A medical and nursing cabin sealing detection method based on pressure detection

Abstract

The application relates to the technical field of pressure detection, and particularly discloses a medical care cabin sealing property detection method based on pressure detection, which comprises the following steps: periodically acquiring the air pressure at a preset position inside the medical care cabin, setting a qualified section according to the air pressure change, and drawing an air pressure reference curve according to the air pressure in the qualified section; emitting a micro-pressure wave to the inside of the medical care cabin based on a flexible gas storage bag installed on the inner side of a gate; acquiring a propagation curve of the micro-pressure wave based on a pre-constructed monitoring point array and the air pressure reference curve f1 of the last time before the micro-pressure wave is emitted; subtracting the propagation curve from a preset standard curve to obtain a target curve, wherein the standard curve is the propagation curve of the micro-pressure wave when the gate and the internal equipment of the medical care cabin are kept closed; setting a safety range of the air pressure change inside the medical care cabin, and determining that the sealing property of the medical care cabin is high when the target curve does not exceed the safety range. The application can make up for the deficiency of traditional static detection and guarantee the use safety.

Description

Technical Field

[0001] This invention relates to the field of pressure detection technology, and more specifically to a method for detecting the airtightness of a medical and nursing cabin based on pressure detection. Background Technology

[0002] The intelligent medical and elderly care cabin is a closed cabin system that integrates medical monitoring, maintenance and regulation, and intelligent control. It is designed to safeguard the health and work efficiency of personnel in extreme environments such as high altitudes. It monitors key environmental parameters such as oxygen concentration, air pressure, temperature, and humidity in real time through multi-channel sensors, and automatically adjusts the oxygen supply, cabin pressure, and temperature and humidity based on intelligent algorithms.

[0003] Traditional pressure testing is typically conducted under static conditions (no personnel, no equipment operation). However, in actual use, medical and nursing care cabins experience pressure fluctuations, vibrations, and dynamic deformation of door seals due to personnel entering and exiting (door opening and closing) and equipment operation (such as fans and pumps). These factors can induce or exacerbate leaks, and static testing cannot capture these dynamic effects. Summary of the Invention

[0004] The purpose of this invention is to provide a method for testing the sealing performance of medical and nursing cabins based on pressure detection, thereby solving the aforementioned technical problems.

[0005] The objective of this invention can be achieved through the following technical solutions:

[0006] A method for testing the airtightness of a medical and elderly care cabin based on pressure detection includes the following steps:

[0007] When the door and internal equipment of the medical and elderly care cabin are kept closed, the air pressure at a preset position inside the medical and elderly care cabin is periodically acquired, and a qualified range is set according to the changes in air pressure. An air pressure reference curve is plotted based on the air pressure within the qualified range.

[0008] When the opening of the medical care cabin door and / or the start of the internal equipment are detected, a micro-pressure wave is emitted into the medical care cabin based on the flexible air storage bladder installed on the inside of the door. The propagation curve of the micro-pressure wave is obtained based on the pre-constructed monitoring point array and the most recent air pressure reference curve f1 before the micro-pressure wave is emitted.

[0009] Subtract the propagation curve from the preset standard curve to obtain the target curve. The standard curve is the propagation curve of the micropressure wave when the door and internal equipment of the medical and nursing cabin are kept closed.

[0010] A safe range for air pressure changes inside the medical and elderly care cabin is set. When no target curve exceeds the safe range, the airtightness of the medical and elderly care cabin is determined to be high.

[0011] As a further aspect of the present invention: plotting the air pressure reference curve includes:

[0012] Each time a new air pressure is acquired, the n most recently acquired air pressures are sorted in chronological order, where n is a preset number.

[0013] Calculate the difference C1 between the air pressure at the first position and the air pressure at the last position in the sorting, and calculate the first slope X1=C1 / (t(n-1)), where t represents the time interval between two consecutive air pressure measurements.

[0014] Calculate the pressure difference C2 between two adjacent sorting positions in the sorting process, divide the difference C2 by t to obtain the adjacent slope, and calculate the average adjacent slope to obtain the second slope X2.

[0015] like If the latest obtained air pressure is recorded as the qualified air pressure, η is the preset correction coefficient and η>1;

[0016] After obtaining n qualified air pressures consecutively, the time period between the time point t1 corresponding to the first qualified air pressure and the time point t2 corresponding to the nth qualified air pressure is taken as the qualified segment.

[0017] Generate coordinate points (ti, Di), where ti represents the time point corresponding to the i-th qualified air pressure and Di represents the i-th qualified air pressure. Fit the coordinate points to obtain the air pressure reference curve.

[0018] As a further aspect of the present invention: constructing a monitoring point array includes:

[0019] Obtain the center of the medical and elderly care cabin and establish a spatial rectangular coordinate system with the center origin;

[0020] Monitoring points are set at preset distance intervals at symmetrical positions on both sides of the origin along each coordinate axis of the spatial rectangular coordinate system to obtain a monitoring point array.

[0021] As a further aspect of the present invention: obtaining the propagation curve of the micro-pressure wave includes:

[0022] Two monitoring points at symmetrical positions are obtained and marked as A1 and A2 respectively. Starting from the time point of micro-pressure wave transmission, several time points are set at preset time intervals.

[0023] At a single time point, the air pressure at monitoring point A1 and monitoring point A2 are respectively taken as the first air pressure and the second air pressure; the corresponding time points are substituted into curve f1 to obtain the predicted static air pressure;

[0024] Subtract the predicted static pressure from the first and second atmospheric pressures respectively to obtain the first pressure difference and the second pressure difference. Calculate the difference between the first and second pressure differences as the target pressure difference.

[0025] Generate coordinate points (Tk, Mk), where Tk represents time point k and Mk represents the target pressure difference corresponding to time point k. Connect two adjacent coordinate points with a straight line to obtain a line graph, which serves as a propagation curve for the micropressure wave.

[0026] As a further aspect of the present invention: when the target curve exceeds the safe range, the airtightness of the medical and nursing cabin is determined to be low.

[0027] As a further aspect of the present invention: after determining that the airtightness of the medical and elderly care cabin is low, the following steps are also included:

[0028] The target line that exceeds the safe range is taken as the abnormal line. The timestamp corresponding to the intersection of the abnormal line and the safe range is obtained. The timestamps are grouped. If the pressure of the next point on the abnormal curve that is adjacent to the point on the abnormal curve corresponding to the timestamp is greater than the upper limit of the safe range, it is taken as the positive group; if the pressure of the next point on the abnormal curve that is adjacent to the point on the abnormal curve corresponding to the timestamp is less than the lower limit of the safe range, it is taken as the negative group.

[0029] The abnormal situations and their locations are determined based on the positive and negative groups. The abnormal situations include gas leaks inside the medical and nursing cabin and gas backflow outside the medical and nursing cabin.

[0030] As a further aspect of the present invention: determining the abnormal situation and its location includes:

[0031] In the positive group, the timestamps are sorted according to the time axis order. If the difference between the first and second timestamps in the sort is less than a preset value, the monitoring points S1 and S2 corresponding to the first and second timestamps in the sort are obtained.

[0032] Starting from S2, draw a ray pointing towards S1. The ray intersects the medical and nursing cabin at point P1. Send a prompt message to the preset management personnel prompt point P1 that there is an abnormality, and the abnormality is gas leakage inside the medical and nursing cabin.

[0033] In the negative group, the timestamps are sorted according to the time axis order. If the difference between the first and second timestamps in the sort is less than a preset value, the monitoring points S3 and S4 corresponding to the first and second timestamps in the sort are obtained.

[0034] Starting from S3, draw a ray pointing towards S4. The ray intersects the medical and nursing cabin at point P2. Send a prompt message to the preset management personnel prompting point P2 that there is an abnormality, and the abnormality is that the external gas of the medical and nursing cabin is flowing back.

[0035] The beneficial effects of this invention compared to the prior art are as follows:

[0036] 1. By updating the static air pressure reference curve in real time when the hatch and equipment are closed, and actively emitting micro-pressure waves at the moment of personnel entry or exit or equipment startup, this invention can capture minute leakage signals caused by factors such as door seal deformation and vibration superposition in dynamic working conditions, avoiding the blind spot of "test qualified, use leak" in traditional static testing methods, and realizing real-time, full-process online evaluation of the airtightness of medical and nursing cabins.

[0037] 2. By using a symmetrical monitoring point array to synchronously collect the micro-pressure wave propagation pressure difference in three-dimensional space, this invention achieves accurate separation of normal airflow disturbances and abnormal leakage events by subtracting the real-time propagation curve from the standard curve and setting a safe range. Based on the dynamic judgment of high and low deviation directions, the method can effectively filter short-period noise such as personnel breathing and equipment periodic vibration, significantly reduce the probability of false alarms and missed alarms, and provide medical staff with a stable and reliable indication of the sealing status.

[0038] 3. When the target curve is detected to exceed the safe range, the abnormal line is extracted, and the pressure change direction before and after the intersection point is divided into positive and negative groups. The spatial location of the leak or backflow is calculated by using ray calculations from the two monitoring points that are triggered first in each pair. This invention can quickly distinguish between internal leakage and external backflow without disassembly and inspection, and accurately marks the suspected fault point on the cabin wall, making it easier for maintenance personnel to reinforce or replace the seals, shorten downtime, and improve the reliability of continuous operation of the medical and nursing cabin. Attached Figure Description

[0039] The invention will now be further described with reference to the accompanying drawings.

[0040] Figure 1 This is a schematic flowchart of a pressure detection-based method for testing the sealing performance of a medical and nursing cabin according to the present invention. Detailed Implementation

[0041] 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.

[0042] Please see Figure 1 As shown, this invention is a method for testing the airtightness of a medical and elderly care cabin based on pressure detection, comprising the following steps:

[0043] Step 1: Set the qualified range according to the air pressure changes at the preset location, and draw the air pressure reference curve according to the air pressure within the qualified range;

[0044] In a preferred embodiment of the present invention, plotting a pressure reference curve includes:

[0045] With the medical and elderly care cabin doors closed and all equipment shut down, pressure values ​​were read at five measuring points: the geometric center of the cabin, the inside of the cabin door seal, in front of the air outlet of the blower, the center of the top of the cabin, and the center of the bottom of the cabin. The average of these five readings was taken as a representative pressure.

[0046] Whenever a new representative pressure is generated, the system puts it into a historical queue that slides in chronological order. It uses the difference between the first and last parts to observe the overall change and the difference between adjacent parts to observe the local fluctuations. Then, it compares the magnitude of the overall change with the local fluctuations: if the overall change does not exceed the threshold of the local fluctuations being appropriately amplified (i.e., multiplied by η), it is considered that the pressure inside the cabin is stable at this time, and this reading is recorded as qualified. When the qualified readings in the queue continuously fill the entire sliding window, it indicates that the entire period of time is in a quiet and stable state, and this period of time is marked as the static and stable interval.

[0047] The reason for comparing the overall change amplitude with the local fluctuation amplitude to determine the "stable" state is that, in a scenario where the medical and nursing cabin doors are closed and the equipment is shut down, the only factor truly affecting the pressure baseline is the slow drift of the environment, while short-term measurement noise will appear as subtle up-and-down fluctuations. If several sampling points are placed in a sliding window in chronological order, the area between the beginning and end of the window reflects the overall trend over that period, while the difference between adjacent points within the window represents instantaneous fluctuations. Under normal static stability, the amplitudes of the two are similar, and the overall trend will not be much greater than the local fluctuations; once a leak, ventilation, or rapid temperature change occurs, the overall trend will quickly widen the gap, exceeding the amplified fluctuation range. Based on this comparison, occasional noise can be eliminated, and the baseline is updated only when the environment is truly stable. Furthermore, because there may be height differences and local residual pressure in different locations within the cabin, taking values ​​from several key measuring points simultaneously and averaging them can cancel out local anomalies, obtaining a representative value that is close to the overall true state. Only when the representative values ​​of several consecutive times meet the stationarity condition is this entire period of time identified as the static and stable interval and the baseline curve is fitted accordingly. This avoids the mistaken inclusion of instantaneous fluctuations in the model and allows for slow follow-up as the season or air conditioning status changes, ensuring that subsequent micro-pressure wave detection always refers to the latest and most reliable zero baseline, thereby reducing false alarms and missed alarms from the source.

[0048] Using all moments during the stable period and their corresponding representative pressures as coordinates, a smooth pressure reference curve is plotted using the least squares fitting method. This curve integrates pressure information from five directions into a unified reference surface, which not only smooths out local deviations but also automatically updates as the environment slowly drifts.

[0049] This approach allows subsequent micro-pressure wave detection to directly compare against the same baseline, avoiding misjudgments caused by single-point failures and occasional disturbances, eliminating the complexity of maintaining a separate model for each sensor, and automatically correcting the zero point when temperature and humidity change over a long period of time. Ultimately, it lays a reliable reference for the rapid and accurate identification of leaks and backflows.

[0050] Step 2: When the opening of the medical care cabin door and / or the start of the internal equipment are detected, a micro-pressure wave is emitted into the medical care cabin based on the flexible air storage bag installed on the inside of the door. The propagation curve of the micro-pressure wave is obtained based on the pre-constructed monitoring point array and the most recent air pressure reference curve f1 before the micro-pressure wave is emitted.

[0051] In one specific embodiment, when the door magnetic and current detection elements of the medical and elderly care cabin confirm that the door lock has been released or the equipment motor has entered the start position, the control logic sends an action command to the flexible air-storage bladder installed inside the cabin door. This air-storage bladder is a thin-walled silicone gas bag that normally relies on external air to maintain normal pressure inflation. A micro-stroke push plate is attached tightly to the rear of the bladder, and the push plate is pulled by a short-stroke electromagnetic actuator. Upon receiving the command, the actuator instantly pushes the push plate inwards towards the bladder, compressing its volume in a very short time. The internal air is rapidly expelled through the perforated nozzle at the front of the bladder, forming a low-amplitude, instantaneous pressure front radiating into the cabin. The leading edge is what is known as the micro-pressure wave. It is called a micro-pressure wave because its peak pressure is only slightly higher than the current static pressure inside the cabin, which will not cause discomfort to the eardrums of personnel or trigger the equipment's protection switch, but is high enough to be reliably captured by the monitoring point. This wave conforms to the weak disturbance approximation in acoustics. The wavefront shape is hemispherical in the near field. During propagation, the energy diffuses rapidly with distance and attenuates, so it will not exert thrust on objects inside the cabin. The waveform duration is extremely short. After being reflected by the cabin and dissipated through gaps, it quickly returns to the reference pressure. It waits for this attenuation process to end before allowing the next triggering, so as not to allow residual waves to interfere with subsequent detection.

[0052] In a preferred embodiment of the present invention, constructing a monitoring point array includes:

[0053] Obtain the center of the medical and elderly care cabin and establish a spatial rectangular coordinate system with the center origin;

[0054] Monitoring points are set at preset distance intervals at symmetrical positions on both sides of the origin along each coordinate axis of the spatial rectangular coordinate system to obtain a monitoring point array.

[0055] In a preferred embodiment of this invention, obtaining the propagation curve of the micro-pressure wave includes:

[0056] In the cabin coordinate system, select a pair of monitoring points that are completely symmetrical in spatial position. Take the point closer to the door as the first measuring point and the point located on the opposite side of the cabin wall as the second measuring point. From this instant, continuously generate a time scale according to a pre-set and constant time interval.

[0057] At each sampling moment, the system synchronously reads the real-time air pressure of the first and second measuring points, then substitutes the current moment into the static reference curve to obtain the corresponding theoretical static air pressure, subtracts this static value from the two measured air pressures respectively, and obtains two pressure difference signals containing only dynamic components. Then, the difference of the first measuring point is subtracted from the difference of the second measuring point to form a target difference value that only reflects the unevenness of the wavefront propagation along the axis of symmetry.

[0058] The time scale and the target difference are combined into a coordinate point, and the same steps are repeated for the next sampling time to accumulate a series of coherent coordinates on the time axis. Finally, these coordinates are connected in sequence with a broken line. The whole broken line intuitively shows the propagation and attenuation process of the micro-pressure wave in this symmetrical direction. Because the static reference curve has eliminated the slow background drift, and the two-point difference cancels out the overall uniform disturbance, any significant deviation of the broken line can be directly attributed to the influence of local pressure relief or backflow channel on the waveform.

[0059] Step 3: Subtract the propagation curve from the preset standard curve to obtain the target curve. The standard curve is the propagation curve of the micropressure wave when the door and internal equipment of the medical and nursing cabin are kept closed.

[0060] In one specific embodiment, after the medical and nursing cabin completes static calibration, the micro-pressure wave propagation curve collected under the condition of closed cabin door and equipment shutdown is permanently saved as a static standard curve; when someone enters or exits or the equipment is started and triggers a new micro-pressure wave, each time scale on the current real-time propagation curve is first aligned with the same scale on the static standard curve. If the sampling beats of the two curves do not completely overlap, linear interpolation is used to fill the gap on the static curve so that the two curves correspond one-to-one at all times.

[0061] Take out each pair of aligned ordinates in sequence, subtract the static standard value from the real-time propagation value, and write the difference into a new sequence. The broken line formed by connecting this sequence on the time axis is the target curve.

[0062] Since the static standard curve represents the natural decay of the wavefront with distance and time under ideal sealing conditions, while the real-time propagation curve includes additional losses or gains such as seal deformation, door gap leakage, and air backflow, subtracting the two can isolate these abnormal effects. When the target curve is above the zero line, it can be regarded as the wave energy being reflected or the external air backflow causing a local pressure increase. When it is below the zero line, it can be regarded as the wave energy being lost along the leakage channel, resulting in accelerated decay. This differential method not only preserves the time topology of the waveform, but also completely cancels out the part that is consistent with the ideal state, so that the traces of small pressure leakage or backflow are clearly visible on the graph paper.

[0063] It is important to note that this is actually done in two "zeroing" steps. The purpose is to remove the two quantities that should exist, namely slow background drift and ideal dynamic response, and leave only the "small extra change that should not exist but appears due to leakage or backflow" in the last image.

[0064] The first step, subtracting the static background from the pressure baseline curve, involves factors such as temperature changes, cabin expansion, and residual pressure in the air pump. These factors cause the overall pressure to rise or fall slowly over a period of minutes to tens of minutes. While these changes are unrelated to the emitted micro-pressure wave, they superimpose a slow slope onto the sensor readings. If the baseline curve is not subtracted first, the waveform observed later will be skewed by this slope, making it difficult to interpret. Therefore, by removing the static baseline, only the amplitude difference of the "wave itself" at two symmetrical points remains—this is the propagation curve.

[0065] The second step, subtracting the propagation curve from the pre-saved standard curve, is to eliminate the inherent shape of the wave under ideal sealing conditions. Even without any leakage, the micro-pressure wave in a sealed chamber will naturally attenuate due to distance, reflection, and wall energy absorption, and the difference between the two measurements will present a fixed template. This template is called the standard curve, representing the dynamic fingerprint of the "healthy chamber." Subtracting it from the real-time propagation curve is equivalent to resetting the inherent attenuation trend to zero. As long as there are no abnormalities in the chamber, the old and new curves will almost overlap, and the difference will be close to zero. Once the door seal is loose or there is a gap, the wave energy will leak out or be pushed back by the outside air, the two curves will fork, and the difference will immediately become apparent.

[0066] Step 4: Set a safe range for air pressure changes inside the medical and elderly care cabin. When no target curve exceeds the safe range, the cabin is considered to have high sealing performance.

[0067] It should be noted that, in determining the safe range of pressure changes inside the chamber, a long period of static stability was first selected at night when no personnel entered or exited and all equipment was shut down. The static pressure trajectory was continuously recorded and synthesized as a zero reference. Then, multiple rounds of simulation operations were arranged. In each round, one staff member first completed a full opening and closing operation at a normal pace. Then, the main equipment such as the blower and circulating pump were started in sequence until the operation was stable and then shut down in sequence. During this period, the pressure of all monitoring points inside the chamber was continuously collected and the zero reference was subtracted in real time to obtain a pure dynamic curve.

[0068] For each curve generated by opening and closing the door, extract the complete oscillation segment between the door lock being released and the door gap being completely reset, extract the peak-to-valley difference, and sort the data from multiple rounds in ascending order. The majority of values ​​in the first segment (e.g., 80%) are considered to be normal amplitude.

[0069] For each curve generated by equipment operation, locate the platform section before and after the motor reaches its rated speed, extract the upper and lower envelopes of continuous vibration, and sort them in the same way.

[0070] Next, the larger of the two normal amplitudes is taken as the upper limit, and the smaller of the two normal amplitudes is taken in reverse as the lower limit, so that the upper and lower limits can accommodate both the instantaneous positive pressure caused by the door's inertia and the instantaneous negative pressure brought by the fan's suction.

[0071] The obtained upper and lower limits are slowly drifted with temperature and humidity and superimposed on the zero reference to form a guardrail that moves slowly over time. This guardrail is defined as the safe range. Any subsequent test is considered to be under control as long as the target curve always falls between the guardrail. Otherwise, a leakage or backflow judgment is immediately triggered.

[0072] It should be noted that when the target curve exceeds the safe range, the airtightness of the medical and nursing cabin is judged to be low.

[0073] Understandably, the entire trajectory of the target curve that falls outside the safe range is saved separately. This trajectory is referred to as the anomaly line in the following description. The time is recorded at each intersection of the anomaly line and the upper or lower limit of the safety range, and these time points are collectively referred to as time scales.

[0074] For each time marker, check the pressure value of the next frame immediately following it; if this frame is still above the safety limit, the corresponding time marker is classified into the positive group, because the continued high pressure indicates that gas is leaking out of the cabin; if this frame is still below the safety limit, the time marker is classified into the negative group, because the continued low pressure indicates that external gas is being drawn into the cabin.

[0075] The positive and negative groups were sorted according to their time sequence; in the sorting results, the two earliest time markers represent two monitoring points that were touched by the wavefront almost simultaneously.

[0076] For the positive group, take the monitoring point corresponding to the slightly later time mark as the starting point and the monitoring point corresponding to the slightly earlier time mark as the direction of the arrow, and draw a ray in the three-dimensional coordinates; the intersection of this ray and the bulkhead is the most likely leak point. Convert this spatial location into a text prompt such as "near the upper right side of the door lock" and send it to the duty personnel.

[0077] For the negative group, the operation is exactly the same, except that the prompt will explain that this is external gas backflow and mark the intersection of the rays as the suspected backflow inlet;

[0078] The principle is that the order in which the wavefront touches the monitoring points during its propagation in space naturally carries directional information; by using the direction of pressure change in the frame after the intersection as a positive or negative filter, high-pressure leakage and low-pressure backflow can be clearly distinguished; and by using the two earliest triggered monitoring points to determine the ray, the fault location can be quickly converged without building a complex cabin model, thereby guiding personnel to conduct precise repairs without having to check all sealing surfaces one by one.

[0079] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the present invention should still fall within the scope of the present invention.

Claims

1. A pressure detection-based medical care cabin sealing detection method, characterized in that, The method comprises the following steps: Periodically acquire the air pressure at a preset position inside the medical care cabin when the door and internal equipment of the medical care cabin remain closed, set a qualified section according to the change of the air pressure, and draw an air pressure reference curve according to the air pressure in the qualified section; When it is detected that the door of the medical care cabin is opened and / or the internal equipment is started, emit a micro-pressure wave to the inside of the medical care cabin based on the flexible air storage bag installed on the inner side of the door, and acquire a propagation curve of the micro-pressure wave based on the array of monitoring points and the latest air pressure reference curve f1 before the micro-pressure wave is emitted; Subtract the propagation curve from a preset standard curve to obtain a target curve, and the standard curve is the propagation curve of the micro-pressure wave when the door and internal equipment of the medical care cabin remain closed; Set a safety range of the air pressure change inside the medical care cabin, and determine that the sealing property of the medical care cabin is high when there is no target curve beyond the safety range. Drawing the air pressure reference curve comprises: Sort the latest n air pressures in the order of time axis after each new air pressure is acquired, n being a preset number; Calculate the difference C1 between the first air pressure and the last air pressure in the order, and calculate the first slope X1=C1 / (t(n-1)), t representing the time interval between the acquisition of adjacent air pressures; Calculate the difference C2 between the air pressures at adjacent two sorting positions, divide the difference C2 by t to obtain the adjacent slope, and calculate the average adjacent slope to obtain the second slope X2; If the latest acquired air pressure is recorded as the qualified air pressure, η is a preset correction coefficient and η>1; When n qualified air pressures are continuously acquired, set the time period between the time point t1 corresponding to the first qualified air pressure and the time point t2 corresponding to the nth qualified air pressure as the qualified section; Generate the coordinate point (ti, Di), ti representing the time point corresponding to the ith qualified air pressure, and Di representing the ith qualified air pressure, and fit the coordinate points to obtain the air pressure reference curve.

2. The medical care cabin sealing detection method based on pressure detection according to claim 1, characterized in that, Constructing the array of monitoring points comprises: Acquire the center of the medical care cabin, and establish a space rectangular coordinate system with the center origin point; Set the monitoring points at a preset distance interval on the symmetric positions on both sides of each coordinate axis of the space rectangular coordinate system to obtain the array of monitoring points.

3. The medical care cabin sealing detection method based on pressure detection according to claim 2, characterized in that, Acquiring the propagation curve of the micro-pressure wave comprises: Acquire two monitoring points on the symmetric positions and mark them as A1 and A2 respectively, and set a plurality of time points at a preset time interval from the time point of emitting the micro-pressure wave; At a single time point, take the air pressures of the monitoring points A1 and A2 as the first air pressure and the second air pressure respectively, and substitute the corresponding time point into the curve f1 to obtain the predicted static air pressure; Subtract the predicted static air pressure from the first air pressure and the second air pressure respectively to obtain the first pressure difference and the second pressure difference, calculate the difference between the first pressure difference and the second pressure difference as the target pressure difference; Generate the coordinate point (Tk, Mk), Tk representing the time point k, and Mk representing the target pressure difference corresponding to the time point k, connect adjacent two coordinate points by a straight line to obtain a broken line graph as a propagation curve of the micro-pressure wave.

4. The medical care cabin sealing detection method based on pressure detection according to claim 1, characterized in that, Determine that the sealing property of the medical care cabin is low when there is a target curve beyond the safety range.

5. The medical care cabin sealing detection method based on pressure detection according to claim 4, characterized in that, After determining that the sealing property of the medical care cabin is low, the method further comprises the following steps: The target line exceeding the safety range is taken as an abnormal line, time stamps corresponding to intersections of the abnormal line and the safety range are obtained, the time stamps are grouped, and if pressure of a point adjacent to a point corresponding to the time stamp on the abnormal curve on the abnormal curve is greater than the upper limit of the safety range, the time stamp is taken as a positive group; if pressure of the point adjacent to the point corresponding to the time stamp on the abnormal curve on the abnormal curve is less than the lower limit of the safety range, the time stamp is taken as a negative group. The abnormal situation and a position of the abnormal situation are determined according to the positive group and the negative group, and the abnormal situation includes internal gas leakage of the medical care cabin and external gas backflow of the medical care cabin.

6. The medical care cabin sealing detection method based on pressure detection according to claim 5, characterized in that, The abnormal situation and the position of the abnormal situation are determined, and the abnormal situation includes internal gas leakage of the medical care cabin and external gas backflow of the medical care cabin. In the positive group, the time stamps are sorted according to a time axis sequence, if a difference between the first time stamp and the second time stamp in the sorting is less than a preset value, monitoring points S1 and S2 corresponding to the first time stamp and the second time stamp in the sorting are obtained; a ray is drawn from the S2 to the S1, the ray intersects the medical care cabin at a point P1, prompt information is sent to a preset manager to prompt that the point P1 has an abnormal situation, and the abnormal situation is internal gas leakage of the medical care cabin; In the negative group, the time stamps are sorted according to a time axis sequence, if a difference between the first time stamp and the second time stamp in the sorting is less than a preset value, monitoring points S3 and S4 corresponding to the first time stamp and the second time stamp in the sorting are obtained; a ray is drawn from the S3 to the S4, the ray intersects the medical care cabin at a point P2, prompt information is sent to a preset manager to prompt that the point P2 has an abnormal situation, and the abnormal situation is external gas backflow of the medical care cabin.

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