Intelligent dustproof half mask based on flexible sensing multi-information early warning system and early warning method

Abstract

The invention discloses an intelligent dustproof half mask based on a flexible sensing multi-information early warning system and an early warning method, and relates to the technical field of industrial individual protection. The mask comprises a mask body, a filtering module and an intelligent monitoring and early warning system. The inner side of the mask body is provided with a flexible PCB attaching area, and the outer side is provided with a battery jar. The monitoring and early warning system is integrated on a flexible PCB, comprises a temperature and humidity sensor, a dust sensor and a pressure sensor, and monitors the breathing cavity environment, the dust concentration and the breathing state in real time; and the micro-processing unit analyzes the data and gives a corresponding alarm through the outside early warning module. The power module supplies power to the whole system. According to the system, multi-dimensional intelligent monitoring and active early warning of the wearing environment are realized. According to the invention, monitoring and early warning of the multi-source information state can be supported.

Description

Technical Field

[0001] This invention relates to the field of industrial personal protective equipment technology, and in particular to an intelligent dustproof half-face mask and early warning method based on a flexible sensing multi-information early warning system. Background Technology

[0002] Industrial production activities, such as coal mining and building materials processing, typically generate large amounts of dust. Long-term inhalation of high concentrations of dust can easily lead to pneumoconiosis and other high-risk occupational diseases among workers. Personal protective equipment (PPE) is the most effective measure to reduce dust exposure. Dust half-face masks are commonly used respiratory protective gear in industrial polluted environments because they effectively filter dust particles, have high sealing performance, and a long service life. Traditional dust half-face masks are primarily passive self-priming filters, and their protective performance is prone to failure over prolonged use, often without being noticeable. Furthermore, heat buildup inside the mask can worsen the thermal environment, affecting worker comfort. Currently, there is a lack of research on monitoring the internal environment of PPE, making it difficult to overcome the shortcomings of dust masks. The main challenges lie in the compatible design of rigid sensor modules with textile materials and the fusion and early warning methods of multi-source monitoring information. Summary of the Invention

[0003] The purpose of this invention is to provide an intelligent dustproof half-mask and early warning method based on a flexible sensing multi-information early warning system, aiming to solve or improve at least one of the above-mentioned technical problems.

[0004] To achieve the above objectives, the present invention provides the following solution: A smart dustproof half-face mask based on a flexible sensing multi-information early warning system includes: The main body of the mask is made of flexible material and has an inner side that conforms to the contours of the user's face to form an internal breathing cavity and an outer side exposed to the external environment; wherein, the inner side is provided with an elastic sealing edge for conforming to the face to form a breathing cavity and is provided with a flexible PCB board bonding area; the outer side is provided with a battery mounting slot, a filter module and an exhalation valve. The filter module is detachably connected to the interface on the outside of the mask body, including filter cotton for filtering particulate matter in the air and a sealing ring between the filter cotton and the interface. Intelligent monitoring and early warning system, including: A flexible PCB board is fixedly connected to the flexible PCB board bonding area on the inner side of the mask body; The sensing module, mounted on the flexible PCB board, includes a temperature and humidity sensor for monitoring the temperature and humidity inside the mask, a miniature dust sensor for monitoring the dust concentration inside the mask, and a pressure sensor for monitoring the breathing state; wherein, the pressure sensor is in fluid communication with the breathing cavity through a through hole opened on the flexible PCB board. A microprocessor unit, disposed on the flexible PCB board, is used to receive and process the signal data collected by the sensing module; The early warning module is located on the outside of the mask and is electrically connected to the microprocessor unit. It is used to make early warning judgments based on the signal data and to execute corresponding early warning operations based on the judgment results. The power module includes a power management unit disposed on the flexible PCB board and a battery storage unit connected to the power management unit via flexible wires, for supplying power to the intelligent monitoring and early warning system.

[0005] Optionally, the warning module includes a visual cue and a tactile cue; the visual cue and the tactile cue are used to generate collaborative cue modes according to different warning levels.

[0006] Optionally, the sensing module, the microprocessor unit, and the early warning module are connected in a star topology via a shared serial communication bus.

[0007] Optionally, the mask body is also provided with a mask strap for fixing the mask body to the user's face.

[0008] Optionally, the battery storage unit is also provided with a Type-C charging port for charging the battery in the battery storage unit.

[0009] Optionally, a micro-through hole is provided on the flexible PCB board at the pressure-sensing port opposite the pressure sensor; the diameter of the micro-through hole is 0.3 mm to 0.8 mm.

[0010] The present invention also provides an early warning method, applied to the smart dustproof half-face mask as described above, comprising: The sensor integrated on the flexible PCB board collects signal data inside the mask in real time; the signal data includes temperature and humidity signals, breathing pressure signals, and dust concentration signals. The respiratory pressure signal is filtered to extract the respiratory rate and determine the positive and negative pressure peaks. The respiratory resistance trend within a set time period is determined based on the positive and negative pressure peaks. The dust concentration signal is smoothed to establish and maintain a dynamic baseline and determine the concentration change trend. Based on the breathing resistance trend, the concentration change trend, and the temperature and humidity signals, a multi-parameter fusion logic judgment is performed, and the warning level is determined and the corresponding warning command is triggered according to the judgment result; The visual and tactile prompts are controlled to perform corresponding warning operations according to the warning instructions.

[0011] Optionally, the filtering process employs a digital high-pass filter with a passband frequency of 0.1 Hz to 2.0 Hz to filter out environmental noise and extract respiratory dynamic signals.

[0012] According to specific embodiments provided by the present invention, the present invention discloses the following technical effects: This invention discloses an intelligent dustproof half-face mask and its warning method based on a flexible sensing multi-information early warning system. The intelligent dustproof half-face mask includes a mask body, a filter module, and an intelligent monitoring and early warning system. The inner side of the mask body has a flexible PCB board bonding area, and the outer side has a battery compartment. The monitoring and early warning system is integrated into the flexible PCB board and includes temperature, humidity, dust, and pressure sensors to monitor the breathing cavity environment, dust concentration, and breathing status in real time. A microprocessor unit analyzes the data and issues corresponding warnings through the outer early warning module. A power module supplies power to the entire system. This system achieves multi-dimensional intelligent monitoring and proactive early warning of the wearing environment. This invention can support the monitoring and early warning of multi-source information status. Attached Figure Description

[0013] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0014] Figure 1 This is a schematic diagram of the internal structure of the dustproof half-mask in this embodiment; Figure 2 This is a schematic diagram of the external structure of the dustproof half-mask in this embodiment; Figure 3 This is a diagram showing the component layout of the flexible PCB board in this embodiment; Figure 4 This is a flowchart of the multi-parameter fusion early warning logic in this embodiment.

[0015] Figure label: 1. Mask body; 11. Exterior; 12. Interior; 13. Exhalation valve; 14. Flexible PCB board bonding area; 15. Filter cotton; 16. Sealing ring; 17. Mask strap; 18. Air inlet; 2. Filter module; 31. Flexible PCB board; 32. Microprocessor unit; 331. Pressure sensor; 332. Temperature and humidity sensor; 333. Miniature dust sensor; 341. Visual cue; 342. Tactile cue; 351. Battery storage unit; 352. Battery management unit; 353. Type-C charging port. Detailed Implementation

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

[0017] The purpose of this invention is to provide an intelligent dustproof half-mask and early warning method based on a flexible sensing multi-information early warning system, aiming to solve or improve at least one of the above-mentioned technical problems.

[0018] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0019] like Figure 1 As shown, the present invention provides an intelligent dustproof half-face mask based on a flexible sensing multi-information early warning system, comprising: The mask body 1, made of flexible material, has an inner surface 12 that conforms to the user's facial contours to form a breathing cavity and an outer surface 11 exposed to the external environment. The inner surface has an elastic sealing edge for conforming to the face to form the breathing cavity and a flexible PCB board bonding area 14. The outer surface has a battery storage unit 351, a Type-C charging port 353, an interface for installing the filter module 2, and an exhalation valve 13. The mask body 1 also has a mask strap 17 for securing the mask body 1 to the user's face.

[0020] The filter module 2 is detachably connected to the interface on the outside of the mask body 1, and includes a filter cotton 15 for filtering particulate matter in the air and a sealing ring 16 disposed between the filter cotton 15 and the interface.

[0021] Intelligent monitoring and early warning system, including: The flexible PCB board 31 is fixedly connected to the flexible PCB board bonding area 14 on the inner side of the mask body 1.

[0022] A sensing module, mounted on the flexible PCB board 31, includes a temperature and humidity sensor 332 for monitoring the temperature and humidity inside the mask, a miniature dust sensor 333 for monitoring the dust concentration inside the mask, and a pressure sensor 331 for monitoring breathing status. The pressure sensor 331 is in fluid communication with the breathing cavity through a through-hole in the flexible PCB board 31. A miniature through-hole with a diameter of 0.3 mm to 0.8 mm is provided on the flexible PCB board 31 opposite the pressure-sensing port of the pressure sensor 331.

[0023] The microprocessor unit 32 is disposed on the flexible PCB board 31 and is used to receive and process the signal data collected by the sensing module.

[0024] An early warning module, disposed on the flexible PCB board 31 and electrically connected to the microprocessor unit 32, is used to make early warning judgments based on the signal data and execute corresponding early warning operations based on the judgment results. The early warning module includes a visual cue 341 and a tactile cue 342; the visual cue 341 and the tactile cue 342 are used to generate collaborative prompting modes according to different early warning levels.

[0025] The power module includes a power management unit mounted on the flexible PCB board 31 and a battery storage unit 351 connected to the power management unit via flexible wires, used to power the intelligent monitoring and early warning system. The battery storage unit 351 also has a Type-C charging port 353 for charging the battery within it. Furthermore, the battery mounting slot and early warning indicators (including a visual indicator 341 and a tactile indicator 342) are located on the outside of the face mask, and the battery is positioned within the battery storage unit 351.

[0026] In one specific implementation, the sensing module, the microprocessor unit 32, and the early warning module are connected in a star topology via a shared serial communication bus.

[0027] Based on the above technical solution, the following embodiments are provided.

[0028] In this embodiment, a specific application method combining flexible technology with a dustproof half-mask is proposed. Multiple sensors are integrated on the flexible PCB board 31 to monitor the internal environment of the mask and issue early warning signals when there is a risk. This effectively protects the safety of the workers while improving the comfort of the mask and minimizing the impact on normal operations.

[0029] like Figures 1-3 As shown, the smart dustproof half-face mask includes: The mask body 1 comprises an outer part 11 and an inner part 12, made of flexible, biocompatible silicone rubber or thermoplastic elastomer, and designed to form a sealed environment that conforms to the user's facial contours. The outer part 11, exposed to the working environment, is curved and has an interface for installing a filter module 2 for connecting a filter cotton 15. An exhalation valve 13 is located below this interface. The inner part 12 is the side that fits snugly against the user using a sealing ring 16 to form a breathing cavity. An air inlet 18 is located in this area, corresponding to the interface for installing the filter module 2 on the outer part 11. A bonding area for a flexible PCB board 31 is located on the inner surface, corresponding to the non-directly pressure-bearing area of ​​the user's cheek. This area is designed to ensure surface flatness and contour accuracy during injection molding or compression molding for subsequent direct bonding of the flexible PCB board 31. Neck and head straps 17 are included to secure the mask in place.

[0030] Filter module 2 is an independent and replaceable component. The core filter medium is filter cotton 15, which uses particulate filter material that meets national mandatory standards, preferably composite nanofiber material. Depending on the protection level requirements, KN90, KN95, or KN100 levels can be selected. An elastic sealing ring 16 is provided between the filter cotton 15 and the interface to ensure that all inhaled airflow passes through the filter material.

[0031] The intelligent monitoring and early warning system uses a flexible PCB board 31 as its physical carrier, integrating a microprocessor unit 32, a sensing module, an early warning module, and a power module. The flexible PCB board 31 is made of flexible substrates such as polyimide and is perfectly fitted to the bonding area inside the face mask 12 after irregular cutting. The layout on the board is optimized: the microprocessor unit 32 is located in the center of the board, and this area can be locally thickened or reinforced to protect the core chip; the sensing module, including a pressure sensor 331, a temperature and humidity sensor 332, and a micro dust sensor 333, is arranged along the edge of the board, ensuring that its sensing components are effectively exposed inside the face mask cavity; the tactile indicator 342 and visual indicator 341 of the early warning module are placed in easily perceptible locations on the outside 11 of the half-face mask. A battery storage unit 351 is located along the edge of the half-face mask and connected to the flexible PCB board 31 via a flexible cable, providing power to the entire flexible PCB board 31; the power management unit is located at the edge of the board; and a Type-C charging port 353 is located next to the battery storage unit 351.

[0032] The microprocessor unit 32 is a microcontroller with a smaller package and an ultra-low power processor core. It is electrically connected to the pressure sensor 331, the dust sensor and the early warning module through a shared serial communication bus in a star topology.

[0033] The microprocessor unit 32 functions to: a) filter the signal from the absolute pressure sensor 331, calculate the breathing rate, and analyze the changes in positive and negative pressure peaks; b) smooth the signal from the dust sensor, establish and maintain a dynamic baseline, and analyze the concentration change trend; c) read the calibrated digital signal from the temperature and humidity sensor 332 and compare it with a preset comfort threshold; d) comprehensively consider multiple parameters such as breathing resistance trend, dust concentration trend, temperature and humidity status, and breathing rate, and process the data according to preset logic (e.g., ...). Figure 4 (As shown) The driver warning module executes the corresponding prompts.

[0034] The pressure sensor 331 is a surface-mount packaged miniature MEMS digital sensor that achieves low power consumption, small size, digital output interface, and high resolution. Its measurement range covers the pressure fluctuation range that may be generated by breathing.

[0035] A micro-through hole is formed on the flexible PCB board 31, directly opposite the pressure-sensing port of the absolute pressure sensor 331. The diameter of this micro-through hole is, for example, 0.3 mm to 0.8 mm. When the flexible PCB board 31 is attached to the inner wall of the mask body, this micro-through hole directly communicates with the cavity 12 inside the mask, thereby enabling real-time and accurate capture of dynamic changes in intracavitary pressure caused by breathing and static pressure at rest. After the sensor is mounted, the hole is sealed from the back of the flexible PCB board 31 using a breathable medical-grade Gore-Tex film, ensuring pressure transmission while preventing water from entering the PCB interior 12.

[0036] This sensor has the following functions: 1) Predictive monitoring of filter cotton 15 blockage: as the dust holding capacity of filter cotton 15 increases, its airflow resistance shows a monotonically increasing trend. 2) Abnormal detection of exhalation valve 13 blockage: a normal exhalation valve 13 should ensure unobstructed exhalation. When the valve is blocked due to contamination, the exhalation resistance will increase abnormally.

[0037] In use, the microprocessor unit 32 acquires the signal output by the absolute pressure sensor 331 at a fixed sampling frequency, such as 100Hz, and then performs digital signal processing. First, a digital high-pass filter processes the raw signal. The normal respiratory rate for adults is 12-30 breaths / minute, while the respiratory rate during rapid breathing may rise to 40-60 breaths / minute. Therefore, the passband frequency range of the filter is set to 0.1Hz to 2.0Hz. This range aims to retain the frequency components of normal to rapid breathing (6-120 breaths / minute) while filtering out low-frequency ambient atmospheric pressure drift and high-frequency electrical noise, thereby extracting a clean, dynamic respiratory pressure waveform synchronized with the respiratory cycle. By identifying the periodic peaks and troughs of the dynamic respiratory pressure waveform, continuous respiratory cycles are automatically segmented. The number of respiratory cycles per unit time is calculated to obtain the real-time respiratory rate. When the respiratory rate increases to 30 breaths / minute or higher, it indicates an accelerated respiratory rate, and the user's condition is determined based on the respiratory rate. Within each respiratory cycle, the negative portion of the waveform is identified as the inspiratory phase, and the positive portion as the expiratory phase. The peak negative pressure during the inspiratory phase and the peak positive pressure during the expiratory phase are recorded. Taking the KN95 filter material specified in GB2626-2019 as an example, the peak negative pressure threshold is set to 250 Pa, and the peak positive pressure threshold is set to 100 Pa. The peak value changes are continuously tracked over multiple respiratory cycles. If the peak negative pressure shows a continuous and significant upward trend, and the respiratory rate increases, it indicates that the filter 15 of the mask is at risk of failure. If the peak positive pressure shows a continuous and significant upward trend, and the respiratory rate increases, it indicates that the exhalation valve 13 of the mask is at risk of blockage.

[0038] The temperature and humidity sensor 332 integrates a temperature-sensitive element and a capacitive humidity-sensitive element, directly outputting calibrated digital signals of temperature and relative humidity. Its core function is to quantitatively assess the heat and humidity load inside the face mask 12. Based on physiology, the comfortable temperature range for the human face is 16-32℃, and the relative humidity is 30-60%. Based on this, the temperature threshold range is 32-35℃, and the relative humidity threshold range is 75-80%. Preferably, the temperature threshold is set to 35℃, and the relative humidity is set to 75%. When the microprocessor unit 32 determines that the temperature and humidity exceed the preset comfort thresholds, it will trigger an alarm, thereby helping users manage their wearing experience and increasing their willingness to wear the protective equipment for extended periods. Furthermore, this data can also provide environmental parameter compensation for readings from other sensors, further improving the overall reliability of the system data.

[0039] The miniature dust sensor 333 is a MEMS particulate sensor based on the principle of laser scattering. Internally, it integrates a laser diode, photodetector, and signal processing circuitry, directly outputting a digital signal related to particulate matter concentration. The sensor uses a surface-mount package, directly soldered onto a flexible PCB board 31, with the sensing port directly facing the inner cavity of the face mask through an opening on the board. Its function is to record the dust concentration inside the face mask in real time. However, due to the humid and hot environment inside the face mask, it is impossible to accurately measure the absolute mass concentration of the dust. This solution focuses on the changing trend of the dust concentration. When the system confirms that the filter cotton 15 is new and properly sealed, the microprocessor unit 32 records the sensor's output value within a preset time and calculates a characteristic value, preferably an average value, which is set as the baseline. In subsequent use, the microprocessor unit 32 does not primarily focus on the instantaneous absolute value of the output, but continuously analyzes the changing trend of its real-time data relative to this baseline. A concentration increase exceeding 30%-50% within a short period (e.g., 1 minute) is considered abnormal. This trend signal will be fused with the breathing resistance trend signal from the pressure sensor 331. A single dust rising trend may be caused by interference such as a brief leak, but if the breathing resistance trend and the dust rising trend occur simultaneously, the system can determine that the filter cotton 15 of the mask has failed and trigger an alarm in conjunction with the early warning module.

[0040] The early warning module, considering the complexity of the environment and visual obstructions, employs a multimodal collaborative mechanism to ensure that early warning signals can be perceived. It includes a tactile cue 342 and a visual cue 341, all directly integrated into the exterior 11 of the half-mask and connected to the microprocessor unit 32 via flexible wires. The microprocessor unit 32 directly controls these cue units through a drive circuit. Based on different early warning levels output by the algorithm, the microprocessor unit 32 drives the cue units to execute preset, unique collaborative modes, enabling the user to quickly perceive the warning.

[0041] The tactile alert 342 is a miniature vibration motor. The motor operates in two modes: low frequency and high frequency, corresponding to different warning levels.

[0042] The visual cue 341 is a multi-color LED indicator that displays red, orange, yellow, and blue.

[0043] In this embodiment, an auditory miniature buzzer is also provided on the mask for auxiliary prompting.

[0044] The power module includes a battery storage unit 351 and a battery management unit 352.

[0045] The battery storage unit 351 is a miniature rechargeable lithium polymer battery, independent of the flexible PCB board 31, and is located outside the mask body 1. It is connected to the flexible PCB board 31 through a bend-resistant flexible wire.

[0046] The power management unit employs a highly integrated power management integrated circuit chip. The power management unit includes a charging management circuit and a voltage regulator circuit, with its charging interface located on the main body 1 as a Type-C charging port 353. This circuit is responsible for safely charging the battery from an external power source in constant current or constant voltage mode, and provides overcharge, over-discharge, overcurrent, and short-circuit protection. When the multi-channel voltage regulator circuit within the power management unit starts operating, it converts the battery voltage into stable, clean DC power at different voltage levels required by various modules of the system. These power supplies are provided to the microprocessor unit 32, each sensing unit, and the warning unit respectively through a power distribution network designed on the flexible PCB board 31.

[0047] The warning module divides the warning levels into three levels: 1) Level 1 Warning: Comfort Warning. When the temperature and humidity inside the mask exceed the set thresholds, the environment becomes stuffy and uncomfortable for the user. Specifically, a blue LED will be triggered when the temperature exceeds the threshold; a yellow LED will be triggered when the humidity exceeds the threshold; and when both temperature and humidity exceed the thresholds, the blue and yellow LEDs will flash alternately. The LEDs alert the user to changes in the mask's environment, allowing them to plan appropriate rest. 2) Level 2 Warning: Exhalation Valve 13 Blockage. When the positive pressure peak exceeds the threshold, or when it does not exceed the threshold but the respiratory rate increases significantly, and the positive pressure peak shows a continuous and significant upward trend, an orange LED and low-frequency vibration will be triggered to remind the user to check the condition of the mask's exhalation valve 13. 3) Level 3 Warning: Filter Cotton 15 Failure Warning. When the negative pressure peak exceeds the threshold, or when it does not exceed the threshold, and abnormal data synchronization from multiple sensors is detected (i.e., increased respiratory rate, a continuous and significant upward trend in the negative pressure peak, and the dust concentration inside the mask also showing the same trend), a red LED and high-frequency vibrating motor will be triggered to remind the user that filter cotton 15 has failed and needs replacement.

[0048] This invention uses a flexible PCB board 31 to integrate various sensing modules and processing and early warning modules, which are set inside the mask 12. The environment inside the mask can be monitored without affecting the personnel's vision and operation, and the comfort level is higher than that of a dustproof half mask with rigid sensors.

[0049] This invention establishes a clear, tiered early warning system and accurately conveys information through multi-color lighting and differentiated vibration modes. Simultaneously, the system continuously monitors respiratory rate and microenvironmental comfort, providing users with comprehensive feedback on respiratory safety and physiological workload, demonstrating a high degree of intelligence.

[0050] Furthermore, the present invention also provides such a Figure 4 The warning method shown, applied to the smart dustproof half-face mask as described above, includes: The sensor integrated on the flexible PCB board collects signal data inside the mask in real time; the signal data includes temperature and humidity signals, breathing pressure signals, and dust concentration signals.

[0051] The respiratory pressure signal is filtered to extract the respiratory frequency and determine the positive and negative pressure peaks. Based on these peaks, the respiratory resistance trend over a set time period is determined. The filtering process employs a digital high-pass filter with a passband frequency of 0.1Hz to 2.0Hz to remove environmental noise and extract the dynamic respiratory signal. The dust concentration signal is smoothed to establish and maintain a dynamic baseline, and the concentration change trend is determined.

[0052] Based on the breathing resistance trend, the concentration change trend, and the temperature and humidity signals, a multi-parameter fusion logic judgment is performed, and the warning level is determined according to the judgment result, and the corresponding warning command is triggered.

[0053] The visual and tactile prompts are controlled to perform corresponding warning operations according to the warning instructions.

[0054] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0055] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the core ideas of the present invention. Furthermore, those skilled in the art will recognize that, based on the ideas of the present invention, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A smart dustproof half-face mask based on a flexible sensing multi-information early warning system, characterized in that, include: The main body of the mask is made of flexible material and has an inner side that conforms to the contours of the user's face to form an internal breathing cavity and an outer side exposed to the external environment; wherein, the inner side is provided with an elastic sealing edge for conforming to the face to form a breathing cavity and is provided with a flexible PCB board bonding area; the outer side is provided with a battery mounting slot, a filter module and an exhalation valve. The filter module is detachably connected to the interface on the outside of the mask body, including filter cotton for filtering particulate matter in the air and a sealing ring between the filter cotton and the interface. Intelligent monitoring and early warning system, including: A flexible PCB board is fixedly connected to the flexible PCB board bonding area on the inner side of the mask body; The sensing module, mounted on the flexible PCB board, includes a temperature and humidity sensor for monitoring the temperature and humidity inside the mask, a miniature dust sensor for monitoring the dust concentration inside the mask, and a pressure sensor for monitoring the breathing state; wherein, the pressure sensor is in fluid communication with the breathing cavity through a through hole opened on the flexible PCB board. A microprocessor unit, disposed on the flexible PCB board, is used to receive and process the signal data collected by the sensing module; The early warning module is located on the outside of the mask and is electrically connected to the microprocessor unit on the flexible PCB board. It is used to make early warning judgments based on the signal data and to execute corresponding early warning operations based on the judgment results. The power module includes a power management unit disposed on the flexible PCB board and a battery storage unit connected to the power management unit via flexible wires, for supplying power to the intelligent monitoring and early warning system.

2. The intelligent dustproof half-face mask based on a flexible sensing multi-information early warning system according to claim 1, characterized in that, The early warning module includes a visual cue and a tactile cue; the visual cue and the tactile cue are used to generate collaborative cue modes according to different early warning levels.

3. The intelligent dustproof half-face mask based on a flexible sensing multi-information early warning system according to claim 1, characterized in that, The sensing module, the microprocessor unit, and the early warning module are connected in a star topology via a shared serial communication bus.

4. The intelligent dustproof half-face mask based on a flexible sensing multi-information early warning system according to claim 1, characterized in that, The mask body is also provided with a mask strap for fixing the mask body to the user's face.

5. The intelligent dustproof half-face mask based on a flexible sensing multi-information early warning system according to claim 1, characterized in that, The battery storage unit is also equipped with a Type-C charging port for charging the battery inside the battery storage unit.

6. The intelligent dustproof half-face mask based on a flexible sensing multi-information early warning system according to claim 1, characterized in that, A micro-through hole is provided on the flexible PCB board at the pressure-sensing port of the pressure sensor; the diameter of the micro-through hole is 0.3 mm to 0.8 mm.

7. An early warning method, applied to an intelligent dustproof half-face mask as described in any one of claims 1-6, characterized in that, include: The sensor integrated on the flexible PCB board collects signal data inside the mask in real time; the signal data includes temperature and humidity signals, breathing pressure signals, and dust concentration signals. The respiratory pressure signal is filtered to extract the respiratory rate and determine the positive and negative pressure peaks. The respiratory resistance trend within a set time period is determined based on the positive and negative pressure peaks. The dust concentration signal is smoothed to establish and maintain a dynamic baseline and determine the concentration change trend. Based on the breathing resistance trend, the concentration change trend, and the temperature and humidity signals, a multi-parameter fusion logic judgment is performed, and the warning level is determined and the corresponding warning command is triggered according to the judgment result; The visual and tactile prompts are controlled to perform corresponding warning operations according to the warning instructions.

8. The early warning method according to claim 7, characterized in that, The filtering process employs a digital high-pass filter with a passband frequency of 0.1Hz to 2.0Hz to filter out environmental noise and extract respiratory dynamic signals.

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