CN114499302B - Method and system for intelligently matching transformers - Google Patents
Method and system for intelligently matching transformers Download PDFInfo
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- CN114499302B CN114499302B CN202111626991.0A CN202111626991A CN114499302B CN 114499302 B CN114499302 B CN 114499302B CN 202111626991 A CN202111626991 A CN 202111626991A CN 114499302 B CN114499302 B CN 114499302B
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
- H02P13/00—Arrangements for controlling transformers, reactors or choke coils, for the purpose of obtaining a desired output
- H02P13/08—Arrangements for controlling transformers, reactors or choke coils, for the purpose of obtaining a desired output by sliding current collector along winding
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
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Abstract
The invention discloses a method and a system for intelligently matching transformers, which are implemented by obtaining expected output voltage information; obtaining first transformer information, and obtaining a first matching degree according to the expected output voltage information and the first operation duration; judging whether the first matching degree meets a preset condition, and obtaining circuit resistance information when the first matching degree meets the preset condition; obtaining a circuit resistance class according to the circuit resistance information; inputting expected output voltage information, circuit resistance information and circuit resistance type into a first training model to obtain impedance information matched with the expected output voltage information, the circuit resistance information and the circuit resistance type; and obtaining a first instruction according to the impedance information, and controlling the output impedance of the first transformer according to the impedance information. The transformer matching method and device solve the technical problems that in the prior art, transformer matching is not accurate enough and transmission power loss is large. The accuracy of impedance information is improved, and the maximum output power is obtained, so that the technical effect of reducing power loss is achieved.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a method and a system for intelligently matching transformers.
Background
A power transformer is a stationary electric device that is used to change an ac voltage (current) of a certain value into another voltage (current) of the same frequency or different values. The transformer matching is to match a proper transformer according to the corresponding power requirement, and is to match the impedance of the transformer, generally an impedance matching transformer, and output corresponding voltage according to the impedance, wherein the transformer can be regarded as an ideal transformer generally, and no loss is caused to transmit power. Basic characteristics of a transformer: 1. the voltage is converted. 2. The current is transformed. 3. Transforming the impedance. The higher the voltage and the smaller the current of the same power, and conversely, the lower the voltage and the larger the current; high voltage, low current and high load impedance; low voltage, high current, low load impedance. Transformer matching is to transform different voltages according to the different load impedance values so as to adapt to the load impedance values.
However, in the process of implementing the technical scheme of the invention in the embodiment of the application, the inventor of the application finds that at least the following technical problems exist in the above technology:
in the prior art, the transformer is not accurately matched, and the technical problem of high transmission power loss exists.
Disclosure of Invention
The embodiment of the application solves the technical problems of inaccurate transformer matching and larger transmission power loss in the prior art by providing the method and the system for intelligently matching the transformers. The method achieves the technical effects of determining the output impedance information according to the training model calculation, improving the accuracy of the impedance information, controlling the number of turns of the coil according to the impedance information, ensuring better matching between the output impedance and the load impedance, obtaining the maximum output power and reducing the power loss.
In view of the above problems, embodiments of the present application provide a method and a system for intelligently matching transformers.
In a first aspect, an embodiment of the present application provides a method for intelligently matching transformers, where the method includes: obtaining expected output voltage information; obtaining first transformer information according to the expected output voltage information, wherein the first transformer information is a transformer matched according to the output voltage and related information; obtaining a first operation time length according to the first transformer information; obtaining a first matching degree according to the expected output voltage information and the first operation time length; judging whether the first matching degree meets a preset condition, and obtaining circuit resistance information when the first matching degree meets the preset condition; obtaining a circuit resistance class according to the circuit resistance information; inputting the expected output voltage information, the circuit resistance information and the circuit resistance category into a first training model, wherein the first training model is obtained through training of multiple sets of training data, and each set of training data in the multiple sets of training data comprises: the desired output voltage information, the circuit resistance class, and identification information for identifying impedance information; obtaining first output information of the first training model, wherein the first output information comprises a first output result, and the first output result is impedance information matched with the expected output voltage information, the circuit resistance information and the circuit resistance type; and according to the impedance information, a first instruction is obtained, wherein the first instruction is to control the output impedance of the first transformer according to the impedance information.
Preferably, the obtaining a circuit resistance class according to the circuit resistance information includes: judging whether the circuit resistance information contains reactance components or not; when the reactance component is not included, the circuit resistance type is a first type of circuit resistance; when the reactive component is included, the circuit resistance type is a second type of circuit resistance.
Preferably, the method comprises: obtaining first load impedance information according to the circuit resistance information; according to the first load impedance information, obtaining the mode information of the first load impedance and the argument information of the first load impedance; obtaining a first matching condition according to the circuit resistance class; and obtaining the impedance information according to the modulus information of the first load impedance, the argument information of the first load impedance and the first matching condition.
Preferably, the method comprises: obtaining current frequency information of different positions of the transformer; obtaining capacitive reactance information according to the current frequency information; obtaining inductive reactance information according to the current frequency information; obtaining first reactance information according to the capacitive reactance information and the inductive reactance information; and obtaining transformer output impedance information according to the first reactance information and the circuit resistance information.
Preferably, the method comprises: obtaining impedance material information of a transformer; obtaining expected resistance data according to the impedance material information; obtaining resistance information of each position of the transformer; obtaining a resistance difference value according to the resistance information and the expected resistance data; obtaining a resistance correction value according to the resistance difference value and the impedance information; and obtaining a first adjustment instruction according to the resistance correction value, wherein the first adjustment instruction is used for taking the resistance correction value as the output impedance of the first transformer.
Preferably, the method comprises: monitoring the actual voltage value output by the transformer; obtaining a voltage deviation rate according to the actual voltage value and the expected output voltage information; judging whether the voltage deviation rate exceeds a first preset threshold value; when the voltage exceeds the actual voltage value, obtaining actual output impedance information; and obtaining a second adjustment instruction according to the actual output impedance information.
Preferably, the obtaining expected resistance data according to the impedance material information includes: taking the impedance material information as first input information; inputting the first input information into a second training model, wherein the second training model is obtained through training of multiple sets of training data, and each set of training data in the multiple sets of training data comprises: the impedance material information and the identification information for identifying the expected resistance data information; and obtaining second output information of the second training model, wherein the second output information comprises expected resistance data, and the expected resistance data is a resistance value matched with the impedance material.
In another aspect, the present application further provides a system for intelligently matching transformers, the system comprising:
a first obtaining unit for obtaining desired output voltage information;
the second obtaining unit is used for obtaining first transformer information according to the expected output voltage information, wherein the first transformer information is a transformer matched according to the output voltage and related information;
the third obtaining unit is used for obtaining a first operation duration according to the first transformer information;
the fourth obtaining unit is used for obtaining a first matching degree according to the expected output voltage information and the first operation duration;
the first judging unit is used for judging whether the first matching degree meets a preset condition or not, and when the first matching degree meets the preset condition, circuit resistance information is obtained;
a fifth obtaining unit, configured to obtain a circuit resistance class according to the circuit resistance information;
the first input unit is used for inputting the expected output voltage information, the circuit resistance information and the circuit resistance type into a first training model, wherein the first training model is obtained through training of multiple groups of training data, and each group of training data in the multiple groups of training data comprises: the desired output voltage information, the circuit resistance class, and identification information for identifying impedance information;
A sixth obtaining unit, configured to obtain first output information of the first training model, where the first output information includes a first output result, and the first output result is impedance information matched with the expected output voltage information, the circuit resistance information, and the circuit resistance class;
a seventh obtaining unit, configured to obtain a first instruction according to the impedance information, where the first instruction is to control an output impedance of the first transformer according to the impedance information.
In a third aspect, the present invention provides a system for intelligently matching transformers, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method of any of the first aspects when the program is executed by the processor.
One or more technical solutions provided in the embodiments of the present application at least have the following technical effects or advantages:
the embodiment of the application provides a method and a system for intelligently matching transformers, which are used for obtaining expected output voltage information; obtaining first transformer information according to the expected output voltage information, wherein the first transformer information is a transformer matched according to the output voltage and related information; obtaining a first operation time length according to the first transformer information; obtaining a first matching degree according to the expected output voltage information and the first operation time length; judging whether the first matching degree meets a preset condition, and obtaining circuit resistance information when the first matching degree meets the preset condition; obtaining a circuit resistance class according to the circuit resistance information; inputting the expected output voltage information, the circuit resistance information and the circuit resistance category into a first training model, wherein the first training model is obtained through training of multiple sets of training data, and each set of training data in the multiple sets of training data comprises: the desired output voltage information, the circuit resistance class, and identification information for identifying impedance information; obtaining first output information of the first training model, wherein the first output information comprises a first output result, and the first output result is impedance information matched with the expected output voltage information, the circuit resistance information and the circuit resistance type; and according to the impedance information, a first instruction is obtained, wherein the first instruction is to control the output impedance of the first transformer according to the impedance information. The method achieves the technical effects of determining the output impedance information according to the training model calculation, improving the accuracy of the impedance information, controlling the number of turns of the coil according to the impedance information, ensuring better matching between the output impedance and the load impedance, obtaining the maximum output power and reducing the power loss. Thereby solving the technical problems of inaccurate matching of the transformer and larger transmission power loss in the prior art
The foregoing description is only an overview of the technical solutions of the present application, and may be implemented according to the content of the specification in order to make the technical means of the present application more clearly understood, and in order to make the above-mentioned and other objects, features and advantages of the present application more clearly understood, the following detailed description of the present application will be given.
Drawings
Fig. 1 is a flow chart of a method for intelligently matching transformers according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a system of an intelligent matching transformer according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Reference numerals illustrate: the device comprises a first obtaining unit 11, a second obtaining unit 12, a third obtaining unit 13, a fourth obtaining unit 14, a first judging unit 15, a fifth obtaining unit 16, a first input unit 17, a sixth obtaining unit 18, a seventh obtaining unit 19, a bus 300, a receiver 301, a processor 302, a transmitter 303, a memory 304 and a bus interface 306.
Detailed Description
The embodiment of the application solves the technical problems of inaccurate transformer matching and larger transmission power loss in the prior art by providing the method and the system for intelligently matching the transformers. The method achieves the technical effects of determining the output impedance information according to the training model calculation, improving the accuracy of the impedance information, controlling the number of turns of the coil according to the impedance information, ensuring better matching between the output impedance and the load impedance, obtaining the maximum output power and reducing the power loss.
Hereinafter, example embodiments according to the present application will be described in detail with reference to the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application and not all of the embodiments of the present application, and it should be understood that the present application is not limited by the example embodiments described herein.
Summary of the application
A power transformer is a stationary electric device that is used to change an ac voltage (current) of a certain value into another voltage (current) of the same frequency or different values. Generally, an impedance matching transformer is used to output a voltage according to impedance, and the transformer can be regarded as an ideal transformer, so that no power is transmitted. Transformer matching is to transform different voltages according to the different load impedance values so as to adapt to the load impedance values. However, in the prior art, the transformer is not matched accurately enough, and the transmission power loss is large.
Aiming at the technical problems, the technical scheme provided by the application has the following overall thought:
by obtaining desired output voltage information; obtaining first transformer information according to the expected output voltage information, wherein the first transformer information is a transformer matched according to the output voltage and related information; obtaining a first operation time length according to the first transformer information; obtaining a first matching degree according to the expected output voltage information and the first operation time length; judging whether the first matching degree meets a preset condition, and obtaining circuit resistance information when the first matching degree meets the preset condition; obtaining a circuit resistance class according to the circuit resistance information; inputting the expected output voltage information, the circuit resistance information and the circuit resistance category into a first training model, wherein the first training model is obtained through training of multiple sets of training data, and each set of training data in the multiple sets of training data comprises: the desired output voltage information, the circuit resistance class, and identification information for identifying impedance information; obtaining first output information of the first training model, wherein the first output information comprises a first output result, and the first output result is impedance information matched with the expected output voltage information, the circuit resistance information and the circuit resistance type; and according to the impedance information, a first instruction is obtained, wherein the first instruction is to control the output impedance of the first transformer according to the impedance information. The method achieves the technical effects of determining the output impedance information according to the training model calculation, improving the accuracy of the impedance information, controlling the number of turns of the coil according to the impedance information, ensuring better matching between the output impedance and the load impedance, obtaining the maximum output power and reducing the power loss.
Having described the basic principles of the present application, various non-limiting embodiments of the present application will now be described in detail with reference to the accompanying drawings.
Example 1
Fig. 1 is a flow chart of a method for intelligently matching a transformer according to an embodiment of the present application, as shown in fig. 1, the embodiment of the present application provides a method for intelligently matching a transformer, which is applied to an intelligent terminal, the intelligent terminal has an image acquisition device, and the method includes:
step 100: obtaining expected output voltage information;
step 200: obtaining first transformer information according to the expected output voltage information, wherein the first transformer information is a transformer matched according to the output voltage and related information;
step 300: obtaining a first operation time length according to the first transformer information;
step 400: obtaining a first matching degree according to the expected output voltage information and the first operation time length;
specifically, after the transformers are determined according to the voltage information and the power information which are expected to be output and matched with the output voltage and the power requirements, the operation time of the transformers is further judged, namely whether the transformers are aged or operated under high load is judged, and based on protection of the transformers and in order to be matched with the proper transformers, the transformers which can meet the output voltage and the corresponding output power requirements and are matched with the performance of the transformers are found, so that the normal operation of the transformers is ensured.
Step 500: judging whether the first matching degree meets a preset condition, and obtaining circuit resistance information when the first matching degree meets the preset condition;
step 600: obtaining a circuit resistance class according to the circuit resistance information;
further, step 600: the obtaining the circuit resistance category according to the circuit resistance information comprises the following steps:
step 610: judging whether the circuit resistance information contains reactance components or not;
step 620: when the reactance component is not included, the circuit resistance type is a first type of circuit resistance;
step 630: when the reactive component is included, the circuit resistance type is a second type of circuit resistance.
Specifically, after matching to a proper transformer, the type of the circuit resistor is judged, and the resistor is mainly divided into a pure resistor and a resistor with a reactance component due to different impedance matching principles for different resistor conditions. Reactance is the resistance of capacitance and inductance to current.
Step 700: inputting the expected output voltage information, the circuit resistance information and the circuit resistance category into a first training model, wherein the first training model is obtained through training of multiple sets of training data, and each set of training data in the multiple sets of training data comprises: the desired output voltage information, the circuit resistance category, and identification information for identifying output impedance information that matches the circuit resistance information;
Step 800: obtaining first output information of the first training model, wherein the first output information comprises a first output result, and the first output result is impedance information matched with the expected output voltage information, the circuit resistance information and the circuit resistance type;
specifically, according to the expected output voltage information, the circuit resistance value and the corresponding circuit resistance type, matching is performed to obtain output impedance matched with load impedance, the distribution condition of the number of turns of a coil in a transformer is controlled according to the size of the output impedance, so that the matching degree of the impedance is high, the effect of improving the output power is improved, in order to improve the accuracy of impedance matching data, the embodiment of the application utilizes the advantage of a neural network model, namely, the first training model is a network neural model, a plurality of groups of expected output voltage information, circuit resistance type and identification information of the output impedance information matched with the circuit resistance information are used as training data, model training is performed, and the accuracy of the neural network model is ensured through a large number of data training and correction. Thus, by inputting the desired output voltage information, the circuit resistance information, and the circuit resistance type into the training model, an output result matching with the output impedance information matching with the circuit resistance information can be obtained. The first training model, i.e., a Neural network model in machine learning, is a complex Neural network system formed by a large number of simple processing units (called neurons) widely connected to each other, reflecting many basic features of human brain functions, and is a highly complex nonlinear power learning system. The neural network model is described based on a mathematical model of neurons. An artificial neural network (Artificial Neural Networks) is a description of the first order nature of the human brain system. In brief, it is a mathematical model. Through training of a large number of training data sets, expected output voltage information, the circuit resistance information and the circuit resistance type are input into a neural network model, and output impedance information meeting the requirements is output.
Furthermore, the training process is essentially a supervised learning process, each set of supervision data includes expected output voltage information, the circuit resistance information, a circuit resistance type and identification information identifying output impedance information matched with the circuit resistance information, the expected output voltage information, the circuit resistance information and the circuit resistance type are input into a neural network model, the neural network model outputs an output result of the output impedance information matched with the circuit resistance information, whether the output information is consistent with the identification information identifying the output impedance information matched with the circuit resistance information or not is judged, if so, the supervision learning of the next set of data is performed; if the output information is inconsistent with the identification information of the output impedance information with the identification matched with the circuit resistance information, the neural network model carries out self-correction and adjustment until the obtained output information is consistent with the identification information of the output impedance information with the identification matched with the circuit resistance information, the data supervision and study of the group is ended, and the next data supervision and study is carried out; and when the output information of the neural network model reaches the preset accuracy, ending the supervised learning process. Through the supervised learning of the neural network model, the neural network model is enabled to process the input data more accurately, output impedance information matched with circuit resistance information is enabled to be more accurate, and scientific and powerful data support can be carried out for impedance matching of the transformer.
Step 900: and according to the impedance information, a first instruction is obtained, wherein the first instruction is to control the output impedance of the first transformer according to the impedance information.
Specifically, a first instruction is determined according to the obtained output impedance information, and the first instruction is to calculate and determine the output impedance information according to a training model to control the number of turns of a coil so as to ensure that the output impedance is matched with the load impedance and obtain the maximum output power, so that the technical problems of inaccurate matching of a transformer and large transmission power loss in the prior art are solved.
Further, the embodiment of the application further includes:
step 1010: obtaining first load impedance information according to the circuit resistance information;
step 1020: according to the first load impedance information, obtaining the mode information of the first load impedance and the argument information of the first load impedance;
step 1030: obtaining a first matching condition according to the circuit resistance class;
step 1040: and obtaining the impedance information according to the modulus information of the first load impedance, the argument information of the first load impedance and the first matching condition.
Specifically, for different resistances, corresponding matching conditions are corresponding to different matching conditions, corresponding matching conditions are determined according to the resistance types, impedance matching is performed according to the matching conditions, and for the first type of resistance, namely the pure resistance, the matching conditions are that the load impedance is equal to the output impedance, and further that the modes and the argument of the load impedance and the output impedance are equal. For the second type of resistor, namely the resistor with reactance component, the matching condition is that the load impedance is equal to the conjugate value of the output impedance, and further that the mode of the load impedance and the output impedance is equal and the sum of the argument is zero, the load impedance and the output impedance are matched, and the output power is maximum. Different matching schemes are carried out according to different resistor types so as to ensure the accuracy of matching results, improve the working efficiency of the transformer, improve the output power and reduce the power loss.
Further, the embodiment of the application further includes:
step 1110: obtaining current frequency information of different positions of the transformer;
step 1120: obtaining capacitive reactance information according to the current frequency information;
step 1130: obtaining inductive reactance information according to the current frequency information;
step 1140: obtaining first reactance information according to the capacitive reactance information and the inductive reactance information;
step 1150: and obtaining transformer output impedance information according to the first reactance information and the circuit resistance information.
Specifically, since the impedance includes the resistor and the reactance, the resistor and the reactance form the impedance in the circuit together, in order to avoid other interference in the transformer, in the embodiment of the present application, the current frequency of each position in the transformer is monitored, the capacitive reactance information and the inductive reactance information can be correspondingly calculated according to the current frequency, whether other resistance interference exists is judged, and the output impedance is corrected according to the sum of the capacitive reactance information and the inductive reactance information obtained by calculation, so as to ensure the accuracy of the impedance information.
Further, the embodiment of the application further includes:
step 1210: obtaining impedance material information of a transformer;
step 1220: obtaining expected resistance data according to the impedance material information;
Step 1230: obtaining resistance information of each position of the transformer;
step 1240: obtaining a resistance difference value according to the resistance information and the expected resistance data;
step 1250: obtaining a resistance correction value according to the resistance difference value and the impedance information;
step 1260: and obtaining a first adjustment instruction according to the resistance correction value, wherein the first adjustment instruction is used for taking the resistance correction value as the output impedance of the first transformer.
Specifically, the output impedance of the control circuit in the transformer is correspondingly controlled by the number of turns of the coil, the number of turns of the coil is the input side, the number of turns of the coil is the output side, namely, the impedance matching can be realized for the transformer, and the proper number of turns of the coil is selected, so that the corresponding proper output impedance can be obtained. However, the abrasion condition can occur or the material of the coil in the transformer is changed after long-term use, so that the deviation of the resistance is caused, and in order to avoid the condition that the impedance control is inaccurate due to the long-term use abrasion of the coil, the embodiment of the application monitors each position of the coil, obtains corresponding resistance information, compares the corresponding resistance information with expected resistance data, obtains resistance deviation, calculates according to the calculated resistance difference value when the resistance deviation exists, obtains a deviation coefficient, corrects the output resistance value according to the determined output impedance information and the deviation coefficient, provides output power and avoids power loss, so that the output impedance and the load impedance are successfully matched.
Further, the embodiment of the application further includes:
step 1310: monitoring the actual voltage value output by the transformer;
step 1320: obtaining a voltage deviation rate according to the actual voltage value and the expected output voltage information;
step 1330: judging whether the voltage deviation rate exceeds a first preset threshold value;
step 1340: when the voltage exceeds the actual voltage value, obtaining actual output impedance information;
step 1350: and obtaining a second adjustment instruction according to the actual output impedance information.
Further, step 1220: the obtaining expected resistance data according to the impedance material information includes:
step 1221: taking the impedance material information as first input information;
step 1222: inputting the first input information into a second training model, wherein the second training model is obtained through training of multiple sets of training data, and each set of training data in the multiple sets of training data comprises: the impedance material information and the identification information for identifying the expected resistance data information;
step 1223: and obtaining second output information of the second training model, wherein the second output information comprises expected resistance data, and the expected resistance data is a resistance value matched with the impedance material.
Specifically, the transformer after the matching scheme is determined is monitored to judge whether the expected voltage requirement is met, the monitored voltage data is compared with the expected output voltage to obtain a deviation value, when the deviation value exceeds the error allowable range, the corresponding resistance adjustment requirement is calculated according to the voltage deviation value, and the output impedance is adjusted according to the resistance adjustment requirement, so that the higher matching degree of the output impedance is ensured. In addition, when the resistance value is determined by using the resistance material, in order to improve the accuracy of estimated resistance data, the embodiment of the application uses the advantages of the neural network model, wherein a plurality of groups of impedance material information and identification information for identifying expected resistance data information are used as training data, model training is performed, and the accuracy of the neural network model is ensured through a large amount of data training and correction. Thus, by inputting the screen usage environment image into the training model, an output result matching the information identifying the expected resistance data can be obtained. The second training model, i.e., a Neural network model in machine learning, is a complex Neural network system formed by a large number of simple processing units (called neurons) widely connected to each other, reflecting many basic features of human brain functions, and is a highly complex nonlinear power learning system. The neural network model is described based on a mathematical model of neurons. An artificial neural network (Artificial Neural Networks) is a description of the first order nature of the human brain system. In brief, it is a mathematical model. And inputting the impedance material information into a neural network model through training of a large number of training data sets, and outputting expected resistance data information meeting the requirements.
Furthermore, the training process is essentially a supervised learning process, each set of supervision data includes the impedance material information and identification information for identifying expected resistance data information, the impedance material information is input into a neural network model, the neural network model outputs an output result of expected resistance data meeting requirements, and whether the output information is consistent with the identification information identifying the expected resistance data information or not is judged, if so, the supervised learning of the next set of data is performed; if the output information is inconsistent with the identification information for identifying the expected resistance data information, the neural network model carries out self-correction and adjustment until the obtained output information is consistent with the identification information for identifying the expected resistance data information, the data supervision learning of the group is ended, and the next data supervision learning is carried out; and when the output information of the neural network model reaches the preset accuracy, ending the supervised learning process. Through the supervised learning of the neural network model, the neural network model is enabled to process the input data more accurately, the output expected resistance data information is enabled to be more accurate, scientific and powerful data support can be made for output impedance matching, matching degree is improved, output power maximization of a transformer is ensured, and the technical problems that in the prior art, transformer matching is not accurate enough and transmission power loss is large are solved.
Further, the inputting the desired output voltage information, the circuit resistance information, and the circuit resistance class into the first training model, step S700 of the embodiment of the present application further includes:
step S710: acquiring first training data and second training data in the multiple groups of training data until N training data;
step S720: generating a first identification code according to first training data, wherein the first identification code corresponds to the first training data one by one;
step S730: generating a second identification code according to the second training data and the first identification code, and so on, generating an N identification code according to the N training data and the N-1 identification code, wherein N is a natural number greater than 1;
step S740: and copying and storing the training data and the identification codes on M electronic devices.
Specifically, blockchain technology, also known as distributed ledger technology, is an emerging technology that is commonly engaged in "accounting" by several computing devices, together maintaining a complete distributed database. The blockchain technology has the characteristics of decentralization, disclosure transparency, capability of participating in database recording by each computing device and capability of rapidly performing data synchronization among the computing devices, so that the blockchain technology is widely applied in a plurality of fields. Generating a first identification code according to the first training data, wherein the first identification code corresponds to the first training data one by one; generating a second identification code according to the second training data and the first identification code, wherein the second identification code corresponds to the second training data one by one; and the N-th training data and the N-1-th identification code are generated according to the N-th training data and the N-1-th identification code, wherein N is a natural number larger than 1, all the training data and the identification codes are respectively copied and stored on M pieces of equipment, the first training data and the first identification code are stored on one piece of equipment as a first block, the second training data and the second identification code are stored on one piece of equipment as a second block, the N-th training data and the N-th identification code are stored on one piece of equipment as an N-th block, when the training data are required to be called, after each later node receives the data stored by the previous node, the data are stored after being checked by a common identification mechanism, the data are connected in series by a hash function, so that the training data are not easy to lose and damage, the training data are encrypted by logic of a block chain, the security of the training data is ensured, the privacy security of the first user is ensured, the training data is ensured, the neural network obtained by training data is ensured, and the accuracy of the neural network obtained by training data is ensured, and the impedance information can be more accurately output.
Example two
Based on the same inventive concept as the method for intelligently matching transformers in the foregoing embodiments, the present invention also provides a system for intelligently matching transformers, as shown in fig. 2, where the system includes:
a first obtaining unit 11, the first obtaining unit 11 being configured to obtain desired output voltage information;
a second obtaining unit 12, where the second obtaining unit 12 is configured to obtain first transformer information according to the desired output voltage information, where the first transformer information is a transformer and related information matched according to the output voltage;
a third obtaining unit 13, where the third obtaining unit 13 is configured to obtain a first operation duration according to the first transformer information;
a fourth obtaining unit 14, where the fourth obtaining unit 14 is configured to obtain a first matching degree according to the expected output voltage information and the first operation duration;
a first judging unit 15, where the first judging unit 15 is configured to judge whether the first matching degree meets a predetermined condition, and obtain circuit resistance information when the first matching degree meets the predetermined condition;
a fifth obtaining unit 16, where the fifth obtaining unit 16 is configured to obtain a circuit resistance class according to the circuit resistance information;
A first input unit 17, where the first input unit 17 is configured to input the desired output voltage information, the circuit resistance information, and the circuit resistance class into a first training model, where the first training model is obtained by training multiple sets of training data, and each set of training data in the multiple sets of training data includes: the desired output voltage information, the circuit resistance class, and identification information for identifying impedance information;
a sixth obtaining unit 18, where the sixth obtaining unit 18 is configured to obtain first output information of the first training model, where the first output information includes a first output result, and the first output result is impedance information matched with the desired output voltage information, the circuit resistance information, and the circuit resistance class;
a seventh obtaining unit 19, where the seventh obtaining unit 19 is configured to obtain a first instruction according to the impedance information, where the first instruction is to control the output impedance of the first transformer according to the impedance information.
Further, the system further comprises:
the second judging unit is used for judging whether the circuit resistance information contains reactance components or not;
The first execution unit is used for enabling the circuit resistance type to be a first type of circuit resistance when the reactance component is not contained;
and the second execution unit is used for the circuit resistor type to be a second type of circuit resistor when the reactance component is contained.
Further, the system further comprises:
an eighth obtaining unit configured to obtain first load impedance information according to the circuit resistance information;
a ninth obtaining unit, configured to obtain, according to the first load impedance information, module information of a first load impedance and argument information of the first load impedance;
a tenth obtaining unit configured to obtain a first matching condition according to the circuit resistance class;
an eleventh obtaining unit configured to obtain the impedance information according to the modulus information of the first load impedance, the argument information of the first load impedance, and the first matching condition.
Further, the system further comprises:
a twelfth obtaining unit for obtaining current frequency information of different positions of the transformer;
A thirteenth obtaining unit configured to obtain capacitive reactance information according to the current frequency information;
a fourteenth obtaining unit configured to obtain inductive reactance information according to the current frequency information;
a fifteenth obtaining unit, configured to obtain first reactance information according to the capacitive reactance information and the inductive reactance information;
a sixteenth obtaining unit, configured to obtain transformer output impedance information according to the first reactance information and the circuit resistance information.
Further, the system further comprises:
a seventeenth obtaining unit configured to obtain transformer impedance material information;
an eighteenth obtaining unit, configured to obtain expected resistance data according to the impedance material information;
a nineteenth obtaining unit configured to obtain resistance information at each position of the transformer;
a twentieth obtaining unit configured to obtain a resistance difference value according to the resistance information and the expected resistance data;
a twenty-first obtaining unit, configured to obtain a resistance correction value according to the resistance difference value and the impedance information;
A twenty-second obtaining unit, configured to obtain a first adjustment instruction according to the resistance correction value, where the first adjustment instruction is configured to use the resistance correction value as an output impedance of the first transformer.
Further, the system further comprises:
the third execution unit is used for monitoring the actual voltage value output by the transformer;
a twenty-third obtaining unit, configured to obtain a voltage deviation rate according to the actual voltage value and the desired output voltage information;
a third judging unit for judging whether the voltage deviation rate exceeds a first predetermined threshold;
a twenty-fourth obtaining unit, configured to obtain actual output impedance information according to the actual voltage value when the actual voltage value exceeds the actual voltage value;
a twenty-fifth obtaining unit, configured to obtain a second adjustment instruction according to the actual output impedance information.
Further, the system further comprises:
the fourth execution unit is used for taking the impedance material information as first input information;
The second input unit is used for inputting the first input information into a second training model, wherein the second training model is obtained through training of multiple groups of training data, and each group of training data in the multiple groups of training data comprises: the impedance material information and the identification information for identifying the expected resistance data information;
a twenty-sixth obtaining unit, configured to obtain second output information of the second training model, where the second output information includes expected resistance data, and the expected resistance data is a resistance value matched with an impedance material.
The foregoing variations and specific examples of the method for intelligently matching a transformer in the first embodiment of fig. 1 are equally applicable to the system for intelligently matching a transformer in the present embodiment, and those skilled in the art will be aware of the implementation method of the system for intelligently matching a transformer in the present embodiment through the foregoing detailed description of the method for intelligently matching a transformer, so that details will not be described herein for brevity.
Exemplary electronic device
An electronic device of an embodiment of the present application is described below with reference to fig. 3.
Fig. 3 illustrates a schematic structural diagram of an electronic device according to an embodiment of the present application.
Based on the inventive concept of a method for intelligently matching a transformer as in the previous embodiments, the present invention also provides a system for intelligently matching a transformer, on which a computer program is stored, which program, when being executed by a processor, implements the steps of any of the methods for intelligently matching a transformer as described above.
Where in FIG. 3 a bus architecture (represented by bus 300), bus 300 may comprise any number of interconnected buses and bridges, with bus 300 linking together various circuits, including one or more processors, represented by processor 302, and memory, represented by memory 304. Bus 300 may also link together various other circuits such as peripheral devices, voltage regulators, power management circuits, etc., as are well known in the art and, therefore, will not be described further herein. Bus interface 306 provides an interface between bus 300 and receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e. a transceiver, providing a means for communicating with various other systems over a transmission medium.
The processor 302 is responsible for managing the bus 300 and general processing, while the memory 304 may be used to store data used by the processor 302 in performing operations.
The above-mentioned one or more technical solutions in the embodiments of the present application at least have one or more of the following technical effects:
the embodiment of the application provides a method and a system for intelligently matching transformers, which are used for obtaining expected output voltage information; obtaining first transformer information according to the expected output voltage information, wherein the first transformer information is a transformer matched according to the output voltage and related information; obtaining a first operation time length according to the first transformer information; obtaining a first matching degree according to the expected output voltage information and the first operation time length; judging whether the first matching degree meets a preset condition, and obtaining circuit resistance information when the first matching degree meets the preset condition; obtaining a circuit resistance class according to the circuit resistance information; inputting the expected output voltage information, the circuit resistance information and the circuit resistance category into a first training model, wherein the first training model is obtained through training of multiple sets of training data, and each set of training data in the multiple sets of training data comprises: the desired output voltage information, the circuit resistance class, and identification information for identifying impedance information; obtaining first output information of the first training model, wherein the first output information comprises a first output result, and the first output result is impedance information matched with the expected output voltage information, the circuit resistance information and the circuit resistance type; and according to the impedance information, a first instruction is obtained, wherein the first instruction is to control the output impedance of the first transformer according to the impedance information. The method achieves the technical effects of determining output impedance information according to training model calculation, improving the accuracy of the impedance information, controlling the number of turns of the coil according to the impedance information, ensuring better matching between the output impedance and the load impedance, obtaining maximum output power and reducing power loss, and solving the technical problems of inaccurate matching of the transformer and larger transmission power loss in the prior art.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, 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 a system for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (6)
1. A method of intelligently matching transformers, wherein the method comprises:
obtaining expected output voltage information;
obtaining first transformer information according to the expected output voltage information, wherein the first transformer information is a transformer matched according to the expected output voltage information and related information;
obtaining a first operation time length according to the first transformer information;
obtaining a first matching degree according to the expected output voltage information and the first operation time length;
judging whether the first matching degree meets a preset condition, and obtaining circuit resistance information when the first matching degree meets the preset condition;
obtaining a circuit resistance class according to the circuit resistance information;
inputting the expected output voltage information, the circuit resistance information and the circuit resistance category into a first training model, wherein the first training model is obtained through training of multiple sets of training data, and each set of training data in the multiple sets of training data comprises: the desired output voltage information, the circuit resistance category, and identification information for identifying impedance information matched with the circuit resistance information;
Obtaining first output information of the first training model, wherein the first output information comprises a first output result, and the first output result is impedance information matched with the expected output voltage information, the circuit resistance information and the circuit resistance type;
according to the impedance information, a first instruction is obtained, and the first instruction controls the output impedance of the first transformer according to the impedance information;
wherein the method comprises the following steps:
obtaining impedance material information of a transformer;
obtaining expected resistance data according to the impedance material information;
obtaining resistance information of each position of the transformer;
obtaining a resistance difference value according to the resistance information and the expected resistance data of each position of the transformer;
obtaining a resistance correction value according to the resistance difference value and the impedance information;
according to the resistance correction value, a first adjustment instruction is obtained, and the first adjustment instruction is used for taking the resistance correction value as the output impedance of the first transformer;
monitoring the actual voltage value output by the transformer;
obtaining a voltage deviation rate according to the actual voltage value and the expected output voltage information;
Judging whether the voltage deviation rate exceeds a first preset threshold value;
when the voltage exceeds the actual voltage value, obtaining actual output impedance information;
and obtaining a second adjustment instruction according to the actual output impedance information.
2. The method of claim 1, wherein the obtaining a circuit resistance class from the circuit resistance information comprises:
judging whether the circuit resistance information contains reactance components or not;
when the reactance component is not included, the circuit resistance type is a first type of circuit resistance;
when the reactive component is included, the circuit resistance type is a second type of circuit resistance.
3. The method of claim 2, wherein the method comprises:
obtaining first load impedance information according to the circuit resistance information;
according to the first load impedance information, obtaining the mode information of the first load impedance and the argument information of the first load impedance;
obtaining a first matching condition according to the circuit resistance class;
and obtaining the impedance information according to the modulus information of the first load impedance, the argument information of the first load impedance and the first matching condition.
4. The method of claim 1, wherein the obtaining expected resistance data from the impedance material information comprises:
Taking the impedance material information as first input information;
inputting the first input information into a second training model, wherein the second training model is obtained through training of multiple sets of training data, and each set of training data in the multiple sets of training data comprises: the impedance material information and the identification information for identifying the expected resistance data information;
and obtaining second output information of the second training model, wherein the second output information comprises expected resistance data, and the expected resistance data is a resistance value matched with an impedance material.
5. A system for intelligently matching transformers, wherein the system comprises:
a first obtaining unit for obtaining desired output voltage information;
the second obtaining unit is used for obtaining first transformer information according to the expected output voltage information, wherein the first transformer information is a transformer matched with the expected output voltage information and related information;
the third obtaining unit is used for obtaining a first operation duration according to the first transformer information;
the fourth obtaining unit is used for obtaining a first matching degree according to the expected output voltage information and the first operation duration;
The first judging unit is used for judging whether the first matching degree meets a preset condition or not, and when the first matching degree meets the preset condition, circuit resistance information is obtained;
a fifth obtaining unit, configured to obtain a circuit resistance class according to the circuit resistance information;
the first input unit is used for inputting the expected output voltage information, the circuit resistance information and the circuit resistance type into a first training model, wherein the first training model is obtained through training of multiple sets of training data, and each set of training data in the multiple sets of training data comprises: the desired output voltage information, the circuit resistance category, and identification information for identifying impedance information matched with the circuit resistance information;
a sixth obtaining unit, configured to obtain first output information of the first training model, where the first output information includes a first output result, and the first output result is impedance information matched with the expected output voltage information, the circuit resistance information, and the circuit resistance class;
a seventh obtaining unit, configured to obtain a first instruction according to the impedance information, where the first instruction controls an output impedance of the first transformer according to the impedance information;
A seventeenth obtaining unit configured to obtain transformer impedance material information;
an eighteenth obtaining unit, configured to obtain expected resistance data according to the impedance material information;
a nineteenth obtaining unit configured to obtain resistance information at each position of the transformer;
the twentieth obtaining unit is used for obtaining a resistance difference value according to the resistance information and the expected resistance data at each position of the transformer;
a twenty-first obtaining unit, configured to obtain a resistance correction value according to the resistance difference value and the impedance information;
a twenty-second obtaining unit, configured to obtain a first adjustment instruction according to the resistance correction value, where the first adjustment instruction is configured to use the resistance correction value as an output impedance of the first transformer;
the third execution unit is used for monitoring the actual voltage value output by the transformer;
a twenty-third obtaining unit, configured to obtain a voltage deviation rate according to the actual voltage value and the desired output voltage information;
A third judging unit for judging whether the voltage deviation rate exceeds a first predetermined threshold;
a twenty-fourth obtaining unit configured to obtain actual output impedance information according to the actual voltage value when the voltage deviation rate exceeds a first predetermined threshold value;
a twenty-fifth obtaining unit, configured to obtain a second adjustment instruction according to the actual output impedance information.
6. A system for intelligently matching transformers comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method of any of claims 1-4 when the program is executed by the processor.
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