CN109753894A - Alarm method and device - Google Patents
Alarm method and device Download PDFInfo
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- CN109753894A CN109753894A CN201811559936.2A CN201811559936A CN109753894A CN 109753894 A CN109753894 A CN 109753894A CN 201811559936 A CN201811559936 A CN 201811559936A CN 109753894 A CN109753894 A CN 109753894A
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Abstract
The invention discloses a kind of alarm method and devices.Wherein, this method comprises: obtaining the image data of the collected tower bar present position of picture pick-up device；Any one frame image in above-mentioned image data is extracted at interval of the predetermined time；By comparing above-mentioned any one frame image and sample image, whether determine in above-mentioned any one frame image comprising mechanical equipment and/or haulage vehicle, wherein above-mentioned mechanical equipment and above-mentioned haulage vehicle are included at least in above-mentioned sample image；In the case where including above-mentioned mechanical equipment and/or above-mentioned haulage vehicle in determining above-mentioned any one frame image, outputting alarm information is alerted.It is not only time-consuming, laborious that the present invention solves the monitoring mode for being directed to and preventing heavy mechanical equipment from hitting tower bar, but also is difficult to the technical issues of making timely reaction to collision accident.
Description
Technical field
The present invention relates to warning technology fields, in particular to a kind of alarm method and device.
Background technique
In the prior art, for the monitoring for preventing heavy mechanical equipment collision tower bar, it there is no particularly preferred do both at home and abroad
Method is manufactured almost exclusively by macroscopic mode to judge defect；But this judgment mode is not only time-consuming, laborious,
And it is difficult to make collision accident timely reaction.
For above-mentioned problem, currently no effective solution has been proposed.
Summary of the invention
The embodiment of the invention provides a kind of alarm method and devices, prevent heavy mechanical equipment from hitting at least to solve to be directed to
The monitoring mode of tower bar is not only time-consuming, laborious, but also is difficult to the technical issues of making timely reaction to collision accident.
According to an aspect of an embodiment of the present invention, a kind of alarm method is provided, comprising: obtain picture pick-up device and collect
Tower bar present position image data；Any one frame image in above-mentioned image data is extracted at interval of the predetermined time；Pass through
Above-mentioned any one frame image and sample image are compared, whether is determined in above-mentioned any one frame image comprising mechanical equipment and/or fortune
Defeated vehicle, wherein above-mentioned mechanical equipment and above-mentioned haulage vehicle are included at least in above-mentioned sample image；It is above-mentioned any one determining
In the case where including above-mentioned mechanical equipment and/or above-mentioned haulage vehicle in frame image, outputting alarm information is alerted.
Further, before the image data for obtaining the collected tower bar present position of picture pick-up device, the above method is also
It include: to establish image feature base；Obtain above-mentioned sample image；The above-mentioned image of the above-mentioned sample image typing that will acquire is special
Levy database.
Further, it by comparing above-mentioned any one frame image and sample image, determines in above-mentioned any one frame image
Before whether comprising mechanical equipment and/or haulage vehicle, the above method further include: above-mentioned any one frame image is converted into gray scale
It is worth image；Identify the characteristic point and characteristic boundary of object in above-mentioned gray-value image；According to features described above point and features described above side
Boundary is compared above-mentioned any one frame image and above-mentioned sample image, wherein the type of above-mentioned sample image includes at least:
Above-mentioned gray-value image.
Further, before outputting alarm information is alerted, the above method further include: identify above-mentioned mechanical equipment
And/or haulage vehicle whether be specified type mechanical equipment and/or haulage vehicle；Alternatively, judge above-mentioned mechanical equipment and/or
Whether the volume of haulage vehicle is greater than preset threshold；In recognition result be above-mentioned mechanical equipment and/or haulage vehicle is above-mentioned finger
Determine the mechanical equipment and/or haulage vehicle of type；Alternatively, in the body that judging result is above-mentioned mechanical equipment and/or haulage vehicle
In the case that product is greater than above-mentioned preset threshold, determines that above-mentioned mechanical equipment and/or above-mentioned haulage vehicle exist and collide above-mentioned tower bar
Risk, then export above-mentioned warning information and alerted.
According to another aspect of an embodiment of the present invention, a kind of alarm device is additionally provided, comprising: first obtains module, uses
In the image data for obtaining the collected tower bar present position of picture pick-up device；Extraction module, for being extracted at interval of the predetermined time
Any one frame image in above-mentioned image data；First determining module, for by comparing above-mentioned any one frame image and sample
Whether image determines in above-mentioned any one frame image comprising mechanical equipment and/or haulage vehicle, wherein in above-mentioned sample image
Including at least above-mentioned mechanical equipment and above-mentioned haulage vehicle；Alarm module, for including in determining above-mentioned any one frame image
In the case where above-mentioned mechanical equipment and/or above-mentioned haulage vehicle, outputting alarm information is alerted.
Further, above-mentioned apparatus further include: module is established, for establishing image feature base；Second obtains module,
For obtaining above-mentioned sample image；Recording module, the above-mentioned above-mentioned image feature data of sample image typing for will acquire
Library.
Further, above-mentioned apparatus further include: conversion module, for above-mentioned any one frame image to be converted to gray value figure
Picture；Identification module, for identification in above-mentioned gray-value image object characteristic point and characteristic boundary；Comparison module is used for foundation
Features described above point and features described above boundary are compared above-mentioned any one frame image and above-mentioned sample image, wherein above-mentioned sample
The type of this image includes at least: above-mentioned gray-value image.
Further, above-mentioned apparatus further include: processing module, above-mentioned mechanical equipment and/or haulage vehicle are for identification
No mechanical equipment and/or haulage vehicle for specified type；Alternatively, judging the volume of above-mentioned mechanical equipment and/or haulage vehicle
Whether preset threshold is greater than；Second determining module, for being above-mentioned mechanical equipment in recognition result and/or haulage vehicle is above-mentioned
The mechanical equipment and/or haulage vehicle of specified type；Alternatively, being above-mentioned mechanical equipment and/or haulage vehicle in judging result
In the case that volume is greater than above-mentioned preset threshold, determines that above-mentioned mechanical equipment and/or above-mentioned haulage vehicle exist and collide above-mentioned tower
The risk of bar then exports above-mentioned warning information and is alerted.
According to another aspect of an embodiment of the present invention, a kind of storage medium is additionally provided, above-mentioned storage medium includes storage
Program, wherein equipment where controlling above-mentioned storage medium in above procedure operation executes the above-mentioned alarm side of any one
Method.
According to another aspect of an embodiment of the present invention, a kind of processor is additionally provided, above-mentioned processor is used to run program,
Wherein, any one above-mentioned alarm method is executed when above procedure is run.
In embodiments of the present invention, pass through the image data of the acquisition collected tower bar present position of picture pick-up device；Every
Any one frame image in above-mentioned image data is extracted every the predetermined time；By comparing above-mentioned any one frame image and sample graph
Whether picture determines in above-mentioned any one frame image comprising mechanical equipment and/or haulage vehicle, wherein in above-mentioned sample image extremely
It less include above-mentioned mechanical equipment and above-mentioned haulage vehicle；In determining above-mentioned any one frame image comprising above-mentioned mechanical equipment and/
Or in the case where above-mentioned haulage vehicle, outputting alarm information is alerted, and has been reached and has been effectively prevent heavy mechanical equipment and/or big
Type haulage vehicle collides the purpose that the event of tower bar occurs, to realize automation, be monitored the skill of judgement without personnel
Art effect, and then solve not only time-consuming, laborious for the monitoring mode that prevents heavy mechanical equipment from hitting tower bar, but also it is difficult to pair
Collision accident makes the technical issues of timely reaction.
Detailed description of the invention
The drawings described herein are used to provide a further understanding of the present invention, constitutes part of this application, this hair
Bright illustrative embodiments and their description are used to explain the present invention, and are not constituted improper limitations of the present invention.In the accompanying drawings:
Fig. 1 is a kind of flow chart of alarm method according to an embodiment of the present invention；
Fig. 2 is a kind of flow chart of optional alarm method according to an embodiment of the present invention；
Fig. 3 is a kind of flow chart of optional alarm method according to an embodiment of the present invention；
Fig. 4 is a kind of structural schematic diagram of alarm device according to an embodiment of the present invention.
Specific embodiment
In order to enable those skilled in the art to better understand the solution of the present invention, below in conjunction in the embodiment of the present invention
Attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is only
The embodiment of a part of the invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people
The model that the present invention protects all should belong in member's every other embodiment obtained without making creative work
It encloses.
It should be noted that description and claims of this specification and term " first " in above-mentioned attached drawing, "
Two " etc. be to be used to distinguish similar objects, without being used to describe a particular order or precedence order.It should be understood that using in this way
Data be interchangeable under appropriate circumstances, so as to the embodiment of the present invention described herein can in addition to illustrating herein or
Sequence other than those of description is implemented.In addition, term " includes " and " having " and their any deformation, it is intended that cover
Cover it is non-exclusive include, for example, the process, method, system, product or equipment for containing a series of steps or units are not necessarily limited to
Step or unit those of is clearly listed, but may include be not clearly listed or for these process, methods, product
Or other step or units that equipment is intrinsic.
Embodiment 1
According to embodiments of the present invention, a kind of embodiment of alarm method is provided, it should be noted that in the process of attached drawing
The step of illustrating can execute in a computer system such as a set of computer executable instructions, although also, in process
Logical order is shown in figure, but in some cases, it can be to be different from shown or described by sequence execution herein
Step.
Fig. 1 is a kind of flow chart of alarm method according to an embodiment of the present invention, as shown in Figure 1, this method includes as follows
Step:
Step S102 obtains the image data of the collected tower bar present position of picture pick-up device；
Step S104 extracts any one frame image in above-mentioned image data at interval of the predetermined time；
Step S106, by comparing above-mentioned any one frame image and sample image, determining in above-mentioned any one frame image is
No includes mechanical equipment and/or haulage vehicle, wherein above-mentioned mechanical equipment and above-mentioned transport are included at least in above-mentioned sample image
Vehicle；
Step S108 includes above-mentioned mechanical equipment and/or above-mentioned haulage vehicle in determining above-mentioned any one frame image
In the case of, outputting alarm information is alerted.
Optionally, above-mentioned picture pick-up device can be video camera, camera etc., acquire tower bar present position by picture pick-up device
Image data, wherein above-mentioned image data can be video image data (dynamic image), can be, but not limited to control camera shooting
Equipment acquires above-mentioned video image data by frame, and server obtains the collected above-mentioned image data of picture pick-up device, can be based on
Extract any one frame image in above-mentioned image data at interval of the predetermined time, judge in above-mentioned any one frame image whether
Comprising mechanical equipment and/or haulage vehicle, and judging result is fed back, outputting alarm information is determined whether according to judging result.
In an alternative embodiment, peace can picture pick-up device be combined with the audible and visual alarm equipment of outputting alarm information
It is fitted together, picture pick-up device, audible and visual alarm equipment are connect with server, are worked by the control of server.
Optionally, the above-mentioned predetermined time can be, but not limited to be 5 seconds, by extracting above-mentioned picture number at interval of the predetermined time
Any one frame image in；And then it can be determined above-mentioned any one by comparing above-mentioned any one frame image and sample image
It whether include mechanical equipment and/or haulage vehicle in frame image.
As a kind of optional embodiment, the camera by being mounted on tower bar present position acquires the picture number before tower bar
According to, and server extracts a frame image at interval of certain time, and the characteristic point of image is completed using digital image processing techniques
It differentiates, identifies the features such as contour of object, the contour of object in image data；By establishing a variety of big machineries and haulage vehicle
Image feature base, and by the above-mentioned image feature base of sample image typing, by compare above-mentioned any one frame image and
Whether sample image determines comprising mechanical equipment and/or haulage vehicle in above-mentioned any one frame image, in above-mentioned any one frame figure
In the case where whether including mechanical equipment and/or haulage vehicle as in, it may determine whether as big machinery and/or haulage vehicle
Close to tower bar, when being determined as big machinery and/or haulage vehicle close to tower bar, alarm command is sent to sound-light alarm equipment,
Control sound-light alarm equipment outputting alarm information is alerted.
By the above embodiments of the present application, by carrying out good monitoring, can be effectively prevented heavy mechanical equipment and/or
The event that mass transit vehicle collides tower bar occurs, and realizes automation, is monitored judgement without personnel, in the embodiment of the present application
Prediction judgment mode it is not only time saving and energy saving, but also react timely.
In embodiments of the present invention, pass through the image data of the acquisition collected tower bar present position of picture pick-up device；Every
Any one frame image in above-mentioned image data is extracted every the predetermined time；By comparing above-mentioned any one frame image and sample graph
Whether picture determines in above-mentioned any one frame image comprising mechanical equipment and/or haulage vehicle, wherein in above-mentioned sample image extremely
It less include above-mentioned mechanical equipment and above-mentioned haulage vehicle；In determining above-mentioned any one frame image comprising above-mentioned mechanical equipment and/
Or in the case where above-mentioned haulage vehicle, outputting alarm information is alerted, and has been reached and has been effectively prevent heavy mechanical equipment and/or big
Type haulage vehicle collides the purpose that the event of tower bar occurs, to realize automation, be monitored the skill of judgement without personnel
Art effect, and then solve not only time-consuming, laborious for the monitoring mode that prevents heavy mechanical equipment from hitting tower bar, but also it is difficult to pair
Collision accident makes the technical issues of timely reaction.
In an alternative embodiment, Fig. 2 is a kind of process of optional alarm method according to an embodiment of the present invention
Figure, as shown in Fig. 2, before the image data for obtaining the collected tower bar present position of picture pick-up device, the above method further include:
Step S202, establishes image feature base；
Step S204 obtains above-mentioned sample image；
Step S206, the above-mentioned above-mentioned image feature base of sample image typing that will acquire.
Optionally, above-mentioned sample image can be, but not limited to as a large amount of various heavy-duty machineries, the tail portion of truck, sides etc. easily
Blow down the photo of the equipment of tower bar.
In an alternative embodiment, as shown in figure 3, by comparing above-mentioned any one frame image and sample image,
Before whether determining in above-mentioned any one frame image comprising mechanical equipment and/or haulage vehicle, the above method further include:
Above-mentioned any one frame image is converted to gray-value image by step S302；
Step S304 identifies the characteristic point and characteristic boundary of object in above-mentioned gray-value image；
Step S306, according to features described above point and features described above boundary, to above-mentioned any one frame image and above-mentioned sample graph
As being compared, wherein the type of above-mentioned sample image includes at least: above-mentioned gray-value image.
Optionally, in the embodiment of the present application, any one frame image extracted can be converted into gray-value image, answered
It is identified in above-mentioned gray-value image in the characteristic point and characteristic boundary, with image feature base of object with the means of image procossing
Sample image compare, if comparison result is same or similar, it is determined that comprising above-mentioned in above-mentioned any one frame image
Mechanical equipment and/or above-mentioned haulage vehicle, outputting alarm information are alerted.
It should be noted that the technological means arrived used in the process of Digital Image Processing is many kinds of, in general mainly
What is surrounded is image information conversion process to carry out the work, such as: image acquisition, denoising, compression, segmentation and edge detection etc..
Any one frame image extracted is converted into gray-value image, the feature of object in gray-value image is determined by image procossing
Point and characteristic boundary.
Also, since the object of objective world is three-dimensional, and by picture pick-up device obtain image data be it is two-dimensional,
And then the three-dimensional information of target can be perceived by two dimensional image.Wherein, common feature point extraction algorithm has SIFT feature to mention
Take algorithm, Harris feature detection algorithm and SUSAN feature detection algorithm etc..Characteristic point is usually used in target detection, image is spelled
Patch, target following etc., line feature refer to line segment obvious in image, can be judged in image data by line feature
Hold, for example, the characteristic boundary etc. of the profile of object, bridge, it is significantly local that characteristic boundary is typically in grey scale change in image,
Characteristic boundary can be determined by carrying out differential to picture point.
Application scheme is by the way that image processing method and actual monitored to be combined together, so that image processing method is able to
Practical application is compared by the image of big machineries a large amount of in the image data and database that take, can be identified easily
The big machinery of tower bar is hit, and prevents the generation of accident by sound-light alarm means.
In an alternative embodiment, before outputting alarm information is alerted, the above method further include:
Step S402, identify above-mentioned mechanical equipment and/or haulage vehicle whether be specified type mechanical equipment and/or fortune
Defeated vehicle；Alternatively, judging whether the volume of above-mentioned mechanical equipment and/or haulage vehicle is greater than preset threshold；
Step S404, in recognition result be above-mentioned mechanical equipment and/or haulage vehicle is that the machinery of above-mentioned specified type is set
Standby and/or haulage vehicle；Alternatively, being greater than above-mentioned preset in judging result for the volume of above-mentioned mechanical equipment and/or haulage vehicle
In the case where threshold value, determine that above-mentioned mechanical equipment and/or above-mentioned haulage vehicle have the risk for colliding above-mentioned tower bar, then in output
Warning information is stated to be alerted.
Optionally, the mechanical equipment and/or haulage vehicle of above-mentioned specified type can be large-scale mechanical equipment and/or fortune
Defeated vehicle, above-mentioned preset threshold can be bulking value corresponding to large-scale mechanical equipment and/or haulage vehicle.
It in an alternative embodiment, can also be to above-mentioned mechanical equipment before outputting alarm information is alerted
And/or type, the volume of haulage vehicle are identified, judge whether the type of above-mentioned mechanical equipment and/or haulage vehicle is big
Type mechanical equipment and/or haulage vehicle, judge whether the volume of above-mentioned mechanical equipment and/or haulage vehicle is greater than preset threshold,
In recognition result be above-mentioned mechanical equipment and/or haulage vehicle is the mechanical equipment and/or haulage vehicle of above-mentioned specified type；Or
Person, in the case where judging result is greater than above-mentioned preset threshold for the volume of above-mentioned mechanical equipment and/or haulage vehicle, in determination
It states mechanical equipment and/or above-mentioned haulage vehicle has the risk for colliding above-mentioned tower bar, then export above-mentioned warning information and alerted.
Embodiment 2
According to embodiments of the present invention, additionally provide a kind of for implementing the Installation practice of above-mentioned alarm method, Fig. 4 is root
According to a kind of structural schematic diagram of alarm device of the embodiment of the present invention, as shown in figure 4, above-mentioned alarm device, comprising: first obtains
Module 40, extraction module 42, the first determining module 44 and alarm module 46, in which:
First obtains module 40, for obtaining the image data of the collected tower bar present position of picture pick-up device；Extract mould
Block 42, for extracting any one frame image in above-mentioned image data at interval of the predetermined time；First determining module 44, for leading to
Cross and compare above-mentioned any one frame image and sample image, determine in above-mentioned any one frame image whether comprising mechanical equipment and/or
Haulage vehicle, wherein above-mentioned mechanical equipment and above-mentioned haulage vehicle are included at least in above-mentioned sample image；Alarm module 46 is used
In the case where in determining above-mentioned any one frame image including above-mentioned mechanical equipment and/or above-mentioned haulage vehicle, outputting alarm
Information is alerted.
In an alternative embodiment, above-mentioned apparatus further include: module is established, for establishing image feature base；
Second obtains module, for obtaining above-mentioned sample image；Recording module, the above-mentioned sample image typing for will acquire are above-mentioned
Image feature base.
In an alternative embodiment, above-mentioned apparatus further include: conversion module, for above-mentioned any one frame image to be turned
It is changed to gray-value image；Identification module, for identification in above-mentioned gray-value image object characteristic point and characteristic boundary；Compare mould
Block, for according to features described above point and features described above boundary, above-mentioned any one frame image and above-mentioned sample image to be compared,
Wherein, the type of above-mentioned sample image includes at least: above-mentioned gray-value image.
In an alternative embodiment, above-mentioned apparatus further include: processing module, for identification above-mentioned mechanical equipment and/
Or haulage vehicle whether be specified type mechanical equipment and/or haulage vehicle；Alternatively, judging above-mentioned mechanical equipment and/or fortune
Whether the volume of defeated vehicle is greater than preset threshold；Second determining module, for being above-mentioned mechanical equipment and/or fortune in recognition result
Defeated vehicle is the mechanical equipment and/or haulage vehicle of above-mentioned specified type；Alternatively, judging result be above-mentioned mechanical equipment and/
Or in the case that the volume of haulage vehicle is greater than above-mentioned preset threshold, determine that above-mentioned mechanical equipment and/or above-mentioned haulage vehicle are deposited
In the risk for colliding above-mentioned tower bar, then exports above-mentioned warning information and alerted.
It should be noted that above-mentioned modules can be realized by software or hardware, for example, for the latter,
Can be accomplished by the following way: above-mentioned modules can be located in same processor；Alternatively, above-mentioned modules are with any
Combined mode is located in different processors.
Herein it should be noted that above-mentioned first obtains module 40, extraction module 42, the first determining module 44 and alarm mould
Block 46 corresponds to the step S102 to step S108 in embodiment 1, the example and answer that above-mentioned module and corresponding step are realized
It is identical with scene, but it is not limited to the above embodiments 1 disclosure of that.It should be noted that above-mentioned module as device one
Part may operate in terminal.
It should be noted that the optional or preferred embodiment of the present embodiment may refer to the associated description in embodiment 1,
Details are not described herein again.
Above-mentioned alarm device can also include processor and memory, it is above-mentioned first obtain module 40, extraction module 42,
First determining module 44 and alarm module 46 etc. store in memory as program unit, are stored in by processor execution
Above procedure unit in reservoir realizes corresponding function.
Include kernel in processor, is gone in memory to transfer corresponding program unit by kernel, above-mentioned kernel can be set
One or more.Memory may include the non-volatile memory in computer-readable medium, random access memory (RAM)
And/or the forms such as Nonvolatile memory, such as read-only memory (ROM) or flash memory (flash RAM), memory includes at least one
Storage chip.
According to the embodiment of the present application, a kind of storage medium embodiment is additionally provided.Optionally, in the present embodiment, above-mentioned
Storage medium includes the program of storage, wherein equipment where controlling above-mentioned storage medium in above procedure operation executes above-mentioned
Any one alarm method.
Optionally, in the present embodiment, above-mentioned storage medium can be located in computer network in computer terminal group
In any one terminal, or in any one mobile terminal in mobile terminal group, above-mentioned storage medium packet
Include the program of storage.
Optionally, when program is run, equipment where control storage medium executes following functions: obtaining picture pick-up device acquisition
The image data for the tower bar present position arrived；Any one frame image in above-mentioned image data is extracted at interval of the predetermined time；It is logical
Cross and compare above-mentioned any one frame image and sample image, determine in above-mentioned any one frame image whether comprising mechanical equipment and/or
Haulage vehicle, wherein above-mentioned mechanical equipment and above-mentioned haulage vehicle are included at least in above-mentioned sample image；It is above-mentioned any determining
In the case where including above-mentioned mechanical equipment and/or above-mentioned haulage vehicle in one frame image, outputting alarm information is alerted.
Optionally, when program is run, equipment where control storage medium executes following functions: establishing image feature data
Library；Obtain above-mentioned sample image；The above-mentioned above-mentioned image feature base of sample image typing that will acquire.
Optionally, when program is run, equipment where control storage medium executes following functions: by above-mentioned any one frame figure
As being converted to gray-value image；Identify the characteristic point and characteristic boundary of object in above-mentioned gray-value image；According to features described above point
With features described above boundary, above-mentioned any one frame image and above-mentioned sample image are compared, wherein the class of above-mentioned sample image
Type includes at least: above-mentioned gray-value image.
Optionally, when program is run, equipment where control storage medium executes following functions: identifying above-mentioned mechanical equipment
And/or haulage vehicle whether be specified type mechanical equipment and/or haulage vehicle；Alternatively, judge above-mentioned mechanical equipment and/or
Whether the volume of haulage vehicle is greater than preset threshold；In recognition result be above-mentioned mechanical equipment and/or haulage vehicle is above-mentioned finger
Determine the mechanical equipment and/or haulage vehicle of type；Alternatively, in the body that judging result is above-mentioned mechanical equipment and/or haulage vehicle
In the case that product is greater than above-mentioned preset threshold, determines that above-mentioned mechanical equipment and/or above-mentioned haulage vehicle exist and collide above-mentioned tower bar
Risk, then export above-mentioned warning information and alerted.
According to the embodiment of the present application, a kind of processor embodiment is additionally provided.Optionally, in the present embodiment, above-mentioned place
Reason device is for running program, wherein above procedure executes any one of the above alarm method when running.
The embodiment of the present application provides a kind of equipment, equipment include processor, memory and storage on a memory and can
The program run on a processor, processor performs the steps of when executing program obtains the collected tower bar institute of picture pick-up device
Locate the image data of position；Any one frame image in above-mentioned image data is extracted at interval of the predetermined time；It is above-mentioned by comparing
Whether any one frame image and sample image determine in above-mentioned any one frame image comprising mechanical equipment and/or haulage vehicle,
In, above-mentioned mechanical equipment and above-mentioned haulage vehicle are included at least in above-mentioned sample image；In determining above-mentioned any one frame image
In the case where comprising above-mentioned mechanical equipment and/or above-mentioned haulage vehicle, outputting alarm information is alerted.
Optionally, when above-mentioned processor executes program, image feature base can also be established；Obtain above-mentioned sample graph
Picture；The above-mentioned above-mentioned image feature base of sample image typing that will acquire.
Optionally, when above-mentioned processor executes program, above-mentioned any one frame image can also be converted to gray-value image；
Identify the characteristic point and characteristic boundary of object in above-mentioned gray-value image；According to features described above point and features described above boundary, to upper
It states any one frame image and above-mentioned sample image is compared, wherein the type of above-mentioned sample image includes at least: above-mentioned gray scale
It is worth image.
Optionally, when above-mentioned processor executes program, can also identify above-mentioned mechanical equipment and/or haulage vehicle whether be
The mechanical equipment and/or haulage vehicle of specified type；Alternatively, judge above-mentioned mechanical equipment and/or haulage vehicle volume whether
Greater than preset threshold；Recognition result be above-mentioned mechanical equipment and/or haulage vehicle be above-mentioned specified type mechanical equipment and/
Or haulage vehicle；Alternatively, being greater than above-mentioned preset threshold in judging result for the volume of above-mentioned mechanical equipment and/or haulage vehicle
In the case of, it determines that above-mentioned mechanical equipment and/or above-mentioned haulage vehicle have the risk for colliding above-mentioned tower bar, then exports above-mentioned alarm
Information is alerted.
Present invention also provides a kind of computer program products, when executing on data processing equipment, are adapted for carrying out just
The program of beginningization there are as below methods step: the image data of the collected tower bar present position of picture pick-up device is obtained；At interval of pre-
It fixes time any one frame image extracted in above-mentioned image data；By comparing above-mentioned any one frame image and sample image, really
It whether include mechanical equipment and/or haulage vehicle in fixed above-mentioned any one frame image, wherein included at least in above-mentioned sample image
Above-mentioned mechanical equipment and above-mentioned haulage vehicle；Comprising above-mentioned mechanical equipment and/or above-mentioned in determining above-mentioned any one frame image
In the case where haulage vehicle, outputting alarm information is alerted.
Optionally, when above-mentioned computer program product executes program, image feature base can also be established；It obtains above-mentioned
Sample image；The above-mentioned above-mentioned image feature base of sample image typing that will acquire.
Optionally, when above-mentioned computer program product executes program, above-mentioned any one frame image can also be converted to ash
Angle value image；Identify the characteristic point and characteristic boundary of object in above-mentioned gray-value image；According to features described above point and features described above
Boundary is compared above-mentioned any one frame image and above-mentioned sample image, wherein the type of above-mentioned sample image is at least wrapped
It includes: above-mentioned gray-value image.
Optionally, when above-mentioned computer program product executes program, above-mentioned mechanical equipment and/or transport vehicle can also be identified
Whether be specified type mechanical equipment and/or haulage vehicle；Alternatively, judging above-mentioned mechanical equipment and/or haulage vehicle
Whether volume is greater than preset threshold；In recognition result be above-mentioned mechanical equipment and/or haulage vehicle is the machine of above-mentioned specified type
Tool equipment and/or haulage vehicle；Alternatively, being the volume of above-mentioned mechanical equipment and/or haulage vehicle greater than above-mentioned in judging result
In the case where preset threshold, determine that above-mentioned mechanical equipment and/or above-mentioned haulage vehicle have the risk for colliding above-mentioned tower bar, then it is defeated
Above-mentioned warning information is alerted out.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
In the above embodiment of the invention, it all emphasizes particularly on different fields to the description of each embodiment, does not have in some embodiment
The part of detailed description, reference can be made to the related descriptions of other embodiments.
In several embodiments provided herein, it should be understood that disclosed technology contents can pass through others
Mode is realized.Wherein, the apparatus embodiments described above are merely exemplary, such as the division of the unit, Ke Yiwei
A kind of logical function partition, there may be another division manner in actual implementation, for example, multiple units or components can combine or
Person is desirably integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual
Between coupling, direct-coupling or communication connection can be through some interfaces, the INDIRECT COUPLING or communication link of unit or module
It connects, can be electrical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
On unit.It can some or all of the units may be selected to achieve the purpose of the solution of this embodiment according to the actual needs.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can store in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially
The all or part of the part that contributes to existing technology or the technical solution can be in the form of software products in other words
It embodies, which is stored in a storage medium, including some instructions are used so that a computer
Equipment (can for personal computer, server or network equipment etc.) execute each embodiment the method for the present invention whole or
Part steps.And storage medium above-mentioned includes: that USB flash disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited
Reservoir (RAM, Random Access Memory), mobile hard disk, magnetic or disk etc. be various to can store program code
Medium.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered
It is considered as protection scope of the present invention.
Claims (10)
1. a kind of alarm method characterized by comprising
Obtain the image data of the collected tower bar present position of picture pick-up device；
Any one frame image in described image data is extracted at interval of the predetermined time；
By comparing any one frame image and sample image, whether determine in any one frame image comprising mechanical equipment
And/or haulage vehicle, wherein the mechanical equipment and the haulage vehicle are included at least in the sample image；
In the case where including the mechanical equipment and/or the haulage vehicle in determining any one frame image, output is accused
Alert information is alerted.
2. the method according to claim 1, wherein obtaining the collected tower bar present position of picture pick-up device
Before image data, the method also includes:
Establish image feature base；
Obtain the sample image；
The sample image typing described image property data base that will acquire.
3. the method according to claim 1, wherein by comparing any one frame image and sample graph
Picture, before whether determining in any one frame image comprising mechanical equipment and/or haulage vehicle, the method also includes:
Any one frame image is converted into gray-value image；
Identify the characteristic point and characteristic boundary of object in the gray-value image；
According to the characteristic point and the characteristic boundary, any one frame image and the sample image are compared,
In, the type of the sample image includes at least: the gray-value image.
4. the method according to claim 1, which is characterized in that alerted in outputting alarm information
Before, the method also includes:
Identify the mechanical equipment and/or haulage vehicle whether be specified type mechanical equipment and/or haulage vehicle；
Alternatively, judging whether the volume of the mechanical equipment and/or haulage vehicle is greater than preset threshold；
In recognition result be the mechanical equipment and/or haulage vehicle is the mechanical equipment and/or transport vehicle of the specified type
?；Alternatively, in the case where judging result is greater than the preset threshold for the volume of the mechanical equipment and/or haulage vehicle,
Determine that the mechanical equipment and/or the haulage vehicle have the risk for colliding the tower bar, then export the warning information into
Row alarm.
5. a kind of alarm device characterized by comprising
First obtains module, for obtaining the image data of the collected tower bar present position of picture pick-up device；
Extraction module, for extracting any one frame image in described image data at interval of the predetermined time；
First determining module, for determining any one frame image by comparing any one frame image and sample image
In whether include mechanical equipment and/or haulage vehicle, wherein the mechanical equipment and described is included at least in the sample image
Haulage vehicle；
Alarm module, for including the mechanical equipment and/or the haulage vehicle in determining any one frame image
In the case of, outputting alarm information is alerted.
6. device according to claim 5, which is characterized in that described device further include:
Module is established, for establishing image feature base；
Second obtains module, for obtaining the sample image；
Recording module, the sample image typing described image property data base for will acquire.
7. device according to claim 5, which is characterized in that described device further include:
Conversion module, for any one frame image to be converted to gray-value image；
Identification module, for identification in the gray-value image object characteristic point and characteristic boundary；
Comparison module is used for according to the characteristic point and the characteristic boundary, to any one frame image and the sample graph
As being compared, wherein the type of the sample image includes at least: the gray-value image.
8. the device according to any one of claim 5 to 7, which is characterized in that described device further include:
Processing module, for identification the mechanical equipment and/or haulage vehicle whether be specified type mechanical equipment and/or fortune
Defeated vehicle；Alternatively, judging whether the volume of the mechanical equipment and/or haulage vehicle is greater than preset threshold；
Second determining module, for being the mechanical equipment in recognition result and/or haulage vehicle is the machine of the specified type
Tool equipment and/or haulage vehicle；Alternatively, being the volume of the mechanical equipment and/or haulage vehicle greater than described in judging result
In the case where preset threshold, determine that the mechanical equipment and/or the haulage vehicle have the risk for colliding the tower bar, then it is defeated
The warning information is alerted out.
9. a kind of storage medium, which is characterized in that the storage medium includes the program of storage, wherein run in described program
When control the storage medium where equipment perform claim require any one of 1 to 4 described in alarm method.
10. a kind of processor, which is characterized in that the processor is for running program, wherein right of execution when described program is run
Benefit require any one of 1 to 4 described in alarm method.
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|---|---|---|---|
| CN201811559936.2A CN109753894A (en) | 2018-12-19 | 2018-12-19 | Alarm method and device |
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| CN201811559936.2A CN109753894A (en) | 2018-12-19 | 2018-12-19 | Alarm method and device |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110738828A (en) * | 2019-09-12 | 2020-01-31 | 浙江大华技术股份有限公司 | state monitoring method, device, equipment and storage medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102768731A (en) * | 2012-06-29 | 2012-11-07 | 陕西省交通规划设计研究院 | Method and system for automatic positioning and identifying target based on high definition video images |
| CN102799859A (en) * | 2012-06-20 | 2012-11-28 | 北京交通大学 | Method for identifying traffic sign |
| US20170018091A1 (en) * | 2015-07-16 | 2017-01-19 | Hanwha Techwin Co., Ltd. | Re-wandering alarm system and method |
| CN106553655A (en) * | 2016-12-02 | 2017-04-05 | 深圳地平线机器人科技有限公司 | Hazardous vehicles detection method and system and the vehicle including the system |
| CN107344696A (en) * | 2017-08-25 | 2017-11-14 | 上海沪东集装箱码头有限公司 | Tire crane anti-collision based on real time video image identification hits early warning system and its method |
| CN107480645A (en) * | 2017-08-21 | 2017-12-15 | 王修晖 | A kind of tower crane collision avoidance system and method based on pattern recognition technique |
| CN108121972A (en) * | 2017-12-25 | 2018-06-05 | 北京航空航天大学 | A kind of target identification method under the conditions of partial occlusion |
-
2018
- 2018-12-19 CN CN201811559936.2A patent/CN109753894A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102799859A (en) * | 2012-06-20 | 2012-11-28 | 北京交通大学 | Method for identifying traffic sign |
| CN102768731A (en) * | 2012-06-29 | 2012-11-07 | 陕西省交通规划设计研究院 | Method and system for automatic positioning and identifying target based on high definition video images |
| US20170018091A1 (en) * | 2015-07-16 | 2017-01-19 | Hanwha Techwin Co., Ltd. | Re-wandering alarm system and method |
| CN106553655A (en) * | 2016-12-02 | 2017-04-05 | 深圳地平线机器人科技有限公司 | Hazardous vehicles detection method and system and the vehicle including the system |
| CN107480645A (en) * | 2017-08-21 | 2017-12-15 | 王修晖 | A kind of tower crane collision avoidance system and method based on pattern recognition technique |
| CN107344696A (en) * | 2017-08-25 | 2017-11-14 | 上海沪东集装箱码头有限公司 | Tire crane anti-collision based on real time video image identification hits early warning system and its method |
| CN108121972A (en) * | 2017-12-25 | 2018-06-05 | 北京航空航天大学 | A kind of target identification method under the conditions of partial occlusion |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110738828A (en) * | 2019-09-12 | 2020-01-31 | 浙江大华技术股份有限公司 | state monitoring method, device, equipment and storage medium |
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