Intelligent debugging method and system for fume hood

Abstract

The application relates to the field of intelligent debugging, in particular to an intelligent debugging method and system for a fume hood, which comprises the following steps: collecting a wind speed value at a preset sampling position of a fume hood door; calculating a real-time wind speed escape response value; determining that the fume hood is in a pending abnormal state in response to the real-time wind speed of any wind speed collection device being greater than the wind speed escape response value; constructing a wind point matrix based on position points arranged at equal intervals on a fume hood door plane according to a total number of the position points, calculating a real value of each position point in the wind point matrix, and constructing a real value matrix; dividing the real value matrix into target regions, calculating a mismatch value of the target regions, iteratively calculating the total number of the position points in the wind point matrix based on the mismatch value, and outputting the target regions as a face wind range; obtaining a face wind speed value according to the wind speed value and the face wind range, and controlling the fume hood to reduce an experimental wind speed based on the face wind speed value. The application has the effects of improving the accuracy of the face wind speed value and completing leakage control.

Description

Technical Field

[0001] This application relates to the field of intelligent commissioning, and in particular to an intelligent commissioning method and system for fume hoods. Background Technology

[0002] Fume hoods are essential local exhaust safety devices in laboratories. They create negative pressure inside the hood through a fan system, effectively expelling harmful gases, dust, or vapors generated during experiments. Their non-backflow design and liftable glass windows isolate pollutants from the operator and the laboratory environment.

[0003] In actual use, the user's actions can alter the airflow field inside the fume hood, causing changes in the face velocity. Excessive face velocity can lead to the escape of experimental gases. Furthermore, current technologies for detecting face velocity rely solely on area and the wind speed value from a wind speed sensor, often resulting in significant errors. Summary of the Invention

[0004] To address the issue of face velocity, this application provides an intelligent adjustment method and system for fume hoods.

[0005] Firstly, this application provides an intelligent commissioning method for fume hoods, employing the following technical solution:

[0006] A smart debugging method for fume hoods includes the following steps: collecting wind speed values ​​at preset sampling locations on the fume hood door; multiplying the real-time opening / closing degree of the fume hood door by a standard face wind speed to obtain a wind speed escape response value; determining the real-time state of the fume hood based on the wind speed escape response value; when the real-time state of the fume hood is an undetermined abnormal state, obtaining a face wind speed value based on the wind speed value and a calculated face wind range, and adjusting the experimental wind speed of the fume hood using the face wind speed value; wherein, the calculation process of the face wind range is as follows: constructing a wind point matrix by arranging position points at equal intervals on the fume hood door plane based on a preset total number of position points; calculating the true value of each position point in the wind point matrix. A true value matrix is ​​constructed. At a given acquisition time, a location point is randomly selected from the wind point matrix as the virtual face wind center. The average contribution of the wind speed of all wind speed acquisition devices to the virtual face wind center is calculated as the true value of the virtual face wind center. The true value matrix is ​​then divided into regions to obtain the target region, and the mismatch value of the target region is calculated. If the mismatch value is less than a preset mismatch value threshold, the target region is output as the face wind range. Conversely, if the mismatch value is greater than or equal to the preset mismatch value threshold, the total number of location points is increased by a preset multiple, and the mismatch value of the target region is repeatedly calculated until it is less than the preset mismatch value threshold. The target region is then output as the face wind range.

[0007] Optionally, a constant wind speed is set at the geometric center of the fume hood vertically. For each preset distance increase in the opening and closing height of the fume hood, the wind speed of each wind speed acquisition device is recorded and marked as the wind speed escape response value of the corresponding wind speed acquisition device under the preset distance interval. Each wind speed acquisition device corresponds to a wind speed escape response value under each preset distance interval.

[0008] Optionally, an airflow matrix can be constructed by arranging airflow points at equal intervals on the plane between the upper fixed door frame and the lower movable door frame of the fume hood door.

[0009] Optionally, the position point corresponding to the maximum value in the true value matrix is ​​taken as the starting point, and continuous growth is performed outwards. For each additional position, the average of the true values ​​is calculated. The absolute value of the difference between the average of the true values ​​after the growth and the average of the true values ​​before the growth is divided by the average of the true values ​​before the growth is used as the growth value. When the growth value is less than the growth threshold, it means that the position point can be used as a growth point and can continue to grow; otherwise, it cannot be used as a growth point and cannot continue to grow, until all position points can no longer grow. At this point, the range formed by all position points that have completed the growth is the target area.

[0010] Optionally, when the face velocity value is greater than the preset standard face velocity, the fume hood is controlled to reduce the experimental wind speed until the face velocity value is less than or equal to the standard face velocity, at which point the adjustment stops.

[0011] Secondly, this application provides an intelligent debugging system for fume hoods, which adopts the following technical solution: an intelligent debugging system for fume hoods, comprising: a processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, the intelligent debugging method for fume hoods described above is implemented.

[0012] This application has the following technical advantages:

[0013] By distributing wind speed acquisition devices to collect real-time wind speed values ​​at the fume hood doors and combining this with dynamic calculation of wind speed escape response values, potential abnormal states can be quickly identified, significantly improving the safety performance and response sensitivity of the fume hood. By constructing a wind point matrix and a true value matrix, and using region partitioning or region growing algorithms to calculate the mismatch value of the target area, the total number of location points is iteratively optimized based on the mismatch value, making the identification of the face wind range more accurate, thereby greatly improving the calculation accuracy of the face wind speed value. Based on the real-time comparison of the face wind speed value with the preset standard face wind speed, the experimental wind speed of the fume hood is intelligently controlled. Based on a feedback adjustment mechanism, automatic adjustment is achieved, ensuring not only the stability and safety of the experimental environment but also optimizing the fan operating efficiency and reducing energy consumption. Attached Figure Description

[0014] The above and other objects, features, and advantages of exemplary embodiments of this application will become readily understood by reading the following detailed description with reference to the accompanying drawings. Several embodiments of this application are illustrated in the drawings by way of example and not limitation, and the same or corresponding reference numerals denote the same or corresponding parts.

[0015] Figure 1 This is a flowchart of an intelligent commissioning method for fume hoods according to an embodiment of this application. Detailed Implementation

[0016] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0017] This application discloses an intelligent commissioning method for fume hoods, referring to... Figure 1 The process includes steps S1-S5, as detailed below:

[0018] S1: Obtain wind speed values ​​by deploying wind speed acquisition devices in a distributed manner.

[0019] An air velocity sampling devices are installed at equal intervals on the upper fixed door frame and the lower movable door frame of the fume hood. For example, a preset number of air velocity sampling devices are installed at equal intervals on the upper fixed door frame and a preset number of air velocity sampling devices are installed at equal intervals on the lower movable door frame.

[0020] During the period from the second before the fume hood door opens to the moment the fume hood door closes, all wind speed acquisition devices collect wind speed data once per second.

[0021] S2: Calculate the real-time wind speed escape response value and determine the real-time status of the fume hood based on the wind speed escape response value.

[0022] In one embodiment, taking any wind speed acquisition device as an example, the wind speed escape response value of the wind speed acquisition device is calculated by multiplying the real-time opening degree of the fume hood door by the standard face wind speed, which is then used as the wind speed escape response value. The opening degree is the ratio of the real-time opening height to the maximum opening height of the fume hood door. For example, the standard face wind speed is the minimum value of 0.4 m / s within the industry standard range.

[0023] If the real-time wind speed of any wind speed acquisition device is greater than the wind speed escape response value calculated above, it indicates that there is a risk that the face wind speed will exceed the standard wind speed, and it is judged as an undetermined abnormal state, so the real wind speed needs to be obtained.

[0024] It should be noted that, since the wind speed escape response value setting in the above embodiments ignores the influence of the width of the fume hood door on the face wind, the effect is poor on some fume hoods with larger widths. Therefore, the following embodiments are proposed.

[0025] In another embodiment, the wind speed escape response value can also be obtained through experiments with a corresponding fume hood. A constant wind speed is set vertically to the door at the geometric center of the fume hood. For each preset increase in the door opening height, the wind speed of each wind speed acquisition device is recorded and marked as the corresponding wind speed escape response value for that device within the preset height range. That is, each wind speed acquisition device corresponds to one wind speed escape response value within each height range. When the door height is within a certain range, if the wind speed value of any wind speed acquisition device is greater than the corresponding wind speed escape response value, the fume hood is determined to be in a pending abnormal state. Conversely, if the wind speed is less than the corresponding escape response value, the fume hood is determined to be in a normal state. For example, the constant wind speed is the minimum value of 0.4 m / s within the industry standard range, and the preset height is 1 cm.

[0026] For example, when the height range is The escape response values ​​of the various wind speed acquisition devices were 0.43 m / s, 0.46 m / s, 0.48 m / s, 0.46 m / s, 0.43 m / s, 0.29 m / s, 0.30 m / s, 0.32 m / s, 0.30 m / s, and 0.29 m / s. When the wind speed value from the first wind speed acquisition device was greater than the corresponding escape response value of 0.43 m / s, the fume hood was determined to be in a pending abnormal state. Otherwise, it was determined to be in a normal state.

[0027] Setting the wind speed escape response value as the response condition for the undetermined abnormal state of the fume hood ensures high sensitivity of the response when the face wind speed is abnormal, while also allowing it to be excluded from the calculation when the face wind speed is not abnormal, thus reducing the amount of calculation and energy consumption.

[0028] S3: When the fume hood is in an undetermined abnormal state, construct a wind point matrix by arranging the position points at equal intervals on the fume hood door plane based on the preset total number of position points, calculate the true value of each position point in the wind point matrix, and construct a true value matrix.

[0029] Since the above process is a fuzzy judgment, it can only determine whether there is an anomaly in wind speed. Further information on the face wind speed is needed. The location of face wind escape is often not exactly at the location of the wind speed acquisition device; therefore, a more precise face wind speed is required. The method for obtaining the face wind speed follows this process:

[0030] A wind point matrix is ​​constructed by arranging the position points at equal intervals on the plane between the upper fixed door frame and the lower movable door frame of the fume hood door.

[0031] At a given data acquisition moment, a point is randomly selected from the wind point matrix as the virtual face wind center, and the contribution of any wind speed acquisition device to this virtual face wind center is calculated. ,in, The contribution of the virtual face wind center corresponding to the k-th wind speed acquisition device. Let be the Euclidean distance from the location of the k-th wind speed acquisition device to the virtual face wind center. This is a sequence of all Euclidean distances from the location points of each wind speed acquisition device to the virtual face wind center. This represents the kth wind speed value collected by the kth wind speed acquisition device. It should be noted that the location of the kth wind speed acquisition device in the wind point matrix is ​​marked by the point closest to the center of the set of wind speed acquisition devices within the wind point matrix.

[0032] Each wind speed acquisition device has a contribution score for its corresponding virtual face wind center. That is, one virtual face wind center corresponds to six contribution scores. The six contribution scores are summed to obtain the true value of the virtual face wind center.

[0033] The system iterates through the data to obtain the true values ​​for each location point, forming a true value matrix. Each data acquisition moment corresponds to a data point matrix, and each data point matrix corresponds to a true value matrix. For example, the 5th row and 6th column of the matrix represents the true values ​​of the location points in the 5th row and 6th column of the fume hood.

[0034] S4: Divide the true value matrix into regions to obtain the target region, calculate the mismatch value of the target region, and iterate the total number of location points to obtain the face wind range.

[0035] In the above process, due to the limitation on the total number of location points in the wind point matrix, there is a situation where the location point corresponding to the maximum true value obtained is only the relatively optimal face wind center point, which is significantly different from the actual face wind center point. Moreover, the face wind encountered by users when using fume hoods is often not point-like but area-like. Therefore, it is necessary to obtain the face wind in the fume hood, and thus, the face wind range needs to be obtained.

[0036] The target region is obtained by dividing the true value matrix into regions.

[0037] Starting from the point corresponding to the maximum value in the true value matrix, the matrix grows continuously outwards. For each new point, the mean of the true values ​​is calculated. The absolute value of this new mean minus the previous mean is divided by the previous mean, and this is used as the growth value. If the growth value is less than the growth threshold, the point is considered a viable growth point and growth continues. Otherwise, it is not considered a growth point and growth continues until all points have reached their limit. The area encompassed by all grown points at this point is the target region. For example, the growth threshold can be 0.1.

[0038] Calculate the difference between the true values ​​of each location point on the boundary of the target area and its nearest adjacent location point. Then, calculate the ratio of the minimum to the maximum value of all differences as the mismatch value. When the mismatch value is less than a preset mismatch threshold, the obtained target area can be considered as a face wind range. Conversely, when the mismatch value is greater than or equal to the preset mismatch threshold, the obtained target area cannot be considered as a face wind range, and the total number of location points in the wind point matrix needs to be increased by a preset multiple. Repeat the above steps to obtain the target area again until the mismatch value is less than the preset mismatch threshold. This yields the face wind range corresponding to that acquisition time, with the center point or starting point being the center point of the face wind range. For example, the preset mismatch threshold can be 0.8.

[0039] The above method can obtain a more accurate face wind range with relatively less computation, that is, the total number of location points included in the limited expansion wind point matrix, and the face wind range obtained after constraining the boundary is more accurate and more consistent with the actual face wind escape situation.

[0040] S5: Obtain real-time face wind speed values ​​based on the face wind range and the wind speed values ​​of each wind speed acquisition device.

[0041] The larger the proportion of the number of wind point matrix locations within the face wind range to the total number of locations in the wind point matrix, the more likely the wind speed values ​​collected by wind speed acquisition devices in the same face wind range can be used as new wind speed values.

[0042] The wind speed values ​​collected by all wind speed acquisition devices at the time of acquisition are sorted from largest to smallest to obtain the wind speed sorting sequence.

[0043] The face wind speed values ​​satisfy the following polynomial: ,in, This represents the surface wind speed at the time of data collection. This represents the number of wind point matrix locations contained within the windward area. The total number of location points contained in the wind point matrix. The nth wind speed value in the wind speed sorting sequence. Let Euclidean distance be the distance from the wind speed acquisition device to the center point of the face wind range corresponding to the nth wind speed value in the wind speed sorting sequence. This is a sequence of Euclidean distances from all wind speed acquisition devices to the center point of the face wind range.

[0044] By using the proportion of the face wind area to the fume hood door, the distance from each wind speed acquisition device to the center of the face wind area, and the wind speed collected by each wind speed acquisition device as constraints, the face wind speed value can be obtained more accurately.

[0045] S6: Adjust the experimental air velocity of the fume hood based on the real-time face velocity value.

[0046] Adjust the experimental air velocity of the fume hood based on the real-time face velocity value obtained above. The specific operation is as follows:

[0047] When the face velocity value is greater than the standard face velocity, it means that the experimental wind speed of the fume hood needs to be reduced. Control the fume hood to reduce the experimental wind speed until the face velocity value is less than or equal to the standard face velocity, then stop adjusting.

[0048] This application also discloses an intelligent debugging system for fume hoods, including a processor and a memory. The memory stores computer program instructions, and when the computer program instructions are executed by the processor, the intelligent debugging method for fume hoods according to this application is implemented.

[0049] The system also includes other components well known to those skilled in the art, such as communication buses and communication interfaces, the settings and functions of which are known in the art and will not be described in detail here.

[0050] In this application, the aforementioned memory can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. For example, a computer-readable storage medium can be any suitable magnetic or magneto-optical storage medium, such as Resistive Random Access Memory (RRAM), Dynamic Random Access Memory (DRAM), Static Random Access Memory (SRAM), Enhanced Dynamic Random Access Memory (EDRAM), High Bandwidth Memory (HBM), Hybrid Memory Cube (HMC), etc., or any other medium that can be used to store required information and can be accessed by an application, module, or both. Any such computer storage medium can be part of a device or accessible to or connected to a device.

[0051] While this specification has shown and described numerous embodiments of the present application, it will be apparent to those skilled in the art that such embodiments are provided by way of example only. Many modifications, alterations, and alternatives will arise for those skilled in the art without departing from the spirit and intent of the present application. It should be understood that various alternatives to the embodiments of the present application described herein may be employed in the practice of this application.

[0052] The above are all preferred embodiments of this application and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.

Claims

1. An intelligent commissioning method for fume hoods, characterized in that, Including the following steps: Collect the wind speed value at the preset sampling position of the fume hood door; multiply the opening degree of the fume hood door in real time with the standard face wind speed to obtain the wind speed escape response value; determine the real-time status of the fume hood based on the wind speed escape response value; when the real-time status of the fume hood is an undetermined abnormal state, obtain the face wind speed value based on the wind speed value and the calculated face wind range, and adjust the experimental wind speed of the fume hood using the face wind speed value. The calculation process for the face wind range is as follows: A wind point matrix is ​​constructed by arranging the wind point points at equal intervals on the fume hood door plane based on a preset total number of location points. The true value of each location point in the wind point matrix is ​​calculated to construct a true value matrix. At a given acquisition time, a location point is randomly selected from the wind point matrix as the virtual face wind center. The average contribution of the wind speed of all wind speed acquisition devices to the virtual face wind center is calculated as the true value of the virtual face wind center. The true value matrix is ​​divided into regions to obtain the target region, and the mismatch value of the target region is calculated. When the mismatch value is less than a preset mismatch value threshold, the target region is output as the face wind range. Conversely, when the mismatch value is greater than or equal to the preset mismatch value threshold, the total number of location points is increased by a preset multiple, and the mismatch value of the target region is repeatedly calculated until it is less than the preset mismatch value threshold. The target region is then output as the face wind range.

2. The intelligent commissioning method for fume hoods according to claim 1, characterized in that, The method for obtaining the wind speed escape response value includes: A constant wind speed is set at the geometric center of the fume hood vertically. For each preset distance increase in the opening and closing height of the fume hood, the wind speed of each wind speed acquisition device is recorded and marked as the wind speed escape response value of the corresponding wind speed acquisition device under the preset distance interval. Each wind speed acquisition device corresponds to a wind speed escape response value under each preset distance interval.

3. The intelligent commissioning method for fume hoods according to claim 1, characterized in that, The method for obtaining the wind point matrix is ​​as follows: A wind point matrix is ​​constructed by arranging the position points at equal intervals on the plane between the upper fixed door frame and the lower movable door frame of the fume hood door.

4. The intelligent commissioning method for fume hoods according to claim 1, characterized in that, The method for obtaining the target region by dividing the real value matrix into regions is as follows: Starting from the point corresponding to the maximum value in the true value matrix, the matrix grows continuously outwards. For each new point, the mean of the true values ​​is calculated. The growth value is calculated by subtracting the absolute value of the mean of the true values ​​before the previous growth from the mean of the true values ​​after the previous growth, and dividing by the mean of the true values ​​before the previous growth. When the growth value is less than the growth threshold, it means that the point can be used as a growth point and growth continues; otherwise, it cannot be used as a growth point and growth cannot continue, until all points can no longer grow. The area formed by all the points that have completed growth is the target region.

5. The intelligent commissioning method for fume hoods according to claim 1, characterized in that, The method of adjusting the experimental air velocity of the fume hood using the face velocity value includes: When the face velocity value is greater than the preset standard face velocity, control the fume hood to reduce the experimental wind speed until the face velocity value is less than or equal to the standard face velocity, then stop adjusting.

6. An intelligent commissioning system for fume hoods, characterized in that, include: A processor and a memory, the memory storing computer program instructions that, when executed by the processor, implement an intelligent commissioning method for fume hoods according to any one of claims 1-5.

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