CN117216483B - Flow monitoring data processing method for oxygenerator - Google Patents
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 31
- 238000003672 processing method Methods 0.000 title abstract description 7
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims abstract description 300
- 239000001301 oxygen Substances 0.000 claims abstract description 300
- 229910052760 oxygen Inorganic materials 0.000 claims abstract description 300
- 238000000034 method Methods 0.000 claims abstract description 61
- 238000005070 sampling Methods 0.000 claims abstract description 30
- 238000001595 flow curve Methods 0.000 claims abstract description 21
- 238000012163 sequencing technique Methods 0.000 claims abstract description 6
- 238000001914 filtration Methods 0.000 claims description 24
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- 238000000354 decomposition reaction Methods 0.000 claims description 10
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- 238000004364 calculation method Methods 0.000 claims description 3
- 230000000694 effects Effects 0.000 description 5
- 230000009467 reduction Effects 0.000 description 4
- 230000032683 aging Effects 0.000 description 3
- 230000000739 chaotic effect Effects 0.000 description 3
- 238000001514 detection method Methods 0.000 description 3
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 description 2
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- 230000005856 abnormality Effects 0.000 description 2
- 230000003044 adaptive effect Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 2
- 239000007789 gas Substances 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000009792 diffusion process Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 239000012535 impurity Substances 0.000 description 1
- 229910052757 nitrogen Inorganic materials 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
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Abstract
The invention relates to the technical field of data processing, in particular to an oxygenerator flow monitoring data processing method. The method comprises the following steps: acquiring an oxygen flow and flow data curve; decomposing the flow data curve into a plurality of oxygen signal components and sequencing; dividing the oxygen signal component into wave bands; acquiring a time sequence value of a wave band according to the abscissa of the amplitude value in the wave band; acquiring internal influence parameters of the oxygen signal component according to the amplitude and the number of sampling points of the oxygen signal component and the time sequence value and the number of the wave bands; acquiring external influence parameters according to the time sequence values of adjacent oxygen signal component wave bands; adding the two influencing parameters to obtain the resolution; obtaining the resolution of each oxygen signal component according to the resolution of the oxygen signal component; reconstructing all oxygen signal components into a standard flow curve; and finishing data processing according to the standard flow curve. The invention reduces the influence of noise and provides oxygen generation information more accurately.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to an oxygenerator flow monitoring data processing method.
Background
The oxygenerator usually removes nitrogen, moisture and other impurities in the air in a physical separation or chemical adsorption mode, so that high-purity oxygen is extracted, and the oxygenerator is widely applied to the fields of medical care, industry, aerospace and the like and provides high-purity oxygen supply. The oxygenerator can be applied to different scenes according to different oxygen generation concentrations and flow rates, and in the medical oxygenerator with higher precision requirements, the oxygen generation flow rate is more than 3LPM (liter per minute), continuous and uninterrupted oxygen output is supported, and in order to ensure the health and safety of a user, the oxygenerator can detect data such as the oxygen generation concentration and the flow rate. In addition, noise can be generated in the aspects of aging and the like of accessories of the oxygenerator, and because signal fluctuation is relatively fine fluctuation, a common denoising algorithm is difficult to denoise accurately, so that flow monitoring is inaccurate.
Disclosure of Invention
In order to solve the technical problem of inaccurate flow monitoring caused by noise, the invention provides an oxygenerator flow monitoring data processing method, which adopts the following technical scheme:
the invention provides a method for processing flow monitoring data of an oxygenerator, which comprises the following steps:
acquiring oxygen flow in preset time, and drawing the oxygen flow in the preset time into a flow data curve;
decomposing the flow data curve into a plurality of oxygen signal components and sequencing; the data points in the oxygen signal components are marked as sampling points, and the oxygen signal components are divided into a plurality of wave bands according to extreme values; acquiring a time sequence value of each wave band according to the abscissa of the maximum amplitude and the minimum amplitude in each wave band; acquiring internal influence parameters of the oxygen signal component according to the amplitude and the number of sampling points of the oxygen signal component and the time sequence value and the number of the wave bands; acquiring external influence parameters of the oxygen signal components according to the time sequence value average value of all wave bands of the adjacent oxygen signal components; adding the internal influence parameter and the external influence parameter of the oxygen signal component to obtain the resolution of the oxygen signal component;
acquiring the resolution of each oxygen signal component according to the resolution of each oxygen signal component and the overall resolution of all oxygen signal components; reconstructing the oxygen signal components into a standard flow curve according to the resolution of each oxygen signal component;
and obtaining the oxygen concentration according to the standard flow curve, and completing flow monitoring according to the oxygen concentration and the preset oxygen concentration.
Preferably, the method for obtaining the oxygen flow in the preset time and drawing the oxygen flow in the preset time as the flow data curve comprises the following steps:
and acquiring oxygen flow every time when the oxygen flowmeter passes through a preset time, and forming a flow data curve by all the oxygen flows acquired in the preset time period, wherein the abscissa of the flow data curve is time, and the ordinate is oxygen flow.
Preferably, the method for decomposing the flow data curve into a plurality of oxygen signal components and sequencing the oxygen signal components comprises the following steps:
the flow data curve is decomposed into a plurality of IMF components using EMD decomposition, each IMF component being noted as an oxygen signal component, the oxygen signal components being ordered by frequency.
Preferably, the method for dividing the oxygen signal component into a plurality of bands according to the extremum comprises the following steps:
for each oxygen signal component, acquiring all maximum values and minimum values of the oxygen signal component, taking a sampling point corresponding to the average value of the adjacent maximum values and the average value of the minimum values as a boundary point of a wave band corresponding to the adjacent maximum values and the minimum values, and calculating two boundary points by each maximum value or the minimum value, wherein all the sampling points in the adjacent boundary points are taken as wave bands of the extreme value;
for each demarcation point, the demarcation point is calculated by a maximum value and a minimum value, the difference between the abscissa of the demarcation point and the abscissa of the corresponding maximum value is marked as a first difference value, the difference between the abscissa of the demarcation point and the abscissa of the corresponding minimum value is marked as a second difference value, if the first difference value is larger than the second difference value, the demarcation point is divided into the wave bands corresponding to the maximum value, and if the second difference value is larger than the first difference value, the demarcation point is divided into the wave bands corresponding to the minimum value.
Preferably, the method for obtaining the time sequence value of the wave band according to the abscissa of the maximum amplitude and the minimum amplitude in each wave band comprises the following steps:
the amplitude value of each sampling point in the wave band is obtained, the maximum amplitude value and the minimum amplitude value are obtained, and the absolute value of the difference value between the abscissa of the sampling point corresponding to the maximum amplitude value and the abscissa of the sampling point corresponding to the minimum amplitude value is used as the time sequence value of the wave band.
Preferably, the method for obtaining the internal influence parameters of the oxygen signal component according to the amplitude and the number of the sampling points of the oxygen signal component and the time sequence value and the number of the wave bands comprises the following steps:
in the method, in the process of the invention,indicating the amplitude of the i-th sampling point of the oxygen signal component,/->Frequency corresponding to the amplitude of the i-th sampling point of the oxygen signal component, +.>Time sequence value representing j-th wave band, +.>Mean value of time sequence values representing all wave bands of oxygen signal component, +.>Number of bands representing oxygen signal components, +.>Representing the number of sampling points in the oxygen signal component, < >>Representing a linear normalization function, ++>Representing the internal influencing parameters of the oxygen signal component.
Preferably, the method for obtaining the external influence parameters of the oxygen signal components according to the time sequence value average value of all the wave bands of the adjacent oxygen signal components comprises the following steps:
calculating the time sequence value average value of all wave bands in each oxygen signal component, recording the time sequence value average value as a first average value, enabling the first average value of the oxygen signal component to be different from the first average value of one adjacent oxygen signal component with low self frequency for any one oxygen signal component to obtain an absolute value, carrying out linear normalization on the absolute value to obtain external influence parameters of the oxygen signal component, and enabling the oxygen signal component with the lowest frequency not to participate in calculation.
Preferably, the method for obtaining the noise contribution rate of each oxygen signal component according to the resolution of each oxygen signal component and the resolutions of all oxygen signal components comprises the following steps:
in the method, in the process of the invention,indicating the resolution of the oxygen signal component of item a, < >>Representing the resolution of the oxygen signal component of item b, T representing the number of oxygen signal components, +.>Representing the noise contribution of the oxygen signal component of the a-th strip.
Preferably, the method for reconstructing the oxygen signal component into the standard flow curve according to the resolution of each oxygen signal component comprises the following steps:
and filtering each oxygen signal component by using a wiener filtering algorithm according to the filtering parameters to obtain a filtered oxygen signal component, wherein the filtering parameters of the oxygen signal component with the lowest frequency are the same as those of the adjacent oxygen signal components, and EMD reconstruction is performed on the filtered oxygen signal component to obtain a new curve which is recorded as a standard flow curve.
Preferably, the method for completing flow monitoring according to the oxygen concentration and the preset oxygen concentration by obtaining the oxygen concentration according to the standard flow curve comprises the following steps:
and calculating the curve integral of the standard flow curve as the oxygen flow of one minute, recording as K, wherein the oxygen concentration is 21+4K, calculating the difference between the oxygen concentration and the preset oxygen concentration, and sending out an alarm prompt if the difference is more than 1%.
The invention has the following beneficial effects: according to the method, the analysis is carried out on the inside and the outside of different signal components through the decomposition of the oxygen flow, the noise contribution rate of each oxygen signal component is obtained through the analysis on the inside and the outside, and different filtering parameters are set for each signal component based on the noise contribution rate, so that compared with the existing method, the probability of transition smoothness of a normal signal is reduced, meanwhile, the adaptive filtering is carried out on the noise influence condition of different oxygen signal components, the probability of filtering distortion caused by aging of each component is reduced in the scene of the current oxygen generator flow signal, the adaptive noise reduction filtering is carried out on the output oxygen generator flow signal, real-time oxygen generation information feedback is provided, compared with the existing method, the actual oxygen generation information is provided more accurately, the oxygen concentration can be obtained more accurately, and the flow monitoring is completed through the comparison of the oxygen concentration and a preset value.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions and advantages of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a method for processing flow monitoring data of an oxygen generator according to an embodiment of the present invention.
Detailed Description
In order to further describe the technical means and effects adopted by the present invention to achieve the preset purposes, the following detailed description refers to specific implementation, structure, characteristics and effects of an oxygen generator flow monitoring data processing method according to the present invention with reference to the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" means that the embodiments are not necessarily the same. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
An embodiment of an oxygen generator flow monitoring data processing method comprises the following steps:
the following specifically describes a specific scheme of the method for processing flow monitoring data of an oxygen generator provided by the invention with reference to the accompanying drawings.
Referring to fig. 1, a flow chart of a method for processing flow monitoring data of an oxygen generator according to an embodiment of the invention is shown, and the method includes the following steps:
step S001, obtaining oxygen flow in preset time, and drawing the oxygen flow in the preset time into a flow data curve.
When the oxygen generator works, the oxygen concentration is required to be set manually, for example, the oxygen concentration is set to be 50%, the oxygen concentration generated by the oxygen generator is required to be 50%, wherein the oxygen concentration is calculated by a flowmeter in the oxygen generator, the flow rate of gas is measured by a thermal diffusion principle, the flow rate of gas is detected by a temperature adjustment current mode when the oxygen flowmeter is used for measuring, the current detection is abnormal due to the fact that the temperature is greatly influenced by the outside in the collecting process, the detected oxygen flow rate is abnormal, the oxygen flow rate within one minute is counted, the oxygen flowmeter collects data every 0.05 second, the oxygen flow rate collected within one minute is drawn into a flow data curve, the abscissa of the flow data curve is time, and the ordinate is the oxygen flow rate.
Thus, the oxygen flow in one minute in real time is obtained.
Step S002, decomposing the flow data curve into a plurality of oxygen signal components and sequencing; dividing the oxygen signal component into a plurality of wave bands according to the extremum; acquiring a time sequence value of each wave band according to the abscissa of the maximum amplitude and the minimum amplitude in each wave band; acquiring internal influence parameters of the oxygen signal component according to the amplitude and the number of sampling points of the oxygen signal component and the time sequence value and the number of the wave bands; acquiring external influence parameters of the oxygen signal components according to the time sequence value average value of all wave bands of the adjacent oxygen signal components; the resolution of the oxygen signal component is obtained by summing the internal influencing parameter and the external influencing parameter of the oxygen signal component.
In the use process of an actual oxygenerator, besides the abnormality of oxygen flow monitoring caused by the abnormality of current detection due to the influence of external temperature, the flow of the oxygenerator is not stable enough due to the reasons of ageing of a compressor and other machines, namely, the acquired oxygen flow can generate noise data, and when the oxygen flow generates the noise data, the digital display module of the oxygenerator is distorted, so that the obtained oxygen concentration is inaccurate.
Under normal conditions, the oxygen flow of the oxygenerator is relatively stable, the collected oxygen flow data is relatively stable, when noise exists in the signal, the oxygen flow data is equivalent to superposition of random high-frequency signals, so that the high-frequency information on the current signal section cannot be directly analyzed and used as a filtering adjustment parameter, the current signal part is required to be decomposed, and then each decomposed signal is analyzed to judge the noise intensity of the current signal.
Therefore, EMD decomposition is used for the acquired flow data curve, which is a well-known technique, and will not be described in detail herein, the flow data curve is marked as an oxygen signal component by using the components of the EMD decomposition, wherein the oxygen signal components are ordered from high to low in frequency.
After the oxygen signal component is obtained, the oxygen signal component is analyzed, and as the whole normal oxygen signal component is relatively low-frequency after data decomposition, the oxygen signal component with noise has random high-frequency band; the influence factors of a curve are too many before decomposition, the noise detection effect is poor, and each oxygen signal component can be accurately detected by independent filtering after decomposition. However, the effect of denoising the different oxygen signal components is poor if the same filtering is used, so that different filtering functions are used for the different oxygen signal components.
Under normal conditions, the oxygen signal component is relatively regular, the oxygen signal component less influenced by noise is relatively regular in internal waveform, and has better resolution, while the oxygen signal component more influenced by noise is received due to the randomness of noise, and the internal waveform is relatively chaotic. For each oxygen signal component, the maximum value and the minimum value of the oxygen signal component correspond to a wave band respectively, the average value of the adjacent maximum value and the minimum value is taken as the boundary line of the wave band corresponding to the maximum value and the minimum value, so that each oxygen signal component is divided into a plurality of wave bands, the data point of the boundary line is different from the abscissa of the maximum value and the minimum value, the data point of the boundary line is divided into the wave band corresponding to the extreme value with smaller difference value, the maximum value and the minimum value of the amplitude of each wave band are obtained, and the difference of the abscissa corresponding to the maximum value of the amplitude in the wave band and the abscissa corresponding to the minimum value of the amplitude is taken as the time sequence value of the wave band; the method comprises the steps of obtaining the amplitude value of each sampling point of each oxygen signal component, wherein the sampling points are data points on the oxygen signal components, obtaining the frequency of each amplitude value, and obtaining the internal influence parameters of the oxygen signal components according to the frequency of the amplitude value corresponding to each sampling point of the oxygen signal components and the time sequence values of all wave bands, wherein the formula is as follows:
in the method, in the process of the invention,indicating the amplitude of the i-th sampling point of the oxygen signal component,/->Frequency corresponding to the amplitude of the i-th sampling point of the oxygen signal component, +.>Time sequence value representing j-th wave band, +.>Mean value of time sequence values representing all wave bands of oxygen signal component, +.>Number of bands representing oxygen signal components, +.>Representing the number of sampling points in the oxygen signal component, < >>Representing a linear normalization function, ++>Representing the internal influencing parameters of the oxygen signal component.
Wherein by means ofCalculating information entropy of the oxygen signal component, namely a first polynomial, wherein the information entropy represents the chaotic degree of each wave band of the current oxygen signal component, and the greater the value, the higher the chaotic degree of the wave band; the second expression calculates the variance of the time sequence value of each band, the larger the variance of the time sequence value is, the greater the value is, the higher the degree of confusion is, the greater the resolution of the oxygen signal component is, and therefore the internal influence parameters of the oxygen signal component are obtained.
After the internal influence parameters of the oxygen signal components are obtained, if only the internal influence parameters are considered, the influence of signal noise on the resolution of the oxygen signal components can not be evaluated, and in the EMD decomposition process, each obtained oxygen signal component respectively represents signal components in different frequency ranges when no noise is interfered, and when noise occurs, the frequencies of the different oxygen signal components can be similar, namely two oxygen signal components can possibly appear in the original frequency range, so that the external influence parameters of the current oxygen signal components are obtained according to the difference of the average values of the time sequence values of all wave bands in the adjacent oxygen signal components, wherein the formula is as follows:
in the method, in the process of the invention,mean value of time sequence values of all wave bands of a-th oxygen signal component, +.>Mean value of time sequence values of all wave bands of the (a+1) th oxygen signal component is represented by +.>Representing a linear normalization function, ++>An external influencing parameter representing the oxygen signal component of clause a.
The average difference of time sequence values of the two oxygen signal components is the frequency difference of the two oxygen signal components, when the frequency difference of the two oxygen signal components in the current EMD decomposition process is larger, the lower the resolution of the oxygen signal components is reduced due to the influence of noise on the current oxygen signal components, the frequency difference is normalized, the same dimension as the internal influence parameter is obtained when the difference is amplified, the larger the difference is, the smaller the external influence parameter is, and the lower the resolution is.
The resolution of the oxygen signal components is obtained according to the internal influence parameters and the external influence parameters corresponding to each oxygen signal component, and the formula is as follows:
in the method, in the process of the invention,internal influencing parameters representing the a-th oxygen signal componentCount (n)/(l)>External influencing parameter representing the oxygen signal component of item a,/->Representing the resolution of the a-th oxygen signal component.
Wherein the larger the internal and external influencing parameters, the smaller the resolution of the oxygen signal component. Since the distribution sequence of the oxygen signal components is from high frequency to low frequency, the last oxygen signal component is the lowest frequency, and the possibility of noise inclusion is very low, so that the last oxygen signal component is not calculated, and the last oxygen signal component only participates in the resolution calculation of the rest oxygen signal components and is not calculated independently.
Thus, the resolution of each oxygen signal component is obtained.
Step S003, the resolution of each oxygen signal component is obtained according to the resolution of each oxygen signal component and the overall resolution of all oxygen signal components; the oxygen signal components are reconstructed into a standard flow curve according to the resolution of each oxygen signal component.
After the resolution of the oxygen signal components is obtained, if the flow of the oxygenerator is relatively stable, the resolution of the flowmeter is higher, the resolution reduction is closely related to noise data, different oxygen signal components have different contribution rates to the noise signals, and the noise contribution rate of each oxygen signal component is calculated according to the following formula:
in the method, in the process of the invention,indicating the resolution of the oxygen signal component of item a, < >>Representing the resolution of the b-th oxygen signal component,t represents the number of oxygen signal components, +.>Representing the noise contribution of the oxygen signal component of the a-th strip.
Wherein, the ratio of the resolution of each oxygen signal component to the overall resolution corresponding to all the oxygen signal components is used as the parameter of the oxygen signal component to the overall resolution, and the higher the resolution is, the lower the possibility of being influenced by noise is, so the noise contribution rate of each oxygen signal component is obtained by subtracting the parameter of the oxygen signal component to the overall resolution from 1, and the higher the noise contribution rate is, the higher the contribution of the current oxygen signal component to the overall signal noise is.
After the noise contribution rate is obtained, the filtering parameters of each oxygen signal component can be set. Since the EMD-decomposed oxygen signal components have different frequency characteristics, wiener filtering based on minimum mean square error and frequency domain operation can be selected as a filtering noise reduction method for each oxygen signal component in order to ensure noise reduction effect. And taking the noise contribution rate corresponding to each oxygen signal component as a wiener filtering parameter, filtering each oxygen signal component by using wiener filtering, setting the filtering strength of the last oxygen signal component as the filtering strength of the adjacent oxygen signal component, and recording the flow curve obtained after EMD reconstruction and denoising after each oxygen signal component is filtered as a standard flow curve.
Thus, a standard flow curve is obtained.
And S004, completing flow monitoring according to the oxygen concentration obtained according to the standard flow curve and the preset oxygen concentration.
After the standard flow curve is obtained, the oxygen flow of the flowmeter for one minute is obtained after the standard flow curve is integrated, and according to an oxygen concentration formula: and (3) acquiring the oxygen concentration by using the oxygen flow, outputting the acquired oxygen concentration to a digital display module of the oxygen generator, and sending out an alarm prompt to finish flow monitoring if the difference between the output oxygen concentration and the set oxygen concentration is more than 1%.
It should be noted that: the sequence of the embodiments of the present invention is only for description, and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments.
Claims (10)
1. The method for processing the flow monitoring data of the oxygenerator is characterized by comprising the following steps of:
acquiring oxygen flow in preset time, and drawing the oxygen flow in the preset time into a flow data curve;
decomposing the flow data curve into a plurality of oxygen signal components and sequencing; the data points in the oxygen signal components are marked as sampling points, and the oxygen signal components are divided into a plurality of wave bands according to extreme values; acquiring a time sequence value of each wave band according to the abscissa of the maximum amplitude and the minimum amplitude in each wave band; acquiring internal influence parameters of the oxygen signal component according to the amplitude and the number of sampling points of the oxygen signal component and the time sequence value and the number of the wave bands; acquiring external influence parameters of the oxygen signal components according to the time sequence value average value of all wave bands of the adjacent oxygen signal components; adding the internal influence parameter and the external influence parameter of the oxygen signal component to obtain the resolution of the oxygen signal component;
acquiring the noise contribution rate of each oxygen signal component according to the resolution of each oxygen signal component and the resolutions of all oxygen signal components; reconstructing the oxygen signal components into a standard flow curve according to the resolution of each oxygen signal component;
and obtaining the oxygen concentration according to the standard flow curve, and completing flow monitoring according to the oxygen concentration and the preset oxygen concentration.
2. The method for processing flow monitoring data of an oxygen generator according to claim 1, wherein the method for acquiring the oxygen flow in a preset time and drawing the oxygen flow in the preset time into a flow data curve comprises the following steps:
and acquiring oxygen flow every time when the oxygen flowmeter passes through a preset time, and forming a flow data curve by all the oxygen flows acquired in the preset time period, wherein the abscissa of the flow data curve is time, and the ordinate is oxygen flow.
3. The method for processing flow monitoring data of an oxygen generator according to claim 1, wherein the method for decomposing the flow data curve into a plurality of oxygen signal components and sequencing the oxygen signal components is as follows:
the flow data curve is decomposed into a plurality of IMF components using EMD decomposition, each IMF component being noted as an oxygen signal component, the oxygen signal components being ordered by frequency.
4. The method for processing flow monitoring data of an oxygen generator according to claim 1, wherein the method for dividing the oxygen signal component into a plurality of bands according to extremum is as follows:
for each oxygen signal component, acquiring all maximum values and minimum values of the oxygen signal component, taking a sampling point corresponding to the average value of the adjacent maximum values and the average value of the minimum values as a boundary point of a wave band corresponding to the adjacent maximum values and the minimum values, and calculating two boundary points by each maximum value or the minimum value, wherein all the sampling points in the adjacent boundary points are taken as wave bands of the extreme value;
for each demarcation point, the demarcation point is calculated by a maximum value and a minimum value, the difference between the abscissa of the demarcation point and the abscissa of the corresponding maximum value is marked as a first difference value, the difference between the abscissa of the demarcation point and the abscissa of the corresponding minimum value is marked as a second difference value, if the first difference value is larger than the second difference value, the demarcation point is divided into the wave bands corresponding to the maximum value, and if the second difference value is larger than the first difference value, the demarcation point is divided into the wave bands corresponding to the minimum value.
5. The method for processing flow monitoring data of an oxygen generator according to claim 1, wherein the method for acquiring the time sequence value of the wave band according to the abscissa of the maximum amplitude and the minimum amplitude in each wave band is as follows:
the amplitude value of each sampling point in the wave band is obtained, the maximum amplitude value and the minimum amplitude value are obtained, and the absolute value of the difference value between the abscissa of the sampling point corresponding to the maximum amplitude value and the abscissa of the sampling point corresponding to the minimum amplitude value is used as the time sequence value of the wave band.
6. The method for processing flow monitoring data of an oxygen generator according to claim 1, wherein the method for obtaining internal influence parameters of the oxygen signal component according to the amplitude and the number of sampling points of the oxygen signal component and the time sequence value and the number of wave bands is as follows:
in the method, in the process of the invention,indicating the amplitude of the i-th sampling point of the oxygen signal component,/->Frequency corresponding to the amplitude of the i-th sampling point of the oxygen signal component, +.>Time sequence value representing j-th wave band, +.>Mean value of time sequence values representing all wave bands of oxygen signal component, +.>Number of bands representing oxygen signal components, +.>Indicating oxygen signalThe number of sampling points in the component, +.>Representing a linear normalization function, ++>Representing the internal influencing parameters of the oxygen signal component.
7. A method for processing flow monitoring data of an oxygen generator according to claim 3, wherein the method for obtaining external influence parameters of oxygen signal components according to the time sequence value average value of all wave bands of adjacent oxygen signal components comprises the following steps:
calculating the time sequence value average value of all wave bands in each oxygen signal component, recording the time sequence value average value as a first average value, enabling the first average value of the oxygen signal component to be different from the first average value of one adjacent oxygen signal component with low self frequency for any one oxygen signal component to obtain an absolute value, carrying out linear normalization on the absolute value to obtain external influence parameters of the oxygen signal component, and enabling the oxygen signal component with the lowest frequency not to participate in calculation.
8. The method for processing flow monitoring data of an oxygen generator according to claim 1, wherein the method for obtaining the noise contribution rate of each oxygen signal component according to the resolution of each oxygen signal component and the resolutions of all oxygen signal components comprises the following steps:
in the method, in the process of the invention,indicating the resolution of the oxygen signal component of item a, < >>Representing the resolution of the b-th oxygen signal component, T representing the oxygen signalQuantity of component->Representing the noise contribution of the oxygen signal component of the a-th strip.
9. The method for processing flow monitoring data of an oxygen generator according to claim 1, wherein the method for reconstructing the oxygen signal components into a standard flow curve according to the resolution of each oxygen signal component comprises the following steps:
and filtering each oxygen signal component by using a wiener filtering algorithm according to the filtering parameters to obtain a filtered oxygen signal component, wherein the filtering parameters of the oxygen signal component with the lowest frequency are the same as those of the adjacent oxygen signal components, and performing EMD reconstruction on the filtered oxygen signal component to obtain a new curve which is recorded as a standard flow curve.
10. The method for processing flow monitoring data of an oxygen generator according to claim 1, wherein the method for completing flow monitoring according to the oxygen concentration and the preset oxygen concentration by obtaining the oxygen concentration according to the standard flow curve is as follows:
and calculating the curve integral of the standard flow curve as the oxygen flow of one minute, recording as K, wherein the oxygen concentration is 21+4K, calculating the difference between the oxygen concentration and the preset oxygen concentration, and sending out an alarm prompt if the difference is more than 1%.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| JP2008139254A (en) * | 2006-12-05 | 2008-06-19 | Yamatake Corp | Flow measuring device and flow controlling device |
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