Air purification system for medical laboratory
By designing a real-time monitoring and intelligent regulation air purification system in medical laboratories, the problems of incomplete air quality monitoring and slow response are solved, and the continuous excellent air quality and purification effect are achieved, and cross-infection and health risks are reduced.
Patent Information
- Application Number
- CN202411283552.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-13
- Publication Date
- 2024-12-13
AI Technical Summary
Air quality monitoring in medical laboratories is not comprehensive and real-time enough. Traditional air purification systems respond slowly when dealing with complex air environments, have limited purification effects, and are difficult to effectively remove microorganisms and harmful gases, increasing the risk of cross-infection and health threats.
An air purification system including data collection, data processing, air supply, return air, filter components and control modules was designed to monitor air quality in real time, and the operating status of the purification module is automatically adjusted according to preset standards through intelligent adjustment modules, for different For abnormal situations, take corresponding measures to improve the air flow path and energy utilization efficiency, and automatically adjust the pore size of the filter component to remove specific pollutants.
It realizes continuous monitoring and precise control of air quality, improves the adaptability and efficiency of the air purification system, reduces pollutant accumulation time, improves health and experimental accuracy in the laboratory, and reduces maintenance costs and energy consumption.
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Figure CN119123564A_ABST
Abstract
Description
Technical Field
[0001] The invention belongs to the technical field of air purification, in particular to an air purification system for a medical laboratory. Background Art
[0002] In a medical laboratory environment, air quality is crucial to ensuring the accuracy of experimental results, the health of researchers, and the welfare of experimental animals. As the core place for scientific research and disease diagnosis, the air inside medical laboratories may contain a variety of microorganisms, harmful gases, particulate matter and other pollutants. These pollutants not only affect the reliability of experimental results, but may also cause cross-infection through airborne transmission, posing a serious threat to the health of experimenters, patients and experimental animals.
[0003] First, medical laboratories are home to a variety of pathogens. Various pathogens involved in the experiment, such as bacteria, viruses, fungi and other microorganisms, may come from experimental samples, experimental waste and experimental personnel. The risk of these pathogens spreading in the air is extremely high, especially when handling high-risk samples (such as infectious pathogens). If the air purification system is not effective enough, it will greatly increase the risk of cross-infection in the laboratory.
[0004] Secondly, chemical reagents, disinfectants, and medicines used in medical laboratories may evaporate into the air during operation, forming harmful aerosols. These aerosols are not only harmful to the human respiratory system, which may cause respiratory diseases, allergic reactions and other health problems, but may also corrode experimental equipment and instruments, affecting the accuracy of experimental results.
[0005] Furthermore, particulate matter in the laboratory is also an important factor affecting air quality. Particulate matter may come from multiple aspects such as human activities, equipment operation and building materials. These particles may not only carry microorganisms and increase the risk of infection, but may also directly harm human health, such as irritating the respiratory tract and causing allergic reactions. Especially in high-density crowd areas, such as laboratory tables and operating rooms, the presence of particulate matter will significantly increase the risk of cross-infection.
[0006] In addition, although there are many air purification systems and equipment on the market, they often have problems such as incomplete monitoring, slow response, and limited purification effect when dealing with the complex and changeable air environment of medical laboratories. For example, some systems may only focus on particulate matter filtration, while ignoring the treatment of microorganisms and harmful gases; or although they have multiple purification functions, they lack intelligent monitoring and adjustment mechanisms and cannot be flexibly adjusted according to the actual situation of the laboratory. Therefore, the present invention proposes an air purification system for medical laboratories to solve the above problems. Summary of the invention
[0007] The present invention proposes an air purification system for a medical laboratory, which aims to ensure the continuous excellence of the air quality inside the medical laboratory by real-time monitoring of air quality, accurate data analysis and intelligent adjustment of the air purification module, thereby ensuring the accuracy of experimental results and the health of scientific researchers.
[0008] In order to achieve the above object, the technical solution of the present invention is as follows: an air purification system for a medical laboratory, comprising: Several data acquisition modules for real-time monitoring of air quality in medical laboratories; A data processing module is used to analyze and process the data monitored in real time by the data acquisition module; The air purification module consists of an air supply component, a return air component and a filter component. The air supply component is used to send external or preliminarily treated air into the laboratory, the return air component is used to collect the air in the laboratory and send it back to the air purification system for further treatment, and the filter component is used to remove various pollutants in the air; The control module is responsible for receiving the analysis results of the data processing module and automatically adjusting the operating state of the air purification module according to the preset air quality standards or parameters. When the data processing module analyzes that the data collected by the data acquisition module is abnormal, the control module adjusts the corresponding operating state of the air purification module according to the abnormal situation of different data. The control logic of the control module is: When the abnormal situation is that the overall data is abnormal, the control module adjusts the air supply volume of the air supply component; When the abnormal situation is a local data abnormality, the control module adjusts the air supply direction and air supply speed of the air supply component; When the abnormal situation is that the positive pressure in the medical laboratory is insufficient, the control module adjusts the return air volume of the return air component; When the abnormal situation is that the concentration of specific pollutants in the air exceeds the standard, the control module adjusts the pore size of the filter component.
[0009] The following beneficial effects are achieved by adopting the above scheme: 1. Improve the accuracy and real-time performance of air quality monitoring: Traditional medical laboratory air purification systems may rely on periodic or rough air quality monitoring, while the system of the present invention monitors air quality in real time through several data acquisition modules, combined with efficient analysis of the data processing module, and the system can respond quickly to changes in air quality. This instant feedback mechanism enables the control module to more accurately adjust the working state of the air purification module, thereby ensuring that the air quality inside the laboratory continues to meet the standards.
[0010] 2. Intelligent adjustment and response speed: By integrating the data processing module and the control module, the system of the present invention can flexibly respond to different types of abnormal situations. Whether it is overall data abnormality, local data abnormality, insufficient indoor positive pressure or excessive concentration of specific pollutants, the system can take targeted measures to make adjustments, thereby improving the adaptability and efficiency of the air purification system. This intelligent adjustment method is more flexible and efficient than traditional manual adjustment or fixed mode operation, and can quickly respond to changes in air quality and effectively reduce the accumulation time of pollutants.
[0011] 3. Accurately control the supply and return air: The system of the present invention adopts different control strategies for different types of abnormal situations. When the overall data is abnormal, the supply air volume is adjusted, and when the local data is abnormal, the supply air direction and speed are adjusted. This refined control not only optimizes the air flow path, but also improves energy efficiency and reduces unnecessary energy consumption. At the same time, adjusting the return air volume in response to insufficient positive pressure in the room helps maintain the positive pressure environment inside the laboratory and prevents the intrusion of external pollutants. This on-demand adjustment method helps to reduce the operating costs of the laboratory and achieve energy conservation and emission reduction.
[0012] 4. Efficient removal of specific pollutants: When the concentration of specific pollutants in the air is detected to exceed the standard, the system of the present invention can automatically adjust the pore size of the filter component to more effectively intercept and remove these pollutants. Compared with traditional fixed-pore filters, this targeted filtration strategy can better adapt to the changing laboratory environment and ensure that the air quality always meets the standard.
[0013] 5. Improve laboratory work efficiency and safety: By maintaining the continuous excellence of laboratory air quality, the system of the present invention helps to improve the work efficiency and comfort of laboratory personnel and reduce health problems caused by poor air quality. At the same time, good air quality is also one of the important factors to ensure the accuracy of experiments and the reliability of results, thereby improving the scientific research level and safety of the entire laboratory.
[0014] 6. Reduce maintenance costs and operating expenses: The present invention reduces the need for manual intervention and the risk of human error through intelligent and automated operation management. At the same time, through precise control and optimization of operation strategies, the system of the present invention also has significant advantages in reducing energy consumption and extending the service life of equipment, thereby helping to reduce the maintenance costs and long-term operating expenses of the laboratory.
[0015] Furthermore, the air supply assembly is installed on the top of the medical laboratory, the return air assembly is installed on the bottom of the medical laboratory, the filter assembly is installed between the air supply assembly and the medical laboratory and on the return flow path of the return air assembly, the filter assembly is composed of multiple layers of filters with different functions, and a self-cleaning structure is installed in the filter assembly.
[0016] Beneficial effects: The air supply component is located at the top, which can more effectively distribute fresh air evenly to every corner of the laboratory, reducing the formation of dead corners and vortices. The return air component is located at the bottom, which can quickly collect and discharge the dirty air at the bottom, forming a reasonable airflow organization of upward delivery and downward return, which is conducive to the rapid improvement of air quality. The filter component composed of multiple layers of filters with different functions can perform graded filtration for different pollutants in the air to improve the filtration accuracy and efficiency. This combined filtration method can not only effectively remove tiny particles such as dust, bacteria, and viruses in the air, but also effectively absorb harmful gases and odors to ensure the cleanliness of laboratory air. The self-cleaning structure installed in the filter component can automatically clean the filter regularly, reducing the frequency and difficulty of manual maintenance. The self-cleaning function can effectively prevent filter blockage and bacterial growth, maintain the permeability and filtration efficiency of the filter, extend the service life of the filter, and reduce maintenance costs.
[0017] Furthermore, the filter assembly includes a first filter for intercepting large particles, a second filter for removing suspended particles, a HEPA filter for removing microorganisms, an activated carbon layer for removing odors, and a photocatalyst layer for decomposing harmful substances in the air.
[0018] Beneficial effects: Through the multi-level filtration design, the system can gradually remove various pollutants in the air. The first filter first intercepts large particles, reducing the burden on subsequent filter layers; the second filter further removes suspended particles to improve air cleanliness; the HEPA filter can effectively remove microorganisms, including tiny particles such as bacteria and viruses; the activated carbon layer is used to absorb odors and harmful gases in the air; finally, the photocatalyst layer can decompose harmful substances in the air, such as volatile organic compounds such as formaldehyde and benzene, to achieve more comprehensive air purification. The multi-level filtration design enables the system to maintain a stable purification effect in the face of different pollution conditions. This stability helps to ensure that the air quality in the laboratory continues to meet standards and provide a reliable environmental guarantee for scientific research.
[0019] Furthermore, the self-cleaning structure includes a support rod, both ends of the support rod are fixedly connected to a mounting ring, the support rod passes through the first filter screen and the second filter screen, one side of the mounting ring is fixedly connected to a mounting plate, the mounting plate is rotatably matched with a rotating shaft, one end of the rotating shaft is fixedly connected to a fan blade, the other end of the rotating shaft is fixedly connected to a cross rod, the other end of the cross rod is hinged to a connecting rod, the connecting rod is hinged to a fixed frame at one end away from the cross rod, the fixed frame is fixedly connected to the first filter screen, the first filter screen is fixedly connected to a vertical rod on a side away from the fixed frame, the vertical rod passes through the second filter screen, a first spring and a second spring are respectively mounted on the support rod and the vertical rod, one end of the first spring is fixedly connected to the first filter screen, the other end of the first spring is fixedly connected to the second filter screen, one end of the second spring is fixedly connected to the second filter screen, and the other end of the second spring is fixedly connected to the vertical rod.
[0020] Beneficial effects: The rotation of the fan blades drives a series of mechanical structures such as the rotating shaft, crossbar, and connecting rod to move, causing the first filter and the second filter to vibrate slightly. This vibration helps to shake off the particles attached to the filter, especially those tiny particles that are difficult to remove by natural wind pressure or gravity, thereby realizing automatic cleaning of the filter. This greatly reduces the frequency of manual cleaning and improves work efficiency. The automatic cleaning function can prevent the filter from being blocked due to long-term accumulation of particles, maintaining the permeability and filtration efficiency of the filter. This helps to extend the service life of the filter and reduce the number and cost of replacing the filter. The design of the automatic cleaning structure reduces the need for manual maintenance and reduces maintenance costs. At the same time, since the number of filter replacements is reduced, the cost of consumables is also reduced.
[0021] Furthermore, the data acquisition module includes but is not limited to: temperature and humidity sensors, PM2.5 sensors, harmful gas sensors and microbial detection sensors.
[0022] Beneficial effects: The combined use of multiple sensors enables the system to comprehensively monitor the air quality in the laboratory. The temperature and humidity sensor can measure and record the temperature and humidity data in the room in real time, while the PM2.5 sensor focuses on monitoring the concentration of tiny particles in the air, which helps to evaluate the cleanliness of the air. The harmful gas sensor can detect whether there are harmful gases such as formaldehyde and benzene in the room to ensure the health and safety of the experimenters. The microbial detection sensor further improves the monitoring accuracy of the system and can promptly detect and report microbial contamination in the air. Through comprehensive and accurate monitoring, the system can more accurately judge the working status and efficiency of the air purification module. This helps the system optimize resource allocation, reduce unnecessary energy consumption, and improve overall operating efficiency.
[0023] Furthermore, a locking assembly is installed on the rotating shaft, and the locking assembly includes an electromagnetic lock and a lock tongue, and the electromagnetic lock and the lock tongue are installed on the rotating shaft and the mounting plate respectively; When the system is in a non-cleaning state, the electromagnetic lock is in a locked state; when the system needs to perform a self-cleaning operation, the control module sends an unlocking signal to the electromagnetic lock, allowing the fan blades to rotate freely under the drive of the airflow, thereby driving the self-cleaning structure.
[0024] Beneficial effects: Through the coordinated use of the electromagnetic lock and the lock tongue, the system can accurately control the start and stop of the self-cleaning structure. When the system is in a non-cleaning state, the electromagnetic lock remains locked to ensure that the self-cleaning structure will not be accidentally started, thereby avoiding interference with the experimental environment. When the system needs to perform a self-cleaning operation, the control module can quickly send an unlocking signal to the electromagnetic lock to release the lock tongue, allowing the fan blades to rotate freely under the drive of the airflow to achieve the self-cleaning function. The introduction of the locking assembly improves the overall safety of the system. In the non-cleaning state, even if encountering unexpected situations (such as sudden changes in airflow, mechanical vibration, etc.), the self-cleaning structure will not be accidentally triggered, thereby avoiding possible mechanical failures or safety hazards. This design ensures the stability and reliability of the system during operation.
[0025] Furthermore, it also includes a fault self-detection module and an alarm module. When any component in the system fails or is abnormal, the control module can immediately identify and trigger the alarm mechanism in the alarm module.
[0026] Beneficial effects: The fault self-check module can monitor the working status of each component in the system in real time, including sensors, filter components, self-cleaning structures, and control modules. Once any component is found to be faulty or abnormal, such as abnormal sensor readings, decreased filtration efficiency, and failure of the self-cleaning structure to start, the control module can immediately identify and respond. Once a fault or abnormality is detected, the control module will trigger the alarm mechanism in the alarm module. The alarm mechanism can quickly attract the attention of the experimenters and ensure that they can be informed of the system failure in a timely manner. The automatic alarm mechanism can reduce downtime and maintenance costs caused by the failure to detect the fault in time. The experimenters can quickly locate the fault point based on the alarm information and take corresponding maintenance measures, thereby shortening the maintenance cycle and reducing maintenance costs.
[0027] Furthermore, the alarm module includes an indicator light, a buzzer and a communication component, and the alarm mechanism in the alarm module is an audible and visual alarm or a remote communication method.
[0028] Beneficial effects: The sound and light alarm (indicator light and buzzer) can immediately send out strong visual and auditory signals when the system fails or is abnormal, quickly attracting the attention of the experimenter. By providing visual (indicator light) and auditory (buzzer) alarm signals at the same time, the alarm module can stimulate the multiple senses of the experimenter and increase their sensitivity to the alarm information. The addition of communication components enables the alarm module to support the alarm mechanism of remote communication. This means that when the system fails, the alarm information can not only be issued on site through sound and light, but also sent to the management personnel or maintenance team through remote communication channels (such as SMS, email, APP push, etc.). The dual alarm mechanism of the alarm module (sound and light alarm and remote communication) ensures that even if one alarm method fails, the other method can still work.
[0029] Furthermore, it also includes an intelligent scheduling module, which can automatically adjust the operation strategy of the air purification module in each area according to the usage requirements of different areas or different time periods of the medical laboratory.
[0030] Beneficial effects: The intelligent scheduling module can automatically adjust the operation strategy of the air purification module according to the actual usage of different areas in the medical laboratory, such as personnel density, intensity of experimental activities, etc. In areas with sparse personnel or less experimental activities, the operating power or frequency of the air purification module can be reduced to reduce energy consumption. In areas with dense personnel or frequent experimental activities, the operating intensity of the air purification module is increased to ensure that the air quality meets the standards. This precise control not only helps to save energy and reduce emissions, but also extends the service life of the equipment. Traditional air purification systems often require manual intervention to adjust the operation strategy, which is not only time-consuming and labor-intensive, but also difficult to respond in time. The intelligent scheduling module can automatically analyze the laboratory's usage and air quality data, and make corresponding adjustments immediately. This rapid response capability can significantly improve the operating efficiency of the system while enhancing the user experience.
[0031] Furthermore, it also includes a prediction module, which uses a machine learning algorithm to identify the changing patterns and trends of air quality under different experimental scenarios, predict the changing trends of air quality, and adjust the operating parameters of the air purification module in advance according to the predicted changing trends.
[0032] Beneficial effects: The prediction module can predict the future trend of air quality changes based on historical data and current experimental scenarios. This enables the system to perceive the risk of air quality deterioration in advance and adjust the operating parameters of the air purification module accordingly. This early intervention strategy helps to keep the air quality within the ideal range at all times, providing more stable and reliable environmental conditions for the experiment. When it is predicted that the air quality will remain in a good state, the system can appropriately reduce the power or frequency of the air purification module to reduce energy consumption. This intelligent scheduling method helps to achieve the goal of energy conservation and emission reduction and improve the overall energy efficiency of the system.
[0033] Furthermore, it also includes a remote monitoring and operation module, through which the user can remotely access and control various parameters of the system.
[0034] Beneficial effects: Users can remotely access the system through mobile terminals anytime and anywhere, and view the real-time data of air quality in each area, the operating status of the air purification module, fault alarm information, etc. This real-time monitoring capability enables users to understand the overall operating status of the system in a timely manner, providing strong support for rapid response and decision-making. Users can not only view system information, but also remotely adjust various operating parameters of the air purification module, such as wind speed, filtration efficiency, operating time, etc. through the remote monitoring and operation module. This remote operation capability enables users to flexibly adjust the system's operating strategy according to actual needs and changes in experimental scenarios to achieve the best air purification effect.
[0035] Furthermore, it also includes an energy consumption management module, which can monitor and record the energy consumption of the air purification system in real time. When the energy consumption is abnormal or exceeds a preset threshold, the energy consumption management module will issue a warning through the alarm module.
[0036] Beneficial effects: The energy consumption management module can monitor the energy consumption of the air purification system in real time, including the energy consumption distribution of each component, changes in energy consumption in different time periods, etc. Through accurate data analysis, users can clearly understand the energy consumption of the system and provide strong support for the formulation of energy-saving strategies. When the energy consumption is abnormal or exceeds the preset threshold, the energy consumption management module can quickly issue an early warning through the alarm module to remind users to pay attention and take corresponding measures. This early warning mechanism helps users to discover and solve energy consumption problems in a timely manner, avoiding energy waste and potential safety hazards. BRIEF DESCRIPTION OF THE DRAWINGS
[0037] Figure 1 The present invention is a framework diagram of an air purification system for a medical laboratory according to an embodiment of the present invention.
[0038] Figure 2 The figure is a flow chart of an embodiment of the present invention for an air purification system for a medical laboratory.
[0039] Figure 3 It is an axonometric view of a self-cleaning structure used in an air purification system for a medical laboratory according to an embodiment of the present invention.
[0040] The figure marks in the drawings of the specification include: mounting ring 1, support rod 2, first filter screen 3, fixing frame 301, vertical rod 302, second filter screen 4, mounting plate 5, rotating shaft 6, cross rod 601, connecting rod 602, fan blade 7, first spring 8, second spring 9. DETAILED DESCRIPTION
[0041] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be understood as limiting the present invention.
[0042] In the description of the present invention, it is to be understood that the terms “longitudinal”, “lateral”, “vertical”, “up”, “down”, “front”, “back”, “left”, “right”, “vertical”, “horizontal”, “top”, “bottom”, “inside” and “outside” etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present invention.
[0043] In the description of the present invention, unless otherwise specified and limited, it should be noted that the terms "installed", "connected" and "connected" should be understood in a broad sense. For example, it can be a mechanical connection or an electrical connection, or it can be the internal connection between two components. It can be a direct connection or an indirect connection through an intermediate medium. For ordinary technicians in this field, the specific meanings of the above terms can be understood according to the specific circumstances.
[0044] The following is further described in detail through specific implementation methods: Embodiment 1, basically as attached Figure 1 and Figure 2 Shown: An air purification system for a medical laboratory, comprising: Several data acquisition modules are used to monitor the air quality of medical laboratories in real time; the data acquisition modules include but are not limited to: temperature and humidity sensors, PM2.5 sensors, harmful gas sensors and microbial detection sensors. The data processing module is used to analyze and process the data monitored in real time by the data acquisition module; the air purification module consists of an air supply component, a return air component and a filter component, the air supply component is used to send external or preliminarily treated air into the laboratory, the return air component is used to collect the air in the laboratory and send it back to the air purification system for further processing, and the filter component is used to remove various pollutants in the air; the control module is responsible for receiving the analysis results of the data processing module and automatically adjusting the operating status of the air purification module according to the preset air quality standards or parameters.
[0045] The air supply assembly is installed on the top of the medical laboratory, the return air assembly is installed on the bottom of the medical laboratory, the filter assembly is installed between the air supply assembly and the medical laboratory and on the return flow path of the return air assembly, and the filter assembly is composed of multiple layers of filters with different functions. The filter assembly includes a first filter 3 for intercepting large particles, a second filter 4 for removing suspended particles, a HEPA filter for removing microorganisms, an activated carbon layer for removing odors, and a photocatalyst layer for decomposing harmful substances in the air.
[0046] When the data processing module analyzes that the data collected by the data acquisition module is abnormal, the control module adjusts the corresponding operating state of the air purification module according to the abnormal situation of different data. The control logic of the control module is: When the abnormal situation is an overall data abnormality, the control module adjusts the air supply volume of the air supply component; when the abnormal situation is a local data abnormality, the control module adjusts the air supply direction and air supply speed of the air supply component; when the abnormal situation is insufficient positive pressure in the medical laboratory, the control module adjusts the return air volume of the return air component; when the abnormal situation is excessive concentration of specific pollutants in the air, the control module adjusts the pore size of the filter component.
[0047] The specific implementation process is as follows: According to the layout of the laboratory and the characteristics of air flow, a number of temperature and humidity sensors, PM2.5 sensors, harmful gas sensors and microbial detection sensors are reasonably arranged. Ensure that all sensors can fully cover the laboratory area, including possible dead corners and short airflow areas. Ensure that the data communication between the sensor and the data processing module is stable and reliable. Carry out preliminary debugging to verify the accuracy and real-time performance of data collection.
[0048] Install the air supply assembly on the top of the laboratory to ensure that the air supply evenly covers the entire laboratory and avoids blowing directly to the experimenter or sensitive equipment. Install the return air assembly at the bottom of the laboratory or at a low position on the side wall to effectively collect the air in the laboratory and reduce airflow dead corners. Install the filter assembly on the air supply path and the return air path respectively, and arrange the filter assemblies from low to high according to the filtration efficiency, in order: the first filter 3 (intercepting large particles), the second filter 4 (removing suspended particles), the HEPA filter (removing microorganisms), the activated carbon layer (removing odors) and the photocatalyst layer (decomposing harmful substances).
[0049] Start the system and perform initial settings, including setting air quality standards or parameters, defining abnormal processing logic, etc. The data acquisition module starts to monitor the air quality in the laboratory in real time and transmits the data to the data processing module. The data processing module processes and analyzes the collected data, determines whether there are abnormal conditions, and handles the abnormal conditions: Overall data abnormality: If the temperature, humidity or pollutant concentration generally exceeds the standard, the control module increases the air supply of the air supply component to speed up air circulation and improve purification efficiency.
[0050] Local data abnormality: If there is a dead corner or short airflow in a certain area, the control module adjusts the air supply direction and speed of the air supply component to ensure that the area has sufficient air supply and effective purification.
[0051] Insufficient indoor positive pressure: If insufficient positive pressure is detected in the laboratory, it may affect the air isolation effect. The control module reduces the return air volume of the return air component and increases the indoor positive pressure.
[0052] Exceeding the standard concentration of a specific pollutant: If it is detected that the concentration of a specific pollutant exceeds the standard, the control module may enhance the purification effect by adjusting certain parameters of the filter component (such as the pore size of the filter) or activating a backup filter.
[0053] Regularly inspect and maintain the system, including cleaning the filter and calibrating the sensor. According to the actual use of the laboratory, continuously optimize the control logic and parameter settings of the system to improve the operating efficiency and purification effect of the system. Record the system operation data and conduct data analysis to provide a basis for further upgrading and improvement of the system.
[0054] Embodiment 2 is different from the above embodiment in that, as shown in the attached Figure 3As shown: a self-cleaning structure is installed in the filter assembly, and the self-cleaning structure includes a support rod 2, both ends of the support rod 2 are fixedly connected with a mounting ring 1, the mounting ring 1 is fixedly connected to the inside of the filter assembly by screws, the support rod 2 passes through the first filter screen 3 and the second filter screen 4, one side of the mounting ring 1 is fixedly connected with a mounting plate 5, the mounting plate 5 is rotatably matched with a rotating shaft 6, one end of the rotating shaft 6 is fixedly connected with a fan blade 7, the other end of the rotating shaft 6 is fixedly connected with a cross bar 601, the other end of the cross bar 601 is hinged with a connecting rod 602, and the connecting rod 602 is away from the cross bar 6 01 is hinged with a fixing frame 301 at one end, the fixing frame 301 is fixedly connected to the first filter screen 3, the first filter screen 3 is fixedly connected to a vertical rod 302 on the side away from the fixing frame 301, the vertical rod 302 passes through the second filter screen 4, the first spring 8 and the second spring 9 are respectively sleeved on the support rod 2 and the vertical rod 302, one end of the first spring 8 is fixedly connected to the first filter screen 3, the other end of the first spring 8 is fixedly connected to the second filter screen 4, one end of the second spring 9 is fixedly connected to the second filter screen 4, and the other end of the second spring 9 is fixedly connected to the vertical rod 302.
[0055] A locking assembly is installed on the rotating shaft 6, and the locking assembly includes an electromagnetic lock and a lock tongue, which are respectively installed on the rotating shaft 6 and the mounting plate 5; when the system is in a non-cleaning state, the electromagnetic lock is in a locked state; when the system needs to perform a self-cleaning operation, the control module sends an unlocking signal to the electromagnetic lock, allowing the fan blades 7 to rotate freely under the drive of the airflow, thereby driving the self-cleaning structure.
[0056] The specific implementation process is as follows: the first filter 3 and the second filter 4 in the filter assembly are in a stationary state, intercepting large particles and suspended particles in the medical laboratory. The electromagnetic lock in the locking assembly is in a locked state, and the lock tongue is locked with the corresponding position on the rotating shaft 6 to prevent the fan blade 7 from rotating under the drive of the airflow.
[0057] When the system detects that the first filter 3 and the second filter 4 need to be cleaned (when the system monitors that the blockage degree of the filter assembly reaches a preset threshold, or according to the set regular cleaning plan, the control module will determine that a self-cleaning operation needs to be performed). The control module sends an unlocking signal to the electromagnetic lock through the signal line. After receiving the signal, the electromagnetic coil inside the electromagnetic lock is powered off, so that the lock tongue originally attracted by the electromagnetic force is released, thereby unlocking the rotating shaft 6. After unlocking, the airflow generated by the continued operation of the air supply assembly or the airflow inside the laboratory will blow the fan blades 7 to start rotating. The fan blades 7 serve as a power source, and their rotational motion is transmitted to the cross bar 601 through the rotating shaft 6.
[0058] The cross bar 601 rotates under the drive of the rotating shaft 6. Since the cross bar 601 is hingedly connected to the connecting rod 602, the rotation of the cross bar 601 is converted into the up and down reciprocating motion of the connecting rod 602. The other end of the connecting rod 602 is hinged to the fixing frame 301, and the fixing frame 301 is fixedly connected to the first filter screen 3. Therefore, the up and down reciprocating motion of the connecting rod 602 drives the first filter screen 3 to vibrate up and down. The up and down vibration of the first filter screen 3 is buffered and amplified by the elastic force of the first spring 8, so that the vibration is more uniform and powerful. At the same time, since the vertical rod 302 penetrates the second filter screen 4 and is connected to the second spring 9, the elastic force of the second spring 9 will also produce a certain vibration effect on the second filter screen 4, which is helpful for further cleaning. In this process, the particles and dust on the first filter screen 3 and the second filter screen 4 will loosen and fall off due to vibration, achieving the effect of cleaning the filter screen.
[0059] After the self-cleaning process continues for a period of time (the length of time can be set according to actual conditions), the control module will evaluate the cleaning effect of the filter assembly. This can be achieved by monitoring the changes in air quality parameters before and after filtration, the pressure difference changes of the filter, or by setting a special cleaning effect sensor. If the evaluation results show that the cleaning effect is as expected, the control module will stop the self-cleaning operation and re-lock the electromagnetic lock to ensure the stable operation of the system. If the cleaning effect is not ideal, the control module may repeat the self-cleaning operation or issue an alarm to prompt manual intervention. Through the implementation of the above steps, it can be ensured that the filter components in the medical laboratory air purification system maintain efficient filtration performance during long-term operation, while reducing the frequency and cost of manual maintenance.
[0060] Embodiment 3 is different from the above embodiments in that it also includes a fault self-checking module and an alarm module. When any component in the system fails or is abnormal, the control module can immediately identify and trigger the alarm mechanism in the alarm module. The alarm module includes an indicator light, a buzzer and a communication component. The alarm mechanism in the alarm module is an audible and visual alarm or a remote communication method.
[0061] The specific implementation process is as follows: the fault self-checking module monitors the working status of each component in the system in real time through all sensor networks in the data acquisition module, including but not limited to the motor speed, air flow pressure, temperature, humidity, and the operation of mechanical components such as electromagnetic locks and shafts 6. The collected data is transmitted to the control module in real time, and the control module processes and analyzes the data using a preset algorithm.
[0062] The control module compares the processed data with the system's built-in fault judgment logic to identify whether there is a fault or abnormality. These logics may include but are not limited to threshold judgment (such as motor speed below the minimum value), abnormal pattern recognition (such as abnormal airflow pressure fluctuations), etc. Once a fault or abnormality is identified, the control module will immediately record the fault information and prepare to trigger the alarm mechanism.
[0063] When the fault self-diagnosis module identifies a fault or anomaly, the control module sends a signal to the alarm module to activate the indicator light and buzzer. The indicator light is usually displayed in red or flashing to attract the attention of personnel. The buzzer will sound a loud alarm to ensure that it can be clearly heard in a noisy environment. The sound and light alarm is designed to immediately notify on-site personnel of a system failure so that they can take necessary emergency measures.
[0064] In addition to the sound and light alarm, the alarm module also contains a communication component for remotely transmitting fault information to maintenance personnel or monitoring centers. The communication component can establish a connection with the remote server via wired or wireless means (such as Wi-Fi, Bluetooth, and 4G / 5G, etc.) and send the fault information in the form of a data packet. After receiving the fault information, the remote server can perform further analysis and processing, and notify relevant personnel through SMS, email, or APP push. Maintenance personnel can quickly locate the problem based on the received fault information and take corresponding maintenance measures, thereby shortening the fault handling time and reducing system downtime.
[0065] Through such an implementation process, the air purification system can detect and handle faults or abnormal situations in a timely manner, ensuring the stable operation of the system and the air purification effect.
[0066] Embodiment 4 is different from the above embodiments in that it also includes an intelligent scheduling module, which can automatically adjust the operation strategy of the air purification module in each area according to the usage requirements of different areas or different time periods of the medical laboratory.
[0067] The specific implementation process is as follows: The addition of the intelligent scheduling module enables the air purification system to make flexible and efficient operational adjustments according to the specific needs of the medical laboratory, further improving the system's intelligence level and resource utilization efficiency.
[0068] The intelligent scheduling module first collects key information such as the usage, personnel density, and activity types of each area of the medical laboratory in different time periods through various methods such as data acquisition modules or historical data records. Based on the collected data, machine learning algorithms or statistical models are used to predict demand. The prediction content may include the number of people and the amount of pollutants generated in a certain area in a certain time period in the future, so as to evaluate the demand for air purification capacity in the area.
[0069] The intelligent scheduling module has built-in operation strategies for multiple air purification modules, such as high air volume rapid purification, low air volume energy-saving operation, automatic shutdown at night, etc. Each strategy is optimized for specific usage scenarios and needs. Based on the demand forecast results, the intelligent scheduling module automatically selects the most appropriate operation strategy from the strategy library. The selection process may consider multiple factors, such as purification efficiency, energy consumption cost, and noise control.
[0070] Once the operation strategy is determined, the intelligent scheduling module will send control instructions to the air purification modules in each area, including turning on / off the equipment, adjusting the air volume, and switching the operation mode. During the execution of the strategy, the intelligent scheduling module will continuously monitor the operating status and data feedback of the air purification modules in each area to ensure that the strategy is effectively implemented. If it is found that the actual operation situation deviates from the forecast, or if new demand change information is received (such as temporarily increased experimental activities), the intelligent scheduling module will immediately make dynamic adjustments, re-formulate and issue new operation strategies.
[0071] In summary, the intelligent scheduling module can ensure that the air purification system of the medical laboratory can operate in the best way in different areas and time periods to meet the laboratory's usage needs, while reducing energy costs and improving overall operational efficiency.
[0072] Embodiment 5 differs from the above embodiments in that it also includes a prediction module, which uses a machine learning algorithm to identify the changing patterns and trends of air quality under different experimental scenarios, predict the changing trends of air quality, and adjust the operating parameters of the air purification module in advance according to the predicted changing trends.
[0073] The specific implementation process is as follows: The prediction module first collects a large amount of historical data through the data acquisition module. These data include but are not limited to air quality monitoring data in various areas of the medical laboratory (such as PM2.5 concentration, TVOC concentration, temperature and humidity, etc.), experimental activity types, personnel flow, seasonal changes, etc. According to the characteristics of the data and prediction requirements, select a suitable machine learning algorithm as the prediction model. Commonly used algorithms include time series analysis (such as ARIMA, LSTM, etc.), regression analysis, decision trees, and random forests. Use historical data to train the selected model, and improve the prediction accuracy and generalization ability of the model by adjusting model parameters and optimizing algorithms.
[0074] Using the trained model, combined with the current experimental activity arrangement, environmental conditions and other factors, the trend of air quality changes in the future is predicted. Based on the prediction results, the prediction module will calculate the optimal air purification module operating parameters in advance, such as air volume, working mode, etc., to cope with the predicted air quality changes. The calculated operating parameters are sent to the intelligent scheduling module, which is responsible for specific execution and adjusting the operating status of the air purification module.
[0075] Embodiment 6 is different from the above embodiments in that it also includes a remote monitoring and operation module, through which the user can remotely access and control various parameters of the system.
[0076] The specific implementation process is as follows: The remote monitoring and operation module can collect various parameters of the air purification system in real time (such as air quality monitoring data, equipment operating status, etc.), and users can view the real-time status of the system at any time through the mobile terminal to understand the operation of the system. Users can remotely control various parameters of the air purification system through the mobile terminal, such as adjusting the air volume, switching the working mode, etc.
[0077] When the system detects an abnormal situation (such as excessive air quality, equipment failure, etc.), the remote monitoring and operation module should be able to immediately trigger the alarm mechanism and notify the user through SMS, email, APP push, etc. This helps users take timely measures to solve the problem and ensure the stable operation of the system.
[0078] Embodiment 7 is different from the above embodiments in that it also includes an energy consumption management module, which can monitor and record the energy consumption of the air purification system in real time. When the energy consumption is abnormal or exceeds the preset threshold, the energy consumption management module will issue a warning through the alarm module.
[0079] The specific implementation process is as follows: The implementation of the energy consumption management module in the air purification system aims to achieve real-time monitoring, recording and analysis of energy consumption, as well as early warning functions for abnormal energy consumption, thereby improving the energy efficiency and operating economy of the system. Energy consumption sensors are installed in key energy consumption parts of the air purification system (such as fans, motors, heating / cooling equipment, etc.) to collect energy consumption data in real time. These sensors should have the characteristics of high precision and high stability to ensure the accuracy of the data. Build a data acquisition system to receive energy consumption data from sensors and perform preliminary processing and storage.
[0080] According to the actual situation of the air purification system and user needs, set reasonable energy consumption thresholds. These thresholds can be set based on historical data, industry standards or user customization. When the energy consumption data exceeds the preset threshold, the energy consumption management module should be able to automatically trigger the early warning mechanism. Early warning methods can include system pop-ups, SMS notifications, email reminders, etc., so that users can understand abnormal situations in time and take measures. Record the detailed information of each early warning, including warning time, warning type, energy consumption data, etc. This information is of great significance for subsequent analysis and improvement.
[0081] The above is only an embodiment of the present invention, and the common knowledge such as the known specific structure and / or characteristics in the scheme is not described in detail here. It should be pointed out that for those skilled in the art, several deformations and improvements can be made without departing from the structure of the present invention, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicality of the patent. The scope of protection required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.
Claims
1. An air purification system for a medical laboratory, characterized in that: include: Several data acquisition modules for real-time monitoring of air quality in medical laboratories; A data processing module is used to analyze and process the data monitored in real time by the data acquisition module; An air purification module consisting of an air supply component, a return air component and a filter component. The air supply component is used to send external or preliminarily processed air into the laboratory, the return air component is used to collect the air in the laboratory and send it back to the air purification system for further processing, and the filter component is used to remove various pollutants in the air; the air supply component is installed on the top of the medical laboratory, the return air component is installed on the bottom of the medical laboratory, the filter component is installed between the air supply component and the medical laboratory and on the return flow path of the return air component, the filter component is composed of multiple layers of filter screens with different functions, and a self-cleaning structure is installed in the filter component; The self-cleaning structure includes a support rod, two ends of the support rod are fixedly connected to a mounting ring, the support rod passes through the first filter screen and the second filter screen, one side of the mounting ring is fixedly connected to a mounting plate, the mounting plate is rotatably matched with a rotating shaft, one end of the rotating shaft is fixedly connected to a fan blade, the other end of the rotating shaft is fixedly connected to a cross rod, the other end of the cross rod is hinged to a connecting rod, the connecting rod is hinged to a fixing frame at one end away from the cross rod, the fixing frame is fixedly connected to the first filter screen, the first filter screen is fixedly connected to a vertical rod on one side away from the fixed frame, the vertical rod passes through the second filter screen, the support rod and the vertical rod are respectively sleeved with a first spring and a second spring, one end of the first spring is fixedly connected to the first filter screen, the other end of the first spring is fixedly connected to the second filter screen, one end of the second spring is fixedly connected to the second filter screen, and the other end of the second spring is fixedly connected to the vertical rod; The control module is responsible for receiving the analysis results of the data processing module and automatically adjusting the operating state of the air purification module according to the preset air quality standards or parameters. When the data processing module analyzes that the data collected by the data acquisition module is abnormal, the control module adjusts the corresponding operating state of the air purification module according to the abnormal situation of different data. The control logic of the control module is: When the abnormal situation is that the overall data is abnormal, the control module adjusts the air supply volume of the air supply component; When the abnormal situation is a local data abnormality, the control module adjusts the air supply direction and air supply speed of the air supply component; When the abnormal situation is that the positive pressure in the medical laboratory is insufficient, the control module adjusts the return air volume of the return air component; When the abnormal situation is that the concentration of specific pollutants in the air exceeds the standard, the control module adjusts the pore size of the filter component; When the data acquisition module detects that the blockage degree of the filter component reaches a preset threshold, or according to the set regular cleaning plan, the control module will start the self-cleaning structure to perform a self-cleaning operation.
2. The air purification system for medical laboratories according to claim 1, characterized in that: The filter assembly includes a first filter for intercepting large particles, a second filter for removing suspended particles, a HEPA filter for removing microorganisms, an activated carbon layer for removing odors, and a photocatalyst layer for decomposing harmful substances in the air.
3. The air purification system for medical laboratories according to claim 1, characterized in that: The data acquisition module includes but is not limited to: temperature and humidity sensors, PM2.5 sensors, harmful gas sensors and microbial detection sensors.
4. The air purification system for medical laboratories according to claim 1, characterized in that: A locking assembly is installed on the rotating shaft, and the locking assembly includes an electromagnetic lock and a lock tongue, and the electromagnetic lock and the lock tongue are installed on the rotating shaft and the mounting plate respectively; When the system is in a non-cleaning state, the electromagnetic lock is in a locked state; When the system needs to perform a self-cleaning operation, the control module sends an unlocking signal to the electromagnetic lock, allowing the fan blades to rotate freely under the drive of the airflow, thereby driving the self-cleaning structure.
5. The air purification system for medical laboratories according to claim 1, characterized in that: It also includes a fault self-detection module and an alarm module. When any component in the system fails or is abnormal, the control module can immediately identify and trigger the alarm mechanism in the alarm module.
6. The air purification system for medical laboratories according to claim 5, characterized in that: The alarm module includes an indicator light, a buzzer and a communication component. The alarm mechanism in the alarm module is an audible and visual alarm or a remote communication method.
7. The air purification system for medical laboratories according to claim 1, characterized in that: It also includes an intelligent scheduling module, which can automatically adjust the operation strategy of the air purification module in each area according to the usage requirements of different areas or different time periods of the medical laboratory.
8. The air purification system for medical laboratories according to claim 1, characterized in that: It also includes a prediction module, which uses a machine learning algorithm to identify the changing patterns and trends of air quality under different experimental scenarios, predict the changing trends of air quality, and adjust the operating parameters of the air purification module in advance according to the predicted changing trends.
9. The air purification system for medical laboratories according to claim 1, characterized in that: It also includes a remote monitoring and operation module, through which the user can remotely access and control various parameters of the system.
10. The air purification system for medical laboratories according to claim 1, characterized in that: It also includes an energy consumption management module, which can monitor and record the energy consumption of the air purification system in real time. When the energy consumption is abnormal or exceeds the preset threshold, the energy consumption management module will issue a warning through the alarm module.
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