Universal fully-automatic calibration device and method for blood culture instrument

Abstract

Disclosed are a universal fully-automatic calibration device and method for a blood culture instrument. The device comprises a data acquisition system, a data receiving and processing system, and an auxiliary supporting system, wherein the data acquisition system comprises a plurality of calibration units, and each of the calibration units comprises a shell assembly, a charging interface installed on the shell assembly, an integrated temperature and illuminance sensor, and a calibration unit circuit module; the data receiving and processing system comprises a computer main unit and a display module electrically connected to the computer main unit; and the auxiliary supporting system comprises an accommodating box body and a box body circuit module installed on the accommodating box body. Therefore, the measurement precision of the blood culture instrument can be improved by means of accurate calibration, thus reducing errors.

Description

A universal fully automatic calibration device and method for blood culture instrument Technical Field

[0001] The present application relates to the field of blood culture instruments, and more specifically, to a universal fully automatic calibration device and method for blood culture instruments. Background Art

[0002] Blood culture analyzers (abbreviated as blood culture analyzers) are instruments used in clinical laboratories for the continuous in vitro cultivation and automated detection of microorganisms, such as bacteria and yeast-like fungi, in human blood or other sterile body fluids. They can effectively determine the presence of microorganisms in the sample being tested and are effective for rapid and sensitive screening of sepsis and bacteremia. Blood culture analyzer test results provide diagnostic evidence for clinical treatment and are directly related to the success of treatment. They play a vital role in hospital hematology and infectious disease departments.

[0003] The blood culture instrument mainly consists of two parts: a constant temperature incubation system and a detection system. The constant temperature incubation system mainly provides a suitable constant temperature environment for microbial culture, and the detection system is used to determine whether bacterial culture is growing. The temperature and illumination of the blood culture instrument jointly determine the reliability of the equipment's detection results. Among them, temperature determines the accuracy of microbial culture. Therefore, temperature calibration of the blood culture instrument is necessary. However, the traditional temperature calibration process requires manual operation, which is time-consuming, labor-intensive, and prone to errors. In addition, there are many blood culture instrument manufacturers at home and abroad, and there are differences in the specifications and models of mainstream blood culture instrument products on the market. A set of calibration devices cannot cover the cabin sizes of various models, and it is difficult to achieve universal application for all models. Therefore, an optimized universal fully automatic calibration device and method for blood culture instruments is expected. Summary of the Invention

[0004] In order to solve the above technical problems, the present application is proposed. The present application provides a universal fully automatic calibration device and method for a blood culture instrument, which can improve the measurement accuracy of the blood culture instrument and reduce errors through precise calibration.

[0005] According to one aspect of the present application, there is provided a universal fully automatic calibration device for a blood culture instrument, comprising: a data acquisition system, a data receiving and processing system, and an auxiliary support system;

[0006] The data acquisition system includes a plurality of calibration units, each of which includes a housing assembly, a charging interface mounted on the housing assembly, an integrated temperature and illumination sensor, and a calibration unit circuit module;

[0007] The data receiving and processing system includes a computer host and a display module electrically connected to the computer host;

[0008] The auxiliary support system includes a containing box and a box circuit module installed on the containing box.

[0009] According to another aspect of the present application, a universal fully automatic calibration method for a blood culture instrument is provided, comprising:

[0010] Acquire temperature values ​​collected by multiple integrated temperature and illuminance sensors;

[0011] Obtaining a spatial topology matrix between the plurality of integrated temperature and illumination sensors, wherein a value at each non-diagonal position in the spatial topology matrix is ​​used to represent a spatial distance between corresponding two integrated temperature and illumination sensors;

[0012] Extracting sample correlation features of temperature values ​​collected by a plurality of the integrated temperature and illumination sensors to obtain a temperature correlation pattern feature vector;

[0013] extracting topological features of the spatial topological matrix to obtain a spatial topological feature matrix; and

[0014] A temperature-corrected measurement estimate is generated based on the mapping and fusion interaction features of the temperature correlation pattern feature vector and the spatial topology feature matrix.

[0015] Compared to the prior art, the present application provides a universal, fully automatic calibration device and method for a blood culture instrument. The device comprises a data acquisition system, a data receiving and processing system, and an auxiliary support system. The data acquisition system includes several calibration units, each of which comprises a housing assembly, a charging port mounted thereon, an integrated temperature and illumination sensor, and a calibration unit circuit module. The data receiving and processing system includes a computer host and a display module electrically connected thereto. The auxiliary support system includes a container and a container circuit module mounted thereon. This allows for improved measurement accuracy and reduced errors in the blood culture instrument through precise calibration. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for the description of the embodiments. The following drawings are not intentionally scaled to the actual size, and the focus is on illustrating the main purpose of the present application.

[0017] FIG1 is a block diagram of a universal fully automatic calibration device for a blood culture instrument according to an embodiment of the present application.

[0018] FIG2 is a flow chart of a universal fully automatic calibration method for a blood culture instrument according to an embodiment of the present application.

[0019] FIG3 is a schematic diagram of the system architecture of a universal fully automatic calibration method for a blood culture instrument according to an embodiment of the present application.

[0020] FIG4 is a diagram showing an application scenario of a universal fully automatic calibration device for a blood culture instrument according to an embodiment of the present application.

[0021] FIG5 is a cross-sectional schematic diagram of a calibration unit of a universal fully automatic calibration device for a blood culture instrument according to an embodiment of the present application.

[0022] FIG6 is a schematic structural diagram of a calibration unit of a universal fully automatic calibration device for a blood culture instrument according to an embodiment of the present application.

[0023] FIG7 is a schematic structural diagram of a universal fully automatic calibration device for a blood culture instrument according to an embodiment of the present application.

[0024] Among them, in Figures 5 and 6, 1-shell, 2-telescopic second shell, 3-semi-embedded third shell, 4-charging interface, 5-integrated temperature and illumination sensor, 6-calibration unit circuit module; in Figure 7, 3-semi-embedded third shell, 7-computer host, 8-display module, 9-containing box, 10-box circuit module, 11-calibration unit charging male head. DETAILED DESCRIPTION

[0025] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings. Obviously, the embodiments described are only some embodiments of the present application, not all embodiments. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without making creative efforts also fall within the scope of protection of this application.

[0026] As used in this application and the claims, unless the context clearly indicates otherwise, the words "a," "an," "an," and / or "the" are not intended to refer to the singular but may include the plural. Generally speaking, the terms "comprises" and "include" only indicate the inclusion of the steps and elements specifically identified, and these steps and elements do not constitute an exclusive list. A method or apparatus may also include other steps or elements.

[0027] Although the present application makes various references to certain modules in the system according to embodiments of the present application, any number of different modules can be used and run on the user terminal and / or server. The modules are illustrative only, and different aspects of the system and method can use different modules.

[0028] Flowcharts are used in this application to illustrate the operations performed by the systems according to the embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed in exact order. Instead, the various steps may be processed in reverse order or simultaneously, as needed. Furthermore, other operations may be added to these processes, or one or more operations may be removed from these processes.

[0029] Below, the exemplary embodiments according to the present application will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application, and it should be understood that the present application is not limited to the exemplary embodiments described herein.

[0030] The present application provides a universal fully automatic calibration device for blood culture instruments. Figure 1 is a block diagram of a universal fully automatic calibration device for blood culture instruments according to an embodiment of the present application. As shown in Figure 1, the universal fully automatic calibration device 100 for blood culture instruments according to an embodiment of the present application includes: a data acquisition system 110, a data receiving and processing system 120, and an auxiliary support system 130; wherein the data acquisition system 110 includes a plurality of calibration units, each of which includes a housing assembly, a charging interface mounted on the housing assembly, an integrated temperature and illumination sensor, and a calibration unit circuit module; the data receiving and processing system 120 includes a computer host and a display module electrically connected to the computer host; the auxiliary support system 130 includes a storage box and a box circuit module mounted on the storage box.

[0031] Among them, in order to solve the problem of low automation level of mainstream blood culture instrument products on the market, the technical concept of this application is to use an intelligent algorithm to extract the implicit temperature change distribution information in the temperature values ​​collected by multiple integrated temperature and illuminance sensors, and integrate the spatial topological feature information between each integrated temperature and illuminance sensor into the temperature feature expression, so as to more comprehensively reflect the temperature distribution law inside the blood culture instrument, thereby intelligently generating temperature correction measurement estimates and realizing automatic calibration of the temperature of the blood culture instrument.

[0032] Correspondingly, the calibration unit circuit module includes: a data acquisition unit for acquiring temperature values ​​collected by multiple integrated temperature and illuminance sensors; a spatial topology matrix acquisition unit for acquiring the spatial topology matrix between the multiple integrated temperature and illuminance sensors, wherein the values ​​of each non-diagonal position in the spatial topology matrix are used to represent the spatial distance between the corresponding two integrated temperature and illuminance sensors; a sample association feature extraction unit for extracting sample association features of the temperature values ​​collected by multiple integrated temperature and illuminance sensors to obtain a temperature correlation pattern feature vector; a topology feature extraction unit for extracting topological features of the spatial topology matrix to obtain a spatial topology feature matrix; and a temperature correction measurement estimate generation unit for generating a temperature correction measurement estimate based on the mapping fusion interaction features of the temperature correlation pattern feature vector and the spatial topology feature matrix.

[0033] Specifically, in the technical solution of the present application, the encoding process of the calibration unit circuit module includes: first, obtaining temperature values ​​collected by multiple integrated temperature and illumination sensors; and obtaining a spatial topological matrix between the multiple integrated temperature and illumination sensors, wherein the value of each non-diagonal position in the spatial topological matrix is ​​used to represent the spatial distance between the corresponding two integrated temperature and illumination sensors. Here, obtaining the temperature values ​​collected by the multiple integrated temperature and illumination sensors can reflect the temperature information at different spatial locations of the blood culture instrument, thereby forming the temperature distribution within the blood culture instrument, providing an important basis for temperature calibration. In addition, considering that the temperature at each location in the blood culture instrument may vary due to various factors, that is, the temperature may vary or be unevenly distributed in space, by obtaining the spatial distance between each integrated temperature and illumination sensor, the implicit spatial topological relationship contained therein can be considered to analyze and explore the causes of temperature changes and temperature transmission patterns, guiding the model to focus on the impact of the sensor position relationship on temperature calibration, thereby improving the accuracy and reliability of calibration.

[0034] Then, after the temperature values ​​collected by the multiple integrated temperature and illumination sensors are arranged into a temperature input vector according to the sample dimension, the temperature input vector is passed through a temperature implicit correlation pattern feature extractor based on a one-dimensional convolutional layer to obtain a temperature correlation pattern feature vector. That is, a one-dimensional convolutional layer is used to construct a temperature implicit correlation pattern feature extraction to capture the implicit correlation and correlation pattern between the temperature values ​​collected by each of the integrated temperature and illumination sensors. Specifically, these correlation patterns may include temperature trends, periodic changes, instantaneous changes, etc. By extracting such implicit correlations and correlation patterns, the global temperature change information and distribution pattern of the blood culture instrument can be characterized and portrayed. At the same time, the spatial topology matrix is ​​passed through an inter-sensor spatial topology feature extractor based on a convolutional neural network model to obtain a spatial topology feature matrix. That is, a sensor-to-sensor spatial topology feature extractor based on a convolutional neural network model is used to capture the complex spatial relationship between the integrated temperature and illuminance sensors expressed by the spatial topology matrix, so as to understand the relative positions and spatial layouts of the integrated temperature and illuminance sensors, further reveal the temperature transfer laws and the implicit influence relationships of the temperatures at the locations of the integrated temperature and illuminance sensors, and help to understand a more comprehensive temperature distribution pattern.

[0035] Correspondingly, the sample association feature extraction unit includes: a vectorization subunit, used to arrange the temperature values ​​collected by the multiple integrated temperature and illuminance sensors into a temperature input vector according to the sample dimension; and a temperature implicit association pattern feature extraction subunit, used to pass the temperature input vector through a temperature implicit association pattern feature extractor based on a one-dimensional convolution layer to obtain the temperature association pattern feature vector.

[0036] The topological feature extraction unit is used to: pass the spatial topological matrix through an inter-sensor spatial topological feature extractor based on a convolutional neural network model to obtain the spatial topological feature matrix.

[0037] Next, a spatial mapping fusion device is used to process the spatial topological feature matrix and the temperature correlation pattern feature vector to obtain a topological information-doped temperature correlation pattern feature vector. It should be understood that in a blood culture instrument, the spatial relationship between the integrated temperature and illumination sensors is closely related to the temperature correlation. In the technical solution of the present application, by fusing the spatial topological feature matrix and the temperature correlation pattern feature vector, the spatial information can be combined with the temperature information, thereby more comprehensively describing the temperature distribution pattern inside the blood culture instrument and the global temperature implicit correlation change trend. Specifically, the spatial mapping fusion device enables the one-dimensional feature vector, i.e., the temperature correlation pattern feature vector, to interact with the high-dimensional feature map, i.e., the spatial topological feature matrix, to directly control the correlation characteristics of each feature channel, and help the network focus on the specific part of each feature channel to consider the correlation and importance between different feature channels in the feature fusion process. This helps to better fuse the feature information of spatial topology and temperature distribution, making the fused features more representative and discriminative.

[0038] Furthermore, the topology information-doped temperature correlation pattern feature vector is passed through a decoder-based temperature-corrected measurement estimate generator to obtain a temperature-corrected measurement estimate. The decoder-based temperature-corrected measurement estimate generator can map the topology information-doped temperature correlation pattern feature vector back to a numerical space representing the temperature-corrected measurement estimate.

[0039] Accordingly, the temperature-corrected measurement estimate value generation unit includes: a spatial mapping fusion subunit, which is used to use a spatial mapping fuser to process the spatial topological feature matrix and the temperature correlation pattern feature vector to obtain a topological information-doped temperature correlation pattern feature vector; and a decoding subunit, which is used to pass the topological information-doped temperature correlation pattern feature vector through a decoder-based temperature-corrected measurement estimate value generator to obtain a temperature-corrected measurement estimate value.

[0040] In a specific example, the spatial mapping fusion subunit includes: a first convolution secondary subunit, used to pass the temperature correlation pattern feature vector through a point convolution layer to obtain a first convolution feature vector; a first correction secondary subunit, used to pass the first convolution feature vector through a correction linear unit based on a ReLU function to obtain a first correction convolution feature vector; a second convolution secondary subunit, used to pass the first correction convolution feature vector through a point convolution layer to obtain a second convolution feature vector; a second correction secondary subunit, used to pass the second convolution feature vector through a correction linear unit based on a Sigmoid function to obtain a second correction convolution feature vector; a convolution encoding secondary subunit, used to pass the spatial topology feature matrix through a CNN model to obtain a high-dimensional implicit feature map; and a fusion secondary subunit, used to fuse the second correction convolution feature vector with the high-dimensional implicit feature map to obtain the topology information-doped temperature correlation pattern feature vector.

[0041] In a specific example, the decoding subunit is configured to: use the multiple fully connected layers of the decoder-based temperature-corrected measurement estimate generator to decode and regress the topology information-doped temperature correlation pattern feature vector using the following decoding formula to obtain the temperature-corrected measurement estimate, wherein the decoding formula is: Y= Wherein, V1 is the characteristic vector of the correlation pattern between the topological information doping and temperature, Y is the temperature correction measurement estimate, M1 is the weight matrix, B is the bias vector, represents matrix multiplication and h(·) is the activation function.

[0042] Furthermore, in the technical solution of the present application, the universal fully automatic calibration device for the blood culture instrument also includes a training module for training the implicit correlation pattern feature extractor between temperatures based on the one-dimensional convolution layer, the spatial topology feature extractor between sensors based on the convolutional neural network model, the spatial mapping fusion device and the temperature correction measurement estimation value generator based on the decoder.

[0043] In one example, the training module includes: a training data acquisition unit for acquiring training data, wherein the training data includes training temperature values ​​collected by multiple integrated temperature and illuminance sensors, a training space topology matrix between multiple integrated temperature and illuminance sensors, and a true value of a temperature-corrected measurement estimate; a training temperature implicit correlation pattern feature extraction unit for arranging the training temperature values ​​collected by multiple integrated temperature and illuminance sensors into a training temperature input vector according to a sample dimension, and then passing the training temperature input vector through the temperature implicit correlation pattern feature extractor based on a one-dimensional convolutional layer to obtain a training temperature correlation pattern feature vector; a training sensor space topology feature extraction unit for passing the training space topology matrix through the sensor space topology feature extractor based on a convolutional neural network model to obtain a training space topology feature matrix; A training space mapping fusion unit is used to use the space mapping fuser to process the training space topology feature matrix and the training temperature correlation pattern feature vector to obtain a training topology information-doped temperature correlation pattern feature vector; a decoding loss function value generation unit is used to pass the training topology information-doped temperature correlation pattern feature vector through the decoder-based temperature correction measurement estimate value generator to obtain a decoding loss function value; and a loss training unit is used to train the one-dimensional convolutional layer-based temperature implicit correlation pattern feature extractor, the convolutional neural network model-based sensor space topology feature extractor, the space mapping fuser and the decoder-based temperature correction measurement estimate value generator with the decoding loss function value, wherein in each round of training iteration, the training topology information-doped temperature correlation pattern feature vector is corrected.

[0044] In the above technical solution, the training temperature correlation pattern feature vector expresses the one-dimensional local correlation characteristics of the temperature values ​​collected by multiple integrated temperature and illuminance sensors, and the training spatial topology feature matrix expresses the spatial topology distribution characteristics of the multiple integrated temperature and illuminance sensors. Therefore, after using a spatial mapping fusion device to process the training spatial topology feature matrix and the training temperature correlation pattern feature vector, the training topology information-doped temperature correlation pattern feature vector can include the temperature value correlation characteristics of the multiple integrated temperature and illuminance sensors based on their spatial topology distribution, thereby improving the expression effect of the training topology information-doped temperature correlation pattern feature vector for the sample value correlation characteristics of multiple sample-specific spatial topology distributions.

[0045] However, when the correlation features of multiple sample space topological distribution features and their corresponding sample values ​​are integrated, the significance of the feature distribution information of the training space topological feature matrix and the training temperature correlation pattern feature vector based on their specific feature distribution will be affected, making it difficult to stably focus on the significant local distribution of features when the training topological information doped temperature correlation pattern feature vector is decoded by the decoder, thereby affecting the training speed.

[0046] Based on this, the applicant of the present application corrects the training topology information doped temperature correlation pattern feature vector V each time the training topology information doped temperature correlation pattern feature vector is iterated through decoding regression by the decoder.

[0047] Accordingly, in one example, in each iteration of the training, the training topology information doping temperature correlation pattern feature vector is corrected using the following correction formula to obtain a corrected training topology information doping temperature correlation pattern feature vector; wherein the correction formula is:

[0048] Where V is the characteristic vector of the correlation pattern between the training topological information doping temperature, v i is the i-th eigenvalue of the characteristic vector of the correlation pattern between the training topological information doping temperature, and are the squares of the 1-norm and 2-norm of the training topological information doping temperature correlation pattern feature vector V, L is the length of the training topological information doping temperature correlation pattern feature vector V, and ω is a weight hyperparameter, v i is the eigenvalue of the characteristic vector V of the correlation pattern between the training topological information and the doping temperature, log[·] represents the logarithmic function with base 2, v i ' is the i-th eigenvalue of the characteristic vector of the correlation pattern between the topological information doping and the temperature after correction.

[0049] Specifically, by performing geometric registration of the high-dimensional feature manifold shape based on the scale and structural parameters of the training topological information-doped temperature correlation pattern feature vector V, we can focus on the features with rich feature semantic information in the feature set composed of the eigenvalues ​​of the training topological information-doped temperature correlation pattern feature vector V, that is, the distinguishable and stable interest features based on the dissimilarity of local context information representation when the decoder is decoding, thereby realizing the saliency labeling of feature information in the decoding process and improving the training speed of the decoder.

[0050] In summary, the universal fully automatic calibration device 100 for a blood culture instrument according to an embodiment of the present application is illustrated, which can intelligently generate temperature correction measurement estimation values ​​to achieve automatic calibration of the temperature of the blood culture instrument.

[0051] As described above, the universal fully-automatic calibration device 100 for blood culture instruments based on the embodiment of the present application can be implemented in various terminal devices, such as a server having a universal fully-automatic calibration algorithm for blood culture instruments based on the embodiment of the present application. In one example, the universal fully-automatic calibration device 100 for blood culture instruments based on the embodiment of the present application can be integrated into a terminal device as a software module and / or a hardware module. For example, the universal fully-automatic calibration device 100 for blood culture instruments based on the embodiment of the present application can be a software module in the operating system of the terminal device, or can be an application developed for the terminal device; of course, the universal fully-automatic calibration device 100 for blood culture instruments based on the embodiment of the present application can also be one of the many hardware modules of the terminal device.

[0052] Alternatively, in another example, the universal fully automatic calibration device 100 for a blood culture instrument based on an embodiment of the present application and the terminal device may also be separate devices, and the universal fully automatic calibration device 100 for a blood culture instrument may be connected to the terminal device via a wired and / or wireless network and transmit interactive information in accordance with an agreed data format.

[0053] FIG2 is a flow chart of a universal fully automatic calibration method for a blood culture instrument according to an embodiment of the present application. FIG3 is a schematic diagram of a system architecture of a universal fully automatic calibration method for a blood culture instrument according to an embodiment of the present application. As shown in FIG2 and FIG3, the universal fully automatic calibration method for a blood culture instrument according to an embodiment of the present application includes: S110, obtaining temperature values ​​collected by multiple integrated temperature and illumination sensors; S120, obtaining a spatial topological matrix between the multiple integrated temperature and illumination sensors, wherein the values ​​of each non-diagonal position in the spatial topological matrix are used to represent the spatial distance between the corresponding two integrated temperature and illumination sensors; S130, extracting sample correlation features of the temperature values ​​collected by the multiple integrated temperature and illumination sensors to obtain a temperature correlation pattern feature vector; S140, extracting topological features of the spatial topological matrix to obtain a spatial topological feature matrix; and S150, generating a temperature correction measurement estimate based on the mapping and fusion interaction features of the temperature correlation pattern feature vector and the spatial topological feature matrix.

[0054] Here, those skilled in the art will appreciate that the specific operations of each step in the above-mentioned universal fully automatic calibration method for blood culture instruments have been described in detail in the description of the universal fully automatic calibration device 100 for blood culture instruments with reference to FIG1 above, and therefore, repeated description thereof will be omitted.

[0055] FIG4 is an application scenario diagram of a universal fully automatic calibration device for a blood culture instrument according to an embodiment of the present application. As shown in FIG4 , in this application scenario, first, temperature values ​​collected by multiple integrated temperature and illumination sensors (e.g., D1 as shown in FIG4 ) and spatial distances between the multiple integrated temperature and illumination sensors (e.g., D2 as shown in FIG4 ) are obtained, and then the temperature values ​​collected by the multiple integrated temperature and illumination sensors and the spatial distances between the multiple integrated temperature and illumination sensors are input into a server (e.g., S as shown in FIG4 ) deployed with a universal fully automatic calibration algorithm for a blood culture instrument. The server can use the universal fully automatic calibration algorithm for a blood culture instrument to process the temperature values ​​collected by the multiple integrated temperature and illumination sensors and the spatial distances between the multiple integrated temperature and illumination sensors to obtain a temperature-corrected measurement estimate.

[0056] It should be understood that temperature and optical parameters are the primary calibration parameters for automated blood culture systems. This embodiment describes a universal, fully automatic calibration device for blood culture instruments, comprising a data acquisition system, a data receiving and processing system, and an auxiliary support system. Furthermore, in one embodiment of the present application, the data acquisition system includes nine calibration units.

[0057] As shown in Figures 5 and 6, the calibration unit includes a housing (1), a telescopic second housing (2), a semi-embedded third housing (3), a charging interface (4), an integrated temperature and illumination sensor (5), and a calibration unit circuit module (6). The housing (1) is used to protect the internal structure of the calibration unit; the telescopic second housing (2) is located at the upper end of the calibration unit and is used to adjust the length of the calibration unit to match the inner hole length of blood culture instruments of different specifications; the semi-embedded third housing (3) can be embedded in the outside of the calibration unit and is used to adjust the length of the calibration unit, and can be configured with different sizes to match the inner hole diameter of blood culture instruments of different specifications; the charging interface (4) is located at the bottom of the calibration unit and is used to charge the calibration unit; the integrated temperature and illumination sensor (5) is located at the bottom of the calibration unit and is used to synchronously monitor temperature and illumination data; and the calibration unit circuit module (6) includes a calibration unit battery, a calibration unit circuit board, and a signal transmitter. The calibration unit battery is used to provide energy required for the normal endurance of the calibration unit; the calibration unit circuit board is used to receive temperature and illumination data collected by temperature and illumination sensors; and the signal transmitter is used to wirelessly transmit the temperature and illumination data to a wireless signal receiving device of a computer host (7).

[0058] As shown in FIG7 , the data receiving and processing system includes a computer host (7) and a display module (8). The computer host (7) is located inside the upper cover of the storage box (9) and is equipped with a wireless signal receiving device and a blood culture instrument calibration device software. The wireless signal receiving device is used to collect temperature and illumination data; the blood culture instrument calibration device software is used for calibration unit control, original record table output, and calibration result calculation. The display module (8) is embedded in the upper cover surface of the storage box (9) and is used to view the output information of the computer host (7).

[0059] As shown in FIG7 , the auxiliary support system includes a containing box (9) and a box circuit module (10). The containing box (9) is used to contain the calibration unit, and to embed the computer host (7), the display module (8) and the box circuit module (10), so as to protect the universal fully automatic calibration device of the blood culture instrument from mechanical shock, pressure or humidity. The box circuit module (10) includes a box battery, a calibration unit charging male connector (11) and a box wire. The box battery is located at the lower part of the containing box (9) and is used to provide the energy required for the operation of the universal fully automatic calibration device of the blood culture instrument; the calibration unit charging male connector (11) is located and embedded in the lower surface of the containing box (9), and is provided with a protrusion that matches the calibration unit charging interface (4) for synchronous charging of the calibration unit; the box wire is used to connect the upper cover and the lower part of the containing box (9) and is used to power the computer host (7) and the display module (8).

[0060] Furthermore, a test method is provided. Specifically, after the blood culture instrument to be tested has been working normally for 2 hours, the calibration unit of the calibration device described in this application and the calibration unit of the existing calibration device on the market are placed adjacent to each other in the two middle cabins of the blood culture instrument, and temperature readings are recorded every 30 seconds. The judgment standard for "temperature stability" is: 10 consecutive temperature readings are all within the range of ±0.1°C of the average value of the 10 readings. The time required for the calibration device described in this application and the calibration device available on the market to judge that the blood culture instrument is "temperature stable" is recorded respectively.

[0061] Correspondingly, the results show that the time required for existing calibration devices on the market to determine that the blood culture instrument's temperature is "stable" is 33 minutes, while the calibration device described in this application requires only 8 minutes. Therefore, the temperature measurement efficiency of the calibration device described in this application is significantly better than that of existing calibration devices on the market.

[0062] This application uses specific terms to describe the embodiments of this application. For example, "first / second embodiment", "one embodiment", and / or "some embodiments" refer to a certain feature, structure, or characteristic related to at least one embodiment of this application. Therefore, it should be emphasized and noted that "one embodiment" or "an embodiment" or "an alternative embodiment" mentioned twice or multiple times in different places in this specification does not necessarily refer to the same embodiment. In addition, certain features, structures, or characteristics in one or more embodiments of this application may be appropriately combined.

[0063] In addition, it will be understood by those skilled in the art that various aspects of the present application can be illustrated and described by a number of patentable categories or situations, including any new and useful process, machine, product or combination of substances, or any new and useful improvements thereto. Accordingly, various aspects of the present application can be performed entirely by hardware, entirely by software (including firmware, resident software, microcode, etc.), or by a combination of hardware and software. The above hardware or software may all be referred to as "data blocks", "modules", "engines", "units", "components" or "systems". In addition, various aspects of the present application may be represented as a computer product located in one or more computer-readable media, which includes computer-readable program code.

[0064] Unless otherwise defined, all terms used herein (including technical and scientific terms) have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. It should also be understood that terms such as those defined in common dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology and should not be interpreted in an idealized or highly formal sense, unless explicitly defined as such herein.

[0065] The above is an explanation of the present application and should not be considered as limiting thereof. Although several exemplary embodiments of the present application are described, it will be readily understood by those skilled in the art that many modifications may be made to the exemplary embodiments without departing from the novel teachings and advantages of the present application. Therefore, all such modifications are intended to be included within the scope of the present application as defined by the claims. It should be understood that the above is an explanation of the present application and should not be considered as being limited to the specific embodiments disclosed, and modifications to the disclosed embodiments and other embodiments are intended to be included within the scope of the appended claims. The present application is defined by the claims and their equivalents.

Claims

1. A universal fully automatic calibration device for a blood culture instrument, characterized in that: include: Data acquisition system, data receiving and processing system and auxiliary support system; The data acquisition system includes a plurality of calibration units, each of which includes a housing assembly, a charging interface mounted on the housing assembly, an integrated temperature and illumination sensor, and a calibration unit circuit module; The data receiving and processing system includes a computer host and a display module electrically connected to the computer host; The auxiliary support system includes a containing box and a box circuit module installed on the containing box.

2. The universal fully automatic calibration device for blood culture instrument according to claim 1, characterized in that: The calibration unit circuit module includes: a data acquisition unit, configured to acquire temperature values collected by the plurality of integrated temperature and illumination sensors; a spatial topology matrix acquisition unit, configured to acquire a spatial topology matrix between the plurality of integrated temperature and illumination sensors, wherein the value of each non-diagonal position in the spatial topology matrix is used to represent the spatial distance between the corresponding two integrated temperature and illumination sensors; a sample correlation feature extraction unit, configured to extract sample correlation features of the temperature values collected by the plurality of integrated temperature and illumination sensors to obtain a temperature correlation pattern feature vector; a topological feature extraction unit, configured to extract the topological features of the spatial topological matrix to obtain a spatial topological feature matrix; and The temperature-corrected measurement estimation value generating unit is used to generate a temperature-corrected measurement estimation value based on the mapping fusion interaction features of the temperature correlation pattern feature vector and the spatial topology feature matrix.

3. The universal fully automatic calibration device for blood culture instrument according to claim 2, characterized in that: The sample association feature extraction unit includes: a vectorization subunit, configured to arrange the temperature values collected by the plurality of integrated temperature and illumination sensors into a temperature input vector according to a sample dimension; and The temperature implicit correlation pattern feature extraction subunit is used to pass the temperature input vector through the temperature implicit correlation pattern feature extractor based on a one-dimensional convolution layer to obtain the temperature correlation pattern feature vector.

4. The universal fully automatic calibration device for blood culture instrument according to claim 3, characterized in that: The topological feature extraction unit is used to: The spatial topology matrix is passed through an inter-sensor spatial topology feature extractor based on a convolutional neural network model to obtain the spatial topology feature matrix.

5. The universal fully automatic calibration device for blood culture instrument according to claim 4, characterized in that: The temperature-corrected measurement estimate generating unit comprises: a spatial mapping fusion subunit, configured to use a spatial mapping fuser to process the spatial topological feature matrix and the temperature correlation pattern feature vector to obtain a topological information-doped temperature correlation pattern feature vector; and The decoding subunit is configured to mix the topology information with the temperature correlation pattern feature vector and pass it through a decoder-based temperature correction measurement estimate generator to obtain a temperature correction measurement estimate.

6. The universal fully automatic calibration device for blood culture instrument according to claim 5, characterized in that: The spatial mapping fusion subunit includes: a first convolution secondary subunit, configured to pass the temperature correlation pattern feature vector through a point convolution layer to obtain a first convolution feature vector; a first corrected secondary subunit, configured to pass the first convolution feature vector through a corrected linear unit based on a ReLU function to obtain a first corrected convolution feature vector; a second convolution secondary subunit, configured to pass the first modified convolution feature vector through a point convolution layer to obtain a second convolution feature vector; a second corrected secondary subunit, configured to pass the second convolution feature vector through a corrected linear unit based on a Sigmoid function to obtain a second corrected convolution feature vector; A convolutional coding secondary subunit, configured to pass the spatial topological feature matrix through a CNN model to obtain a high-dimensional implicit feature map; and A fusion secondary subunit is used to fuse the second modified convolution feature vector and the high-dimensional implicit feature map to obtain the topological information doping temperature correlation pattern feature vector.

7. The universal fully automatic calibration device for blood culture instrument according to claim 6, characterized in that: The decoding subunit is configured to: The temperature-corrected measurement estimate value is obtained by decoding and regressing the topology information-doped temperature correlation pattern feature vector using the multiple fully connected layers of the decoder-based temperature-corrected measurement estimate generator using the following decoding formula, wherein the decoding formula is: Wherein, V1 is the characteristic vector of the correlation pattern between the topological information doping and temperature, Y is the temperature correction measurement estimate, M1 is the weight matrix, B is the bias vector, represents matrix multiplication and h(·) is the activation function.

8. The universal fully automatic calibration device for blood culture apparatus according to claim 7, characterized in that: It also includes a training module for training the temperature implicit correlation pattern feature extractor based on the one-dimensional convolution layer, the inter-sensor spatial topology feature extractor based on the convolutional neural network model, the spatial mapping fusion device and the decoder-based temperature correction measurement estimation value generator.

9. The universal fully automatic calibration device for blood culture instrument according to claim 8, characterized in that: The training module includes: a training data acquisition unit, configured to acquire training data, the training data comprising training temperature values collected by the plurality of integrated temperature and illuminance sensors, a training space topology matrix between the plurality of integrated temperature and illuminance sensors, and a true value of a temperature-corrected measurement estimate; a training temperature implicit correlation pattern feature extraction unit, configured to arrange the training temperature values collected by the plurality of integrated temperature and illumination sensors into a training temperature input vector according to a sample dimension, and then pass the training temperature input vector through the temperature implicit correlation pattern feature extractor based on the one-dimensional convolution layer to obtain a training temperature correlation pattern feature vector; A training inter-sensor spatial topology feature extraction unit, configured to pass the training spatial topology matrix through the inter-sensor spatial topology feature extractor based on the convolutional neural network model to obtain a training spatial topology feature matrix; A training space mapping fusion unit, configured to use the space mapping fuser to process the training space topology feature matrix and the training temperature correlation pattern feature vector to obtain a training topology information-doped temperature correlation pattern feature vector; a decoding loss function value generating unit, configured to pass the training topology information doped with the temperature correlation pattern feature vector through the decoder-based temperature-corrected measurement estimate value generator to obtain a decoding loss function value; and A loss training unit is used to train the temperature implicit correlation pattern feature extractor based on the one-dimensional convolution layer, the inter-sensor spatial topology feature extractor based on the convolutional neural network model, the spatial mapping fusion device and the decoder-based temperature correction measurement estimate generator using the decoding loss function value, wherein in each round of training iteration, the training topology information-doped temperature correlation pattern feature vector is corrected.

10. A universal fully automatic calibration method for a blood culture instrument, characterized in that: include: Acquire temperature values collected by multiple integrated temperature and illuminance sensors; Obtaining a spatial topology matrix between the plurality of integrated temperature and illumination sensors, wherein a value at each non-diagonal position in the spatial topology matrix is used to represent a spatial distance between corresponding two integrated temperature and illumination sensors; Extracting sample correlation features of temperature values collected by a plurality of the integrated temperature and illumination sensors to obtain a temperature correlation pattern feature vector; extracting topological features of the spatial topological matrix to obtain a spatial topological feature matrix; and A temperature-corrected measurement estimate is generated based on the mapping and fusion interaction features of the temperature correlation pattern feature vector and the spatial topology feature matrix.

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