CN-115786976-B - Method for monitoring liquid-gas conversion by nano-manufacturing artificial intelligence flow

CN115786976BCN 115786976 BCN115786976 BCN 115786976BCN-115786976-B

Abstract

The invention discloses a method for monitoring liquid-gas conversion by nano-manufacturing artificial intelligence flow, wherein a cathode electronic exchanger and an anode electronic exchanger in a liquid-gas converter are vertically arranged, and the converter is divided into a cathode gas chamber, a liquid flow controller in the liquid conversion chamber and an anode gas chamber from left to right. The electron exchanger faces the intermediate liquid-state conversion chamber and is in direct contact with the liquid flow controller, the other side of the electron exchanger faces the open air chamber, and the liquid-state conversion substance is converted into gas by applying voltage to the anode electron exchanger and the cathode electron exchanger. The liquid flow controller has many puncture channels on its surface, the size of the puncture channels is designed by critical plane and surface adsorption force calculation method, and the puncture channels have designed patterns and are manufactured by precise process. The converter is provided with an intelligent microprocessor and a plurality of sensors, a liquid conversion substance flow guide valve is arranged at the top of the liquid flow controller, in the control of the intelligent microprocessor, liquid conversion substance is guided to flow from the liquid storage device to the liquid flow controller, the microprocessor is responsible for learning and calculating the liquid flow guide valve and the artificial intelligent machine, and the liquid conversion substance is also transmitted to a cloud computing server for computing through a network.

Inventors

WU XUEBIN
WU XUECONG

Assignees

伍学斌
伍学聪

Dates

Publication Date: 20260505
Application Date: 20221206
Priority Date: 20221109

Claims (9)

1. A method for monitoring liquid-gas conversion by nano-manufacturing artificial intelligence flow is characterized in that, The anode electronic exchanger and the cathode electronic exchanger in the liquid-gas converter are vertically arranged, the liquid-gas converter is separated, The device comprises a cathode gas chamber, a liquid flow controller in a liquid conversion chamber and an anode gas chamber from left to right, wherein the liquid conversion chamber is used for placing liquid conversion substances; The electronic exchanger is faced with the intermediate liquid conversion chamber, and the surface of the electronic exchanger is coated with non-conductive polymer material and is directly contacted with the liquid flow controller, The other side of the electronic exchanger faces the open air chamber, the surface is conductive, the surface of the electronic exchanger is covered with a plurality of puncture channels, By applying a voltage to the anode electron exchanger and the cathode electron exchanger, electrons are released on the side facing the open gas chamber, and the liquid-state conversion substance is converted into gas, which is released to the cathode gas chamber and the anode gas chamber; The liquid conversion substance is added with a solvent to ionize molecules of the liquid conversion substance, the working temperature of the liquid-gas converter is suitable for room temperature, the air pressure is at normal sea level atmospheric pressure, the working temperature and the air pressure of the liquid-gas converter are adjusted according to the output rate of gas production, and the conversion rate of the liquid-gas converter is improved; the method comprises the steps of collecting humidity, temperature, air pressure, gas output flow and gas production output rate in a liquid-gas converter by arranging a microprocessor and a plurality of sensors in the liquid-gas converter; The microprocessor can control the valve of the liquid conversion material flow guide to control the liquid content in the liquid flow controller according to the working temperature, the working air pressure, the gas output flow and the preset value of the gas production output rate by adopting the microprocessor, and the working air pressure and the working temperature in the liquid-gas converter are regulated, so that the conversion efficiency of the conversion liquid converter is improved; The flow guide is provided with an intelligent microprocessor and a plurality of sensors, is responsible for the artificial intelligent machine learning calculation of the liquid flow, and also transmits the liquid flow to the cloud computing server for calculation through a network, a liquid conversion matter flow guide valve is arranged at the top of the liquid flow controller, the microprocessor controls the liquid conversion matter flow guide valve through signals to determine whether to open or close the liquid conversion matter flow guide valve, and the liquid conversion matter liquid continuously or stops flowing from the liquid storage device to the liquid flow controller; The method for controlling the valve of the liquid conversion material flow guide by the microprocessor is adopted, and the conversion rate of the conversion liquid converter is improved by adjusting the working air pressure or the working temperature of the cathode gas chamber, the liquid conversion chamber or the anode gas chamber.
2. The method for monitoring liquid-gas conversion by nano-fabrication artificial intelligence flow according to claim 1, wherein, In the liquid conversion chamber, a liquid flow controller is arranged, the flow controller is formed by stacking a plurality of non-conductive body flow control singlechips, a plurality of puncture channels are arranged on the surface of the flow control singlechips, the size of the puncture channels is designed by using a critical surface and surface adsorption force calculation method, the puncture channels are provided with patterns, The puncture open vacancy of each puncture channel is provided with Y-shaped, X-shaped and star-shaped patterns, and the patterns are used for enhancing the capability of adhering liquid-state converter molecules to the surface of the flow controller; when the flow control monoliths are stacked together, the puncture channels on adjacent flow control monoliths remain misaligned with respect to each other, In other words, the puncture channels on adjacent flow control monoliths are located at different locations from each other, separated, creating a pattern of interlocks that enhance the ability of liquid analyte molecules to adhere to the flow controller.
3. The method for monitoring liquid-gas conversion by nano-fabrication artificial intelligence flow according to claim 2, wherein, The flow control monolithic is non-conductive, has a plurality of puncture channels on the surface, is processed by chemical etching, plasma etching, laser drilling or electroforming process, The flow control monolith is fabricated by coating a non-conductive polymeric material on the surface of the conductive material after the piercing passageways are formed by the process described above, starting with the conductive material, and rendering the flow control monolith non-conductive.
4. The method for monitoring liquid-gas conversion by nano-fabrication artificial intelligence flow according to claim 2, wherein, The design of various physical parameters, the design of flow control singlechips and the design of puncture channels on the flow control singlechips are designed by a critical surface and surface adsorption force calculation method, which is the key for controlling the capability of the liquid conversion substance to adhere to the flow controller and enables the liquid conversion substance to form a film above the critical surface; the thickness of the flow control singlechips, the interval between the flow control singlechips, the puncture channel on the flow control singlechips, the separation distance between the channels, the size of the puncture channel and the separation distance between the channels are adjusted according to actual needs, When the liquid conversion substance stays on the surface of the flow controller as liquid drops, the liquid drops are placed on the surface of the critical surface and are in an unbalanced state; Thus, the droplet spreads until a partially wetted equilibrium contact radius is reached, taking into account the effects of capillary, gravitational and viscous contributions.
5. The method for monitoring liquid-gas conversion by nano-fabrication artificial intelligence flow according to claim 4, wherein, The radius r of the liquid drop is: ; the height of the liquid drop is as follows: ; sigma is the surface adsorption force of the surface, G is the constant of the acceleration of gravity, Θ is the contact angle of the liquid with the surface, H is the height of the droplet and, V is a time function of the volume of the droplet; The change in radius r (t) of a droplet over time can be expressed as: ; Assuming perfect adhesion of the liquid convertant molecules: ; Gamma is the liquid-air surface adsorption coefficient; γlg is the surface adsorption of the liquid; η is the viscosity of the liquid; ρ is the density of the liquid; Lambda is the form factor, 37.1 m-1; t0 is the experimental delay time; re is the radius at which the droplet equilibrates; Calculating a radius of the droplet assuming a delay time of 0.1 to 2 seconds, a puncture channel on the flow control monolith, the channel separated from the channel by a distance of between 100% and 200% of the radius of the droplet; the radius of the puncture channel should be set to be not more than r; The size of the puncture channel is used for adjusting according to the working temperature, the air pressure and the required gas output rate in the liquid-gas converter; the size of the perforation lanes may vary and may be smaller or larger on the same flow control monolith, depending on whether they are located closer or farther from the source of liquid conversion substance.
6. The method for nano-fabrication artificial intelligence flow monitoring liquid-gas conversion according to claim 5, wherein, The thickness of the flow control monoliths, the spacing between adjacent stacked flow control monoliths, is calculated by: the height d of the liquid column is ; The thickness of the flow control monolith should be no greater than d; the thickness of the flow control single chip is adjusted according to the working temperature and the air pressure of the liquid-air converter and the required gas production output rate; The liquid flow controller is formed by stacking a plurality of flow control singlechips, and the distance between the adjacent stacked flow control singlechips is not more than 50% to 100% of d; The spacing between the flow control monoliths is adjusted according to the operating temperature, air pressure of the liquid-air converter, and the desired gas production output rate.
7. The method for monitoring liquid-gas conversion by nano-fabrication artificial intelligence flow according to claim 6, wherein, The microprocessor is signally connected to four humidity sensors or more; Each sensor is provided with a pair of resistance probes for sensing the liquid conversion substance content of different positions in the liquid-gas converter, and the probes are made of anti-corrosion and anti-oxidation conductive materials or coated with high-conductivity anti-corrosion and anti-oxidation materials; The first humidity sensor is arranged at the top of the liquid flow controller, the second humidity sensor is arranged at the middle of the liquid flow controller, the liquid conversion substance content at the top and the middle is detected, When the microprocessor senses that the liquid is dry at these locations, the microprocessor lacks a predetermined amount of liquid transfer medium, and opens the liquid transfer medium flow director valve to allow liquid transfer medium to flow from the reservoir to the liquid flow controller; Third and fourth humidity sensors placed at the bottom of the cathode gas chamber and at the bottom of the anode gas chamber, if the microprocessor senses that there is some conversion fluid at these locations, meaning that there is too much conversion fluid entering the flow controller, and the electronic exchanger cannot keep up with converting the fluid to gas, it will close the liquid conversion fluid flow director valve, slowing down the flow of liquid conversion fluid; When more humidity sensors are processed using the method described above; the microprocessor is connected with a plurality of temperature sensors and air pressure sensors, the sensors are arranged in or beside a cathode gas chamber, a liquid conversion chamber and an anode gas chamber of the liquid-gas converter, the microprocessor is connected with two gas output flow sensors, and the flow sensors are arranged at gas outlets of the cathode gas chamber and the anode gas chamber; The microprocessor adjusts the working air pressure or the working temperature of the cathode gas chamber, the liquid conversion chamber and the anode gas chamber by adopting a machine learning method similar to a microprocessor for controlling a liquid conversion substance flow guide valve according to the requirements of the working temperature, the working air pressure, the gas output flow and the gas production output rate; the conversion of the liquid to gas converter increases due to the intelligent microprocessor control of these flow controllers.
8. The method for monitoring liquid-gas conversion by nano-fabrication artificial intelligence flow according to claim 1, wherein, The machine learning algorithm is described as learning the target prediction function F, The input variable X is mapped to the output variable Y, The formula is given as input X, Predicting an output Y; Y = F(X) wherein y=c+m1 x X1 +m2 x X2 +m3 x X3 + & gt Mn x Xn Let Prediction function F Accepted accurate decision parameter = Y Sensor 1 data = X1 Sensor 2 data = X2 ... Sensor ndata=xn Sensor 1..n, humidity sensor, temperature sensor, barometric pressure sensor, gas output flow sensor; When the temperature and the air pressure are within a certain range, xn is set to be 1, otherwise, xn is set to be 0; And when the decision parameter Y is greater than a specific value, the control instruction is to open the valve of the liquid conversion material flow director, or else, close the valve of the liquid conversion material flow director, and control the flow of the liquid conversion material to the liquid flow controller.
9. The method for monitoring liquid-gas conversion by nano-fabrication artificial intelligence flow according to claim 1, wherein, The liquid conversion substance is liquid water; The plurality of liquid-gas converters are vertically stacked or horizontally stacked.

Description

Method for monitoring liquid-gas conversion by nano-manufacturing artificial intelligence flow Technical Field A method for monitoring liquid-gas conversion by nano-manufacturing artificial intelligence flow. Background The liquid-gas converter applies a voltage to the liquid-state converting substance through two conductive materials to produce a gaseous product. The two conductive materials are immersed in the liquid converter as an anode electron exchanger and a cathode electron exchanger, and the conductive materials are not in controlled contact with molecules or ions of the liquid converter, and at the position facing and contacting the liquid converter, electrons are released or collected to generate final gas, and the gas is used as bubbles, and is lifted from the liquid converter and released to a gas chamber. The result is an input of liquid converter, an application of voltage, and then gas generation, collection from the two chambers, respectively. However, the electrical energy efficiency used is not high when the same amount of final gas is produced, and therefore monitoring of the liquid-gas conversion is required. Disclosure of Invention The invention discloses a method for monitoring liquid-gas conversion by flow of artificial intelligence in nano manufacturing. The anode electronic exchanger and the cathode electronic exchanger in the liquid-gas converter are vertically arranged, and the converter is divided into a cathode gas chamber, a liquid flow controller in the liquid-state conversion chamber and an anode gas chamber from left to right. The surface of the electronic exchanger is faced to the middle liquid conversion chamber, the surface of the surface is coated with non-conductive polymer material and is directly contacted with the liquid flow controller, the other side of the electronic exchanger faces to the open air chamber, the surface is conductive, the surface of the electronic exchanger is covered with a plurality of puncture channels, voltage is applied to the anode electronic exchanger and the cathode electronic exchanger, and on the surface facing to the open air chamber, electrons are released, liquid conversion matter is converted into gas and released to the cathode gas chamber and the anode gas chamber. On top of the liquid flow controller, a liquid converter flow director valve is placed to control the flow of liquid converter from the reservoir to the liquid flow controller. The liquid converter adds a solvent to ionize molecules of the liquid converter. The working temperature of the converter is close to normal room temperature, the air pressure is at normal sea level atmospheric pressure, the working temperature and the air pressure of the converter can be adjusted according to the output rate of gas production, and the conversion rate of the converter is improved. The liquid flow controller is formed by stacking a plurality of non-conductive body flow control singlechips, the number of the flow control singlechips ranges from 2 to 10000 or more, a plurality of puncture channels are arranged on the surface of the flow control singlechips, the size of the puncture channels is designed by a critical surface and surface adsorption force calculation method, the puncture channels are provided with designed patterns, and puncture open vacancies of each puncture channel are provided with Y-shaped, X-shaped and star-shaped patterns which are specially designed, and the patterns can enhance the capability of adhering liquid conversion substance molecules on the surface of the flow controller; When the flow control monoliths are stacked together, the piercing passageways on adjacent flow control monoliths remain misaligned with respect to one another, in other words, the piercing passageways from adjacent flow control monoliths are located at different locations from one another and are separated from one another, which form an interlocking pattern that enhances the ability of liquid analyte molecules to adhere to the flow controller. The flow control monolith is non-conductive and has a plurality of piercing channels formed on a surface thereof by precision processes, chemical etching, plasma etching, laser drilling or electroforming processes, and a plurality of small piercing channels are formed to cover the flow control monolith. The fabrication of the flow control monolith may begin with a conductive material or a non-conductive material. The first option is chemical etching, which may be a relatively low cost process for forming the desired flow control monolith, which may be applied to a piece of conductive material that is desired, with the chemical etching away specific points of the material to form the flow controller's puncture channel. The non-conductive polymeric material may also be etched onto the non-conductive polymeric material with a plasma that etches away specific points of the material to form the puncture channel on the flow control monolith. The seco