CN108833555A - Decibel numerical value cloud processing mechanism - Google Patents
Decibel numerical value cloud processing mechanism Download PDFInfo
- Publication number
- CN108833555A CN108833555A CN201810650281.3A CN201810650281A CN108833555A CN 108833555 A CN108833555 A CN 108833555A CN 201810650281 A CN201810650281 A CN 201810650281A CN 108833555 A CN108833555 A CN 108833555A
- Authority
- CN
- China
- Prior art keywords
- image
- track train
- numerical value
- decibel
- processing equipment
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000012545 processing Methods 0.000 title claims abstract description 103
- 230000007246 mechanism Effects 0.000 title claims abstract description 44
- NJPPVKZQTLUDBO-UHFFFAOYSA-N novaluron Chemical compound C1=C(Cl)C(OC(F)(F)C(OC(F)(F)F)F)=CC=C1NC(=O)NC(=O)C1=C(F)C=CC=C1F NJPPVKZQTLUDBO-UHFFFAOYSA-N 0.000 claims abstract description 8
- 230000003716 rejuvenation Effects 0.000 claims description 29
- 230000035939 shock Effects 0.000 claims description 14
- 238000012937 correction Methods 0.000 claims description 9
- 238000000354 decomposition reaction Methods 0.000 claims description 8
- 238000000638 solvent extraction Methods 0.000 claims description 6
- 230000008859 change Effects 0.000 claims description 3
- 230000003068 static effect Effects 0.000 claims description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000001914 filtration Methods 0.000 description 2
- 238000000034 method Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000003707 image sharpening Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63G—MERRY-GO-ROUNDS; SWINGS; ROCKING-HORSES; CHUTES; SWITCHBACKS; SIMILAR DEVICES FOR PUBLIC AMUSEMENT
- A63G21/00—Chutes; Helter-skelters
- A63G21/04—Chutes; Helter-skelters with fixed rails
-
- 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
- G05B19/05—Programmable logic controllers, e.g. simulating logic interconnections of signals according to ladder diagrams or function charts
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/73—Deblurring; Sharpening
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Theoretical Computer Science (AREA)
- Train Traffic Observation, Control, And Security (AREA)
- Image Processing (AREA)
Abstract
The present invention relates to a kind of decibel of numerical value cloud processing mechanisms, including：The field position where U-shaped slide plate main body is arranged in cloud processing equipment, receives to the clamour decibel numerical value of the field position where U-shaped slide plate main body, and when the clamour decibel numerical value transfinites, issuing decibel transfinites signal, otherwise, issues decibel normal signal；U-shaped slide plate main body, including U-shaped sliding rail, track train, sliding rail pedestal, power supply and PLC logical device, the top of the sliding rail pedestal is arranged in the U-shaped sliding rail, the track train is engaged with the U-shaped sliding rail, the PLC logical device is that the track train sliding on the U-shaped sliding rail provides control logic, the power supply is connect with the track train and the PLC logical device respectively, provides power supply for the respectively described track train and the PLC logical device.Through the invention, the precision of on-site data gathering is improved.
Description
Technical field
The present invention relates to cloud process field more particularly to a kind of decibel of numerical value cloud processing mechanisms.
Background technique
Cloud processing can be done in real time data and calculate and analyze work under the support of high efficiency parallel distributed software,
Such as data calculating, data query and statistical analysis.Data calculating is not in data stacking phenomenon, each alanysis and inquiry
Work is all completed in second grade substantially, has unprecedented high efficiency.
Based on accumulating to the deep research of cloud computing reliability, thoroughly solve what current Distributed Computing Platform easily occurred
Single Point of Faliure problem.Any one node breaks down, and automatic shield is not in the phenomenon that losing data by system.
In non-stop-machine situation, increase node, the processing capacity of platform increases automatically；Reduce node, the processing of platform
Ability is reduced automatically.In this way, can accomplish the seamless interfacing with resource pool, dynamically applies or release with store tasks according to calculating
Resource is put, improves resource utilization to the maximum extent.
Summary of the invention
In order to solve the technical issues of recreation ground lacks high-accuracy data acquisition mechanism, the present invention provides a kind of decibels
Numerical value cloud processing mechanism formulates different impact plans according to different age group to the preference of the number of shocks of amusement equipment
Slightly, to meet customization requirement of all age group to amusement equipment；Using customization wavelet decomposition mode and customization it is small
Wave Framework Model executes the customized treatment of image content-based to the image received, avoids machine-made small echo processing mould
Formula, so that reaching balanced between small echo computational complexity and wavelet filtering effect；Also using to showing where U-shaped slide plate main body
The clamour decibel numerical value of position is received, and when the clamour decibel numerical value transfinites, and issuing decibel transfinites signal.
According to an aspect of the present invention, a kind of decibel of numerical value cloud processing mechanism is provided, the mechanism includes：
The field position where U-shaped slide plate main body is arranged in cloud processing equipment, to the live position where U-shaped slide plate main body
The clamour decibel numerical value set is received, and when the clamour decibel numerical value transfinites, and issuing decibel transfinites signal, no
Then, decibel normal signal is issued.
More specifically, further including in the decibel numerical value cloud processing mechanism：
U-shaped slide plate main body, including U-shaped sliding rail, track train, sliding rail pedestal, power supply and PLC logical device, the U
The top of the sliding rail pedestal is arranged in type sliding rail, and the track train is engaged with the U-shaped sliding rail, the PLC logical device
There is provided control logic for the track train sliding on the U-shaped sliding rail, the power supply respectively with the track column
Vehicle is connected with the PLC logical device, provides power supply for the respectively described track train and the PLC logical device.
More specifically, further including in the decibel numerical value cloud processing mechanism：
The surface of track train is arranged in train picture pick-up device, connect with the PLC logical device, for passing through
When the PLC logical device acquisition track train remains static, the track train is shot, to obtain simultaneously
Export corresponding track train image.
More specifically, further including in the decibel numerical value cloud processing mechanism：
First image processing equipment is connect with the train picture pick-up device, for receiving the track train image, is obtained
Each brightness value of each pixel in the track train image, based on each pixel in the track train image
Each brightness value determine the sharpening level of the track train image；Second image processing equipment, for receiving the track
Train image, obtains the current resolution of the track train image, and exports the current resolution；Third image procossing is set
It is standby, it is connect with the first image processing equipment, for receiving the sharpening level of the track train image, and is based on the rail
The sharpening level of road train image determines the diminution ratio of corresponding partitioning parameters, wherein the sharpening of the track train image
Higher grade, and the diminution ratio of the corresponding partitioning parameters determined is smaller；4th image processing equipment, at the first image
Equipment connection is managed, the wavelet decomposition for executing S layers to the track train image acts, to obtain S layers of each low-frequency parameter
With each high-frequency parameter from the 1st layer to S layers, wherein S is the positive integer more than or equal to 1；5th image processing equipment, point
It does not connect, is used for parameter preset threshold value according to described with the 4th image processing equipment and the third image processing equipment
Diminution ratio is reduced to obtain threshold value after corresponding diminution, to each high-frequency parameter from the 1st layer to S layers execute with
Lower correction operation：By each high-frequency parameter compared with threshold value carries out numerical value after diminution, threshold value after being more than or equal to the diminution
When, the numerical value of the high-frequency parameter is not corrected, after being less than the diminution when threshold value, by the numerical value of the high-frequency parameter
It is corrected as zero；5th image processing equipment exports S layers of each low-frequency parameter and each from the 1st layer to S layers entangles
High-frequency parameter after just；6th image processing equipment is connect with the 5th image processing equipment, for receiving S layers each
A low-frequency parameter and from the 1st layer to S layers of each correction after high-frequency parameter, and based on S layers of each low-frequency parameter and
Image after the corresponding framework of track train image described in high-frequency parameter framework after from the 1st layer to S layers of each correction；The bodily form
Collection apparatus equipment is connect with the 6th image processing equipment, for receiving image after the framework, identifies the framework
Afterwards in image each human body bodily form feature, corresponding rejuvenation grade, base are determined based on the bodily form feature of each human body
After the framework in image the bodily form feature of each human body determine after the framework the corresponding rejuvenation grade of image using as
Crowd's rejuvenation grade, and export crowd's rejuvenation grade；Wherein, the PLC logical device also with the bodily form feature
Equipment connection is acquired, determines amusement equipment for receiving crowd's rejuvenation grade, and based on crowd's rejuvenation grade
Number of shocks；Wherein, it in the PLC logical device, when crowd's rejuvenation grade is more than not adult grade, is based on
Crowd's rejuvenation grade determines that the number of shocks of amusement equipment includes：Crowd's rejuvenation lower grade, and what is determined rushes
It is more to hit number.
More specifically, in the decibel numerical value cloud processing mechanism：The first image processing equipment is based on the track
Each brightness value of each pixel in train image determines that the sharpening level of the track train image includes：Based on described
Each brightness value of each pixel in track train image determines the sharpening degree of the track train image.
More specifically, in the decibel numerical value cloud processing mechanism：The first image processing equipment is based on the track
Each brightness value of each pixel in train image determines that the sharpening level of the track train image further includes：According to institute
State the sharpening level that the value region that the sharpening degree of track train image is fallen in determines the track train image.
More specifically, in the decibel numerical value cloud processing mechanism：4th image processing equipment is also with described second
Image processing equipment connection, for receiving the current resolution, the 4th image processing equipment is to the track train figure
As the wavelet decomposition movement for executing S layers includes：The current resolution is higher, and the S numerical value of use is smaller.
More specifically, in the decibel numerical value cloud processing mechanism：The bodily form collection apparatus equipment and the PLC logic
Device is integrated in same printed circuit board.
More specifically, in the decibel numerical value cloud processing mechanism：In the PLC logical device, in the crowd year
When lightization grade is less than not adult grade, the number of shocks for determining amusement equipment based on crowd's rejuvenation grade includes：
Determining number of shocks keeps constant value.
Detailed description of the invention
Embodiment of the present invention is described below with reference to attached drawing, wherein：
Fig. 1 is entering the station for the recreation ground according to applied by the decibel numerical value cloud processing mechanism shown in embodiment of the present invention
The shape assumption diagram of mouth.
Specific embodiment
The embodiment of decibel numerical value cloud processing mechanism of the invention is described in detail below with reference to accompanying drawings.
Cloud processing is that the efficient distributed cloud processing of the parallel programming model and Computational frame of a kind of processing mass data is flat
Platform.CProc realizes data processing, each node by the way that the operate in large scale to data set is distributed to each node on network
Updating record of the meeting periodically the work of completion and state is returned.With increasing for node, the processing capacity of cProc will be at
Multiple increases.CProc supports the data flow real time indexing of 100GBps or more magnitude, and customer in response request in 1s, second grade completes number
According to processing, inquiry and analysis work.
In order to overcome above-mentioned deficiency, the present invention has built a kind of decibel of numerical value cloud processing mechanism, can effectively solve the problem that corresponding
The technical issues of.
Fig. 1 is entering the station for the recreation ground according to applied by the decibel numerical value cloud processing mechanism shown in embodiment of the present invention
The shape assumption diagram of mouth.
The decibel numerical value cloud processing mechanism shown according to an embodiment of the present invention includes：
The field position where U-shaped slide plate main body is arranged in cloud processing equipment, to the live position where U-shaped slide plate main body
The clamour decibel numerical value set is received, and when the clamour decibel numerical value transfinites, and issuing decibel transfinites signal, no
Then, decibel normal signal is issued.
Then, continue that the specific structure of decibel numerical value cloud processing mechanism of the invention is further detailed.
In the decibel numerical value cloud processing mechanism, further include：
U-shaped slide plate main body, including U-shaped sliding rail, track train, sliding rail pedestal, power supply and PLC logical device, the U
The top of the sliding rail pedestal is arranged in type sliding rail, and the track train is engaged with the U-shaped sliding rail, the PLC logical device
There is provided control logic for the track train sliding on the U-shaped sliding rail, the power supply respectively with the track column
Vehicle is connected with the PLC logical device, provides power supply for the respectively described track train and the PLC logical device.
In the decibel numerical value cloud processing mechanism, further include：
The surface of track train is arranged in train picture pick-up device, connect with the PLC logical device, for passing through
When the PLC logical device acquisition track train remains static, the track train is shot, to obtain simultaneously
Export corresponding track train image.
In the decibel numerical value cloud processing mechanism, further include：
First image processing equipment is connect with the train picture pick-up device, for receiving the track train image, is obtained
Each brightness value of each pixel in the track train image, based on each pixel in the track train image
Each brightness value determine the sharpening level of the track train image；
Second image processing equipment obtains the current of the track train image for receiving the track train image
Resolution ratio, and export the current resolution；
Third image processing equipment is connect with the first image processing equipment, for receiving the track train image
Sharpening level, and determine based on the sharpening level of the track train image diminution ratio of corresponding partitioning parameters, wherein
The sharpening level of the track train image is higher, and the diminution ratio of the corresponding partitioning parameters determined is smaller；
4th image processing equipment is connect with the first image processing equipment, executes S layers to the track train image
Wavelet decomposition movement, with obtain S layers each low-frequency parameter and each high-frequency parameter from the 1st layer to S layers, wherein S
For the positive integer more than or equal to 1；
5th image processing equipment connects with the 4th image processing equipment and the third image processing equipment respectively
It connects, for reducing parameter preset threshold value according to the diminution ratio to obtain threshold value after corresponding diminution, to from the 1st layer
Following correct is executed to S layers each high-frequency parameter to operate：By each high-frequency parameter and after reducing, threshold value carries out numerical value
Compare, after being more than or equal to the diminution when threshold value, the numerical value of the high-frequency parameter is not corrected, when less than the diminution
Afterwards when threshold value, the numerical value of the high-frequency parameter is corrected as zero；5th image processing equipment exports S layers of each low frequency
Parameter and from the 1st layer to S layers of each correction after high-frequency parameter；
6th image processing equipment is connect with the 5th image processing equipment, and each low frequency for receiving S layers is joined
Number and from the 1st layer to S layers of each correction after high-frequency parameter, and based on S layers of each low-frequency parameter and from the 1st layer to
Image after the corresponding framework of track train image described in high-frequency parameter framework after S layers of each correction；
Bodily form collection apparatus equipment is connect with the 6th image processing equipment, for receiving image after the framework, is known
Not Chu after the framework in image each human body bodily form feature, corresponding year is determined based on the bodily form feature of each human body
Lightization grade determines the corresponding rejuvenation of image after the framework based on the bodily form feature of each human body in image after the framework
Grade exports crowd's rejuvenation grade using as crowd's rejuvenation grade；
Wherein, the PLC logical device is also connect with the bodily form collection apparatus equipment, young for receiving the crowd
Change grade, and determines the number of shocks of amusement equipment based on crowd's rejuvenation grade；
Wherein, in the PLC logical device, when crowd's rejuvenation grade is more than not adult grade, it is based on institute
It states crowd's rejuvenation grade and determines that the number of shocks of amusement equipment includes：, the determining impact of crowd's rejuvenation lower grade
Number is more.
In the decibel numerical value cloud processing mechanism：The first image processing equipment is based in the track train image
Each brightness value of each pixel determine that the sharpening level of the track train image includes：Based on the track train figure
Each brightness value of each pixel as in determines the sharpening degree of the track train image.
In the decibel numerical value cloud processing mechanism：The first image processing equipment is based in the track train image
Each brightness value of each pixel determine that the sharpening level of the track train image further includes：According to the track train
The value region that the sharpening degree of image is fallen in determines the sharpening level of the track train image.
In the decibel numerical value cloud processing mechanism：4th image processing equipment is also set with second image procossing
Standby connection, for receiving the current resolution, the 4th image processing equipment executes S layers to the track train image
Wavelet decomposition acts：The current resolution is higher, and the S numerical value of use is smaller.
In the decibel numerical value cloud processing mechanism：The bodily form collection apparatus equipment and the PLC logical device are collected
At in same printed circuit board.
In the decibel numerical value cloud processing mechanism：In the PLC logical device, crowd's rejuvenation grade not
When more than not adult grade, the number of shocks for determining amusement equipment based on crowd's rejuvenation grade includes：Determining impact
Number keeps constant value.
In addition, Common Language Runtime i.e. GAL device, which can be used, replaces the PLC logical device.Wherein, general array
Logical device GAL (Generic Array Logic www.husoon.com) device is that LATTICE company in 1985 is sent out at first
It is bright it is erasable remove, may be programmed, the PLD of settable encrypted bits.Representative GAL chip has GAL16V8, GAL20, this two
Kind GAL can almost emulate all types of PAL devices.In practical application, GAL device is to PAL device simulation with 100%
Compatibility so GAL can almost replace PAL device entirely, and may replace most of SSI, MSI digital integrated electronic circuit, thus obtain
It must be widely applied.
The maximum differential of GAL and PAL is that the export structure of GAL can be defined by the user, and is a kind of programmable output knot
Structure.Two kinds of base type GAL16V8 (20 pin) GAL20V8 (24 pin) of GAL can replace ten kinds of PAL devices of tree, thus claim
To use programmable circuit bitterly.And the output of PAL is defined by producer, is just secured after chip is selected, user can not change.
Using decibel numerical value cloud processing mechanism of the invention, it is difficult to ensure for field data detection accuracy in the prior art
The technical issues of, according to different age group to the preference of the number of shocks of amusement equipment, different impact strategies is formulated, from
And meet customization requirement of all age group to amusement equipment；Using the wavelet decomposition mode of customization and the small echo framework of customization
Mode executes the customized treatment of image content-based to the image received, avoids machine-made small echo tupe, makes
It obtains and reaches balanced between small echo computational complexity and wavelet filtering effect；Also using to the live position where U-shaped slide plate main body
The clamour decibel numerical value set is received, and when the clamour decibel numerical value transfinites, and issuing decibel transfinites signal, thus
Solves 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 (9)
1. a kind of decibel of numerical value cloud processing mechanism, the mechanism include：
The field position where U-shaped slide plate main body is arranged in cloud processing equipment, to the field position where U-shaped slide plate main body
Clamour decibel numerical value is received, and when the clamour decibel numerical value transfinites, and issuing decibel transfinites signal, otherwise, hair
Decibel normal signal out.
2. as described in claim 1 decibel of numerical value cloud processing mechanism, which is characterized in that the mechanism further includes：
U-shaped slide plate main body, including U-shaped sliding rail, track train, sliding rail pedestal, power supply and PLC logical device, the U-shaped cunning
The top of the sliding rail pedestal is arranged in rail, and the track train is engaged with the U-shaped sliding rail, and the PLC logical device is institute
State track train and slide offer control logic on the U-shaped sliding rail, the power supply respectively with the track train and
The PLC logical device connection, provides power supply for the respectively described track train and the PLC logical device.
3. as claimed in claim 2 decibel of numerical value cloud processing mechanism, which is characterized in that the mechanism further includes：
The surface of track train is arranged in train picture pick-up device, connect with the PLC logical device, for by described
When the PLC logical device acquisition track train remains static, the track train is shot, to obtain and export
Corresponding track train image.
4. as claimed in claim 3 decibel of numerical value cloud processing mechanism, which is characterized in that the mechanism further includes：
First image processing equipment is connect with the train picture pick-up device, for receiving the track train image, described in acquisition
Each brightness value of each pixel in track train image, based on each of each pixel in the track train image
A brightness value determines the sharpening level of the track train image；
Second image processing equipment obtains the current resolution of the track train image for receiving the track train image
Rate, and export the current resolution；
Third image processing equipment is connect with the first image processing equipment, for receiving the sharp of the track train image
Change grade, and determine the diminution ratio of corresponding partitioning parameters based on the sharpening level of the track train image, wherein is described
The sharpening level of track train image is higher, and the diminution ratio of the corresponding partitioning parameters determined is smaller；
4th image processing equipment is connect with the first image processing equipment, executes S layers small to the track train image
Wave Decomposition movement, each low-frequency parameter to obtain S layers and each high-frequency parameter from the 1st layer to S layers, wherein S is big
In the positive integer for being equal to 1；
5th image processing equipment is connect with the 4th image processing equipment and the third image processing equipment respectively, is used
In reducing parameter preset threshold value according to the diminution ratio to obtain threshold value after corresponding diminution, to from the 1st layer to S
Each high-frequency parameter of layer executes following correct and operates：By each high-frequency parameter compared with threshold value carries out numerical value after diminution,
After being more than or equal to the diminution when threshold value, the numerical value of the high-frequency parameter is not corrected, threshold after being less than the diminution
When value, the numerical value of the high-frequency parameter is corrected as zero；5th image processing equipment exports S layers of each low-frequency parameter
With from the 1st layer to S layers of each correction after high-frequency parameter；
6th image processing equipment is connect with the 5th image processing equipment, for receive S layers each low-frequency parameter and
High-frequency parameter after from the 1st layer to S layers of each correction, and based on S layers of each low-frequency parameter and from the 1st layer to S
Image after the corresponding framework of track train image described in high-frequency parameter framework after each correction of layer；
Bodily form collection apparatus equipment is connect with the 6th image processing equipment, for receiving image after the framework, is identified
After the framework in image each human body bodily form feature, corresponding rejuvenation is determined based on the bodily form feature of each human body
Grade determines the corresponding rejuvenation grade of image after the framework based on the bodily form feature of each human body in image after the framework
Using as crowd's rejuvenation grade, and export crowd's rejuvenation grade；
Wherein, the PLC logical device is also connect with the bodily form collection apparatus equipment, for receiving described crowd's rejuvenation etc.
Grade, and determine based on crowd's rejuvenation grade the number of shocks of amusement equipment；
Wherein, in the PLC logical device, when crowd's rejuvenation grade is more than not adult grade, it is based on the people
Group's rejuvenation grade determines that the number of shocks of amusement equipment includes：, the determining number of shocks of crowd's rejuvenation lower grade
It is more.
5. as claimed in claim 4 decibel of numerical value cloud processing mechanism, it is characterised in that：
The first image processing equipment determines institute based on each brightness value of each pixel in the track train image
The sharpening level for stating track train image includes：Each brightness value based on each pixel in the track train image is true
The sharpening degree of the fixed track train image.
6. as claimed in claim 5 decibel of numerical value cloud processing mechanism, it is characterised in that：
The first image processing equipment determines institute based on each brightness value of each pixel in the track train image
The sharpening level for stating track train image further includes：It is determined according to the value region that the sharpening degree of the track train image is fallen in
The sharpening level of the track train image.
7. as claimed in claim 6 decibel of numerical value cloud processing mechanism, it is characterised in that：
4th image processing equipment is also connect with second image processing equipment, for receiving the current resolution,
The wavelet decomposition that 4th image processing equipment executes S layers to the track train image, which acts, includes：The current resolution
Rate is higher, and the S numerical value of use is smaller.
8. as claimed in claim 7 decibel of numerical value cloud processing mechanism, it is characterised in that：
The bodily form collection apparatus equipment and the PLC logical device are integrated in same printed circuit board.
9. as claimed in claim 8 decibel of numerical value cloud processing mechanism, it is characterised in that：
In the PLC logical device, when crowd's rejuvenation grade is less than not adult grade, based on the crowd year
Lightization grade determines that the number of shocks of amusement equipment includes：Determining number of shocks keeps constant value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810650281.3A CN108833555B (en) | 2018-06-22 | 2018-06-22 | Decibel numerical value cloud processing mechanism |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810650281.3A CN108833555B (en) | 2018-06-22 | 2018-06-22 | Decibel numerical value cloud processing mechanism |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108833555A true CN108833555A (en) | 2018-11-16 |
| CN108833555B CN108833555B (en) | 2019-04-02 |
Family
ID=64137454
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810650281.3A Active CN108833555B (en) | 2018-06-22 | 2018-06-22 | Decibel numerical value cloud processing mechanism |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108833555B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108939558A (en) * | 2018-06-27 | 2018-12-07 | 邓继红 | Parameter extracting method based on cloud identification |
| CN109730870A (en) * | 2019-01-08 | 2019-05-10 | 乔保华 | Medical instrument signal resolution platform |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103234626A (en) * | 2013-04-17 | 2013-08-07 | 西交利物浦大学 | Noise timing, detecting and monitoring system |
| CN203241147U (en) * | 2013-04-17 | 2013-10-16 | 西交利物浦大学 | Noise timing detection monitoring system |
| CN103632474A (en) * | 2013-11-22 | 2014-03-12 | 南京新索奇科技有限公司 | Sound pressure sensor and alarm method thereof |
| CN203552382U (en) * | 2013-11-22 | 2014-04-16 | 南京新索奇科技有限公司 | Sound pressure sensor applied to alarm |
| WO2016018788A1 (en) * | 2014-07-29 | 2016-02-04 | Ebay Inc. | Providing notifications based on user activity data |
-
2018
- 2018-06-22 CN CN201810650281.3A patent/CN108833555B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103234626A (en) * | 2013-04-17 | 2013-08-07 | 西交利物浦大学 | Noise timing, detecting and monitoring system |
| CN203241147U (en) * | 2013-04-17 | 2013-10-16 | 西交利物浦大学 | Noise timing detection monitoring system |
| CN103632474A (en) * | 2013-11-22 | 2014-03-12 | 南京新索奇科技有限公司 | Sound pressure sensor and alarm method thereof |
| CN203552382U (en) * | 2013-11-22 | 2014-04-16 | 南京新索奇科技有限公司 | Sound pressure sensor applied to alarm |
| WO2016018788A1 (en) * | 2014-07-29 | 2016-02-04 | Ebay Inc. | Providing notifications based on user activity data |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108939558A (en) * | 2018-06-27 | 2018-12-07 | 邓继红 | Parameter extracting method based on cloud identification |
| CN109730870A (en) * | 2019-01-08 | 2019-05-10 | 乔保华 | Medical instrument signal resolution platform |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108833555B (en) | 2019-04-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108833555B (en) | Decibel numerical value cloud processing mechanism | |
| CN109522967A (en) | A kind of commodity attribute recognition methods, device, equipment and storage medium | |
| CN207585743U (en) | A kind of electronic scale with goods sorting classification feature | |
| CN105550678A (en) | Human body motion feature extraction method based on global remarkable edge area | |
| CN102445214B (en) | Step counting method based on 3D (three-dimensional) gravity sensor of intelligent mobile phone | |
| CN103034922A (en) | Refinement and calibration method and system for improving classification of information assets | |
| CN109061776A (en) | One kind closing on numerical weather forecast system and method in short-term | |
| CN109933834A (en) | A kind of model creation method and device of time series data prediction | |
| CN107038064A (en) | Virtual machine management method and device, storage medium | |
| DE112018002572T5 (en) | METHODS, SYSTEMS AND DEVICES FOR OPTIMIZING THE PIPELINE DESIGN | |
| CN108151679A (en) | A kind of method and system of Land area measure | |
| CN110321956A (en) | A kind of herbage pest management method and device based on artificial intelligence | |
| CN108939553A (en) | The method of adjustment and device of the attribute data of game role | |
| CN107766201A (en) | A kind of software processing method and device, electronic equipment | |
| CN105160003B (en) | A kind of APP retrieval ordering method and system based on geographical location | |
| CN110409955A (en) | Window control method, device and electronic equipment based on decision tree prediction model | |
| CN109583318A (en) | Medicinal plant recognition methods, device and computer equipment | |
| CN110414608A (en) | It is a kind of be directed to ResNet by channel pruning algorithms | |
| CN108984790A (en) | A kind of data branch mailbox method and device | |
| CN107292002A (en) | A kind of method and device of digital cores reconstruct | |
| CN111126456B (en) | Neural network model processing method, device, equipment and storage medium | |
| CN110717318B (en) | Intention-driven competition and cooperation intention adaptive content filling method | |
| CN108279021A (en) | Step-recording method, electronic device and computer readable storage medium | |
| CN106384014A (en) | Artificial intelligent data processing system and method based on motion sensor and GPS positioning | |
| CN110222742A (en) | Based on point cloud segmentation method, apparatus, storage medium and the equipment for being layered more echoes |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB03 | Change of inventor or designer information |
Inventor after: Cai Ken Inventor after: Chen Hongguo Inventor before: Chen Hongguo |
|
| CB03 | Change of inventor or designer information | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20190311 Address after: 510225 Tung Sha Street, Haizhuqu District Textile Road, Guangzhou, Guangdong 24 Applicant after: ZHONGKAI University OF AGRICULTURE AND ENGINEERING Address before: Room 808, 8th floor, Beidou Building, No. 6 Huida Road, Jiangbei New District, Nanjing City, Jiangsu Province, 210000 Applicant before: Chen Hongguo |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |