CN110262301A - Big data analysis control platform - Google Patents
Big data analysis control platform Download PDFInfo
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- CN110262301A CN110262301A CN201910263212.1A CN201910263212A CN110262301A CN 110262301 A CN110262301 A CN 110262301A CN 201910263212 A CN201910263212 A CN 201910263212A CN 110262301 A CN110262301 A CN 110262301A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K1/00—Details of thermometers not specially adapted for particular types of thermometer
- G01K1/02—Means for indicating or recording specially adapted for thermometers
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K1/00—Details of thermometers not specially adapted for particular types of thermometer
- G01K1/02—Means for indicating or recording specially adapted for thermometers
- G01K1/04—Scales
- G01K1/06—Arrangements for facilitating reading, e.g. illumination, magnifying glass
-
- 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
-
- 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
- G05B2219/25—Pc structure of the system
- G05B2219/25033—Pc structure of the system structure, control, syncronization, data, alarm, connect I-O line to interface
-
- 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
- G05B2219/25—Pc structure of the system
- G05B2219/25257—Microcontroller
-
- 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
- G05B2219/2637—Vehicle, car, auto, wheelchair
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Radiation Pyrometers (AREA)
Abstract
The present invention relates to a kind of big data analysis control platform, the platform includes: Vehicular rechargeable socket, including power input unit and electric power output unit, power input unit are connect with cigarette lighter socket, and electric power output unit is connect with charging equipment；Interior imaging device, is arranged in the driver's cabin of vehicle, for carrying out imaging to instrument board, to obtain instrument board image；The side of the engine of vehicle is arranged in temperature measurement equipment, and the water temperature of engine used for vehicles measures, to export live water temperature data.Big data analysis control platform design of the invention is simple, easy to control.In temperature measurement device fails, the water temperature reading based on customization image recognition is introduced to be made whether to execute the judgement control of power cut, otherwise, it is made whether that the judgement for executing power cut controls using the water temperature reading of temperature measurement equipment, to ensure the starting and operation of vehicle.
Description
Technical field
The present invention relates to data analysis field more particularly to a kind of big data analysis control platforms.
Background technique
In field of statistics, data analysis is divided into descriptive statistical analysis, exploratory data analysis and confirmatory
Data analysis；Wherein, exploratory data analysis, which is laid particular emphasis among data, finds new feature, and confirmatory data analyze then side
Overweight the confirmation or falsfication for having hypothesis.
Exploratory data analysis refers to be formed and be worth the inspection of hypothesis to a kind of method that data are analyzed, and is
To the supplement of traditional statistics hypothesis testing means.This method is by famous American statistician John Tu Ji (John Tukey)
Name.
Qualitative data analysis is also known as " Qualitative Data analysis ", " qualitative research " or " qualitative studies analysis ", is
Refer to the analysis of the nonumeric type data (data in other words) to such as word, photo, observation result etc.
Summary of the invention
The present invention at least needs to have inventive point important at following two:
(1) when water temperature is too low in the car, executing can band to the charging operations of the Vehicular rechargeable socket of interior cigar lighter position
Carry out electric power overload operation, vehicle launch and the unsmooth problem of operation, for this purpose, introduce power cut equipment, respectively with it is described
Fault test set, the temperature measurement equipment, the scale analytical equipment are connected with the electric power output unit, in water
When temperature measurement device fails, introduces the water temperature reading based on customization image recognition and be made whether to execute the judgement of power cut
Control, and when temperature measurement equipment does not break down, be made whether to execute electricity using the water temperature reading of temperature measurement equipment
The judgement control of power cutting；
(2) the different shapes for determining to execute each color sub-images of image Different Strategies based on image similarity grade
State treatment mechanism, to improve the Morphological scale-space effect of image.
According to an aspect of the present invention, a kind of big data analysis control platform is provided, the platform includes:
Vehicular rechargeable socket, including power input unit and electric power output unit, power input unit and cigarette lighter socket
Connection, electric power output unit are connect with charging equipment；
Interior imaging device, is arranged in the driver's cabin of vehicle, for instrument board carry out imaging, with obtain and it is defeated
Instrument board image out；
Temperature measurement equipment, is arranged in the side of the engine of vehicle, and the water temperature of engine used for vehicles is surveyed
Amount, to export live water temperature data；
The side of the temperature measurement equipment is arranged in fault test set, for carrying out to the temperature measurement equipment
Fault detection, and when detecting the temperature measurement device fails, first triggering command is issued, otherwise, issues second
Triggering command；
Similarity analysis equipment connect with the interior imaging device, for receiving the instrument board image, obtains
It is similar to carry out shape to each shape of each object for each shape of each object in the instrument board image
Degree analysis, to obtain corresponding similarity grade；
Data analyzing device is connect with the similarity analysis equipment, pre- for being lower than in the similarity grade received
If reception of the starting to the instrument board image from similarity analysis equipment when grade threshold, is based on similarity level adjustment
To the Morphological scale-space intensity of C color sub-images under the space instrument board image CMYK, it is based on similarity level adjustment
To the Morphological scale-space intensity of M color sub-images under the space instrument board image CMYK, it is based on similarity level adjustment
To the Morphological scale-space intensity of Y color sub-images under the space instrument board image CMYK, it is based on similarity level adjustment
To the Morphological scale-space intensity of K color sub-images under the space instrument board image CMYK；
Parallel processing device is connect with the data analyzing device, for the space instrument board image CMYK
Under C color sub-images, M color sub-images, Y color sub-images and K color sub-images to execute respective Morphological scale-space parallel strong
The Morphological scale-space of degree to obtain subgraph after corresponding three processing, and subgraph after described three processing is overlapped,
To obtain instant superimposed image；
Edge sharpening equipment executes edge sharpening to the instant superimposed image for receiving the instant superimposed image
Processing, to obtain and export edge sharpening image；
Combined filter equipment is connect with the edge sharpening equipment, for executing first recurrence to the edge sharpening image
The combined filter processing of gaussian filtering after filtering, to obtain and export corresponding combined filter image；
In scale analytical equipment, with the combined filter equipment, institute is extracted for the imaging features based on water temperature dial plate
The profile for stating the water temperature dial plate in combined filter image, the imaging features based on water temperature dial plate indicator extract the combination filter
The profile of water temperature dial plate indicator in wave image, the profile also based on the water temperature dial plate indicator is in the water temperature dial plate
Relative position in profile is parsed to be read with reference to water temperature；
Power cut equipment, respectively with the fault test set, the temperature measurement equipment, the scale analytical equipment
It is connected with the electric power output unit, for being read really with reference to water temperature based on described when receiving the first triggering command
It is fixed whether power cut movement to be executed to the electric power output unit；
Wherein, the power cut equipment is also used to when receiving second triggering command, based on the live water
Warm data determine whether to execute the electric power output unit power cut movement；
Wherein, determine whether to execute the electric power output unit power cut movement packet with reference to water temperature reading based on described
It includes: when the reference water temperature reading is lower than preset temperature threshold, cutting off the power supply to the electric power output unit；
Wherein, determine whether to execute the electric power output unit power cut movement packet with reference to water temperature reading based on described
It includes: when the reference water temperature reading is optionally greater than the preset temperature threshold, restoring the electric power to the electric power output unit
Supply；
Wherein, determine whether to execute the electric power output unit power cut movement packet based on the live water temperature data
It includes: when the live water temperature data is lower than preset temperature threshold, cutting off the power supply to the electric power output unit；
Wherein, determine whether to execute the electric power output unit power cut movement packet based on the live water temperature data
It includes: when the live water temperature data is optionally greater than the preset temperature threshold, restoring the electric power to the electric power output unit
Supply.
Big data analysis control platform design of the invention is simple, easy to control.In temperature measurement device fails,
It introduces the water temperature reading based on customization image recognition to be made whether to execute the judgement control of power cut, otherwise, be surveyed using water temperature
The water temperature reading of amount equipment is made whether to execute the judgement control of power cut, to ensure the starting and operation of vehicle.
Specific embodiment
The embodiment of big data analysis control platform of the invention will be described in detail below.
Onboard charger refers to the onboard charger powered conventionally by automobile storage battery (car 12V, truck 24V), largely
Using in various portable, handheld device lithium batteries charging fields.
Handheld device is such as: mobile phone, PDA, GPS etc..Onboard charger should consider the actual demand of lithium battery charging
(constant pressure CV, constant current CC, overvoltage protection OVP), takes into account adverse circumstances (transient peak voltage, the system switching of vehicular power-bottle again
Noise jamming, EMI etc.)；Therefore the power management IC that vehicle fills scheme selection must simultaneously meet: high pressure resistant, high efficiency, highly reliable
Property, the switching power source chip of low frequency (design for being conducive to EMI).
In the prior art, when water temperature is too low in the car, the charging to the Vehicular rechargeable socket of interior cigar lighter position is executed
Operation can bring electricity overload to operate, and vehicle launch and the unsmooth problem of operation currently lack and send out in temperature measurement equipment
The judgement controlling mechanism of Vehicular rechargeable outlet power cutting when raw failure leads to not the normal starting and fortune of support vehicles
Row.
In order to overcome above-mentioned deficiency, the present invention has built a kind of big data analysis control platform, can effectively solve the problem that corresponding
The technical issues of.
The big data analysis control platform shown according to an embodiment of the present invention includes:
Vehicular rechargeable socket, including power input unit and electric power output unit, power input unit and cigarette lighter socket
Connection, electric power output unit are connect with charging equipment；
Interior imaging device, is arranged in the driver's cabin of vehicle, for instrument board carry out imaging, with obtain and it is defeated
Instrument board image out；
Temperature measurement equipment, is arranged in the side of the engine of vehicle, and the water temperature of engine used for vehicles is surveyed
Amount, to export live water temperature data；
The side of the temperature measurement equipment is arranged in fault test set, for carrying out to the temperature measurement equipment
Fault detection, and when detecting the temperature measurement device fails, first triggering command is issued, otherwise, issues second
Triggering command；
Similarity analysis equipment connect with the interior imaging device, for receiving the instrument board image, obtains
It is similar to carry out shape to each shape of each object for each shape of each object in the instrument board image
Degree analysis, to obtain corresponding similarity grade；
Data analyzing device is connect with the similarity analysis equipment, pre- for being lower than in the similarity grade received
If reception of the starting to the instrument board image from similarity analysis equipment when grade threshold, is based on similarity level adjustment
To the Morphological scale-space intensity of C color sub-images under the space instrument board image CMYK, it is based on similarity level adjustment
To the Morphological scale-space intensity of M color sub-images under the space instrument board image CMYK, it is based on similarity level adjustment
To the Morphological scale-space intensity of Y color sub-images under the space instrument board image CMYK, it is based on similarity level adjustment
To the Morphological scale-space intensity of K color sub-images under the space instrument board image CMYK；
Parallel processing device is connect with the data analyzing device, for the space instrument board image CMYK
Under C color sub-images, M color sub-images, Y color sub-images and K color sub-images to execute respective Morphological scale-space parallel strong
The Morphological scale-space of degree to obtain subgraph after corresponding three processing, and subgraph after described three processing is overlapped,
To obtain instant superimposed image；
Edge sharpening equipment executes edge sharpening to the instant superimposed image for receiving the instant superimposed image
Processing, to obtain and export edge sharpening image；
Combined filter equipment is connect with the edge sharpening equipment, for executing first recurrence to the edge sharpening image
The combined filter processing of gaussian filtering after filtering, to obtain and export corresponding combined filter image；
In scale analytical equipment, with the combined filter equipment, institute is extracted for the imaging features based on water temperature dial plate
The profile for stating the water temperature dial plate in combined filter image, the imaging features based on water temperature dial plate indicator extract the combination filter
The profile of water temperature dial plate indicator in wave image, the profile also based on the water temperature dial plate indicator is in the water temperature dial plate
Relative position in profile is parsed to be read with reference to water temperature；
Power cut equipment, respectively with the fault test set, the temperature measurement equipment, the scale analytical equipment
It is connected with the electric power output unit, for being read really with reference to water temperature based on described when receiving the first triggering command
It is fixed whether power cut movement to be executed to the electric power output unit；
Wherein, the power cut equipment is also used to when receiving second triggering command, based on the live water
Warm data determine whether to execute the electric power output unit power cut movement；
Wherein, determine whether to execute the electric power output unit power cut movement packet with reference to water temperature reading based on described
It includes: when the reference water temperature reading is lower than preset temperature threshold, cutting off the power supply to the electric power output unit；
Wherein, determine whether to execute the electric power output unit power cut movement packet with reference to water temperature reading based on described
It includes: when the reference water temperature reading is optionally greater than the preset temperature threshold, restoring the electric power to the electric power output unit
Supply；
Wherein, determine whether to execute the electric power output unit power cut movement packet based on the live water temperature data
It includes: when the live water temperature data is lower than preset temperature threshold, cutting off the power supply to the electric power output unit；
Wherein, determine whether to execute the electric power output unit power cut movement packet based on the live water temperature data
It includes: when the live water temperature data is optionally greater than the preset temperature threshold, restoring the electric power to the electric power output unit
Supply.
Then, continue that the specific structure of big data analysis control platform of the invention is further detailed.
In the big data analysis control platform:
The combined filter equipment includes the sub- equipment of recursive filtering and the sub- equipment of gaussian filtering, the sub- equipment of recursive filtering
It is connected with the sub- equipment of the gaussian filtering；
Wherein, in the data analyzing device, the Morphological scale-space intensity of K color sub-images with similarity grade change
Change degree is the most violent.
In the big data analysis control platform:
In the parallel processing device, the Morphological scale-space intensity of C color sub-images with similarity grade variation journey
It spends, the Morphological scale-space intensity of M color sub-images is with the variation degree of similarity grade and the Morphological scale-space of Y color sub-images
Intensity is identical with the variation degree of similarity grade；
Wherein, the Morphological scale-space intensity of C color sub-images is with the variation degree of similarity grade, M color sub-images
Morphological scale-space intensity is with the variation degree of similarity grade and the Morphological scale-space intensity of Y color sub-images with similarity grade
Variation degree and the Morphological scale-space intensity of K color sub-images with the variation degree of similarity grade be all in inverse relation.
In the big data analysis control platform:
In the similarity analysis equipment, shape similarity analysis is carried out to each shape of each object, with
Obtain corresponding similarity grade include: each object each shape it is more consistent, the corresponding similarity grade of acquisition
It is higher.
Can also include: in the big data analysis control platform
Multi-parameter detection device, it is current with similarity analysis equipment, data analyzing device and parallel processing device respectively
Not used suspension pin connection, to obtain Current Temperatures, the number of the not currently used suspension pin of similarity analysis equipment
Not currently used suspension according to the Current Temperatures and parallel processing device of the not currently used suspension pin of analyzing device is drawn
The Current Temperatures of foot.
Can also include: in the big data analysis control platform
MCU controls chip, connect with the multi-parameter detection device, for receiving not making currently for similarity analysis equipment
Suspend the Current Temperatures of pin, the Current Temperatures of the not currently used suspension pin of data analyzing device and parallel processing
The Current Temperatures of the not currently used suspension pin of equipment, and to the not currently used suspension pin of similarity analysis equipment
Current Temperatures, data analyzing device not currently used suspension pin Current Temperatures and parallel processing device it is current not
The Current Temperatures of the suspension pin used execute weighted mean operation to obtain low reference pin temperature, and the MCU control chip is also
For the low reference pin temperature of acquisition to be obtained to the silicon wafer entity temperature of similarity analysis equipment multiplied by tradeoff factor.
Can also include: in the big data analysis control platform
Scene storage equipment, the current temperature of the not currently used suspension pin for similarity analysis equipment to be stored in advance
Degree, the Current Temperatures of not currently used suspension pin of data analyzing device and the not currently used of parallel processing device are hanged
The Current Temperatures for setting pin participate in three weighted values of weighted mean operation respectively.
Can also include: in the big data analysis control platform
Speed adjustment equipment is connect, for receiving respectively with the similarity analysis equipment and MCU control chip
When the silicon wafer entity temperature arrived is more than limitation, determine that corresponding arithmetic speed lowers multiple according to silicon wafer entity temperature；
Wherein, the speed adjustment equipment is also used to lower multiple based on the arithmetic speed and execute to the similarity point
The downward of the current data processing speed of desorption device executes operation；
Wherein, it is described scene storage equipment in, the not currently used suspension pin of similarity analysis equipment it is current
Temperature, data analyzing device not currently used suspension pin Current Temperatures and parallel processing device it is not currently used
Three weighted values that the Current Temperatures of suspension pin participate in weighted mean operation respectively are of different sizes；
Wherein, the scene storage equipment is connect with MCU control chip, for the tradeoff factor to be stored in advance.
In addition, micro-control unit (Microcontroller Unit；MCU), also known as one chip microcomputer (Single
Chip Microcomputer) or single-chip microcontroller, it is central processing unit (Central Process Unit；CPU frequency)
Appropriate reduction is done with specification, and by memory (memory), counter (Timer), USB, A/D conversion, UART, PLC, DMA isoperimetric
Side interface or even LCD driving circuit all integrate the computer for forming chip-scale on a single chip, are different applications
Do various combination control.Such as mobile phone, PC periphery, remote controler, until automotive electronics, industrial stepper motor, robotic arm
Control etc., the figure of all visible MCU.
32 MCU can say it is the MCU market mainstream, single quotation between 1.5~4 dollars, working frequency mostly 100~
Between 350MHz, efficiency is executed more preferably, application type is also quite polynary.But 32 MCU can be because of operand and memory length
Increase, the program code length of identical function increases by 30~40% compared with 8/16bit MCU, this causes in embedded OTP/FlashROM
Depositing capacity cannot be too small, and the external pin number amount of chip explodes, and further limits to the cost cutting ability of 32bit MCU.
Those of ordinary skill in the art will appreciate that: realize that all or part of the steps of above method embodiment can pass through
The relevant hardware of program instruction is completed, and program above-mentioned can be stored in a computer readable storage medium, the program
When being executed, step including the steps of the foregoing method embodiments is executed；And storage medium above-mentioned include: read-only memory (English:
Read-Only Memory, referred to as: ROM), random access memory (English: Random Access Memory, referred to as:
RAM), the various media that can store program code such as magnetic or disk.
Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention., rather than its limitations；To the greatest extent
Pipe present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: its according to
So be possible to modify the technical solutions described in the foregoing embodiments, or to some or all of the technical features into
Row equivalent replacement；And these are modified or replaceed, various embodiments of the present invention technology that it does not separate the essence of the corresponding technical solution
The range of scheme.
Claims (8)
1. a kind of big data analysis control platform, which is characterized in that the platform includes:
Vehicular rechargeable socket, including power input unit and electric power output unit, power input unit are connect with cigarette lighter socket,
Electric power output unit is connect with charging equipment；
Interior imaging device, is arranged in the driver's cabin of vehicle, for carrying out imaging to instrument board, to obtain and export instrument
Dial plate image；
The side of the engine of vehicle is arranged in temperature measurement equipment, and the water temperature of engine used for vehicles measures, with
Export live water temperature data；
The side of the temperature measurement equipment is arranged in fault test set, for carrying out failure to the temperature measurement equipment
Detection, and when detecting the temperature measurement device fails, first triggering command is issued, otherwise, issues the second triggering
Instruction；
Similarity analysis equipment is connect with the interior imaging device, for receiving the instrument board image, described in acquisition
Each shape of each object in instrument board image carries out shape similarity point to each shape of each object
Analysis, to obtain corresponding similarity grade；
Data analyzing device is connect with the similarity analysis equipment, default etc. for being lower than in the similarity grade received
Reception of the starting to the instrument board image from similarity analysis equipment when grade threshold value, based on similarity level adjustment to institute
The Morphological scale-space intensity of C color sub-images under the space instrument board image CMYK is stated, based on similarity level adjustment to institute
The Morphological scale-space intensity of M color sub-images under the space instrument board image CMYK is stated, based on similarity level adjustment to institute
The Morphological scale-space intensity of Y color sub-images under the space instrument board image CMYK is stated, based on similarity level adjustment to institute
State the Morphological scale-space intensity of K color sub-images under the space instrument board image CMYK；
Parallel processing device is connect with the data analyzing device, for the C under the space instrument board image CMYK
Color sub-images, M color sub-images, Y color sub-images and K color sub-images execute the shape of respective Morphological scale-space intensity parallel
State processing to obtain subgraph after corresponding three processing, and subgraph after described three processing is overlapped, to obtain
Instant superimposed image；
Edge sharpening equipment executes edge sharpening processing to the instant superimposed image for receiving the instant superimposed image,
To obtain and export edge sharpening image；
Combined filter equipment is connect with the edge sharpening equipment, for executing first recursive filtering to the edge sharpening image
The combined filter processing of gaussian filtering afterwards, to obtain and export corresponding combined filter image；
In scale analytical equipment, with the combined filter equipment, described group is extracted for the imaging features based on water temperature dial plate
The profile of the water temperature dial plate in filtering image is closed, the imaging features based on water temperature dial plate indicator extract the combined filter figure
The profile of water temperature dial plate indicator as in, the profile of profile also based on the water temperature dial plate indicator in the water temperature dial plate
In relative position parse with reference to water temperature read；
Power cut equipment, respectively with the fault test set, the temperature measurement equipment, the scale analytical equipment and institute
The connection of electric power output unit is stated, for being with reference to water temperature reading determination based on described when receiving the first triggering command
It is no that power cut movement is executed to the electric power output unit；
Wherein, the power cut equipment is also used to when receiving second triggering command, based on the live water temperature number
According to determine whether to the electric power output unit execute power cut movement；
Wherein, determine whether that power cut movement is executed to the electric power output unit includes: with reference to water temperature reading based on described
When the reference water temperature reading is lower than preset temperature threshold, the power supply to the electric power output unit is cut off；
Wherein, determine whether that power cut movement is executed to the electric power output unit includes: with reference to water temperature reading based on described
When the reference water temperature reading is optionally greater than the preset temperature threshold, restore to supply the electric power of the electric power output unit
It answers；
Wherein, determine whether that power cut movement is executed to the electric power output unit includes: based on the live water temperature data
When the live water temperature data is lower than preset temperature threshold, the power supply to the electric power output unit is cut off；
Wherein, determine whether that power cut movement is executed to the electric power output unit includes: based on the live water temperature data
When the live water temperature data is optionally greater than the preset temperature threshold, restore to supply the electric power of the electric power output unit
It answers.
2. big data analysis control platform as described in claim 1, it is characterised in that:
The combined filter equipment includes the sub- equipment of recursive filtering and the sub- equipment of gaussian filtering, the sub- equipment of the recursive filtering and institute
State the sub- equipment connection of gaussian filtering；
Wherein, in the data analyzing device, the Morphological scale-space intensity of K color sub-images with similarity grade variation journey
It spends the most violent.
3. big data analysis control platform as claimed in claim 2, it is characterised in that:
In the parallel processing device, variation degree, M of the Morphological scale-space intensity of C color sub-images with similarity grade
The Morphological scale-space intensity of color sub-images is with the variation degree of similarity grade and the Morphological scale-space intensity of Y color sub-images
Variation degree with similarity grade is identical；
Wherein, the Morphological scale-space intensity of C color sub-images is with the variation degree of similarity grade, the form of M color sub-images
Learn processing intensity with similarity grade variation degree and Y color sub-images Morphological scale-space intensity with similarity grade change
Change degree and the Morphological scale-space intensity of K color sub-images are all in inverse relation with the variation degree of similarity grade.
4. big data analysis control platform as claimed in claim 3, it is characterised in that:
In the similarity analysis equipment, shape similarity analysis is carried out to each shape of each object, to obtain
Corresponding similarity grade includes: that each shape of each object is more consistent, and the corresponding similarity higher grade of acquisition.
5. big data analysis control platform as claimed in claim 4, which is characterized in that the platform further include:
Multi-parameter detection device does not make with the current of similarity analysis equipment, data analyzing device and parallel processing device respectively
Suspension pin connection, to obtain Current Temperatures, the data solution of the not currently used suspension pin of similarity analysis equipment
The not currently used suspension pin of the Current Temperatures and parallel processing device of the not currently used suspension pin of desorption device
Current Temperatures.
6. big data analysis control platform as claimed in claim 5, which is characterized in that the platform further include:
MCU controls chip, connect with the multi-parameter detection device, for receiving the not currently used of similarity analysis equipment
Suspend the Current Temperatures and parallel processing device of the Current Temperatures of pin, the not currently used suspension pin of data analyzing device
Not currently used suspension pin Current Temperatures, and working as to the not currently used suspension pin of similarity analysis equipment
Preceding temperature, the Current Temperatures of not currently used suspension pin of data analyzing device and the current of parallel processing device are not used
The Current Temperatures of suspension pin execute weighted mean operation to obtain low reference pin temperature, the MCU control chip is also used to
The low reference pin temperature of acquisition is obtained to the silicon wafer entity temperature of similarity analysis equipment multiplied by tradeoff factor.
7. big data analysis control platform as claimed in claim 6, which is characterized in that the platform further include:
Scene storage equipment, the Current Temperatures of the not currently used suspension pin for similarity analysis equipment to be stored in advance,
The not currently used suspension of the Current Temperatures and parallel processing device of the not currently used suspension pin of data analyzing device
The Current Temperatures of pin participate in three weighted values of weighted mean operation respectively.
8. big data analysis control platform as claimed in claim 7, which is characterized in that the platform further include:
Speed adjustment equipment is connect, for receiving respectively with the similarity analysis equipment and MCU control chip
When silicon wafer entity temperature is more than limitation, determine that corresponding arithmetic speed lowers multiple according to silicon wafer entity temperature；
Wherein, the speed adjustment equipment is also used to be lowered multiple execution based on the arithmetic speed and be set to the similarity analysis
The downward of standby current data processing speed executes operation；
Wherein, in the scene storage equipment, the Current Temperatures of the not currently used suspension pin of similarity analysis equipment,
The not currently used suspension of the Current Temperatures and parallel processing device of the not currently used suspension pin of data analyzing device
Three weighted values that the Current Temperatures of pin participate in weighted mean operation respectively are of different sizes；
Wherein, the scene storage equipment is connect with MCU control chip, for the tradeoff factor to be stored in advance.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910263212.1A CN110262301A (en) | 2019-04-02 | 2019-04-02 | Big data analysis control platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910263212.1A CN110262301A (en) | 2019-04-02 | 2019-04-02 | Big data analysis control platform |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110262301A true CN110262301A (en) | 2019-09-20 |
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