Intelligent control system and method for hydrogen and oxygen generating device

Abstract

The present invention discloses an intelligent control system and method for a hydrogen-oxygen generating device, belonging to the field of data intelligent analysis and control technology. The system includes: an operation data storage module, a digital analysis module, a time warning processing module and an intelligent control module; the output end of the operation data storage module is connected to the input end of the digital analysis module; the output end of the digital analysis module is connected to the input end of the time warning processing module; the output end of the time warning processing module is connected to the input end of the intelligent control module. The present invention can realize data analysis and processing of the electrolyte during the electrolysis process, replacing conventional manual experience settings or observations, reducing the failure rate of the electrolyte, and at the same time, considering the magnitude of the input, further improving the accuracy of the analysis results, and can increase the service life of the hydrogen-oxygen generating device, improve the user experience, and further improve the level of digitization and intelligence.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent data analysis and control, and in particular to an intelligent control system and method for a hydrogen and oxygen generating device. Background Art

[0002] The hydrogen and oxygen generator is an electrochemical device that uses water electrolysis to produce Brown's gas. The hydrogen and oxygen generator is mainly composed of an electrolysis system, a pressure control system, a purification system and a display system. Hydrogen is produced by electrolyzing water, and the produced oxygen is released into the atmosphere. It has the advantages of large electrolysis area, low cell temperature, good performance, large gas production and high purity.

[0003] However, during the electrolysis process, the electrolyte, as the core component of the entire hydrogen and oxygen generator, often has problems such as electrolyte failure and whether the electrolyte level is below the lower limit, which will cause the minute hydrogen production to fail to reach the predetermined rate after startup or take some time to reach the predetermined rate; and the current practice is often based on manual experience observation or setting the service life (generally replaced once every six months). During the entire use process, there is a lack of intelligent control means, which can easily cause equipment damage. In addition, in the field of intelligent analysis, due to the particularity of the hydrogen and oxygen generator itself, the failure rate of parts is much higher than the failure rate of electrolyte. Therefore, during the training process, the unbalanced sample input leads to the magnitude difference of the input value, which in turn leads to the low parameter influence of electrolyte failure during the fault training process, which makes it difficult to reflect seasonal and trend changes, resulting in inaccurate analysis of training results. Summary of the invention

[0004] The object of the present invention is to provide an intelligent control system and method for a hydrogen-oxygen generating device to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: an intelligent control method for a hydrogen and oxygen generating device, the method comprising the following steps:

[0006] S1. Constructing a historical operation database of the hydrogen-oxygen generating device, wherein the historical operation database includes the operating time of the hydrogen-oxygen generating device, the hydrogen production per unit time during operation, the fault time point and the corresponding fault type;

[0007] S2. Build an intelligent control analysis model based on the historical operation database, output the estimated continuous working time of the electrolyte, and feed it back to the data control port;

[0008] S3. Set the time alarm calendar. When the time reaches the system set threshold, the alarm information data is fed back to the administrator port to remind the administrator to add or replace the electrolyte of the hydrogen and oxygen generating device.

[0009] According to the above technical solution, in step S1, it also includes:

[0010] Constructing a historical operation data group, each group of data corresponds to a hydrogen and oxygen generating device, and the historical operation data group corresponds to a cycle, and the cycle refers to adding or replacing the electrolyte once;

[0011] The historical operation data group includes the operation time of the hydrogen and oxygen generating device in the cycle ; Hydrogen production per unit time during operation ; Failure time point ; Fault type ; Prioritize the screening of fault types, select the historical operation data group with electrolyte fault as the fault type, and delete the data of other fault types;

[0012] by As a unit time, record the hydrogen production per unit time up to the fault time point to form a hydrogen production sequence ;in, They respectively represent the hydrogen production per unit time up to the failure time point;

[0013] Then form a training data set: .

[0014] According to the above technical solution, the construction of the intelligent control analysis model includes:

[0015] Obtain the formed training data set, select N training data sets as basic data, N is a system setting constant; establish an analysis data set on any training data set ,in Refers to the operating time of the hydrogen and oxygen generating device corresponding to the analysis data group; Refers to time The average hydrogen production per unit time is 1000 hours; Refers to time Time and fault time point The time interval between them; set the hydrogen production threshold, randomly select U The analysis data set below the hydrogen production threshold is calculated, and U is the system setting constant to form and The relationship function between

[0016] Will Written in matrix form ,in ;

[0017] The matrix is ​​processed by removing the average value, that is, each data in each row is subtracted from the average value of the same row to form a new matrix G: ;

[0018] Find the covariance matrix for matrix G: ,in, Refers to the inverse matrix of matrix G;

[0019] Using eigenvalue decomposition to find the covariance matrix The eigenvalues ​​and eigenvectors of

[0020] The equation to be solved is constructed as ,in represents the eigenvalue; is the identity matrix; represents the eigenvector, which takes the general solution or ;

[0021] Take the eigenvalues ​​that satisfy the equation, select the solutions with the eigenvalues ​​from large to small as the priority, select two sets of solutions, and standardize them with the corresponding eigenvector solutions to form the characteristic matrix P. Take the first row of the characteristic matrix P and the matrix Multiply them together to form a matrix with one row and U columns. , to achieve data dimensionality reduction, based on the matrix The data within Establish a linear regression between With the matrix Linear regression expression for the data in ;

[0022] The parameters of the formed linear regression expression are selected to obtain the operating time of the hydrogen-oxygen generating device and the average hydrogen production per unit time in real time, and the time interval to the fault time point is inferred based on the parameters of the linear regression expression.

[0023] According to the above technical solution, in step S3, it also includes:

[0024] The inferred time interval to the fault time point is obtained, and a time alarm calendar is set. The threshold setting of the time alarm calendar includes:

[0025]

[0026] in, represents the threshold value set point of the time alarm calendar for period y; Represents the initial threshold of the time alarm calendar; , Refers to the time interval between the y-1th period, the yth period and the failure time point; , Represents the operating time of the hydrogen and oxygen generating device in the y-1th period and the yth period.

[0027] In the above technical solution, mainly because as some problems occur in the electrolyte, the threshold value can change with the advance amount of each warning time, which can improve the accuracy of the data and reduce equipment risks as much as possible.

[0028] An intelligent control system for a hydrogen-oxygen generating device, the system comprising: an operation data storage module, a digital analysis module, a time warning processing module and an intelligent control module;

[0029] The operation data storage module is used to construct a historical operation database of the hydrogen and oxygen generating device, and store the historical operation data of the hydrogen and oxygen generating device; the digital analysis module constructs an intelligent control analysis model based on the historical operation database, outputs the estimated continuous working time of the electrolyte, and feeds back to the data control port; the time warning processing module is used to set the time alarm calendar, and when the time reaches the system set threshold, the alarm information data is fed back to the administrator port; the intelligent control module is used to configure the electrolyte in advance, and when the administrator adds or replaces the electrolyte of the hydrogen and oxygen generating device, it is automatically transmitted to the administrator port;

[0030] The output end of the operation data storage module is connected to the input end of the digital analysis module; the output end of the digital analysis module is connected to the input end of the time warning processing module; the output end of the time warning processing module is connected to the input end of the intelligent control module.

[0031] According to the above technical solution, the historical operation database includes the operating time of the hydrogen-oxygen generating device, the hydrogen production per unit time during operation, the fault time point and the corresponding fault type.

[0032] According to the above technical solution, the digital analysis module includes a model building unit and a feedback unit;

[0033] The model building unit builds an intelligent control analysis model based on the historical operation database; the feedback unit outputs the estimated continuous working time of the electrolyte based on the intelligent control analysis model and feeds back to the data control port;

[0034] The output end of the model building unit is connected to the input end of the feedback unit.

[0035] According to the above technical solution, the time warning module includes a calendar setting unit and a threshold setting unit;

[0036] The calendar setting unit is used to set the time alarm calendar; the threshold setting unit continuously adjusts the alarm threshold based on periodic changes, and when the time reaches the system set threshold, the alarm information data is fed back to the administrator port;

[0037] The output end of the calendar setting unit is connected to the input end of the threshold setting unit.

[0038] According to the above technical solution, the intelligent control module includes an electrolyte configuration unit and a transmission unit;

[0039] The electrolyte configuration unit is used to configure the electrolyte in advance; the transmission unit is used to automatically transmit to the administrator port when the administrator adds or replaces the electrolyte of the hydrogen and oxygen generating device;

[0040] The output end of the electrolyte configuration unit is connected to the input end of the transmission unit.

[0041] Compared with the prior art, the beneficial effects achieved by the present invention are: the present invention can realize data analysis and processing of the electrolyte during the electrolysis process, replacing the conventional manual experience setting or observation, which can prevent problems before they occur and reduce the failure rate of the electrolyte. At the same time, considering the magnitude of the input, the accuracy of the analysis results is further improved, the service life of the hydrogen and oxygen generating device can be increased, the user experience is improved, and the level of digitization and intelligence is further improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0043] Figure 1 It is a flow chart of an intelligent control method of a hydrogen and oxygen generating device of the present invention. DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0045] See also Figure 1 In the first embodiment of the present invention, an intelligent control method for a hydrogen-oxygen generating device is provided, the method comprising: constructing a historical operation database of the hydrogen-oxygen generating device, wherein the historical operation database includes the operation time of the hydrogen-oxygen generating device, the hydrogen production per unit time during operation, the fault time point and the corresponding fault type;

[0046] Constructing a historical operation data group, each group of data corresponds to a hydrogen and oxygen generating device, and the historical operation data group corresponds to a cycle, and the cycle refers to adding or replacing the electrolyte once;

[0047] The historical operation data group includes the operation time of the hydrogen and oxygen generating device in the cycle ; Hydrogen production per unit time during operation ; Failure time point ; Fault type ; Prioritize the screening of fault types, select the historical operation data group with electrolyte fault as the fault type, and delete the data of other fault types;

[0048] by As a unit time, record the hydrogen production per unit time up to the fault time point to form a hydrogen production sequence ;in, They respectively represent the hydrogen production per unit time up to the failure time point;

[0049] Then form a training data set: .

[0050] Build intelligent control analysis model based on historical operation database, including:

[0051] Obtain the formed training data set, select N training data sets as basic data, N is a system setting constant; establish an analysis data set on any training data set ,in Refers to the operating time of the hydrogen and oxygen generating device corresponding to the analysis data group; Refers to time The average hydrogen production per unit time is 1000 hours; Refers to time Time and fault time point The time interval between them; set the hydrogen production threshold, randomly select U The analysis data set below the hydrogen production threshold is calculated, and U is the system setting constant to form and The relationship function between

[0052] Will Written in matrix form ,in ;

[0053] The matrix is ​​processed by removing the average value, that is, each data in each row is subtracted from the average value of the same row to form a new matrix G: ;

[0054] Find the covariance matrix for matrix G: ,in, Refers to the inverse matrix of matrix G;

[0055] Using eigenvalue decomposition to find the covariance matrix The eigenvalues ​​and eigenvectors of

[0056] The equation to be solved is constructed as ,in represents the eigenvalue; is the identity matrix; represents the eigenvector, which takes the general solution or ;

[0057] Take the eigenvalues ​​that satisfy the equation, select the solutions with the eigenvalues ​​from large to small as the priority, select two sets of solutions, and standardize them with the corresponding eigenvector solutions to form the characteristic matrix P. Take the first row of the characteristic matrix P and the matrix Multiply them together to form a matrix with one row and U columns. , to achieve data dimensionality reduction, based on the matrix The data within Establish a linear regression between With the matrix Linear regression expression for the data in ;

[0058] The parameters of the formed linear regression expression are selected to obtain the operating time of the hydrogen-oxygen generating device and the average hydrogen production per unit time in real time, and the time interval to the fault time point is inferred based on the parameters of the linear regression expression.

[0059] The inferred time interval to the fault time point is obtained, and a time alarm calendar is set. The threshold setting of the time alarm calendar includes:

[0060]

[0061] in, represents the threshold value set point of the time alarm calendar for period y; Represents the initial threshold of the time alarm calendar; , Refers to the time interval between the y-1th period, the yth period and the failure time point; , Represents the operating time of the hydrogen and oxygen generating device in the y-1th period and the yth period.

[0062] When the time reaches the system-set threshold, the alarm information data is fed back to the administrator port to remind the administrator to add or replace the electrolyte of the hydrogen and oxygen generating device.

[0063] In the second embodiment, an intelligent control system for a hydrogen-oxygen generating device is provided, the system comprising: an operation data storage module, a digital analysis module, a time warning processing module and an intelligent control module;

[0064] The operation data storage module is used to construct a historical operation database of the hydrogen and oxygen generating device, and store the historical operation data of the hydrogen and oxygen generating device; the digital analysis module constructs an intelligent control analysis model based on the historical operation database, outputs the estimated continuous working time of the electrolyte, and feeds back to the data control port; the time warning processing module is used to set the time alarm calendar, and when the time reaches the system set threshold, the alarm information data is fed back to the administrator port; the intelligent control module is used to configure the electrolyte in advance, and when the administrator adds or replaces the electrolyte of the hydrogen and oxygen generating device, it is automatically transmitted to the administrator port;

[0065] The output end of the operation data storage module is connected to the input end of the digital analysis module; the output end of the digital analysis module is connected to the input end of the time warning processing module; the output end of the time warning processing module is connected to the input end of the intelligent control module.

[0066] The historical operation database includes the operation time of the hydrogen-oxygen generating device, the hydrogen production per unit time during operation, the fault time point and the corresponding fault type.

[0067] The digital analysis module includes a model building unit and a feedback unit;

[0068] The model building unit builds an intelligent control analysis model based on the historical operation database; the feedback unit outputs the estimated continuous working time of the electrolyte based on the intelligent control analysis model and feeds back to the data control port;

[0069] The output end of the model building unit is connected to the input end of the feedback unit.

[0070] The time warning module includes a calendar setting unit and a threshold setting unit;

[0071] The calendar setting unit is used to set the time alarm calendar; the threshold setting unit continuously adjusts the alarm threshold based on periodic changes, and when the time reaches the system set threshold, the alarm information data is fed back to the administrator port;

[0072] The output end of the calendar setting unit is connected to the input end of the threshold setting unit.

[0073] The intelligent control module includes an electrolyte configuration unit and a transmission unit;

[0074] The electrolyte configuration unit is used to configure the electrolyte in advance; the transmission unit is used to automatically transmit to the administrator port when the administrator adds or replaces the electrolyte of the hydrogen and oxygen generating device;

[0075] The output end of the electrolyte configuration unit is connected to the input end of the transmission unit.

[0076] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0077] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent control method for a hydrogen and oxygen generating device, characterized in that: The method comprises the following steps: S1. Constructing a historical operation database of the hydrogen-oxygen generating device, wherein the historical operation database includes the operating time of the hydrogen-oxygen generating device, the hydrogen production per unit time during operation, the fault time point and the corresponding fault type; S2. Build an intelligent control analysis model based on the historical operation database, output the estimated continuous working time of the electrolyte, and feed it back to the data control port; S3. Set the time alarm calendar. When the time reaches the system set threshold, the alarm information data is fed back to the administrator port to remind the administrator to add or replace the electrolyte of the hydrogen and oxygen generating device.

2. The intelligent control method of a hydrogen and oxygen generating device according to claim 1, characterized in that: In step S1, it also includes: Constructing a historical operation data group, each group of data corresponds to a hydrogen and oxygen generating device, and the historical operation data group corresponds to a cycle, and the cycle refers to adding or replacing the electrolyte once; The historical operation data group includes the operation time of the hydrogen and oxygen generating device in the cycle ; Hydrogen production per unit time during operation ; Failure time point ; Fault type ; Prioritize the screening of fault types, select the historical operation data group with electrolyte fault as the fault type, and delete the data of other fault types; by As a unit time, record the hydrogen production per unit time up to the fault time point to form a hydrogen production sequence ;in, They respectively represent the hydrogen production per unit time up to the failure time point; Then form a training data set: .

3. The intelligent control method of a hydrogen and oxygen generating device according to claim 2, characterized in that: The constructing of the intelligent control analysis model comprises: Obtain the formed training data set, select N training data sets as basic data, N is a system setting constant; establish an analysis data set on any training data set ,in Refers to the operating time of the hydrogen and oxygen generating device corresponding to the analysis data group; Refers to time The average hydrogen production per unit time is 1000 s; Refers to time Time and fault time point The time interval between them; set the hydrogen production threshold, randomly select U The analysis data set below the hydrogen production threshold is calculated, and U is the system setting constant to form and The relationship function between Will Written in matrix form ,in ; The matrix is ​​processed by removing the average value, that is, each data in each row is subtracted from the average value of the same row to form a new matrix G: ; Find the covariance matrix for matrix G: ,in, Refers to the inverse matrix of matrix G; Using eigenvalue decomposition to find the covariance matrix The eigenvalues ​​and eigenvectors of The equation to be solved is constructed as ,in represents the eigenvalue; is the identity matrix; represents the eigenvector, which takes the general solution or ; Take the eigenvalues ​​that satisfy the equation, select the solutions with the eigenvalues ​​from large to small as the priority, select two sets of solutions, and standardize them with the corresponding eigenvector solutions to form the characteristic matrix P. Take the first row of the characteristic matrix P and the matrix Multiply them together to form a matrix with one row and U columns. , to achieve data dimensionality reduction, based on the matrix The data within Establish a linear regression between With the matrix Linear regression expression for the data in ; The parameters of the formed linear regression expression are selected to obtain the operating time of the hydrogen-oxygen generating device and the average hydrogen production per unit time in real time, and the time interval to the fault time point is inferred based on the parameters of the linear regression expression.

4. The intelligent control method of a hydrogen and oxygen generating device according to claim 3 is characterized in that: In step S3, it also includes: The inferred time interval to the fault time point is obtained, and a time alarm calendar is set. The threshold setting of the time alarm calendar includes: in, represents the threshold value set point of the time alarm calendar for period y; Represents the initial threshold of the time alarm calendar; , Refers to the time interval between the y-1th period, the yth period and the failure time point; , Represents the operating time of the hydrogen and oxygen generating device in the y-1th period and the yth period.

5. An intelligent control system for a hydrogen and oxygen generating device, characterized in that: The system includes: an operation data storage module, a digital analysis module, a time warning processing module and an intelligent control module; The operation data storage module is used to construct a historical operation database of the hydrogen and oxygen generating device, and store the historical operation data of the hydrogen and oxygen generating device; the digital analysis module constructs an intelligent control analysis model based on the historical operation database, outputs the estimated continuous working time of the electrolyte, and feeds back to the data control port; the time warning processing module is used to set the time alarm calendar, and when the time reaches the system set threshold, the alarm information data is fed back to the administrator port; the intelligent control module is used to configure the electrolyte in advance, and when the administrator adds or replaces the electrolyte of the hydrogen and oxygen generating device, it is automatically transmitted to the administrator port; The output end of the operation data storage module is connected to the input end of the digital analysis module; the output end of the digital analysis module is connected to the input end of the time warning processing module; the output end of the time warning processing module is connected to the input end of the intelligent control module.

6. The intelligent control system of a hydrogen and oxygen generating device according to claim 5, characterized in that: The historical operation database includes the operation time of the hydrogen-oxygen generating device, the hydrogen production per unit time during operation, the fault time point and the corresponding fault type.

7. The intelligent control system of a hydrogen and oxygen generating device according to claim 5, characterized in that: The digital analysis module includes a model building unit and a feedback unit; The model building unit builds an intelligent control analysis model based on the historical operation database; the feedback unit outputs the estimated continuous working time of the electrolyte based on the intelligent control analysis model and feeds back to the data control port; The output end of the model building unit is connected to the input end of the feedback unit.

8. The intelligent control system of the hydrogen and oxygen generating device according to claim 5 is characterized in that: The time warning module includes a calendar setting unit and a threshold setting unit; The calendar setting unit is used to set the time alarm calendar; the threshold setting unit continuously adjusts the alarm threshold based on periodic changes, and when the time reaches the system set threshold, the alarm information data is fed back to the administrator port; The output end of the calendar setting unit is connected to the input end of the threshold setting unit.

9. The intelligent control system of a hydrogen and oxygen generating device according to claim 5, characterized in that: The intelligent control module includes an electrolyte configuration unit and a transmission unit; The electrolyte configuration unit is used to configure the electrolyte in advance; the transmission unit is used to automatically transmit to the administrator port when the administrator adds or replaces the electrolyte of the hydrogen and oxygen generating device; The output end of the electrolyte configuration unit is connected to the input end of the transmission unit.

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