CN111797952B - Intelligent plasma quality judging and reading instrument and quality detection method thereof - Google Patents

Intelligent plasma quality judging and reading instrument and quality detection method thereof Download PDF

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CN111797952B
CN111797952B CN202010519348.7A CN202010519348A CN111797952B CN 111797952 B CN111797952 B CN 111797952B CN 202010519348 A CN202010519348 A CN 202010519348A CN 111797952 B CN111797952 B CN 111797952B
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image
quality
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CN111797952A (en
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肖汉族
陈建军
曹希文
郑华章
张瑞凯
肖利祥
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Nanyue Biopharming Corp ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06KGRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K17/00Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
    • G06K17/0022Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device
    • G06K17/0025Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device the arrangement consisting of a wireless interrogation device in combination with a device for optically marking the record carrier
    • 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
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/40Analysis of texture
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/90Determination of colour characteristics
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof

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Abstract

The invention belongs to the technical field of plasma quality detection and discloses an intelligent plasma quality interpretation instrument and a quality detection method thereof. According to the invention, the image acquisition module is used for acquiring the plasma image, so that the chylomemia, the clot and the floccule existing in the plasma can be detected at fixed time to judge whether the plasma quality meets the standard, if the plasma quality does not meet the standard, an alarm is output, and the human intervention is needed, so that the intelligent automatic detection of the plasma quality is realized, and the storage safety of the plasma is improved; and the detection result can be uploaded to a remote monitoring terminal in real time through the data uploading module, so that the remote monitoring terminal can be used for remote supervision, and the post-tracing is convenient.

Description

Intelligent plasma quality judging and reading instrument and quality detection method thereof
Technical Field
The invention belongs to the technical field of plasma quality detection, and particularly relates to an intelligent plasma quality judging and reading instrument and a quality detection method thereof.
Background
Currently, national regulations clearly dictate that blood collection institutions and clinical transfusion departments must visually inspect the appearance of in-and-out warehouse plasma at brightly lit spots. But the light is bright and the visual inspection is very random. The lack of quantization standard can not truly record the visual inspection process and result, and further can not trace the source after the fact. Meanwhile, due to uneven experience and level of practitioners, the quality detection of the appearance of the plasma lacks a unified standard, and serious chylomemia, coagulum, floccule, hemolysis or bacterial pollution and the like possibly occurring in the processes of collecting, preparing and storing the plasma can cause serious transfusion accidents and harm the life health of a recipient. Therefore, at the last quality gate, the appearance quality of the plasma in the warehouse needs to be accurately and efficiently detected, so that serious blood transfusion accidents can be reduced and avoided.
Through the above analysis, the problems and defects existing in the prior art are as follows:
(1) The accuracy of the detection result cannot be ensured by manually observing the blood plasma entering and exiting the warehouse in a visual way.
(2) The detection results of the blood plasma cannot be uploaded and stored before the blood plasma is delivered and operated, and the post-hoc traceability cannot be performed.
Disclosure of Invention
Aiming at the problems existing in the prior art, the invention provides an intelligent plasma quality judging and reading instrument and a quality detection method thereof.
The invention is realized in such a way that an intelligent plasma quality detection method comprises the following steps:
scanning and identifying the bar code stuck on the surface of the plasma by a code scanner, and extracting the corresponding attribute information of the bar code;
the bar code attribute information extraction method comprises the following steps:
(1) Searching a plurality of bar code rules matched with the bar codes in a pre-stored bar code rule database, and generating a rule set according to the plurality of bar code rules;
(2) Acquiring a specified feature code of the identification attribute information of the bar code, and screening bar code rules corresponding to the specified feature code from the rule set;
(3) According to the selected bar code rule, combining the position of the appointed feature code and the information of the appointed feature code to obtain a plurality of subcodes carrying different attribute information;
(4) Acquiring information carried by the plurality of subcodes, judging whether the information carried by the subcodes meets a preset rule, and discarding the bar code rule corresponding to the subcode which does not meet the preset rule if the information does not meet the preset rule; if the preset rule is met, generating an information set from information carried by the subcodes;
(5) Searching information corresponding to the information in the information set from a pre-stored database, namely the bar code attribute information;
step two, placing the plasma on a light-transmitting supporting plate of the supporting module, collecting pressure data by a pressure sensor in the middle of the light-transmitting supporting plate, and transmitting collected information to a central processing unit;
thirdly, performing illumination compensation through the led light supplementing lamp, acquiring image information of plasma by utilizing a CCD camera, and transmitting the acquired image to a central processing unit;
step four, the central processing unit converts the collected color image of the blood plasma into a gray image, and median filtering processing is carried out on the gray image, so that noise reduction and restoration of the image under the condition of edge fidelity are realized;
step five, carrying out enhancement processing on the filtered image according to the local pixel information and the whole pixel information of the filtered image after the filtering processing to generate an enhanced image;
step six, generating a class gradient map according to the enhanced image, and performing binarization processing on the class gradient map to generate a binary image;
step seven, comparing the generated binary image with pre-stored information of a storage module, judging the quality of plasma, and judging whether the weight of the plasma is qualified or not by comparing the acquired pressure information with the extracted corresponding attribute information of the bar code;
step eight, voice broadcasting is carried out on the processing result through a voice player, and when the processing result is abnormal, an alarm is given at the same time;
and step nine, packaging the processing result into data through a data uploading module, and uploading the data to a remote monitoring terminal for storage and recording.
Further, the corresponding attribute information of the bar code comprises the weight, the warehouse-in time, the blood type, the blood plasma category and the cross matching condition of the blood plasma.
In a seventh step, comparing the generated binary image with pre-stored information of the storage module, and determining the quality of the plasma includes:
1) Extracting the characteristics of the generated binary image and generating a corresponding characteristic image;
2) Obtaining a plasma standard characteristic image from a database;
3) Calculating the similarity between the generated plasma characteristic image and the plasma standard characteristic image;
4) And judging the plasma quality based on the similarity calculation result, wherein the higher the similarity is, the higher the plasma quality is.
Further, in step 1), the image features include color distribution, structure, and texture image features.
Another object of the present invention is to provide an intelligent plasma quality arbiter for implementing the intelligent plasma quality detection method, the intelligent plasma quality arbiter comprising:
the storage module is connected with the data acquisition and control module and is used for storing preset information and acquired information through the memory;
the identification code scanning module is connected with the data acquisition and control module and is used for scanning and identifying the bar code stuck on the surface of the plasma through the code scanner;
the image acquisition module is connected with the data acquisition and control module and is used for acquiring image information of the plasma through the CCD camera;
the bearing module is connected with the data acquisition and control module and is used for bearing and supporting the plasma through the light-transmitting bearing plate;
the pressure detection module is connected with the data acquisition and control module and is used for detecting the weight of the blood plasma through a pressure sensor embedded in the middle of the light-transmitting bearing plate;
the man-machine interaction module is connected with the data acquisition and control module and used for displaying acquired information and processed information through a man-machine interaction interface and performing man-machine interaction operation;
the data uploading module is connected with the data acquisition and control module and is used for carrying out data packing uploading on the acquired information and the processing result through the signal transmission device;
the voice broadcasting module is connected with the data acquisition and control module and is used for broadcasting the processing result through a voice player;
the warning module is connected with the data acquisition and control module and used for giving an alarm through an alarm when abnormal information is detected;
the data acquisition and control module is connected with the storage module, the identification code scanning module, the image acquisition module, the bearing module, the pressure detection module, the man-machine interaction module, the data uploading module, the voice broadcasting module and the warning module, and is used for receiving and processing acquired information through the central processing unit, generating corresponding control instructions according to preset instructions and processing results and carrying out coordinated control on the work of each module.
Further, the identification code scanning module includes:
the scanning unit is used for scanning the bar code through the code scanner;
the identification unit is used for screening the information prestored in the storage module according to the scanning information of the bar code;
the extraction unit is used for extracting the information corresponding to the screened bar codes and sending the extracted information to the data acquisition and control module.
Further, the image acquisition module includes:
the CCD camera unit is used for acquiring image information through the CCD camera;
the illumination compensation unit is used for carrying out illumination compensation when the CCD camera is used for carrying out image acquisition through the led light supplementing lamp;
and the data transmission unit is used for transmitting the image information acquired by the CCD camera to the data acquisition and control module.
Further, the data acquisition and control module includes:
the parameter configuration unit is used for carrying out preset input on control parameters through the input device;
the data receiving unit is used for receiving the acquired data of the plurality of parameter collecting devices;
the image preprocessing unit is used for carrying out gray level and definition processing on the acquired image of the blood plasma;
the data processing unit is used for comparing the preprocessed image with pre-stored information of the storage module, judging the quality of the blood plasma, and judging whether the weight of the blood plasma is qualified or not through the collected pressure information;
and the control instruction generation unit is used for generating a control instruction according to the preset parameters and the processing result information and transmitting the control instruction to the corresponding controlled device.
It is a further object of the present invention to provide a computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface for implementing said intelligent plasma quality detection method when executed on an electronic device.
It is another object of the present invention to provide a computer readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the intelligent plasma quality detection method.
By combining all the technical schemes, the invention has the advantages and positive effects that:
according to the invention, the image acquisition module is used for acquiring the plasma image to obtain a layered interface image of the plasma, and then the layered interface image is compared and analyzed with the image prestored in the storage module, so that chylomemia, coagulum and floccule existing in the plasma can be detected at a time to judge whether the plasma quality meets the standard, if the plasma quality does not meet the standard, an alarm is output, and the human intervention is needed, so that the intelligent automatic detection of the plasma quality is realized, the storage safety of the plasma is improved, and the medical accident rate is reduced; and the detection result can be uploaded to a remote monitoring terminal in real time through the data uploading module, so that the remote monitoring terminal can be used for remote supervision, and the post-tracing is convenient.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following description will briefly explain the drawings needed in the embodiments of the present application, and it is obvious that the drawings described below are only some embodiments of the present application, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of an intelligent plasma quality detection method according to an embodiment of the present invention.
FIG. 2 is a schematic diagram of an intelligent plasma quality monitor according to an embodiment of the present invention;
in the figure: 1. a storage module; 2. an identification code scanning module; 3. an image acquisition module; 4. a bearing module; 5. a pressure detection module; 6. a man-machine interaction module; 7. a data uploading module; 8. a voice broadcasting module; 9. a warning module; 10. and the data acquisition and control module.
FIG. 3 is a schematic diagram of an identification code scanning module according to an embodiment of the present invention;
in the figure: 21. a scanning unit; 22. an identification unit; 23. and an extraction unit.
Fig. 4 is a schematic structural diagram of an image acquisition module according to an embodiment of the present invention;
in the figure: 31. a CCD camera unit; 32. an illumination compensation unit; 33. and a data transmission unit.
FIG. 5 is a schematic diagram of a data acquisition and control module according to an embodiment of the present invention;
in the figure: 11. a parameter configuration unit; 12. a data receiving unit; 13. an image preprocessing unit; 14. a data processing unit; 15. and a control instruction generation unit.
Detailed Description
The present invention will be described in further detail with reference to the following examples in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Aiming at the problems existing in the prior art, the invention provides an intelligent plasma quality judging and reading instrument and a quality detection method thereof, and the invention is described in detail below with reference to the accompanying drawings.
As shown in fig. 1, the intelligent plasma quality detection method provided by the embodiment of the invention specifically includes the following steps:
s101, scanning and identifying the bar code stuck on the surface of the plasma product by a code scanner, and extracting the corresponding attribute information of the bar code.
S102, placing plasma on a light-transmitting supporting plate of the supporting module, and collecting pressure data by a pressure sensor in the middle of the light-transmitting supporting plate and transmitting collected information to a central processing unit.
S103, illumination compensation is carried out through the led light supplementing lamp, the CCD camera collects image information of plasma, and collected images are transmitted to the central processing unit.
S104, the central processing unit preprocesses the collected plasma image, compares the preprocessed image with the pre-stored information of the storage module, judges the quality of the plasma, and judges whether the weight of the plasma is qualified or not by comparing the collected pressure information with the extracted corresponding attribute information of the bar code.
S105, performing voice broadcasting on the processing result through a voice player, and alarming through an alarm when the processing result is abnormal.
S106, the processing result is subjected to data packaging through a data uploading module and uploaded to a remote monitoring terminal for storage and recording.
The corresponding attribute information of the bar code in the embodiment of the invention comprises the weight, the warehouse-in time, the blood type, the blood plasma category and the cross matching condition of the blood plasma.
In step S101, the method for extracting attribute information of a barcode according to the embodiment of the present invention includes:
(1) Searching a plurality of bar code rules matched with the bar codes in a pre-stored bar code rule database, and generating a rule set according to the plurality of bar code rules.
(2) And obtaining the appointed feature codes of the attribute information identified in the bar codes, and screening bar code rules corresponding to the appointed feature codes from the rule set.
(3) And according to the selected bar code rule, combining the position of the appointed feature code and the information of the appointed feature code to obtain a plurality of subcodes carrying different attribute information.
(4) Acquiring information carried by the plurality of subcodes to generate an information set; and searching attribute information corresponding to the information in the information set from a pre-stored database.
In step S104, the method for preprocessing an image of plasma provided by the embodiment of the present invention includes:
firstly, converting an acquired color image into a gray image, and carrying out median filtering treatment on the gray image to realize noise reduction and restoration of the image under the condition of edge fidelity.
And carrying out enhancement processing on the filtered image according to the local pixel information and the whole pixel information of the filtered image after the filtering processing, and generating an enhanced image.
And generating a class gradient map according to the enhanced image, and performing binarization processing on the class gradient map to generate a binary image.
In step S107, comparing the generated binary image with the pre-stored information of the storage module provided in the embodiment of the present invention, the determining the quality of plasma includes:
1) Extracting the characteristics of the generated binary image and generating a corresponding characteristic image;
2) Obtaining a plasma standard characteristic image from a database;
3) Calculating the similarity between the generated plasma image and the plasma standard characteristic image;
4) And judging the plasma quality based on the similarity calculation result, wherein the higher the similarity is, the higher the plasma quality is.
In step 1), the image features provided by the embodiment of the invention comprise color distribution, structure and texture image features.
As shown in fig. 2, the intelligent plasma quality discriminator provided in the embodiment of the invention includes:
the storage module 1 is connected with the data acquisition and control module and is used for storing preset information and acquisition information through a memory;
the identification code scanning module 2 is connected with the data acquisition and control module and is used for scanning and identifying the bar code stuck on the surface of the plasma through the code scanner;
the image acquisition module 3 is connected with the data acquisition and control module and is used for acquiring image information of the plasma through the CCD camera;
the bearing module 4 is connected with the data acquisition and control module and is used for bearing and supporting the plasma through the light-transmitting bearing plate;
the pressure detection module 5 is connected with the data acquisition and control module and is used for detecting the weight of the blood plasma through a pressure sensor embedded in the middle of the light-transmitting bearing plate;
the man-machine interaction module 6 is connected with the data acquisition and control module and is used for displaying acquired information and processed information through a man-machine interaction interface and performing man-machine interaction operation;
the data uploading module 7 is connected with the data acquisition and control module and is used for carrying out data packing uploading on the acquired information and the processing result through the signal transmission device;
the voice broadcasting module 8 is connected with the data acquisition and control module and is used for carrying out voice broadcasting on the processing result through the voice player;
the warning module 9 is connected with the data acquisition and control module and is used for alarming through an alarm when abnormal information is detected;
the data acquisition and control module 10 is connected with the storage module, the identification code scanning module, the image acquisition module, the bearing module, the pressure detection module, the man-machine interaction module, the data uploading module, the voice broadcasting module and the warning module, and is used for receiving and processing acquired information through the central processing unit, generating corresponding control instructions according to preset instructions and processing results and carrying out coordinated control on the work of each module.
As shown in fig. 3, the identification code scanning module 2 provided in the embodiment of the present invention includes:
a scanning unit 21 for performing a scanning operation on the bar code by a scanner;
the identifying unit 22 is used for screening the information pre-stored in the storage module according to the scanning information of the bar code;
the extracting unit 23 is configured to extract information corresponding to the screened bar codes, and send the extracted information to the data acquisition and control module.
As shown in fig. 4, an image acquisition module 3 provided in an embodiment of the present invention includes:
a CCD camera unit 31 for acquiring image information by a CCD camera;
an illumination compensation unit 32 for performing illumination compensation when the CCD camera performs image acquisition by the led light supplement lamp;
and the data transmission unit 33 is used for transmitting the image information acquired by the CCD camera to the data acquisition and control module.
As shown in fig. 5, a data acquisition and control module 10 provided in an embodiment of the present invention includes:
a parameter configuration unit 11, configured to perform preset input on control parameters through an input device;
a data receiving unit 12 for receiving the acquired data of the plurality of parameter collecting devices;
an image preprocessing unit 13, configured to perform gray level and sharpness processing on the acquired image of the plasma;
the data processing unit 14 is used for comparing the preprocessed image with pre-stored information of the storage module, judging the quality of the blood plasma, and judging whether the weight of the blood plasma is qualified or not by collecting the pressure information;
and the control instruction generating unit 15 is used for generating a control instruction according to the preset parameters and the processing result information and transmitting the control instruction to the corresponding controlled device.
In the description of the present invention, unless otherwise indicated, the meaning of "a plurality" is two or more; the terms "upper," "lower," "left," "right," "inner," "outer," "front," "rear," "head," "tail," and the like are used as an orientation or positional relationship based on that shown in the drawings, merely to facilitate description of the invention and to simplify the description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore should not be construed as limiting the invention. Furthermore, the terms "first," "second," "third," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
While the invention has been described with respect to what is presently considered to be the most practical and preferred embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, but on the contrary, is intended to cover various modifications, equivalents, and alternatives falling within the spirit and scope of the invention.

Claims (10)

1. An intelligent plasma quality detection method, characterized in that the intelligent plasma quality detection method comprises:
scanning and identifying the bar code stuck on the surface of the plasma by a code scanner, and extracting the corresponding attribute information of the bar code;
the bar code attribute information extraction method comprises the following steps:
(1) Searching a plurality of bar code rules matched with the bar codes in a pre-stored bar code rule database, and generating a rule set according to the plurality of bar code rules;
(2) Acquiring a specified feature code of the identification attribute information of the bar code, and screening bar code rules corresponding to the specified feature code from the rule set;
(3) According to the selected bar code rule, combining the position of the appointed feature code and the information of the appointed feature code to obtain a plurality of subcodes carrying different attribute information;
(4) Acquiring information carried by the plurality of subcodes, judging whether the information carried by the subcodes meets a preset rule, and discarding the bar code rule corresponding to the subcode which does not meet the preset rule if the information does not meet the preset rule; if the preset rule is met, generating an information set from information carried by the subcodes;
(5) Searching information corresponding to the information in the information set from a pre-stored database, namely the bar code attribute information;
step two, placing the plasma on a light-transmitting supporting plate of the supporting module, collecting pressure data by a pressure sensor in the middle of the light-transmitting supporting plate, and transmitting collected information to a central processing unit;
thirdly, performing illumination compensation through the led light supplementing lamp, acquiring image information of plasma by utilizing a CCD camera, and transmitting the acquired image to a central processing unit;
step four, the central processing unit converts the collected color image of the blood plasma into a gray image, and median filtering processing is carried out on the gray image, so that noise reduction and restoration of the image under the condition of edge fidelity are realized;
step five, carrying out enhancement processing on the filtered image according to the local pixel information and the whole pixel information of the filtered image after the filtering processing to generate an enhanced image;
step six, generating a class gradient map according to the enhanced image, and performing binarization processing on the class gradient map to generate a binary image;
step seven, comparing the generated binary image with pre-stored information of a storage module, judging the quality of the blood plasma, and judging whether the weight of the blood plasma is qualified or not by comparing the acquired pressure information with the extracted corresponding attribute information of the bar code;
step eight, voice broadcasting is carried out on the processing result through a voice player, and when the processing result is abnormal, an alarm is given at the same time;
and step nine, packaging the processing result into data through a data uploading module, and uploading the data to a remote monitoring terminal for storage and recording.
2. The intelligent plasma quality testing method according to claim 1, wherein the corresponding attribute information of the bar code includes weight, time of storage, blood type, and plasma category condition of the plasma.
3. The intelligent plasma quality detection method according to claim 1, wherein in the seventh step, comparing the generated binary image with pre-stored information of the storage module, and determining the quality of the plasma comprises:
1) Extracting the characteristics of the generated binary image and generating a corresponding characteristic image;
2) Obtaining a plasma standard characteristic image from a database;
3) Calculating the similarity between the generated plasma characteristic image and the plasma standard characteristic image;
4) And judging the plasma quality based on the similarity calculation result, wherein the higher the similarity is, the higher the plasma quality is.
4. A method of intelligent plasma quality testing according to claim 3, wherein in step 1), the image features include color distribution, texture, and texture image features.
5. An intelligent plasma quality arbiter for performing the intelligent plasma quality test method of any one of claims 1-4, comprising:
the storage module is connected with the data acquisition and control module and is used for storing preset information and acquired information through the memory;
the identification code scanning module is connected with the data acquisition and control module and is used for scanning and identifying the bar code stuck on the surface of the plasma through the code scanner;
the image acquisition module is connected with the data acquisition and control module and is used for acquiring image information of the plasma through the CCD camera;
the bearing module is connected with the data acquisition and control module and is used for bearing and supporting the plasma through the light-transmitting bearing plate;
the pressure detection module is connected with the data acquisition and control module and is used for detecting the weight of the blood plasma through a pressure sensor embedded in the middle of the light-transmitting bearing plate;
the man-machine interaction module is connected with the data acquisition and control module and used for displaying acquired information and processed information through a man-machine interaction interface and performing man-machine interaction operation;
the data uploading module is connected with the data acquisition and control module and is used for carrying out data packing uploading on the acquired information and the processing result through the signal transmission device;
the voice broadcasting module is connected with the data acquisition and control module and is used for broadcasting the processing result through a voice player;
the warning module is connected with the data acquisition and control module and used for giving an alarm through an alarm when abnormal information is detected;
the data acquisition and control module is connected with the storage module, the identification code scanning module, the image acquisition module, the bearing module, the pressure detection module, the man-machine interaction module, the data uploading module, the voice broadcasting module and the warning module, and is used for receiving and processing acquired information through the central processing unit, generating corresponding control instructions according to preset instructions and processing results and carrying out coordinated control on the work of each module.
6. The intelligent plasma quality arbiter of claim 5 wherein the identification code scan module comprises:
the scanning unit is used for scanning the bar code through the code scanner;
the identification unit is used for screening the information prestored in the storage module according to the scanning information of the bar code;
the extraction unit is used for extracting the information corresponding to the screened bar codes and sending the extracted information to the data acquisition and control module.
7. The intelligent plasma quality arbiter of claim 5 wherein the image acquisition module comprises:
the CCD camera unit is used for acquiring image information through the CCD camera;
the illumination compensation unit is used for carrying out illumination compensation when the CCD camera is used for carrying out image acquisition through the led light supplementing lamp;
and the data transmission unit is used for transmitting the image information acquired by the CCD camera to the data acquisition and control module.
8. The intelligent plasma quality arbiter of claim 5 wherein said data collection and control module comprises:
the parameter configuration unit is used for carrying out preset input on control parameters through the input device;
the data receiving unit is used for receiving the acquired data of the plurality of parameter collecting devices;
the image preprocessing unit is used for carrying out gray level and definition processing on the acquired image of the blood plasma;
the data processing unit is used for comparing the preprocessed image with pre-stored information of the storage module, judging the quality of the blood plasma, and judging whether the weight of the blood plasma is qualified or not through the collected pressure information;
and the control instruction generation unit is used for generating a control instruction according to the preset parameters and the processing result information and transmitting the control instruction to the corresponding controlled device.
9. A computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface for implementing the intelligent plasma quality detection method according to any of claims 1-4 when executed on an electronic device.
10. A computer readable storage medium storing instructions which, when run on a computer, cause the computer to perform the intelligent plasma quality detection method of any of claims 1-4.
CN202010519348.7A 2020-06-09 2020-06-09 Intelligent plasma quality judging and reading instrument and quality detection method thereof Active CN111797952B (en)

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