Laboratory safety monitoring management system and method

Abstract

The invention relates to the technical field of safety monitoring, in particular to a laboratory safety monitoring management system and method, and the method comprises the steps: tracking an experiment link of a current experiment in a laboratory, and obtaining real-time visual feature data; acquiring historical visual feature data of historical experiment links of the current experiment in n historical effective experiments; calculating a first difference value and a second difference value of the current experiment according to the real-time visual feature data and the historical visual feature data; and according to the calculation results of the first difference value and the second difference value, calculating the comprehensive difference value of the current experiment, and orderly monitoring the experiment links. According to the method, abnormal conditions in the experiment process are found in time, the current experiment state is judged more accurately, the specific experiment link where the problem is located is located quickly, blind or full-range troubleshooting is avoided, and time and resources are saved.

Description

Background Art

[0002] Laboratories are the core places for scientific research and technological development, involving various chemical, biological, and physical experiments, which often involve the use of hazardous materials, high-precision equipment, and complex operating procedures. Modern laboratory management is developing in a data-driven direction. By collecting and analyzing a large amount of experimental data, laboratories can control the experimental process more accurately and reduce the risk of experimental failure.

[0003] Problems existing in existing technologies: Traditional experimental monitoring methods often rely on manual observation and post-data analysis, which can easily lead to the failure to promptly discover and handle abnormalities during the experiment. In addition, many experiments involve repetitive operations, but the experimental conditions, personnel operations, etc. may vary, making it impossible to accurately judge the experimental status. Moreover, existing technologies often rely solely on a single indicator for possible problems during the experiment, which can easily lead to misjudgment or omission. Summary of the invention

[0004] The main purpose of the present invention is to provide a laboratory safety monitoring management method, and further to provide a laboratory safety monitoring management system capable of running and implementing the above method, so as to effectively solve the above problems mentioned in the background technology.

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

[0006] First, a laboratory safety monitoring management method is proposed, which includes the following steps:

[0007] S1. Track the experimental phase of the current experiment in the laboratory and obtain real-time visual feature data;

[0008] S2, obtaining the historical visual feature data of the historical experimental links in the historical n valid experiments of the current experiment;

[0009] S3, calculating the first difference value and the second difference value of the current experiment according to the real-time visual feature data and the historical visual feature data;

[0010] S4. Calculate the comprehensive difference value of the current experiment based on the calculation results of the first difference value and the second difference value, and monitor the experimental links in an orderly manner.

[0011] A further improvement of the present invention is that the real-time visual features of the experiment phase in S1 include: real-time experimenter quantity data x i0 , Real-time running equipment quantity data i0 , real-time experimental output data w i0 、Experimental results expected data a i0 ; where x i0The real-time data of the number of experimenters in the i-th phase of the current experiment; y i0 is the real-time running equipment quantity data of the i-th phase of the current experiment; w i0 Output data of the real-time experiment of the i-th phase of the current experiment; a i0 It is the expected data of the experimental results of the i-th phase of the current experiment.

[0012] A further improvement of the present invention is that the historical visual feature data in S2 specifically includes: the historical experimenter number data (x i1 ,x i2 ,…,x ij ), historical operating equipment quantity data (y i1 ,y i2 ,…,y ij ), historical experimental output data (w i1 ,w i2 ,…,w ij ), historical experimental results expected data (a i1 ,a i2 ,…,a ij ), where x ij is the number of experimenters in the i-th stage of the j-th valid experiment in history; y ij is the number of running equipment in the i-th link in the j-th valid experiment in history; w ij is the experimental output data of the i-th link in the j-th valid experiment in history; a ij It is the expected data of the experimental results of the i-th link in the j-th valid experiment in history.

[0013] A further improvement of the present invention is that the calculation formula of the first difference value in S3 is:

[0014]

[0015] in, is the first difference value of the i-th phase of the current experiment, I 1 is the first difference value between the current experiment and the historical valid experiments, α1 is the proportion coefficient of the number of real-time experiment personnel in the current experiment, α2 is the proportion coefficient of the number of real-time running equipment in the current experiment; α3 is the proportion coefficient of the real-time experiment output data in the current experiment, α1+α2+α3=1.

[0016] A further improvement of the present invention is that the specific formula for calculating the second difference value in S3 is:

[0017]

[0018] Among them, I 2 is the second difference value of the current experiment;

[0019] A further improvement of the present invention is that the calculation formula of the comprehensive difference value in S4 is:

[0020] I=β1I 1 +β2I 2 ;

[0021] Among them, I is the comprehensive difference value between the current experiment and n historical effective experiments, β1 is the proportion coefficient of the first difference value, and β2 is the proportion coefficient of the second difference value; β1+β2=1.

[0022] A further improvement of the present invention is that the orderly monitoring of the experimental links in S4 comprises the following specific steps:

[0023] S41, preset the difference value threshold θ, compare the size relationship between the comprehensive difference value I and the difference value threshold θ, if I<θ, the current experiment is a qualified experiment, if I≥θ, reversely monitor the comprehensive difference value I of the mth link of the current experiment m , compare I m The relationship with the difference value threshold θ;

[0024] S42, if I m <θ, then the mth experimental link is a qualified link. If I m ≥θ, then the mth experimental link is an unqualified link, and the comprehensive difference value I of the m-1th link of the current experiment is reversely monitored. m-1 , compare I m-1 The relationship with the difference value threshold θ;

[0025] S43. Repeat the above steps until the monitoring covers all m experimental links of the current experiment, and all unqualified links are screened out for orderly monitoring.

[0026] Secondly, a laboratory safety monitoring and management system is proposed, which includes:

[0027] Real-time monitoring module, history collection module, difference calculation module and difference monitoring module;

[0028] The real-time monitoring module is used to track the experimental links of the current experiment in the laboratory and obtain real-time visual feature data;

[0029] The history acquisition module is used to obtain the historical visual feature data of the historical experiment links of the current experiment in the historical n valid experiments;

[0030] The difference calculation module is used to calculate the first difference value and the second difference value of the current experiment based on the real-time visual feature data and the historical visual feature data;

[0031] The difference monitoring module is used to calculate the comprehensive difference value of the current experiment according to the calculation results of the first difference value and the second difference value, and to monitor the experimental links in an orderly manner.

[0032] The technical effects of the present invention are as follows:

[0033] A laboratory safety monitoring management method was constructed. By tracking the experimental links of the current experiment in the laboratory, real-time visual feature data was obtained; historical visual feature data of the historical experimental links of the current experiment in the historical n valid experiments were obtained; the first difference value and the second difference value of the current experiment were calculated based on the real-time visual feature data and the historical visual feature data; the comprehensive difference value of the current experiment was calculated based on the calculation results of the first difference value and the second difference value, and the experimental links were monitored in an orderly manner. This method can timely discover abnormal situations in the experimental process, more accurately judge the status of the current experiment, quickly locate the specific experimental link where the problem is, avoid blind or full-range investigations, and save time and resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] 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:

[0035] Figure 1 This is a flow chart of a laboratory safety monitoring management method according to Embodiment 1 of the present invention;

[0036] Figure 2 This is a schematic diagram of the structure of the laboratory safety monitoring and management system of Example 2 of the present invention. DETAILED DESCRIPTION

[0037] Embodiment 1:

[0038] This embodiment aims to solve the problem that the traditional experimental monitoring method causes the anomalies in the experimental process to fail to be discovered and handled in time, and the experimental status cannot be accurately judged. It constructs a laboratory safety monitoring management method, which obtains real-time visual feature data by tracking the experimental links of the current experiment in the laboratory; obtains the historical visual feature data of the historical experimental links in the historical n valid experiments of the current experiment; calculates the first difference value and the second difference value of the current experiment based on the real-time visual feature data and the historical visual feature data; calculates the comprehensive difference value of the current experiment based on the calculation results of the first difference value and the second difference value, and monitors the experimental links in an orderly manner. This method can timely discover abnormal situations in the experimental process, more accurately judge the status of the current experiment, quickly locate the specific experimental link where the problem is, avoid blind or full-range investigations, and save time and resources.

[0039] Laboratory safety monitoring management methods, such as Figure 1 As shown, the following specific steps are included:

[0040] S1. Track the experimental phase of the current experiment in the laboratory and obtain real-time visual feature data;

[0041] S2, obtaining the historical visual feature data of the historical experimental links in the historical n valid experiments of the current experiment;

[0042] S3, calculating the first difference value and the second difference value of the current experiment according to the real-time visual feature data and the historical visual feature data;

[0043] S4. Calculate the comprehensive difference value of the current experiment based on the calculation results of the first difference value and the second difference value, and monitor the experimental links in an orderly manner.

[0044] In this embodiment, the real-time visual features of the experiment phase in S1 include: real-time experimenter quantity data x i0 , Real-time running equipment quantity data i0 , real-time experimental output data w i0 、Experimental results expected data a i0 ; where x i0 The real-time data of the number of experimenters in the i-th phase of the current experiment; y i0 is the real-time running equipment quantity data of the i-th phase of the current experiment; w i0 Output data of the real-time experiment of the i-th phase of the current experiment; a i0 It is the expected data of the experimental results of the i-th phase of the current experiment.

[0045] In this embodiment, the historical visual feature data in S2 specifically includes: the historical experimental personnel number data (x i1 ,x i2 ,…,x ij ), historical operating equipment quantity data (y i1 ,y i2 ,…,y ij ), historical experimental output data (w i1 ,w i2 ,…,w ij ), historical experimental results expected data (a i1 ,a i2 ,…,a ij ), where x ij is the number of experimenters in the i-th stage of the j-th valid experiment in history; y ij is the number of running equipment in the i-th link in the j-th valid experiment in history; w ij is the experimental output data of the i-th link in the j-th valid experiment in history; a ij It is the expected data of the experimental results of the i-th link in the j-th valid experiment in history.

[0046] In this embodiment, the calculation formula of the first difference value in S3 is:

[0047]

[0048] in, is the first difference value of the i-th phase of the current experiment, I 1 is the first difference value between the current experiment and the historical valid experiments, α1 is the proportion coefficient of the number of real-time experiment personnel in the current experiment, α2 is the proportion coefficient of the number of real-time running equipment in the current experiment; α3 is the proportion coefficient of the real-time experiment output data in the current experiment, α1+α2+α3=1.

[0049] In this embodiment, the specific formula for calculating the second difference value in S3 is:

[0050]

[0051] Among them, I 2 is the second difference value of the current experiment;

[0052] In this embodiment, the calculation formula of the comprehensive difference value in S4 is:

[0053] I=β1I 1 +β2I 2 ;

[0054] Among them, I is the comprehensive difference value between the current experiment and n historical effective experiments, β1 is the proportion coefficient of the first difference value, and β2 is the proportion coefficient of the second difference value; β1+β2=1.

[0055] In this embodiment, orderly monitoring of the experimental links in S4 includes the following specific steps:

[0056] S41, preset the difference value threshold θ, compare the size relationship between the comprehensive difference value I and the difference value threshold θ, if I<θ, the current experiment is a qualified experiment, if I≥θ, reversely monitor the comprehensive difference value I of the mth link of the current experiment m , compare I m The relationship with the difference value threshold θ;

[0057] S42, if I m <θ, then the mth experimental link is a qualified link. If I m ≥θ, then the mth experimental link is an unqualified link, and the comprehensive difference value I of the m-1th link of the current experiment is reversely monitored. m-1 , compare I m-1 The relationship with the difference value threshold θ;

[0058] S43. Repeat the above steps until the monitoring covers all m experimental links of the current experiment, and all unqualified links are screened out for orderly monitoring.

[0059] Embodiment 2:

[0060] This embodiment proposes a laboratory safety monitoring and management system, such as Figure 2 As shown, it includes: real-time monitoring module, history collection module, difference calculation module and difference monitoring module;

[0061] The real-time monitoring module is used to track the experimental links of the current experiment in the laboratory and obtain real-time visual feature data;

[0062] The history acquisition module is used to obtain the historical visual feature data of the historical experiment links of the current experiment in the historical n valid experiments;

[0063] The difference calculation module is used to calculate the first difference value and the second difference value of the current experiment based on the real-time visual feature data and the historical visual feature data;

[0064] The difference monitoring module is used to calculate the comprehensive difference value of the current experiment according to the calculation results of the first difference value and the second difference value, and to monitor the experimental links in an orderly manner.

[0065] In this embodiment, the real-time visual features of the experiment phase include: real-time experimenter quantity data xi0 , Real-time running equipment quantity data i0 , real-time experimental output data w i0 、Experimental results expected data a i0 ; where x i0 The real-time data of the number of experimenters in the i-th phase of the current experiment; y i0 is the real-time running equipment quantity data of the i-th phase of the current experiment; w i0 Output data of the real-time experiment of the i-th phase of the current experiment; a i0 It is the expected data of the experimental results of the i-th phase of the current experiment.

[0066] In this embodiment, the historical visual feature data specifically includes: the historical experimental personnel number data (x i1 ,x i2 ,…,x ij ), historical operating equipment quantity data (y i1 ,y n2 ,…,y ij ), historical experimental output data (w i1 ,w i2 ,…,w ij ), historical experimental results expected data (a i1 ,a i2 ,…,a ij ), where x ij is the number of experimenters in the i-th stage of the j-th valid experiment in history; y ij is the number of running equipment in the i-th link in the j-th valid experiment in history; w ij is the experimental output data of the i-th link in the j-th valid experiment in history; a ij It is the expected data of the experimental results of the i-th link in the j-th valid experiment in history.

[0067] In this embodiment, the calculation formula of the first difference value is:

[0068]

[0069] in, is the first difference value of the i-th phase of the current experiment, I 1 is the first difference value between the current experiment and the historical valid experiments, α1 is the proportion coefficient of the number of real-time experiment personnel in the current experiment, α2 is the proportion coefficient of the number of real-time running equipment in the current experiment; α3 is the proportion coefficient of the real-time experiment output data in the current experiment, α1+α2+α3=1.

[0070] In this embodiment, the specific formula for calculating the second difference value is: Among them, I 2 is the second difference value of the current experiment.

[0071] In this embodiment, the calculation formula of the comprehensive difference value is: I = β1I 1 +β2I 2 ; Wherein, I is the comprehensive difference value between the current experiment and n historical effective experiments, β1 is the proportion coefficient of the first difference value, and β2 is the proportion coefficient of the second difference value; β1+β2=1.

[0072] In this embodiment, orderly monitoring of the experimental links includes the following specific steps: first, a difference value threshold θ is preset, and the magnitude relationship between the comprehensive difference value I and the difference value threshold θ is compared. If I<θ, the current experiment is a qualified experiment. If I≥θ, the comprehensive difference value I of the mth link of the current experiment is reversely monitored. m , compare I m The relationship between the difference value threshold θ; if I m <θ, then the mth experimental link is a qualified link. If I m ≥θ, then the mth experimental link is an unqualified link, and the comprehensive difference value I of the m-1th link of the current experiment is reversely monitored. m-1 , compare I m-1 The relationship between the difference value threshold θ and the difference value threshold θ; then repeat the above steps until the monitoring covers all m experimental links of the current experiment, and all unqualified links are screened out for orderly monitoring.

[0073] The above-mentioned parameters and steps for each unit module to achieve corresponding functions in the laboratory safety monitoring and management system of the present invention can refer to the parameters and steps in the embodiment of the laboratory safety monitoring and management method in Example 1 above.

[0074] Embodiment 3:

[0075] 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 laboratory safety monitoring management method by calling the computer program stored in the memory.

[0076] The electronic device can produce relatively large differences due to different configurations or performances, and can 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 laboratory safety monitoring management method provided by the above method embodiment. The electronic device can also include other components for realizing device functions, for example, the electronic device can also have components such as wired or wireless network interfaces and input and output interfaces, so as to input and output data. This embodiment is not repeated here.

[0077] 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.

[0078] 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 (a non-exhaustive list) of computer-readable storage media 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.

[0079] 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.

[0080] 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 1 The steps for the functions specified in one or more boxes.

[0081] 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 laboratory safety monitoring and management method, characterized in that: The specific steps include: S1. Track the experimental phase of the current experiment in the laboratory and obtain real-time visual feature data; S2, obtaining the historical visual feature data of the historical experimental links in the historical n valid experiments of the current experiment; S3, calculating the first difference value and the second difference value of the current experiment according to the real-time visual feature data and the historical visual feature data; S4. Calculate the comprehensive difference value of the current experiment based on the calculation results of the first difference value and the second difference value, and monitor the experimental links in an orderly manner.

2. The laboratory safety monitoring management method according to claim 1, characterized in that: The real-time visual features of the experimental phase in S1 include: real-time experimental personnel number data x i0 , Real-time running equipment quantity data i0 , real-time experimental output data w i0 、Experimental results expected data a i0 ; where x i0 The real-time data of the number of experimenters in the i-th phase of the current experiment; y i0 is the real-time running equipment quantity data of the i-th phase of the current experiment; w i0 Output data of the real-time experiment of the i-th phase of the current experiment; a i0 It is the expected data of the experimental results of the i-th phase of the current experiment.

3. The laboratory safety monitoring management method according to claim 2, characterized in that: The historical visual feature data in S2 specifically include: the historical experimental personnel number data (x i1 ,x i2 ,…,x ij ), historical operating equipment quantity data (y i1 ,y i2 ,…,y ij ), historical experimental output data (w i1 ,w i2 ,…,w ij ), historical experimental results expected data (a i1 ,a i2 ,…,a ij ); where x ij is the number of experimenters in the i-th stage of the j-th valid experiment in history; y ij is the number of running equipment in the i-th link in the j-th valid experiment in history; w ij is the experimental output data of the i-th link in the j-th valid experiment in history; a ij It is the expected data of the experimental results of the i-th link in the j-th valid experiment in history.

4. The laboratory safety monitoring management method according to claim 3, characterized in that: The calculation formula of the first difference value in S3 is: in, is the first difference value of the i-th phase of the current experiment, I 1 is the first difference value between the current experiment and the historical valid experiments, α1 is the proportion coefficient of the number of real-time experiment personnel in the current experiment, α2 is the proportion coefficient of the number of real-time running equipment in the current experiment; α3 is the proportion coefficient of the real-time experiment output data in the current experiment, α1+α2+α3=1.

5. The laboratory safety monitoring management method according to claim 4, characterized in that: The specific formula for calculating the second difference value in S3 is: Among them, I 2 is the second difference value of the current experiment.

6. The laboratory safety monitoring management method according to claim 5, characterized in that: The calculation formula of the comprehensive difference value in S4 is: I=β1I 1 +β2I 2 ; Among them, I is the comprehensive difference value between the current experiment and n historical effective experiments, β1 is the proportion coefficient of the first difference value, and β2 is the proportion coefficient of the second difference value; β1+β2=1.

7. The laboratory safety monitoring management method according to claim 6, characterized in that: The orderly monitoring of the experimental process in S4 includes the following specific steps: S41, preset the difference value threshold θ, compare the size relationship between the comprehensive difference value I and the difference value threshold θ, if I<θ, the current experiment is a qualified experiment, if I≥θ, reversely monitor the comprehensive difference value I of the mth link of the current experiment m , compare I m The relationship with the difference value threshold θ; S42, if I m <θ, then the mth experimental link is a qualified link. If I m ≥θ, then the mth experimental link is an unqualified link, and reverse monitoring is performed on the comprehensive difference value I of the m-1th link of the current experiment m-1 , compare I m-1 The relationship with the difference value threshold θ; S43. Repeat the above steps until the monitoring covers all m experimental links of the current experiment, and all unqualified links are screened out for orderly monitoring.

8. A laboratory safety monitoring and management system, which is implemented based on the laboratory safety monitoring and management method according to any one of claims 1 to 7, characterized in that: The system includes: a real-time monitoring module, a history collection module, a difference calculation module and a difference monitoring module; The real-time monitoring module is used to track the experimental links of the current experiment in the laboratory and obtain real-time visual feature data; The history acquisition module is used to obtain the historical visual feature data of the historical experiment links of the current experiment in the historical n valid experiments; The difference calculation module is used to calculate the first difference value and the second difference value of the current experiment based on the real-time visual feature data and the historical visual feature data; The difference monitoring module is used to calculate the comprehensive difference value of the current experiment according to the calculation results of the first difference value and the second difference value, and to monitor the experimental links in an orderly manner.

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