CN105956549A - Worker pre-job safety equipment and behavior capability inspection system and method - Google Patents
Worker pre-job safety equipment and behavior capability inspection system and method Download PDFInfo
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- CN105956549A CN105956549A CN201610279988.9A CN201610279988A CN105956549A CN 105956549 A CN105956549 A CN 105956549A CN 201610279988 A CN201610279988 A CN 201610279988A CN 105956549 A CN105956549 A CN 105956549A
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- G06V40/20—Movements or behaviour, e.g. gesture recognition
- G06V40/23—Recognition of whole body movements, e.g. for sport training
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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Abstract
The invention provides a worker pre-job safety equipment and behavior capability inspection system which comprises an image collection module, an image pre-processing module, a database module, a processing module, an information output module, a display and a sound device which are connected in series. The image collection module is used for collecting color image information and bone node information of the body of a worker to be inspected, and transmitting the information to the image pre-processing module. The image pre-processing module establishes a human body three-dimensional model and a human body bone node module according to the received information, and carries out segmentation on the human body three-dimensional module. The database module comprises a worker information database, a work task database and a safety equipment model database. The processing module is used for carrying out comparison between the received information after the segmentation of the image pre-processing module and data in the database module. The information is transmitted to the display and the sound device by the information output module. The worker pre-job safety equipment and behavior capability inspection system is simply, effectively and rapidly realized and is applied to fields such as building construction safety and coal mine production.
Description
Technical field
The invention belongs to safety of workers and check field, especially relate to safety equipment and behavioral competence inspection system before a kind of workman's operation
System and method.
Background technology
Along with the development of science and technology, people are more and more higher to the demand of automatization.The field such as construction, coal production is long-term
Since the developmental pattern of extensive style make its automatization level relatively low, the safety inspection before workman's operation still stays in foreman and manually calls the roll
And the safety equipment of preaching formula wears prompting.By builder, coal miner self factor such as educational level, safety consciousness
Limiting, before operation, safety inspection effect is limited.Field is checked in safety of workers, automatic in the urgent need to one, stable, reliable
Safety check system.
At present, the field such as monitoring system based on Kinect somatosensory device, object quick three-dimensional modeling has been obtained for application, people
The probability that the fields such as face identification technology is monitored in real time at driving behavior, the automatic work attendance of coal miner use has been obtained for demonstration.
Meanwhile, the research of driving behavior based on machine vision prediction has obtained some achievements.These achievements are opening of this research
Exhibition provides important Technical Reference.The Kinect natural interaction equipment of Microsoft's exploitation comprises colour imagery shot, infrared takes the photograph
As head, ad-hoc location can be caught coloured image, depth image, and can obtain based on 25 articulares of human body by this
Skeleton joint model, can realize human body surface and the Depth Study of skeleton node.Additionally, the Kinect for that Microsoft releases
Windows SDK, can realize the secondary development to Kinect device, and in addition, the popular price of relevant device, for this research
Carrying out provide conveniently.
Summary of the invention
The deficiency low for the automatization level in safety inspection of workman in prior art, effect is limited, the invention provides one
Before workman's operation, safety equipment and behavioral competence check system and method, can realize simply, before workman's operation effectively and rapidly from
Dynamic safety check system, is applied to construction safety, coal production etc. multi-field.
The present invention realizes above-mentioned technical purpose by techniques below means.
Safety equipment and behavioral competence automatic inspection system before a kind of workman's operation, including the image capture module being sequentially connected with, figure
As pretreatment module, DBM, processing module, message output module, display and sound equipment；Described image capture module
For gathering color image information and the skeleton nodal information of workman's health to be checked, and pass the information on to image pre-processing module；
Described image pre-processing module sets up human 3d model and skeleton nodal analysis method according to the information received, and by human body three
Dimension module is split；Described DBM includes workman's information bank, task storehouse and safety equipment model library；Described process mould
In block human 3d model information and date library module after the image pre-processing module segmentation that will receive at Data Comparison
Reason, is delivered to display and sound equipment by information transmission modular by result；Described display is with the display inspection of picture showing form
Come to an end fruit；Described sound equipment checks result with the display of voice message form.
Preferably, described image capture module is Kinect2.0 type photographic head.
Safety equipment and behavioral competence automatic check method before a kind of workman's operation, comprise the steps:
S1: be sequentially connected with image capture module, image pre-processing module, DBM, processing module, information output mould
Block, display and sound equipment；
S2: image capture module gathers the color image information of workman's health to be checked and skeleton nodal information, pass the information on to
Image pre-processing module；
S3: image pre-processing module, to information processing, is set up human 3d model and skeleton nodal analysis method, afterwards will
Human 3d model carries out model segmentation；
Workman's information bank, task storehouse and safety equipment in the information and date library module that model is split by S4: processing module
Model library carries out information contrast, carries out workman's identity validation, workman's operation behaviour efficiency test, safety equipment integrity checking；
Inspection result is delivered to display and sound equipment by information transmission modular by S5: processing module.
Preferably, in step S3, safety equipment model library includes safety helmet, working clothing, seat belt, 4 kinds of safety equipments of Labor protection shoes
Model.
Preferably, color image information is converted into the gray scale that gray value is [0,255] by image pre-processing module described in step S3
Figure, utilizes background technology for eliminating based on iterative Threshold Segmentation Algorithm by background removal, utilizes Autodesk 3ds Max software
Carry out human 3d model reconstruction；Split by model, threedimensional model is divided into head, trunk, upper limb, 4 points of lower limb
Solve part.
Preferably, the header data after segmentation is carried out by processing module described in step S4 with the workman's information bank in DBM
Contrast, carries out workman's information identity confirmation；If cannot find this workman after comparison, this information processing is illegal by system automatically
Swarming into, and send safety alarm, information processing stops, and waits that human body information is rescaned by image capture module；If after comparison
Search the information of this workman, this workman can be carried out safety equipment integrity checking, operation behaviour efficiency test.
Preferably, step S4 will have confirmed that model partition data and the safety equipment model library information in DBM of workman
Contrast, carries out safety equipment integrity checking；If safety equipment is imperfect after comparison, information processing stops, and waits image acquisition
Human body information is rescaned by module；If safety equipment is complete after comparison, then this workman is carried out operation behaviour efficiency test.
Preferably, step S4 allows the workman passing through safety equipment integrity checking do designated movement before image capture module move
Making, record the skeleton joint movements feature of this workman, this athletic performance considers that the difference of work post meets different action demands；
The skeleton joint movements feature of this workman is carried out diversity with the skeleton nodal analysis method in image pre-processing module by processing module
Analyze, carry out workman's operation behaviour efficiency test.
Preferably, described athletic performance is: (1) both legs close up stands erectly, and upper body keeps straight, is lifted up after both arms side raise.
Both arms and both shoulders horizontal plane angle all >=30 ° of persons be normally, otherwise are unusual condition；(2) both legs close up and stand erectly, and upper body keeps
Straight, both legs dip of knees after both arms side raise." hip knee joint ankle " 3 skeleton 125 ° of persons of node line angle=are normal,
Otherwise it is unusual condition；(3) both legs close up and stand erectly, and upper body keeps straight, after both legs dip of knees two hand-tight hold after curved in front
Bent." shoulder elbow wrist " 3 skeleton 125 ° of persons of node line angle=are normal, otherwise are unusual condition；(4) both legs are also
Hold together to stand erectly, with arms akimbo, preserve angle >=30 ° of " thoracic lumbar vertebrae " 2 skeleton lines and " the right hip of left hip " line,
And centered by sacral node, do 360 ° of twistings, it is impossible to completing this actor is unusual condition.
Beneficial effects of the present invention:
Before a kind of workman's operation of the present invention, safety equipment and behavioral competence check system and method, based on image acquisition mould
Block such as Kinect photographic head obtains workman's image information, and fills with workman's information bank, task storehouse and safety after its process
Standby model library is compared, and then carries out workman's identity validation, workman's operation behaviour efficiency test, safety equipment integrity checking；
Realize simply, automatic safe checks system before workman's operation effectively and rapidly；Native system at most can carry out operation to 6 people simultaneously
Front safety equipment integrity and operation behaviour ability check work automatically, it is achieved " the many people of machine " operates, and can be effectively improved safety
Check efficiency.
Accompanying drawing explanation
Fig. 1 is safety equipment and behavioral competence inspection system architecture diagram before one workman's operation of the present invention.
Fig. 2 is safety equipment and behavioral competence inspection method flow chart before one workman's operation of the present invention.
Required movement schematic diagram when Fig. 3 is workman's operation behaviour efficiency test.
Description of reference numerals is as follows:
1-display, 2-audio amplifier.
Detailed description of the invention
Below in conjunction with the accompanying drawings and specific embodiment the present invention is further illustrated, but protection scope of the present invention is not limited to
This.
As it is shown in figure 1, safety equipment and behavioral competence automatic inspection system before a kind of workman's operation, including the image being sequentially connected with
Acquisition module, image pre-processing module, DBM, processing module, message output module, display 1 and sound equipment 2；
Image capture module is for gathering color image information and the skeleton nodal information of workman's health to be checked, and passes the information on to figure
As pretreatment module, Kinect2.0 type photographic head can be used；Image pre-processing module sets up human body three-dimensional according to the information received
Model and skeleton nodal analysis method, and human 3d model is split；Described DBM includes workman's information bank, work
Task library and safety equipment model library；Described processing module human body three-dimensional after the image pre-processing module segmentation that will receive
In model information and DBM, Data Comparison processes, and by information transmission modular, result is delivered to display and sound equipment；
Described display checks result with the display of picture showing form；Described sound equipment checks result with the display of voice message form.
As in figure 2 it is shown, safety equipment and behavioral competence automatic check method before a kind of workman's operation, comprise the steps:
S1: be sequentially connected with image capture module, image pre-processing module, DBM, processing module, information output mould
Block, display 1 and sound equipment 2；
S2: image capture module gathers the color image information of workman's health to be checked and skeleton nodal information, pass the information on to
Image pre-processing module；
S3: image pre-processing module, to information processing, is set up human 3d model and skeleton nodal analysis method, subsequently will
Color image information is converted into the gray-scale map that gray value is [0,255], and the outward flange of human body parts and background can produce bigger ash
Angle value is suddenlyd change, and utilizes background technology for eliminating based on iterative Threshold Segmentation Algorithm, can eliminate background removal by beyond human body
Invalid image, reduce information interference；Concrete iterative Threshold Segmentation Algorithm is as follows:
(1) the most arbitrarily selected numerical value, in this, as initial threshold T0；
And pass through (2)Two formulas obtain gray average μ1、μ2；
(3) μ is calculated1、μ2After, according toCarry out new threshold value Ti+1Calculating；
(4) step (2), step (3) are repeated, until | Ti+1-Ti| trend towards 0 or stop calculating circulation, the back of the body during other definite values
Scape eliminates successfully；Background utilizes Autodesk 3ds Max software to carry out human 3d model reconstruction after eliminating；Split by model,
Threedimensional model is divided into head, trunk, upper limb, 4 decomposition parts of lower limb.
S4: human 3d model is rebuild and after model segmentation, after navigating to the human face region of head, and Kinect camera collection
Face information, then utilizes OpenCV to carry out recognition of face；Processing module is according to the information reference database module of recognition of face
In workman's information bank, search workman's personal information carry out identity validation；Transfer corresponding workman's according to the identity information searched
Task storehouse, is operated task items coupling with this, searches the task arrangement of this workman, confirm the access of workman with this
Authority；It is pointed out here that, if cannot find this workman after recognition of face and workman's information bank comparison, system is automatically by this information
It is processed as breaking in, and sends safety alarm；The information process of native system is so far, waits Kinect photographic head pair
Human body information rescans；If having searched the information of this workman after recognition of face inside workman's information bank, i.e. pass through face
Recognition and verification workman to be checked identity information, can carry out safety equipment integrity checking, operation behaviour efficiency test to this workman；
If cannot search this workman's relevant information after recognition of face inside workman's information bank, after giving a warning, this is entered by management level
The special mandate of row, i.e. this intruder can enter working space, and system also can carry out next step operation；
During safety equipment integrity checking, the system re invocation of needs had confirmed that the threedimensional model after the segmentation of workman's model, with number
Compare according to the safety equipment master pattern in library module, i.e. the head of human 3d model, trunk, upper limb, 4, lower limb
Decomposition part carries out similarity comparison with corresponding safety helmet, working clothing, seat belt, 4 master patterns of Labor protection shoes；If it is similar
Degree reaches certain threshold value, and system automatic decision is that this safety equipment exists, and automatically processes this information into qualified simultaneously；
If similarity is less than certain threshold value, can regard as this safety device and not exist, this information processing simultaneously is defective,
And position and the safety equipment of this disappearance are demonstrated in display screen, sound equipment sends the voice message of correspondence；Concrete threshold values can
It is configured according to actual needs.
Determine the absent region of safety equipment；Carry out safety equipment integrity checking；If safety equipment is imperfect after comparison, information
Process and stop, waiting that human body information is rescaned by image capture module；If safety equipment is complete after comparison, then this workman is entered
Row operation behaviour efficiency test.
During operation behaviour efficiency test, allow and take exercises dynamic before image capture module by the workman of safety equipment integrity checking
Make, record the skeleton joint movements feature of this workman；Processing module is by the skeleton joint movements feature of this workman and Image semantic classification
Skeleton nodal analysis method in module carries out difference analysis, carries out workman's operation behaviour efficiency test；Wherein, such as Fig. 3 institute
Showing, athletic performance is: (1) both legs close up stands erectly, and upper body keeps straight, is lifted up after both arms side raise.Both arms and both shoulders
Horizontal plane angle all >=30 ° of persons be normally, otherwise are unusual condition；(2) both legs close up and stand erectly, and upper body keeps straight, both arms
Both legs dip of knees after side raise." hip knee joint ankle " 3 skeleton 125 ° of persons of node line angle=are normal, otherwise are different
Often situation；(3) both legs close up and stand erectly, and upper body keeps straight, after both legs dip of knees two hand-tight hold after bend in front." shoulder
Elbow wrist " 3 skeleton 125 ° of persons of node line angle=are normal, otherwise are unusual condition；(4) both legs close up and stand erectly, double
Akimbo, preserve angle >=30 ° of " thoracic lumbar vertebrae " 2 skeleton lines and " the right hip of left hip " line, and with sacral
360 ° of twistings are done, it is impossible to completing this actor is unusual condition centered by node.The athletic performance specified is raw also dependent on reality
Product demand, considers the use habit of workman and work post, working environment, the particularity of activity are configured；At this
During, if workman to be checked does designated movement action, when action situation lack of standardization occurs, send hydropac immediately, i.e.
There is physiological defect in this workman's body part state, is not suitable for site operation.
Inspection result is delivered to display 1 and sound equipment 2 by information transmission modular by S5: processing module, the information that system processes
All showing on display screen 1, sound equipment 2 sends the voice broadcast of correspondence simultaneously.
Described embodiment be the present invention preferred embodiment, but the present invention is not limited to above-mentioned embodiment, without departing substantially from this
In the case of the flesh and blood of invention, any conspicuously improved, replacement or modification that those skilled in the art can make are equal
Belong to protection scope of the present invention.
Claims (9)
1. safety equipment and behavioral competence automatic inspection system before workman's operation, it is characterised in that include the figure being sequentially connected with
As acquisition module, image pre-processing module, DBM, processing module, message output module, display and sound equipment；Institute
State image capture module for gathering color image information and the skeleton nodal information of workman's health to be checked, and pass the information on to
Image pre-processing module；Described image pre-processing module sets up human 3d model and skeleton node according to the information received
Model, and human 3d model is split；Described DBM includes workman's information bank, task storehouse and safety equipment mould
Type storehouse；Described processing module human 3d model information and date storehouse mould after the image pre-processing module segmentation that will receive
In block, Data Comparison processes, and by information transmission modular, result is delivered to display and sound equipment；Described display is with image
Represent form display and check result；Described sound equipment checks result with the display of voice message form.
Safety equipment and behavioral competence automatic inspection system before a kind of workman's operation the most according to claim 1, its feature exists
In, described image capture module is Kinect2.0 type photographic head.
3. safety equipment and behavioral competence automatic check method before workman's operation, it is characterised in that comprise the steps:
S1: be sequentially connected with image capture module, image pre-processing module, DBM, processing module, information output mould
Block, display and sound equipment；
S2: image capture module gathers the color image information of workman's health to be checked and skeleton nodal information, pass the information on to
Image pre-processing module；
S3: image pre-processing module, to information processing, is set up human 3d model and skeleton nodal analysis method, afterwards will
Human 3d model carries out model segmentation；
Workman's information bank, task storehouse and safety equipment in the information and date library module that model is split by S4: processing module
Model library carries out information contrast, carries out workman's identity validation, workman's operation behaviour efficiency test, safety equipment integrity checking；
Inspection result is delivered to display and sound equipment by information transmission modular by S5: processing module.
Safety equipment and behavioral competence automatic check method before a kind of workman's operation the most according to claim 3, its feature exists
In, in step S3, safety equipment model library includes safety helmet, working clothing, seat belt, 4 kinds of safety equipment models of Labor protection shoes.
Safety equipment and behavioral competence automatic check method before a kind of workman's operation the most according to claim 3, its feature exists
In, color image information is converted into the gray-scale map that gray value is [0,255] by image pre-processing module described in step S3, utilizes
Background technology for eliminating based on iterative Threshold Segmentation Algorithm, by background removal, utilizes Autodesk 3ds Max software to carry out human body
Reconstructing three-dimensional model；Split by model, threedimensional model is divided into head, trunk, upper limb, 4 decomposition parts of lower limb.
Safety equipment and behavioral competence automatic check method before a kind of workman's operation the most according to claim 3, its feature exists
In, the header data after segmentation is contrasted by processing module described in step S4 with the workman's information bank in DBM, enters
Row workman's information identity confirms；If this workman cannot be found after comparison, system automatically by this information processing for breaking in, and
Sending safety alarm, information processing stops, and waits that human body information is rescaned by image capture module；If searching after comparison
The information of this workman, can carry out safety equipment integrity checking, operation behaviour efficiency test to this workman.
Safety equipment and behavioral competence automatic check method before a kind of workman's operation the most according to claim 6, its feature exists
In, by having confirmed that the model partition data of workman and the safety equipment model library information contrast in DBM in step S4, enter
Row safety equipment integrity checking；If safety equipment is imperfect after comparison, information processing stops, and waits that image capture module is to people
Body information rescans；If safety equipment is complete after comparison, then this workman is carried out operation behaviour efficiency test.
Safety equipment and behavioral competence automatic check method before a kind of workman's operation the most according to claim 7, its feature exists
In, step S4 allows and before image capture module, does designated movement action, record by the workman of safety equipment integrity checking
The skeleton joint movements feature of this workman, this athletic performance considers that the difference of work post meets different action demands；Processing module
The skeleton joint movements feature of this workman is carried out difference analysis with the skeleton nodal analysis method in image pre-processing module, enters
Row workman's operation behaviour efficiency test.
Safety equipment and behavioral competence automatic check method before a kind of workman's operation the most according to claim 8, its feature exists
In, described athletic performance is: (1) both legs close up stands erectly, and upper body keeps straight, is lifted up after both arms side raise.Both arms with
Both shoulders horizontal plane angle all >=30 ° of persons be normally, otherwise are unusual condition；(2) both legs close up and stand erectly, and upper body keeps straight,
Both legs dip of knees after both arms side raise." hip knee joint ankle " 3 skeleton 125 ° of persons of node line angle=are normal, otherwise
For unusual condition；(3) both legs close up and stand erectly, and upper body keeps straight, after both legs dip of knees two hand-tight hold after bend in front.
" shoulder elbow wrist " 3 skeleton 125 ° of persons of node line angle=are normal, otherwise are unusual condition；(4) both legs close up station
Directly, with arms akimbo, angle >=30 ° of " thoracic lumbar vertebrae " 2 skeleton lines and " the right hip of left hip " line are preserved, and
360 ° of twistings are done, it is impossible to completing this actor is unusual condition centered by sacral node.
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| CN110897611A (en) * | 2019-12-13 | 2020-03-24 | 西南石油大学 | Eye-closing single-foot standing detection method based on deep learning |
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