CN117358424B - Electric dust removal flashover current limiting control method and device - Google Patents
Electric dust removal flashover current limiting control method and device Download PDFInfo
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Abstract
The invention discloses a method and a device for controlling electric dust removal flashover current limiting, which relate to the technical field of intelligent control, and the method comprises the following steps: quantitatively analyzing the electric dust removal signal information based on the electric dust removal power consumption fitting function, and outputting electric dust removal power consumption information; constructing a flashover characteristic database, taking the flashover characteristic database as an electric dust removal flashover control space, taking flashover characteristic parameters as optimizing constraint parameters to perform global optimization, and outputting dust removal high-voltage vibration synergistic parameters; a current-limiting impact-resistant protection device is additionally arranged in the high-frequency voltage device; and the high-frequency power supply control equipment performs fusion control analysis based on the electric dust removal power consumption information, the dust removal high-voltage vibration cooperative parameter and the current-limiting impact-resistant protection device to determine an electric dust removal flashover current-limiting control strategy. The intelligent analysis of the electric precipitation flashover current limiting control strategy is achieved, the precise rationality and the control timeliness of flashover current limiting control are improved, the dust removal safety and stability are ensured, and the technical effect of electric precipitation efficiency is further improved.
Description
Technical Field
The invention relates to the technical field of intelligent control, in particular to an electric precipitation flashover current limiting control method and device.
Background
The high-frequency power supply dust remover is an electric dust remover adopting a full-high-frequency power supply, has the advantages of high dust removal efficiency, large treatment smoke volume, stable operation, simple maintenance and the like in the dust removal field, is widely applied to flue gas dust removal in industries such as metallurgy, electric power, cement, chemical industry and the like, and can play a role in dust removal and environmental protection. When the high-frequency power supply dust remover removes dust, the output voltage reaches a critical point, and the cathode and anode plates in an electric field are broken down, and the phenomenon of huge discharge sound and spark is accompanied, which is called flashover. In order to ensure safe and stable operation of the electric dust collector, accurate and effective flashover current limiting control needs to be carried out on the electric dust collector. However, the flashover current limiting control in the prior art is not accurate and reasonable enough, so that the dust removal efficiency is reduced.
Disclosure of Invention
The application solves the technical problems that the flashover current limiting control is not accurate and reasonable enough in the prior art, and further the dust removal efficiency is reduced, achieves the intelligent analysis of the flashover current limiting control strategy of the electric dust removal, improves the precise rationality and the control timeliness of the flashover current limiting control, ensures the dust removal safety and stability, and further improves the technical effect of the electric dust removal efficiency.
In view of the above problems, the invention provides a method and a device for controlling electric precipitation flashover current limiting.
In a first aspect, the present application provides a method for controlling electric precipitation flashover current limiting, the method comprising: the method comprises the steps of monitoring and obtaining electric dust removal signal information through a signal acquisition module, wherein the electric dust removal signal information comprises boiler load, outlet dust and system air quantity; acquiring an electric dust removal power consumption fitting function, quantitatively analyzing the electric dust removal signal information based on the electric dust removal power consumption fitting function, and outputting electric dust removal power consumption information; constructing a flashover characteristic database, wherein the flashover characteristic database comprises flashover voltage, flashover frequency, flashover time and high-voltage vibration cooperative parameters; taking the flashover characteristic database as an electric dust removal flashover control space, and taking flashover characteristic parameters as optimizing constraint parameters; performing global optimization in the electric dust removal flashover control space based on the optimization constraint parameters, and outputting dust removal high-voltage vibration cooperative parameters; the method comprises the steps of obtaining high-frequency power supply control equipment, wherein the high-frequency power supply control equipment is used for controlling a high-frequency voltage device to provide high-voltage static electricity and integrated vibration logic control units for an electric dust collector, and a current-limiting shock-resistant protection device is additionally arranged in the high-frequency voltage device; and the high-frequency power supply control equipment performs fusion control analysis based on the electric dust removal power consumption information, the dust removal high-voltage vibration cooperative parameter and the current-limiting impact-resistant protection device to determine an electric dust removal flashover current-limiting control strategy.
In another aspect, the present application further provides an apparatus for controlling current limiting of an electric precipitation flashover, the apparatus comprising: the electric dust removal signal acquisition module is used for monitoring and acquiring electric dust removal signal information through the signal acquisition module, wherein the electric dust removal signal information comprises boiler load, outlet dust and system air quantity; the quantitative analysis module is used for obtaining an electric dust removal power consumption fitting function, quantitatively analyzing the electric dust removal signal information based on the electric dust removal power consumption fitting function and outputting electric dust removal power consumption information; the characteristic database construction module is used for constructing an flashover characteristic database, and the flashover characteristic database comprises flashover voltage, flashover frequency, flashover time and high-voltage vibration cooperative parameters; the optimizing parameter obtaining module is used for taking the flashover characteristic database as an electric dust removal flashover control space and taking the flashover characteristic parameter as an optimizing constraint parameter; the global optimizing module is used for carrying out global optimization in the electric dust removal flashover control space based on the optimizing constraint parameters and outputting dust removal high-voltage vibration cooperative parameters; the control equipment acquisition module is used for acquiring high-frequency power supply control equipment, wherein the high-frequency power supply control equipment is used for controlling a high-frequency voltage device to provide high-voltage static electricity for the electric dust collector and an integrated rapping logic control unit, and a current-limiting impact-resistant protection device is additionally arranged in the high-frequency voltage device; the fusion control analysis module is used for the high-frequency power supply control equipment to carry out fusion control analysis based on the electric dust removal power consumption information, the dust removal high-voltage vibration cooperative parameters and the current-limiting impact-resistant protection device, and determine an electric dust removal flashover current-limiting control strategy.
In a third aspect, the present application provides an electronic device comprising a bus, a transceiver, a memory, a processor and a computer program stored on the memory and executable on the processor, the transceiver, the memory and the processor being connected by the bus, the computer program when executed by the processor implementing the steps of any of the methods described above.
In a fourth aspect, the application also provides a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of any of the methods described above.
One or more technical schemes provided by the application have at least the following technical effects or advantages:
The electric dust removal signal information is obtained through monitoring by the signal acquisition module, and then the electric dust removal signal information is quantitatively analyzed based on the electric dust removal power consumption fitting function, so that the electric dust removal power consumption information is output; constructing a flashover characteristic database, taking the flashover characteristic database as an electric dust removal flashover control space, carrying out global optimization by taking flashover characteristic parameters as optimization constraint parameters, and outputting dust removal high-voltage vibration synergistic parameters; the method comprises the steps of obtaining high-frequency power supply control equipment, wherein the high-frequency power supply control equipment is used for controlling a high-frequency voltage device to provide high-voltage static electricity and integrated vibration logic control units for an electric dust collector, and a current-limiting shock-resistant protection device is additionally arranged in the high-frequency voltage device; and the high-frequency power supply control equipment performs fusion control analysis based on the electric dust removal power consumption information, the dust removal high-voltage vibration cooperative parameter and the current-limiting impact-resistant protection device to determine the technical scheme of the electric dust removal flashover current-limiting control strategy. And further, an intelligent analysis electric precipitation flashover current limiting control strategy is achieved, the precise rationality and control timeliness of flashover current limiting control are improved, the dust removal safety and stability are ensured, and the technical effect of electric precipitation efficiency is improved.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.
Drawings
FIG. 1 is a schematic flow chart of a method for controlling electric precipitation flashover current limiting according to the present application;
FIG. 2 is a schematic flow chart of obtaining an electric dust removal power consumption fitting function in an electric dust removal flashover current limiting control method according to the present application;
fig. 3 is a schematic structural diagram of an electric precipitation flashover current limiting control device according to the present application;
Fig. 4 is a schematic structural view of an exemplary electronic device of the present application.
Reference numerals illustrate: the system comprises an electric dust removal signal acquisition module 11, a quantitative analysis module 12, a characteristic database construction module 13, an optimizing parameter acquisition module 14, a global optimizing module 15, a control device acquisition module 16, a fusion control analysis module 17, a bus 1110, a processor 1120, a transceiver 1130, a bus interface 1140, a memory 1150, an operating device 1151, an application 1152 and a user interface 1160.
Detailed Description
In the description of the present application, those skilled in the art will appreciate that the present application may be embodied as methods, apparatus, electronic devices, and computer-readable storage media. Accordingly, the present application may be embodied in the following forms: complete hardware, complete software (including firmware, resident software, micro-code, etc.), a combination of hardware and software. Furthermore, in some embodiments, the application may also be embodied in the form of a computer program product in one or more computer-readable storage media, which contain computer program code.
Any combination of one or more computer-readable storage media may be employed by the computer-readable storage media described above. The computer-readable storage medium includes: an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor apparatus, device, or means, or any combination thereof. More specific examples of the computer readable storage medium include the following: portable computer magnetic disks, hard disks, random access memories, read-only memories, erasable programmable read-only memories, flash memories, optical fibers, optical disk read-only memories, optical storage devices, magnetic storage devices, or any combination thereof. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution apparatus, device, or apparatus.
The technical scheme of the application obtains, stores, uses, processes and the like the data, which all meet the relevant regulations of national laws.
The application provides a method, a device and electronic equipment through flow charts and/or block diagrams.
It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions. These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
These computer readable program instructions may also be stored in a computer readable storage medium that can cause a computer or other programmable data processing apparatus to function in a particular manner. Thus, instructions stored in a computer-readable storage medium produce an instruction means which implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
The present application will be described below with reference to the drawings in the present application.
Example 1
As shown in fig. 1, the application provides a method for controlling electric dust removal flashover current limiting, which comprises the following steps:
Step S1: the method comprises the steps of monitoring and obtaining electric dust removal signal information through a signal acquisition module, wherein the electric dust removal signal information comprises boiler load, outlet dust and system air quantity;
Specifically, the high-frequency power supply dust remover is an electric dust remover adopting a full-high-frequency power supply, has the advantages of high dust removal efficiency, large treatment smoke volume, stable operation, simple maintenance and the like in the dust removal field, is widely applied to flue gas dust removal in industries such as metallurgy, electric power, cement, chemical industry and the like, and can play a role in dust removal and environmental protection. When the high-frequency power supply dust remover removes dust, the output voltage reaches a critical point, and the cathode and anode plates in an electric field are broken down, and the phenomenon of huge discharge sound and spark is accompanied, which is called flashover. In order to ensure safe and stable operation of the electric dust collector, accurate and effective flashover current limiting control needs to be carried out on the electric dust collector.
In order to realize the real-time control to the electrostatic precipitator, carry out real-time supervision and gather to electric dust removal signal information through signal acquisition module, wherein, signal acquisition module carries out dust emission information perception through the sensor group, again passes through signal cable transmission to signal acquisition module carries out the feedback record, and the acquisition obtains electric dust removal signal information is the factor information that is correlated with the dust emission volume, including boiler load, export dust and system amount of wind etc. directly influences the dust emission volume, provides data basis for follow-up electric dust removal consumption quantization analysis.
Step S2: acquiring an electric dust removal power consumption fitting function, quantitatively analyzing the electric dust removal signal information based on the electric dust removal power consumption fitting function, and outputting electric dust removal power consumption information;
As shown in fig. 2, further, the step of obtaining the fitting function of the electric dust removal power consumption further includes:
constructing an electric dust removal test database, wherein the electric dust removal test database comprises a historical boiler load signal, an outlet dust signal, a system air quantity signal and an electric dust removal power consumption result;
Obtaining a multiple linear regression function, wherein the multiple linear regression function takes the historical boiler load signal, the outlet dust signal and the system air quantity signal as independent variables, and the electric dust removal power consumption result is a dependent variable;
performing data fitting on the independent variable and the dependent variable through the multiple linear regression function to obtain a basic electric dust removal power consumption fitting function;
And carrying out inspection optimization on the basic electric dust removal power consumption fitting function to obtain the electric dust removal power consumption fitting function.
Further, the step of performing test optimization on the basic electric precipitation power consumption fitting function further comprises the following steps:
carrying out regression test on the basic electric precipitation power consumption fitting function to determine the function fitting reliability;
Setting a credibility reference value, and if the credibility of the function fitting does not reach the credibility reference value, carrying out loss analysis on the basic electric precipitation power consumption fitting function to obtain a function fitting loss value;
And updating, correcting and optimizing the basic electric precipitation power consumption fitting function based on the function fitting loss value.
Specifically, for intelligent fitting analysis of electric dust removal power consumption, an electric dust removal test database is constructed through historical electric dust removal monitoring data information, and comprises historical boiler load signals, outlet dust signals, system air quantity signals and electric dust removal power consumption results, wherein the electric dust removal power consumption results can be represented through power supply voltage and current. And obtaining a multiple linear regression function, wherein the multiple linear regression function takes the historical boiler load signal, the outlet dust signal and the system air quantity signal as multifactor independent variables, the electric dust removal power consumption result is a dependent variable, and the dependent variable is related to a plurality of independent variable factors. And performing data fitting on the independent variable and the dependent variable through the multiple linear regression function, and obtaining a basic electric dust removal power consumption fitting function through regression analysis fitting, wherein the basic electric dust removal power consumption fitting function is a multiple regression model for predicting electric dust removal power consumption.
In order to ensure the fitting accuracy of the regression model, the basic electric precipitation power consumption fitting function is checked and optimized, the regression is firstly performed on the basic electric precipitation power consumption fitting function, and the function fitting accuracy is checked by means of judging coefficient detection, regression coefficient significance detection, fitting goodness detection and the like, so that the function fitting reliability is determined according to the checking result, and the higher the reliability is, the higher the function fitting accuracy is. And setting a credibility reference value, wherein the credibility reference value is a regression function fitting accuracy standard, and can be set by self, and if the function fitting credibility does not reach the credibility reference value, the accuracy of the regression function is not up to standard. And carrying out loss analysis on the basic electric precipitation power consumption fitting function, and carrying out loss data analysis through a verification set, namely taking the error of the predicted value and the true value of the function as the function fitting loss value. And updating, correcting and optimizing the basic electric dust removal power consumption fitting function based on the function fitting loss value, and training and updating the fitting function according to the loss value to obtain an optimized electric dust removal power consumption fitting function. And the accuracy of the optimized fitting function reaches the standard, the relation between the dust emission multifactor and the electric dust removal power consumption function is quantized, and the prediction analysis accuracy of the electric dust removal power consumption is improved.
Step S3: constructing a flashover characteristic database, wherein the flashover characteristic database comprises flashover voltage, flashover frequency, flashover time and high-voltage vibration cooperative parameters;
Further, the step of constructing the flashover characteristic database further comprises the following steps:
Acquiring dust removal process control factors, wherein the dust removal process control factors comprise power supply operation voltage, power supply operation current, a vibration period, vibration intensity and vibration time;
Carrying out parameter design and orthogonal arrangement on the dust removal process control factors to obtain a dust removal control parameter table;
carrying out dust removal flashover test by the high-frequency power supply control equipment based on the dust removal control parameter table to obtain electric dust removal flashover characteristic parameter information;
and constructing the flashover characteristic database according to the dust removal control parameter table and the electric dust removal flashover characteristic parameter information.
Specifically, when the high-frequency power supply dust remover removes dust, the output voltage reaches a critical point, the cathode and anode plates in the electric field are broken down, and huge discharge sound and spark phenomena are accompanied, which are called flashover, so that the safe and stable operation of the electric dust remover is ensured, and the precise and effective flashover current limiting control is required. Firstly, a dust removal process control factor is obtained, wherein the dust removal process control factor is a process influence factor related to electric dust removal flashover, and comprises a power supply running voltage, a power supply running current, a rapping period, a rapping intensity, a rapping time and the like. The expert group carries out specific parameter design on the dust removal process control factors through electric dust removal experience, and then carries out orthogonal arrangement on design parameters, so that a dust removal control parameter table is obtained through combination, and the comprehensiveness of parameter test arrangement is increased.
And carrying out dust removal flashover test by the high-frequency power supply control equipment based on the dust removal control parameter table to obtain electric dust removal flashover characteristic parameter information, wherein the electric dust removal flashover characteristic parameter information comprises flashover voltage, flashover frequency and flashover time parameters. And constructing a flashover characteristic database according to the dust removal control parameter table and the electric dust removal flashover characteristic parameter information, and taking the flashover characteristic database as a follow-up dust removal control parameter optimizing basis. By means of the flashover characteristic multi-factor test, the comprehensive flashover characteristic test is improved, and further the dust removal control parameter analysis accuracy is improved.
Step S4: taking the flashover characteristic database as an electric dust removal flashover control space, and taking flashover characteristic parameters as optimizing constraint parameters;
Step S5: performing global optimization in the electric dust removal flashover control space based on the optimization constraint parameters, and outputting dust removal high-voltage vibration cooperative parameters;
further, the step of the application further comprises the steps of:
Setting a global search step length, and carrying out parameter search in the electric precipitation flashover control space according to the optimizing constraint parameters and the global search step length to obtain a global flashover control parameter set;
constructing an electric dust removal fitness function, and obtaining a global parameter fitness set of the global flashover control parameter set based on the electric dust removal fitness function;
Gradient ascending calculation is carried out on the global parameter fitness set, and a search direction parameter set of the maximum gradient ascending direction is obtained based on gradient ascending result reverse matching;
setting a local searching step length, carrying out parameter searching on the searching direction parameter set based on the electric precipitation fitness function and the local searching step length until the preset iteration times are reached, and outputting the dedusting high-voltage vibration synergistic parameter.
Further, the electric precipitation fitness function specifically includes:
Wherein k 1 represents a dust removal effect weight, g 1 represents an energy saving effect weight, k 2 represents an energy saving effect weight, g 2 represents an energy saving effect empirical function, x i represents an ith process control parameter, and the sum of the weights k 1 and k 2 is 1.
Specifically, the flashover characteristic database is used as an electric dust removal flashover control space, flashover characteristic parameters are used as optimizing constraint parameters, and global optimization is performed in the electric dust removal flashover control space based on the optimizing constraint parameters. Firstly setting a global search step length, wherein the global search step length is a parameter optimizing step length in each search direction in a control space, and carrying out parameter random search in each direction in the electric precipitation flashover control space according to the optimizing constraint parameters and the global search step length to obtain a global flashover control parameter set. An electric dust removal fitness function is constructed, and the electric dust removal fitness function is used for evaluating the optimization degree of flashover control parameters and specifically comprises the following steps: Wherein k 1 represents the weight of the dedusting effect, g 1 is an empirical function of the dedusting effect, the dedusting effect is related to flashover characteristic parameters, the flashover characteristic parameters are reasonably controlled, and the electric dedusting effect can be improved; k 2 represents energy-saving effect weight, g 2 is an energy-saving effect empirical function, x i is an ith process control parameter, the sum of the weights of k 1 and k 2 is 1, and the optimization degree analysis is performed on flashover control parameters by combining the dust removal effect and the dust removal energy-saving effect.
And carrying out adaptability calculation on each control parameter in the global flashover control parameter set based on the electric precipitation adaptability function to obtain a global parameter adaptability set corresponding to the global flashover control parameter set. And performing gradient ascending calculation on the global parameter fitness set, namely performing gradient calculation on fitness ascending trends in all directions, and obtaining gradient ascending calculation results in all parameter directions. And performing descending order arrangement based on the gradient ascending result, screening the direction with the largest gradient ascending direction, and reversely matching to obtain a searching direction parameter set corresponding to the largest gradient ascending direction. Setting a local search step length, wherein the local search step length is a parameter optimizing step length in the screening search direction, and the local search step length is smaller than the global search step length.
And carrying out local refinement parameter searching on the searching direction parameter set based on the local searching step length, and carrying out fitness evaluation on the local searching parameter according to the electric precipitation fitness function until the preset iteration times are reached, wherein the preset iteration times can be set by self, and the dedusting high-voltage vibration synergistic parameter with the maximum output fitness is evaluated and is the optimal synergistic control parameter, and comprises a power supply running voltage, a power supply running current, a vibration period, vibration strength, vibration time and the like. The optimization analysis of the cooperative control parameters is realized by combining the global searching step length and the local searching step length, the cooperative work of high voltage and vibration is intelligently optimized, the precise rationality and the control timeliness of flashover current limiting control are improved, and the maximization of the electric precipitation efficiency is ensured.
Step S6: the method comprises the steps of obtaining high-frequency power supply control equipment, wherein the high-frequency power supply control equipment is used for controlling a high-frequency voltage device to provide high-voltage static electricity and integrated vibration logic control units for an electric dust collector, and a current-limiting shock-resistant protection device is additionally arranged in the high-frequency voltage device;
Specifically, a high-frequency power supply control device is obtained, and the high-frequency power supply control device is used for controlling a high-frequency voltage device to provide high-voltage static electricity for the electric dust collector, integrates a rapping logic control unit and has a plurality of rapping control functions. In the power-off vibration application, in order to adapt to the current impact of a high-frequency power supply transformer when repeatedly starting and stopping and the overcurrent impact of a protection transformer when spark flashover occurs in an electric field, a current-limiting impact-resistant protection device is additionally arranged in the high-frequency voltage transformer and is used for effectively reducing the overcurrent and peak current amplitude, so that the purpose of protecting the transformer and power loop elements is achieved.
Step S7: and the high-frequency power supply control equipment performs fusion control analysis based on the electric dust removal power consumption information, the dust removal high-voltage vibration cooperative parameter and the current-limiting impact-resistant protection device to determine an electric dust removal flashover current-limiting control strategy.
Further, the step of determining the electric dust removal flashover current limiting control strategy further comprises the following steps:
carrying out criticality analysis on the electric dust removal power consumption information and the dust removal high-voltage vibration cooperative parameters through an electric dust removal expert group to determine dust removal criticality distribution information;
based on the dust removal criticality distribution information, carrying out fusion calculation on the electric dust removal power consumption information and the dust removal high-voltage vibration synergistic parameter to obtain an electric dust removal flashover control parameter;
setting rated current of the protector according to the current-limiting impact-resistant protection device;
And determining the electric dust removal flashover current limiting control strategy based on the electric dust removal flashover control parameters and the rated current of the protector.
Specifically, the high-frequency power supply control device performs fusion analysis on the electric dust removal flashover current limiting control parameters based on the electric dust removal power consumption information, the dust removal high-voltage vibration cooperative parameters and the current limiting impact resistance protection device. Firstly, carrying out criticality analysis on the electric dust removal power consumption information and the dust removal high-voltage vibration cooperative parameters through an electric dust removal expert group, namely carrying out weight distribution on fitting power consumption information and optimizing cooperative control parameters, carrying out experience weight assignment through the expert group, and then carrying out weighted calculation on each expert assignment result to determine dust removal criticality distribution information, namely weight assignment distribution results. And carrying out fusion calculation on the electric dust removal power consumption information and the dust removal high-voltage vibration cooperative parameters based on the dust removal criticality distribution information, and weighting to obtain electric dust removal flashover control parameters.
Meanwhile, according to the current-limiting impact-resistant protection device, rated current of a protector is set, and the rated current of the protector is set according to a high-frequency transformer, so that the purpose of protecting the transformer and power loop elements is achieved. And determining an electric dust removal flashover current limiting control strategy based on the electric dust removal flashover control parameter and the rated current of the protector, wherein the electric dust removal flashover current limiting control strategy is used for controlling the electric dust removal flashover parameter according to the electric dust removal flashover control parameter, and simultaneously, effectively reducing the over current and the peak current amplitude based on the rated current of the protector. And the intelligent analysis of the electric precipitation flashover current limiting control strategy ensures the safety and stability of the dust removal, thereby improving the electric precipitation efficiency.
In summary, the method and the device for controlling the electric precipitation flashover current limiting provided by the application have the following technical effects:
The electric dust removal signal information is obtained through monitoring by the signal acquisition module, and then the electric dust removal signal information is quantitatively analyzed based on the electric dust removal power consumption fitting function, so that the electric dust removal power consumption information is output; constructing a flashover characteristic database, taking the flashover characteristic database as an electric dust removal flashover control space, carrying out global optimization by taking flashover characteristic parameters as optimization constraint parameters, and outputting dust removal high-voltage vibration synergistic parameters; the method comprises the steps of obtaining high-frequency power supply control equipment, wherein the high-frequency power supply control equipment is used for controlling a high-frequency voltage device to provide high-voltage static electricity and integrated vibration logic control units for an electric dust collector, and a current-limiting shock-resistant protection device is additionally arranged in the high-frequency voltage device; and the high-frequency power supply control equipment performs fusion control analysis based on the electric dust removal power consumption information, the dust removal high-voltage vibration cooperative parameter and the current-limiting impact-resistant protection device to determine the technical scheme of the electric dust removal flashover current-limiting control strategy. And further, an intelligent analysis electric precipitation flashover current limiting control strategy is achieved, the precise rationality and control timeliness of flashover current limiting control are improved, the dust removal safety and stability are ensured, and the technical effect of electric precipitation efficiency is improved.
Example two
Based on the same inventive concept as the method for controlling electric precipitation flashover current limiting in the foregoing embodiment, the present invention further provides an electric precipitation flashover current limiting control device, as shown in fig. 3, where the device includes:
The electric dust removal signal acquisition module 11 is used for monitoring and acquiring electric dust removal signal information through the signal acquisition module, wherein the electric dust removal signal information comprises boiler load, outlet dust and system air quantity;
the quantitative analysis module 12 is used for obtaining an electric dust removal power consumption fitting function, quantitatively analyzing the electric dust removal signal information based on the electric dust removal power consumption fitting function, and outputting electric dust removal power consumption information;
A characteristic database construction module 13, configured to construct a flashover characteristic database, where the flashover characteristic database includes flashover voltage, flashover frequency, flashover time, and high voltage rapping cooperative parameters;
the optimizing parameter obtaining module 14 is configured to use the flashover characteristic database as an electric dust removal flashover control space, and use the flashover characteristic parameter as an optimizing constraint parameter;
The global optimizing module 15 is used for performing global optimization in the electric dust removal flashover control space based on the optimizing constraint parameters and outputting dust removal high-voltage vibration cooperative parameters;
The control device acquisition module 16 is used for acquiring high-frequency power supply control equipment, wherein the high-frequency power supply control equipment is used for controlling a high-frequency voltage device to provide high-voltage static electricity and integrated rapping logic control units for the electric dust collector, and a current-limiting impact-resistant protection device is additionally arranged in the high-frequency voltage device;
The fusion control analysis module 17 is used for the high-frequency power supply control equipment to carry out fusion control analysis based on the electric dust removal power consumption information, the dust removal high-voltage vibration cooperative parameters and the current-limiting impact-resistant protection device, and determine an electric dust removal flashover current-limiting control strategy.
Further, the device further comprises:
the test database construction unit is used for constructing an electric dust removal test database, and the electric dust removal test database comprises a historical boiler load signal, an outlet dust signal, a system air quantity signal and an electric dust removal power consumption result;
The regression function obtaining unit is used for obtaining a multiple linear regression function, wherein the multiple linear regression function takes the historical boiler load signal, the outlet dust signal and the system air quantity signal as independent variables, and the electric dust removal power consumption result is a dependent variable;
the data fitting unit is used for performing data fitting on the independent variable and the dependent variable through the multiple linear regression function to obtain a basic electric dust removal power consumption fitting function;
and the test optimization unit is used for carrying out test optimization on the basic electric dust removal power consumption fitting function to obtain the electric dust removal power consumption fitting function.
Further, the device further comprises:
The regression testing unit is used for carrying out regression testing on the basic electric precipitation power consumption fitting function and determining the function fitting reliability;
The loss analysis unit is used for setting a credibility reference value, and if the credibility of the function fitting does not reach the credibility reference value, the loss analysis is carried out on the basic electric precipitation power consumption fitting function, so as to obtain a function fitting loss value;
and the updating correction optimization unit is used for updating correction optimization of the basic electric dust removal power consumption fitting function based on the function fitting loss value.
Further, the device further comprises:
the control factor acquisition unit is used for acquiring dust removal process control factors, wherein the dust removal process control factors comprise power supply operation voltage, power supply operation current, vibration period, vibration intensity and vibration time;
The control parameter table obtaining unit is used for carrying out parameter design and orthogonal arrangement on the dust removal process control factors to obtain a dust removal control parameter table;
The dust-removing flashover testing unit is used for carrying out dust-removing flashover testing by the high-frequency power supply control equipment based on the dust-removing control parameter table to obtain electric dust-removing flashover characteristic parameter information;
and the characteristic database construction unit is used for constructing the flashover characteristic database according to the dust removal control parameter table and the electric dust removal flashover characteristic parameter information.
Further, the device further comprises:
the parameter searching unit is used for setting a global searching step length, and carrying out parameter searching in the electric precipitation flashover control space according to the optimizing constraint parameter and the global searching step length to obtain a global flashover control parameter set;
The parameter fitness obtaining unit is used for constructing an electric dust removal fitness function and obtaining a global parameter fitness set of the global flashover control parameter set based on the electric dust removal fitness function;
The gradient rising calculation unit is used for carrying out gradient rising calculation on the global parameter adaptation degree set and obtaining a search direction parameter set of the maximum gradient rising direction based on the gradient rising result reverse matching;
And the collaborative parameter output unit is used for setting a local searching step length, searching parameters of the searching direction parameter set based on the electric precipitation fitness function and the local searching step length until the preset iteration times are reached, and outputting the dedusting high-voltage vibration collaborative parameter.
Further, the device further comprises:
Fitness function unit for Wherein k 1 represents a dust removal effect weight, g 1 represents an energy saving effect weight, k 2 represents an energy saving effect weight, g 2 represents an energy saving effect empirical function, x i represents an ith process control parameter, and the sum of the weights k 1 and k 2 is 1.
Further, the device further comprises:
The key degree analysis unit is used for carrying out key degree analysis on the electric dust removal power consumption information and the dust removal high-voltage vibration cooperative parameters through an electric dust removal expert group to determine dust removal key degree distribution information;
The fusion calculation unit is used for carrying out fusion calculation on the electric dust removal power consumption information and the dust removal high-voltage vibration synergistic parameter based on the dust removal criticality distribution information to obtain an electric dust removal flashover control parameter;
The rated current setting unit is used for setting rated current of the protector according to the current-limiting impact-resistant protection device;
And the current limiting control strategy determining unit is used for determining the electric dust removal flashover current limiting control strategy based on the electric dust removal flashover control parameters and the rated current of the protector.
The foregoing various modifications and specific examples of the method for controlling electric precipitation flashover current limiting in the first embodiment of fig. 1 are equally applicable to an electric precipitation flashover current limiting control device according to this embodiment, and those skilled in the art will be aware of the implementation method of an electric precipitation flashover current limiting control device according to this embodiment through the foregoing detailed description of an electric precipitation flashover current limiting control method, so that the details of this embodiment will not be described herein for brevity.
In addition, the application also provides an electronic device, which comprises a bus, a transceiver, a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the transceiver, the memory and the processor are respectively connected through the bus, and when the computer program is executed by the processor, the processes of the method embodiment for controlling output data are realized, and the same technical effects can be achieved, so that repetition is avoided and redundant description is omitted.
Exemplary electronic device
In particular, referring to FIG. 4, the present application also provides an electronic device comprising a bus 1110, a processor 1120, a transceiver 1130, a bus interface 1140, a memory 1150, and a user interface 1160.
In the present application, the electronic device further includes: computer programs stored on the memory 1150 and executable on the processor 1120, which when executed by the processor 1120, implement the various processes of the method embodiments described above for controlling output data.
A transceiver 1130 for receiving and transmitting data under the control of the processor 1120.
In the present application, bus architecture (represented by bus 1110), bus 1110 may include any number of interconnected buses and bridges, with bus 1110 connecting various circuits, including one or more processors, represented by processor 1120, and memory, represented by memory 1150.
Bus 1110 represents one or more of any of several types of bus structures, including a memory bus and memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures. By way of example, and not limitation, such an architecture includes: industry standard architecture buses, micro-channel architecture buses, expansion buses, video electronics standards association, and peripheral component interconnect buses.
Processor 1120 may be an integrated circuit chip with signal processing capabilities. In implementation, the steps of the above method embodiments may be implemented by instructions in the form of integrated logic circuits in hardware or software in a processor. The processor includes: general purpose processors, central processing units, network processors, digital signal processors, application specific integrated circuits, field programmable gate arrays, complex programmable logic devices, programmable logic arrays, micro control units or other programmable logic devices, discrete gates, transistor logic devices, discrete hardware components. The methods, steps and logic blocks disclosed in the present application may be implemented or performed. For example, the processor may be a single-core processor or a multi-core processor, and the processor may be integrated on a single chip or located on multiple different chips.
The processor 1120 may be a microprocessor or any conventional processor. The method steps disclosed in connection with the present application may be performed directly by a hardware decoding processor or by a combination of hardware and software modules in a decoding processor. The software modules may be located in random access memory, flash memory, read only memory, programmable read only memory, erasable programmable read only memory, registers, and the like, as known in the art. The readable storage medium is located in a memory, and the processor reads the information in the memory and, in combination with its hardware, performs the steps of the above method.
Bus 1110 may also connect together various other circuits such as peripheral devices, voltage regulators, or power management circuits, bus interface 1140 providing an interface between bus 1110 and transceiver 1130, all of which are well known in the art. Therefore, the present application will not be further described.
The transceiver 1130 may be one element or a plurality of elements, such as a plurality of receivers and transmitters, providing a means for communicating with various other apparatus over a transmission medium. For example: the transceiver 1130 receives external data from other devices, and the transceiver 1130 is configured to transmit the data processed by the processor 1120 to the other devices. Depending on the nature of the computer device, a user interface 1160 may also be provided, for example: touch screen, physical keyboard, display, mouse, speaker, microphone, trackball, joystick, stylus.
It should be appreciated that in the present application, the memory 1150 may further include memory located remotely from the processor 1120, which may be connected to a server through a network. One or more portions of the above-described networks may be an ad hoc network, an intranet, an extranet, a virtual private network, a local area network, a wireless local area network, a wide area network, a wireless wide area network, a metropolitan area network, an internet, a public switched telephone network, a plain old telephone service network, a cellular telephone network, a wireless fidelity network, and combinations of two or more of the foregoing. For example, the cellular telephone network and wireless network may be global system for mobile communications devices, code division multiple access devices, worldwide interoperability for microwave access devices, general packet radio service devices, wideband code division multiple access devices, long term evolution devices, LTE frequency division duplex devices, LTE time division duplex devices, advanced long term evolution devices, general mobile communications devices, enhanced mobile broadband devices, mass machine class communications devices, ultra-reliable low-latency communications devices, and the like.
It should be appreciated that the memory 1150 in the present application can be either volatile memory or nonvolatile memory, or can include both volatile and nonvolatile memory. Wherein the nonvolatile memory includes: read-only memory, programmable read-only memory, erasable programmable read-only memory, electrically erasable programmable read-only memory, or flash memory.
The volatile memory includes: random access memory, which serves as an external cache. By way of example, and not limitation, many forms of RAM are available, such as: static random access memory, dynamic random access memory, synchronous dynamic random access memory, double data rate synchronous dynamic random access memory, enhanced synchronous dynamic random access memory, synchronous link dynamic random access memory, and direct memory bus random access memory. The memory 1150 of the electronic device described herein includes, but is not limited to, the memory described above and any other suitable type of memory.
In the present application, the memory 1150 stores the following elements of the operating device 1151 and the application 1152: an executable module, a data structure, or a subset thereof, or an extended set thereof.
Specifically, the operating device 1151 includes various device programs, such as: a framework layer, a core library layer, a driver layer, etc., for implementing various basic services and processing hardware-based tasks. The applications 1152 include various applications such as: and the media player and the browser are used for realizing various application services. A program for implementing the method of the present application may be included in the application 1152. The application 1152 includes: applets, objects, components, logic, data structures, and other computer apparatus-executable instructions that perform particular tasks or implement particular abstract data types.
In addition, the application also provides a computer readable storage medium, on which a computer program is stored, where the computer program when executed by a processor implements each process of the above-mentioned method embodiment for controlling output data, and the same technical effects can be achieved, and for avoiding repetition, a detailed description is omitted herein.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the application is subject to the protection scope of the claims.
Claims (7)
1. An electric precipitation flashover current limiting control method is characterized by comprising the following steps:
The method comprises the steps of monitoring and obtaining electric dust removal signal information through a signal acquisition module, wherein the electric dust removal signal information comprises boiler load, outlet dust and system air quantity;
Acquiring an electric dust removal power consumption fitting function, quantitatively analyzing the electric dust removal signal information based on the electric dust removal power consumption fitting function, and outputting electric dust removal power consumption information;
Constructing a flashover characteristic database, wherein the flashover characteristic database comprises flashover voltage, flashover frequency, flashover time and high-voltage vibration cooperative parameters;
Taking the flashover characteristic database as an electric dust removal flashover control space, and taking flashover characteristic parameters as optimizing constraint parameters;
performing global optimization in the electric dust removal flashover control space based on the optimization constraint parameters, and outputting dust removal high-voltage vibration cooperative parameters;
the method comprises the steps of obtaining high-frequency power supply control equipment, wherein the high-frequency power supply control equipment is used for controlling a high-frequency voltage device to provide high-voltage static electricity and integrated vibration logic control units for an electric dust collector, and a current-limiting shock-resistant protection device is additionally arranged in the high-frequency voltage device;
The high-frequency power supply control equipment performs fusion control analysis based on the electric dust removal power consumption information, the dust removal high-voltage vibration cooperative parameter and the current-limiting impact-resistant protection device to determine an electric dust removal flashover current-limiting control strategy;
wherein, the obtaining the fitting function of the electric dust removal power consumption comprises the following steps:
constructing an electric dust removal test database, wherein the electric dust removal test database comprises a historical boiler load signal, an outlet dust signal, a system air quantity signal and an electric dust removal power consumption result;
Obtaining a multiple linear regression function, wherein the multiple linear regression function takes the historical boiler load signal, the outlet dust signal and the system air quantity signal as independent variables, and the electric dust removal power consumption result is a dependent variable;
performing data fitting on the independent variable and the dependent variable through the multiple linear regression function to obtain a basic electric dust removal power consumption fitting function;
performing inspection optimization on the basic electric dust removal power consumption fitting function to obtain the electric dust removal power consumption fitting function;
wherein, the constructing a flashover characteristic database comprises:
Acquiring dust removal process control factors, wherein the dust removal process control factors comprise power supply operation voltage, power supply operation current, a vibration period, vibration intensity and vibration time;
Carrying out parameter design and orthogonal arrangement on the dust removal process control factors to obtain a dust removal control parameter table;
carrying out dust removal flashover test by the high-frequency power supply control equipment based on the dust removal control parameter table to obtain electric dust removal flashover characteristic parameter information;
Constructing the flashover characteristic database according to the dust removal control parameter table and the electric dust removal flashover characteristic parameter information;
Wherein, the determining the electric dust removal flashover current limiting control strategy comprises the following steps:
carrying out criticality analysis on the electric dust removal power consumption information and the dust removal high-voltage vibration cooperative parameters through an electric dust removal expert group to determine dust removal criticality distribution information;
based on the dust removal criticality distribution information, carrying out fusion calculation on the electric dust removal power consumption information and the dust removal high-voltage vibration synergistic parameter to obtain an electric dust removal flashover control parameter;
setting rated current of the protector according to the current-limiting impact-resistant protection device;
And determining the electric dust removal flashover current limiting control strategy based on the electric dust removal flashover control parameters and the rated current of the protector.
2. The method of claim 1, wherein said performing a verification optimization of said base electric precipitation power consumption fitting function comprises:
carrying out regression test on the basic electric precipitation power consumption fitting function to determine the function fitting reliability;
Setting a credibility reference value, and if the credibility of the function fitting does not reach the credibility reference value, carrying out loss analysis on the basic electric precipitation power consumption fitting function to obtain a function fitting loss value;
And updating, correcting and optimizing the basic electric precipitation power consumption fitting function based on the function fitting loss value.
3. The method according to claim 1, wherein said outputting of dedusting high voltage rapping co-parameters comprises:
Setting a global search step length, and carrying out parameter search in the electric precipitation flashover control space according to the optimizing constraint parameters and the global search step length to obtain a global flashover control parameter set;
constructing an electric dust removal fitness function, and obtaining a global parameter fitness set of the global flashover control parameter set based on the electric dust removal fitness function;
Gradient ascending calculation is carried out on the global parameter fitness set, and a search direction parameter set of the maximum gradient ascending direction is obtained based on gradient ascending result reverse matching;
setting a local searching step length, carrying out parameter searching on the searching direction parameter set based on the electric precipitation fitness function and the local searching step length until the preset iteration times are reached, and outputting the dedusting high-voltage vibration synergistic parameter.
4. A method according to claim 3, wherein the electric precipitation fitness function is specifically:
Wherein k 1 represents a dust removal effect weight, g 1 represents an energy saving effect weight, k 2 represents an energy saving effect weight, g 2 represents an energy saving effect empirical function, x i represents an ith process control parameter, and the sum of the weights k 1 and k 2 is 1.
5. An electric precipitation flashover current limiting control device, characterized in that the device comprises:
the electric dust removal signal acquisition module is used for monitoring and acquiring electric dust removal signal information through the signal acquisition module, wherein the electric dust removal signal information comprises boiler load, outlet dust and system air quantity;
The quantitative analysis module is used for obtaining an electric dust removal power consumption fitting function, quantitatively analyzing the electric dust removal signal information based on the electric dust removal power consumption fitting function and outputting electric dust removal power consumption information;
the characteristic database construction module is used for constructing an flashover characteristic database, and the flashover characteristic database comprises flashover voltage, flashover frequency, flashover time and high-voltage vibration cooperative parameters;
The optimizing parameter obtaining module is used for taking the flashover characteristic database as an electric dust removal flashover control space and taking the flashover characteristic parameter as an optimizing constraint parameter;
the global optimizing module is used for carrying out global optimization in the electric dust removal flashover control space based on the optimizing constraint parameters and outputting dust removal high-voltage vibration cooperative parameters;
The control equipment acquisition module is used for acquiring high-frequency power supply control equipment, wherein the high-frequency power supply control equipment is used for controlling a high-frequency voltage device to provide high-voltage static electricity for the electric dust collector and an integrated rapping logic control unit, and a current-limiting impact-resistant protection device is additionally arranged in the high-frequency voltage device;
the fusion control analysis module is used for carrying out fusion control analysis on the high-frequency power supply control equipment based on the electric dust removal power consumption information, the dust removal high-voltage vibration cooperative parameters and the current-limiting impact-resistant protection device to determine an electric dust removal flashover current-limiting control strategy;
the test database construction unit is used for constructing an electric dust removal test database, and the electric dust removal test database comprises a historical boiler load signal, an outlet dust signal, a system air quantity signal and an electric dust removal power consumption result;
The regression function obtaining unit is used for obtaining a multiple linear regression function, wherein the multiple linear regression function takes the historical boiler load signal, the outlet dust signal and the system air quantity signal as independent variables, and the electric dust removal power consumption result is a dependent variable;
the data fitting unit is used for performing data fitting on the independent variable and the dependent variable through the multiple linear regression function to obtain a basic electric dust removal power consumption fitting function;
The test optimization unit is used for conducting test optimization on the basic electric dust removal power consumption fitting function to obtain the electric dust removal power consumption fitting function;
the control factor acquisition unit is used for acquiring dust removal process control factors, wherein the dust removal process control factors comprise power supply operation voltage, power supply operation current, vibration period, vibration intensity and vibration time;
The control parameter table obtaining unit is used for carrying out parameter design and orthogonal arrangement on the dust removal process control factors to obtain a dust removal control parameter table;
The dust-removing flashover testing unit is used for carrying out dust-removing flashover testing by the high-frequency power supply control equipment based on the dust-removing control parameter table to obtain electric dust-removing flashover characteristic parameter information;
The characteristic database construction unit is used for constructing the flashover characteristic database according to the dust removal control parameter table and the electric dust removal flashover characteristic parameter information;
The key degree analysis unit is used for carrying out key degree analysis on the electric dust removal power consumption information and the dust removal high-voltage vibration cooperative parameters through an electric dust removal expert group to determine dust removal key degree distribution information;
The fusion calculation unit is used for carrying out fusion calculation on the electric dust removal power consumption information and the dust removal high-voltage vibration synergistic parameter based on the dust removal criticality distribution information to obtain an electric dust removal flashover control parameter;
The rated current setting unit is used for setting rated current of the protector according to the current-limiting impact-resistant protection device;
And the current limiting control strategy determining unit is used for determining the electric dust removal flashover current limiting control strategy based on the electric dust removal flashover control parameters and the rated current of the protector.
6. An electric precipitation flashover current limiting control electronic device comprising a bus, a transceiver, a memory, a processor and a computer program stored on said memory and executable on said processor, said transceiver, said memory and said processor being connected by said bus, characterized in that said computer program when executed by said processor realizes the steps in the method according to any of claims 1-4.
7. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any of claims 1-4.
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