Shared self-service liquid oxygen supply monitoring system and method and mobile oxygen supplementing device

Abstract

The invention discloses a shared self-service liquid oxygen supply monitoring system and method and a mobile oxygen supplementation device. The method comprises the following steps that an air leakage state monitoring function framework, a liquid level monitoring function framework and a monitoring performance proofreading function framework for mobile oxygen inhalation equipment are constructed; a closed vacuum comparison cavity and a closed variable-pressure monitoring cavity are respectively formed by correspondingly placing movable oxygen inhalation equipment; actual weighing data of the movable oxygen inhalation equipment are calculated and converted to obtain the internal liquid level state of the movable oxygen inhalation equipment, so that the liquid level monitoring procedure is completed; acquiring the real-time internal pressure of the closed vacuum comparison cavity as the initial internal pressure of the architecture, and acquiring the real-time internal pressure of the closed variable-pressure monitoring cavity corresponding to different time axis nodes; and comparing the real-time internal pressure of the closed variable-pressure monitoring cavity corresponding to different time axis nodes, and judging and acquiring the air leakage state of the mobile oxygen inhalation equipment according to a comparison result. The technical problems that in the prior art, air leakage detection of oxygen inhalation equipment for sharing self-service oxygen supply is difficult to achieve, performance degradation of a monitoring sensor is prone to occurring, and timely discovery and adjustment are difficult to achieve are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of outdoor emergency oxygen supply, and in particular to a shared self-service liquid oxygen supply monitoring system and method, and a mobile oxygen supplementation device. Background Art

[0002] At present, the demand for oxygen is increasing in scenarios such as medical emergency and outdoor travel. Especially in scenarios such as plateau tourism, hypoxia symptoms such as insufficient oxygen supply and low blood oxygen saturation are prone to occur. Traditional oxygen supply methods have many problems. For example, some fixed oxygen inhalation devices require users to stay in specific places, which hinders users' travel and activities, and are less convenient to use, reducing users' willingness to use them.

[0003] At the same time, with the development of science and technology and the improvement of people's living standards, the demand for more convenient oxygen supply services continues to increase. The rise of the sharing economy model allows people to use various shared devices anytime and anywhere through simple operations such as scanning codes and swiping cards, which meets people's demand for convenience and can improve the efficiency of oxygen inhalation equipment, indirectly reducing idle waste of resources.

[0004] In the prior art, when a shared oxygen breathing device is returned, it is usually necessary to use a liquid level sensor or a weight sensor to monitor the changes in the built-in liquid oxygen level of the oxygen breathing device to assist in usage billing. However, since the environment that requires outdoor oxygen supply is usually in plateau areas, the overall terrain is relatively rugged and the ambient temperature is relatively low. Therefore, improper use or temperature influences can easily cause the valve of the device to be damaged or aged, resulting in liquid oxygen vaporization leakage. Current oxygen breathing devices generally do not have a leak detection function when returned or left stationary, which may cause subsequent users to consume oxygen and increase the overall risk of use. At the same time, the monitoring sensor will experience voltage attenuation when working for a long time, especially in low-temperature environments such as plateaus. The sensor performance is more severely affected by temperature, which can easily lead to inaccurate monitoring of the liquid level and usage status of the returned equipment. In addition, the above-mentioned sensor performance attenuation is usually difficult to detect in time, further affecting the monitoring accuracy. Summary of the invention

[0005] To this end, the present invention provides a shared self-service liquid oxygen supply monitoring system and method, and a mobile oxygen supplementation device to solve the technical problems in the prior art that oxygen inhalation equipment for shared self-service oxygen supply is difficult to detect leaks, and that monitoring sensors are prone to performance degradation and are difficult to detect and adjust in a timely manner.

[0006] In order to achieve the above object, the present invention provides the following technical solutions: A shared self-service liquid oxygen supply monitoring method comprises the following steps: Construct a functional architecture for leakage status monitoring, liquid level monitoring and monitoring performance calibration of mobile oxygen breathing equipment; The mobile oxygen inhalation equipment placed corresponding to the monitoring and calibration functional architecture forms a closed vacuum comparison chamber and a closed pressure-changing monitoring chamber respectively; Calculate the actual weighing data of the mobile oxygen inhalation device, and further convert the internal liquid level state of the mobile oxygen inhalation device based on the actual weighing data of the mobile oxygen inhalation device to complete the liquid level monitoring process; The real-time internal pressure of the closed vacuum comparison cavity is obtained as the initial internal pressure of the architecture through the monitoring and calibration function architecture, and the real-time internal pressure of the closed variable pressure monitoring cavity corresponding to different time axis nodes is obtained; The obtained real-time internal pressures of the closed variable pressure monitoring chamber corresponding to different time axis nodes are compared, and the leakage state of the mobile oxygen breathing equipment is determined based on the internal pressure comparison results.

[0007] On the basis of the above technical solution, the present invention is further described as follows: As a further solution of the present invention, the construction of a functional architecture for monitoring the leakage status, liquid level and monitoring performance calibration of mobile oxygen inhalation equipment specifically includes: providing a monitoring bin structure, and providing a take-in and put-out channel connected to its inner cavity and a press-fit cover body detachably and closedly assembled with the take-in and put-out channel on the top of the monitoring bin structure, and providing a lifting and lowering driving structure connected to the transmission assembly between the press-fit cover body and the back side of the monitoring bin structure; A plurality of directional guide plates are fixedly arranged corresponding to the inner cavity of the monitoring bin structure, and a plurality of sensor weighing platforms are fixedly arranged at the bottom of the inner cavity of the monitoring bin structure, and an annular flexible bottom support is positioned and arranged corresponding to the outer edge top of the plurality of sensor weighing platforms, and the flexible bottom support is arranged corresponding to the guide position formed by the plurality of directional guide plates, so that the flexible bottom support is accurately aligned and assists in the closed support of the bottom end of the mobile oxygen inhalation device; at this time, the inner cavity of the monitoring bin structure forms a closed variable pressure monitoring cavity corresponding to the outer side of the mobile oxygen inhalation device and the flexible bottom support, and the inner side of the mobile oxygen inhalation device and the flexible bottom support forms a closed vacuum comparison cavity; A vacuum monitoring sensor and a vacuum suction valve body are respectively arranged corresponding to the closed vacuum comparison chamber, and a booster blowing valve body, a pressure change monitoring sensor and a recovery suction valve body are arranged corresponding to the closed pressure change monitoring chamber; The electric control module is respectively connected with the lifting drive structure, the vacuum monitoring sensor, the vacuum suction valve body, the boost blowing valve body, the voltage transformation monitoring sensor and the recovery suction valve body through circuits.

[0008] As a further embodiment of the present invention, The mobile oxygen inhalation equipment placed corresponding to the monitoring and calibration functional architecture respectively forms a closed vacuum comparison chamber and a closed variable pressure monitoring chamber, specifically including: Controlling and starting the lifting and lowering drive structure to output kinetic energy to lift and press the cover body to open the access channel; The mobile oxygen inhalation device is placed into the inner cavity of the monitoring chamber structure through the access channel, and is displaced along the directional guide plate until it is closed and pressed against the flexible bottom support seats on the top of the plurality of sensor weighing platforms, so that the mobile oxygen inhalation device forms a closed vacuum comparison cavity corresponding to the inner side of the flexible bottom support seats; At this time, the total gravity G1 of the initially placed mobile oxygen inhalation equipment and the flexible bottom support is obtained in real time through several groups of sensor weighing platforms, wherein the preset gravity of the flexible bottom support is G0; Continue to control and drive the press-fit cover body to seal and cover the access channel, so that the inner cavity of the monitoring bin structure corresponds to the outer side of the mobile oxygen inhalation device and the flexible bottom support to form a closed variable pressure monitoring cavity; The actual weighing data of the mobile oxygen inhalation device is calculated, and the internal liquid level state thereof is further converted based on the actual weighing data of the mobile oxygen inhalation device to complete the liquid level monitoring process, specifically including: According to the total gravity G1 of the initially placed mobile oxygen inhalation device and the flexible bottom support, the current actual gravity G2 of the initially placed mobile oxygen inhalation device is calculated. The specific calculation formula is: G2=G1-G0 (1) Where G0 is the preset gravity value of the flexible bottom support; Afterwards, based on the current actual gravity G2 of the mobile oxygen inhalation device, the conversion coefficient is further converted to obtain the liquid level value of the mobile oxygen inhalation device when it is initially placed, so as to complete the liquid level monitoring process.

[0009] As a further embodiment of the present invention, The method of obtaining the real-time internal pressure of the closed vacuum comparison cavity as the initial internal pressure of the architecture through the monitoring and calibration functional architecture, and obtaining the real-time internal pressure of the closed variable pressure monitoring cavity corresponding to different time axis nodes, specifically includes: The real-time internal pressure P of the closed transformer monitoring cavity corresponding to the first node t1 of the current time axis is obtained by the transformer monitoring sensor in the monitoring and calibration functional architecture. m1 The real-time internal pressure P of the closed vacuum comparison chamber corresponding to the first node t1 of the current time axis is obtained through the vacuum monitoring sensor. n At this time, since the closed vacuum comparison chamber is immediately closed after the mobile oxygen inhalation device is initially placed, the internal pressure P of the closed vacuum comparison chamber is n As a monitoring device, the initial internal pressure P formed in the inner cavity of the warehouse structure after the placement process n ; Continue to obtain the real-time internal pressure P of the closed transformer monitoring cavity corresponding to the second node t2 of the current time axis through the transformer monitoring sensor in the monitoring and calibration function architecture. m2 .

[0010] As a further embodiment of the present invention, The method of comparing the real-time internal pressures of the closed variable pressure monitoring chamber corresponding to different time axis nodes, and determining the leakage state of the mobile oxygen breathing device according to the internal pressure comparison result, specifically includes: The obtained real-time internal pressure values ​​of the closed transformer monitoring chamber corresponding to the first time axis node t1 and the second time axis node t2 are compared as follows: If P m2 =P m1 =P n , it proves that the pressure in the closed variable pressure monitoring chamber from the first node t1 to the second node t2 of the current time axis has not increased, and the mobile oxygen breathing equipment is not in a leaking state at this time; If P m2 >P m1 , it proves that the pressure in the closed variable pressure monitoring chamber from the first node t1 of the current time axis to the second node t2 of the time axis increases, and at this time the mobile oxygen inhalation equipment is in a leaking state.

[0011] As a further solution of the present invention, it also includes: When the mobile oxygen breathing equipment is in a leaking state, the control monitoring and calibration functional architecture corresponds to the closed variable pressure monitoring chamber to increase the pressure until the pressure at the leaking point is balanced and the leaking stops; Continue to use the pressurization and leakage status of the closed variable pressure monitoring chamber to correspond to the gravity change value formed by the mobile oxygen inhalation equipment to jointly verify the monitoring performance of the monitoring and proofreading functional architecture.

[0012] As a further embodiment of the present invention, When the mobile oxygen breathing device is in a leaking state, the control monitoring and calibration functional architecture corresponds to the closed variable pressure monitoring chamber for pressurization until the pressure at the leaking point is balanced and the leaking stops, specifically including: The boost blow valve body in the monitoring and calibration function architecture cooperates with the pressure monitoring sensor to input oxygen into the closed pressure monitoring chamber from the second node t2 of the time axis to boost the pressure inside the closed pressure monitoring chamber. The pressure monitoring sensor monitors and records the current internal pressure increase rate value of the closed pressure monitoring chamber in real time as the total internal pressure increase rate R corresponding to the boost and leakage. m ; During the gradual pressurization process inside the closed variable pressure monitoring chamber, the leakage of the mobile oxygen breathing equipment is gradually reduced by the external pressure. At this time, the internal pressure increase speed corresponding to the leakage is synchronously reduced, while the internal pressure increase speed R corresponding to the pressurization is a When the preset value remains unchanged, the total internal pressure increases at a rate R m Then the synchronization decreases gradually; Continue to monitor and record the total internal pressure increase rate R of the closed transformer monitoring chamber mWhen the third axis node t3 is reached, the total internal pressure increases at a rate R m When the pressure is no longer reduced and maintained at a constant value within the preset threshold range, the pressure increase is stopped immediately. At this time, the internal pressure increase rate corresponding to the leakage is 0, and the total internal pressure increase rate R is finally monitored. m That is, the preset internal pressure increase rate R corresponding to the boost pressure a , thereby completing the pressure balance control at the leakage point of the mobile oxygen breathing equipment, preventing continuous leakage of oxygen leading to waste and safety hazards.

[0013] As a further embodiment of the present invention, The monitoring performance of the monitoring and calibration functional architecture is verified by coordinating the pressure increase and leakage state of the closed variable pressure monitoring chamber with the gravity change value formed by the mobile oxygen inhalation device, specifically including: Continue to monitor and calibrate the transformer monitoring sensor in the functional architecture to obtain the real-time internal pressure P of the closed transformer monitoring cavity corresponding to the third node t3 of the current time axis. m3 , then the real-time internal pressure change amplitude P from the initial placement of the mobile oxygen breathing equipment to the third node t3 on the time axis e The calculation formula is as follows: P e =P m3 -P n (2) Where P n The initial internal pressure of the closed variable pressure monitoring chamber after the mobile oxygen breathing equipment is placed; During the calculation, the internal pressure increase amplitude P corresponding to the boost pressure is a , the calculation formula is as follows: P a =R a ×(t3-t2) (3) Thus, by performing a difference calculation, the total internal pressure increase amplitude P corresponding to the leakage from the initial placement of the mobile oxygen breathing device to the third node t3 on the time axis is obtained. f , the calculation formula is as follows: P f =P e -P a (4) Continue to introduce the ideal gas state equation PV = NRT to calculate the total internal pressure increase amplitude P corresponding to the leakage in the closed variable pressure monitoring chamber m f The corresponding oxygen increment N is calculated as follows: P f V=NRT (5) N=P f V / RT (6) Wherein, V is the preset standard space volume formed inside the closed variable pressure monitoring chamber after the mobile oxygen breathing device is placed, N is the amount of leaked oxygen in moles, R is the ideal gas constant, and T is the preset gas constant temperature environment inside the closed variable pressure monitoring chamber; The oxygen mass conversion equation is further introduced to calculate the leaked oxygen mass M, and the calculation formula is as follows: M=N×M o (7) Where M is the mass of leaked oxygen, N is the amount of leaked oxygen in moles, and M o is the molar mass of oxygen, which is 32 g / mol; The vacuum monitoring sensor and the vacuum suction valve body are used to synchronously perform the internal pressure suction and monitoring process, so that the closed vacuum comparison chamber forms a vacuum state P0, thereby more accurately calculating the pressure difference between the upper and lower end surfaces of the mobile oxygen inhalation device after the leakage and pressurization process; Continue to obtain the total gravity G3 of the flexible bottom support of the third node t3 of the current axis and the mobile oxygen breathing equipment after leakage and compression in real time through several groups of sensor weighing platforms. The calculation expression is as follows: G3=G4+G0+F1 (8) Wherein, G4 is the current actual gravity of the mobile oxygen breathing device after leakage, and F1 is the internal pressure acting on the upper surface of the mobile oxygen breathing device and the flexible bottom support corresponding to the time axis node t3; The upper surface area of ​​the mobile oxygen inhalation device and the flexible bottom support is preset as S, and the internal pressure force F1 on the upper surface of the mobile oxygen inhalation device and the flexible bottom support corresponding to the time axis node t3 is calculated as follows: F1=P m3 ×S (9) Calculate the current actual gravity G4 of the mobile oxygen inhalation device after leakage, the calculation formula is as follows: G4=G3-G0-F1 (10) G4=G3-G0-P m3 ×S (11) Further, the gravity equation is introduced according to the leaked oxygen mass M to calculate the leakage loss gravity G5 of the mobile oxygen breathing equipment corresponding to the time axis node t3. The calculation formula is as follows: G5=Mg (12) Compare the value obtained by G4+G5 and see whether it remains equal to the gravity value G2 of the initially placed mobile oxygen inhalation equipment within a specific error range. Since the gravity value G2 is measured by the sensing weighing platform alone, and the gravity values ​​G4 and G5 are measured by the sensing weighing platform, vacuum monitoring sensor and voltage transformer monitoring sensor in combination, if the difference in the compared values ​​exceeds the specific error range, it proves that the sensing weighing platform and / or vacuum monitoring sensor and / or voltage transformer monitoring sensor have excessive attenuation in monitoring performance.

[0014] An oxygen supply monitoring system according to the shared self-service liquid oxygen supply monitoring method comprises: Monitoring and calibration functional architecture building module, used to build leakage status monitoring, liquid level monitoring and monitoring performance calibration functional architecture for mobile oxygen breathing equipment; A closed cavity establishment module is used to form a closed vacuum comparison cavity and a closed pressure change monitoring cavity respectively based on the mobile oxygen inhalation equipment placed in correspondence with the monitoring and calibration functional architecture; The liquid level monitoring module is used to calculate the actual weighing data of the mobile oxygen inhalation device, and further convert the internal liquid level state of the mobile oxygen inhalation device based on the actual weighing data of the mobile oxygen inhalation device to complete the liquid level monitoring process; The time axis internal pressure monitoring module is used to obtain the real-time internal pressure of the closed vacuum comparison cavity as the initial internal pressure of the architecture through the monitoring and calibration function architecture, and obtain the real-time internal pressure of the closed variable pressure monitoring cavity corresponding to different time axis nodes; The internal pressure comparison module is used to compare the real-time internal pressures of the closed variable pressure monitoring chamber corresponding to different time axis nodes, and determine the leakage status of the mobile oxygen inhalation equipment based on the internal pressure comparison results.

[0015] A mobile oxygen supplementation device is provided with the oxygen supply monitoring system.

[0016] The present invention has the following beneficial effects: The method and system can effectively monitor the changes in the built-in liquid oxygen level of shared oxygen inhalation equipment, so as to assist in completing the established usage billing function. At the same time, the leakage status of the oxygen inhalation equipment can be further monitored in real time to effectively ensure the status availability of the oxygen inhalation equipment, and the continuous leakage volume can be significantly reduced by the boost setting, thereby improving the overall safety. In addition, the attenuation degree of the monitoring performance of the verification architecture can be compared and verified in a timely manner, further improving the accuracy of monitoring the equipment liquid level and usage status. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the implementation mode of the present invention or the technical solution in the prior art, the drawings required for the implementation mode or the description of the prior art will be briefly introduced below. The structures, proportions, sizes, etc. illustrated in this specification are only used to match the contents disclosed in the specification for people familiar with this technology to understand and read. Any structural modification, change in proportional relationship or adjustment of size should still fall within the scope of the technical contents disclosed in the present invention without affecting the effects and purposes that can be achieved by the present invention.

[0018] Figure 1 A schematic diagram of the overall process of a shared self-service liquid oxygen supply monitoring method provided in an embodiment of the present invention.

[0019] Figure 2 A schematic diagram of the axonometric structure of the functional architecture of leakage status monitoring, liquid level monitoring and monitoring performance calibration in the shared self-service liquid oxygen supply monitoring method provided in an embodiment of the present invention.

[0020] Figure 3 A schematic diagram of the internal structure principles of the leakage status monitoring, liquid level monitoring and monitoring performance calibration functional architecture in the shared self-service liquid oxygen supply monitoring method provided in an embodiment of the present invention.

[0021] Figure 4 One of the schematic diagrams of the calculation principles of the leakage status monitoring, liquid level monitoring and monitoring performance calibration functional architecture in the shared self-service liquid oxygen supply monitoring method provided in an embodiment of the present invention.

[0022] Figure 5 The second schematic diagram of the calculation principle of the leakage status monitoring, liquid level monitoring and monitoring performance calibration functional architecture in the shared self-service liquid oxygen supply monitoring method provided in an embodiment of the present invention.

[0023] Figure 6 A schematic diagram of the architecture of a shared self-service liquid oxygen supply monitoring system provided in an embodiment of the present invention.

[0024] Figure 7 A schematic diagram of the physical structure of an electronic device provided by an embodiment of the present invention.

[0025] In the accompanying drawings, the components represented by the reference numerals are listed as follows: Monitoring bin structure 1, access channel 11, press cover 12, directional guide plate 13; Lifting drive structure 2; Sensing weighing platform 3, flexible bottom support 31; Vacuum monitoring sensor 4; vacuum suction valve body 5; Pressurized air blowing valve body 6; variable pressure monitoring sensor 7; recovery suction valve body 8; Closed pressure monitoring chamber m, closed vacuum comparison chamber n, mobile oxygen inhalation equipment a; Monitoring and calibration functional framework building module 10; closed cavity building module 20; liquid level monitoring module 30; time axis internal pressure monitoring module 40; internal pressure comparison module 50; Electronic device 60 : processor 601 , memory 602 , internal bus 603 . DETAILED DESCRIPTION

[0026] The following is a description of the implementation of the present invention by specific embodiments. People familiar with the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0027] The terms such as "upper", "lower", "left", "right", and "middle" used in this specification are only for the convenience of description and are not intended to limit the scope of the invention. Changes or adjustments to their relative relationships should be regarded as within the scope of the invention without substantially changing the technical content.

[0028] like Figures 1 to 5 As shown, the embodiment of the present invention provides a shared self-service liquid oxygen supply monitoring method, which is used to effectively monitor the changes in the built-in liquid oxygen level of shared oxygen breathing equipment, so as to assist in completing the established usage billing function, and at the same time, it can further monitor the leakage status of the oxygen breathing equipment in real time to effectively ensure the status availability of the oxygen breathing equipment, and can significantly reduce the continuous leakage through the boost setting, thereby improving the overall safety. In addition, it can also timely compare and verify the attenuation degree of the monitoring performance of the architecture, further improving the accuracy of monitoring the equipment liquid level and usage status. Specifically including the following steps: S1: Please refer to Figure 2 and Figure 3 , build a functional architecture for leakage status monitoring, liquid level monitoring and monitoring performance calibration for mobile oxygen breathing equipment a; The specific process is: A monitoring bin structure 1 is provided, and a taking-in and putting-out channel 11 connected to the inner cavity thereof and a pressing cover 12 which is detachably and closedly assembled with the taking-in and putting-out channel 11 are provided on the top of the monitoring bin structure 1, and a lifting and driving structure 2 which is transmission-assembled and connected with the pressing cover 12 is provided on the back side of the monitoring bin structure 1, so as to open or press the pressing cover 12 by outputting kinetic energy through the lifting and driving structure 2; Continuing to correspond to the inner cavity of the monitoring bin body structure 1, a plurality of groups of directional guide plates 13 are fixedly arranged, and a plurality of groups of sensing weighing platforms 3 are fixedly arranged at the bottom of the inner cavity of the monitoring bin body structure 1, and an annular flexible bottom support seat 31 is co-positioned at the outer edge top of the plurality of groups of sensing weighing platforms 3, and the flexible bottom support seat 31 is arranged correspondingly to the guide position formed by the plurality of groups of directional guide plates 13, so that the flexible bottom support seat 31 is accurately aligned and assists in supporting the bottom end of the closed mobile oxygen inhalation device a; at this time, the inner cavity of the monitoring bin body structure 1 is aligned with the outer edge top of the plurality of groups of sensing weighing platforms 3, and the flexible bottom support seat 31 is co-positioned with the guide position formed by the plurality of groups of directional guide plates 13, so as to accurately align the bottom end of the closed mobile oxygen inhalation device a and assist in supporting the closed mobile oxygen inhalation device a. A closed variable pressure monitoring chamber m should be formed on the outer side of the mobile oxygen inhalation device a and the flexible bottom support 31, and a closed vacuum comparison chamber n should be formed on the inner side of the mobile oxygen inhalation device a and the flexible bottom support 31, so as to assist in completing the functions of gas leakage status monitoring, liquid level monitoring and monitoring performance calibration through the closed variable pressure monitoring chamber m, and at the same time, the closed vacuum comparison chamber n is used to assist in maintaining the bottom vacuum of the mobile oxygen inhalation device a constant, thereby avoiding the defects of excessive pressure difference / unstable pressure difference between the upper and lower end surfaces of the mobile oxygen inhalation device a caused by the subsequent inner cavity pressurization process, resulting in inaccurate weighing and corresponding liquid level calculation; Further, a vacuum monitoring sensor 4 and a vacuum suction valve body 5 are respectively provided corresponding to the closed vacuum comparison chamber n, so as to monitor in real time and keep the closed vacuum comparison chamber n in a constant vacuum state; At the same time, a booster blowing valve body 6, a pressure monitoring sensor 7 and a recovery suction valve body 8 are provided corresponding to the closed pressure monitoring chamber m to monitor and complete the constant pressure and pressure changing state of the closed pressure monitoring chamber m in real time; The electric control module is respectively connected with the lifting drive structure 2, the vacuum monitoring sensor 4, the vacuum suction valve body 5, the boost blowing valve body 6, the voltage change monitoring sensor 7 and the recovery suction valve body 8 through circuits; S2: Please refer to Figures 2 to 4 , based on the monitoring and calibration functional architecture, the mobile oxygen inhalation equipment a placed correspondingly forms a closed vacuum comparison chamber n and a closed variable pressure monitoring chamber m; The specific process is: Control and start the lifting and lowering driving structure 2 to output kinetic energy to lift and press the cover body 12 to open the access channel 11; The mobile oxygen inhalation device a is placed into the inner cavity of the monitoring chamber structure 1 through the access channel 11, and is shifted along the directional guide plate 13 until it is closed and pressed against the flexible bottom support 31 on the top of the plurality of sensor weighing platforms 3, so that the mobile oxygen inhalation device a forms a closed vacuum comparison cavity n corresponding to the inner side of the flexible bottom support 31; At this time, the total gravity G1 of the initially placed mobile oxygen inhalation device a and the flexible bottom support 31 is obtained in real time through several groups of sensor weighing platforms 3, wherein the preset gravity of the flexible bottom support 31 is G0; Continue to control and drive the pressing cover body 12 to seal and cover the access channel 11, so that the inner cavity of the monitoring chamber structure 1 corresponds to the outer side of the mobile oxygen inhalation device a and the flexible bottom support 31 to form a closed variable pressure monitoring cavity m; S3: Calculate the actual weighing data of the mobile oxygen inhalation device a, and further convert the internal liquid level state of the mobile oxygen inhalation device a based on the actual weighing data of the mobile oxygen inhalation device a to complete the liquid level monitoring process; The specific process is: According to the total gravity G1 of the initially placed mobile oxygen inhalation device a and the flexible bottom support 31, the current actual gravity G2 of the initially placed mobile oxygen inhalation device a is calculated. The specific calculation formula is: G2=G1-G0 (1) Wherein, G0 is the preset gravity value of the flexible bottom support 31; Afterwards, the current actual gravity G2 of the mobile oxygen inhalation device a is further converted by a conversion coefficient to obtain the liquid level value of the mobile oxygen inhalation device a when it is initially placed, so as to complete the liquid level monitoring process; S4: obtaining the real-time internal pressure of the closed vacuum comparison cavity n as the initial internal pressure of the architecture through the monitoring and calibration function architecture, and obtaining the real-time internal pressure of the closed variable pressure monitoring cavity m corresponding to different time axis nodes; The specific process is: The real-time internal pressure P of the closed transformer monitoring chamber m corresponding to the first node t1 of the current time axis is obtained by the transformer monitoring sensor 7 in the monitoring and calibration functional architecture. m1 The real-time internal pressure P of the closed vacuum comparison chamber n corresponding to the first node t1 of the current time axis is obtained through the vacuum monitoring sensor 4. n At this time, since the closed vacuum comparison chamber n is immediately closed after the mobile oxygen inhalation device a is initially placed, the internal pressure P of the closed vacuum comparison chamber n is n As a monitoring device, the initial internal pressure P formed in the inner cavity of the chamber structure 1 after the placement process n ; Continue to obtain the real-time internal pressure P of the closed transformer monitoring chamber m corresponding to the second node t2 of the current axis through the transformer monitoring sensor 7 in the monitoring and calibration functional architecture. m2 ; S5: comparing the obtained real-time internal pressures of the closed variable pressure monitoring chamber m corresponding to different time axis nodes, and determining the leakage state of the mobile oxygen breathing device a according to the internal pressure comparison result; The specific process is: The obtained real-time internal pressure values ​​of the closed transformer monitoring chamber m corresponding to the first node t1 of the current time axis and the second node t2 of the time axis are compared as follows: If P m2 =P m1 =P n, it proves that the internal pressure of the closed variable pressure monitoring chamber m from the first node t1 of the current time axis to the second node t2 of the time axis has not increased, and the mobile oxygen breathing equipment a is not in a leaking state at this time; If P m2 >P m1 , it proves that the internal pressure of the closed variable pressure monitoring chamber m from the first node t1 of the current time axis to the second node t2 of the time axis increases, and at this time the mobile oxygen breathing device a is in a leaking state; S6: When the mobile oxygen breathing device a is in a leaking state, the control monitoring and calibration functional architecture corresponds to the closed variable pressure monitoring chamber m to increase the pressure until the pressure at the leaking point is balanced and the leaking stops; The specific process is: The boost blow valve body 6 in the monitoring and calibration function architecture cooperates with the pressure monitoring sensor 7 to input oxygen into the closed pressure monitoring chamber m from the second node t2 of the time axis to boost the pressure inside the closed pressure monitoring chamber m. The pressure monitoring sensor 7 monitors and records the current internal pressure increase rate value of the closed pressure monitoring chamber m in real time as the total internal pressure increase rate R corresponding to the boost and leakage. m ; During the gradual pressurization process inside the closed variable pressure monitoring chamber m, the leakage of the mobile oxygen breathing equipment a is gradually reduced by the external pressure. At this time, the internal pressure increase speed corresponding to the leakage is synchronously reduced, while the internal pressure increase speed R corresponding to the pressurization is a When the preset value remains unchanged, the total internal pressure increases at a rate R m Then the synchronization decreases gradually; Continue to monitor and record the total internal pressure increase rate R of the closed variable pressure monitoring chamber m m When the third axis node t3 is reached, the total internal pressure increases at a rate R m When the pressure is no longer reduced and maintained at a constant value within the preset threshold range, the pressure increase is stopped immediately. At this time, the internal pressure increase rate corresponding to the leakage is 0, and the total internal pressure increase rate R is finally monitored. m That is, the preset internal pressure increase rate R corresponding to the boost pressure a , thereby completing the pressure balance control at the leakage point of the mobile oxygen breathing equipment a, preventing continuous leakage of oxygen from causing waste and safety hazards; S7: Continue to use the pressurization and leakage state of the closed variable pressure monitoring chamber m to coordinately verify the monitoring performance of the monitoring and calibration functional architecture corresponding to the gravity change value formed by the mobile oxygen inhalation device a; The specific process is: Continue to monitor and calibrate the transformer monitoring sensor 7 in the functional architecture in real time to obtain the real-time internal pressure P of the closed transformer monitoring chamber m corresponding to the third node t3 of the current time axis. m3 , then the real-time internal pressure change amplitude P from the initial placement of the mobile oxygen breathing device a to the third node t3 of the time axis e The calculation formula is as follows: P e =P m3 -P n (2) Where P n The initial internal pressure of the closed variable pressure monitoring chamber m after the mobile oxygen breathing equipment a is placed; During the calculation, the internal pressure increase amplitude P corresponding to the boost pressure is a , the calculation formula is as follows: P a =R a ×(t3-t2) (3) Thus, by performing a difference calculation, the total internal pressure increase amplitude P corresponding to the leakage from the initial placement of the mobile oxygen breathing device a to the third node t3 of the time axis is obtained. f , the calculation formula is as follows: P f =P e -P a (4) Continue to introduce the ideal gas state equation PV = NRT to calculate the total internal pressure increase amplitude P corresponding to the leakage in the closed variable pressure monitoring chamber m f The corresponding oxygen increment N is calculated as follows: P f V=NRT (5) N=P f V / RT (6) Wherein, V is the preset standard space volume formed inside the closed variable pressure monitoring chamber m after the mobile oxygen breathing device a is placed, N is the amount of leaked oxygen in moles, R is the ideal gas constant, and T is the preset gas constant temperature environment inside the closed variable pressure monitoring chamber m; The oxygen mass conversion equation is further introduced to calculate the leaked oxygen mass M, and the calculation formula is as follows: M=N×M o (7) Where M is the mass of leaked oxygen, N is the amount of leaked oxygen in moles, and M o is the molar mass of oxygen, which is 32 g / mol; Please refer to Figure 5 , the vacuum monitoring sensor 4 cooperates with the vacuum suction valve body 5 to synchronously perform the internal pressure suction and monitoring process, so that the closed vacuum comparison chamber n forms a vacuum state P0, thereby more accurately calculating the upper and lower end surface pressure difference of the mobile oxygen inhalation device a after the leakage and pressurization process; The total gravity G3 of the flexible bottom support 31 and the mobile oxygen breathing device a after leakage and compression at the third node t3 of the current time axis is obtained in real time through several groups of sensor weighing platforms 3. The calculation expression is as follows: G3=G4+G0+F1 (8) Wherein, G4 is the current actual gravity of the mobile oxygen breathing device a after leakage, and F1 is the internal pressure acting on the upper surface of the mobile oxygen breathing device a and the flexible bottom support 31 corresponding to the time axis node t3; The upper surface area of ​​the mobile oxygen inhalation device a and the flexible bottom support 31 is preset to be S, and the internal pressure force F1 on the upper surface of the mobile oxygen inhalation device a and the flexible bottom support 31 corresponding to the time axis node t3 is calculated as follows: F1=P m3 ×S (9) The current actual gravity G4 of the mobile oxygen breathing device a after leakage is calculated using the following formula: G4=G3-G0-F1 (10) G4=G3-G0-P m3 ×S (11) Further, the gravity equation is introduced according to the leaked oxygen mass M to calculate the leakage loss gravity G5 of the mobile oxygen inhalation device a corresponding to the time axis node t3. The calculation formula is as follows: G5=Mg (12) The value obtained by comparing G4+G5 is kept equal to the gravity value G2 of the initially placed mobile oxygen inhalation equipment a within a specific error range. Since the gravity value G2 is measured by the sensing weighing platform 3 alone, and the gravity values ​​G4 and G5 are measured by the sensing weighing platform 3, the vacuum monitoring sensor 4 and the voltage transformer monitoring sensor 7 in coordination, if the difference in the compared values ​​exceeds the specific error range, it proves that the monitoring performance of the sensing weighing platform 3 and / or the vacuum monitoring sensor 4 and / or the voltage transformer monitoring sensor 7 is excessively attenuated.

[0029] Figure 6 Schematic diagram of the architecture of an embodiment of the shared self-service liquid oxygen supply monitoring system of the present invention, as shown in Figure 6 As shown, a shared self-service liquid oxygen supply monitoring system provided by an embodiment of the present invention specifically includes: The monitoring and calibration functional architecture building module 10 is used to build a leakage status monitoring, liquid level monitoring and monitoring performance calibration functional architecture for mobile oxygen inhalation equipment; A closed cavity establishment module 20 is used to form a closed vacuum comparison cavity and a closed pressure change monitoring cavity respectively based on the mobile oxygen inhalation equipment placed in correspondence with the monitoring and calibration functional architecture; The liquid level monitoring module 30 is used to calculate the actual weighing data of the mobile oxygen inhalation device, and further convert the internal liquid level state of the mobile oxygen inhalation device based on the actual weighing data of the mobile oxygen inhalation device to complete the liquid level monitoring process; The time axis internal pressure monitoring module 40 is used to obtain the real-time internal pressure of the closed vacuum comparison cavity as the initial internal pressure of the architecture through the monitoring and calibration function architecture, and obtain the real-time internal pressure of the closed variable pressure monitoring cavity corresponding to different time axis nodes; The internal pressure comparison module 50 is used to compare the obtained real-time internal pressures of the closed variable pressure monitoring chamber corresponding to different time axis nodes, and determine the leakage state of the mobile oxygen inhalation device according to the internal pressure comparison result.

[0030] Figure 7 FIG. 1 is a schematic diagram of the physical structure of an electronic device according to an embodiment of the present invention. Figure 7 As shown, the electronic device 60 includes: a processor 601 (processor), a memory 602 (memory) and an internal bus 603; wherein the processor 601 and the memory 602 communicate with each other via the internal bus 603.

[0031] The processor 601 is used to call the program instructions in the memory 602 to execute the methods provided by the above-mentioned method embodiments, for example, including: constructing a leakage status monitoring, liquid level monitoring and monitoring performance calibration functional architecture for mobile oxygen inhalation equipment; based on the monitoring and calibration functional architecture, the mobile oxygen inhalation equipment placed correspondingly forms a closed vacuum comparison chamber and a closed pressure-changing monitoring chamber respectively; calculating the actual weighing data of the mobile oxygen inhalation equipment, and further converting its internal liquid level status based on the actual weighing data of the mobile oxygen inhalation equipment to complete the liquid level monitoring process; obtaining the real-time internal pressure of the closed vacuum comparison chamber as the initial internal pressure of the architecture through the monitoring and calibration functional architecture, and obtaining the real-time internal pressure of the closed pressure-changing monitoring chamber corresponding to different time axis nodes; comparing the obtained real-time internal pressures of the closed pressure-changing monitoring chamber corresponding to different time axis nodes, and judging the leakage status of the mobile oxygen inhalation equipment according to the internal pressure comparison result.

[0032] The present embodiment provides a non-transitory computer-readable storage medium, which stores computer instructions. The computer instructions enable a computer to execute the methods provided by the above-mentioned method embodiments, for example, including: constructing a leakage status monitoring, liquid level monitoring and monitoring performance calibration functional architecture for mobile oxygen inhalation equipment; forming a closed vacuum comparison chamber and a closed pressure-changing monitoring chamber respectively for the mobile oxygen inhalation equipment placed corresponding to the monitoring and calibration functional architecture; calculating the actual weighing data of the mobile oxygen inhalation equipment, and further converting the internal liquid level status of the mobile oxygen inhalation equipment based on the actual weighing data of the mobile oxygen inhalation equipment to complete the liquid level monitoring process; obtaining the real-time internal pressure of the closed vacuum comparison chamber as the initial internal pressure of the architecture through the monitoring and calibration functional architecture, and obtaining the real-time internal pressure of the closed pressure-changing monitoring chamber corresponding to different time axis nodes; comparing the obtained real-time internal pressures of the closed pressure-changing monitoring chamber corresponding to different time axis nodes, and judging the leakage status of the mobile oxygen inhalation equipment according to the internal pressure comparison result.

[0033] A person skilled in the art can understand that all or part of the steps of implementing the above method embodiment can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above method embodiment; and the aforementioned storage medium includes: ROM, RAM, magnetic disk or optical disk, etc., various storage media that can store program codes.

[0034] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, i.e., they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative effort.

[0035] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a server, a network device, etc.) to execute the methods of each embodiment or some parts of the embodiments.

[0036] Although the present invention has been described in detail above by general description and specific embodiments, it is obvious to those skilled in the art that some modifications or improvements can be made to the present invention. Therefore, these modifications or improvements made without departing from the spirit of the present invention all belong to the scope of protection claimed by the present invention.

Claims

1. A shared self-service liquid oxygen supply monitoring method, characterized in that: The steps include: Construct a functional architecture for leakage status monitoring, liquid level monitoring and monitoring performance calibration of mobile oxygen breathing equipment; The mobile oxygen inhalation equipment placed corresponding to the monitoring and calibration functional architecture forms a closed vacuum comparison chamber and a closed pressure-changing monitoring chamber respectively; Calculate the actual weighing data of the mobile oxygen inhalation device, and further convert the internal liquid level state of the mobile oxygen inhalation device based on the actual weighing data of the mobile oxygen inhalation device to complete the liquid level monitoring process; The real-time internal pressure of the closed vacuum comparison cavity is obtained as the initial internal pressure of the architecture through the monitoring and calibration function architecture, and the real-time internal pressure of the closed variable pressure monitoring cavity corresponding to different time axis nodes is obtained; The obtained real-time internal pressures of the closed variable pressure monitoring chamber corresponding to different time axis nodes are compared, and the leakage state of the mobile oxygen breathing equipment is determined based on the internal pressure comparison results.

2. The shared self-service liquid oxygen supply monitoring method according to claim 1, characterized in that: The functional architecture for monitoring the leakage status, liquid level and performance of the mobile oxygen inhalation equipment is constructed, specifically including: providing a monitoring bin structure, providing a taking-in and putting-out channel connected to the inner cavity thereof and a press-fit cover body which is detachably and closedly assembled with the taking-in and putting-out channel at the top of the monitoring bin structure, and providing a lifting and lowering driving structure which is transmission-assembled and connected with the press-fit cover body at the back side of the monitoring bin structure; A plurality of directional guide plates are fixedly arranged corresponding to the inner cavity of the monitoring bin structure, and a plurality of sensor weighing platforms are fixedly arranged at the bottom of the inner cavity of the monitoring bin structure, and an annular flexible bottom support is positioned and arranged corresponding to the outer edge top of the plurality of sensor weighing platforms, and the flexible bottom support is arranged corresponding to the guide position formed by the plurality of directional guide plates, so that the flexible bottom support is accurately aligned and assists in the closed support of the bottom end of the mobile oxygen inhalation device; at this time, the inner cavity of the monitoring bin structure forms a closed variable pressure monitoring cavity corresponding to the outer side of the mobile oxygen inhalation device and the flexible bottom support, and the inner side of the mobile oxygen inhalation device and the flexible bottom support forms a closed vacuum comparison cavity; A vacuum monitoring sensor and a vacuum suction valve body are respectively arranged corresponding to the closed vacuum comparison chamber, and a booster blowing valve body, a pressure change monitoring sensor and a recovery suction valve body are arranged corresponding to the closed pressure change monitoring chamber; The electric control module is respectively connected with the lifting drive structure, the vacuum monitoring sensor, the vacuum suction valve body, the boost blowing valve body, the voltage transformation monitoring sensor and the recovery suction valve body through circuits.

3. The shared self-service liquid oxygen supply monitoring method according to claim 2 is characterized in that: The mobile oxygen inhalation equipment placed corresponding to the monitoring and calibration functional architecture respectively forms a closed vacuum comparison chamber and a closed variable pressure monitoring chamber, specifically including: Controlling and starting the lifting and lowering drive structure to output kinetic energy to lift and press the cover body to open the access channel; The mobile oxygen inhalation device is placed into the inner cavity of the monitoring chamber structure through the access channel, and is displaced along the directional guide plate until it is closed and pressed against the flexible bottom support seats on the top of the plurality of sensor weighing platforms, so that the mobile oxygen inhalation device forms a closed vacuum comparison cavity corresponding to the inner side of the flexible bottom support seats; At this time, the total gravity G1 of the initially placed mobile oxygen inhalation equipment and the flexible bottom support is obtained in real time through several groups of sensor weighing platforms, wherein the preset gravity of the flexible bottom support is G0; Continue to control and drive the press-fit cover body to seal and cover the access channel, so that the inner cavity of the monitoring bin structure corresponds to the outer side of the mobile oxygen inhalation device and the flexible bottom support to form a closed variable pressure monitoring cavity; The actual weighing data of the mobile oxygen inhalation device is calculated, and the internal liquid level state thereof is further converted based on the actual weighing data of the mobile oxygen inhalation device to complete the liquid level monitoring process, specifically including: According to the total gravity G1 of the initially placed mobile oxygen inhalation device and the flexible bottom support, the current actual gravity G2 of the initially placed mobile oxygen inhalation device is calculated. The specific calculation formula is: G2=G1-G0 (1) Where G0 is the preset gravity value of the flexible bottom support; Afterwards, based on the current actual gravity G2 of the mobile oxygen inhalation device, the conversion coefficient is further converted to obtain the liquid level value of the mobile oxygen inhalation device when it is initially placed, so as to complete the liquid level monitoring process.

4. The shared self-service liquid oxygen supply monitoring method according to claim 3 is characterized in that: The method of obtaining the real-time internal pressure of the closed vacuum comparison cavity as the initial internal pressure of the architecture through the monitoring and calibration functional architecture, and obtaining the real-time internal pressure of the closed variable pressure monitoring cavity corresponding to different time axis nodes, specifically includes: The real-time internal pressure P of the closed transformer monitoring cavity corresponding to the first node t1 of the current time axis is obtained by the transformer monitoring sensor in the monitoring and calibration functional architecture. m1 The real-time internal pressure P of the closed vacuum comparison chamber corresponding to the first node t1 of the current time axis is obtained through the vacuum monitoring sensor. n At this time, since the closed vacuum comparison chamber is immediately closed after the mobile oxygen inhalation device is initially placed, the internal pressure P of the closed vacuum comparison chamber is n As a monitoring device, the initial internal pressure P formed in the inner cavity of the warehouse structure after the placement process n ; Continue to obtain the real-time internal pressure P of the closed transformer monitoring cavity corresponding to the second node t2 of the current time axis through the transformer monitoring sensor in the monitoring and calibration function architecture. m2 .

5. The shared self-service liquid oxygen supply monitoring method according to claim 4 is characterized in that: The method of comparing the real-time internal pressures of the closed variable pressure monitoring chamber corresponding to different time axis nodes, and determining the leakage state of the mobile oxygen breathing device according to the internal pressure comparison result, specifically includes: The obtained real-time internal pressure values ​​of the closed transformer monitoring chamber corresponding to the first time axis node t1 and the second time axis node t2 are compared as follows: If P m2 =P m1 =P n , it proves that the pressure in the closed variable pressure monitoring chamber from the first node t1 to the second node t2 of the current time axis has not increased, and the mobile oxygen breathing equipment is not in a leaking state at this time; If P m2 >P m1 , it proves that the pressure in the closed variable pressure monitoring chamber from the first node t1 of the current time axis to the second node t2 of the time axis increases, and at this time the mobile oxygen inhalation equipment is in a leaking state.

6. The shared self-service liquid oxygen supply monitoring method according to claim 5, characterized in that: Also includes: When the mobile oxygen breathing equipment is in a leaking state, the control monitoring and calibration functional architecture corresponds to the closed variable pressure monitoring chamber to increase the pressure until the pressure at the leaking point is balanced and the leaking stops; Continue to use the pressurization and leakage status of the closed variable pressure monitoring chamber to correspond to the gravity change value formed by the mobile oxygen inhalation equipment to jointly verify the monitoring performance of the monitoring and proofreading functional architecture.

7. The shared self-service liquid oxygen supply monitoring method according to claim 6, characterized in that: When the mobile oxygen breathing device is in a leaking state, the control monitoring and calibration functional architecture corresponds to the closed variable pressure monitoring chamber for pressurization until the pressure at the leaking point is balanced and the leaking stops, specifically including: The boost blow valve body in the monitoring and calibration function architecture cooperates with the pressure monitoring sensor to input oxygen into the closed pressure monitoring chamber from the second node t2 of the time axis to boost the pressure inside the closed pressure monitoring chamber. The pressure monitoring sensor monitors and records the current internal pressure increase rate value of the closed pressure monitoring chamber in real time as the total internal pressure increase rate R corresponding to the boost and leakage. m ; During the gradual pressurization process inside the closed variable pressure monitoring chamber, the leakage of the mobile oxygen breathing equipment is gradually reduced by the external pressure. At this time, the internal pressure increase speed corresponding to the leakage is synchronously reduced, while the internal pressure increase speed R corresponding to the pressurization is a When the preset value remains unchanged, the total internal pressure increases at a rate R m Then the synchronization decreases gradually; Continue to monitor and record the total internal pressure increase rate R of the closed transformer monitoring chamber m When the third axis node t3 is reached, the total internal pressure increases at a rate R m When the pressure is no longer reduced within the preset threshold range and remains constant, the pressure increase is stopped immediately. At this time, the internal pressure increase rate corresponding to the leakage is 0. The total internal pressure increase rate R is finally monitored. m That is the preset internal pressure increase rate R corresponding to the boost a , thereby completing the pressure balance control at the leakage point of the mobile oxygen breathing equipment, preventing continuous leakage of oxygen leading to waste and safety hazards.

8. The shared self-service liquid oxygen supply monitoring method according to claim 7, characterized in that: The monitoring performance of the monitoring and calibration functional architecture is verified by coordinating the pressure increase and leakage state of the closed variable pressure monitoring chamber with the gravity change value formed by the mobile oxygen inhalation device, specifically including: Continue to monitor and calibrate the transformer monitoring sensor in the functional architecture to obtain the real-time internal pressure P of the closed transformer monitoring cavity corresponding to the third node t3 of the current time axis. m3 , then the real-time internal pressure change amplitude P from the initial placement of the mobile oxygen breathing equipment to the third node t3 on the time axis e The calculation formula is as follows: P e =P m3 -P n (2) Where P n The initial internal pressure of the closed variable pressure monitoring chamber after the mobile oxygen breathing equipment is placed; During the calculation, the internal pressure increase amplitude P corresponding to the boost pressure is a , the calculation formula is as follows: P a =R a ×(t3-t2) (3) Thus, by performing a difference calculation, the total internal pressure increase amplitude P corresponding to the leakage from the initial placement of the mobile oxygen breathing device to the third node t3 on the time axis is obtained. f , the calculation formula is as follows: P f =P e -P a (4) Continue to introduce the ideal gas state equation PV = NRT to calculate the total internal pressure increase amplitude P corresponding to the leakage in the closed variable pressure monitoring chamber m f The corresponding oxygen increment N is calculated as follows: P f V=NRT (5) N=P f V / RT (6) Wherein, V is the preset standard space volume formed inside the closed variable pressure monitoring chamber after the mobile oxygen breathing device is placed, N is the amount of leaked oxygen in moles, R is the ideal gas constant, and T is the preset gas constant temperature environment inside the closed variable pressure monitoring chamber; The oxygen mass conversion equation is further introduced to calculate the leaked oxygen mass M, and the calculation formula is as follows: M=N×M o (7) Where M is the mass of leaked oxygen, N is the amount of leaked oxygen in moles, and M o is the molar mass of oxygen, which is 32 g / mol; The vacuum monitoring sensor and the vacuum suction valve body are used to synchronously perform the internal pressure suction and monitoring process, so that the closed vacuum comparison chamber forms a vacuum state P0, thereby more accurately calculating the pressure difference between the upper and lower end surfaces of the mobile oxygen inhalation device after the leakage and pressurization process; Continue to obtain the total gravity G3 of the flexible bottom support of the third node t3 of the current axis and the mobile oxygen breathing equipment after leakage and compression in real time through several groups of sensor weighing platforms. The calculation expression is as follows: G3=G4+G0+F1 (8) Wherein, G4 is the current actual gravity of the mobile oxygen breathing device after leakage, and F1 is the internal pressure acting on the upper surface of the mobile oxygen breathing device and the flexible bottom support corresponding to the time axis node t3; The upper surface area of ​​the mobile oxygen inhalation device and the flexible bottom support is preset as S, and the internal pressure force F1 on the upper surface of the mobile oxygen inhalation device and the flexible bottom support corresponding to the time axis node t3 is calculated as follows: F1=P m3 ×S (9) Calculate the current actual gravity G4 of the mobile oxygen inhalation device after leakage, the calculation formula is as follows: G4=G3-G0-F1 (10) G4=G3-G0-P m3 ×S (11) Further, the gravity equation is introduced according to the leaked oxygen mass M to calculate the leakage loss gravity G5 of the mobile oxygen breathing equipment corresponding to the time axis node t3. The calculation formula is as follows: G5=Mg (12) Compare the value obtained by G4+G5 and see whether it remains equal to the gravity value G2 of the initially placed mobile oxygen inhalation equipment within a specific error range. Since the gravity value G2 is measured by the sensing weighing platform alone, and the gravity values ​​G4 and G5 are measured by the sensing weighing platform, vacuum monitoring sensor and voltage transformer monitoring sensor in combination, if the difference in the compared values ​​exceeds the specific error range, it proves that the sensing weighing platform and / or vacuum monitoring sensor and / or voltage transformer monitoring sensor have excessive attenuation in monitoring performance.

9. An oxygen supply monitoring system according to the shared self-service liquid oxygen supply monitoring method of claim 8, characterized in that: include: Monitoring and calibration functional architecture building module, used to build leakage status monitoring, liquid level monitoring and monitoring performance calibration functional architecture for mobile oxygen breathing equipment; A closed cavity establishment module is used to form a closed vacuum comparison cavity and a closed pressure change monitoring cavity respectively based on the mobile oxygen inhalation equipment placed in correspondence with the monitoring and calibration functional architecture; The liquid level monitoring module is used to calculate the actual weighing data of the mobile oxygen inhalation device, and further convert the internal liquid level state of the mobile oxygen inhalation device based on the actual weighing data of the mobile oxygen inhalation device to complete the liquid level monitoring process; The time axis internal pressure monitoring module is used to obtain the real-time internal pressure of the closed vacuum comparison cavity as the initial internal pressure of the architecture through the monitoring and calibration function architecture, and obtain the real-time internal pressure of the closed variable pressure monitoring cavity corresponding to different time axis nodes; The internal pressure comparison module is used to compare the real-time internal pressures of the closed variable pressure monitoring chamber corresponding to different time axis nodes, and determine the leakage status of the mobile oxygen inhalation equipment based on the internal pressure comparison results.

10. A mobile oxygen supplementation device, characterized in that: An oxygen supply monitoring system as claimed in claim 9 is provided.

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