CN111803374B - Intelligent blood storage device and method - Google Patents
Intelligent blood storage device and method Download PDFInfo
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- CN111803374B CN111803374B CN202010428744.9A CN202010428744A CN111803374B CN 111803374 B CN111803374 B CN 111803374B CN 202010428744 A CN202010428744 A CN 202010428744A CN 111803374 B CN111803374 B CN 111803374B
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Abstract
The invention belongs to the technical field of blood storage, and discloses an intelligent blood storage device and method. According to the invention, the blood products with different attribute information are stored through the multiple rows of the storage boxes in the storage module, the storage types and the storage quantity of the blood products can be improved, the occupied storage space is reduced, the quality of the blood products can be ensured by detecting the temperature in the box body and adjusting the temperature in real time through the temperature adjusting module, and the stored attribute information of the blood products can be checked through the human-computer interaction module and the identification module, so that the blood products can be selected and taken correctly.
Description
Technical Field
The invention belongs to the technical field of blood storage, and particularly relates to an intelligent blood storage device and method.
Background
At present, blood transfusion treatment is a key link in the treatment process of patients with perioperative period, emergency bleeding and the like, and timely blood supply can save lives of countless patients. According to basic standards of construction of transfusion departments (blood banks) of medical institutions in Hunan province, the construction of the transfusion departments should be adjacent to major blood departments such as operating rooms, intensive care units and the like so as to save precious time for rescuing patients. However, with rapid development of various subjects in large hospitals, various medical technology updates increase operating parts, care units or multiple hospital areas in hospitals, use blood sites at a longer distance from blood banks, increase blood product transportation time, possibly delay rescue time, and longer transportation can lead blood products to risk of cold chain runaway, thereby affecting blood quality. If a plurality of blood banks are arranged at the same time, the department land is planned according to the biosafety laboratory standard, which is easy to cause waste of building, personnel and resources and increases the management risk of medical supplies and medical wastes. Moreover, the existing blood storage device cannot intelligently count the stored blood state and residual quantity information, and is inconvenient for checking the blood information.
Through the above analysis, the problems and defects existing in the prior art are as follows:
(1) The existing blood storage mode is easy to influence the blood quality, and is easy to cause waste in construction, personnel and resources.
(2) The existing blood storage device cannot intelligently count the stored blood state and residual quantity information, and is inconvenient for checking the blood information.
Disclosure of Invention
Aiming at the problems existing in the prior art, the invention provides an intelligent blood storage device and an intelligent blood storage method.
The present invention is thus achieved, a method of intelligent blood storage, comprising:
firstly, configuring and presetting weight parameters of single blood products and preset temperature in a box body through a man-machine interaction module, and pasting corresponding identification code identification labels on the outer sides of the blood products to be stored through an identification module;
step two, controlling the corresponding locking module on the outer side of the placement box to be opened through the man-machine interaction module, ejecting the placement box through the ejecting module, scanning the blood products through the identification module on the side surface of the placement box, and then placing the blood products into the placement box, and retracting the placement box through the ejecting module;
step three, collecting temperatures at different positions in the box body through a temperature detection module, carrying out average calculation on the collected temperatures through a main control module, and comparing the calculation result with a preset temperature value;
step four, if the main control module detects that the acquired temperature value exceeds a preset temperature range, the temperature in the box body is regulated by the temperature regulating module;
step five, a pressure sensor at the bottom of the placing box detects the pressure received by the bottom of the placing box and transmits the detection result to a main control module, and the main control module calculates the residual quantity of the blood products according to the preset weight parameter of the single blood product and displays the residual quantity through a human-computer interaction module;
in the second step, the process of putting the scanned identification module into the interior is as follows:
the identification information pre-storing unit stores attribute information contained in the identification patches of different identification codes through the storage unit, wherein the attribute information comprises warehouse-in time, blood type, blood product category and cross blood matching condition of different blood products;
the scanning unit scans the identification code label on the outer side of the blood product through the scanner; after the scanning is completed, the information comparison unit compares the information of the identification code label acquired by the scanning with pre-stored information and reads attribute information corresponding to the scanned identification code label;
in the third step, in the process of collecting temperatures at different positions in the box body through the temperature detection module, the method for correcting the detected data comprises the following steps:
passing the data detected by the temperature sensor through an input layer and an hidden layer of BP through an input mode, and outputting the data at an output layer;
if the result output at the output layer is smaller than the set value; the output value is transmitted through the reverse propagation path;
calculating an error value between the two numerical values, reversely transmitting the error value layer by layer along the connecting path, and correcting the connecting weight;
training is carried out continuously through a training network according to the selected temperature value training mode; and repeating the operation process according to the corresponding set value until the relative error of the temperature output result is smaller than the set value.
Further, in the second step, the ejecting module ejects the placement box as follows:
the displacement detection unit detects the position change of the rear side of the placement box through the distance sensor, receives a control instruction according to the detected position change, and pushes the position of the placement box through the pushing unit;
in the pushing process of the position of the placement box, the limiting unit is used for buffering and limiting the outward moving distance of the placement box through the limiting block on the inner side of the box body.
Further, in the second step, the manner of the man-machine interaction module connected with the main control module and used for displaying the collected data and performing man-machine interaction operation through the display comprises the following steps: voice input, touch screen operation and human body induction;
the process of the man-machine interaction module for enhancing the voice signal comprises the following steps:
collecting corresponding voice signals, extracting voice signals containing noise signals, and establishing corresponding denoising signal samples;
performing wavelet decomposition on the voice signal, calculating a corresponding threshold value, and correcting and eliminating the noise signal;
and carrying out wavelet reconstruction on the denoised voice signal to obtain the denoised voice signal.
Further, in the operation process of the touch screen, the correction process of the touch screen to the pressure touch point is as follows:
a pressure touch point on the touch screen establishes a corresponding data correction training sample; carrying out normalization processing on the data in the correction training sample;
and according to the normalization processing result, compensating and correcting the voice signal by using a corresponding correction formula.
Further, the identification information pre-storing unit stores attribute information contained in the identification patches of different identification codes through the storage unit, and the process of classifying the data is as follows:
according to attribute information contained in the identification patches of different identification codes, corresponding training samples are established, and classified sample standard data are set;
performing Euclidean distance on the classified sample standard data and the training sample, and sequencing the Euclidean distance;
and determining training sample data with the minimum Euclidean distance, sequentially constructing a certain number of data classification models in various sequences, and separating and classifying each data one by one.
Further, the method for comparing the information of the identification code label acquired by scanning with the pre-stored information by the information comparison unit in the identification module comprises the following steps:
according to the scanned data, corresponding information comparison training samples are established, and the data of the training samples are preprocessed;
after the data preprocessing is completed, constructing a Gaussian differential pyramid;
searching characteristic points on a continuous Gaussian kernel scale according to the established Gaussian differential pyramid, and describing the characteristic points;
and calculating the similarity between the feature points and the training sample data according to the description of the feature points, so as to realize the comparison of the training sample and the pre-stored information.
Further, in the third step, the temperature detection module includes a plurality of temperature acquisition units, and a plurality of temperature acquisition units are evenly installed in the inside different positions of box, the process that temperature acquisition unit gathered data is:
the temperature acquisition subunit acquires temperature data of the position of the monitoring point through the temperature sensor, and the data transmission subunit transmits the acquired temperature data to the main control module through the wireless signal transmitter.
Further, in the fourth step, the method for the master control module to fuse each collected data includes:
establishing a corresponding sample for the acquired data; extracting corresponding features according to the sample data, and transforming to obtain feature vectors representing the sample data;
according to the feature vectors of the data, identifying the feature vectors by using a clustering algorithm, and establishing the relevance between the feature vectors;
and according to the relevance among the feature vectors, fusing the sample data by using a fusion algorithm, and performing corresponding explanation.
Further, in the fifth step, the pressure monitoring module includes:
presetting weight parameters of the single blood product through a parameter presetting unit;
according to preset weight parameters of the blood product, the pressure data acquisition unit acquires weight data of the blood product through the pressure sensor;
and when the warning unit detects that the pressure data is zero, a warning signal is sent out, and the warning signal is displayed through the human-computer interaction module.
Another object of the present invention is to provide a smart blood storage device for implementing the smart blood storage method, the smart blood storage device comprising:
the placement module is connected with the main control module and used for storing blood products with different attribute information through a plurality of rows of placement boxes arranged in the box body;
the temperature detection module is connected with the main control module and is used for collecting the temperature in the box body for placing the blood products through a plurality of temperature sensors; the temperature acquisition subunit acquires temperature data of the position of the monitoring point through the temperature sensor, and the data transmission subunit transmits the acquired temperature data to the main control module through the wireless signal transmitter;
the temperature adjusting module is connected with the main control module and used for refrigerating and cooling the temperature in the box body through the refrigerator;
the pressure monitoring module is connected with the main control module and is used for monitoring the pressure received by the bottom of the placing box through a pressure sensor arranged at the bottom of the placing box;
the ejecting module is connected with the main control module and used for pushing out and storing the placing box through an electric push rod arranged on the inner side of the box body;
the locking module is connected with the main control module and used for locking the placing box through an electromagnetic lock arranged on the outer side of the placing box;
the man-machine interaction module is connected with the main control module and used for displaying the acquired data and performing man-machine interaction operation through the display; the mode of the man-machine interaction module for displaying the collected data and performing man-machine interaction operation through the display comprises the following steps: voice input, touch screen operation and human body induction;
the identification module is connected with the main control module and used for storing the attribute information of the blood product through an identification code label arranged on the outer side of the blood product;
the identification module is connected with the main control module and used for scanning the identification code label on the outer side of the blood product through the scanner and reading information stored in the identification code label; the method for comparing the information of the identification code label acquired by scanning with the pre-stored information by the information comparison unit in the identification module comprises the steps of establishing a corresponding information comparison training sample according to the scanned data, and preprocessing the data of the training sample; after the data preprocessing is completed, constructing a Gaussian differential pyramid; searching characteristic points on a continuous Gaussian kernel scale according to the established Gaussian differential pyramid, and describing the characteristic points; according to the description of the feature points, calculating the similarity between the feature points and training sample data, and further comparing the training samples with pre-stored information;
the main control module is connected with the placement module, the temperature detection module, the temperature regulation module, the pressure monitoring module, the pop-up module, the locking module, the man-machine interaction module, the identification module and the identification recognition module and is used for processing and analyzing the acquired information through the processor, comparing the temperature information acquired by the temperature sensor with a preset temperature value, judging the quantity of blood products in the placement box according to the pressure data acquired by the pressure sensor and controlling each controlled device through a control instruction of the man-machine interaction equipment; the method for the main control module to fuse all the acquired data is to establish corresponding samples for the acquired data; extracting corresponding features according to the sample data, and transforming to obtain feature vectors representing the sample data; according to the feature vectors of the data, identifying the feature vectors by using a clustering algorithm, and establishing the relevance between the feature vectors; and according to the relevance among the feature vectors, fusing the sample data by using a fusion algorithm, and performing corresponding explanation.
By combining all the technical schemes, the invention has the advantages and positive effects that: according to the invention, the blood products with different attribute information are stored through the storage module and the multiple rows of storage boxes arranged in the box body. The temperature detection module collects the temperature in the box body for placing the blood products through a plurality of temperature sensors, and the temperature regulation module carries out refrigeration and cooling on the temperature in the box body through the refrigerator. The pressure monitoring module monitors the pressure received by the bottom of the placing box through the pressure sensor arranged at the bottom of the placing box. The ejecting module pushes out and stores the placing box through an electric push rod arranged at the inner side of the box body. The locking module locks the placing box through an electromagnetic lock arranged on the outer side of the placing box. The man-machine interaction module displays the collected data and performs man-machine interaction operation through the display. The identification module is used for storing the attribute information of the blood product through an identification code label arranged on the outer side of the blood product. The identification module scans the identification code label on the outer side of the blood product through the scanner and reads information stored in the identification code label. The main control module is respectively connected with the placement module, the temperature detection module, the temperature regulation module, the pressure monitoring module, the pop-up module, the locking module, the man-machine interaction module, the identification module and the identification module, and is used for processing and analyzing the acquired information through the processor, comparing the temperature information acquired by the temperature sensor with a preset temperature value, judging the quantity of blood products in the placement box according to the pressure data acquired by the pressure sensor, and controlling each controlled device through the control instruction of the man-machine interaction device.
According to the invention, the blood products with different attribute information are stored through the multiple rows of the storage boxes in the storage module, the storage types and the storage quantity of the blood products can be improved, the occupied storage space is reduced, the quality of the blood products can be ensured by detecting the temperature in the box body and adjusting the temperature in real time through the temperature adjusting module, and the stored attribute information of the blood products can be checked through the human-computer interaction module and the identification module, so that the blood products can be selected and taken correctly.
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 schematic diagram of a smart blood storage device according to an embodiment of the invention.
FIG. 2 is a flow chart of a smart blood storage method according to an embodiment of the present invention.
Fig. 3 is a flowchart of a method for ejecting a placement box by the ejecting module 5 according to an embodiment of the present invention.
Fig. 4 is a flowchart of a method for enhancing a voice signal by using a man-machine interaction module according to an embodiment of the present invention.
Fig. 5 is a flowchart of a method for correcting a pressure touch point by using a touch screen according to an embodiment of the present invention.
In the figure: 1. placing a module; 2. a temperature detection module; 3. a temperature adjustment module; 4. a pressure monitoring module; 5. a pop-up module; 6. a locking module; 7. a man-machine interaction module; 8. an identification module; 9. an identification module; 10. and a main control module.
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.
In view of the problems of the prior art, the present invention provides a smart blood storage device and method, and the present invention is described in detail below with reference to the accompanying drawings.
As shown in fig. 1, an intelligent blood storage apparatus according to an embodiment of the present invention includes:
and the placement module 1 is connected with the main control module and is used for storing blood products with different attribute information through a plurality of rows of placement boxes arranged in the box body.
And the temperature detection module 2 is connected with the main control module and is used for collecting the temperature in the box body for placing the blood products through a plurality of temperature sensors.
And the temperature adjusting module 3 is connected with the main control module and used for refrigerating and cooling the temperature in the box body through the refrigerator.
And the pressure monitoring module 4 is connected with the main control module and is used for monitoring the pressure received by the bottom of the placing box through the pressure sensor arranged at the bottom of the placing box.
And the ejecting module 5 is connected with the main control module and used for pushing out and storing the placing box through an electric push rod arranged at the inner side of the box body.
And the locking module 6 is connected with the main control module and used for locking the placing box through an electromagnetic lock arranged on the outer side of the placing box.
And the man-machine interaction module 7 is connected with the main control module and is used for displaying the acquired data and performing man-machine interaction operation through the display.
The identification module 8 is connected with the main control module and is used for storing the attribute information of the blood product through the identification code label arranged on the outer side of the blood product.
The identification module 9 is connected with the main control module and used for scanning the identification code label on the outer side of the blood product through the scanner and reading information stored in the identification code label.
The main control module 10 is connected with the placement module, the temperature detection module, the temperature regulation module, the pressure monitoring module, the pop-up module, the locking module, the man-machine interaction module, the identification module and the identification recognition module and is used for processing and analyzing the acquired information through the processor, comparing the temperature information acquired by the temperature sensor with a preset temperature value, judging the quantity of blood products in the placement box according to the pressure data acquired by the pressure sensor and controlling each controlled device through the control instruction of the man-machine interaction equipment.
As shown in fig. 5, the intelligent blood storage method provided in the embodiment of the invention specifically includes:
s101, configuring and presetting weight parameters of single blood products and preset temperature inside a box body through a man-machine interaction module, and pasting corresponding identification code identification labels on the outer sides of the blood products to be stored through an identification module.
S102, controlling the corresponding locking module on the outer side of the placing box to be opened through the man-machine interaction module, ejecting the placing box through the ejecting module, scanning the blood product through the identification module on the side surface of the placing box, and then placing the blood product into the box, and retracting the placing box through the ejecting module.
S103, collecting temperatures at different positions in the box body through the temperature detection module, carrying out average calculation on the collected temperatures through the main control module, and comparing the calculation result with a preset temperature value.
S104, if the main control module detects that the acquired temperature value exceeds the preset temperature range, the temperature in the box body is adjusted through the temperature adjusting module.
S105, detecting the pressure received by the bottom of the placing box by the pressure sensor in the pressure monitoring module at the bottom of the placing box, transmitting the detection result to the main control module, calculating the residual quantity of the blood product by the main control module according to the preset weight parameter of the single blood product, and displaying by the man-machine interaction module.
In S102 provided in the embodiment of the present invention, the process of ejecting the placement box by the ejecting module 5 is:
s201, detecting the position change of the rear side of the placement box by a displacement detection unit through a distance sensor;
s202, receiving a control instruction according to the detected position change, and pushing the position of the placement box by a pushing unit;
s203, in the pushing process of the position of the placement box, the limiting unit performs buffering and limiting on the outward moving distance of the placement box through a limiting block on the inner side of the box body.
In S102 provided in the embodiment of the present invention, a manner of the man-machine interaction module 7, which is connected to the main control module and is used for displaying collected data and performing man-machine interaction operation through the display, includes: voice input, touch screen operation and human body induction;
the process of the man-machine interaction module for enhancing the voice signal comprises the following steps:
s301, collecting corresponding voice signals, extracting voice signals containing noise signals, and establishing corresponding denoising signal samples;
s302, carrying out wavelet decomposition on the voice signals, calculating corresponding threshold values, and correcting and eliminating noise signals;
s303, carrying out wavelet reconstruction on the denoised voice signal to obtain the denoised voice signal.
In the operation process of the touch screen, the correction process of the touch screen to the pressure touch point is as follows:
s401, pressure touch points on a touch screen are used for establishing corresponding data correction training samples;
s402, carrying out normalization processing on data in the correction training sample;
s403, according to the normalization processing result, compensating and correcting the voice signal by using a corresponding correction formula.
In S102 provided in the embodiment of the present invention, the process of placing the identification module 9 into the interior after scanning is:
the identification information pre-storing unit stores attribute information contained in the identification patches of different identification codes through the storage unit, wherein the attribute information comprises warehouse-in time, blood type, blood product category and cross blood matching condition of different blood products;
the scanning unit scans the identification code label on the outer side of the blood product through the scanner. After the scanning is completed, the information comparison unit compares the information of the identification code label acquired by the scanning with pre-stored information and reads attribute information corresponding to the scanned identification code label.
The identification information pre-storing unit stores attribute information contained in different identification code identification patches through the storage unit, and the process of classifying the data is as follows:
according to attribute information contained in the identification patches of different identification codes, corresponding training samples are established, and classified sample standard data are set;
performing Euclidean distance on the classified sample standard data and the training sample, and sequencing the Euclidean distance;
and determining training sample data with the minimum Euclidean distance, sequentially constructing a certain number of data classification models in various sequences, and separating and classifying each data one by one.
In S103 provided by the embodiment of the present invention, in a process of collecting temperatures at different positions in a box body by using a temperature detection module, a method for correcting detected data includes:
passing the data detected by the temperature sensor through an input layer and an hidden layer of BP through an input mode, and outputting the data at an output layer;
if the result output at the output layer is smaller than the set value; the output value is transmitted through the reverse propagation path;
calculating an error value between the two numerical values, reversely transmitting the error value layer by layer along the connecting path, and correcting the connecting weight;
training is carried out continuously through a training network according to the selected temperature value training mode; and repeating the operation process according to the corresponding set value until the relative error of the temperature output result is smaller than the set value.
The method for comparing the information of the identification code label acquired by scanning with the pre-stored information by the information comparison unit in the identification module 9 comprises the following steps:
according to the scanned data, corresponding information comparison training samples are established, and the data of the training samples are preprocessed;
after the data preprocessing is completed, constructing a Gaussian differential pyramid;
and searching the characteristic points on the continuous Gaussian kernel scale according to the established Gaussian differential pyramid, and describing the characteristic points.
And calculating the similarity between the feature points and the training sample data according to the description of the feature points, so as to realize the comparison of the training sample and the pre-stored information.
In S103 provided by the embodiment of the present invention, the temperature detection module includes a plurality of temperature acquisition units, the plurality of temperature acquisition units are uniformly installed at different positions inside the box, and the process of acquiring data by the temperature acquisition units is as follows:
the temperature acquisition subunit acquires temperature data of the position of the monitoring point through the temperature sensor, and the data transmission subunit transmits the acquired temperature data to the main control module through the wireless signal transmitter.
The method for fusing the acquired data by the main control module provided by the embodiment of the invention comprises the following steps:
establishing a corresponding sample for the acquired data; extracting corresponding features according to the sample data, and transforming to obtain feature vectors representing the sample data;
according to the feature vectors of the data, identifying the feature vectors by using a clustering algorithm, and establishing the relevance between the feature vectors;
and according to the relevance among the feature vectors, fusing the sample data by using a fusion algorithm, and performing corresponding explanation.
In S105 provided by the embodiment of the present invention, the process of the pressure monitoring module 4 is:
presetting weight parameters of the single blood product through a parameter presetting unit;
according to preset weight parameters of the blood product, the pressure data acquisition unit acquires weight data of the blood product through the pressure sensor;
and when the warning unit detects that the pressure data is zero, a warning signal is sent out, and the warning signal is displayed through the human-computer interaction module.
The working principle of the invention is as follows: the weight parameters of the single blood products and the preset temperature inside the box body are configured and preset through the human-computer interaction module 7, and the identification module 8 pastes corresponding identification code identification labels on the outer sides of the blood products to be stored. The corresponding locking module outside the placing box is controlled to be opened through the man-machine interaction module 7, the placing box is ejected by the ejecting module 5, the blood product is placed into the box after being scanned through the identification module on the side face of the placing box, and the placing box is retracted by the ejecting module 5. The temperature detection module 2 is used for collecting temperatures at different positions in the box body, the main control module 10 is used for carrying out average calculation on the collected temperatures, and the calculation result is compared with a preset temperature value.
If the main control module 10 detects that the acquired temperature value exceeds the preset temperature range, the temperature in the box body is adjusted through the temperature adjusting module 2. The pressure sensor in the pressure monitoring module 4 at the bottom of the placing box detects the pressure received by the bottom of the placing box, transmits the detection result to the main control module, calculates the residual quantity of the blood product according to the preset weight parameter of the single blood product through the main control module 10, and displays the residual quantity through the man-machine interaction module 7.
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 (8)
1. A method of intelligent blood storage, the method comprising:
firstly, configuring and presetting weight parameters of single blood products and preset temperature in a box body through a man-machine interaction module, and pasting corresponding identification code identification labels on the outer sides of the blood products to be stored through an identification module;
step two, controlling the corresponding locking module on the outer side of the placement box to be opened through the man-machine interaction module, ejecting the placement box through the ejecting module, scanning the blood products through the identification module on the side surface of the placement box, and then placing the blood products into the placement box, and retracting the placement box through the ejecting module;
step three, collecting temperatures at different positions in the box body through a temperature detection module, carrying out average calculation on the collected temperatures through a main control module, and comparing the calculation result with a preset temperature value;
step four, if the main control module detects that the acquired temperature value exceeds a preset temperature range, the temperature in the box body is regulated by the temperature regulating module;
step five, a pressure sensor at the bottom of the placing box detects the pressure received by the bottom of the placing box and transmits the detection result to a main control module, and the main control module calculates the residual quantity of the blood products according to the preset weight parameter of the single blood product and displays the residual quantity through a human-computer interaction module;
in the second step, the process of putting the scanned identification module into the interior is as follows:
the identification information pre-storing unit stores attribute information contained in the identification patches of different identification codes through the storage unit, wherein the attribute information comprises warehouse-in time, blood type, blood product category and cross blood matching condition of different blood products;
the scanning unit scans the identification code label on the outer side of the blood product through the scanner; after the scanning is completed, the information comparison unit compares the information of the identification code label acquired by the scanning with pre-stored information and reads attribute information corresponding to the scanned identification code label;
in the third step, in the process of collecting temperatures at different positions in the box body through the temperature detection module, the method for correcting the detected data comprises the following steps:
passing the data detected by the temperature sensor through an input layer and an hidden layer of BP through an input mode, and outputting the data at an output layer;
if the result output at the output layer is smaller than the set value; the output value is transmitted through the reverse propagation path;
calculating an error value between the two numerical values, reversely transmitting the error value layer by layer along the connecting path, and correcting the connecting weight;
training is carried out continuously through a training network according to the selected temperature value training mode; repeating the operation process according to the corresponding set value until the relative error of the temperature output result is smaller than the set value;
in the second step, the ejecting module ejects the placement box in the following process:
the displacement detection unit detects the position change of the rear side of the placement box through the distance sensor, receives a control instruction according to the detected position change, and pushes the position of the placement box through the pushing unit;
in the pushing process of the position of the placement box, the limiting unit performs buffering and limiting on the outward moving distance of the placement box through a limiting block on the inner side of the box body;
in the second step, the man-machine interaction module connected with the main control module for displaying the collected data and performing man-machine interaction operation through the display comprises: voice input, touch screen operation and human body induction;
the process of the man-machine interaction module for enhancing the voice signal comprises the following steps:
collecting corresponding voice signals, extracting voice signals containing noise signals, and establishing corresponding denoising signal samples;
performing wavelet decomposition on the voice signal, calculating a corresponding threshold value, and correcting and eliminating the noise signal;
and carrying out wavelet reconstruction on the denoised voice signal to obtain the denoised voice signal.
2. The intelligent blood storage method according to claim 1, wherein the touch screen corrects the pressure touch point during the operation of the touch screen:
a pressure touch point on the touch screen establishes a corresponding data correction training sample; carrying out normalization processing on the data in the correction training sample;
and according to the normalization processing result, compensating and correcting the voice signal by using a corresponding correction formula.
3. The intelligent blood storage method according to claim 1, wherein the identification information pre-storing unit stores attribute information contained in the identification patches of different identification codes through the storage unit, and the process of classifying the data is as follows:
according to attribute information contained in the identification patches of different identification codes, corresponding training samples are established, and classified sample standard data are set;
performing Euclidean distance on the classified sample standard data and the training sample, and sequencing the Euclidean distance;
and determining training sample data with the minimum Euclidean distance, sequentially constructing a certain number of data classification models in various sequences, and separating and classifying each data one by one.
4. The intelligent blood storage method according to claim 1, wherein the method for comparing the information of the identification code label collected by scanning with the pre-stored information by the information comparing unit in the identification module comprises the steps of:
according to the scanned data, corresponding information comparison training samples are established, and the data of the training samples are preprocessed;
after the data preprocessing is completed, constructing a Gaussian differential pyramid;
searching characteristic points on a continuous Gaussian kernel scale according to the established Gaussian differential pyramid, and describing the characteristic points;
and calculating the similarity between the feature points and the training sample data according to the description of the feature points, so as to realize the comparison of the training sample and the pre-stored information.
5. The intelligent blood storage method according to claim 1, wherein in the third step, the temperature detection module comprises a plurality of temperature acquisition units, the plurality of temperature acquisition units are uniformly arranged at different positions inside the case, and the process of acquiring data by the temperature acquisition units is as follows:
the temperature acquisition subunit acquires temperature data of the position of the monitoring point through the temperature sensor, and the data transmission subunit transmits the acquired temperature data to the main control module through the wireless signal transmitter.
6. The intelligent blood storage method according to claim 1, wherein in the fourth step, the method for the master control module to fuse the collected data comprises:
establishing a corresponding sample for the acquired data; extracting corresponding features according to the sample data, and transforming to obtain feature vectors representing the sample data;
according to the feature vectors of the data, identifying the feature vectors by using a clustering algorithm, and establishing the relevance between the feature vectors;
and according to the relevance among the feature vectors, fusing the sample data by using a fusion algorithm, and performing corresponding explanation.
7. The intelligent blood storage method according to claim 1, wherein in the fifth step, the pressure monitoring module comprises the following steps:
presetting weight parameters of the single blood product through a parameter presetting unit;
according to preset weight parameters of the blood product, the pressure data acquisition unit acquires weight data of the blood product through the pressure sensor;
and when the warning unit detects that the pressure data is zero, a warning signal is sent out, and the warning signal is displayed through the human-computer interaction module.
8. A smart blood storage device for performing the smart blood storage method of any one of claims 1-7, said smart blood storage device comprising:
the placement module is connected with the main control module and used for storing blood products with different attribute information through a plurality of rows of placement boxes arranged in the box body;
the temperature detection module is connected with the main control module and is used for collecting the temperature in the box body for placing the blood products through a plurality of temperature sensors; the temperature acquisition subunit acquires temperature data of the position of the monitoring point through the temperature sensor, and the data transmission subunit transmits the acquired temperature data to the main control module through the wireless signal transmitter;
the temperature adjusting module is connected with the main control module and used for refrigerating and cooling the temperature in the box body through the refrigerator;
the pressure monitoring module is connected with the main control module and is used for monitoring the pressure received by the bottom of the placing box through a pressure sensor arranged at the bottom of the placing box;
the ejecting module is connected with the main control module and used for pushing out and storing the placing box through an electric push rod arranged on the inner side of the box body;
the locking module is connected with the main control module and used for locking the placing box through an electromagnetic lock arranged on the outer side of the placing box;
the man-machine interaction module is connected with the main control module and used for displaying the acquired data and performing man-machine interaction operation through the display; the mode of the man-machine interaction module for displaying the collected data and performing man-machine interaction operation through the display comprises the following steps: voice input, touch screen operation and human body induction;
the identification module is connected with the main control module and used for storing the attribute information of the blood product through an identification code label arranged on the outer side of the blood product;
the identification module is connected with the main control module and used for scanning the identification code label on the outer side of the blood product through the scanner and reading information stored in the identification code label; the method for comparing the information of the identification code label acquired by scanning with the pre-stored information by the information comparison unit in the identification module comprises the steps of establishing a corresponding information comparison training sample according to the scanned data, and preprocessing the data of the training sample; after the data preprocessing is completed, constructing a Gaussian differential pyramid; searching characteristic points on a continuous Gaussian kernel scale according to the established Gaussian differential pyramid, and describing the characteristic points; according to the description of the feature points, calculating the similarity between the feature points and training sample data, and further comparing the training samples with pre-stored information;
the main control module is connected with the placement module, the temperature detection module, the temperature regulation module, the pressure monitoring module, the pop-up module, the locking module, the man-machine interaction module, the identification module and the identification recognition module and is used for processing and analyzing the acquired information through the processor, comparing the temperature information acquired by the temperature sensor with a preset temperature value, judging the quantity of blood products in the placement box according to the pressure data acquired by the pressure sensor and controlling each controlled device through a control instruction of the man-machine interaction equipment; the method for the main control module to fuse all the acquired data is to establish corresponding samples for the acquired data; extracting corresponding features according to the sample data, and transforming to obtain feature vectors representing the sample data; according to the feature vectors of the data, identifying the feature vectors by using a clustering algorithm, and establishing the relevance between the feature vectors; and according to the relevance among the feature vectors, fusing the sample data by using a fusion algorithm, and performing corresponding explanation.
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