receive the engineering status information of the dangerous engineering corresponding to the first monitoring point by the dangerous engineering monitoring module 200, and further, configure the engineering status information in the smart site digital model in a matching manner for displaying, determine the engineering progress status information based on the engineering status information of the dangerous engineering, and determine whether to pre-warn the dangerous engineering based on the engineering progress status information. Thus, the user can intuitively see the engineering condition of the dangerous engineering.

It should be noted that, for each project, the application makes a full-progress process plan and production management measures in advance, makes a project overall plan, a full-process progress plan and a construction multistage plan specifically, realizes real-time monitoring, danger early warning and production progress control in the production process, and performs simulation construction to compare the plan progress with the actual construction progress so as to obtain relevant data analysis and accurate calculation, and determines whether the project progress status information is normal.

According to the intelligent construction site digital model-based system 10 provided by the application, construction site management is performed by applying the novel intelligent information technology, intelligent construction site construction is performed by adopting the Internet of things, the BIM technology, the cloud platform, the Internet and the like, the informatization and intelligent level of engineering construction are improved, the relevant efficiency of construction site can be comprehensively and greatly improved, and targeted control on site monitoring, safety management and quality management is effectively performed, so that fine management of projects is achieved.

In one possible implementation, the central control module 100 is specifically configured to create the smart worksite digital model according to the following steps: generating a corresponding building member family based on the acquired video image information of each building in the target construction area; the building component family comprises a character family, a vehicle family, a mechanical equipment family and a material family; and adding the corresponding building component family to the three-dimensional map model according to the position coordinates, the actual site arrangement information and the actual construction project information corresponding to each building in the three-dimensional map model, and creating the intelligent site digital model.

In specific implementation, the attribute information of the building can be determined according to the video image information of each building in the target construction area acquired by the aerial photographing equipment, and then the building member family is simulated by using software; and further, according to the determined position coordinates, the actual site arrangement information and the actual construction project information corresponding to the buildings in the three-dimensional map model, adding corresponding building component family decibels to corresponding positions in the three-dimensional map model to create the intelligent site digital model.

The application utilizes BIM technology, designs site layout modeling system and creates parameterized family library under Revit software environment, parameterizes and automatically arranges component family, completes three-dimensional visual construction site layout, completes intelligent construction site equipment layout scheme on the basis, and perfects intelligent construction site construction scheme. Defining a site layout model creation system, building a construction site parameterized family library, exploring a parameterized modeling method of a linear member, and completing site layout; secondly, an intelligent building site equipment family library is established, intelligent building site related equipment is arranged on a field layout scheme, and an intelligent building site visual arrangement scheme is designed.

Here, the classification of the family can embody the main characteristics of the family, the classification and the use characteristics of the family can be clarified, the building component family can be effectively created, for example, a ball machine can be placed on a tower crane, an independent template and a template based on a surface can be selected to create the ball machine family, the ball machine can be rapidly and accurately placed on the tower crane according to the placement characteristics of the family, the surface is picked up firstly, then the placement position is determined through movement, if the independent template is selected, the placement height of the tower crane is required to be measured firstly, an elevation offset value is input, and translation is carried out, so that the ball machine position can be found, the ball machine family can be created by selecting the template based on the surface, the group placement can be effectively realized, and the modeling efficiency is improved.

In an example, taking the creation of a tower crane group as an example, the tower crane group should meet the field practical use conditions, including tower suspended ceiling lifting, trolley movement, lifting rope expansion and contraction, and the like, while meeting the BIM application. The tower crane components are complex, and geometric shapes are difficult to be drawn in a family file, so the tower crane family is created by the steps of firstly, splitting the tower crane into components such as a standard section, a boom bottom separation frame, a boom side separation frame, a trolley, a protection cage, a balance arm, a crane arm and the like; secondly, creating the component families, and loading the component families as nested families into tower crane family files; finally, parameter association is carried out, and parameterization creation of the tower crane is realized.

In one possible implementation manner, the central control module 100 is specifically configured to determine whether to perform early warning on the dangerous engineering according to the following steps: determining project progress status information of the dangerous engineering according to basic project information, project construction schemes, historical progress monitoring reports and the engineering status information of the dangerous engineering; determining whether to pre-warn the dangerous engineering or not based on the engineering progress status information and the supervision inspection information of the dangerous engineering; the engineering state information is one of a non-construction state, a construction state and a construction completion state.

In a specific implementation, after the project progress status information of the dangerous large project is received, basic project information, project construction scheme and historical progress monitoring report of the dangerous large project are called out, so that the project progress status information of the dangerous large project is accurately determined, and further, whether the dangerous large project is pre-warned or not is jointly determined based on the called inspection information and the project progress status information. The early warning condition includes that the project progress and the expected progress are different, a progress threshold value is checked, inspection results are unqualified, inspection information is not matched with the project progress, and the like.

In one possible implementation, as shown in fig. 2, the smart site digital model-based system 10 further includes a hazardous large machinery monitoring module 300, and the central control module 100 is communicatively connected to the hazardous large machinery monitoring module 300; the hazardous large machinery monitoring module 300 is configured to send device status information of hazardous large machinery devices corresponding to a second monitoring point to the central control module 100; the central control module 100 is configured to correspondingly match and configure the equipment state information of the hazardous large machinery equipment corresponding to the second monitoring point by the hazardous large machinery monitoring module 300 in the intelligent construction site digital model for display; determining on-site operation condition information of the machinery based on the equipment state information of the dangerous equipment; determining whether the current operation of the dangerous mechanical equipment meets preset safe operation conditions or not based on the on-site operation condition information of the machinery, the on-site and off-site information of the equipment, the maintenance record of the equipment and the real name information of a driver; if not, sending a construction suspension instruction to the dangerous large mechanical equipment; the preset safe operation conditions are set according to equipment specifications and equipment design specifications of the dangerous equipment.

Here, the hazardous machinery includes a tower crane, a lifter, a discharging platform, etc. It should be understood that the tower crane and the elevator are essential key devices for modern construction, and as the tower crane and the elevator are used in large quantities in construction, injuries caused by dangerous mechanical devices are also increasing. Safety accidents caused by illegal personnel operation and equipment collapse occur frequently in the use process of dangerous large mechanical equipment, and a traditional supervision mode needs supervision personnel to call the running state and the running log record of the dangerous large mechanical equipment on site to check illegal behaviors, so that the traditional supervision mode is time-consuming and labor-consuming, untimely in on-site management and lagging in means. Based on the above, the application is provided with the hazardous large machinery monitoring module 300, and the equipment state information of each hazardous large machinery equipment is monitored by the hazardous large machinery monitoring module 300, so that whether the current operation of each hazardous large machinery equipment meets the preset safe operation condition is determined.

Thus, the monitoring personnel and the safety management personnel on site are reminded by using informatization means for early warning. The dangerous large machinery monitoring module 300 also manages basic information such as the property number, the type of the equipment, the maintenance time and the like of the equipment, continuously samples performance parameters in the operation process of the dangerous large machinery equipment, tracks in real time, calculates, compares and judges, monitors illegal overrun operation and alarms in abnormal states.

In a specific implementation, the central control module 100 determines the on-site operation status information of the machinery by acquiring the equipment status information of the dangerous large machinery equipment, where the on-site operation status information includes normal operation, abnormal operation, no operation, and further determines whether the current operation of the dangerous large machinery equipment meets a preset safe operation condition based on the on-site operation status information of the machinery, the equipment access information, the equipment maintenance record, and the real name information of the driver, where the preset safe operation condition includes whether the on-site operation status information of the machinery meets an operation requirement condition, whether the equipment access information is proper, whether the equipment maintenance record is abnormal, whether the driver is a record corresponding to the driver, and the like.

In one possible embodiment, if the critical mechanical equipment is a tower crane; the equipment state information comprises moment, hanging weight, rotation angle, tower body height, front and rear arm length, trolley amplitude and hanging hook height of the tower crane; the central control module 100 is specifically configured to determine whether the current operation of the tower crane meets a preset safe operation condition according to the following steps: determining the mechanical field operation condition information of the tower crane according to the moment, the crane weight, the rotation angle, the tower body height, the length of front and rear arms, the trolley amplitude, the lifting hook height and the current wind speed of the tower crane; determining whether the current operation of the tower crane meets the safe operation condition of the tower crane according to the mechanical field operation condition information, the equipment entrance and exit information, the equipment maintenance record, the real name information of a driver and a plurality of first set early warning thresholds; the first set early warning threshold value comprises a wind speed threshold value, a first load threshold value, a first equipment maintenance threshold value and a first driver identity threshold value.

In specific implementation, equipment state information during tower lifting is obtained, and then, machinery field operation condition information of the tower crane is determined according to the equipment state information during tower lifting and the current wind speed, further, analysis and comparison are respectively carried out on the machinery field operation condition information, equipment entrance and exit information, equipment maintenance record and driver real name information of the tower crane with corresponding first set early warning threshold values, whether the current operation of the tower crane meets the safe operation condition of the tower crane is determined, if not, a construction suspension instruction is required to be sent to a driver at the end of the tower crane, construction is stopped timely, and construction safety is ensured.

In one possible embodiment, as shown in fig. 2, if the critical mechanical equipment is an elevator; the equipment state information comprises the height, weight, car inclination angle, the number of people carried, the state of a car door and the running state of the elevator; the central control module 100 is specifically configured to determine whether the current operation of the elevator meets a preset safe operation condition according to the following steps: determining the mechanical field operation condition information of the elevator according to the height, the weight, the car inclination angle, the number of load carrying persons, the state of a car door, the operation state and the current speed of the elevator; determining whether the current operation of the elevator meets the elevator safe operation condition based on the mechanical field operation condition information, the equipment entrance and exit information, the equipment maintenance record, the real name information of the driver and a plurality of second set early warning thresholds; the running state comprises output current, output voltage and current pressure; the second set early warning threshold comprises a speed threshold, a second load threshold, a second equipment maintenance threshold and a second driver identity threshold.

In specific implementation, firstly, according to the height, weight, car inclination angle, load-bearing number, car door state, running state and current speed of the elevator, the on-site running state information of the machinery of the elevator is determined, further, based on the on-site running state information of the machinery of the elevator, equipment in-out information, equipment maintenance records, real name information of a driver and a corresponding second set early warning threshold value, comparison judgment is carried out, whether the current operation of the elevator meets the safe operation condition of the elevator is determined, if not, a construction suspension instruction is required to be sent to the driver at the elevator end, construction is stopped in time, and construction safety is ensured.

In one possible implementation, as shown in fig. 2, the system 10 based on the smart site digital model further includes a safety precaution monitoring module 400, and the central control module 100 is communicatively connected to the safety precaution monitoring module 400; the safety pre-warning monitoring module 400 is configured to send monitoring status information corresponding to a third monitoring point to the central control module 100; the monitoring state information comprises vehicle monitoring information, electricity consumption monitoring information, safety helmet monitoring information and high-altitude object monitoring information; the central control module 100 is further configured to correspondingly match and configure the monitoring status information of the safety precaution monitoring module 400 corresponding to the third monitoring point in the intelligent construction site digital model for display; determining whether the target vehicle is a foreign vehicle according to license plate information identified by the vehicle monitoring information; determining whether an abnormal electricity consumption condition occurs according to the electricity consumption monitoring information; determining constructors who do not wear the safety helmet according to the safety helmet monitoring information; determining whether a falling object appears in the target space according to the high-altitude falling object monitoring information; the electricity consumption monitoring information comprises leakage point protection monitoring information, residual circuit monitoring information, voltage monitoring information, temperature monitoring information and electricity consumption monitoring information.

In a specific implementation, the system 10 based on the intelligent construction site digital model in the application is further provided with a safety pre-warning and monitoring module 400, and the safety pre-warning and monitoring module 400 can monitor vehicles, electricity, personnel, high-altitude objects and the like, so that the safety of a target construction area is ensured in all aspects.

The application considers that the personnel are important guarantee factors of construction safety and construction quality, so that personnel are positioned on a construction site, unified display and positioning of personnel in the construction site are realized, and meanwhile, the personnel positioning module is matched with related modules such as BIM technology, electronic sand table and the like, so that the current position and state of the personnel can be known from a space plane, and targeted management is realized. For example, for management of helmets, etc.; for example, in personnel management, monitoring equipment can be reasonably arranged in a construction area to realize comprehensive construction monitoring, an infrared gun type network camera can be used for carrying out construction supervision on constructors, video monitoring is carried out at night, videos are recorded on wearing conditions and construction conditions of the constructors, and management personnel can be used for reminding, so that the safety of construction is guaranteed.

Here, the application considers that a plurality of vehicles come and go in the construction site, so that the combination of mobile communication detection and internet monitoring is needed to be realized for the vehicles in the site by utilizing the terminal data acquisition technology, the important characteristics such as the position, the working state, the distribution condition and the like of the vehicles are fed back and counted, the positioning control, the track tracking, the monitoring and the like of the vehicles by technicians are realized, the effective control of the vehicles is completed, the orderly safe transportation is realized while the vehicle management efficiency is improved, the vehicles and traffic accidents and the like in the site are avoided, and the reasonable orderly and safe operation of the construction site is promoted.

Here, the safety power consumption monitoring is mainly performed by leakage protection monitoring, residual circuit monitoring, voltage monitoring, temperature monitoring and power consumption monitoring. The safety electricity utilization monitoring is realized by monitoring voltage, temperature and the like and combining with the leakage protection device. In addition, the electricity consumption monitoring can analyze daily electricity consumption, and the abnormal daily electricity consumption is alarmed by one key, so that investigation is timely carried out, and the potential safety hazard is solved, and the on-site electricity consumption safety management is enhanced.

Here, the application considers the danger of the high-altitude falling object, increases the monitoring of the high-altitude falling object, and in particular, the high-altitude falling object monitoring can be realized by carrying out image analysis on the obtained high-altitude video image.

In one possible implementation manner, the target construction area is provided with a plurality of construction monitoring fences, each construction site safety helmet in the construction monitoring fences is provided with an identification code, and the identification code contains identification information of corresponding constructors; the safety precaution monitoring module 400 is specifically configured to determine a constructor who does not wear the safety helmet according to the following steps: determining the number of constructors and total personnel wearing the safety helmet based on the image information in each construction monitoring fence shot by the camera at the construction site; and determining the constructors without the safety helmet according to the total personnel number in the construction monitoring fence and the constructors with the safety helmet, and sending a personnel list without the safety helmet to a supervision terminal.

In the implementation, in order to be convenient for discern the constructor who does not wear the safety helmet, all can set up a plurality of monitoring rail in advance in the target construction area, set up a plurality of collection device that make a video recording in every monitoring rail, and set up the identification information who contains corresponding constructor on every building site safety helmet in advance, and then, after the image information in the arbitrary construction monitoring rail of having obtained, carry out target identification to this image information, discern constructor's total number and safety helmet, and parse out the constructor who wears the safety helmet, in this way, utilize the constructor that the construction list that this monitoring rail corresponds and wear the safety helmet, just can confirm the constructor who does not wear the safety helmet, and send the personnel list that does not wear the safety helmet to supervision terminal, in time remind the constructor who does not wear the safety helmet to wear the safety helmet, improve the security of construction.

In one possible implementation, as shown in fig. 2, the smart site digital model-based system 10 further includes an environmental monitoring module 500, and the central control module 100 is communicatively connected to the environmental monitoring module 500; the environment monitoring module 500 is configured to continuously monitor a site area in the target construction area, and send the obtained site air environment state information and air particulate matter state information to the central control module 100; the central control module 100 is further configured to determine real-time change condition information of the site environment according to the site air environment state information and the air particulate matter state information sent by the environment monitoring module 500; and determining whether to pre-warn the construction site based on the real-time change condition information.

Here, the air environment state information of the building site includes information such as noise, temperature, humidity, wind speed and the like, the air particulate matter state information includes information such as PM2.5, PM10 and the like, and whether the building site environment is pre-warned is determined through real-time change condition information in a period of time, for example, if the construction requirement cannot be met or the construction can have potential safety hazards according to the real-time change condition information. The application can accurately process the monitoring data by monitoring the real-time change condition of the defect, and realize the on-line automatic monitoring and early warning of the site area quality.

According to the intelligent construction site digital model-based system 10 provided by the embodiment of the application, the three-dimensional map model of the actual topography map can be generated based on the geographic topography information of the target construction area, and the intelligent construction site digital model is created based on the three-dimensional map model, a plurality of building member families, the actual site arrangement information and the actual construction project information, so that the engineering state information of the dangerous large engineering corresponding to the first monitoring point of the dangerous large engineering monitoring module is correspondingly matched and configured in the intelligent construction site digital model for display, and further, whether the dangerous large engineering is warned or not is determined based on the engineering state information of the dangerous large engineering.

Based on the same application conception, the embodiment of the application also provides a method based on the intelligent building site digital model, which corresponds to the system based on the intelligent building site digital model provided by the embodiment, and because the principle of solving the problem by the method in the embodiment of the application is similar to that of the system based on the intelligent building site digital model provided by the embodiment of the application, the implementation of the method can be referred to the implementation of the method, and the repetition is omitted.

FIG. 3 is a flow chart of a method based on a smart worksite digital model provided by an embodiment of the present application; the method is applied to a central control module in the intelligent construction site digital model-based system as described in 1 or fig. 2; the method comprises the following steps:

s301: and generating a three-dimensional map model of an actual terrain map of the target construction area based on the obtained geographic terrain information of the target construction area.

S302: an intelligent worksite digital model is created based on the three-dimensional map model, the plurality of building component families, the actual site placement information, and the actual construction project information.

S303: correspondingly matching and configuring engineering state information of the dangerous large engineering corresponding to the first monitoring point by the dangerous large engineering monitoring module in the intelligent construction site digital model for display; the dangerous engineering is an engineering with larger risk of an on-building project in a target construction area.

S304: and determining engineering progress status information based on the engineering status information of the dangerous engineering, and determining whether to pre-warn the dangerous engineering based on the engineering progress status information.

In a possible implementation manner, step S304 determines engineering progress status information based on the engineering status information of the critical large engineering, and determines whether to perform early warning on the critical large engineering based on the engineering progress status information, including: determining project progress status information of the dangerous engineering according to basic project information, project construction schemes, historical progress monitoring reports and the engineering status information of the dangerous engineering; determining whether to pre-warn the dangerous engineering or not based on the engineering progress status information and the supervision inspection information of the dangerous engineering; the engineering state information is one of a non-construction state, a construction state and a construction completion state.

In one possible embodiment, the method further comprises: correspondingly matching and configuring equipment state information of the dangerous large mechanical equipment corresponding to the second monitoring point by the dangerous large mechanical monitoring module in the intelligent construction site digital model for display; determining on-site operation condition information of the machinery based on the equipment state information of the dangerous equipment; determining whether the current operation of the dangerous mechanical equipment meets preset safe operation conditions or not based on the on-site operation condition information of the machinery, the on-site and off-site information of the equipment, the maintenance record of the equipment and the real name information of a driver; if not, sending a construction suspension instruction to the dangerous large mechanical equipment; the preset safe operation conditions are set according to equipment specifications and equipment design specifications of the dangerous equipment.

In one possible embodiment, if the critical mechanical equipment is a tower crane; the equipment state information comprises moment, hanging weight, rotation angle, tower body height, front and rear arm length, trolley amplitude and hanging hook height of the tower crane; determining whether the current operation of the tower crane meets preset safe operation conditions according to the following steps: determining the mechanical field operation condition information of the tower crane according to the moment, the crane weight, the rotation angle, the tower body height, the length of front and rear arms, the trolley amplitude, the lifting hook height and the current wind speed of the tower crane; determining whether the current operation of the tower crane meets the safe operation condition of the tower crane according to the mechanical field operation condition information, the equipment entrance and exit information, the equipment maintenance record, the real name information of a driver and a plurality of first set early warning thresholds; the first set early warning threshold value comprises a wind speed threshold value, a first load threshold value, a first equipment maintenance threshold value and a first driver identity threshold value.

In one possible embodiment, if the hazardous large machinery is an elevator; the equipment state information comprises the height, weight, car inclination angle, the number of people carried, the state of a car door and the running state of the elevator; determining whether the current operation of the elevator meets a preset safe operation condition according to the following steps: determining the mechanical field operation condition information of the elevator according to the height, the weight, the car inclination angle, the number of load carrying persons, the state of a car door, the operation state and the current speed of the elevator; determining whether the current operation of the elevator meets the elevator safe operation condition based on the mechanical field operation condition information, the equipment entrance and exit information, the equipment maintenance record, the real name information of the driver and a plurality of second set early warning thresholds; the running state comprises output current, output voltage and current pressure; the second set early warning threshold comprises a speed threshold, a second load threshold, a second equipment maintenance threshold and a second driver identity threshold.

In one possible embodiment, the method further comprises: correspondingly matching and configuring the monitoring state information of the safety early warning monitoring module corresponding to the third monitoring point in the intelligent building site digital model for display; determining whether the target vehicle is a foreign vehicle according to license plate information identified by the vehicle monitoring information; determining whether an abnormal electricity consumption condition occurs according to the electricity consumption monitoring information; determining constructors who do not wear the safety helmet according to the safety helmet monitoring information; determining whether a falling object appears in the target space according to the high-altitude falling object monitoring information; the electricity consumption monitoring information comprises leakage point protection monitoring information, residual circuit monitoring information, voltage monitoring information, temperature monitoring information and electricity consumption monitoring information.

In one possible implementation manner, the target construction area is provided with a plurality of construction monitoring fences, each construction site safety helmet in the construction monitoring fences is provided with an identification code, and the identification code contains identification information of corresponding constructors; determining constructors who wear no safety helmet according to the following steps: determining the number of constructors and total personnel wearing the safety helmet based on the image information in each construction monitoring fence shot by the camera at the construction site; and determining the constructors without the safety helmet according to the total personnel number in the construction monitoring fence and the constructors with the safety helmet, and sending a personnel list without the safety helmet to a supervision terminal.

In one possible embodiment, the method further comprises: determining real-time change condition information of the construction site environment according to the construction site air environment state information and the air particulate matter state information sent by an environment monitoring module; and determining whether to pre-warn the construction site based on the real-time change condition information.

In one possible implementation, fig. 4 shows a flowchart of another method based on the smart worksite digital model provided by an embodiment of the present application; the method is applied to a central control module in the intelligent construction site digital model-based system as described in 1 or fig. 2; the method comprises the following steps:

s401: and generating a three-dimensional map model of an actual terrain map of the target construction area based on the obtained geographic terrain information of the target construction area.

S402: generating a corresponding building member family based on the acquired video image information of each building in the target construction area; the building component family comprises a character family, a vehicle family, a mechanical equipment family and a material family; and adding the corresponding building component family to the three-dimensional map model according to the position coordinates, the actual site arrangement information and the actual construction project information corresponding to each building in the three-dimensional map model, and creating the intelligent site digital model.

S403: correspondingly matching and configuring engineering state information of the dangerous large engineering corresponding to the first monitoring point by the dangerous large engineering monitoring module in the intelligent construction site digital model for display; the dangerous engineering is an engineering with larger risk of an on-building project in a target construction area.

S404: and determining engineering progress status information based on the engineering status information of the dangerous engineering, and determining whether to pre-warn the dangerous engineering based on the engineering progress status information.

Based on the same application concept, referring to fig. 5, a schematic structural diagram of an electronic device 500 according to an embodiment of the present application includes: a processor 510, a memory 520 and a bus 530, said memory 520 storing machine readable instructions executable by said processor 510, said processor 510 and said memory 520 communicating via said bus 530 when said electronic device 500 is run, said machine readable instructions being executed by said processor 510 to perform the steps of a method based on a smart worksite digital model as described above with reference to fig. 3 or 4.

Based on the same application concept, the embodiment of the present application further provides a computer readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the steps of the method based on the intelligent building site digital model provided in the above embodiment are executed.

Specifically, the storage medium can be a general storage medium, such as a mobile disk, a hard disk, and the like, and when the computer program on the storage medium is run, the method based on the intelligent building site digital model can be executed, and various monitoring information can be displayed through the intelligent building site digital model, and the engineering progress can be monitored in an accurate manner.

In an embodiment of the present application, the computer program may further execute other machine readable instructions when executed by a processor to perform the method as described in other embodiments, and the specific implementation of the method steps and principles are referred to in the description of the embodiments and are not described in detail herein.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. The above-described apparatus embodiments are merely illustrative, for example, the division of the units is merely a logical function division, and there may be other manners of division in actual implementation, and for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some communication interface, device or unit indirect coupling or communication connection, which may be in electrical, mechanical or other form.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in the embodiments provided in the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-only Memory (ROM), a random access Memory (RAM, randomAccess Memory), a magnetic disk, an optical disk, or other various media capable of storing program codes.

It should be noted that: like reference numerals and letters in the following figures denote like items, and thus once an item is defined in one figure, no further definition or explanation of it is required in the following figures, and furthermore, the terms "first," "second," "third," etc. are used merely to distinguish one description from another and are not to be construed as indicating or implying relative importance.

Finally, it should be noted that: the above examples are only specific embodiments of the present application, and are not intended to limit the scope of the present application, but it should be understood by those skilled in the art that the present application is not limited thereto, and that the present application is described in detail with reference to the foregoing examples: any person skilled in the art may modify or easily conceive of the technical solution described in the foregoing embodiments, or perform equivalent substitution of some of the technical features, while remaining within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the corresponding technical solutions. Are intended to be encompassed within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. The system based on the intelligent construction site digital model is characterized by comprising a central control module and a dangerous engineering monitoring module, wherein the central control module is in communication connection with the dangerous engineering monitoring module; wherein,,

the critical large project monitoring module is used for sending project state information of a critical large project corresponding to the first monitoring point to the central control module; the dangerous engineering is an engineering with larger risk of an on-building project in a target construction area;

the central control module is used for generating a three-dimensional map model of an actual terrain map of the target construction area based on the obtained geographic terrain information of the target construction area; creating an intelligent building site digital model based on the three-dimensional map model, a plurality of building component families, actual site arrangement information and actual construction project information; correspondingly matching and configuring the engineering state information of the dangerous large engineering corresponding to the first monitoring point by the dangerous large engineering monitoring module in the intelligent construction site digital model for display; and determining engineering progress status information based on the engineering status information of the dangerous engineering, and determining whether to pre-warn the dangerous engineering based on the engineering progress status information.

2. The system according to claim 1, wherein the central control module is configured to create the smart worksite digital model in particular according to the following steps:

generating a corresponding building member family based on the acquired video image information of each building in the target construction area; the building component family comprises a character family, a vehicle family, a mechanical equipment family and a material family;

and adding the corresponding building component family to the three-dimensional map model according to the position coordinates, the actual site arrangement information and the actual construction project information corresponding to each building in the three-dimensional map model, and creating the intelligent site digital model.

3. The system of claim 1, wherein the central control module is specifically configured to determine whether to pre-warn the critical engineering according to the following steps:

determining project progress status information of the dangerous engineering according to basic project information, project construction schemes, historical progress monitoring reports and the engineering status information of the dangerous engineering;

determining whether to pre-warn the dangerous engineering or not based on the engineering progress status information and the supervision inspection information of the dangerous engineering; the engineering state information is one of a non-construction state, a construction state and a construction completion state.

4. The system of claim 1, further comprising a hazardous large machinery monitoring module, the central control module being communicatively coupled to the hazardous large machinery monitoring module; wherein,,

the dangerous machinery monitoring module is used for sending equipment state information of dangerous machinery equipment corresponding to the second monitoring point to the central control module;

the central control module is used for correspondingly matching and configuring the equipment state information of the dangerous large mechanical equipment corresponding to the second monitoring point by the dangerous large mechanical monitoring module in the intelligent construction site digital model for display; determining on-site operation condition information of the machinery based on the equipment state information of the dangerous equipment; determining whether the current operation of the dangerous mechanical equipment meets preset safe operation conditions or not based on the on-site operation condition information of the machinery, the on-site and off-site information of the equipment, the maintenance record of the equipment and the real name information of a driver; if not, sending a construction suspension instruction to the dangerous large mechanical equipment; the preset safe operation conditions are set according to equipment specifications and equipment design specifications of the dangerous equipment.

5. The system of claim 4, wherein if the hazardous large machinery is a tower crane; the equipment state information comprises moment, hanging weight, rotation angle, tower body height, front and rear arm length, trolley amplitude and hanging hook height of the tower crane; the central control module is specifically configured to determine whether a current operation of the tower crane meets a preset safe operation condition according to the following steps:

Determining the mechanical field operation condition information of the tower crane according to the moment, the crane weight, the rotation angle, the tower body height, the length of front and rear arms, the trolley amplitude, the lifting hook height and the current wind speed of the tower crane;

determining whether the current operation of the tower crane meets the safe operation condition of the tower crane according to the mechanical field operation condition information, the equipment entrance and exit information, the equipment maintenance record, the real name information of a driver and a plurality of first set early warning thresholds; the first set early warning threshold value comprises a wind speed threshold value, a first load threshold value, a first equipment maintenance threshold value and a first driver identity threshold value.

6. The system of claim 4, wherein if the hazardous large machinery is an elevator; the equipment state information comprises the height, weight, car inclination angle, the number of people carried, the state of a car door and the running state of the elevator; the central control module is specifically configured to determine whether a current operation of the elevator meets a preset safe operation condition according to the following steps:

determining the mechanical field operation condition information of the elevator according to the height, the weight, the car inclination angle, the number of load carrying persons, the state of a car door, the operation state and the current speed of the elevator;

Determining whether the current operation of the elevator meets the elevator safe operation condition based on the mechanical field operation condition information, the equipment entrance and exit information, the equipment maintenance record, the real name information of the driver and a plurality of second set early warning thresholds; the running state comprises output current, output voltage and current pressure; the second set early warning threshold comprises a speed threshold, a second load threshold, a second equipment maintenance threshold and a second driver identity threshold.

7. The system of claim 1, further comprising a safety precaution monitoring module, the central control module being communicatively coupled to the safety precaution monitoring module; wherein,,

the safety early warning monitoring module is used for sending monitoring state information corresponding to a third monitoring point to the central control module; the monitoring state information comprises vehicle monitoring information, electricity consumption monitoring information, safety helmet monitoring information and high-altitude object monitoring information;

the central control module is also used for correspondingly matching and configuring the monitoring state information of the safety precaution monitoring module corresponding to the third monitoring point in the intelligent construction site digital model for display; determining whether the target vehicle is a foreign vehicle according to license plate information identified by the vehicle monitoring information; determining whether an abnormal electricity consumption condition occurs according to the electricity consumption monitoring information; determining constructors who do not wear the safety helmet according to the safety helmet monitoring information; determining whether a falling object appears in the target space according to the high-altitude falling object monitoring information; the electricity consumption monitoring information comprises leakage point protection monitoring information, residual circuit monitoring information, voltage monitoring information, temperature monitoring information and electricity consumption monitoring information.

8. The system of claim 7, wherein the target construction area is provided with a plurality of construction monitoring fences, each construction site safety helmet in the construction monitoring fences is provided with an identification code, and the identification code contains identification information of corresponding constructors; the safety early warning monitoring module is specifically used for determining constructors who wear no safety helmet according to the following steps:

determining the number of constructors and total personnel wearing the safety helmet based on the image information in each construction monitoring fence shot by the camera at the construction site;

and determining the constructors without the safety helmet according to the total personnel number in the construction monitoring fence and the constructors with the safety helmet, and sending a personnel list without the safety helmet to a supervision terminal.

9. The system of claim 1, further comprising an environmental monitoring module, the central control module being communicatively coupled to the environmental monitoring module; wherein,,

the environment monitoring module is used for continuously monitoring the site area in the target construction area and sending the obtained site air environment state information and air particulate matter state information to the central control module;

The central control module is further used for determining real-time change condition information of the construction site environment according to the construction site air environment state information and the air particulate matter state information sent by the environment monitoring module; and determining whether to pre-warn the construction site based on the real-time change condition information.

10. A method based on a smart worksite digital model, characterized in that it is applied to a central control module in a system based on a smart worksite digital model according to any one of claims 1 to 9; the method comprises the following steps:

generating a three-dimensional map model of an actual terrain map of the target construction area based on the obtained geographic terrain information of the target construction area;

creating an intelligent building site digital model based on the three-dimensional map model, a plurality of building component families, actual site arrangement information and actual construction project information;

correspondingly matching and configuring engineering state information of the dangerous large engineering corresponding to the first monitoring point by the dangerous large engineering monitoring module in the intelligent construction site digital model for display; the dangerous engineering is an engineering with larger risk of an on-building project in a target construction area;

and determining engineering progress status information based on the engineering status information of the dangerous engineering, and determining whether to pre-warn the dangerous engineering based on the engineering progress status information.