A method and system for intelligent collection and filing of student health data

Abstract

The present application relates to the technical field of data management, and particularly discloses a method and system for intelligent collection and filing based on student health data, which is used to solve the problem that the existing school laboratory biological safety cabinet lacks standardized filing when being used and maintained, and the insufficient wind speed or the cabinet body sealing is not strict, which threatens the health of the students operating; the present application obtains the operation data in the laboratory operation period, determines the first adjustment coefficient according to the first negative pressure, the first control time length and the second negative pressure, optimizes the automatic balance control strategy, and formulates the automatic balance control strategy according to the fluctuation value of the first negative pressure, the second control time length and the first adjustment coefficient; the cabinet body sealing evaluation model is constructed based on the second control time length, the first control time length, the second pressure difference and the first pressure difference, and the cabinet body sealing degree is evaluated, which is helpful to effectively control the negative pressure and the wind speed of the biological safety cabinet and improve the safety protection effect.

Description

Technical Field

[0001] This invention relates to the field of data management technology, and more specifically, to a method and system for intelligent collection and archiving of student health data. Background Technology

[0002] Fume hoods and biosafety cabinets in school laboratories are crucial facilities for ensuring laboratory safety. They are widely used in chemistry, biology, and other laboratories to prevent harmful chemicals, microorganisms, pathogens, and volatile substances from posing a risk to laboratory personnel and the experimental environment. Biosafety cabinets are primarily used in biological laboratories to prevent contamination of the laboratory environment and personnel by aerosols and pathogens generated during experiments. However, biosafety cabinets often suffer from insufficient airflow or inadequate sealing during use and maintenance, leading to decreased performance and an inability to effectively isolate and remove harmful substances, posing a threat to the health of students performing the procedures. Furthermore, current usage records for biosafety cabinets in school laboratories rely on operators' self-reporting, lacking standardized documentation. This makes it difficult for laboratory managers to promptly detect abnormal equipment operation, increasing safety hazards. To address these issues, a technical solution is proposed. Summary of the Invention

[0003] To overcome the aforementioned deficiencies in the prior art, this invention provides a method and system for intelligent collection and archiving of student health data. By acquiring operational data during laboratory operation periods, a first adjustment coefficient is determined based on a first negative pressure, a first control duration, and a second negative pressure. An automatic balance control strategy is optimized, and this strategy is formulated based on the fluctuation value of the first negative pressure, the second control duration, and the first adjustment coefficient. A cabinet sealing evaluation model is constructed based on the second control duration, the first control duration, the second pressure difference, and the first pressure difference to assess the cabinet's sealing performance. This helps to effectively control the negative pressure and airflow of the biosafety cabinet, improving safety protection and solving the problems mentioned in the background art.

[0004] To achieve the above objectives, the present invention provides the following technical solution:

[0005] A method for intelligent collection and archiving of student health data includes the following steps:

[0006] Step 1: Obtain operational data during the laboratory operation period, classify and process the operational data, and obtain the first operational parameters of the biosafety cabinet before the operation begins;

[0007] Step 2: After the biosafety cabinet is closed, the negative pressure inside the biosafety cabinet is controlled by the fan to reach a first negative pressure, and the duration of reaching the first negative pressure is recorded as the first control duration. At the same time, the second negative pressure of the external environment of the biosafety cabinet is acquired. Based on the first negative pressure, the first control duration, and the second negative pressure, a first adjustment coefficient is determined to optimize the automatic balancing control strategy; wherein the first negative pressure is greater than the second negative pressure; the pressure difference between the front and rear ends of the filter after the biosafety cabinet is closed is monitored as the first pressure difference; wherein the output end of the fan is connected to the front end of the filter.

[0008] Step 3: Monitor the fluctuation value of the first negative pressure after the biosafety cabinet is closed in real time, control the fan in real time according to the fluctuation value of the first negative pressure, record the duration of each fluctuation of the first negative pressure as the second control duration, and formulate an automatic balancing control strategy based on the fluctuation value of the first negative pressure, the second control duration and the first adjustment coefficient to maintain the first negative pressure in the biosafety cabinet; wherein, the second control duration is less than the first control duration.

[0009] Step 4: Control the pressure difference threshold between the front and back ends of the filter to be the second pressure difference; wherein the second pressure difference is greater than the first pressure difference; construct a cabinet sealing evaluation model based on the second control duration, the first control duration, the second pressure difference, and the first pressure difference to evaluate the cabinet sealing performance.

[0010] As a further aspect of the present invention, in step 2, a first adjustment coefficient is determined based on the first negative pressure, the first control duration, and the second negative pressure to optimize the automatic balance control strategy. The step of determining the first adjustment coefficient is as follows:

[0011] Step 21: Obtain the design range of negative pressure inside the biosafety cabinet, and determine the control duration range of negative pressure inside the biosafety cabinet based on the design range of negative pressure.

[0012] Step 22: Obtain the first adjustment coefficient by constructing a first adjustment coefficient calculation model:

[0013]

[0014] Where: β X P is the first adjustment coefficient. 1x For the first negative pressure, P 2x This is the second negative pressure. This is the maximum value within the design range of negative pressure inside the biosafety cabinet. t is the minimum value within the design range of negative pressure inside the biosafety cabinet. 1x For the first control duration, To control the maximum value within the time range, To control the minimum value within the time range.

[0015] As a further aspect of the present invention, in step 21, the design range of the negative pressure inside the biosafety cabinet is obtained, and the control time range of the negative pressure inside the biosafety cabinet is determined based on the design range of the negative pressure. The control time of the negative pressure inside the biosafety cabinet refers to the time required from the start of the fan after the biosafety cabinet is closed until the pressure inside the cabinet reaches the set negative pressure range. The formula for calculating the control time of the negative pressure inside the biosafety cabinet is as follows:

[0016]

[0017] In the formula: t m V is the duration of negative pressure control inside the biosafety cabinet, V is the effective internal volume of the biosafety cabinet, Q is the airflow rate of the fan, and p is the pressure control duration inside the biosafety cabinet. c P is the first operating parameter. 2x The second negative pressure, α1 is an adjustment factor to prevent the molecule from being zero, p m α2 is the target negative pressure within the design range of the negative pressure inside the biosafety cabinet, and α2 is an adjustment factor to prevent the denominator from being 0.

[0018] As a further aspect of the present invention, step 3 involves formulating an automatic balancing control strategy based on the fluctuation value of the first negative pressure, the second control duration, and the first adjustment coefficient to maintain the first negative pressure inside the biosafety cabinet. Specifically:

[0019] Step 31: Calculate the fluctuation coefficient within the corresponding time period based on the fluctuation value of the first negative pressure and the second control duration. The fluctuation coefficient is positively correlated with both the fluctuation value of the first negative pressure and the second control duration. The formula for calculating the fluctuation coefficient is:

[0020]

[0021] In the formula: b x Let be the fluctuation coefficient within the x-th time period, and 'a' be the first proportionality coefficient, reflecting the sensitivity of the fluctuation value of the first negative pressure. Let be the fluctuation value of the first negative pressure within the x-th time period, b be the second proportional coefficient reflecting the sensitivity of the second control time period, and t be the value of the first negative pressure within the x-th time period. 2x This refers to the second control duration within the x-th duration.

[0022] Step 32: Calculate the fluctuation coefficient corresponding to each fluctuation, and formulate an automatic balancing control strategy based on the fluctuation coefficient and the first adjustment coefficient. The formula for the automatic balancing control strategy is as follows:

[0023]

[0024] In the formula: ω p For the equilibrium value of fluctuation, β X b is the first adjustment coefficient. x+1 Let b be the fluctuation coefficient during the (x+1)th time period. xLet be the fluctuation coefficient within the x-th time period, and n be the number of the second control periods. This is the time difference between the (x+1)th time interval and the xth time interval;

[0025] Step 33: Compare the fluctuation balance value with the preset fluctuation balance threshold. If the fluctuation balance value is greater than or equal to the preset fluctuation balance threshold, the first negative pressure cannot be maintained in the biosafety cabinet; if the fluctuation balance value is less than the preset fluctuation balance threshold, the first negative pressure can be maintained in the biosafety cabinet.

[0026] As a further aspect of the present invention, in step 4, the pressure difference threshold between the front and rear ends of the filter is set to a second pressure difference; wherein the second pressure difference is greater than the first pressure difference; a cabinet sealing evaluation model is constructed based on the second control duration, the first control duration, the second pressure difference, and the first pressure difference to evaluate the cabinet sealing performance, specifically as follows:

[0027]

[0028] Where: g m For the cabinet's sealing degree, t 1x For the first control duration, t 2x This is the second control duration within the x-th duration. This refers to the pressure differential at the front end of the filter after the biosafety cabinet is closed. This refers to the pressure differential at the back end of the filter after the biosafety cabinet is closed. Let x be the threshold value of the differential pressure at the front end of the control filter during the x-th time period. The differential pressure threshold of the control filter in the x-th time period is n, where n is the number of the second control time periods.

[0029] Obtain a preset cabinet sealing threshold, compare the cabinet sealing degree with the preset cabinet sealing threshold. If the cabinet sealing degree is greater than or equal to the preset cabinet sealing threshold, the biosafety cabinet is qualified in terms of sealing performance; if the cabinet sealing degree is greater than or equal to the preset cabinet sealing threshold, the biosafety cabinet is unqualified in terms of sealing performance, which will affect the health of students.

[0030] A system for intelligent collection and archiving of student health data, used to implement the above-mentioned method for intelligent collection and archiving of student health data, is characterized by including a biosafety cabinet, a combined sensor unit, a time measurement unit, and a data archiving and processing unit.

[0031] The combined sensor unit is used to acquire operational data during laboratory operation periods;

[0032] The time measurement unit is used to record the duration;

[0033] The data filing and processing unit is used to classify and process operational data. When the biosafety cabinet is closed, the negative pressure inside the biosafety cabinet is controlled by the fan to reach the first negative pressure, and the duration of reaching the first negative pressure is recorded as the first control duration. At the same time, the second negative pressure of the external environment of the biosafety cabinet is acquired. Based on the first negative pressure, the first control duration, and the second negative pressure, the first adjustment coefficient is determined to optimize the automatic balancing control strategy. The fluctuation value of the first negative pressure after the biosafety cabinet is closed is monitored in real time, and the fan is controlled in real time according to the fluctuation value of the first negative pressure. The duration of each fluctuation of the first negative pressure is recorded in real time as the second control duration. Based on the fluctuation value of the first negative pressure, the second control duration, and the first adjustment coefficient, an automatic balancing control strategy is formulated to maintain the first negative pressure inside the biosafety cabinet. The pressure difference threshold between the front and rear ends of the filter is controlled as the second pressure difference. Based on the second control duration, the first control duration, the second pressure difference, and the first pressure difference, a cabinet sealing evaluation model is constructed to evaluate the cabinet sealing performance.

[0034] The technical effects and advantages of this invention, a method and system for intelligent collection and archiving of student health data, are as follows: This invention acquires operational data during laboratory operation periods, determines a first adjustment coefficient based on a first negative pressure, a first control duration, and a second negative pressure, optimizes the automatic balance control strategy, and formulates an automatic balance control strategy based on the fluctuation value of the first negative pressure, the second control duration, and the first adjustment coefficient. A cabinet sealing evaluation model is constructed based on the second control duration, the first control duration, the second pressure difference, and the first pressure difference to evaluate the cabinet's sealing performance, which helps to effectively control the negative pressure and airflow of the biosafety cabinet and improve safety protection. This invention can collect and analyze students' health data during laboratory operations. If any student health abnormalities related to fluctuations in the negative pressure of the biosafety cabinet are detected, an alarm can be issued promptly or equipment operation can be adjusted to reduce health risks. Attached Figure Description

[0035] Figure 1 This is a flowchart illustrating a method for intelligent collection and archiving of student health data provided in Embodiment 1 of the present invention.

[0036] Figure 2 This is a schematic diagram of the structure of a system for intelligent collection and archiving of student health data provided by the present invention. Detailed Implementation

[0037] The technical solutions of this invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described technical solutions are only a part of this invention, and not all of it. All other technical solutions obtained by those skilled in the art based on the technical solutions of this invention without inventive effort are within the scope of protection of this invention.

[0038] Figure 1This diagram illustrates a flowchart of a method for intelligent collection and archiving of student health data according to Embodiment 1 of the present invention. Figure 1 As shown in this embodiment, a method for intelligent collection and archiving of student health data includes the following steps:

[0039] Step 1: Obtain operational data during the laboratory operation period, classify and process the operational data, and obtain the first operational parameters of the biosafety cabinet before the operation begins;

[0040] Step 2: After the biosafety cabinet is closed, the negative pressure inside the biosafety cabinet is controlled by the fan to reach a first negative pressure, and the duration of reaching the first negative pressure is recorded as the first control duration. At the same time, the second negative pressure of the external environment of the biosafety cabinet is acquired. Based on the first negative pressure, the first control duration, and the second negative pressure, a first adjustment coefficient is determined to optimize the automatic balancing control strategy; wherein the first negative pressure is greater than the second negative pressure; the pressure difference between the front and rear ends of the filter after the biosafety cabinet is closed is monitored as the first pressure difference; wherein the output end of the fan is connected to the front end of the filter.

[0041] Step 3: Monitor the fluctuation value of the first negative pressure after the biosafety cabinet is closed in real time, control the fan in real time according to the fluctuation value of the first negative pressure, record the duration of each fluctuation of the first negative pressure as the second control duration, and formulate an automatic balancing control strategy based on the fluctuation value of the first negative pressure, the second control duration and the first adjustment coefficient to maintain the first negative pressure in the biosafety cabinet; wherein, the second control duration is less than the first control duration.

[0042] Step 4: Control the pressure difference threshold between the front and back ends of the filter to be the second pressure difference; wherein the second pressure difference is greater than the first pressure difference; construct a cabinet sealing evaluation model based on the second control duration, the first control duration, the second pressure difference, and the first pressure difference to evaluate the cabinet sealing performance.

[0043] Specifically, in step 1, the operational data during the laboratory operation period is obtained as follows:

[0044] The system acquires operational data during the laboratory operation period using a combined sensor unit, and then classifies and processes the data, including normalization, to extract the first operational parameter of the biosafety cabinet before the operation begins; wherein, the first operational parameter is the negative pressure inside the biosafety cabinet before the operation begins.

[0045] Specifically, in step 2, a first adjustment coefficient is determined based on the first negative pressure, the first control duration, and the second negative pressure to optimize the automatic balancing control strategy. The steps for determining the first adjustment coefficient are as follows:

[0046] Step 21: Obtain the design range of negative pressure inside the biosafety cabinet, and determine the control duration range of negative pressure inside the biosafety cabinet based on the design range of negative pressure.

[0047] Step 22: Obtain the first adjustment coefficient by constructing a first adjustment coefficient calculation model:

[0048]

[0049] Where: β X P is the first adjustment coefficient. 1x For the first negative pressure, P 2x This is the second negative pressure. This is the maximum value within the design range of negative pressure inside the biosafety cabinet. t is the minimum value within the design range of negative pressure inside the biosafety cabinet. 1x For the first control duration, To control the maximum value within the time range, To control the minimum value within the time range.

[0050] By precisely calculating the first adjustment coefficient, the automatic balancing control strategy of the fan can be better optimized, enabling the system to respond quickly to negative pressure fluctuations, adjust the fan speed and output power, and ensure that the negative pressure returns to the target range. This avoids excessive fan adjustment, reduces frequent start-ups and shutdowns of the equipment, thereby reducing wear on the fan and filter and extending their service life. Considering the design parameters of the biosafety cabinet (such as the negative pressure design range), the adjustment coefficient is also dynamically adjusted based on real-time monitoring data (such as negative pressure and control duration). This allows the system to automatically adjust the fan's operating status according to changes in the laboratory environment (such as temperature, humidity, airflow, etc.). Whether in high-risk experiments handling large amounts of aerosols or in routine operations, this method enables the biosafety cabinet to respond quickly to different pressure changes and maintain operational safety. The optimization of the first adjustment coefficient allows the system to quickly return to a safe negative pressure state, reducing potential safety hazards caused by negative pressure fluctuations and ensuring the health and safety of operators.

[0051] In step 21, the design range of negative pressure inside the biosafety cabinet is obtained. Based on the design range, the control time range of negative pressure inside the biosafety cabinet is determined. The control time of negative pressure inside the biosafety cabinet refers to the time required from the start of the fan after the biosafety cabinet is closed until the pressure inside the cabinet reaches the set negative pressure range. The formula for calculating the control time of negative pressure inside the biosafety cabinet is:

[0052]

[0053] In the formula: t m V is the duration of negative pressure control inside the biosafety cabinet, V is the effective internal volume of the biosafety cabinet, Q is the airflow rate of the fan, and p is the pressure control duration inside the biosafety cabinet. c P is the first operating parameter. 2x The second negative pressure, α1 is an adjustment factor to prevent the molecule from being zero, p mα2 is the target negative pressure within the design range of the negative pressure inside the biosafety cabinet, and α2 is an adjustment factor to prevent the denominator from being 0.

[0054] By combining the actual operating conditions and equipment parameters of the biosafety cabinet, the system can accurately calculate the time required to reach the target negative pressure. This allows the control system to better plan the start-up and adjustment time of the fan, ensuring that the negative pressure is quickly reached and maintained within the set range. Through precise control duration calculation, the system dynamically adjusts the fan's operating status, avoiding prolonged over-operation or frequent start-stop cycles, thereby optimizing energy use and control effectiveness. Precise control duration calculation allows laboratories to optimize biosafety cabinet operating procedures, reducing the risk of failing to reach the set negative pressure, lowering the possibility of contaminant leakage, and improving laboratory safety levels. Reasonable control duration calculation ensures that the negative pressure reaches the target value in the shortest possible time, thereby improving equipment operating efficiency and experimental execution efficiency. Accurate control duration effectively controls the fan load, allowing the fan to operate at optimal efficiency, reducing overheating, wear, and equipment aging problems caused by excessive operation, thus extending the equipment's service life.

[0055] Step 3: Based on the fluctuation value of the first negative pressure, the second control duration, and the first adjustment coefficient, formulate an automatic balancing control strategy to maintain the first negative pressure inside the biosafety cabinet. Specifically:

[0056] Step 31: Calculate the fluctuation coefficient within the corresponding time period based on the fluctuation value of the first negative pressure and the second control duration. The fluctuation coefficient is positively correlated with both the fluctuation value of the first negative pressure and the second control duration. The formula for calculating the fluctuation coefficient is:

[0057]

[0058] In the formula: b x Let be the fluctuation coefficient within the x-th time period, and 'a' be the first proportionality coefficient, reflecting the sensitivity of the fluctuation value of the first negative pressure. Let be the fluctuation value of the first negative pressure within the x-th time period, b be the second proportional coefficient reflecting the sensitivity of the second control time period, and t be the value of the first negative pressure within the x-th time period. 2x This refers to the second control duration within the x-th duration.

[0059] Step 32: Calculate the fluctuation coefficient corresponding to each fluctuation, and formulate an automatic balancing control strategy based on the fluctuation coefficient and the first adjustment coefficient. The formula for the automatic balancing control strategy is as follows:

[0060]

[0061] In the formula: ω p For the equilibrium value of fluctuation, β X b is the first adjustment coefficient. x+1 Let b be the fluctuation coefficient during the (x+1)th time period.x Let be the fluctuation coefficient within the x-th time period, and n be the number of the second control periods. This is the time difference between the (x+1)th time interval and the xth time interval;

[0062] Step 33: Compare the fluctuation balance value with the preset fluctuation balance threshold. If the fluctuation balance value is greater than or equal to the preset fluctuation balance threshold, the first negative pressure cannot be maintained in the biosafety cabinet; if the fluctuation balance value is less than the preset fluctuation balance threshold, the first negative pressure can be maintained in the biosafety cabinet.

[0063] Dynamic balancing control is achieved by calculating the negative pressure fluctuation coefficient and adjustment coefficient within the biosafety cabinet. This allows for real-time response to varying pressure changes, ensuring the cabinet maintains the required negative pressure. Multiple parameters (such as fluctuation value, control duration, and proportional coefficient) are used to calculate the fluctuation coefficient and balance value, resulting in a more refined and precise control strategy that better reflects the actual operating status. Because the strategy considers the sensitivity to negative pressure fluctuations (first proportional coefficient) and the sensitivity to control duration (second proportional coefficient), it can automatically adjust the control intensity according to different situations, adapting to varying working environments and negative pressure changes. By calculating the fluctuation coefficient for each duration and developing corresponding automatic balancing control strategies, negative pressure fluctuations within the biosafety cabinet can be effectively reduced, improving system stability and operational efficiency. It also enables timely detection of situations where the negative pressure cannot be maintained within the biosafety cabinet, ensuring the safe operation of the system.

[0064] In step 4, the pressure difference threshold between the front and rear ends of the filter is set as the second pressure difference; wherein the second pressure difference is greater than the first pressure difference; a cabinet sealing evaluation model is constructed based on the second control duration, the first control duration, the second pressure difference, and the first pressure difference to evaluate the cabinet sealing performance, specifically as follows:

[0065]

[0066] Where: g m For the cabinet's sealing degree, t 1x For the first control duration, t 2x This is the second control duration within the x-th duration. This refers to the pressure differential at the front end of the filter after the biosafety cabinet is closed. This refers to the pressure differential at the back end of the filter after the biosafety cabinet is closed. Let x be the threshold value of the differential pressure at the front end of the control filter during the x-th time period. The differential pressure threshold of the control filter in the x-th time period is n, where n is the number of the second control time periods.

[0067] Obtain a preset cabinet sealing threshold, compare the cabinet sealing degree with the preset cabinet sealing threshold. If the cabinet sealing degree is greater than or equal to the preset cabinet sealing threshold, the biosafety cabinet is qualified in terms of sealing performance; if the cabinet sealing degree is greater than or equal to the preset cabinet sealing threshold, the biosafety cabinet is unqualified in terms of sealing performance, which will affect the health of students.

[0068] The airtightness of a biosafety cabinet is fundamental to ensuring stable negative pressure within the cabinet. Regular assessments of the sealing performance can promptly identify any leaks, preventing hazardous material leakage due to negative pressure failure. If the assessment results indicate that the cabinet's airtightness is substandard, the system can immediately issue an alarm, prompting operators to inspect and maintain the cabinet, addressing potential leakage risks in a timely manner and protecting the health and safety of students and operators. The calculation results of the assessment model provide a reliable basis for equipment maintenance. Based on the airtightness values, targeted maintenance plans can be developed (such as replacing sealing strips, inspecting and repairing leak points), improving the accuracy and effectiveness of equipment maintenance. Regular airtightness assessments and targeted maintenance can prevent excessive use and wear and tear due to deteriorating airtightness, thereby extending the overall lifespan of the biosafety cabinet. The automated airtightness assessment process significantly reduces the need for manual intervention, lowers the workload of operators, improves work efficiency and the level of intelligent equipment management, and provides students with a safer experimental environment.

[0069] A system for intelligent collection and archiving of student health data includes a biosafety cabinet, a combined sensor unit, a time measurement unit, and a data archiving and processing unit. The biosafety cabinet includes a fan and a filter. The biosafety cabinet is connected to the combined sensor unit and the time measurement unit, which are connected to the data archiving and processing unit. The combined sensor unit includes a pressure sensor, a differential pressure sensor, and a wind speed sensor.

[0070] The combined sensor unit is used to acquire operational data during laboratory operation periods;

[0071] The time measurement unit is used to record the duration;

[0072] The data filing and processing unit is used to classify and process operational data. When the biosafety cabinet is closed, the negative pressure inside the biosafety cabinet is controlled by the fan to reach the first negative pressure, and the duration of reaching the first negative pressure is recorded as the first control duration. At the same time, the second negative pressure of the external environment of the biosafety cabinet is acquired. Based on the first negative pressure, the first control duration, and the second negative pressure, the first adjustment coefficient is determined to optimize the automatic balancing control strategy. The fluctuation value of the first negative pressure after the biosafety cabinet is closed is monitored in real time, and the fan is controlled in real time according to the fluctuation value of the first negative pressure. The duration of each fluctuation of the first negative pressure is recorded in real time as the second control duration. Based on the fluctuation value of the first negative pressure, the second control duration, and the first adjustment coefficient, an automatic balancing control strategy is formulated to maintain the first negative pressure inside the biosafety cabinet. The pressure difference threshold between the front and rear ends of the filter is controlled as the second pressure difference. Based on the second control duration, the first control duration, the second pressure difference, and the first pressure difference, a cabinet sealing evaluation model is constructed to evaluate the cabinet sealing performance.

[0073] In this embodiment of the invention, operational data during laboratory operation periods is acquired, and a first adjustment coefficient is determined based on a first negative pressure, a first control duration, and a second negative pressure to optimize the automatic balancing control strategy. The automatic balancing control strategy is then formulated based on the fluctuation value of the first negative pressure, the second control duration, and the first adjustment coefficient. A cabinet sealing evaluation model is constructed based on the second control duration, the first control duration, the second pressure difference, and the first pressure difference to evaluate the cabinet's sealing performance. This helps to effectively control the negative pressure and airflow of the biosafety cabinet, improving safety protection. Furthermore, this invention can collect and analyze students' health data during laboratory operations. If any student health abnormalities related to fluctuations in the biosafety cabinet's negative pressure are detected, an alarm can be issued promptly or equipment operation can be adjusted to reduce health risks.

[0074] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0075] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for intelligent collection and archiving of student health data, characterized in that, Includes the following steps: Step 1: Obtain operational data during the laboratory operation period, classify and process the operational data, and obtain the first operational parameters of the biosafety cabinet before the operation begins; Step 2: After the biosafety cabinet is closed, the negative pressure inside the biosafety cabinet is controlled by the fan to reach a first negative pressure, and the duration of reaching the first negative pressure is recorded as the first control duration. At the same time, the second negative pressure of the external environment of the biosafety cabinet is acquired. Based on the first negative pressure, the first control duration, and the second negative pressure, a first adjustment coefficient is determined to optimize the automatic balancing control strategy; wherein the first negative pressure is greater than the second negative pressure; the pressure difference between the front and rear ends of the filter after the biosafety cabinet is closed is monitored as the first pressure difference; wherein the output end of the fan is connected to the front end of the filter. Step 3: Monitor the fluctuation value of the first negative pressure after the biosafety cabinet is closed in real time, control the fan in real time according to the fluctuation value of the first negative pressure, record the duration of each fluctuation of the first negative pressure as the second control duration, and formulate an automatic balancing control strategy based on the fluctuation value of the first negative pressure, the second control duration and the first adjustment coefficient to maintain the first negative pressure in the biosafety cabinet; wherein, the second control duration is less than the first control duration. Step 4: Control the pressure difference threshold between the front and back ends of the filter to the second pressure difference; wherein the second pressure difference is greater than the first pressure difference; construct a cabinet sealing evaluation model based on the second control duration, the first control duration, the second pressure difference, and the first pressure difference to evaluate the cabinet sealing performance.

2. The method for intelligent collection and archiving of student health data according to claim 1, characterized in that, In step 2, a first adjustment coefficient is determined based on the first negative pressure, the first control duration, and the second negative pressure to optimize the automatic balancing control strategy. The steps for determining the first adjustment coefficient are as follows: Step 21: Obtain the design range of negative pressure inside the biosafety cabinet, and determine the control duration range of negative pressure inside the biosafety cabinet based on the design range of negative pressure. Step 22: Obtain the first adjustment coefficient by constructing a first adjustment coefficient calculation model: Where: β X P is the first adjustment coefficient. 1x For the first negative pressure, P 2x This is the second negative pressure. This is the maximum value within the design range of negative pressure inside the biosafety cabinet. t is the minimum value within the design range of negative pressure inside the biosafety cabinet. 1x For the first control duration, To control the maximum value within the time range, To control the minimum value within the time range.

3. The method for intelligent collection and archiving of student health data according to claim 2, characterized in that, In step 21, the design range of negative pressure inside the biosafety cabinet is obtained. Based on the design range, the control time range of negative pressure inside the biosafety cabinet is determined. The control time of negative pressure inside the biosafety cabinet refers to the time required from the start of the fan after the biosafety cabinet is closed until the pressure inside the cabinet reaches the set negative pressure range. The formula for calculating the control time of negative pressure inside the biosafety cabinet is: In the formula: t m V is the duration of negative pressure control inside the biosafety cabinet, V is the effective internal volume of the biosafety cabinet, Q is the airflow rate of the fan, and p is the pressure control duration inside the biosafety cabinet. c P is the first operating parameter. 2x The second negative pressure, α1 is an adjustment factor to prevent the molecule from being zero, p m α2 is the target negative pressure within the design range of the negative pressure inside the biosafety cabinet, and α2 is an adjustment factor to prevent the denominator from being 0.

4. The method for intelligent collection and archiving of student health data according to claim 1, characterized in that, Step 3: Based on the fluctuation value of the first negative pressure, the second control duration, and the first adjustment coefficient, formulate an automatic balancing control strategy to maintain the first negative pressure inside the biosafety cabinet. Specifically: Step 31: Calculate the fluctuation coefficient within the corresponding time period based on the fluctuation value of the first negative pressure and the second control duration. The fluctuation coefficient is positively correlated with both the fluctuation value of the first negative pressure and the second control duration. The formula for calculating the fluctuation coefficient is: In the formula: b x Let be the fluctuation coefficient within the x-th time period, and 'a' be the first proportionality coefficient, reflecting the sensitivity of the fluctuation value of the first negative pressure. Let be the fluctuation value of the first negative pressure within the x-th time period, b be the second proportional coefficient reflecting the sensitivity of the second control time period, and t be the value of the first negative pressure within the x-th time period. 2x This refers to the second control duration within the x-th duration. Step 32: Calculate the fluctuation coefficient corresponding to each fluctuation, and formulate an automatic balancing control strategy based on the fluctuation coefficient and the first adjustment coefficient. The formula for the automatic balancing control strategy is as follows: In the formula: ω p For the equilibrium value of fluctuation, β X b is the first adjustment coefficient. x+1 Let b be the fluctuation coefficient during the (x+1)th time period. x Let be the fluctuation coefficient within the x-th time period, and n be the number of the second control periods. This is the time difference between the (x+1)th time interval and the xth time interval; Step 33: Compare the fluctuation balance value with the preset fluctuation balance threshold. If the fluctuation balance value is greater than or equal to the preset fluctuation balance threshold, the first negative pressure cannot be maintained in the biosafety cabinet; if the fluctuation balance value is less than the preset fluctuation balance threshold, the first negative pressure can be maintained in the biosafety cabinet.

5. The method for intelligent collection and archiving of student health data according to claim 1, characterized in that, In step 4, the pressure difference threshold between the front and rear ends of the filter is set as the second pressure difference; wherein the second pressure difference is greater than the first pressure difference; a cabinet sealing evaluation model is constructed based on the second control duration, the first control duration, the second pressure difference, and the first pressure difference to evaluate the cabinet sealing performance, specifically as follows: Where: g m For the cabinet's sealing degree, t 1x For the first control duration, t 2x This is the second control duration within the x-th duration. This refers to the pressure differential at the front end of the filter after the biosafety cabinet is closed. This refers to the pressure differential at the back end of the filter after the biosafety cabinet is closed. Let x be the threshold value of the differential pressure at the front end of the control filter during the x-th time period. The differential pressure threshold of the control filter in the x-th time period is n, where n is the number of the second control time periods. Obtain a preset cabinet sealing threshold, compare the cabinet sealing degree with the preset cabinet sealing threshold. If the cabinet sealing degree is greater than or equal to the preset cabinet sealing threshold, the biosafety cabinet is qualified in terms of sealing performance; if the cabinet sealing degree is greater than or equal to the preset cabinet sealing threshold, the biosafety cabinet is unqualified in terms of sealing performance, which will affect the health of students.

6. A system for intelligent collection and archiving of student health data, characterized in that, The method for intelligent collection and filing of student health data according to any one of claims 1-5 is characterized by comprising a biosafety cabinet, a combined sensor unit, a time measuring unit, and a data filing and processing unit. The combined sensor unit is used to acquire operational data during laboratory operation periods; The time measurement unit is used to record the duration; The data filing and processing unit is used to classify and process operational data. When the biosafety cabinet is closed, the negative pressure inside the biosafety cabinet is controlled by the fan to reach the first negative pressure, and the duration of reaching the first negative pressure is recorded as the first control duration. At the same time, the second negative pressure of the external environment of the biosafety cabinet is acquired. Based on the first negative pressure, the first control duration, and the second negative pressure, the first adjustment coefficient is determined to optimize the automatic balancing control strategy. The fluctuation value of the first negative pressure after the biosafety cabinet is closed is monitored in real time, and the fan is controlled in real time according to the fluctuation value of the first negative pressure. The duration of each fluctuation of the first negative pressure is recorded in real time as the second control duration. Based on the fluctuation value of the first negative pressure, the second control duration, and the first adjustment coefficient, an automatic balancing control strategy is formulated to maintain the first negative pressure inside the biosafety cabinet. The pressure difference threshold between the front and rear ends of the filter is controlled as the second pressure difference. Based on the second control duration, the first control duration, the second pressure difference, and the first pressure difference, a cabinet sealing evaluation model is constructed to evaluate the cabinet sealing performance.

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