Real-time monitoring method of biological laboratory safety based on sensor network

Abstract

The present invention relates to the field of laboratory safety monitoring technology, and in particular to a biological laboratory safety real-time monitoring method based on a sensor network. The method comprises: collecting a first image when a biological specimen begins to be preserved and a second image when a biological specimen fixative fails, and simultaneously collecting a third image in a preservation state of the biological specimen in real time; preprocessing the first, second and third images, calculating a first failure value and a second failure value of the biological specimen, and then obtaining an image failure value of the biological specimen; collecting in real time the types and contents of gases generated in a preservation state of the biological specimen, and simultaneously collecting changes in the contents of different types of gases when a biological specimen fixative fails; calculating an odor failure value of the biological specimen according to changes in the types and contents of the gases, and then obtaining a failure value of the current biological specimen and issuing an early warning.

Description

Background Art

[0002] Biospecimen monitoring technologies in biological laboratories are mainly used to ensure the quality, safety and traceability of biological samples. These monitoring technologies are very important in modern laboratories because they can help scientists and experimenters precisely control experimental conditions and prevent specimens from deteriorating or being damaged. Biological specimens usually need to be stored in a specific temperature, humidity and gas environment to avoid environmental fluctuations that may cause specimen failure or degradation. To this end, laboratories usually use environmental monitoring systems that can monitor and record various laboratory parameters in real time.

[0003] Problems in existing technologies: Although existing monitoring technologies can monitor environmental parameters, the monitoring is often unstable, the data accuracy is not high, or the early warning is delayed, and it is easy to contaminate biological specimens or cause biological specimens to leak. Summary of the invention

[0004] The main purpose of the present invention is to provide a real-time monitoring method for biological laboratory safety based on a sensor network, in order to quickly and effectively identify the current state of biological specimens in the biological laboratory, determine whether it is necessary to timely update the biological specimen fixative, and accurately collect information based on the current characteristics of the biological specimen. By collecting a first image when the biological specimen begins to be preserved and a second image when the biological specimen fixative fails, a third image of the biological specimen in a preservation state is collected in real time; the first, second, and third images are preprocessed, and a first failure value and a second failure value of the biological specimen are calculated, thereby obtaining an image failure value of the biological specimen; the types and gas contents of gases generated in the preservation state of the biological specimen are collected in real time, and changes in the contents of different types of gases when the biological specimen fixative fails are collected; according to changes in gas types and gas contents, the odor failure value of the biological specimen is calculated, thereby obtaining the failure value of the current biological specimen and issuing an early warning, thereby effectively solving the above-mentioned problems mentioned in the background technology.

[0005] The technical solution of the present invention is as follows:

[0006] In the first aspect, a biological laboratory safety real-time monitoring method based on a sensor network is proposed, and the method comprises the following steps:

[0007] S1, collecting a first image when the biological specimen begins to be preserved and a second image when the biological specimen fixative fails, and simultaneously collecting a third image in real time when the biological specimen is in a preservation state;

[0008] S2, preprocessing the first, second, and third images, calculating a first failure value and a second failure value of the biological specimen, and then obtaining an image failure value of the biological specimen;

[0009] S3, real-time collection of gas types and gas contents generated when biological specimens are preserved, and at the same time, the changes in the contents of different types of gases when the fixative of biological specimens fails;

[0010] S4. According to the changes in gas type and gas content, the odor failure value of the biological specimen is calculated, and then the failure value of the current biological specimen is obtained and an early warning is issued.

[0011] A further improvement of the present invention is that the specific content of the preprocessing in S2 is: dividing the first, second and third images into pixels and extracting the pixel values ​​of the single pixels to form the pixel value sequence of the first image respectively. The second image pixel value sequence The third image pixel value sequence in, Represents the pixel value of the i-th pixel in the j-th image;

[0012] A further improvement of the present invention is that the step of calculating the first failure value of the biological specimen in S2 comprises the following specific steps:

[0013] S21: The time interval t from the start of the biological specimen preservation to the expiration of the biological specimen fixative, and the time interval t from the start of the biological specimen preservation to the acquisition of the third image. 13 ;

[0014] S22: Calculate the first failure ratio q1 between the first image and the second image, and the calculation formula is: At the same time, the first failure ratio q2 between the first image and the third image is calculated, and the calculation formula is:

[0015] S23: Calculate the first failure ratio v1 between the first image and the second image, and the calculation formula is: At the same time, the first failure ratio v2 between the first image and the third image is calculated, and the calculation formula is:

[0016] S24. Calculate the first failure value of the biological specimen.

[0017] A further improvement of the present invention is that the calculation formula of the first failure value in S24 is:

[0018]

[0019] Wherein, I1 represents the first failure value of the biological specimen.

[0020] A further improvement of the present invention is that the step of calculating the second failure value of the biological specimen in S2 comprises the following specific steps:

[0021] S25, preset pixel value change threshold c, obtain the pixel value in the second image The number of pixels n2 in the third image is obtained at the same time The number of pixels n3;

[0022] S26, calculating the second failure ratio s1 between the first image and the second image, the calculation formula is: At the same time, the second failure ratio s2 between the first image and the third image is calculated, and the calculation formula is:

[0023] S27. Calculate the second failure value of the biological specimen.

[0024] A further improvement of the present invention is that the calculation formula of the second failure value in S27 is:

[0025]

[0026] Wherein, I2 represents the second failure value of the biological specimen.

[0027] A further improvement of the present invention is that the image failure value of the biological specimen in S2 is the sum of the first failure value and the second failure value of the biological specimen.

[0028] A further improvement of the present invention is that S4 comprises the following specific steps:

[0029] S41, extract biological specimens and start to store them until the time interval t 13 The m gases produced and their contents in, Indicates that the biological specimen begins to be stored until the time interval t 13 At the same time, the content of m gases when the biological specimen fixative fails is obtained. in, It indicates the content of the jth gas when the biological specimen fixative fails;

[0030] S42. Calculate the odor failure value I3 of the biological specimen using the following formula:

[0031] A further improvement of the present invention is that the S4 further includes:

[0032] S5. Calculate the failure value of the current biological specimen using the formula: I = α(I1+I2)+βI3; wherein α is the influencing factor of the image failure value, β is the influencing factor of the odor failure value, and α+β=1; issue a warning when the failure value of the biological specimen is greater than or equal to the failure value threshold.

[0033] In a second aspect, a computer-readable storage medium is proposed, on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned biological laboratory safety real-time monitoring method based on a sensor network is implemented.

[0034] In a third aspect, an electronic device is proposed, comprising a memory for storing instructions; and a processor for executing the instructions, so that the device implements the above-mentioned sensor network-based biological laboratory safety real-time monitoring method.

[0035] The technical effects of the present invention are as follows:

[0036] A biological laboratory safety real-time monitoring method based on sensor network is constructed, with the goal of solving the contamination monitoring problem of biological specimens in biological laboratories. The first image when the biological specimen begins to be preserved and the second image when the biological specimen fixative fails are collected, and the third image of the biological specimen in the preservation state is collected in real time; the first, second and third images are preprocessed, and the first failure value and the second failure value of the biological specimen are calculated, and then the image failure value of the biological specimen is obtained; the gas type and gas content generated in the preservation state of the biological specimen are collected in real time, and the content changes of different types of gases when the biological specimen fixative fails are collected; according to the changes in gas type and gas content, the odor failure value of the biological specimen is calculated, and then the failure value of the current biological specimen is obtained and an early warning is issued, so as to quickly and effectively identify the current state of the biological specimen in the biological laboratory, judge whether the biological specimen fixative needs to be updated in time, and collect accurate information based on the current characteristics of the biological specimen, effectively improve the efficiency of biological laboratory monitoring, and judge the state of the biological specimen in time, which has practical guiding significance for the field of biological laboratory monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings:

[0038] Figure 1 This is a flow chart of a sensor network-based real-time monitoring method for biological laboratory safety according to Example 1 of the present invention. DETAILED DESCRIPTION

[0039] Example 1

[0040] This embodiment proposes a biological laboratory safety real-time monitoring method based on a sensor network, with the goal of solving the problem of contamination monitoring of biological specimens in biological laboratories. By collecting a first image when the biological specimen begins to be preserved and a second image when the biological specimen fixative fails, a third image of the biological specimen in a preservation state is collected in real time; the first, second, and third images are preprocessed, and a first failure value and a second failure value of the biological specimen are calculated, thereby obtaining an image failure value of the biological specimen; the type and content of the gas generated in the preservation state of the biological specimen are collected in real time, and the content changes of different types of gases when the biological specimen fixative fails are collected; according to the changes in the type and content of the gas, the odor failure value of the biological specimen is calculated, thereby obtaining the failure value of the current biological specimen and issuing an early warning, quickly and effectively identifying the current state of the biological specimen in the biological laboratory, judging whether the biological specimen fixative needs to be updated in a timely manner, and accurately collecting information based on the current characteristics of the biological specimen, thereby effectively improving the efficiency of biological laboratory monitoring, and judging the state of the biological specimen in a timely manner, which has practical guiding significance for the field of biological laboratory monitoring.

[0041] Specifically, Figure 1 As shown, the biological laboratory safety real-time monitoring method based on the sensor network proposed in this embodiment includes the following specific steps:

[0042] S1, collecting a first image when the biological specimen begins to be preserved and a second image when the biological specimen fixative fails, and simultaneously collecting a third image in real time when the biological specimen is in a preservation state;

[0043] S2, preprocessing the first, second, and third images, calculating a first failure value and a second failure value of the biological specimen, and then obtaining an image failure value of the biological specimen;

[0044] S3, real-time collection of gas types and gas contents generated when biological specimens are preserved, and at the same time, the changes in the contents of different types of gases when the fixative of biological specimens fails;

[0045] S4. According to the changes in gas type and gas content, the odor failure value of the biological specimen is calculated, and then the failure value of the current biological specimen is obtained and an early warning is issued.

[0046] In this embodiment, the specific content of the preprocessing in S2 is: dividing the first, second and third images into pixels and extracting the pixel values ​​of single pixels to form the pixel value sequences of the first image respectively. The second image pixel value sequence The third image pixel value sequence in, Represents the pixel value of the i-th pixel in the j-th image;

[0047] In this embodiment, calculating the first failure value of the biological specimen in S2 includes the following specific steps:

[0048] S21: The time interval t from the start of the biological specimen preservation to the expiration of the biological specimen fixative, and the time interval t from the start of the biological specimen preservation to the acquisition of the third image. 13 ;

[0049] S22: Calculate the first failure ratio q1 between the first image and the second image, and the calculation formula is: At the same time, the first failure ratio q2 between the first image and the third image is calculated, and the calculation formula is:

[0050] S23: Calculate the first failure ratio v1 between the first image and the second image, and the calculation formula is: At the same time, the first failure ratio v2 between the first image and the third image is calculated, and the calculation formula is:

[0051] S24. Calculate the first failure value of the biological specimen.

[0052] In this embodiment, the calculation formula of the first failure value in S24 is:

[0053]

[0054] Wherein, I1 represents the first failure value of the biological specimen.

[0055] In this embodiment, calculating the second failure value of the biological specimen in S2 includes the following specific steps:

[0056] S25, preset pixel value change threshold c, obtain the pixel value in the second image The number of pixels n2 in the third image is obtained at the same time The number of pixels n3;

[0057] S26, calculating the second failure ratio s1 between the first image and the second image, the calculation formula is: At the same time, the second failure ratio s2 between the first image and the third image is calculated, and the calculation formula is:

[0058] S27. Calculate the second failure value of the biological specimen.

[0059] In this embodiment, the calculation formula of the second failure value in S27 is:

[0060]

[0061] Wherein, I2 represents the second failure value of the biological specimen.

[0062] In this embodiment, the image failure value of the biological specimen in S2 is the sum of the first failure value and the second failure value of the biological specimen.

[0063] In this embodiment, S4 includes the following specific steps:

[0064] S41, extract biological specimens and start to store them until the time interval t 13 The m gases produced and their contents in, Indicates that the biological specimen begins to be stored until the time interval t 13 At the same time, the content of m gases when the biological specimen fixative fails is obtained. in, It indicates the content of the jth gas when the biological specimen fixative fails;

[0065] S42. Calculate the odor failure value I3 of the biological specimen using the following formula:

[0066] In this embodiment, S4 further includes:

[0067] S5. Calculate the failure value of the current biological specimen using the formula: I = α(I1+I2)+βI3; wherein α is the influencing factor of the image failure value, β is the influencing factor of the odor failure value, and α+β=1; issue a warning when the failure value of the biological specimen is greater than or equal to the failure value threshold.

[0068] Example 2

[0069] This embodiment provides an electronic device, including: a processor and a memory, wherein the memory stores a computer program that can be called by the processor; the processor executes the above-mentioned sensor network-based biological laboratory safety real-time monitoring method by calling the computer program stored in the memory.

[0070] The electronic device may have relatively large differences due to different configurations or performances, and may include one or more processors (Central Processing Units, CPU) and one or more memories, wherein at least one computer program is stored in the memory, and the computer program is loaded and executed by the processor to implement the real-time monitoring method for biological laboratory safety based on a sensor network provided by the above method embodiment. The electronic device may also include other components for implementing the functions of the device, for example, the electronic device may also have components such as a wired or wireless network interface and an input and output interface, so as to input and output data. This embodiment will not be described in detail here.

[0071] Those skilled in the art know that the present invention can be implemented as a system, method or computer program product. Therefore, the present disclosure can be specifically implemented in the following forms, namely: it can be complete hardware, it can be complete software (including firmware, resident software, microcode, etc.), and it can also be a combination of hardware and software, which is generally referred to as "circuit", "module" or "system" herein. In addition, in some embodiments, the present invention can also be implemented in the form of a computer program product in one or more computer-readable media, and the computer-readable medium contains computer-readable program code.

[0072] Any combination of one or more computer-readable media may be used. A computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any combination thereof. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in conjunction with an instruction execution system, device, or device.

[0073] The present invention is described with reference to flowcharts and block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process or block in the flowchart and block diagram, as well as the combination of processes and blocks in the flowchart or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts. Figure 1 Process or multiple processes and boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0074] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 Process or multiple processes and boxes Figure 1The steps for the functions specified in one or more boxes.

[0075] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the enlightenment of the present invention, ordinary technicians in this field can also make many forms without departing from the scope of protection of the purpose of the present invention and the claims, which all fall within the protection of the present invention.

Claims

1. A biological laboratory safety real-time monitoring method based on a sensor network, characterized in that: The specific steps include: S1, collecting a first image when the biological specimen begins to be preserved and a second image when the biological specimen fixative fails, and simultaneously collecting a third image in real time when the biological specimen is in a preservation state; S2, preprocessing the first, second, and third images, calculating a first failure value and a second failure value of the biological specimen, and then obtaining an image failure value of the biological specimen; S3, real-time collection of gas types and gas contents generated when biological specimens are preserved, and at the same time, the changes in the contents of different types of gases when the fixative of biological specimens fails; S4. Calculate the odor failure value of the biological specimen according to the changes in gas type and gas content, and then obtain the failure value of the current biological specimen and issue an early warning; The specific content of the preprocessing in S2 is: dividing the first, second and third images into pixels and extracting the pixel values ​​of single pixels to form the pixel value sequence of the first image respectively. The second image pixel value sequence The third image pixel value sequence in, Represents the pixel value of the i-th pixel in the j-th image; Calculating the first failure value of the biological specimen in S2 includes the following specific steps: S21: The time interval t from the start of the biological specimen preservation to the expiration of the biological specimen fixative, and the time interval t from the start of the biological specimen preservation to the acquisition of the third image. 13 ; S22: Calculate the first failure ratio q1 between the first image and the second image, and the calculation formula is: At the same time, the first failure ratio q2 between the first image and the third image is calculated, and the calculation formula is: S23: Calculate the first failure ratio v1 between the first image and the second image, and the calculation formula is: At the same time, the first failure ratio v2 between the first image and the third image is calculated, and the calculation formula is: S24, calculating a first failure value of the biological specimen; The calculation formula of the first failure value in S24 is: Where I1 represents the first failure value of the biological specimen; Calculating the second failure value of the biological specimen in S2 includes the following specific steps: S25, preset pixel value change threshold c, obtain the pixel value in the second image The number of pixels n2 in the third image is obtained at the same time The number of pixels n3; S26, calculating the second failure ratio s1 between the first image and the second image, the calculation formula is: At the same time, the second failure ratio s2 between the first image and the third image is calculated, and the calculation formula is: S27. Calculate the second failure value of the biological specimen.

2. The method for real-time monitoring of biological laboratory safety based on a sensor network according to claim 1 is characterized in that: The calculation formula of the second failure value in S27 is: Wherein, I2 represents the second failure value of the biological specimen.

3. The method for real-time monitoring of biological laboratory safety based on a sensor network according to claim 2 is characterized in that: The image failure value of the biological specimen in S2 is the sum of the first failure value and the second failure value of the biological specimen.

4. The method for real-time monitoring of biological laboratory safety based on a sensor network according to claim 3 is characterized in that: The S4 comprises the following specific steps: S41, extract biological specimens and start to store them for a time interval t 13 The m gases produced and their contents in, Indicates that the biological specimen begins to be stored until the time interval t 13 At the same time, the content of m gases when the biological specimen fixative fails is obtained. in, It indicates the content of the jth gas when the biological specimen fixative fails; S42. Calculate the odor failure value I3 of the biological specimen using the following formula:

5. The method for real-time monitoring of biological laboratory safety based on a sensor network according to claim 4 is characterized in that: The S4 further comprises: S5. Calculate the failure value of the current biological specimen using the formula: I = α(I1+I2)+βI3; wherein α is the influencing factor of the image failure value, β is the influencing factor of the odor failure value, and α+β=1; issue a warning when the failure value of the biological specimen is greater than or equal to the failure value threshold.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the sensor network-based real-time monitoring method for biological laboratory safety as described in any one of claims 1 to 5 is implemented.

7. An electronic device, characterized in that: It includes a memory for storing instructions; a processor for executing the instructions, so that the device implements the biological laboratory safety real-time monitoring method based on a sensor network as described in any one of claims 1 to 5.

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