Small molecular sieve oxygenerator low oxygen concentration alarm test tool and method
By controlling the oxygen content and pressure of the gas in the oxygen generator chamber through electrochemical deoxygenation equipment and particle swarm optimization algorithm, the instability problem of low oxygen concentration alarm testing of small molecular sieve oxygen generators was solved, and efficient and reliable test results were achieved.
Patent Information
- Application Number
- CN202510996729.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-18
- Publication Date
- 2025-10-17
AI Technical Summary
The existing low oxygen concentration alarm test method for small and medium-sized molecular sieve oxygen concentrators is unstable and cannot reliably simulate an oxygen concentration drop to 82%, resulting in inaccurate test results and possible damage to the equipment.
Electrochemical deoxygenation equipment and particle swarm optimization algorithm are used to control the oxygen content and pressure of the gas in the oxygen generator chamber. The oxygen content of the gas entering the oxygen generator chamber is controlled by the electrochemical deoxygenation equipment, and the particle swarm optimization algorithm is used to adjust the air pump power and power supply current in real time to realize the test and evaluation of the low oxygen concentration alarm performance of the molecular sieve oxygen generator.
The system achieves stable testing of the low oxygen concentration alarm performance of the molecular sieve oxygen concentrator, improves the reliability and stability of the test, avoids unexpected alarms, and saves inspection time.
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Figure CN120808559A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The application belongs to the technical field of medical devices, and particularly relates to a small molecular sieve oxygen generator low-oxygen-concentration alarm test tool and method. BACKGROUND
[0002] The small molecular sieve oxygen generator utilizes the physical adsorption and desorption technology of molecular sieve and the principle of pressure swing adsorption (PSA). The molecular sieve is filled in the oxygen generator. When pressurized, the molecular sieve adsorbs nitrogen in the air, and the unabsorbed oxygen is collected. After purification treatment, high-purity oxygen can be obtained. When depressurized, the molecular sieve discharges the adsorbed nitrogen back to the environment air, thereby realizing periodic and dynamic cyclic oxygen production. The output oxygen concentration can generally reach 93%±3%, which can provide high-purity oxygen for patients and meet the medical needs. The general flow rate is precisely adjusted in the range of 0.5-5 L / min or higher, and the precision can reach 0.1 L, which can meet the multi-scene needs of different people from daily health care to medical assistance. Air is used as raw material without adding any additives, and there is no residue and pollution emission, and the power consumption is small. The applicable scenarios include: 1. Home oxygen therapy: can provide daily oxygen supplementation for the elderly, pregnant women, students, etc., relieve fatigue, and improve blood oxygen level. 2. Medical assistance: suitable for long-term oxygen therapy of patients with chronic obstructive pulmonary disease (COPD), cardiovascular and cerebrovascular diseases, and respiratory diseases, assists in rehabilitation, and improves the quality of life. 3. Emergency rescue: can provide timely oxygen supply in emergency medical rescue, and strive for valuable treatment time for patients. 4. Special environment: such as high-altitude travel and work, which can be used to prevent and relieve high-altitude reaction.
[0003] In order to use safely, the small molecular sieve oxygen generator is usually equipped with various fault alarm functions, such as low-oxygen-concentration, compressor failure, pressure failure, etc., and some also have voice broadcast, which can monitor the running state of the equipment in real time and prompt immediately when abnormal conditions occur. Among them, the decrease of the output oxygen concentration of the oxygen generator will have a significant impact on the physiological state and treatment effect of the patient, which is as follows: 1. Disease risk: for patients who rely on oxygen inhalation (such as patients with chronic obstructive pulmonary disease, cardiovascular and cerebrovascular diseases), if the oxygen concentration of the oxygen generator is insufficient, it may not effectively improve the blood oxygen level, aggravate the disease, and affect the rehabilitation effect. 2. Special scene risk: in medical emergency, high-altitude operation, etc., low-oxygen-concentration may not meet the emergency oxygen supplementation demand, delay the treatment opportunity or cause the body discomfort to be aggravated.
[0004] The national standard YY 9706.269-2021 provides specific requirements for oxygen concentration alarm, as follows: The oxygen concentrator shall be equipped with an alarm system, which indicates a low oxygen concentration technical alarm state when detecting that the oxygen concentration in the output gas is lower than expected. The low oxygen concentration technical alarm state shall be activated before the concentration drops to 82% by volume. The low oxygen concentration technical alarm state shall be at least low priority with an audible alarm signal. The low oxygen concentration technical alarm state shall not stop the output gas. During the start-up process, the low oxygen concentration technical alarm condition does not have to be activated.
[0005] However, in order to meet the requirements of the above standard, the oxygen concentration of the small molecular sieve oxygen generator prepared by each equipment manufacturer is generally maintained at more than 90% during normal operation. Only in the case of failure or special environment, the oxygen concentration may decrease. In order to test whether the small molecular sieve oxygen generator meets the requirement of the standard that "when the oxygen concentration decreases to 82%, the device shall have an alarm of low oxygen concentration", it is necessary to simulate the scenario of oxygen concentration lower than normal working condition, i.e. oxygen concentration decreases to 82%. For this provision, the standard does not specify the test method, and there is no research on this test method at present. Only by disassembling the machine by the manufacturer's engineer, simulating the compressor failure or gas supply pipeline failure, and reducing the output oxygen concentration, can the test condition be realized. However, the test process has contingency, and the output oxygen concentration cannot be stabilized.
[0006] For the existing test method, the tester needs to disassemble the machine, simulate the compressor failure or gas supply pipeline failure, and repeatedly adjust, which consumes manpower and time, and may damage the equipment. During the process of simulating failure artificially, the oxygen concentration may decrease suddenly, and the test data of the oxygen analyzer has a certain hysteresis, so it is extremely possible that the output oxygen concentration of the equipment is already below 82%, while the test data is still above 82%, resulting in false unqualified test results, high instability of test results, and extremely poor reproducibility. On the other hand, during the process of simulating low oxygen concentration artificially, other alarms may be activated, which may interfere with the low oxygen concentration test. SUMMARY
[0007] The application aims to provide a small molecular sieve oxygen generator low-oxygen concentration alarm test tool and method, and to obtain the purpose of stably controlling the oxygen concentration of the oxygen generator.
[0008] The technical problems solved by the application are solved by the following technical solutions: a small molecular sieve oxygen generator low-oxygen concentration alarm test tool, comprising a molecular sieve oxygen generator, an oxygen generation cabin, an electrochemical oxygen removal device, a gas pump, a power supply, a pressure sensor, an exhaust valve, an oxygen meter and a control module. The molecular sieve oxygen generator is arranged in the oxygen generation cabin, and the oxygen generation cabin is arranged in a sealed manner. The oxygen outlet of the molecular sieve oxygen generator is connected to the oxygen meter. The electrochemical oxygen removal device comprises an air inlet and an air outlet, the air inlet is connected to the gas pump, and the air outlet is connected to the oxygen generation cabin. The electrochemical oxygen removal device is connected to the power supply. The control module is connected to the gas pump, the power supply, the pressure sensor, the exhaust valve and the oxygen meter.
[0009] Preferably, the electrochemical oxygen removal device comprises an oxygen removal sealed bin, an anode and a cathode. The oxygen removal sealed bin contains an electrolyte solution, which promotes the occurrence of oxidation reaction. The lower ends of the anode and the cathode are respectively inserted into the electrolyte solution, and the anode and the cathode are respectively connected to the power supply. The air inlet is located below the liquid level of the electrolyte solution in the oxygen removal sealed bin, and the air outlet is located above the liquid level of the electrolyte solution in the oxygen removal sealed bin.
[0010] Preferably, the anode is a zinc sheet, and the cathode is a silver sheet.
[0011] Preferably, a one-way valve is arranged between the air inlet and the gas pump, which is used to prevent the electrolyte solution from entering the gas pump from the oxygen removal sealed bin.
[0012] Preferably, the oxygen generation cabin is provided with an observation window or is a transparent shell, so as to facilitate observation of the situation in the oxygen generation cabin.
[0013] Preferably, the power supply is a direct current power supply.
[0014] Preferably, the exhaust valve is an electromagnetic valve.
[0015] The application further discloses a low-oxygen-concentration alarm testing method for a small molecular sieve oxygen generator. The target oxygen concentration is set by the control module, and the target oxygen concentration is lower than the low-oxygen-concentration alarm value. The oxygen content of the gas output by the molecular sieve oxygen generator is detected in real time by using the oxygen detector. The control module controls the power of the gas pump and the output current of the power supply by using a particle swarm optimization algorithm according to the relationship between the oxygen content of the gas detected by the oxygen detector and the target oxygen concentration, until the oxygen concentration of the gas output by the molecular sieve oxygen generator is maintained at the target oxygen concentration. The low-oxygen-concentration alarm function of the small molecular sieve oxygen generator is detected and evaluated.
[0016] Preferably, the method further comprises the following steps: setting a target pressure value by the control module, and monitoring the pressure in the oxygen generation cabin in real time by using the pressure sensor. The control module controls the opening and closing of the exhaust valve according to the relationship between the pressure value detected by the pressure sensor and the target pressure value, so as to maintain the pressure in the oxygen generation cabin below the target pressure value, avoid the pressure in the oxygen generation cabin exceeding the pressure alarm value of the molecular sieve oxygen generator, and cause the molecular sieve oxygen generator to abnormally alarm.
[0017] Preferably, the method comprises the following steps: S1, setting a target oxygen concentration A, t is an iteration coefficient, A best is a current optimal solution; S2, setting t as 0, A best as 0, randomly generating a particle (I t , P t ) and a speed (x t , y t ); S3, recording the data A t of the oxygen detector (8); S4, if |A t -A|<|A best -A|, that is, the deviation of the current oxygen concentration A t from the target value is smaller than the deviation of the current optimal solution from the target value, then the current solution (I t , P t ) is taken as the current optimal solution (I best , P best ), and A best =A t ; S5, if |A t -A|≥|A best -A|, the current optimal solution is not updated; S6, update the inertia weight: epsilon i+1 =epsilon max - (epsilon max - epsilon min ) (t+1) / T max , wherein epsilon max is the maximum inertia weight, epsilon min is the minimum inertia weight, and T max is the maximum iteration number; S7, update the speed: let x t+1 =epsilon i+1 x t+2 (I best -I t ), y t+1 =epsilon i+1 y t+2 (P best -P t ); S8, update the particle position: I t+1 =I t +x t+1 , P t+1 =P t +y t+1 ; S9, if the current oxygen concentration and the oxygen concentration A t of the last iteration cycle A t-1 are both the target oxygen concentration A, then the optimal solution is found, and the test condition is reached; S10, if the optimal solution is not found, then let t=t+1, and return to step S3.
[0018] Compared with the prior art, the present application has the beneficial effects that: the present application connects the oxygen generating cabin and the electrochemical oxygen removal equipment to each other, sets the molecular sieve oxygen generator in the oxygen generating cabin, controls the oxygen content of the gas entering the oxygen generating cabin by using the electrochemical oxygen removal equipment, and controls the gas pressure in the oxygen generating cabin by using the exhaust valve.
[0019] According to the oxygen concentration monitoring value of the molecular sieve oxygen generator and the oxygen generator environment pressure, the power of the air pump connected with the electrochemical oxygen removal equipment and the current value of the power supply are changed in real time by using the particle swarm optimization algorithm, so as to control the oxygen content in the oxygen generating cabin, reduce the output oxygen concentration of the molecular sieve oxygen generator, and maintain the oxygen concentration of the oxygen generator at the standard requirement, so as to realize the test and evaluation of the low oxygen alarm performance of the molecular sieve oxygen generator.
[0020] Since the molecular sieve oxygen generator is sealed in the oxygen generating cabin, the working environment is controllable, compared with the existing test method, the application can effectively save the test time, improve the reliability, stability of the test, improve the reliability of the test result, and avoid the occurrence of pressure alarm and other unexpected alarms. BRIEF DESCRIPTION OF DRAWINGS
[0021] Figure 1 Structure diagram of the small molecular sieve oxygen generator low oxygen concentration alarm test tool Figure 1 ; Figure 2 Structure diagram of the small molecular sieve oxygen generator low oxygen concentration alarm test tool Figure 2 ; Figure 3 Flow chart of the small molecular sieve oxygen generator low oxygen concentration alarm test method In the figure, 1 is a molecular sieve oxygen generator, 2 is an oxygen generating cabin, 3 is an electrochemical oxygen removal device, 4 is a gas pump, 5 is a power supply, 6 is a pressure sensor, 7 is an exhaust valve, 8 is an oxygen analyzer, and 9 is a control module. 100 is an oxygen removal sealed bin, 200 is an anode, and 300 is a cathode. 10 is a one-way valve. DETAILED DESCRIPTION
[0022] The technical solutions in the embodiments of the application will be clearly and completely described below with reference to the drawings in the embodiments of the application.
[0023] As shown in Figure 1 and Figure 2 , a small molecular sieve oxygen generator low oxygen concentration alarm test tool includes a molecular sieve oxygen generator 1, an oxygen generating cabin 2, an electrochemical oxygen removal device 3, a gas pump 4, a power supply 5, a pressure sensor 6, an exhaust valve 7, an oxygen analyzer 8, and a control module 9.
[0024] The molecular sieve oxygen generator 1 is arranged in the oxygen generating cabin 2, the oxygen generating cabin 2 is sealed, and the oxygen generating cabin 2 is provided with the pressure sensor 6 and the exhaust valve 7.
[0025] The oxygen outlet of the molecular sieve oxygen generator 1 is connected with the oxygen analyzer 8. The exhaust valve 7 is an electromagnetic valve.
[0026] The electrochemical oxygen removal device 3 includes an air inlet and an air outlet, the air inlet is connected with the gas pump 4, and the air outlet is connected with the oxygen generating cabin 2.
[0027] The electrochemical oxygen removal device 3 is connected with the power supply 5. The power supply 5 is a direct current power supply.
[0028] The control module 9 is connected with the gas pump 4, the power supply 5, the pressure sensor 6, the exhaust valve 7, and the oxygen analyzer 8 respectively.
[0029] The electrochemical deoxidizing device 3 comprises a deoxidizing sealed tank 100, an anode 200 and a cathode 300.
[0030] The deoxidizing sealed tank 100 contains an electrolyte solution.
[0031] The anode 200 and the cathode 300 are respectively inserted into the electrolyte solution, and the anode 200 and the cathode 300 are respectively connected to a power supply 5.
[0032] The gas inlet is below the liquid level of the electrolyte solution in the deoxidizing sealed tank 100, and the gas outlet is above the liquid level of the electrolyte solution in the deoxidizing sealed tank 100.
[0033] The anode 200 is a zinc sheet, and the cathode 300 is a silver sheet.
[0034] A one-way valve 10 is arranged between the gas inlet and the air pump 4.
[0035] The oxygen generating cabin 2 is provided with an observation window or is a transparent shell.
[0036] In this embodiment, the air pump 4 is used to introduce external gas into the deoxidizing sealed tank 100, and the power directly affects the amount of gas sent.
[0037] The electrochemical deoxidizing device 3 converts the spontaneous reaction of the silver-zinc battery into an electrolytic cell reaction, and drives the deoxidizing process by external electric energy. The specific principle and implementation are as follows: the external power supply changes the silver-zinc system into an electrolytic cell, the silver electrode acts as a cathode: the external power supply provides electrons, so that the oxygen is reduced at this place (O2+2H2O+4e - =4OH - ), and the oxygen is consumed; the zinc electrode acts as an anode: under the driving of the external power supply, the zinc can be oxidized into zinc ions (Zn-2e - =Zn 2+ ). The core function is that the external power supply provides additional electron transfer driving force, strengthens the reduction and consumption of oxygen on the surface of the silver electrode, and improves the deoxidizing efficiency.
[0038] The oxygen generating cabin 2 and the deoxidizing sealed tank 100 are designed to be connected in the middle, the molecular sieve oxygen generator 1 is placed in the oxygen generating cabin 2, the oxygen outlet is connected with the oxygen conveying pipeline. The oxygen measuring instrument 8 is located outside the oxygen generating cabin 2, which is used to measure the oxygen concentration output by the molecular sieve oxygen generator 1 in real time, and transmit the oxygen concentration data to the control module 9.
[0039] The direct current power supply is located on the cabin body of the deoxidizing sealed tank 100, and the output thereof is connected with the silver electrode and the zinc electrode in the deoxidizing sealed tank 100, wherein the silver electrode is connected with the negative electrode of the direct current power supply, and the zinc electrode is connected with the positive electrode of the direct current power supply. The output current of the direct current power supply directly affects the electrochemical deoxidizing reaction, and the greater the current, the better the deoxidizing effect.
[0040] The pressure sensor in the application is used for measuring the air pressure in the oxygen production cabin 2 in real time, and when the pressure in the cabin starts to increase (i.e. when the molecular sieve discharges the adsorbed nitrogen), the exhaust valve 7 is opened to prevent the air pressure in the cabin from being too high to cause the oxygen generator to malfunction and alarm.
[0041] The intelligent control circuit, i.e. the control module 9, is used for receiving the real-time data of the pressure sensor 6 and the oxygen meter 8, and through the particle swarm optimization algorithm, the power of the air pump, the output current of the direct current power supply and the opening and closing of the exhaust electromagnetic valve are controlled to gradually find the optimal solution, so as to realize that the output oxygen concentration is maintained at 82%.
[0042] Figure 1 The schematic diagram of the gas circulation path is shown in the figure. The content of each gas in the air is as follows: about 78% of nitrogen, about 21% of oxygen, about 0.94% of rare gas (helium, neon, argon, krypton, xenon, etc.), about 0.03% of carbon dioxide, and about 0.03% of other gases and impurities, including water vapor, dust, trace gases, etc. Therefore, the content of nitrogen + oxygen in the air is about 99%, and therefore only nitrogen and oxygen are considered in the application, and other gases are ignored.
[0043] The application utilizes the air pump to deliver air to the oxygen removal sealed bin 100; the electrolytic oxygen removal reaction is carried out in the oxygen removal sealed bin 100 to consume oxygen; the remaining nitrogen and a small amount of unconsumed oxygen enter the oxygen production cabin 2; the molecular sieve oxygen generator 1 works normally, the molecular sieve adsorbs nitrogen in the air, the unabsorbed oxygen is collected, and after purification treatment, high-purity oxygen can be obtained, which is output to the oxygen delivery pipe to discharge the oxygen production cabin 2; when the pressure is reduced, the molecular sieve discharges the adsorbed nitrogen back into the oxygen production cabin 2, and since the oxygen concentration in the oxygen production cabin 2 is low, the output oxygen concentration of the molecular sieve oxygen generator 1 will also decrease.
[0044] The control module 9 controls the exhaust electromagnetic valve to open according to the pressure in the oxygen production cabin 2 to discharge nitrogen from the oxygen production cabin 2, and complete one air circulation.
[0045] The exhaust electromagnetic valve and the air pump are discontinuous in operation, and the operation rule is as follows: when the molecular sieve oxygen generator 1 discharges the nitrogen adsorbed by the molecular sieve back into the oxygen production cabin 2, the pressure sensor detects that the pressure in the oxygen production cabin 2 starts to rise, at this time the control module 9 sends an opening instruction to the exhaust electromagnetic valve to discharge the excess nitrogen from the oxygen production cabin 2 to avoid the continuous increase of the air pressure in the oxygen production cabin 2, and at the same time, a certain heat dissipation effect is achieved. At the same time, the air pump starts to work to deliver air to the oxygen removal sealed bin 100, and when the pressure sensor detects that the molecular sieve oxygen generator discharges ends, the electromagnetic valve and the air pump are closed.
[0046] A small molecular sieve oxygen generator low oxygen concentration alarm test method based on the above small molecular sieve oxygen generator low oxygen concentration alarm test tool, comprising the following steps: The target oxygen concentration is set by the control module 9, and the target oxygen concentration is lower than the low oxygen concentration alarm value.
[0047] The oxygen content of the gas output by the molecular sieve oxygen generator 1 is detected in real time by the oxygen detector 8.
[0048] The control module 9 controls the power of the air pump 4 and the output current of the power supply 5 according to the relationship between the oxygen content of the gas measured by the oxygen detector 8 and the target oxygen concentration, until the oxygen concentration of the gas output by the molecular sieve oxygen generator 1 is maintained at the target oxygen concentration.
[0049] The low oxygen concentration alarm function of the small molecular sieve oxygen generator is detected and evaluated.
[0050] During the actual test, the target oxygen concentration should be set to 82% as required, and if the oxygen generator alarms at 82%, the target oxygen concentration is gradually increased to test the critical value at which the oxygen generator starts to alarm at low oxygen concentration.
[0051] The small molecular sieve oxygen generator low oxygen concentration alarm test method further includes the following steps: setting a target pressure value by the control module 9, and monitoring the pressure in the oxygen generating cabin 2 in real time by the pressure sensor 6.
[0052] The control module 9 controls the opening and closing of the exhaust valve 7 according to the relationship between the pressure value measured by the pressure sensor 6 and the target pressure value, so as to maintain the pressure in the oxygen generating cabin 2 below the target pressure value.
[0053] The present application adopts an intelligent algorithm (particle swarm optimization algorithm) to find the optimal solution of the direct current I and the air pump power P.
[0054] The core idea of the particle swarm optimization algorithm (PSO) is to simulate bird foraging, each "particle" represents a solution, and the position is updated by the individual and the group optimal position. Position = old position + new speed.
[0055] As shown in Figure 3 The small molecular sieve oxygen generator low oxygen concentration alarm test method specifically includes the following steps: S1, set the target oxygen concentration A, t is the iteration coefficient, A best is the current optimal solution. Because the pressure is one of the conditions affecting the oxygen concentration, the oxygen concentration can be controlled to meet the requirements of pressure control at the same time, so the actual target is only the oxygen concentration.
[0056] S2, let t be 0, A best is 0, randomly generate particles (I t , P t ) and speed (x t , y t). The initial velocity can be randomly generated or by experience value, which can be a random number between [Vmin, Vmax], wherein Vmin and Vmax are determined according to the range of the search, i.e. the extreme values of the direct current I and the power P of the air pump. The specific setting method is a routine technical means in the art, which is not described here.
[0057] S3, record the data A of the oxygen meter 8 t .
[0058] S4, if |A t -A|<|A best -A|, i.e. the current oxygen concentration A t deviates from the target value less than the current optimal solution and the target value, then the current solution (I t , P t ) is taken as the current optimal solution (I best , P best ), A best =A t .
[0059] S5, if |A t -A|≥|A best -A|, the current optimal solution is not updated.
[0060] S6, update the inertia weight: ε i+1 =ε max -(ε max -ε min )(t+1) / T max , wherein ε max is the maximum value of the inertia weight, ε min is the minimum value of the inertia weight, and T max is the maximum number of iterations. The inertia weight is determined by initially setting the maximum value, the minimum value and the number of iterations, and the inertia weight is dynamically adjusted to be gradually smaller with the increase of the number of iterations, i.e. large-scale global search is realized in the early stage of iteration, the range is gradually reduced, fine search is realized, and the efficiency is improved. The specific method is a routine technical means in the art, which is not described here.
[0061] S7, update the velocity: let x t+1 =ε i+1 x t+2 (I best -I t ), y t+1 =ε i+1 y t+2 (P best -P t ).
[0062] S8, update the particle position: I t+1 =I t +xt+1 , P t+1 = P t + y t+1 .
[0063] S9, if the current oxygen concentration and A t the oxygen concentration A t-1 of the last iteration cycle are all the target oxygen concentration A, then the optimal solution is found, and the test condition is reached.
[0064] S10, if the optimal solution is not found, then let t = t + 1, and return to step S3.
Claims
1. A low oxygen concentration alarm test tool for a small molecular sieve oxygen concentrator, characterized by: It includes a molecular sieve oxygen generator (1), an oxygen generator cabin (2), an electrochemical deoxygenation device (3), an air pump (4), a power supply (5), a pressure sensor (6), an exhaust valve (7), an oxygen meter (8) and a control module (9); The molecular sieve oxygen generator (1) is arranged in an oxygen production cabin (2), the oxygen production cabin (2) is sealed, and a pressure sensor (6) and an exhaust valve (7) are provided on the oxygen production cabin (2); The oxygen outlet of the molecular sieve oxygen generator (1) is connected to the oxygen meter (8); The electrochemical deoxygenation device (3) comprises an air inlet and an air outlet, wherein the air inlet is connected to the air pump (4), and the air outlet is connected to the oxygen production cabin (2); The electrochemical deoxygenation device (3) is connected to a power source (5); The control module (9) is respectively connected to the air pump (4), the power supply (5), the pressure sensor (6), the exhaust valve (7), and the oxygen meter (8).
2. The low oxygen concentration alarm test tool for a small molecular sieve oxygen concentrator according to claim 1 is characterized by: The electrochemical deoxygenation device (3) comprises a deoxygenation sealed chamber (100), an anode (200) and a cathode (300); The deoxygenation sealed chamber (100) contains an electrolyte solution; The lower ends of the anode (200) and the cathode (300) are respectively inserted into the electrolyte solution, and the anode (200) and the cathode (300) are respectively connected to the power supply (5); The air inlet is located below the liquid level of the electrolyte solution in the deoxygenation sealed chamber (100), and the air outlet is located above the liquid level of the electrolyte solution in the deoxygenation sealed chamber (100).
3. The low oxygen concentration alarm test tool for a small molecular sieve oxygen concentrator according to claim 2 is characterized in that: The anode (200) is a zinc sheet, and the cathode (300) is a silver sheet.
4. The low oxygen concentration alarm test tool for a small molecular sieve oxygen concentrator according to claim 2 is characterized in that: A one-way valve (10) is provided between the air inlet and the air pump (4).
5. The low oxygen concentration alarm test tool for a small molecular sieve oxygen concentrator according to claim 1 is characterized in that: The oxygen production cabin (2) is provided with an observation window or is a transparent shell.
6. The low oxygen concentration alarm test tool for a small molecular sieve oxygen concentrator according to claim 1 is characterized by: The power supply (5) is a direct current power supply.
7. The low oxygen concentration alarm test tool for a small molecular sieve oxygen concentrator according to claim 1 is characterized by: The exhaust valve (7) is a solenoid valve.
8. A method for testing low oxygen concentration alarms for a small molecular sieve oxygen concentrator, based on the tooling for testing low oxygen concentration alarms for a small molecular sieve oxygen concentrator according to any one of claims 1 to 7, characterized in that: Setting a target oxygen concentration through a control module (9), the target oxygen concentration being lower than a low oxygen concentration alarm value; Using an oxygen meter (8) to detect in real time the oxygen content of the gas output by the molecular sieve oxygen generator (1); The control module (9) controls the power of the air pump (4) and the output current of the power supply (5) using a particle swarm optimization algorithm according to the relationship between the oxygen content of the gas measured by the oxygen meter (8) and the target oxygen concentration, until the oxygen concentration of the gas output by the molecular sieve oxygen generator (1) is maintained at the target oxygen concentration; Test and evaluate the low oxygen concentration alarm function of a small molecular sieve oxygen concentrator.
9. The low oxygen concentration alarm test method for a small molecular sieve oxygen concentrator according to claim 8, characterized in that: The following steps are also included: A target pressure value is set through a control module (9), and the pressure in the oxygen chamber (2) is monitored in real time using a pressure sensor (6); The control module (9) controls the opening and closing of the exhaust valve (7) according to the relationship between the pressure value measured by the pressure sensor (6) and the target pressure value, so as to maintain the pressure in the oxygen chamber (2) below the target pressure value.
10. The low oxygen concentration alarm test method for a small molecular sieve oxygen concentrator according to claim 8, characterized in that: The following steps are involved: S1. Set the target oxygen concentration A, t is the iteration coefficient, A best is the current optimal solution; S2, let t be 0, A best is 0, randomly generate particles (I t , P t ) and speed (x t ,y t ); S3. Record the oxygen meter (8) data A t ; S4. If |A t -A|<|A best -A|, that is, the current oxygen concentration A t If the deviation from the target value is less than the deviation between the current optimal solution and the target value, the current solution (I t , P t ) as the current optimal solution (I best , P best ), A best =A t ; S5. If |A t -A|≥|A best -A|, the current optimal solution will not be updated; S6. Update inertia weight: ε i+1 =ε max -(ε max -ε min )(t+1) / T max , where ε max is the maximum value of inertia weight, ε min is the minimum inertia weight, T max is the maximum number of iterations; S7, update speed: let x t+1 =ε i+1 x t+2 (I best -I t )、y t+1 =ε i+1 y t+2 (P best -P t ); S8. Update particle position: I t+1 =I t +x t+1 、P t+1 =P t +y t+1 ; S9, if the current oxygen concentration is t Oxygen concentration A of the previous iteration cycle t-1 If both are target oxygen concentrations A, then the optimal solution is found and the test conditions are met; S10. If the optimal solution is not found, set t=t+1 and return to step S3.