Medical oxygen generator multi-source information fusion monitoring and evaluation method and system

Abstract

The invention relates to the technical field of oxygen supply monitoring, regulation and control, and discloses a medical oxygenerator multi-source information fusion monitoring evaluation method and system, and the method comprises the following steps: S101, collecting the equipment operation parameters and environment parameters of a medical oxygenerator in real time, and obtaining the physiological demand data of a patient; s102, on the basis of the equipment operation parameters and the environment parameters, constructing coupling characteristics for representing the operation state of the oxygen generator; s103, establishing an environmental quantitative influence model of the environmental parameters on the oxygen production efficiency; s104, performing coupling analysis on the basis of the physiological demand parameters of the patient, the coupling characteristics and the environmental quantitative influence model, and determining a dynamic oxygen supply regulation and control strategy; and S105, monitoring the running state of the oxygen generator in real time, and triggering graded early warning when the oxygen generator is abnormal. Through multi-source data fusion and intelligent regulation and control, the oxygen supply demand of a patient is accurately matched, the environmental adaptability is optimized, the oxygen supply efficiency is improved, a grading early warning mechanism is integrated, intelligent monitoring and abnormal protection are achieved, and the safety and reliability of the oxygen generator are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of oxygen supply monitoring and regulation, and particularly relates to a multi-source information fusion monitoring and evaluation method and system for medical oxygen generators. Background Art

[0002] Medical oxygen generators are important oxygen supply devices widely used in medical institutions, and the reliability of their operating states is directly related to the life safety and clinical treatment effects of patients. Existing monitoring methods for medical oxygen generators mainly focus on single data sources or simple data superposition analysis, usually limited to basic device parameters such as temperature, pressure, and flow rate, ignoring the significant impact of environmental factors such as humidity and temperature changes on oxygen production efficiency; at the same time, data fusion methods generally lack the support of physical mechanisms and are difficult to effectively correct monitoring errors caused by parameter fluctuations such as pressure and temperature during operation. In addition, there is a lack of effective data coupling between current device monitoring and the actual clinical needs of patients, making it difficult to achieve precise oxygen supply regulation, which may result in oxygen waste or insufficient oxygen supply for patients. Summary of the Invention

[0003] The present invention provides a multi-source information fusion monitoring and evaluation method and system for medical oxygen generators, which solves the technical problems in related technologies that the lack of comprehensive consideration of environmental factors and patient needs leads to inaccurate oxygen supply regulation, large monitoring errors, and causes oxygen waste or insufficient oxygen supply.

[0004] The present invention provides a multi-source information fusion monitoring and evaluation method and system for medical oxygen generators, including the following steps:

[0005] S101, Collect the device operation parameters and environmental parameters of the medical oxygen generator in real time, and obtain the physiological demand data of the patient;

[0006] S102, Based on the device operation parameters and environmental parameters, construct a coupling feature for characterizing the operation state of the oxygen generator;

[0007] S103, Based on the correlation between environmental parameters and oxygen production efficiency, establish an environmental quantitative impact model of environmental parameters on oxygen production efficiency;

[0008] S104, Conduct coupling analysis based on the patient physiological demand parameters, coupling features, and environmental quantitative impact model to determine the dynamic oxygen supply regulation strategy;

[0009] S105, Based on the coupling features, environmental quantitative impact model, and dynamic oxygen supply regulation strategy, monitor the operation state of the oxygen generator in real time, and trigger a hierarchical early warning when abnormal.

[0010] Furthermore, the device operation parameters include: pressure, temperature, oxygen flow rate, and oxygen concentration, the environmental parameters include: humidity, environmental temperature, and atmospheric pressure, and the physiological demand parameters include: demand oxygen flow rate and demand oxygen concentration.

[0011] Furthermore, the specific steps of S102 include:

[0012] S201, constructing a load characteristic according to the equipment operation parameters and the environmental parameters, wherein the calculation formula of the load characteristic is: , Indicates the load characteristics, Indicates the real-time power consumption of the device. Indicates the pressure of the equipment. Indicates the oxygen flow rate, represents oxygen concentration, RH represents the humidity of the environment, Indicates the ambient temperature, Indicates the temperature of the device. and denote the first weight coefficient and the second weight coefficient respectively;

[0013] S202, constructing a gas path impedance characteristic according to the equipment operation parameters and the environmental parameters, wherein the calculation formula of the gas path impedance characteristic is: , Indicates the gas path impedance characteristics, and Respectively represent the maximum pressure and minimum pressure during the equipment operation cycle. and Respectively represent the maximum and minimum oxygen flow rate during the equipment operation cycle, represents the third weight coefficient;

[0014] S203, constructing an oxygen supply matching feature according to the equipment operation parameters and the environmental parameters, wherein the calculation formula of the oxygen supply matching feature is: , Indicates the oxygen supply matching characteristics, Indicates the patient's current oxygen flow requirement. Indicates the patient's current required oxygen concentration. Represents a minimum positive value.

[0015] Furthermore, the steps for constructing the environmental quantitative impact model include:

[0016] S301, establishing a humidity correction term and a temperature correction term based on the inhibitory effects of humidity and temperature on the molecular sieve adsorption efficiency, and correcting the preset benchmark oxygen production efficiency in turn;

[0017] S302, constructing a gas pressure correction term based on a gas flow equation to correct a preset reference oxygen production efficiency;

[0018] S303. Construct a comprehensive oxygen generation efficiency formula based on the humidity correction term, temperature correction term, and air pressure correction term. The comprehensive oxygen generation efficiency formula is as follows: , represents the comprehensive oxygen generation efficiency, represents the preset reference oxygen generation efficiency, represents the humidity correction coefficient, represents the adsorption activation energy of the molecular sieve, and R represents the gas constant, represents the current atmospheric pressure, represents the standard atmospheric pressure.

[0019] Furthermore, calculate the comprehensive oxygen generation efficiency according to the comprehensive oxygen generation efficiency formula of the environmental quantification impact model, and calculate the ratio of the actual oxygen demand to the actual oxygen supply capacity of the equipment based on the physiological demand parameters to obtain the target oxygen flow. Among them, the actual oxygen demand is obtained by multiplying the demand oxygen flow by the demand oxygen concentration, and the actual oxygen supply capacity is obtained by multiplying the comprehensive oxygen generation efficiency by the current oxygen concentration.

[0020] Furthermore, generate a dynamic oxygen supply regulation strategy based on the coupling characteristics constructed by the target oxygen flow and S102, including:

[0021] Flow regulation mechanism: Adjust the oxygen flow to the target oxygen flow;

[0022] Pressure regulation mechanism: Calculate the system pressure set value according to the gas path impedance characteristics, and adjust the pressure of the oxygen generator when the gas path impedance characteristics change;

[0023] Abnormal handling mechanism: When the load characteristics exceed the load threshold or the gas path impedance characteristics exceed the gas path impedance threshold, trigger a load reduction operation.

[0024] Furthermore, the system pressure set value is obtained by multiplying the target oxygen flow, gas path impedance characteristics, and gas path constant, where the gas path constant is determined by the equipment gas path structure.

[0025] Furthermore, the dynamic oxygen supply regulation strategy satisfies the following constraint conditions:

[0026] Load constraint: If the load characteristics exceed the load threshold, then limit the increase in oxygen flow not to exceed the preset safety value;

[0027] Gas path health constraint: If the gas path impedance characteristics exceed the gas path impedance threshold, then trigger a pressure reduction operation;

[0028] Matching degree constraint: If the oxygen supply matching degree is lower than the oxygen supply matching threshold, then trigger a flow-concentration coordinated adjustment, and the adjustment strategy is: give priority to adjusting the oxygen concentration, and the sub-optimal is to adjust the oxygen flow.

[0029] The present invention provides a multi-source information fusion monitoring and evaluation system for medical oxygen generators, including:

[0030] A data acquisition module for real-time collecting the device operation parameters and environmental parameters of the medical oxygen generator, and obtaining the physiological demand data of the patient;

[0031] A state feature construction module for constructing a coupling feature for characterizing the operation state of the oxygen generator according to the device operation parameters and environmental parameters;

[0032] An environmental impact modeling module for establishing an environmental quantitative impact model of environmental parameters on oxygen generation efficiency according to the correlation between environmental parameters and oxygen generation efficiency;

[0033] A dynamic oxygen supply regulation module for performing coupling analysis according to the patient physiological demand parameters, coupling features and environmental quantitative impact model to determine a dynamic oxygen supply regulation strategy;

[0034] A monitoring and early warning module for real-time monitoring the operation state of the oxygen generator according to the coupling features, environmental quantitative impact model and dynamic oxygen supply regulation strategy, and triggering a hierarchical early warning when abnormal.

[0035] The beneficial effects of the present invention are as follows: Through multi-source data fusion and intelligent dynamic regulation, the present invention realizes precise oxygen supply to ensure that the patient's needs are matched; based on the environmental quantitative impact model, the influence of humidity, temperature and air pressure on oxygen generation efficiency is corrected to improve the adaptability of the device in complex environments; flow-concentration collaborative optimization is adopted to reduce energy consumption while meeting the oxygen supply demand and improve the energy efficiency of the device; a hierarchical early warning mechanism is integrated to real-time monitor the device load, gas path impedance and oxygen supply matching degree to prevent abnormal oxygen supply and equipment failures; it solves the problems of inaccurate oxygen supply, poor environmental adaptability, low energy efficiency and insufficient equipment failure monitoring of traditional oxygen generators. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 is a flowchart of the multi-source information fusion monitoring and evaluation method for the medical oxygen generator of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0037] Now the subject matter described herein will be discussed with reference to example embodiments. It should be understood that discussing these embodiments is only to enable those skilled in the art to better understand and thus implement the subject matter described herein, and the functions and arrangements of the elements discussed can be changed without departing from the protection scope of the content of this specification. Each example can omit, substitute or add various processes or components as needed. Additionally, the features described relative to some examples can also be combined in other examples.

[0038] As Figure 1 shown, the multi-source information fusion monitoring and evaluation method for the medical oxygen generator includes the following steps:

[0039] S101, Collect the device operation parameters, environmental parameters of the medical oxygen generator in real time, and the physiological demand data of the patient;

[0040] S102, Based on the device operation parameters and environmental parameters, construct a coupling feature for characterizing the operation state of the oxygen generator;

[0041] S103, Based on the correlation between the environmental parameters and the oxygen production efficiency, establish an environmental quantification influence model of the environmental parameters on the oxygen production efficiency;

[0042] S104, Conduct a coupling analysis based on the patient physiological demand parameters, coupling feature, and environmental quantification influence model to determine the dynamic oxygen supply regulation strategy;

[0043] S105, Based on the coupling feature, environmental quantification influence model, and dynamic oxygen supply regulation strategy, monitor the operation state of the oxygen generator in real time and trigger a hierarchical warning when abnormal.

[0044] In an embodiment of the present invention, the device operation parameters include: pressure, temperature, oxygen flow rate, and oxygen concentration; the environmental parameters include: humidity, ambient temperature, and atmospheric pressure; the physiological demand parameters include: required oxygen flow rate and required oxygen concentration.

[0045] In an embodiment of the present invention, a piezoresistive pressure sensor is installed at the outlet of the air compressor and inside the molecular sieve tank to collect the internal gas pressure of the oxygen generator; thermistor sensors are arranged at the outlet of the compressor and on the surface of the molecular sieve tank to collect the device operation temperature; a thermal gas mass flowmeter is installed at the oxygen outlet end of the oxygen generator to monitor the oxygen flow rate; an ultrasonic oxygen concentration sensor is used to measure the oxygen concentration at the oxygen outlet end; current data is collected at the power input end of the main motor or compressor of the oxygen generator through a current transformer; a thermistor is used to collect the indoor ambient temperature in the device installation area; a resistive humidity sensor is used to collect humidity data; a piezoresistive barometric pressure sensor is used to measure the atmospheric pressure; the required oxygen flow rate and required oxygen concentration of the patient are set by the doctor according to the patient's condition and clinical guidelines.

[0046] In an embodiment of the present invention, the unit of pressure is kPa, the unit of temperature is °C, the unit of oxygen flow rate is L / min, the unit of oxygen concentration is %, the unit of current is A, the unit of ambient temperature is °C, the unit of humidity is %RH, and the unit of atmospheric pressure is kPa.

[0047] In an embodiment of the present invention, the specific steps of S102 include:

[0048] S201, Construct a load feature according to the device operation parameters and environmental parameters, where the calculation formula of the load feature is: , represents the load characteristic, which is used to measure the energy required for unit oxygen production and reflects the operating load of the device. An increase in this characteristic indicates an increase in the power consumption required for unit oxygen production, which may be due to too high a device load. Conversely, it indicates lower operating energy consumption of the device, which may be due to a better operating environment. represents the real-time power consumption of the device. represents the pressure of the device. represents the oxygen flow rate. represents the oxygen concentration, and RH represents the humidity of the environment. represents the ambient temperature. represents the temperature of the device. and respectively represent the first weight coefficient and the second weight coefficient, which are respectively used to correct the influence of humidity and ambient temperature on the load of the oxygen generator;

[0049] S202. Construct an air path impedance characteristic according to the device operating parameters and environmental parameters. Among them, the calculation formula of the air path impedance characteristic is: , represents the air path impedance characteristic, which is used to measure the air path impedance situation of the device and judge whether there is blockage or leakage in the air path system of the oxygen generator. and respectively represent the maximum pressure and the minimum pressure within the device operating cycle. and respectively represent the maximum value and the minimum value of the oxygen flow rate within the device operating cycle. represents the third weight coefficient, which is used to correct the influence of temperature on the air path pressure fluctuation. The device operating cycle refers to the time period for the medical oxygen generator to complete a complete working cycle.

[0050] S203. Construct an oxygen supply matching degree characteristic according to the device operating parameters and environmental parameters. Among them, the calculation formula of the oxygen supply matching degree characteristic is: , represents the oxygen supply matching degree characteristic, which is used to measure whether the current oxygen supply meets the patient's needs. The higher the oxygen supply matching degree characteristic, the better the oxygen supply effect. Conversely, the oxygen supply effect is worse. represents the current required oxygen flow rate of the patient, and this value is a preset value. represents the current required oxygen concentration of the patient, and this value is a preset value. represents a very small positive value to prevent the denominator from being zero.

[0051] In an embodiment of the present invention, the correlation between environmental parameters and oxygen production efficiency includes:

[0052] The increase in environmental humidity leads to a decrease in oxygen generation efficiency. Specifically, the ability of the molecular sieve to adsorb nitrogen is affected by air humidity, and high humidity will reduce the nitrogen adsorption efficiency, thereby reducing the oxygen concentration and oxygen generation efficiency.

[0053] The increase in environmental temperature leads to a decrease in oxygen generation efficiency. Specifically, the higher the temperature, the lower the rate of nitrogen adsorption by the molecular sieve, and the lower the working efficiency of the equipment.

[0054] The decrease in atmospheric pressure leads to a decline in oxygen generation efficiency. Specifically, atmospheric pressure affects air density and inlet air flow rate, thereby affecting oxygen generation efficiency.

[0055] In an embodiment of the present invention, the oxygen generator is operated under standard conditions to measure the reference oxygen generation efficiency, and the oxygen generator is respectively operated under different humidities, temperatures, and atmospheric pressures to measure the oxygen flow rate and oxygen concentration, and a quantitative relationship between environmental parameters and oxygen generation efficiency is established. The standard conditions are: humidity 40%, temperature 25°C, and atmospheric pressure 101.3 kPa.

[0056] In an embodiment of the present invention, the steps for constructing the environmental quantification influence model include:

[0057] S301, based on the inhibitory effects of humidity and temperature on the adsorption efficiency of the molecular sieve, establish a humidity correction term and a temperature correction term, and sequentially correct the preset reference oxygen generation efficiency. Specifically, first perform humidity correction and then temperature correction. The calculation formula for the humidity correction term is: , The calculation formula for the temperature correction term is: , represents the oxygen generation efficiency after humidity correction. represents the oxygen generation efficiency after temperature correction. represents the reference oxygen generation efficiency. represents the humidity correction coefficient, which is used to adjust the influence degree of humidity on the adsorption of the molecular sieve. represents the adsorption activation energy of the molecular sieve, R represents the gas constant, and the gas constant is 8.314 , determined through experiments;

[0058] S302, based on the gas flow equation, construct an air pressure correction term to correct the preset reference oxygen generation efficiency. Among them, the calculation formula for the air pressure correction term is: , represents the oxygen generation efficiency after atmospheric pressure correction. represents the current atmospheric pressure. represents the standard atmospheric pressure, that is, 101.3 kPa. represents the air pressure correction coefficient;

[0059] S303. Construct a comprehensive oxygen generation efficiency formula based on the humidity correction term, temperature correction term, and air pressure correction term. The comprehensive oxygen generation efficiency formula is as follows: , represents the comprehensive oxygen generation efficiency.

[0060] In an embodiment of the present invention, in the positive pressure environment of the operating room, the effective intake pressure of the oxygen generator needs to be greater than the minimum intake pressure threshold to ensure the normal operation of the oxygen generator. The effective intake pressure is obtained by subtracting the internal positive pressure value of the operating room from the atmospheric pressure of the equipment environment. If it is monitored that the effective intake pressure is less than the minimum intake pressure threshold, it is determined that the intake pressure is insufficient, and the abnormal alarm mechanism is triggered, the abnormal state is recorded, and the following measures are taken: prompt to adjust the installation position of the oxygen generator to reduce the intake resistance; adjust the ventilation system of the operating room to optimize the indoor and outdoor pressure difference; trigger the protection mode of the oxygen generator to prevent system failures caused by insufficient intake.

[0061] In an embodiment of the present invention, the comprehensive oxygen generation efficiency is calculated according to the comprehensive oxygen generation efficiency formula of the environmental quantification impact model, and the ratio of the actual oxygen demand to the actual oxygen supply capacity of the equipment is calculated according to the physiological demand parameters to obtain the target oxygen flow rate. The actual oxygen demand is obtained by multiplying the demand oxygen flow rate and the demand oxygen concentration, and the actual oxygen supply capacity is obtained by multiplying the comprehensive oxygen generation efficiency and the current oxygen concentration.

[0062] In an embodiment of the present invention, the comprehensive oxygen generation efficiency is calculated through the environmental quantification impact model, and the target oxygen flow rate is accurately calculated based on the patient's physiological demand parameters to ensure the oxygen supply matching. By dynamically adjusting the oxygen supply amount according to the ratio of the actual oxygen demand to the actual oxygen supply capacity of the equipment, it can accurately adapt to the needs of different patients, optimize the energy efficiency of the equipment at the same time, and avoid oxygen waste or insufficient oxygen supply. This method combines environmental impact, adaptive adjustment, and efficient calculation to make the oxygen supply system more intelligent, improve the patient's comfort, effectively extend the service life of the oxygen generation equipment, and reduce the operating cost.

[0063] In an embodiment of the present invention, a dynamic oxygen supply regulation strategy is generated based on the coupling characteristics constructed by the target oxygen flow rate and S102, including:

[0064] Flow regulation mechanism: Adjust the oxygen flow rate to the target oxygen flow rate;

[0065] Pressure regulation mechanism: Calculate the system pressure set value according to the gas path impedance characteristics, and adjust the pressure of the oxygen generator when the gas path impedance characteristics change to maintain the flow stability. For example, when the gas path is blocked and the gas path impedance characteristics increase, the pressure of the oxygen generator needs to be increased to maintain the target oxygen flow rate. When the gas path leaks and the gas path impedance decreases, the pressure of the oxygen generator needs to be reduced to avoid overpressure;

[0066] Abnormal handling mechanism: When the load characteristic exceeds the load threshold or the gas path impedance characteristic exceeds the gas path impedance threshold, a load reduction operation is triggered, that is, the load is reduced, such as reducing the oxygen flow rate, switching to a standby gas path, etc., to avoid damage or failure of the device due to overload.

[0067] In one embodiment of the present invention, the system pressure set value is obtained by multiplying the target oxygen flow rate, the gas path impedance characteristic, and the gas path constant. The calculation formula for the system pressure set value is: , where represents the system pressure set value, represents the target oxygen flow rate, K represents the gas path constant, where the gas path constant is determined by the gas path structure of the device and is measured through experiments.

[0068] In one embodiment of the present invention, the dynamic oxygen supply regulation strategy satisfies the following constraint conditions:

[0069] Load constraint: If the load characteristic exceeds the load threshold, then the increase in the oxygen flow rate is restricted not to exceed a preset safety value, such as 5%;

[0070] Gas path health constraint: If the gas path impedance characteristic exceeds the gas path impedance threshold, then a pressure reduction operation is triggered, that is, the device pressure is reduced;

[0071] Matching degree constraint: If the oxygen supply matching degree is lower than the oxygen supply matching threshold, then a flow-concentration coordinated adjustment is triggered. The adjustment strategy is: preferentially adjust the oxygen concentration, and secondarily adjust the oxygen flow rate to ensure that the total amount of oxygen actually inhaled by the patient meets the demand, and avoid insufficient oxygen supply or waste. The total amount of oxygen is the product of the oxygen flow rate and the oxygen concentration.

[0072] In one embodiment of the present invention, based on the load characteristic, the gas path impedance characteristic, the oxygen supply matching characteristic, and the comprehensive oxygen generation efficiency, the operating state of the oxygen generator is evaluated in real time. When any characteristic value exceeds the corresponding preset threshold or the comprehensive oxygen generation efficiency is lower than 70% of the reference oxygen generation efficiency, a hierarchical warning mechanism is triggered. The hierarchical warning mechanism includes:

[0073] When a single index exceeds the limit, a first-level warning is triggered. The warning action is: a pop-up window appears on the system interface, marking the abnormal index, and it is recommended to check the operating environment or the gas path state. For example, when only the load characteristic exceeds the load threshold, the warning action is: a pop-up window appears on the system interface, marking the load as too high, and it is recommended to check the operating environment;

[0074] When two indexes exceed the limit, a second-level warning is triggered. The warning action is: a buzzer alarm is triggered, the load reduction operation is automatically executed, and the standby gas path is switched. For example, when the load characteristic exceeds the limit and the comprehensive oxygen generation efficiency is lower than 80% of the reference oxygen generation efficiency, the increase in the oxygen flow rate is restricted to be less than 5%, and a prompt of "the oxygen supply efficiency has decreased, it is recommended to intervene manually" is given;

[0075] When the oxygen supply matching degree is less than 0.6 and the gas path impedance characteristic exceeds the limit, or when the comprehensive oxygen generation efficiency is lower than half of the reference oxygen generation efficiency, a third-level warning is triggered, and the warning action is: forced entry into the safe mode, the flow rate is reduced to the minimum guarantee value, non-core modules are closed, and an emergency fault code is uploaded.

[0076] In an embodiment of the present invention, a multi-source information fusion monitoring and evaluation system for a medical oxygen generator is further provided, including:

[0077] A data acquisition module for real-time collecting the device operation parameters and environmental parameters of the medical oxygen generator and obtaining the physiological demand data of the patient;

[0078] A state feature construction module for constructing a coupling feature for characterizing the operation state of the oxygen generator according to the device operation parameters and environmental parameters;

[0079] An environmental impact modeling module for establishing an environmental quantitative impact model of environmental parameters on the oxygen generation efficiency according to the correlation between environmental parameters and the oxygen generation efficiency;

[0080] A dynamic oxygen supply regulation module for performing coupling analysis according to the patient physiological demand parameters, coupling features and environmental quantitative impact model to determine a dynamic oxygen supply regulation strategy;

[0081] A monitoring and warning module for real-time monitoring the operation state of the oxygen generator according to the coupling features, environmental quantitative impact model and dynamic oxygen supply regulation strategy and triggering a hierarchical warning when abnormal.

[0082] The above describes the embodiments of the present invention, but the present invention is not limited to the above specific implementation manners. The above specific implementation manners are merely illustrative and not restrictive. Under the inspiration of this embodiment, those of ordinary skill in the art can also make many forms, all of which fall within the protection scope of this embodiment.

Claims

1. A multi-source information fusion monitoring and evaluation method for medical oxygen concentrators, characterized in that: The following steps are involved: S101, collecting equipment operating parameters and environmental parameters of the medical oxygen concentrator in real time, and obtaining the patient's physiological demand data; S102, constructing a coupling feature for characterizing an operating state of the oxygen concentrator based on the equipment operating parameters and the environmental parameters; S103, based on the correlation between the environmental parameters and the oxygen production efficiency, establishing an environmental quantitative impact model of the environmental parameters on the oxygen production efficiency; S104, performing coupling analysis based on the patient's physiological demand parameters, coupling characteristics and environmental quantitative impact model to determine a dynamic oxygen supply control strategy; S105, based on coupling characteristics, environmental quantitative impact model and dynamic oxygen supply control strategy, monitor the operating status of the oxygen generator in real time and trigger graded warnings when abnormalities occur.

2. The multi-source information fusion monitoring and evaluation method for medical oxygen concentrator according to claim 1 is characterized in that: Equipment operating parameters include: pressure, temperature, oxygen flow rate and oxygen concentration; environmental parameters include: humidity, ambient temperature and atmospheric pressure; physiological demand parameters include: required oxygen flow rate and required oxygen concentration.

3. The multi-source information fusion monitoring and evaluation method for medical oxygen concentrator according to claim 1 is characterized in that: The specific steps of S102 include: S201, constructing a load characteristic according to the device operation parameters and the environmental parameters, wherein the load characteristic is calculated by the ratio of the real-time power consumption of the device to the oxygen supply capacity of the device, and is corrected by combining the influence of the ambient temperature change and humidity; S202, constructing a gas circuit impedance characteristic according to the equipment operation parameters and the environmental parameters, wherein the gas circuit impedance characteristic is calculated by the ratio of the gas circuit pressure change to the oxygen flow fluctuation during the equipment operation cycle, and is corrected in combination with the change of the ambient temperature; S203, constructing an oxygen supply matching characteristic according to the equipment operation parameters and the environmental parameters, wherein the actual oxygen supply of the equipment is calculated by multiplying the current oxygen flow rate and the oxygen concentration, and the actual oxygen supply is compared with the product of the patient's required oxygen flow rate and the required oxygen concentration, thereby calculating the oxygen supply matching characteristic.

4. The multi-source information fusion monitoring and evaluation method for medical oxygen concentrator according to claim 3 is characterized in that: The steps to construct an environmental quantitative impact model include: S301, establishing a humidity correction term and a temperature correction term based on the inhibitory effects of humidity and temperature on the molecular sieve adsorption efficiency, and correcting the preset benchmark oxygen production efficiency in turn; S302, constructing a gas pressure correction term based on a gas flow equation to correct a preset reference oxygen production efficiency; S303: construct a comprehensive oxygen production efficiency formula based on the humidity correction term, the temperature correction term and the air pressure correction term.

5. The multi-source information fusion monitoring and evaluation method for medical oxygen concentrator according to claim 4 is characterized in that: The comprehensive oxygen production efficiency is calculated according to the comprehensive oxygen production efficiency formula of the environmental quantitative impact model, and the target oxygen flow rate is obtained by calculating the ratio of the actual oxygen demand to the actual oxygen supply capacity of the equipment according to the physiological demand parameters. The actual oxygen demand is obtained by multiplying the required oxygen flow rate and the required oxygen concentration, and the actual oxygen supply capacity is obtained by multiplying the comprehensive oxygen production efficiency and the current oxygen concentration.

6. The multi-source information fusion monitoring and evaluation method for medical oxygen concentrator according to claim 5 is characterized in that: Generate a dynamic oxygen supply control strategy based on the coupling characteristics of the target oxygen flow and S102, including: Flow control mechanism: adjust the oxygen flow to the target oxygen flow; Pressure control mechanism: Calculate the system pressure setting value according to the gas circuit impedance characteristics, and adjust the pressure of the oxygen concentrator when the gas circuit impedance characteristics change; Abnormal handling mechanism: When the load characteristic exceeds the load threshold or the gas path impedance characteristic exceeds the gas path impedance threshold, the load reduction operation is triggered.

7. The multi-source information fusion monitoring and evaluation method for medical oxygen concentrator according to claim 6 is characterized in that: The system pressure setting value is obtained by multiplying the target oxygen flow rate, the gas circuit impedance characteristic and the gas circuit constant, wherein the gas circuit constant is determined by the gas circuit structure of the equipment.

8. The multi-source information fusion monitoring and evaluation method for medical oxygen concentrator according to claim 1 is characterized in that: The dynamic oxygen supply control strategy meets the following constraints: Load constraint: If the load characteristic exceeds the load threshold, the oxygen flow rate increase is limited to not exceed the preset safety value; Gas path health constraint: If the gas path impedance characteristic exceeds the gas path impedance threshold, the pressure reduction operation is triggered; Matching degree constraint: If the oxygen supply matching degree is lower than the oxygen supply matching threshold, the flow-concentration coordinated adjustment is triggered. The adjustment strategy is: adjust the oxygen concentration first, and adjust the oxygen flow second best.

9. The multi-source information fusion monitoring and evaluation system for medical oxygen concentrators is characterized by: The multi-source information fusion monitoring and evaluation method for a medical oxygen concentrator as claimed in any one of claims 1 to 8 comprises: The data acquisition module is used to collect the equipment operating parameters and environmental parameters of the medical oxygen concentrator in real time and obtain the patient's physiological needs data; A state feature construction module is used to construct coupling features for characterizing the operating state of the oxygen concentrator according to the equipment operating parameters and environmental parameters; The environmental impact modeling module is used to establish an environmental quantitative impact model of environmental parameters on oxygen production efficiency based on the correlation between environmental parameters and oxygen production efficiency; Dynamic oxygen supply control module, which is used to conduct coupling analysis based on the patient's physiological demand parameters, coupling characteristics and environmental quantitative impact model to determine the dynamic oxygen supply control strategy; The monitoring and early warning module is used to monitor the operating status of the oxygen concentrator in real time according to the coupling characteristics, environmental quantitative impact model and dynamic oxygen supply control strategy, and trigger graded early warnings in case of abnormalities.

Images