CN117899370B - Radio frequency internal diathermy health care equipment management system based on the Internet of Things - Google Patents
Radio frequency internal diathermy health care equipment management system based on the Internet of Things Download PDFInfo
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- A61N1/00—Electrotherapy; Circuits therefor
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Abstract
The invention discloses a radio frequency internal diathermy health care equipment management system based on the Internet of things, which relates to the technical field of intelligent temperature control, solves the problem of poor effect of the whole physiotherapy process caused by low speed of radio frequency parameters during adjustment, fully reduces the preparation time of health care equipment by enabling the health care equipment to reach the highest power rapidly and slowly reduces the preparation time in the subsequent physiotherapy process, the radio frequency output power can be gradually reduced after high power is started at first, so that a human body is kept in a hot state, and gradual analysis and treatment are sequentially carried out, so that the generated radio frequency power is most suitable for corresponding personnel, the working parameters and the working state of the health-care equipment can be optimized, and the power change logic of the working process is determined according to a past change curve, so that a better health-care equipment management effect is achieved.
Description
Technical Field
The invention relates to the technical field of intelligent temperature control, in particular to a radio frequency internal diathermy health care equipment management system based on the Internet of things.
Background
The radio frequency output power is regulated for different individuals through the modes of intelligent temperature control, remote control, temperature early warning, data transmission and the like, so that the irreversible damage of skin, cells and nerve tissues caused by the fact that radio frequency equipment acts on improper operation of a human body is solved.
The radio frequency gynecological physiotherapy instrument comprises a 360-degree surrounding field radiator, a 40.68MHz solid-state power source, a control circuit and a power supply which are sequentially connected, wherein the 360-degree surrounding field radiator comprises a sealing shell, a sealing cover, a power wire, a temperature measuring wire, a columnar spiral wire and a temperature sensor, the sealing cover is fixed at an end opening of the sealing shell, the sealing shell and the sealing cover 2 form a closed space, water-soluble liquid is filled in the sealing shell, the columnar spiral wire and the temperature sensor are both arranged in the sealing shell, the power wire penetrates through the sealing cover from the outside of the sealing shell and is connected with the columnar spiral wire, and the temperature measuring wire penetrates through the sealing cover from the outside of the sealing shell and is connected with the temperature sensor. The physiotherapy instrument utilizes 360-degree surrounding field radiator to uniformly heat in the body, adopts the mode of in-vivo radio frequency noninvasive treatment creatively, has better radio frequency penetrability, stable frequency, uniform heating and obvious treatment effect.
The original radio frequency treatment mode adopts fixed radio frequency parameters to heat different people for physiotherapy, which causes discomfort of partial people, and the radio frequency parameters of corresponding equipment are slow in the adjustment process in the execution process, so that the effect of the whole physiotherapy process is poor.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a radio frequency internal diathermy health care equipment management system based on the Internet of things, which solves the problem that the effect of the whole physiotherapy process is poor due to the fact that the radio frequency parameters are low in speed during adjustment.
In order to achieve the purpose, the radio frequency internal diathermy health care equipment management system based on the Internet of things comprises the following technical scheme:
the personnel data acquisition end is used for acquiring basic parameters such as height, weight, sex, age and the like of the participators and transmitting the acquired basic parameters into the personnel data processing end;
The personnel data processing end sequentially processes the acquired basic parameters, preferentially determines basic metabolic rates generated by different sexes, and finally calculates the intelligently-adjusted radio frequency output power P by determining the body surface area, wherein the specific mode is as follows:
calculating basal metabolic rate BMR according to age, sex and height:
male bmr= (10 x weight) + (6.25 x height) - (5 x age) +5;
Female bmr= (10 x weight) + (6.25 x height) - (5 x age) -161;
Body surface area BSA was then calculated from weight and height:
Bsa= 0.007184 ×height 0.725 ×body weight 0.425;
Basic linear value PL0 of radio frequency output power is calculated based on BMR and BSA:
pl0=bmr×bsa×cl0, CL0 is an initial linear coefficient, and a suitable value can be set according to the need of briefly turning on high power;
The coefficient of the RF output power (C0) is adjusted according to gender and age, the maximum value is limited to not more than 800 watts, and the RF output power is gradually reduced in a set time range:
For adults:
c0=min (1+age/100, 800/PL 0);
C0=min (1+age/120, 800/PL 0);
For children:
c0 =min (1+age/150,800/PL 0);
A linear coefficient curve (CLt) over a defined time range t (in seconds) may be implemented using linear interpolation;
initial time t0, corresponding to initial linear coefficient CL0;
final time tf, corresponding to final linear coefficient CLf;
At time t between t0 and tf, the corresponding linear coefficient CLt is calculated by linear interpolation, the calculation formula of the linear interpolation:
CLt = cl0+ (CLf-CL 0) ((t-t 0)/(tf-t 0)), where CL0 represents the initial linear coefficient, CLf represents the final linear coefficient, t is the current time, t0 is the start time, tf is the final time;
Finally, intelligently-adjusted radio frequency output power P is calculated:
p=pl 0×c0× CLt, linear interpolation can be used to calculate the linear coefficient CLt between the time ranges t0 to tf;
The equipment data acquisition end is used for determining past power adjustment data generated under different working parameters of different health-care equipment, wherein the different working parameters comprise selected parameters under the running state of the equipment, do not comprise voltage values, and transmit the confirmed past power adjustment data into the primary processing end;
The preliminary processing end receives past power regulation data generated by the appointed health-care equipment, then constructs a corresponding power regulation curve, and locks the optimal working parameters belonging to the health-care equipment by analyzing trend changes among the curves, wherein the specific mode is as follows:
Receiving a plurality of groups of power adjustment data generated under the same working parameters, taking a voltage value as a transverse coordinate axis, taking the power adjustment data as a vertical coordinate axis, constructing a group of two-dimensional coordinate system, then confirming a group of change curves according to the change among the power adjustment data, and then sequentially processing the power adjustment data generated under other working parameters to confirm a plurality of groups of change curves;
Determining the slope generated by line segments between different adjacent point bits in a change curve, calibrating the determined slope as X i-k, wherein k represents the line segments between different adjacent point bits, summing the generated groups of slopes X i-k, and determining a standard rate B i, wherein i represents different change curves;
Selecting a group of maximum values B imax from a plurality of standard rates B i, calibrating the working parameters corresponding to B imax as optimal working parameters, and calibrating the working parameters as standard parameters;
The comprehensive analysis end locks the fastest climbing voltage change value and slowly reduces the voltage change value from the change curve corresponding to the standard parameter according to the determined radio frequency output power P and the determined standard parameter, and generates a group of power change logic in the specific mode that:
determining trend change points from a change curve corresponding to the standard parameters, wherein the slopes of line segments on the front side and the rear side of the trend change points are different, and marking the trend change points in the change curve;
Determining climbing line segments between adjacent trend change points, wherein the power parameters of the rear end of the climbing line segments are larger than those of the front end, and determining the slopes of different climbing line segments;
Selecting a group of slope values with the largest value from a plurality of groups of slopes, recording the initial value and the end value of the voltage in the line segment, and determining the change value of the fastest climbing voltage by adopting the change value = end value-initial value;
Determining a descending line segment between adjacent trend change points, wherein the power parameter at the rear end of the descending line segment is smaller than that at the front end, determining the slopes of different descending line segments, selecting a group of slope values with the smallest values from a plurality of groups of slopes, recording the initial value and the end value of the voltage in the line segment, and determining a slow-descending voltage change value by adopting a change value = initial value-end value;
And generating power change logic, namely preferentially adopting the fastest climbing voltage change value as a standard to carry out voltage rising, stopping when the power parameter reaches the radio frequency output power P, carrying out voltage falling by taking the slowly-reduced voltage change value as the standard, stopping when the power parameter reaches 0, transmitting the generated power change logic into a control terminal, and controlling the health care equipment by the control terminal according to the power change logic and executing.
The invention provides a radio frequency internal diathermy health care equipment management system based on the Internet of things. Compared with the prior art, the method has the following beneficial effects:
According to the invention, the heights, weights and other basic parameters of the participators are sequentially analyzed, different radio frequency output frequencies are determined according to different service objects, the comprehensiveness of the service process of the health care equipment is improved, and the equipment management effect is improved;
The method has the advantages that the health-care equipment can quickly reach the highest power, the preparation time of the health-care equipment is fully shortened, the radio frequency output power is slowly reduced in the subsequent physical therapy process, the human body can be kept in a hot state continuously by gradually reducing or reversely starting high power, the gradual analysis processing is sequentially carried out, the generated radio frequency power is most suitable for corresponding personnel, the working parameters and the working state of the health-care equipment can be optimized, and the power change logic of the working process is determined according to the past change curve, so that the better health-care equipment management effect is achieved.
Drawings
FIG. 1 is a schematic diagram of a principal frame of the present invention;
fig. 2 is a schematic diagram of a flow chart of conversion of rf output power 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. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1, the application provides a radio frequency internal diathermy health care equipment management system based on the internet of things, which comprises a personnel data acquisition end, a personnel data processing end, an equipment data acquisition end, a preliminary processing end, a comprehensive analysis end and a control terminal;
the personnel data acquisition end is electrically connected with the personnel data processing end input node, the equipment data acquisition end is electrically connected with the preliminary processing end input node, the personnel data processing end and the preliminary processing end are electrically connected with the comprehensive analysis end input node, and the comprehensive analysis end is electrically connected with the control terminal input node;
The personnel data acquisition end is used for acquiring basic parameters such as height, weight, sex, age and the like of the participators and transmitting the acquired basic parameters into the personnel data processing end, wherein the acquired basic parameters can be acquired by a specific acquisition instrument and manually input;
referring to fig. 2, the personnel data processing end processes the collected basic parameters in sequence, preferentially determines basic metabolic rates generated by different sexes, and finally calculates the intelligently adjusted radio frequency output power P after determining the body surface area, and transmits the processed radio frequency output power P to the comprehensive analysis end, wherein the specific mode of performing sequential processing is as follows:
calculating basal metabolic rate BMR according to age, sex and height:
male bmr= (10 x weight) + (6.25 x height) - (5 x age) +5;
Female bmr= (10 x weight) + (6.25 x height) - (5 x age) -161;
Body surface area BSA was then calculated from weight and height:
Bsa= 0.007184 ×height 0.725 ×body weight 0.425;
Basic linear value PL0 of radio frequency output power is calculated based on BMR and BSA:
pl0=bmr×bsa×cl0, CL0 is an initial linear coefficient, and a suitable value can be set according to the need of briefly turning on high power;
The coefficient of the RF output power (C0) is adjusted according to gender and age, the maximum value is limited to not more than 800 watts, and the RF output power is gradually reduced in a set time range:
For adults:
c0=min (1+age/100, 800/PL 0);
C0=min (1+age/120, 800/PL 0);
For children:
c0 =min (1+age/150,800/PL 0);
A linear coefficient curve (CLt) over a defined time range t (in seconds) may be implemented using linear interpolation;
initial time t0, corresponding to initial linear coefficient CL0;
final time tf, corresponding to final linear coefficient CLf;
At time t between t0 and tf, the corresponding linear coefficient CLt is calculated by linear interpolation, the calculation formula of the linear interpolation:
CLt = cl0+ (CLf-CL 0) ((t-t 0)/(tf-t 0)), where CL0 represents the initial linear coefficient, CLf represents the final linear coefficient, t is the current time, t0 is the start time, tf is the final time;
Finally, intelligently-adjusted radio frequency output power P is calculated:
P=pl 0×c0× CLt, linear interpolation can be used to calculate the linear coefficient CLt between the time ranges t0 to tf.
The equipment data acquisition end is used for determining past power adjustment data generated under different working parameters of different health-care equipment, wherein the different working parameters comprise selected parameters under the running state of the equipment, do not comprise voltage values, and transmit the confirmed past power adjustment data into the preliminary processing end;
the preliminary processing end receives past power regulation data generated by the appointed health-care equipment, then constructs a corresponding power regulation curve, locks the optimal working parameter belonging to the health-care equipment by analyzing trend changes among the curves, and calibrates the optimal working parameter to the standard parameter of the health-care equipment, wherein the specific mode for locking the optimal working parameter is as follows:
Receiving a plurality of groups of power adjustment data generated under the same working parameters, taking a voltage value as a transverse coordinate axis, taking the power adjustment data as a vertical coordinate axis, constructing a group of two-dimensional coordinate system, then confirming a group of change curves according to the change among the power adjustment data, and then sequentially processing the power adjustment data generated under other working parameters to confirm a plurality of groups of change curves;
Determining the slope generated by line segments between different adjacent point bits in a change curve, calibrating the determined slope as X i-k, wherein k represents the line segments between different adjacent point bits, summing the generated groups of slopes X i-k, and determining a standard rate B i, wherein i represents different change curves;
Selecting a group of maximum values B imax from a plurality of standard rates B i, calibrating the working parameters corresponding to B imax as optimal working parameters, and calibrating the working parameters as standard parameters;
specifically, when the health-care equipment performs thermal treatment, the power adjustment speed of the health-care equipment is different according to different working parameters, so that in the actual treatment process, a group of working parameters which can be optimal for the health-care equipment are selected from a plurality of groups of different working parameters, and the working parameters are the parameters set in the equipment operation process, so that the corresponding equipment can normally operate.
Example two
The comprehensive analysis end locks the fastest climbing voltage change value and slowly reduces the voltage change value from the change curve corresponding to the standard parameter according to the determined radio frequency output power P and the determined standard parameter, generates a group of power change logic, and transmits the generated power change logic to the control terminal, wherein the specific mode for generating the power change logic is as follows:
determining trend change points from a change curve corresponding to the standard parameters, wherein the slopes of line segments on the front side and the rear side of the trend change points are different, and marking the trend change points in the change curve;
determining climbing line segments between adjacent trend change points, wherein the power parameter at the rear end of the climbing line segments is larger than that at the front end, and determining the slopes of different climbing line segments, wherein the determination mode of the slopes is the prior art, so that excessive description is omitted here, and the slopes k= (y 1-y 2)/(x 1-x 2);
Selecting a group of slope values with the largest value from a plurality of groups of slopes, recording the initial value and the end value of the voltage in the line segment, and adopting the change value = end value-initial value to determine the fastest climbing voltage change value, wherein the line segment is a climbing line segment, the voltage parameters between the line segments are also in a rising shape, the generated end value is larger than the initial value, and the corresponding change value can be determined;
Determining a descending line segment between adjacent trend change points, wherein the power parameter at the rear end of the descending line segment is smaller than the power parameter at the front end, determining the slopes of different descending line segments, selecting a group of slope values with the smallest values from a plurality of groups of slopes, recording the initial value and the end value of the voltage in the line segment, and adopting a change value = initial value-end value to determine a slow-descending voltage change value, so that the line segment is a descending line segment, the generated power parameter also belongs to a descending state, and the voltage value related to the power parameter correspondingly descends when the power parameter descends, and the initial value is larger than the end value in the descending process, so that the corresponding change value can be determined;
Generating power change logic, namely preferentially adopting the fastest climbing voltage change value as a standard to carry out voltage rising, stopping when the power parameter reaches the radio frequency output power P, carrying out voltage falling by taking the slowly-reduced voltage change value as the standard, stopping when the power parameter reaches 0, and transmitting the generated power change logic into a control terminal;
Specifically, in order to enable the corresponding equipment to quickly reach the corresponding radio frequency output power, the fastest climbing standard is adopted to determine the fastest climbing voltage change value, and then after climbing is finished, the equipment is sequentially lowered in a slow lowering mode in order to ensure the duration to be long, so that the whole physiotherapy process is optimal, the whole thermotherapy effect is improved, and the better equipment management effect is achieved.
The control terminal controls the health care equipment according to the power change logic and carries out heat treatment on physiotherapy personnel.
For the rapid heating and slow cooling modes, the application also comprises another group of heat treatment modes as further embodiments of the application;
Locking the slowest climbing voltage change value and the fastest falling voltage change value from a change curve corresponding to the standard parameters according to the determined radio frequency output power P and the determined standard parameters through the comprehensive analysis end, generating a group of power change logic, and transmitting the generated power change logic into the control terminal;
the slowest climbing voltage change value is determined by the determined climbing line segment, and a group of slope values with the smallest slope values are determined from the climbing line segment, so that the corresponding slowest climbing voltage change value is locked and is opposite to the fastest climbing voltage change value;
similarly, a group of slope values with the largest slope values are determined from the descending line segments, so that the corresponding fastest descending change values are locked;
Generating corresponding power change logic, preferentially adopting the slowest climbing voltage change value as a standard to carry out voltage rising, stopping when the power parameter reaches the radio frequency output power P, carrying out voltage falling by taking the fastest falling voltage change value as the standard, stopping when the power parameter reaches 0, and transmitting the generated power change logic into the control terminal.
Specifically, in order to enable the health care equipment to quickly reach the highest power in the normal thermal therapy process, the preparation time of the health care equipment is fully shortened, and the radio frequency output power is slowly reduced in the subsequent thermal therapy process, and the human body is kept in a hot state after the high power is started at first;
Similarly, the mode of slowly heating and rapidly cooling is adopted, so that the human body can be kept in a hot state continuously, and the required heat treatment effect is fully ensured;
The gradual analysis processing is sequentially carried out, so that the generated radio frequency power is most suitable for corresponding personnel, the working parameters and the working state of the health care equipment can be optimized, and the power change logic in the working process is determined according to the past change curve, so that a better health-care equipment management effect is achieved.
Example III
This embodiment includes all of the implementations of the two sets of embodiments described above.
Some of the data in the above formulas are numerical calculated by removing their dimensionality, and the contents not described in detail in the present specification are all well known in the prior art.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
Claims (2)
1. Radio frequency internal diathermy healthy equipment management system based on thing networking, its characterized in that includes:
the personnel data acquisition end is used for acquiring basic parameters of the height, weight, sex and age of the participators and transmitting the acquired basic parameters into the personnel data processing end;
The personnel data processing end sequentially processes the acquired basic parameters, preferentially determines basic metabolic rates generated by different sexes, finally calculates the intelligently-adjusted radio frequency output power P after determining the body surface area, and transmits the processed radio frequency output power P to the comprehensive analysis end, wherein the specific mode is as follows:
calculating basal metabolic rate BMR according to age, sex and height:
male bmr= (10 x weight) + (6.25 x height) - (5 x age) +5;
Female bmr= (10 x weight) + (6.25 x height) - (5 x age) -161;
Body surface area BSA was then calculated from weight and height:
Bsa= 0.007184 ×height 0.725 ×body weight 0.425;
Basic linear value PL0 of radio frequency output power is calculated based on BMR and BSA:
pl0=bmr×bsa×cl0, CL0 is an initial linear coefficient, and a suitable value can be set according to the need of briefly turning on high power;
The coefficient of the RF output power (C0) is adjusted according to gender and age, the maximum value is limited to not more than 800 watts, and the RF output power is gradually reduced in a set time range:
For adults:
c0=min (1+age/100, 800/PL 0);
C0=min (1+age/120, 800/PL 0);
For children:
c0 =min (1+age/150,800/PL 0);
A linear coefficient curve (CLt) over a defined time range t (in seconds) may be implemented using linear interpolation;
initial time t0, corresponding to initial linear coefficient CL0;
final time tf, corresponding to final linear coefficient CLf;
At time t between t0 and tf, the corresponding linear coefficient CLt is calculated by linear interpolation, the calculation formula of the linear interpolation:
CLt = cl0+ (CLf-CL 0) ((t-t 0)/(tf-t 0)), where CL0 represents the initial linear coefficient, CLf represents the final linear coefficient, t is the current time, t0 is the start time, tf is the final time;
Finally, intelligently-adjusted radio frequency output power P is calculated:
p=pl 0×c0× CLt, linear interpolation can be used to calculate the linear coefficient CLt between the time ranges t0 to tf;
The equipment data acquisition end is used for determining past power adjustment data generated under different working parameters of different health-care equipment, wherein the different working parameters comprise selected parameters under the running state of the equipment, do not comprise voltage values, and transmit the confirmed past power adjustment data into the primary processing end;
The primary processing end receives past power regulation data generated by the appointed health-care equipment, then constructs a corresponding power regulation curve, locks the optimal working parameter belonging to the health-care equipment by analyzing trend changes among the curves, and calibrates the optimal working parameter to the standard parameter of the health-care equipment by the specific modes:
Receiving a plurality of groups of power adjustment data generated under the same working parameters, taking a voltage value as a transverse coordinate axis, taking the power adjustment data as a vertical coordinate axis, constructing a group of two-dimensional coordinate system, then confirming a group of change curves according to the change among the power adjustment data, and then sequentially processing the power adjustment data generated under other working parameters to confirm a plurality of groups of change curves;
Determining the slope generated by line segments between different adjacent point bits in a change curve, calibrating the determined slope as X i-k, wherein k represents the line segments between different adjacent point bits, summing the generated groups of slopes X i-k, and determining a standard rate B i, wherein i represents different change curves;
Selecting a group of maximum values B imax from a plurality of standard rates B i, calibrating the working parameters corresponding to B imax as optimal working parameters, and calibrating the working parameters as standard parameters;
The comprehensive analysis end locks the fastest climbing voltage change value and slowly reduces the voltage change value from the change curve corresponding to the standard parameter according to the determined radio frequency output power P and the determined standard parameter, generates a group of power change logic, and transmits the generated power change logic to the control terminal, wherein the specific mode is as follows:
determining trend change points from a change curve corresponding to the standard parameters, wherein the slopes of line segments on the front side and the rear side of the trend change points are different, and marking the trend change points in the change curve;
Determining climbing line segments between adjacent trend change points, wherein the power parameters of the rear end of the climbing line segments are larger than those of the front end, and determining the slopes of different climbing line segments;
Selecting a group of slope values with the largest value from a plurality of groups of slopes, recording the initial value and the end value of the voltage in the line segment, and determining the change value of the fastest climbing voltage by adopting the change value = end value-initial value;
determining a descending line segment between adjacent trend change points, wherein the power parameter at the rear end of the descending line segment is smaller than that at the front end, determining the slopes of different descending line segments, selecting a group of slope values with the largest numerical value from a plurality of groups of slopes, recording the initial value and the end value of the voltage in the line segment, and determining a slow-descending voltage change value by adopting a change value = initial value-end value;
And generating a power change logic, namely preferentially adopting the fastest climbing voltage change value as a standard to carry out voltage rising, stopping when the power parameter reaches the radio frequency output power P, carrying out voltage falling by taking the slowly-reduced voltage change value as the standard, stopping when the power parameter reaches 0, and transmitting the generated power change logic into the control terminal.
2. The system for managing the diathermy equipment in radio frequency based on the internet of things according to claim 1, wherein the control terminal controls the equipment according to power change logic and execution.
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