CN115695727A - Basket unsafe behavior monitoring system based on edge calculation and monitoring method thereof - Google Patents
Basket unsafe behavior monitoring system based on edge calculation and monitoring method thereof Download PDFInfo
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Abstract
The invention discloses a basket unsafe behavior monitoring system based on edge calculation and a monitoring method thereof.A server side monitors the number and the behavior of constructors or operators in baskets of a plurality of construction baskets through a plurality of monitoring devices at the same time, and generates early warning and alarm signals to warn the constructors when the constructors in the construction baskets are overtaken or overtake the outer frame of the baskets, so that project managers can be helped to better perform more comprehensive safety management on the construction baskets operated at high altitude, and safety accidents caused by irregular construction basket operation are prevented. The invention solves the problems that the construction hanging basket on the construction site is large in quantity, few in safety management personnel and difficult to take the internal condition of the construction hanging basket into account.
Description
Technical Field
The invention relates to the technical field of building construction, in particular to a basket unsafe behavior monitoring system based on edge calculation and a monitoring method thereof.
Background
Safety management is an important component of construction project management. The emergence sometimes when the eminence falls the accident, but each project has following problem to the safety control of construction hanging flower basket today:
(1) The hanging baskets are large in number and difficult to effectively manage. In general construction projects, dozens of construction baskets are usually operated at the same time, and the safety management personnel responsible for the whole project are usually less than 5 persons. The hanging flower basket is many, and managers are few, and hanging flower basket safety control is difficult to be in the face of.
(2) External management is emphasized, and internal management lacks a method. Nowadays, safety management of a hanging basket is mainly focused on the outside, such as equipment safety inspection, counterweight inspection, power supply inspection and the like, the management focuses on the unsafe state of preventatives, but effective means for safety management in the outer frame of the hanging basket, namely unsafe behaviors of preventatives are lacked, and the behaviors of constructors in the hanging basket are difficult to see clearly no matter whether safety managers are used for on-site inspection or monitoring through various cameras.
The information disclosed in this background section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art that is already known to a person skilled in the art.
Disclosure of Invention
In order to overcome the defects in the prior art, a basket unsafe behavior monitoring system based on edge calculation and a monitoring method thereof are provided so as to solve the problems that the construction baskets are large in quantity and few in safety management personnel in a construction site, and the internal conditions of the construction baskets are difficult to take into account.
In order to achieve the above object, there is provided a basket unsafe behavior monitoring system based on edge calculation, including:
the monitoring equipment comprises a collecting device, an alarming device and a first control module, wherein the collecting device is used for collecting real-time images of construction hanging baskets, the alarming device and the first control module are respectively connected to the first control module, the collecting device is erected above the construction hanging baskets, and the alarming device is installed on the construction hanging baskets;
the server comprises a second control module in signal connection with the first control module, a first identification module for identifying a working area in a construction hanging basket range in the real-time image, a second identification module for identifying a personnel image in the working area and obtaining the number of real-time people, a first judgment module for judging whether the number of real-time people is greater than the preset number of people and generating an early warning signal when the number of real-time people is greater than the preset number of people, and a second judgment module for judging whether the center of the bottom of the personnel image exceeds the working area or not based on the position of the personnel image in the working area and generating an alarm signal when the center of the bottom of the personnel image exceeds the working area, wherein the first identification module is connected with the second control module, the second identification module is connected with the first identification module, the first judgment module and the second judgment module are respectively connected with the second identification module, and the second control module sends the early warning signal and/or the alarm signal to the outside to enable the alarm device.
Furthermore, the upper frame opening of the construction hanging basket is rectangular, the collecting device is arranged at one end of the upper frame opening, and the collecting device faces the other end of the upper frame opening.
Further, the acquisition device is a camera or a camera.
Further, the alarm device comprises a controller and a loudspeaker, wherein the controller is connected to the first control module, and the loudspeaker is connected to the controller.
Furthermore, the alarm device further comprises an alarm lamp, and the alarm lamp is connected to the controller.
Further, the monitoring equipment further comprises a battery pack, and the battery pack is connected to the acquisition device and the alarm device.
The invention provides a monitoring method of a hanging basket unsafe behavior monitoring system based on edge calculation, which comprises the following steps:
the acquisition devices of the monitoring equipment respectively acquire real-time images of the construction hanging baskets;
a first control module of the monitoring equipment acquires the real-time image and sends the real-time image to the outside;
a second control module of the server receives real-time images of a plurality of monitoring devices;
a first identification module of the server identifies a working area within the range of the construction hanging basket in the real-time image;
a second identification module of the server identifies personnel images in the working area and obtains the number of real-time personnel;
the first judging module of the server judges whether the number of the real-time people is larger than the preset number of people or not based on the preset number of people, and generates an early warning signal when the number of the real-time people is larger than the preset number of people;
the second judgment module of the server judges whether the center of the bottom of the personnel image exceeds the working area or not based on the position of the personnel image in the working area, and generates an alarm signal when the center of the bottom of the personnel image exceeds the working area;
the second control module acquires and sends the early warning signal and/or the alarm signal to the outside;
the first control module receives the early warning signal and/or the alarm signal and starts the alarm device.
Further, the last frame mouth of construction hanging flower basket is the rectangle, collection system set up in the one end of last frame mouth, the first identification module of server side discerns the work area's in the construction hanging flower basket within range step in the real-time image includes:
establishing a right-hand Cartesian coordinate system by taking the upper left corner of the real-time image as an origin, wherein the X axis of the right-hand Cartesian coordinate system extends downwards, and the Y axis of the right-hand Cartesian coordinate system extends rightwards;
determining three boundary straight lines of the working area and an analytical equation of the boundary straight lines in the right-hand Cartesian coordinate system;
and calculating to obtain coordinates of centroids of three crossed boundary straight lines to divide the real-time image into a plurality of regions, and determining the region where the centroid with the maximum X-axis coordinate axis is located as the working region.
The basket unsafe behavior monitoring system based on edge calculation and the monitoring method thereof have the advantages that the number and the behaviors of constructors or operators in baskets of a plurality of construction baskets are monitored through a plurality of monitoring devices at the same time through the server, and when the constructors in the construction baskets are overtaken or cross over the outer frame of the baskets, early warning and alarming signals are generated to warn the constructors, so that project managers can be helped to better perform more comprehensive safety management on the construction baskets operated at high altitude, and safety accidents caused by irregular basket construction operations are prevented.
Drawings
Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
fig. 1 is a schematic block diagram of a basket unsafe behavior monitoring system based on edge calculation according to an embodiment of the present invention.
Fig. 2 is a schematic view of an installation position of the collecting device according to the embodiment of the present invention.
FIG. 3 is a schematic diagram of identified work areas of an embodiment of the present invention.
FIG. 4 is a schematic diagram of a boundary line according to an embodiment of the present invention.
Fig. 5 and 6 are schematic diagrams of manually confirming a boundary straight line according to an embodiment of the present invention.
FIG. 7 is a diagram illustrating determining a set of points according to an embodiment of the present invention.
FIG. 8 is a layout diagram of the locations of centroids of calculated multiple regions according to an embodiment of the invention.
FIG. 9 is a diagram illustrating an example of identifying and determining unsafe behavior of a human image according to an embodiment of the present invention.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not to be construed as limiting the invention. It should be noted that, for convenience of description, only the portions related to the present invention are shown in the drawings.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Referring to fig. 1 to 9, the present invention provides an edge calculation-based basket unsafe behavior monitoring system, including: a plurality of monitoring devices 1 and a server 2.
Wherein each monitoring device 1 comprises acquisition means 12, alarm means 13 and a first control module 11. The acquisition device 12 and the alarm device 13 are respectively connected to the first control module 11. The collecting device 12 is erected above the construction basket 3. The alarm device 13 is mounted on the construction basket 3.
The acquisition device 12 is used for acquiring real-time images of the construction basket 3. The alarm device 13 is used for starting acousto-optic alarm or early warning under the control of the first control module.
In this embodiment, the constructed gondola is in the shape of a rectangular parallelepiped. The upper frame opening of the hanging basket is rectangular. The upper rim opening of the basket has a first short side and a second short side in the length direction thereof, and also has a first long side and a second long side in the width direction thereof.
Preferably, the capturing device 12 is a camera or a video camera. Specifically, in the present embodiment, referring to fig. 2, the collecting device 12 is disposed at one end (i.e. the first short side) of the upper bezel. The pickup unit 12 is disposed toward the other end (i.e., the second short side) of the upper bezel.
Specifically, in this embodiment, the collecting device is a camera. The camera is fixedly arranged on a first short edge of an upper frame opening of the construction hanging basket through a support. When in work, the visual field of the camera can
The range enclosed by the upper frame opening of most construction hanging baskets is covered, namely, the range can meet the requirement that personnel in the hanging baskets cannot detect by mistake. Meanwhile, the pictures shot by the camera and the recorded videos have considerable definition, namely, the detection requirements of a common target detection algorithm are met.
In the present embodiment, the alarm device 13 includes a controller, a speaker, and a battery pack. Wherein the controller of the alarm device is connected to the first control module 11. The loudspeaker and the alarm lamp of the alarm device are connected to the controller. The battery pack is connected to the acquisition device 12 and the alarm device 13.
Referring to fig. 1, the server 2 includes a second control module 21, a first identification module 22, a second identification module 23, a first determination module 24, and a second determination module 25.
The second control module 21 is connected to the first control modules 11 of the plurality of monitoring devices through wireless signals. The first identification module 22 is connected to the second control module. The second recognition module 23 is connected to the first recognition module 22. The first determination module 24 and the second determination module 25 are respectively connected to the second identification module 23. The second control module 21 sends the warning signal and/or the warning signal to the outside after receiving the warning signal so as to enable the first control module 11 to start the warning device 13.
The first identification module 22 is used to identify the work area 4 within the construction basket 3 in the real-time image.
The second recognition module 23 is used for recognizing the person image 51 in the work area 4 and obtaining the number of persons in real time.
The first determination module 24 is configured to determine whether the real-time number is greater than the preset number based on the preset number and generate an early warning signal when the real-time number is greater than the preset number.
The second determination module 25 is configured to determine whether the center 50 of the bottom of the person image 51 exceeds the work area 4 based on the position of the person image 51 in the work area 4, and generate an alarm signal when the center of the bottom of the person image 51 exceeds the work area 4.
The first control module starts the alarm device to perform sound-light alarm or early warning based on the alarm signal.
The invention also provides a monitoring method of the basket unsafe behavior monitoring system based on edge calculation, which comprises the following steps:
s1: the acquisition devices 12 of the plurality of monitoring apparatuses 1 respectively acquire real-time images of the plurality of construction baskets 3.
S2: the first control module 11 of the monitoring device 1 acquires the real-time image and transmits the real-time image to the outside.
S3: the second control module 21 of the server 2 receives real-time images of a plurality of monitoring devices 1.
S4: the first identification module 22 of the service end 2 identifies the working area 4 within the construction basket 3 in the real-time image.
The detection working area is defined to include but not exceed the range of the upper frame opening of the construction hanging basket. The operation of determining the working area can be determined automatically by computer vision correlation techniques or manually.
When the working area is automatically determined, the step of identifying the working area 4 within the range of the construction basket 3 in the real-time image by the first identification module 22 of the server 2 comprises the following steps:
s41: and establishing a right-hand Cartesian coordinate system O by taking the upper left corner of the real-time image as an origin, wherein the X axis of the right-hand Cartesian coordinate system extends downwards, and the Y axis of the right-hand Cartesian coordinate system extends rightwards.
S42: three boundary lines of the working area 4 and the analytical equation of the boundary lines are determined in a right-hand cartesian coordinate system.
Referring to fig. 4, the zone boundary line and line equation is automatically determined. The method comprises the steps of identifying center lines of the top surfaces of three hanging basket frames in the visual field range of a camera, linearly fitting the three center lines into three straight lines (namely a fitting straight line 41, a fitting straight line 42 and a fitting straight line 43) respectively, and determining three area boundary straight lines and an analytic equation of the three straight lines in a coordinate system O.
Referring to fig. 5 and 6, any two points of the center line of the top surface of the basket frame at three positions in the visual field range of the camera are manually determined, the two points form a straight line, and three area boundary straight lines (i.e., a fitting straight line 41, a fitting straight line 42 and a fitting straight line 43) and an analytical equation of the three straight lines in the coordinate system O are determined.
The analytical equations of three straight lines including the fitted straight line 41, the fitted straight line 42, and the fitted straight line 43 are assumed to be f 1 (x,y)＝0、f 2 (x,y)＝0、f 3 (x,y)＝0。
Referring to fig. 7, a step of determining a set of points of a plurality of regions. Setting 8 sets, wherein 8 set names and set conditions are respectively as follows: a = { (x, y) | f 1 (x,y)<0,f 2 (x,y)<0,f 3 (x,y)<0}，
B＝{(x,y)|f 1 (x,y)>0,f 2 (x,y)<0,f 3 (x,y)<0}，
C＝{(x,y)|f 1 (x,y)<0,f 2 (x,y)>0,f 3 (x,y)<0}，
D＝{(x,y)|f 1 (x,y)>0,f 2 (x,y)>0,f 3 (x,y)<0}，
E＝{(x,y)|f 1 (x,y)<0,f 2 (x,y)<0,f 3 (x,y)>0}，
F＝{(x,y)|f 1 (x,y)>0,f 2 (x,y)<0,f 3 (x,y)>0}，
G＝{(x,y)|f 1 (x,y)<0,f 2 (x,y)>0,f 3 (x,y)>0}，
H＝{(x,y)|f 1 (x,y)>0,f 2 (x,y)>0,f 3 (x,y)>0}。
And dividing each pixel point in the visual field range into the set according to the set condition.
S43: and calculating to obtain coordinates of centroids of three crossed boundary straight lines to divide the real-time image into a plurality of regions, and determining the region where the centroid with the maximum X-axis coordinate axis is located as a working region 4.
The upper frame opening area of the hanging basket is arranged right below the visual field of the camera. According to the related theory of perspective, two frames (a first long edge and a second long edge) of the hanging basket positioned at two sides of the camera form two oblique lines, so that the lower part of the area of an upper frame opening of the hanging basket is large, and the upper part of the area is small. Based on the centroid coordinates of the areas calculated in step S42, referring to fig. 8, the centroid coordinates of the areas are compared with the coordinate value of the X axis, and the area corresponding to the centroid with the largest X axis coordinate value is the area (i.e., the working area) of the top rim of the basket.
S5: the second recognition module 23 of the server 2 recognizes the person image 51 in the work area 4 and obtains the number of persons in real time.
S6: the first determination module 24 of the server 2 determines whether the number of the real-time people is greater than the preset number of people based on the preset number of people, and generates an early warning signal when the number of the real-time people is greater than the preset number of people.
In this embodiment, the unsafe behavior in the gondola comprises an excessive operator behavior detection in the gondola and a crossing over behavior detection by the constructor.
And when detecting whether the operators in the construction hanging basket exceed the operators, the number of people in the target range is detected according to the training reasoning of the number of people detection model. And (3) giving the labeled data set for training, so that the boundary box range of different personnel in the target range can be defined, and different personnel give different id. The method can realize the identification of the same person in different angles within a target range, and the same person is given the same id. Comparing the number of the boundary frames id in the target range with the upper limit of the number of the specified personnel, and when the number of the id is equal to the number of the specified personnel, not performing early warning operation; and when the number of the ids is not equal to the number of the specified personnel, generating an early warning signal. When the personnel in the hanging basket are detected to be out of range, the subsequent alarm actions of the alarm device comprise broadcast early warning without sound and remote telephone information early warning.
S7: the second determination module 25 of the server 2 determines whether the center of the bottom of the person image 51 exceeds the work area 4 based on the position of the person image 51 in the work area 4, and generates an alarm signal when the center of the bottom of the person image 51 exceeds the work area 4.
Referring to fig. 9, for the behavior detection of the operator crossing the gondola, it is determined whether the behavior of the operator crossing the outer frame of the gondola occurs by detecting whether the midpoint of the lower edge of the human image bounding box is within the identified working area range.
And when the midpoint of the lower edge of the boundary frame of the personnel image of the construction or operation personnel is outside the working area, judging that the behavior that the construction personnel cross the hanging basket occurs in the hanging basket, and generating an alarm signal.
S8: the second control module 21 acquires the early warning signal and/or the alarm signal and sends the early warning signal and/or the alarm signal to the outside.
S9: the first control module 11 receives the early warning signal and/or the alarm signal and turns on the alarm device 13.
The invention relates to a basket unsafe behavior monitoring system based on edge calculation and a monitoring method thereof.A server side monitors the number and the behavior of constructors or operators in baskets of a plurality of construction baskets through a plurality of monitoring devices at the same time, and generates early warning and alarm signals to warn the constructors when the constructors in the construction baskets are overtaken or over the outer frame of the baskets, so that project managers can be helped to better carry out more comprehensive safety management on construction baskets operated at high altitude, and safety accidents caused by irregular construction basket operation are prevented.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by a person skilled in the art that the scope of the invention as referred to in the present application is not limited to the embodiments with a specific combination of the above-mentioned features, but also covers other embodiments with any combination of the above-mentioned features or their equivalents without departing from the inventive concept. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.
Claims (8)
1. An edge calculation-based basket unsafe behavior monitoring system is characterized by comprising:
the monitoring equipment comprises a collecting device, an alarming device and a first control module, wherein the collecting device is used for collecting real-time images of construction hanging baskets, the alarming device and the first control module are respectively connected to the first control module, the collecting device is erected above the construction hanging baskets, and the alarming device is installed on the construction hanging baskets;
the server comprises a second control module in signal connection with the first control module, a first identification module for identifying a working area in a construction hanging basket range in the real-time image, a second identification module for identifying a personnel image in the working area and obtaining the number of real-time people, a first judgment module for judging whether the number of real-time people is greater than the preset number of people and generating an early warning signal when the number of real-time people is greater than the preset number of people, and a second judgment module for judging whether the center of the bottom of the personnel image exceeds the working area or not based on the position of the personnel image in the working area and generating an alarm signal when the center of the bottom of the personnel image exceeds the working area, wherein the first identification module is connected with the second control module, the second identification module is connected with the first identification module, the first judgment module and the second judgment module are respectively connected with the second identification module, and the second control module sends the early warning signal and/or the alarm signal to the outside to enable the alarm device.
2. The basket unsafe behavior monitoring system based on edge calculation as claimed in claim 1, wherein an upper frame opening of the construction basket is rectangular, the collecting device is arranged at one end of the upper frame opening, and the collecting device is arranged towards the other end of the upper frame opening.
3. An edge computing based basket unsafe behavior monitoring system as claimed in claim 2, wherein the collecting means is a camera or a video camera.
4. The basket unsafe behavior monitoring system based on edge calculation of claim 1, wherein the alarm device comprises a controller and a speaker, the controller is connected to the first control module, and the speaker is connected to the controller.
5. An edge computing based basket unsafe behaviour monitoring system according to claim 4, characterized in that said alarm device further comprises an alarm lamp, said alarm lamp being connected to said controller.
6. The basket unsafe behavior monitoring system based on edge calculation as claimed in claim 1, wherein the monitoring device further comprises a battery pack, the battery pack is connected to the collecting device and the alarm device.
7. A monitoring method of an edge calculation based basket unsafe behavior monitoring system according to any one of claims 1 to 6, comprising the following steps:
the acquisition devices of the monitoring equipment respectively acquire real-time images of the construction hanging baskets;
a first control module of the monitoring equipment acquires the real-time image and sends the real-time image to the outside;
a second control module of the server receives real-time images of a plurality of monitoring devices;
a first identification module of the server identifies a working area within the range of the construction hanging basket in the real-time image;
a second identification module of the server identifies the personnel images in the working area and obtains the number of real-time personnel;
the first judging module of the server judges whether the number of the real-time people is greater than the preset number of people or not based on the preset number of people, and generates an early warning signal when the number of the real-time people is greater than the preset number of people;
the second judging module of the server judges whether the center of the bottom of the personnel image exceeds the working area or not based on the position of the personnel image in the working area, and generates an alarm signal when the center of the bottom of the personnel image exceeds the working area;
the second control module acquires and sends the early warning signal and/or the alarm signal to the outside;
the first control module receives the early warning signal and/or the alarm signal and starts the alarm device.
8. The monitoring method according to claim 7, wherein an upper frame opening of the construction basket is rectangular, the collecting device is arranged at one end of the upper frame opening, and the step of identifying the working area within the range of the construction basket in the real-time image by the first identification module at the service end comprises the following steps:
establishing a right-hand Cartesian coordinate system by taking the upper left corner of the real-time image as an origin, wherein the X axis of the right-hand Cartesian coordinate system extends downwards, and the Y axis of the right-hand Cartesian coordinate system extends to the right;
determining three boundary straight lines of the working area and an analytical equation of the boundary straight lines in the right-hand Cartesian coordinate system;
and calculating to obtain coordinates of centroids of three crossed boundary straight lines to divide the real-time image into a plurality of regions, and determining the region where the centroid with the maximum X-axis coordinate axis is located as the working region.
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