CN110474947A - Block chain transaction processing system and method - Google Patents
Block chain transaction processing system and method Download PDFInfo
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- CN110474947A CN110474947A CN201910238401.3A CN201910238401A CN110474947A CN 110474947 A CN110474947 A CN 110474947A CN 201910238401 A CN201910238401 A CN 201910238401A CN 110474947 A CN110474947 A CN 110474947A
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- 238000000034 method Methods 0.000 title claims abstract description 62
- 238000004140 cleaning Methods 0.000 claims abstract description 37
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 35
- 238000001914 filtration Methods 0.000 claims description 17
- 238000013075 data extraction Methods 0.000 claims description 12
- 238000001514 detection method Methods 0.000 claims description 11
- 238000004458 analytical method Methods 0.000 claims description 8
- 238000003384 imaging method Methods 0.000 claims description 6
- 239000000571 coke Substances 0.000 claims description 4
- 238000010981 drying operation Methods 0.000 claims description 4
- 230000001960 triggered effect Effects 0.000 claims description 2
- 238000012163 sequencing technique Methods 0.000 claims 2
- 238000001035 drying Methods 0.000 abstract description 5
- 230000006870 function Effects 0.000 description 5
- 238000007664 blowing Methods 0.000 description 2
- 238000003032 molecular docking Methods 0.000 description 2
- 230000006399 behavior Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 230000002427 irreversible effect Effects 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 238000002156 mixing Methods 0.000 description 1
- 230000036651 mood Effects 0.000 description 1
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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
- G05B19/18—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form
- G05B19/414—Structure of the control system, e.g. common controller or multiprocessor systems, interface to servo, programmable interface controller
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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
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/4185—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by the network communication
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- 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
- H04L67/104—Peer-to-peer [P2P] networks
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Abstract
The present invention relates to a kind of block chain transaction processing systems, it include: self-cleaning mechanism, it is supported on dining table, including mechanical arm, hair dryer, microcontroller, driving motor, image acquisition device and image recognizer, microcontroller is used for when receiving the first control instruction, control self-cleaning mechanism enters working condition, and when receiving the second control instruction, control self-cleaning mechanism enters dormant state；Block chain server detects the human object in curve processing image for benchmark human body contour outline, and when detecting human object, issues the first control instruction, otherwise, issues the second control instruction.The invention further relates to a kind of block chain method for processing business.Block chain transaction processing system of the invention and method are easy to operate, reliable for operation.Due to introducing the self-cleaning mechanism of customization structure, when confirming that dining table someone uses automatically into dining table water mark drying mode, so that the user of service to dining table provides convenience.
Description
Technical field
The present invention relates to block chain field more particularly to a kind of block chain transaction processing system and methods.
Background technique
Block chain-original block chain is a kind of database of decentralization, he includes the list for being referred to as block,
There is the record of sustainable growth and marshalling.Each block includes the chain of a timestamp and one with previous block
Connect: design block chain makes data that can not distort-once record, and the data in a block will be irreversible.
The design of block chain is a kind of safeguard measure, for example is applied to distributed computing system highly fault tolerant.Block chain makes
Mixing consistency is possibly realized.This make block chain be suitble to record event, title, medical records and other need to include the work of data
Dynamic, identification management, transaction flow management and source prove management.Block chain has huge potential for financial disintermediation, right
There is tremendous influence in guidance global trade.
Summary of the invention
The present invention needs to have inventive point crucial at following two:
(1) self-cleaning mechanism of customization structure, including mechanical arm, hair dryer, microcontroller, driving motor, figure are introduced
As collector and image recognizer, with when confirming that dining table someone uses automatically into dining table water mark drying mode, to give
The user of service of dining table provides convenience；
(2) it is determined to execute filtering processing using different filter apparatus according to the specific value of the resolution ratio of image, so that
It must be filtered and adapt to resolution ratio changed image data in real time.
According to an aspect of the present invention, a kind of block chain transaction processing system is provided, the system comprises: automatically cleaning machine
Structure is supported on dining table, including mechanical arm, hair dryer, microcontroller, driving motor, image acquisition device and image recognizer,
The microcontroller is used for when receiving the first control instruction, is controlled the self-cleaning mechanism and is entered working condition, is also used to
When receiving the second control instruction, controls the self-cleaning mechanism and enter dormant state；Wherein, in the self-cleaning mechanism
In, described image collector is used to shoot to obtain dining table surface image dining table, and described image identifier is adopted with described image
Storage connection, for identifying the water mark region in the dining table surface image based on water mark imaging features.
More specifically, in the block chain transaction processing system: in the self-cleaning mechanism, the driving motor with
Described image identifier is connected with the mechanical arm, for the position based on the water mark region in the dining table surface image
The top for the water mark position for driving the mechanical arm to be placed into dining table with the hair dryer clamped is set, to execute to dining table water
The drying of mark operates.
More specifically, in the block chain transaction processing system, further includes: block chain server, respectively with it is described micro-
Controller is connected with the curve processing equipment, for benchmark human body contour outline to the human object in the curve processing image into
Row detection, and when detecting human object, the first control instruction is issued, otherwise, issues the second control instruction；In the block
In chain server, when the similarity of domain of the existence in the curve processing image and the benchmark human body contour outline is more than default percentage
When than threshold value, human object is confirmly detected；The top of dining table is arranged in pinhole camera, for taking the photograph to lower section scene
As operation, to obtain and export corresponding lower section scene image；Signal recognition equipment connect with the pinhole camera, is used for
The lower section scene image is received, scene parsing operation is carried out to the resolution ratio of the lower section scene image, to obtain and export
Corresponding scene resolution ratio；Data extraction device is connect with the signal recognition equipment, for receiving the live resolution ratio,
And the determining level of resolution directly proportional to the live resolution ratio, export the level of resolution；Processing equipment is selected, with institute
Data extraction device connection is stated, it, will be described for when the level of resolution received is less than or equal to predetermined level threshold value
The data channel of signal recognition equipment to smooth Spaces filter apparatus is opened, and the signal recognition equipment to sort method is filtered
The data channel of equipment is closed.
According to another aspect of the present invention, a kind of block chain method for processing business is additionally provided, which comprises use
Self-cleaning mechanism is supported on dining table, including mechanical arm, hair dryer, microcontroller, driving motor, image acquisition device and figure
As identifier, the microcontroller is used for when receiving the first control instruction, controls the self-cleaning mechanism and enter work shape
State is also used to when receiving the second control instruction, is controlled the self-cleaning mechanism and is entered dormant state；Wherein, it is described from
In cleaning mechanism, described image collector is used to shoot to obtain dining table surface image, described image identifier and institute dining table
Image acquisition device connection is stated, for identifying the water mark region in the dining table surface image based on water mark imaging features.
More specifically, in the block chain method for processing business: in the self-cleaning mechanism, the driving motor with
Described image identifier is connected with the mechanical arm, for the position based on the water mark region in the dining table surface image
The top for the water mark position for driving the mechanical arm to be placed into dining table with the hair dryer clamped is set, to execute to dining table water
The drying of mark operates.
More specifically, in the block chain method for processing business: use block chain server, respectively with the microcontroller
Device is connected with the curve processing equipment, is examined for benchmark human body contour outline to the human object in the curve processing image
It surveys, and when detecting human object, issues the first control instruction, otherwise, issue the second control instruction；It is taken in the block chain
It is engaged in device, when the similarity of domain of the existence in the curve processing image and the benchmark human body contour outline is more than preset percentage threshold
When value, human object is confirmly detected；Using pinhole camera, the top of dining table is set, for taking the photograph to lower section scene
As operation, to obtain and export corresponding lower section scene image；Using signal recognition equipment, it is connect with the pinhole camera,
For receiving the lower section scene image, scene parsing operation is carried out to the resolution ratio of the lower section scene image, to obtain simultaneously
Export corresponding live resolution ratio；Using data extraction device, it is connect with the signal recognition equipment, for receiving the scene
Resolution ratio, and the determining level of resolution directly proportional to the live resolution ratio, export the level of resolution；At selection
Equipment is managed, is connect with the data extraction device, for being less than or equal to predetermined level threshold in the level of resolution received
When value, the data channel of the signal recognition equipment to smooth Spaces filter apparatus is opened, the signal recognition equipment is arrived
The data channel of sort method filter apparatus is closed.
The invention further relates to a kind of block chain method for processing business.Block chain transaction processing system of the invention and method behaviour
Facilitate, it is reliable for operation.Due to introducing the self-cleaning mechanism of customization structure, when confirming that dining table someone uses automatically into dining table
In water mark drying mode, so that the user of service to dining table provides convenience.
Specific embodiment
The embodiment of block chain transaction processing system and method for the invention will be described in detail below.
When selecting restaurant locations, two kinds of places are best selections: first is that the more place of company's office building, second is that occupying
Local-style dwelling houses lives intensive place.Selection is in the more place of company's office building, it is ensured that noon business.Much place is some
Often there is the case where noon vacancy is too many, but not enough sits at night in restaurant.Old food and drink takes notice of that noon business can be carried out very much.This
Sample can guarantee one day Recycle mechanism.
There are many kinds of the channels for selecting StoreFront.It can directly can also be looked for by changing hands advertisement before media advertisement, shops
House newly developed and landlord talk.It there are also a kind of mode is directly arrived and joins with StoreFront owner after choosing substantially location
System.It should not be should not just enter for the place more than shop.If characteristic a slap-bang shop is more in a street, the effect in the city Dian Duolong will cause
It answers, business is easier to do than single-handed instead.Key is that difference is made with other shop between so more shops.Institute
Difference is called, most importantly wants creative, to mark new conception.The novel dining room of food is opened, traveller can not only be attracted, and
Profit is also more much higher than common restaurant.
In the prior art, in managing at the restaurant, customer when using dining table due to cleaning tableware or toppling over drink etc., no
Cause to form water mark on dining table avoidablely, especially in the case where customer's carrying child, the water mark on dining table can not only be write freely and easily
Onto customer's clothing, more it is essential that affecting the mood of having dinner of customer.
In order to overcome above-mentioned deficiency, the present invention has built a kind of block chain transaction processing system and method, can effectively solve
Certainly corresponding technical problem.
The block chain transaction processing system shown according to an embodiment of the present invention includes:
Self-cleaning mechanism is supported on dining table, including mechanical arm, hair dryer, microcontroller, driving motor, image are adopted
Storage and image recognizer, the microcontroller be used for when receiving the first control instruction, control the self-cleaning mechanism into
Enter working condition, be also used to when receiving the second control instruction, controls the self-cleaning mechanism and enter dormant state；
Wherein, in the self-cleaning mechanism, described image collector is used to shoot to obtain dining table exterior view dining table
Picture, described image identifier are connect with described image collector, for identifying the dining table exterior view based on water mark imaging features
Water mark region as in.
Then, continue that the specific structure of block chain transaction processing system of the invention is further detailed.
In the block chain transaction processing system:
In the self-cleaning mechanism, the driving motor is connect with described image identifier and the mechanical arm, is used
In the blowing for driving the mechanical arm to be clamped based on position of the water mark region in the dining table surface image
Machine is placed into the top of the water mark position of dining table, to execute the drying operation to dining table water mark.
Can also include: in the block chain transaction processing system
Block chain server is connect with the microcontroller and the curve processing equipment respectively, is used for benchmark human body wheel
Exterior feature detects the human object in the curve processing image, and when detecting human object, issues the first control and refers to
It enables, otherwise, issues the second control instruction；
In the block chain server, when domain of the existence in the curve processing image and the benchmark human body contour outline
When similarity is more than preset percentage threshold value, human object is confirmly detected；
The top of dining table is arranged in pinhole camera, for carrying out camera operation to lower section scene, to obtain simultaneously output phase
The lower section scene image answered；
Signal recognition equipment is connect with the pinhole camera, for receiving the lower section scene image, to the lower section
The resolution ratio of scene image carries out scene parsing operation, to obtain and export corresponding live resolution ratio；
Data extraction device is connect with the signal recognition equipment, for receiving the live resolution ratio, and determining and institute
The directly proportional level of resolution of live resolution ratio is stated, the level of resolution is exported；
Processing equipment is selected, is connect with the data extraction device, for being less than in the level of resolution received
When equal to predetermined level threshold value, the data channel of the signal recognition equipment to smooth Spaces filter apparatus is opened, it will be described
The data channel of signal recognition equipment to sort method filter apparatus is closed；
Smooth Spaces filter apparatus, for when the data channel with the signal recognition equipment is opened, to receiving
Lower section scene image execute smooth Spaces filtering processing, to obtain and export corresponding current filter image；
Sort method filter apparatus, for when the data channel with the signal recognition equipment is opened, to receiving
Lower section scene image execute sort method filtering processing, to obtain and export corresponding current filter image；
Curve processing equipment is connect with the smooth Spaces filter apparatus and the sort method filter apparatus respectively, is used
The maximum radian of each curve is all adjusted to default radian threshold value hereinafter, to obtain simultaneously in the current filter image received
Export corresponding curve processing image；
Wherein, the selection processing equipment is also used to be greater than the predetermined level threshold in the level of resolution received
When value, the data channel of the signal recognition equipment to smooth Spaces filter apparatus is closed, the signal recognition equipment is arrived
The data channel of sort method filter apparatus is opened；
Wherein, the smooth Spaces filter apparatus is also used to be closed in the data channel with the signal recognition equipment
When, it interrupts and smooth Spaces filtering processing is executed to the lower section scene image received；
Wherein, the sort method filter apparatus is also used to be closed in the data channel with the signal recognition equipment
When, it interrupts and sort method filtering processing is executed to the lower section scene image received.
In the block chain transaction processing system:
The curve processing equipment, the smooth Spaces filter apparatus and the sort method filter apparatus share same 32
Bit parallel data bus；
Wherein, the image analytic degree of described image collector be the image analytic degree of the pinhole camera two/
One, and the coverage of described image collector is the half of the pinhole camera coverage.
Can also include: in the block chain transaction processing system
Sharpness detection device is connect with the pinhole camera, for receiving the lower section scene image, detects institute
The sharpness of lower section scene image is stated, and when the sharpness is less than default sharpening level, sending sharpened low signal,
And it when the sharpness is more than or equal to the default sharpening level, issues and sharpens normal signal；
Histogram identifies equipment, connect respectively with the sharpness detection device and the pinhole camera, is used for
Receive it is described carry out operating mode from battery saving mode when sharpening low signal, and in the operating mode, start to described
The histogram analysis of lower section scene image is determined based on grey value profile uniformity in the histogram analysis result and issues zoom
Control signal or the burnt control signal of dimension；
Auto focus apparatus identifies that equipment and the pinhole camera are connect with the histogram respectively, for receiving
When to the zoom control signal, the auto focus apparatus is triggered and executes handling the auto-focusing of the pinhole camera,
For stopping the auto-focusing executing to the pinhole camera and handling when receiving the dimension coke control signal；
Wherein, the histogram identification equipment issues Zoom control when the grey value profile uniformity is higher than limit value
Signal, the histogram identification equipment issue the burnt control signal of dimension when the grey value profile uniformity is less than or equal to limit value；
Wherein, histogram identification equipment is also used to when receiving the sharpening normal signal, from operating mode into
Enter battery saving mode.
The block chain method for processing business shown according to an embodiment of the present invention includes:
It using self-cleaning mechanism, is supported on dining table, including mechanical arm, hair dryer, microcontroller, driving motor, figure
As collector and image recognizer, the microcontroller is used for when receiving the first control instruction, controls the automatically cleaning machine
Structure enters working condition, is also used to when receiving the second control instruction, controls the self-cleaning mechanism and enters dormant state；
Wherein, in the self-cleaning mechanism, described image collector is used to shoot to obtain dining table exterior view dining table
Picture, described image identifier are connect with described image collector, for identifying the dining table exterior view based on water mark imaging features
Water mark region as in.
Then, continue that the specific steps of block chain method for processing business of the invention are further detailed.
In the block chain method for processing business:
In the self-cleaning mechanism, the driving motor is connect with described image identifier and the mechanical arm, is used
In the blowing for driving the mechanical arm to be clamped based on position of the water mark region in the dining table surface image
Machine is placed into the top of the water mark position of dining table, to execute the drying operation to dining table water mark.
The block chain method for processing business can also include:
It using block chain server, is connect respectively with the microcontroller and the curve processing equipment, is used for benchmark people
Body profile detects the human object in the curve processing image, and when detecting human object, issues the first control
Otherwise system instruction issues the second control instruction；
In the block chain server, when domain of the existence in the curve processing image and the benchmark human body contour outline
When similarity is more than preset percentage threshold value, human object is confirmly detected；
Using pinhole camera, the top of dining table is set, for lower section scene carry out camera operation, with obtain and it is defeated
Corresponding lower section scene image out；
It using signal recognition equipment, is connect with the pinhole camera, for receiving the lower section scene image, to described
The resolution ratio of lower section scene image carries out scene parsing operation, to obtain and export corresponding live resolution ratio；
It using data extraction device, connect with the signal recognition equipment, for receiving the live resolution ratio, and determines
The level of resolution directly proportional to the live resolution ratio, exports the level of resolution；
Using selection processing equipment, it is connect with the data extraction device, in the level of resolution received
When less than or equal to predetermined level threshold value, the data channel of the signal recognition equipment to smooth Spaces filter apparatus is opened, it will
The data channel of the signal recognition equipment to sort method filter apparatus is closed；
Using smooth Spaces filter apparatus, for docking when the data channel with the signal recognition equipment is opened
The lower section scene image received executes smooth Spaces filtering processing, to obtain and export corresponding current filter image；
Using sort method filter apparatus, for docking when the data channel with the signal recognition equipment is opened
The lower section scene image received executes sort method filtering processing, to obtain and export corresponding current filter image；
Using curve processing equipment, connect respectively with the smooth Spaces filter apparatus and the sort method filter apparatus
Connect, be all adjusted to default radian threshold value for the maximum radian to each curve in the current filter image received hereinafter, with
It obtains and exports corresponding curve processing image；
Wherein, the selection processing equipment is also used to be greater than the predetermined level threshold in the level of resolution received
When value, the data channel of the signal recognition equipment to smooth Spaces filter apparatus is closed, the signal recognition equipment is arrived
The data channel of sort method filter apparatus is opened；
Wherein, the smooth Spaces filter apparatus is also used to be closed in the data channel with the signal recognition equipment
When, it interrupts and smooth Spaces filtering processing is executed to the lower section scene image received；
Wherein, the sort method filter apparatus is also used to be closed in the data channel with the signal recognition equipment
When, it interrupts and sort method filtering processing is executed to the lower section scene image received.
In the block chain method for processing business:
The curve processing equipment, the smooth Spaces filter apparatus and the sort method filter apparatus share same 32
Bit parallel data bus；
Wherein, the image analytic degree of described image collector be the image analytic degree of the pinhole camera two/
One, and the coverage of described image collector is the half of the pinhole camera coverage.
The block chain method for processing business can also include:
It using sharpness detection device, connect with the pinhole camera, for receiving the lower section scene image, examines
The sharpness of the lower section scene image is surveyed, and when the sharpness is less than default sharpening level, it is too low to issue sharpening
Signal, and when the sharpness is more than or equal to the default sharpening level, issues and sharpen normal signal；
Equipment is identified using histogram, is connect respectively with the sharpness detection device and the pinhole camera, is used
In receive it is described sharpened low signal when, carry out operating mode from battery saving mode, and in the operating mode, starting pair
The histogram analysis of the lower section scene image is determined based on grey value profile uniformity in the histogram analysis result and is issued
Zoom control signal or the burnt control signal of dimension；
Using auto focus apparatus, identifies that equipment and the pinhole camera are connect with the histogram respectively, be used for
When receiving the zoom control signal, triggers the auto focus apparatus and execute to the auto-focusing of the pinhole camera
Reason, for stopping the auto-focusing executing to the pinhole camera and handling when receiving the dimension coke control signal；
Wherein, the histogram identification equipment issues Zoom control when the grey value profile uniformity is higher than limit value
Signal, the histogram identification equipment issue the burnt control signal of dimension when the grey value profile uniformity is less than or equal to limit value；
Wherein, histogram identification equipment is also used to when receiving the sharpening normal signal, from operating mode into
Enter battery saving mode.
In addition, the sharpness detection device is realized by CPLD chip.CPLD(Complex Programmable
Logic Device) Complex Programmable Logic Devices is the device come out from PAL and GAL device development, in contrast scale
Greatly, structure is complicated, belongs to large scale integrated circuit range.It is a kind of user according to respective need and voluntarily constitutive logic function
Digital integrated electronic circuit.Its basic design method is by Integrated Development software platform, with the side such as schematic diagram, hardware description language
Method generates corresponding file destination, code is transmitted in objective chip by download cable (" in system " programs), realization is set
The digital display circuit of meter.
CPLD is mainly the programmable interconnection matrix list that center is surrounded by programmable logic macroelement (MC, Macro Cell)
Member composition.Wherein MC structure is more complex, and has complicated I/O cell interconnection structure, can be generated as needed by user specific
Circuit structure, complete certain function.Since the metal wire inside CPLD using regular length carries out the interconnection of each logical block,
So the logic circuit of design has time predictability, the shortcomings that segmented interconnection structure timing is not exclusively predicted is avoided.
It is last it is noted that each function device in each embodiment of the present invention can integrate and set in a processing
In standby, it is also possible to each equipment and physically exists alone, it can also be with two or more integration of equipments within one device.
It, can be with if the function is realized and when sold or used as an independent product in the form of software function equipment
It is stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be a
People's computer, server or network equipment etc.) it performs all or part of the steps of the method described in the various embodiments of the present invention.
And storage medium above-mentioned includes: that USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited
The various media that can store program code such as reservoir (RAM, Random Access Memory), magnetic or disk.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain
Lid is within protection scope of the present invention.Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. a kind of block chain transaction processing system, which is characterized in that the system comprises:
Self-cleaning mechanism is supported on dining table, including mechanical arm, hair dryer, microcontroller, driving motor, image acquisition device
And image recognizer, the microcontroller are used for when receiving the first control instruction, control the self-cleaning mechanism and enter work
Make state, be also used to when receiving the second control instruction, controls the self-cleaning mechanism and enter dormant state；
Wherein, in the self-cleaning mechanism, described image collector is used to shoot to obtain dining table surface image, institute dining table
It states image recognizer to connect with described image collector, for identifying in the dining table surface image based on water mark imaging features
Water mark region.
2. block chain transaction processing system as described in claim 1, it is characterised in that:
In the self-cleaning mechanism, the driving motor is connect with described image identifier and the mechanical arm, is used for base
It is put in the hair dryer that position of the water mark region in the dining table surface image drives the mechanical arm to be clamped
The top of the water mark position of dining table is set, to execute the drying operation to dining table water mark.
3. block chain transaction processing system as claimed in claim 2, which is characterized in that the system also includes:
Block chain server is connect with the microcontroller and the curve processing equipment respectively, is used for benchmark human body contour outline pair
Human object in the curve processing image is detected, and when detecting human object, issues the first control instruction, no
Then, the second control instruction is issued；
In the block chain server, when domain of the existence is similar to the benchmark human body contour outline in the curve processing image
When degree is more than preset percentage threshold value, human object is confirmly detected；
The top of dining table is arranged in pinhole camera, corresponding to obtain and export for carrying out camera operation to lower section scene
Lower section scene image；
Signal recognition equipment is connect with the pinhole camera, for receiving the lower section scene image, to the lower section scene
The resolution ratio of image carries out scene parsing operation, to obtain and export corresponding live resolution ratio；
Data extraction device is connect with the signal recognition equipment, for receiving the live resolution ratio, and it is determining with it is described existing
The directly proportional level of resolution of field resolution ratio, exports the level of resolution；
Processing equipment is selected, is connect with the data extraction device, for being less than or equal in the level of resolution received
When predetermined level threshold value, the data channel of the signal recognition equipment to smooth Spaces filter apparatus is opened, by the signal
The data channel of identification apparatus to sort method filter apparatus is closed；
Smooth Spaces filter apparatus, for when the data channel with the signal recognition equipment is opened, to receiving down
Square scene image executes smooth Spaces filtering processing, to obtain and export corresponding current filter image；
Sort method filter apparatus, for when the data channel with the signal recognition equipment is opened, to receiving down
Square scene image executes sort method filtering processing, to obtain and export corresponding current filter image；
Curve processing equipment is connect with the smooth Spaces filter apparatus and the sort method filter apparatus respectively, for pair
The maximum radian of each curve is all adjusted to default radian threshold value hereinafter, to obtain and export in the current filter image received
Corresponding curve processing image；
Wherein, the selection processing equipment is also used to be greater than the predetermined level threshold value in the level of resolution received
When, the data channel of the signal recognition equipment to smooth Spaces filter apparatus is closed, by the signal recognition equipment to system
The data channel for counting sequenc-ing cluster equipment is opened；
Wherein, the smooth Spaces filter apparatus is also used to when the data channel with the signal recognition equipment is closed, in
It is disconnected that smooth Spaces filtering processing is executed to the lower section scene image received；
Wherein, the sort method filter apparatus is also used to when the data channel with the signal recognition equipment is closed, in
It is disconnected that sort method filtering processing is executed to the lower section scene image received.
4. block chain transaction processing system as claimed in claim 3, it is characterised in that:
The curve processing equipment, the smooth Spaces filter apparatus and the sort method filter apparatus share same 32 simultaneously
Row data/address bus；
Wherein, the image analytic degree of described image collector is the half of the image analytic degree of the pinhole camera, and
The coverage of described image collector is the half of the pinhole camera coverage.
5. block chain transaction processing system as claimed in claim 4, which is characterized in that the system also includes:
Sharpness detection device is connect with the pinhole camera, for receiving the lower section scene image, under detection is described
The sharpness of square scene image, and when the sharpness is less than default sharpening level, sending sharpened low signal, and
When the sharpness is more than or equal to the default sharpening level, issues and sharpen normal signal；
Histogram identifies equipment, connect respectively with the sharpness detection device and the pinhole camera, for receiving
To it is described sharpened low signal when, carry out operating mode from battery saving mode, and in the operating mode, start to the lower section
The histogram analysis of scene image is determined based on grey value profile uniformity in the histogram analysis result and issues Zoom control
Signal or the burnt control signal of dimension；
Auto focus apparatus identifies that equipment and the pinhole camera are connect with the histogram respectively, for receiving
When stating zoom control signal, triggers the auto focus apparatus execution and the auto-focusing of the pinhole camera is handled, be used for
When receiving the dimension coke control signal, stops the auto-focusing executing to the pinhole camera and handle；
Wherein, the histogram identification equipment issues zoom control signal when the grey value profile uniformity is higher than limit value,
The histogram identification equipment issues the burnt control signal of dimension when the grey value profile uniformity is less than or equal to limit value；
Wherein, the histogram identification equipment is also used to enter province from operating mode when receiving the sharpening normal signal
Power mode.
6. a kind of block chain method for processing business, which is characterized in that the described method includes:
It using self-cleaning mechanism, is supported on dining table, including mechanical arm, hair dryer, microcontroller, driving motor, image are adopted
Storage and image recognizer, the microcontroller be used for when receiving the first control instruction, control the self-cleaning mechanism into
Enter working condition, be also used to when receiving the second control instruction, controls the self-cleaning mechanism and enter dormant state；
Wherein, in the self-cleaning mechanism, described image collector is used to shoot to obtain dining table surface image, institute dining table
It states image recognizer to connect with described image collector, for identifying in the dining table surface image based on water mark imaging features
Water mark region.
7. block chain method for processing business as claimed in claim 6, it is characterised in that:
In the self-cleaning mechanism, the driving motor is connect with described image identifier and the mechanical arm, is used for base
It is put in the hair dryer that position of the water mark region in the dining table surface image drives the mechanical arm to be clamped
The top of the water mark position of dining table is set, to execute the drying operation to dining table water mark.
8. block chain method for processing business as claimed in claim 7, which is characterized in that the method also includes:
It using block chain server, is connect respectively with the microcontroller and the curve processing equipment, is used for benchmark human body wheel
Exterior feature detects the human object in the curve processing image, and when detecting human object, issues the first control and refers to
It enables, otherwise, issues the second control instruction；
In the block chain server, when domain of the existence is similar to the benchmark human body contour outline in the curve processing image
When degree is more than preset percentage threshold value, human object is confirmly detected；
Using pinhole camera, the top of dining table is set, for carrying out camera operation to lower section scene, to obtain simultaneously output phase
The lower section scene image answered；
It using signal recognition equipment, is connect with the pinhole camera, for receiving the lower section scene image, to the lower section
The resolution ratio of scene image carries out scene parsing operation, to obtain and export corresponding live resolution ratio；
It using data extraction device, is connect with the signal recognition equipment, for receiving the live resolution ratio, and determining and institute
The directly proportional level of resolution of live resolution ratio is stated, the level of resolution is exported；
Using selection processing equipment, it is connect with the data extraction device, for being less than in the level of resolution received
When equal to predetermined level threshold value, the data channel of the signal recognition equipment to smooth Spaces filter apparatus is opened, it will be described
The data channel of signal recognition equipment to sort method filter apparatus is closed；
Using smooth Spaces filter apparatus, for when the data channel with the signal recognition equipment is opened, to receiving
Lower section scene image execute smooth Spaces filtering processing, to obtain and export corresponding current filter image；
Using sort method filter apparatus, for when the data channel with the signal recognition equipment is opened, to receiving
Lower section scene image execute sort method filtering processing, to obtain and export corresponding current filter image；
It using curve processing equipment, connect, uses with the smooth Spaces filter apparatus and the sort method filter apparatus respectively
The maximum radian of each curve is all adjusted to default radian threshold value hereinafter, to obtain simultaneously in the current filter image received
Export corresponding curve processing image；
Wherein, the selection processing equipment is also used to be greater than the predetermined level threshold value in the level of resolution received
When, the data channel of the signal recognition equipment to smooth Spaces filter apparatus is closed, by the signal recognition equipment to system
The data channel for counting sequenc-ing cluster equipment is opened；
Wherein, the smooth Spaces filter apparatus is also used to when the data channel with the signal recognition equipment is closed, in
It is disconnected that smooth Spaces filtering processing is executed to the lower section scene image received；
Wherein, the sort method filter apparatus is also used to when the data channel with the signal recognition equipment is closed, in
It is disconnected that sort method filtering processing is executed to the lower section scene image received.
9. block chain method for processing business as claimed in claim 8, it is characterised in that:
The curve processing equipment, the smooth Spaces filter apparatus and the sort method filter apparatus share same 32 simultaneously
Row data/address bus；
Wherein, the image analytic degree of described image collector is the half of the image analytic degree of the pinhole camera, and
The coverage of described image collector is the half of the pinhole camera coverage.
10. block chain method for processing business as claimed in claim 9, which is characterized in that the method also includes:
It using sharpness detection device, is connect with the pinhole camera, for receiving the lower section scene image, detects institute
The sharpness of lower section scene image is stated, and when the sharpness is less than default sharpening level, sending sharpened low signal,
And it when the sharpness is more than or equal to the default sharpening level, issues and sharpens normal signal；
Equipment is identified using histogram, is connect respectively with the sharpness detection device and the pinhole camera, is used for
Receive it is described carry out operating mode from battery saving mode when sharpening low signal, and in the operating mode, start to described
The histogram analysis of lower section scene image is determined based on grey value profile uniformity in the histogram analysis result and issues zoom
Control signal or the burnt control signal of dimension；
Using auto focus apparatus, identify that equipment and the pinhole camera are connect with the histogram respectively, for receiving
When to the zoom control signal, the auto focus apparatus is triggered and executes handling the auto-focusing of the pinhole camera,
For stopping the auto-focusing executing to the pinhole camera and handling when receiving the dimension coke control signal；
Wherein, the histogram identification equipment issues zoom control signal when the grey value profile uniformity is higher than limit value,
The histogram identification equipment issues the burnt control signal of dimension when the grey value profile uniformity is less than or equal to limit value；
Wherein, the histogram identification equipment is also used to enter province from operating mode when receiving the sharpening normal signal
Power mode.
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