Biological laboratory fume hood operation performance monitoring system and method and medium

Abstract

The invention relates to the technical field of ventilation cabinet performance monitoring, in particular to a biological laboratory ventilation cabinet operation performance monitoring system and method and a medium, and the system comprises a ventilation monitoring platform, a ventilation data unit, a ventilation operation efficiency unit, an airflow characteristic unit, a performance interference unit, a regulation and control response unit and a ventilation processing unit. Analysis is carried out from two points of operation and regulation and control response, so that accurate monitoring of the operation performance of the laboratory fume hood is realized, the operation stability of the laboratory fume hood is ensured, ventilation performance deviation risk analysis is carried out on ventilation performance data to judge whether the ventilation efficiency of the laboratory fume hood is qualified or not, and the operation efficiency of the laboratory fume hood is qualified or not. According to the method, early warning feedback management is carried out in time, ventilation characteristic data is further subjected to ventilation flow supervision analysis, analysis is carried out from the angle of gas flow, comprehensive analysis is carried out in combination with interference factors, the diversity of analysis data is improved, and accurate analysis of the operation performance of the laboratory ventilation cabinet is facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of fume hood performance monitoring, and in particular to a biological laboratory fume hood operation performance monitoring system, method and medium. Background Art

[0002] Laboratory ventilation is an indispensable part of laboratory design. The most important function of the fume hood is the exhaust function. In chemical laboratories, various harmful gases, odors, moisture, and flammable, explosive, and corrosive substances are generated during experimental operations. In order to prevent laboratory workers from inhaling or swallowing some toxic, pathogenic, or unknown toxic chemicals and organisms, the laboratory should have good ventilation.

[0003] However, in the existing laboratory fume hood operation performance monitoring technology, there is a problem of a single analysis angle, which leads to low accuracy of the quantitative analysis results of the laboratory fume hood operation performance monitoring, thereby reducing the operation management effect of the laboratory fume hood, and it is impossible to accurately analyze the operation performance of the laboratory fume hood in combination with interference factors, reducing the operation stability of the laboratory fume hood, and it is impossible to perform in-depth response analysis on the operation control performance of the laboratory fume hood, which is not conducive to the stable adaptive operation control of the laboratory fume hood;

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a biological laboratory fume hood operation performance monitoring system, method and medium to solve the above-mentioned technical defects. The present invention analyzes from two points of operation and control response to achieve accurate monitoring of the operation performance of the laboratory fume hood to ensure the operation stability of the laboratory fume hood, and performs ventilation performance deviation risk analysis on the ventilation performance data to determine whether the ventilation operation efficiency of the laboratory fume hood is qualified, so as to timely perform early warning feedback management, and further performs ventilation flow supervision analysis on the ventilation characteristic data to analyze from the perspective of gas flow, and conducts a comprehensive analysis in combination with interference factors to improve the diversity of analysis data, which helps to accurately analyze the operation performance of the laboratory fume hood so as to rationalize management, and conducts adaptive response supervision analysis from the control response through information feedback to determine whether the adaptive control performance of the laboratory fume hood is qualified, so as to perform rational management according to the information feedback to improve the operation control response performance of the laboratory fume hood.

[0006] The object of the present invention can be achieved by the following technical solutions: A biological laboratory fume hood operation performance monitoring system, including a ventilation monitoring platform, a ventilation data unit, a ventilation operation efficiency unit, an airflow characteristic unit, a performance interference unit, a control response unit and a ventilation processing unit;

[0007] After receiving the supervision instruction, the ventilation data unit immediately collects the ventilation performance data and ventilation characteristic data of the laboratory fume hood, and sends the ventilation performance data and ventilation characteristic data to the ventilation efficiency unit and the airflow characteristic unit respectively;

[0008] After receiving the ventilation performance data, the ventilation efficiency unit immediately performs ventilation performance deviation risk analysis on the ventilation performance data, and sends the obtained stable signal and fluctuation signal to the ventilation processing unit via the airflow characteristic unit;

[0009] The performance interference unit is used to collect interference data of the laboratory fume hood in response to the stable signal, and perform performance interference quantitative evaluation and analysis on the interference data, and send the obtained interference quantitative index to the airflow characteristic unit;

[0010] The airflow characteristic unit is used to respond to the stable signal, and perform ventilation flow supervision analysis on the received ventilation characteristic data, and send the obtained normal signal and abnormal signal to the ventilation processing unit;

[0011] The control response unit is used to collect the control risk data of the laboratory fume hood in response to the normal signal, and perform adaptive response supervision analysis on the control risk data, and send the obtained alarm signal to the ventilation processing unit.

[0012] Preferably, the ventilation performance deviation risk analysis process of the ventilation efficiency unit is as follows:

[0013] The laboratory fume hood operation time period is collected and set as the time threshold, the time threshold is divided into i sub-time periods, i is a natural number greater than zero, and the ventilation performance data of the laboratory fume hood in each sub-time period is obtained. The ventilation performance data includes the actual fan full wind pressure value and the actual operation energy consumption value, and then the value obtained by subtracting the actual fan full wind pressure value from the theoretical fan full wind pressure value is set as the full wind pressure offset value, and the value obtained by subtracting the theoretical operation energy consumption value from the actual operation energy consumption value is set as the energy consumption offset value;

[0014] The value obtained by multiplying the values ​​corresponding to the total wind pressure offset and the energy consumption offset is set as the ventilation efficiency index. A rectangular coordinate system is established with the number of sub-time periods as the X-axis and the ventilation efficiency index as the Y-axis. The ventilation efficiency index curve is drawn by plotting points, and the length of the connection between each plotted point is obtained, and the length is set as the ventilation deviation coefficient. The set A of ventilation deviation coefficients is further constructed, and the difference between the maximum element and the minimum element in the set A is obtained. The difference between the maximum element and the minimum element in the set A is set as the floating deviation span value. The floating deviation span value is compared and analyzed with the preset floating deviation span value threshold entered and stored internally to obtain a stable signal and a fluctuating signal.

[0015] Preferably, the performance interference quantitative evaluation and analysis process of the performance interference unit is as follows:

[0016] The interference data of the laboratory fume hood within the time threshold is obtained, and the interference data includes an internal interference index and an external interference index. The internal interference index and the external interference index are compared and analyzed with the preset internal interference index threshold and the preset external interference index threshold that are internally entered and stored, and the first-level interference and the second-level interference are obtained. The set interference values ​​corresponding to the first-level interference and the second-level interference are obtained, and the set interference values ​​corresponding to the first-level interference and the second-level interference are set as interference quantification indexes.

[0017] Preferably, the internal interference index represents the number of airflow interference sources, which includes the number between the number of open doors or windows and the number of open fans in the ventilation working area corresponding to the numerical value; the external interference index represents the product value obtained by multiplying the minimum ventilation cross-section of the exhaust duct path of the laboratory fume hood and the number of bends in the exhaust duct path after data normalization.

[0018] Preferably, the ventilation flow supervision analysis process of the airflow characteristic unit is as follows:

[0019] With the laboratory fume hood as the center and R1 as the radius, the laboratory indoor area obtained by drawing a circle around the laboratory fume hood is set as the ventilation working area. Several monitoring devices are set from near to far in the ventilation working area with the center of the circle as the starting point, and the ventilation characteristic data of each monitoring device in the ventilation working area within the time threshold are obtained. The ventilation characteristic data includes the airflow velocity value and the flow rate per unit time value, and then the airflow velocity value and the flow rate per unit time value are labeled as QL and LL respectively. The airflow flow evaluation coefficient Q is obtained according to the formula, and the airflow flow evaluation coefficient Q is compared and analyzed with the preset airflow flow evaluation coefficient threshold value recorded and stored internally to obtain the equipment outside the area and the equipment within the area.

[0020] Preferably, the ratio between the number of devices outside the area and the number of devices within the area within the time threshold is obtained, and the ratio between the number of devices outside the area and the number of devices within the area is set as the ventilation flow deviation index, and the ventilation flow deviation index is discriminated and processed to obtain normal signals and abnormal signals.

[0021] Preferably, the adaptive response supervision analysis process of the regulatory response unit is as follows:

[0022] The control risk data of the laboratory fume hood within the time threshold is obtained. The control risk data includes the control response value and the speed control value. The control response value and the speed control value are labeled TK and ZK respectively. The response evaluation coefficient K is obtained according to the formula. The response evaluation coefficient K is compared and analyzed with the threshold E1 and threshold E2 stored internally. The threshold E1 is less than the threshold E2, and the first-level response, the second-level response and the third-level response are obtained. The first-level response, the second-level response and the third-level response are set as the response index XZ, XZ=1, 2, 3, and the response index XZ is discriminated and processed to obtain an alarm signal;

[0023] The control response value represents the time between the moment when the total amount of harmful gas growth change exceeds the preset threshold and the moment when the laboratory fume hood responds to speed regulation; the speed control value represents the time between the actual operating speed of the current laboratory fume hood and the operating speed corresponding to the total amount of harmful gas emissions and the total amount of harmful gas growth change.

[0024] The beneficial effects of the present invention are as follows:

[0025] (1) The present invention analyzes the operation and control response from two points to achieve accurate monitoring of the operating performance of the laboratory fume hood to ensure the operating stability of the laboratory fume hood, and performs ventilation performance deviation risk analysis on the ventilation performance data to determine whether the ventilation efficiency of the laboratory fume hood is qualified, so as to timely perform early warning feedback management, and further performs ventilation flow supervision analysis on the ventilation characteristic data to analyze from the perspective of gas flow, and conducts a comprehensive analysis in combination with interference factors to improve the diversity of analysis data, which is helpful to accurately analyze the operating performance of the laboratory fume hood so as to rationalize management;

[0026] (2) The present invention performs adaptive response supervision analysis from the control response by means of information feedback to determine whether the adaptive control performance of the laboratory fume hood is qualified, so as to perform rational management according to the information feedback to improve the operation control response performance of the laboratory fume hood. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] The present invention will be further described below in conjunction with the accompanying drawings;

[0028] Figure 1 It is a flowchart of the system of the present invention;

[0029] Figure 2 It is a reference diagram of the method of the present invention. DETAILED DESCRIPTION

[0030] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0031] Embodiment 1:

[0032] See also Figure 1 to Figure 2 As shown, the present invention is a biological laboratory fume hood operation performance monitoring system, including a ventilation monitoring platform, a ventilation data unit, a ventilation efficiency unit, an airflow characteristic unit, a performance interference unit, a regulation response unit and a ventilation processing unit, the ventilation monitoring platform is connected to the ventilation data unit in a one-way communication, the ventilation data unit is connected to the ventilation efficiency unit and the airflow characteristic unit in a one-way communication, the ventilation efficiency unit is connected to the performance interference unit and the airflow characteristic unit in a one-way communication, the performance interference unit is connected to the airflow characteristic unit in a one-way communication, the airflow characteristic unit is connected to the regulation response unit and the ventilation processing unit in a one-way communication, and the regulation response unit is connected to the ventilation processing unit in a one-way communication;

[0033] When the ventilation monitoring platform detects that any laboratory fume hood is running, a supervision instruction is generated and sent to the ventilation data unit. After receiving the supervision instruction, the ventilation data unit immediately collects the ventilation performance data and ventilation characteristic data of the laboratory fume hood, and sends the ventilation performance data and ventilation characteristic data to the ventilation efficiency unit and the airflow characteristic unit respectively. After receiving the ventilation performance data, the ventilation efficiency unit immediately performs ventilation performance deviation risk analysis on the ventilation performance data to determine whether the ventilation efficiency of the laboratory fume hood is qualified, so as to conduct early warning feedback management in a timely manner to improve the operating performance stability of the laboratory fume hood. The specific ventilation performance deviation risk analysis process is as follows:

[0034] The laboratory fume hood operation time period is collected and set as the time threshold, and the time threshold is divided into i sub-time periods, where i is a natural number greater than zero, and the ventilation performance data of the laboratory fume hood in each sub-time period is obtained. The ventilation performance data includes the actual fan full wind pressure value and the actual operation energy consumption value, and then the value obtained by subtracting the actual fan full wind pressure value from the theoretical fan full wind pressure value is set as the full wind pressure offset value, and the value obtained by subtracting the theoretical operation energy consumption value from the actual operation energy consumption value is set as the energy consumption offset value. It should be noted that the analysis is conducted from the practical and theoretical perspectives to understand the operation performance of the laboratory fume hood;

[0035] In the embodiment of the present invention, the full wind pressure offset value and the energy consumption offset value are two quantitative values ​​used to evaluate the operating performance of the laboratory fume hood; the fan full wind pressure means the full pressure performance of the fan, which represents the ability of the fan to transport gas, that is, the ability to overcome wind resistance;

[0036] The value obtained by multiplying the values ​​corresponding to the total wind pressure offset value and the energy consumption offset value is set as the ventilation efficiency index. A rectangular coordinate system is established with the number of sub-time periods as the X-axis and the ventilation efficiency index as the Y-axis. The ventilation efficiency index curve is drawn by plotting points, and then the length of the connection between each plotted point is obtained, and the length is set as the ventilation deviation coefficient. The set A of the ventilation deviation coefficient is further constructed, and the difference between the maximum element and the minimum element in the set A is obtained. The difference between the maximum element and the minimum element in the set A is set as the floating deviation span value, and the floating deviation span value is compared and analyzed with the preset floating deviation span value threshold value stored in the internal entry:

[0037] If the ratio between the floating deviation span value and the preset floating deviation span value threshold is less than 1, a stable signal is generated;

[0038] If the ratio between the floating deviation span value and the preset floating deviation span value threshold is greater than or equal to 1, a fluctuation signal is generated, and the stable signal and the fluctuation signal are sent to the ventilation processing unit through the airflow characteristic unit. After receiving the stable signal and the fluctuation signal, the ventilation processing unit immediately performs the preset early warning operation corresponding to the stable signal and the fluctuation signal, so as to perform rational management according to the information feedback, so as to improve the operating performance stability of the laboratory fume hood;

[0039] When a stable signal is generated, the performance interference unit is used to respond to the stable signal to collect the interference data of the laboratory fume hood, and perform a performance interference quantitative evaluation and analysis on the interference data to understand the performance interference of the laboratory fume hood, so as to provide data support for subsequent analysis. The specific performance interference quantitative evaluation and analysis process is as follows:

[0040] Obtain the interference data of the laboratory fume hood within the time threshold, the interference data includes the internal interference index and the external interference index, and compare and analyze the internal interference index threshold and the external interference index threshold that are stored and recorded internally:

[0041] If the internal interference index is less than the preset internal interference index threshold, and the external interference index is less than the preset external interference index threshold, and it is determined to be first-level interference;

[0042] If the internal interference index is greater than or equal to the preset internal interference index threshold, or the external interference index is greater than or equal to the preset external interference index threshold, and it is determined to be a secondary interference, the set interference values ​​corresponding to the primary interference and the secondary interference are obtained, and the set interference values ​​corresponding to the primary interference and the secondary interference are set as interference quantification indexes, and the interference quantification indexes are sent to the airflow characteristic unit;

[0043] In the embodiment of the present invention, the internal interference index represents the number of airflow interference sources, and the airflow interference sources include the number between the number of open doors or windows and the number of open fans in the ventilation working area. It should be noted that the performance interference of the laboratory fume hood is analyzed from the perspective of the ambient airflow interference source, so as to accurately analyze the operating performance of the laboratory fume hood;

[0044] In an embodiment of the present invention, the external interference index represents the product value obtained by multiplying the minimum ventilation cross-section of the exhaust duct path of the laboratory fume hood and the number of bends in the exhaust duct path after data normalization. It should be noted that the analysis is performed from the perspective of rear-end exhaust to understand the impact of interference data on the operating performance of the laboratory fume hood.

[0045] Embodiment 2:

[0046] When a stable signal is generated, the airflow characteristic unit is used to respond to the stable signal and perform ventilation flow supervision analysis on the received ventilation characteristic data so as to analyze from the perspective of gas flow to understand the ventilation operation performance of the laboratory fume hood. The specific ventilation flow supervision analysis process is as follows:

[0047] With the laboratory fume hood as the center and R1 as the radius, the laboratory indoor area obtained by drawing a circle around the laboratory fume hood is set as the ventilation working area. Several monitoring devices are set from near to far in the ventilation working area with the center of the circle as the starting point, and the ventilation characteristic data of each monitoring device in the ventilation working area within the time threshold are obtained. The ventilation characteristic data includes the airflow velocity value and the flow rate value per unit time, and then the airflow velocity value and the flow rate value per unit time are labeled as QL and LL respectively. According to the formula Q = (QL×a1+LL×a2) 2 ×a3÷GL×a4 to obtain the airflow assessment coefficient, where a1, a2 and a3 are respectively the preset proportional factor coefficients of the airflow velocity value, the flow value per unit time and the interference quantification index GL. The proportional factor coefficient is used to correct the deviation of various parameters in the formula calculation process, so as to make the calculation result more accurate. a4 is the preset correction factor coefficient. a1, a2, a3 and a4 are all greater than zero. Q is the airflow assessment coefficient. The airflow assessment coefficient Q is compared and analyzed with the preset airflow assessment coefficient threshold value stored in the internal input:

[0048] If the airflow evaluation coefficient Q is less than the preset airflow evaluation coefficient Q threshold, the corresponding monitoring device is determined to be an out-of-region device;

[0049] If the airflow assessment coefficient Q is greater than or equal to the preset airflow assessment coefficient Q threshold, the corresponding monitoring device is determined to be a device within the area;

[0050] The ratio between the number of devices outside the area and the number of devices inside the area within the time threshold is obtained, and the ratio between the number of devices outside the area and the number of devices inside the area is set as the ventilation flow deviation index, and the ventilation flow deviation index is judged:

[0051] If the ventilation flow deviation index is less than a preset ventilation flow deviation index threshold, a normal signal is generated;

[0052] If the ventilation flow deviation index is greater than or equal to the preset ventilation flow deviation index threshold, an abnormal signal is generated, and the normal signal and the abnormal signal are sent to the ventilation processing unit. After receiving the normal signal and the abnormal signal, the ventilation processing unit immediately performs the preset early warning operation corresponding to the normal signal and the abnormal signal, so as to perform rational management according to the information feedback, so as to improve the operating performance stability of the laboratory fume hood;

[0053] In the embodiment of the present invention, the monitoring equipment includes but is not limited to: a gas flow monitor, a flow velocity measuring instrument;

[0054] The control response unit is used to respond to normal signals to collect the control risk data of the laboratory fume hood, and perform adaptive response supervision analysis on the control risk data to determine whether the adaptive control performance of the laboratory fume hood is qualified, so as to make timely feedback adjustments to improve the adaptive control performance of the laboratory fume hood. The specific adaptive response supervision analysis process is as follows:

[0055] Obtain the control risk data of the laboratory fume hood within the time threshold. The control risk data includes the control response value and the speed control value. The control response value and the speed control value are labeled as TK and ZK respectively. According to the formula K = [(TK + ZK × f2) × f1] 2 ×f3 to obtain the response evaluation coefficient, where f1 and f2 are the preset weight factor coefficients of the control response value and the speed control value, respectively, f3 is the preset fault tolerance factor coefficient, f1, f2 and f3 are all greater than zero, K is the response evaluation coefficient, and the response evaluation coefficient K is compared and analyzed with the thresholds E1 and E2 stored in the internal entry, and the threshold E1 is less than the threshold E2:

[0056] If the response evaluation coefficient K is less than the threshold value E1, it is determined to be a first-level response;

[0057] If the threshold E1≤response evaluation coefficient K≤threshold E2, it is determined as a secondary response;

[0058] If the response evaluation coefficient K>threshold E2, it is determined as a third-level response, wherein the control response risks of the first-level response, the second-level response and the third-level response increase in turn, and the first-level response, the second-level response and the third-level response are set as the response index XZ, XZ=1, 2, 3, that is, the response index XZ=1 indicates a first-level response, the response index XZ=2 indicates a second-level response, and the response index XZ=3 indicates a third-level response, and the response index XZ is discriminated:

[0059] If the response index XZ=1 or the response index XZ=2, no signal is generated;

[0060] If the response index XZ=3, an alarm signal is generated and sent to the ventilation processing unit. After receiving the alarm signal, the ventilation processing unit immediately performs the preset warning operation corresponding to the alarm signal, so as to perform rational management according to the information feedback, so as to improve the operation and control response performance of the laboratory fume hood;

[0061] In the embodiment of the present invention, the control response value represents the time between the moment when the total amount of harmful gas growth change value exceeds the preset threshold value and the moment when the laboratory fume hood responds to the speed adjustment. It should be noted that the wind speed adjustment is determined based on the growth change of the total amount of harmful gas to understand the response performance of the laboratory fume hood;

[0062] In the embodiment of the present invention, the speed control value represents the time between the actual operating speed of the current laboratory fume hood and the operating speed corresponding to the total amount of harmful gas emissions and the increase and change value of the total amount of harmful gas. It should be noted that the response control accuracy of the laboratory fume hood is analyzed from the perspective of speed control.

[0063] Embodiment three:

[0064] A method for monitoring the operating performance of a biological laboratory fume hood comprises the following steps:

[0065] Step 1: Collect the ventilation performance data and ventilation characteristic data of the laboratory fume hood, and collect the ventilation performance deviation risk analysis in step 2 and the ventilation flow supervision analysis in step 4;

[0066] Step 2: Perform ventilation performance deviation risk analysis in a progressive manner, compare and analyze the obtained floating deviation span values, and if a stable signal is obtained, proceed to step 3 and step 4; if a fluctuation signal is obtained, feedback management is performed;

[0067] Step 3: Collect the interference data of the laboratory fume hood in response to the stable signal, and perform performance interference quantitative evaluation and analysis on the interference data to obtain the interference quantitative index, and then proceed to step 4;

[0068] Step 4: Conduct ventilation flow supervision and analysis through information feedback, and perform discrimination processing on the obtained ventilation flow deviation index. If a normal signal is obtained, proceed to step 5. If an abnormal signal is obtained, feedback management is performed;

[0069] Step 5: Respond to normal signals and collect the control risk data of laboratory fume hoods for adaptive response supervision analysis. Conduct in-depth analysis from the perspective of response performance, and perform discrimination processing on the obtained response index XZ. If an alarm signal is obtained, feedback management is provided;

[0070] A computer-readable storage medium storing a computer program, wherein the computer program implements the above method when executed by a processor;

[0071] In summary, the present invention realizes accurate monitoring of the operating performance of laboratory fume hoods by analyzing from two points of operation and control response to ensure the operating stability of laboratory fume hoods, performs ventilation performance deviation risk analysis on ventilation performance data to determine whether the ventilation efficiency of laboratory fume hoods is qualified, so as to timely perform early warning feedback management, and further performs ventilation flow supervision analysis on ventilation characteristic data to analyze from the perspective of gas flow, and conducts a comprehensive analysis in combination with interference factors to improve the diversity of analysis data, which helps to accurately analyze the operating performance of laboratory fume hoods so as to rationalize management, and conducts adaptive response supervision analysis from the control response by means of information feedback to determine whether the adaptive control performance of laboratory fume hoods is qualified, so as to perform rational management according to the information feedback, so as to improve the operation and control response performance of laboratory fume hoods.

[0072] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0073] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the actual value. The coefficients in the formula are set by technical personnel in this field according to actual conditions. The above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited to this. Any technical personnel familiar with the technical field within the technical scope disclosed by the present invention, according to the technical solution and the inventive concept of the present invention, make equivalent replacement or change, which should be covered within the protection scope of the present invention.

Claims

1. A biological laboratory fume hood operation performance monitoring system, characterized in that: It includes ventilation monitoring platform, ventilation data unit, ventilation efficiency unit, airflow characteristic unit, performance interference unit, control response unit and ventilation processing unit; After receiving the supervision instruction, the ventilation data unit immediately collects the ventilation performance data and ventilation characteristic data of the laboratory fume hood, and sends the ventilation performance data and ventilation characteristic data to the ventilation efficiency unit and the airflow characteristic unit respectively; After receiving the ventilation performance data, the ventilation efficiency unit immediately performs ventilation performance deviation risk analysis on the ventilation performance data, and sends the obtained stable signal and fluctuation signal to the ventilation processing unit via the airflow characteristic unit; The performance interference unit is used to collect interference data of the laboratory fume hood in response to the stable signal, and perform performance interference quantitative evaluation and analysis on the interference data, and send the obtained interference quantitative index to the airflow characteristic unit; The airflow characteristic unit is used to respond to the stable signal, and perform ventilation flow supervision analysis on the received ventilation characteristic data, and send the obtained normal signal and abnormal signal to the ventilation processing unit; The control response unit is used to collect the control risk data of the laboratory fume hood in response to the normal signal, and perform adaptive response supervision analysis on the control risk data, and send the obtained alarm signal to the ventilation processing unit.

2. A biological laboratory fume hood operation performance monitoring system according to claim 1, characterized in that: The ventilation performance deviation risk analysis process of the ventilation efficiency unit is as follows: The laboratory fume hood operation time period is collected and set as the time threshold, the time threshold is divided into i sub-time periods, i is a natural number greater than zero, and the ventilation performance data of the laboratory fume hood in each sub-time period is obtained. The ventilation performance data includes the actual fan full wind pressure value and the actual operation energy consumption value, and then the value obtained by subtracting the actual fan full wind pressure value from the theoretical fan full wind pressure value is set as the full wind pressure offset value, and the value obtained by subtracting the theoretical operation energy consumption value from the actual operation energy consumption value is set as the energy consumption offset value; The value obtained by multiplying the values ​​corresponding to the total wind pressure offset and the energy consumption offset is set as the ventilation efficiency index. A rectangular coordinate system is established with the number of sub-time periods as the X-axis and the ventilation efficiency index as the Y-axis. The ventilation efficiency index curve is drawn by plotting points, and the length of the connection between each plotted point is obtained, and the length is set as the ventilation deviation coefficient. The set A of ventilation deviation coefficients is further constructed, and the difference between the maximum element and the minimum element in the set A is obtained. The difference between the maximum element and the minimum element in the set A is set as the floating deviation span value. The floating deviation span value is compared and analyzed with the preset floating deviation span value threshold entered and stored internally to obtain a stable signal and a fluctuating signal.

3. A biological laboratory fume hood operation performance monitoring system according to claim 2, characterized in that: The performance interference quantitative evaluation and analysis process of the performance interference unit is as follows: The interference data of the laboratory fume hood within the time threshold is obtained, and the interference data includes an internal interference index and an external interference index. The internal interference index and the external interference index are compared and analyzed with the preset internal interference index threshold and the preset external interference index threshold that are internally entered and stored, and the first-level interference and the second-level interference are obtained. The set interference values ​​corresponding to the first-level interference and the second-level interference are obtained, and the set interference values ​​corresponding to the first-level interference and the second-level interference are set as interference quantification indexes.

4. A biological laboratory fume hood operation performance monitoring system according to claim 3, characterized in that: The internal interference index represents the number of airflow interference sources, which includes the number between the number of open doors or windows and the number of open fans in the ventilation working area; the external interference index represents the product value obtained by multiplying the minimum ventilation cross-section of the exhaust duct path of the laboratory fume hood and the number of bends in the exhaust duct path after data normalization.

5. A biological laboratory fume hood operation performance monitoring system according to claim 4, characterized in that: The ventilation flow supervision analysis process of the airflow characteristic unit is as follows: With the laboratory fume hood as the center and R1 as the radius, the indoor area of ​​the laboratory obtained by drawing a circle around the laboratory fume hood is set as the ventilation working area, and several monitoring devices are set from near to far in the ventilation working area with the center of the circle as the starting point, and the ventilation characteristic data of each monitoring device in the ventilation working area within the time threshold is obtained. The ventilation characteristic data includes airflow velocity value and unit time flow value, and then the airflow velocity value and unit time flow value are labeled as QL and LL respectively, and the airflow flow evaluation coefficient Q is obtained according to the formula, and the airflow flow evaluation coefficient Q is compared and analyzed with the preset airflow flow evaluation coefficient threshold value entered and stored internally to obtain the equipment outside the area and the equipment inside the area.

6. A biological laboratory fume hood operation performance monitoring system according to claim 5, characterized in that: The ratio between the number of devices outside the area and the number of devices within the area within the time threshold is obtained, and the ratio between the number of devices outside the area and the number of devices within the area is set as the ventilation flow deviation index, and the ventilation flow deviation index is discriminated and processed to obtain normal signals and abnormal signals.

7. A biological laboratory fume hood operation performance monitoring system according to claim 6, characterized in that: The adaptive response supervision analysis process of the regulatory response unit is as follows: The control risk data of the laboratory fume hood within the time threshold is obtained. The control risk data includes the control response value and the speed control value. The control response value and the speed control value are labeled TK and ZK respectively. The response evaluation coefficient K is obtained according to the formula. The response evaluation coefficient K is compared and analyzed with the threshold E1 and threshold E2 stored internally. The threshold E1 is less than the threshold E2, and the first-level response, the second-level response and the third-level response are obtained. The first-level response, the second-level response and the third-level response are set as the response index XZ, XZ=1, 2, 3, and the response index XZ is discriminated and processed to obtain an alarm signal; The control response value represents the time between the moment when the total amount of harmful gas increases and changes beyond the preset threshold and the moment when the laboratory fume hood responds to the speed regulation; The speed control value represents the time between the actual operating speed of the current laboratory fume hood and the operating speed corresponding to the total amount of harmful gas emissions and the increase in the total amount of harmful gas.

8. A method for monitoring the operating performance of a biological laboratory fume hood, the method being applied to a biological laboratory fume hood operating performance monitoring system according to claim 7, characterized in that: The following steps are involved: Step 1: Collect the ventilation performance data and ventilation characteristic data of the laboratory fume hood, and collect the ventilation performance deviation risk analysis in step 2 and the ventilation flow supervision analysis in step 4; Step 2: Perform ventilation performance deviation risk analysis in a progressive manner, compare and analyze the obtained floating deviation span values, and if a stable signal is obtained, proceed to step 3 and step 4; if a fluctuation signal is obtained, feedback management is performed; Step 3: Collect the interference data of the laboratory fume hood in response to the stable signal, and perform performance interference quantitative evaluation and analysis on the interference data to obtain the interference quantitative index, and then proceed to step 4; Step 4: Conduct ventilation flow supervision and analysis through information feedback, and perform discrimination processing on the obtained ventilation flow deviation index. If a normal signal is obtained, proceed to step 5. If an abnormal signal is obtained, feedback management is performed; Step 5: Respond to normal signals and collect the control risk data of laboratory fume hoods for adaptive response supervision analysis. Conduct in-depth analysis from the perspective of response performance, and perform judgment processing on the obtained response index XZ. If an alarm signal is obtained, feedback management is provided.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method according to claim 8 is implemented.

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