A smart construction site data acquisition method based on BIM and Internet of Things

Abstract

The application relates to the field of program control, and provides a smart construction site data acquisition method based on BIM and the Internet of Things, which comprises the following steps: acquiring dust raising information collected by Internet of Things sensors in a construction area, wherein the dust raising information comprises a collection position and a dust raising concentration; acquiring a BIM model of the construction area, and determining a target position of the dust raising concentration in the BIM model according to the collection position, so as to obtain a space dust raising model corresponding to the construction area; determining dust raising source intensity of the construction area according to the dust raising concentration of each target position in the space dust raising model and the position of a dust falling device; determining the dust raising concentration of each surrounding area of the construction area according to the dust raising source intensity; and controlling a UAV to go to at least one surrounding area to collect dust raising information according to the dust raising concentration of each surrounding area.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of program control, in particular to a smart construction site data acquisition method based on BIM and Internet of Things. BACKGROUND

[0002] During the construction process, a large amount of floating dust is usually generated, causing the PM2.5, PM10, etc. index of the surrounding area to exceed the standard, which is harmful to the life and work of the residents in the surrounding area of the construction site. Moreover, since these locations are outside the construction site, and Internet of Things sensors can usually only be set inside the construction site, it is difficult to collect dust data in these areas and implement effective dust reduction measures. With the development of unmanned aerial vehicle technology, it is possible to collect dust data in the surrounding areas outside the construction site through unmanned aerial vehicles. However, the radiation range of dust is extremely large, and the number and size of unmanned aerial vehicles are limited, so it is impossible to collect dust data in all surrounding areas at the same time. SUMMARY

[0003] The main purpose of the present application is to provide a smart construction site data acquisition method, device and computer storage medium based on BIM and Internet of Things, which aims to improve the pertinence and collection efficiency of unmanned aerial vehicles collecting dust information in the surrounding areas of the construction site.

[0004] In a first aspect, the present application provides a smart construction site data acquisition method based on BIM and Internet of Things, which comprises the following steps:

[0005] Obtaining dust information collected by Internet of Things sensors in the construction area, wherein the dust information includes the collection position and the dust concentration;

[0006] Obtaining a BIM model of the construction area, and determining a target position of the dust concentration in the BIM model according to the collection position, to obtain a spatial dust model corresponding to the construction area;

[0007] Determining the dust source intensity of the construction area according to the dust concentration of each target position in the spatial dust model and the position of the dust reduction device;

[0008] Determining the dust concentration of each surrounding area of the construction area according to the dust source intensity;

[0009] Controlling the unmanned aerial vehicle to collect dust information in at least one of the surrounding areas according to the dust concentration of each surrounding area.

[0010] In some embodiments, the determination of the dust source intensity of the construction area according to the dust concentration of each target position in the spatial dust model and the position of the dust reduction device comprises:

[0011] Integrate the dust concentration of each target position within a preset time length to obtain a target dust amount corresponding to the target position;

[0012] In a case where the target position is located within a radiation range of the dust-settling device, adjust the target dust amount corresponding to the target position according to a dust-settling intensity of the dust-settling device;

[0013] Sum the target dust amounts of each target position as a total dust amount of the construction area, and determine a dust source intensity corresponding to the construction area according to the total dust amount.

[0014] In some embodiments, the adjusting of the target dust amount corresponding to the target position according to the dust-settling intensity of the dust-settling device in a case where the target position is located within the radiation range of the dust-settling device comprises:

[0015] According to a target distance between the target position and the dust-settling device, determine the dust-settling intensity of the dust-settling device, wherein the dust-settling intensity is negatively correlated with the target distance;

[0016] According to the dust-settling intensity, reduce the target dust amount corresponding to the target position, wherein the target dust amount is negatively correlated with the dust-settling intensity.

[0017] In some embodiments, before the determining of the dust concentration of each peripheral region of the construction area according to the dust intensity, the method further comprises:

[0018] Determine a region with a preset distance from an edge of the construction area as a construction influence region;

[0019] Obtain a satellite map around the construction area, and determine a building density of the construction influence region according to the satellite map;

[0020] According to the building density, divide the construction influence region into a preset number of fan-shaped regions to obtain each peripheral region.

[0021] In some embodiments, the determining of the dust concentration of each peripheral region of the construction area according to the dust source intensity comprises:

[0022] Determine the dust concentration of the peripheral region according to the following formula:

[0023] ;

[0024] wherein, denotes the dust concentration of the peripheral region at time t, denotes a lateral diffusion parameter, wherein z represents vertical height, u represents wind speed, and Q represents dust source intensity.

[0025] In some embodiments, the method comprises:

[0026] According to the solar radiation intensity and the wind speed of the construction area, a corresponding atmospheric stability level of the construction area is determined.

[0027] According to the atmospheric stability level, a corresponding coefficient and index of the horizontal diffusion parameter and the vertical diffusion parameter are determined.

[0028] In some embodiments, the BIM model of the construction site is obtained, and a target position of the dust concentration in the BIM model is determined according to the collection position, so as to obtain a spatial dust model corresponding to the construction area, comprising:

[0029] According to the position of the collection position in the BIM model, the dust concentration is associated with the target position in the BIM model.

[0030] In the case that the target position is in a closed state in the BIM model, the dust concentration corresponding to the target position is removed from the BIM model, so as to obtain a spatial dust model corresponding to the construction area.

[0031] In some embodiments, the unmanned aerial vehicle further comprises a water tank, and the unmanned aerial vehicle is controlled to fly to at least one of the surrounding areas to collect dust information according to the dust concentration of each surrounding area, comprising:

[0032] In the case that the dust information monitored by the unmanned aerial vehicle is greater than a warning threshold, a dust-settling operation is performed by the liquid carried in the water tank.

[0033] In a second aspect, the present application further provides a BIM and Internet of Things based intelligent construction site data acquisition device, comprising:

[0034] A data acquisition module is configured to acquire dust information collected by an Internet of Things sensor in a construction area, wherein the dust information comprises a collection position and a dust concentration.

[0035] A model establishment module is configured to obtain a BIM model of the construction area, and determine a target position of the dust concentration in the BIM model according to the collection position, so as to obtain a spatial dust model corresponding to the construction area.

[0036] An intensity calculation module is configured to determine a dust source intensity of the construction area according to the dust concentration of each target position in the spatial dust model and the position of a dust-settling device.

[0037] a concentration calculation module configured to determine dust concentration of each of the peripheral regions of the construction area according to the dust source intensity;

[0038] a UAV control module configured to control a UAV to collect dust information in at least one of the peripheral regions according to the dust concentration of each of the peripheral regions.

[0039] The present application provides a BIM and Internet of Things based smart construction site data collection method. The present application obtains dust information collected by Internet of Things sensors in a construction area, which includes collection position and dust concentration. A BIM model of the construction area is obtained, and a target position of the dust concentration in the BIM model is determined according to the collection position, obtaining a spatial dust model corresponding to the construction area. Dust source intensity of the construction area is determined according to the dust concentration of each target position in the spatial dust model and the position of a dust falling device. Dust concentration of each peripheral region of the construction area is determined according to the dust source intensity. A UAV is controlled to collect dust information in at least one of the peripheral regions according to the dust concentration of each of the peripheral regions. The dust source intensity is calculated through a dust spatial model, and the dust concentration of each peripheral region is simulated according to the dust source intensity, so that the UAV can collect dust information in a specific peripheral region, improving the pertinence and efficiency of UAV operation. BRIEF DESCRIPTION OF DRAWINGS

[0040] To more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0041] Figure 1 A flowchart of a BIM and Internet of Things based smart construction site data collection method provided by an embodiment of the present application;

[0042] Figure 2 A schematic block diagram of a BIM and Internet of Things based smart construction site data collection method device provided by an embodiment of the present application;

[0043] Figure 3 A structural schematic block diagram of a computer device related to an embodiment of the present application. DETAILED DESCRIPTION

[0044] With reference to the drawings, the technical solutions in the embodiments of the present application will be described clearly and completely. Obviously, the described embodiments are only some of the embodiments of the present application, but not all of them. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts are within the scope of the present application.

[0045] The flowcharts shown in the drawings are only illustrative, and do not necessarily include all contents and operations / steps, nor are they necessarily executed in the described order. For example, some operations / steps can be further decomposed, combined or partially merged, so that the actual execution order can be changed according to actual conditions.

[0046] The embodiments of the present application provide a BIM and Internet of Things based smart construction site data acquisition method, device and computer storage medium.

[0047] Some embodiments of the present application will be described in detail below with reference to the drawings. In the case of no conflict, the embodiments described below and the features in the embodiments can be combined with each other.

[0048] Please refer to Figure 1 , Figure 1 A flowchart of a BIM and Internet of Things based smart construction site data acquisition method provided by an embodiment of the present application is shown. The BIM and Internet of Things based smart construction site data acquisition method can be used in a terminal or a server to improve the pertinence and acquisition efficiency of unmanned aerial vehicle acquisition of dust information in the surrounding area of a construction site. The terminal can be an electronic device such as a mobile phone, a tablet computer, a notebook computer, a desktop computer, a personal digital assistant and a wearable device, and of course can also be the unmanned aerial vehicle itself. The server can be a stand-alone server, a server cluster, a cloud server providing cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content distribution networks (CDN), and basic cloud computing services such as big data and artificial intelligence platforms.

[0049] As shown in Figure 1 , the BIM and Internet of Things based smart construction site data acquisition method includes steps S101 to S105.

[0050] Step S101, acquiring dust information collected by an Internet of Things sensor in a construction area, wherein the dust information includes a collection position and a dust concentration.

[0051] Illustratively, the Internet of Things sensor can be a dust concentration sensor. The sensor irradiates particles in the air with laser light. The particles scatter the light, and a detector receives the scattered light intensity and converts it into an electrical signal. The concentration is calculated by an algorithm, and the particles in the air are monitored in real time.

[0052] The collection position is the installation position of the Internet of Things sensor, and the dust concentration is the value collected by the Internet of Things sensor.

[0053] Illustratively, the Internet of Things sensor can also have edge computing function. Before transmitting data to the server or terminal, the collected dust information is preliminarily calculated to reduce the calculation pressure of the server or terminal executing the BIM and Internet of Things-based smart construction site data collection method.

[0054] In step S102, the BIM model of the construction area is obtained, and the target position of the dust concentration in the BIM model is determined according to the collection position, to obtain the space dust model corresponding to the construction area.

[0055] Illustratively, the Building Information Modeling (BIM) model is a building design, construction and operation management method based on digital technology. It integrates data of the whole life cycle of the building through a three-dimensional model to realize more efficient and accurate engineering management. In the process of construction, the BIM model can be manually updated by the construction personnel to realize synchronization with the construction progress, or the construction progress can be automatically obtained by laser scanning or visible light camera, and the construction progress can be updated to the BIM model, which is not limited herein.

[0056] Illustratively, since the situation of the construction area changes over time, whether the dust concentration at each position in the construction area needs to be considered in the space dust model also needs to be adjusted according to the situation of the construction area. Therefore, the space dust model corresponding to the construction area is determined by determining the target position of the dust concentration in the BIM model according to the collection position.

[0057] In some embodiments, the BIM model of the construction site is obtained, and the target position of the dust concentration in the BIM model is determined according to the collection position, to obtain the space dust model corresponding to the construction area, comprising:

[0058] According to the position of the collection position in the BIM model, the dust concentration is associated with the target position in the BIM model;

[0059] In the case that the target position is in a closed state in the BIM model, the dust concentration corresponding to the target position is removed from the BIM model, to obtain the space dust model corresponding to the construction area.

[0060] Exemplarily, according to the collection position (x, y, z) of the dust raising information, the dust concentration can be associated to the corresponding target position (x, y, z) in the BIM model, so as to determine the position of the dust concentration in the BIM model, and obtain a spatial dust model.

[0061] Exemplarily, not all dust concentrations collected by the Internet of Things sensors need to be the dust concentration in the spatial dust model. In the case that the target position is in a closed state, the floating dust in the target position is difficult to enter the air and diffuse to the surrounding area. In this case, the dust concentration corresponding to the target position can be removed from the BIM model, so as to reduce the data amount of the spatial dust model and the subsequent calculation complexity.

[0062] In step S103, the dust emission source strength of the construction area is determined according to the dust concentration of each target position in the spatial dust model and the position of the dust falling device.

[0063] Exemplarily, the dust emission source strength refers to the particulate matter emission amount of the dust pollution source per unit time, which is usually used to quantify the dust release capacity of different pollution sources, and is an important parameter for environmental monitoring, pollution prevention and control and treatment. The unit can be kg / h (kilograms per hour).

[0064] Exemplarily, the BIM and Internet of Things based smart construction site data collection method provided by the embodiments of the present application regards the whole construction area as a dust pollution source, and calculates the dust emission source strength of the construction area, so as to simplify the complexity of calculation.

[0065] In some embodiments, the determination of the dust emission source strength of the construction area according to the dust concentration of each target position in the spatial dust model and the position of the dust falling device comprises:

[0066] integrating the dust concentration of each target position in a preset time length to obtain a target dust amount corresponding to the target position;

[0067] In the case that the target position is located in the radiation range of the dust falling device, the target dust amount corresponding to the target position is adjusted according to the dust falling strength of the dust falling device;

[0068] the sum of the target dust amounts of each target position is taken as the total dust amount of the construction area, and the dust emission source strength corresponding to the construction area is determined according to the total dust amount.

[0069] Exemplarily, the dust concentration of each target position in the space dust-raising model within a preset time length is integrated to obtain a target dust amount of the target position within the preset time length. The preset time length can be set according to actual requirements, for example, can be 1 hour, which is not limited herein.

[0070] Exemplarily, a dust-settling device is usually installed in the construction area. It can be understood that the dust-settling device can make a part of floating dust settle and thus remain in the construction area without diffusing into the atmosphere of the surrounding area. Therefore, when considering the dust source intensity of the construction area as a pollution source, the amount of dust of this part needs to be subtracted.

[0071] Exemplarily, the target dust amounts of the target positions are added to obtain a total dust amount. It can be understood that the dust amount monitored by the Internet of Things sensor is usually only a part of the dust generated by the construction area, and the dust source intensity describes all the dust generated by the construction area within a certain time. Therefore, the corresponding dust source intensity of the construction area can be estimated based on the detected total dust amount. For example, the total dust amount and the dust source intensity can have a certain mapping relationship, for example, the total dust amount is 60% of the dust source intensity. Of course, it is not limited to this, and the size of the dust source intensity can also be predicted according to the total dust amount through a deep learning model, which is not limited herein.

[0072] In some embodiments, when the target position is located in the radiation range of the dust-settling device, the target dust amount corresponding to the target position is adjusted according to the dust-settling intensity of the dust-settling device, comprising:

[0073] According to the target distance between the target position and the dust-settling device, the dust-settling intensity of the dust-settling device is determined, wherein the dust-settling intensity is negatively correlated with the target distance;

[0074] According to the dust-settling intensity, the target dust amount corresponding to the target position is reduced, wherein the target dust amount is negatively correlated with the dust-settling intensity.

[0075] Exemplarily, the dust-settling device can be a spraying device. It can be understood that the dust-settling intensity of the dust-settling device depends on the distance between the target position and the dust-settling device. The farther the distance between the target position and the spraying device, the smaller the dust-settling intensity, and therefore the dust-settling intensity is negatively correlated with the target distance.

[0076] Moreover, the dust-settling device can reduce the target dust amount corresponding to the target position. The greater the dust-settling intensity, the greater the degree of reduction, and the smaller the target dust amount. Therefore, the target dust amount is negatively correlated with the dust-settling intensity.

[0077] Exemplarily, the method provided by the embodiments of the present application adjusts the target dust amount, which improves the accuracy of subsequent calculation of the dust source intensity.

[0078] Step S104, determining the dust concentration of each of the peripheral regions of the construction area according to the dust source intensity.

[0079] For example, after the dust source intensity in step S103 is calculated, the diffusion of the dust source intensity can be simulated to determine the dust concentration of each of the peripheral regions.

[0080] In some embodiments, before the dust concentration of each of the peripheral regions of the construction area is determined according to the dust source intensity, the method further comprises:

[0081] determining a construction influence region at a preset distance from the edge of the construction area;

[0082] obtaining a satellite map of the periphery of the construction area, and determining a building density of the construction influence region according to the satellite map;

[0083] dividing the construction influence region into a preset number of fan-shaped regions according to the building density, to obtain each of the peripheral regions.

[0084] For example, a conventional dust diffusion model calculates the dust concentration for each position (x, y, z) in space respectively, resulting in a large amount of calculation. The method provided in the embodiments of the present application reduces the amount of calculation of the dust concentration by dividing the periphery of the construction area into a plurality of fan-shaped peripheral regions.

[0085] For example, the region at a preset distance from the edge of the construction area is determined as the construction influence region, so that a peripheral circular construction influence region of the construction area is obtained, and the construction influence region is divided into a plurality of fan-shaped peripheral regions of different sizes according to the building density of the construction influence region.

[0086] For example, the number of peripheral regions can be 36, and the product of the building density and the area of each peripheral region is approximately equal.

[0087] In some embodiments, the determination of the dust concentration of each of the peripheral regions of the construction area according to the dust source intensity comprises:

[0088] determining the dust concentration of each of the peripheral regions according to the following formula:

[0089] ;

[0090] wherein, the dust concentration of the peripheral region at time t, denotes a horizontal diffusion parameter, denotes a vertical diffusion parameter, z denotes a vertical height, u denotes a wind speed, and Q denotes a dust source intensity.

[0091] Exemplary, The angle of the central axis of the corresponding sector of the peripheral region is calculated by the above formula, and the amount of dust raised in each peripheral region is estimated to determine the severity of the impact of the raised dust on each peripheral region.

[0092] wherein z is a pre-set vertical height, which can be the height of the highest building in the peripheral region; and u represents the wind speed, which can be obtained from a meteorological center or monitored in real time by an anemometer. represents a lateral diffusion parameter, which is used to describe the diffusion degree of the raised dust in the lateral direction, represents a vertical diffusion parameter, which is used to describe the diffusion degree of the raised dust in the vertical direction, wherein, , calculated.

[0093] In some embodiments, the method comprises:

[0094] According to the solar intensity and the wind speed of the construction area, the atmospheric stability degree grade corresponding to the construction area is determined;

[0095] According to the atmospheric stability degree grade, the coefficients and the exponents corresponding to the lateral diffusion parameter and the vertical diffusion parameter are determined.

[0096] Exemplary, the lateral diffusion parameter and the vertical diffusion parameter are related to the atmospheric stability, and the atmospheric stability is related to the meteorology of the construction area, specifically, mainly related to the solar intensity and the wind speed, therefore, the corresponding relationship between the solar intensity, the wind speed and the atmospheric stability degree grade can be pre-set to determine the atmospheric stability degree grade corresponding to different ranges of solar intensity and wind speed. The atmospheric stability degree grade can be A, B, C, D and the like.

[0097] Exemplary, different atmospheric stability degree grades correspond to different coefficients and exponents of the lateral diffusion parameter and the vertical diffusion parameter, i.e. different a, b, c, d, for example, when the atmospheric stability degree grade is A, a = 0.22, b = 0.78, c = 0.20, d = 0.78; when the atmospheric stability degree grade is B, a = 0.16, b = 0.74, c = 0.12, d = 0.73……which will not be repeated here.

[0098] Step S105, according to the dust concentration of each of the peripheral regions, controlling the unmanned aerial vehicle to go to at least one of the peripheral regions to collect dust information.

[0099] Exemplary, after calculating the dust concentration of each peripheral region in step S104, the peripheral region with the highest dust concentration is determined as the position where the unmanned aerial vehicle needs to go first, of course, it is not limited to this, and multiple peripheries can also be determined in turn, and the unmanned aerial vehicle is controlled to go in turn.

[0100] In some embodiments, the unmanned aerial vehicle further comprises a water tank, and the unmanned aerial vehicle is controlled to fly to at least one of the surrounding areas to collect dust information according to the dust concentration of each surrounding area, including:

[0101] In the case that the unmanned aerial vehicle monitors that the dust information is greater than the warning threshold, a dust-settling operation is performed by the liquid carried in the water tank.

[0102] For example, the unmanned aerial vehicle can carry liquid to spray in this surrounding area to perform the dust-settling operation. Since the amount of liquid that the water tank can carry is limited, the spraying rate can be determined according to the difference between the dust information and the warning threshold. The greater the difference between the dust information and the warning threshold, the greater the spraying rate, thereby ensuring the efficiency of the use of the liquid.

[0103] The above embodiments provide a BIM and Internet of Things based smart construction site data acquisition method. Dust information collected by Internet of Things sensors in a construction area is obtained, and the dust information includes a collection position and a dust concentration. A BIM model of the construction area is obtained, and a target position of the dust concentration in the BIM model is determined according to the collection position, to obtain a spatial dust model corresponding to the construction area. Dust source intensity of the construction area is determined according to the dust concentration of each target position in the spatial dust model and the position of a dust-settling device. Dust concentrations of each surrounding area of the construction area are determined according to the dust source intensity. An unmanned aerial vehicle is controlled to fly to at least one of the surrounding areas to collect dust information according to the dust concentration of each surrounding area. Since the dust source intensity is calculated through the dust spatial model and the dust concentrations of each surrounding area are simulated according to the dust source intensity, the unmanned aerial vehicle can fly to a specific surrounding area to collect dust information, thereby improving the pertinence and efficiency of the operation of the unmanned aerial vehicle.

[0104] Referring to Figure 2 , Figure 2 is a schematic diagram of a BIM and Internet of Things based smart construction site data acquisition device provided in an embodiment of the present application. The BIM and Internet of Things based smart construction site data acquisition device can be configured in a server or a terminal, and is used to execute the above-mentioned BIM and Internet of Things based smart construction site data acquisition method.

[0105] As Figure 2 shown, the BIM and Internet of Things based smart construction site data acquisition device comprises a data acquisition module 110, a model establishment module 120, an intensity calculation module 130, a concentration calculation module 140, and an unmanned aerial vehicle control module 150.

[0106] The data acquisition module 110 is used to obtain dust information collected by Internet of Things sensors in a construction area, and the dust information includes a collection position and a dust concentration.

[0107] The model building module 120 is used to acquire the BIM model of the construction area and determine the target position of the dust concentration in the BIM model according to the acquisition location, so as to obtain the spatial dust model corresponding to the construction area.

[0108] The intensity calculation module 130 is used to determine the intensity of dust sources in the construction area based on the dust concentration at each target location in the spatial dust model and the location of the dust suppression device.

[0109] The concentration calculation module 140 is used to determine the dust concentration in each surrounding area of ​​the construction area based on the intensity of the dust source.

[0110] The drone control module 150 is used to control the drone to go to at least one of the surrounding areas to collect dust information based on the dust concentration in each of the surrounding areas.

[0111] For example, the above-described method and apparatus can be implemented as a computer program, which can be used in, for example... Figure 3 It runs on the computer device shown.

[0112] Please see Figure 3 , Figure 3 This is a schematic block diagram illustrating the structure of a computer device provided in an embodiment of this application. The computer device may be a server or a terminal.

[0113] like Figure 3 As shown, the computer device includes a processor, a memory, and a network interface connected via a system bus, wherein the memory may include a storage medium and internal memory.

[0114] The storage medium may store an operating system and a computer program. The computer program includes program instructions that, when executed, cause the processor to perform any smart construction site data acquisition method based on BIM and the Internet of Things.

[0115] The processor provides computing and control capabilities, supporting the operation of the entire computer device.

[0116] The internal memory provides an environment for the execution of computer programs stored in the storage medium. When the computer program is executed by the processor, it enables the processor to execute any smart construction site data acquisition method based on BIM and the Internet of Things.

[0117] This network interface is used for network communication, such as sending assigned tasks. Those skilled in the art will understand that... Figure 3It should be understood that the structure shown in the figure is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the computer device to which the scheme of the present application is applied. The specific computer device can include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0118] It should be understood that the processor can be a central processing unit (CPU), and the processor can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc.

[0119] In one embodiment, the processor is configured to run a computer program stored in the memory to implement the following steps:

[0120] Obtain dust information collected by an Internet of Things sensor in a construction area, the dust information including a collection position and a dust concentration;

[0121] Obtain a BIM model of the construction area, and determine a target position of the dust concentration in the BIM model according to the collection position, to obtain a spatial dust model corresponding to the construction area;

[0122] Determine a dust source intensity of the construction area according to the dust concentration of each target position in the spatial dust model and a position of a dust-settling device;

[0123] Determine a dust concentration of each surrounding area of the construction area according to the dust source intensity;

[0124] Control a drone to collect dust information from at least one of the surrounding areas according to the dust concentration of each surrounding area.

[0125] In one embodiment, when implementing the determination of the dust source intensity of the construction area according to the dust concentration of each target position in the spatial dust model and the position of the dust-settling device, the processor is configured to implement:

[0126] Integrate the dust concentration of each target position within a preset time length to obtain a target dust amount corresponding to the target position;

[0127] When the target location is within the radiation range of the dust suppression device, the target dust volume corresponding to the target location is adjusted according to the dust suppression intensity of the dust suppression device.

[0128] The sum of the target dust amounts at each of the target locations is taken as the total dust amount in the construction area, and the dust source intensity corresponding to the construction area is determined based on the total dust amount.

[0129] In one embodiment, when the processor adjusts the target dust emission amount corresponding to the target location based on the dust suppression intensity of the dust suppression device when the target location is within the radiation range of the dust suppression device, it is configured to:

[0130] The dust suppression intensity of the dust suppression device is determined based on the target location and the target distance of the dust suppression device, wherein the dust suppression intensity is negatively correlated with the target distance;

[0131] The target dust amount at the target location is reduced according to the dustfall intensity, wherein the target dust amount is negatively correlated with the dustfall intensity.

[0132] In one embodiment, before determining the dust concentration in the area surrounding the construction area based on the dust intensity, the processor is configured to:

[0133] The area at a preset distance from the edge of the construction area is defined as the construction impact area;

[0134] Obtain satellite maps of the area surrounding the construction zone, and determine the building density of the construction-affected area based on the satellite maps;

[0135] The construction impact area is divided into a preset number of sector areas based on the building density, thus obtaining each of the surrounding areas.

[0136] In one embodiment, when the processor performs the function of determining the dust concentration in each surrounding area of ​​the construction area based on the dust source intensity, it is configured to:

[0137] The dust concentration in the surrounding area is determined using the following formula:

[0138] ;

[0139] in, Indicates the surrounding area Dust concentration at time t Indicates the lateral diffusion parameter. denoted by z, where z represents vertical diffusion parameters, u represents wind speed, and Q represents dust source intensity.

[0140] In an embodiment, the processor, when implementing the BIM and Internet of Things based smart construction site data collection method, is configured to implement:

[0141] determine an atmospheric stability degree level corresponding to the construction area according to the sunshine intensity and the wind speed of the construction area;

[0142] determine the coefficients and the exponents corresponding to the horizontal diffusion parameter and the vertical diffusion parameter respectively according to the atmospheric stability degree level.

[0143] In an embodiment, the processor, when implementing the obtaining of the construction site BIM model and the determination of the target position of the dust concentration in the BIM model according to the collection position, obtains the spatial dust model corresponding to the construction area, is configured to implement:

[0144] associate the dust concentration with the target position in the BIM model according to the position of the collection position in the BIM model;

[0145] in the case that the target position is in a closed state in the BIM model, eliminate the dust concentration corresponding to the target position from the BIM model to obtain the spatial dust model corresponding to the construction area.

[0146] In an embodiment, the processor, when implementing the control of the unmanned aerial vehicle to fly to at least one of the surrounding areas to collect dust information according to the dust concentration of each surrounding area, is configured to implement:

[0147] in the case that the unmanned aerial vehicle monitors that the dust information is greater than an alarm threshold, perform dust setting operation by the liquid carried in the water tank.

[0148] It should be noted that, for the convenience and brevity of description, the above description of the specific working process of the BIM and Internet of Things based smart construction site data collection method can refer to the corresponding process in the foregoing embodiment of the BIM and Internet of Things based smart construction site data collection control method, which will not be described here.

[0149] The embodiments of the present application also provide a computer readable storage medium, the computer readable storage medium stores a computer program, the computer program includes program instructions, and the method implemented by the program instructions when executed can refer to each embodiment of the BIM and Internet of Things based smart construction site data collection method of the present application.

[0150] The computer readable storage medium can be an internal storage unit of the computer device, for example, a hard disk or a memory of the computer device. The computer readable storage medium can also be an external storage device of the computer device, for example, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, and the like.

[0151] It should be understood that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.

[0152] It should also be understood that the term "and / or" as used herein refers to any or all possible combinations of one or more of the associated listed items, and includes all possible combinations. It should be noted that the terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can also include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without more limitations, an element defined by the phrase "comprising a" does not exclude the existence of additional identical elements in the process, method, article, or apparatus that includes the element.

[0153] The above-mentioned serial numbers of the embodiments of the present application are only for description, and do not represent advantages or disadvantages of the embodiments. The above description is merely a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present application, and these modifications or replacements should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A BIM and Internet of Things (IoT) based smart construction site data collection method, characterized in that, The method comprises: Obtaining dust information collected by Internet of Things sensors in the construction area, the dust information including collection positions and dust concentrations; Obtaining a BIM model of the construction area, and determining target positions of the dust concentrations in the BIM model according to the collection positions, to obtain a spatial dust model corresponding to the construction area; Determining dust source intensity of the construction area according to the dust concentrations of the target positions in the spatial dust model and positions of dust-settling devices; Determining dust concentrations of each surrounding area of the construction area according to the dust source intensity; Controlling a UAV to collect dust information from at least one of the surrounding areas according to the dust concentrations of the surrounding areas; The dust-settling device comprises a spraying device. The determination of the dust source intensity of the construction area according to the dust concentrations of the target positions in the spatial dust model and the positions of the dust-settling devices comprises: Integrating the dust concentrations of each target position within a preset time period to obtain a target dust amount corresponding to the target position; Adjusting the target dust amount corresponding to the target position according to dust-settling intensity of the dust-settling device if the target position is within a radiation range of the dust-settling device; Summing the target dust amounts of the target positions as a total dust amount of the construction area, and determining a dust source intensity corresponding to the construction area according to the total dust amount; The adjustment of the target dust amount corresponding to the target position according to the dust-settling intensity of the dust-settling device if the target position is within the radiation range of the dust-settling device comprises: Determining the dust-settling intensity of the dust-settling device according to a target distance between the target position and the dust-settling device, wherein the dust-settling intensity is negatively correlated with the target distance; Reducing the target dust amount corresponding to the target position according to the dust-settling intensity, wherein the target dust amount is negatively correlated with the dust-settling intensity. 2.The BIM and Internet of Things based smart construction site data collection method of claim 1, wherein, Before the determination of the dust concentrations of the surrounding areas of the construction area according to the dust source intensity, the method further comprises: Determining an area within a preset distance from an edge of the construction area as a construction-affected area; Obtaining a satellite map around the construction area, and determining a building density of the construction-affected area according to the satellite map; Dividing the construction-affected area into a preset number of fan-shaped areas according to the building density, to obtain each surrounding area. 3.The BIM and Internet of Things based smart construction site data collection method of claim 1, wherein, The determination of the dust concentrations of each surrounding area of the construction area according to the dust source intensity comprises: Determining the dust concentrations of the surrounding areas according to the following formula: ； wherein, denotes the peripheral region the dust concentration at time t, denotes the lateral diffusion parameter, denotes the vertical diffusion parameter, z denotes the vertical height, u denotes the wind speed, and Q denotes the dust source strength.

4. The BIM and Internet of Things based smart construction site data collection method according to claim 3, characterized in that, The method comprises: Determining an atmospheric stability degree grade corresponding to the construction area according to solar intensity and wind speed of the construction area; Determining respective coefficients and exponents of the lateral diffusion parameter and the vertical diffusion parameter according to the atmospheric stability degree grade. 5.The BIM and Internet of Things based smart construction site data collection method of claim 1, wherein, The obtaining of the BIM model of the construction area and the determination of target positions of the dust concentrations in the BIM model according to the collection positions to obtain a spatial dust model corresponding to the construction area comprises: According to the position of the collection position in the BIM model, the dust concentration is associated with a target position in the BIM model; In the case that the target position is in a closed state in the BIM model, the dust concentration corresponding to the target position is removed from the BIM model to obtain a spatial dust model corresponding to the construction area. 6.The BIM and Internet of Things based smart construction site data collection method according to claim 1, characterized in that, The unmanned aerial vehicle further comprises a water tank, and the unmanned aerial vehicle is controlled to collect dust information in at least one of the surrounding areas according to the dust concentration of each surrounding area, comprising: In the case that the unmanned aerial vehicle monitors that the dust information is greater than a warning threshold, a dust-settling operation is performed by the liquid carried in the water tank.

7. A smart construction site data acquisition device based on BIM and Internet of Things, characterized in that, The BIM and Internet of Things based smart construction site data acquisition device comprises: A data acquisition module is configured to acquire dust information collected by Internet of Things sensors in a construction area, the dust information comprising a collection position and a dust concentration; A model establishment module is configured to acquire a BIM model of the construction area, and determine a target position of the dust concentration in the BIM model according to the collection position, to obtain a spatial dust model corresponding to the construction area; A strength calculation module is configured to determine a dust source strength of the construction area according to the dust concentration of each target position in the spatial dust model and the position of a dust-settling device; A concentration calculation module is configured to determine a dust concentration of each surrounding area of the construction area according to the dust source strength; An unmanned aerial vehicle control module is configured to control an unmanned aerial vehicle to collect dust information in at least one of the surrounding areas according to the dust concentration of each surrounding area. The dust-settling device comprises a spraying device. The dust source strength of the construction area is determined according to the dust concentration of each target position in the spatial dust model and the position of the dust-settling device, comprising: The dust concentration of each target position is integrated within a preset time period to obtain a target dust amount corresponding to the target position; In the case that the target position is within the radiation range of the dust-settling device, the target dust amount corresponding to the target position is adjusted according to the dust-settling strength of the dust-settling device; The sum of the target dust amounts of each target position is taken as a total dust amount of the construction area, and the dust source strength of the construction area is determined according to the total dust amount; In the case that the target position is within the radiation range of the dust-settling device, the target dust amount corresponding to the target position is adjusted according to the dust-settling strength of the dust-settling device, comprising: The dust-settling strength of the dust-settling device is determined according to the target distance between the target position and the dust-settling device, wherein the dust-settling strength is negatively correlated with the target distance; The target dust amount corresponding to the target position is reduced according to the dust-settling strength, wherein the target dust amount is negatively correlated with the dust-settling strength.

8. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a computer program, wherein the computer program is executed by a processor to implement the steps of the BIM and Internet of Things based smart construction site data acquisition method according to any one of claims 1 to 6.

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