CN110308868B - Self-adaptive big data storage platform - Google Patents

Self-adaptive big data storage platform Download PDF

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CN110308868B
CN110308868B CN201910209363.9A CN201910209363A CN110308868B CN 110308868 B CN110308868 B CN 110308868B CN 201910209363 A CN201910209363 A CN 201910209363A CN 110308868 B CN110308868 B CN 110308868B
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image
storage
equipment
detection units
humidity
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CN110308868A (en
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钟红兵
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Wuhan Fiberhome Intergration Technologies Co., Ltd.
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WUHAN FIBERHOME INTERGRATION TECHNOLOGIES Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input 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
    • G06F3/06Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
    • G06F3/0601Interfaces specially adapted for storage systems
    • G06F3/0602Interfaces specially adapted for storage systems specifically adapted to achieve a particular effect
    • G06F3/0604Improving or facilitating administration, e.g. storage management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input 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
    • G06F3/06Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
    • G06F3/0601Interfaces specially adapted for storage systems
    • G06F3/0628Interfaces specially adapted for storage systems making use of a particular technique
    • G06F3/0629Configuration or reconfiguration of storage systems
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration
    • G06T5/70Denoising; Smoothing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration
    • G06T5/73Deblurring; Sharpening
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/194Segmentation; Edge detection involving foreground-background segmentation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10024Color image

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Human Computer Interaction (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Image Processing (AREA)

Abstract

The invention relates to self-adaptive data storage platforms, which comprise a storage selection device used for sequencing the storage priority of each current storage device type so as to store the data of each storage device corresponding to each current storage device type respectively according to the sequence of the storage priority when the subsequent computer stores the data.

Description

Self-adaptive big data storage platform
Technical Field
The invention relates to the field of computers, in particular to an self-adaptive big data storage platform.
Background
The computer is commonly called computer, is a modern kinds of electronic computing machines for high-speed computation, can perform numerical computation and logic computation, and also has the function of storage and memory.
A computer is composed of a hardware system and a software system, and a computer without any software installed is called a bare computer. Computers can be classified into supercomputers, industrial control computers, network computers, personal computers, and embedded computers, and more advanced computers include biological computers, photon computers, quantum computers, and the like.
The computer inventor, John, von Neumann, is of the most advanced scientific technology invention in the 20 th century, has extremely important influence on the production activity and social activity of human beings, and develops rapidly with strong vitality.
Disclosure of Invention
The invention needs to have the following three key invention points:
(1) the method comprises the steps of detecting the types of storage equipment currently inserted or placed in a computer case to obtain the types of the current storage equipment, and sequencing the storage priorities of the current storage equipment types, so that when a subsequent computer stores data, the data storage of the storage equipment corresponding to the current storage equipment types is carried out according to the sequence of the storage priorities, and the self-adaptive level of the data storage of the computer is improved;
(2) on the basis of high-precision image processing, sorting the storage priority of each current storage equipment type according to the shell damage degree of each current storage equipment;
(3) and adopting a self-adaptive filtering strategy for the image according to the specific content of the image so as to reduce the operation amount of image processing while ensuring the filtering effect.
According to aspect of the invention, kinds of adaptive data storage platforms are provided, wherein each platform comprises a full-color camera which is arranged in a case of a computer and is used for carrying out full-range camera shooting operation on the case so as to obtain and output a corresponding full-range case image.
More specifically, in the adaptive data storage platform, the method further comprises: and the auxiliary lighting equipment is arranged in the case of the computer, is positioned near the full-color camera and is used for providing auxiliary lighting light for the camera shooting of the full-color camera.
More specifically, the self-adaptive data storage platform further comprises a storage selection device used for receiving each current storage device type and sorting the storage priority of each current storage device type, so that when a subsequent computer stores data, the data storage of each storage device corresponding to each current storage device type is carried out according to the sequence of the storage priority, when the subsequent computer stores data, the data storage of each storage device corresponding to each current storage device type is carried out according to the sequence of the storage priority, the data storage of storage devices with sequence numbers is started after the storage space of the storage device with the former sequence number is slow, when the subsequent computer stores data, the data storage of each storage device corresponding to each current storage device type is carried out according to the sequence of the storage priority, the storage device with the sequence number of the storage priority being 1 is used as the storage device storing the data at the earliest, when the subsequent computer stores data, the storage device storing the data of each storage device corresponding to each current storage device type is used for identifying the pixel point of the current storage device type and the pixel point of the current storage device type of the current storage device, and the pixel point of the current storage device is used for stripping off the pixel point of the current image from the current image, and the pixel point of the current image in the current storage device, and the current image receiving machine case, and the pixel point of the current image receiving machine case are used for identifying the pixel point of the current case, and the pixel point of the current case are used for identifying the pixel point of the current case.
The self-adaptive data storage platform is effective in control and ordered in storage. The types of the storage devices inserted or placed currently in the computer case are detected to obtain the types of the current storage devices, and the storage priorities of the current storage device types are sorted according to the device damage degree, so that when the data are stored in the subsequent computer, the data of the storage devices corresponding to the current storage device types are stored according to the storage priorities, and the self-adaptive level of the data storage of the computer is improved.
Detailed Description
Embodiments of the present invention will be described in detail below.
The data storage object comprises temporary files generated in the processing process of the data stream or information needing to be searched in the processing process. Data is recorded in a certain format on a storage medium inside or outside the computer. The data store is named, which is to reflect the constituent meaning of the information features. The data flow reflects data flowing in the system and shows the characteristics of dynamic data; the data store reflects data that is static in the system, characterizing static data.
Magnetic disks and tapes are common storage media. The organization of data storage varies from storage medium to storage medium. Data is only accessed in a sequential file manner on the magnetic tape; the magnetic disk can adopt a sequential access mode or a direct access mode according to the use requirement. The data storage mode is closely related to the organization of data files, and the key point is to establish the corresponding relation between the recorded logic and physical sequence and determine the storage address so as to improve the data access speed.
At present, various memory cards or memories are often inserted into a computer, especially an industrial control computer, but the data storage sequence of storage equipment after data arrival is not set, so that the data storage is not in a rule and can be circulated under a complex storage environment, and the storage priority of each current storage equipment type is not ordered according to the damage degree of the equipment.
In order to overcome the defects, self-adaptive data storage platforms are built, and the corresponding technical problems can be effectively solved.
An adaptive data storage platform according to an embodiment of the present invention is shown comprising:
the full-color camera is arranged in a case of the computer and used for carrying out whole-course camera shooting operation on the case so as to obtain and output a corresponding whole-course case image.
Next, the description proceeds to step for a specific architecture of the adaptive data storage platform of the present invention.
The adaptive data storage platform may further include:
and the auxiliary lighting equipment is arranged in the case of the computer, is positioned near the full-color camera and is used for providing auxiliary lighting light for the camera shooting of the full-color camera.
The adaptive data storage platform may further include:
the storage selection device is used for receiving each current storage device type, sequencing the storage priority of each current storage device type and storing the data of each storage device corresponding to each current storage device type according to the storage priority when the data is stored in the subsequent computer;
in the storage selection equipment, when a subsequent computer stores data, the data storage of each storage equipment corresponding to each current storage equipment type is carried out according to the sequence of the storage priority, wherein the data storage of the storage equipment with the next serial numbers is started after the storage space of the storage equipment with the previous serial number is slow;
in the storage selection device, when the subsequent computer stores data, the data storage of each storage device corresponding to each current storage device type according to the sequence of the storage priority includes: taking the storage equipment corresponding to the sequence number 1 of the storage priority as the storage equipment for storing data firstly;
in the storage selection device, the sorting of the storage priority of each current storage device type includes: sorting the storage priority of each current storage equipment type according to the shell damage degree of each current storage equipment;
the foreground stripping equipment is connected with the full-color camera and used for receiving the whole-process case image, taking pixel points of the whole-process case image with gray values between a foreground upper limit gray value and a foreground lower limit gray value as foreground pixel points, and forming a field foreground image corresponding to the whole-process case image based on the foreground pixel points in the whole-process case image;
the target identification device is connected with the foreground stripping device and used for receiving the field foreground image, identifying each target occupying the pixels with the number exceeding the number limit in the field foreground image and outputting the number of each target as the number of the field targets;
the sharpening execution device is connected with the target identification device and is used for entering an operation state from a sleep state to receive the whole chassis image and carrying out real-time sharpening on the whole chassis image to obtain a corresponding real-time sharpened image when the number of the received field targets is greater than the preset number threshold;
the sharpening execution equipment is further used for entering a dormant state from an operating state and stopping receiving the whole chassis image when the number of the received field targets is smaller than or equal to a preset number threshold;
the image decomposition device is connected with the sharpening execution device and is used for receiving the real-time sharpened image, obtaining cyan brightness values, magenta brightness values, yellow brightness values and black channel values of all pixel points in the real-time sharpened image, obtaining th channel images based on the cyan channel values of all the pixel points, obtaining second channel images based on the magenta channel values of all the pixel points, obtaining third channel images based on the yellow channel values of all the pixel points and obtaining fourth channel images based on the black channel values of all the pixel points;
a filter execution device, connected to the image decomposition device, configured to execute maximum filter processing on the third channel image to obtain a filter processed image, and superimpose the th channel image, the second channel image, the fourth channel image, and the filter processed image to obtain a filter processed image;
the homomorphic filtering equipment is connected with the filtering execution equipment and is used for receiving the filtering processing image and executing homomorphic filtering processing on the filtering processing image so as to obtain and output a re-filtering image;
the type extraction device is connected with the homomorphic filtering device and is used for matching the re-filtered image with each storage device reference profiles to obtain each storage device type existing in the re-filtered image as each current storage device type;
the damage detection device is connected with the type extraction device and used for carrying out similarity comparison on the area where each kinds of storage devices exist in the re-filtered image and the corresponding storage device reference outline, and determining the shell damage degree of the re-filtered image based on the comparison result;
in the damage detection device, the similarity comparison is carried out on the area where each storage devices exist in the re-filtered image and the corresponding storage device reference profile, and the shell damage degree of the damage detection device is determined based on the comparison result comprises that the higher the similarity is, the lower the corresponding shell damage degree is.
In the adaptive data storage platform:
the image decomposition device, the filtering execution device and the homomorphic filtering device share the same timing clock;
the image decomposition equipment, the filtering execution equipment and the homomorphic filtering equipment are respectively realized by adopting different programmable logic devices.
The adaptive data storage platform may further include:
the humidity detection units are respectively arranged inside the homomorphic filter equipment, the arrangement shape of the humidity detection units inside the homomorphic filter equipment is matched with the appearance of the homomorphic filter equipment, and each humidity detection units are used for sensing the humidity at the position where the humidity detection units are located so as to output the humidity as real-time humidity;
the temperature detection units are respectively arranged in the type extraction equipment, the arrangement shape of the temperature detection units in the type extraction equipment is matched with the shape of the type extraction equipment, and every temperature detection units are used for sensing the temperature of the position where the temperature detection units are located to serve as real-time temperature output;
the humidity analysis equipment is respectively connected with the humidity detection units and used for receiving the real-time humidities output by the humidity detection units and performing weighted average operation on the real-time humidities to obtain an internal humidity reference value;
the temperature analysis equipment is respectively connected with the plurality of temperature detection units and used for receiving the plurality of real-time temperatures respectively output by the plurality of temperature detection units and performing weighted average operation on the plurality of real-time temperatures to obtain an internal temperature reference value;
the voice playing device is respectively connected with the temperature analysis device and the humidity analysis device, and is used for receiving the internal temperature reference value and the internal humidity reference value and carrying out real-time voice playing on the internal temperature reference value and the internal humidity reference value;
wherein the arrangement shape of the plurality of temperature detection units in the type extraction device is matched with the external shape of the type extraction device, and the method comprises the steps of respectively arranging corresponding temperature detection units at the centroid position and every vertex positions of the external shape of the type extraction device;
wherein the arrangement shape of the plurality of humidity detection units in the homomorphic filter device is matched with the appearance of the homomorphic filter device, and corresponding humidity detection units are respectively arranged at the centroid position and every vertex positions of the appearance of the homomorphic filter device.
The adaptive data storage method according to the embodiment of the invention comprises the following steps:
the full-color camera is arranged in a case of the computer and used for carrying out whole-course camera shooting operation on the case so as to obtain and output a corresponding whole-course case image.
Next, the description proceeds to step for a specific step of the adaptive data storage method of the present invention.
The self-adaptive data storage method comprises the following steps:
and the auxiliary lighting equipment is arranged in the case of the computer and positioned near the full-color camera and used for providing auxiliary lighting rays for the camera shooting of the full-color camera.
The adaptive data storage method may further include:
the storage selection equipment is used for receiving each current storage equipment type and sequencing the storage priority of each current storage equipment type so as to store the data of each storage equipment corresponding to each current storage equipment type respectively according to the sequence of the storage priority when the data are stored in a subsequent computer;
in the storage selection equipment, when a subsequent computer stores data, the data storage of each storage equipment corresponding to each current storage equipment type is carried out according to the sequence of the storage priority, wherein the data storage of the storage equipment with the next serial numbers is started after the storage space of the storage equipment with the previous serial number is slow;
in the storage selection device, when the subsequent computer stores data, the data storage of each storage device corresponding to each current storage device type according to the sequence of the storage priority includes: taking the storage equipment corresponding to the sequence number 1 of the storage priority as the storage equipment for storing data firstly;
in the storage selection device, the sorting of the storage priority of each current storage device type includes: sorting the storage priority of each current storage equipment type according to the shell damage degree of each current storage equipment;
using foreground stripping equipment, connected with the full-color camera, for receiving the whole-process chassis image, taking pixel points of the whole-process chassis image with gray values between a foreground upper limit gray value and a foreground lower limit gray value as foreground pixel points, and forming a field foreground image corresponding to the whole-process chassis image based on each foreground pixel point in the whole-process chassis image;
using target identification equipment, connecting with the foreground stripping equipment, and receiving the field foreground image, identifying each target occupying pixel points in the field foreground image, and outputting the number of each target as the number of the field targets;
using a sharpening execution device connected with the target identification device and used for entering an operation state from a sleep state to receive the whole chassis image and carrying out real-time sharpening on the whole chassis image to obtain a corresponding real-time sharpened image when the number of received field targets is greater than the preset number threshold;
the sharpening execution equipment is further used for entering a dormant state from an operating state and stopping receiving the whole chassis image when the number of the received field targets is smaller than or equal to a preset number threshold;
using an image decomposition device, connected to the sharpening execution device, for receiving the real-time sharpened image, obtaining a cyan brightness value, a magenta brightness value, a yellow brightness value, and a black channel value of each pixel point in the real-time sharpened image, obtaining an th channel image based on the cyan channel value of each pixel point, obtaining a second channel image based on the magenta channel value of each pixel point, obtaining a third channel image based on the yellow channel value of each pixel point, and obtaining a fourth channel image based on the black channel value of each pixel point;
using a filter execution device, connected to the image decomposition device, for executing maximum filter processing on the third channel image to obtain a filter processed image, and superimposing the th channel image, the second channel image, the fourth channel image, and the filter processed image to obtain a filter processed image;
using homomorphic filtering equipment, connected with the filtering execution equipment, and used for receiving the filtering processing image and executing homomorphic filtering processing on the filtering processing image so as to obtain and output a re-filtering image;
using a type extraction device connected to the homomorphic filtering device for matching the re-filtered image with each storage device reference profiles to obtain respective storage device types present in the re-filtered image as respective current storage device types;
using damage detection equipment, connected with the type extraction equipment, for performing similarity comparison on the region where each kinds of storage equipment exist in the re-filtered image and the corresponding storage equipment reference profile, and determining the shell damage degree of the re-filtered image based on the comparison result;
in the damage detection device, the similarity comparison is carried out on the area where each storage devices exist in the re-filtered image and the corresponding storage device reference profile, and the shell damage degree of the damage detection device is determined based on the comparison result comprises that the higher the similarity is, the lower the corresponding shell damage degree is.
The self-adaptive data storage method comprises the following steps:
the image decomposition device, the filtering execution device and the homomorphic filtering device share the same timing clock;
the image decomposition equipment, the filtering execution equipment and the homomorphic filtering equipment are respectively realized by adopting different programmable logic devices.
The adaptive data storage method may further include:
the humidity detection units are respectively arranged in the homomorphic filter equipment, the arrangement shape of the humidity detection units in the homomorphic filter equipment is matched with the appearance of the homomorphic filter equipment, and each humidity detection units are used for sensing the humidity at the position of the humidity detection unit to serve as real-time humidity output;
the temperature detection units are respectively arranged in the type extraction equipment, the arrangement shape of the temperature detection units in the type extraction equipment is matched with the shape of the type extraction equipment, and every temperature detection units are used for sensing the temperature of the positions of the temperature detection units to be output as real-time temperature;
the humidity analysis equipment is respectively connected with the humidity detection units and used for receiving the real-time humidities output by the humidity detection units and performing weighted average operation on the real-time humidities to obtain an internal humidity reference value;
the temperature analysis equipment is respectively connected with the plurality of temperature detection units and used for receiving a plurality of real-time temperatures respectively output by the plurality of temperature detection units and carrying out weighted average operation on the plurality of real-time temperatures to obtain an internal temperature reference value;
using voice playing equipment which is respectively connected with the temperature analysis equipment and the humidity analysis equipment and is used for receiving the internal temperature reference value and the internal humidity reference value and carrying out real-time voice playing on the internal temperature reference value and the internal humidity reference value;
wherein the arrangement shape of the plurality of temperature detection units in the type extraction device is matched with the external shape of the type extraction device, and the method comprises the steps of respectively arranging corresponding temperature detection units at the centroid position and every vertex positions of the external shape of the type extraction device;
wherein the arrangement shape of the plurality of humidity detection units in the homomorphic filter device is matched with the appearance of the homomorphic filter device, and corresponding humidity detection units are respectively arranged at the centroid position and every vertex positions of the appearance of the homomorphic filter device.
In addition, the image filtering mode adopted by the homomorphic filtering device suppresses the noise of the target image under the condition of keeping the detail features of the image as much as possible, is an indispensable operation in image preprocessing, and the effectiveness and reliability of subsequent image processing and analysis are directly influenced by the quality of the processing effect.
The noise is usually represented on the image as isolated pixel points or pixel blocks causing strong visual effect, , the noise signal is irrelevant to the object to be researched and appears in a useless information form, thus disturbing the observable information of the image, for the digital image signal, the noise table is more or less extreme values, and the extreme values act on the real gray value of the image pixel through addition and subtraction, so as to cause bright and dark point interference on the image, greatly reduce the image quality, influence the subsequent work of image restoration, segmentation, feature extraction, image identification and the like.
of the commonly used image filtering modes are nonlinear filters, , and when the signal spectrum and the noise spectrum are mixed or when the signal contains non-superimposed noise, such as noise caused by system nonlinearity or the existence of non-gaussian noise, etc.), the conventional linear filtering technology, such as fourier transform, always blurs the image details (such as edges, etc.) in some way while filtering the noise, thereby reducing the positioning accuracy of the linear features and the extractability of the features, and the nonlinear filter is based on nonlinear mapping relations to the input signal, and can map some specific noise to be approximately zero and reserve the essential features of the signal, so that the deficiency of the linear filter can be overcome to degree.
Finally, it should be noted that the functional devices in the embodiments of the present invention may be integrated into processing devices, or each device may exist alone physically, or two or more devices may be integrated into devices.
It should be understood that the technical solution of the present invention, in essence or a part contributing to the prior art, or a part of the technical solution, may be embodied in the form of a software product, which is stored in storage media and includes several instructions for making computer devices (which may be personal computers, servers, or network devices) execute all or part of the steps of the method according to the embodiments of the present invention.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (3)

  1. An adaptive data storage platform of the type , said platform comprising:
    the full-color camera is arranged in a case of the computer and used for carrying out whole-course camera shooting operation on the case so as to obtain and output a corresponding whole-course case image;
    the auxiliary lighting equipment is arranged in a case of the computer, is positioned near the full-color camera and is used for providing auxiliary lighting rays for the camera shooting of the full-color camera;
    the storage selection device is used for receiving each current storage device type, sequencing the storage priority of each current storage device type and storing the data of each storage device corresponding to each current storage device type according to the storage priority when the data is stored in the subsequent computer;
    in the storage selection equipment, when a subsequent computer stores data, the data storage of each storage equipment corresponding to each current storage equipment type is carried out according to the sequence of the storage priority, wherein the data storage of the storage equipment with the next serial numbers is started after the storage space of the storage equipment with the previous serial number is slow;
    in the storage selection device, when the subsequent computer stores data, the data storage of each storage device corresponding to each current storage device type according to the sequence of the storage priority includes: taking the storage equipment corresponding to the sequence number 1 of the storage priority as the storage equipment for storing data firstly;
    in the storage selection device, the sorting of the storage priority of each current storage device type includes: sorting the storage priority of each current storage equipment type according to the shell damage degree of each current storage equipment;
    the foreground stripping equipment is connected with the full-color camera and used for receiving the whole-process case image, taking pixel points of the whole-process case image with gray values between a foreground upper limit gray value and a foreground lower limit gray value as foreground pixel points, and forming a field foreground image corresponding to the whole-process case image based on the foreground pixel points in the whole-process case image;
    the target identification device is connected with the foreground stripping device and used for receiving the field foreground image, identifying each target occupying the pixels with the number exceeding the number limit in the field foreground image and outputting the number of each target as the number of the field targets;
    the sharpening execution device is connected with the target identification device and is used for entering an operation state from a dormant state to receive the whole chassis image and carrying out real-time sharpening on the whole chassis image to obtain a corresponding real-time sharpened image when the number of received field targets is greater than a preset number threshold;
    the sharpening execution equipment is further used for entering a dormant state from an operating state and stopping receiving the whole chassis image when the number of the received field targets is smaller than or equal to a preset number threshold;
    the image decomposition device is connected with the sharpening execution device and is used for receiving the real-time sharpened image, obtaining cyan brightness values, magenta brightness values, yellow brightness values and black channel values of all pixel points in the real-time sharpened image, obtaining th channel images based on the cyan channel values of all the pixel points, obtaining second channel images based on the magenta channel values of all the pixel points, obtaining third channel images based on the yellow channel values of all the pixel points and obtaining fourth channel images based on the black channel values of all the pixel points;
    a filter execution device, connected to the image decomposition device, configured to execute maximum filter processing on the third channel image to obtain a filter processed image, and superimpose the th channel image, the second channel image, the fourth channel image, and the filter processed image to obtain a filter processed image;
    the homomorphic filtering equipment is connected with the filtering execution equipment and is used for receiving the filtering processing image and executing homomorphic filtering processing on the filtering processing image so as to obtain and output a re-filtering image;
    the type extraction device is connected with the homomorphic filtering device and is used for matching the re-filtered image with each storage device reference profiles to obtain each storage device type existing in the re-filtered image as each current storage device type;
    the damage detection device is connected with the type extraction device and used for carrying out similarity comparison on the area where each kinds of storage devices exist in the re-filtered image and the corresponding storage device reference outline, and determining the shell damage degree of the re-filtered image based on the comparison result;
    in the damage detection device, the similarity comparison is carried out on the area where each storage devices exist in the re-filtered image and the corresponding storage device reference profile, and the shell damage degree of the damage detection device is determined based on the comparison result comprises that the higher the similarity is, the lower the corresponding shell damage degree is.
  2. 2. The adaptive data storage platform of claim 1, wherein:
    the image decomposition device, the filtering execution device and the homomorphic filtering device share the same timing clock;
    the image decomposition equipment, the filtering execution equipment and the homomorphic filtering equipment are respectively realized by adopting different programmable logic devices.
  3. 3. The adaptive data storage platform of claim 2, wherein the platform further comprises:
    the humidity detection units are respectively arranged inside the homomorphic filter equipment, the arrangement shape of the humidity detection units inside the homomorphic filter equipment is matched with the appearance of the homomorphic filter equipment, and each humidity detection units are used for sensing the humidity at the position where the humidity detection units are located so as to output the humidity as real-time humidity;
    the temperature detection units are respectively arranged in the type extraction equipment, the arrangement shape of the temperature detection units in the type extraction equipment is matched with the shape of the type extraction equipment, and every temperature detection units are used for sensing the temperature of the position where the temperature detection units are located to serve as real-time temperature output;
    the humidity analysis equipment is respectively connected with the humidity detection units and used for receiving the real-time humidities output by the humidity detection units and performing weighted average operation on the real-time humidities to obtain an internal humidity reference value;
    the temperature analysis equipment is respectively connected with the plurality of temperature detection units and used for receiving the plurality of real-time temperatures respectively output by the plurality of temperature detection units and performing weighted average operation on the plurality of real-time temperatures to obtain an internal temperature reference value;
    the voice playing device is respectively connected with the temperature analysis device and the humidity analysis device, and is used for receiving the internal temperature reference value and the internal humidity reference value and carrying out real-time voice playing on the internal temperature reference value and the internal humidity reference value;
    wherein the arrangement shape of the plurality of temperature detection units in the type extraction device is matched with the external shape of the type extraction device, and the method comprises the steps of respectively arranging corresponding temperature detection units at the centroid position and every vertex positions of the external shape of the type extraction device;
    wherein the arrangement shape of the plurality of humidity detection units in the homomorphic filter device is matched with the appearance of the homomorphic filter device, and corresponding humidity detection units are respectively arranged at the centroid position and every vertex positions of the appearance of the homomorphic filter device.
CN201910209363.9A 2019-03-19 2019-03-19 Self-adaptive big data storage platform Active CN110308868B (en)

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