Disclosure of Invention
In order to solve at least one of the above technical problems, the present invention provides a method and a system for optimizing transmission efficiency of a wireless charger based on data analysis.
The first aspect of the invention provides a wireless charger transmission efficiency optimization method based on data analysis, which comprises the following steps:
Acquiring electromagnetic radiation data of a transmitting end and electromagnetic radiation data of a receiving end of the wireless charger in the working process within a preset time period, wherein the electromagnetic radiation data comprise power, radiation frequency, radiation direction and radiation waveform of electromagnetic radiation;
Performing gap analysis on the electromagnetic radiation data of the transmitting end and the electromagnetic radiation data of the receiving end based on a PCA algorithm to obtain gap data;
according to the gap data, the electromagnetic radiation transmission loss of the wireless charger in the working process is evaluated, and the electromagnetic radiation transmission efficiency of the wireless charger is calculated according to the electromagnetic radiation transmission loss;
according to the electromagnetic radiation transmission efficiency, the working parameters of the wireless charger in the working process are adaptively optimized, and an adaptive optimization scheme of the wireless charger is obtained;
And according to the self-adaptive optimization scheme, the safety of the wireless charger is monitored in real time to obtain a safety monitoring result, and safety early warning is carried out according to the safety monitoring result.
In this scheme, obtain the transmitting end electromagnetic radiation data and the receiving end electromagnetic radiation data of wireless charger in the course of the work in the preset time quantum, electromagnetic radiation data includes electromagnetic radiation's power, radiation frequency, radiation direction, radiation waveform, specifically does:
Acquiring power, radiation frequency, radiation direction and radiation waveform of electromagnetic radiation of an electromagnetic radiation transmitting end and an electromagnetic radiation receiving end of a wireless charger in a preset time period in the process of charging target equipment by using an electromagnetic radiation sensor, and obtaining electromagnetic radiation data of the transmitting end and electromagnetic radiation data of the receiving end;
performing alignment operation on the electromagnetic radiation data of the transmitting end and the electromagnetic radiation data of the receiving end according to a time sequence;
And performing data cleaning operation on the electromagnetic radiation data after the alignment operation, wherein the data cleaning operation comprises missing value processing, abnormal value detection and processing and data consistency checking.
In this scheme, the PCA algorithm performs a gap analysis on the electromagnetic radiation data of the transmitting end and the electromagnetic radiation data of the receiving end to obtain gap data, which specifically includes:
Introducing a PCA algorithm, and constructing a data matrix by using the electromagnetic radiation data of the transmitting end and the electromagnetic radiation data of the receiving end to obtain a data matrix of the transmitting end and a data matrix of the receiving end;
Carrying out standardization processing on the transmitting end data matrix and the receiving end data matrix, and calculating a covariance matrix of the standardized data matrix;
performing feature decomposition on the covariance matrix to obtain feature values and feature vectors corresponding to the feature values, performing feature importance assessment on the feature vectors according to the size of the feature values, performing sorting operation on the feature vectors according to the importance, and selecting the feature vectors with the previous K importance as main components;
Forming a projection matrix by taking the selected main components as column vectors, and multiplying the standardized transmitting end data matrix and the standardized receiving end data matrix by the projection matrix to obtain dimension-reduced transmitting end electromagnetic radiation data and dimension-reduced receiving end electromagnetic radiation data;
Calculating the characteristic value difference and the included angle of the characteristic vector of each electromagnetic radiation data in each transmitting end and each electromagnetic radiation data in the receiving end according to the electromagnetic radiation data of the dimension reduction transmitting end and the electromagnetic radiation data of the dimension reduction receiving end;
And evaluating the difference between the electromagnetic radiation data of the transmitting end and the electromagnetic radiation data of the receiving end according to the difference of the characteristic values and the included angle of the characteristic vectors to obtain difference data.
In this scheme, the electromagnetic radiation transmission electromagnetic radiation loss of wireless charger in the charging process is estimated according to gap data, calculates wireless charger's electromagnetic radiation transmission efficiency according to electromagnetic radiation loss, specifically:
Acquiring electromagnetic radiation data items which can influence the electromagnetic radiation transmission efficiency in the electromagnetic radiation data based on the internet technology, and extracting electromagnetic radiation data corresponding to the electromagnetic radiation data items according to the electromagnetic radiation data to obtain electromagnetic radiation transmission efficiency influence data;
performing data standardization processing on the electromagnetic radiation transmission efficiency influence data based on a z-score standardization method to obtain standardized influence data with the same magnitude;
Calculating the information entropy of the standardized influence data based on an information entropy weight method, determining the influence weight of each electromagnetic radiation data on the electromagnetic radiation transmission efficiency according to the information entropy, and obtaining weight information;
And calculating the electromagnetic radiation transmission efficiency of the wireless charger according to the difference data and the weight information to obtain the electromagnetic radiation transmission efficiency change data of the wireless charger in a preset time period.
In this scheme, according to electromagnetic radiation transmission efficiency carries out the self-adaptation to wireless charger's operating parameter in the course of the work and optimizes, obtains wireless charger's self-adaptation optimization scheme, specifically does:
drawing electromagnetic radiation transmission efficiency change data of the wireless charger within the preset time period into an efficiency change curve chart;
converting the time domain signal of the efficiency change curve graph into a frequency domain signal based on a Fourier transform method, performing spectrum analysis on the frequency domain signal, and determining energy distribution conditions on different frequencies in the frequency domain signal;
Counting according to the energy distribution condition and the frequency domain signal peak value, determining the frequency component of the frequency domain signal, and determining the periodic variation characteristic of an efficiency variation curve chart according to the frequency component;
Constructing an electromagnetic radiation transmission efficiency change prediction model based on an LSTM algorithm, introducing the periodic change characteristics into the prediction model for learning and training, identifying the change rule of the periodic change characteristics, and taking the change rule as a prediction basis of the prediction model;
Acquiring the current working time length and the current electromagnetic radiation transmission efficiency of the wireless charger, and guiding the current working time length and the current electromagnetic radiation transmission efficiency into a prediction model to predict the electromagnetic radiation transmission efficiency of a preset time period in the future to obtain a prediction result;
And acquiring an optimal electromagnetic radiation data receiving range of the receiving end equipment, calculating an electromagnetic radiation difference between the prediction result and the optimal electromagnetic radiation data receiving range of the receiving end equipment, formulating an adaptive optimization scheme of working parameters of the wireless charger in a preset time period in the future according to the electromagnetic radiation difference, and performing adaptive optimization on the working parameters of the wireless charger in the preset time period in the future according to the adaptive optimization scheme of the working parameters.
In this scheme, according to self-adaptation optimizing scheme carries out real-time supervision to wireless charger's security, obtains the security monitoring result, carries out the security early warning according to the security monitoring result, specifically does:
The wireless charger after the self-adaptive optimization scheme is implemented is monitored in real time, and real-time change data of electromagnetic radiation transmission efficiency are obtained;
calculating the electromagnetic radiation loss rate of the wireless charger according to the real-time change data, and obtaining the electromagnetic radiation loss rate;
Acquiring temperature distribution images of an electromagnetic radiation transmitting end and a receiving end of the wireless charger in the working process by an infrared temperature detector, analyzing according to the electromagnetic radiation loss rate and the temperature distribution images, and calculating conversion energy efficiency of the lost electromagnetic radiation into heat energy;
according to the conversion energy efficiency and the change of the temperature distribution image in the preset time period, the heat radiation performance of the transmitting end and the receiving end is evaluated;
Establishing a heat conduction model of a transmitting end and a receiving end, dividing the surfaces of the transmitting end and the receiving end, performing discretization operation on time steps, determining temperature boundary conditions of the transmitting end and the receiving end according to temperature distribution images and heat dissipation performance of the transmitting end and the receiving end, constructing a heat conduction equation set based on the temperature boundary conditions by a finite difference method, and simulating heat conduction of the transmitting end and the receiving end based on the heat conduction model and the heat conduction equation set to obtain a heat conduction simulation model;
Predicting the temperature distribution change of a transmitting end and a receiving end in real time according to the electromagnetic radiation loss rate and the heat conduction simulation model;
And monitoring the safety of the wireless charger in the working process according to the temperature distribution change to obtain a safety monitoring result, and carrying out safety early warning according to the safety monitoring result.
The second aspect of the present invention also provides a wireless charger transmission efficiency optimization system based on data analysis, the system comprising: the wireless charger transmission efficiency optimization method based on data analysis comprises a memory and a processor, wherein the memory comprises a wireless charger transmission efficiency optimization method program based on data analysis, and when the wireless charger transmission efficiency optimization method program based on data analysis is executed by the processor, the following steps are realized:
Acquiring electromagnetic radiation data of a transmitting end and electromagnetic radiation data of a receiving end of the wireless charger in the working process within a preset time period, wherein the electromagnetic radiation data comprise power, radiation frequency, radiation direction and radiation waveform of electromagnetic radiation;
Performing gap analysis on the electromagnetic radiation data of the transmitting end and the electromagnetic radiation data of the receiving end based on a PCA algorithm to obtain gap data;
according to the gap data, the electromagnetic radiation transmission loss of the wireless charger in the working process is evaluated, and the electromagnetic radiation transmission efficiency of the wireless charger is calculated according to the electromagnetic radiation transmission loss;
according to the electromagnetic radiation transmission efficiency, the working parameters of the wireless charger in the working process are adaptively optimized, and an adaptive optimization scheme of the wireless charger is obtained;
And according to the self-adaptive optimization scheme, the safety of the wireless charger is monitored in real time to obtain a safety monitoring result, and safety early warning is carried out according to the safety monitoring result.
In this scheme, the electromagnetic radiation transmission electromagnetic radiation loss of wireless charger in the charging process is estimated according to gap data, calculates wireless charger's electromagnetic radiation transmission efficiency according to electromagnetic radiation loss, specifically:
Acquiring electromagnetic radiation data items which can influence the electromagnetic radiation transmission efficiency in the electromagnetic radiation data based on the internet technology, and extracting electromagnetic radiation data corresponding to the electromagnetic radiation data items according to the electromagnetic radiation data to obtain electromagnetic radiation transmission efficiency influence data;
performing data standardization processing on the electromagnetic radiation transmission efficiency influence data based on a z-score standardization method to obtain standardized influence data with the same magnitude;
Calculating the information entropy of the standardized influence data based on an information entropy weight method, determining the influence weight of each electromagnetic radiation data on the electromagnetic radiation transmission efficiency according to the information entropy, and obtaining weight information;
And calculating the electromagnetic radiation transmission efficiency of the wireless charger according to the difference data and the weight information to obtain the electromagnetic radiation transmission efficiency change data of the wireless charger in a preset time period.
In this scheme, according to electromagnetic radiation transmission efficiency carries out the self-adaptation to wireless charger's operating parameter in the course of the work and optimizes, obtains wireless charger's self-adaptation optimization scheme, specifically does:
drawing electromagnetic radiation transmission efficiency change data of the wireless charger within the preset time period into an efficiency change curve chart;
converting the time domain signal of the efficiency change curve graph into a frequency domain signal based on a Fourier transform method, performing spectrum analysis on the frequency domain signal, and determining energy distribution conditions on different frequencies in the frequency domain signal;
Counting according to the energy distribution condition and the frequency domain signal peak value, determining the frequency component of the frequency domain signal, and determining the periodic variation characteristic of an efficiency variation curve chart according to the frequency component;
Constructing an electromagnetic radiation transmission efficiency change prediction model based on an LSTM algorithm, introducing the periodic change characteristics into the prediction model for learning and training, identifying the change rule of the periodic change characteristics, and taking the change rule as a prediction basis of the prediction model;
Acquiring the current working time length and the current electromagnetic radiation transmission efficiency of the wireless charger, and guiding the current working time length and the current electromagnetic radiation transmission efficiency into a prediction model to predict the electromagnetic radiation transmission efficiency of a preset time period in the future to obtain a prediction result;
And acquiring an optimal electromagnetic radiation data receiving range of the receiving end equipment, calculating an electromagnetic radiation difference between the prediction result and the optimal electromagnetic radiation data receiving range of the receiving end equipment, formulating an adaptive optimization scheme of working parameters of the wireless charger in a preset time period in the future according to the electromagnetic radiation difference, and performing adaptive optimization on the working parameters of the wireless charger in the preset time period in the future according to the adaptive optimization scheme of the working parameters.
In this scheme, according to self-adaptation optimizing scheme carries out real-time supervision to wireless charger's security, obtains the security monitoring result, carries out the security early warning according to the security monitoring result, specifically does:
The wireless charger after the self-adaptive optimization scheme is implemented is monitored in real time, and real-time change data of electromagnetic radiation transmission efficiency are obtained;
calculating the electromagnetic radiation loss rate of the wireless charger according to the real-time change data, and obtaining the electromagnetic radiation loss rate;
Acquiring temperature distribution images of an electromagnetic radiation transmitting end and a receiving end of the wireless charger in the working process by an infrared temperature detector, analyzing according to the electromagnetic radiation loss rate and the temperature distribution images, and calculating conversion energy efficiency of the lost electromagnetic radiation into heat energy;
according to the conversion energy efficiency and the change of the temperature distribution image in the preset time period, the heat radiation performance of the transmitting end and the receiving end is evaluated;
Establishing a heat conduction model of a transmitting end and a receiving end, dividing the surfaces of the transmitting end and the receiving end, performing discretization operation on time steps, determining temperature boundary conditions of the transmitting end and the receiving end according to temperature distribution images and heat dissipation performance of the transmitting end and the receiving end, constructing a heat conduction equation set based on the temperature boundary conditions by a finite difference method, and simulating heat conduction of the transmitting end and the receiving end based on the heat conduction model and the heat conduction equation set to obtain a heat conduction simulation model;
Predicting the temperature distribution change of a transmitting end and a receiving end in real time according to the electromagnetic radiation loss rate and the heat conduction simulation model;
And monitoring the safety of the wireless charger in the working process according to the temperature distribution change to obtain a safety monitoring result, and carrying out safety early warning according to the safety monitoring result.
The invention discloses a wireless charger transmission efficiency optimization method and system based on data analysis, which are used for improving the transmission efficiency and safety of a wireless charger. Firstly, acquiring electromagnetic radiation data of a transmitting end and a receiving end of a wireless charger in a preset time period; secondly, performing gap analysis on electromagnetic radiation data of a transmitting end and a receiving end by using a PCA algorithm to obtain gap data; then, the transmission loss is estimated according to the gap data, and the transmission efficiency is calculated; then, optimizing working parameters according to the transmission efficiency to obtain an optimization scheme; and finally, monitoring the safety in real time and carrying out early warning. According to the invention, the optimization of the transmission efficiency of the wireless charger is realized through data analysis, the charging efficiency and the safety are improved, and the method has important application value and market prospect.
Detailed Description
In order that the above-recited objects, features and advantages of the present application will be more clearly understood, a more particular description of the application will be rendered by reference to the appended drawings and appended detailed description. It should be noted that, without conflict, the embodiments of the present application and features in the embodiments may be combined with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those described herein, and therefore the scope of the present invention is not limited to the specific embodiments disclosed below.
Fig. 1 shows a flowchart of a wireless charger transmission efficiency optimization method based on data analysis.
As shown in fig. 1, a first aspect of the present invention provides a method for optimizing transmission efficiency of a wireless charger based on data analysis, including:
S102, acquiring electromagnetic radiation data of a transmitting end and electromagnetic radiation data of a receiving end of a wireless charger in a working process within a preset time period, wherein the electromagnetic radiation data comprise power, radiation frequency, radiation direction and radiation waveform of electromagnetic radiation;
s104, performing gap analysis on the electromagnetic radiation data of the transmitting end and the electromagnetic radiation data of the receiving end based on a PCA algorithm to obtain gap data;
s106, evaluating the electromagnetic radiation transmission loss of the wireless charger in the working process according to the gap data, and calculating the electromagnetic radiation transmission efficiency of the wireless charger according to the electromagnetic radiation transmission loss;
S108, performing self-adaptive optimization on working parameters of the wireless charger in the working process according to the electromagnetic radiation transmission efficiency to obtain a self-adaptive optimization scheme of the wireless charger;
s110, according to the self-adaptive optimization scheme, the safety of the wireless charger is monitored in real time, a safety monitoring result is obtained, and safety early warning is carried out according to the safety monitoring result.
It should be noted that, because the existing wireless chargers all work through fixed working parameters and cannot be charged according to the optimal charging power of the electronic equipment, by acquiring electromagnetic radiation data of the transmitting end and electromagnetic radiation data of the receiving end of the wireless chargers in the charging process, performing gap analysis, judging the electromagnetic radiation finally received by the receiving end after the transmitting end transmits the electromagnetic radiation, and calculating the transmission loss and transmission efficiency of the electromagnetic radiation; and finally, according to the transmission efficiency, the working parameters of the wireless charger in the working process are automatically adjusted, so that the wireless charger can adapt to more electronic equipment under the condition of ensuring the charging efficiency, and according to the electromagnetic radiation transmission efficiency data monitored in real time, the self-adaptive optimization scheme can adjust the working parameters of the wireless charger so as to improve the energy transmission efficiency to the greatest extent. By optimizing working parameters, the wireless charger can more effectively transmit energy to the receiving end, so that energy loss is reduced, and the energy utilization rate is improved; safety precaution is carried out after the working parameters are adjusted in a self-adaptive mode, and potential safety hazards caused by overhigh temperature of the wireless charger in the working process are avoided; the transmitting end is the wireless charger, and the receiving end is the charged electronic equipment.
According to the embodiment of the invention, the electromagnetic radiation data of the transmitting end and the electromagnetic radiation data of the receiving end of the wireless charger in the working process in the preset time period are obtained, wherein the electromagnetic radiation data comprise the power, the radiation frequency, the radiation direction and the radiation waveform of electromagnetic radiation, and specifically the electromagnetic radiation data comprise the following steps:
Acquiring power, radiation frequency, radiation direction and radiation waveform of electromagnetic radiation of an electromagnetic radiation transmitting end and an electromagnetic radiation receiving end of a wireless charger in a preset time period in the process of charging target equipment by using an electromagnetic radiation sensor, and obtaining electromagnetic radiation data of the transmitting end and electromagnetic radiation data of the receiving end;
performing alignment operation on the electromagnetic radiation data of the transmitting end and the electromagnetic radiation data of the receiving end according to a time sequence;
And performing data cleaning operation on the electromagnetic radiation data after the alignment operation, wherein the data cleaning operation comprises missing value processing, abnormal value detection and processing and data consistency checking.
According to the embodiment of the invention, the PCA algorithm is based on performing gap analysis on the electromagnetic radiation data of the transmitting end and the electromagnetic radiation data of the receiving end to obtain the gap data, specifically:
Introducing a PCA algorithm, and constructing a data matrix by using the electromagnetic radiation data of the transmitting end and the electromagnetic radiation data of the receiving end to obtain a data matrix of the transmitting end and a data matrix of the receiving end;
Carrying out standardization processing on the transmitting end data matrix and the receiving end data matrix, and calculating a covariance matrix of the standardized data matrix;
performing feature decomposition on the covariance matrix to obtain feature values and feature vectors corresponding to the feature values, performing feature importance assessment on the feature vectors according to the size of the feature values, performing sorting operation on the feature vectors according to the importance, and selecting the feature vectors with the previous K importance as main components;
Forming a projection matrix by taking the selected main components as column vectors, and multiplying the standardized transmitting end data matrix and the standardized receiving end data matrix by the projection matrix to obtain dimension-reduced transmitting end electromagnetic radiation data and dimension-reduced receiving end electromagnetic radiation data;
Calculating the characteristic value difference and the included angle of the characteristic vector of each electromagnetic radiation data in each transmitting end and each electromagnetic radiation data in the receiving end according to the electromagnetic radiation data of the dimension reduction transmitting end and the electromagnetic radiation data of the dimension reduction receiving end;
And evaluating the difference between the electromagnetic radiation data of the transmitting end and the electromagnetic radiation data of the receiving end according to the difference of the characteristic values and the included angle of the characteristic vectors to obtain difference data.
The main characteristics are extracted by performing dimension reduction processing on complex electromagnetic radiation data through a PCA algorithm, so that the radiation characteristic difference between a transmitting end and a receiving end is accurately identified; by evaluating the difference of the characteristic values and the included angle of the characteristic vectors, the difference between the transmitting end and the receiving end can be quantified, and the radiation transmission characteristics between the transmitting end and the receiving end can be known in depth; the difference data reflects the characteristic difference of electromagnetic radiation between the transmitting end and the receiving end, so that the transmission loss of the electromagnetic radiation can be well known, and the transmission efficiency of the electromagnetic radiation is finally evaluated; the K is the target dimension after dimension reduction; the data normalization is to subtract the average value of each feature from the average value of the feature so that the average value of the data is 0; the feature values represent variances of the data in the feature vector directions, the feature vectors represent projections of the data in the directions, the first K most important feature values and the corresponding feature vectors are selected as main components according to the sizes of the feature values, the first few main components with higher variance interpretation rate are generally selected so as to preserve most of information of the data, and the selected main component feature vectors are used as column vectors to construct a projection matrix. This projection matrix is used to project the original data into a new low-dimensional space.
Fig. 2 shows a flow chart of the invention for deriving electromagnetic radiation transmission efficiency impact data.
According to the embodiment of the invention, the electromagnetic radiation loss of the electromagnetic radiation transmission of the wireless charger in the charging process is evaluated according to the gap data, and the electromagnetic radiation transmission efficiency of the wireless charger is calculated according to the electromagnetic radiation loss, specifically:
S202, acquiring electromagnetic radiation data items which can influence the electromagnetic radiation transmission efficiency in the electromagnetic radiation data based on the internet technology, and extracting electromagnetic radiation data corresponding to the electromagnetic radiation data items according to the electromagnetic radiation data to obtain electromagnetic radiation transmission efficiency influence data;
s204, carrying out data standardization processing on the electromagnetic radiation transmission efficiency influence data based on a z-score standardization method so as to obtain standardized influence data with the same magnitude;
s206, calculating the information entropy of the standardized influence data based on an information entropy weight method, and determining the influence weight of each piece of electromagnetic radiation data on the electromagnetic radiation transmission efficiency according to the information entropy to obtain weight information;
S208, calculating the electromagnetic radiation transmission efficiency of the wireless charger according to the difference data and the weight information, and obtaining the electromagnetic radiation transmission efficiency change data of the wireless charger in a preset time period.
It should be noted that, the information entropy weight method can comprehensively consider the influence of a plurality of electromagnetic radiation data items on the transmission efficiency, not only consider the importance of single factors, but also consider the interrelation among the factors, by calculating the information entropy of each data item, the larger the information entropy is, the higher the uncertainty of the data is, namely the larger the influence of the data item on the transmission efficiency is, so that the influence degree of each electromagnetic radiation data item on the transmission efficiency can be quantified; the electromagnetic radiation data item is an electromagnetic radiation data item capable of influencing the electromagnetic radiation transmission efficiency, and if the power change of the electromagnetic radiation in the electromagnetic radiation data item can influence the electromagnetic radiation transmission efficiency, the power of the electromagnetic radiation is the electromagnetic radiation data item; the internet technology is to search data in the internet.
Fig. 3 shows a flow chart of the present invention for obtaining an adaptive optimization scheme for a wireless charger.
According to the embodiment of the invention, the working parameters of the wireless charger in the working process are adaptively optimized according to the electromagnetic radiation transmission efficiency, so as to obtain an adaptive optimization scheme of the wireless charger, which specifically comprises the following steps:
s302, drawing electromagnetic radiation transmission efficiency change data of the wireless charger within the preset time period into an efficiency change curve chart;
S304, converting the time domain signal of the efficiency change curve graph into a frequency domain signal based on a Fourier transform method, performing spectrum analysis on the frequency domain signal, and determining energy distribution conditions on different frequencies in the frequency domain signal;
S306, counting according to the energy distribution condition and the frequency domain signal peak value, determining the frequency component of the frequency domain signal, and determining the periodic variation characteristic of an efficiency variation curve chart according to the frequency component;
s308, constructing an electromagnetic radiation transmission efficiency change prediction model based on an LSTM algorithm, importing the periodic change characteristics into the prediction model for learning and training, identifying the change rule of the periodic change characteristics, and taking the change rule as a prediction basis of the prediction model;
S310, acquiring the current working time length and the current electromagnetic radiation transmission efficiency of the wireless charger, and guiding the current working time length and the current electromagnetic radiation transmission efficiency into a prediction model to predict the electromagnetic radiation transmission efficiency of a preset time period in the future to obtain a prediction result;
S312, obtaining an optimal electromagnetic radiation data receiving range of the receiving end equipment, calculating an electromagnetic radiation difference between the prediction result and the optimal electromagnetic radiation data receiving range of the receiving end equipment, formulating an adaptive optimization scheme of working parameters of the wireless charger in a preset time period in the future according to the electromagnetic radiation difference, and performing adaptive optimization on the working parameters of the wireless charger in the preset time period in the future according to the adaptive optimization scheme of the working parameters.
It should be noted that, in some application scenarios of the wireless charger, for example, in an airport or a library, the electronic application device needs to be charged in a fixed time period, different electronic application devices also need to be charged in a fixed time period, and in the process of charging the electronic device by the wireless charger, the wireless charger can reduce the charging efficiency due to the loss of electromagnetic radiation, so that the wireless charger can perform optimal benefit charging with the optimal radiation data receiving range of the electronic device at any time by analyzing the periodic variation characteristics of the electromagnetic radiation transmission efficiency variation data of the wireless charger in the preset time period, and construct an electromagnetic radiation transmission efficiency variation prediction model based on an LSTM algorithm, predict the electromagnetic radiation transmission efficiency of the wireless charger in the future preset time period, determine the direction and the numerical value of the wireless charger needed to be subjected to working parameter adjustment in the future preset time period in advance according to the optimal electromagnetic radiation data receiving range of the receiving terminal device, so as to increase the output power of the wireless charger, and avoid the fluctuation of the high precision device caused by the charging efficiency fluctuation in the charging process; the periodic variation characteristic comprises a periodic oscillation characteristic, a peak variation characteristic of a frequency spectrum signal and a trend variation characteristic of an efficiency variation curve graph; the frequency component refers to a component of the signal in the frequency domain, and describes the oscillation of the signal at different frequencies, i.e. oscillation modes or waveforms of different frequencies contained in the signal.
According to the embodiment of the invention, the self-adaptive optimization scheme monitors the safety of the wireless charger in real time to obtain a safety monitoring result, and performs safety early warning according to the safety monitoring result, specifically:
The wireless charger after the self-adaptive optimization scheme is implemented is monitored in real time, and real-time change data of electromagnetic radiation transmission efficiency are obtained;
calculating the electromagnetic radiation loss rate of the wireless charger according to the real-time change data, and obtaining the electromagnetic radiation loss rate;
Acquiring temperature distribution images of an electromagnetic radiation transmitting end and a receiving end of the wireless charger in the working process by an infrared temperature detector, analyzing according to the electromagnetic radiation loss rate and the temperature distribution images, and calculating conversion energy efficiency of the lost electromagnetic radiation into heat energy;
according to the conversion energy efficiency and the change of the temperature distribution image in the preset time period, the heat radiation performance of the transmitting end and the receiving end is evaluated;
Establishing a heat conduction model of a transmitting end and a receiving end, dividing the surfaces of the transmitting end and the receiving end, performing discretization operation on time steps, determining temperature boundary conditions of the transmitting end and the receiving end according to temperature distribution images and heat dissipation performance of the transmitting end and the receiving end, constructing a heat conduction equation set based on the temperature boundary conditions by a finite difference method, and simulating heat conduction of the transmitting end and the receiving end based on the heat conduction model and the heat conduction equation set to obtain a heat conduction simulation model;
Predicting the temperature distribution change of a transmitting end and a receiving end in real time according to the electromagnetic radiation loss rate and the heat conduction simulation model;
And monitoring the safety of the wireless charger in the working process according to the temperature distribution change to obtain a safety monitoring result, and carrying out safety early warning according to the safety monitoring result.
It should be noted that, because a significant part of the loss of electromagnetic radiation is converted into heat energy, in the process of adaptively adjusting the working parameters of the wireless charger, the working parameters need to be adjusted according to the loss rate of the electromagnetic radiation, when the same electronic device is charged, the electronic device needs to be stably kept in the optimal charging state of the electronic device, and the heating of the electronic device and the emission of the wireless charger also cause a certain degree of decrease in charging benefit, so that the power output of the wireless charger needs to be improved, more heat radiation loss causes more heat energy to be generated, potential safety hazards or damage to the electronic device are avoided, by establishing a heat conduction simulation model of the transmitting end and the receiving end, the temperature change of the wireless charger in the charging process is monitored in real time, and according to the safety monitoring result, the potential safety hazards possibly existing in the working process of the wireless charger, such as abnormal temperature rise of the transmitting end or the receiving end, abnormal increase of the loss rate of the electromagnetic radiation, and the like, can be found in time; the safety early warning can help operators to warn and take corresponding measures in time so as to avoid potential safety accidents, ensure the safety of equipment and users and avoid the resource consumption caused by long-time monitoring of the infrared temperature detector.
According to an embodiment of the present invention, further comprising:
Determining the temperature center positions of the temperature distribution images of the transmitting end and the receiving end, which are acquired by the infrared temperature detector, based on a machine vision technology, so as to obtain the center positions of electromagnetic induction coils of the transmitting end and the receiving end;
Presetting an interested analysis radius, and determining interested analysis ranges of a transmitting end and a receiving end according to the interested analysis radius and coil center positions of the transmitting end and the receiving end;
according to the interested analysis range, carrying out analysis region selection on the temperature distribution images of the transmitting end and the receiving end to obtain an analysis region of the temperature distribution images;
converting an analysis area of the extracted temperature distribution image into a gray level image based on an image processing technology, and calculating the temperature average value, standard deviation and variance of all pixels in the analysis area based on the gray level image;
evaluating the uniformity of the thermal distribution of the analysis area based on the temperature average, standard deviation and variance of all pixels in the analysis area;
analyzing the position coincidence degree of electromagnetic induction coils of a transmitting end and a receiving end of the wireless charger in the working process according to the heat distribution uniformity;
And carrying out the optimal charging position reminding operation of the equipment to be charged on the user according to the position overlapping degree.
It should be noted that, in the working process of the wireless charger, the charging efficiency and the transmission efficiency of electromagnetic radiation are also affected due to the placement position of the device to be charged in the wireless charger, and the heat distribution condition of the coil in the wire charger system can be judged through the uniformity of the temperature distribution of the wireless charger and the device to be charged. When the coils are maximally coincident, the heat distribution should be most uniform; therefore, the temperature distribution images of the transmitting end and the receiving end, which are acquired through the infrared temperature detector, are firstly used for determining the approximate position of the coil as the interested position to be analyzed, then the thermal distribution uniformity is evaluated at the position, then the superposition degree of the electromagnetic induction coils of the transmitting end and the receiving end is evaluated through the thermal distribution uniformity, if the distribution uniformity is smaller than a preset value, the superposition degree of the electromagnetic induction coils is considered to be lower, a user is reminded of adjusting the position of the equipment to be charged according to the position superposition degree of the electromagnetic induction coils, the maximum superposition position of the electromagnetic induction coils is used for charging, the charging efficiency of the equipment to be charged is improved, and the heating caused by the loss of electromagnetic radiation and the damage to the wireless charger and the equipment to be charged are avoided.
According to an embodiment of the present invention, further comprising:
Acquiring real-time working state data of a wireless charger in a target place for simultaneously charging a plurality of devices, wherein the real-time working state data comprises current power output of the wireless charger and the number and types of devices connected with the wireless charger;
Acquiring a real-time charging state of each device of the plurality of devices, wherein the real-time charging state comprises an electric quantity state and a charging rate;
calculating the power output load condition of the wireless charger according to the real-time working state data and the real-time charging state;
evaluating a charging requirement of each device according to each device type and state of charge of the plurality of devices;
Classifying the charging demands based on a clustering algorithm to obtain charging demand level data of each device;
And setting a charging priority for each device according to the charging demand level data, and performing charging operation according to the charging priority to obtain a charging priority scheme of the wireless charger, wherein the charging priority scheme comprises charging priority of the devices and charging power distribution of each device.
It should be noted that, because the wireless charger in the present invention can realize high power output, a plurality of devices can be charged simultaneously; in a target place, for example, in an airport, equipment such as a handheld security inspection instrument and an interphone are required to be charged simultaneously, because the emergency degree and the residual electric quantity of each equipment are different, the charging requirement of each equipment is different, the equipment which is being charged simultaneously is divided into charging requirement levels through a clustering algorithm, and the charging priority of the equipment is carried out on the equipment according to the charging requirement level of each equipment, so that the charging power output of different equipment is realized, the charging priority can be dynamically adjusted according to the factors such as the charging requirement condition of the equipment, the equipment type and the residual capacity of a battery, the equipment with large charging requirement is ensured to obtain charging preferentially, the condition of insufficient electric quantity under the condition of being required to be used can be avoided to the greatest extent, and the loss caused by slow charging of the equipment with high charging priority is avoided; the clustering algorithm is a K-means clustering algorithm.
Fig. 4 shows a block diagram of a wireless charger transmission efficiency optimization system based on data analysis according to the present invention.
The second aspect of the present invention also provides a wireless charger transmission efficiency optimization system 4 based on data analysis, the system comprising: the wireless charger transmission efficiency optimization method based on data analysis comprises a memory 41 and a processor 42, wherein the memory comprises a wireless charger transmission efficiency optimization method program based on data analysis, and when the wireless charger transmission efficiency optimization method program based on data analysis is executed by the processor, the following steps are realized:
Acquiring electromagnetic radiation data of a transmitting end and electromagnetic radiation data of a receiving end of the wireless charger in the working process within a preset time period, wherein the electromagnetic radiation data comprise power, radiation frequency, radiation direction and radiation waveform of electromagnetic radiation;
Performing gap analysis on the electromagnetic radiation data of the transmitting end and the electromagnetic radiation data of the receiving end based on a PCA algorithm to obtain gap data;
according to the gap data, the electromagnetic radiation transmission loss of the wireless charger in the working process is evaluated, and the electromagnetic radiation transmission efficiency of the wireless charger is calculated according to the electromagnetic radiation transmission loss;
according to the electromagnetic radiation transmission efficiency, the working parameters of the wireless charger in the working process are adaptively optimized, and an adaptive optimization scheme of the wireless charger is obtained;
And according to the self-adaptive optimization scheme, the safety of the wireless charger is monitored in real time to obtain a safety monitoring result, and safety early warning is carried out according to the safety monitoring result.
According to the embodiment of the invention, the electromagnetic radiation data of the transmitting end and the electromagnetic radiation data of the receiving end of the wireless charger in the working process in the preset time period are obtained, wherein the electromagnetic radiation data comprise the power, the radiation frequency, the radiation direction and the radiation waveform of electromagnetic radiation, and specifically the electromagnetic radiation data comprise the following steps:
Acquiring power, radiation frequency, radiation direction and radiation waveform of electromagnetic radiation of an electromagnetic radiation transmitting end and an electromagnetic radiation receiving end of a wireless charger in a preset time period in the process of charging target equipment by using an electromagnetic radiation sensor, and obtaining electromagnetic radiation data of the transmitting end and electromagnetic radiation data of the receiving end;
performing alignment operation on the electromagnetic radiation data of the transmitting end and the electromagnetic radiation data of the receiving end according to a time sequence;
And performing data cleaning operation on the electromagnetic radiation data after the alignment operation, wherein the data cleaning operation comprises missing value processing, abnormal value detection and processing and data consistency checking.
According to the embodiment of the invention, the PCA algorithm is based on performing gap analysis on the electromagnetic radiation data of the transmitting end and the electromagnetic radiation data of the receiving end to obtain the gap data, specifically:
Introducing a PCA algorithm, and constructing a data matrix by using the electromagnetic radiation data of the transmitting end and the electromagnetic radiation data of the receiving end to obtain a data matrix of the transmitting end and a data matrix of the receiving end;
Carrying out standardization processing on the transmitting end data matrix and the receiving end data matrix, and calculating a covariance matrix of the standardized data matrix;
performing feature decomposition on the covariance matrix to obtain feature values and feature vectors corresponding to the feature values, performing feature importance assessment on the feature vectors according to the size of the feature values, performing sorting operation on the feature vectors according to the importance, and selecting the feature vectors with the previous K importance as main components;
Forming a projection matrix by taking the selected main components as column vectors, and multiplying the standardized transmitting end data matrix and the standardized receiving end data matrix by the projection matrix to obtain dimension-reduced transmitting end electromagnetic radiation data and dimension-reduced receiving end electromagnetic radiation data;
Calculating the characteristic value difference and the included angle of the characteristic vector of each electromagnetic radiation data in each transmitting end and each electromagnetic radiation data in the receiving end according to the electromagnetic radiation data of the dimension reduction transmitting end and the electromagnetic radiation data of the dimension reduction receiving end;
And evaluating the difference between the electromagnetic radiation data of the transmitting end and the electromagnetic radiation data of the receiving end according to the difference of the characteristic values and the included angle of the characteristic vectors to obtain difference data.
According to the embodiment of the invention, the electromagnetic radiation loss of the electromagnetic radiation transmission of the wireless charger in the charging process is evaluated according to the gap data, and the electromagnetic radiation transmission efficiency of the wireless charger is calculated according to the electromagnetic radiation loss, specifically:
Acquiring electromagnetic radiation data items which can influence the electromagnetic radiation transmission efficiency in the electromagnetic radiation data based on the internet technology, and extracting electromagnetic radiation data corresponding to the electromagnetic radiation data items according to the electromagnetic radiation data to obtain electromagnetic radiation transmission efficiency influence data;
performing data standardization processing on the electromagnetic radiation transmission efficiency influence data based on a z-score standardization method to obtain standardized influence data with the same magnitude;
Calculating the information entropy of the standardized influence data based on an information entropy weight method, determining the influence weight of each electromagnetic radiation data on the electromagnetic radiation transmission efficiency according to the information entropy, and obtaining weight information;
And calculating the electromagnetic radiation transmission efficiency of the wireless charger according to the difference data and the weight information to obtain the electromagnetic radiation transmission efficiency change data of the wireless charger in a preset time period.
According to the embodiment of the invention, the working parameters of the wireless charger in the working process are adaptively optimized according to the electromagnetic radiation transmission efficiency, so as to obtain an adaptive optimization scheme of the wireless charger, which specifically comprises the following steps:
drawing electromagnetic radiation transmission efficiency change data of the wireless charger within the preset time period into an efficiency change curve chart;
converting the time domain signal of the efficiency change curve graph into a frequency domain signal based on a Fourier transform method, performing spectrum analysis on the frequency domain signal, and determining energy distribution conditions on different frequencies in the frequency domain signal;
Counting according to the energy distribution condition and the frequency domain signal peak value, determining the frequency component of the frequency domain signal, and determining the periodic variation characteristic of an efficiency variation curve chart according to the frequency component;
Constructing an electromagnetic radiation transmission efficiency change prediction model based on an LSTM algorithm, introducing the periodic change characteristics into the prediction model for learning and training, identifying the change rule of the periodic change characteristics, and taking the change rule as a prediction basis of the prediction model;
Acquiring the current working time length and the current electromagnetic radiation transmission efficiency of the wireless charger, and guiding the current working time length and the current electromagnetic radiation transmission efficiency into a prediction model to predict the electromagnetic radiation transmission efficiency of a preset time period in the future to obtain a prediction result;
And acquiring an optimal electromagnetic radiation data receiving range of the receiving end equipment, calculating an electromagnetic radiation difference between the prediction result and the optimal electromagnetic radiation data receiving range of the receiving end equipment, formulating an adaptive optimization scheme of working parameters of the wireless charger in a preset time period in the future according to the electromagnetic radiation difference, and performing adaptive optimization on the working parameters of the wireless charger in the preset time period in the future according to the adaptive optimization scheme of the working parameters.
According to the embodiment of the invention, the self-adaptive optimization scheme monitors the safety of the wireless charger in real time to obtain a safety monitoring result, and performs safety early warning according to the safety monitoring result, specifically:
The wireless charger after the self-adaptive optimization scheme is implemented is monitored in real time, and real-time change data of electromagnetic radiation transmission efficiency are obtained;
calculating the electromagnetic radiation loss rate of the wireless charger according to the real-time change data, and obtaining the electromagnetic radiation loss rate;
Acquiring temperature distribution images of an electromagnetic radiation transmitting end and a receiving end of the wireless charger in the working process by an infrared temperature detector, analyzing according to the electromagnetic radiation loss rate and the temperature distribution images, and calculating conversion energy efficiency of the lost electromagnetic radiation into heat energy;
according to the conversion energy efficiency and the change of the temperature distribution image in the preset time period, the heat radiation performance of the transmitting end and the receiving end is evaluated;
Establishing a heat conduction model of a transmitting end and a receiving end, dividing the surfaces of the transmitting end and the receiving end, performing discretization operation on time steps, determining temperature boundary conditions of the transmitting end and the receiving end according to temperature distribution images and heat dissipation performance of the transmitting end and the receiving end, constructing a heat conduction equation set based on the temperature boundary conditions by a finite difference method, and simulating heat conduction of the transmitting end and the receiving end based on the heat conduction model and the heat conduction equation set to obtain a heat conduction simulation model;
Predicting the temperature distribution change of a transmitting end and a receiving end in real time according to the electromagnetic radiation loss rate and the heat conduction simulation model;
And monitoring the safety of the wireless charger in the working process according to the temperature distribution change to obtain a safety monitoring result, and carrying out safety early warning according to the safety monitoring result.
The invention discloses a wireless charger transmission efficiency optimization method and system based on data analysis, which are used for improving the transmission efficiency and safety of a wireless charger. Firstly, acquiring electromagnetic radiation data of a transmitting end and a receiving end of a wireless charger in a preset time period; secondly, performing gap analysis on electromagnetic radiation data of a transmitting end and a receiving end by using a PCA algorithm to obtain gap data; then, the transmission loss is estimated according to the gap data, and the transmission efficiency is calculated; then, optimizing working parameters according to the transmission efficiency to obtain an optimization scheme; and finally, monitoring the safety in real time and carrying out early warning. According to the invention, the optimization of the transmission efficiency of the wireless charger is realized through data analysis, the charging efficiency and the safety are improved, and the method has important application value and market prospect.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present invention may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a computer readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or optical disk, or the like, which can store program codes.
Or the above-described integrated units of the invention may be stored in a computer-readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solutions of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.