An intelligent monitoring method for a construction non-handrail fence

Abstract

The application discloses a kind of intelligent monitoring methods of construction without foot hand around fence, A building and B building are arranged at intervals, B building is building in construction, second image acquisition device is arranged on A building for determining personnel condition, and first image acquisition device is arranged for determining fence state;When personnel is in early warning area, dangerous area, processor issues warning instruction and controls first image acquisition device to enter key area inspection mode;When in extreme weather, processor controls first image acquisition device to enter full-area inspection mode;When in non-extreme weather, no personnel enters early warning area, dangerous area, processor controls first image acquisition device to enter full-range monitoring mode.The intelligent monitoring method can realize large-scale, wide-area fence monitoring, can improve the level of informationization of field management, can realize real-time, uninterrupted monitoring to fence state, timely warning for dangerous situation, eliminate the security risk caused by no foot hand around fence.

Description

Technical Field

[0001] This invention relates to the field of building construction technology, and in particular to an intelligent monitoring method for construction without scaffolding barriers. Background Technology

[0002] During building construction, fencing is commonly used as a safety measure for high-altitude edge protection, creating a relatively enclosed environment to ensure the safety of personnel and the smooth progress of construction. In recent years, scaffold-free safety fencing has become increasingly widespread. Scaffold-free safety fencing is generally no more than 2.0m long, facilitating worker handling and installation, and its height is typically 1.2m to meet safety technical construction requirements.

[0003] In the construction of high-rise and super high-rise buildings, the number of floors and the number of safety barriers required are also numerous. If the fixed barrier system is missing or displaced due to human error, weather, or other reasons, and this is not detected in time, it will pose a significant hazard to on-site construction safety. Therefore, timely inspection of the barriers is necessary. Currently, inspection methods mainly rely on manual inspections. On-site inspections by safety officers are relatively outdated, involving a large workload, a high rate of missed inspections, and limited timeliness and frequency. Typically, a full-coverage inspection is conducted no more than once every half day. Summary of the Invention

[0004] To address the aforementioned problems in existing inspections of construction site fences without scaffolding, this invention provides an intelligent monitoring method for such fences, enabling large-scale, wide-area monitoring, improving the level of information technology in on-site management, and eliminating safety hazards caused by the absence of scaffolding.

[0005] To solve the above technical problems, the present invention includes the following technical solutions:

[0006] A smart monitoring method for construction sites without scaffolding barriers, wherein Building A and Building B are spaced apart, with Building B being the building under construction; the smart monitoring method includes the following steps:

[0007] Step 1: Install several image acquisition devices in Building A facing Building B. The image acquisition devices include a first image acquisition device and a second image acquisition device. The superimposed shooting range of the first image acquisition device can cover the fenced area of ​​Building B facing the building. The superimposed shooting range of the second image acquisition device can also cover the fenced area of ​​Building B facing the building. The first image acquisition device and the second image acquisition device are connected to the processor.

[0008] Step 2: After the fence on a certain floor of Building B is installed and accepted, the second image acquisition device captures an image of the fence as the first photo, and the first image acquisition device captures an image of the fence as the third photo; the second image acquisition device periodically captures images of the fence as the second photo, and the first image acquisition device periodically captures images of the fence as the fourth photo.

[0009] Step 3: The processor has a warning zone and a danger zone. The processor acquires a second photo and a first photo, and compares the second photo with the first photo to identify whether there is a person in the second photo. When a person is identified, it determines whether the person has entered the warning zone or the danger zone. If the identification result is yes, proceed to step 4; otherwise, proceed to step 5.

[0010] Step 4: The processor issues an alarm command; the processor controls the first image acquisition device to enter the key area inspection mode, and automatically zooms to scan the fences one by one on the floor where the personnel are located. The processor identifies whether the fence status is abnormal. If the identification result is yes, it issues a fence abnormality information; otherwise, it proceeds to step 3.

[0011] Step 5: In extreme weather, the processor controls the first image acquisition device to enter the full-area inspection mode. The first image acquisition device automatically zooms and scans the fence layer by layer. The processor identifies whether the fence status is abnormal. If the identification result is yes, it issues a fence abnormality information. If the identification result is no or it is not extreme weather, it proceeds to step 6.

[0012] Step Six: The processor controls the first image acquisition device to enter the full-range monitoring mode. The processor compares the fourth photo with the third photo to identify whether the fence status is normal. When the fence status is abnormal, the processor issues an abnormality warning. The first image acquisition device automatically zooms to identify and display the fence's coded identifier.

[0013] Furthermore, the image acquisition device adopts an integrated dual camera, with one camera serving as the first image acquisition device and the other camera serving as the second image acquisition device;

[0014] The first image acquisition device is zoomable, and both the first and second image acquisition devices can rotate.

[0015] Furthermore, before installing the image acquisition device in Building A, the number and location of the image acquisition device were calculated. Based on the engineering drawings of the site layout of the fence, the monitoring range of the image acquisition device, and the accuracy requirements, the installation location and number of cameras were determined.

[0016] On the side of Building B facing Building A, each floor is enclosed with a fence of length 'a', a spacing of 'b' between floors, and 'c' as the number of floors. The monitoring range and effective accuracy of the image acquisition device are 'r', and the number of cameras is 'm' ≥ abc / r'.

[0017] Furthermore, several wireless warning speakers are installed at intervals along the length of the fence. The controller can send warning commands to the wireless warning speakers, causing them to issue warning information.

[0018] The image acquisition device and wireless warning loudspeaker transmit data to the controller via a signal transmitter and a 5G gateway.

[0019] Furthermore, the processor has a pre-defined dangerous area [0, A 1] Warning Area [ A 1, A 2], A 1 = max{ k *Hh)+0.5; 0.3}, A 2=H;

[0020] in A 1. A 2 represents the set distance between the fence and the site. k is a constant, h is the height of the enclosure, and H is the maximum height of the construction workers.

[0021] This invention, by employing the above technical solutions, possesses the following advantages and positive effects compared to existing technologies: The intelligent monitoring method for construction site fencing without scaffolding provided in this application involves setting up a second image acquisition device on building A to capture images of building B, which are then used by the processor to determine personnel status. A first image acquisition device on building A captures images of building B, which are then used by the processor to determine the fencing status. Warning commands are issued when personnel are in warning or danger zones. The processor controls the first image acquisition device to enter a key area inspection mode, focusing on monitoring the fencing status within a specific area to ensure personnel safety. In extreme weather conditions, the processor controls the first image acquisition device to enter a full-area inspection mode, checking the status of all fencing to prevent the impact of extreme weather events such as strong winds, heavy rain, hail, and earthquakes on the fencing status, thus ensuring construction safety. This intelligent monitoring method enables large-scale, wide-area fencing monitoring, improves the level of information technology in on-site management, provides timely warnings of dangerous situations, eliminates safety hazards caused by fencing without scaffolding, and requires fewer devices at low cost. It enables real-time, uninterrupted monitoring of the fencing status without the need for personnel on duty. Attached Figure Description

[0022] Figure 1 This is a schematic diagram illustrating intelligent monitoring of the scaffold-free enclosure of Building B in one embodiment of the present invention;

[0023] Figure 2 This is a schematic diagram of the fencing layout for Building B in one embodiment of the present invention;

[0024] Figure 3This is a schematic diagram illustrating the intelligent monitoring of the construction site fences of buildings A and B during synchronous construction in one embodiment of the present invention.

[0025] The numbers in the diagram are as follows:

[0026] 1-Building A; 2-Building B; 3-Floor slab; 4-Enclosure. Detailed Implementation

[0027] The following detailed description, in conjunction with the accompanying drawings and specific embodiments, provides a more detailed explanation of the intelligent monitoring method for construction without scaffolding provided by the present invention. The advantages and features of the present invention will become clearer from the following description. It should be noted that the accompanying drawings are all in a very simplified form and use non-precise proportions, and are only used to facilitate and clarify the illustration of the embodiments of the present invention.

[0028] Combination Figure 1 and Figure 2 As shown in this embodiment, Building A1 and Building B2 are spaced apart. Building B2 is a building under construction. Building A1 already exists near Building B2. Building A1 can be a completed building or a building under construction simultaneously with Building B2. Before the curtain wall decoration, each floor of Building B needs to have fencing 4 installed at the edge of the floor slab 3 as a safety protection. By installing an image acquisition device on Building A, images of the fencing on each floor facing Building B are acquired, and then the image is compared by a processor to monitor the status of the fencing.

[0029] The intelligent monitoring method for construction without scaffolding provided in this embodiment includes the following steps:

[0030] Step 1: Install several image acquisition devices in Building A facing Building B. The image acquisition devices include a first image acquisition device and a second image acquisition device. The superimposed shooting range of the first image acquisition device can cover the fenced area of ​​Building B facing the building. The superimposed shooting range of the second image acquisition device can also cover the fenced area of ​​Building B facing the building. The first image acquisition device and the second image acquisition device are connected to the processor.

[0031] Step 2: After the fence on a certain floor of Building B is installed and accepted, the second image acquisition device captures an image of the fence as the first photo, and the first image acquisition device captures an image of the fence as the third photo; the second image acquisition device periodically captures images of the fence as the second photo, and the first image acquisition device periodically captures images of the fence as the fourth photo.

[0032] Step 3: The processor has a warning zone and a danger zone. The processor acquires a second photo and a first photo, and compares the second photo with the first photo to identify whether there is a person in the second photo. When a person is identified, it determines whether the person has entered the warning zone or the danger zone. If the identification result is yes, proceed to step 4; otherwise, proceed to step 5.

[0033] Step 4: The processor issues an alarm command; the processor controls the first image acquisition device to enter the key area inspection mode, and automatically zooms to scan the fences one by one on the floor where the personnel are located. The processor identifies whether the fence status is abnormal. If the identification result is yes, it issues a fence abnormality information; otherwise, it proceeds to step 3.

[0034] Step 5: The processor receives meteorological data and determines whether it is extreme weather. When it is determined to be extreme weather, or when the processor receives an instruction that the weather is extreme weather, the processor controls the first image acquisition device to enter the full-area inspection mode. The first image acquisition device automatically zooms and scans the fence layer by layer. The processor identifies whether the fence status is abnormal. If the identification result is yes, it issues a fence abnormality information. If the identification result is no or it is not extreme weather, it proceeds to step 6.

[0035] Step Six: The processor controls the first image acquisition device to enter the full-range monitoring mode. The processor compares the fourth photo with the third photo to identify whether the fence status is normal. When the fence status is abnormal, the processor issues an abnormality warning. The first image acquisition device automatically zooms to identify and display the fence's coded identifier; otherwise, proceed to Step Three.

[0036] In one specific embodiment, the image acquisition device employs an integrated dual-camera system, such as... Figure 1 AS1 and AS2 in the example Figure 3 AS1, BS1, AS2, and BS2 are integrated dual cameras, one of which serves as the first image acquisition device, and the other as the second image acquisition device. The first image acquisition device is zoomable, and both the first and second image acquisition devices can rotate. The photos taken by the first image acquisition device are used to identify the real-time status of the fence, such as the spacing, relative position, color, and coded markings of the fence. The photos taken by the second image acquisition device are used to identify whether there are people present and their positional relationship with the fence.

[0037] In one specific embodiment, before installing the image acquisition devices on Building A, the number and location of the devices are first calculated. Based on the site layout drawings of the fencing, the monitoring range of the image acquisition devices, and the accuracy requirements, the installation locations and number of cameras are determined. On the side of Building B facing Building A, each floor has a fencing length of 'a', a spacing of 'b' between floors, and 'c' as the number of floors. The effective monitoring accuracy range of the image acquisition devices is 'r', and the number of cameras is m ≥ abc / r. For example... Figure 1As shown, the viewing angle range of the first image acquisition device of the integrated dual-camera AS1 is α. 11 The viewing angle range of the second image acquisition device is α. 12 The viewing angle range of the first image acquisition device of the integrated dual-camera AS2 is α. 21 The viewing angle range of the second image acquisition device is α. 22 It should be noted that since the images captured by the second image acquisition device are used to determine whether there are people and the positional relationship between people and the warning area and danger area, the viewing angle of the second image acquisition device is eye-level or overhead. On the other hand, the images captured by the first image acquisition device are used to determine the state of the fence, so the first image acquisition device is required to be able to capture the fence, and the viewing angle can be eye-level, overhead, or upward.

[0038] In one specific embodiment, the image acquisition device transmits data to the controller via a signal transmitter and a 5G gateway. Several wireless warning speakers are spaced apart along the length of the fence, and the controller can send warning commands to the wireless warning speakers, causing them to issue warning information. The image acquisition device can be powered by a photovoltaic panel power supply system. For example... Figure 3 The system is equipped with wireless early warning speakers AL1, AL2, BL1, and BL2, and photovoltaic power supply systems ABS1, ABS2, BBS1, and BBS2.

[0039] In one specific embodiment, the construction site fence is equipped with a three-level coded identifier xx-xx-xx, which includes the building name, floor number, and the code for the specific unit. For example... Figure 2 In the process, the first layer of fencing is coded from A-1-1 to A-1-11, and the seventh layer is coded from A-7-1 to A-7-11. Standard fencing dimensions are pre-set in the processor, for example, a fencing height of 1.2m and a length of 2m. Furthermore, the processor pre-sets hazardous areas [0, A 1] Warning Area [ A 1, A 2], A 1. A 2 represents the set distance between the fence and the site, for example... A 1 = max{ k *Hh)+0.5; 0.3}, A 2=H, where kHere, H is a constant representing the ratio of body center of gravity to height, which can be taken as 0.56, and H is the maximum height of the construction worker. The processor compares the second photo with the first photo, removes the fenced area and building structure area, and then determines whether there is a person in the second photo based on the person's helmet, work clothes, and body characteristics. The processor calculates whether a person has entered the warning area or danger area based on the distance between buildings A and B, the angle between the second image acquisition device and the fence, and the proportion of the person's height visible after being obscured by the fence. Alternatively, reflective markings can be placed around the clothing of personnel entering the construction area, for example, the reflective markings are 1.2m high, and reflective markings can also be placed on the personnel's safety helmets to facilitate identification of personnel and the distance between the personnel and the fence. A coarse method can also be used to determine whether a person has entered the warning area or danger area: if the fence covers the construction worker's shoes up to the knee, the person is considered to be in the warning area; if the fence covers the person's knees and above, the person is considered to be in the danger area.

[0040] In one specific embodiment, the processor uses the opencv-python library to detect the size and spacing deviation of the fences. For example, the spacing deviation values ​​of adjacent fence positions △X1, △X2, ..., △Xn, max{△X1, △X2, ..., △Xn}*Y≤△ are considered normal, while those values ​​are abnormal. The processor identifies and displays the coded identifiers of the abnormal fences one by one, where △ is the set allowable deviation value and Y is the ratio between the actual size of the object and the size of the object in the photo.

[0041] In one specific embodiment, such as Figure 3 As shown, buildings A and B are under construction simultaneously. Safety barriers are erected at the edges of each floor of both buildings. An image acquisition device is installed in building A to capture photos of the barriers around building B, and vice versa. The method of using the image acquisition device in building B to take photos to monitor the status of the barriers around building A is described above, and will not be repeated here.

[0042] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0043] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these all fall within the protection scope of the present invention. Therefore, the protection scope of this invention patent should be determined by the appended claims.

Claims

1. A method for intelligent monitoring of construction sites without scaffolding barriers, characterized in that, Buildings A and B are spaced apart, with Building B being a building under construction; the intelligent monitoring method includes the following steps: Step 1: Install several image acquisition devices in Building A facing Building B. The image acquisition devices include a first image acquisition device and a second image acquisition device. The superimposed shooting range of the first image acquisition device can cover the fenced area of ​​Building B facing the building. The superimposed shooting range of the second image acquisition device can also cover the fenced area of ​​Building B facing the building. The first image acquisition device and the second image acquisition device are connected to the processor. Step 2: After the fence on a certain floor of Building B is installed and accepted, the second image acquisition device captures an image of the fence as the first photo, and the first image acquisition device captures an image of the fence as the third photo; the second image acquisition device periodically captures images of the fence as the second photo, and the first image acquisition device periodically captures images of the fence as the fourth photo. Step 3: The processor has a warning zone and a danger zone. The processor acquires a second photo and a first photo, and compares the second photo with the first photo to identify whether there is a person in the second photo. When a person is identified, it determines whether the person has entered the warning zone or the danger zone. If the identification result is yes, proceed to step 4; otherwise, proceed to step 5. Step 4: The processor issues an alarm command; the processor controls the first image acquisition device to enter the key area inspection mode, and automatically zooms to scan the fences one by one on the floor where the personnel are located. The processor identifies whether the fence status is abnormal. If the identification result is yes, it issues a fence abnormality information; otherwise, it proceeds to step 3. Step 5: In extreme weather, the processor controls the first image acquisition device to enter the full-area inspection mode. The first image acquisition device automatically zooms and scans the fence layer by layer. The processor identifies whether the fence status is abnormal. If the identification result is yes, it issues a fence abnormality information. If the identification result is no or it is not extreme weather, it proceeds to step 6. Step Six: The processor controls the first image acquisition device to enter the full-range monitoring mode. The processor compares the fourth photo with the third photo to identify whether the fence status is normal. When the fence status is abnormal, the processor issues an abnormality warning. The first image acquisition device automatically zooms to identify and display the fence's coded identifier.

2. The intelligent monitoring method for construction without scaffolding as described in claim 1, characterized in that, The image acquisition device uses an integrated dual camera, with one camera serving as the first image acquisition device and the other camera serving as the second image acquisition device; The first image acquisition device is zoomable, and both the first and second image acquisition devices can rotate.

3. The intelligent monitoring method for construction without scaffolding as described in claim 1, characterized in that, Before installing the image acquisition device in Building A, the number and location of the image acquisition device should be calculated. Based on the engineering drawings of the site layout of the fence, the monitoring range of the image acquisition device and the accuracy requirements, the installation location and number of cameras should be determined. On the side of Building B facing Building A, each floor is enclosed with a fence of length 'a', a spacing of 'b' between floors, and 'c' as the number of floors. The monitoring range and effective accuracy of the image acquisition device are 'r', and the number of cameras is 'm' ≥ abc / r'.

4. The intelligent monitoring method for construction without scaffolding as described in claim 1, characterized in that, Several wireless warning speakers are installed at intervals along the length of the fence. The controller can send warning commands to the wireless warning speakers, causing them to issue warning information. The image acquisition device and wireless warning loudspeaker transmit data to the controller via a signal transmitter and a 5G gateway.

5. The intelligent monitoring method for construction without scaffolding as described in claim 1, characterized in that, The processor has a preset danger zone [0, A 1] Warning Area [ A 1, A 2], A 1 = max{ k *Hh)+0.5; 0.3}， A 2=H； in A 1. A 2 represents the set distance between the fence and the site. k is a constant, h is the height of the enclosure, and H is the maximum height of the construction workers.

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