CN109858441A - A kind of monitoring abnormal state method and apparatus for construction site - Google Patents
A kind of monitoring abnormal state method and apparatus for construction site Download PDFInfo
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Abstract
The invention discloses a kind of monitoring abnormal state method and apparatus for construction site, this method comprises: obtaining the original state image in several regions in construction site as benchmark image；The image after period acquisition original state image is as images to be recognized at preset timed intervals；Image preprocessing is carried out to benchmark image and images to be recognized respectively, obtains benchmark pretreatment image and pretreatment image to be identified；Similarity calculation is carried out to benchmark pretreatment image and pretreatment image to be identified, and is judged between two images with the presence or absence of otherness；Processing is marked in the benchmark pretreatment image and pretreatment image to be identified that otherness will be present, and generates image tagged report.This method carries out image procossing by benchmark pre-image to several regions in construction site and images to be recognized and calculates its similarity and generate image tagged report, the work development condition of construction site can be understood in time, the accuracy that report is carried out in work is improved, the workload of staff is reduced.
Description
Technical field
The present invention relates to technical field of image processing more particularly to a kind of monitoring abnormal state methods for construction site
With device.
Background technique
In building construction process, in order to fully understand that actual conditions are carried out in the work of construction site, as construction site is
No to start to break ground, whether have situations such as mound, whether complete construction task at the appointed time, construction enterprises are typically all
Periodically accrediting prospecting personnel carries out on-the-spot investigation to construction site, carries out registration to investigation content and makes analysis report.
Although being called not there are also by the way that comprehensive video monitoring system is arranged at the construction field (site) by duty personnel
Same video carries out checking differentiation, so that the analysis report carried out in construction site about work is made, but duty personnel needs
It wants the moment to check video, can just obtain the construction current intelligence of construction site in time, workload is very big；And by artificial main
It watches to the property seen video to be not easy to find the abnormal conditions of construction site, it is easy to which carelessness or subjective consciousness due to people obtain
The discriminant information of mistake, to obtain the analysis report of mistake.
Summary of the invention
The object of the present invention is to provide a kind of monitoring abnormal state method and apparatus for construction site, can be effectively
The work development condition of construction site is investigated, the accuracy that construction site carries out report about work is improved, reduces staff
Workload.
The embodiment of the invention provides a kind of monitoring abnormal state methods for construction site, comprising:
The original state image in several regions in the construction site is obtained as benchmark image；
The period obtains the image after the original state image as images to be recognized at preset timed intervals；
Image preprocessing is carried out respectively to the benchmark image and the images to be recognized, obtain benchmark pretreatment image and
Pretreatment image to be identified；
Similarity calculation is carried out to the benchmark pretreatment image and the pretreatment image to be identified, and judges two figures
It whether there is otherness as between；
Processing is marked in the benchmark pretreatment image and the pretreatment image to be identified that otherness will be present, and
Generate corresponding image tagged report.
Preferably, described that image preprocessing is carried out respectively to the benchmark image and the images to be recognized, obtain benchmark
Pretreatment image and pretreatment image to be identified, specifically include:
Image denoising, enhancing processing are carried out to the benchmark image and the images to be recognized respectively, benchmark is obtained and locates in advance
Manage image and pretreatment image to be identified.
It is preferably, described to the benchmark pretreatment image and the pretreatment image to be identified carries out similarity calculation,
And judge to specifically include between two images with the presence or absence of otherness:
Average hash algorithm processing is carried out to the benchmark pretreatment image and the pretreatment image to be identified, obtains two
Open the similarity of image；
If the similarity is unsatisfactory for default first condition, the benchmark pretreatment image and the pretreatment to be identified
Having differences property of image.
Preferably, described that average hash algorithm is carried out to the benchmark pretreatment image and the pretreatment image to be identified
Processing, obtains the similarity of two images, specifically includes:
Ratio processing is zoomed in and out to the benchmark pretreatment image and the pretreatment image to be identified respectively, obtains system
The benchmark pretreatment image and pretreatment image to be identified of one ratio；
To after common scale benchmark pretreatment image and pretreatment image to be identified carry out gray processing processing respectively, obtain
Benchmark gray level image and gray level image to be identified；
Calculated for pixel values is carried out to the pixel in the benchmark gray level image and the gray level image to be identified, and is calculated
The average pixel value of correspondence image；
According to the average pixel value, the benchmark gray level image and the corresponding image of the gray level image to be identified are obtained
Fingerprint；
According to described image fingerprint, the Hamming distance between the benchmark gray level image and the gray level image to be identified is obtained
From so that the similarity of the benchmark pretreatment image and the pretreatment image to be identified be calculated.
The embodiment of the invention also provides a kind of monitoring abnormal state devices for construction site, comprising:
Benchmark image obtains module, for obtaining the original state image in several regions in the construction site as base
Quasi- image；
Images to be recognized obtains module, the image conduct after the original state image is obtained for the period at preset timed intervals
Images to be recognized；
Image pre-processing module, for carrying out image preprocessing respectively to the benchmark image and the images to be recognized,
Obtain benchmark pretreatment image and pretreatment image to be identified；
Similarity calculation module, for similar with the pretreatment image progress to be identified to the benchmark pretreatment image
Degree calculates, and judges between two images with the presence or absence of otherness；
Image tagged report generation module, for the benchmark pretreatment image of otherness and described to be identified to will be present
Processing is marked in pretreatment image, and generates corresponding image tagged report.
The embodiment of the invention also provides a kind of monitoring abnormal state device for construction site, including processor, deposit
Reservoir and storage in the memory and are configured as the computer program executed by the processor, and the processor is held
Such as the above-mentioned monitoring abnormal state method for construction site is realized when the row computer program.
The embodiment of the invention also provides a kind of computer readable storage medium, the computer readable storage medium packet
Include the computer program of storage, wherein where controlling the computer readable storage medium in computer program operation
Equipment executes such as the above-mentioned monitoring abnormal state method for construction site.
Compared with the existing technology, a kind of monitoring abnormal state method for construction site provided in an embodiment of the present invention
Beneficial effect is: the monitoring abnormal state method for construction site, comprising: obtain several in the construction site
The original state image in region is as benchmark image；The period obtains the image conduct after the original state image at preset timed intervals
Images to be recognized；Image preprocessing is carried out to the benchmark image and the images to be recognized respectively, obtains benchmark pretreatment figure
Picture and pretreatment image to be identified；Similarity meter is carried out to the benchmark pretreatment image and the pretreatment image to be identified
It calculates, and judges between two images with the presence or absence of otherness；Will be present otherness the benchmark pretreatment image and it is described to
Processing is marked in identification pretreatment image, and generates corresponding image tagged report.If this method passes through in construction site
The benchmark pre-image and images to be recognized progress image procossing in dry region, to calculate its similarity and generate image tagged report
It accuses, understands the work development condition of construction site in time according to image tagged report, improve construction site and carry out about work
The accuracy of report reduces the workload of staff.
Detailed description of the invention
Fig. 1 is a kind of process signal of monitoring abnormal state method for construction site provided in an embodiment of the present invention
Figure；
Fig. 2 is a kind of structural representation of monitoring abnormal state device for construction site provided in an embodiment of the present invention
Figure.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Referring to Fig. 1, it is a kind of monitoring abnormal state method for construction site provided in an embodiment of the present invention
Flow diagram, the monitoring abnormal state method for construction site, comprising:
S100: the original state image in several regions in the construction site is obtained as benchmark image；
S200: the period obtains the image after the original state image as images to be recognized at preset timed intervals；
S300: carrying out image preprocessing to the benchmark image and the images to be recognized respectively, obtains benchmark pretreatment
Image and pretreatment image to be identified；
S400: similarity calculation is carried out to the benchmark pretreatment image and the pretreatment image to be identified, and is judged
It whether there is otherness between two images；
S500: place is marked in the benchmark pretreatment image and the pretreatment image to be identified that otherness will be present
Reason, and generate corresponding image tagged report.
In the present embodiment, construction enterprises can be equipped with comprehensive image collecting device, while the enterprise that constructs at the construction field (site)
Construction site can be divided into several regions according to the actual situation and is numbered by industry, be so for convenience construction carry out and
Region recognition is convenient, wherein the rule of region division can according to the height in geographical location, earth's surface permeability performance, whether there is
Situations such as high-voltage line etc., are divided；Image collecting device includes but is not limited to the equipment such as camera, camera.
Wherein, the public lecture of described image label shows the specific number in having differences property region and the benchmark image in region
And images to be recognized, duty personnel can mark report to find the changed area in construction site in time according to described image
The accuracy for carrying out report about work in construction site so that the region be further processed, while also being improved, no in domain
On-the-spot investigation is carried out with construction site is gone to, reduces the workload of staff.
In an alternative embodiment, S200: the period obtains the image after the original state image at preset timed intervals
As images to be recognized.
In the present embodiment, the preset period of time can be set according to the actual situation, can be one day, one week etc.
Deng, such as when constructing urgent, preset period of time can be shorter；If some area requirement is completed a certain within the prescribed time-limit
Construction task, at this time preset period of time can using the prescribed time-limit as reference standard, within this prescribed time-limit to the region into
The multiple image recognition of row, understands construction speed.
In an alternative embodiment, image S300: is carried out respectively to the benchmark image and the images to be recognized
Pretreatment, obtains benchmark pretreatment image and pretreatment image to be identified, specifically includes:
Image denoising, enhancing processing are carried out to the benchmark image and the images to be recognized respectively, benchmark is obtained and locates in advance
Manage image and pretreatment image to be identified.
In the present embodiment, due to image during generation and transmission usually because of the interference and influence by various noises
But image deterioration, this will have an adverse effect to the processing of subsequent image and image vision recognition effect.Therefore, in order to inhibit
Noise, improving image quality, convenient for higher level processing, it is necessary to image be denoised, enhance pretreatment.
In an alternative embodiment, S400: to the benchmark pretreatment image and the pretreatment image to be identified
Similarity calculation is carried out, and judges to specifically include between two images with the presence or absence of otherness:
Average hash algorithm processing is carried out to the benchmark pretreatment image and the pretreatment image to be identified, obtains two
Open the similarity of image；
If the similarity is unsatisfactory for default first condition, the benchmark pretreatment image and the pretreatment to be identified
Having differences property of image.
Further, described that average Hash calculation is carried out to the benchmark pretreatment image and the pretreatment image to be identified
Method processing, obtains the similarity of two images, specifically includes:
Ratio processing is zoomed in and out to the benchmark pretreatment image and the pretreatment image to be identified respectively, obtains system
The benchmark pretreatment image and pretreatment image to be identified of one ratio；
To after common scale benchmark pretreatment image and pretreatment image to be identified carry out gray processing processing respectively, obtain
Benchmark gray level image and gray level image to be identified；
Calculated for pixel values is carried out to the pixel in the benchmark gray level image and the gray level image to be identified, and is calculated
The average pixel value of correspondence image；
According to the average pixel value, the benchmark gray level image and the corresponding image of the gray level image to be identified are obtained
Fingerprint；
According to described image fingerprint, the Hamming distance between the benchmark gray level image and the gray level image to be identified is obtained
From so that the similarity of the benchmark pretreatment image and the pretreatment image to be identified be calculated.
In the present embodiment, the default first condition is also to be set according to the actual situation, because of different regions
It is also different to Measurement of Similarity such as very stringent for the abnormality requirement in some regions, as long as region has been made slightly
Micro- change can think region there are abnormality, and the similarity of image just has to reach 100%, such as certain
The region that region mustn't break ground or have is to require to excavate within a limited period of time；For another example mustn't parked vehicles, mustn't stack it is miscellaneous
Object etc.；For some regions abnormality require be not it is very stringent, the similarity of image can be carried out dropping accordingly
Low-key is whole, for example is only to carry out a monitoring to the job schedule in the region to understand, and there is no need to reach for the similarity of image
100%.
Wherein, ratio processing is zoomed in and out respectively to the benchmark pretreatment image and the pretreatment image to be identified,
The benchmark pretreatment image and pretreatment image to be identified of common scale are obtained, General maps are as being uniformly processed as 8x8
Scaled image, according to the average pixel value being calculated, obtains image and refers to so that each image be made to possess 64 pixels
Line, what the pixel value of pixel was less than average pixel value in image is denoted as 0, is denoted as 1 more than or equal to 1.
Referring to Fig. 2, it is a kind of monitoring abnormal state device for construction site provided in an embodiment of the present invention
Structural schematic diagram, the monitoring abnormal state device for construction site, comprising:
Benchmark image obtains module 1, for obtaining the original state image conduct in several regions in the construction site
Benchmark image；
Images to be recognized obtains module 2, and the image after the original state image is obtained for the period at preset timed intervals is made
For images to be recognized；
Image pre-processing module 3, for carrying out image preprocessing respectively to the benchmark image and the images to be recognized,
Obtain benchmark pretreatment image and pretreatment image to be identified；
Similarity calculation module 4, for carrying out phase to the benchmark pretreatment image and the pretreatment image to be identified
It calculates, and is judged between two images with the presence or absence of otherness like degree；
Image tagged report generation module 5, for the benchmark pretreatment image of otherness and described wait know to will be present
Processing is marked in other pretreatment image, and generates corresponding image tagged report.
In the present embodiment, construction enterprises can be equipped with comprehensive image collecting device, while the enterprise that constructs at the construction field (site)
Construction site can be divided into several regions according to the actual situation and is numbered by industry, be so for convenience construction carry out and
Region recognition is convenient, wherein the rule of region division can according to the height in geographical location, earth's surface permeability performance, whether there is
Situations such as high-voltage line etc., are divided；Image collecting device includes but is not limited to the equipment such as camera, camera.
Wherein, the public lecture of described image label shows the specific number in having differences property region and the benchmark image in region
And images to be recognized, duty personnel can mark report to find the changed area in construction site in time according to described image
The accuracy for carrying out report about work in construction site so that the region be further processed, while also being improved, no in domain
On-the-spot investigation is carried out with construction site is gone to, reduces the workload of staff.
In an alternative embodiment, image pre-processing module 3 includes:
Image pre-processing unit, for carrying out image denoising respectively to the benchmark image and the images to be recognized, increasing
Strength reason, obtains benchmark pretreatment image and pretreatment image to be identified.
In the present embodiment, due to image during generation and transmission usually because of the interference and influence by various noises
But image deterioration, this will have an adverse effect to the processing of subsequent image and image vision recognition effect.Therefore, in order to inhibit
Noise, improving image quality, convenient for higher level processing, it is necessary to image be denoised, enhance pretreatment.
In an alternative embodiment, similarity calculation module 4 includes:
Similarity calculated, for being averaged to the benchmark pretreatment image and the pretreatment image to be identified
Hash algorithm processing, obtains the similarity of two images；
Otherness judging unit, if being unsatisfactory for default first condition, the benchmark pretreatment figure for the similarity
Picture and the having differences property of pretreatment image to be identified.
Further, similarity calculated includes:
Image scaling ratio handles subelement, for the benchmark pretreatment image and the pretreatment image to be identified
Ratio processing is zoomed in and out respectively, obtains the benchmark pretreatment image and pretreatment image to be identified of common scale；
Gray processing handles subelement, for the benchmark pretreatment image and pretreatment image to be identified point after common scale
Not carry out gray processing processing, obtain benchmark gray level image and gray level image to be identified；
Average pixel value computation subunit, for the picture in the benchmark gray level image and the gray level image to be identified
Vegetarian refreshments carries out calculated for pixel values, and calculates the average pixel value of correspondence image；
Finger image computation subunit, for according to the average pixel value, obtaining the benchmark gray level image and described
The corresponding finger image of gray level image to be identified；
Similarity calculation subelement, for according to described image fingerprint, obtaining the benchmark gray level image and described wait know
Hamming distance between other gray level image, so that the benchmark pretreatment image and the pretreatment image to be identified be calculated
Similarity.
In the present embodiment, the default first condition is also to be set according to the actual situation, because of different regions
It is also different to Measurement of Similarity such as very stringent for the abnormality requirement in some regions, as long as region has been made slightly
Micro- change can think region there are abnormality, and the similarity of image just has to reach 100%, such as certain
The region that region mustn't break ground or have is to require to excavate within a limited period of time；For another example mustn't parked vehicles, mustn't stack it is miscellaneous
Object etc.；For some regions abnormality require be not it is very stringent, the similarity of image can be carried out dropping accordingly
Low-key is whole, for example is only to carry out a monitoring to the job schedule in the region to understand, and there is no need to reach for the similarity of image
100%.
Wherein, ratio processing is zoomed in and out respectively to the benchmark pretreatment image and the pretreatment image to be identified,
The benchmark pretreatment image and pretreatment image to be identified of common scale are obtained, General maps are as being uniformly processed as 8x8
Scaled image, according to the average pixel value being calculated, obtains image and refers to so that each image be made to possess 64 pixels
Line, what the pixel value of pixel was less than average pixel value in image is denoted as 0, is denoted as 1 more than or equal to 1.
The embodiment of the invention also provides a kind of monitoring abnormal state device for construction site, including processor, deposit
Reservoir and storage in the memory and are configured as the computer program executed by the processor, and the processor is held
Such as the above-mentioned monitoring abnormal state method for construction site is realized when the row computer program.
Illustratively, the computer program can be divided into one or more module/units, one or more
A module/unit is stored in the memory, and is executed by the processor, to complete the present invention.It is one or more
A module/unit can be the series of computation machine program instruction section that can complete specific function, and the instruction segment is for describing institute
State implementation procedure of the computer program in the monitoring abnormal state device for construction site.For example, the computer
Program can be divided into the functional module of the monitoring abnormal state device for construction site as shown in Figure 2.
The monitoring abnormal state device for construction site can be desktop PC, notebook, palm PC
And cloud server etc. calculates equipment.The * * device/terminal device may include, but is not limited only to, processor, memory.This
Field technical staff is appreciated that the schematic diagram is only used for the example of the monitoring abnormal state device of construction site, and
The restriction to the monitoring abnormal state device for construction site is not constituted, may include components more more or fewer than diagram,
Perhaps certain components or different components are combined, such as the * * device/terminal device can also be set including input and output
Standby, network access equipment, bus etc..
Alleged processor can be central processing unit (Central Processing Unit, CPU), can also be it
His general processor, digital signal processor (Digital Signal Processor, DSP), specific integrated circuit
(Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor is also possible to any conventional processor
Deng the processor is the control centre of the monitoring abnormal state device for construction site, utilizes various interfaces and line
Road connection is entirely used for the various pieces of the monitoring abnormal state device of construction site.
The memory can be used for storing the computer program and/or module, and the processor is by operation or executes
Computer program in the memory and/or module are stored, and calls the data being stored in memory, described in realization
The various functions of monitoring abnormal state device for construction site.The memory can mainly include storing program area and storage
Data field, wherein storing program area can application program needed for storage program area, at least one function (for example sound plays
Function, image player function etc.) etc.；Storage data area, which can be stored, uses created data (such as audio number according to mobile phone
According to, phone directory etc.) etc..In addition, memory may include high-speed random access memory, it can also include non-volatile memories
Device, such as hard disk, memory, plug-in type hard disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure
Digital, SD) card, flash card (Flash Card), at least one disk memory, flush memory device or other volatibility are solid
State memory device.
Wherein, if the integrated module/unit of the monitoring abnormal state device for construction site is with software function
The form of unit is realized and when sold or used as an independent product, can store in a computer-readable storage medium
In.Based on this understanding, the present invention realizes all or part of the process in above-described embodiment method, can also pass through computer
Program is completed to instruct relevant hardware, and the computer program can be stored in a computer readable storage medium, should
Computer program is when being executed by processor, it can be achieved that the step of above-mentioned each embodiment of the method.Wherein, the computer program
Including computer program code, the computer program code can be source code form, object identification code form, executable file
Or certain intermediate forms etc..The computer-readable medium may include: can carry the computer program code any
Entity or device, recording medium, USB flash disk, mobile hard disk, magnetic disk, CD, computer storage, read-only memory (ROM, Read-
Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and
Software distribution medium etc..It should be noted that the content that the computer-readable medium includes can be according in jurisdiction
Legislation and the requirement of patent practice carry out increase and decrease appropriate, such as in certain jurisdictions, according to legislation and patent practice, meter
Calculation machine readable medium does not include electric carrier signal and telecommunication signal.
It should be noted that the apparatus embodiments described above are merely exemplary, wherein described be used as separation unit
The unit of explanation may or may not be physically separated, and component shown as a unit can be or can also be with
It is not physical unit, it can it is in one place, or may be distributed over multiple network units.It can be according to actual
It needs that some or all of the modules therein is selected to achieve the purpose of the solution of this embodiment.In addition, device provided by the invention
In embodiment attached drawing, the connection relationship between module indicate between them have communication connection, specifically can be implemented as one or
A plurality of communication bus or signal wire.Those of ordinary skill in the art are without creative efforts, it can understand
And implement.
The embodiment of the invention also provides a kind of computer readable storage medium, the computer readable storage medium includes
The computer program of storage, wherein control in computer program operation and set where the computer readable storage medium
It is standby to execute such as the above-mentioned monitoring abnormal state method for construction site.
Compared with the existing technology, a kind of monitoring abnormal state method for construction site provided in an embodiment of the present invention
Beneficial effect is: the monitoring abnormal state method for construction site, comprising: obtain several in the construction site
The original state image in region is as benchmark image；The period obtains the image conduct after the original state image at preset timed intervals
Images to be recognized；Image preprocessing is carried out to the benchmark image and the images to be recognized respectively, obtains benchmark pretreatment figure
Picture and pretreatment image to be identified；Similarity meter is carried out to the benchmark pretreatment image and the pretreatment image to be identified
It calculates, and judges between two images with the presence or absence of otherness；Will be present otherness the benchmark pretreatment image and it is described to
Processing is marked in identification pretreatment image, and generates corresponding image tagged report.If this method passes through in construction site
The benchmark pre-image and images to be recognized progress image procossing in dry region, to calculate its similarity and generate image tagged report
It accuses, understands the work development condition of construction site in time according to image tagged report, improve construction site and carry out about work
The accuracy of report reduces the workload of staff.
The above is a preferred embodiment of the present invention, it is noted that for those skilled in the art
For, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also considered as
Protection scope of the present invention.
Claims (7)
1. a kind of monitoring abnormal state method for construction site characterized by comprising
The original state image in several regions in the construction site is obtained as benchmark image；
The period obtains the image after the original state image as images to be recognized at preset timed intervals；
Image preprocessing is carried out to the benchmark image and the images to be recognized respectively, obtains benchmark pretreatment image and wait know
Other pretreatment image；
Similarity calculation is carried out to the benchmark pretreatment image and the pretreatment image to be identified, and judge two images it
Between whether there is otherness；
Processing is marked in the benchmark pretreatment image and the pretreatment image to be identified that otherness will be present, and generates
Corresponding image tagged report.
2. being used for the monitoring abnormal state method of construction site as described in claim 1, which is characterized in that described to the base
Quasi- image and the images to be recognized carry out image preprocessing respectively, obtain benchmark pretreatment image and pretreatment figure to be identified
Picture specifically includes:
Image denoising, enhancing processing are carried out to the benchmark image and the images to be recognized respectively, obtain benchmark pretreatment figure
Picture and pretreatment image to be identified.
3. being used for the monitoring abnormal state method of construction site as described in claim 1, which is characterized in that described to the base
Quasi- pretreatment image and the pretreatment image to be identified carry out similarity calculation, and judge between two images with the presence or absence of poor
The opposite sex specifically includes:
Average hash algorithm processing is carried out to the benchmark pretreatment image and the pretreatment image to be identified, obtains two figures
The similarity of picture；
If the similarity is unsatisfactory for default first condition, the benchmark pretreatment image and the pretreatment image to be identified
Having differences property.
4. being used for the monitoring abnormal state method of construction site as claimed in claim 3, which is characterized in that described to the base
Quasi- pretreatment image and the pretreatment image to be identified carry out average hash algorithm processing, obtain the similarity of two images,
It specifically includes:
Ratio processing is zoomed in and out to the benchmark pretreatment image and the pretreatment image to be identified respectively, obtains unified ratio
The benchmark pretreatment image and pretreatment image to be identified of example；
To after common scale benchmark pretreatment image and pretreatment image to be identified carry out gray processing processing respectively, obtain benchmark
Gray level image and gray level image to be identified；
Calculated for pixel values is carried out to the pixel in the benchmark gray level image and the gray level image to be identified, and calculates correspondence
The average pixel value of image；
According to the average pixel value, obtains the benchmark gray level image and the corresponding image of the gray level image to be identified refers to
Line；
According to described image fingerprint, the Hamming distance between the benchmark gray level image and the gray level image to be identified is obtained,
To which the similarity of the benchmark pretreatment image and the pretreatment image to be identified be calculated.
5. a kind of monitoring abnormal state device for construction site characterized by comprising
Benchmark image obtains module, for obtaining the original state image in several regions in the construction site as reference map
Picture；
Images to be recognized obtains module, and the image after the original state image is obtained for the period at preset timed intervals is used as wait know
Other image；
Image pre-processing module is obtained for carrying out image preprocessing respectively to the benchmark image and the images to be recognized
Benchmark pretreatment image and pretreatment image to be identified；
Similarity calculation module, by being carried out based on similarity to the benchmark pretreatment image and the pretreatment image to be identified
It calculates, and judges between two images with the presence or absence of otherness；
Image tagged report generation module, for will be present otherness the benchmark pretreatment image and the pre- place to be identified
Processing is marked in reason image, and generates corresponding image tagged report.
6. a kind of monitoring abnormal state device for construction site, including processor, memory and it is stored in the storage
In device and it is configured as the computer program executed by the processor, the processor is realized when executing the computer program
The monitoring abnormal state method for construction site as described in any one of Claims 1-4.
7. a kind of computer readable storage medium, which is characterized in that the computer readable storage medium includes the calculating of storage
Machine program, wherein equipment where controlling the computer readable storage medium in computer program operation is executed as weighed
Benefit require any one of 1 to 4 described in be used for construction site monitoring abnormal state method.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910091504.1A CN109858441A (en) | 2019-01-30 | 2019-01-30 | A kind of monitoring abnormal state method and apparatus for construction site |
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| CN110458044A (en) * | 2019-07-22 | 2019-11-15 | 苏州慧润百年物联科技有限公司 | A kind of judgement ground immersion method based on image recognition |
| CN111144241A (en) * | 2019-12-13 | 2020-05-12 | 深圳奇迹智慧网络有限公司 | Target identification method and device based on image verification and computer equipment |
| CN111428592A (en) * | 2020-03-12 | 2020-07-17 | 厦门路桥信息股份有限公司 | Bored concrete pile identification method and system based on deep learning |
| CN113353754A (en) * | 2021-06-09 | 2021-09-07 | 揭阳市聆讯软件有限公司 | Method for preventing camera in elevator from shifting through artificial intelligence |
| CN113436194A (en) * | 2021-08-26 | 2021-09-24 | 北京工业大数据创新中心有限公司 | Abnormity detection method, device and equipment for wind turbine generator |
| WO2023124385A1 (en) * | 2021-12-31 | 2023-07-06 | 上海商汤智能科技有限公司 | Photographic apparatus shielding detection method and apparatus, and electronic device, storage medium and computer program product |
| CN117128888A (en) * | 2023-10-26 | 2023-11-28 | 天津华夏联盛汽车部件有限公司 | Error identification method for irregular bumper surface shape |
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