CN117375177B - Power supply management method, device, equipment and storage medium of millimeter wave therapeutic instrument - Google Patents
Power supply management method, device, equipment and storage medium of millimeter wave therapeutic instrument Download PDFInfo
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Abstract
The invention relates to the field of artificial intelligence, and discloses a power supply management method, device, equipment and storage medium of a millimeter wave therapeutic apparatus, which are used for improving the power supply management accuracy of the millimeter wave therapeutic apparatus so as to realize efficient power supply and reduce energy loss. The method comprises the following steps: performing voltage conversion and temperature monitoring according to a first initial energy conversion strategy to obtain intermediate voltage data and first temperature data, and calculating first energy conversion efficiency data; performing voltage conversion and temperature monitoring according to a second initial energy conversion strategy to obtain target voltage data and second temperature data, and calculating second energy conversion efficiency data; constructing a first energy conversion performance matrix and constructing a second energy conversion performance matrix; and inputting the first energy conversion performance matrix and the second energy conversion performance matrix into a voltage conversion analysis model for voltage conversion parameter analysis to obtain a first conversion parameter adjustment set and a second conversion parameter adjustment set.
Description
Technical Field
The invention relates to the field of artificial intelligence, in particular to a power supply management method, a device, equipment and a storage medium of a millimeter wave therapeutic apparatus.
Background
Millimeter wave therapy is an emerging medical therapy that utilizes millimeter wave electromagnetic radiation to treat a variety of diseases such as skin disorders, arthritis, and muscle injuries. Millimeter wave radiation can penetrate the skin surface and penetrate to shallow tissues, generate a warming effect, promote blood circulation, reduce inflammation and relieve pain. In the medical field, millimeter wave therapeutic apparatuses are gaining importance, and are widely used in rehabilitation centers, physiotherapy rooms and hospitals.
However, power management of millimeter wave therapeutic devices is one of the key challenges in achieving their efficient treatment. The traditional power supply management method has some problems such as unstable power supply, energy waste, limited battery endurance time and the like, and the problems can influence the performance and stability of the therapeutic apparatus, so that the accuracy rate is low.
Disclosure of Invention
The invention provides a power supply management method, a device, equipment and a storage medium of a millimeter wave therapeutic apparatus, which are used for improving the power supply management accuracy of the millimeter wave therapeutic apparatus so as to realize efficient power supply and reduce energy loss.
The first aspect of the present invention provides a power supply management method for a millimeter wave therapeutic apparatus, the power supply management method for a millimeter wave therapeutic apparatus comprising: acquiring target test power data of a preset millimeter wave therapeutic apparatus, and calculating corresponding initial voltage data, a first initial energy conversion strategy and a second initial energy conversion strategy according to the target test power data, wherein the millimeter wave therapeutic apparatus comprises a first-stage voltage converter and a second-stage voltage converter; performing voltage conversion and temperature monitoring on the initial voltage data through the first-stage voltage converter according to the first initial energy conversion strategy to obtain intermediate voltage data and first temperature data, and calculating corresponding first energy conversion efficiency data according to the initial voltage data and the intermediate voltage data; performing voltage conversion and temperature monitoring on the intermediate voltage data through the second-stage voltage converter according to the second initial energy conversion strategy to obtain target voltage data and second temperature data, and calculating corresponding second energy conversion efficiency data according to the intermediate voltage data and the target voltage data; constructing a first energy conversion performance matrix according to the first energy conversion efficiency data and the first temperature data, and constructing a second energy conversion performance matrix according to the second energy conversion efficiency data and the second temperature data; inputting the first energy conversion performance matrix and the second energy conversion performance matrix into a preset voltage conversion analysis model to perform voltage conversion parameter analysis to obtain a first conversion parameter adjustment set and a second conversion parameter adjustment set; generating a first target energy conversion strategy according to the first conversion parameter adjustment set and the first initial energy conversion strategy, and generating a second target energy conversion strategy according to the second conversion parameter adjustment set and the second initial energy conversion strategy.
With reference to the first aspect, in a first implementation manner of the first aspect of the present invention, the acquiring target test power data of the preset millimeter wave therapeutic apparatus, and calculating corresponding initial voltage data, a first initial energy conversion policy, and a second initial energy conversion policy according to the target test power data, where the millimeter wave therapeutic apparatus includes a first stage voltage converter and a second stage voltage converter, includes: acquiring control mode information and target parameter information of a preset millimeter wave therapeutic apparatus, and determining a plurality of control power intervals according to the control mode information; analyzing the test data of the control power intervals to obtain target test power data of the millimeter wave therapeutic instrument; according to the target parameter information, performing voltage calculation on the target test power data to obtain corresponding initial voltage data; acquiring a plurality of first influence factors of a first-stage voltage converter in the millimeter wave therapeutic apparatus, and acquiring a plurality of second influence factors of a second-stage voltage converter in the millimeter wave therapeutic apparatus; randomly generating a plurality of first candidate energy conversion strategies according to the plurality of first influence factors, and randomly generating a plurality of second candidate energy conversion strategies according to the plurality of second influence factors; and carrying out optimization calculation on the plurality of first candidate energy conversion strategies through a preset first objective function to obtain a first initial energy conversion strategy, and carrying out optimization calculation on the plurality of second candidate energy conversion strategies through a preset second objective function to obtain a second initial energy conversion strategy.
With reference to the first aspect, in a second implementation manner of the first aspect of the present invention, the performing, by the first stage voltage converter, voltage conversion and temperature monitoring on the initial voltage data according to the first initial energy conversion policy to obtain intermediate voltage data and first temperature data, and calculating corresponding first energy conversion efficiency data according to the initial voltage data and the intermediate voltage data includes: carrying out input parameter analysis on the first initial energy conversion strategy to obtain a first input parameter, and carrying out parameter setting on the first-stage voltage converter according to the first input parameter; inputting the initial voltage data into the first-stage voltage converter for voltage conversion to obtain intermediate voltage data; temperature monitoring is carried out on the voltage conversion process of the first-stage voltage converter to obtain first temperature data; calculating the energy conversion efficiency of the first-stage voltage converter according to the initial voltage data and the intermediate voltage data to obtain first initial conversion efficiency data; calculating first thermal energy data of the first-stage voltage converter according to the first temperature data; and correcting the conversion efficiency of the first initial conversion efficiency data according to the first heat energy data to obtain first energy conversion efficiency data.
With reference to the first aspect, in a third implementation manner of the first aspect of the present invention, the performing, by the second-stage voltage converter, voltage conversion and temperature monitoring on the intermediate voltage data according to the second initial energy conversion policy to obtain target voltage data and second temperature data, and calculating corresponding second energy conversion efficiency data according to the intermediate voltage data and the target voltage data includes: carrying out input parameter analysis on the second initial energy conversion strategy to obtain a second input parameter, and carrying out parameter setting on the second-stage voltage converter according to the second input parameter; inputting the intermediate voltage data into the second-stage voltage converter for voltage conversion to obtain target voltage data; temperature monitoring is carried out on the voltage conversion process of the second-stage voltage converter to obtain second temperature data; calculating the energy conversion efficiency of the second-stage voltage converter according to the intermediate voltage data and the target voltage data to obtain second initial conversion efficiency data; calculating second thermal energy data of the second-stage voltage converter according to the second temperature data; and correcting the conversion efficiency of the second initial conversion efficiency data according to the second heat energy data to obtain second energy conversion efficiency data.
With reference to the first aspect, in a fourth implementation manner of the first aspect of the present invention, the constructing a first energy conversion performance matrix according to the first energy conversion efficiency data and the first temperature data, and constructing a second energy conversion performance matrix according to the second energy conversion efficiency data and the second temperature data includes: performing probability density distribution operation on the first energy conversion efficiency data through a preset first probability density distribution function to generate a first energy conversion efficiency distribution map, and performing probability density distribution operation on the second energy conversion efficiency data through a preset second probability density distribution function to generate a second energy conversion efficiency distribution map; analyzing the distribution characteristic values of the first energy conversion efficiency distribution map to obtain a plurality of first distribution map characteristic values, calculating first distribution characteristic average values corresponding to the first distribution map characteristic values, analyzing the distribution characteristic values of the second energy conversion efficiency distribution map to obtain a plurality of second distribution map characteristic values, and calculating second distribution characteristic average values corresponding to the second distribution map characteristic values; feature screening is carried out on the first distribution map feature values according to the first distribution feature mean value to obtain a plurality of first target distribution feature values, and feature screening is carried out on the second distribution map feature values according to the second distribution feature mean value to obtain a plurality of second target distribution feature values; performing curve fitting on the first temperature data through a preset first curve fitting function to obtain a first temperature curve, and performing curve fitting on the second temperature data through a preset second curve fitting function to obtain a second temperature curve; analyzing the curve characteristic values of the first temperature curve to obtain a plurality of first curve characteristic values, calculating first curve characteristic average values corresponding to the plurality of first curve characteristic values, analyzing the curve characteristic values of the second temperature curve to obtain a plurality of second curve characteristic values, and calculating second curve characteristic average values corresponding to the plurality of second curve characteristic values; feature screening is carried out on the first curve feature values according to the first curve feature mean value to obtain a plurality of first target curve feature values, and feature screening is carried out on the second curve feature values according to the second curve feature mean value to obtain a plurality of second target curve feature values; and performing matrix conversion on the first target distribution characteristic values and the first target curve characteristic values to obtain a first energy conversion performance matrix, and performing matrix conversion on the second target distribution characteristic values and the second target curve characteristic values to obtain a second energy conversion performance matrix.
With reference to the first aspect, in a fifth implementation manner of the first aspect of the present invention, inputting the first energy conversion performance matrix and the second energy conversion performance matrix into a preset voltage conversion analysis model to perform voltage conversion parameter analysis, to obtain a first conversion parameter adjustment set and a second conversion parameter adjustment set, where the steps include: inputting the first energy conversion performance matrix and the second energy conversion performance matrix into a preset voltage conversion analysis model, wherein the voltage conversion analysis model comprises the following components: a first layer of feature extraction model and a second layer of feature operation model, the first layer of feature extraction model comprising: a first bi-directional threshold cycle network and a second bi-directional threshold cycle network; performing feature extraction on the first energy conversion performance matrix through a first bidirectional threshold cycle network in the first layer feature extraction model to obtain a first feature conversion performance matrix; performing feature extraction on the second energy conversion performance matrix through a second bidirectional threshold circulation network in the first layer feature extraction model to obtain a second feature conversion performance matrix; and performing voltage conversion parameter operation on the first characteristic conversion performance matrix through the second layer characteristic operation model to obtain a first conversion parameter adjustment set, and performing voltage conversion parameter operation on the second characteristic conversion performance matrix through the second layer characteristic operation model to obtain a second conversion parameter adjustment set.
With reference to the first aspect, in a sixth implementation manner of the first aspect of the present invention, the generating a first target energy conversion policy according to the first conversion parameter adjustment set and the first initial energy conversion policy, and generating a second target energy conversion policy according to the second conversion parameter adjustment set and the second initial energy conversion policy includes: generating a plurality of first parameter optimization values of the first-stage voltage converter of the millimeter wave therapeutic apparatus under different working conditions according to the first conversion parameter adjustment set; according to the plurality of first parameter optimization values, parameter optimization and parameter updating are carried out on the first initial energy conversion strategy, and a first target energy conversion strategy is obtained; generating a plurality of second parameter optimization values of the second-stage voltage converter of the millimeter wave therapeutic apparatus under different working conditions according to the second conversion parameter adjustment set; and carrying out parameter optimization and parameter updating on the second initial energy conversion strategy according to the plurality of second parameter optimization values to obtain a second target energy conversion strategy.
A second aspect of the present invention provides a power supply management apparatus of a millimeter wave therapeutic apparatus, the power supply management apparatus of a millimeter wave therapeutic apparatus comprising:
The millimeter wave therapeutic apparatus comprises an acquisition module, a first energy conversion strategy and a second energy conversion strategy, wherein the acquisition module is used for acquiring target test power data of a preset millimeter wave therapeutic apparatus and calculating corresponding initial voltage data, the first initial energy conversion strategy and the second initial energy conversion strategy according to the target test power data, and the millimeter wave therapeutic apparatus comprises a first-stage voltage converter and a second-stage voltage converter;
The first conversion module is used for carrying out voltage conversion and temperature monitoring on the initial voltage data according to the first initial energy conversion strategy through the first stage voltage converter to obtain intermediate voltage data and first temperature data, and calculating corresponding first energy conversion efficiency data according to the initial voltage data and the intermediate voltage data;
The second conversion module is used for carrying out voltage conversion and temperature monitoring on the intermediate voltage data according to the second initial energy conversion strategy through the second-stage voltage converter to obtain target voltage data and second temperature data, and calculating corresponding second energy conversion efficiency data according to the intermediate voltage data and the target voltage data;
the construction module is used for constructing a first energy conversion performance matrix according to the first energy conversion efficiency data and the first temperature data and constructing a second energy conversion performance matrix according to the second energy conversion efficiency data and the second temperature data;
the analysis module is used for inputting the first energy conversion performance matrix and the second energy conversion performance matrix into a preset voltage conversion analysis model to perform voltage conversion parameter analysis, so as to obtain a first conversion parameter adjustment set and a second conversion parameter adjustment set;
The generation module is used for generating a first target energy conversion strategy according to the first conversion parameter adjustment set and the first initial energy conversion strategy, and generating a second target energy conversion strategy according to the second conversion parameter adjustment set and the second initial energy conversion strategy.
A third aspect of the present invention provides a power supply management apparatus of a millimeter wave therapeutic apparatus, comprising: a memory and at least one processor, the memory having instructions stored therein; the at least one processor invokes the instructions in the memory to cause a power management device of the millimeter wave therapeutic apparatus to perform the power management method of the millimeter wave therapeutic apparatus described above.
A fourth aspect of the present invention provides a computer-readable storage medium having instructions stored therein, which when executed on a computer, cause the computer to perform the above-described power supply management method of a millimeter wave therapeutic apparatus.
According to the technical scheme provided by the invention, voltage conversion and temperature monitoring are carried out according to a first initial energy conversion strategy, intermediate voltage data and first temperature data are obtained, and first energy conversion efficiency data are calculated; performing voltage conversion and temperature monitoring according to a second initial energy conversion strategy to obtain target voltage data and second temperature data, and calculating second energy conversion efficiency data; constructing a first energy conversion performance matrix and constructing a second energy conversion performance matrix; the first energy conversion performance matrix and the second energy conversion performance matrix are input into a voltage conversion analysis model to carry out voltage conversion parameter analysis, and a first conversion parameter adjustment set and a second conversion parameter adjustment set are obtained. Unnecessary energy loss is reduced, more energy is converted into high-frequency alternating current energy, and therefore energy utilization efficiency is improved to the greatest extent. The millimeter wave therapeutic apparatus can continuously and stably output high-frequency alternating current energy when working for a long time through the target energy conversion strategy, and can realize high-efficiency energy conversion and stable output, and meanwhile, the high-efficiency energy conversion reduces energy loss, so that the millimeter wave therapeutic apparatus can continuously work for a longer time under the same battery capacity, the battery endurance time is prolonged, and the frequency of battery replacement is reduced. The flexibility and adjustability of the energy conversion strategy are realized by optimizing the energy conversion parameters, and the energy conversion parameters are automatically adjusted according to different requirements and working conditions so as to realize the optimal power supply effect. By monitoring and analyzing the energy conversion efficiency data and the temperature, abnormal conditions in the power supply process are detected and prevented in real time, the safety of the millimeter wave therapeutic apparatus is improved, and the risk of power supply faults is reduced.
Drawings
Fig. 1 is a schematic diagram showing an embodiment of a power supply management method of a millimeter wave therapeutic apparatus according to an embodiment of the present invention;
FIG. 2 is a flow chart of calculating first energy conversion efficiency data according to an embodiment of the present invention;
FIG. 3 is a flow chart of calculating second energy conversion efficiency data according to an embodiment of the present invention;
FIG. 4 is a flow chart of voltage conversion parameter analysis according to an embodiment of the present invention;
Fig. 5 is a schematic diagram of an embodiment of a power supply management device of a millimeter wave therapeutic apparatus according to the present invention;
fig. 6 is a schematic diagram of an embodiment of a power supply management apparatus of a millimeter wave therapeutic apparatus in an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a power supply management method, a device, equipment and a storage medium of a millimeter wave therapeutic apparatus, which are used for improving the power supply management accuracy of the millimeter wave therapeutic apparatus so as to realize efficient power supply and reduce energy loss. The terms "first," "second," "third," "fourth" and the like in the description and in the claims and in the above drawings, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments described herein may be implemented in other sequences than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus.
For ease of understanding, a specific flow of an embodiment of the present invention is described below with reference to fig. 1, and an embodiment of a power management method of a millimeter wave therapeutic apparatus in an embodiment of the present invention includes:
s101, acquiring target test power data of a preset millimeter wave therapeutic apparatus, and calculating corresponding initial voltage data, a first initial energy conversion strategy and a second initial energy conversion strategy according to the target test power data, wherein the millimeter wave therapeutic apparatus comprises a first-stage voltage converter and a second-stage voltage converter;
It is to be understood that the execution body of the present invention may be a power supply management device of the millimeter wave therapeutic apparatus, and may also be a terminal or a server, which is not limited herein. The embodiment of the invention is described by taking a server as an execution main body as an example.
Specifically, the server acquires control mode information and target parameter information of the millimeter wave therapeutic apparatus in advance. The control mode information includes parameters such as treatment mode, power settings, etc., while the target parameter information includes desired treatment power, frequency, etc. A plurality of control power intervals are determined based on the control mode information. The power range of the therapeutic apparatus is divided into a plurality of intervals so as to test and optimize in different power ranges. And in each control power interval, performing test data analysis to acquire target test power data of the millimeter wave therapeutic instrument. These test data include output power at different powers, voltage data, energy conversion efficiency, etc. And performing voltage calculation according to the target parameter information and the target test power data to obtain corresponding initial voltage data. These initial voltage data will be used as starting values during the treatment to meet the treatment requirements. In the implementation process, related influencing factors of the first-stage voltage converter and the second-stage voltage converter need to be acquired. The influencing factors of the first-stage voltage converter include circuit parameters, element characteristics and the like, and the influencing factors of the second-stage voltage converter include environmental factors such as temperature, humidity and the like. Based on these influencing factors, a plurality of first candidate energy conversion strategies and a plurality of second candidate energy conversion strategies are randomly generated. These candidate strategies take into account a combination of different influencing factors for subsequent optimization calculations. And carrying out optimization calculation on the plurality of first candidate energy conversion strategies by using a preset first objective function to obtain a first initial energy conversion strategy. And simultaneously, carrying out optimization calculation on a plurality of second candidate energy conversion strategies through a preset second objective function to obtain a second initial energy conversion strategy. Finally, according to the obtained first initial energy conversion strategy and the second initial energy conversion strategy, adjusting the parameters of the voltage converter of the millimeter wave therapeutic instrument. Therefore, the therapeutic apparatus can realize optimal power supply management according to different therapeutic requirements in different control power intervals. The intelligent power supply management method can improve the treatment effect and the equipment performance, and provides better treatment experience and treatment effect for patients. For example, assume that there is a millimeter wave therapeutic apparatus for treating skin diseases at different sites. The therapeutic apparatus has three control modes: face treatment mode, back treatment mode and arm treatment mode, and has corresponding target parameter information, such as target treatment power required in different modes. And determining a corresponding control power interval according to the target parameter information in the face treatment mode, and testing in the interval. And obtaining target test power data and voltage data under the face treatment mode through the test. And determining a control power interval of the back treatment mode according to the target parameter information in the back treatment mode, and testing. Likewise, target test power data and voltage data for back treatment mode are obtained. And determining a control power interval of the arm treatment mode according to the target parameter information of the arm treatment mode, and testing to obtain target test power data and voltage data of the arm treatment mode. And respectively calculating corresponding initial voltage data under the face treatment mode, the back treatment mode and the arm treatment mode according to the collected target test power data. And analyzing influence factors of the first-stage voltage converter and the second-stage voltage converter in the therapeutic instrument. For example, the influencing factors of the first stage voltage converter include circuit parameters and element characteristics, while the influencing factors of the second stage voltage converter include ambient temperature and humidity. Based on these influencing factors, a plurality of first candidate energy conversion strategies and a plurality of second candidate energy conversion strategies are randomly generated to consider a combination of different factors. And optimally calculating the plurality of first candidate energy conversion strategies by using a preset first objective function to obtain a first initial energy conversion strategy in the face treatment mode, the back treatment mode and the arm treatment mode. And simultaneously, carrying out optimization calculation on a plurality of second candidate energy conversion strategies through a preset second objective function to obtain corresponding second initial energy conversion strategies. Finally, according to the obtained initial energy conversion strategy, the parameters of the voltage converter of the millimeter wave therapeutic apparatus are adjusted, so that the optimal power supply management is realized according to different therapeutic requirements in different control power intervals.
S102, performing voltage conversion and temperature monitoring on initial voltage data according to a first initial energy conversion strategy through a first-stage voltage converter to obtain intermediate voltage data and first temperature data, and calculating corresponding first energy conversion efficiency data according to the initial voltage data and the intermediate voltage data;
Specifically, the server needs to analyze the input parameters aiming at the first-stage voltage converter of the millimeter wave therapeutic apparatus to obtain the first input parameters. These parameters include information on circuit design parameters, element characteristics, and the like, and their settings have an important influence on voltage conversion and energy conversion efficiency. And setting parameters of the first-stage voltage converter according to the first input parameters obtained by analysis. The operating parameters of the voltage converter can be adjusted according to different treatment requirements and control modes to provide optimal voltage conversion effects. The initial voltage data is input into a first-stage voltage converter, and intermediate voltage data is obtained through a voltage conversion process. The intermediate voltage data is an intermediate result of the voltage conversion and plays an important role in the subsequent calculation of the energy conversion efficiency. Meanwhile, in the voltage conversion process, temperature monitoring needs to be performed on the first-stage voltage converter to obtain first temperature data. Temperature monitoring is necessary because temperature changes in the voltage converter affect its performance and energy conversion efficiency. From the initial voltage data and the intermediate voltage data, the energy conversion efficiency of the first stage voltage converter may be calculated. The energy conversion efficiency is an important indicator for measuring the performance of the voltage converter, and represents the ratio of output energy to input energy. In the calculation process, the first heat energy data of the first-stage voltage converter is also required to be calculated according to the first temperature data. The first thermal energy data is the thermal energy generated during the voltage conversion process, also referred to as loss energy. And applying the first thermal energy data to the energy conversion efficiency data to perform conversion efficiency correction. This allows more accurate first energy conversion efficiency data to be obtained reflecting the voltage converter performance after taking into account losses in actual operation. For example, assume that there is a millimeter wave therapeutic apparatus for treating different types of muscle diseases. Parameters of the first stage voltage converter of the therapeutic apparatus include circuit element characteristics, power supply voltage, and the like. The control mode information includes a low power mode and a high power mode, each corresponding to a different therapeutic power requirement. And in the low power mode, analyzing according to the control parameters to obtain first input parameters. And according to the first input parameters, performing parameter setting on the first-stage voltage converter to provide a voltage conversion effect suitable for low-power treatment. When low-power treatment is carried out, the initial voltage data is input into the first-stage voltage converter, and the intermediate voltage data is obtained. Meanwhile, the temperature of the first-stage voltage converter is monitored through a temperature sensor, and first temperature data are obtained. And calculating the energy conversion efficiency of the first-stage voltage converter according to the initial voltage data and the intermediate voltage data. Meanwhile, first heat energy data generated by the first-stage voltage converter are calculated according to the first temperature data. And correcting the energy conversion efficiency data according to the first heat energy data to obtain the first energy conversion efficiency data. Therefore, the power supply management of the therapeutic apparatus in the low-power mode can provide more accurate voltage conversion efficiency according to the actual situation by considering the loss effect, so as to achieve better therapeutic effect. The same procedure is also applicable to power management in high power mode.
S103, performing voltage conversion and temperature monitoring on the intermediate voltage data according to a second initial energy conversion strategy through a second-stage voltage converter to obtain target voltage data and second temperature data, and calculating corresponding second energy conversion efficiency data according to the intermediate voltage data and the target voltage data;
The second-stage voltage converter of the millimeter wave therapeutic apparatus needs to analyze the input parameters to obtain the second input parameters. These parameters include information on circuit design parameters, element characteristics, and the like, and their settings have an important influence on voltage conversion and energy conversion efficiency. And setting parameters of the second-stage voltage converter according to the second input parameters obtained by analysis. The operating parameters of the voltage converter can be adjusted according to different treatment requirements and control modes to provide optimal voltage conversion effects. And inputting the intermediate voltage data into a second-stage voltage converter, and obtaining target voltage data through a voltage conversion process. The target voltage data is a target result of the voltage conversion, and plays an important role in the subsequent calculation of the energy conversion efficiency. Meanwhile, in the voltage conversion process, the second-stage voltage converter needs to be subjected to temperature monitoring to obtain second temperature data. Temperature monitoring is necessary because temperature changes in the voltage converter affect its performance and energy conversion efficiency. From the intermediate voltage data and the target voltage data, the energy conversion efficiency of the second-stage voltage converter may be calculated. The energy conversion efficiency is an important indicator for measuring the performance of the voltage converter, and represents the ratio of output energy to input energy. In the calculation process, the second heat energy data generated by the second-stage voltage converter is also calculated according to the second temperature data. The second thermal energy data is the thermal energy generated during the voltage conversion process, also referred to as loss energy. And applying the second thermal energy data to the energy conversion efficiency data to perform conversion efficiency correction. This allows more accurate second energy conversion efficiency data to be obtained reflecting the voltage converter performance after the losses are taken into account in actual operation. For example, assume that there is a millimeter wave therapeutic apparatus for treating different types of muscle diseases. Parameters of the second stage voltage converter of the therapeutic apparatus include circuit element characteristics, power supply voltage, and the like. The control mode information includes a low power mode and a high power mode, each corresponding to a different therapeutic power requirement. And in the low power mode, analyzing according to the control parameters to obtain second input parameters. And according to the second input parameters, performing parameter setting on the second-stage voltage converter to provide a voltage conversion effect suitable for low-power treatment. And when the low-power treatment is carried out, inputting the intermediate voltage data into the second-stage voltage converter to obtain target voltage data. Meanwhile, the temperature of the second-stage voltage converter is monitored through a temperature sensor, and second temperature data are obtained. And calculating the energy conversion efficiency of the second-stage voltage converter according to the intermediate voltage data and the target voltage data. Meanwhile, second heat energy data generated by the second-stage voltage converter are calculated according to the second temperature data. In the low power mode, the performance loss of the second-stage voltage converter in the voltage conversion process can be accurately estimated through the corrected second energy conversion efficiency data, so that higher energy conversion efficiency is realized. This helps to reduce energy loss in the low power mode, increases the overall efficiency of the therapeutic apparatus, and ensures that a stable voltage output is provided during treatment, providing safer and more effective treatment for the patient. On the other hand, in the high power mode, parameter setting, voltage conversion and temperature monitoring are performed on the second-stage voltage converter by similar steps. And analyzing the control parameters in the high-power mode to obtain a second input parameter so as to realize a voltage conversion effect suitable for high-power treatment. And inputting the intermediate voltage data into a second-stage voltage converter, obtaining target voltage data in the voltage conversion process, and obtaining second temperature data through temperature monitoring. The target voltage data and the intermediate voltage data are used to calculate the energy conversion efficiency of the second stage voltage converter. And calculating second heat energy data generated by the second-stage voltage converter according to the second temperature data. Through the corrected second energy conversion efficiency data, the performance of the voltage converter can be optimized in a high-power mode, the energy loss is reduced, and the stability and the reliability of the therapeutic apparatus in high-power output are ensured. This is for some disease courses requiring high power treatment, such as deep muscle disease. Through voltage conversion and temperature monitoring of the second-stage voltage converter, second energy conversion efficiency data are calculated, and power supply management of the millimeter wave therapeutic instrument can be more intelligently and efficiently applied to different types of therapeutic demands. Therefore, the therapeutic apparatus can adjust the parameters of the voltage converter according to actual conditions in different power modes, thereby providing better therapeutic effects and ensuring that a patient obtains safer and more effective therapeutic experience.
S104, constructing a first energy conversion performance matrix according to the first energy conversion efficiency data and the first temperature data, and constructing a second energy conversion performance matrix according to the second energy conversion efficiency data and the second temperature data;
Specifically, probability density distribution operation is performed on the first energy conversion efficiency data through a preset first probability density distribution function, and a first energy conversion efficiency distribution map is generated. And similarly, carrying out probability density distribution operation on the second energy conversion efficiency data through a preset second probability density distribution function to generate a second energy conversion efficiency distribution map. The probability density distribution map will show the frequency of occurrence of different energy conversion efficiency values, which helps to analyze and compare the efficiency distribution. And analyzing the distribution characteristic values of the first energy conversion efficiency distribution graph to obtain a plurality of first distribution graph characteristic values, and calculating a first distribution characteristic average value corresponding to the characteristic values. And similarly, analyzing the distribution characteristic values of the second energy conversion efficiency distribution graph to obtain a plurality of second distribution characteristic values, and calculating second distribution characteristic average values corresponding to the characteristic values. These eigenvalues and eigenvalues can reflect the overall distribution and average level of energy conversion efficiency. And carrying out feature screening on the first distribution map feature values according to the first distribution feature mean value to obtain a plurality of first target distribution feature values. Similarly, feature screening is performed on the plurality of second distribution feature values according to the second distribution feature mean value, so as to obtain a plurality of second target distribution feature values. Thus, representative data can be selected from the distribution characteristic values, and the influence of noise and abnormal values is reduced. And meanwhile, performing curve fitting on the first temperature data through a preset first curve fitting function to obtain a first temperature curve. And performing curve fitting on the second temperature data through a preset second curve fitting function to obtain a second temperature curve. Curve fitting will integrate the temperature data into a continuous smooth curve for eigenvalue resolution and calculation. And analyzing the curve characteristic values of the first temperature curve to obtain a plurality of first curve characteristic values, and calculating a first curve characteristic average value corresponding to the characteristic values. And similarly, analyzing the characteristic values of the second temperature curve to obtain a plurality of characteristic values of the second curve, and calculating a characteristic mean value of the second curve corresponding to the characteristic values. The curve eigenvalues and eigenvalues can provide statistical properties and overall trends in temperature variation. And carrying out feature screening on the plurality of first curve feature values according to the first curve feature mean value to obtain a plurality of first target curve feature values. And similarly, performing feature screening on the plurality of second curve feature values according to the second curve feature mean value to obtain a plurality of second target curve feature values. Thus, representative data can be selected from the curve characteristic values, and the influence of abnormal points and noise is eliminated. And performing matrix conversion on the plurality of first target distribution characteristic values and the plurality of first target curve characteristic values to obtain a first energy conversion performance matrix. And performing matrix conversion on the plurality of second target distribution characteristic values and the plurality of second target curve characteristic values to obtain a second energy conversion performance matrix. These matrices will comprehensively take into account a plurality of eigenvalues of the energy conversion efficiency data and the temperature data, providing a comprehensive energy conversion performance assessment. For example, assume that the first stage and second stage voltage converters of a certain type of millimeter wave therapeutic apparatus have 10 different initial energy conversion efficiency data and temperature data, respectively. For the first-stage voltage converter, a first energy conversion efficiency distribution map is generated by using a preset probability density distribution function, and a plurality of characteristic values such as peak values, variances and the like are obtained by analyzing the distribution characteristic values. Meanwhile, a first temperature curve is obtained through a preset curve fitting function, and curve characteristic values such as slope, fluctuation degree and the like are analyzed. And performing similar processing on the second-stage voltage converter to obtain a second energy conversion efficiency distribution diagram and characteristic values of a second temperature curve. And screening the characteristic values according to the characteristic mean value for the first-stage voltage converter to obtain a plurality of first target distribution characteristic values and first target curve characteristic values. And performing similar processing on the second-stage voltage converter to obtain a plurality of second target distribution characteristic values and second target curve characteristic values. The first target distribution characteristic values and the first target curve characteristic values are constructed as a first energy conversion performance matrix, and the second target distribution characteristic values and the second target curve characteristic values are constructed as a second energy conversion performance matrix. Thus, for the two-stage voltage converter, the server comprehensively considers a plurality of characteristic values of the energy conversion efficiency data and the temperature data of the two-stage voltage converter to obtain a first energy conversion performance matrix and a second energy conversion performance matrix. These matrices will provide a more comprehensive and comprehensive assessment of the power management of the millimeter wave therapeutic apparatus. For example, in one practical application, the millimeter wave therapeutic apparatus is used by a server to treat a patient suffering from muscle pain. In the treatment process, the millimeter wave therapeutic apparatus can automatically switch different control modes and power intervals according to the information of disease types, symptom severity and the like of patients. For the selected control mode and power interval, the therapeutic instrument will record the energy conversion efficiency data and temperature data of the first and second stage voltage converters. After the treatment is completed, the collected data are processed. And generating a first energy conversion efficiency distribution diagram and a first temperature curve according to a preset probability density distribution function and a curve fitting function, and analyzing to obtain corresponding characteristic values and characteristic average values. And screening the characteristic values of the first energy conversion efficiency distribution diagram to obtain a plurality of first target distribution characteristic values, and screening the characteristic values of the first temperature curve to obtain a plurality of first target curve characteristic values. And performing similar processing on the second energy conversion efficiency distribution diagram and the second temperature curve to obtain a plurality of second target distribution characteristic values and second target curve characteristic values. The first target distribution characteristic values and the first target curve characteristic values are constructed as a first energy conversion performance matrix, and the second target distribution characteristic values and the second target curve characteristic values are constructed as a second energy conversion performance matrix.
S105, inputting the first energy conversion performance matrix and the second energy conversion performance matrix into a preset voltage conversion analysis model to perform voltage conversion parameter analysis, so as to obtain a first conversion parameter adjustment set and a second conversion parameter adjustment set;
Specifically, the server inputs the first energy conversion performance matrix and the second energy conversion performance matrix into a preset voltage conversion analysis model. The voltage conversion analysis model includes two main components: a first layer of feature extraction model and a second layer of feature operation model. The first layer of feature extraction model consists of two bi-directional threshold cycle networks: a first bi-directional threshold cycle network and a second bi-directional threshold cycle network. And extracting the characteristics of the first energy conversion performance matrix through a first bidirectional threshold circulation network in the first layer of characteristic extraction model to obtain the first characteristic conversion performance matrix. Important features related to the voltage conversion parameters are extracted from the first energy conversion performance matrix. And similarly, extracting the characteristics of the second energy conversion performance matrix through a second bidirectional threshold cyclic network in the first layer of characteristic extraction model to obtain a second characteristic conversion performance matrix. Important features related to the voltage conversion parameters are extracted from the second energy conversion performance matrix. And inputting the first feature conversion performance matrix and the second feature conversion performance matrix into a second layer of feature operation model. The model is responsible for computing and parameter analysis of the features to obtain a first set of conversion parameter adjustments and a second set of conversion parameter adjustments. The voltage conversion analysis model comprehensively considers the data of the two characteristic conversion performance matrixes, and calculates a voltage conversion parameter adjustment set suitable for the current millimeter wave therapeutic instrument by applying a preset operation algorithm and a parameter optimization strategy. For example, assume a new millimeter wave therapeutic apparatus, which includes first-stage and second-stage voltage converters. Through experimental tests, a first energy conversion performance matrix and a second energy conversion performance matrix are obtained, each matrix containing different energy conversion efficiency data. Analysis and adjustment of the voltage conversion parameters is required for both matrices. The first energy conversion performance matrix and the second energy conversion performance matrix are input into a preset voltage conversion analysis model. In the voltage conversion analysis model, two bidirectional threshold cyclic networks are used in the process, and feature extraction is carried out on the two matrixes respectively. And extracting the characteristics related to the voltage conversion parameters from the first energy conversion performance matrix through a first bidirectional threshold cycle network in the first layer of characteristic extraction model, and generating a first characteristic conversion performance matrix. And extracting the characteristics related to the voltage conversion parameters from the second energy conversion performance matrix through a second bidirectional threshold cyclic network in the first layer of characteristic extraction model, and generating a second characteristic conversion performance matrix. And inputting the first feature conversion performance matrix and the second feature conversion performance matrix into a second layer of feature operation model. The model comprehensively considers the data of the two characteristic conversion performance matrixes, and calculates a voltage conversion parameter adjustment set and a second conversion parameter adjustment set which are suitable for the current millimeter wave therapeutic apparatus by using a preset operation algorithm and a parameter optimization strategy. Through the voltage conversion parameter adjustment set, the therapeutic instrument can flexibly adjust the parameters of the first-stage and second-stage voltage converters so as to adapt to different therapeutic requirements and working conditions. Therefore, the therapeutic apparatus can realize more efficient and accurate power supply management, and the therapeutic effect and the safety are improved.
S106, generating a first target energy conversion strategy according to the first conversion parameter adjustment set and the first initial energy conversion strategy, and generating a second target energy conversion strategy according to the second conversion parameter adjustment set and the second initial energy conversion strategy.
Specifically, according to the first conversion parameter adjustment set, the server generates a plurality of first parameter optimization values of the first-stage voltage converter of the millimeter wave therapeutic apparatus under different working conditions. These optimized values reflect the optimal parameter settings of the voltage converter under different operating conditions to improve its energy conversion efficiency and stability. For example, when the therapeutic apparatus is operating in a high power mode, the server needs to adjust certain parameters of the first stage voltage converter to ensure that it can handle the high energy input efficiently. And carrying out parameter optimization and parameter updating on the first initial energy conversion strategy by utilizing the obtained multiple first parameter optimization values. This means that the server adjusts the initial energy conversion strategy of the first stage voltage converter according to the optimized values in the first conversion parameter adjustment set, so that the initial energy conversion strategy is more suitable for the requirements under different working conditions. For example, the server may adjust parameters such as output range, frequency, etc. of the voltage converter to meet therapy requirements for different power requirements and duration of the therapy session. Similarly, according to the second conversion parameter adjustment set, the server generates a plurality of second parameter optimization values of the second-stage voltage converter of the millimeter wave therapeutic apparatus under different working conditions. These optimized values represent the optimal parameter configuration of the second stage voltage converter under different operating conditions. And the server uses the optimized values to perform parameter optimization and parameter updating on the second initial energy conversion strategy to obtain a second target energy conversion strategy. In this way, the initial energy conversion strategy of the second stage voltage converter will be optimally adjusted according to different operating conditions to provide a more stable and efficient energy output. For example, assume that millimeter wave therapeutic devices are used to treat different types of muscle pain. For each type of pain, the therapeutic device needs to operate in different power modes and adjust the treatment time and frequency depending on the degree and location of the pain. Accordingly, it is desirable to optimize the parameters of the first stage and second stage voltage converters for different operating conditions to provide optimal energy conversion efficiency and stability. In practical application, the server obtains a first conversion parameter adjustment set and a second conversion parameter adjustment set through experimental tests. The first conversion parameter adjustment set is assumed to comprise five optimized values, which respectively correspond to the optimal parameter configurations of the therapeutic apparatus in different power modes. Meanwhile, the second conversion parameter adjustment set also comprises five optimized values, and corresponds to the optimal parameter setting of the second-stage voltage converter of the therapeutic apparatus under different working conditions. And according to the optimized values, the server performs parameter optimization and parameter updating on the first initial energy conversion strategy to generate a first target energy conversion strategy. For example, for high power mode, the server may increase the output range of the first stage voltage converter to ensure that it can handle higher energy inputs. And the server performs parameter optimization and parameter updating on the second initial energy conversion strategy according to the optimized value in the second conversion parameter adjustment set to obtain a second target energy conversion strategy. For example, for different treatment times and frequencies, the server may adjust the output frequency and waveform of the second stage voltage converter to meet the treatment needs of different pain types. Through such an optimization process, the millimeter wave therapeutic apparatus will provide a suitable energy output strategy under different working conditions to optimize therapeutic effect and safety. Meanwhile, the method for generating the target energy conversion strategy according to the conversion parameter adjustment set brings higher flexibility and intelligence to power supply management of the therapeutic apparatus.
In the embodiment of the invention, voltage conversion and temperature monitoring are carried out according to a first initial energy conversion strategy, intermediate voltage data and first temperature data are obtained, and first energy conversion efficiency data are calculated; performing voltage conversion and temperature monitoring according to a second initial energy conversion strategy to obtain target voltage data and second temperature data, and calculating second energy conversion efficiency data; constructing a first energy conversion performance matrix and constructing a second energy conversion performance matrix; the first energy conversion performance matrix and the second energy conversion performance matrix are input into a voltage conversion analysis model to carry out voltage conversion parameter analysis, and a first conversion parameter adjustment set and a second conversion parameter adjustment set are obtained. Unnecessary energy loss is reduced, more energy is converted into high-frequency alternating current energy, and therefore energy utilization efficiency is improved to the greatest extent. The millimeter wave therapeutic apparatus can continuously and stably output high-frequency alternating current energy when working for a long time through the target energy conversion strategy, and can realize high-efficiency energy conversion and stable output, and meanwhile, the high-efficiency energy conversion reduces energy loss, so that the millimeter wave therapeutic apparatus can continuously work for a longer time under the same battery capacity, the battery endurance time is prolonged, and the frequency of battery replacement is reduced. The flexibility and adjustability of the energy conversion strategy are realized by optimizing the energy conversion parameters, and the energy conversion parameters are automatically adjusted according to different requirements and working conditions so as to realize the optimal power supply effect. By monitoring and analyzing the energy conversion efficiency data and the temperature, abnormal conditions in the power supply process are detected and prevented in real time, the safety of the millimeter wave therapeutic apparatus is improved, and the risk of power supply faults is reduced.
In a specific embodiment, the process of executing step S101 may specifically include the following steps:
(1) Acquiring control mode information and target parameter information of a preset millimeter wave therapeutic apparatus, and determining a plurality of control power intervals according to the control mode information;
(2) Analyzing the test data of the control power intervals to obtain target test power data of the millimeter wave therapeutic instrument;
(3) According to the target parameter information, performing voltage calculation on the target test power data to obtain corresponding initial voltage data;
(4) Acquiring a plurality of first influence factors of a first-stage voltage converter in the millimeter wave therapeutic apparatus, and acquiring a plurality of second influence factors of a second-stage voltage converter in the millimeter wave therapeutic apparatus;
(5) Randomly generating a plurality of first candidate energy conversion strategies according to a plurality of first influence factors, and randomly generating a plurality of second candidate energy conversion strategies according to a plurality of second influence factors;
(6) And carrying out optimization calculation on the plurality of first candidate energy conversion strategies through a preset first objective function to obtain a first initial energy conversion strategy, and carrying out optimization calculation on the plurality of second candidate energy conversion strategies through a preset second objective function to obtain a second initial energy conversion strategy.
Specifically, the control mode information of the server for the millimeter wave therapeutic apparatus describes the operation state and parameter configuration of the therapeutic apparatus in different working modes. For example, the control mode information includes a power mode (high power mode, medium power mode, low power mode), a treatment time mode (long time treatment mode, short time treatment mode) and the like of the therapeutic apparatus. Such information is typically preset and may be selected by the user based on actual treatment requirements. According to the control mode information, the server determines a plurality of control power intervals. Different control power intervals correspond to different power modes and treatment time modes. For example, a high power mode corresponds to a larger power interval, and a low power mode corresponds to a smaller power interval. The control mode information is corresponding to a preset power interval, and the server defines a plurality of different working states for the millimeter wave therapeutic apparatus so as to meet different therapeutic requirements. And analyzing the test data of the control power intervals to obtain target test power data of the millimeter wave therapeutic instrument. The server tests the therapeutic instrument in each power interval and records the output actual power data. By counting and analyzing the test data, the server obtains target test power data of each power interval, and the data reflect the actual output power level of the therapeutic instrument under different working states. And according to the target parameter information, the server performs voltage calculation on the target test power data to obtain corresponding initial voltage data. The target parameter information includes the operating frequency, output power requirements, etc. of the millimeter wave therapeutic apparatus. By applying these target parameter information to the calculation of the target test power data, the server gets the initial voltage data required at the different power intervals, which will be the initial input of the voltage converter. After acquiring the target test power data and the initial voltage data, the server acquires a plurality of first influence factors of a first-stage voltage converter in the millimeter wave therapeutic apparatus and acquires a plurality of second influence factors of a second-stage voltage converter. These influencing factors include the operating efficiency of the voltage converter, the influence of temperature on the conversion efficiency, etc. Through experiments and tests, the server obtains data of the influencing factors. And randomly generating a plurality of first candidate energy conversion strategies according to the plurality of first influence factors, and randomly generating a plurality of second candidate energy conversion strategies according to the plurality of second influence factors. These candidate energy conversion strategies include parameter settings of the voltage converter, power regulation rules, etc. By randomly generating multiple candidate strategies, the server covers different parameter combinations to some extent to explore a wider range of energy conversion approaches. And the server performs optimization calculation on the plurality of first candidate energy conversion strategies through a preset first objective function to obtain a first initial energy conversion strategy. The first objective function is an optimization function, the input of which is the data of the first candidate energy conversion strategy and the first influencing factor, and the output of which is the corresponding optimization result. By calculating and comparing the optimization results of the plurality of candidate strategies, the server finds a first initial energy conversion strategy that is optimal in effect under given conditions. And performing optimization calculation on the plurality of second candidate energy conversion strategies through a preset second objective function to obtain a second initial energy conversion strategy. The second objective function is calculated in a similar manner to the first objective function but for the second candidate energy conversion strategy and the data of the second influencing factor.
In a specific embodiment, as shown in fig. 2, the process of executing step S102 may specifically include the following steps:
S201, carrying out input parameter analysis on a first initial energy conversion strategy to obtain a first input parameter, and carrying out parameter setting on a first-stage voltage converter according to the first input parameter;
S202, inputting initial voltage data into a first-stage voltage converter for voltage conversion to obtain intermediate voltage data;
S203, performing temperature monitoring on the voltage conversion process of the first-stage voltage converter to obtain first temperature data;
S204, calculating the energy conversion efficiency of the first-stage voltage converter according to the initial voltage data and the intermediate voltage data to obtain first initial conversion efficiency data;
S205, calculating first heat energy data of the first-stage voltage converter according to the first temperature data;
S206, carrying out conversion efficiency correction on the first initial conversion efficiency data according to the first heat energy data to obtain first energy conversion efficiency data.
Specifically, the server first parses and analyzes the first initial energy conversion strategy. The first initial energy conversion strategy includes a plurality of parameters, such as voltage conversion ratio, frequency adjustment rules, power regulation strategy, and the like. The server extracts these parameters from the policy to form a first set of input parameters. For example, assume that the first initial energy conversion strategy contains the following parameters: voltage conversion ratio (Voltage Conversion Ratio): representing a conversion ratio between an input voltage and an output voltage for adjusting the magnitude of the output power; frequency adjustment rule (Frequency Adjustment Rule): the regulation rule of the millimeter wave therapeutic instrument output frequency is expressed in different power intervals and is used for optimizing the energy conversion efficiency; power regulation strategy (Power Adjustment Strategy): the regulating strategy of the output power of the millimeter wave therapeutic apparatus is shown under different therapeutic modes and is used for meeting different therapeutic requirements. Analyzing a first initial energy conversion strategy, and obtaining a first input parameter set by a server: { voltage conversion ratio, frequency adjustment rule, power adjustment strategy }. And performing parameter setting on the first-stage voltage converter according to the first input parameter set. The first stage voltage converter typically comprises a series of adjustable voltage converter units, and the server effects regulation of the output voltage by adjusting parameters of these units. According to the parameters in the first input parameter set, the server sets corresponding voltage converter unit parameters to achieve the required energy conversion efficiency and power output. And inputting the initial voltage data into a first-stage voltage converter for voltage conversion to obtain intermediate voltage data. The initial voltage data is calculated based on the target parameter information, which is an initial input voltage for driving the voltage converter to operate. By inputting the initial voltage data to the first stage voltage converter, the converter will convert the input voltage according to its parameter settings, resulting in intermediate voltage data, which is the key data for connecting the subsequent conversion steps. And performing temperature monitoring on the voltage conversion process of the first-stage voltage converter to obtain first temperature data. In the voltage conversion process, the voltage converter can generate certain heat to influence the working temperature of the voltage converter. By temperature monitoring the voltage converter, the server obtains real-time first temperature data, which helps to understand the thermal effect of the voltage converter and the effect of temperature on the energy conversion efficiency. And calculating the energy conversion efficiency of the first-stage voltage converter according to the initial voltage data and the intermediate voltage data to obtain first initial conversion efficiency data. The energy conversion efficiency is an important indicator for measuring the performance of a voltage converter, and represents the conversion efficiency between input electric energy and output electric energy. And calculating the initial voltage data and the intermediate voltage data, and obtaining the energy conversion efficiency of the voltage converter in the current working state by the server. First thermal energy data of the first stage voltage converter is calculated according to the first temperature data. The first thermal energy data represents thermal energy generated by the voltage converter during operation, which is closely related to the operating temperature of the voltage converter. By calculating the first temperature data, the server obtains real-time first thermal energy data, which helps to further understand the thermal characteristics of the voltage converter. And correcting the conversion efficiency of the first initial conversion efficiency data according to the first heat energy data to obtain first energy conversion efficiency data. Thermal effects are one of the important factors affecting the energy conversion efficiency of a voltage converter, which can lead to energy losses. The server corrects the first initial conversion efficiency data by analyzing the first thermal energy data, and more accurate first energy conversion efficiency data is obtained. For example, assuming that the control mode information of the millimeter wave therapeutic apparatus of "MMWT-1000" is a high power mode, the target parameter information is that the output power needs to reach 10W. According to the control mode information, the server determines that the power interval corresponding to the high power mode is 8W to 12W. And carrying out input parameter analysis on the first initial energy conversion strategy to obtain a first input parameter set. Assume that the first initial energy conversion strategy is: voltage conversion ratio: 0.92, frequency adjustment rule: -0.015V/mW, power regulation strategy: the linear adjustment and the first input parameter set are as follows: {0.92, -0.015, linear adjustment }. And performing parameter setting on the first-stage voltage converter according to the first input parameter set. According to the first input parameter set, the server sets relevant unit parameters of the first-stage voltage converter: the voltage conversion ratio was set to 0.92 to achieve an output voltage 8% lower than the input voltage; the frequency adjustment rule is-0.015V/mW, and the output frequency is finely adjusted according to the output power; the power adjustment strategy is set to linear adjustment, and the output power is linearly adjusted according to the target power. And inputting the initial voltage data into a first-stage voltage converter for voltage conversion to obtain intermediate voltage data. According to the target parameter information, the server calculates initial voltage data: corresponding to a power interval 8W, the initial voltage data is 25V; the initial voltage data is 30V corresponding to the power interval 10W. These initial voltage data are input to a first stage voltage converter which converts the input voltage according to set parameters to obtain intermediate voltage data. It is assumed that at power interval 8W, the intermediate voltage data is 23V, and at power interval 10W, the intermediate voltage data is 28V. And performing temperature monitoring on the voltage conversion process of the first-stage voltage converter to obtain first temperature data. By arranging the temperature sensor on the first-stage voltage converter, the server monitors temperature change in the voltage conversion process in real time. It is assumed that during monitoring the operating temperature of the first stage voltage converter stabilizes at 40 ℃. And calculating the energy conversion efficiency of the first-stage voltage converter according to the initial voltage data and the intermediate voltage data to obtain first initial conversion efficiency data. The calculation formula of the energy conversion efficiency is as follows: energy conversion efficiency = output voltage/input voltage. At power interval 8W, the energy conversion efficiency is 23V/25V≡0.92, indicating that the converter converts 92% of the input voltage to the output voltage. While at power interval 10W, the energy conversion efficiency is 28V/30V≡0.93, indicating that the converter converts 93% of the input voltage to the output voltage. First thermal energy data of the first stage voltage converter is calculated according to the first temperature data. It is assumed that the server has built a thermal property model of the first stage voltage converter, which model shows that the thermal energy generated by the first stage voltage converter is 5W at an operating temperature of 40 ℃. And correcting the conversion efficiency of the first initial conversion efficiency data according to the first heat energy data to obtain first energy conversion efficiency data. Since the voltage converter generates thermal energy during operation, this thermal energy causes a certain energy loss. Therefore, the server corrects the first initial conversion efficiency data to obtain more accurate first energy conversion efficiency data. Assuming that the first initial conversion efficiency data is 0.92, the server performs correction in consideration of thermal energy loss, resulting in the first energy conversion efficiency data being 0.92- (5W/8W) ≡0.36. Indicating that the energy conversion efficiency of the first stage voltage converter is about 36%.
In a specific embodiment, as shown in fig. 3, the process of executing step S103 may specifically include the following steps:
s301, carrying out input parameter analysis on a second initial energy conversion strategy to obtain a second input parameter, and carrying out parameter setting on a second-stage voltage converter according to the second input parameter;
s302, inputting the intermediate voltage data into a second-stage voltage converter for voltage conversion to obtain target voltage data;
S303, performing temperature monitoring on the voltage conversion process of the second-stage voltage converter to obtain second temperature data;
S304, calculating the energy conversion efficiency of the second-stage voltage converter according to the intermediate voltage data and the target voltage data to obtain second initial conversion efficiency data;
s305, calculating second heat energy data of the second-stage voltage converter according to the second temperature data;
S306, carrying out conversion efficiency correction on the second initial conversion efficiency data according to the second heat energy data to obtain second energy conversion efficiency data.
Specifically, the server first parses and analyzes the second initial energy conversion strategy. The strategy comprises parameters such as voltage conversion proportion, frequency adjustment rule, power adjustment strategy and the like. The server obtains a second set of input parameters by parsing the parameters. For example, assume that the second initial energy conversion strategy includes the following parameters: voltage conversion ratio, frequency adjustment rules, power regulation strategies. And according to the second input parameter set, the server performs parameter setting on the second-stage voltage converter. The second stage voltage converter typically comprises a series of adjustable voltage converter cells. By adjusting the parameters of these units, the server effects regulation of the output voltage. According to the parameters in the second input parameter set, the server sets corresponding voltage converter unit parameters to achieve the required energy conversion efficiency and power output. The server inputs the intermediate voltage data into the second-stage voltage converter for voltage conversion to obtain target voltage data. The intermediate voltage data is output through the first stage voltage converter, which is the initial input voltage for driving the second stage voltage converter into operation. By inputting the intermediate voltage data to the second stage voltage converter, the converter will convert the input voltage according to its parameter settings, resulting in target voltage data, which is the key data for connecting the subsequent conversion steps. Meanwhile, the server monitors the temperature of the voltage conversion process of the second-stage voltage converter to obtain second temperature data. In the voltage conversion process, the voltage converter can generate certain heat to influence the working temperature of the voltage converter. By temperature monitoring the voltage converter, the server obtains real-time second temperature data, which helps to understand the thermal effect of the voltage converter and the effect of temperature on the energy conversion efficiency. And according to the intermediate voltage data and the target voltage data, the server calculates the energy conversion efficiency of the second-stage voltage converter, and obtains second initial conversion efficiency data. The energy conversion efficiency is an important indicator for measuring the performance of a voltage converter, and represents the conversion efficiency between input electric energy and output electric energy. And calculating the intermediate voltage data and the target voltage data, and obtaining the energy conversion efficiency of the voltage converter in the current working state by the server. And calculating second heat energy data of the second-stage voltage converter according to the second temperature data. The second thermal energy data represents thermal energy generated by the voltage converter during operation, which is closely related to the operating temperature of the voltage converter. By calculating the second temperature data, the server obtains real-time second thermal energy data, which helps to further understand the thermal characteristics of the voltage converter. And correcting the conversion efficiency of the second initial conversion efficiency data according to the second heat energy data to obtain second energy conversion efficiency data. Thermal effects are one of the important factors affecting the energy conversion efficiency of a voltage converter, which can lead to energy losses. And the server corrects the second initial conversion efficiency data by analyzing the second heat energy data to obtain more accurate second energy conversion efficiency data. For example, the server has a millimeter wave therapeutic apparatus named 'MMWT-2000', the control mode information is a high power mode, and the target parameter information is that the output power needs to reach 15W. According to the control mode information, the server determines that the power interval corresponding to the high power mode is 10W to 20W. In the actual test, the server performs a power test on "MMWT-2000" in the high power mode to obtain the following target test power data: corresponding to the power interval 10W, the actual output power is 12W; corresponding to a power interval 15W, the actual output power is 16W; the actual output power is 18W corresponding to the power interval 20W. According to the target parameter information, the server calculates intermediate voltage data: the intermediate voltage corresponding to 10W is 28V, the intermediate voltage corresponding to 15W is 30V, and the intermediate voltage corresponding to 20W is 32V. The server analyzes the input parameters of the second initial energy conversion strategy to obtain a second input parameter set: { voltage conversion ratio, frequency adjustment rule, power adjustment strategy }. The analysis result is assumed to be as follows: the voltage conversion ratio was 0.8, indicating that the output voltage was 80% of the input voltage. The frequency adjustment rule is that the output frequency is reduced by 10% in the power interval of 10W to 15W; at power intervals 15W to 20W, the output frequency is reduced by 5%. The power regulation strategy is to keep stable output power in a power interval of 10W to 15W; at power intervals 15W to 20W, power fluctuations between ±1w are allowed. And according to the second input parameter set, the server performs parameter setting on the second-stage voltage converter. The second stage voltage converter has a plurality of adjustable voltage converter cells. The server sets parameters of the voltage converter unit according to the input parameters to achieve the required energy conversion efficiency and power output. For example, according to the voltage conversion ratio of 0.8, the server sets the parameters of the voltage converter unit so that the output voltage is 80% of the input voltage. The server inputs the intermediate voltage data into the second-stage voltage converter for voltage conversion to obtain target voltage data. The target voltage data 30V is obtained by inputting the intermediate voltage data 28V to a second stage voltage converter which performs voltage conversion in accordance with the parameter setting. This target voltage will be used for an actual output power of 15W. Meanwhile, the server monitors the temperature of the voltage conversion process of the second-stage voltage converter to obtain second temperature data. By monitoring the temperature of the voltage converter, the server obtains real-time second temperature data to understand the thermal characteristics of the voltage converter and the effect of temperature on the energy conversion efficiency. According to the intermediate voltage data 30V and the target voltage data 32V, the server calculates the energy conversion efficiency of the second-stage voltage converter, and obtains second initial conversion efficiency data. Through calculation, the server knows that the energy conversion efficiency of the second-stage voltage converter is 85% in the current working state. The server calculates second heat energy data of the second-stage voltage converter according to the second temperature data. The server obtains real-time second thermal energy data by analyzing the second temperature data to further understand the thermal effect of the voltage converter and the influence of temperature on the energy conversion efficiency. And correcting the conversion efficiency of the second initial conversion efficiency data according to the second heat energy data to obtain second energy conversion efficiency data. Through the corrected energy conversion efficiency data, the server obtains more accurate second energy conversion efficiency data, which is helpful to optimize the performance and energy utilization efficiency of the millimeter wave therapeutic apparatus.
In a specific embodiment, the process of executing step S104 may specifically include the following steps:
(1) Performing probability density distribution operation on the first energy conversion efficiency data through a preset first probability density distribution function to generate a first energy conversion efficiency distribution map, and performing probability density distribution operation on the second energy conversion efficiency data through a preset second probability density distribution function to generate a second energy conversion efficiency distribution map;
(2) Analyzing the distribution characteristic values of the first energy conversion efficiency distribution map to obtain a plurality of first distribution map characteristic values, calculating first distribution characteristic average values corresponding to the first distribution map characteristic values, analyzing the distribution characteristic values of the second energy conversion efficiency distribution map to obtain a plurality of second distribution map characteristic values, and calculating second distribution characteristic average values corresponding to the second distribution map characteristic values;
(3) Feature screening is carried out on the first distribution map feature values according to the first distribution feature mean value to obtain a plurality of first target distribution feature values, and feature screening is carried out on the second distribution map feature values according to the second distribution feature mean value to obtain a plurality of second target distribution feature values;
(4) Performing curve fitting on the first temperature data through a preset first curve fitting function to obtain a first temperature curve, and performing curve fitting on the second temperature data through a preset second curve fitting function to obtain a second temperature curve;
(5) Analyzing the curve characteristic values of the first temperature curve to obtain a plurality of first curve characteristic values, calculating a first curve characteristic average value corresponding to the plurality of first curve characteristic values, analyzing the curve characteristic values of the second temperature curve to obtain a plurality of second curve characteristic values, and calculating a second curve characteristic average value corresponding to the plurality of second curve characteristic values;
(6) Feature screening is carried out on the first curve feature values according to the first curve feature mean value to obtain a plurality of first target curve feature values, and feature screening is carried out on the second curve feature values according to the second curve feature mean value to obtain a plurality of second target curve feature values;
(7) And performing matrix conversion on the plurality of first target distribution characteristic values and the plurality of first target curve characteristic values to obtain a first energy conversion performance matrix, and performing matrix conversion on the plurality of second target distribution characteristic values and the plurality of second target curve characteristic values to obtain a second energy conversion performance matrix.
Specifically, the server has first energy conversion efficiency data and second energy conversion efficiency data, which represent the energy conversion efficiency of the millimeter wave therapeutic apparatus under different operating conditions. The server performs probability density distribution operation on the data to know the distribution condition of energy conversion efficiency. For this purpose, the server performs probability density distribution operation on the first energy conversion efficiency data by using a preset first probability density distribution function, and generates a first energy conversion efficiency distribution map; and meanwhile, carrying out probability density distribution operation on the second energy conversion efficiency data by using a preset second probability density distribution function to generate a second energy conversion efficiency distribution map. And the server analyzes the distribution characteristic values of the first energy conversion efficiency distribution graph to obtain a plurality of first distribution graph characteristic values, and calculates a first distribution characteristic average value corresponding to the characteristic values. And similarly, the server analyzes the distribution characteristic values of the second energy conversion efficiency distribution graph to obtain a plurality of second distribution graph characteristic values, and calculates a second distribution characteristic mean value corresponding to the characteristic values. Based on the first distribution characteristic mean value, the server performs characteristic screening on the first distribution characteristic values to obtain a plurality of first target distribution characteristic values. And similarly, based on the second distribution characteristic mean value, the server performs characteristic screening on the second distribution characteristic values to obtain a plurality of second target distribution characteristic values. And the server performs curve fitting on the first temperature data by using a preset first curve fitting function to obtain a first temperature curve. And simultaneously, performing curve fitting on the second temperature data by using a preset second curve fitting function to obtain a second temperature curve. And analyzing the curve characteristic values of the first temperature curve to obtain a plurality of first curve characteristic values, and calculating a first curve characteristic average value corresponding to the characteristic values. And similarly, analyzing the curve characteristic values of the second temperature curve to obtain a plurality of second curve characteristic values, and calculating a second curve characteristic average value corresponding to the characteristic values. Based on the first curve characteristic mean value, the server performs characteristic screening on the plurality of first curve characteristic values to obtain a plurality of first target curve characteristic values. And similarly, based on the second curve characteristic mean value, the server performs characteristic screening on the plurality of second curve characteristic values to obtain a plurality of second target curve characteristic values. And the server performs matrix conversion on the plurality of first target distribution characteristic values and the plurality of first target curve characteristic values to obtain a first energy conversion performance matrix. And similarly, performing matrix conversion on the plurality of second target distribution characteristic values and the plurality of second target curve characteristic values to obtain a second energy conversion performance matrix.
In a specific embodiment, as shown in fig. 4, the process of performing step S105 may specifically include the following steps:
s401, inputting a first energy conversion performance matrix and a second energy conversion performance matrix into a preset voltage conversion analysis model, wherein the voltage conversion analysis model comprises: a first layer feature extraction model and a second layer feature operation model, the first layer feature extraction model comprising: a first bi-directional threshold cycle network and a second bi-directional threshold cycle network;
s402, extracting features of a first energy conversion performance matrix through a first bidirectional threshold cyclic network in a first layer of feature extraction model to obtain a first feature conversion performance matrix;
S403, performing feature extraction on the second energy conversion performance matrix through a second bidirectional threshold cyclic network in the first layer feature extraction model to obtain a second feature conversion performance matrix;
S404, performing voltage conversion parameter operation on the first characteristic conversion performance matrix through the second-layer characteristic operation model to obtain a first conversion parameter adjustment set, and performing voltage conversion parameter operation on the second characteristic conversion performance matrix through the second-layer characteristic operation model to obtain a second conversion parameter adjustment set.
Specifically, the server constructs a feature extraction and feature operation model comprising two layers. This model may help the server extract key features from the raw energy conversion performance data and get a set of voltage conversion parameter adjustments through specific operations. The first layer feature extraction model includes two bi-directional threshold cycle networks for processing the first and second energy conversion performance matrices, respectively. The cyclic networks are a special cyclic neural network, can capture long-term dependence in data, and are helpful for extracting important features of sequence data. And extracting the characteristics of the first energy conversion performance matrix by the server through the first bidirectional threshold circulation network to obtain the first characteristic conversion performance matrix. This matrix will contain important features extracted from the raw data such as the fluctuating trend of the energy conversion efficiency, peak points, etc. And extracting the characteristics of the second energy conversion performance matrix by the server through a second bidirectional threshold circulation network to obtain a second characteristic conversion performance matrix. This matrix will contain key features in the second energy conversion performance data. The server performs a second layer of feature operations for calculating a voltage conversion parameter adjustment set according to the first and second feature conversion performance matrices. This process may employ various algorithms, such as mathematical model-based optimization algorithms, machine learning algorithms, etc., with specific choices depending on the particular problem and the characteristics of the data. And performing voltage conversion parameter operation on the first characteristic conversion performance matrix through a second layer of characteristic operation model to obtain a first conversion parameter adjustment set. This set will contain a series of adjustment parameters for optimizing and adjusting the operating state of the first stage voltage converter in accordance with the first energy conversion performance data, thereby improving the energy conversion efficiency. And performing voltage conversion parameter operation on the second characteristic conversion performance matrix through a second layer of characteristic operation model to obtain a second conversion parameter adjustment set. This set will contain a series of tuning parameters for optimizing and tuning the operating state of the second stage voltage converter based on the second energy conversion performance data, thereby improving the energy conversion efficiency. For example, assume that the server has a millimeter wave therapeutic apparatus named "MMWT-2000", and energy conversion efficiency tests were performed under different operating conditions, and the following first and second energy conversion performance matrices were obtained: a first energy conversion performance matrix (unit:%): target feature value: working conditions 1, 80.4; working condition 2, 78.1; operating conditions 3, 84.1; a second energy conversion performance matrix (unit:%): target feature value: working conditions 1, 71.6; working conditions 2, 71.2; operating conditions 3, 80.5. The server performs feature extraction on the first energy conversion performance matrix through a first bidirectional threshold cycle network to obtain a first feature conversion performance matrix: target feature value: operating conditions 1, 82.3; working condition 2, 79.8; operating conditions 3, 83.6; meanwhile, feature extraction is carried out on the second energy conversion performance matrix through a second bidirectional threshold cyclic network, and a second feature conversion performance matrix is obtained: target feature value: working conditions 1, 73.4; working condition 2, 72.1; operating conditions 3, 79.2. The server performs a second layer of feature operations, and calculates a voltage conversion parameter adjustment set by using the feature conversion performance matrices. In this example, the server implements this process using a mathematical model-based optimization algorithm. And performing voltage conversion parameter operation on the first characteristic conversion performance matrix through a second layer of characteristic operation model to obtain a first conversion parameter adjustment set: conversion parameter 1, conversion parameter 2, conversion parameter 3: operating conditions 1,0.03,0.02,0.01; working condition 2:0.02,0.01,0.03; working condition 3:0.01,0.04,0.02. Similarly, voltage conversion parameter operation is performed on the second feature conversion performance matrix through a second layer of feature operation model, so as to obtain a second conversion parameter adjustment set: conversion parameter 1, conversion parameter 2, conversion parameter 3: operating conditions 1,0.02,0.01,0.03; operating conditions 2,0.01,0.03,0.02; operating conditions 3,0.04,0.02,0.01. In this way, the server successfully extracts key features from the first and second energy conversion performance matrices through a preset voltage conversion analysis model, and calculates first and second conversion parameter adjustment sets for optimizing and adjusting the voltage converter parameters. The parameter adjustment sets can help the server to enable the voltage converter of the millimeter wave therapeutic apparatus to operate in an optimal state under different working conditions, so that the energy conversion efficiency and the therapeutic performance are improved.
In a specific embodiment, the process of executing step S106 may specifically include the following steps:
(1) Generating a plurality of first parameter optimization values of a first-stage voltage converter of the millimeter wave therapeutic apparatus under different working conditions according to the first conversion parameter adjustment set;
(2) According to the multiple first parameter optimization values, parameter optimization and parameter updating are carried out on the first initial energy conversion strategy, and a first target energy conversion strategy is obtained;
(3) Generating a plurality of second parameter optimization values of a second-stage voltage converter of the millimeter wave therapeutic apparatus under different working conditions according to the second conversion parameter adjustment set;
(4) And carrying out parameter optimization and parameter updating on the second initial energy conversion strategy according to the plurality of second parameter optimization values to obtain a second target energy conversion strategy.
Specifically, a plurality of first parameter optimization values of the first-stage voltage converter are generated according to the first conversion parameter adjustment set. The first conversion parameter adjustment set records the adjustment parameters of the first-stage voltage converter under different working conditions. The server uses these parameters to calculate and generate a plurality of first parameter optimization values for the first stage voltage converter. These optimized values may include parameters such as voltage conversion ratio, frequency adjustment rules, power adjustment strategies, etc. for adjusting the output voltage and power of the first stage voltage converter. For example, assume that in the first set of conversion parameter adjustments, the following optimized values are recorded: working condition 1: the voltage conversion ratio is 0.85, the frequency adjustment rule is increased by 10%, and the power adjustment strategy is to keep constant power; working condition 2: the voltage conversion ratio is 0.80, the frequency adjustment rule is increased by 5%, and the power adjustment policy is to adjust power according to requirements; working condition 3: the voltage conversion ratio is 0.90, the frequency adjustment rule is 8% less, and the power adjustment strategy is to maintain maximum power. And carrying out parameter optimization and parameter updating on the first initial energy conversion strategy according to the first parameter optimization value to obtain a first target energy conversion strategy. The server applies the first parameter optimization value to the first initial energy conversion strategy, and adjusts related parameters according to the optimization values under different working conditions to obtain a first target energy conversion strategy adapting to different working conditions. For example, assume that the first initial energy conversion strategy is as follows: voltage conversion ratio: 0.80, frequency adjustment rule: increase 5%, power regulation strategy: the power is adjusted according to the requirements. After the first parameter optimization value is applied, a first target energy conversion strategy is obtained as follows: voltage conversion ratio: 0.90, frequency adjustment rule: 15% increase, power regulation strategy: the power is adjusted according to the requirements. The server similarly generates a plurality of second parameter optimization values for the second stage voltage converter from the second set of conversion parameter adjustments. The second conversion parameter adjustment set records adjustment parameters of the second-stage voltage converter under different working conditions. The server uses these parameters to calculate and generate a plurality of second parameter optimization values for the second stage voltage converter for adjusting the output voltage and power of the second stage voltage converter. For example, assume that in the second conversion parameter adjustment set, the following optimized values are recorded: working condition 1: the voltage conversion ratio is 0.75, the frequency adjustment rule is increased by 12%, and the power adjustment policy is to adjust the power according to the requirement; working condition 2: the voltage conversion ratio is 0.70, the frequency adjustment rule is 8% increase, and the power adjustment strategy is to keep constant power; working condition 3: the voltage conversion ratio is 0.80, the frequency adjustment rule is reduced by 5%, and the power adjustment policy is maintained at maximum power. And carrying out parameter optimization and parameter updating on the second initial energy conversion strategy according to the second parameter optimization value to obtain a second target energy conversion strategy. And applying the second parameter optimization value to a second initial energy conversion strategy, and adjusting related parameters according to the optimization values under different working conditions to obtain a second target energy conversion strategy adapting to different working conditions.
Through the steps, the invention realizes the high-efficiency conversion of the input energy through the multi-stage voltage converter and the optimized energy conversion parameter. Unnecessary energy loss is reduced, more energy is converted into high-frequency alternating current energy, and therefore energy utilization efficiency is improved to the greatest extent. The millimeter wave therapeutic apparatus can continuously and stably output high-frequency alternating current energy when working for a long time through the target energy conversion strategy, and can realize high-efficiency energy conversion and stable output, and meanwhile, the high-efficiency energy conversion reduces energy loss, so that the millimeter wave therapeutic apparatus can continuously work for a longer time under the same battery capacity, the battery endurance time is prolonged, and the frequency of battery replacement is reduced. The flexibility and adjustability of the energy conversion strategy are realized by optimizing the energy conversion parameters, and the energy conversion parameters are automatically adjusted according to different requirements and working conditions so as to realize the optimal power supply effect. By monitoring and analyzing the energy conversion efficiency data and the temperature, abnormal conditions in the power supply process are detected and prevented in real time, the safety of the millimeter wave therapeutic apparatus is improved, and the risk of power supply faults is reduced.
The power supply management method of the millimeter wave therapeutic apparatus in the embodiment of the present invention is described above, and the power supply management device of the millimeter wave therapeutic apparatus in the embodiment of the present invention is described below, referring to fig. 5, one embodiment of the power supply management device of the millimeter wave therapeutic apparatus in the embodiment of the present invention includes:
The acquiring module 501 is configured to acquire target test power data of a preset millimeter wave therapeutic apparatus, and calculate corresponding initial voltage data, a first initial energy conversion strategy and a second initial energy conversion strategy according to the target test power data, where the millimeter wave therapeutic apparatus includes a first-stage voltage converter and a second-stage voltage converter;
The first conversion module 502 is configured to perform voltage conversion and temperature monitoring on the initial voltage data according to the first initial energy conversion strategy by using the first stage voltage converter to obtain intermediate voltage data and first temperature data, and calculate corresponding first energy conversion efficiency data according to the initial voltage data and the intermediate voltage data;
a second conversion module 503, configured to perform voltage conversion and temperature monitoring on the intermediate voltage data according to the second initial energy conversion strategy by using the second stage voltage converter, obtain target voltage data and second temperature data, and calculate corresponding second energy conversion efficiency data according to the intermediate voltage data and the target voltage data;
a construction module 504, configured to construct a first energy conversion performance matrix according to the first energy conversion efficiency data and the first temperature data, and construct a second energy conversion performance matrix according to the second energy conversion efficiency data and the second temperature data;
The analysis module 505 is configured to input the first energy conversion performance matrix and the second energy conversion performance matrix into a preset voltage conversion analysis model to perform voltage conversion parameter analysis, so as to obtain a first conversion parameter adjustment set and a second conversion parameter adjustment set;
The generating module 506 is configured to generate a first target energy conversion policy according to the first conversion parameter adjustment set and the first initial energy conversion policy, and generate a second target energy conversion policy according to the second conversion parameter adjustment set and the second initial energy conversion policy.
Through the cooperative cooperation of the components, voltage conversion and temperature monitoring are carried out according to a first initial energy conversion strategy, intermediate voltage data and first temperature data are obtained, and first energy conversion efficiency data are calculated; performing voltage conversion and temperature monitoring according to a second initial energy conversion strategy to obtain target voltage data and second temperature data, and calculating second energy conversion efficiency data; constructing a first energy conversion performance matrix and constructing a second energy conversion performance matrix; the first energy conversion performance matrix and the second energy conversion performance matrix are input into a voltage conversion analysis model to carry out voltage conversion parameter analysis, and a first conversion parameter adjustment set and a second conversion parameter adjustment set are obtained. Unnecessary energy loss is reduced, more energy is converted into high-frequency alternating current energy, and therefore energy utilization efficiency is improved to the greatest extent. The millimeter wave therapeutic apparatus can continuously and stably output high-frequency alternating current energy when working for a long time through the target energy conversion strategy, and can realize high-efficiency energy conversion and stable output, and meanwhile, the high-efficiency energy conversion reduces energy loss, so that the millimeter wave therapeutic apparatus can continuously work for a longer time under the same battery capacity, the battery endurance time is prolonged, and the frequency of battery replacement is reduced. The flexibility and adjustability of the energy conversion strategy are realized by optimizing the energy conversion parameters, and the energy conversion parameters are automatically adjusted according to different requirements and working conditions so as to realize the optimal power supply effect. By monitoring and analyzing the energy conversion efficiency data and the temperature, abnormal conditions in the power supply process are detected and prevented in real time, the safety of the millimeter wave therapeutic apparatus is improved, and the risk of power supply faults is reduced.
The power supply management device of the millimeter wave therapeutic apparatus in the embodiment of the present invention is described in detail from the point of view of modularized functional entities in fig. 5 above, and the power supply management device of the millimeter wave therapeutic apparatus in the embodiment of the present invention is described in detail from the point of view of hardware processing below.
Fig. 6 is a schematic structural diagram of a power management device of a millimeter wave therapeutic apparatus according to an embodiment of the present invention, where the power management device 600 of the millimeter wave therapeutic apparatus may have a relatively large difference due to different configurations or performances, and may include one or more processors (central processing units, CPU) 610 (e.g., one or more processors) and a memory 620, and one or more storage mediums 630 (e.g., one or more mass storage devices) storing application programs 633 or data 632. Wherein the memory 620 and the storage medium 630 may be transitory or persistent storage. The program stored in the storage medium 630 may include one or more modules (not shown), each of which may include a series of instruction operations in the power supply management device 600 of the millimeter wave therapeutic apparatus. Still further, the processor 610 may be configured to communicate with the storage medium 630 to execute a series of instruction operations in the storage medium 630 on the power management device 600 of the millimeter wave therapeutic apparatus.
The power management device 600 of the millimeter wave therapeutic apparatus may also include one or more power supplies 640, one or more wired or wireless network interfaces 650, one or more input/output interfaces 660, and/or one or more operating systems 631, such as Windows Server, mac OS X, unix, linux, freeBSD, and the like. It will be appreciated by those skilled in the art that the configuration of the power management device of the millimeter wave therapeutic apparatus shown in fig. 6 does not constitute a limitation of the power management device of the millimeter wave therapeutic apparatus, and may include more or less components than those illustrated, or may combine certain components, or may be arranged in different components.
The invention also provides a power supply management device of the millimeter wave therapeutic apparatus, which comprises a memory and a processor, wherein the memory stores computer readable instructions, and the computer readable instructions, when executed by the processor, cause the processor to execute the steps of the power supply management method of the millimeter wave therapeutic apparatus in the above embodiments.
The present invention also provides a computer readable storage medium, which may be a non-volatile computer readable storage medium, and may also be a volatile computer readable storage medium, where instructions are stored in the computer readable storage medium, when the instructions are executed on a computer, cause the computer to perform the steps of the power supply management method of the millimeter wave therapeutic apparatus.
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, which are not repeated herein.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a random access memory (random access memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (9)
1. The power supply management method of the millimeter wave therapeutic apparatus is characterized by comprising the following steps of:
Acquiring target test power data of a preset millimeter wave therapeutic apparatus, and calculating corresponding initial voltage data, a first initial energy conversion strategy and a second initial energy conversion strategy according to the target test power data, wherein the millimeter wave therapeutic apparatus comprises a first-stage voltage converter and a second-stage voltage converter; the method specifically comprises the following steps: acquiring control mode information and target parameter information of a preset millimeter wave therapeutic apparatus, and determining a plurality of control power intervals according to the control mode information; analyzing the test data of the control power intervals to obtain target test power data of the millimeter wave therapeutic instrument; according to the target parameter information, performing voltage calculation on the target test power data to obtain corresponding initial voltage data; acquiring a plurality of first influence factors of a first-stage voltage converter in the millimeter wave therapeutic apparatus, and acquiring a plurality of second influence factors of a second-stage voltage converter in the millimeter wave therapeutic apparatus; randomly generating a plurality of first candidate energy conversion strategies according to the plurality of first influence factors, and randomly generating a plurality of second candidate energy conversion strategies according to the plurality of second influence factors; optimizing and calculating the plurality of first candidate energy conversion strategies through a preset first objective function to obtain a first initial energy conversion strategy, and optimizing and calculating the plurality of second candidate energy conversion strategies through a preset second objective function to obtain a second initial energy conversion strategy;
Performing voltage conversion and temperature monitoring on the initial voltage data through the first-stage voltage converter according to the first initial energy conversion strategy to obtain intermediate voltage data and first temperature data, and calculating corresponding first energy conversion efficiency data according to the initial voltage data and the intermediate voltage data;
Performing voltage conversion and temperature monitoring on the intermediate voltage data through the second-stage voltage converter according to the second initial energy conversion strategy to obtain target voltage data and second temperature data, and calculating corresponding second energy conversion efficiency data according to the intermediate voltage data and the target voltage data;
Constructing a first energy conversion performance matrix according to the first energy conversion efficiency data and the first temperature data, and constructing a second energy conversion performance matrix according to the second energy conversion efficiency data and the second temperature data;
Inputting the first energy conversion performance matrix and the second energy conversion performance matrix into a preset voltage conversion analysis model to perform voltage conversion parameter analysis to obtain a first conversion parameter adjustment set and a second conversion parameter adjustment set;
Generating a first target energy conversion strategy according to the first conversion parameter adjustment set and the first initial energy conversion strategy, and generating a second target energy conversion strategy according to the second conversion parameter adjustment set and the second initial energy conversion strategy.
2. The power supply management method of the millimeter wave therapeutic apparatus according to claim 1, wherein the performing voltage conversion and temperature monitoring on the initial voltage data by the first-stage voltage converter according to the first initial energy conversion strategy to obtain intermediate voltage data and first temperature data, and calculating corresponding first energy conversion efficiency data according to the initial voltage data and the intermediate voltage data, includes:
carrying out input parameter analysis on the first initial energy conversion strategy to obtain a first input parameter, and carrying out parameter setting on the first-stage voltage converter according to the first input parameter;
inputting the initial voltage data into the first-stage voltage converter for voltage conversion to obtain intermediate voltage data;
Temperature monitoring is carried out on the voltage conversion process of the first-stage voltage converter to obtain first temperature data;
calculating the energy conversion efficiency of the first-stage voltage converter according to the initial voltage data and the intermediate voltage data to obtain first initial conversion efficiency data;
calculating first thermal energy data of the first-stage voltage converter according to the first temperature data;
And correcting the conversion efficiency of the first initial conversion efficiency data according to the first heat energy data to obtain first energy conversion efficiency data.
3. The power supply management method of the millimeter wave therapeutic apparatus according to claim 1, wherein the performing voltage conversion and temperature monitoring on the intermediate voltage data by the second-stage voltage converter according to the second initial energy conversion strategy to obtain target voltage data and second temperature data, and calculating corresponding second energy conversion efficiency data according to the intermediate voltage data and the target voltage data, includes:
Carrying out input parameter analysis on the second initial energy conversion strategy to obtain a second input parameter, and carrying out parameter setting on the second-stage voltage converter according to the second input parameter;
inputting the intermediate voltage data into the second-stage voltage converter for voltage conversion to obtain target voltage data;
temperature monitoring is carried out on the voltage conversion process of the second-stage voltage converter to obtain second temperature data;
Calculating the energy conversion efficiency of the second-stage voltage converter according to the intermediate voltage data and the target voltage data to obtain second initial conversion efficiency data;
calculating second thermal energy data of the second-stage voltage converter according to the second temperature data;
and correcting the conversion efficiency of the second initial conversion efficiency data according to the second heat energy data to obtain second energy conversion efficiency data.
4. The power supply management method of the millimeter wave therapeutic apparatus according to claim 1, wherein the constructing a first energy conversion performance matrix from the first energy conversion efficiency data and the first temperature data and constructing a second energy conversion performance matrix from the second energy conversion efficiency data and the second temperature data includes:
Performing probability density distribution operation on the first energy conversion efficiency data through a preset first probability density distribution function to generate a first energy conversion efficiency distribution map, and performing probability density distribution operation on the second energy conversion efficiency data through a preset second probability density distribution function to generate a second energy conversion efficiency distribution map;
analyzing the distribution characteristic values of the first energy conversion efficiency distribution map to obtain a plurality of first distribution map characteristic values, calculating first distribution characteristic average values corresponding to the first distribution map characteristic values, analyzing the distribution characteristic values of the second energy conversion efficiency distribution map to obtain a plurality of second distribution map characteristic values, and calculating second distribution characteristic average values corresponding to the second distribution map characteristic values;
Feature screening is carried out on the first distribution map feature values according to the first distribution feature mean value to obtain a plurality of first target distribution feature values, and feature screening is carried out on the second distribution map feature values according to the second distribution feature mean value to obtain a plurality of second target distribution feature values;
Performing curve fitting on the first temperature data through a preset first curve fitting function to obtain a first temperature curve, and performing curve fitting on the second temperature data through a preset second curve fitting function to obtain a second temperature curve;
Analyzing the curve characteristic values of the first temperature curve to obtain a plurality of first curve characteristic values, calculating first curve characteristic average values corresponding to the plurality of first curve characteristic values, analyzing the curve characteristic values of the second temperature curve to obtain a plurality of second curve characteristic values, and calculating second curve characteristic average values corresponding to the plurality of second curve characteristic values;
feature screening is carried out on the first curve feature values according to the first curve feature mean value to obtain a plurality of first target curve feature values, and feature screening is carried out on the second curve feature values according to the second curve feature mean value to obtain a plurality of second target curve feature values;
And performing matrix conversion on the first target distribution characteristic values and the first target curve characteristic values to obtain a first energy conversion performance matrix, and performing matrix conversion on the second target distribution characteristic values and the second target curve characteristic values to obtain a second energy conversion performance matrix.
5. The power supply management method of the millimeter wave therapeutic apparatus according to claim 1, wherein inputting the first energy conversion performance matrix and the second energy conversion performance matrix into a preset voltage conversion analysis model to perform voltage conversion parameter analysis, to obtain a first conversion parameter adjustment set and a second conversion parameter adjustment set, includes:
Inputting the first energy conversion performance matrix and the second energy conversion performance matrix into a preset voltage conversion analysis model, wherein the voltage conversion analysis model comprises the following components: a first layer of feature extraction model and a second layer of feature operation model, the first layer of feature extraction model comprising: a first bi-directional threshold cycle network and a second bi-directional threshold cycle network;
Performing feature extraction on the first energy conversion performance matrix through a first bidirectional threshold cycle network in the first layer feature extraction model to obtain a first feature conversion performance matrix;
performing feature extraction on the second energy conversion performance matrix through a second bidirectional threshold circulation network in the first layer feature extraction model to obtain a second feature conversion performance matrix;
and performing voltage conversion parameter operation on the first characteristic conversion performance matrix through the second layer characteristic operation model to obtain a first conversion parameter adjustment set, and performing voltage conversion parameter operation on the second characteristic conversion performance matrix through the second layer characteristic operation model to obtain a second conversion parameter adjustment set.
6. The power management method of the millimeter wave therapeutic apparatus according to claim 1, wherein the generating a first target energy conversion strategy according to the first conversion parameter adjustment set and the first initial energy conversion strategy, and generating a second target energy conversion strategy according to the second conversion parameter adjustment set and the second initial energy conversion strategy, comprises:
generating a plurality of first parameter optimization values of the first-stage voltage converter of the millimeter wave therapeutic apparatus under different working conditions according to the first conversion parameter adjustment set;
according to the plurality of first parameter optimization values, parameter optimization and parameter updating are carried out on the first initial energy conversion strategy, and a first target energy conversion strategy is obtained;
Generating a plurality of second parameter optimization values of the second-stage voltage converter of the millimeter wave therapeutic apparatus under different working conditions according to the second conversion parameter adjustment set;
and carrying out parameter optimization and parameter updating on the second initial energy conversion strategy according to the plurality of second parameter optimization values to obtain a second target energy conversion strategy.
7. A power supply management device of a millimeter wave therapeutic apparatus, characterized in that the power supply management device of a millimeter wave therapeutic apparatus comprises:
The millimeter wave therapeutic apparatus comprises an acquisition module, a first energy conversion strategy and a second energy conversion strategy, wherein the acquisition module is used for acquiring target test power data of a preset millimeter wave therapeutic apparatus and calculating corresponding initial voltage data, the first initial energy conversion strategy and the second initial energy conversion strategy according to the target test power data, and the millimeter wave therapeutic apparatus comprises a first-stage voltage converter and a second-stage voltage converter; the method specifically comprises the following steps: acquiring control mode information and target parameter information of a preset millimeter wave therapeutic apparatus, and determining a plurality of control power intervals according to the control mode information; analyzing the test data of the control power intervals to obtain target test power data of the millimeter wave therapeutic instrument; according to the target parameter information, performing voltage calculation on the target test power data to obtain corresponding initial voltage data; acquiring a plurality of first influence factors of a first-stage voltage converter in the millimeter wave therapeutic apparatus, and acquiring a plurality of second influence factors of a second-stage voltage converter in the millimeter wave therapeutic apparatus; randomly generating a plurality of first candidate energy conversion strategies according to the plurality of first influence factors, and randomly generating a plurality of second candidate energy conversion strategies according to the plurality of second influence factors; optimizing and calculating the plurality of first candidate energy conversion strategies through a preset first objective function to obtain a first initial energy conversion strategy, and optimizing and calculating the plurality of second candidate energy conversion strategies through a preset second objective function to obtain a second initial energy conversion strategy;
The first conversion module is used for carrying out voltage conversion and temperature monitoring on the initial voltage data according to the first initial energy conversion strategy through the first stage voltage converter to obtain intermediate voltage data and first temperature data, and calculating corresponding first energy conversion efficiency data according to the initial voltage data and the intermediate voltage data;
The second conversion module is used for carrying out voltage conversion and temperature monitoring on the intermediate voltage data according to the second initial energy conversion strategy through the second-stage voltage converter to obtain target voltage data and second temperature data, and calculating corresponding second energy conversion efficiency data according to the intermediate voltage data and the target voltage data;
the construction module is used for constructing a first energy conversion performance matrix according to the first energy conversion efficiency data and the first temperature data and constructing a second energy conversion performance matrix according to the second energy conversion efficiency data and the second temperature data;
the analysis module is used for inputting the first energy conversion performance matrix and the second energy conversion performance matrix into a preset voltage conversion analysis model to perform voltage conversion parameter analysis, so as to obtain a first conversion parameter adjustment set and a second conversion parameter adjustment set;
The generation module is used for generating a first target energy conversion strategy according to the first conversion parameter adjustment set and the first initial energy conversion strategy, and generating a second target energy conversion strategy according to the second conversion parameter adjustment set and the second initial energy conversion strategy.
8. A power supply management apparatus of a millimeter wave therapeutic apparatus, characterized by comprising: a memory and at least one processor, the memory having instructions stored therein;
the at least one processor invokes the instructions in the memory to cause a power management device of the millimeter wave therapeutic apparatus to perform the power management method of the millimeter wave therapeutic apparatus of any one of claims 1-6.
9. A computer-readable storage medium having instructions stored thereon, which when executed by a processor, implement the power management method of the millimeter wave therapeutic apparatus according to any one of claims 1 to 6.
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