CN114821373B - Intelligent supervision, monitoring, analysis and early warning system for safety of construction site of foundation project engineering - Google Patents
Intelligent supervision, monitoring, analysis and early warning system for safety of construction site of foundation project engineering Download PDFInfo
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- G06V20/10—Terrestrial scenes
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
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- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
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- G06V10/40—Extraction of image or video features
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
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- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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- G06V40/20—Movements or behaviour, e.g. gesture recognition
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Abstract
The invention discloses a construction site safety intelligent supervision monitoring analysis early warning system for a construction site project, which comprises a material detection area module, a material image acquisition module, a material image processing and analyzing module, a personnel image preliminary acquisition module, a personnel image preliminary processing module, a personnel posture image acquisition module, a personnel posture image processing and analyzing module, a personnel information database and an early warning terminal.
Description
Technical Field
The invention belongs to the field of construction site supervision and supervision, and relates to a construction site safety intelligent supervision, monitoring, analysis and early warning system for a foundation project engineering.
Background
In recent years, with the continuous rapid development of the building industry, the occurrence frequency of building construction safety accidents is also continuously improved, so that people pay more and more attention to the safety problem of the construction site, and the importance of safety monitoring of the construction site is self-evident under the background.
The present safety monitoring on the construction site is mainly used for monitoring the safety of the overhead operation in the construction site, for example, the corresponding operation gesture of the overhead operation personnel is monitored, and obviously, the present technology has the following problems:
1. in the prior art, cameras are mainly arranged in a construction area to carry out real-time video recording on the outer wall of a building body, workers observe the front of a monitoring picture in a manual mode, and then locate dangerous personnel and early warn the dangerous personnel, and the manual monitoring and early warning mode needs to consume a great deal of labor cost, and cannot realize real-time monitoring on the safety of a construction site in a manual monitoring mode, so that the early warning efficiency is poor;
2. the current monitoring mode for the safety monitoring of the construction area belongs to a fixed visual angle, a monitoring blind area exists, the corresponding operation state of an operator in the construction site cannot be truly reflected, and further the safety accident of the construction site cannot be effectively prevented;
3. The high altitude weighbridge is a comparatively frequent incident in the construction site always, does not have at present to the condition of placing of material in the construction site monitor, and then can't reduce the risk of high altitude weighbridge in the construction site to can't ensure constructor's safety in the construction site, also can't reduce the loss of construction material simultaneously.
In order to solve the problems, the intelligent supervision, monitoring, analysis and early warning system for the safety of the construction site of the foundation project engineering is designed.
Disclosure of Invention
In view of the above, a system for intelligent supervision, monitoring, analysis and early warning of the safety of the construction site of the foundation project engineering is provided.
The invention provides a construction site safety intelligent supervision, monitoring, analysis and early warning system for a foundation project, which comprises a material detection area dividing module, a material image acquisition module, a material image processing and analyzing module, a personnel image preliminary acquisition module, a personnel image preliminary processing module, a personnel posture image acquisition module, a personnel posture image processing and analyzing module, a personnel information database and an early warning terminal.
The material detection area dividing module is used for acquiring the positions of the placement areas corresponding to the materials in the designated engineering construction site, dividing the designated engineering construction site into detection areas according to the positions of the placement areas corresponding to the materials, numbering the detection areas according to a preset sequence, and marking the detection areas as 1,2, i, n;
The material image acquisition module is used for acquiring overlook images and forward-looking images corresponding to the materials in each detection area through the unmanned aerial vehicle, so as to obtain overlook images and forward-looking images corresponding to the materials in each detection area;
the material image processing and analyzing module is used for carrying out noise reduction and filtering processing on the overlook image and the forward-looking image corresponding to the material in each detection area, further analyzing the overlook image and the forward-looking image corresponding to the processed material in each detection area to obtain comprehensive safety influence coefficients of the placement positions corresponding to the material in each detection area, comparing the comprehensive safety influence coefficients of the placement positions corresponding to the material in each detection area with preset early warning material placement safety influence coefficients, judging that the placement state corresponding to the material in a certain detection area is dangerous state if the comprehensive safety influence coefficients of the placement positions corresponding to the material in the certain detection area are larger than or equal to the preset early warning material placement safety influence coefficients, otherwise judging that the placement state corresponding to the material in the detection area is safe state, recording the material in the detection area as dangerous placement material if the placement state corresponding to the material in the certain detection area is dangerous state, counting the number of the dangerous placement material, acquiring the numbers corresponding to the detection areas where the dangerous placement materials are located, and sending the numbers to the early warning terminal;
The personnel image preliminary acquisition module is used for acquiring images of all operators in the designated engineering construction site through the unmanned aerial vehicle and transmitting the acquired images corresponding to all the operators to the personnel image preliminary processing module;
the personnel image preliminary processing module is used for carrying out noise reduction and filtering processing on images corresponding to all operators, identifying the current corresponding operation area position of each operator from the processed images corresponding to all operators, carrying out matching comparison on the operation area position corresponding to each operator and the operation area position corresponding to each construction type stored in the personnel information database, screening to obtain the construction type corresponding to each operator, further extracting the number of operators corresponding to the outdoor high-altitude construction type from the construction type, marking the operators corresponding to the outdoor high-altitude construction type as target operators, numbering each target operator, and sequentially marking the positions as 1, 2.
The personnel posture image acquisition module is used for controlling the unmanned aerial vehicle to acquire an integral posture image and a local posture image corresponding to each target operating personnel according to the position of the operating area corresponding to each target operating personnel;
The personnel posture image processing and analyzing module is used for carrying out noise reduction and filtering processing on the integral posture image and the local posture image corresponding to each target operator, analyzing the processed integral posture image and the processed local posture image corresponding to each target operator to obtain comprehensive safety posture influence coefficients corresponding to each target operator, comparing the comprehensive operation posture safety influence coefficients corresponding to each target operator with preset early warning operation posture safety influence coefficients, judging that the operation state corresponding to a certain target operator is a dangerous state if the comprehensive operation posture safety influence coefficient corresponding to the certain target operator is greater than or equal to the preset early warning operation posture safety influence coefficient, otherwise judging that the operation state corresponding to the target operator is a safe state, and sending the number corresponding to the target operator to the early warning terminal if the operation state corresponding to the certain target operator is a dangerous state;
the personnel information database is used for storing dangerous action characteristics corresponding to each operator and the position of an operation area corresponding to each construction type;
the early warning terminal is used for receiving the numbers corresponding to the detection areas where the dangerous placed materials are located and corresponding to the dangerous placed materials sent by the material image processing and analyzing module, receiving the numbers corresponding to the target operators in the dangerous state and sent by the personnel gesture image processing and analyzing module, and carrying out early warning prompt.
Further, the root in the material image processing and analyzing module analyzes the overlook image corresponding to the processed material in each detection area, and the specific steps are as follows:
according to the processed overlook images corresponding to the materials in the detection areas, the areas corresponding to the materials in the detection areas are obtained based on the outlines corresponding to the materials and are recorded as S i I represents a number corresponding to each detection area, i=1, 2,..;
positioning the outline corresponding to the overlapping area between the material and the placement position of the material from the processed overlook image corresponding to the material in each detection area, further obtaining the area corresponding to the overlapping area between the material and the placement position of the material in each detection area, marking the area as the area of the overlapping area of the material, and marking the area as S i ′；
Positioning the outline corresponding to the material placement area from the processed overlook image corresponding to the material in each detection area, further obtaining the area corresponding to the material placement area in each detection area, and marking as S i ″；
Substituting the corresponding area, the overlapping area and the placing area of the materials in each detection area into a calculation formulaObtaining the area safety coefficient of the material placement area in each detection area, wherein a is as follows 1 ,a 2 Respectively representing the correction coefficients corresponding to the set material overlapping area ratio and the placement area ratio; and a 1 +a 2 =1, κ is the preset material reference overlap area ratio, and κ' is the preset material reference placement area ratio.
Further, the front view image corresponding to the processed material in each detection area is analyzed in the material image processing and analyzing module, and the specific steps are as follows:
extracting the outline corresponding to the material from the processed front view image corresponding to the material in each detection area, and acquiring each material end based on the outline corresponding to the material in each detection areaThe position corresponding to the point is selected at will, a material endpoint is selected from the position, the material endpoint is marked as a target reference point, a horizontal reference line is built based on the target reference point, the included angle between the material in each detection area and the horizontal reference line is obtained, the included angle is marked as a material placement inclined angle, and the included angle is marked as theta i Wherein 0.ltoreq.θ i Substituting the corresponding material placement inclination angles in all detection areas into a calculation formula at an angle of less than or equal to 90 DEGAnd obtaining the material placement gradient safety coefficient of each detection area, wherein theta' is expressed as a preset allowable material placement gradient angle.
Further, the specific calculation formula of the comprehensive safety influence coefficient of the placement position corresponding to the material in each detection area in the material image processing and analyzing module is as followsWherein b 1 ，b 2 The areas of the set material placement areas are safe, the material placement inclination angles are safe corresponding correction coefficients, and b 1 +b 2 =1, e is a natural constant.
Further, the construction types include indoor construction, outdoor ground construction, and outdoor high-altitude construction.
Further, the personnel posture image processing and analyzing module analyzes the whole posture image corresponding to each target operator and is used for analyzing the action safety corresponding to each target operator, and the specific analyzing steps are as follows:
extracting the outline corresponding to each target operator from the processed overall posture image of each target operator, and further acquiring the action characteristics corresponding to each target operator based on the outline corresponding to each target operator;
if the contour corresponding to each target operator obtains that the action characteristic corresponding to each target operator is consistent with the dangerous action characteristic corresponding to each operator stored in the personnel information database, judging the action corresponding to the target operator Further, as dangerous actions, the action safety coefficient corresponding to the target operator is denoted as μ ', whereas μ ", μ' > μ", thereby obtaining the operation safety coefficient γ corresponding to each target operator, respectively j J is the number of each target operator, j=1, 2.
Further, the personnel posture image processing and analyzing module is used for analyzing the whole posture image corresponding to each target operator and analyzing the posture safety corresponding to the target operator, and specifically comprises the following steps:
according to the extracted outline corresponding to each target operator, further acquiring the outline shape corresponding to each target operator;
according to the contour shape corresponding to each target operator, acquiring the center point position corresponding to each target operator contour shape, thereby constructing the center line corresponding to each target operator according to the head-to-foot direction based on the center point position corresponding to each target operator, simultaneously, according to the contour corresponding to each target operator, extracting the position corresponding to each target operator head, constructing the vertical reference line corresponding to each target operator by taking the head position as the base point, further acquiring the included angle between the center line corresponding to each target operator and the vertical reference line, marking the included angle as the posture inclined angle, and marking as And->
Substituting the posture inclination angles corresponding to the target persons into a calculation formulaThe safety coefficient of the posture inclination angle corresponding to each target operator is obtained>The attitude inclination angle is permitted for a preset operator.
Further, the personnel posture image processing and analyzing module analyzes the local posture image corresponding to each target operator and is used for analyzing the support safety corresponding to each target operator, and the specific steps are as follows:
positioning the foot outline corresponding to each target operator from the processed local posture image of each target operator, further obtaining the foot area corresponding to each target operator, and marking as M j ；
The outline corresponding to the overlapping area between the feet of each target operator and the supporting area of each target operator is positioned from the processed local posture image of each target operator, and the area corresponding to the overlapping area between the feet of each target operator and the supporting area in each detection area is further obtained, so that the area is marked as the area of the overlapping area of the feet and is marked as M j ′；
Positioning the outline corresponding to the foot supporting area of each target operator from the processed local posture image of each target operator, further obtaining the area corresponding to the foot supporting area of each target operator, and marking the area as M j ″；
Substituting the foot area, the foot support overlapping area and the foot support area corresponding to each target operator into a calculation formulaWherein the foot support safety factor of each target operator is obtained, wherein p 1 ，p 2 Respectively setting correction coefficients corresponding to the area ratio of the foot overlapping areas and the area ratio of the foot supporting areas of the personnel, and p 1 +p 2 =1, wherein σ, σ' are the preset human foot reference overlap area ratio and foot reference support area ratio, respectively.
Further, the comprehensive operation posture safety influence coefficient formula corresponding to each target operator is as follows:wherein lambda is 1 ，λ 2 ，λ 3 Respectively set correction coefficients corresponding to the safety of the action and the action of the personnel, the safety of the supporting area and the safety of the posture inclination angle, and lambda 1 +λ 2 +λ 3 ＝1。
Compared with the prior art, the invention has the following beneficial effects:
1. according to the invention, the unmanned aerial vehicle is used for carrying out omnibearing real-time monitoring on the construction area, so that the monitoring blind area is effectively eliminated, the operation state of operators in the construction site is truly reflected, the occurrence of safety accidents in the construction site is effectively prevented, and the safety of construction operation in the construction site is greatly improved.
2. According to the invention, the integral posture image information and the local posture image information of the operator, which are acquired by the unmanned aerial vehicle, are analyzed and resolved, so that the comprehensive operation posture safety influence coefficient corresponding to the target operator is obtained, the operation safety corresponding to the target operator is judged based on the comprehensive operation posture safety influence coefficient corresponding to the target operator, and then the target operator in a dangerous state is warned, so that the labor cost can be reduced, the dangerous signal can be accurately and rapidly acquired, and the warning efficiency is improved.
3. The invention also provides a monitoring method for preventing the high-altitude falling, which monitors and analyzes the placement condition of the materials in the construction site, acquires the regional position information of the dangerous placement materials in the construction site, and performs early warning, thereby reducing the risk of the high-altitude falling of the materials in the construction site, ensuring the safety of constructors in the construction site and reducing the loss of the construction materials.
4. According to the invention, the monitoring and early warning are carried out through the construction safety of the construction site with two dimensions of materials and operators, on one hand, the multi-dimensional detection of the construction site is realized, the monitoring force of dangerous accidents is improved, and further the dangerous prevention effect of the construction site is improved, and on the other hand, the effective early warning of the high-altitude falling danger of the personnel and materials in the construction site is realized through the data analysis from multiple angles, so that the authenticity and scientificity of the construction safety monitoring result are improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the connection of the modules of the system of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The embodiment of the invention is shown in fig. 1, and the system comprises a material detection area dividing module, a material image acquisition module, a material image processing and analyzing module, a personnel image preliminary acquisition module, a personnel image preliminary processing module, a personnel posture image acquisition module, a personnel posture image processing and analyzing module, a personnel information database and an early warning terminal;
the system comprises a material image acquisition module, a material detection area module, a material image processing and analyzing module, a personnel image preliminary processing module, a personnel gesture image processing and analyzing module, a personnel operation dangerous gesture database and an early warning terminal, wherein the material image acquisition module is connected with the material detection area module and the material image processing and analyzing module;
The material detection area dividing module is used for acquiring the positions of the placement areas corresponding to the materials in the designated engineering construction site, dividing the designated engineering construction site into detection areas according to the positions of the placement areas corresponding to the materials, numbering the detection areas according to a preset sequence, and marking the detection areas as 1, 2.
The material image acquisition module is used for acquiring overlook images and forward-looking images corresponding to the materials in each detection area through the unmanned aerial vehicle, obtaining overlook images and forward-looking images corresponding to the materials in each detection area, and transmitting the acquired overlook images and forward-looking images corresponding to the materials in each detection area to the material image processing and analyzing module.
According to the embodiment of the invention, the unmanned aerial vehicle is utilized to collect the overlook image and the forward-looking image of the materials in each detection area, so that more effective data information is provided, the reliability of an analysis result is improved, and the authenticity of dangerous early warning on a construction site is further improved.
The material image processing and analyzing module is used for carrying out noise reduction and filtering processing on the overlook image and the forward-looking image corresponding to the material in each detection area, further analyzing the overlook image and the forward-looking image corresponding to the processed material in each detection area to obtain comprehensive safety influence coefficients of the placement positions corresponding to the material in each detection area, comparing the comprehensive safety influence coefficients of the placement positions corresponding to the material in each detection area with preset early warning material placement safety influence coefficients, judging that the placement state corresponding to the material in a certain detection area is dangerous state if the comprehensive safety influence coefficients of the placement positions corresponding to the material in the certain detection area are larger than or equal to the preset early warning material placement safety influence coefficients, otherwise judging that the placement state corresponding to the material in the detection area is safe state, recording the material in the detection area as dangerous placement material if the placement state corresponding to the material in the certain detection area is dangerous state, counting the number of the dangerous placement material, acquiring the number corresponding to the detection area where the dangerous placement material is located, and sending the number to the early warning terminal;
Analyzing the overlook images corresponding to the materials in the processed detection areas, wherein the specific analysis steps are as follows:
according to the processedThe overlooking images corresponding to the materials in the detection areas are obtained based on the outlines corresponding to the materials, and the areas corresponding to the materials in the detection areas are recorded as S i I represents a number corresponding to each detection area, i=1, 2,..;
positioning the outline corresponding to the overlapping area between the material and the placement position of the material from the processed overlook image corresponding to the material in each detection area, further obtaining the area corresponding to the overlapping area between the material and the placement position of the material in each detection area, marking the area as the area of the overlapping area of the material, and marking the area as S i ′；
Positioning the outline corresponding to the material placement area from the processed overlook image corresponding to the material in each detection area, further obtaining the area corresponding to the material placement area in each detection area, and marking as S i ″；
Substituting the corresponding area, the overlapping area and the placing area of the materials in each detection area into a calculation formulaObtaining the area safety coefficient of the material placement area in each detection area, wherein a is as follows 1 ,a 2 Respectively representing the correction coefficients corresponding to the set material overlapping area ratio and the placement area ratio; and a 1 +a 2 =1, κ is the preset material reference overlap area ratio, and κ' is the preset material reference placement area ratio.
If epsilon i The higher the material is, the safer the collected materials in each detection area correspond to the current placement position; if epsilon i The lower the position is, the more dangerous the collected materials in each detection area correspond to the current placement position.
Further, the front view image corresponding to the material in each detection area after the processing is analyzed, and the specific analysis mode is as follows:
extracting outline corresponding to the material from the processed front view image corresponding to the material in each detection area, acquiring position corresponding to each material endpoint based on the outline corresponding to the material in each detection area, randomly screening one material endpoint from the positions,marking the material end point as a target reference point, further constructing a horizontal reference line based on the target reference point, further obtaining the included angle between the material in each detection area and the horizontal reference line, marking the included angle as a material placement inclined angle, and marking the included angle as theta i Wherein 0.ltoreq.θ i Substituting the corresponding material placement inclination angles in all detection areas into a calculation formula at a value less than or equal to 900Obtaining a material placement gradient safety coefficient of each detection area, wherein theta' is expressed as a preset allowable material placement gradient;
If v i The smaller the material in each detection area is, the more dangerous the material is corresponding to the current placement inclination degree, if v i The larger the material is, the safer the collected materials in each detection area correspond to the current placement inclination degree.
The specific calculation formula of the comprehensive safety influence coefficient of the placement position corresponding to the materials is as followsWherein b 1 ，b 2 The areas of the set material placement areas are safe, the material placement inclination angles are safe corresponding correction coefficients, and b 1 +b 2 =1, e is a natural constant;
if kappa is i If the detection result is larger than or equal to the preset early warning material placement safety influence coefficient, judging that the placement state corresponding to the material in the detection area is dangerous, if kappa i And if the detection result is smaller than the preset early warning material placement safety influence coefficient, judging that the placement state corresponding to the material in the detection area is a safety state.
According to the embodiment of the invention, the placement condition of the materials in the construction site is monitored and analyzed, the regional position information of the dangerously placed materials in the construction site is obtained, and the early warning is carried out, so that the risk of high-altitude falling of the materials in the construction site is reduced, the safety of constructors in the construction site is ensured, the loss of the construction materials is reduced, and the real-time monitoring and high-efficiency early warning of the high-altitude falling objects in the construction site are realized.
The personnel image preliminary acquisition module is used for acquiring images of all operators in the designated engineering construction site through the unmanned aerial vehicle, and transmitting the acquired images corresponding to all the operators to the personnel image preliminary processing module.
According to the invention, the unmanned aerial vehicle is used for carrying out omnibearing real-time monitoring on the construction area, so that the monitoring blind area is effectively eliminated, the operation state of operators in the construction site is truly reflected, the occurrence of safety accidents in the construction site is effectively prevented, and the safety of construction operation in the construction site is greatly improved.
The personnel image preliminary processing module is used for carrying out noise reduction and filtering processing on images corresponding to all the operators, identifying the current corresponding operation area position of each operator from the processed images corresponding to all the operators, carrying out matching comparison on the operation area position corresponding to each operator and the operation area position corresponding to each construction type stored in the personnel information database, screening to obtain the construction type corresponding to each operator, further extracting the number of operators corresponding to the outdoor high-altitude construction type from the construction type, marking the operators corresponding to the outdoor high-altitude construction type as target operators, numbering each target operator, and sequentially marking the number as 1, 2.
The personnel posture image acquisition module is used for controlling the unmanned aerial vehicle to acquire the whole posture image and the local posture image corresponding to each target operator according to the position of the operation area corresponding to each target operator.
The personnel posture image processing and analyzing module is used for carrying out noise reduction and filtering processing on the integral posture image and the local posture image corresponding to each target operator, analyzing the processed integral posture image and the processed local posture image corresponding to each target operator to obtain comprehensive safety posture influence coefficients corresponding to each target operator, comparing the comprehensive operation posture safety influence coefficients corresponding to each target operator with preset early warning operation posture safety influence coefficients, judging that the operation state corresponding to a certain target operator is a dangerous state if the comprehensive operation posture safety influence coefficient corresponding to the certain target operator is greater than or equal to the preset early warning operation posture safety influence coefficient, otherwise judging that the operation state corresponding to the target operator is a safe state, and sending the number corresponding to the target operator to the early warning terminal if the operation state corresponding to the certain target operator is a dangerous state;
The analyzing the overall gesture image corresponding to each target operator is used for analyzing the action safety corresponding to each target operator, and the specific analysis steps are as follows:
extracting the outline corresponding to each target operator from the processed overall posture image of each target operator, and further acquiring the action characteristics corresponding to each target operator based on the outline corresponding to each target operator;
if the contour corresponding to each target operator obtains that the action characteristic corresponding to each target operator is consistent with the dangerous action characteristic corresponding to each operator stored in the personnel information database, judging the action corresponding to the target operator as dangerous action, further marking the action safety influence coefficient corresponding to the target operator as mu ', otherwise marking the action safety influence coefficient as mu', mu '> mu', thereby respectively obtaining the operation safety influence coefficient gamma corresponding to each target operator j J is the number of each target operator, j=1, 2,..m;
the analyzing the overall gesture image corresponding to each target operator is also used for analyzing the gesture security corresponding to the target operator, and the specific analysis is as follows:
According to the extracted outline corresponding to each target operator, further acquiring the outline shape corresponding to each target operator;
according to the contour shape corresponding to each target operator, the center point position corresponding to each target operator contour shape is obtained, so that the center line corresponding to each target operator is built according to the head-to-foot direction based on the center point position corresponding to each target operator, and the same asWhen the method is used, the corresponding positions of the heads of all target operators are extracted according to the corresponding outlines of all target operators, the vertical reference lines corresponding to all target operators are constructed by taking the head positions as base points, the included angles between the corresponding central lines of all target operators and the vertical reference lines are obtained, and the included angles are recorded as gesture inclined angles and marked asAnd->
Substituting the posture inclination angles corresponding to the target persons into a calculation formulaThe safety coefficient of the posture inclination angle corresponding to each target operator is obtained>Allowing an attitude inclination angle for a preset operator;
if psi is j The larger the gesture corresponding to each target operator is, the safer the gesture corresponding to each target operator is, if ψ is j The smaller the gesture corresponding to each target operator is, the more dangerous;
still another exemplary embodiment of the present invention further provides that the analyzing the local pose image corresponding to each target operator is used for analyzing the support security corresponding to each target operator, and specifically includes the following steps:
Positioning the foot outline corresponding to each target operator from the processed local posture image of each target operator, further obtaining the foot area corresponding to each target operator, and marking as M j ；
Positioning the outline corresponding to the overlapping area between the feet of each target operator and the supporting area of each target operator from the processed local posture image of each target operator, further obtaining the area corresponding to the overlapping area between the feet of each target operator and the supporting area of each target operator in each detection area, and recording the area as the area of the overlapping area of the foot support,and is marked as M j ′；
Positioning the outline corresponding to the foot supporting area of each target operator from the processed local posture area image of each target operator, further obtaining the area corresponding to the foot supporting area of each target operator, and marking the area as M j ″；
Substituting the foot area, the foot support overlapping area and the foot support area corresponding to each target operator into a calculation formulaWherein the foot support safety factor of each target operator is obtained, wherein p 1 ，p 2 Respectively setting correction coefficients corresponding to the area ratio of the foot overlapping areas and the area ratio of the foot supporting areas of the personnel, and p 1 +p 2 =1, wherein σ, σ' are the preset human foot reference overlap area ratio and foot reference support area ratio, respectively.
If delta j The larger the foot position corresponding to each target operator is, the safer the foot position corresponding to each target operator is, if delta j The smaller the foot position corresponding to each target operator, the more dangerous.
The comprehensive operation posture safety influence coefficient formula corresponding to the target operator is as follows:wherein lambda is 1 ，λ 2 ，λ 3 Respectively set correction coefficients corresponding to the safety of the action and the action of the personnel, the safety of the supporting area and the safety of the posture inclination angle, and lambda 1 +λ 2 +λ 3 ＝1；
If omega j If the operation state is greater than or equal to the preset early warning operation posture safety influence coefficient, judging that the operation state corresponding to the target operator is a dangerous state, if omega j And if the operation state is smaller than the preset early warning operation posture safety influence coefficient, judging that the operation state corresponding to the target operator is a safety state.
According to the embodiment of the invention, the integral posture image information and the local posture image information of the operator are obtained through the unmanned aerial vehicle, so that the comprehensive operation posture safety influence coefficient corresponding to the target operator is obtained, the operation safety corresponding to the target operator is judged based on the comprehensive operation posture safety influence coefficient corresponding to the target operator, and the target operator in a dangerous state is warned, so that the labor cost can be reduced, the dangerous signal can be accurately and rapidly obtained through the intelligent monitoring mode, and the warning efficiency is improved.
The personnel information database is used for storing dangerous action characteristics corresponding to each operator and the position of the operation area corresponding to each construction type;
the above construction types include indoor construction, outdoor ground construction and outdoor high-altitude construction.
The early warning terminal is used for receiving the numbers corresponding to the detection areas where the dangerous placed materials are located and corresponding to the dangerous placed materials sent by the material image processing and analyzing module, receiving the numbers corresponding to the target operators in the dangerous state and sent by the personnel gesture image processing and analyzing module, and carrying out early warning prompt.
According to the invention, the monitoring and early warning are carried out through the construction safety of the construction site with two dimensions of materials and operators, on one hand, the multi-dimensional detection of the construction site is realized, the monitoring force of dangerous accidents is improved, and further the dangerous prevention effect of the construction site is improved, and on the other hand, the effective early warning of the high-altitude falling danger of the personnel and materials in the construction site is realized through the data analysis from multiple angles, so that the authenticity and scientificity of the construction safety monitoring result are improved.
The foregoing is merely illustrative and explanatory of the principles of the invention, as various modifications and additions may be made to the specific embodiments described, or similar thereto, by those skilled in the art, without departing from the principles of the invention or beyond the scope of the appended claims.
Claims (7)
1. A foundation project engineering construction site safety intelligent supervision monitoring analysis early warning system is characterized in that: the system comprises a material detection area dividing module, a material image acquisition module, a material image processing and analyzing module, a personnel image preliminary acquisition module, a personnel image preliminary processing module, a personnel posture image acquisition module, a personnel posture image processing and analyzing module, a personnel information database and an early warning terminal;
the material detection area dividing module is used for acquiring the positions of the placement areas corresponding to the materials in the designated engineering construction site, dividing the designated engineering construction site into detection areas according to the positions of the placement areas corresponding to the materials, numbering the detection areas according to a preset sequence, and marking the detection areas as 1,2, i, n;
the material image acquisition module is used for acquiring overlook images and forward-looking images corresponding to the materials in each detection area through the unmanned aerial vehicle, so as to obtain overlook images and forward-looking images corresponding to the materials in each detection area;
the material image processing and analyzing module is used for carrying out noise reduction and filtering processing on the overlook image and the forward-looking image corresponding to the material in each detection area, further analyzing the overlook image and the forward-looking image corresponding to the processed material in each detection area to obtain comprehensive safety influence coefficients of the placement positions corresponding to the material in each detection area, comparing the comprehensive safety influence coefficients of the placement positions corresponding to the material in each detection area with preset early warning material placement safety influence coefficients, judging that the placement state corresponding to the material in a certain detection area is dangerous state if the comprehensive safety influence coefficients of the placement positions corresponding to the material in the certain detection area are larger than or equal to the preset early warning material placement safety influence coefficients, otherwise judging that the placement state corresponding to the material in the detection area is safe state, recording the material in the detection area as dangerous placement material if the placement state corresponding to the material in the certain detection area is dangerous state, counting the number of the dangerous placement material, acquiring the numbers corresponding to the detection areas where the dangerous placement materials are located, and sending the numbers to the early warning terminal;
Material pairs in each detection area in the material image processing and analyzing moduleThe specific calculation formula of the comprehensive safety influence coefficient of the corresponding placement position is as followsWherein b 1 ，b 2 The areas of the set material placement areas are safe, the material placement inclination angles are safe corresponding correction coefficients, and b 1 +b 2 =1, e is a natural constant, ε i For the area safety coefficient of the material placement area in each detection area, v i Placing gradient safety coefficients for the materials in each detection area;
the personnel image preliminary acquisition module is used for acquiring images of all operators in the designated engineering construction site through the unmanned aerial vehicle and transmitting the acquired images corresponding to all the operators to the personnel image preliminary processing module;
the personnel image preliminary processing module is used for carrying out noise reduction and filtering processing on images corresponding to all operators, identifying the current corresponding operation area position of each operator from the processed images corresponding to all operators, carrying out matching comparison on the operation area position corresponding to each operator and the operation area position corresponding to each construction type stored in the personnel information database, screening to obtain the construction type corresponding to each operator, further extracting the number of operators corresponding to the outdoor high-altitude construction type from the construction type, marking the operators corresponding to the outdoor high-altitude construction type as target operators, numbering each target operator, and sequentially marking the positions as 1, 2.
The personnel posture image acquisition module is used for controlling the unmanned aerial vehicle to acquire an integral posture image and a local posture image corresponding to each target operating personnel according to the position of the operating area corresponding to each target operating personnel;
the personnel posture image processing and analyzing module is used for carrying out noise reduction and filtering processing on the integral posture image and the local posture image corresponding to each target operator, analyzing the processed integral posture image and the processed local posture image corresponding to each target operator to obtain comprehensive safety posture influence coefficients corresponding to each target operator, comparing the comprehensive operation posture safety influence coefficients corresponding to each target operator with preset early warning operation posture safety influence coefficients, judging that the operation state corresponding to a certain target operator is a dangerous state if the comprehensive operation posture safety influence coefficient corresponding to the certain target operator is greater than or equal to the preset early warning operation posture safety influence coefficient, otherwise judging that the operation state corresponding to the target operator is a safe state, and sending the number corresponding to the target operator to the early warning terminal if the operation state corresponding to the certain target operator is a dangerous state;
The comprehensive operation posture safety influence coefficient formula corresponding to each target operator is as follows:wherein lambda is 1 ，λ 2 ，λ 3 Respectively set correction coefficients corresponding to the safety of the action and the action of the personnel, the safety of the supporting area and the safety of the posture inclination angle, and lambda 1 +λ 2 +λ 3 ＝1，γ j For the operation action safety coefficient, psi corresponding to each target operator j Safety coefficient delta of posture inclination angle corresponding to each target operator j Supporting a safety factor for the feet of each target operator;
the personnel information database is used for storing dangerous action characteristics corresponding to each operator and the position of an operation area corresponding to each construction type;
the early warning terminal is used for receiving the numbers corresponding to the detection areas where the dangerous placed materials are located and corresponding to the dangerous placed materials sent by the material image processing and analyzing module, receiving the numbers corresponding to the target operators in the dangerous state and sent by the personnel gesture image processing and analyzing module, and carrying out early warning prompt.
2. The intelligent supervision, monitoring, analysis and early warning system for the safety of the construction site of the foundation project engineering is characterized in that: the material image processing and analyzing module analyzes the overlooking images corresponding to the materials in the processed detection areas, and the specific steps are as follows:
According to the processed overlook images corresponding to the materials in the detection areas, the areas corresponding to the materials in the detection areas are obtained based on the outlines corresponding to the materials and are recorded as S i I represents a number corresponding to each detection area, i=1, 2,..;
positioning the outline corresponding to the overlapping area between the material and the placement position of the material from the processed overlook image corresponding to the material in each detection area, further obtaining the area corresponding to the overlapping area between the material and the placement position of the material in each detection area, marking the area as the area of the overlapping area of the material, and marking the area as S i ′；
Positioning the outline corresponding to the material placement area from the processed overlook image corresponding to the material in each detection area, further obtaining the area corresponding to the material placement area in each detection area, and marking as S i ″；
Substituting the corresponding area, the overlapping area and the placing area of the materials in each detection area into a calculation formulaObtaining the area safety coefficient of the material placement area in each detection area, wherein a is as follows 1 ,a 2 Respectively representing the correction coefficients corresponding to the set material overlapping area ratio and the placement area ratio; and a 1 +a 2 =1, κ is the preset material reference overlap area ratio, and κ' is the preset material reference placement area ratio.
3. The intelligent supervision, monitoring, analysis and early warning system for the safety of the construction site of the foundation project engineering is characterized in that: the front view image corresponding to the processed materials in each detection area is analyzed in the material image processing and analyzing module, and the specific steps are as follows:
from the front view corresponding to the materials in each detection area after treatmentExtracting the outline corresponding to the material from the image, acquiring the position corresponding to each material endpoint based on the outline corresponding to the material in each detection area, randomly screening one material endpoint from the outline, marking the material endpoint as a target reference point, further constructing a horizontal reference line based on the target reference point, further acquiring the included angle between the material in each detection area and the horizontal reference line, marking the included angle as a material placement inclined angle, and marking the included angle as theta i Wherein 0.ltoreq.θ i Substituting the corresponding material placement inclination angles in all detection areas into a calculation formula at an angle of less than or equal to 90 DEGAnd obtaining the material placement gradient safety coefficient of each detection area, wherein theta' is expressed as a preset allowable material placement gradient angle.
4. The intelligent supervision, monitoring, analysis and early warning system for the safety of the construction site of the foundation project engineering is characterized in that: the construction types include indoor construction, outdoor ground construction and outdoor high-altitude construction.
5. The intelligent supervision, monitoring, analysis and early warning system for the safety of the construction site of the foundation project engineering is characterized in that: the personnel posture image processing and analyzing module analyzes the whole posture image corresponding to each target operator and is used for analyzing the action safety corresponding to each target operator, and the specific analyzing steps are as follows:
extracting the outline corresponding to each target operator from the processed overall posture image of each target operator, and further acquiring the action characteristics corresponding to each target operator based on the outline corresponding to each target operator;
if the contour corresponding to each target operator obtains that the action characteristics corresponding to each target operator are consistent with the dangerous action characteristics corresponding to each operator stored in the personnel information database, judging that the action corresponding to the target operator is dangerous action, and further ensuring the action safety corresponding to the target operatorThe coefficient is denoted as μ ', whereas μ' > μ "is denoted as μ", to obtain the work operation safety coefficient γ corresponding to each target worker j J is the number of each target operator, j=1, 2.
6. The intelligent supervision, monitoring, analysis and early warning system for the safety of the construction site of the foundation project engineering is characterized in that: the personnel posture image processing and analyzing module is used for analyzing the whole posture image corresponding to each target operator and analyzing the posture safety corresponding to the target operator, and specifically comprises the following steps:
according to the extracted outline corresponding to each target operator, further acquiring the outline shape corresponding to each target operator;
according to the contour shape corresponding to each target operator, acquiring the center point position corresponding to each target operator contour shape, thereby constructing the center line corresponding to each target operator according to the head-to-foot direction based on the center point position corresponding to each target operator, simultaneously, according to the contour corresponding to each target operator, extracting the position corresponding to each target operator head, constructing the vertical reference line corresponding to each target operator by taking the head position as the base point, further acquiring the included angle between the center line corresponding to each target operator and the vertical reference line, marking the included angle as the posture inclined angle, and marking asAnd is also provided with
Substituting the posture inclination angles corresponding to the target persons into a calculation formula The safety coefficient of the posture inclination angle corresponding to each target operator is obtained>The attitude inclination angle is permitted for a preset operator.
7. The intelligent supervision, monitoring, analysis and early warning system for the safety of the construction site of the foundation project engineering is characterized in that: the personnel posture image processing and analyzing module analyzes the local posture image corresponding to each target operator and is used for analyzing the supporting safety corresponding to each target operator, and the specific steps are as follows:
positioning the foot outline corresponding to each target operator from the processed local posture image of each target operator, further obtaining the foot area corresponding to each target operator, and marking as M j ；
The outline corresponding to the overlapping area between the feet of each target operator and the supporting area of each target operator is positioned from the processed local posture image of each target operator, and the area corresponding to the overlapping area between the feet of each target operator and the supporting area in each detection area is further obtained, so that the area is marked as the area of the overlapping area of the feet and is marked as M j ′；
Positioning the outline corresponding to the foot supporting area of each target operator from the processed local posture image of each target operator, further obtaining the area corresponding to the foot supporting area of each target operator, and marking the area as M j ″；
Substituting the foot area, the foot support overlapping area and the foot support area corresponding to each target operator into a calculation formulaWherein the foot support safety factor of each target operator is obtained, wherein p 1 ，p 2 Respectively setting correction coefficients corresponding to the area ratio of the foot overlapping areas and the area ratio of the foot supporting areas of the personnel, and p 1 +p 2 =1, wherein σ, σ' is the preset human foot reference overlap area ratio and foot reference support area ratio respectively。
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