Building construction safety monitoring system
By comparing the noise reduction ratio of different filter algorithms in the building construction safety monitoring system and selecting the maximum value for image processing, the image quality problems caused by changes in the internal environmental picture content of the construction site are solved, and the optimal filtering effect and power consumption management are achieved.
Patent Information
- Application Number
- CN202411731449.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Priority Date
- 2023-12-08
- Filing Date
- 2024-11-29
- Publication Date
- 2025-02-25
- Estimated Expiration
- 2044-11-29
AI Technical Summary
During construction, the picture content of the internal environment of the construction site varies according to time, which makes it difficult for traditional filtering algorithms to obtain the best picture quality, affecting the effect of construction safety monitoring.
Design a construction safety monitoring system, and select the filtering algorithm that obtains the maximum value by comparing the noise reduction ratio of various filtering algorithms, filtering the geometrically corrected images to optimize image quality. At the same time, environmental sensing is triggered only when there are employees on the construction site to reduce unnecessary power consumption.
The optimal filtering of the images of the building construction safety monitoring system is achieved, which improves the image quality, and reduces power consumption and waste through intelligent triggering mechanisms.
Smart Images

Figure CN119515693A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of building construction, and more specifically, to a building construction safety monitoring system. Background Art
[0002] Image filtering, i.e., suppressing the noise of the target image while retaining the image detail features as much as possible, is an indispensable operation in image preprocessing, and the quality of its processing effect will directly affect the effectiveness and reliability of subsequent image processing and analysis. Generally speaking, when the signal spectrum is aliased with the noise spectrum or when the signal contains non-additive noise (such as noise caused by system nonlinearity or non-Gaussian noise), traditional linear filtering techniques, such as Fourier transform, will always blur the image details (such as edges, etc.) in some way while filtering out the noise, thereby reducing the positioning accuracy of the linear features and the extractability of the features. Nonlinear filters are based on a nonlinear mapping relationship of the input signal, and can often map a specific noise to zero approximately while retaining the main features of the signal, so they can overcome the shortcomings of linear filters to a certain extent. Prior art CN102067600A provides a method and device for using local adaptive filtering for motion compensation interpolation and reference picture filtering. The device includes an encoder (100) for encoding picture data. The encoder (100) includes at least one local adaptive filter (150) for performing local adaptive filtering for at least one of reference picture filtering and interpolation filtering on picture data.
[0003] At present, construction sites need to carry out various constructions, and the equipment and personnel are relatively complex. When conducting safety monitoring, the picture content corresponding to the internal environment of the construction site is different at different times. As a result, if the same filtering algorithm is used to perform the same filtering processing on the picture content corresponding to all the internal environments of the construction sites, the final picture obtained is often not of the most optimized quality. Therefore, it is necessary to find a filtering algorithm that can obtain the best picture quality for the picture content corresponding to the internal environment of the construction site at different times. 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 compare the noise reduction ratios corresponding to various filtering algorithms to obtain the filtering algorithm corresponding to the maximum value, and apply the filtering algorithm corresponding to the maximum value to the geometric correction image to perform filtering processing to obtain the optimized filtered image corresponding to the geometric correction image, thereby achieving the best filtering effect for the geometric correction image. At the same time, only when the total number of employees currently staying in the target construction site is non-zero, the environmental sensing mechanism is triggered to perform the sensing action on the internal environment of the target construction site to obtain the corresponding construction site environment picture, thereby reducing unnecessary power consumption.
[0005] According to the present invention, a construction safety monitoring system is provided, the system comprising: The gate control mechanism is used to count the number of employees entering the target construction site and count the number of employees leaving the target construction site on that day while releasing each employee entering the target construction site to obtain the total number of employees currently staying in the target construction site; An environment sensing mechanism, connected to the gate control mechanism, for performing a sensing action on the internal environment of the target construction site to obtain a corresponding construction site environment picture when the total number of employees currently staying in the target construction site received is non-zero; A sequential mapping mechanism, comprising a first mapping unit, a second mapping unit and a third mapping unit, wherein the second mapping unit is connected to the first mapping unit and the third mapping unit respectively, the first mapping unit is connected to the environment sensing mechanism, the first mapping unit is used to perform Butterworth low-pass filtering on the received construction site environment image to obtain and output a corresponding content filtered image, the second mapping unit is used to perform horizontal sharpening processing and vertical sharpening processing on the received content filtered image in sequence to obtain and output a corresponding direction-sharpened image, and the third mapping unit is used to perform geometric correction processing on the received direction-sharpened image to obtain and output a corresponding geometric correction image; A ratio resolution mechanism connected to the sequential mapping mechanism, used to collect the resolution of the received geometrically corrected image, the number of pixels occupied by the background image area, and the color channel values corresponding to the pixels in the geometrically corrected image, and input the binary value of the algorithm code corresponding to the current filtering algorithm, the resolution of the geometrically corrected image, the number of pixels occupied by the background image area, and the color channel values corresponding to the pixels in the geometrically corrected image into the convolutional neural network after completing multiple learning to obtain the noise reduction ratio of the output geometrically corrected image obtained by using the current filtering algorithm; A value detection mechanism, connected to the level separation mechanism, is used to compare the noise reduction ratio values corresponding to various filtering algorithms to obtain the filtering algorithm corresponding to the maximum value; The content conversion mechanism is connected to the numerical detection mechanism and is used to apply the filtering algorithm corresponding to the maximum value therein to the geometrically corrected image to perform filtering processing and obtain an optimized filtered image corresponding to the geometrically corrected image.
[0006] The construction safety monitoring system of the present invention has a compact structure and intelligent design. Since the noise reduction ratios corresponding to various filtering algorithms can be compared, the filtering algorithm corresponding to the maximum value can be applied to the geometric correction image to perform filtering processing, and the optimized filtering image corresponding to the geometric correction image can be obtained, thereby achieving the best filtering effect for the geometric correction image. At the same time, the sensing of the construction site environment picture is triggered only when the total number of employees currently staying in the target construction site is non-zero, thereby reducing unnecessary power consumption waste. BRIEF DESCRIPTION OF THE DRAWINGS
[0007] Those skilled in the art may better understand the numerous advantages of the present invention by referring to the accompanying drawings.
[0008] Figure 1 It is a structural schematic diagram of a construction safety monitoring system according to the primary embodiment of the present invention.
[0009] Figure 2 It is a structural schematic diagram of a construction safety monitoring system according to a secondary embodiment of the present invention.
[0010] Figure 3 It is a structural schematic diagram of a construction safety monitoring system according to another embodiment of the present invention. DETAILED DESCRIPTION
[0011] Primary Embodiment
[0012] Figure 1 1 is a schematic diagram of the structure of a construction safety monitoring system according to a primary embodiment of the present invention, the system comprising: The gate control mechanism is used to count the number of employees entering the target construction site and count the number of employees leaving the target construction site on that day while releasing each employee entering the target construction site to obtain the total number of employees currently staying in the target construction site; For example, the gate control mechanism is used to count the number of employees entering the target construction site and to count the number of employees leaving the target construction site on the same day while releasing each employee entering the target construction site, so as to obtain the total number of employees currently staying in the target construction site. The gate control mechanism is an electronic control switch, which is used to count the number of employees entering the target construction site and to count the number of employees leaving the target construction site on the same day while releasing each employee entering the target construction site, so as to obtain the total number of employees currently staying in the target construction site. An environment sensing mechanism, connected to the gate control mechanism, for performing a sensing action on the internal environment of the target construction site to obtain a corresponding construction site environment picture when the total number of employees currently staying in the target construction site received is non-zero; A sequential mapping mechanism, comprising a first mapping unit, a second mapping unit and a third mapping unit, wherein the second mapping unit is connected to the first mapping unit and the third mapping unit respectively, the first mapping unit is connected to the environment sensing mechanism, the first mapping unit is used to perform Butterworth low-pass filtering on the received construction site environment image to obtain and output a corresponding content filtered image, the second mapping unit is used to perform horizontal sharpening processing and vertical sharpening processing on the received content filtered image in sequence to obtain and output a corresponding direction-sharpened image, and the third mapping unit is used to perform geometric correction processing on the received direction-sharpened image to obtain and output a corresponding geometric correction image; A ratio resolution mechanism connected to the sequential mapping mechanism, used to collect the resolution of the received geometrically corrected image, the number of pixels occupied by the background image area, and the color channel values corresponding to the pixels in the geometrically corrected image, and input the binary value of the algorithm code corresponding to the current filtering algorithm, the resolution of the geometrically corrected image, the number of pixels occupied by the background image area, and the color channel values corresponding to the pixels in the geometrically corrected image into the convolutional neural network after completing multiple learning to obtain the noise reduction ratio of the output geometrically corrected image obtained by using the current filtering algorithm; A value detection mechanism, connected to the level separation mechanism, is used to compare the noise reduction ratio values corresponding to various filtering algorithms to obtain the filtering algorithm corresponding to the maximum value; A content conversion mechanism, connected to the value detection mechanism, for applying a filtering algorithm corresponding to the maximum value thereof to the geometrically corrected image to perform filtering processing, and obtaining an optimized filtered image corresponding to the geometrically corrected image; Wherein, the environment sensing mechanism is further used to stop performing the sensing action on the internal environment of the target construction site when the total number of employees currently staying in the target construction site received is zero; Among them, the gate control mechanism is used to accumulate the number of employees entering the target construction site and decrement the number of employees leaving the target construction site on that day while releasing each employee entering the target construction site to obtain the total number of employees currently remaining in the target construction site. The gate control mechanism performs zeroing processing on the total number of employees currently remaining in the target construction site in the early morning every day.
[0013] Secondary Examples
[0014] Figure 2 It is a structural schematic diagram of a construction safety monitoring system according to a secondary embodiment of the present invention.
[0015] and Figure 1 different, Figure 2 The construction safety monitoring system in the building can also include the following components: A positioning server, connected to the first mapping unit, the second mapping unit, the third mapping unit and the ratio resolution mechanism, respectively, for providing the first mapping unit, the second mapping unit, the third mapping unit and the ratio resolution mechanism with respective current instant positioning data; The positioning server is connected to the first mapping unit, the second mapping unit, the third mapping unit and the ratio resolution mechanism respectively, and is used to provide the first mapping unit, the second mapping unit, the third mapping unit and the ratio resolution mechanism with their respective current real-time positioning data, including: the positioning server includes a plurality of positioning service units, which are connected to the first mapping unit, the second mapping unit, the third mapping unit and the ratio resolution mechanism respectively, so as to complete the respective supply of the first mapping unit, the second mapping unit, the third mapping unit and the ratio resolution mechanism with their respective current real-time positioning data; Wherein, the positioning server device comprises a plurality of positioning service units, which are respectively connected with the first mapping unit, the second mapping unit, the third mapping unit and the ratio resolution mechanism to complete the respective supply of the current instant positioning data of the first mapping unit, the second mapping unit, the third mapping unit and the ratio resolution mechanism, including: the plurality of positioning service units are a plurality of positioning sensors, which are respectively connected with the first mapping unit, the second mapping unit, the third mapping unit and the ratio resolution mechanism to complete the respective supply of the current instant positioning data of the first mapping unit, the second mapping unit, the third mapping unit and the ratio resolution mechanism; The plurality of positioning service units are a plurality of positioning sensors, which are used to be connected to the first mapping unit, the second mapping unit, the third mapping unit and the ratio resolution mechanism respectively, so as to complete the supply of the current instant positioning data of the first mapping unit, the second mapping unit, the third mapping unit and the ratio resolution mechanism respectively, including: the plurality of positioning service units have the same structure; Among them, the multiple positioning service units are multiple positioning sensors, which are used to respectively connect with the first mapping unit, the second mapping unit, the third mapping unit and the ratio resolution mechanism to complete the respective supply of current real-time positioning data to the first mapping unit, the second mapping unit, the third mapping unit and the ratio resolution mechanism, and also include: the multiple positioning sensors have the same positioning range.
[0016] Again, the example
[0017] Figure 3 It is a structural schematic diagram of a construction safety monitoring system according to another embodiment of the present invention.
[0018] and Figure 1 different, Figure 3 The construction safety monitoring system in the building can also include the following components: A user control interface, connected to the first mapping unit, the second mapping unit, the third mapping unit and the plurality of positioning service units of the ratio resolution mechanism, respectively, for synchronously controlling the current working modes of the respective positioning service units of the first mapping unit, the second mapping unit, the third mapping unit and the ratio resolution mechanism; Wherein, the user control interface is respectively connected to the first mapping unit, the second mapping unit, the third mapping unit and the plurality of positioning service units of the ratio resolution mechanism, and is used to synchronously control the current working mode of the respective positioning service units of the first mapping unit, the second mapping unit, the third mapping unit and the ratio resolution mechanism, including: the current working mode of the respective positioning service units of the first mapping unit, the second mapping unit, the third mapping unit and the ratio resolution mechanism is a sleep working mode or a running working mode; Among them, the user control interface is respectively connected to the first mapping unit, the second mapping unit, the third mapping unit and multiple positioning service units of the ratio resolution mechanism, and is used to synchronously control the current working mode of the first mapping unit, the second mapping unit, the third mapping unit and the respective positioning service units of the ratio resolution mechanism, including: the first mapping unit, the second mapping unit, the third mapping unit and multiple positioning service units of the ratio resolution mechanism are all based on the Beidou positioning mechanism.
[0019] In addition, in the construction safety monitoring system, the binary value of the algorithm code corresponding to the current filtering algorithm, the resolution of the geometrically corrected image, the number of pixels occupied by the background image area, and the color channel values corresponding to each pixel in the geometrically corrected image are input into the convolutional neural network after completing multiple learning to obtain the output of the geometrically corrected image, the noise reduction ratio value obtained by using the current filtering algorithm, including: using a numerical conversion function to represent the numerical correspondence between the binary value of the algorithm code corresponding to the current filtering algorithm, the resolution of the geometrically corrected image, the number of pixels occupied by the background image area, and the color channel values corresponding to each pixel in the geometrically corrected image, and input into the convolutional neural network after completing multiple learning to obtain the output of the noise reduction ratio value obtained by using the current filtering algorithm.
[0020] Therefore, it can be seen from the above embodiments that the present invention has at least the following key inventive concepts: Firstly, the resolution of the received geometric correction image, the number of pixels occupied by the background image area, and the values of each color channel corresponding to each pixel in the geometric correction image are collected to obtain reliable data for performing subsequent filtering effect analysis; Secondly: the binary value of the algorithm code corresponding to the current filtering algorithm, the resolution of the geometrically corrected image, the number of pixels occupied by the background image area, and the color channel values corresponding to each pixel in the geometrically corrected image are input into the convolutional neural network after completing multiple learning to obtain the output of the geometrically corrected image using the current filtering algorithm to obtain the noise reduction ratio value, thereby completing the analysis of the filtering effect of each filtering algorithm on the geometrically corrected image; Thirdly: the noise reduction ratio values corresponding to various filtering algorithms are compared to obtain the filtering algorithm corresponding to the maximum value, and the filtering algorithm corresponding to the maximum value is applied to the geometrically corrected image to perform filtering processing to obtain an optimized filtered image corresponding to the geometrically corrected image, thereby achieving the best filtering effect for the geometrically corrected image; Finally: only when the total number of employees currently staying in the target construction site is non-zero, the environment sensing mechanism is triggered to perform the sensing action on the internal environment of the target construction site to obtain the corresponding construction site environment picture, thereby reducing unnecessary power consumption waste.
[0021] In addition, the present invention can also be applied to a system composed of multiple devices (such as a host, an interface device, a reader, a printer, etc.), and can also be applied to an apparatus composed of one device. The present invention is not limited to the above-mentioned embodiments, and various changes and modifications can be made within the scope of the present invention. Therefore, in order to clarify the scope of the present invention, corresponding claims are applied.
Claims
1. A construction safety monitoring system, characterized in that: The system comprises: The gate control mechanism is used to count the number of employees entering the target construction site and count the number of employees leaving the target construction site on that day while releasing each employee entering the target construction site to obtain the total number of employees currently staying in the target construction site; An environment sensing mechanism, connected to the gate control mechanism, for performing a sensing action on the internal environment of the target construction site to obtain a corresponding construction site environment picture when the total number of employees currently staying in the target construction site received is non-zero; A sequential mapping mechanism, comprising a first mapping unit, a second mapping unit and a third mapping unit, wherein the second mapping unit is connected to the first mapping unit and the third mapping unit respectively, the first mapping unit is connected to the environment sensing mechanism, the first mapping unit is used to perform Butterworth low-pass filtering on the received construction site environment image to obtain and output a corresponding content filtered image, the second mapping unit is used to perform horizontal sharpening processing and vertical sharpening processing on the received content filtered image in sequence to obtain and output a corresponding direction-sharpened image, and the third mapping unit is used to perform geometric correction processing on the received direction-sharpened image to obtain and output a corresponding geometric correction image; A ratio resolution mechanism connected to the sequential mapping mechanism, used to collect the resolution of the received geometrically corrected image, the number of pixels occupied by the background image area, and the color channel values corresponding to the pixels in the geometrically corrected image, and input the binary value of the algorithm code corresponding to the current filtering algorithm, the resolution of the geometrically corrected image, the number of pixels occupied by the background image area, and the color channel values corresponding to the pixels in the geometrically corrected image into the convolutional neural network after completing multiple learning to obtain the noise reduction ratio of the output geometrically corrected image obtained by using the current filtering algorithm; A value detection mechanism, connected to the level separation mechanism, is used to compare the noise reduction ratio values corresponding to various filtering algorithms to obtain the filtering algorithm corresponding to the maximum value; The content conversion mechanism is connected to the numerical detection mechanism and is used to apply the filtering algorithm corresponding to the maximum value therein to the geometrically corrected image to perform filtering processing and obtain an optimized filtered image corresponding to the geometrically corrected image.
2. The construction safety monitoring system according to claim 1, characterized in that: The environment sensing mechanism is also used to stop performing the sensing action on the internal environment of the target construction site when the total number of employees currently staying in the target construction site is zero; Among them, the gate control mechanism is used to accumulate the number of employees entering the target construction site and decrement the number of employees leaving the target construction site on that day while releasing each employee entering the target construction site to obtain the total number of employees currently remaining in the target construction site. The gate control mechanism performs zeroing processing on the total number of employees currently remaining in the target construction site in the early morning every day.
3. The construction safety monitoring system according to claim 2, characterized in that: The system further comprises: A positioning server, connected to the first mapping unit, the second mapping unit, the third mapping unit and the ratio resolution mechanism, respectively, for providing the first mapping unit, the second mapping unit, the third mapping unit and the ratio resolution mechanism with respective current instant positioning data; Among them, the positioning server device is respectively connected to the first mapping unit, the second mapping unit, the third mapping unit and the ratio resolution mechanism, and is used to provide the first mapping unit, the second mapping unit, the third mapping unit and the ratio resolution mechanism with their respective current real-time positioning data, including: the positioning server device includes multiple positioning service units, which are respectively connected to the first mapping unit, the second mapping unit, the third mapping unit and the ratio resolution mechanism to complete the respective supply of current real-time positioning data to the first mapping unit, the second mapping unit, the third mapping unit and the ratio resolution mechanism.
4. The construction safety monitoring system according to claim 3, characterized in that: The positioning server device includes multiple positioning service units, which are used to connect with the first mapping unit, the second mapping unit, the third mapping unit and the ratio resolution mechanism respectively, so as to complete the respective supply of current real-time positioning data to the first mapping unit, the second mapping unit, the third mapping unit and the ratio resolution mechanism respectively, including: the multiple positioning service units are multiple positioning sensors, which are used to connect with the first mapping unit, the second mapping unit, the third mapping unit and the ratio resolution mechanism respectively, so as to complete the respective supply of current real-time positioning data to the first mapping unit, the second mapping unit, the third mapping unit and the ratio resolution mechanism respectively.
5. The construction safety monitoring system according to claim 4, characterized in that: The multiple positioning service units are multiple positioning sensors, which are used to be connected to the first mapping unit, the second mapping unit, the third mapping unit and the ratio resolution mechanism respectively, so as to complete the respective supply of current instant positioning data to the first mapping unit, the second mapping unit, the third mapping unit and the ratio resolution mechanism, including: the structures of the multiple positioning service units are the same.
6. The construction safety monitoring system according to claim 5, characterized in that: The multiple positioning service units are multiple positioning sensors, which are used to be connected to the first mapping unit, the second mapping unit, the third mapping unit and the ratio resolution mechanism respectively, so as to complete the respective supply of current instant positioning data to the first mapping unit, the second mapping unit, the third mapping unit and the ratio resolution mechanism, and also include: the multiple positioning sensors have the same positioning range.
7. The construction safety monitoring system according to any one of claims 3 to 6, characterized in that: The system further comprises: A user control interface is respectively connected to the first mapping unit, the second mapping unit, the third mapping unit and multiple positioning service units of the ratio resolution mechanism, and is used to synchronously control the current working mode of the respective positioning service units of the first mapping unit, the second mapping unit, the third mapping unit and the ratio resolution mechanism.
8. The construction safety monitoring system according to claim 7, characterized in that: A user control interface is respectively connected to the first mapping unit, the second mapping unit, the third mapping unit and multiple positioning service units of the ratio resolution mechanism, and is used to synchronously control the current working mode of the first mapping unit, the second mapping unit, the third mapping unit and the respective positioning service units of the ratio resolution mechanism, including: the current working mode of the first mapping unit, the second mapping unit, the third mapping unit and the respective positioning service units of the ratio resolution mechanism is a sleep working mode or a running working mode.
9. The construction safety monitoring system according to claim 7, characterized in that: A user control interface is respectively connected to the first mapping unit, the second mapping unit, the third mapping unit and multiple positioning service units of the ratio resolution mechanism, and is used to synchronously control the current working modes of the first mapping unit, the second mapping unit, the third mapping unit and the respective positioning service units of the ratio resolution mechanism, including: the first mapping unit, the second mapping unit, the third mapping unit and multiple positioning service units of the ratio resolution mechanism are all based on the Beidou positioning mechanism.
Citation Information
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