EP4389231A1 - Système de ventilateur et procédé de détermination du type de masque - Google Patents

Système de ventilateur et procédé de détermination du type de masque Download PDF

Info

Publication number
EP4389231A1
EP4389231A1 EP23160802.7A EP23160802A EP4389231A1 EP 4389231 A1 EP4389231 A1 EP 4389231A1 EP 23160802 A EP23160802 A EP 23160802A EP 4389231 A1 EP4389231 A1 EP 4389231A1
Authority
EP
European Patent Office
Prior art keywords
mask
fan
type
filtration
determining
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
EP23160802.7A
Other languages
German (de)
English (en)
Inventor
Jun Gu
Tao Kong
Xuan Zhang
Wei Gu
Guanqun Zhang
Weizhong Chen
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Koninklijke Philips NV
Original Assignee
Koninklijke Philips NV
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Koninklijke Philips NV filed Critical Koninklijke Philips NV
Priority to PCT/EP2023/086517 priority Critical patent/WO2024133181A2/fr
Publication of EP4389231A1 publication Critical patent/EP4389231A1/fr
Pending legal-status Critical Current

Links

Images

Classifications

    • A—HUMAN NECESSITIES
    • A62—LIFE-SAVING; FIRE-FIGHTING
    • A62B—DEVICES, APPARATUS OR METHODS FOR LIFE-SAVING
    • A62B18/00—Breathing masks or helmets, e.g. affording protection against chemical agents or for use at high altitudes or incorporating a pump or compressor for reducing the inhalation effort
    • A62B18/006—Breathing masks or helmets, e.g. affording protection against chemical agents or for use at high altitudes or incorporating a pump or compressor for reducing the inhalation effort with pumps for forced ventilation
    • A—HUMAN NECESSITIES
    • A62—LIFE-SAVING; FIRE-FIGHTING
    • A62B—DEVICES, APPARATUS OR METHODS FOR LIFE-SAVING
    • A62B18/00—Breathing masks or helmets, e.g. affording protection against chemical agents or for use at high altitudes or incorporating a pump or compressor for reducing the inhalation effort
    • A62B18/02—Masks
    • A—HUMAN NECESSITIES
    • A62—LIFE-SAVING; FIRE-FIGHTING
    • A62B—DEVICES, APPARATUS OR METHODS FOR LIFE-SAVING
    • A62B18/00—Breathing masks or helmets, e.g. affording protection against chemical agents or for use at high altitudes or incorporating a pump or compressor for reducing the inhalation effort
    • A62B18/04—Gas helmets
    • A62B18/045—Gas helmets with fans for delivering air for breathing mounted in or on the helmet

Definitions

  • Embodiments of the present disclosure generally relate to a field of face masks, and more specifically, to a fan system adapted to be coupled to a mask, a face mask, a face mask assembly and a method for determining a type of a mask and a computer program product.
  • KN95/N95 masks are needed for highly polluted environment while normal medical face masks with bacterial filtration efficiency (BFE) greater than 95% could be used in a normal environment.
  • BFE bacterial filtration efficiency
  • a fan can be attached to the mask and facilitate the airflow passing through the face mask.
  • example embodiments of the present disclosure propose solutions for identifying a type of a mask.
  • example embodiments of the present disclosure provide a fan system adapted to be coupled to a mask.
  • the fan system comprises: a fan configured to facilitate an airflow passing through a filter material of the mask; and a controller configured to control the fan to operate with a drive signal.
  • the controller is further configured to: obtain operation data of the fan driven by a testing drive signal; and determine a type of the mask based on the operation data, wherein the type is associated with a filtration characteristic of the mask.
  • the face masks of different types have different filtration characteristics which in turn are associated with the operation performance of the fan. For example, when the fan is driven by a same drive signal to operate under a certain voltage, the fan attached to a face mask with higher filtration characteristics will rotate at a higher speed. Comparatively, the fan attached to a face mask with a lower filtration characteristic will rotate at a lower speed. In this way, the controller can automatically identify a type of a mask based on the operation data of the fan obtained from the fan without additional components, thereby providing a cost saving and design friendly solution.
  • the controller may be further configured to determine the type of the mask by: obtaining reference data associated with the testing drive signal, the reference data including operation data of the fan without being coupled to a mask; and determining the type based on the reference data, the operation data, and a preset criterion.
  • the operation performance of the fan may differ from each other even with a same model.
  • the method may further comprise: a memory, configured to store the reference data and the preset criterion as fan specification.
  • a memory configured to store the reference data and the preset criterion as fan specification.
  • the controller may be further configured to determine the type of the mask by: selecting, from the preset criterion, at least one threshold range associated with the testing drive signal; determining a difference between the reference data and the operation data; and in response to determining that the difference is in a first threshold range of the at least one threshold range, determining the type of the mask as a first type, and/or in response to determining that the difference is in a second threshold range of the at least one threshold range, determining the type of the mask as a second type, the second type having a lower filtration characteristics than the first type, and threshold values in the second threshold range is lower than threshold values in the first threshold range.
  • the type of the mask can be determined.
  • the threshold ranges are directly proportional to the filtration characteristics.
  • a threshold range with higher values may indicate a type of mask with higher filtration characteristics.
  • the filtration characteristics would be indicated by a filtration resistance value for the mask, filtration resistance-pressure difference curve, filtration resistance-flow rate curve, filtration resistance-rotation rate curve tendency, characteristic of the curve, or filtration resistance values of more than one testing points to determine the type of the mask similarly to value comparison.
  • determining the difference between the reference data and the operation data may comprise: determining whether an overall airflow passing through the fan system includes breathing airflow based on the operation data; in response to determining that the overall airflow includes the breathing airflow, determining a base value of the operation data and determining the difference between the reference data and the base value, and/or in response to determining that the overall airflow does not include the breathing airflow, determining the difference between the reference data and a value of the operation data.
  • any value of the operation data can be used to determine the difference.
  • the airflow passing through the fan system must include a breathing airflow from the user.
  • the breathing airflow is cyclic which makes the operation data of the has a oscillatory pattern.
  • a base value of the operation data may be selected for determining the difference.
  • the base may be a maximum value, a minimum value or a mean value of the operation data.
  • the controller may be further configured to determine the type of the mask by: obtaining reference data associated with the testing drive signal, the reference data including rated operation data of the fan; and in response to determining that the reference data and the operation data do not satisfy a preset criterion, determining the type of the mask as an abnormal type.
  • the fan system may not be configured to be adapted to the mask. The fan system the fan system may then stop operating thereby avoiding fail to provide a less comfortable wearing experience.
  • the controller may be further configured to: obtain a customized drive signal for the determined type; and control the fan to operate with the customized drive signal.
  • each type of mask is associated with a suitable customized drive signal for controlling the fan.
  • the corresponding customized drive signal can be transmitted to control the fan thereby causing the fan to operate in an optimal state.
  • the operation data may comprise at least one of: a speed value and/ or sequence of the fan; a current value and/or sequence of the fan; or power consumption value and/or sequence of the fan.
  • the speed, current value and the power consumption of the fan are all associated with the filtration characteristics of the mask. In this way, the type of the mask can be determined based on any one of the speed, current value and the power consumption.
  • example embodiments of the present disclosure provide a mask for covering at least a portion of a face of a wearer to form a mask volume.
  • the mask comprises: a connector for connecting to the face of the wearer; and an integrated filtration sheet arranged between the mask volume and an atmosphere, at least one piece of the integrated filtration sheet is directly and/or indirectly secured to the connector and the integrated filtration sheet having an inlet filtration portion and an outlet filtration portion, wherein the inlet filtration portion and/or the outlet filtration portion has a predetermined filtration characteristic to indicate a type of the mask.
  • the filtration characteristic of the mask affects the operation performance of the fan.
  • the material of the mask is configured to allow a fan system to identify its type with a mechanism in accordance with the present disclose.
  • a visual indicator to indicate the inlet filtration portion and/or the outlet filtration portion.
  • the inlet filtration portion is configured to be passed through by airflow from the atmosphere to the mask volume when the wearer inhales
  • the outlet filtration portion is configured to be passed through by airflow from the mask volume to the fan system when the wearer exhales.
  • one of the inlet filtration portion or the outlet filtration portion is adapted to connect to the fan system, the filtration resistance of the one of the inlet filtration portion or the outlet filtration portion is larger than another one of the inlet filtration portion or the outlet filtration portion, preferably, the filtration resistance of the one of the inlet filtration portion or the outlet filtration portion is 6 times of another one of the inlet filtration portion or the outlet filtration portion.
  • example embodiments of the present disclosure provide a face mask assembly.
  • the face mask assembly comprises: a mask according to the second aspect of the present disclosure; and a fan system according to the first aspect of the present disclosure.
  • the fan system is coupled to the mask and configured to facilitate an airflow passing through the filter material of the mask.
  • example embodiments of the present disclosure provide a method for determining a type of a mask.
  • the method comprises obtaining operation data of a fan coupled to a mask driven by a testing drive signal.
  • the fan is configured to facilitate an airflow passing through a filter material of the mask.
  • the method further comprises determining a type of the mask based on the operation data. In this case, the type is associated with a filtration characteristic of the mask.
  • the fan may be configured to identify the mask type.
  • the most common solution is to add digital labels on the mask (such as radio-frequency identification (RFID) labels, or near-field communication (NFC) chips) and detecting function on fan module.
  • RFID radio-frequency identification
  • NFC near-field communication
  • the masks will be disposed after usage resulting in a huge waste when the digital labels are disposed together with the masks.
  • most of masks are very soft, and it is difficult to mount the label elements on the soft masks. Therefore, the digital label solution is high-cost and has technical problem.
  • a new mechanism is provided for determine the type of the mask according to embodiments of the present disclosure.
  • the operation characteristics of the fan are used as inputs to identify the mask type.
  • additional identification components such as extra labels can be spared.
  • Mask type identification could be done during the normal mask usage automatically, thereby allowing the fan module to be adapted to the corresponding type at proper setting and provide higher-level comfortableness.
  • Fig. 1A schematically illustrates a face mask assembly 10 in an assembled state in accordance with embodiments of the present disclosure.
  • the face mask assembly 10 includes a mask 200 for covering at least a portion of a face of a wearer to form a mask volume.
  • a fan system 100 is secured on the surface of the mask 200. It should be appreciated that although the fan system 100 as illustrated in Fig. 1 is provided on the outer surface of the mask 200 opposite from the face of the wearer, the fan system 100 may also be provided on the inner side of the mask 200. The detailed structures of the fan system 100 and the mask 200 will be described with reference to Figs. 2-3 later.
  • Fig. 1B schematically illustrates an exploded diagram of the face mask assembly 10 of Fig. 1A .
  • the mask 200 includes an integrated filtration sheet 220 arranged between the mask volume and an atmosphere.
  • the integrated filtration sheet 220 includes filter material and may filter the air flowing from the atmosphere into the mask volume and also the air flowing from the mask volume into the atmosphere.
  • the filter material covers most part of the mask and the mask does not include any valve or other part that air can permeate.
  • the mask further comprises connectors 210-1 and 210-2 for connecting to the face of the wearer.
  • the connectors 210-1 and 210-2 extend from the edge of the integrated filtration sheet 220 and can be hanged on the ears of the wearer.
  • the mask may further comprise a bracket 230 on the inner side to support the fan system 100.
  • the controller 130 further includes a processor 131 to process the collected operation data of the fan and a memory 132 storing instructions for the processor 131 to execute and other data essential for performing the preconfigured functions of the fan system 100. It should be appreciated that the controller 130 may be a processor.
  • the fan system 100 may further include a wireless communication module 150 coupled to the fan 130 and a computing device 160.
  • the computing device 160 may communicate with the fan 120 via the wireless communication module 150 to receive operation data of the fan 120.
  • the computing device 160 may process the operation data and generate instructions for the fan 120.
  • the computing device 160 then transmits the generated instructions to the fan 120 via the wireless communication module 150 remotely.
  • Fig. 3 schematically illustrates a mask 200 of Fig. 1A .
  • the integrated filtration sheet 220 of the mask 200 comprises a first portion 221 and a second portion 222.
  • the second portion 222 is defined by the bracket 230.
  • the fan system 100 When the fan system 100 is secured by means of the bracket 230, the fan system 100 and the bracket 230 enclose the second portion 222 and form a filtration channel passing through the second portion 222.
  • the wearer inhales, the air flows from the atmosphere into the mask volume through the first portion 221 and when the wearer exhales, the air flows from the mask volume into the atmosphere through the second portion 222.
  • the first portion 221 may also be referred to as “an inlet filtration portion” and the second portion 222 may also be referred to as “an outlet filtration portion”.
  • the fan system 100 may also be provided on the inner side of the mask 200 and configured to facilitate the air flows into the mask volume.
  • the second portion which is in the airflow channel formed by the fan system may also be an inlet filtration portion and the first portion outside the second portion may be an outlet filtration portion.
  • the second portion 222 has a predetermined filtration characteristic which is associated with its type.
  • a KN95/N95 mask has a higher filtration resistance than the normal medical mask.
  • the filtration characteristics would be indicated by more than a filtration resistance value for the mask, such as, filtration resistance-pressure difference curve, filtration resistance-flow rate curve, filtration resistance-rotation rate curve tendency, characteristic of the curve, or filtration resistance values of more than one testing points to determine the type of the mask similarly to value comparison illustrated in the embodiment here. Therefore, the filtration characteristic of a mask may indicate the type of the mask.
  • the filtration characteristic of the mask is also associated with the operation performance of the fan. In the following, the relationship between the operation performance of the fan and the filtration characteristic of the mask will be described with reference to Fig. 4 to 5C .
  • Fig. 4 schematically illustrates a diagram 400 of speeds of the fan over different filtration resistance in accordance with embodiments of the present disclosure.
  • the fan 120 can operate at 3 power levels.
  • the rotational speed curve 410 at power level 1 increases approximately from 8000 revolutions per minute (rpm) to 8600 rpm.
  • the rotational speed curve 420 at power level 2 increases from approximately 9900 rpm to 10600 rpm.
  • the rotational speed curve 430 at power level 3 increases approximately from 10950 rpm to 11950 rpm.
  • the lowest speed may correspond to the case without attaching to a mask.
  • the middle speed may correspond to the case with a normal medical mask.
  • the highest speed may correspond to the case with a KN95/N95 mask.
  • the rotational speed of the fan 120 increases as the filtration resistance of the mask 200 increases and the rotational speed associated with a type of the mask lies in a certain range. Therefore, the type of the mask may be distinguished by different threshold ranges of the rotational speed.
  • the airflow going through the fan 120 is determined by both operation characteristics of the fan 120 and filtration resistance of the mask.
  • Fig. 5A schematically illustrates a schematic diagram of an airflow model of the face mask assembly 10 without being worn.
  • the second portion 222 of the integrated filtration sheet 220 is aligned with the fan system 100.
  • the face mask assembly 10 is not worn and the air flows directly to the second portion 222 and then is facilitated by the fan 120 and flows through the second portion 222 and the fan system 100 into the atmosphere.
  • Fig. 5B schematically illustrates a schematic diagram of an airflow model of the face mask assembly 10 being worn without leakage.
  • the face mask assembly 10 is properly worn by a wearer 20.
  • the air flows from the atmosphere into the mask volume through the first portion 221.
  • the air in the mask volume flows to the second portion 222 and flows through the second portion 222 and the fan system 100 into the atmosphere.
  • the filtration resistance of the mask 200 can be considered as a summation of a series connection of the filtration resistance of the first portion 221 and the filtration resistance of the second portion 222:
  • R mask R first portion + R second portion where R first portion denotes the filtration resistance of the first portion 221.
  • the ratio of their filtration resistance is the inverse of the ratio of their size.
  • the size of the second portion 222 may be about 1/6 of the size of the first portion 221.
  • the rotational speed of the fan 120 mainly depends on the filtration resistance of the second portion 222, which is the portion connected to the fan system 100.
  • Fig. 5C schematically illustrates a schematic diagram of an airflow model of the face mask assembly 10 being worn with leakage.
  • the face mask assembly 10 is not properly worn by the wearer 20 which results in a gap between the mask 200 and the face of the wearer 20.
  • the air flows from the atmosphere into the mask volume through the first portion 221 and the gap between the mask 200 and the wearer 20.
  • the air in the mask volume flows to the second portion 222 and flows through the second portion 222 and the fan system 100 into the atmosphere.
  • the increase of the airflow amount from the leakage could be considered as the decrease of the filtration resistance of the first portion 221.
  • the ratio of the filtration resistance of the first portion 221 with respect to the filtration resistance summation of the first portion 221 and the second portion 222 becomes even smaller. Therefore, the rotational speed of the fan 120 also mainly depends on the filtration resistance of the second portion 222.
  • the rotational speed of the fan 120 is related to the filtration resistance of the mask 200 which mostly depends on the filtration resistance of the second portion 222 in the air path formed by the fan 120.
  • the filtration resistance of the second portion 222 can be determined for identity the type of the mask. The method for determining the type of the mask based on the operation performance of the fan will be described with reference to Figs. 6-7 .
  • Fig. 6 schematically illustrates a flowchart of a method 600 for determining a type of a mask in accordance with embodiments of the present disclosure.
  • the method 600 may be implemented by the controller 130 or the computing device 160 in Fig. 2 .
  • the method hereinafter will be described with reference to Figs. 2-3 .
  • the controller 130 obtains operation data of the fan 120 driven by a testing drive signal.
  • a type identification procedure may be automatically initiated.
  • the controller 130 transmits a testing drive signal to control the fan 120 to rotate under a testing condition, for example under a certain drive voltage.
  • the controller 130 collects the operation data of the fan 120 for example from its motor.
  • the testing condition may be a specifically configured condition or a normal operation condition of the fan 120.
  • the controller 130 determines a type of the mask based on the operation data.
  • the type is associated with a filtration characteristic of the mask as discussed above.
  • the controller 130 may process the data and determines the type of the mask 200. In this way, the type of the mask can be determined merely based on the collected operation data without additional indication mechanism.
  • Fig. 7 schematically illustrates a flowchart of a method 700 for determining a type of a mask based on the collected data in accordance with further embodiments of the present disclosure.
  • the method 700 may correspond to the step 604 of the method 600.
  • the method 700 may also be implemented by the controller 130 or the computing device 160 in Fig. 2 .
  • the controller 130 obtains reference data associated with the testing drive signal.
  • the rotational speeds of the fans of the same model may be slightly different from each other due to manufacture tolerance.
  • the reference data includes operation data of the fan without being coupled to a mask. This basic operation data of the fan 120 may be detected as the reference data before sale.
  • the reference data may be stored in the memory 132.
  • the controller 130 selects at least one threshold range associated with the testing drive signal from the preset criterion.
  • the preset criterion may include a plurality of sets of threshold ranges. Each set of the threshold ranges may be associated with one of a plurality of the power levels. The number of the threshold ranges in each set may correspond to the number of the type of the mask. For example, if the fan 120 has 3 power levels and is adapted to two types of the masks, such as normal medical mask and KN95/N95 mask, the preset criterion may include 3 sets of threshold ranges and each set includes two threshold ranges corresponding to the two types. The threshold ranges may be obtained by tests and stored in the memory 132.
  • the controller 130 determines whether an overall airflow passing through the fan system includes breathing airflow based on the operation data. If the wearer turns on the fan while wearing the mask, the overall airflow passing through the fan system 100 may include breathing airflow exhaled by the wearer. Since breathing airflow is oscillatory, the operation data will also be oscillatory which is illustrated in Fig. 8 .
  • Fig. 8 schematically illustrates a diagram 800 of operation data during operation with breathing airflow in accordance with embodiments of the present disclosure.
  • the rotational speed of the fan 120 oscillates over time.
  • the rotational speed curve 810 of the fan 120 coupled to a mask with lower filtration resistance oscillates approximately between 10400 rpm and 10500 rpm.
  • the rotational speed curve 820 of the fan 120 coupled to a mask with higher filtration resistance oscillates approximately between 10550 rpm and 10750 rpm.
  • the controller 130 determines that the overall airflow passing through the fan system includes breathing airflow based on the operation data. For example, if the operation data has an oscillatory pattern, the breathing airflow is included.
  • the method 700 proceeds to 708.
  • the controller 130 determines a base value of the operation data and determines the difference between the reference data and the base value at 710. In this case, specific data needs be selected as a base value for subsequent calculations.
  • the base value may be the maximum value, minimum value or mean value of the operation data.
  • the controller 130 determines that the overall airflow passing through the fan system does not include breathing airflow based on the operation data. For example, if the operation data has a linear pattern, the breathing airflow is not included.
  • the method 700 proceeds to 712.
  • the controller 130 determines the difference between the reference data and a value of the operation data.
  • the operation data of the fan 120 may be substantially same which means the difference of the operation data is in an acceptably small range. Therefore, any one of the operation data can be used for subsequent calculation.
  • a statistical value of the operation data may be determined for calculating the difference.
  • the controller 130 compares the difference with the selected threshold ranges in sequence. At 714, the controller 130 determines whether the difference is in a first threshold range of the at least one threshold range. If the controller 130 determines that the difference is in a first threshold range. The method proceeds to 716 and the controller 130 determines the type of the mask as a first type at 716.
  • the controller 130 determines that the difference is not in the first threshold range.
  • the method proceeds to 718 and the controller 130 determines whether the difference is in a second threshold range of the at least one threshold range.
  • the second ranges may be adjacent to the first threshold range and the threshold values in the second threshold range are lower than threshold values in the first threshold range. If the controller 130 determines that the difference is in the second threshold range.
  • the method proceeds to 720 and the controller 130 determines the type of the mask as a second type at 720.
  • the controller 130 determines that the difference is not in the second threshold range which means the difference is neither in the first threshold range nor in the second threshold range. The method proceeds to 722 and the controller 130 determines the type of the mask as an abnormal type at 722. If the type of the mask does not correspond to any of the preconfigured types, the fan system 100 may not be adapted to this type of mask and may not provide a comfortable breathing experience.
  • the controller 130 may select a customized driving solution corresponding to the type. Then, the controller 130 may generate a customized drive signal and control the fan to operate with the customized drive signal.
  • FIG. 9A schematically illustrates a diagram 901 of rotational speed of the fan 120 at power level 3 for a normal medical mask.
  • the controller 130 processes the data and determines that the data in the diagram 901 has an oscillatory pattern and therefore breathing airflow is involved.
  • the detected maximum value of the rotational speed is 12262 rpm and the minimum value of the rotational speed is 12220 rpm. Therefore, a mean value of 12241 rpm between the maximum value and minimum value can be determined as a base value.
  • the threshold range for normal medical masks may be [0, 50] and the threshold range for KN95/N95 masks may be (50, + ⁇ ). Therefore, the calculated difference is in the threshold range for normal medical masks and it is concluded that the mask is a normal medical mask.
  • the Fig. 9B schematically illustrates a diagram 903 of rotational speed of the fan 120 at power level 3 for a KN95/N95 mask.
  • the data in the diagram 903 also has an oscillatory pattern and therefore it can be determined that breathing airflow is involved.
  • the detected maximum value of the rotational speed is 12735 rpm and the minimum value of the rotational speed is 12667 rpm. Therefore, a mean value of 12701 rpm between the maximum value and minimum value can be determined as a base value.
  • the calculated difference is in the threshold range for KN95/N95 masks and it is concluded that the mask is a KN95/N95 mask.
  • Fig. 10 illustrates a schematic diagram of a computing device 1000 for implementing a method in accordance with embodiments of the present disclosure.
  • the computing device 1000 may comprise the controller 130 and/or the computing device 160.
  • the computing device 1000 comprises: at least one processor 1010 and at least one memory 1020.
  • the at least one processor 1010 may be coupled to the at least one memory 1020.
  • the at least one memory 1020 comprises instructions 1022 that when executed by the at least one processor 1010 implements the method 600 or 700.
  • a computer readable medium for adjusting robot path has instructions stored thereon, and the instructions, when executed on at least one processor, may cause at least one processor to perform the method for managing a camera system as described in the preceding paragraphs, and details will be omitted hereinafter.
  • various embodiments of the present disclosure may be implemented in hardware or special purpose circuits, software, logic or any combination thereof. Some aspects may be implemented in hardware, while other aspects may be implemented in firmware or software which may be executed by a controller, microprocessor or other computing device. While various aspects of embodiments of the present disclosure are illustrated and described as block diagrams, flowcharts, or using some other pictorial representation, it will be appreciated that the blocks, apparatus, systems, techniques or methods described herein may be implemented in, as non-limiting examples, hardware, software, firmware, special purpose circuits or logic, general purpose hardware or controller or other computing devices, or some combination thereof.
  • the present disclosure also provides at least one computer program product tangibly stored on a non-transitory computer readable storage medium.
  • the computer program product includes computer-executable instructions, such as those included in program modules, being executed in a device on a target real or virtual processor, to carry out the process or method as described above with reference to Figs. 6 and 7 .
  • program modules include routines, programs, libraries, objects, classes, components, data structures, or the like that perform particular tasks or implement particular abstract data types.
  • the functionality of the program modules may be combined or split between program modules as ideal in various embodiments.
  • Machine-executable instructions for program modules may be executed within a local or distributed device. In a distributed device, program modules may be located in both local and remote storage media.
  • Program code for carrying out methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowcharts and/or block diagrams to be implemented.
  • the program code may execute entirely on a machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
  • the above program code may be embodied on a machine readable medium, which may be any tangible medium that may contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
  • the machine readable medium may be a machine readable signal medium or a machine readable storage medium.
  • a machine readable medium may include but not limited to an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing.
  • machine readable storage medium More specific examples of the machine readable storage medium would include an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
  • RAM random access memory
  • ROM read-only memory
  • EPROM or Flash memory erasable programmable read-only memory
  • CD-ROM portable compact disc read-only memory
  • magnetic storage device or any suitable combination of the foregoing.

Landscapes

  • Health & Medical Sciences (AREA)
  • Pulmonology (AREA)
  • General Health & Medical Sciences (AREA)
  • Business, Economics & Management (AREA)
  • Emergency Management (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Zoology (AREA)
  • Respiratory Apparatuses And Protective Means (AREA)
EP23160802.7A 2022-12-22 2023-03-08 Système de ventilateur et procédé de détermination du type de masque Pending EP4389231A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/EP2023/086517 WO2024133181A2 (fr) 2022-12-22 2023-12-19 Système de ventilateur et procédé de détermination du type de masque

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN2022141201 2022-12-22

Publications (1)

Publication Number Publication Date
EP4389231A1 true EP4389231A1 (fr) 2024-06-26

Family

ID=85556760

Family Applications (1)

Application Number Title Priority Date Filing Date
EP23160802.7A Pending EP4389231A1 (fr) 2022-12-22 2023-03-08 Système de ventilateur et procédé de détermination du type de masque

Country Status (1)

Country Link
EP (1) EP4389231A1 (fr)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4905687A (en) * 1987-10-05 1990-03-06 Kemira Oy Method and apparatus for regulating air supplied to a gas mask
US20180078798A1 (en) * 2015-04-03 2018-03-22 Microsfere Pte. Ltd. Respiratory masks, systems and methods
EP3441100A1 (fr) * 2017-08-10 2019-02-13 Koninklijke Philips N.V. Appareil respiratoire à base de masque et procédé de commande
US20200282242A1 (en) * 2017-09-28 2020-09-10 CleanSpace IP Pty Ltd Portable personal respirator and use thereof
WO2022049468A1 (fr) * 2020-09-04 2022-03-10 3M Innovative Properties Company Appareil respiratoire et système de charge

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4905687A (en) * 1987-10-05 1990-03-06 Kemira Oy Method and apparatus for regulating air supplied to a gas mask
US20180078798A1 (en) * 2015-04-03 2018-03-22 Microsfere Pte. Ltd. Respiratory masks, systems and methods
EP3441100A1 (fr) * 2017-08-10 2019-02-13 Koninklijke Philips N.V. Appareil respiratoire à base de masque et procédé de commande
US20200282242A1 (en) * 2017-09-28 2020-09-10 CleanSpace IP Pty Ltd Portable personal respirator and use thereof
WO2022049468A1 (fr) * 2020-09-04 2022-03-10 3M Innovative Properties Company Appareil respiratoire et système de charge

Similar Documents

Publication Publication Date Title
US9414169B2 (en) Device and method for detecting change in characteristics of hearing aid
EP3131600B1 (fr) Procédés et systèmes pour fournir une rétroaction de batterie à un patient
EP3657086B1 (fr) Procédé et dispositif de commande d'appareil
EP2804674B1 (fr) Détermination précise du temps restant jusqu'à ce que la batterie soit vide dans un respirateur de purification d'air motorisé
US20220355132A1 (en) Method of controlling a powered air purifying respirator
WO2018036902A1 (fr) Masque respiratoire avec confort d'utilisateur augmenté
US12017098B2 (en) Method of controlling a powered air purifying respirator
CN112943666B (zh) 呼吸机涡轮风机转速补偿方法、系统及可读存储介质
US11642553B2 (en) Portable personal respirator and use thereof
US20170292726A1 (en) Air-conditioning management apparatus and air-conditioning system
CN107965884B (zh) 运行控制方法、运行控制装置、计算机设备和可读存储介质
EP4389231A1 (fr) Système de ventilateur et procédé de détermination du type de masque
SE540448C2 (en) Method of optimizing filter life cycle between replacements and system for monitoring a ventilation system
US11885515B2 (en) Air conditioning system to calculate indoor air quality index to control air ventilation
WO2024133181A2 (fr) Système de ventilateur et procédé de détermination du type de masque
US20150182710A1 (en) Patient interface assembly disconnect detection
CN110780948B (zh) 一种调节口罩中风量的方法及口罩
EP3768392B1 (fr) Masque facial d'assistance respiratoire et son procédé de commande
WO2022101807A1 (fr) Procédé et appareil pour maintenir un flux d'air dans un appareil respiratoire à purification d'air motorisé
CN107101267B (zh) 空调器以及空调器上风机及下风机的区分方法、装置
CN110578705A (zh) 故障诊断方法及装置
EP4252644A1 (fr) Appareil, système et procédé de surveillance de fonctionnement
CN115388518A (zh) 用于空调的故障预警方法及装置、空调、存储介质
CN113530869A (zh) 风扇结构、风扇及风扇的防夹物方法
CN108151258A (zh) 空调的控制方法、装置和系统、存储介质、处理器

Legal Events

Date Code Title Description
PUAI Public reference made under article 153(3) epc to a published international application that has entered the european phase

Free format text: ORIGINAL CODE: 0009012

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: THE APPLICATION HAS BEEN PUBLISHED

AK Designated contracting states

Kind code of ref document: A1

Designated state(s): AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC ME MK MT NL NO PL PT RO RS SE SI SK SM TR