Optimization method and system of self-adaptive hydrogen production equipment

Abstract

The invention provides an optimization method and system for self-adaptive hydrogen production equipment, and the method comprises the steps: obtaining the current hydrogen production data and current hydrogen production parameters of the hydrogen production equipment, and the water source sensing information of a current water source, and recognizing the current hydrogen production effect of the hydrogen production equipment; when the hydrogen production effect does not meet the preset hydrogen production effect, the water source water quality and the water source hydrogen production state of the current water source are recognized through a water source recognition network based on the water source sensing information, and therefore influence factor data of hydrogen production influence factors corresponding to the current water source are recognized; generating applicable hydrogen production information of the current water source through a hydrogen production map, and adjusting current hydrogen production parameters of the hydrogen production equipment to obtain target hydrogen production parameters of the hydrogen production equipment; and controlling the hydrogen production equipment to execute a hydrogen production task on the current water source, and returning to execute the steps. By adopting the scheme, the regulation efficiency of hydrogen production stability can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of optimization of hydrogen production equipment, and in particular to an optimization method and system for adaptive hydrogen production equipment. Background Art

[0002] With the continuous development of hydrogen production technology and the continuous expansion of application scenarios, mobile and portable hydrogen production equipment such as vehicle-mounted hydrogen production equipment and ship-mounted hydrogen production equipment have gradually entered the market, which not only provides diversified solutions for hydrogen production, but also significantly increases the popularity of hydrogen use. However, due to differences in environmental governance and geographical location in different regions, there are also certain differences in water quality and water environment, which will affect the hydrogen production efficiency and concentration of portable hydrogen production equipment. Therefore, how to improve the stability of hydrogen production under different water source conditions is the current research focus.

[0003] The traditional method of regulating the stability of hydrogen production is to detect the current hydrogen production status in real time and then manually adjust the hydrogen production power data to ensure the stability of hydrogen production. However, manual adjustment is slow and prone to adjustment errors, resulting in low efficiency in regulating the stability of hydrogen production. Summary of the invention

[0004] The main purpose of the present invention is to provide an optimization method and system for adaptive hydrogen production equipment, aiming to solve the problem in the prior art that manual adjustment is slow and prone to adjustment errors, resulting in low adjustment efficiency of hydrogen production stability.

[0005] To achieve the above object, the present invention provides an optimization method for an adaptive hydrogen production equipment, the method comprising:

[0006] Acquire current hydrogen production data of the hydrogen production equipment, current hydrogen production parameters of the hydrogen production equipment, and water source sensor information of the current water source collected by each sensor, and identify the current hydrogen production effect of the hydrogen production equipment through a hydrogen production evaluation strategy based on the current hydrogen production data;

[0007] When the hydrogen production effect does not meet the preset hydrogen production effect, based on the water source sensor information, the water source quality of the current water source and the water source hydrogen production state of the current water source are identified through the water source identification network, and based on the water source water quality and the water source hydrogen production state, the influencing factor data of each hydrogen production influencing factor corresponding to the current water source are identified;

[0008] Based on the influencing factor data of each of the hydrogen production influencing factors, the applicable hydrogen production information of the current water source is generated through a hydrogen production map, and based on the applicable hydrogen production information, the current hydrogen production parameters of the hydrogen production equipment are adjusted to obtain the target hydrogen production parameters of the hydrogen production equipment;

[0009] Based on the target hydrogen production parameters of the hydrogen production equipment, the hydrogen production equipment is controlled to perform the hydrogen production task on the current water source, and the step of returning to execute obtaining the current hydrogen production data of the hydrogen production equipment, the current hydrogen production parameters of the hydrogen production equipment, and the water source sensor information of the current water source collected by each sensor.

[0010] Optionally, the identifying the current hydrogen production effect of the hydrogen production equipment through a hydrogen production evaluation strategy based on the current hydrogen production data includes:

[0011] Based on the current hydrogen production data, identify the current hydrogen generation concentration, the current hydrogen generation rate, and the current electric energy consumption rate, and obtain the user's current hydrogen production demand information;

[0012] Based on the current hydrogen production demand information, identify the required hydrogen generation concentration and the required hydrogen generation rate, and calculate the current hydrogen generation concentration, a first deviation value from the required hydrogen generation concentration, and the current hydrogen generation rate, a second deviation value from the required hydrogen generation rate;

[0013] Based on the first deviation value, the second deviation value, and the current electric energy consumption rate, a hydrogen production evaluation strategy is used to identify the concentration generation effect corresponding to the first deviation value, the rate adaptation effect corresponding to the second deviation value, and the energy-saving effect corresponding to the current electric energy consumption rate, and the concentration generation effect, the rate adaptation effect, and the energy-saving effect are used as the current hydrogen production effect of the hydrogen production equipment.

[0014] Optionally, based on the water source sensor information, identifying the water quality of the current water source and the water source hydrogen production state of the current water source through a water source identification network includes:

[0015] Identify the type of sensor data corresponding to each water source sensor information, and collect data analysis strategies for each sensor data type;

[0016] Based on the data analysis strategy of each sensor data type, the water source sensor information of each sensor data type is analyzed and processed to obtain the sensor evaluation information corresponding to each sensor data type;

[0017] The sensor evaluation information corresponding to each sensor data type is input into the water source identification network to identify the water quality of the current water source and the water source hydrogen production status of the current water source.

[0018] Optionally, the identifying, based on the water quality of the water source and the hydrogen production state of the water source, the influencing factor data of each hydrogen production influencing factor corresponding to the current water source includes:

[0019] Based on the water quality of the water source, each water source characteristic of the water source is scored through a water source scoring strategy to obtain a characteristic score value of each water source characteristic, and based on the hydrogen production state of the water source, the initial influencing factor data of each hydrogen production influencing factor corresponding to the current water source is identified;

[0020] Based on the characteristic score values ​​of the characteristics of each of the water sources, weighted calculation processing is performed on the initial influencing factor data of each of the hydrogen production influencing factors to obtain the influencing factor data of each of the hydrogen production influencing factors corresponding to the current water source.

[0021] Optionally, the generating of applicable hydrogen production information of the current water source through a hydrogen production map based on the influencing factor data of each of the hydrogen production influencing factors includes:

[0022] Based on each of the hydrogen production influencing factors, query the influence degree value of each hydrogen production influencing angle corresponding to the influence factor data of each hydrogen production influencing factor in the database;

[0023] Based on the influence degree values ​​of the hydrogen production influencing angles, identifying the hydrogen production rate distribution information of the current water source and the hydrogen production concentration distribution information of the current water source through the hydrogen production map;

[0024] The hydrogen production rate distribution information of the current water source and the hydrogen production concentration distribution information of the current water source are used as the applicable hydrogen production information of the current water source.

[0025] Optionally, adjusting the current hydrogen production parameters of the hydrogen production equipment based on the applicable hydrogen production information to obtain the target hydrogen production parameters of the hydrogen production equipment includes:

[0026] Based on the required hydrogen generation concentration and the required hydrogen generation rate, in the applicable hydrogen production information, a first electric energy demand range corresponding to the required hydrogen generation concentration and a second electric energy demand range corresponding to the required hydrogen generation rate are queried, and based on the first electric energy demand range and the second electric energy demand range, target electric energy data is screened through an electric energy optimization strategy;

[0027] Based on the target electric energy data, each new hydrogen production parameter corresponding to the target electric energy data is queried in the parameter database of the hydrogen production equipment, and each new hydrogen production parameter is used as the target hydrogen production parameter of the hydrogen production equipment.

[0028] In addition, to achieve the above-mentioned purpose, the present invention also provides an optimization system for an adaptive hydrogen production equipment, the optimization system for the adaptive hydrogen production equipment comprising:

[0029] An acquisition module is used to acquire current hydrogen production data of the hydrogen production equipment, current hydrogen production parameters of the hydrogen production equipment, and water source sensor information of the current water source collected by each sensor, and based on the current hydrogen production data, identify the current hydrogen production effect of the hydrogen production equipment through a hydrogen production evaluation strategy;

[0030] an identification module, for identifying, when the hydrogen production effect does not meet the preset hydrogen production effect, the water source quality of the current water source and the water source hydrogen production state of the current water source through a water source identification network based on the water source sensor information, and identifying the influencing factor data of each hydrogen production influencing factor corresponding to the current water source based on the water source quality and the water source hydrogen production state;

[0031] An adjustment module, configured to generate applicable hydrogen production information of the current water source through a hydrogen production map based on the influencing factor data of each of the hydrogen production influencing factors, and adjust the current hydrogen production parameters of the hydrogen production equipment based on the applicable hydrogen production information to obtain target hydrogen production parameters of the hydrogen production equipment;

[0032] The iterative module is used to control the hydrogen production equipment to perform the hydrogen production task on the current water source based on the target hydrogen production parameters of the hydrogen production equipment, and return to execute the step of obtaining the current hydrogen production data of the hydrogen production equipment, the current hydrogen production parameters of the hydrogen production equipment, and the water source sensor information of the current water source collected by each sensor.

[0033] Optionally, the acquisition module is specifically used to:

[0034] Based on the current hydrogen production data, identify the current hydrogen generation rate, the current hydrogen generation concentration, and the current electric energy consumption rate, and obtain the current hydrogen production demand information of the user;

[0035] Based on the current hydrogen production demand information, identify the required hydrogen generation concentration and the required hydrogen generation rate, and calculate the current hydrogen generation concentration, a first deviation value from the required hydrogen generation concentration, and the current hydrogen generation rate, a second deviation value from the required hydrogen generation rate;

[0036] Based on the first deviation value, the second deviation value, and the current electric energy consumption rate, a hydrogen production evaluation strategy is used to identify the concentration generation effect corresponding to the first deviation value, the rate adaptation effect corresponding to the second deviation value, and the energy-saving effect corresponding to the current electric energy consumption rate, and the concentration generation effect, the rate adaptation effect, and the energy-saving effect are used as the current hydrogen production effect of the hydrogen production equipment.

[0037] Optionally, the identification module is specifically used to:

[0038] Identify the type of sensor data corresponding to each water source sensor information, and collect data analysis strategies for each sensor data type;

[0039] Based on the data analysis strategy of each sensor data type, the water source sensor information of each sensor data type is analyzed and processed to obtain the sensor evaluation information corresponding to each sensor data type;

[0040] The sensor evaluation information corresponding to each sensor data type is input into the water source identification network to identify the water quality of the current water source and the water source hydrogen production status of the current water source.

[0041] Optionally, the identification module is specifically used to:

[0042] Based on the water quality of the water source, each water source characteristic of the water source is scored through a water source scoring strategy to obtain a characteristic score value of each water source characteristic, and based on the hydrogen production state of the water source, the initial influencing factor data of each hydrogen production influencing factor corresponding to the current water source is identified;

[0043] Based on the characteristic score values ​​of the characteristics of each of the water sources, weighted calculation processing is performed on the initial influencing factor data of each of the hydrogen production influencing factors to obtain the influencing factor data of each of the hydrogen production influencing factors corresponding to the current water source.

[0044] Optionally, the adjustment module is specifically used to:

[0045] Based on each of the hydrogen production influencing factors, query the influence degree value of each hydrogen production influencing angle corresponding to the influence factor data of each hydrogen production influencing factor in the database;

[0046] Based on the influence degree values ​​of the hydrogen production influencing angles, identifying the hydrogen production rate distribution information of the current water source and the hydrogen production concentration distribution information of the current water source through the hydrogen production map;

[0047] The hydrogen production rate distribution information of the current water source and the hydrogen production concentration distribution information of the current water source are used as the applicable hydrogen production information of the current water source.

[0048] Optionally, the adjustment module is specifically used to:

[0049] Based on the required hydrogen generation concentration and the required hydrogen generation rate, in the applicable hydrogen production information, a first electric energy demand range corresponding to the required hydrogen generation concentration and a second electric energy demand range corresponding to the required hydrogen generation rate are queried, and based on the first electric energy demand range and the second electric energy demand range, target electric energy data is screened through an electric energy optimization strategy;

[0050] Based on the target electric energy data, each new hydrogen production parameter corresponding to the target electric energy data is queried in the parameter database of the hydrogen production equipment, and each new hydrogen production parameter is used as the target hydrogen production parameter of the hydrogen production equipment.

[0051] In a third aspect, the present application provides a computer device, wherein the computer device comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of any one of the methods in the first aspect are implemented.

[0052] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0053] In a fifth aspect, the present application provides a computer program product. The computer program product includes a computer program, and when the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0054] The present invention provides an optimization method and system for adaptive hydrogen production equipment, the method comprising: obtaining current hydrogen production data of the hydrogen production equipment, current hydrogen production parameters of the hydrogen production equipment, and water source sensor information of the current water source collected by each sensor, and based on the current hydrogen production data, identifying the current hydrogen production effect of the hydrogen production equipment through a hydrogen production evaluation strategy; when the hydrogen production effect does not meet the preset hydrogen production effect, based on each of the water source sensor information, identifying the water source quality of the current water source and the water source hydrogen production state of the current water source through a water source identification network, and based on the water source water quality and the water source hydrogen production state , identify the influencing factor data of each hydrogen production influencing factor corresponding to the current water source; based on the influencing factor data of each hydrogen production influencing factor, generate the applicable hydrogen production information of the current water source through the hydrogen production map, and adjust the current hydrogen production parameters of the hydrogen production equipment based on the applicable hydrogen production information to obtain the target hydrogen production parameters of the hydrogen production equipment; based on the target hydrogen production parameters of the hydrogen production equipment, control the hydrogen production equipment to perform the hydrogen production task on the current water source, and return to execute the steps of obtaining the current hydrogen production data of the hydrogen production equipment, the current hydrogen production parameters of the hydrogen production equipment, and the water source sensor information of the current water source collected by each sensor. This scheme detects the current hydrogen production data of the hydrogen production equipment in real time, thereby identifying the current hydrogen production effect of the hydrogen production equipment, so as to analyze whether the current hydrogen production effect of the hydrogen production equipment meets the preset hydrogen production effect, and when the current hydrogen production effect does not meet the preset hydrogen production effect, the parameter adjustment process of the hydrogen production equipment is executed again, which solves the problem of high energy consumption and low efficiency of real-time adjustment of hydrogen production parameters, so as to achieve the purpose of intelligent parameter adjustment, thereby ensuring the hydrogen production effect, reducing the parameter adjustment energy consumption through intelligent parameter adjustment, and improving the energy saving effect of the hydrogen production equipment. Then, this solution uses the water source sensor information of the current water source to obtain in real time, so as to analyze the water quality of the current water source and the hydrogen production status of the water source in real time. In this way, the influencing factor data of each hydrogen production factor is analyzed. Then, through the hydrogen production map, the target hydrogen production parameters of the hydrogen production equipment are generated, so as to intelligently adjust the hydrogen production method of the hydrogen production equipment to ensure the stability of hydrogen production under different water source conditions, thereby improving the regulation efficiency of stable hydrogen production. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the scheme in the present application, a brief introduction is given below to the drawings required for use in the description of the embodiments of the present application. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0056] Figure 1 is a flow chart of an optimization method for an adaptive hydrogen production device provided by an embodiment of the present invention;

[0057] Figure 2is a structural schematic diagram of an optimization system for an adaptive hydrogen production device provided in an embodiment of the present invention;

[0058] Figure 3 An internal structure diagram of a computer device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0059] The optimization method of the adaptive hydrogen production equipment provided by the embodiment of the present invention is applied to the optimization system of the adaptive hydrogen production equipment. Unless otherwise defined, all technical and scientific terms used in this article have the same meaning as those generally understood by technicians in the technical field of this application; the terms used in the specification of the application herein are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" in the specification and claims of this application and the above-mentioned drawings and any variations thereof are intended to cover non-exclusive inclusions. The terms "first", "second", etc. in the specification and claims of this application or the above-mentioned drawings are used to distinguish different objects, not to describe a specific order.

[0060] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0061] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings.

[0062] The optimization method of the adaptive hydrogen production equipment provided in the embodiment of the present application can be applied to the stability adjustment application environment of the portable hydrogen production equipment. The method can be applied to the terminal, the server, and the system including the terminal and the server, and is realized through the interaction between the terminal and the server. Among them, the terminal can be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, etc. Among them, the terminal identifies the current hydrogen production effect of the hydrogen production equipment through the current hydrogen production data of the hydrogen production equipment detected in real time, so as to analyze whether the current hydrogen production effect of the hydrogen production equipment meets the preset hydrogen production effect. When the current hydrogen production effect does not meet the preset hydrogen production effect, the parameter adjustment process of the hydrogen production equipment is executed again, which solves the problem of high energy consumption and low efficiency of real-time adjustment of hydrogen production parameters, so as to achieve the purpose of intelligent parameter adjustment, thereby ensuring the hydrogen production effect while reducing the parameter adjustment energy consumption through intelligent parameter adjustment, and improving the energy saving effect of the hydrogen production equipment. Then, this scheme analyzes the water quality of the current water source and the hydrogen production state of the water source in real time by acquiring the water source sensor information of the current water source in real time. So as to analyze the influencing factor data of each hydrogen production influencing factor. Then, the target hydrogen production parameters of the hydrogen production equipment are generated through the hydrogen production map, so as to intelligently adjust the hydrogen production method of the hydrogen production equipment to ensure the stability of hydrogen production under different water source conditions, thereby improving the regulation efficiency of stable hydrogen production.

[0063] In one embodiment, Figure 1 As shown, an optimization method for adaptive hydrogen production equipment is provided, which is described by taking the application of the method to a terminal as an example, and includes the following steps:

[0064] Step S101, obtaining the current hydrogen production data of the hydrogen production equipment, the current hydrogen production parameters of the hydrogen production equipment, and the water source sensor information of the current water source collected by each sensor, and based on the current hydrogen production data, identifying the current hydrogen production effect of the hydrogen production equipment through a hydrogen production evaluation strategy.

[0065] In this embodiment, the terminal collects the current hydrogen production data of the hydrogen production equipment and the current hydrogen production parameters of the hydrogen production equipment through the equipment detection device arranged in the hydrogen production equipment. Among them, the equipment detection device includes a hydrogen concentration detection device, an air flow velocity detection device, an electric energy loss detection device, etc. Then, the terminal collects the water source sensing information of the current water source through various sensor devices arranged at the part where the housing of the hydrogen production equipment is connected to the water source that needs to produce hydrogen. Among them, the sensor equipment includes but is not limited to sensors such as water density sensor equipment, pH value detection equipment, water oxygen content sensor equipment, heavy metal content sensor equipment, water turbidity sensor equipment, and water color sensor equipment. Then, based on the current hydrogen production data, the terminal identifies the current hydrogen production effect of the hydrogen production equipment through the hydrogen production evaluation strategy. Among them, the hydrogen production evaluation strategy includes a concentration generation effect evaluation strategy for identifying hydrogen production concentration deviation, a rate adaptation effect evaluation strategy for hydrogen production rate deviation, and an energy-saving effect evaluation strategy corresponding to the electric energy consumption rate. The specific evaluation process will be described in detail later.

[0066] Step S102, when the hydrogen production effect does not meet the preset hydrogen production effect, based on the sensor information of each water source, the water source quality of the current water source and the water source hydrogen production status of the current water source are identified through the water source identification network, and based on the water source water quality and the water source hydrogen production status, the influencing factor data of each hydrogen production influencing factor corresponding to the current water source are identified.

[0067] In this embodiment, when the hydrogen production effect of the terminal does not meet the preset hydrogen production effect, based on the sensor information of each water source, the water source identification network identifies the water quality of the current water source and the water source hydrogen production state of the current water source, and identifies the influencing factor data of each hydrogen production influencing factor corresponding to the current water source based on the water quality of the water source and the water source hydrogen production state. Among them, the terminal concentration generates an effect range, a rate adaptation effect range, and an energy-saving effect range, and then determines that the hydrogen production effect does not meet the preset hydrogen production effect when there is a certain effect that does not belong to the effect range. The water source identification network is a classifier based on a reinforcement learning neural network. The classifier can identify the water quality of the water source to which the current water source belongs and the water source hydrogen production state based on the sensor information of each water source. Among them, the water quality of the water source is the quality of the water source, and the water source hydrogen production state is the data state of the water source related to hydrogen production, and the data related to hydrogen production, such as water temperature, dissolved oxygen content, electrolyte content, water turbidity, water body organic matter content and other data. The specific identification process will be described in detail later.

[0068] Step S103, based on the influencing factor data of each hydrogen production influencing factor, generate applicable hydrogen production information of the current water source through the hydrogen production map, and adjust the current hydrogen production parameters of the hydrogen production equipment based on the applicable hydrogen production information to obtain the target hydrogen production parameters of the hydrogen production equipment.

[0069] In this embodiment, the terminal generates applicable hydrogen production information for the current water source through a hydrogen production map based on the influencing factor data of each hydrogen production influencing factor, and adjusts the current hydrogen production parameters of the hydrogen production equipment based on the applicable hydrogen production information to obtain the target hydrogen production parameters of the hydrogen production equipment. Among them, the hydrogen production map includes the influence degree value of each hydrogen production influencing angle, and the association information between the hydrogen production rate distribution information and the hydrogen production concentration distribution information. The terminal identifies the applicable hydrogen production information for the current water source through the association information and the influence degree value of each hydrogen production influencing angle. Among them, the hydrogen production influencing angle includes but is not limited to the hydrogen production rate influencing angle, the hydrogen production concentration influencing angle, etc. The applicable hydrogen production information includes the hydrogen production rate distribution information of the current water source, and the hydrogen production concentration distribution information of the current water source.

[0070] Step S104, based on the target hydrogen production parameters of the hydrogen production equipment, control the hydrogen production equipment to perform the hydrogen production task on the current water source, and return to execute the step of obtaining the current hydrogen production data of the hydrogen production equipment, the current hydrogen production parameters of the hydrogen production equipment, and the water source sensor information of the current water source collected by each sensor.

[0071] In this embodiment, the terminal controls the hydrogen production equipment to perform the hydrogen production task on the current water source based on the target hydrogen production parameters of the hydrogen production equipment, and returns to execute the step of obtaining the current hydrogen production data of the hydrogen production equipment, the current hydrogen production parameters of the hydrogen production equipment, and the water source sensor information of the current water source collected by each sensor.

[0072] Based on the above scheme, the current hydrogen production data of the hydrogen production equipment is detected in real time to identify the current hydrogen production effect of the hydrogen production equipment, so as to analyze whether the current hydrogen production effect of the hydrogen production equipment meets the preset hydrogen production effect. When the current hydrogen production effect does not meet the preset hydrogen production effect, the parameter adjustment process of the hydrogen production equipment is executed again, avoiding the high energy consumption and low efficiency of real-time adjustment of hydrogen production parameters, so as to achieve the purpose of intelligent parameter adjustment, thereby ensuring the hydrogen production effect while reducing the parameter adjustment energy consumption through intelligent parameter adjustment, and improving the energy saving effect of the hydrogen production equipment. Then, this scheme analyzes the water quality of the current water source and the hydrogen production status of the water source in real time through the water source sensor information of the current water source obtained in real time. So as to analyze the influencing factor data of each hydrogen production influencing factor. Then, through the hydrogen production map, the target hydrogen production parameters of the hydrogen production equipment are generated, so as to intelligently adjust the hydrogen production method of the hydrogen production equipment to ensure that the stability of hydrogen production can be ensured under different water source conditions, thereby improving the regulation efficiency of hydrogen production stability.

[0073] Optionally, based on the current hydrogen production data, a hydrogen production evaluation strategy is used to identify the current hydrogen production effect of the hydrogen production equipment, including: based on the current hydrogen production data, identifying the current hydrogen generation rate, the current hydrogen generation concentration, and the current electric energy consumption rate, and obtaining the user's current hydrogen production demand information; based on the current hydrogen production demand information, identifying the required hydrogen generation concentration and the required hydrogen generation rate, and calculating the current hydrogen generation concentration, a first deviation value from the required hydrogen generation concentration, and the current hydrogen generation rate, and a second deviation value from the required hydrogen generation rate; based on the first deviation value, the second deviation value, and the current electric energy consumption rate, a concentration generation effect corresponding to the first deviation value, a rate adaptation effect corresponding to the second deviation value, and an energy-saving effect corresponding to the current electric energy consumption rate are identified through a hydrogen production evaluation strategy, and the concentration generation effect, the rate adaptation effect, and the energy-saving effect are used as the current hydrogen production effect of the hydrogen production equipment.

[0074] In this embodiment, the terminal identifies the current hydrogen generation rate, the current hydrogen generation concentration, and the current power consumption rate based on the current hydrogen production data, and obtains the user's current hydrogen production demand information. The current hydrogen production demand information is the hydrogen production demand selected by the user when starting the hydrogen production equipment, and the hydrogen production demand includes the hydrogen production concentration and the hydrogen production rate.

[0075] Then, based on the current hydrogen production demand information, the terminal identifies the required hydrogen generation concentration and the required hydrogen generation rate, and calculates the current hydrogen generation concentration, the first deviation value from the required hydrogen generation concentration, and the current hydrogen generation rate, the second deviation value from the required hydrogen generation rate. The deviation value has positive and negative deviation values, and the positive deviation value indicates that the current hydrogen generation concentration / rate is lower than the required hydrogen generation concentration / rate, and the negative deviation value indicates that the current hydrogen generation concentration / rate is higher than the required hydrogen generation concentration / rate.

[0076] Based on the first deviation value, the second deviation value, and the current power consumption rate, the terminal identifies the concentration generation effect corresponding to the first deviation value, the rate adaptation effect corresponding to the second deviation value, and the energy-saving effect corresponding to the current power consumption rate through the hydrogen production evaluation strategy, and uses the concentration generation effect, the rate adaptation effect, and the energy-saving effect as the current hydrogen production effect of the hydrogen production equipment. The hydrogen production evaluation strategy includes a concentration evaluation strategy, a rate evaluation strategy, and an energy-saving evaluation strategy, wherein each evaluation strategy includes the concentration generation effect corresponding to each first deviation value range, the rate adaptation effect corresponding to each second deviation value range, and the energy-saving effect corresponding to each power consumption rate range. Then, the terminal determines each effect by identifying the range to which each deviation value belongs or the range described by each power consumption rate.

[0077] Based on the above solution, the concentration deviation and rate deviation are separated and identified based on the hydrogen production demand information, and then the concentration generation effect, rate adaptation effect, and energy saving effect are identified respectively, which improves the comprehensiveness and accuracy of the identification.

[0078] Optionally, based on the sensor information of each water source, the water source quality of the current water source and the water source hydrogen production status of the current water source are identified through a water source identification network, including: identifying the sensor data type corresponding to each water source sensor information, and collecting the data analysis strategy for each sensor data type; based on the data analysis strategy for each sensor data type, analyzing and processing the water source sensor information of each sensor data type to obtain sensor evaluation information corresponding to each sensor data type; inputting the sensor evaluation information corresponding to each sensor data type into the water source identification network to identify the water source quality of the current water source and the water source hydrogen production status of the current water source.

[0079] In this embodiment, the terminal identifies the type of sensor data corresponding to each water source sensor information, and collects the data analysis strategy for each sensor data type. The sensor data type is the sensor type corresponding to the water source sensor information, for example, the water density type corresponding to the water density sensor device, the pH value type corresponding to the pH value detection device, the water oxygen content type corresponding to the water oxygen content sensor device, the heavy metal content type corresponding to the heavy metal content sensor device, the turbidity type corresponding to the water turbidity sensor device, the chromaticity type corresponding to the water chromaticity sensor device, etc.

[0080] Based on the data analysis strategy of each sensor data type, the terminal analyzes and processes the water source sensor information of each sensor data type to obtain the sensor evaluation information corresponding to each sensor data type. The data analysis strategy of each sensor data type includes the evaluation information corresponding to each water source sensor information range of each sensor data type. For example, the water source sensor information corresponding to the water oxygen content type is the water oxygen content value, and the data analysis strategy of the water oxygen content type includes the evaluation information corresponding to each water oxygen content range, wherein the evaluation information includes low water oxygen content, relatively low water oxygen content, appropriate water oxygen content, relatively high water oxygen content, high water oxygen content, etc. Then, the terminal determines the evaluation information corresponding to the water oxygen content value based on the water oxygen content range to which the water oxygen content value belongs.

[0081] Then, the terminal inputs the sensor evaluation information corresponding to each sensor data type into the water source identification network to identify the water quality of the current water source and the water source hydrogen production status of the current water source. The water source identification network determines the water quality of the current water source and the water source hydrogen production status based on the sensor evaluation information corresponding to each sensor data type.

[0082] Based on the above scheme, the water quality and hydrogen production status of the water source are identified after evaluating the sensor data information of each sensor data type, thereby improving the recognition efficiency and recognition accuracy.

[0083] Optionally, based on the water quality of the water source, and the hydrogen production status of the water source, the influencing factor data of each hydrogen production influencing factor corresponding to the current water source are identified, including: based on the water quality of the water source, through a water source scoring strategy, scoring each water source characteristic of the water source to obtain a characteristic scoring value of each water source characteristic, and based on the hydrogen production status of the water source, identifying the initial influencing factor data of each hydrogen production influencing factor corresponding to the current water source; based on the characteristic scoring value of each water source characteristic, weighted calculation processing is performed on the initial influencing factor data of each hydrogen production influencing factor to obtain the influencing factor data of each hydrogen production influencing factor corresponding to the current water source.

[0084] In this embodiment, the terminal scores each water source characteristic of the water source based on the water quality of the water source through the water source scoring strategy to obtain the characteristic scoring value of each water source characteristic, and identifies the initial influencing factor data of each hydrogen production influencing factor corresponding to the current water source based on the hydrogen production state of the water source. Among them, the water source characteristic is the data characteristic corresponding to the water quality type related to hydrogen production of the current water source, wherein the water source characteristic includes more than one water quality data, for example, the water source characteristic includes the percentage of electrolyte content, the percentage of organic matter content in the water body, the percentage of water oxygen content, water temperature data, etc. Among them, the characteristic scoring value of each water source characteristic includes the scoring strategy of different water source characteristics. The scoring strategy is preset in the terminal as each scoring program. The terminal scores each water source characteristic by starting each scoring program to obtain each characteristic scoring value.

[0085] Finally, the terminal performs weighted calculation processing on the initial influencing factor data of each hydrogen production influencing factor based on the characteristic score value of each water source characteristic, and obtains the influencing factor data of each hydrogen production influencing factor corresponding to the current water source. Among them, the terminal presets the corresponding relationship between each hydrogen production influencing factor and the water source characteristic, and then the terminal normalizes the characteristic score value of each water source characteristic to obtain the weight value of the hydrogen production influencing factor corresponding to each water source characteristic. Among them, the hydrogen production influencing factor includes but is not limited to the hydrogen production rate influencing factor, the hydrogen production concentration influencing factor, the hydrogen production stability influencing factor, etc. Among them, one hydrogen production influencing factor can correspond to one or more water source characteristics, and each water source characteristic can only correspond to one hydrogen production influencing factor. When the hydrogen production influencing factor corresponds to multiple water source characteristics, the weight value of the hydrogen production influencing factor is the weight value obtained by averaging the normalized characteristic score values ​​of each water source characteristic. For example, the hydrogen production rate influencing factor is the percentage of electrolyte content and water temperature data; the hydrogen production concentration influencing factor is the percentage of water oxygen content; the hydrogen production stability influencing factor is the percentage of organic matter content in the water body.

[0086] Based on the above scheme, after scoring the water quality of the water source, the influencing factor data of each hydrogen production influencing factor is weightedly calculated, which improves the comprehensiveness and accuracy of the influencing factor data for calculating the hydrogen production influencing factors.

[0087] Optionally, based on the influencing factor data of each hydrogen production influencing factor, applicable hydrogen production information for the current water source is generated through a hydrogen production map, including: based on each hydrogen production influencing factor, querying the influence degree value of each hydrogen production influencing angle corresponding to the influence factor data of each hydrogen production influencing factor in a database; based on the influence degree value of each hydrogen production influencing angle, identifying the hydrogen production rate distribution information of the current water source and the hydrogen production concentration distribution information of the current water source through a hydrogen production map; using the hydrogen production rate distribution information of the current water source and the hydrogen production concentration distribution information of the current water source as the applicable hydrogen production information for the current water source.

[0088] In this embodiment, the terminal queries the influence degree values ​​of each hydrogen production influencing angle corresponding to the influencing factor data of each hydrogen production influencing factor in the database based on each hydrogen production influencing factor. Then, based on the influence degree values ​​of each hydrogen production influencing angle, the terminal identifies the hydrogen production rate distribution information of the current water source and the hydrogen production concentration distribution information of the current water source through the hydrogen production map. Among them, the hydrogen production map is the experimental data obtained by batch experiments according to the single variable method based on the influence degree values ​​of different hydrogen production influencing angles obtained by the staff based on the suggestions of relevant experts, the disclosure of relevant literature, and specific experimental studies, so as to analyze the corresponding relationship between each influence degree value and each hydrogen production rate / hydrogen production concentration. Among them, the hydrogen production rate distribution information is the arrangement distribution diagram obtained after the hydrogen production rates corresponding to different electric energy data are arranged in order from small to large; the hydrogen production concentration distribution information is the arrangement distribution diagram obtained after the hydrogen production concentrations corresponding to different electric energy data are arranged in order from small to large. Finally, the terminal uses the hydrogen production rate distribution information of the current water source and the hydrogen production concentration distribution information of the current water source as the applicable hydrogen production information of the current water source.

[0089] Based on the above scheme, the accuracy of identification is improved by identifying the hydrogen production map, the hydrogen production rate distribution information of the current water source, and the hydrogen production concentration distribution information of the current water source.

[0090] Optionally, based on the applicable hydrogen production information, current hydrogen production parameters of the hydrogen production equipment are adjusted to obtain target hydrogen production parameters of the hydrogen production equipment, including: based on the required hydrogen generation concentration and the required hydrogen generation rate, in the applicable hydrogen production information, a first electric energy demand range corresponding to the required hydrogen generation concentration and a second electric energy demand range corresponding to the required hydrogen generation rate are queried, and based on the first electric energy demand range and the second electric energy demand range, target electric energy data are screened through an electric energy optimization strategy; based on the target electric energy data, each new hydrogen production parameter corresponding to the target electric energy data is queried in the parameter database of the hydrogen production equipment, and each new hydrogen production parameter is used as the target hydrogen production parameter of the hydrogen production equipment.

[0091] In this embodiment, the terminal queries the first electric energy demand range corresponding to the required hydrogen generation concentration and the second electric energy demand range corresponding to the required hydrogen generation rate in the applicable hydrogen production information based on the required hydrogen generation concentration and the required hydrogen generation rate, and screens the target electric energy data based on the first electric energy demand range and the second electric energy demand range through the electric energy optimization strategy, wherein the optimization method of the electric energy optimization strategy is that each electric energy data corresponds to a hydrogen generation concentration and a hydrogen generation rate, and then the terminal screens the adapted electric energy data in each electric energy data in a manner of low electric energy consumption but high hydrogen generation concentration and high hydrogen generation rate to obtain the target electric energy data. Finally, based on the target electric energy data, the terminal queries the new hydrogen production parameters corresponding to the target electric energy data in the parameter database of the hydrogen production equipment, and uses the new hydrogen production parameters as the target hydrogen production parameters of the hydrogen production equipment.

[0092] Based on the above scheme, the electric energy data is screened through the distribution information corresponding to the hydrogen generation concentration and the hydrogen generation rate, so as to reduce the electric energy consumption and improve the electric energy optimization effect on the basis of ensuring the required hydrogen generation concentration and the required hydrogen generation rate.

[0093] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0094] Based on the same inventive concept, the embodiment of the present application also provides an optimization system for an adaptive hydrogen production device for implementing the optimization method for the adaptive hydrogen production device involved above. The implementation scheme for solving the problem provided by the system is similar to the implementation scheme recorded in the above method, so the specific limitations in the optimization system embodiments of one or more adaptive hydrogen production devices provided below can refer to the limitations of the optimization method for adaptive hydrogen production devices above, and will not be repeated here.

[0095] Further references Figure 2 , as a response to the above Figure 1 The implementation of the method shown in the figure, the present application provides an embodiment of an optimization system 200 for adaptive hydrogen production equipment, the optimization system for adaptive hydrogen production equipment comprises an acquisition module 210, an identification module 220, an adjustment module 230 and an iteration module 240, wherein:

[0096] The acquisition module 210 is used to acquire the current hydrogen production data of the hydrogen production equipment, the current hydrogen production parameters of the hydrogen production equipment, and the water source sensor information of the current water source collected by each sensor, and identify the current hydrogen production effect of the hydrogen production equipment through the hydrogen production evaluation strategy based on the current hydrogen production data;

[0097] The identification module 220 is used to identify the water quality of the current water source and the water source hydrogen production state of the current water source through the water source identification network when the hydrogen production effect does not meet the preset hydrogen production effect based on the water source sensor information, and identify the influencing factor data of each hydrogen production influencing factor corresponding to the current water source based on the water source water quality and the water source hydrogen production state;

[0098] The adjustment module 230 is used to generate applicable hydrogen production information of the current water source based on the influencing factor data of each of the hydrogen production influencing factors through a hydrogen production map, and adjust the current hydrogen production parameters of the hydrogen production equipment based on the applicable hydrogen production information to obtain the target hydrogen production parameters of the hydrogen production equipment;

[0099] The iteration module 240 is used to control the hydrogen production equipment to perform the hydrogen production task on the current water source based on the target hydrogen production parameters of the hydrogen production equipment, and return to execute the step of obtaining the current hydrogen production data of the hydrogen production equipment, the current hydrogen production parameters of the hydrogen production equipment, and the water source sensor information of the current water source collected by each sensor.

[0100] Optionally, the acquisition module 210 is specifically configured to:

[0101] Based on the current hydrogen production data, identify the current hydrogen generation rate, the current hydrogen generation concentration, and the current electric energy consumption rate, and obtain the current hydrogen production demand information of the user;

[0102] Based on the current hydrogen production demand information, identify the required hydrogen generation concentration and the required hydrogen generation rate, and calculate the current hydrogen generation concentration, a first deviation value from the required hydrogen generation concentration, and the current hydrogen generation rate, a second deviation value from the required hydrogen generation rate;

[0103] Based on the first deviation value, the second deviation value, and the current electric energy consumption rate, a hydrogen production evaluation strategy is used to identify the concentration generation effect corresponding to the first deviation value, the rate adaptation effect corresponding to the second deviation value, and the energy-saving effect corresponding to the current electric energy consumption rate, and the concentration generation effect, the rate adaptation effect, and the energy-saving effect are used as the current hydrogen production effect of the hydrogen production equipment.

[0104] Optionally, the identification module 220 is specifically configured to:

[0105] Identify the type of sensor data corresponding to each water source sensor information, and collect data analysis strategies for each sensor data type;

[0106] Based on the data analysis strategy of each sensor data type, the water source sensor information of each sensor data type is analyzed and processed to obtain the sensor evaluation information corresponding to each sensor data type;

[0107] The sensor evaluation information corresponding to each sensor data type is input into the water source identification network to identify the water quality of the current water source and the water source hydrogen production status of the current water source.

[0108] Optionally, the identification module 220 is specifically configured to:

[0109] Based on the water quality of the water source, each water source characteristic of the water source is scored through a water source scoring strategy to obtain a characteristic score value of each water source characteristic, and based on the hydrogen production state of the water source, the initial influencing factor data of each hydrogen production influencing factor corresponding to the current water source is identified;

[0110] Based on the characteristic score values ​​of the characteristics of each of the water sources, weighted calculation processing is performed on the initial influencing factor data of each of the hydrogen production influencing factors to obtain the influencing factor data of each of the hydrogen production influencing factors corresponding to the current water source.

[0111] Optionally, the adjustment module 230 is specifically configured to:

[0112] Based on each of the hydrogen production influencing factors, query the influence degree value of each hydrogen production influencing angle corresponding to the influence factor data of each hydrogen production influencing factor in the database;

[0113] Based on the influence degree values ​​of the hydrogen production influencing angles, identifying the hydrogen production rate distribution information of the current water source and the hydrogen production concentration distribution information of the current water source through the hydrogen production map;

[0114] The hydrogen production rate distribution information of the current water source and the hydrogen production concentration distribution information of the current water source are used as the applicable hydrogen production information of the current water source.

[0115] Optionally, the adjustment module 230 is specifically configured to:

[0116] Based on the required hydrogen generation concentration and the required hydrogen generation rate, in the applicable hydrogen production information, a first electric energy demand range corresponding to the required hydrogen generation concentration and a second electric energy demand range corresponding to the required hydrogen generation rate are queried, and based on the first electric energy demand range and the second electric energy demand range, target electric energy data is screened through an electric energy optimization strategy;

[0117] Based on the target electric energy data, each new hydrogen production parameter corresponding to the target electric energy data is queried in the parameter database of the hydrogen production equipment, and each new hydrogen production parameter is used as the target hydrogen production parameter of the hydrogen production equipment.

[0118] Each module in the optimization system of the above-mentioned adaptive hydrogen production equipment can be implemented in whole or in part by software, hardware and a combination thereof. Each of the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0119] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Figure 3As shown. The computer device includes a processor, a memory, a communication interface, a display screen and an input system connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, an optimization method for adaptive hydrogen production equipment is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input system of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device housing, or an external keyboard, touchpad or mouse, etc.

[0120] Those skilled in the art will understand that Figure 3 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0121] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the steps of any one of the methods in the first aspect are implemented.

[0122] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0123] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the steps of any one of the methods in the first aspect.

[0124] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0125] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0126] The technical features of the above embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0127] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. An optimization method for an adaptive hydrogen production equipment, characterized in that: The method comprises: Acquire current hydrogen production data of the hydrogen production equipment, current hydrogen production parameters of the hydrogen production equipment, and water source sensor information of the current water source collected by each sensor, and identify the current hydrogen production effect of the hydrogen production equipment through a hydrogen production evaluation strategy based on the current hydrogen production data; When the hydrogen production effect does not meet the preset hydrogen production effect, based on the water source sensor information, the water source quality of the current water source and the water source hydrogen production state of the current water source are identified through the water source identification network, and based on the water source water quality and the water source hydrogen production state, the influencing factor data of each hydrogen production influencing factor corresponding to the current water source are identified; Based on the influencing factor data of each of the hydrogen production influencing factors, the applicable hydrogen production information of the current water source is generated through a hydrogen production map, and based on the applicable hydrogen production information, the current hydrogen production parameters of the hydrogen production equipment are adjusted to obtain the target hydrogen production parameters of the hydrogen production equipment; Based on the target hydrogen production parameters of the hydrogen production equipment, the hydrogen production equipment is controlled to perform the hydrogen production task on the current water source, and the step of returning to execute obtaining the current hydrogen production data of the hydrogen production equipment, the current hydrogen production parameters of the hydrogen production equipment, and the water source sensor information of the current water source collected by each sensor.

2. The optimization method of an adaptive hydrogen production equipment according to claim 1, characterized in that: The identifying the current hydrogen production effect of the hydrogen production equipment through a hydrogen production evaluation strategy based on the current hydrogen production data includes: Based on the current hydrogen production data, identify the current hydrogen generation concentration, the current hydrogen generation rate, and the current electric energy consumption rate, and obtain the user's current hydrogen production demand information; Based on the current hydrogen production demand information, identify the required hydrogen generation concentration and the required hydrogen generation rate, and calculate the current hydrogen generation concentration, a first deviation value from the required hydrogen generation concentration, and the current hydrogen generation rate, a second deviation value from the required hydrogen generation rate; Based on the first deviation value, the second deviation value, and the current electric energy consumption rate, a hydrogen production evaluation strategy is used to identify the concentration generation effect corresponding to the first deviation value, the rate adaptation effect corresponding to the second deviation value, and the energy-saving effect corresponding to the current electric energy consumption rate, and the concentration generation effect, the rate adaptation effect, and the energy-saving effect are used as the current hydrogen production effect of the hydrogen production equipment.

3. The optimization method of an adaptive hydrogen production equipment according to claim 1, characterized in that: The method of identifying the water quality of the current water source and the water source hydrogen production state of the current water source through a water source identification network based on the water source sensor information includes: Identify the type of sensor data corresponding to each water source sensor information, and collect data analysis strategies for each sensor data type; Based on the data analysis strategy of each sensor data type, the water source sensor information of each sensor data type is analyzed and processed to obtain the sensor evaluation information corresponding to each sensor data type; The sensor evaluation information corresponding to each sensor data type is input into the water source identification network to identify the water quality of the current water source and the water source hydrogen production status of the current water source.

4. The optimization method of an adaptive hydrogen production equipment according to claim 2, characterized in that: The influencing factor data of each hydrogen production influencing factor corresponding to the current water source is identified based on the water quality of the water source and the hydrogen production state of the water source, including: Based on the water quality of the water source, each water source characteristic of the water source is scored through a water source scoring strategy to obtain a characteristic score value of each water source characteristic, and based on the hydrogen production state of the water source, the initial influencing factor data of each hydrogen production influencing factor corresponding to the current water source is identified; Based on the characteristic score values ​​of the characteristics of each of the water sources, weighted calculation processing is performed on the initial influencing factor data of each of the hydrogen production influencing factors to obtain the influencing factor data of each of the hydrogen production influencing factors corresponding to the current water source.

5. The optimization method of an adaptive hydrogen production equipment according to claim 4, characterized in that: The influencing factor data of each of the influencing factors of hydrogen production are used to generate applicable hydrogen production information of the current water source through a hydrogen production map, including: Based on each of the hydrogen production influencing factors, query the influence degree value of each hydrogen production influencing angle corresponding to the influence factor data of each hydrogen production influencing factor in the database; Based on the influence degree values ​​of the hydrogen production influencing angles, identifying the hydrogen production rate distribution information of the current water source and the hydrogen production concentration distribution information of the current water source through the hydrogen production map; The hydrogen production rate distribution information of the current water source and the hydrogen production concentration distribution information of the current water source are used as the applicable hydrogen production information of the current water source.

6. The optimization method of an adaptive hydrogen production equipment according to claim 5, characterized in that: The step of adjusting the current hydrogen production parameters of the hydrogen production equipment based on the applicable hydrogen production information to obtain the target hydrogen production parameters of the hydrogen production equipment includes: Based on the required hydrogen generation concentration and the required hydrogen generation rate, in the applicable hydrogen production information, a first electric energy demand range corresponding to the required hydrogen generation concentration and a second electric energy demand range corresponding to the required hydrogen generation rate are queried, and based on the first electric energy demand range and the second electric energy demand range, target electric energy data is screened through an electric energy optimization strategy; Based on the target electric energy data, each new hydrogen production parameter corresponding to the target electric energy data is queried in the parameter database of the hydrogen production equipment, and each new hydrogen production parameter is used as the target hydrogen production parameter of the hydrogen production equipment.

7. An optimization system for an adaptive hydrogen production equipment, characterized in that: The system comprises: An acquisition module is used to acquire current hydrogen production data of the hydrogen production equipment, current hydrogen production parameters of the hydrogen production equipment, and water source sensor information of the current water source collected by each sensor, and based on the current hydrogen production data, identify the current hydrogen production effect of the hydrogen production equipment through a hydrogen production evaluation strategy; an identification module, for identifying, when the hydrogen production effect does not meet the preset hydrogen production effect, the water source quality of the current water source and the water source hydrogen production state of the current water source through a water source identification network based on the water source sensor information, and identifying the influencing factor data of each hydrogen production influencing factor corresponding to the current water source based on the water source quality and the water source hydrogen production state; An adjustment module, configured to generate applicable hydrogen production information of the current water source through a hydrogen production map based on the influencing factor data of each of the hydrogen production influencing factors, and adjust the current hydrogen production parameters of the hydrogen production equipment based on the applicable hydrogen production information to obtain target hydrogen production parameters of the hydrogen production equipment; The iterative module is used to control the hydrogen production equipment to perform the hydrogen production task on the current water source based on the target hydrogen production parameters of the hydrogen production equipment, and return to execute the step of obtaining the current hydrogen production data of the hydrogen production equipment, the current hydrogen production parameters of the hydrogen production equipment, and the water source sensor information of the current water source collected by each sensor.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

Images