High-cleanliness environment online monitoring door lock control system
By introducing a suspended particle counter, differential pressure sensor, and visual recognition technology into the airlock system, combined with an impact assessment module and an execution module, the buffer time and unlocking timing are dynamically adjusted, solving the problem that existing airlock systems cannot adapt to dynamic changes in cleanrooms, and achieving stable control and efficient passage in high-cleanliness environments.
Patent Information
- Application Number
- CN202511643133.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-11
- Publication Date
- 2026-03-03
AI Technical Summary
Existing airlock systems cannot respond to dynamic changes in the cleanroom environment in real time, resulting in a fixed buffer time that cannot adapt to airflow disturbances. This may lead to contaminants entering high-cleanliness areas and causing cross-contamination risks.
The system employs a suspended particle counter, differential pressure sensor, and thermal anemometer for real-time monitoring. It also captures dynamic images of personnel using a visual recognition module, calculates airflow stability coefficient and personnel disturbance index using an impact assessment module, dynamically adjusts buffer time and unlocking timing using an execution module, and provides fallback protection using a fail-safe module.
It enables multi-dimensional real-time monitoring and intelligent analysis of the cleanroom environment, dynamically adjusts door lock control, ensures the safety and access efficiency of the clean area, reduces the risk of misjudgment based on a single indicator, and enhances the reliability and intelligence level of the high-cleanliness environment.
Smart Images
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Abstract
Description
Technical Field
[0001] This invention relates to the field of air interlocking technology, and in particular to a high-cleanliness environment online monitoring door lock control system. Background Technology
[0002] Vaccine quality and safety are paramount, and the cleanliness of the production workshop is one of the core prerequisites for ensuring vaccine quality. During vaccine production, the cleanliness of the production environment must be strictly controlled to prevent contaminants such as microorganisms and dust from affecting vaccine quality. Airlock systems, as key equipment for cleanliness control in vaccine production workshops, are used to control air exchange between areas with different cleanliness levels. By installing door interlock systems between specific areas in personnel and material flow channels, a stable pressure difference is maintained within the cleanroom, preventing personnel and materials from bringing contaminants into the clean area and thus mitigating the risk of cross-contamination.
[0003] Current airlock systems still have several shortcomings: they generally rely on fixed preset buffer times, which are based on theoretical values or historical experience under ideal conditions and cannot respond to dynamically changing real-world environments. When personnel or materials enter or exit, causing airflow disturbances, increased suspended particle counts, or disruption of differential pressure stability, the fixed buffer time cannot accommodate the resulting extended self-cleaning requirements. Furthermore, the systems lack real-time monitoring and intelligent feedback mechanisms; their operating logic is simply to open the door, buffer for a timer, and then unlock, relying solely on time as the criterion for judgment, rather than directly verifying whether environmental quality has met standards. This could lead to contaminants being carried into higher-level clean areas after the buffer period, causing cross-contamination.
[0004] Therefore, there is an urgent need for a high-cleanliness environment online monitoring door lock control system to achieve real-time adjustment of the door lock control buffer time and ensure that the room's self-cleaning effect meets the environmental cleanliness requirements. Summary of the Invention
[0005] To address this issue, the present invention provides a high-cleanliness environment online monitoring door lock control system, which overcomes the problem that existing cleanroom access control interlock systems only use a fixed buffer time as the unlocking condition, cannot respond to dynamically changing cleanroom environments, and are prone to cross-contamination risks.
[0006] To achieve the above objectives, the present invention provides a high-cleanliness environment online monitoring door lock control system, comprising: The monitoring module includes a suspended particle counter, a differential pressure sensor, and a thermal anemometer. The suspended particle counter is used to detect the real-time suspended particle concentration at a preset state monitoring point inside the buffer room. The differential pressure sensor is used to detect the real-time pressure difference data at a preset pressure monitoring point inside and outside the buffer room. The thermal anemometer is used to detect the real-time airflow velocity at the preset state monitoring point. The visual recognition module is used to acquire dynamic images of people in the buffer room in real time to extract key parameters of the people, including the number of people, the activity area and the movement speed. An impact assessment module, which is connected to the monitoring module and the visual recognition module respectively, is used to determine the airflow stability coefficient based on the real-time airflow velocity and the real-time pressure difference data, determine the activity intensity index of each person entering the buffer room based on the key personnel parameters, and determine the personnel disturbance index based on the airflow stability coefficient, the activity intensity index, the real-time suspended particle concentration, and the key personnel parameters. An execution module, connected to the impact assessment module, is used to determine a dynamic buffer time based on the personnel disturbance index and a fixed buffer time, and to determine the unlocking timing based on the dynamic buffer time, real-time differential pressure data, and the real-time suspended particle concentration.
[0007] As a preferred technical solution for a high-cleanliness environment online monitoring door lock control system, the impact assessment module determines the wind speed stability and pressure difference stability based on the real-time airflow velocity and real-time pressure difference data within a preset time period after personnel enter the buffer room, and calculates the airflow stability coefficient based on the wind speed stability and the pressure difference stability.
[0008] As a preferred technical solution for a high-cleanliness environment online monitoring door lock control system, the impact assessment module determines the proportion of the activity area and the average movement speed of a single person within a preset number of frames after the person enters the buffer room, and determines the activity intensity index based on the proportion of the activity area and the average movement speed.
[0009] As a preferred technical solution for a high-cleanliness environment online monitoring door lock control system, the impact assessment module determines the activity area weight based on the activity area of a single person, determines the basic disturbance value based on the activity intensity index, the activity area weight, and the number of people, and determines the personnel disturbance index based on the airflow stability coefficient, the real-time suspended particle concentration, and the basic disturbance value.
[0010] As a preferred technical solution for a high-cleanliness environment online monitoring door lock control system, the impact assessment module determines the environmental cleanliness coefficient based on the real-time suspended particle concentration and particle concentration threshold, and determines the personnel disturbance index based on the environmental cleanliness coefficient, airflow stability coefficient, and basic disturbance value.
[0011] As a preferred technical solution for online monitoring door lock control systems in high-cleanliness environments, the visual recognition module pre-divides the floor plan of the buffer room into a grid, determines the risk weight of each active grid based on the fluid dynamics model of the buffer room, determines the activity area of a single person based on the dynamic images of the personnel, and determines the activity area weight based on the coverage of the activity area by the activity grid range and the corresponding risk weight.
[0012] As a preferred technical solution for a high-cleanliness environment online monitoring door lock control system, the execution module determines the unlocking timing based on the real-time differential pressure data and the real-time suspended particle concentration after the dynamic buffer time ends, including: In response to the real-time differential pressure data being within a preset differential pressure range and the real-time suspended particle concentration being less than or equal to a particle concentration threshold, unlocking is triggered; In response to the real-time differential pressure data not being within the preset differential pressure range, or the real-time suspended particle concentration being greater than the particle concentration threshold, the dynamic buffer time is extended.
[0013] As a preferred technical solution for a high-cleanliness environment online monitoring door lock control system, the execution module determines the pressure difference value based on the real-time pressure difference data and the preset pressure difference range, determines the particle concentration difference value based on the real-time suspended particle concentration and the particle concentration threshold, and determines the extension duration based on the pressure difference value, the particle concentration difference value, and the dynamic buffer time. The pressure difference and the particle concentration difference are both proportional to the duration of the extension.
[0014] As a preferred technical solution for a high-cleanliness environment online monitoring door lock control system, the execution module, in response to the real-time suspended particle concentration being greater than the particle concentration threshold, includes the particle concentration difference in the calculation of the extended duration; in response to the real-time suspended particle concentration being less than or equal to the particle concentration threshold, it does not include the particle concentration difference in the calculation of the extended duration.
[0015] As a preferred technical solution for a high-cleanliness environment online monitoring door lock control system according to claim 1, the high-cleanliness environment online monitoring door lock control system is characterized in that it further includes a fault-safe module, which is connected to the monitoring module and the execution module respectively, and is used to trigger a conservative mode according to a continuous fault signal from any sensor in the monitoring module. In the conservative mode, the execution module determines the final unlocking time according to a preset maximum buffer time.
[0016] Compared with existing technologies, the beneficial effects of this invention are as follows: This high-cleanliness environment online monitoring door lock control system overcomes the limitations of traditional fixed buffer times. Through real-time monitoring and intelligent analysis of multi-dimensional parameters, it achieves dynamic adaptive adjustment of door lock control. The monitoring module covers key environmental parameters, the visual recognition module captures personnel interference factors, the impact assessment module performs comprehensive multi-parameter analysis, the execution module dynamically adjusts the unlocking timing, and the fault safety module provides a safety net, forming a closed-loop control. This system can extend the buffer time during periods of high personnel disturbance to ensure sufficient self-cleaning of the environment, and shorten waiting times during periods of low disturbance to improve passage efficiency. Simultaneously, the multi-parameter collaborative judgment significantly reduces the risk of misjudgment based on a single indicator, enhancing the reliability and intelligence level of high-cleanliness environment control.
[0017] In particular, by integrating wind speed stability and pressure difference stability within a preset time period, this invention overcomes the limitations of single-point instantaneous data and can comprehensively capture the dynamic process of airflow from violent fluctuations to gradual stabilization after personnel enter the buffer room. This provides a reliable basis for subsequent personnel disturbance index calculation, ensures that the unlocking timing judgment does not deviate from the actual environmental state, and protects the clean area from the influence of unstable airflow.
[0018] In particular, this invention calculates the activity intensity index by combining the proportion of the activity area and the average movement speed within a preset number of frames, thereby achieving precise quantification of the range of human activity in the buffer zone. This provides a scientific basis for subsequent calculation of the human disturbance index, thereby further balancing the safety of the high-cleanliness environment with the efficiency of passage.
[0019] In particular, this invention quantifies the environment's tolerance to disturbances by deriving an environmental cleanliness coefficient based on real-time suspended particle concentration and particle concentration threshold, avoiding the neglect of differences in cleanliness baselines. It then calculates an environmental sensitivity coefficient based on the airflow stability coefficient and environmental cleanliness coefficient, integrating airflow stability and cleanliness tolerance to reflect the impact of environmental conditions on disturbances. Finally, it combines the baseline disturbance value and the environmental sensitivity coefficient to obtain a personnel disturbance index, achieving a comprehensive assessment of personnel activities, environmental cleanliness, and airflow conditions. This provides a scientific basis for adjusting dynamic buffer time and determining door lock unlocking timing, ensuring the stable operation of a high-cleanliness environment.
[0020] In particular, this invention determines the unlocking timing by using two parameters: suspended particle concentration and pressure difference. When the two parameters do not meet the standards, a dynamic buffer time extension mechanism is adopted to avoid the risk of unlocking when environmental parameters do not meet the standards, ensuring that the clean area is not contaminated. At the same time, it avoids indefinitely extending the buffer time, finding a balance between safety and efficiency, and meeting the strict control requirements of high-cleanliness environments.
[0021] In particular, this invention enables on-demand adjustment of the extended duration, enhancing the scientific nature and flexibility of high-cleanliness environment control. The extended duration is no longer a fixed value, but dynamically changes with the real-time state of the environment, ensuring the stability of the high-cleanliness environment while avoiding the waste of efficiency caused by excessively extended waiting time, thus achieving a precise balance between cleanliness and safety and passage efficiency. Attached Figure Description
[0022] Figure 1 This is a connection block diagram of the high-cleanliness environment online monitoring door lock control system according to an embodiment of the present invention; Figure 2 This is a flowchart illustrating the process of determining the personnel disturbance index in the impact assessment module of this invention. Figure 3 This is a flowchart illustrating how the visual recognition module determines the weight of the active area in an embodiment of the present invention. Figure 4 This is a flowchart illustrating the process by which the execution module of this embodiment determines the unlocking timing. Detailed Implementation
[0023] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.
[0024] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.
[0025] Please see Figure 1 The diagram shown is a connection block diagram of a high-cleanliness environment online monitoring door lock control system according to an embodiment of the present invention. To achieve real-time adjustment of the door lock control buffer time and ensure that the room's self-cleaning effect meets the environmental cleanliness requirements, the present invention provides a high-cleanliness environment online monitoring door lock control system, comprising: The monitoring module includes a suspended particle counter, a differential pressure sensor, and a thermal anemometer. The suspended particle counter is used to detect the real-time suspended particle concentration at a preset state monitoring point inside the buffer room. The differential pressure sensor is used to detect the real-time pressure difference data at a preset pressure monitoring point inside and outside the buffer room. The thermal anemometer is used to detect the real-time airflow velocity at the preset state monitoring point. The visual recognition module is used to acquire dynamic images of people in the buffer room in real time to extract key parameters of the people, including the number of people, the activity area and the movement speed. An impact assessment module, which is connected to the monitoring module and the visual recognition module respectively, is used to determine the airflow stability coefficient based on the real-time airflow velocity and the real-time pressure difference data, determine the activity intensity index of each person entering the buffer room based on the key personnel parameters, and determine the personnel disturbance index based on the airflow stability coefficient, the activity intensity index, the real-time suspended particle concentration, and the key personnel parameters. An execution module, connected to the impact assessment module, is used to determine a dynamic buffer time based on the personnel disturbance index and a fixed buffer time, and to determine the unlocking timing based on the dynamic buffer time, real-time differential pressure data, and the real-time suspended particle concentration.
[0026] In detail, real-time suspended particle concentration directly reflects the core cleanliness indicator within the buffer room; differential pressure data reflects the isolation and sealing between the buffer room and the outside world; and real-time airflow velocity reflects air circulation and disturbance diffusion capabilities. These three factors together constitute the basic parameters of the environment's self-cleaning capacity. The number of personnel, activity areas, and movement speed extracted through visual recognition reflect the intensity of disturbance to the environment from the perspective of personnel behavior. The more personnel, the wider the activity range, and the faster the speed, the more likely airflow turbulence and particle diffusion will occur. By determining the airflow stability coefficient through real-time airflow velocity and differential pressure data, the environment's anti-interference capability can be quantified. Combining key personnel parameters to generate a personnel activity intensity index and calculate a personnel disturbance index allows for an accurate assessment of the impact of personnel behavior on cleanliness. This data linkage analysis provides a scientific basis for setting dynamic buffer times. Dynamic buffer times are the waiting time calculated and adjusted in real-time based on a fixed buffer time and combined with real-time monitoring data. The fixed buffer time is the basic waiting time and does not change with real-time environmental variations. Ultimately, through a comprehensive judgment of dynamic buffer time, real-time differential pressure, and real-time suspended particle concentration, the unlocking timing ensures that it meets environmental cleanliness requirements while avoiding excessive waiting.
[0027] In implementation, preset status monitoring points are set at the four corners of the buffer room and near the air vents, avoiding direct placement below the air vents. There are at least five preset status monitoring points. Preset pressure monitoring points are set on the central walls of the buffer room, including the top, bottom, left, and right walls. The positions of the preset pressure monitoring points outside the buffer room correspond to those inside. There are at least four sets of preset pressure monitoring points, with one set of differential pressure monitoring points corresponding to one differential pressure data point. There are four preset pressure monitoring points inside and four outside the buffer room. The visual recognition module is a high-definition binocular camera used to capture dynamic images of personnel. It has a built-in recognition algorithm that uses the YOLOv8 target detection algorithm to identify personnel targets in real time. Combined with the DeepSORT multi-target tracking algorithm, it achieves cross-frame personnel matching. Based on stable recognition of three consecutive frames of video images, it counts the number of personnel. For each individual, it calculates the movement speed based on the ratio of the personnel's displacement within 10 consecutive frames to the corresponding time interval, where the time interval is the duration of the 10 consecutive frames.
[0028] In implementation, the fixed buffer time ranges from 10s to 40s, and is determined based on the cleanliness level. The higher the cleanliness level of the buffer room, the larger the fixed buffer time. The dynamic buffer time is determined by the personnel disturbance index and the fixed buffer time: Dynamic buffer time = Dynamic buffer time × Personnel disturbance index.
[0029] This invention, a high-cleanliness environment online monitoring door lock control system, overcomes the limitations of traditional fixed buffer times. Through real-time monitoring and intelligent analysis of multi-dimensional parameters, it achieves dynamic adaptive adjustment of door lock control: a monitoring module covers key environmental parameters, a visual recognition module captures personnel interference factors, an impact assessment module performs comprehensive multi-parameter analysis, an execution module dynamically adjusts the unlocking timing, and a fault-safe module provides a safety net, forming a closed-loop control system. This system can extend the buffer time during periods of high personnel disturbance to ensure sufficient self-cleaning of the environment, and shorten waiting times during periods of low disturbance to improve passage efficiency. Simultaneously, multi-parameter collaborative judgment significantly reduces the risk of misjudgment based on a single indicator, enhancing the reliability and intelligence of high-cleanliness environment control.
[0030] Specifically, after personnel enter the buffer room, the impact assessment module determines the wind speed stability and pressure difference stability based on the real-time airflow velocity and real-time pressure difference data within a preset time period, and calculates the airflow stability coefficient based on the wind speed stability and the pressure difference stability.
[0031] In detail, once personnel enter the buffer zone, airflow velocity and pressure differential fluctuate instantaneously, and single-point data cannot reflect environmental stability. Continuous data over a preset time period is required to calculate wind speed stability and pressure differential stability separately in order to accurately determine the airflow stability coefficient and avoid misjudgment. The preset time period is a continuous data acquisition window used to calculate wind speed stability and pressure differential stability. The preset time period must be shorter than the fixed buffer time to capture the characteristics of pressure differential and airflow velocity fluctuations at different stages.
[0032] In implementation, the preset time period is 1 / 5 to 1 / 2 of the fixed buffer time. The wind speed stability is the standard deviation of the real-time airflow velocity at all preset state monitoring points within the preset time period, divided by the mean of the real-time airflow velocity at all preset state monitoring points. The pressure difference stability is the standard deviation of the real-time pressure difference data at all preset pressure monitoring points inside and outside the buffer zone within the preset time period, divided by the mean of the real-time pressure difference data at all preset pressure monitoring points inside and outside the buffer zone. Where k is the attenuation coefficient. In order to make the airflow stability coefficient value within the range of 1 to 1, and to ensure that the airflow stability coefficient can become a sensitive indicator with good distinguishability, k is taken as 4 to 10, preferably k is taken as 8.
[0033] Based on the above embodiments, the present invention integrates the wind speed stability and pressure difference stability within a preset time period, overcoming the limitations of single-point instantaneous data. It can comprehensively capture the dynamic process of airflow from violent fluctuations to gradual stabilization after personnel enter the buffer room, providing a reliable basis for subsequent personnel disturbance index calculation, ensuring that the unlocking timing judgment does not deviate from the actual environmental state, and protecting the clean area from unstable airflow.
[0034] Specifically, after personnel enter the buffer room, the impact assessment module determines the proportion of the activity area and the average movement speed of a single person within a preset number of frames, and determines the activity intensity index based on the proportion of the activity area and the average movement speed.
[0035] In detail, the disturbance of personnel activities within the buffer zone to the clean environment is mainly reflected by the proportion of the activity area and the average movement speed. The larger the activity area, the wider the range of airflow disturbance, making it easier for suspended particles to disperse. The faster the movement speed, the higher the intensity of the disturbance to the surrounding airflow, potentially causing deposited particles to be re-raised. When moving slowly, the combination of these two factors can comprehensively reflect the spatial breadth and intensity of a single person's activity. Using a preset frame rate can filter out the randomness of instantaneous personnel movements, more objectively reflecting the continuous state of personnel activity.
[0036] In implementation, to accurately locate the activity status, movement speed, and activity area of all personnel, the preset frame rate ranges from 60 to 80 frames, preferably 70 frames. The activity area ratio of a single person is the ratio of the activity area to the total area of the buffer zone. The average movement speed of a single person is the average movement speed within the preset frame rate. The activity intensity index is the product of the activity area ratio and the speed ratio of a single person. The speed ratio is the average movement speed of a single person divided by a preset speed threshold. The preset speed threshold, set at 0.2 m / s, represents the speed at which a person will not significantly interfere with suspended particles or airflow, in order to minimize airflow interference and particle lifting.
[0037] Based on the above embodiments, the present invention calculates the activity intensity index by combining the proportion of the activity area and the average movement speed within a preset number of frames, thereby achieving accurate quantification of the range of personnel activity in the buffer zone and providing a scientific basis for subsequent calculation of the personnel disturbance index, thereby further balancing the safety guarantee and passage efficiency of the high-cleanliness environment.
[0038] like Figure 2As shown, it is a flowchart of the impact assessment module determining the personnel disturbance index in an embodiment of the present invention; specifically, the impact assessment module determines the activity area weight based on the activity area of a single person, determines the basic disturbance value based on the activity intensity index, the activity area weight and the number of people, and determines the personnel disturbance index based on the airflow stability coefficient, the real-time suspended particle concentration and the basic disturbance value.
[0039] In detail, different activity areas, such as those near air vents or in the corners of buffer zones, have varying environmental impacts, and the number of people adds to the disturbance effect. Therefore, it is necessary to first assign weights to activity areas, then combine the activity intensity index of each person with the number of people to calculate the basic disturbance value, and finally incorporate the airflow stability coefficient and suspended particle concentration to comprehensively determine the personnel disturbance index for all personnel entering the buffer zone.
[0040] In practice, the basic disturbance value is the sum of the products of the activity intensity index and the activity area weight of all personnel in the buffer zone. The basic disturbance value is Σ (the activity intensity index of a single person × the activity area weight of a single person).
[0041] Specifically, the impact assessment module determines the environmental cleanliness coefficient based on the real-time suspended particle concentration and the particle concentration threshold, and determines the personnel disturbance index based on the environmental cleanliness coefficient, the airflow stability coefficient, and the basic disturbance value.
[0042] In detail, the basic disturbance value and airflow stability coefficient alone cannot reflect the tolerance of the current cleanliness state to disturbances. The real-time suspended particle concentration directly reflects the environmental cleanliness. It is necessary to combine the particle concentration threshold to determine the environmental cleanliness coefficient, and then incorporate the basic disturbance value and airflow stability coefficient to more accurately determine the personnel disturbance index.
[0043] In implementation, the environmental cleanliness coefficient = current real-time suspended particle concentration / particle concentration threshold. The personnel disturbance index = baseline disturbance value × environmental sensitivity coefficient, where the environmental sensitivity coefficient = 1 / (airflow stability coefficient × environmental cleanliness coefficient).
[0044] Based on the above embodiments, this invention quantifies the environment's tolerance to disturbances by obtaining an environmental cleanliness coefficient based on real-time suspended particle concentration and particle concentration threshold, avoiding the neglect of cleanliness baseline differences; then, it calculates an environmental sensitivity coefficient based on airflow stability coefficient and environmental cleanliness coefficient, integrating airflow stability and cleanliness tolerance to reflect the impact of environmental conditions on disturbances; finally, it combines the basic disturbance value and environmental sensitivity coefficient to obtain a personnel disturbance index, realizing a comprehensive assessment of personnel activities, environmental cleanliness, and airflow conditions, providing a scientific basis for dynamic buffer time adjustment and door lock unlocking timing judgment, and ensuring the stable operation of a high-cleanliness environment.
[0045] like Figure 3As shown, it is a flowchart of the visual recognition module determining the activity area weight in an embodiment of the present invention; specifically, the visual recognition module pre-divides the plan of the buffer room into a grid, determines the risk weight of each activity grid according to the fluid dynamics model of the buffer room, determines the activity area of a single person according to the dynamic image of the personnel, and determines the activity area weight according to the activity area covering the range of the activity grid and the corresponding risk weight.
[0046] In detail, due to the uneven airflow distribution within the buffer zone, the airflow near the air supply vents is stable with low disturbance risk, while the airflow near corners or return air vents is prone to stagnation and has a high disturbance risk. The degree of suspended particle diffusion and airflow balance disruption varies significantly across different areas after being affected by personnel activity. Therefore, the size of the active area alone cannot accurately reflect the true risk. Thus, the buffer zone is first gridded, and a fluid dynamics model is used to assign a risk weight to each grid that matches its airflow characteristics. Then, the activity area weight is calculated based on the grid range covered by personnel activity and its corresponding risk weight. This avoids situations where personnel are active in a small area within a high-risk zone, resulting in significant actual disturbance, but are misjudged as low-risk, or active in a large area within a low-risk zone, resulting in minimal actual disturbance, but are misjudged as high-risk.
[0047] In implementation, the visual recognition module divides the buffer zone's floor plan into a 1m × 0.5m grid. Pre-simulation using a fluid dynamics model determines that the airflow in the grid below the air inlet is easily disturbed, corresponding to a risk weight of 1; the corner grids have stable airflow, corresponding to a risk weight of 0.6; and the remaining grids have a risk weight of 0.3. Based on personnel dynamic images, the activity area of an individual is determined. The activity area's coverage area is then determined based on the activity area, and the activity area weight is determined by combining this with the corresponding risk weight. Activity area weight = grid risk coefficient / number of activity grids corresponding to an individual's activity area. The grid risk coefficient is the sum of the products of the activity area coverage grid type and the corresponding risk weight of the grid.
[0048] Please see Figure 4 The diagram shown illustrates the workflow of the execution module in this embodiment of the invention for determining the unlocking timing. It should be understood that determining the unlocking timing can begin by assessing either the real-time differential pressure data or the real-time suspended particle concentration. Figure 4 The demonstration shows the process of first determining the real-time differential pressure data and then determining the real-time suspended particle concentration. Specifically, after the dynamic buffer time ends, the execution module determines the unlocking timing based on the real-time differential pressure data and the real-time suspended particle concentration, including: In response to the real-time differential pressure data being within a preset differential pressure range and the real-time suspended particle concentration being less than or equal to a particle concentration threshold, unlocking is triggered; In response to the real-time differential pressure data not being within the preset differential pressure range, or the real-time suspended particle concentration being greater than the particle concentration threshold, the dynamic buffer time is extended.
[0049] In detail, after the dynamic buffer time ends, the environmental parameters may not have recovered to the standard. If the clean area is unlocked directly, it will be damaged. It is necessary to first determine whether the pressure difference is within the preset pressure difference range and whether the real-time suspended particle concentration is lower than the particle concentration threshold. Unlocking is only allowed if both conditions are met. If the conditions are not met, the buffer time is extended until the conditions are met to ensure that the environment meets the requirements when unlocking.
[0050] In practice, based on experience, the preset differential pressure range is determined to be 10 Pa to 25 Pa. The particle concentration threshold depends on the cleanliness level of the buffer room, and the specific value is determined based on the ISO 14644-1 international standard and Chinese GMP specifications.
[0051] Based on the above embodiments, the present invention determines the unlocking timing by using two parameters: suspended particle concentration and pressure difference. When the two parameters do not meet the standards, a dynamic buffer time extension mechanism is adopted to avoid the risk of unlocking when environmental parameters do not meet the standards, ensuring that the clean area is not contaminated. At the same time, it avoids indefinitely extending the buffer time, finding a balance between safety and efficiency, and meeting the strict control requirements of high-cleanliness environments.
[0052] Specifically, the execution module determines the pressure difference value based on the real-time pressure difference data and the preset pressure difference range, determines the particle concentration difference value based on the real-time suspended particle concentration and the particle concentration threshold, and determines the extension duration based on the pressure difference value, the particle concentration difference value, and the dynamic buffer time. The pressure difference and the particle concentration difference are both proportional to the duration of the extension.
[0053] In detail, the pressure difference between real-time differential pressure data and the preset differential pressure range directly reflects the degree of deviation from the environmental airflow balance. The larger the difference, the more unstable the airflow, requiring a longer time to restore balance. The difference between real-time suspended particle concentration and the particle concentration threshold directly reflects the degree of exceedance of cleanliness standards. The larger the difference, the more environmental pollutants are present, requiring a longer purification time. The dynamic buffer time is a basic waiting time determined based on personnel disturbance. The extended time needs to be determined by combining the pressure difference and particle concentration difference, which are positively correlated with the difficulty of environmental restoration, to avoid the problem of only determining the duration based on personnel disturbance and ignoring the actual environmental restoration needs, ensuring that the extended time matches the difficulty of environmental remediation.
[0054] In implementation, the pressure difference = real-time pressure difference data - median or average value of preset pressure difference interval, the particle concentration difference = the difference between the average real-time suspended particle concentration at each preset state monitoring point and the particle concentration threshold, and the extension duration = dynamic buffer time × (1 + pressure difference / median or average value of preset pressure difference interval + particle concentration difference / particle concentration threshold).
[0055] Specifically, the execution module includes the particle concentration difference in the calculation of the extended duration when the real-time suspended particle concentration is greater than the particle concentration threshold, and does not include the particle concentration difference in the calculation of the extended duration when the real-time suspended particle concentration is less than or equal to the particle concentration threshold.
[0056] In practice, in response to the real-time suspended particle concentration being less than or equal to the particle concentration threshold, the particle concentration difference is determined not to be included in the calculation of the extended duration. The extended duration = dynamic buffer time × (1 + pressure difference / median or average value of preset pressure difference range).
[0057] Based on the above embodiments, the present invention enables on-demand adjustment of the extended duration, improving the scientific nature and flexibility of high-cleanliness environment control. The extended duration is no longer a fixed value, but dynamically changes with the real-time state of the environment, ensuring the stability of the high-cleanliness environment and avoiding the waste of efficiency caused by excessively extended waiting time, thus achieving a precise balance between cleanliness and safety and passage efficiency.
[0058] Specifically, it also includes a fail-safe module, which is connected to the monitoring module and the execution module respectively, and is used to trigger a conservative mode based on a continuous fault signal from any sensor in the monitoring module. In the conservative mode, the execution module determines the final unlocking time based on a preset maximum buffer time.
[0059] In detail, when a sensor in the monitoring module malfunctions or transmits invalid data, the system cannot accurately obtain environmental parameters. Continuing automatic control may lead to misjudgment. Therefore, after the fail-safe module detects this situation, it determines to enter the conservative control mode and the execution module unlocks the system by confirming the command with the administrator according to the maximum safety buffer time, thus ensuring safety.
[0060] During implementation, if any sensor within the monitoring module experiences a continuous failure for 5 to 10 seconds, preferably 8 seconds, the fail-safe module determines that the system has entered a conservative control mode, and the execution module initiates the maximum safety buffer time. The maximum safety buffer time is 1.1 to 1.3 times the dynamic buffer time, preferably 1.2 times the dynamic buffer time.
[0061] Based on the above embodiments, the present invention provides a safety fallback mechanism in the event of sensor failure, avoiding the risk of unlocking due to invalid data, and meeting the risk prevention and control requirements of high-cleanliness environments.
[0062] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.
[0063] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.
Claims
1. A high-cleanliness environment online monitoring door lock control system, characterized in that, include: The monitoring module includes a suspended particle counter, a differential pressure sensor, and a thermal anemometer. The suspended particle counter is used to detect the real-time suspended particle concentration at a preset state monitoring point inside the buffer room. The differential pressure sensor is used to detect the real-time pressure difference data at a preset pressure monitoring point inside and outside the buffer room. The thermal anemometer is used to detect the real-time airflow velocity at the preset state monitoring point. The visual recognition module is used to acquire dynamic images of people in the buffer room in real time to extract key parameters of the people, including the number of people, the activity area and the movement speed. An impact assessment module, which is connected to the monitoring module and the visual recognition module respectively, is used to determine the airflow stability coefficient based on the real-time airflow velocity and the real-time pressure difference data, determine the activity intensity index of each person entering the buffer room based on the key personnel parameters, and determine the personnel disturbance index based on the airflow stability coefficient, the activity intensity index, the real-time suspended particle concentration, and the key personnel parameters. An execution module, connected to the impact assessment module, is used to determine a dynamic buffer time based on the personnel disturbance index and a fixed buffer time, and to determine the unlocking timing based on the dynamic buffer time, real-time differential pressure data, and the real-time suspended particle concentration.
2. The high-cleanliness environment online monitoring door lock control system according to claim 1, characterized in that, After personnel enter the buffer room, the impact assessment module determines the wind speed stability and pressure difference stability based on the real-time airflow velocity and real-time pressure difference data within a preset time period, and calculates the airflow stability coefficient based on the wind speed stability and the pressure difference stability.
3. The high-cleanliness environment online monitoring door lock control system according to claim 1, characterized in that, After personnel enter the buffer room, the impact assessment module determines the proportion of the activity area and the average movement speed of a single person within a preset number of frames, and determines the activity intensity index based on the proportion of the activity area and the average movement speed.
4. The high-cleanliness environment online monitoring door lock control system according to claim 3, characterized in that, The impact assessment module determines the activity area weight based on the activity area of an individual, determines the basic disturbance value based on the activity intensity index, the activity area weight, and the number of people, and determines the personnel disturbance index based on the airflow stability coefficient, the real-time suspended particle concentration, and the basic disturbance value.
5. The high-cleanliness environment online monitoring door lock control system according to claim 4, characterized in that, The impact assessment module determines the environmental cleanliness coefficient based on the real-time suspended particle concentration and the particle concentration threshold, and determines the personnel disturbance index based on the environmental cleanliness coefficient, the airflow stability coefficient, and the basic disturbance value.
6. The high-cleanliness environment online monitoring door lock control system according to claim 1, characterized in that, The visual recognition module pre-divides the plan of the buffer room into a grid, determines the risk weight of each activity grid based on the fluid dynamics model of the buffer room, determines the activity area of a single person based on the dynamic images of the personnel, and determines the activity area weight based on the range of the activity grid covered by the activity area and the corresponding risk weight.
7. The high-cleanliness environment online monitoring door lock control system according to claim 1, characterized in that, After the dynamic buffer time ends, the execution module determines the unlocking timing based on the real-time differential pressure data and the real-time suspended particle concentration, including: In response to the real-time differential pressure data being within a preset differential pressure range and the real-time suspended particle concentration being less than or equal to a particle concentration threshold, unlocking is triggered; In response to the real-time differential pressure data not being within the preset differential pressure range, or the real-time suspended particle concentration being greater than the particle concentration threshold, the dynamic buffer time is extended.
8. The high-cleanliness environment online monitoring door lock control system according to claim 7, characterized in that, The execution module determines the pressure difference value based on the real-time pressure difference data and the preset pressure difference range, determines the particle concentration difference value based on the real-time suspended particle concentration and the particle concentration threshold, and determines the extension duration based on the pressure difference value, the particle concentration difference value, and the dynamic buffer time. The pressure difference and the particle concentration difference are both proportional to the duration of the extension.
9. The high-cleanliness environment online monitoring door lock control system according to claim 8, characterized in that, The execution module includes the particle concentration difference in the calculation of the extended duration when the real-time suspended particle concentration is greater than the particle concentration threshold, and does not include the particle concentration difference in the calculation of the extended duration when the real-time suspended particle concentration is less than or equal to the particle concentration threshold.
10. The high-cleanliness environment online monitoring door lock control system according to claim 1, characterized in that, It also includes a fail-safe module, which is connected to the monitoring module and the execution module respectively, and is used to trigger a conservative mode based on a continuous fault signal from any sensor in the monitoring module. In the conservative mode, the execution module determines the final unlocking time based on a preset maximum buffer time.