CN109461444A - Away rust by laser method and device based on speech recognition - Google Patents
Away rust by laser method and device based on speech recognition Download PDFInfo
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- CN109461444A CN109461444A CN201811230396.3A CN201811230396A CN109461444A CN 109461444 A CN109461444 A CN 109461444A CN 201811230396 A CN201811230396 A CN 201811230396A CN 109461444 A CN109461444 A CN 109461444A
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- 238000000034 method Methods 0.000 title claims abstract description 53
- JEIPFZHSYJVQDO-UHFFFAOYSA-N iron(III) oxide Inorganic materials O=[Fe]O[Fe]=O JEIPFZHSYJVQDO-UHFFFAOYSA-N 0.000 title claims abstract description 32
- 238000012545 processing Methods 0.000 claims abstract description 48
- 230000011218 segmentation Effects 0.000 claims abstract description 12
- 239000000284 extract Substances 0.000 claims abstract description 9
- 230000007797 corrosion Effects 0.000 claims description 33
- 238000005260 corrosion Methods 0.000 claims description 33
- 238000012549 training Methods 0.000 claims description 9
- 238000013507 mapping Methods 0.000 claims description 3
- 238000004590 computer program Methods 0.000 claims description 2
- 230000008569 process Effects 0.000 description 5
- 238000004891 communication Methods 0.000 description 4
- 230000008901 benefit Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 238000010801 machine learning Methods 0.000 description 3
- 239000002184 metal Substances 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 238000004140 cleaning Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
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- 238000013461 design Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000013532 laser treatment Methods 0.000 description 1
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Classifications
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B08—CLEANING
- B08B—CLEANING IN GENERAL; PREVENTION OF FOULING IN GENERAL
- B08B7/00—Cleaning by methods not provided for in a single other subclass or a single group in this subclass
- B08B7/0035—Cleaning by methods not provided for in a single other subclass or a single group in this subclass by radiant energy, e.g. UV, laser, light beam or the like
- B08B7/0042—Cleaning by methods not provided for in a single other subclass or a single group in this subclass by radiant energy, e.g. UV, laser, light beam or the like by laser
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/279—Recognition of textual entities
- G06F40/289—Phrasal analysis, e.g. finite state techniques or chunking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
- G06T7/0008—Industrial image inspection checking presence/absence
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
- G06T2207/30136—Metal
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
- G10L2015/223—Execution procedure of a spoken command
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- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Audiology, Speech & Language Pathology (AREA)
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- Health & Medical Sciences (AREA)
- Computational Linguistics (AREA)
- Optics & Photonics (AREA)
- Artificial Intelligence (AREA)
- Quality & Reliability (AREA)
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Abstract
This disclosure relates to the technical field that derusts, and in particular to a kind of away rust by laser method based on speech recognition, a kind of laser rust-removing device based on speech recognition, a kind of storage medium and a kind of electric terminal.The described method includes: real-time reception voice messaging；The voice messaging is identified to obtain speech recognition result；Word segmentation processing is carried out to institute's speech recognition result, and extracts keyword；According to the keyword query instruction list to obtain corresponding control instruction；Laser is controlled according to the control instruction to derust.The keyword in voice messaging that the disclosure passes through identification staff obtains corresponding control instruction according to keyword, carries and control laser derusting according to the control instruction, can effectively improve the efficiency and accuracy rate of away rust by laser.
Description
Technical field
This disclosure relates to the technical field that derusts, and in particular to a kind of away rust by laser method based on speech recognition, Yi Zhongji
In the laser rust-removing device, a kind of storage medium and a kind of electric terminal of speech recognition.
Background technique
Laser is able to achieve the Rapid Cleaning of metal surface corrosion layer as a kind of machining tool.Not with traditional diamond-making technique
With laser has many advantages, such as high brightness, high monochromaticity, is able to achieve remote contactless cleaning, therefore can utilize laser
To remote derusting, such as electrification in high voltage device, nuclear device etc..
But the big multipaths of the corresponding laser control method of existing laser rust-removing device is complicated, and controls the essence of away rust by laser
Accuracy is not high.Lead to metal track since ambient conditions is complicated, severe particularly with the equipment under field environment, such as track
Each section corrosion situation differs greatly.And due to derusting result it is more demanding, metal structure cannot be damaged, cause it is existing swash
Light derusting device can not have good derusting result.
It should be noted that information is only used for reinforcing the reason to the background of the disclosure disclosed in above-mentioned background technology part
Solution, therefore may include the information not constituted to the prior art known to persons of ordinary skill in the art.
Summary of the invention
The disclosure is designed to provide a kind of away rust by laser method based on speech recognition, is a kind of based on speech recognition
Laser rust-removing device, a kind of storage medium and a kind of electric terminal, and then overcome at least to a certain extent due to related skill
One or more problem caused by the limitation and defect of art.
Other characteristics and advantages of the disclosure will be apparent from by the following detailed description, or partially by the disclosure
Practice and acquistion.
According to the disclosure in a first aspect, providing a kind of away rust by laser method based on speech recognition, comprising:
Real-time reception voice messaging；
The voice messaging is identified to obtain speech recognition result；
Word segmentation processing is carried out to institute's speech recognition result, and extracts keyword；
According to the keyword query instruction list to obtain corresponding control instruction；
Laser is controlled according to the control instruction to derust.
In a kind of exemplary embodiment of the disclosure, after the real-time reception voice messaging, the method also includes:
Denoising is carried out to the received voice messaging.
In a kind of exemplary embodiment of the disclosure, the control instruction includes:
Any one of image capture instruction, operation enabled instruction, operation halt instruction and derusting result decision instruction
Or it is any multinomial.
In a kind of exemplary embodiment of the disclosure, when the control instruction is image capture instruction, the method packet
It includes:
Image to be processed is acquired according to described image acquisition instructions；
The image to be processed is pre-processed to obtain pretreatment image；
The pretreatment image is handled to obtain laser processing parameter using the parameter computation model trained；
Laser is controlled according to the laser processing parameter to derust.
In a kind of exemplary embodiment of the disclosure, when the control instruction is derusting result decision instruction, the side
Method further include:
Present image is acquired, and the present image is pre-processed to obtain the second pretreatment image；
The pretreatment image and the second pretreatment image are compared to obtain derusting result.
In a kind of exemplary embodiment of the disclosure, the method also includes:
Judge whether the derusting result meets preset condition；
When judging that the derusting result meets the preset condition, terminate derusting operation；Or
When judging that the derusting result is unsatisfactory for the preset condition, the parameter calculating module pair trained is utilized
Second pretreatment image is handled to obtain laser processing parameter, in order to control institute according to the laser processing parameter
Laser is stated to derust.
In a kind of exemplary embodiment of the disclosure,
The method also includes: the training parameter computation model, comprising:
Obtain corrosion image collection to be processed and corresponding derusting result images set；
Gray scale is carried out to image each in the corrosion image collection to be processed and the corresponding derusting result images set
Processing, and establish the mapping relations of corrosion gray level image to be processed with corresponding derusting result gray level image；
It is original using the corrosion image collection to be processed and the corresponding derusting result images set as the white silk that enters to participate in training
Machine learning model is with the computation model that gets parms.
According to the second aspect of the disclosure, a kind of laser rust-removing device based on speech recognition is provided, comprising:
Speech reception module is used for real-time reception voice messaging；
Speech recognition module, for being identified the voice messaging to obtain speech recognition result；
Recognition result processing module carries out word segmentation processing to institute's speech recognition result, and extracts keyword；
Instruction acquisition module, for according to the keyword query instruction list to obtain corresponding control instruction；
Instruction execution module derusts for controlling laser according to the control instruction.
According to the third aspect of the disclosure, a kind of storage medium is provided, is stored thereon with computer program, described program quilt
Processor realizes the above-mentioned away rust by laser method based on speech recognition when executing.
According to the fourth aspect of the disclosure, a kind of electric terminal is provided, comprising:
Processor；And
Memory, for storing the executable instruction of the processor；
Wherein, the processor is configured to execute via the executable instruction is executed above-mentioned based on speech recognition
Away rust by laser method.
In away rust by laser method based on speech recognition provided by embodiment of the disclosure, pass through identification staff's
Keyword in voice messaging obtains corresponding control instruction according to keyword, carries and control laser according to according to the control instruction
Derusting, can effectively improve the efficiency and accuracy rate of away rust by laser.
It should be understood that above general description and following detailed description be only it is exemplary and explanatory, not
The disclosure can be limited.
Detailed description of the invention
The drawings herein are incorporated into the specification and forms part of this specification, and shows the implementation for meeting the disclosure
Example, and together with specification for explaining the principles of this disclosure.It should be evident that the accompanying drawings in the following description is only the disclosure
Some embodiments for those of ordinary skill in the art without creative efforts, can also basis
These attached drawings obtain other attached drawings.
Fig. 1 schematically shows a kind of away rust by laser method signal based on speech recognition in disclosure exemplary embodiment
Figure；
Fig. 2 schematically show in disclosure exemplary embodiment it is a kind of based on speech recognition laser rust-removing device composition show
It is intended to；
Fig. 3 schematically shows a kind of the another of the laser rust-removing device based on speech recognition in disclosure exemplary embodiment
Kind schematic diagram；
Fig. 4 schematically shows a kind of the another of the laser rust-removing device based on speech recognition in disclosure exemplary embodiment
Kind schematic diagram.
Specific embodiment
Example embodiment is described more fully with reference to the drawings.However, example embodiment can be with a variety of shapes
Formula is implemented, and is not understood as limited to example set forth herein；On the contrary, thesing embodiments are provided so that the disclosure will more
Fully and completely, and by the design of example embodiment comprehensively it is communicated to those skilled in the art.Described feature, knot
Structure or characteristic can be incorporated in any suitable manner in one or more embodiments.
A kind of away rust by laser method based on speech recognition is provided firstly in this example embodiment, can be applied to benefit
It is derusted and is operated with voice command control laser.With reference to shown in Fig. 1, the above-mentioned away rust by laser method based on speech recognition can
With the following steps are included:
Step S1, real-time reception voice messaging；
Step S2 identifies to obtain speech recognition result the voice messaging；
Step S3 carries out word segmentation processing to institute's speech recognition result, and extracts keyword；
Step S4, according to the keyword query instruction list to obtain corresponding control instruction；
Step S5 controls laser according to the control instruction and derusts.
In away rust by laser method based on speech recognition provided by this example embodiment, pass through identification staff's
Keyword in voice messaging obtains corresponding control instruction according to keyword, carries and control laser according to according to the control instruction
Derusting, can effectively improve the efficiency and accuracy rate of away rust by laser.
In the following, accompanying drawings and embodiments will be combined to the away rust by laser method based on speech recognition in this example embodiment
In each step be described in detail.
Step S1, real-time reception voice messaging.
It can be one audio reception device of laser configurations, such as microphone in this example embodiment.It can be real-time
Judge whether there is the voice messaging of staff.
Step S2 identifies to obtain speech recognition result the voice messaging.
In this example embodiment, when there are voice messaging, denoising first can be carried out to voice messaging, such as
Ambient noise, ambient noise in audio of going out etc..It recycles speech recognition modeling to identify audio, obtains corresponding text
The speech recognition result of this format.The corresponding text of identification acquisition is carried out to audio data for above-mentioned, can use routine
Technology is completed, and the disclosure is not particularly limited its detailed process.
Step S3 carries out word segmentation processing to institute's speech recognition result, and extracts keyword.
In this example embodiment, after obtaining text, word segmentation processing can be carried out to it.Such as utilize jieba points
Word or other models or tool carry out word segmentation processing, obtain word segmentation result.The keyword in word segmentation result is extracted again.
For example, text information includes " now beginning to acquisition image ", then available corresponding keyword is " to adopt after segmenting
Collect image "
Step S4, according to the keyword query instruction list to obtain corresponding control instruction.
In this example embodiment, corresponding control is inquired into preset instruction list according to the keyword of acquisition and is referred to
It enables.For example, control instruction may include image capture instruction, operation enabled instruction, operation halt instruction and remove rust joint
Any one of fruit decision instruction is any multinomial.
In addition, control instruction can correspond to multiple approximate or similar keywords in instruction list.For example, operation stops
Only instructing corresponding keyword may include " stopping ", " stop ", " pause " etc..
Step S5 controls laser according to the control instruction and derusts.
In this example embodiment, after obtaining accurate control instruction, laser can be manipulated according to control instruction
Execute corresponding operation.
For example, when the control instruction is image capture instruction, which comprises
Step S511 acquires image to be processed according to described image acquisition instructions；
Step S512 pre-processes to obtain pretreatment image the image to be processed；
Step S513 is handled to obtain at laser the pretreatment image using the parameter computation model trained
Manage parameter；
Step S514 controls laser according to the laser processing parameter and derusts.
When phonetic order is image capture instruction, it can be acquired and be derusted using hardware devices such as cameras
The image to be processed of the equipment of processing.Wherein, it can be the surface of the device such as track, car body, shield to rust removalling equipment.
In addition, above-mentioned image to be processed can be color image.Derusting terminal can be acquire multiple images, and can to image into
Whether row identification judges in present image comprising corrosion region.Using the image comprising corrosion region as image to be processed；It will not
Image-erasing comprising corroding region.The boundary in the corrosion region in every image can also be marked using coordinate.Also
The coordinate of every image can be marked.To accurately obtain the accurate location in corrosion region.In each image to be processed
It may include at least one corrosion region.
After obtaining image to be processed, greyscale transform process first can be carried out to it.Gray scale is converted by image to be processed
Image.Conventional technology can be used for carrying out this process of gray proces to image.For example, the colour that will be acquired
RGB (R, G, the B) value of each pixel of image is converted into corresponding gray value according to Weighted Average Algorithm.The disclosure is herein no longer
It is described in detail, does not also do particular determination.
It can use the parameter computation model trained to analyze pretreatment image, obtain the corrosion area in image
Domain, and calculate the corresponding laser processing parameter in corrosion region.
Specifically, above-mentioned away rust by laser parameter may include: laser power, laser frequency, pulsewidth, scanning speed with
And sweep span.
Specifically, can be according to formula: ρ=Pav/ftvd；Wherein, ρ is energy density, and Pav is laser power, f is sharp
Light frequency, t are pulsewidth, v is scanning speed, and d is sweep span, and wherein pulsewidth t can be considered constant.
The training process of model may comprise steps of:
Obtain corrosion image collection to be processed and corresponding derusting result images set；
Gray scale is carried out to image each in the corrosion image collection to be processed and the corresponding derusting result images set
Processing, and establish the mapping relations of corrosion gray level image to be processed with corresponding derusting result gray level image；
It is original using the corrosion image collection to be processed and the corresponding derusting result images set as the white silk that enters to participate in training
Machine learning model is with the computation model that gets parms.
Before carrying out processing of rust removing, there can be the machine learning model of supervision first with historical data training one.It is specific next
It says, available history corrosion image collection to be processed may include multiple corrosion images, and each corrode at least is wrapped in image
Containing a corrosion region.In addition, respectively the concrete condition in corrosion region may be different, such as corrosion degree, the boundary for corroding range
Shape etc. is all different.
Corresponding, each image that corrodes also has corresponding derusting result images, and each result images collection that derusts is combined into derusting
Result images set.Each image in corrosion image collection to be processed and corresponding derusting result images set is carried out respectively
Gray proces, the corresponding relationship for establishing corrosion image to be processed between the result images that derust, specifically, corrosion figure to be processed
As and derusting result images between corresponding relationship can each pixel region or one corrosion region in derusting before and derust after
Grey scale pixel value corresponding relationship.And accordingly generate training data.Using the training data as enter ginseng to the engineering for having supervised
It practises model to be trained, to obtain parameter computation model.
Based on above content, when the control instruction is derusting result decision instruction, above-mentioned method can also include:
Step S601 acquires present image, and is pre-processed to the present image to obtain the second pretreatment image；
Step S602 compares the pretreatment image and the second pretreatment image to obtain derusting result.
After executing derusting operation according to laser processing parameter, former corrosion can also be obtained according to the second image capture instruction
The corresponding present image in region, and carry out gray proces.Current gray level image and original gray level image are compared, from
And obtain derusting result.
In addition, the above method can also include:
Step S701, judges whether the derusting result meets preset condition；
Step S702 terminates derusting operation when judging that the derusting result meets the preset condition；Or
Step S703 utilizes the parameter trained when judging that the derusting result is unsatisfactory for the preset condition
Computing module handles to obtain laser processing parameter second pretreatment image, in order to according to the laser treatment
Laser described in state modulator derusts.
It for example, can be according to the gray value to the gray level image after corrosion area image gray proces to derusting result
Different grades is set.After obtaining derusting result, it can judge whether the grade of derusting result meets according to gray level image
Preset condition or requirement.If derusting result meets preset requirement, it can stop and complete derusting operation.If derusting result
Do not meet preset requirement, then can obtain the image in corrosion region again, and carries out pretreatment to it and obtain gray level image.So
First pretreatment image is analyzed to obtain laser processing parameter using parameter computation model afterwards, according to the laser
Processing parameter control laser derusts.It repeats above-mentioned step to derusting result and meets preset requirement or standard.
It should be noted that above-mentioned attached drawing is only showing for processing included by method according to an exemplary embodiment of the present invention
Meaning property explanation, rather than limit purpose.It can be readily appreciated that it is above-mentioned it is shown in the drawings processing do not indicate or limit these processing when
Between sequence.In addition, be also easy to understand, these processing, which can be, for example either synchronously or asynchronously to be executed in multiple modules.
Further, refering to what is shown in Fig. 2, additionally providing a kind of laser based on speech recognition in this exemplary embodiment
Derusting device 20, comprising: speech reception module 201, speech recognition module 202, recognition result processing module 203, instruction obtain
Module 204 and instruction execution module 205.Wherein:
Speech reception module is used for real-time reception voice messaging.
Speech recognition module, for being identified the voice messaging to obtain speech recognition result.
Recognition result processing module carries out word segmentation processing to institute's speech recognition result, and extracts keyword.
Instruction acquisition module, for according to the keyword query instruction list to obtain corresponding control instruction.
Instruction execution module derusts for controlling laser according to the control instruction.
The detail of each module is based on language corresponding in the above-mentioned laser rust-removing device based on speech recognition
It is described in detail in the away rust by laser method of sound identification, therefore details are not described herein again.
It should be noted that although being referred to several modules or list for acting the equipment executed in the above detailed description
Member, but this division is not enforceable.In fact, according to embodiment of the present disclosure, it is above-described two or more
Module or the feature and function of unit can embody in a module or unit.Conversely, an above-described mould
The feature and function of block or unit can be to be embodied by multiple modules or unit with further division.
In an exemplary embodiment of the disclosure, a kind of electronic equipment that can be realized the above method is additionally provided.
Person of ordinary skill in the field it is understood that various aspects of the invention can be implemented as system, method or
Program product.Therefore, various aspects of the invention can be embodied in the following forms, it may be assumed that complete hardware embodiment, complete
The embodiment combined in terms of full Software Implementation (including firmware, microcode etc.) or hardware and software, can unite here
Referred to as circuit, " module " or " system ".
The electronic equipment 600 of this embodiment according to the present invention is described referring to Fig. 3.The electronics that Fig. 3 is shown
Equipment 600 is only an example, should not function to the embodiment of the present invention and use scope bring any restrictions.
As shown in figure 3, electronic equipment 600 is showed in the form of universal computing device.The component of electronic equipment 600 can wrap
It includes but is not limited to: at least one above-mentioned processing unit 610, at least one above-mentioned storage unit 620, the different system components of connection
The bus 630 of (including storage unit 620 and processing unit 610).
Wherein, the storage unit is stored with program code, and said program code can be held by the processing unit 610
Row, so that various according to the present invention described in the execution of the processing unit 610 above-mentioned " illustrative methods " part of this specification
The step of illustrative embodiments.For example, the processing unit 610 can execute S1 as shown in Figure 1: real-time reception voice
Information；S2: the voice messaging is identified to obtain speech recognition result；S3: institute's speech recognition result is divided
Word processing, and extract keyword；S4: according to the keyword query instruction list to obtain corresponding control instruction；S5: according to
The control instruction control laser derusts.
Storage unit 620 may include the readable medium of volatile memory cell form, such as Random Access Storage Unit
(RAM) 6201 and/or cache memory unit 6202, it can further include read-only memory unit (ROM) 6203.
Storage unit 620 can also include program/utility with one group of (at least one) program module 6205
6204, such program module 6205 includes but is not limited to: operating system, one or more application program, other program moulds
It may include the realization of network environment in block and program data, each of these examples or certain combination.
Bus 630 can be to indicate one of a few class bus structures or a variety of, including storage unit bus or storage
Cell controller, peripheral bus, graphics acceleration port, processing unit use any bus structures in a variety of bus structures
Local bus.
Electronic equipment 600 can also be with one or more external equipments 700 (such as keyboard, sensing equipment, bluetooth equipment
Deng) communication, can also be enabled a user to one or more equipment interact with the electronic equipment 600 communicate, and/or with make
Any equipment (such as the router, modulation /demodulation that the electronic equipment 600 can be communicated with one or more of the other calculating equipment
Device etc.) communication.This communication can be carried out by input/output (I/O) interface 650.Also, electronic equipment 600 can be with
By network adapter 660 and one or more network (such as local area network (LAN), wide area network (WAN) and/or public network,
Such as internet) communication.As shown, network adapter 660 is communicated by bus 630 with other modules of electronic equipment 600.
It should be understood that although not shown in the drawings, other hardware and/or software module can not used in conjunction with electronic equipment 600, including but not
Be limited to: microcode, device driver, redundant processing unit, external disk drive array, RAID system, tape drive and
Data backup storage system etc..
Through the above description of the embodiments, those skilled in the art is it can be readily appreciated that example described herein is implemented
Mode can also be realized by software realization in such a way that software is in conjunction with necessary hardware.Therefore, according to the disclosure
The technical solution of embodiment can be embodied in the form of software products, which can store non-volatile at one
Property storage medium (can be CD-ROM, USB flash disk, mobile hard disk etc.) in or network on, including some instructions are so that a calculating
Equipment (can be personal computer, server, terminal installation or network equipment etc.) is executed according to disclosure embodiment
Method.
In an exemplary embodiment of the disclosure, a kind of computer readable storage medium is additionally provided, energy is stored thereon with
Enough realize the program product of this specification above method.In some possible embodiments, various aspects of the invention may be used also
In the form of being embodied as a kind of program product comprising program code, when described program product is run on the terminal device, institute
Program code is stated for executing the terminal device described in above-mentioned " illustrative methods " part of this specification according to this hair
The step of bright various illustrative embodiments.
Refering to what is shown in Fig. 4, describing the program product for realizing the above method of embodiment according to the present invention
800, can using portable compact disc read only memory (CD-ROM) and including program code, and can in terminal device,
Such as it is run on PC.However, program product of the invention is without being limited thereto, in this document, readable storage medium storing program for executing can be with
To be any include or the tangible medium of storage program, the program can be commanded execution system, device or device use or
It is in connection.
Described program product can be using any combination of one or more readable mediums.Readable medium can be readable letter
Number medium or readable storage medium storing program for executing.Readable storage medium storing program for executing for example can be but be not limited to electricity, magnetic, optical, electromagnetic, infrared ray or
System, device or the device of semiconductor, or any above combination.The more specific example of readable storage medium storing program for executing is (non exhaustive
List) include: electrical connection with one or more conducting wires, portable disc, hard disk, random access memory (RAM), read-only
Memory (ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disc read only memory
(CD-ROM), light storage device, magnetic memory device or above-mentioned any appropriate combination.
Computer-readable signal media may include in a base band or as carrier wave a part propagate data-signal,
In carry readable program code.The data-signal of this propagation can take various forms, including but not limited to electromagnetic signal,
Optical signal or above-mentioned any appropriate combination.Readable signal medium can also be any readable Jie other than readable storage medium storing program for executing
Matter, the readable medium can send, propagate or transmit for by instruction execution system, device or device use or and its
The program of combined use.
The program code for including on readable medium can transmit with any suitable medium, including but not limited to wirelessly, have
Line, optical cable, RF etc. or above-mentioned any appropriate combination.
The program for executing operation of the present invention can be write with any combination of one or more programming languages
Code, described program design language include object oriented program language-Java, C++ etc., further include conventional
Procedural programming language-such as " C " language or similar programming language.Program code can be fully in user
It calculates and executes in equipment, partly executes on a user device, being executed as an independent software package, partially in user's calculating
Upper side point is executed on a remote computing or is executed in remote computing device or server completely.It is being related to far
Journey calculates in the situation of equipment, and remote computing device can pass through the network of any kind, including local area network (LAN) or wide area network
(WAN), it is connected to user calculating equipment, or, it may be connected to external computing device (such as utilize ISP
To be connected by internet).
In addition, above-mentioned attached drawing is only the schematic theory of processing included by method according to an exemplary embodiment of the present invention
It is bright, rather than limit purpose.It can be readily appreciated that the time that above-mentioned processing shown in the drawings did not indicated or limited these processing is suitable
Sequence.In addition, be also easy to understand, these processing, which can be, for example either synchronously or asynchronously to be executed in multiple modules.
Those skilled in the art after considering the specification and implementing the invention disclosed here, will readily occur to its of the disclosure
His embodiment.This application is intended to cover any variations, uses, or adaptations of the disclosure, these modifications, purposes or
Adaptive change follow the general principles of this disclosure and including the undocumented common knowledge in the art of the disclosure or
Conventional techniques.The description and examples are only to be considered as illustrative, and the true scope and spirit of the disclosure are by claim
It points out.
It should be understood that the present disclosure is not limited to the precise structures that have been described above and shown in the drawings, and
And various modifications and changes may be made without departing from the scope thereof.The scope of the present disclosure is only limited by the attached claims.
Claims (10)
1. a kind of away rust by laser method based on speech recognition characterized by comprising
Real-time reception voice messaging；
The voice messaging is identified to obtain speech recognition result；
Word segmentation processing is carried out to institute's speech recognition result, and extracts keyword；
According to the keyword query instruction list to obtain corresponding control instruction；
Laser is controlled according to the control instruction to derust.
2. the away rust by laser method according to claim 1 based on speech recognition, which is characterized in that the real-time reception language
After message breath, the method also includes:
Denoising is carried out to the received voice messaging.
3. the away rust by laser method according to claim 1 based on speech recognition, which is characterized in that the control instruction packet
It includes:
Any one of image capture instruction, operation enabled instruction, operation halt instruction and derusting result decision instruction are appointed
It anticipates multinomial.
4. the away rust by laser method according to claim 3 based on speech recognition, which is characterized in that the control instruction is
When image capture instruction, which comprises
Image to be processed is acquired according to described image acquisition instructions；
The image to be processed is pre-processed to obtain pretreatment image；
The pretreatment image is handled to obtain laser processing parameter using the parameter computation model trained；
Laser is controlled according to the laser processing parameter to derust.
5. the away rust by laser method according to claim 3 based on speech recognition, which is characterized in that the control instruction is
When derusting result decision instruction, the method also includes:
Present image is acquired, and the present image is pre-processed to obtain the second pretreatment image；
The pretreatment image and the second pretreatment image are compared to obtain derusting result.
6. the away rust by laser method according to claim 5 based on remote program control device, which is characterized in that the method is also wrapped
It includes:
Judge whether the derusting result meets preset condition；
When judging that the derusting result meets the preset condition, terminate derusting operation；Or
When judging that the derusting result is unsatisfactory for the preset condition, using the parameter calculating module trained to described
Second pretreatment image is handled to obtain laser processing parameter, in order to swash according to laser processing parameter control is described
Light device derusts.
7. according to claim 1 based on the away rust by laser method remotely controlled, which is characterized in that the method is also wrapped
It includes: the training parameter computation model, comprising:
Obtain corrosion image collection to be processed and corresponding derusting result images set；
Gray proces are carried out to image each in the corrosion image collection to be processed and the corresponding derusting result images set,
And establish the mapping relations of corrosion gray level image to be processed with corresponding derusting result gray level image；
Using the corrosion image collection to be processed and the corresponding derusting result images set as entering experienced original machine of participating in training
Learning model is with the computation model that gets parms.
8. a kind of laser rust-removing device based on speech recognition characterized by comprising
Speech reception module is used for real-time reception voice messaging；
Speech recognition module, for being identified the voice messaging to obtain speech recognition result；
Recognition result processing module carries out word segmentation processing to institute's speech recognition result, and extracts keyword；
Instruction acquisition module, for according to the keyword query instruction list to obtain corresponding control instruction；
Instruction execution module derusts for controlling laser according to the control instruction.
9. a kind of storage medium is stored thereon with computer program, realizes when described program is executed by processor and wanted according to right
Away rust by laser method described in asking any one of 1 to 7 based on speech recognition.
10. a kind of electric terminal characterized by comprising
Processor；And memory, for storing the executable instruction of the processor；
Wherein, the processor is configured to come described in any one of perform claim requirement 1 to 7 via the execution executable instruction
The away rust by laser method based on speech recognition.
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