CN114597766B - Generation parameter adjusting method and system for nano water ions - Google Patents

Generation parameter adjusting method and system for nano water ions Download PDF

Info

Publication number
CN114597766B
CN114597766B CN202210252539.0A CN202210252539A CN114597766B CN 114597766 B CN114597766 B CN 114597766B CN 202210252539 A CN202210252539 A CN 202210252539A CN 114597766 B CN114597766 B CN 114597766B
Authority
CN
China
Prior art keywords
purification
parameter
parameter set
parameters
optimization
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202210252539.0A
Other languages
Chinese (zh)
Other versions
CN114597766A (en
Inventor
汪弢
龙敏
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Essen Intelligent Control Technology Co ltd
Original Assignee
Shenzhen Essen Intelligent Control Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen Essen Intelligent Control Technology Co ltd filed Critical Shenzhen Essen Intelligent Control Technology Co ltd
Priority to CN202210252539.0A priority Critical patent/CN114597766B/en
Publication of CN114597766A publication Critical patent/CN114597766A/en
Application granted granted Critical
Publication of CN114597766B publication Critical patent/CN114597766B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01T—SPARK GAPS; OVERVOLTAGE ARRESTERS USING SPARK GAPS; SPARKING PLUGS; CORONA DEVICES; GENERATING IONS TO BE INTRODUCED INTO NON-ENCLOSED GASES
    • H01T23/00—Apparatus for generating ions to be introduced into non-enclosed gases, e.g. into the atmosphere
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A50/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE in human health protection, e.g. against extreme weather
    • Y02A50/20—Air quality improvement or preservation, e.g. vehicle emission control or emission reduction by using catalytic converters

Abstract

The invention provides a method and a system for adjusting generation parameters of nano water ions, wherein the method comprises the following steps: collecting and obtaining multi-dimensional working parameters of the nano water ion generating device to obtain a generating parameter set, wherein the multi-dimensional working parameters comprise Peltier working parameters and high-voltage working parameters; acquiring and obtaining multidimensional pollution parameters in a current target environment to obtain a pollution parameter set; setting a purification verification standard according to the pollution degree in the pollution parameter set; generating and purifying nano water ions according to the generation parameter set, and judging whether the purification result meets the purification verification standard; if the purification result meets the purification verification standard, continuously purifying, and if the purification result does not meet the purification verification standard, optimizing the generation parameter set based on the purification verification standard; and generating and purifying the nano water ions by adopting the optimized generation parameter set.

Description

Generation parameter adjusting method and system for nano water ions
Technical Field
The invention relates to the technical field of air purification, in particular to a method and a system for adjusting generation parameters of nano water ions.
Background
The nanometer water ion is an air purification technology in the current market, and specifically, the collected water is ionized by applying high voltage to generate the nanometer water ion, and the generated nanometer water mist and OH free radicals contained in the nanometer water mist are used for settling and inactivating particles and microorganisms in the air, so that the aim of purification is achieved.
At present, a nanometer water ion generator is generally arranged in an air conditioner or an air purifier, and the purpose of air purification is achieved by adjusting power according to purification requirements and generating nanometer water ions with the power.
In the prior art, the power of the nanometer water ion generator needs to be adjusted according to subjective experience, the adjusting space is small, the environment purifying requirement cannot be accurately met, and the technical problem that the nanometer water ion generating parameters are difficult to accurately adjust exists.
Disclosure of Invention
The application provides a method and a system for regulating generation parameters of nano water ions, which are used for solving the technical problem that the generation parameters of the nano water ions are difficult to accurately regulate in the prior art.
In view of the above problems, the present application provides a method and a system for adjusting generation parameters of nano water ions.
In a first aspect of the present application, there is provided a method for adjusting generation parameters of nano water ions, the method being applied to a system for adjusting generation parameters of nano water ions, the system including a nano water ion generating device, the method including: acquiring and obtaining multi-dimensional working parameters of the nano water ion generating device to obtain a generating parameter set, wherein the multi-dimensional working parameters comprise Peltier working parameters and high-voltage working parameters; acquiring and obtaining multidimensional pollution parameters in a current target environment to obtain a pollution parameter set; setting a purification verification standard according to the pollution degree in the pollution parameter set; generating and purifying nano water ions according to the generation parameter set, and judging whether a purification result meets the purification verification standard; if the purification result meets the purification verification standard, continuously purifying, and if the purification result does not meet the purification verification standard, optimizing the generation parameter set based on the purification verification standard; and generating and purifying the nano water ions by adopting the optimized generation parameter set.
In a second aspect of the present application, there is provided a generation parameter adjustment system for nano water ions, the system comprising: the device comprises a first obtaining unit, a second obtaining unit and a control unit, wherein the first obtaining unit is used for acquiring and obtaining multi-dimensional working parameters of the nano water ion generating device to obtain a generating parameter set, and the multi-dimensional working parameters comprise Peltier working parameters and high-voltage working parameters; the second obtaining unit is used for acquiring and obtaining multi-dimensional pollution parameters in the current target environment to obtain a pollution parameter set; the first processing unit is used for setting a purification verification standard according to the pollution degree in the pollution parameter set; the first judgment unit is used for generating and purifying nano water ions according to the generation parameter set and judging whether the purification result meets the purification verification standard or not; a second processing unit, configured to continue to perform the purging if the purging result satisfies the purging verification standard, and perform optimization of the generation parameter set based on the purging verification standard if the purging result does not satisfy the purging verification standard; and the third processing unit is used for generating and purifying the nano water ions by adopting the optimized generation parameter set.
In a third aspect of the present application, there is provided a generation parameter adjustment system for nano water ions, 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 according to the first aspect.
In a fourth aspect of the present application, a computer-readable storage medium is provided, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the method according to the first aspect.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
the embodiment of the application acquires the current Peltier working parameter and the high-pressure working parameter of the nanometer water ion generating device through collection, acquire the current generation parameter set, then acquire the multidimensional pollution parameter in the current target purification environment, according to the pollution degree in the multidimensional pollution parameter, set the corresponding purification verification standard, then carry out the generation and purification of nanometer water ions with the current generation parameter set, judge whether the purification result accords with the purification verification standard, if not, then should purify the verification standard, carry out the optimization of the generation parameter set, and adopt the generation parameter set after optimizing to carry out the generation and purification of nanometer water ions. The embodiment of the application acquires the multidimensional working parameters of the current nanometer water ion generating device, acquires the multidimensional pollution parameters in the current target environment to set the purification check standard, can accurately judge that the working parameters of the current nanometer water ion generating device can reach the purification target standard, and can carry out multidimensional optimization on the working parameters when the target standard is not met, and set a specific optimization method, so that the working parameters of the nanometer water ion generating device can be effectively optimized, the effect of air optimization of the generated nanometer water ions meets the purification check standard, and simultaneously meets the requirements of other multidimensional requirements such as power and the like, and the technical effects of improving the accuracy of adjustment of the nanometer water ion generating parameters and the air purification effect are achieved.
The above description is only an overview of the technical solutions of the present application, and the present application may be implemented in accordance with the content of the description so as to make the technical means of the present application more clearly understood, and the detailed description of the present application will be given below in order to make the above and other objects, features, and advantages of the present application more clearly understood.
Drawings
Fig. 1 is a schematic flow chart of a method for adjusting generation parameters of nano water ions according to the present application;
fig. 2 is a schematic structural diagram of a nano water ion generating device in a method for adjusting generation parameters of nano water ions provided by the present application;
FIG. 3 is a schematic flow chart of the purification verification criteria obtained in the method for adjusting generation parameters of nano water ions provided by the present application;
fig. 4 is a schematic flow chart of an optimized generation parameter set in a generation parameter adjustment method of nano water ions provided by the present application;
FIG. 5 is a schematic structural diagram of a system for regulating generation parameters of nano water ions according to the present application;
FIG. 6 is a schematic diagram of an exemplary electronic device of the present application;
fig. 7 is a schematic diagram of the connection between the nano water ion generating device and the high-voltage package and the control board.
Description of the reference numerals: the device comprises a first obtaining unit 11, a second obtaining unit 12, a first processing unit 13, a first judging unit 14, a second processing unit 15, a third processing unit 16, a nanometer water ion generating device 200, a moisture condensation module 210, a high-voltage discharging module 220, an electronic device 300, a memory 301, a processor 302, a communication interface 303 and a bus architecture 304.
Detailed Description
The application provides a method and a system for adjusting generation parameters of nano water ions, which are used for solving the technical problem that the generation parameters of the nano water ions are difficult to accurately adjust in the prior art.
Summary of the application
With the development of economy and the improvement of life quality, the requirements of people on the life quality are further improved, and especially the health problem is particularly emphasized. Because the air pollution in the city is relatively serious at present, the requirement of people on the air quality is gradually improved, and the air purification technologies such as ultraviolet rays, nano water ions and the like are widely applied to the field of air purification indoors.
The nanometer water ions are obtained by the generation of a nanometer water ion generating device, specifically, water in the air is gathered and liquefied by utilizing the Peltier effect, then high voltage is applied to the gathered water to ionize the water to generate nanometer water ions, and the generated nanometer water mist and OH free radicals contained in the nanometer water mist are used for settling and inactivating particles and microorganisms in the air to achieve the aim of purification.
At present, a nano water ion generator is generally arranged in an air conditioner or an air purifier, is connected with a high-voltage bag and a control panel (refer to fig. 7), and generates nano water ions by adjusting power according to purification requirements, so as to achieve the purpose of air purification.
In the prior art, the power of a nanometer water ion generator needs to be adjusted according to subjective experience, the adjusting space is small, the nanometer water ion generator cannot accurately adapt to the purification requirement of the environment, the purification requirement cannot be met or electric energy is wasted, and the technical problem that the nanometer water ion generation parameters are difficult to accurately adjust exists.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
the embodiment of the application acquires the current Peltier working parameter and the high-pressure working parameter of the nanometer water ion generating device through collection, acquire the current generation parameter set, then acquire the multidimensional pollution parameter in the current target purification environment, according to the pollution degree in the multidimensional pollution parameter, set the corresponding purification verification standard, then carry out the generation and purification of nanometer water ions with the current generation parameter set, judge whether the purification result accords with the purification verification standard, if not, then should purify the verification standard, carry out the optimization of the generation parameter set, and adopt the generation parameter set after optimizing to carry out the generation and purification of nanometer water ions.
Having described the basic principles of the present application, the following detailed description will be made in a clear and complete manner 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 embodiments of the present application, and that the present application is not limited by the exemplary 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 relevant portions of the present application are shown in the drawings.
Example one
As shown in fig. 1, the present application provides a method for adjusting generation parameters of nano water ions, which is applied to a system for adjusting generation parameters of nano water ions, the system comprising a nano water ion generating device 200, the method comprising:
s100: acquiring and obtaining multi-dimensional working parameters of the nano water ion generating device to obtain a generating parameter set, wherein the multi-dimensional working parameters comprise Peltier working parameters and high-voltage working parameters;
fig. 2 shows a schematic diagram of a possible structure of a nanometer water ion generating device 200 in an embodiment of the present application, where the nanometer water ion generating device 200 may be a nanometer water ion generating device with any structure in the prior art, may be a single nanometer water ion generating device 200, and may also be a nanometer water ion generating device disposed in an air conditioner, an air purifier, or other equipment, and is configured to generate nanometer water ions to achieve air purification.
In the embodiment of the present application, as shown in fig. 2, the nano water ion generating device 200 includes a moisture condensing module 210 and a high voltage discharging module 220. The moisture condensation module 210 is used to condense and condense moisture in the air to form liquid water, and the moisture condensation module 210 may be a peltier device in the prior art, which may reduce the temperature of a portion of the area after being powered on, and condense the moisture in the air after being reduced to the dew point temperature of the moisture.
The high voltage discharging module 220 is used for applying high voltage to the condensed water to perform rayleigh splitting, generate nano water ions and OH radicals to be released into the air, so as to achieve the purpose of purification, and exemplarily, the high voltage discharging module 220 includes a high voltage electrode close to the water condensing module 210 and a high voltage pack for providing power thereto, so as to generate high voltage.
The moisture condensation module 210 is used for condensing moisture, and the cooling temperature therein can be adjusted by adjusting the power of the moisture condensation module 210, so that the rate and the amount of condensed moisture can be adjusted, and the efficiency of generating nano water ions can be adjusted by adjusting the power of the high-voltage discharge module 220.
Optionally, the peltier operation parameter includes a power parameter of the peltier condensation water collection in the moisture condensation module 210, and the high-voltage operation parameter includes a power parameter of the nano water ions generated by the high-voltage electricity released in the high-voltage discharge module 220. Therefore, the peltier operation parameter in the moisture condensation module 210 and the high-voltage operation parameter in the high-voltage discharge module 220 can affect the efficiency and purification effect of the nano water ion generation device 200 for generating nano water ions.
The current Peltier working parameters and the high-voltage working parameters of the nanometer water ion generating device 200 are obtained to form multidimensional working parameters, so that the working state of the current nanometer water ion generating device 200 can be known, and whether the air purification effect under the working state can meet the requirement or not is analyzed.
S200: acquiring multi-dimensional pollution parameters in a current target environment to obtain a pollution parameter set;
in the embodiment of the present application, the target environment is an area where the nanometer water ions generated by the nanometer water ion generating device 200 are currently needed to perform air purification, and the target environment may be, for example, an environment in a home, an office, a factory, a hospital, or the like.
In the embodiment of the present application, the above-mentioned multidimensional contamination parameters mainly include microorganisms and suspended particulate contamination. Specifically, in a target environment, pollution such as particulate matters and microorganisms exists, which results in low air quality, for example, the particulate matters can be PM2.5, the microorganisms can be bred bacteria, etc., nano water mist formed by nano water ions can settle suspended fine particulate matters, OH free radicals in the nano water ions can react with H elements in the microorganisms to inactivate the microorganisms, and thus, the purpose of air purification is achieved.
Through the pollution parameter of the pollution existing in the analysis target environment air, the pollution degree of the air in the analysis target environment can be analyzed, and then the data basis of the current air purification effect is judged as the analysis.
Step S200 in the method provided in the embodiment of the present application includes:
s210: acquiring content parameters of the particles in the target environment to obtain first particle parameters;
s220: acquiring and obtaining a microbial content parameter in the target environment;
s230: acquiring particle size parameters of the particles in the target environment to obtain second particle parameters;
s240: and taking the first particle parameter, the second particle parameter and the microorganism content parameter as the pollution parameter set.
Specifically, the content and the particle size of particulate matters in the air in the current target environment are collected and detected, and the content of microorganisms in the current target environment is collected and detected to serve as the multidimensional pollution parameter in the current target environment.
Illustratively, the content of the microorganisms in the air sample is obtained by collecting the air sample in the current environment, and then detecting the content of the microorganisms in the air sample by methods such as a microorganism sedimentation method, a colony counting method and a planktonic bacteria measuring method in the prior art, so as to obtain the content of the microorganisms in the air sample, and further obtain the first particulate parameter in the target environment.
Optionally, the method includes acquiring an air sample in the current environment, determining by a method for determining total suspended particles in air in the prior art, and determining content parameters of particles in the air sample to obtain first particle parameters. And detecting the particle size distribution of the particles in the air sample by methods such as a scattering detection method in the prior art, obtaining the content of the particles with each particle size, obtaining the particle size parameters of the particles, and further obtaining the second particle size parameters.
And taking the first particulate matter parameter, the second particulate matter parameter and the microorganism content parameter as a pollution parameter set in the current target environment, wherein the pollution parameter set can reflect the pollution degree of the air in the target environment. By collecting multidimensional pollution parameters in a target environment, the pollution parameter set can be used as a data base for setting working parameters of the nanometer water ion generating device 200, and the accuracy of adjusting and optimizing the nanometer water ion generating parameters can be improved. S300: setting a purification verification standard according to the pollution degree in the pollution parameter set;
and setting corresponding purification verification standards according to the pollution degree of the air in the target environment reflected by the pollution parameter set, wherein the higher the pollution degree reflected by the pollution parameter set is, the more strict the corresponding purification verification standards are.
After the air in the target environment is purified by adopting the nano water ions, the purified air can reach the purification verification standard.
Because the purification verification standard is set according to the pollution parameter set in the target environment, the obtained purification verification standard is more personalized, better and more accurate.
As shown in fig. 3, step S300 in the method provided in the embodiment of the present application includes:
s310: respectively carrying out weight distribution according to the influence capacity of the first particulate matter parameter, the second particulate matter parameter and the microorganism content parameter on the target environmental pollution degree to obtain a first weight distribution result;
s320: obtaining a first decontamination time period;
s330: obtaining a purification efficiency verification standard according to the first purification time period and the pollution parameter set;
s340: obtaining a purification capacity check standard according to the pollution parameter set;
s350: respectively carrying out weighted calculation adjustment on the purification efficiency verification standard and the purification capacity verification standard by adopting the first weight distribution result;
s360: and taking the adjusted purification efficiency verification standard and purification capacity verification standard as the purification verification standard.
Specifically, according to different target environments, the pollution capacity of particulate matters, microorganisms and different particle sizes of the particulate matters to the environment is different, and the requirements of different target environments to air purification are different, illustratively, for air purification inside a factory, part of the factory needs to keep the workshop dust-free, and influence on the product dust falling influence function and precision is avoided, so that the requirement on purification of the particulate matters in the air is higher. The air purification in the family needs to ensure the human health and avoid the reproduction of microorganisms in the clothes, and the purification requirement of the microorganisms in the air is slightly higher than that of particles.
Therefore, the weight distribution is carried out according to the influence capacity of the first particulate matter parameter, the second particulate matter parameter and the microorganism content parameter on the pollution degree of the target environment in different target environments, and a first weight distribution result is obtained.
Step S310 in the method provided in the embodiment of the present application includes:
s311: constructing and obtaining a weight distribution model according to the target environment, wherein the weight distribution model comprises a plurality of weight distribution channels with isolated information;
s312: inputting the first particulate matter parameter, the second particulate matter parameter and the microorganism content parameter into the weight distribution model, and performing weight distribution on the plurality of weight distribution channels to obtain a plurality of weight distribution results;
s313: respectively calculating and obtaining a first weight value, a second weight value and a third weight value of the first particulate matter parameter, the second particulate matter parameter and the microorganism content parameter according to the weight distribution results;
s314: and obtaining the first weight distribution result according to the first, second and third weight values.
Specifically, according to the requirement of the current target environment on air purification and the air purification field of the target environment, a weight distribution model is constructed and obtained, a plurality of weight distribution channels with isolated information are included in the weight distribution model, and independent weight distribution can be performed on the influence capacity of the first particulate matter parameter, the second particulate matter parameter and the microorganism content parameter on the pollution degree of the target environment in each weight distribution channel.
For example, if the target environment is the interior of the plant, a plurality of weight distribution subjects are selected from the air purification field of the plant, and a corresponding weight distribution channel is formed for each weight distribution subject to perform weight distribution. The weight assignment subject may be, for example, an air purification expert in the field corresponding to the target environment, such as an expert in the field of air purification, dust requirement, and air quality requirement inside a factory, and may be, specifically, a subject such as an expert institution or a person.
Optionally, the weight distribution channels constructed by each weight distribution subject are isolated from each other, so that each weight distribution channel can perform independent weight distribution without being influenced by the distribution weights of other weight distribution channels.
And respectively carrying out independent weight distribution on the influence capacity of the first particulate matter parameter, the second particulate matter parameter and the microorganism content parameter on the target environmental pollution degree based on the plurality of weight distribution channels to obtain a plurality of weight distribution results. In a plurality of weight distribution results, the weight values corresponding to the first particulate matter parameter, the second particulate matter parameter and the microorganism content parameter are different.
In the embodiment of the application, when the weight distribution channels perform weight distribution on the first particulate matter parameter, the second particulate matter parameter and the microorganism content parameter, the weight distribution channels not only distribute the influence capacity of the particulate matter and the microorganisms on the target environmental air pollution, but also distribute the influence capacity according to specific values in the first particulate matter parameter, the second particulate matter parameter and the microorganism content parameter. Illustratively, if the contents of the microorganisms and the particles in the target environment reflected in the first particle parameter and the microorganism content parameter are both high, although the target environment is inside the plant, the influence of the microorganisms on the air pollution needs to be paid more attention to, and the weight values are adjusted and increased accordingly.
According to the multiple weight distribution results, calculating an average value according to multiple weight values of the first particulate matter parameter, the second particulate matter parameter and the microorganism content parameter in the multiple weight distribution results respectively, and obtaining first, second and third weight values of the first particulate matter parameter, the second particulate matter parameter and the microorganism content parameter as first weight distribution results.
In the embodiment of the application, because single weight distribution may have a bias, a plurality of weight distribution channels are constructed to respectively distribute weights, and then a final weight distribution result is obtained through calculation, so that the fairness of the weight distribution can be improved, and the weight distribution is more accurate.
After obtaining the first weight assignment result, the construction obtains a first purging time period.
In the embodiment of the present application, the first purification time period is specifically a time period for purifying the air in the target environment, for example, if the air in the target environment needs to be purified to a certain degree of purity within two days, the first purification time period may be two days. Of course, the first decontamination period may also be one day, one week, etc.
And obtaining a purification efficiency verification standard according to the first purification time period and the first particulate matter parameter and the microorganism content parameter in the pollution parameter set. Purification efficiency verifies the concentration decay efficiency that the standard specifically is microorganism and particulate matter when air purification, promptly in this first purification time cycle, need keep the purification efficiency that this purification efficiency verifies the standard corresponds, just can guarantee to purify air to the purity that needs, specifically accessible particulate matter content and microorganism content calculate.
Wherein the concentration decay efficiency of microorganisms and particulate matter is not constant during the first decontamination time period, e.g., faster during the initial period of decontamination and slower during the later period of decontamination, and therefore the decontamination efficiency in the decontamination efficiency verification criteria includes the decontamination efficiency requirements at different time points during the first decontamination time period.
And setting corresponding final purification requirements according to the multidimensional pollution parameters in the pollution parameter set and the current target environment to obtain a purification capacity verification standard, wherein the purification capacity verification standard exemplarily comprises the contents of microorganisms and particulate matters after final purification is finished. Accordingly, the purification ability verification standard is a content standard of microorganisms and particulate matters after purification is completed according to the purification efficiency verification standard and the purification efficiency in the first purification time period.
And in the specific adjustment process, respectively carrying out weighted adjustment on the particulate matter standard and the microorganism standard in the purification efficiency verification standard and the purification capacity verification standard according to the weight values in the first weight distribution result.
Illustratively, if the influence of the particulate matter on the air pollution of the target environment is large, the particulate matter content standard is adjusted to be lower according to the weight value, and the purification efficiency standard is adjusted to be higher. If the influence of the particles with a certain particle size on the air pollution of the target environment is large, the content standard of the particles with the particle size is adjusted to be lower according to the weight value, and the specific adjustment degree can be adjusted according to the weight value and the specific size of the standard.
And taking the adjusted purification efficiency verification standard and purification capacity verification standard as final purification verification standards. According to the method provided by the embodiment of the application, the influence capacity of the multidimensional pollution parameters on the environmental air pollution is subjected to weight distribution, the purification efficiency check standard and the purification capacity check standard are set according to the purification time, the target standards of different pollution parameters after purification are analyzed, the check standards are adjusted according to the weight distribution, the personalized purification check standards can be obtained, the requirements of multiple aspects such as the purification time, the purification area and the pollution parameters are met, and the current air purification can be analyzed and judged more pertinently and accurately to meet the required standards.
S400: generating and purifying nano water ions according to the generation parameter set, and judging whether a purification result meets the purification verification standard;
based on the aforementioned occurrence parameter set subjectively set at present, the nano water ion generation device 200 works to generate nano water ions and purify air, and after a first purification time period, it is determined whether the air purification result in the target environment meets the aforementioned purification verification standard.
Although experimental air purification is currently performed on the target environment, the pollution parameter sets in multiple times in the same target environment are similar, so that optimization of the occurrence parameter set currently is performed, and the air purification effect in the target environment in the subsequent time can be improved.
In the embodiment of the application, when the nano water ions are generated and purified, the actual air purification is not performed, but a mathematical model is constructed according to the generation parameter set and the pollution parameter set, so that the air purification of the target environment is simulated, and the time is saved.
S600: if the purification result meets the purification verification standard, continuously purifying, and if the purification result does not meet the purification verification standard, optimizing the generation parameter set based on the purification verification standard;
if the air purification performed by adopting the current generation parameter set meets the standard of the purification verification standard, the current generation parameter set can meet the air purification requirement in the target environment, and the air purification can be continuously performed according to the generation parameter set.
If the air purification performed by using the current generation parameter set does not meet the standard of the purification verification standard, it indicates that the current generation parameter set cannot meet the air purification requirement in the target environment, and the generation parameter set needs to be optimized.
As shown in fig. 4, step S600 in the method provided in the embodiment of the present application includes:
s610: setting and obtaining a global optimization space, wherein the global optimization space comprises a plurality of generation parameter sets;
s620: randomly generating a first generation parameter set in the global optimization space;
s630: performing optimization iteration, and randomly generating a second generation parameter set in the global optimization space;
s640: judging whether the second generation parameter set meets a preset condition or not, if so, taking the second generation parameter set as a current optimization result, and if not, cooperating the first generation parameter set as a current optimization result;
s650: and performing iterative optimization for multiple times until the current optimization result meets a preset optimization condition to obtain an optimal generation parameter set.
The global optimization space includes the feasible domain where the optimization is currently performed, and the related constraint conditions, which ensure that the optimization is performed in the space. In the embodiment of the present application, the optimized generation parameter set in the global optimization space needs to satisfy the above-mentioned purification verification criteria and satisfy other optimization conditions.
Step S610 in the method provided in the embodiment of the present application includes:
s611: setting a first optimization constraint condition according to the purification verification standard;
s612: setting a second optimization constraint condition according to the multi-dimensional working parameters of the nano water ion generating device 200;
s613: acquiring an ozone content standard in the target environment, and setting a third optimization constraint condition;
s614: adjusting the multiple generation parameter sets according to the working frequency requirement of the nanometer water ion generation device;
s615: and constructing and obtaining the global optimization space according to the first optimization constraint condition, the second optimization constraint condition, the third optimization constraint condition and the adjusted multiple occurrence parameter sets.
Specifically, according to the purification verification criteria, the first optimization constraint condition is set, and the optimization in the embodiment of the present application is the optimization of the generation parameter set of the nano water ion generation device 200, which includes the peltier operation parameter and the high-voltage operation parameter, and different peltier operation parameters and high-voltage operation parameters can be combined into various combinations, thereby forming various generation parameter sets. Under the first optimization constraint condition, after the air purification within the first time period is performed on the multiple generation parameter sets, it is required to ensure that the purification result after the purification meets the purification verification standard, and therefore, the first optimization constraint condition is also the most important constraint condition.
According to the multidimensional working parameters of the nano water ion generating device 200, a second optimization constraint condition is set, under the second optimization constraint condition, the Peltier working parameters and the high-voltage working parameters in the generation parameter set obtained through optimization cannot exceed the maximum limit of the multidimensional working parameters, for example, the voltage of the high-voltage electricity in the high-voltage working parameters cannot exceed the maximum voltage.
Obtaining the standard of the ozone content in the target environment, and optimizing the constraint condition, specifically, in the process of generating nano water ions by using high voltage, if the voltage is too high, ozone may be generated, which can improve the efficiency of air purification, but is harmful to human body, so that the generated ozone is prevented from exceeding the standard of the ozone content in the target environment. Illustratively, the ozone level standard may be 0.05ppm. In the third optimization constraint condition, the generation parameter set obtained by optimization must ensure that the ozone content in the target environment does not exceed the ozone content standard in the optimization process.
After the first optimization constraint condition, the second optimization constraint condition and the third optimization constraint condition are set, a plurality of occurrence parameter sets meeting the three constraint conditions are obtained.
Further, according to the operating frequency requirement of the nano water ion generating device 200, which includes the threshold of the operating frequency of each module in the nano water ion generating device 200, if the operating frequency exceeds the corresponding threshold, the nano water ion generating device 200 will be aged and damaged more quickly, and the service life of the nano water ion generating device 200 will be reduced.
In the embodiment of the application, the operating frequency requirement includes peltier operating parameters and high-voltage operating parameters, and is smaller than the maximum values of the peltier operating parameters and the high-voltage operating parameters, and the nano ionized water is elaborated according to the operating frequency requirement, so that each module in the nano ionized water generating device 200 can be ensured not to run under load, and the service life is ensured. Therefore, according to the working frequency requirement, the current various generation parameter sets are adjusted, and the global optimization space is further set.
And thus, a global optimization space is constructed and obtained according to the first optimization constraint condition, the second optimization constraint condition, the third optimization constraint condition and the adjusted multiple occurrence parameter sets. And in the global optimization space, a plurality of occurrence parameter sets meeting the requirements of a first optimization constraint condition, a second optimization constraint condition, a third optimization constraint condition and the working frequency are included.
The peltier operation parameter and the high voltage operation parameter within the set of generation parameters are not constant during the first decontamination period of time but may vary according to a time course, e.g. higher power and higher voltage during an early period of decontamination and lower power and lower voltage during a later period of decontamination.
According to the embodiment of the application, the overall optimization space is constructed through multi-dimensional constraint conditions based on purification verification standards, working parameter ranges, ozone content standards, working frequency requirements and the like, the requirements of other multiple dimensions are met simultaneously in the process of optimizing generation parameter sets, the air purification generation parameter sets which are low in power, low in energy consumption and harmless to human bodies can be obtained under the condition that air purification is finished, and the effects of generation of nano water ions and air purification are improved.
And after the global optimization space is constructed, optimizing in the global optimization space. Firstly, an occurrence parameter set is randomly selected in a global optimization space to serve as a first occurrence parameter set and serve as a current solution of optimization.
Then, carrying out first optimization iteration, randomly selecting one generation parameter set in the global optimization space as a second generation parameter set, and then judging whether the second generation parameter set meets the preset condition or not.
Step S640 in the method provided in the embodiment of the present application includes:
s641: respectively acquiring a first purification result parameter and a second purification result parameter corresponding to the first generation parameter set and the second generation parameter set;
s642: judging whether the second purification result parameter is superior to the first purification result parameter;
s643: and if the second purification result parameter is superior to the first purification result parameter, taking the second generation parameter set as a current optimization result, and if the second purification result parameter is not superior to the first purification result parameter, taking the second generation parameter set as a current optimization result according to a probability formula.
Specifically, a first purification result parameter and a second purification result parameter corresponding to a first generation parameter set and a second generation parameter set are respectively obtained, and the first purification result parameter and the second purification result parameter are parameters of a purification result and related purification efficiency obtained in a target environment after nanometer water ion generation and air purification are performed in a pollution parameter set of the target environment according to the first generation parameter set and the second generation parameter set.
And judging whether the second purification result parameter is superior to the first purification result parameter, if so, indicating that the air purification effect of the second generation parameter set is superior to that of the first generation parameter set, giving up the first generation parameter set, and taking the second generation parameter set as the current solution of optimization.
If the second purification result parameter is not superior to the first purification result parameter, it indicates that the air purification effect of the second purification result parameter is inferior to that of the first generation parameter set, but the second purification result parameter cannot be directly abandoned at this time.
Therefore, when the second purification result parameter is not superior to the first purification result parameter, the second generation parameter set is accepted as the current optimization result according to the probability formula, and the first generation parameter set is abandoned. The probability formula is as follows:
Figure BDA0003547407470000171
wherein e is the natural logarithm, R 2 As a second cleaning result parameter, R 1 For the first cleaning result parameter, N is an optimization rate factor.
Wherein, because the second purification result parameter is not superior to the first purification result parameter, the content of the purified pollutant in the second purification result parameter is higher than that of the first purification result parameter, and R is obtained after the second purification result parameter and the first purification result parameter are subjected to data identification or digitization 2 And R 1 And R is 2 Greater than R 1 。
N is an optimization rate factor, which may be specifically a constant for adjusting the probability P of accepting the iteratively obtained set of occurrence parameters, and may vary. In the probability of whether to accept the second generation parameter set as the current optimization result, the value of N is larger, so that the probability of accepting the second generation parameter set as the current optimization result is larger. And in the occurrence parameter set of the subsequent iteration, N is gradually reduced, so that the probability of accepting the combination of the new occurrence parameter set obtained by iteration as the current optimization result is gradually reduced when the purification result parameter of the occurrence parameter set obtained by iteration is smaller than the purification result parameter of the current occurrence parameter set.
Specifically, in the initial stage of iterative optimization, the probability of directly obtaining a globally optimal occurrence parameter set is extremely low, and in order to increase the speed of iterative optimization at the beginning of optimization, N is relatively high, so that even if an occurrence parameter set with a relatively poor air purification effect is obtained, the occurrence parameter set can be accepted as a current optimization result with a relatively high probability, and the optimization is prevented from stagnating at a currently possible locally optimal position.
And as the optimization iteration is carried out, the probability that the current optimization result is a globally optimal generation parameter set is higher, certainly, the current optimization result can also be locally optimal, when the generation parameter set with poor air purification effect is obtained again, N is gradually reduced, and the generation parameter set with the reduced probability is accepted as the current optimization result. With the increase of the iteration times, N is gradually reduced, so that the probability of receiving the occurrence parameter set with poor air purification effect and combining the occurrence parameter set with the current optimization result is gradually reduced. Illustratively, the manner of reduction of N may be an exponential reduction.
And if so, after judging whether the second generation parameter set is accepted as the current optimization result, continuing optimization iteration, randomly obtaining a third generation parameter set, continuing judgment, and performing multiple times of iteration optimization.
Until the newly obtained generation parameter sets are not used as the current optimization result in the optimization iterations of the preset times, that is, the air optimization results corresponding to the generation parameter sets obtained by the iterations of the preset times are inferior to the generation parameter sets in the current optimization results, the acceptance probability is low, and the generation parameter sets which are not accepted are combined into the current optimization results. And finishing the current optimization, and selecting the current optimization result as a global optimization result, namely taking the generation parameter set in the current optimization result as an optimal generation parameter set to finish the optimization of the generation parameter set.
The preset times can be specifically set according to the number and N of occurrence parameter sets in the global optimization space, so that the optimization efficiency is improved, and the local optimal optimization result is prevented from being finally obtained.
According to the embodiment of the application, the optimization constraint conditions are set based on multi-dimensional information such as the purification verification standard, the working parameters and the ozone content standard, the global optimization space is constructed to optimize the generation parameter set, the generation parameter set can be optimized and obtained from various generation parameter sets meeting the conditions quickly, the probability formula is set to receive and judge the optimization result, the optimization efficiency and the optimization accuracy can be improved, and the technical effect of optimizing and obtaining the globally optimal generation parameter set is achieved.
S700: and generating and purifying the nano water ions by adopting the optimized generation parameter set.
And starting and controlling the nano water ion generating device 200 to generate and purify nano water ions by using the Peltier working parameters and the high-pressure working parameters in the global optimal generation parameter set obtained after optimization.
To sum up, the embodiment of the application sets up the purification verification standard by collecting the multidimensional working parameters of the current nanometer water ion generating device and collecting the multidimensional pollution parameters in the current target environment, can accurately judge that the working parameters of the current nanometer water ion generating device can reach the purification target standard, and carry out multidimensional optimization on the working parameters when the target standard is not met, and set up a specific optimization method, construct a global optimization space, carry out optimization of a generation parameter set, can effectively optimize the working parameters of the nanometer water ion generating device, make the effect of air optimization of the generated nanometer water ions meet the purification verification standard, and simultaneously meet the requirements of other dimensions such as power and the like, and achieve the technical effects of improving the accuracy of adjustment of the nanometer water ion generating parameters and the air purification effect.
Example two
Based on the same inventive concept as the method for adjusting generation parameters of nano water ions in the previous embodiment, as shown in fig. 5, the present application provides a system for adjusting generation parameters of nano water ions, wherein the system comprises:
the first obtaining unit 11 is configured to acquire and obtain multidimensional working parameters of the nano water ion generating device 200 to obtain a generation parameter set, where the multidimensional working parameters include peltier working parameters and high-voltage working parameters;
a second obtaining unit 12, configured to acquire and obtain multidimensional pollution parameters in a current target environment, so as to obtain a pollution parameter set;
the first processing unit 13 is used for setting a purification verification standard according to the pollution degree in the pollution parameter set;
a first judgment unit 14, configured to generate and purify nano water ions according to the generation parameter set, and judge whether the purification result meets the purification verification standard;
a second processing unit 15, configured to continue to perform the purging if the purging result meets the purging verification criterion, and perform optimization of the generation parameter set based on the purging verification criterion if the purging result does not meet the purging verification criterion;
and the third processing unit 16 is used for generating and purifying the nano water ions by adopting the optimized generation parameter set.
Further, the system further comprises:
the third obtaining unit is used for acquiring and obtaining content parameters of the particles in the target environment to obtain first particle parameters;
a fourth obtaining unit, configured to acquire and obtain a microbial content parameter in the target environment;
a fifth obtaining unit, configured to acquire and obtain particle size parameters of the particles in the target environment, so as to obtain second particle parameters;
and the fourth processing unit is used for taking the first particulate matter parameter, the second particulate matter parameter and the microorganism content parameter as the pollution parameter set.
Further, the system further comprises:
the fifth processing unit is used for carrying out weight distribution according to the influence capacity of the first particulate matter parameter, the second particulate matter parameter and the microorganism content parameter on the target environmental pollution degree respectively to obtain a first weight distribution result;
a sixth obtaining unit for obtaining the first purge time period;
a seventh obtaining unit, configured to obtain a purification efficiency verification standard according to the first purification time period and the pollution parameter set;
an eighth obtaining unit, configured to obtain a purification capability verification standard according to the pollution parameter set;
the sixth processing unit is used for respectively carrying out weighted calculation adjustment on the purification efficiency verification standard and the purification capacity verification standard by adopting the first weight distribution result;
and the seventh processing unit is used for taking the adjusted purification efficiency verification standard and purification capacity verification standard as the purification verification standard.
Further, the system further comprises:
the first construction unit is used for constructing and obtaining a weight distribution model according to the target environment, wherein the weight distribution model comprises a plurality of weight distribution channels with isolated information;
the eighth processing unit is used for inputting the first particulate matter parameter, the second particulate matter parameter and the microorganism content parameter into the weight distribution model, and the weight distribution channels are used for carrying out weight distribution respectively to obtain a plurality of weight distribution results;
the ninth processing unit is used for respectively calculating and obtaining a first weight value, a second weight value and a third weight value of the first particulate matter parameter, the second particulate matter parameter and the microorganism content parameter according to the multiple weight distribution results;
a ninth obtaining unit, configured to obtain the first weight distribution result according to the first, second, and third weight values.
Further, the system further comprises:
the tenth processing unit is used for setting and obtaining a global optimization space, wherein the global optimization space comprises a plurality of generation parameter sets;
an eleventh processing unit, configured to randomly generate a first generation parameter set in the global optimization space;
the twelfth processing unit is configured to perform optimization iteration and randomly generate a second generation parameter set in the global optimization space;
the second judgment unit is used for judging whether the second generation parameter set meets a preset condition or not, if so, the second generation parameter set is used as a current optimization result, and if not, the first generation parameter set is used as a current optimization result;
and the thirteenth processing unit is used for performing iterative optimization for multiple times until the current optimization result meets a preset optimization condition to obtain an optimal generation parameter set.
Further, the system further comprises:
a fourteenth processing unit, configured to set a first optimization constraint condition according to the purification verification criterion;
a fifteenth processing unit, configured to set a second optimization constraint condition according to the multidimensional operating parameter of the nano water ion generating device 200;
a sixteenth processing unit, configured to obtain an ozone content standard in the target environment, and set a third optimization constraint condition;
a seventeenth processing unit, configured to adjust the multiple generation parameter sets according to the requirement of the operating frequency of the nano water ion generating device 200;
and the second construction unit is used for constructing and obtaining the global optimization space according to the first optimization constraint condition, the second optimization constraint condition, the third optimization constraint condition and the adjusted multiple occurrence parameter sets.
Further, the system further comprises:
a tenth obtaining unit, configured to obtain a first purification result parameter and a second purification result parameter corresponding to the first generation parameter set and the second generation parameter set, respectively;
a third judging unit for judging whether the second purification result parameter is superior to the first purification result parameter;
an eighteenth processing unit, configured to, if the second purification result parameter is better than the first purification result parameter, take the second generation parameter set as a current optimization result, and if the second purification result parameter is not better than the first purification result parameter, take the second generation parameter set as a current optimization result according to a probability formula, where the probability formula is:
Figure BDA0003547407470000221
wherein e is the natural logarithm, R 2 As a second cleaning result parameter, R 1 For the first cleaning result parameter, N is an optimization rate factor.
EXAMPLE III
Based on the same inventive concept as the method for adjusting generation parameters of nano water ions in the foregoing embodiments, the present application further provides a computer-readable storage medium, on which a computer program is stored, and the computer program is executed by a processor to implement the method in the first embodiment.
Exemplary electronic device
The electronic device of the present application is described below with reference to figure 6,
based on the same inventive concept as the method for adjusting the generation parameters of the nano water ions in the previous embodiment, the present application further provides a system for adjusting the generation parameters of the nano water ions, which comprises: a processor coupled to a memory, the memory 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. 6, but this is not intended to represent only one bus or type of bus.
Processor 302 may be a CPU, microprocessor, ASIC, or one or more integrated circuits for controlling the execution of programs in accordance with the teachings of the present application.
The communication interface 303 may be any device, such as a transceiver, for communicating with other devices or communication networks, such as an ethernet, a Radio Access Network (RAN), a Wireless Local Area Network (WLAN), a wired access network, and the like.
The memory 301 may be, but is not limited to, 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-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.), a magnetic disk storage medium or other magnetic storage device, 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. 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 implementing the present application, and is controlled by the processor 302 to execute. The processor 302 is used for executing the computer-executable instructions stored in the memory 301, so as to implement a method for adjusting the generation parameters of nano water ions provided by the above embodiments of the present application.
Those of ordinary skill in the art will understand that: the various numbers of the first, second, etc. mentioned in this application are for convenience of description and are not intended to limit the scope of this application nor to indicate the order of precedence. "and/or" describes the association relationship of the associated object, indicating that there may be three relationships, for example, a and/or B, which may indicate: 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 item(s) or item(s). 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, all or part of the implementation may be 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 the computer program instructions are loaded and executed on a computer, the procedures or functions described in accordance with the present application are generated, 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 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, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. 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 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 through the 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 this application 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 as discrete components in a 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 application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the 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 present application and its equivalent technology, it is intended that the present application include such modifications and variations.

Claims (7)

1. A method for adjusting generation parameters of nano water ions is applied to a system for adjusting the generation parameters of the nano water ions, the system comprises a nano water ion generating device, the nano water ion generating device comprises a moisture condensation module and a high-voltage discharge module, and the method comprises the following steps:
acquiring and obtaining multi-dimensional working parameters of the nanometer water ion generating device to obtain a generating parameter set, wherein the multi-dimensional working parameters comprise Peltier working parameters and high-voltage working parameters, the Peltier working parameters comprise power parameters of Peltier condensation water collection in the moisture condensation module, and the high-voltage working parameters comprise power parameters of nanometer water ions generated by high-voltage electricity released by the high-voltage discharge module;
acquiring and obtaining multidimensional pollution parameters in a current target environment to obtain a pollution parameter set;
setting a purification verification standard according to the pollution degree in the pollution parameter set;
generating and purifying nano water ions according to the generation parameter set, and judging whether a purification result meets the purification verification standard;
if the purification result meets the purification verification standard, continuously purifying, and if the purification result does not meet the purification verification standard, optimizing the generation parameter set based on the purification verification standard;
generating and purifying nano water ions by adopting the optimized generation parameter set;
wherein, gather and acquire the multidimensional pollution parameter in the current target environment, include:
acquiring content parameters of the particles in the target environment to obtain first particle parameters;
acquiring and obtaining a microbial content parameter in the target environment;
acquiring particle size parameters of the particles in the target environment to obtain second particle parameters;
taking the first particulate parameter, the second particulate parameter and the microorganism content parameter as the pollution parameter set;
wherein, according to the pollution degree in the pollution parameter set, set up and purify the verification standard, include:
respectively carrying out weight distribution according to the influence capacity of the first particulate matter parameter, the second particulate matter parameter and the microorganism content parameter on the target environmental pollution degree to obtain a first weight distribution result;
obtaining a first decontamination time period;
obtaining a purification efficiency verification standard according to the first purification time period and the pollution parameter set;
obtaining a purification capacity check standard according to the pollution parameter set;
respectively carrying out weighted calculation adjustment on the purification efficiency verification standard and the purification capacity verification standard by adopting the first weight distribution result;
taking the adjusted purification efficiency verification standard and purification capacity verification standard as the purification verification standard;
wherein optimizing the set of occurrence parameters based on the decontamination verification criteria comprises:
setting a first optimization constraint condition according to the purification verification standard;
setting a second optimization constraint condition according to the multi-dimensional working parameters of the nano water ion generating device;
acquiring an ozone content standard in the target environment, and setting a third optimization constraint condition;
adjusting various generation parameter sets according to the working frequency requirement of the nanometer water ion generation device;
and constructing and obtaining a global optimization space according to the first optimization constraint condition, the second optimization constraint condition, the third optimization constraint condition and the adjusted multiple occurrence parameter sets, and optimizing the occurrence parameter sets based on the global optimization space.
2. The method of claim 1, wherein the assigning weights based on the ability of the first particulate parameter, the second particulate parameter, and the microbial content parameter to affect the target environmental pollution level comprises:
constructing and obtaining a weight distribution model according to the target environment, wherein the weight distribution model comprises a plurality of weight distribution channels with isolated information;
inputting the first particulate matter parameter, the second particulate matter parameter and the microorganism content parameter into the weight distribution model, and respectively carrying out weight distribution on a plurality of weight distribution channels to obtain a plurality of weight distribution results;
respectively calculating and obtaining a first weight value, a second weight value and a third weight value of the first particulate matter parameter, the second particulate matter parameter and the microorganism content parameter according to the weight distribution results;
and obtaining the first weight distribution result according to the first, second and third weight values.
3. The method of claim 1, wherein said optimizing said set of occurrence parameters based on said decontamination verification criteria comprises:
randomly generating a first generation parameter set in the global optimization space;
performing optimization iteration, and randomly generating a second generation parameter set in the global optimization space;
judging whether the second generation parameter set meets a preset condition, if so, taking the second generation parameter set as a current optimization result, and if not, cooperating the first generation parameter set as a current optimization result;
and performing iterative optimization for multiple times until the current optimization result meets a preset optimization condition to obtain an optimal generation parameter set.
4. The method according to claim 3, wherein the determining whether the second occurrence parameter set meets a preset condition comprises:
respectively acquiring a first purification result parameter and a second purification result parameter corresponding to the first generation parameter set and the second generation parameter set;
judging whether the second purification result parameter is superior to the first purification result parameter;
if the second purification result parameter is superior to the first purification result parameter, the second generation parameter set is used as the current optimization result, and if the second purification result parameter is not superior to the first purification result parameter, the second generation parameter set is used as the current optimization result according to a probability formula, wherein the probability formula is as follows:
Figure FDA0003946631680000041
wherein e is the natural logarithm, R 2 As a second cleaning result parameter, R 1 For the first cleaning result parameter, N is the optimization rate factor.
5. A generation parameter adjustment system of nano water ions, characterized in that the system comprises:
the device comprises a first obtaining unit, a second obtaining unit and a control unit, wherein the first obtaining unit is used for acquiring and obtaining multi-dimensional working parameters of the nano water ion generating device to obtain a generating parameter set, and the multi-dimensional working parameters comprise Peltier working parameters and high-voltage working parameters;
the second obtaining unit is used for acquiring and obtaining multi-dimensional pollution parameters in the current target environment to obtain a pollution parameter set;
the first processing unit is used for setting a purification verification standard according to the pollution degree in the pollution parameter set;
the first judgment unit is used for generating and purifying nano water ions according to the generation parameter set and judging whether the purification result meets the purification verification standard or not;
a second processing unit, configured to continue to perform the purging if the purging result satisfies the purging verification criterion, and perform optimization of the generation parameter set based on the purging verification criterion if the purging result does not satisfy the purging verification criterion;
the third processing unit is used for generating and purifying nano water ions by adopting the optimized generation parameter set;
wherein, gather and acquire the multidimensional pollution parameter in the current target environment, include:
acquiring content parameters of the particles in the target environment to obtain first particle parameters;
acquiring parameters of the content of microorganisms in the target environment;
acquiring particle size parameters of the particles in the target environment to obtain second particle parameters;
taking the first particulate matter parameter, the second particulate matter parameter and the microorganism content parameter as the set of contamination parameters;
wherein, according to the pollution degree in the pollution parameter set, set up and purify the verification standard, include:
respectively carrying out weight distribution according to the influence capacity of the first particulate matter parameter, the second particulate matter parameter and the microorganism content parameter on the target environmental pollution degree to obtain a first weight distribution result;
obtaining a first decontamination time period;
obtaining a purification efficiency verification standard according to the first purification time period and the pollution parameter set;
obtaining a purification capacity check standard according to the pollution parameter set;
respectively carrying out weighted calculation adjustment on the purification efficiency verification standard and the purification capacity verification standard by adopting the first weight distribution result;
taking the adjusted purification efficiency verification standard and purification capacity verification standard as the purification verification standard;
wherein based on the decontamination verification criteria, performing optimization of the set of generation parameters comprises:
setting a first optimization constraint condition according to the purification verification standard;
setting a second optimization constraint condition according to the multi-dimensional working parameters of the nano water ion generating device;
acquiring an ozone content standard in the target environment, and setting a third optimization constraint condition;
adjusting various generation parameter sets according to the working frequency requirement of the nanometer water ion generation device;
and constructing and obtaining a global optimization space according to the first optimization constraint condition, the second optimization constraint condition, the third optimization constraint condition and the adjusted multiple occurrence parameter sets, and optimizing the occurrence parameter sets based on the global optimization space.
6. A generation parameter adjusting system of nanometer water ions is characterized by comprising: a processor coupled to a memory, the memory storing a program that, when executed by the processor, causes a system to perform the method of any of claims 1 to 4.
7. A computer-readable storage medium, characterized in that a computer program is stored on the storage medium, which computer program, when being executed by a processor, carries out the method of any one of claims 1 to 4.
CN202210252539.0A 2022-03-15 2022-03-15 Generation parameter adjusting method and system for nano water ions Active CN114597766B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210252539.0A CN114597766B (en) 2022-03-15 2022-03-15 Generation parameter adjusting method and system for nano water ions

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210252539.0A CN114597766B (en) 2022-03-15 2022-03-15 Generation parameter adjusting method and system for nano water ions

Publications (2)

Publication Number Publication Date
CN114597766A CN114597766A (en) 2022-06-07
CN114597766B true CN114597766B (en) 2023-01-03

Family

ID=81816967

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210252539.0A Active CN114597766B (en) 2022-03-15 2022-03-15 Generation parameter adjusting method and system for nano water ions

Country Status (1)

Country Link
CN (1) CN114597766B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115564318A (en) * 2022-12-01 2023-01-03 北京梅凯尼克环保科技有限公司 Intelligent control method and system for automobile coating wastewater treatment

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1646698A (en) * 2002-04-05 2005-07-27 夏普株式会社 Method of estimating elimination of microorganisms and apparatus for estimating elimination of microorganisms
CN108302735A (en) * 2016-09-30 2018-07-20 日本电气株式会社 Device and method for controlling air cleaning system
CN110966731A (en) * 2018-09-28 2020-04-07 珠海格力电器股份有限公司 Method for regulating operating parameters
CN113465141A (en) * 2021-06-11 2021-10-01 珠海格力电器股份有限公司 Fresh air system control method and device, electronic equipment and storage medium
CN113847671A (en) * 2021-09-08 2021-12-28 深圳大湛科技有限公司 Automatic nanometer water ion air purifier who detects

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1646698A (en) * 2002-04-05 2005-07-27 夏普株式会社 Method of estimating elimination of microorganisms and apparatus for estimating elimination of microorganisms
CN108302735A (en) * 2016-09-30 2018-07-20 日本电气株式会社 Device and method for controlling air cleaning system
CN110966731A (en) * 2018-09-28 2020-04-07 珠海格力电器股份有限公司 Method for regulating operating parameters
CN113465141A (en) * 2021-06-11 2021-10-01 珠海格力电器股份有限公司 Fresh air system control method and device, electronic equipment and storage medium
CN113847671A (en) * 2021-09-08 2021-12-28 深圳大湛科技有限公司 Automatic nanometer water ion air purifier who detects

Also Published As

Publication number Publication date
CN114597766A (en) 2022-06-07

Similar Documents

Publication Publication Date Title
CN114597766B (en) Generation parameter adjusting method and system for nano water ions
CN109960886B (en) Air comfort evaluation method and device and air conditioning equipment
CN107519698A (en) A kind of information determines method and its device, air purifier, storage medium
CN106096226B (en) A kind of data assessment method, apparatus and server
CN104750992A (en) Method, device and system for simulating particle transport and calculating body dosage in radiotherapy
WO2020217630A1 (en) Air conditioning system
CN111179108A (en) Method and device for predicting power consumption
CN114322190A (en) Control method and control device of air purification system
CN107092650B (en) Weblog analysis method and device
CN111637607A (en) Method and system for improving air quality
CN112632862A (en) Method and device for determining wind field stability, electronic equipment and storage medium
CN109064353B (en) Large building user behavior analysis method based on improved cluster fusion
CN114511434B (en) Environment monitoring method and device, electronic equipment and storage medium
CN113469437B (en) Prediction method of house source transaction period and storage medium
CN109613179A (en) Accumulate the determination method of Spring layer
CN109960778B (en) Method and device for calculating theoretical power of wind power plant
CN114798179B (en) Control method and device of electrostatic precipitator
CN113868983B (en) Aerobic granular sludge treatment method and system based on CFD modeling simulation
CN117252489B (en) Ozone pollution source evaluation method, device, medium and electronic equipment
CN114062606B (en) Intelligent analysis method and system for air disinfection component inspection
KR20200123620A (en) System for estimating decay rate for agent of biological origin considering quantity of light, wetness and temperature and estimaing method for the same
CN116629524A (en) Material drop point site selection method and device based on entropy weight method and K-medoids algorithm
CN114662611B (en) Method and device for restoring particulate component data, electronic equipment and storage medium
CN113867233B (en) Control method and system for granular sludge treatment based on pilot-scale research
Guo Housing Price Forecasting based on Stochastic Time Series Model.

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant