Hydrogen machine based on electroencephalogram control and flow dynamic regulation and control method thereof
Through the dynamic flow regulation method of hydrogen machine based on EEG control, the output flow of hydrogen machine is determined by EEG signal analysis, which solves the problem that traditional hydrogen machine cannot dynamically adjust the output, and realizes personalized and real-time hydrogen output, improving the health management effect of hydrogen machine.
Patent Information
- Application Number
- CN202510447375.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-10
- Publication Date
- 2025-05-13
- Estimated Expiration
- 2045-04-10
AI Technical Summary
Traditional hydrogen machines cannot dynamically adjust the hydrogen output flow according to the actual physiological state of the user, resulting in insufficient personalization and real-time performance, limiting the effectiveness of hydrogen machines in health management.
The dynamic flow regulation method of hydrogen machine based on EEG control is used. By reading the ratio of β-wave and θ wave signal of the user's whole brain, combining the comparison of baseline values with training values, the target output flow of the hydrogen machine is determined, and the change of flow is judged based on the calculation results of β-wave magnification and θ wave magnification.
It realizes personalized dynamic adjustment of hydrogen output flow, and adjusts hydrogen output in real time according to the user's immediate physiological and psychological state, improving the comfort and effectiveness of the hydrogen machine.
Smart Images

Figure CN119971221A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of medical care, and in particular to a hydrogen machine based on electroencephalogram control and a method for dynamically regulating its flow rate. Background Art
[0002] The antioxidant properties of hydrogen are increasingly used in the field of healthcare, especially in improving human health. In recent years, as people's demand for health continues to grow, hydrogen generator equipment has gradually become a research hotspot. Traditional hydrogen generators mainly control the hydrogen output flow rate through manual adjustment or preset programs to meet the needs of different users. However, this control method lacks personalization and real-time performance, and cannot dynamically adjust the hydrogen output according to the user's actual physiological state, thus limiting the effectiveness of hydrogen generators in health management.
[0003] In order to solve the problem of regulating the output flow of hydrogen, the following methods are usually used: First, simple manual adjustment is performed through manual knobs or buttons, and users need to set the flow according to their own feelings; second, the flow change within a fixed time is realized by using a timer or preset mode; third, combined with basic physiological signal monitoring equipment, such as a heart rate monitor, the output flow is adjusted through a simple threshold judgment. In addition, some devices attempt to introduce sensor technology to indirectly affect the setting of hydrogen flow by detecting environmental parameters (such as temperature and humidity). Although these methods can meet basic needs to a certain extent, they have failed to achieve deep integration with the user's EEG activity. Summary of the invention
[0004] In order to achieve precise intervention in the hydrogen inhalation mode according to the user's brain electrical activity, the present application provides a hydrogen machine based on brain electrical control and a method for dynamic flow control thereof.
[0005] In the first aspect, the present application provides a method for dynamically controlling the flow of a hydrogen machine based on EEG control, which adopts the following technical solution: A method for dynamically controlling hydrogen machine flow based on brain electrical control comprises the following steps: S1. Read the ratio of the beta wave and theta wave signals of the whole brain of the user before using the hydrogen machine, and record the current data as the beta wave baseline value and theta wave baseline value; S2. The user starts the hydrogen generator and sets the actual output flow of the hydrogen generator to 50% of the maximum output flow of the hydrogen generator; S3. After 30 seconds, read the ratio of the user's beta wave and theta wave signals in the whole brain within 30 seconds, and record the average data as the beta wave training value and theta wave training value; S4. Determine the target output flow rate of the hydrogen generator based on the comparison between the β wave training value and the θ wave training value and the β wave baseline value and the θ wave baseline value. If the target output flow is the same as the actual output flow, repeat S3. If the target output flow is higher than the actual output flow, the actual output flow is modified according to the target output flow, the running time is reset, and S3 is repeated. If the target output flow is lower than the actual output flow, determine whether the running time exceeds 10 minutes. If the running time does not exceed 10 minutes, record an alarm and repeat S3. If the running time exceeds 10 minutes, read the number of alarms within 10 minutes. If the number of alerts does not exceed 4, repeat S3. If the number of alerts exceeds 4, the actual output flow is modified according to the target output flow, the running time is reset, and S3 is repeated.
[0006] By adopting the above technical solution, the ratio of the user's whole brain beta wave and theta wave signals before and after using the hydrogen machine is read, and the target output flow of the hydrogen machine is determined by comparing the baseline value with the training value. This method can not only adjust the output flow of the hydrogen machine in real time according to the user's physiological state, but also further optimize the flow adjustment strategy by judging the operating time and the number of warnings when the target output flow is lower than the actual output flow, thereby improving the comfort and effectiveness of the use of the hydrogen machine.
[0007] Optionally, determining the target output flow rate of the hydrogen generator according to the comparison between the β wave training value and the θ wave training value and the β wave baseline value and the θ wave baseline value in S4 includes: Calculate the beta wave rate and theta wave rate, β wave multiplier = β wave training value / β wave baseline value, Theta wave multiplier = theta wave training value / theta wave baseline value, When the β wave ratio is greater than 1.5 or the θ wave ratio is less than 0.8, the target output flow rate is judged to be reduced by one level. When the β wave ratio is not greater than 1.5 and the θ wave ratio is not less than 0.8, if the β wave ratio is less than 1.2 or when the θ wave ratio is greater than 0.95, the target output flow rate is judged to increase by one gear. When the above two conditions are not met, it is determined that the target output flow remains unchanged.
[0008] By adopting the above technical solution, the ratio of beta waves and theta waves is quantitatively analyzed, which realizes real-time monitoring of the user's brain state and dynamically adjusts the output flow of the hydrogen machine accordingly. When the user's brain is under high pressure or excited state, the hydrogen machine can automatically reduce the output flow to avoid excessive excitement of the user; when the user needs a higher concentration of hydrogen support, the hydrogen machine will increase the output flow to meet the demand.
[0009] Optionally, S3 further includes: Read the ratio of the user's frontal beta wave and theta wave signals within 30 seconds, and record the average data of the frontal beta wave / theta wave as the attention score; The proportion of the alpha wave signal in the user's occipital lobe within 30 seconds is read and recorded as the associative ability score.
[0010] By adopting the above technical solution, the user's attention score and associative ability score can be additionally obtained during the dynamic regulation of the hydrogen machine flow. First, by analyzing the ratio of frontal lobe beta wave and theta wave signals, the user's attention state is quantified to provide data support for subsequent personalized regulation; second, by detecting the ratio of occipital lobe alpha wave signals, the user's associative ability level is evaluated to further enrich the data dimension of EEG characteristics. These newly added scoring indicators help to achieve more accurate user status identification, thereby improving the pertinence and effectiveness of hydrogen machine output mode adjustment.
[0011] Optionally, S4 also includes determining an output mode of the hydrogen generator based on an attention score and an associative ability score, the output mode including a continuous output mode and an intermittent output mode, the continuous output mode continuously outputs hydrogen-rich gas, and the intermittent output mode intermittently outputs hydrogen-rich gas at intervals of 4 seconds.
[0012] By adopting the above technical solution, the attention score and association ability score calculated based on the EEG signals of the frontal lobe and occipital lobe can accurately reflect the user's current state. When the user is in a state that requires high concentration, the device switches to continuous output mode to provide a stable supply of hydrogen-rich gas; when the user is in a state of relaxation or association, the device switches to intermittent output mode to provide gas in a way that is more in line with the physiological rhythm. This intelligent mode switching not only improves the user experience, but also effectively saves resources and avoids unnecessary energy waste.
[0013] Optionally, determining the output mode of the hydrogen generator according to the attention score and the associative ability score in S4 includes: When the attention score is lower than 3.0, the output mode is judged to be continuous output mode; When the attention score is not less than 3.0 and the associative ability score is less than 25%, the output mode is judged to be the intermittent output mode.
[0014] By adopting the above technical solution, when the attention score is lower than 3.0, it is judged that the user is not focused enough, so it is set to continuous output mode to provide a stable supply of hydrogen-rich gas, which helps to maintain the user's needs. When the attention score is not lower than 3.0 and the associative ability score is lower than 25%, it is judged that the user is in a state of high concentration but low association, so it is set to intermittent output mode. By intermittently outputting hydrogen-rich gas, it can better match the user's physiological state and improve the user experience and effect.
[0015] In the second aspect, the present application provides a hydrogen generator based on brain wave control, which adopts the following technical solution: A hydrogen generator based on EEG control, comprising an EEG detection module, a data processing module and a hydrogen output module; The EEG detection module is used to capture the user's EEG; The hydrogen output module is used to output hydrogen-rich gas; The data processing module is signal-connected to the hydrogen output module and the EEG detection module at the same time. The data processing module stores program instructions. When the program instructions are executed by the data processing module, the above-mentioned dynamic control method of hydrogen machine flow based on EEG control is implemented.
[0016] By adopting the above technical solution and analyzing the EEG signals of the whole brain and specific areas, the device can accurately determine the user's physiological and psychological ability status, thereby automatically matching the most suitable hydrogen output method.
[0017] Optionally, the hydrogen output module includes a main output pipeline, which includes a main power supply and a main electrolyzer electrically connected to the main power supply, the main electrolyzer is provided with a main hydrogen output pipe and a main oxygen output pipe, the main hydrogen output pipe and the main oxygen output pipe are both provided with a main airflow control valve electrically connected to the data processing module, the main hydrogen output pipe is provided with a main hydrogen output port at the end along the gas flow direction, and the main oxygen output pipe is provided with a main oxygen output port at the end along the gas flow direction.
[0018] By adopting the above technical solution, the main power supply provides stable power support for the main output pipeline to ensure the normal operation of the main electrolyzer. The hydrogen and oxygen generated by the main electrolyzer through electrolysis of water are transported through the main hydrogen output pipe and the main oxygen output pipe respectively. The main air flow control valve accurately adjusts the flow of hydrogen and oxygen under the command of the data processing module, thereby realizing dynamic regulation. The design of the main hydrogen output port and the main oxygen output port ensures that the gas can be accurately output to meet the needs of users.
[0019] Optionally, the hydrogen output module also includes at least two auxiliary output pipelines, the auxiliary output pipeline includes an auxiliary power supply and an auxiliary electrolyzer electrically connected to the auxiliary power supply, the auxiliary electrolyzer is provided with an auxiliary hydrogen output pipe and an auxiliary oxygen output pipe, the auxiliary hydrogen output pipe and the auxiliary oxygen output pipe are both provided with auxiliary gas flow control valves electrically connected to the data processing module, the auxiliary hydrogen output pipe is provided with an auxiliary hydrogen output port at the end along the gas flow direction, the auxiliary oxygen output pipe is provided with an auxiliary oxygen output port at the end along the gas flow direction, the auxiliary hydrogen output pipe is connected to the main hydrogen output pipe through a hydrogen support pipe, the auxiliary oxygen output pipe is connected to the main oxygen output pipe through an oxygen support pipe, and three-way valves are provided at both ends of the hydrogen support pipe and the oxygen support pipe, respectively.
[0020] By adopting the above technical solution, at least two auxiliary output pipelines enable the hydrogen machine to have multi-channel gas output capabilities, which can effectively improve the output flexibility of the hydrogen machine. The auxiliary gas flow control valves arranged on the auxiliary hydrogen output pipe and the auxiliary oxygen output pipe are electrically connected to the data processing module, thereby realizing precise control of the gas flow of the auxiliary output pipeline. In addition, the hydrogen support pipe and the oxygen support pipe further enhance the output upper limit of the main output pipeline of the hydrogen machine. When the main output pipeline fails or requires maintenance, the auxiliary output pipeline can take over the gas output task to ensure the continuous and stable operation of the hydrogen machine. Or when a new user who is not familiar with hydrogen inhalation tries it, the auxiliary output pipeline can also take over the gas output task, so that hydrogen-rich gas can be output at a lower flow rate. This design not only improves the reliability of the hydrogen machine, but also provides technical support for multi-scenario applications.
[0021] In summary, the present application includes at least one of the following beneficial technical effects: 1. By reading the ratio of beta and theta wave signals in the user's whole brain and comparing the baseline value with the training value, it can accurately reflect the user's immediate physiological and psychological state, thereby realizing personalized dynamic regulation of hydrogen output flow; 2. The change of the target output flow rate is determined according to the calculation results of the β wave multiplier and the θ wave multiplier, ensuring that the flow adjustment logic is clear and has clear judgment criteria, thus improving the accuracy and real-time performance of the adjustment; 3. Introduce attention scores and associative ability scores to further refine the analysis of the user's EEG activity, and determine the output mode of the hydrogen generator accordingly, providing users with health intervention plans that are more in line with actual needs. BRIEF DESCRIPTION OF THE DRAWINGS
[0022] Figure 1 It is a flow chart of a method for dynamic regulation of hydrogen machine flow based on EEG control provided in an embodiment of the present application.
[0023] Figure 2 This is a simplified structural diagram of the hydrogen generator based on EEG control provided in an embodiment of the present application.
[0024] Description of reference numerals: 1- EEG detection module; 2- data processing module; 3- hydrogen output module; 301-main power supply; 302-main electrolyzer; 303-main air flow control valve; 304-main hydrogen output pipe; 305-main oxygen output pipe; 306-main hydrogen output port; 307-main oxygen output port; 308-auxiliary power supply; 309-auxiliary electrolyzer; 310-auxiliary hydrogen output pipe; 311-auxiliary oxygen output pipe; 312-three-way valve; 313-hydrogen support pipe; 314-oxygen support pipe; 315-auxiliary air flow control valve; 316-auxiliary hydrogen output port; 317-auxiliary oxygen output port. DETAILED DESCRIPTION
[0025] The following is combined with Figure 1-2 This application is described in further detail.
[0026] The embodiment of the present application discloses a method for dynamically controlling the flow of a hydrogen machine based on EEG control.
[0027] like Figure 1 As shown, the method for dynamic regulation of hydrogen machine flow based on EEG control includes the following steps: S1. Read the ratio of the beta wave and theta wave signals of the whole brain of the user before using the hydrogen machine, and record the current data as the beta wave baseline value and theta wave baseline value.
[0028] S2. The user starts the hydrogen generator and sets the actual output flow of the hydrogen generator to 50% of the maximum output flow of the hydrogen generator.
[0029] S3. After 30 seconds, read the ratio of the user's beta wave and theta wave signals in the whole brain within 30 seconds, and record the average data as the beta wave training value and theta wave training value; At the same time, the ratio of the user's frontal beta wave and theta wave signals within 30 seconds is read, and the average data of the frontal beta wave / theta wave is recorded as the attention score; The proportion of the alpha wave signal in the user's occipital lobe within 30 seconds is read and recorded as the associative ability score.
[0030] S4. Determine the output mode of the hydrogen machine based on the attention score and the associative ability score: When the attention score is lower than 3.0, the output mode is judged to be continuous output mode; When the attention score is not less than 3.0 and the associative ability score is less than 25%, the output mode is judged to be the intermittent output mode.
[0031] Determine the target output flow of the hydrogen generator based on the comparison between the β wave training value and the θ wave training value and the β wave baseline value and the θ wave baseline value: Calculate the beta wave rate and theta wave rate, β wave multiplier = β wave training value / β wave baseline value, Theta wave multiplier = theta wave training value / theta wave baseline value, When the β wave ratio is greater than 1.5 or the θ wave ratio is less than 0.8, the target output flow rate is judged to be reduced by one level. When the β wave ratio is not greater than 1.5 and the θ wave ratio is not less than 0.8, if the β wave ratio is less than 1.2 or when the θ wave ratio is greater than 0.95, the target output flow rate is judged to increase by one gear. When the above two conditions are not met, it is determined that the target output flow remains unchanged.
[0032] If the target output flow is the same as the actual output flow, repeat S3. If the target output flow is higher than the actual output flow, the actual output flow is modified according to the target output flow, the running time is reset, and S3 is repeated. If the target output flow is lower than the actual output flow, determine whether the running time exceeds 10 minutes. If the running time does not exceed 10 minutes, record an alarm and repeat S3. If the running time exceeds 10 minutes, read the number of alarms within 10 minutes. If the number of alerts does not exceed 4, repeat S3. If the number of alerts exceeds 4, the actual output flow is modified according to the target output flow, the running time is reset, and S3 is repeated.
[0033] The implementation principle of a hydrogen generator based on EEG control and a method for dynamically regulating flow rate thereof in the embodiment of the present application is as follows: By real-time monitoring of the user's brain wave signals, analyzing the user's attention level and associative ability, the output flow and mode of the hydrogen generator are dynamically adjusted. When the user's attention is low (the average data of the frontal lobe beta wave / theta wave can be used as an attention score to evaluate the user's attention, where the beta wave frequency is 14-30Hz, representing thinking activities, busyness and tension, and the theta wave frequency is 4-7Hz, representing sleepiness, deep relaxation and subconsciousness. When the user's attention decreases, the proportion of beta waves decreases and the proportion of theta waves increases, so the attention score decreases), the continuous output mode is used to ensure the continuous supply of hydrogen; when the user's attention is high and the associative ability is strong (the proportion of the occipital alpha wave signal can be used as an associative ability score, and is comprehensively evaluated with the attention score to evaluate the user's associative ability. When the visual focus is on performing tasks, the proportion of the occipital alpha wave signal may decrease, that is, the "alpha inhibition" phenomenon, and the proportion of beta waves increases instead, and the user's associative ability decreases at this time), the intermittent output mode is used to save hydrogen and energy. At the same time, according to the changes in the beta wave and theta wave, the target output flow of the hydrogen generator is intelligently adjusted to ensure that the supply of hydrogen matches the user's brain wave state. In addition, by setting parameters such as the number of alerts and the operating time, the safety and stability of the use of the hydrogen generator are further improved. This method not only improves the efficiency of the hydrogen generator, but also improves the user experience. It is an innovative and practical method for dynamic regulation of the hydrogen generator flow.
[0034] The embodiment of the present application also discloses a hydrogen machine based on EEG control.
[0035] like Figure 2 As shown, the hydrogen generator based on EEG control includes an EEG detection module 1, a data processing module 2 and a hydrogen output module 3; The EEG detection module 1 is used to capture the user's EEG; The hydrogen output module 3 is used to output hydrogen-rich gas; The data processing module 2 is signal-connected to the hydrogen output module 3 and the EEG detection module 1 at the same time. The data processing module 2 stores program instructions. When the program instructions are executed by the data processing module 2, the above-mentioned dynamic control method of hydrogen machine flow based on EEG control is implemented.
[0036] By analyzing EEG signals of the entire brain and specific areas, the device can accurately determine the user's physiological and psychological ability status, and automatically match the most suitable hydrogen output method.
[0037] Among them, the hydrogen output module 3 includes a main output pipeline, which includes a main power supply 301 and a main electrolyzer 302 electrically connected to the main power supply 301. The main electrolyzer 302 is provided with a main hydrogen output pipe 304 and a main oxygen output pipe 305. The main hydrogen output pipe 304 and the main oxygen output pipe 305 are both provided with a main airflow control valve 303 electrically connected to the data processing module 2. The main hydrogen output pipe 304 is provided with a main hydrogen output port 306 at the end along the gas flow direction, and the main oxygen output pipe 305 is provided with a main oxygen output port 307 at the end along the gas flow direction.
[0038] The main power supply 301 provides stable power support for the main output pipeline to ensure the normal operation of the main electrolyzer 302. The hydrogen and oxygen generated by the electrolysis of water in the main electrolyzer 302 are respectively transported through the main hydrogen output pipe 304 and the main oxygen output pipe 305. The main air flow control valve 303 accurately adjusts the flow of hydrogen and oxygen under the instruction of the data processing module 2, thereby realizing dynamic regulation. The design of the main hydrogen output port 306 and the main oxygen output port 307 ensures that the gas can be accurately output to meet the needs of users.
[0039] In order to increase the output upper limit of the main output pipeline, the hydrogen output module 3 also includes at least two auxiliary output pipelines, the auxiliary output pipeline includes an auxiliary power supply 308, an auxiliary electrolyzer 309 electrically connected to the auxiliary power supply 308, the auxiliary electrolyzer 309 is provided with an auxiliary hydrogen output pipe 310 and an auxiliary oxygen output pipe 311, the auxiliary hydrogen output pipe 310 and the auxiliary oxygen output pipe 311 are both provided with auxiliary gas flow control valves 315 electrically connected to the data processing module 2, the auxiliary hydrogen output pipe 310 is provided with an auxiliary hydrogen output port 316 at the end along the gas flow direction, the auxiliary oxygen output pipe 311 is provided with an auxiliary oxygen output port 317 at the end along the gas flow direction, the auxiliary hydrogen output pipe 310 is connected to the main hydrogen output pipe 304 through a hydrogen support pipe 313, the auxiliary oxygen output pipe 311 is connected to the main oxygen output pipe 305 through an oxygen support pipe 314, and three-way valves 312 are provided at both ends of the hydrogen support pipe 313 and the oxygen support pipe 314.
[0040] At least two auxiliary output pipelines enable the hydrogen machine to have multi-channel gas output capabilities, which can effectively improve the output flexibility of the hydrogen machine. The auxiliary gas flow control valve 315 provided on the auxiliary hydrogen output pipe 310 and the auxiliary oxygen output pipe 311 is electrically connected to the data processing module 2, thereby realizing precise control of the gas flow of the auxiliary output pipeline. In addition, the hydrogen support pipe 313 and the oxygen support pipe 314 further enhance the output upper limit of the main output pipeline of the hydrogen machine. When the main output pipeline fails or requires maintenance, the auxiliary output pipeline can take over the gas output task to ensure the continuous and stable operation of the hydrogen machine. Or when a new user who is not familiar with hydrogen inhalation tries it, the auxiliary output pipeline can also take over the gas output task, so that hydrogen-rich gas can be output at a lower flow rate. This design not only improves the reliability of the hydrogen machine, but also provides technical support for multi-scenario applications.
[0041] The implementation principle of the EEG-controlled hydrogen generator in the present application embodiment is as follows: in the design of the three-way valve 312, it has three connection ports, which are respectively used to connect different pipelines to achieve gas diversion or confluence. In the hydrogen output module 3, the three-way valve 312 is applied to both ends of the hydrogen support pipe 313 and the oxygen support pipe 314 to achieve gas allocation between the main output pipeline and the auxiliary output pipeline.
[0042] When the main output pipeline operates normally and can meet the user's hydrogen demand, the three-way valve 312 will be in a disconnected state, and the auxiliary output pipeline is in a standby state and does not participate in the output of the gas. The hydrogen and oxygen generated by the main electrolyzer 302 are transported through the main hydrogen output pipe 304 and the main oxygen output pipe 305 respectively, and the main gas flow control valve 303 adjusts the gas flow according to the instructions of the data processing module 2 to ensure a stable supply of hydrogen.
[0043] When the main output pipeline fails, or the output flow of hydrogen needs to be increased to meet the special needs of the user, the three-way valve 312 will switch to the connected state. At this time, the auxiliary output pipeline will take over or assist the gas output task. The hydrogen and oxygen generated by the auxiliary electrolyzer 309 are transported through the auxiliary hydrogen output pipe 310 and the auxiliary oxygen output pipe 311, respectively, and are connected to the main output pipeline through the hydrogen support pipe 313 and the oxygen support pipe 314. The auxiliary gas flow control valve 315 also adjusts the gas flow according to the instructions of the data processing module 2 to ensure a stable supply of gas and precise control of the flow.
[0044] The on-off state of the three-way valve 312 is intelligently controlled by the data processing module 2 according to the operating state of the main output pipeline and the needs of the user. When a fault is detected in the main output pipeline or the output flow needs to be increased, the data processing module 2 will send an instruction to the three-way valve 312 to switch it to the connected state, thereby starting the auxiliary output pipeline to output gas. Conversely, when the main output pipeline resumes normal operation or the user's needs decrease, the data processing module 2 will send an instruction to the three-way valve 312 to switch it to the disconnected state, thereby closing the auxiliary output pipeline, saving energy and reducing maintenance costs.
[0045] This gas transmission form design based on the three-way valve 312 not only improves the output flexibility and reliability of the hydrogen generator, but also provides technical support for multi-scenario applications. Whether it is when the main output pipeline fails and the backup pipeline needs to be taken over, or when the hydrogen output flow needs to be increased to meet special needs, the three-way valve 312 can respond quickly and switch to the appropriate state to ensure the continuous and stable operation of the hydrogen generator.
[0046] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.
Claims
1. A method for dynamic control of hydrogen machine flow based on EEG control, characterized in that: The following steps are involved: S1. Read the ratio of the beta wave and theta wave signals of the whole brain of the user before using the hydrogen machine, and record the current data as the beta wave baseline value and theta wave baseline value; S2. The user starts the hydrogen generator and sets the actual output flow of the hydrogen generator to 50% of the maximum output flow of the hydrogen generator; S3. After 30 seconds, read the ratio of the user's beta wave and theta wave signals in the whole brain within 30 seconds, and record the average data as the beta wave training value and theta wave training value; S4. Determine the target output flow rate of the hydrogen generator based on the comparison between the β wave training value and the θ wave training value and the β wave baseline value and the θ wave baseline value. If the target output flow is the same as the actual output flow, repeat S3. If the target output flow is higher than the actual output flow, the actual output flow is modified according to the target output flow, the running time is reset, and S3 is repeated. If the target output flow is lower than the actual output flow, determine whether the running time exceeds 10 minutes. If the running time does not exceed 10 minutes, record an alarm and repeat S3. If the running time exceeds 10 minutes, read the number of alarms within 10 minutes. If the number of alerts does not exceed 4, repeat S3. If the number of alerts exceeds 4, the actual output flow is modified according to the target output flow, the running time is reset, and S3 is repeated.
2. The method for dynamic control of hydrogen machine flow based on EEG control according to claim 1 is characterized in that: Determining the target output flow rate of the hydrogen generator according to the comparison between the β wave training value and the θ wave training value and the β wave baseline value and the θ wave baseline value in S4 includes: Calculate the beta wave rate and theta wave rate, β wave multiplier = β wave training value / β wave baseline value, Theta wave multiplier = theta wave training value / theta wave baseline value, When the β wave ratio is greater than 1.5 or the θ wave ratio is less than 0.8, the target output flow rate is judged to be reduced by one level. When the β wave ratio is not greater than 1.5 and the θ wave ratio is not less than 0.8, if the β wave ratio is less than 1.2 or when the θ wave ratio is greater than 0.95, the target output flow rate is judged to increase by one gear. When the above two conditions are not met, it is determined that the target output flow remains unchanged.
3. The method for dynamic control of hydrogen machine flow based on EEG control according to claim 1 is characterized in that: The S3 further includes: Read the ratio of the user's frontal beta wave and theta wave signals within 30 seconds, and record the average data of the frontal beta wave / theta wave as the attention score; The proportion of the alpha wave signal in the user's occipital lobe within 30 seconds is read and recorded as the associative ability score.
4. The method for dynamic control of hydrogen machine flow based on EEG control according to claim 3 is characterized in that: The S4 also includes determining an output mode of the hydrogen generator according to the attention score and the associative ability score, wherein the output mode includes a continuous output mode and an intermittent output mode. The continuous output mode continuously outputs hydrogen-rich gas, and the intermittent output mode intermittently outputs hydrogen-rich gas at intervals of 4 seconds.
5. The method for dynamic control of hydrogen machine flow based on EEG control according to claim 4 is characterized in that: Determining the output mode of the hydrogen generator according to the attention score and the associative ability score in S4 includes: When the attention score is lower than 3.0, the output mode is judged to be continuous output mode; When the attention score is not less than 3.0 and the associative ability score is less than 25%, the output mode is judged to be the intermittent output mode.
6. A hydrogen generator based on brain wave control, characterized in that: include: An electroencephalogram detection module (1), a data processing module (2) and a hydrogen output module (3); The EEG detection module (1) is used to capture the user's EEG; The hydrogen output module (3) is used to output hydrogen-rich gas; The data processing module (2) is simultaneously connected to the hydrogen output module (3) and the EEG detection module (1) by signal, and the data processing module (2) stores program instructions, and when the program instructions are executed by the data processing module (2), the method for dynamic control of hydrogen machine flow based on EEG control as described in any one of claims 1 to 5 is implemented.
7. The hydrogen generator based on brain electrical control according to claim 6 is characterized in that: The hydrogen output module (3) comprises a main output pipeline, the main output pipeline comprises a main power supply (301), a main electrolyzer (302) electrically connected to the main power supply (301), the main electrolyzer (302) is provided with a main hydrogen output pipe (304) and a main oxygen output pipe (305), the main hydrogen output pipe (304) and the main oxygen output pipe (305) are both provided with a main gas flow control valve (303) electrically connected to the data processing module (2), the main hydrogen output pipe (304) is provided with a main hydrogen output port (306) at the end thereof along the gas flow direction, and the main oxygen output pipe (305) is provided with a main oxygen output port (307) at the end thereof along the gas flow direction.
8. The hydrogen generator based on brain electrical control according to claim 7 is characterized in that: The hydrogen output module (3) further comprises at least two auxiliary output pipelines, wherein the auxiliary output pipelines comprise an auxiliary power source (308), an auxiliary electrolyzer (309) electrically connected to the auxiliary power source (308), the auxiliary electrolyzer (309) being provided with an auxiliary hydrogen output pipe (310) and an auxiliary oxygen output pipe (311), the auxiliary hydrogen output pipe (310) and the auxiliary oxygen output pipe (311) being provided with an auxiliary gas flow control valve (315) electrically connected to the data processing module (2), the auxiliary hydrogen output pipe (310) being provided with an auxiliary gas flow control valve (315) electrically connected to the data processing module (2), and the auxiliary hydrogen output pipe (310) being provided with an auxiliary gas flow control valve (315) electrically connected to the data processing module (2). The auxiliary hydrogen output pipe (310) is provided with an auxiliary hydrogen output port (316) at the end along the gas flow direction, and the auxiliary oxygen output pipe (311) is provided with an auxiliary oxygen output port (317) at the end along the gas flow direction. The auxiliary hydrogen output pipe (310) is connected to the main hydrogen output pipe (304) through a hydrogen support pipe (313), and the auxiliary oxygen output pipe (311) is connected to the main oxygen output pipe (305) through an oxygen support pipe (314). Three-way valves (312) are respectively provided at both ends of the hydrogen support pipe (313) and the oxygen support pipe (314).
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