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

Abstract

The invention relates to the field of program control, and provides an intelligent construction site data acquisition method based on BIM and Internet of Things, and the method comprises the steps: obtaining flying dust information collected by an Internet of Things sensor in a construction area, and the flying dust information comprises an acquisition position and flying dust concentration; acquiring a BIM model of the construction area, and determining a target position of the raise dust concentration in the BIM model according to the acquisition position to obtain a space raise dust model corresponding to the construction area; according to the raise dust concentration of each target position in the space raise dust model and the position of a dust falling device, determining the raise dust source intensity of the construction area; determining the flying dust concentration of each surrounding area of the construction area according to the flying dust source intensity; and controlling the unmanned aerial vehicle 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, and in particular to a smart construction site data collection method based on BIM and the Internet of Things. Background Art

[0002] Construction sites often generate large amounts of suspended dust during construction, causing PM2.5 and PM10 levels to exceed acceptable limits, posing a threat to the lives and work of residents in the surrounding areas. Furthermore, since these locations are located outside the construction site, IoT sensors can typically only be installed within the site, making it difficult to collect dust data in these areas and implement effective dust reduction measures. With the development of drone technology, it has become possible to use drones to collect dust data from areas surrounding construction sites. However, the dust's wide range, coupled with the limited number and size of drones, makes it impossible to simultaneously collect dust data from all surrounding areas. Summary of the Invention

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

[0004] In a first aspect, the present application provides a method for collecting data on a smart construction site based on BIM and the Internet of Things. The method comprises the following steps: Obtain dust information collected by IoT sensors in the construction area, the dust information including the collection location and dust concentration; 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; Determine the dust source intensity 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; Determining the dust concentration in each surrounding area of ​​the construction area according to the dust source intensity; According to the dust concentration in each of the surrounding areas, the drone is controlled to go to at least one of the surrounding areas to collect dust information.

[0005] In some embodiments, determining the dust source intensity of 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 includes: Integrating the dust concentration at each target location within a preset time period to obtain a target dust volume corresponding to the target location; When the target position is within the radiation range of the dust suppression device, adjusting the target dust amount corresponding to the target position according to the dust suppression intensity of the dust suppression device; The sum of the target dust amounts at each target position is taken as the total dust amount in the construction area, and the dust source intensity corresponding to the construction area is determined according to the total dust amount.

[0006] In some embodiments, when the target position is within the radiation range of the dust suppression device, adjusting the target dust amount corresponding to the target position according to the dust suppression intensity of the dust suppression device includes: determining a dust suppression intensity of the dust suppression device according to a target distance between the target position and the dust suppression device, wherein the dust suppression intensity is negatively correlated with the target distance; A target dust amount corresponding to the target position is reduced according to the dust reduction intensity, wherein the target dust amount is negatively correlated with the dust reduction intensity.

[0007] In some embodiments, before determining the dust concentration in the area surrounding the construction area according to the dust intensity, the method further includes: Determine an area at a preset distance from the edge of the construction area as a construction impact area; Obtaining a satellite map of the area surrounding the construction site, and determining the building density of the construction-affected area based on the satellite map; The construction-affected area is divided into a preset number of sector-shaped areas according to the building density to obtain the peripheral areas.

[0008] In some embodiments, determining the dust concentration of each surrounding area of ​​the construction area according to the dust source intensity includes: The dust concentration in the surrounding area is determined according to the following formula: ; in, Indicates the surrounding area The dust concentration at time t is represents the lateral diffusion parameter, represents the vertical diffusion parameter, z represents the vertical height, u represents the wind speed, and Q represents the dust source intensity.

[0009] In some embodiments, the method comprises: Determining the atmospheric stability level corresponding to the construction area based on the sunshine intensity and wind speed of the construction area; The coefficients and exponents corresponding to the lateral diffusion parameter and the vertical diffusion parameter are determined according to the atmospheric stability level.

[0010] In some embodiments, obtaining a construction site BIM model, and determining a target location of the dust concentration in the BIM model based on the collection location to obtain a spatial dust model corresponding to the construction area includes: Associating the dust concentration with a target location in the BIM model based on the location of the collection location in the BIM model; When the target location is in a closed state in the BIM model, the dust concentration corresponding to the target location is removed from the BIM model to obtain a spatial dust model corresponding to the construction area.

[0011] In some embodiments, the drone further includes a water tank, and controlling the drone to go to at least one of the surrounding areas to collect dust information based on the dust concentration of each of the surrounding areas includes: When the UAV detects that the dust information is greater than a warning threshold, a dust reduction operation is performed using the liquid carried in the water tank.

[0012] In a second aspect, the present application further provides a smart construction site data collection device based on BIM and the Internet of Things, the smart construction site data collection device based on BIM and the Internet of Things comprising: A data acquisition module is used to obtain dust information collected by IoT sensors in the construction area, wherein the dust information includes the collection location and dust concentration; A model building module is used to obtain a BIM model of the construction area, and determine the 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; an intensity calculation module for determining the dust source intensity 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; A concentration calculation module, configured to determine the dust concentration in each surrounding area of ​​the construction area according to the intensity of the dust source; The drone control module is configured to control the drone to travel to at least one of the surrounding areas to collect dust information based on the dust concentration in each of the surrounding areas. In a third aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the method for collecting smart construction site data based on BIM and the Internet of Things is implemented.

[0013] The present application provides a method for collecting data on smart construction sites based on BIM and the Internet of Things. The present application obtains dust information collected by Internet of Things sensors in the construction area, wherein the dust information includes a collection location and dust concentration; obtains a BIM model of the construction area, and determines the target location of the dust concentration in the BIM model based on the collection location, thereby obtaining a spatial dust model corresponding to the construction area; determines the dust source intensity of the construction area based on the dust concentration at each target location in the spatial dust model and the position of the dust suppression device; determines the dust concentration of each surrounding area of ​​the construction area based on the dust source intensity; and controls a drone to go to at least one of the surrounding areas to collect dust information based on the dust concentration of each surrounding area. Since the dust source intensity is calculated through the dust spatial model and the dust concentration of each surrounding area is simulated based on the dust source intensity, the drone can go to a clear surrounding area to collect dust information, thereby improving the pertinence and efficiency of the drone operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the description of the embodiments. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0015] Figure 1 A flowchart of a method for collecting data on a smart construction site based on BIM and the Internet of Things is provided in accordance with an embodiment of the present application; Figure 2 A schematic block diagram of a method and device for collecting data on a smart construction site based on BIM and the Internet of Things provided in one embodiment of the present application; Figure 3 This is a schematic block diagram of the structure of a computer device involved in one embodiment of the present application. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0017] The flowcharts shown in the accompanying drawings are for illustrative purposes only and do not necessarily include all contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may be decomposed, combined, or partially merged, so the actual execution order may vary depending on the actual situation.

[0018] The embodiments of the present application provide a method, device and computer storage medium for collecting data on a smart construction site based on BIM and the Internet of Things.

[0019] The following describes some embodiments of the present application in detail with reference to the accompanying drawings. In the absence of conflict, the following embodiments and features therein may be combined with each other.

[0020] Please refer to Figure 1 , Figure 1 A flow chart of a method for collecting data on a smart construction site based on BIM and the Internet of Things provided for an embodiment of the present application. The method for collecting data on a smart construction site based on BIM and the Internet of Things can be used in a terminal or a server to improve the pertinence and efficiency of collecting dust information in the surrounding area of ​​the construction site by a drone. The terminal can be an electronic device such as a mobile phone, a tablet computer, a laptop computer, a desktop computer, a personal digital assistant, and a wearable device, and of course it can also be the drone itself; the server can be an independent server, a server cluster, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (CDNs), and big data and artificial intelligence platforms.

[0021] like Figure 1 As shown, the smart construction site data collection method based on BIM and the Internet of Things includes steps S101 to S105.

[0022] Step S101: Obtain dust information collected by IoT sensors in a construction area, where the dust information includes a collection location and dust concentration.

[0023] For example, the IoT sensor can be a dust concentration sensor, which uses a laser to illuminate particulate matter in the air. The particulate matter scatters the light, and the detector receives the scattered light intensity and converts it into an electrical signal. The concentration is calculated through an algorithm to monitor the particulate matter in the air in real time.

[0024] The collection location is the installation location of the IoT sensor, and the dust concentration is the value collected by the IoT sensor.

[0025] Exemplarily, the IoT sensor may also have an edge computing function, and perform preliminary calculations on the collected dust information before transmitting the data to the server or terminal, so as to reduce the computing pressure of the server or terminal in executing the smart construction site data collection method based on BIM and IoT.

[0026] Step S102: 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.

[0027] For example, Building Information Modeling (BIM) is a digital technology-based approach to building design, construction, and maintenance management. It integrates data from the entire building lifecycle through 3D models, enabling more efficient and accurate project management. During construction, the BIM model can be manually updated by construction workers to synchronize with the construction progress. Alternatively, laser scanning or visible light cameras can be used to automatically capture construction angles and update the progress to the BIM model. This is not a limitation.

[0028] For example, since the situation in the construction area changes over time, whether the dust concentration at each location in the construction area needs to be taken into account in the spatial dust model also needs to be adjusted according to the situation in the construction area. Therefore, the spatial 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 location.

[0029] In some embodiments, obtaining a construction site BIM model, and determining a target location of the dust concentration in the BIM model according to the collection location to obtain a spatial dust model corresponding to the construction area includes: Associating the dust concentration with a target location in the BIM model based on the location of the collection location in the BIM model; When the target location is in a closed state in the BIM model, the dust concentration corresponding to the target location is removed from the BIM model to obtain a spatial dust model corresponding to the construction area.

[0030] For example, according to the collection location (x, y, z) of the dust information, the dust concentration can be associated with the corresponding target location (x, y, z) in the BIM model, thereby determining the location of the dust concentration in the BIM model and obtaining a spatial dust model.

[0031] For example, not all dust concentrations collected by IoT sensors need to be used as dust concentrations in the spatial dust model. If the target location is closed, it is difficult for dust at the target location to enter the air and spread to the surrounding area. In this case, the dust concentration corresponding to the target location can be removed from the BIM model to reduce the data volume of the spatial dust model and the subsequent computational complexity.

[0032] Step S103: Determine the dust source intensity of the construction area according to the dust concentration at each target location in the spatial dust model and the location of the dust suppression device.

[0033] For example, dust source strength refers to the amount of particulate matter emitted from a dust pollution source per unit time. It 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 governance. The unit can be, for example, kg / h (kilograms emitted per hour).

[0034] For example, the smart construction site data collection method based on BIM and the Internet of Things provided in the embodiment of the present application treats the entire construction area as a dust pollution source and calculates the dust source intensity of the construction area, thereby simplifying the complexity of the calculation.

[0035] In some embodiments, determining the dust source intensity of 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 includes: Integrating the dust concentration at each target location within a preset time period to obtain a target dust volume corresponding to the target location; When the target position is within the radiation range of the dust suppression device, adjusting the target dust amount corresponding to the target position according to the dust suppression intensity of the dust suppression device; The sum of the target dust amounts at each target position is taken as the total dust amount in the construction area, and the dust source intensity corresponding to the construction area is determined according to the total dust amount.

[0036] For example, the dust concentration at each target location in the spatial dust model is integrated over a preset time period to obtain the target dust volume at the target location over the preset time period. The preset time period can be set according to actual needs, for example, 1 hour, and is not limited here.

[0037] For example, construction areas are usually equipped with dust suppression devices. It is understandable that the dust suppression devices can cause a portion of the floating dust to settle, so that it remains in the construction area and does not spread into the atmosphere of the surrounding areas. Therefore, when considering the intensity of the dust source of the construction area as a pollution source, this part of the dust needs to be subtracted.

[0038] For example, the target dust amount at each target location is added together to obtain the total dust amount. It is understandable that the dust amount monitored by the IoT sensor is usually only a part of the dust generated in the construction area, while the dust source intensity describes all the dust generated in the construction area within a certain period of time. Therefore, based on the total amount of dust detected, the dust source intensity corresponding to the construction area can be estimated. For example, there can be a certain mapping relationship between the total amount of dust and the dust source intensity, for example, the total amount of dust is 60% of the dust source intensity. Of course, this is not limited to this. The size of the dust source intensity can also be predicted based on the total amount of dust through a deep learning model, which is not limited here.

[0039] In some embodiments, when the target position is within the radiation range of the dust suppression device, adjusting the target dust amount corresponding to the target position according to the dust suppression intensity of the dust suppression device includes: determining a dust suppression intensity of the dust suppression device according to a target distance between the target position and the dust suppression device, wherein the dust suppression intensity is negatively correlated with the target distance; A target dust amount corresponding to the target position is reduced according to the dust reduction intensity, wherein the target dust amount is negatively correlated with the dust reduction intensity.

[0040] For example, the dust suppression device can be a spray device. It is understood that the dust suppression intensity of the dust suppression device depends on the distance between the target location and the dust suppression device. The farther the target location is from the spray device, the lower the dust suppression intensity. Therefore, the dust suppression intensity is negatively correlated with the target distance.

[0041] Moreover, the dust suppression device can reduce the target dust amount corresponding to the target position. The greater the dust suppression 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 suppression intensity.

[0042] Illustratively, the target dust emission amount is reduced and adjusted by the method provided in the embodiment of the present application, thereby improving the accuracy of the subsequent calculation of the dust source intensity.

[0043] Step S104: determining the dust concentration of each surrounding area of ​​the construction area according to the dust source intensity.

[0044] For example, after the dust source intensity is calculated in step S103, the diffusion of the dust source intensity can be simulated to determine the dust concentration in each surrounding area.

[0045] In some embodiments, before determining the dust concentration in the area surrounding the construction area according to the dust intensity, the method further includes: Determine an area at a preset distance from the edge of the construction area as a construction impact area; Obtaining a satellite map of the area surrounding the construction site, and determining the building density of the construction-affected area based on the satellite map; The construction-affected area is divided into a preset number of sector-shaped areas according to the building density to obtain the peripheral areas.

[0046] For example, the traditional dust diffusion model calculates the dust concentration for each position (x, y, z) in space separately, resulting in a huge amount of calculation. The method provided in the embodiment of the present application reduces the amount of calculation of the dust concentration by dividing the area around the construction area into multiple fan-shaped peripheral areas.

[0047] Exemplarily, an area at a preset distance from the edge of the construction area is determined as the construction impact area, thereby obtaining a circular construction impact area outside the construction area, and the construction impact area is divided into multiple fan-shaped peripheral areas of different sizes according to the building density of the construction impact area.

[0048] Exemplarily, the number of peripheral areas may be 36, for example, and the product of the building density and the area of ​​each peripheral area is substantially equal.

[0049] In some embodiments, determining the dust concentration of each surrounding area of ​​the construction area according to the dust source intensity includes: The dust concentration in the surrounding area is determined according to the following formula: ; in, Indicates the surrounding area The dust concentration at time t is represents the lateral diffusion parameter, represents the vertical diffusion parameter, z represents the vertical height, u represents the wind speed, and Q represents the dust source intensity.

[0050] For example, The angle of the central axis of the sector corresponding to the surrounding area is used to estimate the amount of dust in each surrounding area using the above formula, thereby determining the severity of the impact of dust on each surrounding area.

[0051] Among them, z is a pre-set vertical height, which can be the height of the highest building in the surrounding area; u represents the wind speed, which can be obtained from the meteorological center or monitored in real time by an anemometer. Represents the lateral diffusion parameter, which is used to describe the lateral diffusion degree of dust. Represents the vertical diffusion parameter, which is used to describe the degree of dust diffusion in the vertical direction. , calculate.

[0052] In some embodiments, the method comprises: Determining the atmospheric stability level corresponding to the construction area based on the sunshine intensity and wind speed of the construction area; The coefficients and exponents corresponding to the lateral diffusion parameter and the vertical diffusion parameter are determined according to the atmospheric stability level.

[0053] For example, the lateral and vertical diffusion parameters are related to atmospheric stability, which in turn is related to the weather in the construction area, specifically, sunshine intensity and wind speed. Therefore, a pre-set relationship between sunshine intensity, wind speed, and atmospheric stability levels can be used to determine atmospheric stability levels corresponding to different ranges of sunshine intensity and wind speed. Atmospheric stability levels can be A, B, C, D, and so on.

[0054] For example, different atmospheric stability levels correspond to different coefficients and exponents of lateral diffusion parameters and longitudinal diffusion parameters, that is, different a, b, c, and d. For example, when the atmospheric stability level is A, a=0.22, b=0.78, c=0.20, and d=0.78; when the atmospheric stability level is B, a=0.16, b=0.74, c=0.12, and d=0.73...which will not be elaborated here.

[0055] Step S105: Control the drone to go to at least one of the surrounding areas to collect dust information according to the dust concentration of each of the surrounding areas.

[0056] For example, after calculating the dust concentration of each surrounding area in step S104, the surrounding area with the highest dust concentration is determined as the location where the drone needs to go first. Of course, this is not limited to this. Multiple surrounding areas can also be determined in sequence and the drone can be controlled to go there in sequence.

[0057] In some embodiments, the drone further includes a water tank, and controlling the drone to go to at least one of the surrounding areas to collect dust information according to the dust concentration of each of the surrounding areas includes: When the UAV detects that the dust information is greater than a warning threshold, a dust reduction operation is performed using the liquid carried in the water tank.

[0058] For example, a drone could carry liquid and spray it around the area to reduce dust. Since the amount of liquid a tank can carry is limited, the spray rate can be determined based on 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 spray rate, ensuring efficient use of the liquid.

[0059] The smart construction site data collection method based on BIM and the Internet of Things provided in the above embodiment obtains dust information collected by the Internet of Things sensors in the construction area, the dust information including the collection location and dust concentration; obtains the BIM model of the construction area, and determines the target location of the dust concentration in the BIM model based on the collection location, thereby obtaining a spatial dust model corresponding to the construction area; determines the dust source intensity of the construction area based on the dust concentration at each target location in the spatial dust model and the position of the dust reduction device; determines the dust concentration of each surrounding area of ​​the construction area based on the dust source intensity; and controls the drone to go to at least one of the surrounding areas to collect dust information based on the dust concentration of each surrounding area. Since the dust source intensity is calculated through the dust spatial model and the dust concentration of each surrounding area is simulated based on the dust source intensity, the drone can go to a clear surrounding area to collect dust information, thereby improving the pertinence and efficiency of the drone operation.

[0060] See also Figure 2 , Figure 2 This is a schematic diagram of a smart construction site data collection device based on BIM and the Internet of Things provided in one embodiment of the present application. The smart construction site data collection device based on BIM and the Internet of Things can be configured in a server or terminal to execute the aforementioned smart construction site data collection method based on BIM and the Internet of Things.

[0061] like Figure 2 As shown, the smart construction site data acquisition device based on BIM and the Internet of Things includes: a data acquisition module 110, a model building module 120, an intensity calculation module 130, a concentration calculation module 140, and a drone control module 150.

[0062] The data acquisition module 110 is used to obtain dust information collected by IoT sensors in the construction area, wherein the dust information includes the collection location and dust concentration; The model building module 120 is configured to obtain a BIM model of the construction area, determine a target position of the dust concentration in the BIM model according to the collection position, and obtain a spatial dust model corresponding to the construction area; an intensity calculation module 130 for determining the dust source intensity of 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; A concentration calculation module 140 is used to determine the dust concentration of each surrounding area of ​​the construction area according to the dust source intensity; The drone control module 150 is configured to control the drone to go to at least one of the surrounding areas to collect dust information according to the dust concentration in each of the surrounding areas.

[0063] For example, the above method and apparatus may be implemented in the form of a computer program. The computer program may be implemented in the form of a computer program. Figure 3 Runs on the computer device shown.

[0064] See also Figure 3 , Figure 3 This is a schematic block diagram of the structure of a computer device provided in an embodiment of the present application. The computer device can be a server or a terminal.

[0065] 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 an internal memory.

[0066] The storage medium can store an operating system and a computer program. The computer program includes program instructions, which, when executed, can cause the processor to execute any one of the smart construction site data collection methods based on BIM and the Internet of Things.

[0067] The processor is used to provide computing and control capabilities and support the operation of the entire computer equipment.

[0068] The internal memory provides an environment for the operation of the computer program in the storage medium. When the computer program is executed by the processor, the processor can execute any smart construction site data collection method based on BIM and the Internet of Things.

[0069] The network interface is used for network communication, such as sending assigned tasks, etc. Those skilled in the art will understand that Figure 3 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0070] It should be understood that the processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc.

[0071] In one embodiment, the processor is configured to execute a computer program stored in the memory to implement the following steps: Obtain dust information collected by IoT sensors in the construction area, the dust information including the collection location and dust concentration; 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; Determine the dust source intensity 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; Determining the dust concentration in each surrounding area of ​​the construction area according to the dust source intensity; According to the dust concentration in each of the surrounding areas, the drone is controlled to go to at least one of the surrounding areas to collect dust information.

[0072] In one embodiment, when determining the dust source intensity of 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, the processor is configured to implement: Integrating the dust concentration at each target location within a preset time period to obtain a target dust volume corresponding to the target location; When the target position is within the radiation range of the dust suppression device, adjusting the target dust amount corresponding to the target position according to the dust suppression intensity of the dust suppression device; The sum of the target dust amounts at each target position is taken as the total dust amount in the construction area, and the dust source intensity corresponding to the construction area is determined according to the total dust amount.

[0073] In one embodiment, when the processor adjusts the target dust amount corresponding to the target position according to the dust reduction intensity of the dust reduction device when the target position is within the radiation range of the dust reduction device, it is configured to: determining a dust suppression intensity of the dust suppression device according to a target distance between the target position and the dust suppression device, wherein the dust suppression intensity is negatively correlated with the target distance; A target dust amount corresponding to the target position is reduced according to the dust reduction intensity, wherein the target dust amount is negatively correlated with the dust reduction intensity.

[0074] In one embodiment, before determining the dust concentration in the area surrounding the construction area according to the dust intensity, the processor is configured to: Determine an area at a preset distance from the edge of the construction area as a construction impact area; Obtaining a satellite map of the area surrounding the construction site, and determining the building density of the construction-affected area based on the satellite map; The construction-affected area is divided into a preset number of sector-shaped areas according to the building density to obtain the peripheral areas.

[0075] In one embodiment, when determining the dust concentration of each surrounding area of ​​the construction area according to the dust source intensity, the processor is configured to implement: The dust concentration in the surrounding area is determined according to the following formula: ; in, Indicates the surrounding area The dust concentration at time t is represents the lateral diffusion parameter, represents the vertical diffusion parameter, z represents the vertical height, u represents the wind speed, and Q represents the dust source intensity.

[0076] In one embodiment, when implementing the smart construction site data collection method based on BIM and the Internet of Things, the processor is used to implement: Determining the atmospheric stability level corresponding to the construction area based on the sunshine intensity and wind speed of the construction area; The coefficients and exponents corresponding to the lateral diffusion parameter and the vertical diffusion parameter are determined according to the atmospheric stability level.

[0077] In one embodiment, when the processor implements the acquisition of the construction site BIM model and determines the target position of the dust concentration in the BIM model according to the collection position, and obtains the spatial dust model corresponding to the construction area, it is configured to implement: Associating the dust concentration with a target location in the BIM model based on the location of the collection location in the BIM model; When the target location is in a closed state in the BIM model, the dust concentration corresponding to the target location is removed from the BIM model to obtain a spatial dust model corresponding to the construction area.

[0078] In one embodiment, when controlling the drone to go to at least one of the surrounding areas to collect dust information based on the dust concentration of each of the surrounding areas, the processor is configured to: When the UAV detects that the dust information is greater than a warning threshold, a dust reduction operation is performed using the liquid carried in the water tank.

[0079] It should be noted that technical personnel in the relevant field can clearly understand that for the convenience and conciseness of description, the specific working process of the above-mentioned smart construction site data collection method based on BIM and the Internet of Things can refer to the corresponding process in the aforementioned embodiment of the smart construction site data collection and control method based on BIM and the Internet of Things, and will not be repeated here.

[0080] An embodiment of the present application also provides a computer-readable storage medium, on which a computer program is stored. The computer program includes program instructions. The method implemented when the program instructions are executed can refer to the various embodiments of the smart construction site data collection method based on BIM and the Internet of Things in the present application.

[0081] The computer-readable storage medium may be an internal storage unit of the computer device described in the aforementioned embodiment, such as a hard disk or memory of the computer device. The computer-readable storage medium may also be an external storage device of the computer device, such as a plug-in hard disk, a SmartMedia Card (SMC), a Secure Digital (SD) card, a flash memory card, etc., equipped on the computer device.

[0082] It should be understood that the terms used in this specification are only for the purpose of describing specific embodiments and are not intended to limit the present application. As used in this specification and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms unless the context clearly indicates otherwise.

[0083] It should also be understood that the term "and / or" used in this specification and the appended claims refers to any combination of one or more of the associated listed items and all possible combinations, including these combinations. It should be noted that, in this article, the terms "include", "comprise" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system that includes a series of elements includes not only those elements, but also other elements that are not explicitly listed, or also includes elements that are inherent to such process, method, article or system. In the absence of further limitations, an element defined by the sentence "including a..." does not exclude the presence of other identical elements in the process, method, article or system that includes the element.

[0084] The serial numbers of the embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments. The above description is only a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in this application, and these modifications or replacements should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. A method for collecting data on smart construction sites based on BIM and the Internet of Things, characterized in that: The method comprises: Obtain dust information collected by IoT sensors in the construction area, the dust information including the collection location and dust concentration; 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; Determine the dust source intensity 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; Determining the dust concentration in each surrounding area of ​​the construction area according to the dust source intensity; According to the dust concentration in each of the surrounding areas, the drone is controlled to go to at least one of the surrounding areas to collect dust information.

2. The method for collecting data on a smart construction site based on BIM and the Internet of Things according to claim 1, characterized in that: Determining the dust source intensity of the construction area according to the dust concentration at each target location in the spatial dust model and the location of the dust suppression device includes: Integrating the dust concentration at each target location within a preset time period to obtain a target dust volume corresponding to the target location; When the target position is within the radiation range of the dust suppression device, adjusting the target dust amount corresponding to the target position according to the dust suppression intensity of the dust suppression device; The sum of the target dust amounts at each target position is taken as the total dust amount in the construction area, and the dust source intensity corresponding to the construction area is determined according to the total dust amount.

3. The method for collecting data on a smart construction site based on BIM and the Internet of Things according to claim 2, characterized in that: When the target position is within the radiation range of the dust suppression device, adjusting the target dust amount corresponding to the target position according to the dust suppression intensity of the dust suppression device includes: determining a dust suppression intensity of the dust suppression device according to a target distance between the target position and the dust suppression device, wherein the dust suppression intensity is negatively correlated with the target distance; A target dust amount corresponding to the target position is reduced according to the dust reduction intensity, wherein the target dust amount is negatively correlated with the dust reduction intensity.

4. The method for collecting data on a smart construction site based on BIM and the Internet of Things according to claim 1, characterized in that: Before determining the dust concentration in the area surrounding the construction area according to the dust intensity, the method further includes: Determine an area at a preset distance from the edge of the construction area as a construction impact area; Obtaining a satellite map of the area surrounding the construction site, and determining the building density of the construction-affected area based on the satellite map; The construction-affected area is divided into a preset number of sector-shaped areas according to the building density to obtain the peripheral areas.

5. The method for collecting data on a smart construction site based on BIM and the Internet of Things according to claim 1, characterized in that: Determining the dust concentration in each surrounding area of ​​the construction area according to the dust source intensity includes: The dust concentration in the surrounding area is determined according to the following formula: ; in, Indicates the surrounding area The dust concentration at time t is represents the lateral diffusion parameter, represents the vertical diffusion parameter, z represents the vertical height, u represents the wind speed, and Q represents the dust source intensity.

6. The method for collecting data on a smart construction site based on BIM and the Internet of Things according to claim 5, characterized in that: The method comprises: Determining the atmospheric stability level corresponding to the construction area based on the sunshine intensity and wind speed of the construction area; The coefficients and exponents corresponding to the lateral diffusion parameter and the vertical diffusion parameter are determined according to the atmospheric stability level.

7. The method for collecting smart construction site data based on BIM and the Internet of Things according to claim 1, characterized in that: The obtaining of the construction site BIM model and determining the 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 include: Associating the dust concentration with a target location in the BIM model based on the location of the collection location in the BIM model; When the target location is in a closed state in the BIM model, the dust concentration corresponding to the target location is removed from the BIM model to obtain a spatial dust model corresponding to the construction area.

8. The method for collecting data on a smart construction site based on BIM and the Internet of Things according to claim 1, characterized in that: The drone further includes a water tank, and controlling the drone to go to at least one of the surrounding areas to collect dust information according to the dust concentration of each of the surrounding areas includes: When the UAV detects that the dust information is greater than a warning threshold, a dust reduction operation is performed using the liquid carried in the water tank.

9. A smart construction site data acquisition device based on BIM and the Internet of Things, characterized in that: The smart construction site data acquisition device based on BIM and the Internet of Things includes: A data acquisition module is used to obtain dust information collected by IoT sensors in the construction area, wherein the dust information includes the collection location and dust concentration; A model building module is used to obtain a BIM model of the construction area, and determine the 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; An intensity calculation module is used to determine the dust source intensity of 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; A concentration calculation module, configured to determine the dust concentration in each surrounding area of ​​the construction area according to the intensity of the dust source; The drone control module is used to control the drone to go to at least one of the surrounding areas to collect dust information according to the dust concentration of each of the surrounding areas.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, wherein when the computer program is executed by the processor, the steps of the smart construction site data collection method based on BIM and the Internet of Things are implemented as described in any one of claims 1 to 7.

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