CN110989943B - Parameter analysis device based on cloud computing - Google Patents
Parameter analysis device based on cloud computing Download PDFInfo
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- CN110989943B CN110989943B CN201910220527.8A CN201910220527A CN110989943B CN 110989943 B CN110989943 B CN 110989943B CN 201910220527 A CN201910220527 A CN 201910220527A CN 110989943 B CN110989943 B CN 110989943B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/12—Digital output to print unit, e.g. line printer, chain printer
- G06F3/1201—Dedicated interfaces to print systems
- G06F3/1202—Dedicated interfaces to print systems specifically adapted to achieve a particular effect
- G06F3/1203—Improving or facilitating administration, e.g. print management
- G06F3/1204—Improving or facilitating administration, e.g. print management resulting in reduced user or operator actions, e.g. presetting, automatic actions, using hardware token storing data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/12—Digital output to print unit, e.g. line printer, chain printer
- G06F3/1201—Dedicated interfaces to print systems
- G06F3/1223—Dedicated interfaces to print systems specifically adapted to use a particular technique
- G06F3/1229—Printer resources management or printer maintenance, e.g. device status, power levels
- G06F3/1234—Errors handling and recovery, e.g. reprinting
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/20—Image enhancement or restoration by the use of local operators
- G06T5/30—Erosion or dilatation, e.g. thinning
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
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- 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
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/70—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by syntax aspects related to video coding, e.g. related to compression standards
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20036—Morphological image processing
Abstract
The invention relates to a parameter analysis device based on cloud computing, which comprises: the paper discarding device is positioned at a paper inlet of the printer and used for discarding the current paper to enter the paper inlet when the received paper cleanness grade is lower than a preset grade threshold value, otherwise, the current paper to enter the paper inlet is not operated; and the cloud computing node is respectively connected with the paper discarding device and the parameter acquisition device through a network and is used for determining the corresponding paper cleaning grade based on the received target gray value. The parameter analysis device based on the cloud computing is wide in application and simple to operate.
Description
Technical Field
The invention relates to the field of cloud computing, in particular to a parameter analysis device based on cloud computing.
Background
Cloud Computing (Cloud Computing) is an augmentation, usage, and interaction model for internet-based related services, typically involving the provision of dynamically scalable and often virtualized resources over the internet. Cloud is a metaphor of network and internet. In the past, telecommunications networks were often represented by clouds and later also by the abstraction of the internet and the underlying infrastructure. Therefore, cloud computing can enable you to experience even 10 trillion times per second computing power, and the powerful computing power can simulate nuclear explosion, forecast climate change and market development trend. A user accesses the data center through a computer, a notebook, a mobile phone and the like and operates according to the own requirements.
There are various references to the definition of cloud computing. At least 100 interpretations can be found for what is exactly cloud computing. It is now widely accepted that the National Institute of Standards and Technology (NIST) defines: cloud computing is a pay-per-use model that provides available, convenient, on-demand network access into a configurable shared pool of computing resources (resources including networks, servers, storage, applications, services) that can be provisioned quickly, with little administrative effort, or interaction with service providers.
Disclosure of Invention
The invention should have at least the following three important points:
(1) the method comprises the steps that paper discarding equipment is arranged at a paper inlet of the printer, when the received paper cleanliness grade is lower than a preset grade threshold value, current paper to enter the paper inlet is discarded, otherwise, the current paper to enter the paper inlet is not operated, and therefore the printing effect is guaranteed;
(2) on the basis of morphological processing, reliable data volume judgment is carried out on an input image in a trial compression mode, and effective data volume of the input image is obtained so as to facilitate subsequent image processing operation;
(3) the effective data volume of the image to be processed is tested through compression coding processing, and the data processing speed of subsequent equipment is adjusted based on the effective data volume, so that the self-adaptive capacity of the whole image processing system is improved.
According to an aspect of the present invention, there is provided a cloud computing-based parameter resolution apparatus, the apparatus including: and the paper discarding device is positioned at the paper inlet of the printer and used for discarding the current paper which is about to enter the paper inlet when the received paper clean grade is lower than a preset grade threshold value.
More specifically, in the cloud-computing-based parameter resolution device: the paper discarding device is used for not operating the current paper to enter the paper inlet when the received paper cleaning level is higher than or equal to the preset level threshold.
More specifically, in the cloud computing-based parameter analysis apparatus, the cloud computing-based parameter analysis apparatus may further include: the cloud computing node is respectively connected with the paper discarding equipment and the parameter acquisition equipment through a network and is used for determining the corresponding paper cleaning grade based on the received target gray value; the parameter acquisition equipment is connected with the rotation correction equipment and used for acquiring each gray value of each pixel point of the current correction image and sequencing each gray value to take the gray value corresponding to the central sequence number as a target gray value; the instant snapshot device is arranged above a paper inlet of the printer and used for instantly snapshotting a scene where the paper inlet is located so as to obtain and output a corresponding instant snapshot image; the morphology processing equipment is connected with the instant snapshot equipment and used for receiving the instant snapshot image and performing expansion processing and then corrosion processing on the instant snapshot image to obtain a morphology processing image; the compression coding device is connected with the morphological processing device and used for receiving the morphological processing image and executing H264 compression coding processing on the morphological processing image to obtain compression coded image data; the signal extraction device is connected with the compression coding device and is used for analyzing the data volume of the image data after compression coding so as to obtain the corresponding effective data volume of the morphological processing image; and the speed adjusting device is respectively connected with the compression coding device and the signal extraction device and is used for receiving the effective data amount, determining a data processing speed proportional to the effective data amount based on the effective data amount and outputting the data processing speed.
The parameter analysis device based on the cloud computing is wide in application and simple to operate. Because set up paper abandon equipment in the paper feed mouth department of printer, when the clean grade of received paper is less than preset grade threshold value, abandon the current paper that will get into in the paper feed mouth, otherwise, do not operate the current paper that will get into in the paper feed mouth to the effect of printing has been guaranteed.
Detailed Description
An embodiment of the cloud-computing-based parameter analysis apparatus according to the present invention will be described in detail below.
The paper is a sheet made of plant fiber and used for writing and painting, printing books and newspapers, packaging and the like. Paper: the generic term of paper. Paper is counted by sheet and is called. The paper is generally divided into: letterpress, newsprint, offset, coated, book cover, dictionary, copy, board, etc.
A common classification of paper is as follows:
1. relief printing paper: the packaging form of the product is divided into a reel and a flat plate. The raised paper basis weight is from 50 grams per square meter to 80 grams per square meter. The product number is divided into special number, first number and second number. The special-size and first-size embossed paper is used for printing high-grade books, and the second-size embossed paper is mainly used for printing general books, textbooks and periodicals.
2. Newsprint paper: also known as white newspapers, the packaging form is divided into roll and plate. The weight of the newsprint paper is about 51 g, and the newsprint paper is mainly used for printing newspapers and periodicals.
3. Offset printing paper: the weight of the offset paper is 60-180 g, and the offset paper is divided into double-sided offset paper and single-sided offset paper. Wherein 70-120 g of double-sided offset paper is most widely used. The paper product numbers of the double-sided offset printing paper and the single-sided offset printing paper have three types of special numbers, first numbers and second numbers. The special number and the first number double-sided offset paper are used for printing high-grade color offset printing products; the second double-sided offset paper is used for printing a common color printing piece; the single-sided offset paper is mainly used for printing posted posters and new year pictures.
4. Coating paper: the coated paper is made by coating a layer of coating liquid on the base paper and super press finishing. The quantitative ratio is 90-250 g, and the paper is divided into a double-sided coated paper and a single-sided coated paper. The product number includes special number, first number and second number. The special coated paper is used for printing delicate products with more than 150 g of net wires; the first coated paper is used for printing products of 120-150 meshes; no. two coated papers can print products with wires below 120 grams. The coated paper is not folding resistant and is extremely difficult to recover once a crease appears.
At present, when carrying out the paper and printing, be not setting up paper selecting arrangement at the paper feed mouth, no matter what kind of paper is placed to the user, only the size is suitable, all can be sent into in the printer, however, if the paper of printing is dirty or itself belongs to black paper, the printing effect all is very poor, even need print again, has seriously influenced effect and the efficiency of printing.
In order to overcome the defects, the invention provides a parameter analysis device based on cloud computing, and the corresponding technical problem can be effectively solved.
The cloud computing-based parameter analysis device shown according to the embodiment of the invention comprises:
and the paper discarding device is positioned at the paper inlet of the printer and used for discarding the current paper which is about to enter the paper inlet when the received paper clean grade is lower than a preset grade threshold value.
Next, a specific configuration of the cloud-computing-based parameter analysis device according to the present invention will be further described.
In the cloud computing-based parameter analysis device:
the paper discarding device is used for not operating the current paper to enter the paper inlet when the received paper cleaning level is higher than or equal to the preset level threshold.
The cloud computing-based parameter analysis device may further include:
the cloud computing node is respectively connected with the paper discarding equipment and the parameter acquisition equipment through a network and is used for determining the corresponding paper cleaning grade based on the received target gray value;
the parameter acquisition equipment is connected with the rotation correction equipment and used for acquiring each gray value of each pixel point of the current correction image and sequencing each gray value to take the gray value corresponding to the central sequence number as a target gray value;
the instant snapshot device is arranged above a paper inlet of the printer and used for instantly snapshotting a scene where the paper inlet is located so as to obtain and output a corresponding instant snapshot image;
the morphology processing equipment is connected with the instant snapshot equipment and used for receiving the instant snapshot image and performing expansion processing and then corrosion processing on the instant snapshot image to obtain a morphology processing image;
the compression coding device is connected with the morphological processing device and used for receiving the morphological processing image and executing H264 compression coding processing on the morphological processing image to obtain compression coded image data;
the signal extraction device is connected with the compression coding device and is used for analyzing the data volume of the image data after compression coding so as to obtain the corresponding effective data volume of the morphological processing image;
the speed adjusting device is respectively connected with the compression coding device and the signal extracting device and is used for receiving the effective data volume, determining a data processing speed which is in direct proportion to the effective data volume based on the effective data volume and outputting the data processing speed;
the statistical sorting filtering device is respectively connected with the compression coding device and the speed adjusting device and is used for executing statistical sorting filtering processing on the received morphological processing image based on the received data processing speed so as to obtain a sorted filtering image;
the rotation correction device is respectively connected with the speed regulation device and the statistical sorting filtering device and is used for executing rotation correction processing on the received sorting filtering image based on the received data processing speed so as to obtain a current correction image;
in the cloud computing node, the larger the target gray value is, the higher the corresponding paper cleaning grade is;
wherein, in the signal extraction device, analyzing the data amount of the compression-encoded image data to obtain the effective data amount of the corresponding morphological processing image comprises: the smaller the data amount of the image data after compression coding is, the smaller the effective data amount of the corresponding morphological processing image is obtained;
and the same power supply input equipment is adopted to respectively supply power to the compression coding equipment and the signal extraction equipment.
In the cloud computing-based parameter analysis device:
the rotation correction device, the speed regulation device and the statistic sorting filtering device are respectively realized by SOC chips with different models.
The cloud computing-based parameter analysis device may further include:
and the reference data analysis device is connected with the rotation correction device and used for receiving the current correction image, identifying the shape of each target in the current correction image to obtain target blocks in which the targets in the current correction image are respectively located, performing shape fitting on each target block to obtain a square closest to the area of the target block, acquiring the side length of the square corresponding to each target block, and performing mean value calculation on each side length of the square corresponding to each target block to obtain the square with the side length equal to the mean value as the reference square.
The cloud computing-based parameter analysis device may further include:
and the data segmentation equipment is connected with the reference data analysis equipment and is used for carrying out uniform regional processing on the current correction image based on the size of the reference square so as to obtain each image region of the current correction image.
The cloud computing-based parameter analysis device may further include:
and the signal-to-noise ratio analysis equipment is connected with the data segmentation equipment and is used for receiving each image area, carrying out signal-to-noise ratio detection on each image area, setting a Butterworth filter identifier for each image area when the signal-to-noise ratio does not exceed a limit amount, and setting a Gaussian low-pass filter identifier for each image area when the signal-to-noise ratio exceeds the limit amount.
The cloud computing-based parameter analysis device may further include:
the first identification processing equipment is connected with the signal-to-noise ratio analysis equipment and is used for executing a Butterworth filtering action on an image area provided with a Butterworth filtering identification so as to obtain a filtering area corresponding to the image area;
and the second identification processing equipment is connected with the signal-to-noise ratio analysis equipment and is used for executing Gaussian low-pass filtering action on the image area provided with the Gaussian low-pass filtering identification so as to obtain a filtering area corresponding to the image area.
The cloud computing-based parameter analysis device may further include:
the region integration device is respectively connected with the parameter acquisition device, the first identifier processing device and the second identifier processing device, and is used for receiving each filtering region output by the first identifier processing device, receiving each filtering region output by the second identifier processing device, merging each filtering region output by the first identifier processing device and each filtering region output by the second identifier processing device to obtain a region integration image corresponding to the current correction image, and sending the region whole image to the parameter acquisition device in place of the current correction image;
the signal-to-noise ratio analysis equipment comprises area receiving sub-equipment, signal-to-noise ratio detection sub-equipment and identification setting sub-equipment;
wherein, in the first identification processing device, the filtering order of the Butterworth filtering action performed by the first identification processing device on the image area processed by the first identification processing device is inversely proportional to the signal-to-noise ratio of the image area processed by the first identification processing device;
in the snr analyzing device, the snr detecting sub-device is respectively connected to the area receiving sub-device and the identifier setting sub-device.
In addition, the System on Chip is called SOC for short, i.e. System on Chip. From a narrow sense, the system is the chip integration of the core of an information system, and key components of the system are integrated on one chip; in a broad sense, an SOC is a micro-miniature system, and if a Central Processing Unit (CPU) is the brain, the SOC is a system including the brain, heart, eyes, and hands. The academia at home and abroad generally tends to define the SOC as integrating a microprocessor, an analog IP core, a digital IP core and a memory (or off-chip memory control interface) on a single chip, which is usually custom-made or standard product oriented to a specific application. The basic content of the SOC definition is mainly two-fold: one is his composition and the other is his forming process. The system-level chip can be composed of a system-level chip control logic module, a microprocessor/microcontroller CPU core module, a digital signal processor DSP module, an embedded memory module, an interface module for communicating with the outside, an analog front-end module containing ADC/DAC, a power supply and power consumption management module, a radio frequency front-end module, user defined logic (which can be realized by FPGA or ASIC) and a micro-electro-mechanical module for a wireless SOC, and more importantly, a SOC chip is embedded with a basic software (RDOS or COS and other application software) module or loadable user software and the like.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature.
Although the present invention has been described with reference to the above embodiments, it should be understood by those skilled in the art that various changes may be made and equivalents may be substituted without departing from the spirit and scope of the invention. Therefore, the protection scope of the present invention should be subject to the scope defined by the claims of the present application.
Claims (3)
1. A cloud computing-based parameter resolution apparatus, the apparatus comprising:
the paper discarding device is positioned at a paper inlet of the printer and used for discarding the current paper which is about to enter the paper inlet when the received paper cleanness grade is lower than a preset grade threshold value;
the paper discarding device is used for not operating the current paper to enter the paper inlet when the received paper cleaning level is higher than or equal to the preset level threshold;
the cloud computing node is respectively connected with the paper discarding equipment and the parameter acquisition equipment through a network and is used for determining the corresponding paper cleaning grade based on the received target gray value;
the parameter acquisition equipment is connected with the rotation correction equipment and used for acquiring each gray value of each pixel point of the current correction image and sequencing each gray value to take the gray value corresponding to the central sequence number as a target gray value;
the instant snapshot device is arranged above a paper inlet of the printer and used for instantly snapshotting a scene where the paper inlet is located so as to obtain and output a corresponding instant snapshot image;
the morphology processing equipment is connected with the instant snapshot equipment and used for receiving the instant snapshot image and performing expansion processing and then corrosion processing on the instant snapshot image to obtain a morphology processing image;
the compression coding device is connected with the morphological processing device and used for receiving the morphological processing image and executing H264 compression coding processing on the morphological processing image to obtain compression coded image data;
the signal extraction device is connected with the compression coding device and is used for analyzing the data volume of the image data after compression coding so as to obtain the corresponding effective data volume of the morphological processing image;
the speed adjusting device is respectively connected with the compression coding device and the signal extracting device and is used for receiving the effective data volume, determining a data processing speed which is in direct proportion to the effective data volume based on the effective data volume and outputting the data processing speed;
the statistical sorting filtering device is respectively connected with the compression coding device and the speed adjusting device and is used for executing statistical sorting filtering processing on the received morphological processing image based on the received data processing speed so as to obtain a sorted filtering image;
the rotation correction device is respectively connected with the speed regulation device and the statistical sorting filtering device and is used for executing rotation correction processing on the received sorting filtering image based on the received data processing speed so as to obtain a current correction image;
in the cloud computing node, the larger the target gray value is, the higher the corresponding paper cleaning grade is;
wherein, in the signal extraction device, analyzing the data amount of the compression-encoded image data to obtain the effective data amount of the corresponding morphological processing image comprises: the smaller the data amount of the image data after compression coding is, the smaller the effective data amount of the corresponding morphological processing image is obtained;
and the same power supply input equipment is adopted to respectively supply power to the compression coding equipment and the signal extraction equipment.
2. The cloud-computing-based parameter resolution device of claim 1, wherein:
the rotation correction device, the speed regulation device and the statistic sorting filtering device are respectively realized by system-on-chip chips of different models.
3. The cloud-computing-based parameter resolution apparatus of claim 2, wherein the apparatus further comprises:
and the reference data analysis device is connected with the rotation correction device and used for receiving the current correction image, identifying the shape of each target in the current correction image to obtain target blocks in which the targets in the current correction image are respectively located, performing shape fitting on each target block to obtain a square closest to the area of the target block, acquiring the side length of the square corresponding to each target block, and performing mean value calculation on each side length of the square corresponding to each target block to obtain the square with the side length equal to the mean value as the reference square.
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| US6055392A (en) * | 1998-01-30 | 2000-04-25 | Moore U.S.A., Inc. | Cleaning toner from rollers and surface of business forms handling machines |
| CN101462652B (en) * | 2007-12-17 | 2011-06-15 | 金宝电子工业股份有限公司 | Paper offset sensing method and paper offset correcting method |
| KR101368918B1 (en) * | 2011-06-02 | 2014-03-25 | 후지쯔 콤포넌트 가부시끼가이샤 | Printer apparatus and method for controlling printer apparatus |
| CN107608187A (en) * | 2017-10-24 | 2018-01-19 | 贵州云侠科技有限公司 | Method for preventing copy paper contamination ink marks |
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