A BIM-based engineering supervision method, system and intelligent terminal

Abstract

The application relates to a BIM-based engineering supervision method and system and an intelligent terminal, and relates to the field of engineering management, which comprises the following steps: calling a high-altitude operation task list from a preset BIM model; determining a high-altitude operation site according to the BIM model and the high-altitude operation task list; connecting all the high-altitude operation sites to obtain an inspection path; controlling a preset inspection device to perform inspection along the inspection path, and acquiring a high-altitude operation site image and a ground wave coverage range image of the ground under the high-altitude operation site; determining whether there are construction personnel according to the ground wave coverage range image; based on the existence of the construction personnel, detecting the standard wearing of the construction personnel by a preset wearing detection method, and determining whether there are objects about to fall in the high-altitude operation site according to the high-altitude operation site image; and if there are objects about to fall, intercepting the falling objects in the high-altitude operation site by a preset falling object interception method. The application has the effect of improving the response and processing efficiency of engineering supervision.

Description

Technical Field

[0001] This invention relates to the field of engineering management, and in particular to a BIM-based engineering supervision method, system, and intelligent terminal. Background Technology

[0002] Construction supervision usually refers to the professional service activities in which a qualified supervision unit, entrusted by the construction unit, supervises and manages the construction activities of the construction unit. Its core objective is to ensure that the quality, safety, progress and cost of the project meet the contractual agreement and legal requirements.

[0003] Safety is a crucial aspect of engineering supervision. Currently, when supervising engineering safety, the supervising unit typically assigns dedicated safety inspectors to patrol the construction site. However, these inspectors often lack a clear objective, frequently patrolling back and forth within the site. Furthermore, manual inspections have limited capacity to detect safety hazards, and problems are usually addressed only after they occur, resulting in slow response and inefficiency. Summary of the Invention

[0004] To improve the response and processing efficiency of engineering supervision, this invention provides a BIM-based engineering supervision method, system, and intelligent terminal.

[0005] Firstly, the present invention provides a BIM-based engineering supervision method, which adopts the following technical solution:

[0006] A BIM-based engineering supervision method includes:

[0007] Retrieve the high-altitude operation task order from the preset BIM model;

[0008] Determine the location of high-altitude operations based on the BIM model and the high-altitude operation task list;

[0009] The inspection path is obtained by connecting all the high-altitude work locations in a series.

[0010] The system controls a pre-set inspection device to perform inspections along the inspection path and acquires images of the high-altitude work site and the ground wave range below the high-altitude work site.

[0011] Determine the presence of construction workers based on ground-based images of the affected area;

[0012] Based on the presence of construction workers, the pre-set wearing detection method is used to detect the standardized wearing of the construction workers, and the presence of objects about to fall at the high-altitude work site is determined based on the high-altitude work site images.

[0013] If there is an object about to fall, the falling object at the high-altitude work site will be intercepted using a preset falling object interception method.

[0014] By adopting the above technical solution and utilizing BIM models, the system analyzes the BIM models to identify all potentially hazardous high-altitude work locations. Inspection devices are then dispatched to inspect all high-altitude work locations along a defined path. During the inspection, images are taken of the high-altitude work locations and the ground below to identify any potential falling objects and to mitigate risks in a timely manner. Furthermore, the system checks the protective gear worn by construction workers on the ground to ensure proper attire. This entire process is automated, allowing for rapid problem detection and timely response, resulting in high efficiency.

[0015] Optional wearable detection methods include:

[0016] Determine whether construction workers are wearing safety helmets based on ground wave impact images and pre-defined safety helmet features;

[0017] When construction workers are not wearing safety helmets, the system scans them and matches them against a pre-set personnel database to determine their identity.

[0018] Retrieve the head circumference information of construction workers based on their identification information;

[0019] Match the helmet size according to head circumference information;

[0020] The safety helmet, pre-installed in the inspection device according to the helmet specifications, will be deployed and a wearing reminder will be issued.

[0021] When construction workers put on their safety helmets, the system prompts them to shake their heads, captures an image of the helmet's surface, and determines whether the helmet has fallen off.

[0022] Based on the fact that the helmet did not fall off, determine whether there is a crack in the helmet according to the surface image of the helmet and the preset reference helmet;

[0023] When a safety helmet has a crack, the inspection device is controlled to repair the safety helmet according to the preset safety helmet damage repair method.

[0024] Optional methods for repairing damaged safety helmets include:

[0025] Retrieve the height information of construction workers based on their identification information;

[0026] Match the height setting of the canopy preset in the inspection device according to the height information;

[0027] Control the canopy to unfold and rise according to the height level of the canopy obtained by matching, and prompt the construction workers to stand under the canopy and put their safety helmets into the inspection device;

[0028] The location and path of cracks on the outer surface of the safety helmet are determined based on the surface image of the safety helmet and the preset crack features.

[0029] The crack location at one end of the crack path is used as the initial immersion position of the safety helmet, and the crack path is used as the rotation adjustment path of the safety helmet.

[0030] With the helmet opening facing upwards, immerse it into the molten plastic at a preset immersion depth from the initial immersion position to allow the molten plastic to penetrate the crack features. Control the helmet to rotate using a rotation adjustment path and obtain an image of the helmet's interior from the helmet opening.

[0031] Determine whether molten plastic is seeping out from cracks inside the helmet based on images of the helmet's interior;

[0032] When molten plastic seeps out from the cracks inside the helmet, the preset brushing device is controlled to brush the molten plastic along the crack path inside the helmet.

[0033] Remove the safety helmet from the molten plastic and remove it from the inspection device after the preset drying time.

[0034] Optionally, a drone unit is mounted on top of the inspection device, and the drone unit synchronously tows an interception net; the methods for intercepting falling objects include:

[0035] Determine the location, material, and volume of the falling object based on images of the high-altitude work site;

[0036] The weight of the falling object is determined by matching its volume, material, and a preset material database.

[0037] Determine the ground clearance based on the location of the falling object and the BIM model;

[0038] The estimated impact force upon landing is determined based on the weight of the falling object and its height above the ground.

[0039] Based on the estimated landing impact force not exceeding the preset interception impact force, it is defined as interceptable, and the total interception power of the drone group is matched according to the estimated landing impact force;

[0040] The drone group is controlled to pull the interception net based on the total interception power, and the falling object is intercepted below the location of the falling object.

[0041] Optionally, when falling objects cannot be intercepted, the following methods may be used:

[0042] Based on the estimated impact force being greater than the interception force, it is defined as uninterceptable. According to the BIM model and the high-altitude work location, it is determined whether there is a floor with empty windows below the high-altitude work location. A floor with empty windows is a floor without windows that can be accessed.

[0043] When there are empty floors, determine the height and orientation of the empty floors based on the BIM model and the empty floors.

[0044] The buffer interception height is determined based on the floor height of the empty window and the preset buffer height;

[0045] The drone team is controlled to intercept the falling object at a buffer interception height, and during the interception, the drone team is controlled to tilt the interception net toward the empty window floor to guide the falling object to the empty window floor.

[0046] Optional, also includes:

[0047] When there are no floors with empty windows, the diameter of the ground construction area is determined based on the ground wave range image;

[0048] Match the lateral movement distance of the drone group according to the diameter of the construction area;

[0049] The minimum interception altitude of the drone group is matched based on the lateral movement distance and preset lateral movement speed of the drone group;

[0050] Determine the location of open areas outside the diameter of the ground construction area based on the ground sweep area image;

[0051] Control the drone group to intercept the falling object at the lowest interception altitude. During the interception, control the drone group to move laterally towards an open area and tilt the interception net towards an open area to guide the falling object to an open area outside the diameter of the ground construction area.

[0052] Optionally, the drone group needs to be controlled during the interception of falling objects. The drone group control methods include:

[0053] The depth of the subsidence deformation of the interception net is matched according to the interception impact force;

[0054] The lateral convergence distance of the UAV group towards the center when it is impacted is determined based on the depth of the depression deformation.

[0055] The minimum radius of the interception net is matched based on the lateral convergence distance;

[0056] The number of drones to be intercepted is determined based on the total interception power and the preset rated power of each drone.

[0057] The drones, which control the number of interceptors, pull the interception net with the smallest radius. The drones are evenly distributed around the interception net and controlled by rated power to intercept the falling object below its location.

[0058] Optionally, the formula for calculating the total interception power of the drone group is:

[0059] P=ρVgh / (η*Δt;

[0060] Where P is the total interception power of the drone group, ρ is the density of the falling object, V is the volume of the falling object, g is the gravitational acceleration, h is the falling height, η is the efficiency factor, and Δt is the interception time.

[0061] Secondly, this application provides a BIM-based engineering supervision method system, which adopts the following technical solution:

[0062] A BIM-based engineering supervision method system includes:

[0063] The acquisition module is used to acquire images of the high-altitude work site, the ground wave range, the surface of the safety helmet, and the interior of the safety helmet.

[0064] A memory for storing the program of any of the above-mentioned BIM-based engineering supervision methods;

[0065] The processor can load and execute programs in memory to implement a BIM-based engineering supervision method.

[0066] Thirdly, this application provides a smart terminal, which adopts the following technical solution:

[0067] A smart terminal includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executed any of the above-mentioned BIM-based engineering supervision methods.

[0068] In summary, this application includes at least one of the following beneficial technical effects:

[0069] Using BIM models, the system analyzes the BIM models to identify all potentially hazardous high-altitude work locations and dispatches inspection devices to inspect all high-altitude work locations along a specific route. During the inspection, the system takes pictures of the high-altitude work locations and the ground below to identify any potential falling objects and take timely measures to avoid risks. The system also checks the clothing worn by construction workers on the ground to ensure that they are properly dressed. The above process is automated, and the system can detect problems and respond and handle them in a timely manner with a fast response speed and high processing efficiency.

[0070] By inspecting the safety helmets of construction workers for cracks, when a crack is found, the workers are instructed to remove their helmets while standing under the canopy of the inspection device to avoid the danger of falling objects from heights. When repairing the cracks in the safety helmets, the cracked area is immersed in molten plastic, allowing the molten plastic to seep into the crack. Once the molten plastic is visible from the inside of the helmet, it is removed and smoothed out using a brushing device, thus quickly repairing the safety helmets with high efficiency.

[0071] When an object falls, a drone unit pre-installed on top of the inspection device intercepts it. If the object cannot be intercepted, the system analyzes images of the high-altitude work site and the surrounding ground to determine an empty floor or open space that can be used to guide the falling object. The drone then tilts the interception net so that the falling object can slide along the net to the empty floor or open space, ensuring safety within the ground construction area. Attached Figure Description

[0072] Figure 1 This is a flowchart of a BIM-based engineering supervision method according to an embodiment of the present invention;

[0073] Figure 2 This is a flowchart of the wearable detection method according to an embodiment of the present invention;

[0074] Figure 3 This is a flowchart of the helmet repair method according to an embodiment of the present invention;

[0075] Figure 4 This is a flowchart of the falling object interception method according to an embodiment of the present invention;

[0076] Figure 5 This is a method flow diagram of the method for handling falling objects that cannot be intercepted according to an embodiment of the present invention. Figure 1 ;

[0077] Figure 6 This is a method flow diagram of the method for handling falling objects that cannot be intercepted according to an embodiment of the present invention. Figure 2 ;

[0078] Figure 7 This is a flowchart of the unmanned aerial vehicle (UAV) group control method according to an embodiment of the present invention. Detailed Implementation

[0079] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0080] This application discloses a BIM-based engineering supervision method. By identifying and processing the clothing of construction workers, it ensures that construction workers are not easily injured during construction. By performing image recognition on the high-altitude work site and the ground area below it, it determines whether there are any objects that may fall. When an object falls, it is intercepted by a drone team to ensure that ground construction workers are not easily injured by falling objects.

[0081] Reference Figure 1 A BIM-based engineering supervision method includes the following steps:

[0082] Step S100: Retrieve the high-altitude operation task order from the preset BIM model.

[0083] A BIM model is an engineering model that technicians create in advance based on the engineering plan before the project is implemented. It includes a three-dimensional model of the project and various information and data related to the project, which will not be elaborated here.

[0084] A high-altitude work order refers to a list of tasks that require high-altitude operations in an engineering project.

[0085] The BIM model contains high-altitude work orders, which can be retrieved directly from the BIM model.

[0086] Step S101: Determine the location of the high-altitude operation based on the BIM model and the high-altitude operation task order.

[0087] High-altitude work locations refer to the positions where construction workers perform high-altitude operations within an engineering project. The high-altitude work task sheet records a description of the high-altitude work location. By matching the high-altitude work task sheet with the BIM model, the location recorded on the task sheet can be specifically determined within the BIM model.

[0088] Step S102: Connect all high-altitude work locations in series to obtain the inspection path.

[0089] The inspection path refers to the movement route of the inspection device when it inspects all high-altitude work locations.

[0090] There are multiple locations for high-altitude operations, and all of them present engineering safety issues. Therefore, after identifying all high-altitude operation locations from the BIM model using the high-altitude operation task list, these locations are connected in series to obtain a route for efficient inspection by the inspection equipment.

[0091] Step S103: Control the preset inspection device to perform inspections along the inspection path and acquire images of the high-altitude work point and the ground wave range image below the high-altitude work point.

[0092] The inspection device is used to inspect safety issues at construction sites for engineering projects. The device is mobile on the ground and carries a drone that can inspect high-altitude work areas. The inspection device and drone move synchronously for inspections, and both are equipped with cameras.

[0093] High-altitude work site images refer to images captured by cameras at the high-altitude work location. Ground-level impact area images refer to images captured by cameras at the ground level below the high-altitude work site. When the inspection device performs an inspection, it can simultaneously capture images of the high-altitude work site and the ground below it.

[0094] Step S104: Determine whether construction personnel are present based on the ground wave range image.

[0095] The construction workers referred to here are those working on the ground below the high-altitude work site. By matching and identifying personnel features from ground-based images of the affected area, the presence of construction workers can be determined. Different processing measures are taken depending on whether construction workers are present.

[0096] Step S105: Based on the presence of construction personnel, use a preset wearing detection method to detect the standardized wearing of the construction personnel, and determine whether there are any objects about to fall at the high-altitude work site based on the high-altitude work site image.

[0097] If there are no construction workers, it means that the high-altitude work site is less dangerous and even if an object falls, it is unlikely to injure people. At this time, the inspection device continues to inspect the next high-altitude work site.

[0098] If construction workers are present, they are at a certain risk as they are positioned on the ground below the high-altitude work site. The system will detect the workers' equipment to ensure it is undamaged. The wearable devices are detected using a wear detection method, which will not be detailed here but will be described in detail in subsequent embodiments.

[0099] After the system completes the detection of the construction workers' attire, it then detects the high-altitude work site above the workers. By identifying objects about to fall from the high-altitude work site image, it determines whether there are any falling objects and can handle them in a timely manner.

[0100] An object that is about to fall refers to an object that may fall at any time.

[0101] Step S106: If there is an object about to fall, intercept the falling object at the high-altitude work site using a preset falling object interception method.

[0102] If there are no objects about to fall at the high-altitude work site, it means that the ground below is relatively safe for the time being, and the construction workers still need to wear their equipment properly.

[0103] If there are objects about to fall at the high-altitude work site, the system uses a falling object interception method to prevent the falling objects from hitting the construction workers. The falling object interception method will not be described in detail here, but will be introduced in detail in subsequent embodiments.

[0104] Reference Figure 2 The wearable detection method includes the following steps:

[0105] Step S200: Determine whether construction workers are wearing safety helmets based on the ground wave range image and the preset safety helmet features.

[0106] In this embodiment, the equipment worn by construction workers mainly refers to safety helmets. The system needs to detect whether the surface of the safety helmet is cracked and how tightly the construction workers wear the safety helmet.

[0107] By performing image recognition on the features of safety helmets in ground-spot images, if the head of a person in the ground-spot image has the features of a safety helmet, it indicates that the construction worker is wearing a safety helmet; otherwise, it does not.

[0108] Step S201: When construction workers are not wearing safety helmets, scan the construction workers and match them with the preset personnel database to determine the personnel identity information of the construction workers.

[0109] If the image identifies that a construction worker is not wearing a safety helmet, the inspection device will move to the worker's side, scan the worker using its camera, and match the scan results with personnel data in the personnel database to determine the worker's identity information.

[0110] Step S2011: Retrieve the head circumference information of the construction workers based on their identity information.

[0111] Head circumference refers to the perimeter of a person's head. All construction workers undergo body measurements upon joining the company, and these measurements are recorded in their personnel identification information. Therefore, when identifying a construction worker, their head circumference information can be directly retrieved.

[0112] Step S2012: Match the safety helmet specifications according to the head circumference information.

[0113] Whether a safety helmet can be worn securely depends on head circumference. Therefore, when refitting safety helmets for construction workers, it is necessary to first determine the head circumference information of the workers.

[0114] Helmet specifications refer to the internal dimensions of the helmet. These specifications must be matched to head circumference information. Helmets come in multiple specifications; once the head circumference is determined, a helmet matching the specified specifications is selected from these options. The helmet specification must be greater than or equal to the head circumference, and as close as possible to the head circumference.

[0115] Step S2013: Push out the safety helmet that is pre-installed in the inspection device according to the safety helmet specifications and issue a wearing reminder.

[0116] In this embodiment, the inspection device has a chamber for storing safety helmets, which contains safety helmets of various specifications. Once the specifications of the safety helmet are determined, the system can push out the safety helmet that meets the specifications from the chamber of the inspection device, and the inspection device will issue a reminder to the construction personnel to wear safety helmets.

[0117] Step S202: When the construction worker is wearing a safety helmet, a head shake prompt is given to the construction worker, an image of the surface of the safety helmet is obtained, and it is determined whether the safety helmet has fallen off.

[0118] The surface image of a safety helmet refers to an image of the surface of a safety helmet obtained by taking a picture of the safety helmet on the head of a construction worker using a camera on an inspection device.

[0119] If the system identifies from the image that the construction worker is wearing a safety helmet, it will issue a prompt via the inspection device, instructing the worker to perform a head-shaking test. During the test, the system will capture an image of the helmet's surface. Furthermore, the camera will monitor the helmet's movement during the test to ensure it doesn't fall off.

[0120] Step S2021: Based on the fact that the helmet did not fall off, determine whether there is a crack in the helmet according to the surface image of the helmet and the preset benchmark helmet.

[0121] If the safety helmet falls off, it means that the construction worker is not wearing the safety helmet correctly, or that the safety helmet's tightening cord is not fully tightened, making the safety helmet easy to fall off. At this time, the inspection device will remind the construction worker to tighten the safety helmet.

[0122] If the helmet does not fall off during the head-shaking test, it means that the helmet is fastened tightly. At this point, check whether there are any cracks on the surface of the helmet, as cracks will affect the overall safety performance of the helmet.

[0123] The standard safety helmet refers to a safety helmet with a complete surface and no damage, which will not be elaborated here.

[0124] By comparing the surface image of the safety helmet with a reference safety helmet, any differences can be identified. If differences exist, it indicates the presence of a crack.

[0125] Step S2022: When the safety helmet has a crack, the inspection device is controlled to repair the safety helmet according to the preset safety helmet damage repair method.

[0126] If the helmet surface has no cracks, no repair is needed. If cracks exist, the system will repair the damaged helmet using an inspection device. The helmet repair method will not be detailed here but will be described in detail in subsequent embodiments.

[0127] Reference Figure 3 The repair method for a damaged safety helmet includes the following steps:

[0128] Step S300: Retrieve the height information of the construction workers based on their identity information.

[0129] The personnel identification information of construction workers includes their height information, which can be directly retrieved from the personnel identification information.

[0130] Step S301: Match the height setting of the canopy preset in the inspection device according to the height information.

[0131] When a crack is detected in a construction worker's safety helmet, the system requires the worker to remove the helmet for repair by the inspection device. After the helmet is removed, the worker's head is unprotected, posing a certain risk. In this embodiment, the inspection device is equipped with a canopy that can be rotated out and adjusted in height, allowing the worker to stand under the canopy after removing their helmet.

[0132] Because the canopy's height is adjustable, it has multiple height settings, and the canopy can be fixed at each setting. The selection of the appropriate height setting depends on the height of the construction worker standing below; the taller the worker, the higher the height setting.

[0133] Step S302: Control the canopy to unfold and rise according to the height setting of the canopy obtained by matching, and prompt the construction personnel to stand under the canopy and put the safety helmet into the inspection device.

[0134] After determining the height information of the construction worker through their personnel identification information, the system matches the height setting of the canopy based on the height information. Finally, the system controls the canopy on the inspection device to unfold and raise to the specified height setting based on the height setting. After completing the above steps, the system issues a prompt to the construction worker, instructing them to stand under the canopy and remove their safety helmet and place it in the inspection device.

[0135] Step S303: Determine the crack location and crack path of the crack features on the outer surface of the safety helmet based on the surface image of the safety helmet and the preset crack features.

[0136] Crack location refers to the actual position of the crack feature on the surface of the safety helmet. Crack path refers to the direction in which the crack feature extends on the surface of the safety helmet.

[0137] The location and path of the crack can be obtained from the image of the safety helmet surface by image recognition analysis of the crack features. The image recognition analysis method is existing technology and will not be described in detail here.

[0138] Step S304: Use the crack position at one end of the crack path as the starting immersion position of the safety helmet, and use the crack path as the rotation adjustment path of the safety helmet.

[0139] In this embodiment, the inspection device has a repair chamber containing molten plastic. When repairing cracks on the surface of a safety helmet, the area of ​​the helmet with the crack is immersed in the molten plastic, allowing the molten plastic to penetrate into the crack.

[0140] The initial immersion position refers to the point where the safety helmet begins to immerse itself in the molten plastic. The rotation adjustment path refers to the path along which the system rotates and adjusts the safety helmet so that each point on the crack path of the safety helmet can be sequentially immersed in the molten plastic.

[0141] In this embodiment, one end of the crack path is used as the initial immersion position of the safety helmet. When controlling the immersion of the safety helmet into the molten plastic, one end of the crack path is first immersed in the molten plastic. After one end of the crack path is immersed in the molten plastic, the safety helmet is rotated according to the rotation adjustment path, so that each position of the crack path can be immersed in the molten plastic in sequence.

[0142] Step S305: With the helmet opening facing upwards, immerse it into the molten plastic at a preset immersion depth from the initial immersion position to allow the molten plastic to penetrate the crack features. Control the helmet to rotate using the rotation adjustment path and obtain an image of the helmet's interior from the helmet opening.

[0143] The immersion depth is the depth to which the safety helmet is immersed in the molten plastic, as set by the technicians. The immersion depth is slightly greater than the thickness of the safety helmet, which will not be elaborated here.

[0144] When repairing a safety helmet, first position the helmet with the opening facing upwards, then immerse the helmet in molten plastic using the immersion depth control. At this point, the molten plastic can just penetrate into the interior of the helmet through the crack features, and the amount of penetration will not be excessive.

[0145] An internal image of a safety helmet refers to an image captured by a camera installed on an inspection device, showing the inside of the safety helmet.

[0146] Step S306: Determine whether molten plastic is seeping out from the crack features inside the safety helmet based on the internal image of the safety helmet.

[0147] By observing the crack features in the internal image of the safety helmet, if molten plastic is observed, it indicates that molten plastic has seeped into the interior of the safety helmet through the crack features; otherwise, it has not.

[0148] Step S307: When molten plastic seeps out from the cracks inside the safety helmet, control the preset brushing device to brush the molten plastic along the crack path inside the safety helmet.

[0149] If no molten plastic seeps out from the cracks inside the helmet, continue to rotate and adjust the helmet within the molten plastic until the molten plastic seeps into the helmet.

[0150] If molten plastic seeps out of the cracks inside the helmet, it means that the molten plastic has filled the cracks and seeped into the helmet.

[0151] A smoothing device is installed inside the inspection unit to smooth out molten plastic that has seeped into the safety helmet. The smoothing device can be a brush and is heat-resistant. When molten plastic seeps out from cracks inside the safety helmet, the system controls the smoothing device to smooth out the molten plastic along the crack path inside the safety helmet.

[0152] Step S308: Remove the safety helmet from the molten plastic and remove it from the inspection device after a preset drying time.

[0153] The drying time is the time set by the technicians for the safety helmet to cool the molten plastic in the crack after the crack repair is completed. The safety helmet is dried by the drying device, which will not be elaborated here.

[0154] After the safety helmet is filled with molten plastic, the system controls the helmet to be removed from the molten plastic, and then it is dried by a drying device. Once the helmet is dry, because the molten plastic has seeped into the crack and been smoothed on the inner surface of the helmet, the repair using the molten plastic is more secure.

[0155] Reference Figure 4 The method for intercepting falling objects includes the following steps:

[0156] In this embodiment, a drone group is installed on top of the inspection device. The drone group consists of multiple drones, and the number of drones can be selected and controlled according to system needs. Furthermore, an interception net is synchronously towed between the drone groups. When the drones take off, multiple drones pull the same interception net into the air, and the interception net can intercept falling objects.

[0157] Step S400: Determine the location, material, and volume of the falling object based on the image of the high-altitude work site.

[0158] The location of the falling object refers to its actual position at the high-altitude work site, and is also the starting point of its descent. The material of the falling object refers to its material composition. The volume of the falling object refers to its size.

[0159] The location, material, and volume of the falling object can all be determined by image recognition and analysis of the object about to fall from the high-altitude work site image, which will not be elaborated here.

[0160] Step S401: Determine the weight of the dropped object based on its volume, material, and a preset material database.

[0161] The material database includes density information for various materials and is an existing standard database, which will not be elaborated upon here.

[0162] By inputting the material of the falling object into the material database, the density information of the falling object can be matched, and then the weight of the falling object can be calculated using the volume and density of the falling object.

[0163] Step S402: Determine the height above the ground based on the location of the fallen object and the BIM model.

[0164] Ground clearance refers to the height of an object about to fall from the ground. Once the location of the falling object is determined, it is input into the BIM model, and the ground clearance can be calculated based on the 3D data of the BIM model.

[0165] Step S403: Determine the estimated impact force based on the weight of the falling object and its height above the ground.

[0166] The estimated impact force refers to the force of an object's impact on the ground at the moment of impact, calculated theoretically. The object's velocity upon impact can be calculated from its height above the ground, and this velocity, combined with the object's weight, allows for the calculation of the estimated impact force.

[0167] Step S404: Based on the estimated landing impact force not exceeding the preset interception impact force, it is defined as interceptable, and the total interception power of the UAV group is matched according to the estimated landing impact force.

[0168] Interception impact force refers to the maximum impact force of falling objects that can be intercepted by the drone team, as set by the technicians. The interception impact force is obtained by the technicians through actual test of the drone team in advance, and will not be elaborated here.

[0169] If the estimated impact force upon landing is greater than the interception impact force, the drone team may be unable to intercept the falling object. The method for handling the falling object will not be described in detail here, but will be introduced in detail in subsequent embodiments.

[0170] If the estimated impact force upon landing is not greater than the interception impact force, it means that the drone team can successfully intercept the falling object at any height during its descent.

[0171] Total interception power refers to the total power required by the drone group to intercept falling objects. It is the sum of the power of each drone. Total interception power is directly proportional to the estimated impact force; the greater the estimated impact force, the greater the total interception power. When the total interception power is determined by the estimated impact force and controlled by this total interception power, the drone group will be able to successfully intercept the falling object at any altitude during its descent.

[0172] Step S405: Control the UAV group to pull the interception net according to the total interception power, and intercept the falling object below the location of the falling object.

[0173] The falling object will begin to fall from its location, so the drone team needs to intercept it below that location. When the inspection device detects that the falling object has begun to fall, the system controls the drone team to fly out from the top of the inspection device and fly below the falling object's location. Then, it intercepts the object with its total interception power, at which point the object will fall onto the interception net towed by the drone team.

[0174] Reference Figure 5 When falling objects cannot be intercepted, the following steps are required:

[0175] Step S500: Based on the estimated impact force being greater than the interception impact force, it is defined as uninterceptable. According to the BIM model and the high-altitude work location, determine whether there is a floor with empty windows below the high-altitude work location. A floor with empty windows is a floor without windows that can be accessed.

[0176] When the system analysis determines that falling objects cannot be intercepted, it will analyze the image below the high-altitude work site to determine if there are any empty floors. In this embodiment, if the falling objects cannot be intercepted and there are empty floors, an attempt will be made to guide the falling objects to those floors using a drone team, so that the falling objects do not fall directly to the ground. If there are no empty floors, other methods will be used to guide the falling objects; the specific methods will not be detailed here but will be described in detail in subsequent embodiments.

[0177] Step S501: When there are empty floors, determine the height and orientation of the empty floors based on the BIM model and the empty floors.

[0178] The height of an empty window floor refers to the height of that floor from the ground. The orientation of an empty window floor refers to its direction relative to the location of the falling object.

[0179] After determining the usable empty floors, data analysis of the empty floors in the BIM model can be performed to obtain the height and orientation of the empty floors.

[0180] Step S502: Determine the buffer interception height based on the floor height of the empty window and the preset buffer height.

[0181] The buffer height is the distance the drone group flies downwards when the falling object makes contact with the interception net, as set by the technicians. The drone group flies downwards to buffer the impact of the falling object, which will not be elaborated here.

[0182] The buffer intercept height refers to the position from which the drone team begins to intercept falling objects. The buffer intercept height is the sum of the height of the empty floor and the buffer height. When the drone team intercepts the falling object at the buffer intercept height, the drone team descends to the exact height of the empty floor, and then guides the falling object to that floor.

[0183] Step S503: Control the drone group to intercept the falling object at the buffer interception height, and during the interception, control the drone group to tilt the interception net toward the empty window floor to guide the falling object to the empty window floor.

[0184] When guiding falling objects, the interception net is tilted and the tilt direction is towards the empty window floor, so that the falling objects can slide down the interception net and enter the empty window floor.

[0185] When the drone group flies out from the top of the inspection device, the position of each drone is already controlled. The altitude of some drones is higher than that of others, so that the interception net is already tilted before it can intercept the falling object.

[0186] Reference Figure 6 The handling method when falling objects cannot be intercepted also includes the following steps:

[0187] Step S600: When there are no empty floors, determine the diameter of the ground construction area based on the ground wave range image.

[0188] In this embodiment, if there are no empty floors, the system will use drones to guide the falling objects out of the ground construction area. At this time, the falling objects will fall to the ground, but are unlikely to cause harm to people within the construction area.

[0189] The diameter of the ground construction area refers to the circumferential distance between the construction site and the ground location below the high-altitude work site. The diameter of the ground construction area can be obtained through image recognition analysis of ground-based radar cross-section images.

[0190] Step S601: Match the lateral movement distance of the UAV group according to the diameter of the construction area.

[0191] Lateral movement distance refers to the horizontal distance the drone group travels when it intercepts falling debris. The lateral movement distance is consistent with the diameter of the construction area.

[0192] Step S602: Match the minimum interception altitude of the drone group according to the lateral movement distance and preset lateral movement speed of the drone group.

[0193] The lateral speed is the speed at which the drone group flies horizontally, as set by the technicians, and will not be elaborated here.

[0194] To ensure that the drone team can fly horizontally and move a certain distance during the time interval between the drone team's interception of the falling object and the falling object hitting the ground, there are requirements for the altitude at which the drone team begins to intercept the falling object. This altitude is the minimum interception altitude.

[0195] The minimum time required for the drone group to traverse can be calculated based on the lateral distance and speed of the drone group. Then, the minimum interception height can be calculated based on the calculated minimum time and the motion parameters of the falling object.

[0196] Step S603: Determine the location of the open area outside the diameter of the ground construction area based on the ground wave range image.

[0197] The location of an open area refers to the direction of the open space outside the diameter of the ground construction area relative to the location of the fallen object. The center of the fallen object's location is the center of the ground construction area. By analyzing the ground impact area image, the relative position and direction of the open space location to the center of the ground construction area is the location of the open area.

[0198] Step S604: Control the drone group to intercept the falling object at the lowest interception height. During the interception, control the drone group to move laterally towards an open area and tilt the interception net towards an open area to guide the falling object to an open area outside the diameter of the ground construction area.

[0199] The drone unit's interception net flies out at an angle from the top of the inspection device and intercepts falling objects at the lowest interception height. When the falling object makes contact with the interception net, the drone unit moves laterally towards an open area and moves downwards simultaneously. At this time, the falling object can slide down the interception net and eventually fall into an open area outside the diameter of the ground construction area.

[0200] Reference Figure 7 When intercepting falling objects, it is necessary to control the drone group. The drone group control method includes the following steps:

[0201] Step S700: Match the depth of the subsidence deformation of the interception net according to the interception impact force.

[0202] In cases where falling objects can be intercepted, when an object lands on the interception net, the net will deform downwards due to the impact. During this deformation, drones around the net will be pulled towards the center by the net. To prevent the drones from colliding and being damaged during this inward convergence, the size of the interception net needs to be controlled.

[0203] The depression deformation depth refers to the depth to which the interception net deforms downwards. The depression deformation depth is directly proportional to the interception impact force; the greater the interception impact force, the greater the depression deformation depth. Here, the calculation is based on the maximum interception impact force that the drone group can withstand. When the downward depression deformation of the interception net reaches its maximum, the drones will not collide with each other, thus the drone group is less likely to be damaged when intercepting falling objects.

[0204] Step S701: Determine the lateral convergence distance of the UAV group towards the center when it is impacted based on the depth of the depression deformation.

[0205] Lateral convergence distance refers to the distance that a drone moves inward to converge when the interceptor net deforms downward.

[0206] The downward deformation of the interception net is the same as the circumferential inward movement of the interception net. Therefore, the lateral convergence distance of the drones around the interception net is consistent with the depth of the downward deformation.

[0207] Step S702: Match the minimum radius of the interception net according to the lateral convergence distance.

[0208] The minimum radius refers to the radius of the interception net when drones are deformed and converge inwards, making collisions unlikely. The radius of the interception net needs to be greater than the lateral convergence distance; therefore, the minimum radius is the same as the lateral convergence distance.

[0209] Step S703: Determine the number of drones to be intercepted based on the total interception power and the preset rated power of each drone.

[0210] Rated power refers to the power value of a drone when it flies at maximum power.

[0211] The number of interceptions refers to the number of drones used to intercept falling objects.

[0212] When the drones fly out from the top of the inspection device, they all fly at their rated power. At this time, the total power of all the drones must be greater than or equal to the total interception power. The number of drones to be intercepted can be determined by the quotient of the total interception power and the rated power of each drone.

[0213] Step S704: Control the number of drones to pull the interception net with the smallest radius. The drones are evenly distributed around the interception net and controlled by rated power to intercept the falling object below the location of the falling object.

[0214] After determining the number of drones to be intercepted and the radius of the interception net, when the drone group flies out from the top of the inspection device, each drone is controlled to be evenly positioned around the interception net according to the number of interceptions, and then the drones are controlled to pull the interception net to fly using the rated power.

[0215] The formula for calculating the total interception power of a drone group is:

[0216] P = ρVgh / (η*Δt).

[0217] Where P is the total interception power of the drone group, ρ is the density of the falling object, V is the volume of the falling object, g is the gravitational acceleration, h is the falling height, η is the efficiency factor, and Δt is the interception time.

[0218] Based on the same inventive concept, embodiments of the present invention provide a BIM-based engineering supervision method system, comprising:

[0219] The acquisition module is used to acquire images of high-altitude work sites, ground-level impact range, the surface of safety helmets, and the interior of safety helmets.

[0220] The memory is used to store a program for a BIM-based engineering supervision method.

[0221] The processor can load and execute programs in memory to implement a BIM-based engineering supervision method.

[0222] Based on the same inventive concept, embodiments of the present invention provide a smart terminal, including a memory and a processor, wherein the memory stores a computer program that can be loaded and executed by the processor to perform a BIM-based engineering supervision method.

[0223] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A BIM-based engineering supervision method, characterized by, The method comprises the following steps: obtaining a high-altitude operation task list from a preset BIM model; determining a high-altitude operation site according to the BIM model and the high-altitude operation task list; obtaining a patrol path by connecting all the high-altitude operation sites; controlling a preset patrol device to patrol along the patrol path and obtain a high-altitude operation site image and a ground coverage range image of the ground under the high-altitude operation site; determining whether there is a construction worker according to the ground coverage range image; detecting the standard wearing of the construction worker by a preset wearing detection method based on the existence of the construction worker, and determining whether there is an object about to fall at the high-altitude operation site according to the high-altitude operation site image; if there is an object about to fall, intercepting the falling object at the high-altitude operation site by a preset falling object interception method; the top of the patrol device is provided with an unmanned aerial vehicle set, and the unmanned aerial vehicle set synchronously drags an interception net; the falling object interception method comprises the following steps: determining the position, material and volume of the falling object according to the high-altitude operation site image; determining the weight of the falling object according to the volume, material and preset material database matching of the falling object; determining the height from the ground according to the position of the falling object and the BIM model; determining the estimated impact force on landing according to the weight of the falling object and the height from the ground; defining as interceptable based on the estimated impact force on landing being not greater than a preset interception impact force, and matching the total interception power of the unmanned aerial vehicle set according to the estimated impact force on landing; controlling the unmanned aerial vehicle set to drag the interception net and intercept the falling object under the position of the falling object according to the total interception power; the unmanned aerial vehicle set control method comprises the following steps: matching the sinking deformation depth of the interception net according to the interception impact force; determining the lateral gathering distance of the unmanned aerial vehicle set when it is impacted to gather towards the center according to the sinking deformation depth; matching the minimum radius of the interception net according to the lateral gathering distance; determining the number of unmanned aerial vehicles according to the total interception power and the rated power of each unmanned aerial vehicle; controlling the unmanned aerial vehicles of the number to drag the interception net of the minimum radius, and uniformly distributing the unmanned aerial vehicles around the interception net and controlling the unmanned aerial vehicles to intercept the falling object under the position of the falling object at the rated power.

2. The BIM-based engineering supervision method according to claim 1, characterized in that, The wearing detection method comprises the following steps: determining whether the construction worker wears a safety helmet according to the ground coverage range image and a preset safety helmet feature; when the construction worker does not wear a safety helmet, scanning the construction worker and matching the personnel identity information of the construction worker with a preset personnel database; obtaining the head circumference information of the construction worker according to the personnel identity information; matching the safety helmet specification according to the head circumference information; pushing out the safety helmet preset in the patrol device according to the safety helmet specification, and issuing a wearing prompt; when the construction worker wears a safety helmet, issuing a head shaking prompt to the construction worker, obtaining a safety helmet surface image, and determining whether the safety helmet falls; based on the safety helmet not falling, determining whether the safety helmet has a crack according to the safety helmet surface image and a preset reference safety helmet; when the safety helmet has a crack, repairing the safety helmet by a preset safety helmet damage repair method.

3. The BIM-based engineering supervision method according to claim 2, characterized in that, ​ ​ According to the height information, the height of the canopy matched with the preset height of the inspection device is matched; According to the matched height of the canopy, the canopy is controlled to be unfolded and raised, prompting the construction personnel to stand under the canopy and put the safety helmet into the inspection device; According to the safety helmet surface image and the preset crack feature, the crack position and crack path of the crack feature on the surface of the safety helmet are determined; The crack position at one end of the crack path is taken as the initial immersion position of the safety helmet, and the crack path is taken as the rotation adjustment path of the safety helmet; The safety helmet is immersed in the molten plastic at a preset immersion depth from the initial immersion position with the opening of the safety helmet facing upward, so that the molten plastic penetrates into the crack feature, and the safety helmet is controlled to rotate along the rotation adjustment path, and an internal image of the safety helmet is obtained from the opening of the safety helmet; According to the internal image of the safety helmet, it is determined whether the crack feature inside the safety helmet penetrates the molten plastic; When the crack feature inside the safety helmet penetrates the molten plastic, the preset flattening device is controlled to flatten the molten plastic along the crack path inside the safety helmet; The safety helmet is taken out of the molten plastic, and the safety helmet is taken out of the inspection device after a preset drying time.

4. The BIM-based engineering supervision method of claim 1, wherein, When the falling object cannot be intercepted, the processing method includes: Based on the estimated landing impact force being greater than the interception impact force, it is defined as being unable to intercept, and based on the BIM model and the high-altitude operation site, it is determined whether there is an empty window floor under the high-altitude operation site, and the empty window floor is a floor without windows and can be accessed into the floor; When there is an empty window floor, the height and direction of the empty window floor are determined according to the BIM model and the empty window floor; According to the height of the empty window floor and the preset buffer height, the buffer interception height is determined; The unmanned aerial vehicle group is controlled to intercept the falling object at the buffer interception height, and the unmanned aerial vehicle group is controlled to tilt the interception net towards the direction of the empty window floor to guide the falling object to the empty window floor.

5. The BIM-based engineering supervision method according to claim 4, characterized in that, Further comprising: When there is no empty window floor, the ground construction range diameter is determined according to the ground wave range image; According to the construction range diameter, the horizontal movement distance of the unmanned aerial vehicle group is matched; According to the horizontal movement distance of the unmanned aerial vehicle group and the preset horizontal movement speed, the minimum interception height of the unmanned aerial vehicle group is matched; According to the ground wave range image, the empty ground position outside the ground construction range diameter is determined; The unmanned aerial vehicle group is controlled to intercept the falling object at the minimum interception height, and the unmanned aerial vehicle group is controlled to move horizontally by the horizontal movement distance towards the empty ground position, and the interception net is tilted towards the empty ground position to guide the falling object to the empty ground position outside the ground construction range diameter.

6. The BIM-based engineering supervision method of claim 1, wherein, The calculation formula of the total interception power of the unmanned aerial vehicle group is: P=ρVgh / (η*Δt); Wherein, P is the total interception power of the unmanned aerial vehicle group, ρ is the density of the falling object, V is the volume of the falling object, g is the acceleration of gravity, h is the falling height, η is the efficiency factor, and Δt is the interception time.

7. A BIM-based engineering supervision system, characterized by Including: An acquisition module for acquiring high-altitude operation point images, ground wave range images, safety helmet surface images, and safety helmet internal images; A memory for storing a program of a BIM-based engineering supervision method according to any one of claims 1 to 6; A processor, the program in the memory can be loaded and executed by the processor, and a BIM-based engineering supervision method is implemented.

8. A smart terminal, characterized by A computer program product comprising a memory and a processor, the memory having stored thereon computer program instructions capable of being loaded and executed by the processor to perform a BIM-based engineering supervision method as claimed in any one of claims 1 to 6.

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