CN117205442B - Control method and system of radio frequency pulse transmitting module - Google Patents
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Abstract
The invention discloses a control method and a system for a radio frequency pulse transmitting module, 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 control method and a control system of a radio frequency pulse transmitting module.
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 to strengthen the cell energy of the human bodies, the health of the human bodies is also energized, in the operation process of a health maintenance cabin, a radio frequency pulse emitting module releases pulse wave action with certain intensity and the human bodies under the action of a controller, certain problems exist in the control of the conventional radio frequency pulse emitting module, the physical condition of a user cannot be collected, the pulse intensity of radio frequency pulse cannot be reasonably regulated according to the physical condition of the user, the treatment effect on the user is poor, and the problems exist in the prior art;
A C-band transceiver system based on chirped interrupted continuous wave is disclosed, for example, in chinese patent application publication No. CN112014803 a. The invention combines the emission control switch, the first local oscillation module, the radio frequency emission module, the receiving and transmitting antenna, the local oscillation source phase-locked loop, the local oscillation source radio frequency amplifier, the local oscillation source band-pass filter, the equal power divider, the receiving control switch, the radio frequency receiving module, the second local oscillation module and the intermediate frequency output module together for comprehensive design, and is drawn on a circuit board, thereby realizing miniaturization and portability of the C-band radar receiving and transmitting assembly. According to the invention, the radar main board system controls the transmitting control switch according to the transmitting gating pulse and the receiving gating pulse to control the receiving control switch, the linear frequency modulation interruption continuous wave is obtained by using the gating pulse sequence, the receiving channel does not work when the radio frequency signal is transmitted, and the receiving channel receives the echo signal when the radio frequency signal is not transmitted. The invention has the advantages that the signal-to-noise ratio of the radio frequency signals transmitted by the transceiver component system and the intermediate frequency echo signals is improved;
Meanwhile, for example, in chinese patent with application publication number CN116106832a, an X-band power amplification system based on an eight-port rf pulse amplitude control microstrip network is provided, and the system is composed of a power amplification driving and sampling comparison module, an eight-port rf pulse amplitude control microstrip network module, a power amplification module, and a power amplifier control and power supply module; the linear frequency modulation pulse signal generated by the radar transmitter is input to a power amplification driving and sampling comparison module, and is amplified and output by a power amplification module through an eight-port radio frequency pulse amplitude control microstrip network module; the power amplifier control and power supply module controls and supplies power to the whole system. According to the invention, the eight-port-based radio frequency pulse amplitude control microstrip network is embedded in the radar power amplification system, the amplitude of a radar radio frequency pulse envelope signal is directly controlled in the solid-state power amplifier, the amplitude of a pulse compression signal sidelobe in a final receiver is reduced, the detection capability of a radar on a small target and the display effect of radar echo are improved, and the cost and the design complexity of a radar transmitter are reduced.
The problems proposed in the background art exist in the above patents: the control of the existing radio frequency pulse transmitting module has a certain problem that the physical condition of a user cannot be acquired, the pulse intensity of the radio frequency pulse cannot be reasonably regulated according to the physical condition of the user, 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 control method and a control system of a radio frequency pulse transmitting module, the invention extracts transmitting power and pulse transmitting intensity data of the radio frequency pulse transmitting module, simultaneously collects input voltage and input current data of radio frequency pulses, trains a built neural network model based on working data in a built historical database, outputs the pulse transmitting intensity transmitted by the radio frequency transmitting module, guides the required pulse transmitting intensity into transmitting power calculation to calculate the required transmitting power, extracts the required transmitting power, substitutes the required transmitting power into an input voltage-input current calculation formula, calculates the required transmitting power, acquires adjusting values of the required voltage and current, guides the adjusting values of the voltage and current into an adjusting strategy to calculate the adjusting specific values, acquires the adjusting specific values, controls the corresponding parameter adjusting specific values, thus controlling the pulse transmitting intensity through the basic condition of personnel, further enhancing the effectiveness of treatment, and simultaneously controlling the voltage and the current to be always in a safe range through the adjusting strategy, and prolonging the service life.
In order to achieve the above purpose, the present invention provides the following technical solutions:
the control method of the radio frequency pulse transmitting module comprises the following specific steps:
S1, extracting transmitting power and pulse transmitting intensity data of a radio frequency pulse transmitting module, and collecting input voltage and input current data of radio frequency pulses;
s2, training a constructed neural network model based on working data in a constructed historical database, and outputting pulse emission intensity required to be sent by a radio frequency emission module;
s3, leading the required pulse emission intensity into emission power calculation to calculate required emission power;
S4, extracting required transmission power, substituting the required transmission power into an input voltage-input current calculation formula, and calculating to obtain required transmission power, and adjusting values of required voltage and current;
S5, leading the regulating values of the voltage and the current into a regulating strategy to calculate regulating specific values, obtaining the regulating specific values, and controlling the corresponding parameter regulating specific values.
Specifically, the step S1 includes the following specific steps:
S11, measuring the transmitting power data of the radio frequency pulse transmitting module by using a power meter, and simultaneously monitoring the pulse intensity of the radio frequency pulse transmitting module by using a transmitting intensity detector;
S12, acquiring the input voltage of the radio frequency pulse transmitting module by using a voltage acquisition component, and acquiring the input current of the radio frequency pulse transmitting module by using a current acquisition component;
S13, collecting the weight, the height and the age of the person, and collecting the average heart rate and the average blood pressure of the person, wherein the specific calculation mode of the average blood pressure is as follows: taking the average value of the measured blood pressure of the person for nearly one week, and specifically calculating the average heart rate by the following steps: taking an average of the heart rate measurements of the person over the last week;
s14, forming a first dimension vector by the transmitting power and the pulse intensity, forming a second dimension vector by the weight, the height, the age average heart rate and the average blood pressure data of the personnel, forming a third dimension vector by the input voltage and the input current data of the radio frequency pulse transmitting module, and transmitting the acquired data in the form of the three dimension vector.
Specifically, the specific steps of S2 are as follows:
S21, extracting a traditional three-dimensional vector construction historical database, extracting a plurality of groups of three-dimensional vectors based on working data in the constructed historical database, importing the data into a neural network calculation strategy, establishing data input into weight h, height S, age z, average heart rate t and average blood pressure p of a person, and outputting a convolutional neural network model of pulse emission intensity required to be sent by a radio frequency emission module;
S22, dividing the extracted 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 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 neural network model meeting the test accuracy of the pulse emission intensity required to be sent by the radio frequency emission module as a neural network model;
s23, a specific model formula of the neural network model is as follows:
wherein, K 1 is the pulse emission intensity required to be sent by the radio frequency emission module, K 2 is the pulse emission intensity set value required to be set, a 1 is the weight ratio coefficient of the human body, a 2 is the age ratio coefficient of the human body, a 3 is the height ratio coefficient of the human body, a 4 is the average heart rate ratio coefficient of the human body, a 5 is the average blood pressure ratio coefficient, Setting for the required age,/>For the desired weight setting,/>Setting a value for the required height,/>Set value for the required average heart rate,/>Exp is the power of e for the required average blood pressure set value;
s24, extracting a neural network model after training, extracting weight h, height S, age z, average heart rate t and average blood pressure p data of a person to be treated, and outputting a pulse emission intensity value sent by a required radio frequency emission module.
Specifically, the specific steps of the transmit power calculation strategy in S3 are as follows:
S31, acquiring a pulse emission intensity value K 1 sent by a required radio frequency emission module, and simultaneously extracting and transmitting an area required by pulse emission;
S32, importing a pulse emission intensity value K 1 sent by a required radio frequency emission module into a required power calculation formula to calculate required power;
S33, wherein the power calculation formula is p=k1s1, where S1 is the area required for pulse emission.
Specifically, the specific steps of S4 include the following:
S41, extracting required power P, bringing the required power P into an input voltage-input current calculation formula, extracting the input voltage and the input current at the moment, and simultaneously extracting a safe input voltage range and a safe input current range when the equipment normally operates;
s42, the power calculation formula is as follows: p=ui, where U is an input voltage, I is an input current, and a voltage adjustment value required when power needs to be adjusted is obtained, where a calculation formula of the voltage adjustment value is: Wherein DeltaU is a voltage regulation value, P i is the output power of the existing equipment, and meanwhile, a current regulation value required when the regulated power is required is obtained, and a calculation formula of the current regulation value is as follows: /(I) Where ΔI is the current regulation value.
Specifically, the specific steps of the adjustment strategy in S5 are as follows:
S51, collecting a voltage regulating value, a current regulating value, a safety input voltage range and a safety input current range, calculating the intermediate value of the safety input voltage range and the safety input current range to obtain a voltage safety median Uz and a current safety median Iz, wherein the calculation formula of the median is the maximum value plus the minimum value of the safety range, and dividing by 2;
S52, calculating whether the regulated current and voltage values are in a safety range, if both the regulated current and voltage values are in the safety range, performing S53, if one of the regulated current and voltage values is in the safety range, performing S54, and if both the regulated current and voltage values are not in the safety range, performing S55;
S53, calculating a current distance value between the regulated current value and a current safety median Iz, and a voltage distance value between the voltage value and a voltage safety median Uz, wherein a calculation formula of the current distance value is as follows: the calculation formula of the voltage distance value is as follows: /(I) Comparing the current distance value with the voltage distance value, adjusting the small corresponding parameters of the current distance value and the voltage distance value to the adjusted corresponding values, and ending;
s54, adjusting the parameters in the safety range to the adjusted corresponding values, and ending;
S55, calculating a current distance value between the regulated current value and a current safety median Iz, and a voltage distance value between the voltage value and a voltage safety median Uz, wherein a calculation formula of the current distance value is as follows: the calculation formula of the voltage distance value is as follows: /(I) Comparing the current distance value and the voltage distance value, adjusting the small corresponding parameters of the current distance value and the voltage distance value to the extreme value of the adjusted safety range value, adjusting the other value, if the other value is not in the safety range, not adjusting, alarming to show that the person cannot perform pulse treatment, and if the other value is in the safety range, performing operation control.
The control system comprises a control module, a data acquisition module, a required power calculation module, a display module, an adjustment value calculation module and a neural network model construction module, wherein the control module is used for controlling the operation of the data acquisition module, the required power calculation module, the display module, the adjustment value calculation module and the neural network model construction module, controlling the pulse emission intensity through the input of control voltage and current, the data acquisition module is used for acquiring the power data of the pulse emission module, the basic data of a therapeutic person, the pulse intensity data and the current data and the voltage data of the pulse emission module, the required power calculation module is used for leading the data of the person into the neural network model to output required pulse intensity values, leading the pulse intensity values into a transmission power calculation strategy to calculate required transmission power, the display module is used for displaying the acquired data of the data acquisition module, the adjustment value calculation module is used for calculating the voltage and the current adjustment value, and the neural network model construction module is used for training the neural network model based on the working data in a constructed historical database.
Specifically, the data acquisition module comprises a power acquisition unit, a personnel data acquisition unit, a pulse intensity acquisition unit and a current-voltage acquisition unit, wherein the power acquisition unit is used for acquiring pulse power values sent by the radio frequency transmission module, the personnel data acquisition unit is used for acquiring weight h, height s, age z, average heart rate t and average blood pressure p data of a person to be treated, the pulse intensity acquisition unit is used for acquiring real-time pulse intensity of the radio frequency transmission module, and the current-voltage acquisition unit is used for acquiring current and voltage values of the radio frequency transmission module.
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 control method of the radio frequency pulse transmitting module 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 controlling a radio frequency pulse transmitting module as described above.
Compared with the prior art, the invention has the beneficial effects that:
The invention extracts the transmitting power and the pulse transmitting intensity data of the radio frequency pulse transmitting module, simultaneously acquires the input voltage and the input current data of the radio frequency pulse, trains the constructed neural network model based on the working data in the constructed history database, outputs the pulse transmitting intensity transmitted by the radio frequency transmitting module, guides the required pulse transmitting intensity into the transmitting power calculation to calculate the required transmitting power, extracts the required transmitting power, substitutes the required transmitting power into an input voltage-input current calculation formula, calculates the required transmitting power, guides the required regulating values of the voltage and the current into a regulating strategy to calculate the regulating specific values, obtains the regulating specific values, controls the corresponding parameter regulating specific values, thus controlling the pulse transmitting intensity through the basic condition of personnel, further enhancing the effectiveness of treatment, and simultaneously regulating and controlling the voltage and the current through the regulating strategy, so that the voltage and the current are always in a safe range, and the service life is prolonged.
Drawings
FIG. 1 is a flow chart of a control method of a radio frequency pulse transmitting module according to the present invention;
FIG. 2 is a schematic diagram of a specific flow of step S2 of the control method of the RF pulse transmitting module of the present invention;
FIG. 3 is a schematic diagram of a control system of the RF pulse transmitting module according to the present invention;
fig. 4 is a schematic diagram of a control system data acquisition module of the rf pulse transmitting module of 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 control method of the radio frequency pulse transmitting module comprises the following specific steps:
S1, extracting transmitting power and pulse transmitting intensity data of a radio frequency pulse transmitting module, and collecting input voltage and input current data of radio frequency pulses;
it should be noted that, S1 includes the following specific steps:
S11, measuring the transmitting power data of the radio frequency pulse transmitting module by using a power meter, and simultaneously monitoring the pulse intensity of the radio frequency pulse transmitting module by using a transmitting intensity detector;
the power meter is used for collecting the average power of 1 second as the transmitting power of the radio frequency pulse transmitting module, so that inaccurate monitoring caused by the disturbance of the transmitting power is avoided;
S12, acquiring the input voltage of the radio frequency pulse transmitting module by using a voltage acquisition component, and acquiring the input current of the radio frequency pulse transmitting module by using a current acquisition component;
The current and the voltage are adopted as two adjustment values of the radio frequency pulse transmitting module, and the transmitting power of the radio frequency pulse transmitting module is in direct proportion to the current and the voltage.
S13, collecting the weight, the height and the age of the person, and collecting the average heart rate and the average blood pressure of the person, wherein the specific calculation mode of the average blood pressure is as follows: taking the average value of the measured blood pressure of the person for nearly one week, and specifically calculating the average heart rate by the following steps: taking an average of the heart rate measurements of the person over the last week;
The average of the measured blood pressure of the last week and the average of the measured heart rate of the last week are used as references here, since the physical parameters of the person in a certain short time cannot represent the physical quality of the person;
S14, forming a first dimension vector by the transmitting power and the pulse intensity, forming a second dimension vector by the weight, the height, the age average heart rate and the average blood pressure data of the personnel, forming a third dimension vector by the input voltage and the input current data of the radio frequency pulse transmitting module, and transmitting the acquired data in the form of a three-dimension vector;
s2, training a constructed neural network model based on working data in a constructed historical database, and outputting pulse emission intensity required to be sent by a radio frequency emission module;
the specific steps of S2 are as follows:
S21, extracting a traditional three-dimensional vector construction historical database, extracting a plurality of groups of three-dimensional vectors based on working data in the constructed historical database, importing the data into a neural network calculation strategy, establishing data input into weight h, height S, age z, average heart rate t and average blood pressure p of a person, and outputting a convolutional neural network model of pulse emission intensity required to be sent by a radio frequency emission module;
S22, dividing the extracted 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 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 neural network model meeting the test accuracy of the pulse emission intensity required to be sent by the radio frequency emission module as a neural network model;
s23, a specific model formula of the neural network model is as follows:
Wherein, K 1 is the pulse emission intensity required to be sent by the radio frequency emission module, K 2 is the pulse emission intensity set value required to be set, a 1 is the weight ratio coefficient of a human body, a 2 is the age ratio coefficient of a human body, a 3 is the height ratio coefficient of a human body, a 4 is the average heart rate ratio coefficient of a human body, a 5 is the average blood pressure ratio coefficient,/> Setting for the required age,/>For the desired weight setting,/>Setting a value for the required height,/>Set value for the required average heart rate,/>Exp is the power of e for the required average blood pressure set value;
Here we get through 5000 personnel data substituting neural network model continuous training test, the pulse emission intensity setting value to be set is 48.75W/m 2, the personnel weight is 0.21, the personnel age is 0.03, the personnel height is 0.32, the personnel average heart rate is 0.23, the average blood pressure is 0.21, the age setting value to be required 45, the weight setting value to be required 60, the height setting value to be required 170, the average heart rate setting value to be required 90, and the average blood pressure setting value to be required 115;
s24, extracting a neural network model after training, extracting weight h, height S, age z, average heart rate t and average blood pressure p data of a person to be treated, and outputting a pulse emission intensity value sent by a required radio frequency emission module;
here, by way of a specific example, the calculation of the pulse emission intensity value is carried out, here we extract a person with a weight of 60kg, a height of 180cm, an age of 35, an average heart rate of 85, an average blood pressure of 115, calculated by substitution into the formula,
S3, leading the required pulse emission intensity into emission power calculation to calculate required emission power;
It should be noted that the specific steps of the transmit power calculation strategy in S3 are as follows:
S31, acquiring a pulse emission intensity value K 1 sent by a required radio frequency emission module, and simultaneously extracting and transmitting an area required by pulse emission;
S32, importing a pulse emission intensity value K 1 sent by a required radio frequency emission module into a required power calculation formula to calculate required power;
S33, wherein the power calculation formula is P=K1s1, and S1 is the area required by pulse emission; here we extract the cabin interior area for health maintenance, which is mostly 2 x 1m, so we get the power 97W;
S4, extracting required transmission power, substituting the required transmission power into an input voltage-input current calculation formula, and calculating to obtain required transmission power, and adjusting values of required voltage and current;
It should be noted that the specific steps of S4 include the following:
S41, extracting required power P, taking the required power P into an input voltage-input current calculation formula, extracting the input voltage and the input current at the moment, and simultaneously extracting a safe input voltage range and a safe input current range when the equipment normally operates, wherein the safe input voltage range is 50V-80V, and the safe input current range is 1.2A-2A;
s42, the power calculation formula is as follows: p=ui, where U is an input voltage, I is an input current, and a voltage adjustment value required when power needs to be adjusted is obtained, where a calculation formula of the voltage adjustment value is: Wherein DeltaU is a voltage regulation value, P i is the output power of the existing equipment, and meanwhile, a current regulation value required when the regulated power is required is obtained, and a calculation formula of the current regulation value is as follows: /(I) Wherein Δi is a current adjustment value;
Here, we will describe by way of specific example that the required power is 97W, the original power is 77W, the original current is 1.2A, and the original voltage is 63V, so that the voltage regulation value is 16.67V, and the current regulation value is 0.317A;
s5, importing the adjustment values of the voltage and the current into an adjustment strategy to calculate an adjustment specific value, obtaining the adjustment specific value, and controlling the corresponding parameter adjustment specific value;
it should be noted that the specific steps of the adjustment strategy in S5 are as follows:
S51, collecting a voltage regulating value, a current regulating value, a safety input voltage range and a safety input current range, calculating the intermediate value of the safety input voltage range and the safety input current range to obtain a voltage safety median Uz and a current safety median Iz, wherein the calculation formula of the median is the maximum value plus the minimum value of the safety range, and dividing by 2;
S52, calculating whether the regulated current and voltage values are in a safety range, if both the regulated current and voltage values are in the safety range, performing S53, if one of the regulated current and voltage values is in the safety range, performing S54, and if both the regulated current and voltage values are not in the safety range, performing S55;
S53, calculating a current distance value between the regulated current value and a current safety median Iz, and a voltage distance value between the voltage value and a voltage safety median Uz, wherein a calculation formula of the current distance value is as follows: the calculation formula of the voltage distance value is as follows: /(I) Comparing the current distance value with the voltage distance value, adjusting the small corresponding parameters of the current distance value and the voltage distance value to the adjusted corresponding values, and ending;
s54, adjusting the parameters in the safety range to the adjusted corresponding values, and ending;
S55, calculating a current distance value between the regulated current value and a current safety median Iz, and a voltage distance value between the voltage value and a voltage safety median Uz, wherein a calculation formula of the current distance value is as follows: the calculation formula of the voltage distance value is as follows: /(I) Comparing the current distance value and the voltage distance value, adjusting the corresponding parameters in the current distance value and the voltage distance value to the extreme value of the adjusted safety range value, adjusting the other value, if the other value is not in the safety range, not adjusting, alarming to show that the person cannot perform pulse treatment, and if the other value is in the safety range, performing operation control;
substituting the data into us yields iz=1.6a, uz=65v, So we regulate the current.
The method comprises the steps of extracting transmission power and pulse transmission intensity data of a radio frequency pulse transmission module, collecting input voltage and input current data of radio frequency pulses, training a built neural network model based on working data in a built historical database, outputting pulse transmission intensity required to be transmitted by the radio frequency transmission module, guiding the required pulse transmission intensity into transmission power calculation to calculate required transmission power, extracting the required transmission power, substituting the required transmission power into an input voltage-input current calculation formula, calculating to obtain required transmission power, regulating values of required voltage and current, guiding the regulating values of the voltage and current into a regulation strategy to calculate the regulating specific values, obtaining the regulating specific values, controlling the corresponding parameter regulating specific values, controlling the pulse transmission intensity through basic conditions of personnel, further enhancing treatment effectiveness, regulating and controlling the voltage and the current through the regulation strategy, enabling the voltage and the current to be always in a safe range, and prolonging service life.
Example 2
As shown in fig. 3 to fig. 4, a control system of a radio frequency pulse transmitting module is implemented based on the control method of the radio frequency pulse transmitting module, which includes a control module, a data acquisition module, a required power calculation module, a display module, an adjustment value calculation module and a neural network model building module, wherein the control module is used for controlling the operation of the data acquisition module, the required power calculation module, the display module, the adjustment value calculation module and the neural network model building module, and controlling the pulse transmitting intensity by controlling the input of voltage and current, the data acquisition module is used for acquiring the power data of the pulse transmitting module, the basic data of a therapeutic person, the pulse intensity data, the current data of the pulse transmitting module and the voltage data, the required power calculation module is used for leading the data of the person into the neural network model to output required pulse intensity values, and leading the pulse intensity values into a transmitting power calculation strategy to calculate required transmitting power, the display module is used for displaying the acquired data of the data acquisition module, the adjustment value calculation module is used for calculating the voltage and the current adjustment value, and the neural network model building module is used for training the built neural network model based on working data in a built database;
In this embodiment, the data acquisition module includes a power acquisition unit, a personnel data acquisition unit, a pulse intensity acquisition unit and a current-voltage acquisition unit, the power acquisition unit is used for acquiring a pulse power value sent by the radio frequency transmission module, the personnel data acquisition unit is used for acquiring weight h, height s, age z, average heart rate t and average blood pressure p data of a person to be treated, the pulse intensity acquisition unit is used for acquiring real-time pulse intensity of the radio frequency transmission module, and the current-voltage acquisition unit is used for acquiring current and voltage values of the radio frequency transmission module.
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 control method of the radio frequency pulse transmitting module 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 control method of a radio frequency pulse transmitting module provided in the above method embodiment. 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;
when the computer program runs on the computer equipment, the computer equipment is caused to execute the control method of the radio frequency pulse transmitting module.
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 (10)
1. The control method of the radio frequency pulse transmitting module is characterized by comprising the following specific steps of:
S1, extracting transmitting power and pulse transmitting intensity data of a radio frequency pulse transmitting module, and collecting input voltage and input current data of radio frequency pulses;
s2, training a constructed neural network model based on working data in a constructed historical database, and outputting pulse emission intensity required to be sent by a radio frequency emission module;
s3, importing the required pulse emission intensity into an emission power calculation formula to calculate and output required emission power;
S4, extracting the required transmitting power, substituting the required transmitting power into an input voltage-input current calculation formula, and calculating to obtain the voltage and current regulation value required by the required transmitting power;
S5, importing the adjustment values of the voltage and the current into an adjustment strategy to calculate an adjustment specific value, obtaining the adjustment specific value, and controlling the corresponding parameter adjustment specific value; the S1 comprises the following specific steps:
S11, measuring the transmitting power data of the radio frequency pulse transmitting module by using a power meter, and simultaneously monitoring the pulse intensity of the radio frequency pulse transmitting module by using a transmitting intensity detector;
S12, acquiring the input voltage of the radio frequency pulse transmitting module by using a voltage acquisition component, and acquiring the input current of the radio frequency pulse transmitting module by using a current acquisition component;
s13, collecting the weight, the height and the age of the person, and collecting the average heart rate and the average blood pressure of the person, wherein the specific calculation mode of the average blood pressure is as follows: taking an average value of blood pressure measured by the person for nearly one week; the specific calculation mode of the average heart rate is as follows: taking an average of the heart rate measurements of the person over the last week;
S14, forming a first dimension vector by the transmitting power and the pulse intensity, forming a second dimension vector by the weight, the height, the age average heart rate and the average blood pressure data of the personnel, forming a third dimension vector by the input voltage and the input current data of the radio frequency pulse transmitting module, and transmitting the acquired data in the form of a three-dimension vector; the specific steps of the S2 are as follows:
S21, extracting a traditional three-dimensional vector construction historical database, extracting a plurality of groups of three-dimensional vectors based on working data in the constructed historical database, importing the data into a neural network calculation strategy, establishing data input into weight h, height S, age z, average heart rate t and average blood pressure p of a person, and outputting a convolutional neural network model of pulse emission intensity required to be sent by a radio frequency emission module;
S22, dividing the extracted 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 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 neural network model meeting the test accuracy of the pulse emission intensity required to be sent by the radio frequency emission module as a neural network model;
s23, a specific model formula of the neural network model is as follows:
wherein, K 1 is the pulse emission intensity required to be sent by the radio frequency emission module, K 2 is the pulse emission intensity set value required to be set, a 1 is the weight ratio coefficient of the human body, a 2 is the age ratio coefficient of the human body, a 3 is the height ratio coefficient of the human body, a 4 is the average heart rate ratio coefficient of the human body, a 5 is the average blood pressure ratio coefficient, Setting for the required age,/>For the desired weight setting,/>Setting a value for the required height,/>Set value for the required average heart rate,/>Exp is the power of e for the required average blood pressure set value;
s24, extracting a neural network model after training, extracting weight h, height S, age z, average heart rate t and average blood pressure p data of a person to be treated, and outputting a pulse emission intensity value sent by a required radio frequency emission module.
2. The method for controlling a radio frequency pulse transmitting module according to claim 1, wherein the specific steps of the transmit power calculation strategy in S3 are as follows:
S31, acquiring a pulse emission intensity value K 1 sent by a required radio frequency emission module, and simultaneously extracting and transmitting an area required by pulse emission;
S32, importing a pulse emission intensity value K 1 sent by a required radio frequency emission module into a required power calculation formula to calculate required power;
The power calculation formula is p=k1s1, where s1 is the area required for pulse transmission, and P represents the required transmission power.
3. The method for controlling a radio frequency pulse transmitting module according to claim 2, wherein the specific step of S4 comprises the following steps:
s41, extracting the required transmitting power P, bringing the required transmitting power P into an input voltage-input current calculation formula, extracting the input voltage and the input current at the current moment, and extracting a safe input voltage range and a safe input current range when the equipment normally operates;
s42, the power calculation formula is as follows: p=ui, where U is an input voltage, I is an input current, and a voltage adjustment value required when power needs to be adjusted is obtained, where a calculation formula of the voltage adjustment value is: Wherein DeltaU is a voltage regulation value, P i is the output power of the existing equipment, and meanwhile, a current regulation value required when the regulated power is required is obtained, and a calculation formula of the current regulation value is as follows: /(I) Where ΔI is the current regulation value.
4. The method for controlling a radio frequency pulse transmitting module according to claim 3, wherein the specific steps of the adjustment strategy in S5 are as follows:
S51, collecting a voltage regulating value, a current regulating value, a safety input voltage range and a safety input current range, and calculating intermediate values of the safety input voltage range and the safety input current range to obtain a voltage safety median Uz and a current safety median Iz;
S52, calculating whether the regulated current and voltage values are in a safety range, if both the regulated current and voltage values are in the safety range, performing S53, if one of the regulated current and voltage values is in the safety range, performing S54, and if both the regulated current and voltage values are not in the safety range, performing S55;
S53, calculating a current distance value between the regulated current value and a current safety median Iz, and a voltage distance value between the voltage value and a voltage safety median Uz, wherein a calculation formula of the current distance value is as follows: the calculation formula of the voltage distance value is as follows: /(I) Comparing the current distance value with the voltage distance value, adjusting the small corresponding parameters of the current distance value and the voltage distance value to the adjusted corresponding values, and ending;
s54, adjusting the parameters in the safety range to the adjusted corresponding values, and ending;
S55, calculating a current distance value between the regulated current value and a current safety median Iz, and a voltage distance value between the voltage value and a voltage safety median Uz, wherein a calculation formula of the current distance value is as follows: the calculation formula of the voltage distance value is as follows: /(I) Comparing the current distance value and the voltage distance value, adjusting the small corresponding parameters of the current distance value and the voltage distance value to the extreme value of the adjusted safety range value, adjusting the other value, if the other value is not in the safety range, not adjusting, alarming to show that the person cannot perform pulse treatment, and if the other value is in the safety range, performing operation control.
5. A control system of a radio frequency pulse transmitting module, which is realized based on the control method of the radio frequency pulse transmitting module according to any one of claims 1 to 4, and is characterized by comprising a control module, a data acquisition module, a required power calculation module, a display module, an adjustment value calculation module and a neural network model construction module, wherein the control module is used for controlling the operation of the data acquisition module, the required power calculation module, the display module, the adjustment value calculation module and the neural network model construction module, and controlling the pulse transmitting intensity through the input of control voltage and current, and the data acquisition module is used for acquiring the power data of the pulse transmitting module, the basic data of a therapist, the pulse intensity data and the current data and the voltage data of the pulse transmitting module.
6. The control system of the radio frequency pulse transmitting module according to claim 5, wherein the required power calculating module is used for inputting personnel data into the neural network model to output required pulse intensity values, and inputting the pulse intensity values into a transmitting power calculating strategy to calculate required transmitting power, the display module is used for displaying acquired data of the data acquisition module, the regulating value calculating module is used for calculating voltage and current regulating values, and the neural network model constructing module is used for training the constructed neural network model based on working data in the constructed historical database.
7. The control system of the radio frequency pulse transmitting module according to claim 6, wherein the data acquisition module comprises a power acquisition unit, a personnel data acquisition unit, a pulse intensity acquisition unit and a current-voltage acquisition unit, wherein the power acquisition unit is used for acquiring pulse power values sent by the radio frequency transmitting module, and the personnel data acquisition unit is used for acquiring weight h, height s, age z, average heart rate t and average blood pressure p data of a person to be treated.
8. The control system of the rf pulse transmitting module as set forth in claim 7, wherein the pulse intensity acquisition unit is configured to acquire a real-time pulse intensity of the rf transmitting module, and the current-voltage acquisition unit is configured to acquire current and voltage values of the rf transmitting module.
9. 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 control method of a radio frequency pulse transmission module according to any one of claims 1-4 by invoking a computer program stored in the memory.
10. A computer-readable storage medium, characterized by: instructions stored thereon which, when executed on a computer, cause the computer to perform a method of controlling a radio frequency pulse transmission module according to any one of claims 1 to 4.
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