CN117110700B - Method and system for detecting pulse power of radio frequency power supply - Google Patents
Method and system for detecting pulse power of radio frequency power supply Download PDFInfo
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Abstract
The invention discloses a method and a system for detecting pulse power of a radio frequency power supply, which belong to the field of radio orientation.
Description
Technical Field
The invention belongs to the technical field of radio orientation, and particularly relates to a method and a system for detecting pulse power of a radio frequency power supply.
Background
PEMF is a bionic pulse technology, the pulse energy drives 60 trillion cells to resonate at the same frequency to generate internal diathermy, the unique effects of strengthening body, dredging channels and collaterals and penetrating cells can be achieved, cold is discharged to human bodies, meanwhile, the cells can be charged and charged, the cell energy of the human bodies is enhanced, the health of the human bodies is also energized, the existing radio frequency pulse health maintenance cabin has a certain problem that the physical condition and environmental data of a user cannot be acquired, the emission power of radio frequency pulse cannot be reasonably regulated according to the physical condition of the user and the environment inside the health maintenance cabin, the treatment effect on the user is poor, and the problems exist in the prior art;
for example, in chinese patent with publication No. CN219268822U, a radio frequency power amplifier and a radio frequency power amplifier module are disclosed, where the power amplifier includes a signal input terminal, a driving stage power amplifier, an amplifying stage power amplifier and a signal output terminal, a driving stage bias circuit connected to the driving stage power amplifier, an amplifying stage bias circuit connected to the amplifying stage power amplifier, a feedback gain adjusting circuit connected to the input terminal of the driving stage power amplifier and the output terminal of the driving stage power amplifier, respectively, and a power supply module connected to and supplying power to the driving stage power amplifier, the amplifying stage power amplifier and the feedback gain adjusting circuit, respectively; the feedback gain adjustment circuit includes a diode, a first resistor, and an RC feedback circuit. The radio frequency power amplifier can ensure the linearity of the radio frequency power amplifier under low gain so as to meet the requirement of a 5G-NR communication system;
Meanwhile, for example, in chinese patent application publication No. CN116318201a, a high-power solid-state transmitter circuit and a control method thereof are provided, including a radio frequency module respectively connected with a modulator module, a power module, a control module and a temperature limit module, where the modulator module, the power module and the temperature limit module are respectively connected with the control module, and further include a microwave signal synthesis module and a power adjustment module; the microwave signal synthesis module further comprises a compatible electromagnetic sub-module; the system also comprises a standby microwave signal synthesis module which is connected with the radio frequency system through a control module; and through the cooperative coordination of the modules, the high-power transmission of the solid-state transmitter is realized.
The problems proposed in the background art exist in the above patents: the application designs a method and a system for detecting the pulse power of a radio frequency power supply in order to solve the problems that the physical condition and the environmental data of a user cannot be acquired and the transmitting power of the radio frequency pulse cannot be reasonably adjusted according to the physical condition of the user and the environment in a health maintenance cabin, so that the treatment effect on the user is poor.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a method and a system for detecting the pulse power of a radio frequency power supply, which are characterized in that through collecting power data required by the radio frequency power supply, collecting personnel data and error environment data, constructing a historical database, training a constructed neural network model based on working data in the constructed historical database, collecting real-time power required by the radio frequency power supply, temperature, air density and humidity data in a health maintenance cavity, inputting the constructed neural network model, outputting the transmitting power of the radio frequency power supply, comparing the transmitting power of the radio frequency power supply with the safe power range of the radio frequency power supply, adjusting the power to the transmitting power of the radio frequency power supply if the transmitting power of the radio frequency power supply is in the safe power range, reminding a worker to issue an alarm command if the transmitting power of the radio frequency power supply is not in the safe power range, further improving the accuracy of power release, and avoiding the damage to human body caused by the unbalance of the power release.
In order to achieve the above purpose, the present invention provides the following technical solutions:
the radio frequency power supply pulse power detection method comprises the following specific steps:
S1, collecting power data of a radio frequency power supply in a working state, collected by a power meter, and collecting personnel data and error environment data at the same time to construct a historical database;
s2, training a constructed neural network model based on working data in a constructed historical database, and outputting radio frequency power supply transmitting power in a real working state of the radio frequency power supply;
S3, acquiring real-time personnel data, calculating the required power of the radio frequency power supply in a required power calculation formula of the incoming radio frequency power supply, inputting the required power of the radio frequency power supply into the constructed neural network model, and outputting the emission power of the radio frequency power supply;
S4, comparing the radio frequency power supply transmitting power with the radio frequency power supply safe power range, and if the radio frequency power supply transmitting power is in the safe power range, adjusting the power to the radio frequency power supply transmitting power;
S5, reminding a worker to issue an alarm command if the emission power of the radio frequency power supply is not in the safe power range.
Specifically, the step S1 includes the following specific steps:
S11, collecting radio frequency power source emission power in a radio frequency power source working state and radio frequency power source required power irradiated on a human body in a cavity, wherein the radio frequency power source emission power and the radio frequency power source required power are respectively counted as P 1i and P 2i;
S12, collecting the weight, height and age of a human body in the cavity, and respectively counting as mi, hi and ki;
wherein, the weight of the human body is collected by a weighing scale, and the height is collected by a measuring scale;
S13, acquiring temperature, air density and humidity data in the health-care cavity, wherein the temperature, the air density and the humidity data are respectively counted as Ti, si and Li;
wherein, the temperature of the health maintenance cavity is collected by a temperature collection device, the air density is collected by an air density collection device, and the humidity is collected by a humidity collection device;
s14, classifying the acquired data and storing the classified acquired data in a historical database;
S15, forming a first dimension vector by the transmitting power of the radio frequency power supply and the required power of the radio frequency power supply, forming a second dimension vector by the weight, height and age data of the human body, forming a third dimension vector by the temperature, air density and humidity data in the nutrition cavity, and transmitting the acquired data in the form of the three dimension vector.
Specifically, the specific steps of S2 are as follows:
S21, based on working data in a constructed historical database, extracting a plurality of groups of three-dimensional vectors, importing the data into a convolutional neural network calculation strategy, establishing data of required power of a radio frequency power supply, temperature, air density and humidity in a health maintenance cavity, and outputting the data as a convolutional neural network model of the transmitting power of the radio frequency power supply;
s22, dividing the acquired plurality of groups of three-dimensional vectors into a 70% duty ratio coefficient training set and a 30% duty ratio coefficient testing set; inputting a 70% duty ratio coefficient training set into parameters of the convolutional neural network model for training so as to obtain an initial convolutional neural network model; testing the initial convolutional neural network model by using a 30% duty ratio coefficient test set, and outputting an optimal initial convolutional neural network model meeting the accuracy of the radio frequency power supply emission power test as a convolutional neural network model;
S23, the formula of the convolutional neural network model is adapted to: Wherein a 1 is a temperature duty ratio, a 2 is an air density duty ratio, a 3 is a humidity duty ratio, T is an obtained temperature set value, S is an obtained air density set value, and L is obtained air humidity data.
Specifically, the specific steps of S3 are as follows:
S31, acquiring real-time personnel data, wherein the acquired data comprise weight, height and age data of a human body;
S32, guiding the height, weight and age of the human body into a calculation formula of the required power of the radio frequency power supply, and calculating the required power of the radio frequency power supply, wherein the calculation formula of the required power of the radio frequency power supply is as follows: Wherein P 2i is the power required by the radio frequency power supply, P 4i is a set radio frequency power supply requirement unit value, m is a set weight threshold, h is a set height threshold, k is a set age threshold, a 4 is a weight duty ratio coefficient, a 5 is a height duty ratio coefficient, and a 6 is an age duty ratio coefficient;
S33, power extraction is needed for the needed radio frequency power supply, and the power is transmitted to an input layer of the convolutional neural network.
Specifically, the specific steps of S4 include the following:
The specific steps of S4 include the following:
extracting a radio frequency power supply safety power range, and comparing the radio frequency power supply transmitting power under the working state of the calculated radio frequency power supply with the radio frequency power safety range:
And if the radio frequency power supply transmitting power is in the safe power range, adjusting the power to the radio frequency power supply transmitting power.
Specifically, the specific step of S5 is as follows:
s51, if the radio frequency power supply transmitting power is not in the safe power range, extracting the radio frequency power supply transmitting power and the safe power;
S52, transmitting the information of the transmitting power and the safe power of the radio frequency power supply to the staff, reminding the staff, and issuing an alarm command.
Specifically, a system for detecting pulse power of a radio frequency power supply is realized based on the method for detecting pulse power of the radio frequency power supply, and the system specifically comprises the following steps: the system comprises a control module, a data acquisition module, a working power calculation module, an alarm module, a power regulation module and a neural network model construction module, wherein the control module is used for controlling the data acquisition module, the working power calculation module, the alarm module, the power regulation module and the neural network model construction module to operate, the data acquisition module is used for acquiring real-time radio frequency power supply pulse power, environment and personnel data, the working power calculation module is used for calculating radio frequency power supply emission power according to the acquired environment and personnel data, the power regulation module is used for regulating the acquired real-time radio frequency power supply pulse power to the radio frequency power supply emission power, the alarm module is used for alarming the condition that the radio frequency power supply emission power is not in a safe power range, the neural network model construction module is used for extracting a plurality of three-dimensional vectors based on working data in a constructed historical database, guiding the data into a convolutional neural network calculation strategy, establishing a convolutional neural network model which is input as radio frequency power supply required power, temperature, air density and humidity data in a health maintenance cavity, and outputting the data as the radio frequency power supply emission power; the data acquisition module comprises a power acquisition unit, a personnel data acquisition unit and an environment data acquisition unit, wherein the power acquisition unit is used for acquiring real-time radio frequency power supply pulse power, the personnel data acquisition unit is used for acquiring weight, height and age data of a human body, and the environment data acquisition unit is used for acquiring temperature, air density and humidity data in a health maintenance cavity; the working power calculation module comprises a working power extraction unit, a working power comparison unit and a working power acquisition unit, wherein the working power extraction unit is used for extracting and outputting required radio frequency power source transmitting power, the working power acquisition unit is used for extracting a radio frequency power source safety power range, and the working power comparison unit is used for comparing the radio frequency power source transmitting power under the working state of the radio frequency power source obtained through calculation with the radio frequency power source safety range.
Specifically, the alarm module specifically comprises an audible and visual alarm unit and an alarm information transmission unit, wherein the audible and visual alarm unit is used for alarming the condition that the emission power of the radio frequency power supply is not in a safe power range, and the alarm information transmission unit is used for transmitting alarm information to staff to remind the staff to issue alarm commands.
Specifically, an electronic device includes: a processor and a memory, wherein the memory stores a computer program for the processor to call;
The processor executes the above-mentioned method for detecting the pulse power of the radio frequency power supply by calling the computer program stored in the memory.
Specifically, a computer readable storage medium stores instructions that, when executed on a computer, cause the computer to perform a method for detecting pulse power of a radio frequency power supply as described above.
Compared with the prior art, the invention has the beneficial effects that:
According to the invention, the power data is needed by the radio frequency power supply, personnel data and error environment data are collected, a historical database is constructed, a constructed neural network model is trained based on working data in the constructed historical database, real-time radio frequency power supply power is collected, temperature, air density and humidity data in a health maintenance cavity are input into the constructed neural network model, radio frequency power supply transmitting power is output, the radio frequency power supply transmitting power is compared with a radio frequency power supply safety power range, if the radio frequency power supply transmitting power is in the safety power range, the power is regulated to the radio frequency power supply transmitting power, if the radio frequency power supply transmitting power is not in the safety power range, workers are reminded to issue alarm commands, the accuracy of power release is further improved, and meanwhile damage to a human body caused by power release unbalance is avoided.
Drawings
FIG. 1 is a schematic flow chart of a method for detecting pulse power of a radio frequency power supply according to the present invention;
FIG. 2 is a schematic diagram showing a specific flow of step S3 of the method for detecting pulse power of a radio frequency power supply according to the present invention;
FIG. 3 is a schematic diagram of a system for detecting pulse power of a RF power source according to the present invention;
FIG. 4 is a schematic diagram of a data acquisition module of the RF power source pulse power detection system according to the present invention;
fig. 5 is a schematic diagram of a working power calculation module of the rf power source pulse power detection system according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments.
Example 1
Referring to fig. 1-2, an embodiment of the present invention is provided: the radio frequency power supply pulse power detection method comprises the following specific steps:
S1, collecting power data of a radio frequency power supply in a working state, collected by a power meter, and collecting personnel data and error environment data at the same time to construct a historical database;
In this embodiment, S1 includes the following specific steps:
S11, collecting radio frequency power source emission power in a radio frequency power source working state and radio frequency power source required power irradiated on a human body in a cavity, wherein the radio frequency power source emission power and the radio frequency power source required power are respectively counted as P 1i and P 2i;
S12, collecting the weight, height and age of a human body in the cavity, and respectively counting as mi, hi and ki;
wherein, the weight of the human body is collected by a weighing scale, and the height is collected by a measuring scale;
The weight, the height and the age are used as reference factors of the transmitting power, and the weight, the height and the age are important indexes of body health and cell activity, and the radio frequency pulse drives 60 trillion cells to resonate at the same frequency to generate internal diathermy;
S13, acquiring temperature, air density and humidity data in the health-care cavity, wherein the temperature, the air density and the humidity data are respectively counted as Ti, si and Li;
wherein, the temperature of the health maintenance cavity is collected by a temperature collection device, the air density is collected by an air density collection device, and the humidity is collected by a humidity collection device;
temperature, air density and humidity data are adopted as output indexes of the pulse power, and as the environmental factors can cause interference on the output of the pulse power, the temperature, air density and humidity data are selected as the output indexes of the pulse power to counteract the interference;
s14, classifying the acquired data and storing the classified acquired data in a historical database;
S15, forming a first dimension vector by the transmitting power of the radio frequency power supply and the required power of the radio frequency power supply, forming a second dimension vector by the weight, height and age data of a human body, forming a third dimension vector by the temperature, air density and humidity data in the nutrition cavity, and transmitting the acquired data in the form of the three dimension vector;
s2, training a constructed neural network model based on working data in a constructed historical database, and outputting radio frequency power supply transmitting power in a real working state of the radio frequency power supply;
The specific steps of S2 are as follows:
S21, based on working data in a constructed historical database, extracting a plurality of groups of three-dimensional vectors, importing the data into a convolutional neural network calculation strategy, establishing data of required power of a radio frequency power supply, temperature, air density and humidity in a health maintenance cavity, and outputting the data as a convolutional neural network model of the transmitting power of the radio frequency power supply;
S22, dividing the acquired plurality of groups of three-dimensional vectors into a 70% duty ratio coefficient training set and a 30% duty ratio coefficient testing set; inputting a 70% duty ratio coefficient training set into parameters of a convolutional neural network model for training to obtain an initial convolutional neural network model; testing the initial convolutional neural network model by using a 30% duty ratio coefficient test set, and outputting an optimal initial convolutional neural network model meeting the accuracy of the radio frequency power supply emission power test as a convolutional neural network model;
S23, the formula of the convolutional neural network model is adapted to: Wherein a 1 is a temperature duty ratio, a 2 is an air density duty ratio, a 3 is a humidity duty ratio, T is an obtained temperature set value, S is an obtained air density set value, L is obtained air humidity data, exp is an exponent of e;
Here we get by 5000 substitution fits of input data and output data, the optimal solution of a 1 is 0.24, the optimal solution of a 2 is 0.33, the optimal solution of a 2 is 0.43, we get the optimal solution of T to be 21.45 degrees celsius, the optimal value of L to be 45%, the optimal value of S to be 1.29kg/m3, so that our environmental real-time data are 25 degrees celsius, 53% and 1.29kg/m3, so we substitute P 2i = 500W to get
S3, acquiring real-time personnel data, calculating the required power of the radio frequency power supply in a required power calculation formula of the incoming radio frequency power supply, inputting the required power of the radio frequency power supply and error environment data into a constructed neural network model, and outputting the emission power of the radio frequency power supply;
the specific steps of S3 are as follows:
S31, acquiring real-time personnel data, wherein the acquired data comprise the weight, height and age of a human body;
S32, introducing the height, weight and age of the human body into a calculation formula of the required power of the radio frequency power supply, and calculating the required power of the radio frequency power supply, wherein the calculation formula of the required power of the radio frequency power supply is as follows: Wherein P 2i is the power required by the radio frequency power supply, P 4i is a set radio frequency power supply requirement unit value, m is a set weight threshold, h is a set height threshold, k is a set age threshold, a 4 is a weight duty ratio coefficient, a 5 is a height duty ratio coefficient, and a 6 is an age duty ratio coefficient; for men, the data of the height, the weight, the age and the power required by the radio frequency power supply of the corresponding human body provided by 500 experts in the field are imported into fitting software for fitting, so that the optimal value of a 4 is 0.43, the optimal value of a 5 is 0.20, the optimal value of a 6 is 0.37, the optimal value of m is 60, the optimal value of h is 175, the optimal value of age is 35, and the optimal value of P 4i is 500W; thus, we substitute the specific value of 180 height, 58kg weight and 35 age person to obtain
S33, extracting required power of a required radio frequency power supply, and transmitting the power to an input layer of a convolutional neural network;
S4, comparing the radio frequency power supply transmitting power with the radio frequency power supply safe power range, and if the radio frequency power supply transmitting power is in the safe power range, adjusting the power to the radio frequency power supply transmitting power;
The specific steps of S4 include the following:
s41, extracting and transmitting the radio frequency power supply emission power under the radio frequency power supply working state obtained through calculation in the step S33;
S42, extracting a radio frequency power supply safety power range, and comparing the calculated radio frequency power supply transmitting power under the working state of the radio frequency power supply with the radio frequency power safety range;
S43, if the radio frequency power supply transmitting power is in a safe power range, adjusting the power to the radio frequency power supply transmitting power;
S5, reminding a worker to issue an alarm command if the emission power of the radio frequency power supply is not in the safe power range.
The specific steps of S5 are as follows:
s51, if the radio frequency power supply transmitting power is not in the safe power range, extracting the radio frequency power supply transmitting power and the safe power;
S52, transmitting the information of the transmitting power and the safe power of the radio frequency power supply to the staff, reminding the staff, and issuing an alarm command.
The power data is needed by the acquired radio frequency power supply, personnel data and error environment data are collected, a historical database is built, a built neural network model is trained based on working data in the built historical database, real-time radio frequency power supply needed power, temperature, air density and humidity data in a health maintenance cavity are acquired, the built neural network model is input, radio frequency power supply transmitting power is output, the radio frequency power supply transmitting power is compared with a radio frequency power supply safe power range, if the radio frequency power supply transmitting power is in the safe power range, power is adjusted to the radio frequency power supply transmitting power, if the radio frequency power supply transmitting power is not in the safe power range, workers are reminded to issue alarm commands, the accuracy of power release is further improved, and meanwhile damage to a human body caused by power release unbalance is avoided.
Example 2
As shown in fig. 3-5, a radio frequency power supply pulse power detection system is implemented based on the radio frequency power supply pulse power detection method, which comprises a control module, a data acquisition module, a working power calculation module, an alarm module, a power adjustment module and a neural network model construction module, wherein the control module is used for controlling the operation of the data acquisition module, the working power calculation module, the alarm module, the power adjustment module and the neural network model construction module, the data acquisition module is used for acquiring real-time radio frequency power supply pulse power, environment and personnel data, the working power calculation module is used for calculating required radio frequency power supply emission power according to the acquired personnel data and the environment data, the power adjustment module is used for adjusting the acquired real-time radio frequency power supply pulse power to the required radio frequency power supply emission power, the alarm module is used for alarming the condition that the required radio frequency power supply is not in a safe power range, the neural network model construction module is used for extracting a plurality of sets of three-dimensional vectors based on working data in a constructed historical database, introducing the data into a convolutional neural network calculation strategy, and establishing and inputting the data into a convolutional network model which is the required radio frequency power supply power, temperature, air density and humidity data in a health maintenance cavity, and output as the radio frequency power supply emission power;
in this embodiment, the data acquisition module includes a power acquisition unit, a personnel data acquisition unit and an environmental data acquisition unit, the power acquisition unit is used for acquiring real-time radio frequency power pulse power, the personnel data acquisition unit is used for acquiring weight, height and age data of a human body, and the environmental data acquisition unit is used for acquiring temperature, air density and humidity data in the health maintenance cavity; the working power calculation module comprises a working power extraction unit, a working power comparison unit and a working power acquisition unit, wherein the working power extraction unit is used for extracting and outputting required radio frequency power source transmitting power, the working power acquisition unit is used for extracting a radio frequency power source safety power range, and the working power comparison unit is used for comparing the radio frequency power source transmitting power in the working state of the radio frequency power source obtained through calculation with the radio frequency power source safety range; the alarm module specifically comprises an audible and visual alarm unit and an alarm information transmission unit, wherein the audible and visual alarm unit is used for alarming the condition that the emission power of the radio frequency power supply is not in a safe power range, and the alarm information transmission unit is used for transmitting alarm information to staff to remind the staff to issue alarm commands.
Example 3
The present embodiment provides an electronic device including: a processor and a memory, wherein the memory stores a computer program for the processor to call;
the processor executes a method for detecting the pulse power of the radio frequency power supply by calling a computer program stored in the memory.
The electronic device may have a relatively large difference due to different configurations or performances, and may include one or more processors (Central Processing Units, CPU) and one or more memories, where at least one computer program is stored in the memories, and the computer program is loaded and executed by the processors to implement a method for detecting rf power pulse power provided by the above method embodiments. The electronic device can also include other components for implementing the functions of the device, for example, the electronic device can also have wired or wireless network interfaces, input-output interfaces, and the like, for inputting and outputting data. The present embodiment is not described herein.
Example 4
The present embodiment proposes a computer-readable storage medium having stored thereon an erasable computer program;
the computer program, when run on a computer device, causes the computer device to perform a method of rf power pulse power detection as described above.
For example, the computer readable storage medium can be Read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), compact disk Read-Only Memory (Compact Disc Read-Only Memory, CD-ROM), magnetic tape, floppy disk, optical data storage device, and the like.
It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application.
It should be understood that determining B from a does not mean determining B from a alone, but can also determine B from a and/or other information.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions in accordance with embodiments of the present invention are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another, for example, by way of wired or/and wireless networks from one website site, computer, server, or data center to another. Computer readable storage media can be any available media that can be accessed by a computer or data storage devices, such as servers, data centers, etc. that contain one or more collections of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely one, and there may be additional divisions in actual implementation, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (9)
1. The method for detecting the pulse power of the radio frequency power supply is characterized by comprising the following specific steps of:
S1, collecting power data of a radio frequency power supply in a working state, collected by a power meter, and collecting personnel data and error environment data at the same time to construct a historical database;
s2, training a constructed neural network model based on working data in a constructed historical database, and outputting power of the radio frequency power supply in a real working state;
S3, acquiring real-time personnel data, calculating the required power of the radio frequency power supply in a required power calculation formula of the incoming radio frequency power supply, inputting the required power of the radio frequency power supply and error environment data into a constructed neural network model, and outputting the emission power of the radio frequency power supply;
S4, comparing the radio frequency power supply transmitting power with the radio frequency power supply safe power range, and if the radio frequency power supply transmitting power is in the safe power range, adjusting the power to the radio frequency power supply transmitting power;
s5, reminding a worker to issue an alarm command if the emission power of the radio frequency power supply is not in the safe power range; the S1 comprises the following specific steps:
S11, collecting radio frequency power source emission power in a radio frequency power source working state and radio frequency power source required power irradiated on a human body in a cavity, wherein the radio frequency power source emission power and the radio frequency power source required power are respectively counted as P 1i and P 2i;
S12, collecting the weight, height and age of a human body in the cavity, and respectively counting as mi, hi and ki;
wherein, the weight of the human body is collected by a weighing scale, and the height is collected by a measuring scale;
S13, acquiring temperature, air density and humidity data in the health-care cavity, wherein the temperature, the air density and the humidity data are respectively counted as Ti, si and Li;
wherein, the temperature of the health maintenance cavity is collected by a temperature collection device, the air density is collected by an air density collection device, and the humidity is collected by a humidity collection device;
s14, classifying the acquired data and storing the classified acquired data in a historical database;
s15, forming a first dimension vector by the transmitting power of the radio frequency power supply and the required power of the radio frequency power supply, forming a second dimension vector by the weight, height and age data of a human body, forming a third dimension vector by the temperature, air density and humidity data in the nutrition cavity, and transmitting the acquired data in the form of the three dimension vector; the specific steps of the S2 are as follows:
S21, based on working data in a constructed historical database, extracting a plurality of groups of three-dimensional vectors, importing the data into a convolutional neural network calculation strategy, establishing data of required power of a radio frequency power supply, temperature, air density and humidity in a health maintenance cavity, and outputting the data as a convolutional neural network model of the transmitting power of the radio frequency power supply;
s22, dividing the acquired plurality of groups of three-dimensional vectors into a 70% duty ratio coefficient training set and a 30% duty ratio coefficient testing set; inputting a 70% duty ratio coefficient training set into parameters of the convolutional neural network model for training so as to obtain an initial convolutional neural network model; testing the initial convolutional neural network model by using a 30% duty ratio coefficient test set, and outputting an optimal initial convolutional neural network model meeting the accuracy of the radio frequency power supply emission power test as a convolutional neural network model;
S23, the formula of the convolutional neural network model is adapted to: Wherein a 1 is a temperature duty ratio, a 2 is an air density duty ratio, a 3 is a humidity duty ratio, T is an obtained temperature set value, S is an obtained air density set value, L is obtained air humidity data, exp is an exponent of e; the specific steps of the S3 are as follows:
S31, acquiring real-time personnel data, wherein the acquired data comprise the weight, height and age of a human body;
s32, introducing the height, weight and age of the human body into a calculation formula of the required power of the radio frequency power supply, and calculating the required power of the radio frequency power supply, wherein the calculation formula of the required power of the radio frequency power supply is as follows:
Wherein P 2i is the power required by the radio frequency power supply, P 4i is a set radio frequency power supply required unit value, m is a set weight threshold, h is a set height threshold, k is a set age threshold, a 4 is a weight duty ratio coefficient, a 5 is a height duty ratio coefficient, and a 6 is an age duty ratio coefficient;
s33, extracting the power required by the radio frequency power supply calculated in S32, and transmitting the power to an input layer of the convolutional neural network.
2. The method for detecting pulse power of radio frequency power supply according to claim 1, wherein the specific step of S4 comprises the following steps:
extracting a radio frequency power supply safety power range, and comparing the radio frequency power supply transmitting power under the working state of the calculated radio frequency power supply with the radio frequency power safety range:
And if the radio frequency power supply transmitting power is in the safe power range, adjusting the power to the radio frequency power supply transmitting power.
3. The method for detecting pulse power of radio frequency power supply according to claim 2, wherein the specific step of S5 is:
s51, if the radio frequency power supply transmitting power is not in the safe power range, extracting the radio frequency power supply transmitting power and the safe power;
S52, transmitting the information of the transmitting power and the safe power of the radio frequency power supply to the staff, reminding the staff, and issuing an alarm command.
4. A radio frequency power supply pulse power detection system realized based on the radio frequency power supply pulse power detection method according to any one of claims 1-3, and the radio frequency power supply pulse power detection system is characterized by comprising a control module, a data acquisition module, a working power calculation module, an alarm module, a power adjustment module and a neural network model construction module, wherein the control module is used for controlling the operation of the data acquisition module, the working power calculation module, the alarm module, the power adjustment module and the neural network model construction module, the data acquisition module is used for acquiring real-time radio frequency power supply pulse power, environment and personnel data, the working power calculation module is used for calculating radio frequency power supply emission power data according to the acquired environment and personnel data, the power adjustment module is used for adjusting the acquired real-time radio frequency power supply pulse power to radio frequency power supply emission power rate data, the alarm module is used for alarming the condition that the radio frequency power supply emission power is not in a safe power range, the neural network model construction module is used for extracting a plurality of sets of three-dimensional vectors based on the working data in a constructed historical database, introducing the data into a convolutional neural network calculation strategy, establishing input into radio frequency power supply required power, temperature, air density and humidity in a health maintenance cavity, and convoluting the radio frequency power supply emission power supply as the neural network.
5. The system of claim 4, wherein the data acquisition module comprises a power acquisition unit, a personnel data acquisition unit and an environmental data acquisition unit, wherein the power acquisition unit is used for acquiring real-time radio frequency power pulse power, the personnel data acquisition unit is used for acquiring weight, height and age data of a human body, and the environmental data acquisition unit is used for acquiring temperature, air density and humidity data in a health maintenance cavity.
6. The system for detecting pulse power of a radio frequency power supply according to claim 5, wherein the working power calculation module comprises a working power extraction unit, a working power comparison unit and a working power acquisition unit, the working power extraction unit is used for extracting and outputting the transmitting power of the radio frequency power supply, the working power acquisition unit is used for extracting the safe power range of the radio frequency power supply, and the working power comparison unit is used for comparing the transmitting power of the radio frequency power supply in the working state of the radio frequency power supply obtained through calculation with the safe power range of the radio frequency power supply.
7. The system for detecting pulse power of radio frequency power supply according to claim 6, wherein the alarm module specifically comprises an audible and visual alarm unit and an alarm information transmission unit, the audible and visual alarm unit is used for alarming a situation that the emission power of the radio frequency power supply is not in a safe power range, and the alarm information transmission unit is used for transmitting alarm information to staff to remind the staff and issue alarm commands.
8. An electronic device, comprising: a processor and a memory, wherein the memory stores a computer program for the processor to call;
The processor performs a method of radio frequency power source pulse power detection as claimed in any one of claims 1 to 3 by invoking a computer program stored in the memory.
9. A computer-readable storage medium, characterized by: instructions stored thereon which, when executed on a computer, cause the computer to perform a method of rf power pulse power detection as claimed in any one of claims 1 to 3.
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