CN108038842A - Shared bicycle Weigh sensor method - Google Patents
Shared bicycle Weigh sensor method Download PDFInfo
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- CN108038842A CN108038842A CN201711220154.1A CN201711220154A CN108038842A CN 108038842 A CN108038842 A CN 108038842A CN 201711220154 A CN201711220154 A CN 201711220154A CN 108038842 A CN108038842 A CN 108038842A
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- 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
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C9/00—Measuring inclination, e.g. by clinometers, by levels
- G01C9/18—Measuring inclination, e.g. by clinometers, by levels by using liquids
- G01C9/24—Measuring inclination, e.g. by clinometers, by levels by using liquids in closed containers partially filled with liquid so as to leave a gas bubble
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F17/00—Coin-freed apparatus for hiring articles; Coin-freed facilities or services
- G07F17/0042—Coin-freed apparatus for hiring articles; Coin-freed facilities or services for hiring of objects
- G07F17/0057—Coin-freed apparatus for hiring articles; Coin-freed facilities or services for hiring of objects for the hiring or rent of vehicles, e.g. cars, bicycles or wheelchairs
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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
- G06T2207/10—Image acquisition modality
- G06T2207/10032—Satellite or aerial image; Remote sensing
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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
- G06T2207/20—Special algorithmic details
- G06T2207/20024—Filtering details
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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
- G06T2207/20—Special algorithmic details
- G06T2207/20172—Image enhancement details
- G06T2207/20192—Edge enhancement; Edge preservation
Abstract
The present invention relates to a kind of shared bicycle Weigh sensor method, including：Using the horizontal measuring instrument being arranged on the vertical beam of shared bicycle, whether the vertical beam for determining shared bicycle based on bubble regime therein is in upright state；When the vertical beam for determining shared bicycle be in upright state, send the first setting signal, determine the vertical beam of shared bicycle in couch state when, send first and couch signal；Receive first couch signal when, open the data receiver to remote sensing satellite, when receiving the first setting signal, close the data receiver to remote sensing satellite；Wherein, receive first couch signal when, open the data receiver to remote sensing satellite, when receiving the first setting signal, closing includes the data receiver of remote sensing satellite：Using remote sensing images receiving device, for signal or first erectting signal receiving first and couch, the data receiver to remote sensing satellite is turned on and off, the data received from remote sensing satellite are remote sensing images.
Description
The application is application number：2017103618298, the applying date：On May 22nd, 2017, denomination of invention：Shared bicycle
The divisional application of Weigh sensor method.
Technical field
The present invention relates to shared bicycle field, more particularly to a kind of shared bicycle Weigh sensor method.
Background technology
Third party's data research mechanism up to consulting than issuing a few days ago《The shared bicycle market intelligence of 2016 China》It is aobvious
Show, by the end of the year 2016, the shared bicycle market entirety number of users of China has reached 18,860,000, it is contemplated that 2017, shares bicycle
Marketing users scale increases substantially holding is continued, and the end of the year will be up to 50,000,000 userbases.
Report points out that the shared bicycle market of China has been subjected to three developing stage.2007-2010 are the first rank
Section, the country is introduced by the public bicycle pattern of foreign countries' rise, divides city management by Government-Leading, mostly there is a bicycle.
2010-2014 are second stage, and the enterprise for dealing exclusively in bicycle market starts to occur, but public bicycle is still to there is stake list
Based on car.2014 are the phase III so far, and with the fast development of mobile Internet, list is shared in the internet headed by OFO
Car comes into being, and more easily starting substitution without stake bicycle has a bicycle.
Report display, at present, OFO and two business excellences of Mo Bai are obvious in the shared bicycle market of China, wherein,
OFO bicycle injected volumes are most, reach 800,000, occupation rate of market 51.2%；Rub and visit 600,000, bicycle, occupation rate of market
40.1%.
Report also shows that shared bicycle is more welcome by young men.Male's accounting 54.2% in the shared bicycle user of China,
Women accounting 45.8%.In age of user distribution, crowd is used at most, secondly less than 25 years old crowd within 25 years old -35 years old.Use
In frequency, the user weekly using 3 times -4 times is most.
With flourishing for shared bicycle, some problems itself brought also emerge, and have to be solved.For example,
Since shared bicycle distribution is excessively scattered, its operator be difficult the substantial amounts of man power and material of distribution carry out shared bicycle repairing and
Safeguard, cause some shared bicycles to be chronically at the state fallen down, at this moment, not only influence urban landscape, but also client can be reduced
Desire of riding, so as to form vicious circle.
The content of the invention
To solve the above-mentioned problems, the present invention provides a kind of shared bicycle Weigh sensor method, detected using level
The pattern of remote Sensing Image Analysis after instrument detection, while not impact analysis result, is reduced and is carried out using cumbersome remote sensing images
The number of analysis, so as to improve the efficiency and precision of tilt state detection, when particularly important, employ targetedly,
High-precision image filtering tupe, image content-based carry out adaptive filtering process step by step, improve to be detected
The clarity of remote sensing images.
According to an aspect of the present invention, there is provided a kind of shared bicycle Weigh sensor method, the described method includes：
Using the horizontal measuring instrument being arranged on the vertical beam of shared bicycle, the perpendicular of shared bicycle is determined based on bubble regime therein
Whether beam is in upright state；
When the vertical beam for determining shared bicycle is in upright state, the first setting signal is sent, is determining the vertical beam of shared bicycle
In couch state when, send first and couch signal；
Receive described first couch signal when, open the data receiver to remote sensing satellite, receiving it is described first erect
During signal, the data receiver to remote sensing satellite is closed；
Wherein, receive described first couch signal when, open the data receiver to remote sensing satellite, receiving described first
When erectting signal, closing includes the data receiver of remote sensing satellite：Using remote sensing images receiving device, for receive it is described
First couch signal or it is described first erect signal, be turned on and off the data receiver to remote sensing satellite, from remote sensing satellite receive
The data arrived are remote sensing images.
More specifically, in the shared bicycle Weigh sensor method, further include：
Using the first filter apparatus, it is connected with the remote sensing images receiving device, for receiving remote sensing images, to the remote sensing figure
As performing wavelet filtering processing, Wiener filtering processing, median filter process and Gassian low-pass filter processing at the same time, to obtain respectively
First filtering image, the second filtering image, the 3rd filtering image and the 4th filtering image, at the same to first filtering image,
Second filtering image, the 3rd filtering image and the 4th filtering image carry out Analysis signal-to-noise ratio (SNR) to obtain the respectively
One signal-to-noise ratio, the second signal-to-noise ratio, the 3rd signal-to-noise ratio and the 4th signal-to-noise ratio, select the letter of numerical value maximum from four signal-to-noise ratio
Make an uproar than as target signal to noise ratio, using the corresponding filtering image of target signal to noise ratio as target filtering image；
Strengthen equipment using edge, be connected with first filter apparatus, for carrying out edge increasing to the target filtering image
Manage to obtain edge enhanced images strength.
More specifically, in the shared bicycle Weigh sensor method, further include：
Using noise analysis equipment, be connected with edge enhancing equipment, for edge enhanced images progress noise into
Analysis is decomposed to obtain various noise types and corresponding each noise signal component in the edge enhanced images, is being obtained
Three noise signal components of amplitude maximum are selected in each noise signal component obtained and are sorted from big to small according to amplitude
Respectively as the first noise signal component, the second noise signal component and the 3rd noise signal component；
Using the second filter apparatus, strengthen equipment with the edge respectively and the noise analysis equipment is connected, for from image
It is corresponding respectively with the first noise signal component, the second noise signal component and the 3rd noise signal component to filter search in template library
Image filtering masterplate using as first filtering masterplate, second filtering masterplate and the 3rd filtering masterplate, based on described first filtering
Masterplate, the second filtering masterplate and the 3rd filtering masterplate perform filtering process to obtain most to the edge enhanced images
Whole filtering image；
Using image recognition apparatus, it is connected with second filter apparatus, for receiving the final filtering image, and to described
Final filtering image carries out target identification and dbjective state analysis, is with the shared bicycle in the definite final filtering image
It is no to couch formula profile, if it is not, then send the second setting signal, couch signal if it is, sending second；
Using adaptive pricing equipment, be connected with described image identification equipment, for receive second couch signal when, for choosing
The bicyclist for selecting corresponding shared bicycle of riding formulates amount of money award, is receiving the second setting signal, to select correspondence of riding
Shared bicycle bicyclist formulate toll amount；
Wherein, second filter apparatus is based on the described first filtering masterplate, the second filtering masterplate and the 3rd filtering
Masterplate performs filtering process to the edge enhanced images to be included with obtaining final filtering image：First using the described first filtering mould
Version performs filtering process to the edge enhanced images, obtains the first median filter image, reuses the second filtering masterplate
Filtering process is performed to the first median filter image, obtains the second median filter image, finally using the described 3rd filtering
Masterplate performs filtering process to the second median filter image, obtains final filtering image.
More specifically, in the shared bicycle Weigh sensor method, further include：Using the Big Dipper navigation equipment, use
In the real-time Present navigation data for providing shared bicycle.
More specifically, in the shared bicycle Weigh sensor method：Described image identification equipment and described the Big Dipper
Navigation equipment connects, and described image identification equipment carries out target identification to the final filtering image and dbjective state is analyzed,
To determine whether the shared bicycle in the final filtering image is that the formula profile that couches includes：The Present navigation data are received,
The target identification of shared bicycle is carried out from the final filtering image based on the Present navigation data, to determine and be partitioned into institute
State the shared bicycle subgraph in final filtering image.
More specifically, in the shared bicycle Weigh sensor method：Described image identification equipment is to the final filter
Whether ripple image carries out target identification and dbjective state analysis, be horizontal with the shared bicycle determined in the final filtering image
The formula profile of lying further includes：The matching result of bicycle pattern is shared based on the shared bicycle subgraph and benchmark, determine it is described most
Whether the shared bicycle in whole filtering image is the formula profile that couches.
Brief description of the drawings
Embodiment of the present invention is described below with reference to attached drawing, wherein：
Fig. 1 is the block diagram of the shared bicycle Weigh sensor system according to embodiment of the present invention.
Fig. 2 is the step flow chart of the shared bicycle Weigh sensor method according to embodiment of the present invention.
Reference numeral：1 horizontal measuring instrument；2 bubble regime detection devices；3 remote sensing starting devices；4 remote sensing images are received and set
It is standby；S101 determines shared bicycle using the horizontal measuring instrument being arranged on the vertical beam of shared bicycle based on bubble regime therein
Vertical beam whether be in upright state；S102 sends the first setting letter when the vertical beam for determining shared bicycle is in upright state
Number, when the vertical beam for determining shared bicycle is in and couches state, send first and couch signal；S103 is receiving first horizontal stroke
Lie signal when, open the data receiver to remote sensing satellite, receive it is described first erect signal when, close to remote sensing satellite
Data receiver.
Embodiment
The embodiment of the shared bicycle Weigh sensor method of the present invention is described in detail below with reference to accompanying drawings.
Currently, since the development speed for sharing bicycle is very fast, its final-period management and Maintenance Difficulty are to keep up with increasing for its quantity.
Meanwhile it is different from net about car, the operation of bicycle is influenced also bigger by seasonal variations, weather conditions etc..As for meeting typhoon
Heavy rain, then no matter be located in where, the order volume of public bicycles trip, all can straight line decline and be even zeroed, and platform must face
Depreciable cost is damaged to higher car.Compared with the public bicycles of " having stake ", this " the no stake " taken and stopped at any time
While theory brings great convenience to citizen, also cause " random road occupying " phenomenon of " small screw oil expeller " and " little Huang cars " more general
Time, the management of city space thus becomes more difficult.
Due to disorderly parking or the reasons such as strong wind is blown down, once shared bicycle is in traverse state, customer is ready the heart ridden
State produces change immediately, they may select those to seem to safeguard in good condition and put neat vehicle and ride,
In this way, after long-time, the shared bicycle of traverse can be further outmoded or even scraps, and great economic loss is caused to operator.
In order to overcome above-mentioned deficiency, the present invention has built a kind of shared bicycle Weigh sensor system and method, Neng Gouli
Judge whether shared bicycle is in tilt state, and notifying backstage in time under tilt state and carried for bicyclist
For the condition of riding, so as to reach the effect of self and management, the financial cost of operator is reduced.
Fig. 1 is the block diagram of the shared bicycle Weigh sensor system according to embodiment of the present invention, described
System includes：
Horizontal measuring instrument, is arranged on the vertical beam of shared bicycle, for determining the perpendicular of shared bicycle based on bubble regime therein
Whether beam is in upright state；
Bubble regime detection device, is connected with the horizontal measuring instrument, and shape is erect for being in the vertical beam for determining shared bicycle
During state, the first setting signal is sent, when the vertical beam for determining shared bicycle is in and couches state, first is sent and couches signal；
Remote sensing starting device, is connected with the bubble regime detection device, for receive described first couch signal when, open
The data receiver to remote sensing satellite is opened, when receiving the first setting signal, closes the data receiver to remote sensing satellite；
Remote sensing images receiving device, is connected with the remote sensing starting device, under the control of the remote sensing starting device, opening
The data receiver to remote sensing satellite is opened or closes, the data received from remote sensing satellite are remote sensing images.
Then, continue that the concrete structure of the shared bicycle Weigh sensor system of the present invention is further detailed.
In the shared bicycle Weigh sensor system, further include：
First filter apparatus, is connected with the remote sensing images receiving device, same to the remote sensing images for receiving remote sensing images
The processing of Shi Zhihang wavelet filterings, Wiener filtering processing, median filter process and Gassian low-pass filter processing, to obtain first respectively
Filtering image, the second filtering image, the 3rd filtering image and the 4th filtering image, while to first filtering image, described
Second filtering image, the 3rd filtering image and the 4th filtering image carry out Analysis signal-to-noise ratio (SNR) to obtain the first letter respectively
Make an uproar ratio, the second signal-to-noise ratio, the 3rd signal-to-noise ratio and the 4th signal-to-noise ratio, the signal-to-noise ratio of numerical value maximum is selected from four signal-to-noise ratio
As target signal to noise ratio, using the corresponding filtering image of target signal to noise ratio as target filtering image；
Edge strengthens equipment, is connected with first filter apparatus, for being carried out to the target filtering image at edge enhancing
Manage to obtain edge enhanced images.
In the shared bicycle Weigh sensor system, further include：
Noise analysis equipment, is connected with edge enhancing equipment, for carrying out noise contribution solution to the edge enhanced images
Analysis is to obtain various noise types and corresponding each noise signal component in the edge enhanced images, in acquisition
Three noise signal components of amplitude maximum and the difference that sorts from big to small according to amplitude are selected in each noise signal component
As the first noise signal component, the second noise signal component and the 3rd noise signal component；
Second filter apparatus, strengthens equipment and the noise analysis equipment with the edge respectively and is connected, for from image filtering
Figure corresponding with the first noise signal component, the second noise signal component and the 3rd noise signal component is searched in template library
As filtering masterplate using as first filtering masterplate, second filtering masterplate and the 3rd filtering masterplate, based on described first filtering masterplate,
The second filtering masterplate and the 3rd filtering masterplate perform filtering process to obtain final filter to the edge enhanced images
Ripple image；
Image recognition apparatus, is connected with second filter apparatus, for receiving the final filtering image, and to described final
Filtering image carries out target identification and dbjective state analysis, with determine the shared bicycle in the final filtering image whether be
The formula that couches profile, if it is not, then send the second setting signal, couches signal if it is, sending second；
Adaptive pricing equipment, is connected with described image identification equipment, for receive second couch signal when, for selection ride
The bicyclist of the corresponding shared bicycle of row formulates amount of money award, is receiving the second setting signal, rides for selection corresponding common
The bicyclist for enjoying bicycle formulates toll amount；
Wherein, second filter apparatus is based on the described first filtering masterplate, the second filtering masterplate and the 3rd filtering
Masterplate performs filtering process to the edge enhanced images to be included with obtaining final filtering image：First using the described first filtering mould
Version performs filtering process to the edge enhanced images, obtains the first median filter image, reuses the second filtering masterplate
Filtering process is performed to the first median filter image, obtains the second median filter image, finally using the described 3rd filtering
Masterplate performs filtering process to the second median filter image, obtains final filtering image.
In the shared bicycle Weigh sensor system, further include：The Big Dipper navigation equipment, it is shared for providing in real time
The Present navigation data of bicycle.
In the shared bicycle Weigh sensor system：Described image identification equipment connects with the Big Dipper navigation equipment
Connect, described image identification equipment carries out target identification to the final filtering image and dbjective state is analyzed, described to determine
Whether shared bicycle in final filtering image is that the formula profile that couches includes：The Present navigation data are received, are worked as based on described
Preceding navigation data carries out the target identification of shared bicycle from the final filtering image, to determine and be partitioned into the final filtering
Shared bicycle subgraph in image.
In the shared bicycle Weigh sensor system：Described image identification equipment carries out the final filtering image
Target identification and dbjective state analysis, to determine whether the shared bicycle in the final filtering image is to couch formula profile also
Including：The matching result of bicycle pattern is shared based on the shared bicycle subgraph and benchmark, determines the final filtering image
In shared bicycle whether be the formula profile that couches.
Fig. 2 is the step flow chart of the shared bicycle Weigh sensor method according to embodiment of the present invention, described
Method includes：
Using the horizontal measuring instrument being arranged on the vertical beam of shared bicycle, the perpendicular of shared bicycle is determined based on bubble regime therein
Whether beam is in upright state；
When the vertical beam for determining shared bicycle is in upright state, the first setting signal is sent, is determining the vertical beam of shared bicycle
In couch state when, send first and couch signal；
Receive described first couch signal when, open the data receiver to remote sensing satellite, receiving it is described first erect
During signal, the data receiver to remote sensing satellite is closed；
Wherein, receive described first couch signal when, open the data receiver to remote sensing satellite, receiving described first
When erectting signal, closing includes the data receiver of remote sensing satellite：Using remote sensing images receiving device, for receive it is described
First couch signal or it is described first erect signal, be turned on and off the data receiver to remote sensing satellite, from remote sensing satellite receive
The data arrived are remote sensing images.
Then, continue that the idiographic flow of the shared bicycle Weigh sensor method of the present invention is further detailed.
In the shared bicycle Weigh sensor method, further include：
Using the first filter apparatus, it is connected with the remote sensing images receiving device, for receiving remote sensing images, to the remote sensing figure
As performing wavelet filtering processing, Wiener filtering processing, median filter process and Gassian low-pass filter processing at the same time, to obtain respectively
First filtering image, the second filtering image, the 3rd filtering image and the 4th filtering image, at the same to first filtering image,
Second filtering image, the 3rd filtering image and the 4th filtering image carry out Analysis signal-to-noise ratio (SNR) to obtain the respectively
One signal-to-noise ratio, the second signal-to-noise ratio, the 3rd signal-to-noise ratio and the 4th signal-to-noise ratio, select the letter of numerical value maximum from four signal-to-noise ratio
Make an uproar than as target signal to noise ratio, using the corresponding filtering image of target signal to noise ratio as target filtering image；
Strengthen equipment using edge, be connected with first filter apparatus, for carrying out edge increasing to the target filtering image
Manage to obtain edge enhanced images strength.
In the shared bicycle Weigh sensor method, further include：
Using noise analysis equipment, be connected with edge enhancing equipment, for edge enhanced images progress noise into
Analysis is decomposed to obtain various noise types and corresponding each noise signal component in the edge enhanced images, is being obtained
Three noise signal components of amplitude maximum are selected in each noise signal component obtained and are sorted from big to small according to amplitude
Respectively as the first noise signal component, the second noise signal component and the 3rd noise signal component；
Using the second filter apparatus, strengthen equipment with the edge respectively and the noise analysis equipment is connected, for from image
It is corresponding respectively with the first noise signal component, the second noise signal component and the 3rd noise signal component to filter search in template library
Image filtering masterplate using as first filtering masterplate, second filtering masterplate and the 3rd filtering masterplate, based on described first filtering
Masterplate, the second filtering masterplate and the 3rd filtering masterplate perform filtering process to obtain most to the edge enhanced images
Whole filtering image；
Using image recognition apparatus, it is connected with second filter apparatus, for receiving the final filtering image, and to described
Final filtering image carries out target identification and dbjective state analysis, is with the shared bicycle in the definite final filtering image
It is no to couch formula profile, if it is not, then send the second setting signal, couch signal if it is, sending second；
Using adaptive pricing equipment, be connected with described image identification equipment, for receive second couch signal when, for choosing
The bicyclist for selecting corresponding shared bicycle of riding formulates amount of money award, is receiving the second setting signal, to select correspondence of riding
Shared bicycle bicyclist formulate toll amount；
Wherein, second filter apparatus is based on the described first filtering masterplate, the second filtering masterplate and the 3rd filtering
Masterplate performs filtering process to the edge enhanced images to be included with obtaining final filtering image：First using the described first filtering mould
Version performs filtering process to the edge enhanced images, obtains the first median filter image, reuses the second filtering masterplate
Filtering process is performed to the first median filter image, obtains the second median filter image, finally using the described 3rd filtering
Masterplate performs filtering process to the second median filter image, obtains final filtering image.
In the shared bicycle Weigh sensor method, further include：Using the Big Dipper navigation equipment, for providing in real time
The Present navigation data of shared bicycle.
In the shared bicycle Weigh sensor method：Described image identification equipment connects with the Big Dipper navigation equipment
Connect, described image identification equipment carries out target identification to the final filtering image and dbjective state is analyzed, described to determine
Whether shared bicycle in final filtering image is that the formula profile that couches includes：The Present navigation data are received, are worked as based on described
Preceding navigation data carries out the target identification of shared bicycle from the final filtering image, to determine and be partitioned into the final filtering
Shared bicycle subgraph in image.
In the shared bicycle Weigh sensor method：Described image identification equipment carries out the final filtering image
Target identification and dbjective state analysis, to determine whether the shared bicycle in the final filtering image is to couch formula profile also
Including：The matching result of bicycle pattern is shared based on the shared bicycle subgraph and benchmark, determines the final filtering image
In shared bicycle whether be the formula profile that couches.
In addition, image filtering, i.e., press down the noise of target image under conditions of image detail feature is retained as far as possible
System, is indispensable operation in image preprocessing, and the quality of its treatment effect will directly influence successive image processing and divide
The validity and reliability of analysis.
Due to the imperfection of imaging system, transmission medium and recording equipment etc., digital picture is in its formation, transmission log mistake
Often polluted in journey be subject to a variety of noises.In addition, some links in image procossing when the picture object inputted and are not so good as pre-
Also noise can be introduced when thinking in result images.These noises often show as one and cause the isolated of stronger visual effect on the image
Pixel or block of pixels.Generally, noise signal it is uncorrelated to the object to be studied it occur with useless message form, upset figure
The observable information of picture.For data image signal, psophometer is either large or small extreme value, these extreme values are acted on by plus-minus
On the true gray value of image pixel, the interference of bright, dim spot is caused to image, greatly reduces picture quality, influence image restoration,
The progress of the follow-up work such as segmentation, feature extraction, image recognition.A kind of wave filter for effectively suppressing noise is constructed to must take into consideration
Two basic problems：The noise in target and background can effectively be removed；Meanwhile can protect well image object shape,
Size and specific geometry and topological features.
One kind in common image filtering pattern is nonlinear filter, it is, in general, that when signal spectrum and noise frequency
Such as the noise as caused by mission nonlinear or there are non-gaussian to make an uproar when composing aliasing or when containing nonadditivity noise in signal
Sound etc.), traditional linear filter technology, such as Fourier conversion, while noise is filtered out, always blurred picture is thin in some way
Section (such as edge) and then the extraction property reduction for causing the positioning accuracy and feature as linear character.And nonlinear filter is
Based on a kind of Nonlinear Mapping relation to input signal, often a certain specific noise approx can be mapped as zero and retained
Signal wants feature, thus it can overcome the shortcoming of linear filter to a certain extent.
Shared bicycle Weigh sensor system and method using the present invention, in the prior art share bicycle safeguard into
This excessive technical problem, by the double check of horizon detector and remote sensing images, improves shared bicycle situation detection itself
Precision, and adaptive pricing equipment is caused when shared bicycle couches based on testing result, ridden for selection corresponding shared
The bicyclist of bicycle formulates amount of money award, when shared bicycle is erect, the bicyclist's system for corresponding shared bicycle of riding for selection
Determine toll amount, so that while providing accommodating for bicyclist, shared bicycle is safeguarded in itself.
It is understood that although the present invention is disclosed as above with preferred embodiment, but above-described embodiment and it is not used to
Limit the present invention.For any those skilled in the art, without departing from the scope of the technical proposal of the invention,
Many possible changes and modifications are all made to technical solution of the present invention using the technology contents of the disclosure above, or are revised as
With the equivalent embodiment of change.Therefore, every content without departing from technical solution of the present invention, the technical spirit pair according to the present invention
Any simple modifications, equivalents, and modifications made for any of the above embodiments, still fall within the scope of technical solution of the present invention protection
It is interior.
Claims (1)
- A kind of 1. shared bicycle Weigh sensor method, it is characterised in that the described method includes：Using the horizontal measuring instrument being arranged on the vertical beam of shared bicycle, the perpendicular of shared bicycle is determined based on bubble regime therein Whether beam is in upright state；When the vertical beam for determining shared bicycle is in upright state, the first setting signal is sent, is determining the vertical beam of shared bicycle In couch state when, send first and couch signal；Receive described first couch signal when, open the data receiver to remote sensing satellite, receiving it is described first erect During signal, the data receiver to remote sensing satellite is closed；Wherein, receive described first couch signal when, open the data receiver to remote sensing satellite, receiving described first When erectting signal, closing includes the data receiver of remote sensing satellite：Using remote sensing images receiving device, for receive it is described First couch signal or it is described first erect signal, be turned on and off the data receiver to remote sensing satellite, from remote sensing satellite receive The data arrived are remote sensing images；Further include：Using the first filter apparatus, it is connected with the remote sensing images receiving device, for receiving remote sensing images, to institute State remote sensing images and perform wavelet filtering processing, Wiener filtering processing, median filter process and Gassian low-pass filter processing at the same time, with The first filtering image, the second filtering image, the 3rd filtering image and the 4th filtering image are obtained respectively, while are filtered to described first Ripple image, second filtering image, the 3rd filtering image and the 4th filtering image carry out Analysis signal-to-noise ratio (SNR) to divide The first signal-to-noise ratio, the second signal-to-noise ratio, the 3rd signal-to-noise ratio and the 4th signal-to-noise ratio are not obtained, and numerical value is selected from four signal-to-noise ratio Maximum signal-to-noise ratio is as target signal to noise ratio, using the corresponding filtering image of target signal to noise ratio as target filtering image；Strengthen equipment using edge, be connected with first filter apparatus, for carrying out edge increasing to the target filtering image Manage to obtain edge enhanced images strength；Further include：Using noise analysis equipment, it is connected with edge enhancing equipment, for being carried out to the edge enhanced images Noise contribution parsing with obtain in the edge enhanced images various noise types and corresponding each noise signal into Point, selected in each noise signal component of acquisition amplitude maximum three noise signal components and according to amplitude from greatly to Small sequence is respectively as the first noise signal component, the second noise signal component and the 3rd noise signal component；Using the second filter apparatus, strengthen equipment with the edge respectively and the noise analysis equipment is connected, for from image It is corresponding respectively with the first noise signal component, the second noise signal component and the 3rd noise signal component to filter search in template library Image filtering masterplate using as first filtering masterplate, second filtering masterplate and the 3rd filtering masterplate, based on described first filtering Masterplate, the second filtering masterplate and the 3rd filtering masterplate perform filtering process to obtain most to the edge enhanced images Whole filtering image；Using image recognition apparatus, it is connected with second filter apparatus, for receiving the final filtering image, and to described Final filtering image carries out target identification and dbjective state analysis, is with the shared bicycle in the definite final filtering image It is no to couch formula profile, if it is not, then send the second setting signal, couch signal if it is, sending second；Using adaptive pricing equipment, be connected with described image identification equipment, for receive second couch signal when, for choosing The bicyclist for selecting corresponding shared bicycle of riding formulates amount of money award, is receiving the second setting signal, to select correspondence of riding Shared bicycle bicyclist formulate toll amount；Wherein, second filter apparatus is based on the described first filtering masterplate, the second filtering masterplate and the 3rd filtering Masterplate performs filtering process to the edge enhanced images to be included with obtaining final filtering image：First using the described first filtering mould Version performs filtering process to the edge enhanced images, obtains the first median filter image, reuses the second filtering masterplate Filtering process is performed to the first median filter image, obtains the second median filter image, finally using the described 3rd filtering Masterplate performs filtering process to the second median filter image, obtains final filtering image；Described image identification equipment is connected with the Big Dipper navigation equipment, and described image identification equipment is to the final filtering figure As carrying out target identification and dbjective state analysis, to determine whether the shared bicycle in the final filtering image is the formula of couching Profile includes：The Present navigation data are received, are shared based on the Present navigation data from the final filtering image The target identification of bicycle, to determine and be partitioned into the shared bicycle subgraph in the final filtering image；Described image identification equipment carries out target identification to the final filtering image and dbjective state is analyzed, described to determine Whether shared bicycle in final filtering image is that the formula profile that couches further includes：It is total to based on the shared bicycle subgraph with benchmark The matching result of bicycle pattern is enjoyed, determines whether the shared bicycle in the final filtering image is the formula profile that couches.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711220154.1A CN108038842A (en) | 2017-05-22 | 2017-05-22 | Shared bicycle Weigh sensor method |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201711220154.1A CN108038842A (en) | 2017-05-22 | 2017-05-22 | Shared bicycle Weigh sensor method |
| CN201710361829.8A CN107203992B (en) | 2017-05-22 | 2017-05-22 | Shared bicycle Weigh sensor method |
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| CN201710361829.8A Division CN107203992B (en) | 2017-05-22 | 2017-05-22 | Shared bicycle Weigh sensor method |
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| CN108038842A true CN108038842A (en) | 2018-05-15 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109620022A (en) * | 2018-12-04 | 2019-04-16 | 余姚市腾翔电子科技有限公司 | Intelligent double spray head shower systems |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TW561262B (en) * | 2001-10-19 | 2003-11-11 | Yamaha Motor Co Ltd | Tipping detecting device for a motorcycle |
| CN202522233U (en) * | 2012-04-15 | 2012-11-07 | 河南省电力公司南阳供电公司 | Pole collapse preventive warning device |
| CN104097635A (en) * | 2014-07-16 | 2014-10-15 | 天津动芯科技有限公司 | Detection device and detection method for prevention of vehicle rollover |
| CN204895677U (en) * | 2015-07-14 | 2015-12-23 | 于洪涛 | Electric bicycle emptys alarm device |
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2017
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109620022A (en) * | 2018-12-04 | 2019-04-16 | 余姚市腾翔电子科技有限公司 | Intelligent double spray head shower systems |
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| CN107203992A (en) | 2017-09-26 |
| CN107203992B (en) | 2018-01-23 |
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