CN109238349A - Seat temperature cloud computing measuring system - Google Patents
Seat temperature cloud computing measuring system Download PDFInfo
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- CN109238349A CN109238349A CN201810849113.7A CN201810849113A CN109238349A CN 109238349 A CN109238349 A CN 109238349A CN 201810849113 A CN201810849113 A CN 201810849113A CN 109238349 A CN109238349 A CN 109238349A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0428—Safety, monitoring
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2664—Audio light, animation, stage, theatre light
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2666—Toy
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- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
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Abstract
The present invention relates to a kind of seat temperature cloud computing measuring systems, comprising: speed measuring equipment is arranged on the car body of roller-coaster, the current speed of service of the car body for measuring the roller-coaster；Temperature measurement equipment array, including multiple temperature measurement equipments, each temperature measurement equipment are arranged on one seat of car body of roller-coaster, for measuring the real-time temperature of corresponding seat based on cloud computing；Temperature analysis equipment is connect with the multiple temperature measurement equipment respectively, for receiving the real-time temperature of multiple seats, processing is averaged to the real-time temperature of the multiple seat, to obtain corresponding mean temperature, and when the mean temperature transfinites, issues temperature and cross high RST；Car body controls motor, connect with the car body of the roller-coaster, controls for the car body to the roller-coaster.Through the invention, it ensure that the validity of situ measurements.
Description
Technical field
The present invention relates to field of cloud calculation more particularly to a kind of seat temperature cloud computing measuring systems.
Background technique
Cloud computing service also necessarily provides storage service other than providing the service of calculating.But cloud computing service is current
Monopolization is in private organization (enterprise) hand, and they are merely capable of providing commercial credit.It is (special for government organs, commercial undertaking
Do not hold the commercial undertaking of sensitive data as bank) enough vigilant should be kept for selection cloud computing service.Once quotient
The cloud computing service that industry user's large-scale use private organization provides, no matter its technical advantage has mostly by force, all inevitably allows
These private organizations force entire society to do one's bidding with the importance of " data (information) ".For information-intensive society, " information " is to pass
Important.On the other hand, the data in cloud computing are secrecy for the other users cloud computing user other than data owner,
But having no secret really for the commercial undertaking for providing cloud computing can say.All these potential danger, are merchant
When the cloud computing service that structure and government organs' selection cloud computing service, particularly foreign organization provide, it has to one of consideration
Important premise.
Summary of the invention
In order to solve the bad technical problem of field data measurement effect, the present invention provides a kind of seat temperature cloud computings
Measuring system improves the validity of scene temperature measurement, to roller-coaster based on the real-time temperature of cloud computing measurement roller-coaster seat
In each human body carry out age detection and subsequent average value processing, to obtain human body age mean value, and be based on the human body age
Mean value determines corresponding music style to carry out the broadcasting of corresponding music content, meets the music of the most extensive crowd in scene as far as possible
Demand；Particle point also is carried out to image to be processed using the size cycling among windows directly proportional to the signal-to-noise ratio of the high-definition image
Analysis, to obtain particle low pass pattern therein and non-particulate low pass pattern, and to particle low pass pattern and non-particulate low pass pattern
Different differentiation processing is carried out, to obtain the clearer filtered image of filter effect.
According to an aspect of the present invention, a kind of seat temperature cloud computing measuring system is provided, the system comprises:
Speed measuring equipment is arranged on the car body of roller-coaster, the current operation of the car body for measuring the roller-coaster
Speed, and when the speed measured is more than pre-set velocity threshold value, issue hypervelocity control instruction；Temperature measurement equipment array, packet
Multiple temperature measurement equipments are included, each temperature measurement equipment is arranged on one seat of car body of roller-coaster, for being based on cloud
Calculate the real-time temperature for measuring corresponding seat；Temperature analysis equipment is connect, for connecing respectively with the multiple temperature measurement equipment
The real-time temperature for receiving multiple seats averages processing to the real-time temperature of the multiple seat, corresponding average to obtain
Temperature, and when the mean temperature transfinites, it issues temperature and crosses high RST；Car body controls motor, the car body with the roller-coaster
Connection, controls for the car body to the roller-coaster；The top of the car body of the roller-coaster is arranged in image capture device
Portion carries out image capture for the vehicle body scene towards the roller-coaster, to obtain corresponding car body scene image, and it is defeated
The car body scene image out；Image traversal equipment is connect with described image capture device, for receiving the car body scene figure
Picture carries out non-overlapping formula traversal to the car body scene image according to sequence from left to right, from top to bottom using smooth window,
To obtain corresponding each cycling among windows, and export each cycling among windows；Particle collection equipment is set with described image traversal
Standby connection carries out following particle confirmation to each cycling among windows and acts for receiving each cycling among windows: obtaining every
The mean value of each brightness value of each pixel in one cycling among windows is using as window mean value, by the window mean value and institute
The overall brightness for stating car body scene image carries out irrelevance analysis, when irrelevance transfinites, confirms that the cycling among windows are particle
Piecemeal；Image divides equipment, connect with the particle collection equipment, each for being exported based on the particle collection equipment
Grain piecemeal forms the particle pattern in the car body scene image, after the car body scene image is removed the particle pattern
Image is as non-particulate pattern；Break up processing equipment, with described image divide equipment connect, for receive the particle pattern with
The non-particulate pattern uses predeterminated frequency threshold value to execute low-pass filtering treatment to the particle pattern as cutoff frequency to obtain
Particle low pass pattern is obtained, is also used to hold the non-particulate pattern as cutoff frequency using the half of predeterminated frequency threshold value
Row low-pass filtering treatment exports the particle low pass pattern and the non-particulate low pass pattern to obtain non-particulate low pass pattern；
Data are fitted equipment, connect with the differentiation processing equipment, for receiving the particle low pass pattern and the non-particulate low pass
Pattern, and the particle low pass pattern and the non-particulate low pass pattern are fitted to obtain the car body scene image pair
The fitting image answered；Age detection equipment is connect with data fitting equipment, for receiving the fitting image, obtains institute
The red color channel value for stating each of fitting image pixel, falls in human body red channel upper limit value and people for red color channel value
Pixel between body red channel lower limit value is determined as human region, obtains multiple human regions in the fitting image,
Everyone the body region corresponding age is determined respectively, it is corresponding multiple to multiple human regions in the fitting image
Age carries out calculating of averaging, to obtain corresponding mean value and export as human body age mean value；Style switching equipment, and it is described
The connection of age detection equipment, determines corresponding sound for receiving the human body age mean value, and based on the human body age mean value
Happy style, and export the corresponding music style；Music player devices are connect, for receiving with the style switching equipment
The corresponding music style, and play music content corresponding with the corresponding music style.
More specifically, in the seat temperature cloud computing measuring system: in the differentiation processing equipment, using default
It includes: by institute that frequency threshold, which executes low-pass filtering treatment to the particle pattern as cutoff frequency to obtain particle low pass pattern,
The image obtained after the frequency content removal in particle pattern more than cutoff frequency is stated as the particle low pass pattern and is exported
The particle low pass pattern.
More specifically, in the seat temperature cloud computing measuring system: in the differentiation processing equipment, using default
The half of frequency threshold is non-particulate low to obtain to the non-particulate pattern execution low-pass filtering treatment as cutoff frequency
Logical pattern includes: using the image obtained after the frequency content removal in the non-particulate pattern more than cutoff frequency as described
The non-low pass pattern of grain simultaneously exports the non-low pass pattern of the particle.
More specifically, in the seat temperature cloud computing measuring system: in described image traversal equipment, the traversal
Window is square window, and the side length of the square window is directly proportional to the signal-to-noise ratio of the car body scene image.
More specifically, in the seat temperature cloud computing measuring system: in the particle collection equipment, the car body
The obtaining mode of the overall brightness of scene image is as follows: obtaining each brightness of each pixel of the car body scene image
Value, averages to each brightness value of each pixel of the car body scene image to obtain the whole of the car body scene image
Body brightness.
More specifically, in the seat temperature cloud computing measuring system: in the particle collection equipment, the car body
The obtaining mode of the overall brightness of scene image is as follows: obtaining each brightness of each pixel of the car body scene image
Value, averages to each brightness value of each pixel of the car body scene image to obtain the whole of the car body scene image
Body brightness.
More specifically, in the seat temperature cloud computing measuring system: in the particle collection equipment, the car body
The obtaining mode of the overall brightness of scene image is as follows: obtaining each brightness of each pixel of the car body scene image
Value, averages to each brightness value of each pixel of the car body scene image to obtain the whole of the car body scene image
Body brightness.
More specifically, in the seat temperature cloud computing measuring system: in the temperature analysis equipment, being also used to
When the mean temperature does not transfinite, temperature normal signal is issued.
Detailed description of the invention
Embodiment of the present invention is described below with reference to attached drawing, in which:
Fig. 1 is according to the applied roller-coaster environment of seat temperature cloud computing measuring system shown in embodiment of the present invention
Scene structure figure.
Specific embodiment
The embodiment of seat temperature cloud computing measuring system of the invention is described in detail below with reference to accompanying drawings.
Cloud computing mainly experienced the four-stage just level of such comparative maturity till now, this four-stage is successively
It is power plant's mode, effectiveness calculating, grid computing and cloud computing.
Power plant's mode phases: power plant's mode to reduce the price of electric power, and allows like being the scale effect for utilizing power plant
User uses more convenient, and Maintenance free and buys any generating equipment.
Effectiveness calculation stages: in or so nineteen sixty, the price of calculating equipment was very high at that time, far from common enterprise
Industry, school and mechanism can bear, so many people produce the idea of shared computing resource.1961, the father of artificial intelligence
Mai Kenxi proposes " effectiveness calculating " this concept in a meeting, and core has used for reference power plant's mode, and objectives are whole
Conjunction is dispersed in server, storage system and the application program of various regions to share to multiple users, allows user can be as light bulb
Insertion lamp holder equally comes using computer resource, and amount used in it is to pay.But due to entire IT industry at that time
Also in the early stage of development, many powerful technologies are not born also, such as internet etc., so while this idea is person always
Road, but in general " more peddling less selling ".
The grid computing stage: how grid computing research asks what a very huge computing capability of needs just can solve
Topic is divided into many small parts, then these parts is distributed to the computer of many low performances to handle, finally these are counted
Calculation result, which integrates, captures big problem.Unfortunately, due to grid computing in terms of business model, technology and safety not
Foot, so that it does not obtain success in expectation in engineering circles and business circles.
The cloud computing stage: the core of cloud computing is calculated with effectiveness and grid computing is very similar, it is also desirable that IT technology energy
Facilitate as using electric power, and low in cost.But unlike effectiveness calculating and grid computing, 2014 in party in request
There has been certain scale in face, while being also mature on the whole in technical aspect.
In order to overcome above-mentioned deficiency, the present invention has built a kind of seat temperature cloud computing measuring system, can effectively solve the problem that
Corresponding technical problem.
Fig. 1 is according to the applied roller-coaster environment of seat temperature cloud computing measuring system shown in embodiment of the present invention
Scene structure figure.
The seat temperature cloud computing measuring system shown according to an embodiment of the present invention includes:
Speed measuring equipment is arranged on the car body of roller-coaster, the current operation of the car body for measuring the roller-coaster
Speed, and when the speed measured is more than pre-set velocity threshold value, issue hypervelocity control instruction；
Temperature measurement equipment array, including multiple temperature measurement equipments, each temperature measurement equipment are arranged in roller-coaster
One seat of car body on, for measuring the real-time temperature of corresponding seat based on cloud computing；
Temperature analysis equipment is connect with the multiple temperature measurement equipment respectively, for receiving the instant temperature of multiple seats
Degree, averages processing to the real-time temperature of the multiple seat, to obtain corresponding mean temperature, and in the average temperature
When degree transfinites, issues temperature and cross high RST；
Car body controls motor, connect with the car body of the roller-coaster, controls for the car body to the roller-coaster；
The top of the car body of the roller-coaster is arranged in image capture device, in the car body towards the roller-coaster
Portion's scene carries out image capture, to obtain corresponding car body scene image, and exports the car body scene image；
Image traversal equipment is connect with described image capture device, for receiving the car body scene image, using smooth
Window carries out non-overlapping formula traversal to the car body scene image according to sequence from left to right, from top to bottom, to obtain correspondence
Each cycling among windows, and export each cycling among windows；
Particle collection equipment is connect with described image traversal equipment, for receiving each cycling among windows, to described each
A cycling among windows carry out following particle confirmation movement: obtaining each brightness value of each pixel in each cycling among windows
Mean value as window mean value, the overall brightness of the window mean value and the car body scene image is carried out irrelevance analysis,
When irrelevance transfinites, confirm that the cycling among windows are particle piecemeal；
Image divides equipment, connect with the particle collection equipment, each for being exported based on the particle collection equipment
A particle piecemeal forms the particle pattern in the car body scene image, and the car body scene image is removed the particle pattern
Image afterwards is as non-particulate pattern；
Break up processing equipment, divides equipment with described image and connect, for receiving the particle pattern and described non-particulate
Pattern uses predeterminated frequency threshold value to execute low-pass filtering treatment to the particle pattern as cutoff frequency to obtain particle low pass
Pattern is also used to execute low-pass filtering to the non-particulate pattern as cutoff frequency using the half of predeterminated frequency threshold value
Processing exports the particle low pass pattern and the non-particulate low pass pattern to obtain non-particulate low pass pattern；
Data are fitted equipment, connect with the differentiation processing equipment, for receiving the particle low pass pattern and described non-
Particle low pass pattern, and the particle low pass pattern and the non-particulate low pass pattern are fitted to obtain the car body field
The corresponding fitting image of scape image；
Age detection equipment connect with data fitting equipment, for receiving the fitting image, obtains the fitting
Red color channel value is fallen in human body red channel upper limit value and human body is red by the red color channel value of each of image pixel
Pixel between the lower limit value of channel is determined as human region, obtains multiple human regions in the fitting image, true respectively
Fixed everyone the body region corresponding age, to multiple human regions corresponding multiple ages in the fitting image into
Capable calculating of averaging, to obtain corresponding mean value and be exported as human body age mean value；
Style switching equipment is connect with the age detection equipment, for receiving the human body age mean value, and is based on institute
It states human body age mean value and determines corresponding music style, and export the corresponding music style；
Music player devices are connect with the style switching equipment, for receiving the corresponding music style, and are played
Music content corresponding with the corresponding music style.
Then, continue that the specific structure of seat temperature cloud computing measuring system of the invention is further detailed.
In the seat temperature cloud computing measuring system: in the differentiation processing equipment, using predeterminated frequency threshold value
Executing low-pass filtering treatment to the particle pattern as cutoff frequency to obtain particle low pass pattern includes: by the particle figure
The image obtained after frequency content removal in case more than cutoff frequency is as the particle low pass pattern and exports the particle
Low pass pattern.
In the seat temperature cloud computing measuring system: in the differentiation processing equipment, using predeterminated frequency threshold value
Half low-pass filtering treatment is executed to obtain non-particulate low pass pattern packet to the non-particulate pattern as cutoff frequency
It includes: using the image obtained after the frequency content removal in the non-particulate pattern more than cutoff frequency as the non-low pass of the particle
Pattern simultaneously exports the non-low pass pattern of the particle.
In the seat temperature cloud computing measuring system: in the differentiation processing equipment, using predeterminated frequency threshold value
Half low-pass filtering treatment is executed to obtain non-particulate low pass pattern packet to the non-particulate pattern as cutoff frequency
It includes: using the image obtained after the frequency content removal in the non-particulate pattern more than cutoff frequency as the non-low pass of the particle
Pattern simultaneously exports the non-low pass pattern of the particle.
In the seat temperature cloud computing measuring system: in the particle collection equipment, the car body scene image
Overall brightness obtaining mode it is as follows: each brightness value of each pixel of the car body scene image is obtained, to described
Each brightness value of each pixel of car body scene image is averaged to obtain the overall brightness of the car body scene image.
In the seat temperature cloud computing measuring system: in the particle collection equipment, when irrelevance does not transfinite,
Confirm that the cycling among windows are non-particulate piecemeal.
In the seat temperature cloud computing measuring system: in the speed measuring equipment, being also used to measuring
When speed is less than the pre-set velocity threshold value, safe speed instruction is issued.
In the seat temperature cloud computing measuring system: in the temperature analysis equipment, being also used to described average
When temperature does not transfinite, temperature normal signal is issued.
In addition, in the seat temperature cloud computing measuring system, can type selecting GPU device realize that the differentiation processing is set
It is standby.
GPU is different from DSP (Digital Signal Processing, abbreviation DSP, digital signal in several main aspects
Processing) framework.Its all calculating uses floating-point arithmetic, and there are no positions or integer arithmetic to instruct this moment.Further, since
GPU aims at image procossing design, therefore storage system is actually a two-dimensional fragmented storage space, including a segment number
(therefrom reading image) and two-dimensional address (X, Y coordinates in image).In addition, without any indirect write command.Write address output
It is determined by raster processor, and cannot be by routine change.This is pole for the algorithm among memory for NATURAL DISTRIBUTION
Big challenge.Last point does not allow to communicate between the treatment process of different fragments.In fact, fragment processor is a SIMD
Data parallel execution unit independently executes code in all fragments.
In spite of above-mentioned constraint, but GPU still can efficiently perform a variety of operations, from linear algebra and signal processing
To numerical simulation.Although concept is simple, new user still can be puzzled when being calculated using GPU, because GPU needs are proprietary
Graphic knowledge.In this case, some software tools can provide help.Two kinds of high level shading languages CG and HLSL can allow
User writes the code of similar C, is later compiled into fragment process assembly languages.Brook is to aim at GPU to calculate design, and be not required to
Want the high-level language of graphic knowledge.Therefore for the staff that first time is developed using GPU, it can at last one
Good starting point.Brook is the extension of C language, incorporates the simple data multiple programming construction that can map directly to GPU.
The data for storing and operating through GPU are visually likened into " stream " (stream), similar to the array in standard C.Core
It (Kernel) is the function operated on stream.A core function is called to mean on a series of inlet flows real on stream element
Implicit circulation has been applied, i.e., core body has been called to each stream element.Brook additionally provides reduction mechanism, such as flows to one
In all element carry out and maximum value or product calculate.Brook also conceals all details of figure API, and handle completely
The similar two dimensional memory system unfamiliar parts of user many in this way have carried out virtualization process in GPU.It is write with Brook
Application program includes linear algebra subprogram, fast Fourier transform, ray tracing and image procossing.Utilize the X800XT of ATI
With the GeForce 6800Ultra type GPU of Nvidia, condition is executed in identical cache, SSE assembly code optimizing Pentium 4
Under, the speed of many such applications lifts up to as many as 7 times.
Using seat temperature cloud computing measuring system of the invention, fall behind for on-site parameters measurement pattern in the prior art
The technical issues of, based on the real-time temperature of cloud computing measurement roller-coaster seat, the validity of scene temperature measurement is improved, to mountain excessively
Each human body in vehicle carries out age detection and subsequent average value processing, to obtain human body age mean value, and is based on the human body year
Age mean value determines corresponding music style to carry out the broadcasting of corresponding music content, meets the sound of the most extensive crowd in scene as far as possible
Happy demand；Particle point also is carried out to image to be processed using the size cycling among windows directly proportional to the signal-to-noise ratio of the high-definition image
Analysis, to obtain particle low pass pattern therein and non-particulate low pass pattern, and to particle low pass pattern and non-particulate low pass pattern
Different differentiation processing is carried out, to obtain the clearer filtered image of filter effect, to solve above-mentioned technical problem.
It is understood that although the present invention has been disclosed in the preferred embodiments as above, above-described embodiment not to
Limit the present invention.For any person skilled in the art, without departing from the scope of the technical proposal of the invention,
Many possible changes and modifications all are 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 variation.Therefore, anything that does not depart from the technical scheme of the invention are right according to the technical essence of the invention
Any simple modifications, equivalents, and modifications made for any of the above embodiments still fall within the range of technical solution of the present invention protection
It is interior.
Claims (8)
1. a kind of seat temperature cloud computing measuring system, the system comprises:
Speed measuring equipment is arranged on the car body of roller-coaster, the current speed of service of the car body for measuring the roller-coaster,
And when the speed measured is more than pre-set velocity threshold value, hypervelocity control instruction is issued；
The vehicle of roller-coaster is arranged in temperature measurement equipment array, including multiple temperature measurement equipments, each temperature measurement equipment
On one seat of body, for measuring the real-time temperature of corresponding seat based on cloud computing；
Temperature analysis equipment is connect with the multiple temperature measurement equipment respectively, right for receiving the real-time temperature of multiple seats
The real-time temperature of the multiple seat averages processing, to obtain corresponding mean temperature, and it is super in the mean temperature
In limited time, it issues temperature and crosses high RST；
Car body controls motor, connect with the car body of the roller-coaster, controls for the car body to the roller-coaster；
The top of the car body of the roller-coaster is arranged in image capture device, for the vehicle body field towards the roller-coaster
Scape carries out image capture, to obtain corresponding car body scene image, and exports the car body scene image；
Image traversal equipment is connect with described image capture device, for receiving the car body scene image, using smooth window
Non-overlapping formula traversal is carried out to the car body scene image according to sequence from left to right, from top to bottom, it is corresponding each to obtain
A cycling among windows, and export each cycling among windows；
Particle collection equipment is connect, for receiving each cycling among windows, to described each time with described image traversal equipment
It goes through window and carries out following particle confirmation movement: obtaining the mean value of each brightness value of each pixel in each cycling among windows
The overall brightness of the window mean value and the car body scene image is carried out irrelevance analysis, when inclined as window mean value
When transfiniting from degree, confirm that the cycling among windows are particle piecemeal；
Image divides equipment, connect with the particle collection equipment, each for being exported based on the particle collection equipment
Grain piecemeal forms the particle pattern in the car body scene image, after the car body scene image is removed the particle pattern
Image is as non-particulate pattern；
Break up processing equipment, divides equipment with described image and connect, for receiving the particle pattern and the non-particulate pattern,
Use predeterminated frequency threshold value as cutoff frequency to the particle pattern execute low-pass filtering treatment to obtain particle low pass pattern,
It is also used to execute low-pass filtering treatment to the non-particulate pattern as cutoff frequency using the half of predeterminated frequency threshold value
To obtain non-particulate low pass pattern, the particle low pass pattern and the non-particulate low pass pattern are exported；
Data are fitted equipment, connect with the differentiation processing equipment, for receiving the particle low pass pattern and described non-particulate
Low pass pattern, and the particle low pass pattern and the non-particulate low pass pattern are fitted to obtain the car body scene figure
As corresponding fitting image；
Age detection equipment connect with data fitting equipment, for receiving the fitting image, obtains the fitting image
Each of pixel red color channel value, red color channel value is fallen in into human body red channel upper limit value and human body red channel
Pixel between lower limit value is determined as human region, obtains multiple human regions in the fitting image, determines respectively every
One human region corresponding age asks multiple human regions corresponding multiple ages in the fitting image
Mean value computation, to obtain corresponding mean value and be exported as human body age mean value；
Style switching equipment is connect with the age detection equipment, for receiving the human body age mean value, and is based on the people
Body age mean value determines corresponding music style, and exports the corresponding music style；
Music player devices are connect with the style switching equipment, for receiving the corresponding music style, and broadcasting and institute
State the corresponding corresponding music content of music style.
2. seat temperature cloud computing measuring system as described in claim 1, it is characterised in that:
In the differentiation processing equipment, low pass filtered is executed to the particle pattern as cutoff frequency using predeterminated frequency threshold value
Wave processing includes: that will obtain after the frequency content removal in the particle pattern more than cutoff frequency to obtain particle low pass pattern
Image as the particle low pass pattern and export the particle low pass pattern.
3. seat temperature cloud computing measuring system as claimed in claim 2, it is characterised in that:
In the differentiation processing equipment, using the half of predeterminated frequency threshold value as cutoff frequency to the non-particulate figure
It includes: by the frequency in the non-particulate pattern more than cutoff frequency that case, which executes low-pass filtering treatment to obtain non-particulate low pass pattern,
The image obtained after the removal of rate ingredient is as the non-low pass pattern of the particle and exports the non-low pass pattern of the particle.
4. seat temperature cloud computing measuring system as claimed in claim 3, it is characterised in that:
In described image traversal equipment, the cycling among windows are square window, the side length of the square window with it is described
The signal-to-noise ratio of car body scene image is directly proportional.
5. seat temperature cloud computing measuring system as claimed in claim 4, it is characterised in that:
In the particle collection equipment, the obtaining mode of the overall brightness of the car body scene image is as follows: obtaining the vehicle
Each brightness value of each pixel of body scene image, to each brightness value of each pixel of the car body scene image
It averages to obtain the overall brightness of the car body scene image.
6. seat temperature cloud computing measuring system as claimed in claim 5, it is characterised in that:
In the particle collection equipment, when irrelevance does not transfinite, confirm that the cycling among windows are non-particulate piecemeal.
7. seat temperature cloud computing measuring system as claimed in claim 6, it is characterised in that:
It in the speed measuring equipment, is also used to when the speed measured is less than the pre-set velocity threshold value, issues peace
Full speed command.
8. seat temperature cloud computing measuring system as claimed in claim 1, it is characterised in that:
It in the temperature analysis equipment, is also used to when the mean temperature does not transfinite, issues temperature normal signal.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101625793A (en) * | 2008-07-08 | 2010-01-13 | 殷特科技股份有限公司 | Driving monitoring system |
| CN104474714A (en) * | 2014-11-27 | 2015-04-01 | 无锡北斗星通信息科技有限公司 | Real-time detecting system for state of roller coaster passenger |
| CN106241584A (en) * | 2016-08-23 | 2016-12-21 | 西尼电梯(杭州)有限公司 | A kind of intelligent video monitoring system based on staircase safety and method |
| CN106897382A (en) * | 2017-01-22 | 2017-06-27 | 斑马信息科技有限公司 | The vehicle-mounted content service system of adaptability and devices and methods therefor |
| CN107073337A (en) * | 2014-09-24 | 2017-08-18 | 马克里德斯有限及两合公司 | For the equipment by passenger restraint in the retainer for travelling ride installation |
-
2018
- 2018-07-28 CN CN201810849113.7A patent/CN109238349A/en not_active Withdrawn
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101625793A (en) * | 2008-07-08 | 2010-01-13 | 殷特科技股份有限公司 | Driving monitoring system |
| CN107073337A (en) * | 2014-09-24 | 2017-08-18 | 马克里德斯有限及两合公司 | For the equipment by passenger restraint in the retainer for travelling ride installation |
| CN104474714A (en) * | 2014-11-27 | 2015-04-01 | 无锡北斗星通信息科技有限公司 | Real-time detecting system for state of roller coaster passenger |
| CN106241584A (en) * | 2016-08-23 | 2016-12-21 | 西尼电梯(杭州)有限公司 | A kind of intelligent video monitoring system based on staircase safety and method |
| CN106897382A (en) * | 2017-01-22 | 2017-06-27 | 斑马信息科技有限公司 | The vehicle-mounted content service system of adaptability and devices and methods therefor |
Non-Patent Citations (2)
| Title |
|---|
| 彭兴邦等: "一种基于亮度均衡的图像阈值分割技术", 《计算机技术与发展》 * |
| 李恺: "基于数字图像处理的颗粒分析系统", 《中国优秀硕士学位论文全文数据库》 * |
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