Building construction safety monitoring system

Abstract

The invention relates to a building construction safety monitoring system which comprises a pattern storage mechanism, a network imaging mechanism, a multi-stage enhancement mechanism, a first identification device, a second identification device, a third identification device and a balance judgment device. According to the invention, the construction safety can be monitored.

Description

Technical Field

[0001] The invention relates to the field of construction, and in particular to a building construction safety monitoring system. Background Art

[0002] In construction, safety is the first factor. For example, CN119083811A discloses an adjustable construction safety protection device, including a support frame, a connecting rod is fixed to the inner wall of the support frame, a support plate is fixed to the inner wall on the opposite side of the support frame, a movable plate is slidably connected to the inner wall on the opposite side of the support frame, a second hydraulic rod is fixed to the outer wall of the bottom of the movable plate, the telescopic end of the second hydraulic rod is fixed to the outer wall of the support plate, and a group of support columns are rotatably connected to the outer wall of one side of the movable plate. It allows the staff to conveniently open and close the first protective door frame and the second protective door frame, while improving the safety of the protective device when in use, so that the protective device can be conveniently adjusted in the closed state and the open state.

[0003] CN119062138A discloses a construction safety protection device, including a steel plate mesh, which is installed and fixed to the external steel frame of the building through a connecting piece composed of a support assembly and a connecting assembly: the support assembly includes a support clamping unit and an adjustment unit, and the connecting assembly includes an upper connecting unit and a lower connecting unit. The present invention can realize the rapid installation of the steel plate mesh by setting a support assembly and a connecting assembly. Compared with the traditional structure of combining and installing scattered parts, the support assembly and the connecting assembly are combined into an integral structure, which is not only easier to operate, but also requires fewer actions to tighten the bolts during the overall installation. Only two wedge-shaped blocks are needed to complete the preliminary installation, and finally one bolt is used for reinforcement, and the overall installation efficiency is faster. Summary of the invention

[0004] In order to solve the technical problems in the prior art, the present invention provides a construction safety monitoring system, which can parse each target pixel from a multi-level enhanced image based on a red-green component value range, a black-white component value range and a yellow-blue component value range in a LAB space corresponding to a wheelbarrow of the type used on a construction site, wherein the red-green component value, the black-white component value and the yellow-blue component value corresponding to each target pixel are respectively within the red-green component value range, the black-white component value range and the yellow-blue component value range in the LAB space corresponding to the wheelbarrow, each target pixel in the multi-level enhanced image is fitted to obtain a recognition area of ​​the wheelbarrow in the multi-level enhanced image, the outer shape of the recognition area of ​​the wheelbarrow in the multi-level enhanced image is matched with a geometric shape corresponding to a standard pattern of an overhead shot of the wheelbarrow to determine a shape deviation level of the wheelbarrow inversely associated with the matching level based on the obtained matching level, and is also used to send a vehicle body imbalance detection signal when the shape deviation level identified by a targeted visual recognition mechanism is greater than or equal to a set level limit, and is also used to send a vehicle body imbalance non-detection signal when the shape deviation level identified by a targeted visual recognition mechanism is less than the set level limit.

[0005] According to the present invention, a construction safety monitoring system is provided, the system comprising: A pattern storage mechanism is arranged in a control room of a construction site and is used to pre-store standard patterns of overhead shots of a type of wheelbarrow used at the construction site in a horizontally balanced state; A network imaging mechanism is arranged just above the central position of the construction site, and is used to trigger an overhead shooting operation of the construction site based on a network control instruction, so as to obtain and output a corresponding network imaging picture; A multi-level enhancement mechanism, connected to the network imaging mechanism and comprising a real-time interpolation device, a maximum filtering device and a field processing device, for sequentially performing bicubic interpolation processing of an 8-pixel×8-pixel neighborhood, a maximum filtering processing and a histogram equalization processing on the received network imaging picture, so as to obtain and output a corresponding multi-level enhanced image; The first recognition device is used to parse each target pixel from the received multi-level enhanced image based on the red-green component value range, the black-white component value range and the yellow-blue component value range in the LAB space corresponding to the wheelbarrow of the type used at the construction site, and the red-green component value, the black-white component value and the yellow-blue component value corresponding to each target pixel are respectively within the red-green component value range, the black-white component value range and the yellow-blue component value range in the LAB space corresponding to the wheelbarrow; A second recognition device, connected to the first recognition device, is used to fit each target pixel point in the multi-level enhanced image to obtain a recognition area of ​​the cart in the multi-level enhanced image; a third recognition device, connected to the second recognition device and the pattern storage mechanism, respectively, for matching the outer shape of the recognition area of ​​the trolley in the multi-level enhanced image with the geometric shape corresponding to the overhead standard pattern of the trolley to determine, based on the obtained matching degree, a shape deviation level of the trolley inversely associated with the matching degree; The balance judgment device is connected to the third recognition device and is used to send a vehicle imbalance detection signal when the shape deviation level determined by the third recognition device is greater than or equal to the set level limit, and is also used to send a vehicle imbalance non-detection signal when the shape deviation level determined by the third recognition device is less than the set level limit.

[0006] It can be seen that the present invention has at least the following three important inventive concepts: First: based on the red-green component value range, black-white component value range and yellow-blue component value range in the LAB space corresponding to the wheelbarrow used in the construction site, each target pixel is parsed from the multi-level enhanced image, and the red-green component value, black-white component value and yellow-blue component value corresponding to each target pixel are respectively within the red-green component value range, black-white component value range and yellow-blue component value range in the LAB space corresponding to the wheelbarrow; Second, fitting each target pixel point in the multi-level enhanced image to obtain an identification area of ​​the trolley in the multi-level enhanced image, matching the shape of the identification area of ​​the trolley in the multi-level enhanced image with a geometric shape corresponding to a standard pattern of the overhead shot of the trolley to determine a shape deviation level of the trolley inversely associated with the matching degree based on the obtained matching degree; Third: Introducing a balance judgment device is used to send a vehicle imbalance detection signal when the shape deviation level identified by the targeted visual recognition mechanism is greater than or equal to the set level limit, and is also used to send a vehicle imbalance non-detection signal when the shape deviation level identified by the targeted visual recognition mechanism is less than the set level limit. DETAILED DESCRIPTION

[0007] Image enhancement is an important branch of image processing. The goal of image enhancement is to improve the quality of the image, such as increasing contrast, removing blur and noise, and correcting geometric distortion; image restoration is a technique that attempts to estimate the original image when assuming a known blur or noise model. Image enhancement can be divided into frequency domain method and spatial domain method according to the method used. The former regards the image as a two-dimensional signal and performs signal enhancement based on two-dimensional Fourier transform. The low-pass filtering method can remove the noise in the image; the high-pass filtering method can enhance high-frequency signals such as edges to make blurred images clear. Representative spatial domain algorithms include local averaging method and median filtering method, which can be used to remove or reduce noise.

[0008] Image recognition is also an important branch of image processing. It is generally hoped that various image recognition application solutions can be used to solve the recognition and processing of the state of set objects in various application scenarios. For example, targeted recognition and processing can be performed on the shape deviation level of the wheelbarrows in the construction site to identify whether each wheelbarrow in the construction site is seriously deformed, thereby strengthening the monitoring of construction safety. Obviously, the existing technology lacks the targeted image recognition mechanism for the above customized scenarios.

[0009] The following is a detailed description of an embodiment of the construction safety monitoring system of the present invention. First embodiment

[0010] A construction safety monitoring system according to a first embodiment of the present invention includes: A pattern storage mechanism is arranged in a control room of a construction site and is used to pre-store standard patterns of overhead shots of a type of wheelbarrow used at the construction site in a horizontally balanced state; Specifically, the pattern storage mechanism is arranged in the control room of the construction site, and is used to pre-store the standard pattern of the overhead shot of the type of wheelbarrow used in the construction site in a horizontal balance state. The ... can be implemented by using a FLASH flash memory, an MMC storage device, a TF storage device, or a CF storage device. The pattern storage mechanism is arranged in the control room of the construction site, and is used to pre-store the standard pattern of the overhead shot of the type of wheelbarrow used in the construction site in a horizontal balance state. A network imaging mechanism is arranged just above the central position of the construction site, and is used to trigger an overhead shooting operation of the construction site based on a network control instruction, so as to obtain and output a corresponding network imaging picture; A multi-level enhancement mechanism, connected to the network imaging mechanism and comprising a real-time interpolation device, a maximum filtering device and a field processing device, for sequentially performing bicubic interpolation processing of an 8-pixel×8-pixel neighborhood, a maximum filtering processing and a histogram equalization processing on the received network imaging picture, so as to obtain and output a corresponding multi-level enhanced image; The first recognition device is used to parse each target pixel from the received multi-level enhanced image based on the red-green component value range, the black-white component value range and the yellow-blue component value range in the LAB space corresponding to the wheelbarrow of the type used at the construction site, and the red-green component value, the black-white component value and the yellow-blue component value corresponding to each target pixel are respectively within the red-green component value range, the black-white component value range and the yellow-blue component value range in the LAB space corresponding to the wheelbarrow; A second recognition device, connected to the first recognition device, is used to fit each target pixel point in the multi-level enhanced image to obtain a recognition area of ​​the cart in the multi-level enhanced image; a third recognition device, connected to the second recognition device and the pattern storage mechanism, respectively, for matching the outer shape of the recognition area of ​​the trolley in the multi-level enhanced image with the geometric shape corresponding to the overhead standard pattern of the trolley to determine, based on the obtained matching degree, a shape deviation level of the trolley inversely associated with the matching degree; a balance judgment device connected to the third recognition device, configured to send a vehicle body imbalance detection signal when the shape deviation level determined by the third recognition device is greater than or equal to a set level limit, and further configured to send a vehicle body imbalance non-detection signal when the shape deviation level determined by the third recognition device is less than the set level limit; Among them, the red and green component value range, black and white component value range and yellow and blue component value range in the LAB space corresponding to the cart used in the construction site are used to parse each target pixel from the received multi-level enhanced image, and the red and green component value, black and white component value and yellow and blue component value corresponding to each target pixel are respectively included in the red and green component value range, black and white component value range and yellow and blue component value range in the LAB space corresponding to the cart: the red and green component value, black and white component value and yellow and blue component value corresponding to each target pixel are all between 0-255. Second embodiment

[0011] A second embodiment of the present invention shows a construction safety monitoring system.

[0012] Different from the first embodiment, the construction safety monitoring system in the second embodiment may further include the following components: a data monitoring device, comprising a plurality of monitoring cameras facing the first recognition device, the second recognition device, the third recognition device and the balance judgment device respectively, and used for monitoring the real-time status of the first recognition device, the second recognition device, the third recognition device and the balance judgment device in a time-sharing manner; The data monitoring device comprises a plurality of monitoring cameras facing the first recognition device, the second recognition device, the third recognition device and the balance judgment device respectively, and is used for time-sharing monitoring of the real-time status of the first recognition device, the second recognition device, the third recognition device and the balance judgment device, including: the first recognition device, the second recognition device, the third recognition device and the balance judgment device are respectively connected to the data monitoring device using different CSI interfaces; Wherein, the data monitoring device comprises a plurality of monitoring cameras facing the first recognition device, the second recognition device, the third recognition device and the balance judgment device respectively, and is used for time-sharing monitoring of the real-time status of the first recognition device, the second recognition device, the third recognition device and the balance judgment device, and further comprises: the plurality of monitoring cameras facing the first recognition device, the second recognition device, the third recognition device and the balance judgment device respectively have the same structure; The data monitoring device includes a plurality of monitoring cameras facing the first recognition device, the second recognition device, the third recognition device and the balance judgment device respectively, and is used for time-sharing monitoring of the real-time status of the first recognition device, the second recognition device, the third recognition device and the balance judgment device. It also includes: a plurality of monitoring cameras facing the first recognition device, the second recognition device, the third recognition device and the balance judgment device respectively. Built-in image sensing units; Among them, a plurality of surveillance cameras facing the first recognition device, the second recognition device, the third recognition device and the balance judgment device respectively have built-in image sensing units: the image sensing units are CMOS sensing units or CCD sensing units. Third embodiment

[0013] A third embodiment of the present invention shows a construction safety monitoring system.

[0014] Different from the first embodiment, the construction safety monitoring system in the third embodiment may further include the following components: a content display device, connected to the first recognition device, the second recognition device, the third recognition device and the balance judgment device respectively, and used to simultaneously display various status information of the first recognition device, the second recognition device, the third recognition device and the balance judgment device, further comprising: the content display device is a liquid crystal display screen or an LED display array; The quartz oscillator device is connected to the first recognition device, the second recognition device, the third recognition device and the balance judgment device, respectively, and is used to simultaneously provide the first recognition device, the second recognition device, the third recognition device and the balance judgment device with the working clock pulses they need; And wherein, the quartz oscillator device is respectively connected to the first identification device, the second identification device, the third identification device and the balance judgment device, and is used to simultaneously provide the first identification device, the second identification device, the third identification device and the balance judgment device with the required working clock pulses respectively, including: the required working clock pulses provided to the first identification device, the second identification device, the third identification device and the balance judgment device respectively are all square wave waveforms.

[0015] In addition, in the construction safety monitoring system, each target pixel is parsed from the received multi-level enhanced image based on the red and green component value range, black and white component value range and yellow and blue component value range in the LAB space corresponding to the cart used on the construction site, and the red and green component value, black and white component value and yellow and blue component value corresponding to each target pixel are respectively within the red and green component value range, black and white component value range and yellow and blue component value range in the LAB space corresponding to the cart, which also includes: using MATLAB toolbox to simulate the numerical processing process of parsing each target pixel from the received multi-level enhanced image based on the red and green component value range, black and white component value range and yellow and blue component value range in the LAB space corresponding to the cart used on the construction site, and the red and green component value, black and white component value and yellow and blue component value corresponding to each target pixel are respectively within the red and green component value range, black and white component value range and yellow and blue component value range in the LAB space corresponding to the cart.

[0016] A construction safety monitoring system of the present invention is used to address the technical problem that the prior art cannot perform targeted identification and processing on the shape deviation level of a wheelbarrow on a construction site. The shape deviation level of the wheelbarrow is intelligently identified based on various on-site visual data of the wheelbarrows used on the construction site, and when the shape deviation level is greater than or equal to a set level limit, a vehicle body imbalance detection signal is issued, otherwise, a vehicle body imbalance undetected signal is issued, thereby achieving intelligent analysis of the shape deformation degree of each wheelbarrow on the construction site.

[0017] Although the embodiments of the present invention have been described to some extent with specific examples, it should be understood that the present invention is not limited thereto. It will also be understood by those skilled in the art that various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention.

Claims

1. A construction safety monitoring system, characterized in that: The system comprises: A pattern storage mechanism is arranged in a control room of a construction site and is used to pre-store standard patterns of overhead shots of a type of wheelbarrow used at the construction site in a horizontally balanced state; A network imaging mechanism is arranged just above the central position of the construction site, and is used to trigger an overhead shooting operation of the construction site based on a network control instruction, so as to obtain and output a corresponding network imaging picture; A multi-level enhancement mechanism, connected to the network imaging mechanism and comprising a real-time interpolation device, a maximum filtering device and a field processing device, for sequentially performing bicubic interpolation processing of an 8-pixel×8-pixel neighborhood, a maximum filtering processing and a histogram equalization processing on the received network imaging picture, so as to obtain and output a corresponding multi-level enhanced image; The first recognition device is used to parse each target pixel from the received multi-level enhanced image based on the red-green component value range, the black-white component value range and the yellow-blue component value range in the LAB space corresponding to the wheelbarrow of the type used at the construction site, and the red-green component value, the black-white component value and the yellow-blue component value corresponding to each target pixel are respectively within the red-green component value range, the black-white component value range and the yellow-blue component value range in the LAB space corresponding to the wheelbarrow; A second recognition device, connected to the first recognition device, is used to fit each target pixel point in the multi-level enhanced image to obtain a recognition area of ​​the cart in the multi-level enhanced image; a third recognition device, connected to the second recognition device and the pattern storage mechanism, respectively, for matching the outer shape of the recognition area of ​​the trolley in the multi-level enhanced image with the geometric shape corresponding to the overhead standard pattern of the trolley to determine, based on the obtained matching degree, a shape deviation level of the trolley inversely associated with the matching degree; The balance judgment device is connected to the third recognition device and is used to send a vehicle imbalance detection signal when the shape deviation level determined by the third recognition device is greater than or equal to the set level limit, and is also used to send a vehicle imbalance non-detection signal when the shape deviation level determined by the third recognition device is less than the set level limit.

2. The construction safety monitoring system according to claim 1, characterized in that: Based on the red and green component value range, black and white component value range and yellow and blue component value range in the LAB space corresponding to the cart used in the construction site, each target pixel is parsed from the received multi-level enhanced image, and the red and green component value, black and white component value and yellow and blue component value corresponding to each target pixel are respectively included in the red and green component value range, black and white component value range and yellow and blue component value range in the LAB space corresponding to the cart: the red and green component value, black and white component value and yellow and blue component value corresponding to each target pixel are all between 0-255.

3. The construction safety monitoring system according to claim 2, characterized in that: The system further comprises: a data monitoring device, comprising a plurality of monitoring cameras facing the first recognition device, the second recognition device, the third recognition device and the balance judgment device respectively, and used for monitoring the real-time status of the first recognition device, the second recognition device, the third recognition device and the balance judgment device in a time-sharing manner; Among them, the data monitoring device includes multiple monitoring cameras facing the first recognition device, the second recognition device, the third recognition device and the balance judgment device respectively, and is used to time-sharingly monitor the real-time status of the first recognition device, the second recognition device, the third recognition device and the balance judgment device, including: the first recognition device, the second recognition device, the third recognition device and the balance judgment device are respectively connected to the data monitoring device using different CSI interfaces.

4. The construction safety monitoring system according to claim 3, characterized in that: The data monitoring device includes a plurality of monitoring cameras facing the first recognition device, the second recognition device, the third recognition device and the balance judgment device respectively, and is used for time-sharing monitoring of the real-time status of the first recognition device, the second recognition device, the third recognition device and the balance judgment device. The device also includes: the plurality of monitoring cameras facing the first recognition device, the second recognition device, the third recognition device and the balance judgment device respectively have the same structure.

5. The construction safety monitoring system according to claim 4, characterized in that: The data monitoring device includes a plurality of monitoring cameras facing the first recognition device, the second recognition device, the third recognition device and the balance judgment device respectively, and is used for time-sharing monitoring of the real-time status of the first recognition device, the second recognition device, the third recognition device and the balance judgment device. The device also includes: a plurality of monitoring cameras with built-in image sensing units facing the first recognition device, the second recognition device, the third recognition device and the balance judgment device respectively.

6. The construction safety monitoring system according to claim 5, characterized in that: A plurality of surveillance cameras respectively facing the first recognition device, the second recognition device, the third recognition device and the balance judgment device have built-in image sensing units: the image sensing units are CMOS sensing units or CCD sensing units.

7. The construction safety monitoring system according to claim 2, characterized in that: The system further comprises: A content display device is connected to the first recognition device, the second recognition device, the third recognition device and the balance judgment device respectively, and is used to simultaneously display various status information of the first recognition device, the second recognition device, the third recognition device and the balance judgment device, and also includes: the content display device is a liquid crystal display screen or an LED display array.

8. The construction safety monitoring system according to claim 7, characterized in that: A quartz oscillator device is respectively connected to the first recognition device, the second recognition device, the third recognition device and the balance judgment device, and is used to simultaneously provide the first recognition device, the second recognition device, the third recognition device and the balance judgment device with the working clock pulses they need.

9. The construction safety monitoring system according to claim 8, characterized in that: A quartz oscillator device is respectively connected to the first identification device, the second identification device, the third identification device and the balance judgment device, and is used to simultaneously provide the first identification device, the second identification device, the third identification device and the balance judgment device with their respective required working clock pulses, including: the working clock pulses simultaneously provided to the first identification device, the second identification device, the third identification device and the balance judgment device are all square wave waveforms.