CN114115083B - Automatic control method and system for improving helium gas recovery quality - Google Patents
Automatic control method and system for improving helium gas recovery quality Download PDFInfo
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Abstract
The invention provides a self-control method and a system for improving helium recovery quality, wherein the method comprises the following steps: obtaining usage category information of the first recovered helium gas; obtaining category characteristic information according to the use category information; determining a recovery quality standard corresponding to the use category information according to the category characteristic information, wherein the recovery quality standard comprises a first dimension standard and a second dimension standard; constructing a helium recovery quality prediction model; inputting the first dimension standard and the second dimension standard into a helium recovery quality prediction model to obtain a first output result and a second output result; obtaining a first dimensional mass and a second dimensional mass of the first recovered helium gas; judging whether the first dimension quality meets a first output result; judging whether the second dimension quality meets a second output result; if the first regulation instruction is not satisfied, a first regulation instruction is obtained, and the first regulation instruction is used for adjusting the helium recovery device to adjust the parameters.
Description
Technical Field
The invention relates to the technical field related to intelligent manufacturing equipment, in particular to an automatic control method and system for improving helium recovery quality.
Background
The low-temperature superconducting technology in the prior art is widely applied to a plurality of fields of basic science such as modern military affairs, medicine, physics, chemistry and the like. In order to provide an ultra-low temperature environment for experiments and application of a low-temperature superconducting technology, liquid helium is adopted as a refrigerant in the prior art to obtain a low-temperature superconducting condition. In addition to being a refrigerant, helium can also be used as a shielding gas due to its inertness.
In order to fully protect helium resources, in the process of using liquid helium, used gas helium cannot be emptied, a helium recovery system is adopted for recovering, and the gas helium is purified and then produced again for use, and the currently commonly used helium recovery system can recover helium and carry out basic oil removal and purification treatment.
However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the inventors of the present application find that the above-mentioned technology has at least the following technical problems:
when the helium is recovered by a helium recovery system in the prior art, only simple purification, oil removal and compression treatment are carried out on the recovered helium, and the quality of the recovered helium is not detected, so that the technical problems that the quality of the recovered helium cannot meet the quality standard requirement and the helium recovery work meeting the quality standard cannot be carried out according to the application of the recovered helium exist.
Disclosure of Invention
The embodiment of the application provides an automatic control method and system for improving helium gas recovery quality, and the automatic control method and system are used for solving the technical problems that when a helium gas recovery system in the prior art recovers helium gas, only the recovered helium gas is subjected to simple purification, oil removal and compression treatment, the quality of the recovered helium gas is not detected, the quality of the recovered helium gas cannot meet the quality standard requirement, and the helium gas recovery work meeting the quality standard cannot be performed according to the application of the recovered helium gas.
In view of the above problems, the present application provides an automatic control method and system for improving helium gas recovery quality.
In a first aspect of the embodiments of the present application, there is provided an automatic control method for improving helium gas recovery quality, the method is applied to a helium gas recovery apparatus, and the method includes: obtaining usage category information of the first recovered helium gas; obtaining category characteristic information according to the purpose category information; determining a recovery quality standard corresponding to the use category information according to the category characteristic information, wherein the recovery quality standard comprises a first dimension standard and a second dimension standard; constructing a helium recovery quality prediction model; inputting the first dimension standard and the second dimension standard into the helium gas recovery quality prediction model to obtain a first output result and a second output result, wherein the first output result corresponds to the first dimension standard, and the second output result corresponds to the second dimension standard; obtaining a first dimensional mass and a second dimensional mass of the first recovered helium gas; judging whether the first dimension quality meets the first output result; judging whether the second dimension quality meets the second output result; and if the first dimension quality does not meet the first output result and/or the second dimension quality does not meet the second output result, obtaining a first regulation and control instruction, wherein the first regulation and control instruction is used for carrying out parameter adjustment on the helium gas recovery device.
In a second aspect of the embodiments of the present application, there is provided an autonomous system for improving helium gas recovery quality, wherein the system includes: a first obtaining unit for obtaining usage category information of the first recovered helium gas; a second obtaining unit configured to obtain category feature information according to the usage category information; a first processing unit, configured to determine, according to the category feature information, a recovery quality criterion corresponding to the usage category information, where the recovery quality criterion includes a first dimension criterion and a second dimension criterion; the first construction unit is used for constructing a helium recovery quality prediction model; a second processing unit, configured to input the first dimension standard and the second dimension standard into the helium gas recovery quality prediction model to obtain a first output result and a second output result, where the first output result corresponds to the first dimension standard and the second output result corresponds to the second dimension standard; a first obtaining unit for obtaining a first dimensional mass and a second dimensional mass of the first recovered helium gas; a first judging unit, configured to judge whether the first dimension quality satisfies the first output result; a second judging unit, configured to judge whether the second dimension quality satisfies the second output result; the first management unit is used for obtaining a first regulation and control instruction if the first dimension quality does not meet the first output result and/or the second dimension quality does not meet the second output result, and the first regulation and control instruction is used for carrying out parameter adjustment on the helium recovery device.
In a third aspect of the embodiments of the present application, an automatic control system for improving helium gas recovery quality is provided, including: a processor coupled to a memory for storing a program that, when executed by the processor, causes a system to perform the steps of the method according to the first aspect.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
according to the helium recovery device and the helium recovery method, the class characteristic information is obtained according to the usage class information of the recovered helium, and then the corresponding recovery quality standard with multiple dimension standards is obtained, the first dimension standard and the second dimension standard are specifically included, then the first dimension standard and the second dimension standard are input into a helium recovery quality prediction model, a first output result and a second output result of the first dimension standard and the second dimension standard are obtained, the first dimension quality and the second dimension quality of the actually recovered helium are obtained, whether the first dimension quality meets the first output result or not and whether the second dimension quality meets the second output result or not are respectively judged, if not, a first regulation and control instruction is obtained, and parameter adjustment is carried out on the helium recovery device. The embodiment of the application establishes the quality standard according to the application of the recovered helium, constructs the helium recovery quality prediction model based on the quality standard, and obtaining an output result, judging whether the quality of the actually recovered helium gas meets the standard of the output result, if so, the helium can be continuously recovered, if the helium does not meet the requirement, the parameter adjustment of the helium recovery device is required, so that the recovered helium can reach the quality standard, the embodiment of the application establishes a method for quantitatively detecting and providing the helium recovery quality, when the helium is recovered, the quality of the recovered helium can be detected according to the quality standard of the recovery purpose, the quality of the recovered helium can be accurately and comprehensively judged, and then assist technical staff to obtain the recovered helium meeting the quality requirements according to the use of the recovered helium, thereby achieving the technical effects of improving the helium recovery quality and reducing the economic cost of helium recovery.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
FIG. 1 is a schematic flow chart of a self-control method for improving helium recovery quality according to an embodiment of the present disclosure;
FIG. 2 is a schematic flow chart illustrating a helium recovery quality prediction model constructed in an automatic control method for improving helium recovery quality according to an embodiment of the present disclosure;
FIG. 3 is a schematic view of a process for fitting a recovery quality criterion in an autonomous method for improving helium recovery quality according to an embodiment of the present disclosure;
FIG. 4 is a schematic diagram of an embodiment of the present application illustrating a robotic system for improving helium recovery quality;
fig. 5 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Description of reference numerals: the system comprises a first obtaining unit 11, a second obtaining unit 12, a first processing unit 13, a first constructing unit 14, a second processing unit 15, a third obtaining unit 16, a first judging unit 17, a second judging unit 18, a first managing unit 19, an electronic device 300, a memory 301, a processor 302, a communication interface 303 and a bus architecture 304.
Detailed Description
The embodiment of the application provides an automatic control method and system for improving helium gas recovery quality, and the automatic control method and system are used for solving the technical problems that when a helium gas recovery system in the prior art recovers helium gas, only the recovered helium gas is subjected to simple purification, oil removal and compression treatment, the quality of the recovered helium gas is not detected, the quality of the recovered helium gas cannot meet the quality standard requirement, and the helium gas recovery work meeting the quality standard cannot be performed according to the application of the recovered helium gas.
According to the helium recovery device and the helium recovery method, the class characteristic information is obtained according to the usage class information of the recovered helium, and then the corresponding recovery quality standard with multiple dimension standards is obtained, the first dimension standard and the second dimension standard are specifically included, then the first dimension standard and the second dimension standard are input into a helium recovery quality prediction model, a first output result and a second output result of the first dimension standard and the second dimension standard are obtained, the first dimension quality and the second dimension quality of the actually recovered helium are obtained, whether the first dimension quality meets the first output result or not and whether the second dimension quality meets the second output result or not are respectively judged, if not, a first regulation and control instruction is obtained, and parameter adjustment is carried out on the helium recovery device. The embodiment of the application establishes a method capable of quantitatively detecting and providing the helium recovery quality, can detect the quality of the recovered helium according to the quality standard of the recovery application when the helium is recovered, can accurately and comprehensively judge the quality of the recovered helium, further assists technicians to obtain the recovered helium meeting the quality requirement according to the application of the recovered helium, locks the problem that the quality of the recovered helium does not meet the standard in an experimental room, and does not transfer to the position for using the helium to recover, the technical effects of improving the helium recovery quality and reducing the economic cost of helium recovery are achieved.
In the following, the technical solutions in the embodiments of the present application will be clearly and completely described with reference to the accompanying drawings, and it is to be understood that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments of the present application, and it should be understood that the present application is not limited by the example embodiments described herein. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application. It should be further noted that, for the convenience of description, only some but not all of the elements relevant to the present application are shown in the drawings.
Example one
As shown in fig. 1, the present application provides an automatic control method for improving helium gas recovery quality, which is applied to a helium gas recovery apparatus, and the method includes:
s100: obtaining usage category information of the first recovered helium gas;
s200: obtaining category characteristic information according to the purpose category information;
the first recovered helium is helium recovered by the helium recovery device during helium recovery, and the first recovered helium can be helium obtained by helium recovery in any field. Illustratively, it may be helium gas produced during use by liquid helium cryogen.
Specifically, helium (GHe) is used as refrigerant for preparing liquid helium (LHe), GHe can be used as cleaning agent of rocket launcher and pressure feed agent of fuel, GHe has chemical inertness and good thermal conductivity, and GHe can be used as special shielding gas for welding when welding. In addition to the above, helium has many other uses and will not be described in detail herein.
Since helium has many of the above-mentioned applications, different quality standards are also required for the recovery of helium. Illustratively, if helium gas is recovered as a raw material for industrial production of liquid helium, the purity of the recovered helium gas needs to reach 99.995%, which is common helium, and the recovered helium gas can be used as a raw material for helium gas for production of liquid helium. Table 1 shows the helium quality standards in China.
TABLE 1 helium quality Standard
As shown in table 1, according to different usage types of the first recovered helium gas, the helium gas product name corresponding to the usage type information can be obtained. Illustratively, if the first recovered helium gas is used as a liquid helium refrigerant, then the system can identify the usage category information of the first recovered helium gas as a refrigerant, and further can obtain whether the first recovered helium gas is used as a medical refrigerant or a physical refrigerant.
The category feature information is obtained according to the use category information, and is information which can be identified by a computer and can be used for enabling the computer to respectively use the category information according to the category feature information. Illustratively, if the first recovered helium gas is used as a helium cryogen for participating in the preparation of medical fluids, the class characterization information includes: the first recovered helium gas also has other type feature information in the same manner, and is associated with the use type information.
S300: determining a recovery quality standard corresponding to the use category information according to the category characteristic information, wherein the recovery quality standard comprises a first dimension standard and a second dimension standard;
specifically, the quality standard corresponding to the usage type information is further determined according to the type feature information, and in the process, the helium product name corresponding to the usage type information is determined according to the type feature information synchronously, so that the corresponding recovery quality standard is determined.
The recovery quality criteria include a plurality of dimensions including purity, oil content, impurity content, and water content, among others, and in the embodiments of the present application, the recovery quality criteria include first dimension criteria and second dimension criteria, which may each include one or more of the above criteria. Illustratively, if the first recovered helium gas is used for preparing medical liquid helium refrigerant, the product name of the corresponding helium gas is high-purity helium, the first dimension standard is the purity of the first recovered helium gas and needs to be more than 99.999%, and the second dimension standard is the water content and impurity rate of the first helium gas, which need to be less than 0.0003%.
S400: constructing a helium recovery quality prediction model;
s500: inputting the first dimension standard and the second dimension standard into the helium gas recovery quality prediction model to obtain a first output result and a second output result, wherein the first output result corresponds to the first dimension standard, and the second output result corresponds to the second dimension standard;
specifically, the helium recovery quality prediction model is constructed based on a first dimension standard and a second dimension standard, the first output result and the second output result are output results obtained based on the first dimension standard and the second dimension standard, and the first output result and the second output result comprise the first recovered helium quality standard, namely the first recovered helium quality standard also comprises the dimension quality standard requirements of water content, impurity rate, purity and the like. Exemplarily, the quality standards in the first output result and the second output result are higher than the quality standards in the first dimension standard and the second dimension standard, and when the first output result and the second output result are adopted to recover and purify the helium, the cost and time of purification treatment can be maximally reduced on the premise of meeting the requirement of the quality standards, and the purification efficiency is improved.
The helium recovery quality prediction model is a neural network model in machine learning, reflects many basic characteristics of human brain functions, and is a highly complex nonlinear dynamics learning system. Wherein, the helium gas recovery quality prediction model can carry out continuous self-training study according to the training data, and every group in the multiunit training data all includes: the first dimension standard, the second dimension standard and the identification information used for identifying the first output result and the second output result, the helium recovery quality prediction model is continuously corrected by self, and when the output information of the helium recovery quality prediction model reaches a preset accuracy rate/convergence state, the supervised learning process is ended.
S600: obtaining a first dimensional mass and a second dimensional mass of the first recovered helium gas;
specifically, the first dimension mass and the second dimension mass of the first recovered helium are the mass of the first recovered helium actually recovered by the helium recovery device, and the first dimension mass and the second dimension mass correspond to the first dimension standard and the second dimension standard, and the first output result and the second output result, respectively.
The first dimension quality and the second dimension quality can be obtained by detecting the first recovered helium gas by methods such as a spectroscopic method, a condensation method, an oil content indicator method and the like.
S700: judging whether the first dimension quality meets the first output result;
s800: judging whether the second dimension quality meets the second output result;
s900: and if the first dimension quality does not meet the first output result and/or the second dimension quality does not meet the second output result, obtaining a first regulation and control instruction, wherein the first regulation and control instruction is used for carrying out parameter adjustment on the helium gas recovery device.
Specifically, whether the first dimensional quality and the second dimensional quality of the first recovered helium actually meet the quality standard requirements in the first output result and the second output result is judged, if not, it is proved that the helium recovered by the recovery parameters of the current helium recovery device cannot meet the quality requirements of the first recovered helium use category information, the helium recovery should be stopped, and the recovery parameters of the helium recovery device are adjusted to recover the helium according to the readjusted parameters until the first dimensional quality and the second dimensional quality meet the first output result and the second output result.
The embodiment of the application establishes a method capable of quantitatively detecting and providing the helium recovery quality, can detect the quality of the recovered helium according to the quality standard of the recovery application when the helium is recovered, can accurately and comprehensively judge the quality of the recovered helium, further assists technicians to obtain the recovered helium meeting the quality requirement according to the application of the recovered helium, locks the problem that the quality of the recovered helium does not meet the standard in an experimental room, and does not transfer to the position for using the helium to recover, the technical effects of improving the helium recovery quality and reducing the economic cost of helium recovery are achieved.
As shown in fig. 2, step S500 in the method provided in the embodiment of the present application includes:
s510: constructing an input layer of the helium recovery quality prediction model, and inputting the first dimension standard and the second dimension standard into the input layer to obtain first output information and second output information of the input layer;
s520: constructing a first hidden layer, and taking the first output information as input information of the first hidden layer;
s530: constructing a second hidden layer, and taking the second output information as the input information of the second hidden layer;
s540: and constructing an output layer, and obtaining the first output result and the second output result through the output layer.
Specifically, in the process of training and using the helium recovery quality prediction model, a first output result and a second output result are respectively output according to different first dimension standards and second dimension standards, the helium recovery quality prediction model comprises an input layer, two different hidden layers and an output layer, and the two different hidden layers are the first hidden layer and the second hidden layer.
And after the first dimension standard and the second dimension standard are input from the input layer, obtaining first output information and second output information, respectively inputting the first output information and the second output information as input information into the first hidden layer and the second hidden layer, respectively calculating through the two hidden layers, and then outputting two results from the output layer, wherein the two results are respectively a first output result and a second output result. In the process of constructing and training a helium recovery quality prediction model, a first hidden layer and a second hidden layer are trained by respectively adopting a first dimension standard, identification information of a first output result, a second dimension standard and identification information of a second output result, and when the output results of the two hidden layers reach a preset accuracy rate/convergence state, the model training is finished to obtain the helium recovery quality prediction model.
In the process of constructing the helium recovery quality prediction model, two hidden layers which are used for calculation and output are constructed in the model, multidimensional calculation can be performed according to the multidimensional quality standard of the first recovered helium, and then the first output result and the second output result are output, so that the first dimensional standard and the second dimensional standard data input by the helium recovery quality prediction model are more accurate, the first output result and the second output result are more accurate, accurate data information acquisition is achieved, and the technical effect of calculating accuracy of the helium recovery quality standard is improved.
As shown in fig. 3, after "determining the recovery quality standard corresponding to the usage category information according to the category feature information" in step S300 of the method provided in the embodiment of the present application, the method includes:
s310: obtaining a first fitting mode;
s320: fitting the recovery quality standard in the first fitting mode to obtain a first fitting curve;
s330: obtaining a first fitting degree of the recovery quality standard according to the first fitting curve and the recovery quality standard;
s340: obtaining a predetermined fitting standard;
s350: determining a relationship between the first degree of fit and the predetermined fitting criterion;
s360: and if the first fitting degree is larger than the preset fitting standard, performing regularization processing on the recovery quality standard.
Specifically, the first fitting manner is a manner of fitting the recovery quality standard, and by fitting the recovery quality standard, a functional relationship meeting the quality requirement of the recovered helium gas can be obtained, and in the functional relationship, the quality standard of each dimension in the recovery quality standard is related to the class characteristics in the class characteristic information. Illustratively, the first fitting manner may be a polynomial fitting.
And obtaining a first fitting degree of the recovery quality standard according to the fitted first fitting curve and the recovery quality standard, wherein the fitting degree of the first fitting curve and the data in the recovery quality standard is possibly low due to the small data amount in the recovery quality standard. Obtaining a predetermined fitting standard, where the predetermined fitting standard is a predetermined first fitting curve and a standard of a fitting degree of data in the recovery quality standard, and exemplarily, the predetermined fitting standard is: each datum within the recovered quality standard may be expressed using a first fitted curve.
The method provided in the embodiment of the present application further includes, after step S350:
s351: if the first fitting degree is smaller than the preset fitting standard, a second fitting mode is obtained;
s352: and fitting the recovery quality standard in the second fitting mode to obtain a second fitting curve, wherein the second fitting curve is different from the first fitting curve.
And judging the relation between the first fitting degree and a preset fitting standard, if the first fitting degree is smaller than the preset fitting standard, considering that under-fitting occurs, processing the first fitting mode to obtain a second fitting mode, and fitting the recovery quality standard by adopting the second fitting mode.
Illustratively, if polynomial fitting is employed, then higher order polynomials are employed for the fitting. For example, the first fitting manner adopts
When the fitting is carried out, wherein,
and
as a parameter, the first fit is less than the predetermined fit standard, and the first fit curve cannot express data within all of the recovery quality standards. Fitting the recovered quality standard by adopting a second fitting mode
Wherein,
and fitting is carried out for the parameters, a second fitting degree is obtained by a second fitting mode, whether the second fitting degree meets the preset fitting standard or not is judged, and if the second fitting degree meets the preset fitting standard, the fitting effect is good.
Step S360 in the method provided in the embodiment of the present application includes:
s361: obtaining a first cost function of the first fitting mode;
s362: obtaining a first regularization parameter;
s363: and adding the first regularization parameter to the first cost function, and regularizing the first cost function.
Specifically, if the first fitting degree is greater than the predetermined fitting standard and overfitting occurs, the first fitting method is regularized.
By way of example and not limitation, if the first fitting manner employs polynomial fitting, the polynomial is
And if the secondary level of the polynomial is too high, performing regularization processing by adopting a first cost function, wherein the first cost function is as follows:
namely:
wherein,
as a parameter, m is the total amount of data in the recovery quality standard,
is the first fitted curve.
To process the first fitting approach such that the first degree of fit of the first fitted curve satisfies the first predetermined fitting criterion, the first cost function needs to be minimized, while in order to preserve all features within the recovery quality criterion, a penalty may be added to the parameter θ in the first fitting approach, illustratively to obtain a first regularization parameter, illustratively to:
wherein,
is a parameter, approximately equal to 0,
approximately equal to 0.
Thus, a first regularization parameter is employed to minimize the cost function, the parameter
And
and the penalty for the two parameters is large, and when the two parameters are small, the overall fitting in the polynomial fitting process is small, so that the regularization processing is completed, and the overfitting problem that the first fitting degree is larger than the preset fitting standard is solved.
In the above example, a first cost function pair of parameters is used
And
after the regularization processing is performed, for example, if there is still an over-fitting problem after the processing and all parameters need to be regularized, there are:
where λ is the first regularization parameter (regularization parameter), which balances the relationship between better recovery of the quality standard fit data and keeping the parameter as minimal as possible.
After step S363 in the method provided in the embodiment of the present application, the method further includes:
s364: obtaining a second cost function, wherein the second cost function is the first cost function after regularization processing;
s365: obtaining a third fitting mode according to the second cost function;
s366: fitting the recovery quality standard according to the third fitting mode to obtain a first fitting result;
s367: and adjusting the first output result and the second output result according to the first fitting result to obtain a second regulation and control instruction, wherein the second regulation and control instruction is used for adjusting parameters of the helium recovery device.
Specifically, after the first cost function is regularized by the first regularization parameter, a second cost function can be obtained, a corresponding third fitting mode can be obtained according to the second cost function, the third fitting mode is adopted to fit the recovery quality standard, and the problems of over-fitting and under-fitting cannot occur. And fitting the recovery quality standard according to the third fitting mode to obtain a fitting curve corresponding to the first fitting result, wherein the fitting curve can better express each data in the recovery quality standard.
The first output result and the second output result are adjusted according to the first fitting result to obtain a second regulation instruction, so that the influence of over-fitting on the first output result and the second output result can be avoided, more accurate first output result and second output result can be obtained, the technical effects of accurately fitting the recovery quality standard and accurately obtaining data are achieved.
According to the embodiment of the application, the first fitting mode is processed under the condition that the first fitting degree does not accord with the default fitting and the over-fitting of the preset fitting standard, so that all data in the quality standard can be expressed and recovered by the fitting curve obtained by fitting the adjusted fitting mode, the curve fitting is more accurate, the finally obtained prediction result, the first output result and the second output result are more accurate, and the technical effect of accurately processing the data is achieved.
Step S200 in the method provided in the embodiment of the present application includes:
s210: obtaining a first class feature set according to the purpose class information;
s220: and performing decentralized processing on the first category feature set to obtain the category feature information.
Specifically, the first category of features is a feature set of a recycling use of the first recycled helium gas, which includes, for example: medical, refrigerant, shielding gas, etc., but each of these features has a different degree of influence on the recovery quality criteria of the usage-specific information, and therefore, the feature data in the first-specific feature set is subjected to the decentralization processing.
Specifically, the mean value of the feature data in the first class feature set is subtracted from each feature in the first class feature set to obtain a plurality of corresponding processed features, decentralized processing is completed, and a feature information set with the same influence degree on the recovery quality standard is obtained, namely the class feature credit.
According to the method and the device, the first class feature set is subjected to decentralized processing, so that the influence degree of the features in the first class feature set on the recovery quality standard is uniform, more accurate class feature information is obtained, accurate output data is achieved, and the technical effect of accurate class feature information is obtained.
In summary, the embodiment of the present application establishes a method for quantitatively detecting and providing helium recovery quality, when helium is recovered, the quality of the recovered helium can be detected according to the quality standard of the recovery purpose, the quality of the recovered helium can be accurately and comprehensively determined, and technicians can be assisted to obtain the recovered helium meeting the quality requirement according to the usage of the recovered helium, wherein the data of the recovery quality standard is fitted and regularized, the most accurate fitting result can be obtained, the most accurate recovery quality standard can be further obtained, and the technical effects of improving the helium recovery quality and reducing the economic cost of helium recovery are finally achieved.
Example two
Based on the same inventive concept as the automatic control method for improving the helium gas recovery quality in the previous embodiment, as shown in fig. 4, the present embodiment provides an automatic control system for improving the helium gas recovery quality, wherein the system includes:
a first obtaining unit 11, wherein the first obtaining unit 11 is used for obtaining the usage class information of the first recovered helium gas;
a second obtaining unit 12, where the second obtaining unit 12 is configured to obtain category feature information according to the usage category information;
a first processing unit 13, configured to determine, according to the category feature information, a recovery quality criterion corresponding to the usage category information, where the recovery quality criterion includes a first dimension criterion and a second dimension criterion;
a first construction unit 14, said first construction unit 14 being adapted to construct a helium recovery quality prediction model;
a second processing unit 15, where the second processing unit 15 is configured to input the first dimension standard and the second dimension standard into the helium gas recovery quality prediction model to obtain a first output result and a second output result, where the first output result corresponds to the first dimension standard, and the second output result corresponds to the second dimension standard;
a third obtaining unit 16, wherein the third obtaining unit 16 is configured to obtain a first dimensional mass and a second dimensional mass of the first recovered helium gas;
a first judging unit 17, where the first judging unit 17 is configured to judge whether the first dimension quality satisfies the first output result;
a second judging unit 18, where the second judging unit 18 is configured to judge whether the second dimension quality satisfies the second output result;
the first management unit 19 is configured to obtain a first regulation and control instruction if the first dimension quality does not satisfy the first output result and/or the second dimension quality does not satisfy the second output result, where the first regulation and control instruction is used to perform parameter adjustment on the helium recovery device.
Further, the system further comprises:
the second construction unit is used for constructing an input layer of the helium recovery quality prediction model, inputting the first dimension standard and the second dimension standard into the input layer and obtaining first output information and second output information of the input layer;
a third constructing unit, configured to construct a first hidden layer, and use the first output information as input information of the first hidden layer;
a fourth constructing unit, configured to construct a second hidden layer, and use the second output information as input information of the second hidden layer;
a fifth construction unit, configured to construct an output layer, and obtain the first output result and the second output result through the output layer.
Further, the system further comprises:
a fourth obtaining unit, configured to obtain a first fitting manner;
the third processing unit is used for fitting the recovery quality standard in the first fitting mode to obtain a first fitting curve;
a fourth processing unit, configured to obtain a first degree of fitting of the recovery quality standard according to the first fitted curve and the recovery quality standard;
a fifth obtaining unit for obtaining a predetermined fitting criterion;
a third judging unit configured to judge a relationship between the first degree of fitting and the predetermined fitting standard;
a fifth processing unit, configured to perform regularization on the recovery quality criterion if the first degree of fit is greater than the predetermined fit criterion.
Further, the system further comprises:
a sixth obtaining unit, configured to obtain a second fitting manner if the first fitting degree is smaller than the predetermined fitting criterion;
a sixth processing unit, configured to fit the recovery quality standard in the second fitting manner to obtain a second fitted curve, where the second fitted curve is different from the first fitted curve.
Further, the system further comprises:
a seventh obtaining unit, configured to obtain a first cost function of the first fitting manner;
an eighth obtaining unit, configured to obtain a first regularization parameter;
a seventh processing unit, configured to add the first regularization parameter to the first cost function, and perform regularization on the first cost function.
Further, the system further comprises:
a ninth obtaining unit, configured to obtain a second cost function, where the second cost function is the first cost function after the regularization processing;
an eighth processing unit, configured to obtain a third fitting manner according to the second cost function;
a ninth processing unit, configured to fit the recovery quality standard according to the third fitting manner, so as to obtain a first fitting result;
and the second management unit is used for adjusting the first output result and the second output result according to the first fitting result to obtain a second regulation and control instruction, and the second regulation and control instruction is used for carrying out parameter adjustment on the helium recovery device.
Further, the system further comprises:
a tenth obtaining unit, configured to obtain a first category feature set according to the usage category information;
a tenth processing unit, configured to perform decentralized processing on the first category feature set to obtain the category feature information.
Exemplary electronic device
The electronic device of the embodiment of the present application is described below with reference to figure 5,
based on the same inventive concept as the automatic control method for improving the helium gas recovery quality in the previous embodiment, the embodiment of the present application further provides an automatic control system for improving the helium gas recovery quality, which includes: a processor coupled to a memory, the memory for storing a program that, when executed by the processor, causes the system to perform the steps of the method of embodiment one.
The electronic device 300 includes: processor 302, communication interface 303, memory 301. Optionally, the electronic device 300 may also include a bus architecture 304. Wherein, the communication interface 303, the processor 302 and the memory 301 may be connected to each other through a bus architecture 304; the bus architecture 304 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus architecture 304 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 5, but this is not intended to represent only one bus or type of bus.
The communication interface 303 is a system using any transceiver or the like, and is used for communicating with other devices or communication networks, such as ethernet, Radio Access Network (RAN), Wireless Local Area Network (WLAN), wired access network, and the like.
The memory 301 may be a ROM or other type of static storage device that can store static information and instructions, a RAM or other type of dynamic storage device that can store information and instructions, an electrically erasable Programmable read-only memory (EEPROM), a compact disc read-only memory (compact disc)
read-only memory, CD-ROM) or other optical disk storage, optical disk storage (including compact disk, laser disk, optical disk, digital versatile disk, blu-ray disk, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to such. The memory may be self-contained and coupled to the processor through a bus architecture 304. The memory may also be integral to the processor.
The memory 301 is used for storing computer-executable instructions for executing the present application, and is controlled by the processor 302 to execute. The processor 302 is configured to execute the computer-executable instructions stored in the memory 301, so as to implement the automatic control method for improving the helium gas recovery quality provided by the above-mentioned embodiment of the present application.
Optionally, the computer-executable instructions in the embodiments of the present application may also be referred to as application program codes, which are not specifically limited in the embodiments of the present application.
According to the helium recovery device and the helium recovery method, the class characteristic information is obtained according to the usage class information of the recovered helium, and then the corresponding recovery quality standard with multiple dimension standards is obtained, the first dimension standard and the second dimension standard are specifically included, then the first dimension standard and the second dimension standard are input into a helium recovery quality prediction model, a first output result and a second output result of the first dimension standard and the second dimension standard are obtained, the first dimension quality and the second dimension quality of the actually recovered helium are obtained, whether the first dimension quality meets the first output result or not and whether the second dimension quality meets the second output result or not are respectively judged, if not, a first regulation and control instruction is obtained, and parameter adjustment is carried out on the helium recovery device. The embodiment of the application establishes a method capable of quantitatively detecting and providing the helium recovery quality, can detect the quality of the recovered helium according to the quality standard of the recovery application when the helium is recovered, can accurately and comprehensively judge the quality of the recovered helium, further assists technicians to obtain the recovered helium meeting the quality requirement according to the application of the recovered helium, wherein the data of the quality standard of the recovered helium is fitted and regularized, and the most accurate fitting result can be obtained, and then the most accurate recovery quality standard is obtained, and the technical effects of improving the helium recovery quality and reducing the economic cost of helium recovery are finally achieved.
Those of ordinary skill in the art will understand that: the various numbers of the first, second, etc. mentioned in this application are only used for the convenience of description and are not used to limit the scope of the embodiments of this application, nor to indicate the order of precedence. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one" means one or more. At least two means two or more. "at least one," "any," or similar expressions refer to any combination of these items, including any combination of singular or plural items. For example, at least one (one ) of a, b, or c, may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or multiple.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer finger
The instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, where the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wirelessly (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device including one or more available media integrated servers, data centers, and the like. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The various illustrative logical units and circuits described in this application may be implemented or operated upon by design of a general purpose processor, a digital signal processor, an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof. A general-purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a digital signal processor and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a digital signal processor core, or any other similar configuration.
The steps of a method or algorithm described in the embodiments herein may be embodied directly in hardware, in a software element executed by a processor, or in a combination of the two. The software cells may be stored in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. For example, a storage medium may be coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC, which may be disposed in a terminal. In the alternative, the processor and the storage medium may reside in different components within the terminal. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Although the present application has been described in conjunction with specific features and embodiments thereof, it will be evident that various modifications and combinations can be made thereto without departing from the spirit and scope of the application. Accordingly, the specification and figures are merely exemplary of the present application as defined in the appended claims and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the present application. It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations.
Claims (8)
1. An autonomous method for improving helium recovery quality, wherein the method is applied to a helium recovery device, and the method comprises the following steps:
obtaining usage category information of the first recovered helium gas;
according to the application category information, acquiring category characteristic information, which comprises the following steps:
obtaining a first class feature set according to the purpose class information;
performing decentralized processing on the first category feature set to obtain the category feature information;
determining a recovery quality standard corresponding to the use category information according to the category characteristic information, wherein the recovery quality standard comprises a first dimension standard and a second dimension standard;
constructing a helium recovery quality prediction model, wherein the helium recovery quality prediction model is constructed based on the first dimension standard and the second dimension standard;
inputting the first dimension standard and the second dimension standard into the helium gas recovery quality prediction model to obtain a first output result and a second output result, wherein the first output result and the second output result comprise a first helium gas recovery quality standard, the first output result corresponds to the first dimension standard, and the second output result corresponds to the second dimension standard;
obtaining a first dimensional mass and a second dimensional mass of the first recovered helium gas;
judging whether the first dimension quality meets the first output result;
judging whether the second dimension quality meets the second output result;
and if the first dimension quality does not meet the first output result and/or the second dimension quality does not meet the second output result, obtaining a first regulation and control instruction, wherein the first regulation and control instruction is used for carrying out parameter adjustment on the helium gas recovery device.
2. The method of claim 1 wherein said constructing a helium recovery quality prediction model comprises:
constructing an input layer of the helium recovery quality prediction model, and inputting the first dimension standard and the second dimension standard into the input layer to obtain first output information and second output information of the input layer;
constructing a first hidden layer, and taking the first output information as input information of the first hidden layer;
constructing a second hidden layer, and taking the second output information as the input information of the second hidden layer;
and constructing an output layer, and obtaining the first output result and the second output result through the output layer.
3. The method of claim 1, wherein the determining the quality of recovery criteria corresponding to the usage category information based on the category characteristic information comprises:
obtaining a first fitting mode;
fitting the recovery quality standard in the first fitting mode to obtain a first fitting curve;
obtaining a first fitting degree of the recovery quality standard according to the first fitting curve and the recovery quality standard;
obtaining a predetermined fitting standard;
determining a relationship between the first degree of fit and the predetermined fitting criterion;
and if the first fitting degree is larger than the preset fitting standard, performing regularization processing on the recovery quality standard.
4. The method of claim 3, wherein the determining the relationship between the first fitness and the predetermined fitting criterion further comprises:
if the first fitting degree is smaller than the preset fitting standard, a second fitting mode is obtained;
and fitting the recovery quality standard in the second fitting mode to obtain a second fitting curve, wherein the second fitting curve is different from the first fitting curve.
5. The method of claim 3, wherein the regularizing the goodness-of-recovery criterion if the first fitness is greater than the predetermined fit criterion comprises:
obtaining a first cost function of the first fitting mode;
obtaining a first regularization parameter;
and adding the first regularization parameter to the first cost function, and regularizing the first cost function.
6. The method of claim 5, wherein the adding the first regularization parameter to the first cost function comprises, after regularizing the first cost function:
obtaining a second cost function, wherein the second cost function is the first cost function after regularization processing;
obtaining a third fitting mode according to the second cost function;
fitting the recovery quality standard according to the third fitting mode to obtain a first fitting result;
and adjusting the first output result and the second output result according to the first fitting result to obtain a second regulation and control instruction, wherein the second regulation and control instruction is used for adjusting parameters of the helium recovery device.
7. An autonomous system for improving helium recovery quality, wherein said system comprises:
a first obtaining unit for obtaining usage category information of the first recovered helium gas;
a second obtaining unit, configured to obtain category feature information according to the usage category information, including:
a tenth obtaining unit, configured to obtain a first category feature set according to the usage category information;
a tenth processing unit, configured to perform decentralized processing on the first category feature set to obtain the category feature information;
a first processing unit, configured to determine, according to the category feature information, a recovery quality criterion corresponding to the usage category information, where the recovery quality criterion includes a first dimension criterion and a second dimension criterion;
a first construction unit, configured to construct a helium gas recovery quality prediction model, where the helium gas recovery quality prediction model is constructed based on the first dimension standard and the second dimension standard;
a second processing unit, configured to input the first dimension standard and the second dimension standard into the helium gas recovery quality prediction model to obtain a first output result and a second output result, where the first output result and the second output result include a first quality standard of recovered helium gas, the first output result corresponds to the first dimension standard, and the second output result corresponds to the second dimension standard;
a third obtaining unit for obtaining a first dimensional mass and a second dimensional mass of the first recovered helium gas;
a first judging unit, configured to judge whether the first dimension quality satisfies the first output result;
a second judging unit, configured to judge whether the second dimension quality satisfies the second output result;
the first management unit is used for obtaining a first regulation and control instruction if the first dimension quality does not meet the first output result and/or the second dimension quality does not meet the second output result, and the first regulation and control instruction is used for adjusting parameters of a helium recovery device.
8. An autonomous system for improving helium recovery quality, comprising: a processor coupled to a memory for storing a program that, when executed by the processor, causes a system to perform the steps of the method of any of claims 1 to 6.
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| EP0017463B1 (en) * | 1979-04-03 | 1982-11-24 | Monsanto Company | Gas recovery process |
| EP0945163A1 (en) * | 1997-10-09 | 1999-09-29 | Gkss-Forschungszentrum Geesthacht Gmbh | A process for the separation/recovery of gases |
| US7169210B2 (en) * | 2001-07-31 | 2007-01-30 | Praxair Technology, Inc. | Control system for helium recovery |
| GB2477322B (en) * | 2010-02-01 | 2015-10-21 | Gas Recovery & Recycle Ltd | Inert gas recovery system |
| CN106744749A (en) * | 2016-11-30 | 2017-05-31 | 富通集团（嘉善）通信技术有限公司 | For the helium online recycling Application way and device of drawing optical fibers system |
| CN108328588A (en) * | 2018-04-19 | 2018-07-27 | 合肥硕朗自动化科技有限公司 | A kind of helium online recycling equipment for purifying |
| CN110956224B (en) * | 2019-08-01 | 2024-03-08 | 平安科技（深圳）有限公司 | Evaluation model generation and evaluation data processing method, device, equipment and medium |
| CN112066254B (en) * | 2020-08-26 | 2022-11-29 | 杭州永特信息技术有限公司 | Helium recovery control method |
| CN112461458A (en) * | 2020-09-22 | 2021-03-09 | 上海德义机电股份有限公司 | Helium concentration detection control device for helium mass spectrometer leak detection test system |
| CN112892211B (en) * | 2021-01-28 | 2023-06-09 | 中国工程物理研究院核物理与化学研究所 | Column type hydrogen helium separation and concentration coupling device and method |
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