A high-precision oxygen concentration monitoring method, system and intelligent oxygen generator

Abstract

The present invention relates to the field of chemical and physical measurement technology, and proposes a high-precision monitoring method, system and intelligent oxygen concentrator for oxygen concentration, including: obtaining temperature and humidity data at several moments, detecting oxygen concentration data and standard oxygen concentration data; obtaining the time lag between different temperature and humidity sensors; obtaining several similar moments of the current moment of the terminal temperature and humidity sensor; obtaining the temperature change influence coefficient and humidity change influence coefficient of each temperature and humidity sensor on the terminal temperature and humidity sensor at the current moment; obtaining the temperature prediction value and humidity prediction value of the terminal temperature and humidity sensor at the next moment; combining the detected oxygen concentration data, obtaining the corrected oxygen concentration data, and comparing it with the standard oxygen concentration data to obtain the final oxygen concentration data at the current moment. The present invention aims to solve the problem that the electrochemical oxygen sensor in the oxygen concentrator is affected by the ambient temperature and humidity, resulting in inaccurate oxygen output control.

Description

Technical Field

[0001] The present invention relates to the technical field of chemical and physical measurement, and in particular to a high-precision monitoring method and system for oxygen concentration and an intelligent oxygen generator. Background Art

[0002] As a key health equipment, oxygen concentrators are widely used in home care, medical treatment, and oxygen supply in special environments such as plateaus and aviation. They are particularly important in oxygen therapy for patients with chronic obstructive pulmonary disease, and can effectively improve patients' blood oxygen saturation and improve their quality of life. In addition, during emergency treatment and surgery, oxygen concentrators can provide stable high-purity oxygen to support the maintenance of vital signs. Oxygen concentrators play a vital role in maintaining and improving the quality of life and ensuring health. However, most oxygen concentrators currently have certain errors in oxygen concentration monitoring, which makes it difficult to meet the demand for high-precision oxygen control. These errors may affect the reliability and effectiveness of oxygen concentrators, especially in situations where oxygen concentration requirements are more stringent, resulting in unstable oxygen supply quality.

[0003] Electrochemical oxygen sensors are common in portable, household, and medical oxygen concentrators because of their low cost and fast response speed, making them suitable for real-time monitoring of oxygen concentration. Although electrochemical oxygen sensors have the advantages of low cost and fast response, their measurement accuracy is easily affected by ambient temperature and humidity. When the ambient humidity is high, water molecules may interfere with the electrochemical reaction of the sensor, resulting in deviations in oxygen concentration measurement. In addition, temperature changes will also affect the chemical reaction rate inside the sensor, thereby affecting the accuracy of oxygen concentration readings. The impact of ambient temperature and humidity on electrochemical oxygen sensors may cause unstable oxygen concentration monitoring results in actual applications, especially in the case of long-term operation or large fluctuations in environmental conditions, which will cause problems for the precise control of oxygen output. Summary of the invention

[0004] The present invention provides a high-precision oxygen concentration monitoring method, system and intelligent oxygen concentrator to solve the problem that the electrochemical oxygen sensor in the existing oxygen concentrator is affected by the ambient temperature and humidity, resulting in inaccurate oxygen output control. The technical solution adopted is as follows:

[0005] The present invention proposes a high-precision monitoring method for oxygen concentration, which comprises the following steps:

[0006] Temperature and humidity sensors are arranged at different positions of the oxygen concentrator to obtain temperature and humidity data at certain times; the detected oxygen concentration data and standard oxygen concentration data at certain times are obtained through electrochemical oxygen sensors and high-precision oxygen analyzers respectively;

[0007] According to the correlation of the time series changes between the temperature and humidity data of different temperature and humidity sensors, the time lag between different temperature and humidity sensors is obtained; according to the temperature and humidity data of the terminal temperature and humidity sensor at different times, several similar moments of the current moment of the terminal temperature and humidity sensor are obtained;

[0008] Based on the changes in temperature and humidity data of the terminal temperature and humidity sensor at several similar moments and the adjacent temperature and humidity data at the current moment, as well as the temperature and humidity changes of other temperature and humidity sensors at adjacent moments, combined with the time lag of the terminal temperature and humidity sensor relative to other temperature and humidity sensors, the temperature change influence coefficient and humidity change influence coefficient of each temperature and humidity sensor on the terminal temperature and humidity sensor at the current moment are obtained; combined with the temperature and humidity data of other temperature and humidity sensors at the current moment, the temperature prediction value and humidity prediction value of the terminal temperature and humidity sensor at the next moment are obtained;

[0009] Based on the temperature prediction value and the humidity prediction value, combined with the detected oxygen concentration data, the corrected oxygen concentration data is obtained by adjusting the temperature correction coefficient and the humidity correction coefficient, and compared with the standard oxygen concentration data, the final temperature correction coefficient and the final humidity correction coefficient are determined to obtain the final oxygen concentration data at the current moment.

[0010] Optionally, the time lag between the different temperature and humidity sensors is specifically obtained by:

[0011] Let the current time be , No. The temperature sensor is relative to the Time lag of the temperature sensor The calculation method is:

[0012]

[0013] in, Indicates Temperature sensor Temperature data at a certain moment, Indicates Temperature sensor Temperature data at a certain moment, Indicates the current moment, Indicates the number before the current time a moment; Indicates Temperature sensor The data sequence of the last temperature data is Temperature sensor is the Pearson correlation coefficient between the data sequences of the last data, and the length of the data sequences is ,and , Indicates the preset data sequence length; It represents the function of finding the maximum point;

[0014] Based on The temperature sensor is relative to the The calculation method of the time lag of the temperature sensor is Temperature and humidity sensor relative to the The time lag of the temperature and humidity sensor.

[0015] Optionally, the obtained Temperature and humidity sensor relative to the The time lag of the temperature and humidity sensor includes the following specific methods:

[0016] Get the Humidity sensor relative to the Humidity sensor time lag ; The time lag of the temperature sensor is obtained Time lag with humidity sensor The mean value of Temperature and humidity sensor relative to the Time lag of temperature and humidity sensor .

[0017] Optionally, the specific method for obtaining several similar moments of the current moment of the terminal temperature and humidity sensor is as follows:

[0018] The terminal temperature and humidity sensor is at With the moment The difference in temperature and humidity The calculation method is:

[0019]

[0020] in, and Respectively represent the terminal temperature and humidity sensors at time and time Temperature data, and Respectively represent the terminal temperature and humidity sensors at time and time Humidity data, and They represent the temperature measurement range of the temperature sensor and the humidity measurement range of the humidity sensor respectively. represents the absolute value function;

[0021] According to the temperature and humidity differences of the terminal temperature and humidity sensor at different times, several similar moments of the current moment of the terminal temperature and humidity sensor are obtained.

[0022] Optionally, the method of obtaining several similar moments of the current moment of the terminal temperature and humidity sensor according to the temperature and humidity differences of the terminal temperature and humidity sensor at different moments includes the following specific methods:

[0023] Obtain the target temperature and humidity differences corresponding to several moments collected by the terminal temperature and humidity sensor, preset a similarity threshold, and take the corresponding moment when the target temperature and humidity difference is less than the similarity threshold as the similar moment of the current moment; wherein, the target temperature and humidity difference is the temperature and humidity difference between the terminal temperature and humidity sensor at several moments and the current moment.

[0024] Optionally, the temperature change influence coefficient and humidity change influence coefficient of each temperature and humidity sensor on the terminal temperature and humidity sensor at the current moment are specifically obtained by:

[0025] For the temperature data of any temperature sensor at any moment, the difference between the temperature data of the temperature sensor at that moment and the temperature data at the previous moment is recorded as the temperature change of the temperature sensor at that moment; the time lag of the terminal temperature and humidity sensor relative to other temperature and humidity sensors at each moment is obtained;

[0026] The current moment The similar moments of , the current moment The influence coefficient of temperature change of the temperature sensor on the terminal temperature sensor The calculation method is:

[0027]

[0028] in, Indicates the current time The set of all similar moments of Representing a collection The number of elements in Indicates the terminal temperature sensor at time The temperature change under Indicates The temperature sensor is at The temperature change under Indicates time The lower end temperature and humidity sensor is relative to the Time lag of temperature and humidity sensor;

[0029] Get the current time Humidity sensor's influence on humidity change of terminal humidity sensor .

[0030] Optionally, the temperature prediction value and humidity prediction value of the terminal temperature and humidity sensor at the next moment are obtained by:

[0031]

[0032] in, Indicates the predicted temperature value of the terminal temperature and humidity sensor at the next moment. Indicates the current temperature data of the terminal temperature sensor. Indicates the current moment The temperature sensor's influence on the temperature change of the terminal temperature sensor, Indicates The temperature sensor is at The temperature change at the next moment is Indicates the current moment, the lower terminal temperature and humidity sensor is relative to the Time lag of temperature and humidity sensor;

[0033] Get the predicted humidity value of the terminal humidity sensor at the next moment.

[0034] Optionally, the corrected oxygen concentration data is obtained by:

[0035] The calculation formula for the corrected oxygen concentration data at the current moment is:

[0036]

[0037] in, Indicates the current time Corrected oxygen concentration data under Indicates the current time The oxygen concentration data under and They represent the predicted temperature and humidity values ​​of the terminal temperature and humidity sensor at the next moment, respectively. and Represent the reference temperature and reference humidity respectively. and They represent the temperature correction factor and the humidity correction factor respectively.

[0038] The present invention also proposes a high-precision monitoring system for oxygen concentration, which includes a memory, a processor, and a computer program stored in the memory and running on the processor, and the processor implements the steps of the above method when executing the computer program.

[0039] The present invention also proposes an intelligent oxygen concentrator, which comprises:

[0040] An oxygen concentrator, a plurality of sensors arranged in the oxygen concentrator, an oxygen concentration correction module and a flow meter, wherein the oxygen concentrator is a conventional oxygen concentrator in normal operation, the plurality of sensors include a plurality of temperature and humidity sensors arranged at different positions in the oxygen concentrator, and an electrochemical oxygen sensor arranged at an output port of the oxygen concentrator, the plurality of sensors are used to collect temperature and humidity data and oxygen concentration data of the oxygen concentrator, the oxygen concentration correction module implements the steps of the above method by calling a computer program to obtain final oxygen concentration data at each moment, and the flow meter monitors the output oxygen amount based on the obtained final oxygen concentration data at each moment.

[0041] The beneficial effects of the present invention are as follows: the present invention arranges temperature and humidity sensors at different stages during the operation of the oxygen concentrator, measures the changes in temperature and humidity data with the temperature and humidity sensors to reflect the movement process of the gas in the oxygen concentrator, and quantifies the time lag, so as to accurately predict the temperature and humidity of the terminal temperature and humidity sensor located close to the oxygen concentration sensor; wherein the correlation of time series changes is analyzed by analyzing the relationship between the temperature data and humidity data of different temperature and humidity sensors after considering the time in sequence of the temperature and humidity sensors, so as to quantify the time lag of different temperature and humidity sensors, which is used for quantifying the influence coefficient of other temperature and humidity sensors on the terminal temperature and humidity sensor in the future Provide a correction basis, that is, adjust the temperature and humidity data of other temperature and humidity sensors through the time lag, so as to improve the accuracy and authenticity of the influence coefficient calculation; by comparing the temperature and humidity changes at similar moments of the current moment and the corresponding moments of other temperature and humidity sensors adjusted by the time lag, determine the influence coefficient of the temperature and humidity changes of other temperature and humidity sensors on the terminal temperature and humidity sensor, and use this to predict the temperature and humidity data of the terminal temperature and humidity sensor at the next moment; thereby ignoring the influence of the sensor on the changes in the gas environment, thereby improving the accuracy of the oxygen concentration correction, and realizing the accurate monitoring and control of the output oxygen concentration of the intelligent oxygen generator. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0043] Figure 1 A schematic flow chart of a method for high-precision monitoring of oxygen concentration provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only 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.

[0045] See also Figure 1 , which shows a flow chart of a high-precision monitoring method for oxygen concentration provided by an embodiment of the present invention, the method comprising the following steps:

[0046] Step S001, arrange temperature and humidity sensors at different positions of the oxygen concentrator to obtain temperature and humidity data at several moments; obtain detection oxygen concentration data and standard oxygen concentration data at several moments through an electrochemical oxygen sensor and a high-precision oxygen analyzer respectively.

[0047] The purpose of this embodiment is to calibrate the oxygen concentration measured by the electrochemical oxygen sensor in the oxygen concentrator to ensure that the oxygen concentration measured under complex environmental conditions is sufficiently accurate, thereby ensuring accurate control of the oxygen concentrator; however, the oxygen concentration sensor is only arranged at the final gas output position in the oxygen concentrator, which does not take into account the temperature and humidity changes of the air input to the oxygen concentrator. Therefore, it is necessary to monitor the temperature and humidity at different positions in the oxygen concentrator to quantify the impact of temperature and humidity changes on oxygen concentration; at the same time, a high-precision oxygen analyzer is used as a reference measurement device. The high-precision oxygen analyzer is usually used in experimental scenarios. It is expensive but can provide reliable oxygen concentration readings. Therefore, accurate oxygen concentration data is obtained through it, and then used as standard oxygen concentration data to construct a correction method for the oxygen concentration data measured by the electrochemical oxygen sensor.

[0048] Specifically, after the air compressor of the oxygen generator compresses the air and before it enters the adsorber, a temperature and humidity sensor is arranged, which is the leftmost temperature and humidity sensor and is recorded as the first temperature and humidity sensor; before the compressed gas passes through the molecular sieve tower and enters the fine sieve tower, a temperature and humidity sensor is arranged, which is the second temperature and humidity sensor from left to right and is recorded as the second temperature and humidity sensor; before the gas passes through the fine sieve tower and is output through the flowmeter, a temperature and humidity sensor, an electrochemical oxygen sensor and a high-precision oxygen analyzer are arranged, which are the rightmost temperature and humidity sensor and are recorded as the third temperature and humidity sensor. At the same time, since it directly measures the oxygen concentration afterwards, The third temperature and humidity sensor is also recorded as the terminal temperature and humidity sensor; in the process of collecting temperature and humidity data for different temperature and humidity sensors, the sampling frequency is set to 1 second, the sampling frequency of the electrochemical oxygen sensor and the high-precision oxygen analyzer is also set to 1 second, and the collection starts after the oxygen generator starts working, then the temperature and humidity data of different temperature and humidity sensors at several moments are obtained, the oxygen concentration data collected by the electrochemical oxygen sensor is recorded as the detected oxygen concentration data, and the oxygen concentration data collected by the high-precision oxygen analyzer is recorded as the standard oxygen concentration data, then the detected oxygen concentration data and the standard oxygen concentration data at several moments are obtained.

[0049] It should be noted that gas compression will cause temperature increase and humidity changes, so placing a temperature and humidity sensor after compressing the gas can obtain initial environmental information; after passing through the molecular sieve tower, the oxygen is purified, but the temperature and humidity may still be affected, so placing a second temperature and humidity sensor will help monitor temperature and humidity fluctuations during the purification process; placing the terminal temperature and humidity sensor close to the oxygen sensor can directly monitor the environmental parameters of the oxygen sensor.

[0050] Step S002: according to the correlation of the time series changes between the temperature and humidity data of different temperature and humidity sensors, obtain the time lag between different temperature and humidity sensors; according to the temperature and humidity data of the terminal temperature and humidity sensor at different times, obtain several similar moments of the current moment of the terminal temperature and humidity sensor.

[0051] Preferably, in one embodiment of the present invention, according to the correlation of the time series changes between the temperature and humidity data of different temperature and humidity sensors, the time lag between different temperature and humidity sensors is obtained, and the specific method includes:

[0052] It should be noted that after the gas enters the air compressor of the oxygen concentrator, the time it takes to reach multiple different temperature and humidity sensors is different. Therefore, before considering the correlation between the gas temperature and humidity data at different stages, it is necessary to first analyze the time lag of the same gas arriving at different positions; after the compressed gas passes through the molecular sieve tower, the temperature and humidity will change. These changes have a certain time delay after the compressed gas passes through the molecular sieve tower. Therefore, through the cross-correlation analysis between the temperature data and humidity data of the two stages, the lag time of the compressed gas to the ambient temperature and humidity in the molecular sieve tower processing stage can be determined; before the purified gas after the molecular sieve reaches the oxygen sensor, the temperature and humidity will also change. The time delay of these changes can help predict the final working environment of the gas sensor and provide a basis for the subsequent adjustment of the calibration parameters of the oxygen sensor.

[0053] Specifically, the current time is recorded as , preset data sequence length, in this embodiment, the data sequence length is Narrate, in the Temperature sensor ( Temperature sensor in temperature and humidity sensor) and Take the temperature sensor as an example, and , then The temperature sensor is relative to the Time lag of the temperature sensor The calculation method is:

[0054]

[0055] in, Indicates Temperature sensor Temperature data at a certain moment, Indicates Temperature sensor Temperature data at a certain moment, Indicates the current moment, Indicates the number before the current time a moment; Indicates Temperature sensor The data sequence of the last temperature data is Temperature sensor is the Pearson correlation coefficient between the data sequences of the last data, and the lengths of the two data sequences are ,and Will not exceed range, Indicates the preset data sequence length; It means to find the maximum point function, that is, to get the corresponding value when the correlation coefficient reaches the maximum ,Should The output of the formula is .

[0056] It should be noted that, in a fixed-length data sequence, the current moment is taken as the final boundary. The temperature data sequence of the temperature sensor is based on Move backward and join the pre-selected The temperature sensor's temperature data sequence calculates the correlation coefficient. When the correlation coefficient reaches the maximum value, the corresponding , that is, the time lag between the two temperature sensors. When adjusted according to the time lag, the correlation between the temperature data series of the two temperature sensors reaches the maximum, that is, the change trends are the closest.

[0057] Further, according to The temperature sensor is relative to the Time lag of the temperature sensor The calculation method of Humidity sensor relative to the Humidity sensor time lag ; The time lag of the temperature sensor is obtained Time lag with humidity sensor The mean value of Temperature and humidity sensor relative to the Time lag of temperature and humidity sensor .

[0058] It should be noted that the final time lag is corrected and obtained through the correlation between the respective time series changes of the temperature and humidity data. However, during the operation of the oxygen concentrator, the operating power of the air compressor will change, and the gas flow rate in the oxygen concentrator will change due to different power modes. The time variation is the data that changes with time. At different current moments, the time lag of the temperature and humidity data of the gas is different.

[0059] It should be further explained that, on the basis of correcting the temperature and humidity data through the time lag, it is necessary to extract several moments similar to the temperature and humidity data at the current moment, so as to provide a basis for quantifying the impact of the first two temperature and humidity sensors on the terminal temperature and humidity sensor.

[0060] Preferably, in one embodiment of the present invention, based on the temperature and humidity data of the terminal temperature and humidity sensor at different times, several similar moments of the current moment of the terminal temperature and humidity sensor are obtained, including the specific method of:

[0061] By time With the moment For example, the temperature and humidity difference of the terminal temperature and humidity sensor at two times The calculation method is:

[0062]

[0063] in, and Respectively represent the terminal temperature and humidity sensors at time and time Temperature data, and Respectively represent the terminal temperature and humidity sensors at time and time Humidity data, and They represent the temperature measurement range of the temperature sensor and the humidity measurement range of the humidity sensor respectively. represents the absolute value function.

[0064] Obtain the target temperature and humidity differences corresponding to several moments collected by the terminal temperature and humidity sensor, preset a similarity threshold, and in this embodiment, the similarity threshold is described as 0.05. The corresponding moment when the target temperature and humidity difference is less than the similarity threshold is taken as the similar moment of the current moment; wherein, the target temperature and humidity difference is the temperature and humidity difference between the terminal temperature and humidity sensor at several moments and the current moment.

[0065] At this point, the correlation of time series changes is analyzed by considering the relationship between the temperature data and humidity data of different temperature and humidity sensors according to the sequence of temperature and humidity sensors after time, so as to quantify the time lag of different temperature and humidity sensors, and provide a correction basis for the subsequent quantification of the influence coefficient of other temperature and humidity sensors on the terminal temperature and humidity sensor, that is, the temperature and humidity data of other temperature and humidity sensors are adjusted by the time lag, so as to improve the accuracy and authenticity of the influence coefficient calculation.

[0066] Step S003, based on the changes in temperature and humidity data at several similar moments of the terminal temperature and humidity sensor at the current moment and the adjacent temperature and humidity data, as well as the temperature and humidity changes at adjacent moments of other temperature and humidity sensors, combined with the time lag of the terminal temperature and humidity sensor relative to other temperature and humidity sensors, obtain the temperature change influence coefficient and humidity change influence coefficient of each temperature and humidity sensor on the terminal temperature and humidity sensor at the current moment; combined with the temperature and humidity data of other temperature and humidity sensors at the current moment, obtain the temperature prediction value and humidity prediction value of the terminal temperature and humidity sensor at the next moment.

[0067] It should be noted that under different temperature and humidity conditions, as the molecular sieve adsorbs nitrogen in the compressed gas, the changes in its temperature and humidity are also different; for example, the molecular sieve may also affect the temperature of the gas while absorbing moisture, because the moisture absorption process is usually exothermic, resulting in a local increase in the gas temperature, which may affect the temperature and humidity readings of the second temperature sensor, thereby indirectly affecting the final temperature and humidity measurement; it is necessary to compare the change differences between the temperature and humidity data of the terminal temperature and humidity sensor and the corrected temperature and humidity data of other temperature and humidity sensors on the basis of correcting the temperature and humidity data with the time lag, so as to determine the influence coefficient of the temperature and humidity change.

[0068] Preferably, in one embodiment of the present invention, based on the changes in temperature and humidity data at several similar moments of the terminal temperature and humidity sensor at the current moment and the adjacent temperature and humidity data, as well as the temperature and humidity changes at adjacent moments of other temperature and humidity sensors, combined with the time lag of the terminal temperature and humidity sensor relative to other temperature and humidity sensors, the temperature change influence coefficient and humidity change influence coefficient of each temperature and humidity sensor on the terminal temperature and humidity sensor at the current moment are obtained, and the specific method included is:

[0069] For the temperature data of any temperature sensor at any moment, the difference between the temperature data of the temperature sensor at that moment and the temperature data at the adjacent previous moment is recorded as the temperature change of the temperature sensor at that moment; at the same time, since the time lag is affected by the current moment, the time lag at different moments will change. The time lag of the terminal temperature and humidity sensor relative to other temperature and humidity sensors at each moment is obtained according to the above method.

[0070] Furthermore, the current moment The similar moments of , then at the current moment The temperature sensor's influence on the temperature change of the terminal temperature sensor (third temperature sensor) The calculation method is:

[0071]

[0072] in, Indicates the current time The set of all similar moments of Representing a collection The number of elements in Indicates the terminal temperature sensor at time The temperature change under Indicates The temperature sensor is at The temperature change under Indicates time The lower end temperature and humidity sensor is relative to the The time lag of the temperature and humidity sensor.

[0073] Similarly, obtain the humidity change of each humidity sensor at each moment, and then obtain the current moment according to the above method. Humidity sensor's influence on humidity change of terminal humidity sensor .

[0074] It should be noted that after adjusting the time of other temperature and humidity sensors by time lag and obtaining the corresponding temperature and humidity changes, they are compared with the temperature and humidity changes at similar times to the current time in the terminal temperature and humidity sensor, and the influence coefficient of the temperature and humidity changes is obtained based on the ratio relationship.

[0075] It should be further explained that there will be a certain time delay in the detection of the temperature and humidity sensor, especially when the airflow speed is fast or the gas environment changes quickly. The sensor needs some time to respond to environmental changes and output data stably, which will affect the subsequent correction of oxygen concentration. In order to avoid the slow response of the temperature and humidity sensor to changes in the gas environment, which affects the subsequent correction of oxygen concentration, it is necessary to use the first and second temperature and humidity sensors to the temperature and humidity change influence coefficient of the terminal temperature and humidity sensor, and predict the temperature and humidity data of the terminal temperature and humidity sensor, and correct the oxygen concentration based on the temperature and humidity prediction value, ignoring the influence of the response speed of the temperature and humidity sensor.

[0076] Preferably, in one embodiment of the present invention, the temperature and humidity data of other temperature and humidity sensors at the current moment are combined to obtain the temperature prediction value and humidity prediction value of the terminal temperature and humidity sensor at the next moment, including the specific method of:

[0077] Current moment The predicted temperature value of the terminal temperature sensor at the next moment The calculation method is:

[0078]

[0079] in, Indicates the current temperature data of the terminal temperature sensor. Indicates the current moment The temperature sensor's influence on the temperature change of the terminal temperature sensor, Indicates The temperature sensor is at The temperature change at the next moment is Indicates the current moment, the lower terminal temperature and humidity sensor is relative to the The time lag of the temperature and humidity sensor.

[0080] Similarly, obtain the humidity prediction value of the terminal humidity sensor at the next moment.

[0081] What needs to be explained is that, based on the temperature and humidity of the terminal temperature and humidity sensor, the temperature and humidity change of the terminal temperature and humidity sensor at the next moment after the current moment is predicted through the temperature and humidity change of the first and second temperature and humidity sensors at the corresponding moment adjusted by the time lag. During the prediction process, the influence coefficient of the temperature and humidity change of the terminal temperature and humidity sensor is adjusted through other temperature and humidity sensors, so as to obtain the predicted temperature and humidity value of the terminal temperature and humidity sensor at the next moment.

[0082] At this point, by comparing the temperature and humidity changes at similar moments of the current moment and the corresponding moments in other temperature and humidity sensors adjusted after the time lag, the influence coefficient of the temperature and humidity changes of other temperature and humidity sensors on the terminal temperature and humidity sensor is determined, and the temperature and humidity data of the terminal temperature and humidity sensor at the next moment is predicted, so as to avoid the influence of oxygen concentration correction caused by the slow response speed of the sensor to changes in the gas environment.

[0083] Step S004: Based on the temperature prediction value and the humidity prediction value, combined with the detected oxygen concentration data, the corrected oxygen concentration data is obtained by adjusting the temperature correction coefficient and the humidity correction coefficient, and compared with the standard oxygen concentration data, the final temperature correction coefficient and the final humidity correction coefficient are determined, and the final oxygen concentration data at the current moment is obtained, so as to realize high-precision oxygen concentration monitoring of the intelligent oxygen concentrator.

[0084] It should be noted that the oxygen concentration data can be corrected based on the predicted temperature and humidity values ​​of the terminal temperature and humidity sensor at the next moment. The performance of the electrochemical oxygen sensor is affected by environmental conditions. Temperature changes will change the electrochemical reaction rate of the sensor, and humidity may cause deviation or drift of the sensor signal. By introducing a correction coefficient, the oxygen concentration output by the sensor can be dynamically adjusted to compensate for the influence of these environmental factors, thereby improving the accuracy and reliability of oxygen concentration measurement.

[0085] Specifically, preset temperature correction coefficient and humidity correction factor , the correction coefficient is a parameter to be determined; at the same time, the reference temperature is preset and base humidity , this embodiment adopts and Describe; the calculation formula for the corrected oxygen concentration data at the current moment is:

[0086]

[0087] in, Indicates the current time Corrected oxygen concentration data under Indicates the current time The oxygen concentration data detected under and They represent the predicted temperature and humidity values ​​of the terminal temperature and humidity sensor at the next moment, respectively. and Represent the reference temperature and reference humidity respectively. and They represent the temperature correction factor and the humidity correction factor respectively.

[0088] Furthermore, at the current moment The standard oxygen concentration data under , it is necessary to ensure that the error between the standard oxygen concentration data and the corrected oxygen concentration data is small enough; during the experiment, the temperature and humidity data of the input air are continuously changed, and the detected oxygen concentration data at different times are corrected by the above formula, and the standard oxygen concentration data obtained by the high-precision oxygen analyzer at the corresponding time is recorded at the same time. In this way, the least squares method is used to make the difference between the corrected oxygen concentration data and the standard oxygen concentration data the smallest at different times, and the corresponding temperature correction coefficient and humidity correction coefficient are obtained, and used as the final temperature correction coefficient and the final humidity correction coefficient, and the corrected oxygen concentration data calculated according to the above formula is used as the final oxygen concentration data at the current moment, so as to realize the accurate monitoring of the oxygen concentration of the intelligent oxygen concentrator.

[0089] At this point, by deploying temperature and humidity sensors at different stages during the operation of the oxygen concentrator, the temperature and humidity sensors are used to measure the changes in temperature and humidity data to reflect the movement of gas in the oxygen concentrator, and the time lag is quantified. In this way, accurate temperature and humidity predictions can be made for the terminal temperature and humidity sensors located close to the oxygen concentration sensor, thereby ignoring the influence of changes in the gas environment on the sensor, thereby improving the accuracy of oxygen concentration correction and realizing accurate monitoring and control of the output oxygen concentration of the intelligent oxygen concentrator.

[0090] Another embodiment of the present invention provides a high-precision monitoring system for oxygen concentration, which includes a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, steps S001 to S004 of the above method are implemented.

[0091] Another embodiment of the present invention provides an intelligent oxygen concentrator, the intelligent oxygen concentrator comprising:

[0092] An oxygen concentrator, a plurality of sensors arranged in the oxygen concentrator, an oxygen concentration correction module and a flow meter, wherein the oxygen concentrator is a conventional oxygen concentrator in normal operation, the plurality of sensors include a plurality of temperature and humidity sensors arranged at different positions in the oxygen concentrator, and an electrochemical oxygen sensor arranged at an output port of the oxygen concentrator, the plurality of sensors are used to collect temperature and humidity data and oxygen concentration data of the oxygen concentrator, the oxygen concentration correction module implements steps S001 to S004 of the above method by calling a computer program to obtain final oxygen concentration data at each moment, and the flow meter monitors the output oxygen amount based on the obtained final oxygen concentration data at each moment.

[0093] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A high-precision monitoring method for oxygen concentration, characterized in that: The method comprises the following steps: Temperature and humidity sensors are arranged at different positions of the oxygen concentrator to obtain temperature and humidity data at certain times; the detected oxygen concentration data and standard oxygen concentration data at certain times are obtained through electrochemical oxygen sensors and high-precision oxygen analyzers respectively; According to the correlation of the time series changes between the temperature and humidity data of different temperature and humidity sensors, the time lag between the different temperature and humidity sensors is obtained; according to the temperature and humidity data of the terminal temperature and humidity sensor at different times, several similar moments of the current moment of the terminal temperature and humidity sensor are obtained; wherein the similar moments are the moments corresponding to the temperature and humidity differences within the preset threshold range; Based on the changes in temperature and humidity data of the terminal temperature and humidity sensor at several similar moments and the adjacent temperature and humidity data at the current moment, as well as the temperature and humidity changes of other temperature and humidity sensors at adjacent moments, combined with the time lag of the terminal temperature and humidity sensor relative to other temperature and humidity sensors, the temperature change influence coefficient and humidity change influence coefficient of each temperature and humidity sensor on the terminal temperature and humidity sensor at the current moment are obtained; combined with the temperature and humidity data of other temperature and humidity sensors at the current moment, the temperature prediction value and humidity prediction value of the terminal temperature and humidity sensor at the next moment are obtained; Based on the temperature prediction value and the humidity prediction value, combined with the detected oxygen concentration data, the corrected oxygen concentration data is obtained by adjusting the temperature correction coefficient and the humidity correction coefficient, and compared with the standard oxygen concentration data, the final temperature correction coefficient and the final humidity correction coefficient are determined to obtain the final oxygen concentration data at the current moment; The temperature prediction value and humidity prediction value of the terminal temperature and humidity sensor at the next moment are obtained in the following specific method: in, Indicates the predicted temperature value of the terminal temperature and humidity sensor at the next moment. Indicates the current temperature data of the terminal temperature sensor. Indicates the current moment The temperature sensor's influence on the temperature change of the terminal temperature sensor, Indicates The temperature sensor is at The temperature change at the next moment is The difference between the temperature data at the moment and the temperature data at the previous moment, Indicates the current moment, the lower terminal temperature and humidity sensor is relative to the Time lag of temperature and humidity sensor; Get the predicted humidity value of the terminal humidity sensor at the next moment; The corrected oxygen concentration data is specifically obtained by: The calculation formula for the corrected oxygen concentration data at the current moment is: in, Indicates the current time Corrected oxygen concentration data under Indicates the current time The oxygen concentration data detected under and They represent the predicted temperature and humidity values ​​of the terminal temperature and humidity sensor at the next moment, respectively. and Represent the reference temperature and reference humidity respectively. and They represent the temperature correction factor and the humidity correction factor respectively.

2. A high-precision monitoring method for oxygen concentration according to claim 1, characterized in that: The time lag between the different temperature and humidity sensors is specifically obtained by: Let the current time be , No. The temperature sensor is relative to the Time lag of the temperature sensor The calculation method is: in, Indicates Temperature sensor Temperature data at a certain moment, Indicates Temperature sensor Temperature data at a certain moment, Indicates the current moment, Indicates the number before the current time a moment; Indicates Temperature sensor The data sequence of the last temperature data is Temperature sensor is the Pearson correlation coefficient between the data sequences of the last data, and the length of the data sequences is ,and , Indicates the preset data sequence length; It represents the function of finding the maximum point; Based on The temperature sensor is relative to the The calculation method of the time lag of the temperature sensor is Temperature and humidity sensor relative to the The time lag of the temperature and humidity sensor.

3. A high-precision monitoring method for oxygen concentration according to claim 2, characterized in that: The obtained Temperature and humidity sensor relative to the The time lag of the temperature and humidity sensor includes the following specific methods: Get the Humidity sensor relative to the Humidity sensor time lag ; The time lag of the temperature sensor is obtained Time lag with humidity sensor The mean value of Temperature and humidity sensor relative to the Time lag of temperature and humidity sensor .

4. The high-precision monitoring method for oxygen concentration according to claim 1, characterized in that: The specific acquisition method of several similar moments of the current moment of the terminal temperature and humidity sensor is as follows: The terminal temperature and humidity sensor is at With the moment The difference in temperature and humidity The calculation method is: in, and Respectively represent the terminal temperature and humidity sensors at time and time Temperature data, and Respectively represent the terminal temperature and humidity sensors at time and time Humidity data, and They represent the temperature measurement range of the temperature sensor and the humidity measurement range of the humidity sensor respectively. represents the absolute value function; According to the temperature and humidity differences of the terminal temperature and humidity sensor at different times, several similar moments of the current moment of the terminal temperature and humidity sensor are obtained.

5. A high-precision monitoring method for oxygen concentration according to claim 4, characterized in that: The specific method of obtaining several similar moments of the current moment of the terminal temperature and humidity sensor according to the temperature and humidity differences between the terminal temperature and humidity sensors at different moments includes: Obtain the target temperature and humidity differences corresponding to several moments collected by the terminal temperature and humidity sensor, preset a similarity threshold, and take the corresponding moment when the target temperature and humidity difference is less than the similarity threshold as the similar moment of the current moment; wherein, the target temperature and humidity difference is the temperature and humidity difference between the terminal temperature and humidity sensor at several moments and the current moment.

6. A high-precision monitoring method for oxygen concentration according to claim 2, characterized in that: The specific method for obtaining the temperature change influence coefficient and humidity change influence coefficient of each temperature and humidity sensor on the terminal temperature and humidity sensor at the current moment is as follows: For the temperature data of any temperature sensor at any moment, the difference between the temperature data of the temperature sensor at that moment and the temperature data at the previous moment is recorded as the temperature change of the temperature sensor at that moment; the time lag of the terminal temperature and humidity sensor relative to other temperature and humidity sensors at each moment is obtained; The current moment The similar moments of , the current moment The influence coefficient of temperature change of the temperature sensor on the terminal temperature sensor The calculation method is: in, Indicates the current time The set of all similar moments of Representing a collection The number of elements in Indicates the terminal temperature sensor at time The temperature change under Indicates The temperature sensor is at The temperature change under Indicates time The lower end temperature and humidity sensor is relative to the Time lag of temperature and humidity sensor; Get the current time Humidity sensor's influence on humidity change of terminal humidity sensor .

7. A high-precision oxygen concentration monitoring system, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the high-precision monitoring method for oxygen concentration as described in any one of claims 1 to 6 are implemented.

8. An intelligent oxygen concentrator, characterized in that: The intelligent oxygen concentrator comprises: An oxygen concentrator, a plurality of sensors arranged in the oxygen concentrator, an oxygen concentration correction module and a flow meter, wherein the oxygen concentrator is a conventional oxygen concentrator in normal operation, the plurality of sensors include a plurality of temperature and humidity sensors arranged at different positions in the oxygen concentrator, and an electrochemical oxygen sensor arranged at an output port of the oxygen concentrator, the plurality of sensors are used to collect temperature and humidity data and oxygen concentration data of the oxygen concentrator, the oxygen concentration correction module implements the steps of a high-precision oxygen concentration monitoring method as described in any one of claims 1 to 6 by calling a computer program to obtain final oxygen concentration data at each moment, and the flow meter monitors the output oxygen amount based on the obtained final oxygen concentration data at each moment.

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