Microwave oven energy efficiency test method and system

Abstract

The invention discloses a microwave oven energy efficiency test method and system, and the method comprises the steps: obtaining the working data and state data of a microwave oven, calculating the current power through a current signal, determining the display power through monitoring data, carrying out the data fusion of the current power and the display power, and calculating the first microwave oven efficiency and the first barbecue energy consumption. Constructing a state influence factor according to the state data, determining second microwave oven efficiency and second barbecue energy consumption according to the state influence factor, the first microwave oven efficiency and the first barbecue energy consumption, and constructing a microwave oven energy efficiency test model, and inputting the working data and the state data of the microwave oven to be tested into the microwave oven energy efficiency test model to obtain the energy efficiency index and the energy efficiency grade of the microwave oven. The method not only can improve the precision and efficiency of the microwave oven energy efficiency test, but also has good interpretability, and can be directly applied to a microwave oven energy efficiency test system.

Description

Technical Field

[0001] The present invention relates to the field of energy efficiency measurement, and in particular to a microwave oven energy efficiency testing method and system. Background Art

[0002] As a common kitchen appliance in modern life, the energy efficiency of microwave ovens is not only related to consumers' usage costs, but also has important significance for energy conservation and environmental protection. With the advancement of science and technology and the improvement of consumers' requirements for product quality, quality inspection agencies have also put forward higher requirements for the testing methods of microwave oven energy efficiency.

[0003] Traditional microwave oven energy efficiency testing relies on manual operation, which is not only inefficient, time-consuming and labor-intensive, but also difficult to meet the rapid detection requirements during large-scale production. In addition, the difference between the laboratory environment and the actual use scenario of the microwave oven, the user's usage habits, and the voltage fluctuation of the power grid will interfere with its energy efficiency. Only considering the rated working conditions cannot comprehensively and dynamically evaluate the real energy efficiency performance of the product. The development of sensor technology has laid the foundation for real-time and accurate collection of microwave oven working data. At the same time, the rise of big data analysis and artificial intelligence algorithms can deeply explore the laws contained in massive data, efficiently process complex and changeable data relationships, and achieve accurate modeling and efficient prediction. Combining dynamic data collection and machine learning technology, with the help of data fusion and consideration of state influencing factors, fully consider the energy efficiency changes under various working conditions to build a scientific and reasonable energy efficiency test model, and design an accurate and efficient microwave oven energy efficiency test method and system to overcome the shortcomings of traditional microwave oven energy efficiency evaluation methods and systems. It can provide technical support for spot checks on the production line of microwave ovens, new product development testing, and after-sales product energy efficiency tracking, which is of great significance to manufacturers' energy-saving research and development, consumers' rational purchase, and regulatory authorities' efficient supervision. Summary of the invention

[0004] The purpose of the present invention is to provide a method and system for testing the energy efficiency of a microwave oven.

[0005] To achieve the above object, the present invention is implemented according to the following technical solutions:

[0006] The present invention comprises the following steps:

[0007] Acquire working data and status data of the microwave oven, and pre-process the working data and the status data; the working data includes monitoring data and current signals;

[0008] Calculating the current power from the current signal, determining the display power from the monitoring data, and fusing the current power and the display power to obtain the first input power, the first grilling power, the standby power, and the shutdown power;

[0009] Calculating the first microwave oven efficiency and the first grilling energy consumption in combination with the monitoring data, constructing a state influencing factor according to the state data, and determining the second microwave oven efficiency and the second grilling energy consumption according to the state influencing factor, the first microwave oven efficiency and the first grilling energy consumption;

[0010] A microwave oven energy efficiency test model is constructed according to the second microwave oven efficiency, the second grilling energy consumption and the state influencing factor, and the working data and state data of the microwave oven to be tested are input into the microwave oven energy efficiency test model to obtain the microwave oven energy efficiency index and energy efficiency grade.

[0011] Furthermore, the method for calculating the current power from the current signal includes:

[0012] The corresponding current signal is obtained by conducting the measurement experiment of different microwave oven energy efficiency indicators. The current signal is modally decomposed and Hilbert transformed to obtain the complex analytical signal. The instantaneous amplitude and instantaneous phase are calculated according to the complex analytical signal. The complex analytical signal expression of the current is:

[0013]

[0014] Where I(t) is the complex analytical signal of the current, c i (t) is the component corresponding to the ith IMF, K is the number of IMFs, R(t) is the residual signal, j is the imaginary unit, P is the Cauchy principal value of the Hilbert transform, τ is the integral variable, and t is the time parameter;

[0015] The higher-order statistics are introduced to calculate the instantaneous amplitude and instantaneous phase of the complex analytical signal. The expression is:

[0016]

[0017] Where a(t) is the adjusted instantaneous amplitude, θ(t) is the adjusted instantaneous phase, α1, α2, α3 are adjustment coefficients, μ3 is the third-order center distance, μ4 is the fourth-order center distance, and σ is the signal standard deviation;

[0018] The instantaneous current power of the microwave oven under different operating conditions is calculated according to the instantaneous amplitude, and the operating time of different powers is determined according to the change of the current signal.

[0019] Furthermore, the method for performing data fusion on the current power and the display power includes:

[0020] Use a power meter to measure the power of different microwave oven operating states to obtain instantaneous display power, and determine the operating time of different powers based on the power changes on the display;

[0021] Kalman filtering is performed on the instantaneous current power and the instantaneous display power respectively, and the filtered instantaneous current power and the instantaneous display power are weightedly fused. The specific steps are as follows:

[0022] Define the power state vector as X = [q,v n ,p n ,b g ,b a ] T , q is the attitude quaternion, v n 、p n is the 3D state position of the original signal, b g is the incremental deviation of the original signal, b a is the acceleration deviation of the original signal; the mean square error matrix of power state estimation is defined as X t is the power state vector at time step t, is the power state estimation vector at time step t, and the power covariance matrix and power state matrix are updated. The expression is:

[0023]

[0024] Where K t is the power covariance matrix at time step t, is the updated power state matrix at time step t, is the information matrix of the power mean square error before time step t, H t is the noise distance measurement matrix at time step t, R t is the noise matrix at time step t, The power state matrix before time step t, Z t is the power observation vector at time step t, h t (·) is the observation function;

[0025] Calculate the information loss coefficient and modify the noise equation information matrix according to the information loss coefficient The expression is:

[0026]

[0027] where β i is the correction coefficient of the i-th row of the noise equation information matrix, is the i-th normalized information at time step t, B t is the bias term, δ is the correction coefficient threshold, Q t is the noise covariance matrix;

[0028] According to the modified noise equation information matrix The actual values ​​of the instantaneous current power and the instantaneous displayed power are determined, and the instantaneous power of the microwave oven is obtained by fusing the instantaneous current power and the instantaneous displayed power using a weighted average method. The first input power, the first grilling power, the standby power and the shutdown power are determined by the time series and the instantaneous power value.

[0029] Furthermore, the method for calculating the efficiency of the first microwave oven and the energy consumption of the first grilling in combination with the monitoring data includes:

[0030] The output energy is calculated based on the measured data, and the efficiency of the first microwave oven is calculated based on the output energy and the input energy. The expression is:

[0031]

[0032] Where η1 is the first microwave efficiency, the numerator is the output energy considering the evaporation of water vapor, the denominator is the input energy, c w is the specific heat capacity of water, c r is the specific heat capacity of the container, m w is the final mass of water in the container, Δm w is the mass of evaporated water, m r is the mass of the container, T2 is the final water temperature, T1 is the initial water temperature, T0 is the ambient temperature, P s1 is the first input power when the microwave oven is started, P1 is the maximum first input power of the microwave oven, and t1 is the operating time after the microwave oven reaches the maximum first input power and stabilizes;

[0033] The energy consumption of the first grilling is calculated based on the measured data, and the expression is:

[0034]

[0035] Where W BBQ1 is the first grilling energy consumption, P s2 is the first grilling power when the microwave oven is started, P2 is the maximum first grilling power of the microwave oven, and t2 is the running time after the microwave oven reaches the maximum first grilling power and stabilizes.

[0036] Furthermore, the method for determining the second microwave oven efficiency and the second grilling energy consumption includes:

[0037] Input the state data into the state influence function to obtain the state influence factor, the expression is:

[0038]

[0039] Where State is the state influence factor, w1, w2, w3 are the state influence factor weights, t i =(t1,t2),t uis the time it takes for the microwave oven to reach the maximum operating power of the corresponding state from startup, N is the ambient noise, and R is the radiation inside the microwave oven;

[0040] The first microwave oven efficiency and the first grilling energy consumption are corrected according to the state influencing factor to obtain the second microwave oven efficiency and the second grilling energy consumption.

[0041] Furthermore, the method for determining the energy efficiency level of the microwave oven comprises:

[0042] The first microwave oven efficiency, the first grilling energy consumption, the second microwave oven efficiency, the second grilling energy consumption, the standby power, the shutdown power, the standby power and the shutdown power form a microwave oven energy efficiency data set, and the microwave oven energy efficiency data set is divided into a training set and a test set;

[0043] Construct a microwave oven energy efficiency test model, which includes a decision tree and a double-layer GA-BP neural network;

[0044] The decision tree is used to classify microwave oven efficiency and grilling energy consumption data, and the classified data is input into a two-layer GA-BP neural network, using information gain as the classification criterion and pruning technology to optimize the model;

[0045] The double-layer GA-BP neural network is used to learn the dependency relationship between data. It has two parallel layers. One layer inputs the first microwave oven efficiency, the second microwave oven efficiency, and the state influencing factor. The other layer inputs the first grilling energy consumption, the second grilling energy consumption, and the state influencing factor. The final microwave oven efficiency and the final grilling energy consumption are output.

[0046] The output layer is used to extract the final microwave oven efficiency, final grilling energy consumption, standby power, and shutdown power, and determine the microwave oven energy efficiency level according to the threshold judgment method, and output the microwave oven efficiency, grilling energy consumption, standby power, shutdown power, and microwave oven energy efficiency level;

[0047] The mean absolute error loss function was used to determine the relationship between the predicted value and the actual value, the RMSprop optimizer was used to adjust the learning rate of the two-layer GA-BP neural network, and the test set was used to evaluate the model and adjust the model parameters;

[0048] The working data and status data of the microwave oven to be tested are input into the microwave oven energy efficiency test model to obtain the microwave oven energy efficiency index and energy efficiency grade.

[0049] In a second aspect, a microwave oven energy efficiency testing system comprises:

[0050] Data acquisition module: including anti-interference platinum resistor, PLC controller, timer, power meter, ammeter, electronic scale and electromagnetic radiation meter; used for the working data and status data of the microwave oven, and pre-processing the working data and the status data;

[0051] Data processing module: used for calculating current power, for performing data fusion on the current power and the displayed power, for calculating the efficiency of the first microwave oven and the first grilling energy consumption, for constructing a state influencing factor, and for determining the efficiency of the second microwave oven and the second grilling energy consumption;

[0052] Model prediction module: used for constructing a microwave oven energy efficiency test model according to the second microwave oven efficiency, the second grilling energy consumption and the state influencing factor, and inputting the working data and state data of the microwave oven to be tested into the microwave oven energy efficiency test model to obtain the microwave oven energy efficiency index and energy efficiency grade;

[0053] Supervision module: used for storing, viewing and managing the working data, the status data, the microwave oven energy efficiency index and energy efficiency grade.

[0054] The beneficial effects of the present invention are:

[0055] The present invention is a method and system for testing the energy efficiency of a microwave oven. Compared with the prior art, the present invention has the following technical effects:

[0056] The present invention can improve the accuracy of microwave oven energy efficiency testing through modal decomposition, data fusion, construction of state influencing factors, data correction, and model construction steps, thereby improving the efficiency and precision of microwave oven energy efficiency testing. The microwave oven energy efficiency testing is made intelligent, which can greatly save resources and improve the efficiency of energy efficiency testing. High-precision energy efficiency testing of microwave ovens to be tested can be achieved, and high-precision energy efficiency testing of microwave ovens to be tested can be quickly performed, providing a scientific basis for design optimization and energy efficiency improvement of microwave ovens, which is of great significance for reducing energy consumption and reducing carbon emissions, and can adapt to different microwave oven energy efficiency testing systems and microwave oven energy efficiency testing needs of different users, and has a certain degree of universality. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 The present invention is a flowchart of the steps of a method for testing the energy efficiency of a microwave oven. DETAILED DESCRIPTION

[0058] The present invention is further described below by means of specific embodiments. The illustrative embodiments and descriptions of the present invention are used to explain the present invention but are not intended to limit the present invention.

[0059] A microwave oven energy efficiency testing method and system of the present invention comprises the following steps:

[0060] like Figure 1 As shown, in this embodiment, the following steps are included:

[0061] Acquire working data and status data of the microwave oven, and pre-process the working data and the status data; the working data includes monitoring data and current signals;

[0062] Calculating the current power from the current signal, determining the display power from the monitoring data, and fusing the current power and the display power to obtain the first input power, the first grilling power, the standby power, and the shutdown power;

[0063] Calculating the first microwave oven efficiency and the first grilling energy consumption in combination with the monitoring data, constructing a state influencing factor according to the state data, and determining the second microwave oven efficiency and the second grilling energy consumption according to the state influencing factor, the first microwave oven efficiency and the first grilling energy consumption;

[0064] A microwave oven energy efficiency test model is constructed according to the second microwave oven efficiency, the second grilling energy consumption and the state influencing factor, and the working data and state data of the microwave oven to be tested are input into the microwave oven energy efficiency test model to obtain the microwave oven energy efficiency index and energy efficiency grade.

[0065] In this embodiment, the method for calculating the current power from the current signal includes:

[0066] The corresponding current signal is obtained by conducting the measurement experiment of different microwave oven energy efficiency indicators. The current signal is modally decomposed and Hilbert transformed to obtain the complex analytical signal. The instantaneous amplitude and instantaneous phase are calculated according to the complex analytical signal. The complex analytical signal expression of the current is:

[0067]

[0068] Where I(t) is the complex analytical signal of the current, c i (t) is the component corresponding to the ith IMF, K is the number of IMFs, R(t) is the residual signal, j is the imaginary unit, P is the Cauchy principal value of the Hilbert transform, τ is the integral variable, and t is the time parameter;

[0069] The higher-order statistics are introduced to calculate the instantaneous amplitude and instantaneous phase of the complex analytical signal. The expression is:

[0070]

[0071]

[0072] Where a(t) is the adjusted instantaneous amplitude, θ(t) is the adjusted instantaneous phase, α1, α2, α3 are adjustment coefficients, μ3 is the third-order center distance, μ4 is the fourth-order center distance, and σ is the signal standard deviation;

[0073] The instantaneous current power of the microwave oven under different operating conditions is calculated according to the instantaneous amplitude, and the operating time of different powers is determined according to the change of the current signal;

[0074] In the actual evaluation, the microwave oven to be tested is placed on a horizontal surface of plywood with a thickness of about 20mm and coated with matte black paint. The microwave oven does not work before the test begins. The microwave oven and the glass container are placed at ambient temperature for at least 6 hours before the test. A cylindrical borosilicate glass container with a wall thickness of 3mm, an outer diameter of about 190mm, a height of about 90m, and a maximum mass of 450g is selected. 1000g of water is added to the container, and current data are collected from the initial temperature heated to 20℃, the grill function running for 5min, the shutdown power, and the standby power. The maximum operating power of 1100W is obtained through modal decomposition and transformation of the current data. When a certain brand of microwave oven is measured for four energy efficiency indicators, the instantaneous current power in a certain period of time is: maximum power operation 1059W, grill power 600W, shutdown power 0.1W, networked standby power 1.2W; the maximum power operation time is 62.5s, and the grill function heating time is 300s.

[0075] In this embodiment, the method for performing data fusion on the current power and the display power includes:

[0076] Use a power meter to measure the power of different microwave oven operating states to obtain instantaneous display power, and determine the operating time of different powers based on the power changes on the display;

[0077] Kalman filtering is performed on the instantaneous current power and the instantaneous display power respectively, and the filtered instantaneous current power and the instantaneous display power are weightedly fused. The specific steps are as follows:

[0078] Define the power state vector as X = [q,v n ,p n ,b g ,b a ] T , q is the attitude quaternion, v n 、p n is the 3D state position of the original signal, b g is the incremental deviation of the original signal, b a is the acceleration deviation of the original signal; the mean square error matrix of power state estimation is defined as X t is the power state vector at time step t, is the power state estimation vector at time step t, and the power covariance matrix and power state matrix are updated. The expression is:

[0079]

[0080] Where K tis the power covariance matrix at time step t, is the updated power state matrix at time step t, is the information matrix of the power mean square error before time step t, H t is the noise distance measurement matrix at time step t, R t is the noise matrix at time step t, The power state matrix before time step t, Z t is the power observation vector at time step t, h t (·) is the observation function;

[0081] Calculate the information loss coefficient and modify the noise equation information matrix according to the information loss coefficient The expression is:

[0082]

[0083] where β i is the correction coefficient of the i-th row of the noise equation information matrix, is the i-th normalized information at time step t, B t is the bias term, δ is the correction coefficient threshold, Q t is the noise covariance matrix;

[0084] According to the modified noise equation information matrix Determine the actual values ​​of the instantaneous current power and the instantaneous display power, use the weighted average method to fuse the instantaneous current power and the instantaneous display power to obtain the instantaneous power of the microwave oven, and determine the first input power, the first grilling power, the standby power and the shutdown power through the time series and the instantaneous power value;

[0085] In the actual evaluation, the maximum operating power of a certain brand of microwave oven is 1100W. When measuring four energy efficiency indicators, the power displayed in a certain period of time is: maximum power operation 1089W, grill power 612W, shutdown power 0.09W, network standby power 1.1W; the maximum power operation time is 61.9s, and the grill function heating time is 300s;

[0086] The above algorithm is used for data fusion to obtain a certain brand of microwave oven with a maximum operating power of 1100W. When measuring four energy efficiency indicators in a certain period of time, the displayed power is: maximum power operation 1075W, grill power 608W, shutdown power 0.1W, networked standby power 1.2W; the maximum power operation time is 62.2s, and the grill function heating time is 300s.

[0087] In this embodiment, the method for calculating the first microwave oven efficiency and the first grilling energy consumption in combination with monitoring data includes:

[0088] The output energy is calculated based on the measured data, and the efficiency of the first microwave oven is calculated based on the output energy and the input energy. The expression is:

[0089]

[0090] Where η1 is the first microwave oven efficiency, the numerator is the output energy considering water vapor evaporation, the denominator is the input energy, c w is the specific heat capacity of water, c r is the specific heat capacity of the container, m w is the final mass of water in the container, Δm w is the mass of evaporated water, m r is the mass of the container, T2 is the final water temperature, T1 is the initial water temperature, T0 is the ambient temperature, P s1 is the first input power when the microwave oven is started, P1 is the maximum first input power of the microwave oven, and t1 is the operating time after the microwave oven reaches the maximum first input power and stabilizes;

[0091] The energy consumption of the first grilling is calculated based on the measured data, and the expression is:

[0092]

[0093] Where W BBQ1 is the first grilling energy consumption, P s2 is the first grilling power when the microwave oven is started, P2 is the maximum first grilling power of the microwave oven, and t2 is the running time after the microwave oven reaches the maximum first grilling power and stabilizes;

[0094] In the actual evaluation, in the microwave oven efficiency test: the starting power is 600w, the power increase speed is 0.5s, c w =4.187J / (kg·K), Δm w =5g,c r =0.55J / (kg·K), T0=24.6℃, T1=10.2℃, T2=20.4℃; in the microwave oven grilling energy consumption test: the starting power is 100w, the power increase speed is 30s, T1=10.1℃, T2=58.3℃, according to the measured data, η1=64.43%, W BBQ =1.112W·h.

[0095] In this embodiment, the method for determining the second microwave oven efficiency and the second grilling energy consumption includes:

[0096] Input the state data into the state influence function to obtain the state influence factor, the expression is:

[0097]

[0098] Where State is the state influence factor, w1, w2, w3 are the state influence factor weights, t i =(t1,t2),t u is the time it takes for the microwave oven to reach the maximum operating power of the corresponding state from startup, N is the ambient noise, and R is the radiation inside the microwave oven;

[0099] Correcting the first microwave oven efficiency and the first grilling energy consumption according to the state influencing factor to obtain the second microwave oven efficiency and the second grilling energy consumption;

[0100] In the actual evaluation, w1, w2, and w3 are taken as 0.9, 1, and 0.75 respectively in the microwave oven efficiency measurement, the ambient noise is 30dB, and the internal radiation is 1.2W / m 2 In the barbecue energy consumption measurement, w1, w2, and w3 are 0.85, 1, and 0.75 respectively, the ambient noise is 40dB, and the internal radiation is 1W / m 2 The state influence factors of microwave oven efficiency and grilling energy consumption were calculated to be 0.9623 and 1.0318 respectively. The second microwave oven efficiency and the second grilling energy consumption were corrected according to the state influence factors to be 62.00% and 1.147W·h respectively.

[0101] In this embodiment, determining the energy efficiency level of the microwave oven includes:

[0102] The first microwave oven efficiency, the first grilling energy consumption, the second microwave oven efficiency, the second grilling energy consumption, the standby power, the shutdown power, the standby power and the shutdown power form a microwave oven energy efficiency data set, and the microwave oven energy efficiency data set is divided into a training set and a test set;

[0103] Construct a microwave oven energy efficiency test model, which includes a decision tree and a double-layer GA-BP neural network;

[0104] The decision tree is used to classify microwave oven efficiency and grilling energy consumption data, and the classified data is input into a two-layer GA-BP neural network, using information gain as the classification criterion and pruning technology to optimize the model;

[0105] The double-layer GA-BP neural network is used to learn the dependency relationship between data. It has two parallel layers. One layer inputs the first microwave oven efficiency, the second microwave oven efficiency, and the state influencing factor. The other layer inputs the first grilling energy consumption, the second grilling energy consumption, and the state influencing factor. The final microwave oven efficiency and the final grilling energy consumption are output.

[0106] The output layer is used to extract the final microwave oven efficiency, final grilling energy consumption, standby power, and shutdown power, and determine the microwave oven energy efficiency level according to the threshold judgment method, and output the microwave oven efficiency, grilling energy consumption, standby power, shutdown power, and microwave oven energy efficiency level;

[0107] The mean absolute error loss function was used to determine the relationship between the predicted value and the actual value, the RMSprop optimizer was used to adjust the learning rate of the two-layer GA-BP neural network, and the test set was used to evaluate the model and adjust the model parameters;

[0108] The working data and status data of the microwave oven to be tested are input into the microwave oven energy efficiency test model to obtain the microwave oven energy efficiency index and energy efficiency grade.

[0109] In the actual evaluation, multiple groups of working data and status data of the microwave ovens to be tested are used to train and test the microwave oven energy efficiency test model. The working data and status data of the microwave ovens to be tested are input into the microwave oven energy efficiency test model, and the microwave oven energy efficiency indicators obtained are microwave oven efficiency 62.00%>60%, grilling energy consumption 1.147W·h<1.2W·h, shutdown power 0.1W<0.5W, networked standby power 1.2W<5W. The energy efficiency level of this brand of microwave ovens is Level 1.

[0110] In a second aspect, a microwave oven energy efficiency testing system comprises:

[0111] Data acquisition module: including anti-interference platinum resistor, PLC controller, timer, power meter, ammeter, electronic scale and electromagnetic radiation meter; used for the working data and status data of the microwave oven, and pre-processing the working data and the status data;

[0112] Data processing module: used for calculating current power, for performing data fusion on the current power and the displayed power, for calculating the efficiency of the first microwave oven and the first grilling energy consumption, for constructing a state influencing factor, and for determining the efficiency of the second microwave oven and the second grilling energy consumption;

[0113] Model prediction module: used for constructing a microwave oven energy efficiency test model according to the second microwave oven efficiency, the second grilling energy consumption and the state influencing factor, and inputting the working data and state data of the microwave oven to be tested into the microwave oven energy efficiency test model to obtain the microwave oven energy efficiency index and energy efficiency grade;

[0114] Supervision module: used for storing, viewing and managing the working data, the status data, the microwave oven energy efficiency index and energy efficiency grade.

[0115] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for testing the energy efficiency of a microwave oven, characterized in that: The following steps are involved: S1, obtaining working data and status data of the microwave oven, and preprocessing the working data and the status data; the working data includes monitoring data and current signals; S2, calculating the current power from the current signal, determining the display power from the monitoring data, and fusing the current power and the display power to obtain a first input power, a first grilling power, a standby power, and a shutdown power; S3, calculating the first microwave oven efficiency and the first grilling energy consumption in combination with the monitoring data, constructing a state influencing factor according to the state data, and determining the second microwave oven efficiency and the second grilling energy consumption according to the state influencing factor, the first microwave oven efficiency and the first grilling energy consumption; S4. Construct a microwave oven energy efficiency test model according to the efficiency of the second microwave oven, the second grilling energy consumption and the state influencing factor, and input the working data and state data of the microwave oven to be tested into the microwave oven energy efficiency test model to obtain the microwave oven energy efficiency index and energy efficiency grade.

2. A microwave oven energy efficiency testing method according to claim 1, characterized in that: The method for calculating the current power from the current signal comprises: The corresponding current signal is obtained by conducting the measurement experiment of different microwave oven energy efficiency indicators. The current signal is modally decomposed and Hilbert transformed to obtain the complex analytical signal. The instantaneous amplitude and instantaneous phase are calculated according to the complex analytical signal. The complex analytical signal expression of the current is: Where I(t) is the complex analytical signal of the current, c i (t) is the component corresponding to the ith IMF, K is the number of IMFs, R(t) is the residual signal, j is the imaginary unit, P is the Cauchy principal value of the Hilbert transform, τ is the integral variable, and t is the time parameter; The higher-order statistics are introduced to calculate the instantaneous amplitude and instantaneous phase of the complex analytical signal. The expression is: Where a(t) is the adjusted instantaneous amplitude, θ(t) is the adjusted instantaneous phase, α1, α2, α3 are adjustment coefficients, μ3 is the third-order center distance, μ4 is the fourth-order center distance, and σ is the signal standard deviation; The instantaneous current power of the microwave oven under different operating conditions is calculated according to the instantaneous amplitude, and the operating time of different powers is determined according to the change of the current signal.

3. A microwave oven energy efficiency testing method according to claim 1, characterized in that: The method for performing data fusion on the current power and the display power comprises: Use a power meter to measure the power of different microwave oven operating states to obtain instantaneous display power, and determine the operating time of different powers based on the power changes on the display; Kalman filtering is performed on the instantaneous current power and the instantaneous display power respectively, and the filtered instantaneous current power and the instantaneous display power are weightedly fused. The specific steps are as follows: Define the power state vector as X = [q,v n ,p n ,b g ,b a ] T , q is the attitude quaternion, v n 、p n is the 3D state position of the original signal, b g is the incremental deviation of the original signal, b a is the acceleration deviation of the original signal; the mean square error matrix of power state estimation is defined as X t is the power state vector at time step t, is the power state estimation vector at time step t, and the power covariance matrix and power state matrix are updated. The expression is: Where K t is the power covariance matrix at time step t, is the updated power state matrix at time step t, is the information matrix of the power mean square error before time step t, H t is the noise distance measurement matrix at time step t, R t is the noise matrix at time step t, The power state matrix before time step t, Z t is the power observation vector at time step t, h t (·) is the observation function; Calculate the information loss coefficient and modify the noise equation information matrix according to the information loss coefficient The expression is: where β i is the correction coefficient of the i-th row of the noise equation information matrix, is the i-th normalized information at time step t, B t is the bias term, δ is the correction coefficient threshold, Q t is the noise covariance matrix; According to the modified noise equation information matrix The actual values ​​of the instantaneous current power and the instantaneous displayed power are determined, and the instantaneous power of the microwave oven is obtained by fusing the instantaneous current power and the instantaneous displayed power using a weighted average method. The first input power, the first grilling power, the standby power and the shutdown power are determined by the time series and the instantaneous power value.

4. A microwave oven energy efficiency testing method according to claim 1, characterized in that: The method for calculating the efficiency of the first microwave oven and the energy consumption of the first grilling by combining the monitoring data comprises: The output energy is calculated based on the measured data, and the efficiency of the first microwave oven is calculated based on the output energy and the input energy. The expression is: Where η1 is the first microwave efficiency, the numerator is the output energy considering the evaporation of water vapor, the denominator is the input energy, c w is the specific heat capacity of water, c r is the specific heat capacity of the container, m w is the final mass of water in the container, Δm w is the mass of evaporated water, m r is the mass of the container, T2 is the final water temperature, T1 is the initial water temperature, T0 is the ambient temperature, P s1 is the first input power when the microwave oven is started, P1 is the maximum first input power of the microwave oven, and t1 is the operating time after the microwave oven reaches the maximum first input power and stabilizes; The energy consumption of the first grilling is calculated based on the measured data, and the expression is: Where W BBQ1 is the first grilling energy consumption, P s2 is the first grilling power when the microwave oven is started, P2 is the maximum first grilling power of the microwave oven, and t2 is the running time after the microwave oven reaches the maximum first grilling power and stabilizes.

5. A microwave oven energy efficiency testing method according to claim 1, characterized in that: The method for determining the second microwave oven efficiency and the second grilling energy consumption comprises: Input the state data into the state influence function to obtain the state influence factor, the expression is: Where State is the state influence factor, w1, w2, w3 are the state influence factor weights, t i =(t1,t2),t u is the time it takes for the microwave oven to reach the maximum operating power of the corresponding state from startup, N is the ambient noise, and R is the radiation inside the microwave oven; The first microwave oven efficiency and the first grilling energy consumption are corrected according to the state influencing factor to obtain the second microwave oven efficiency and the second grilling energy consumption.

6. A microwave oven energy efficiency testing method according to claim 1, characterized in that: The method for determining the energy efficiency grade of the microwave oven comprises: The first microwave oven efficiency, the first grilling energy consumption, the second microwave oven efficiency, the second grilling energy consumption, the standby power, the shutdown power, the standby power and the shutdown power form a microwave oven energy efficiency data set, and the microwave oven energy efficiency data set is divided into a training set and a test set; Construct a microwave oven energy efficiency test model, which includes a decision tree and a double-layer GA-BP neural network; The decision tree is used to classify microwave oven efficiency and grilling energy consumption data, and the classified data is input into a two-layer GA-BP neural network, using information gain as the classification criterion and pruning technology to optimize the model; The double-layer GA-BP neural network is used to learn the dependency relationship between data. It has two parallel layers. One layer inputs the first microwave oven efficiency, the second microwave oven efficiency, and the state influencing factor. The other layer inputs the first grilling energy consumption, the second grilling energy consumption, and the state influencing factor. The final microwave oven efficiency and the final grilling energy consumption are output. The output layer is used to extract the final microwave oven efficiency, final grilling energy consumption, standby power, and shutdown power, and determine the microwave oven energy efficiency level according to the threshold judgment method, and output the microwave oven efficiency, grilling energy consumption, standby power, shutdown power, and microwave oven energy efficiency level; The mean absolute error loss function was used to determine the relationship between the predicted value and the actual value, the RMSprop optimizer was used to adjust the learning rate of the two-layer GA-BP neural network, and the test set was used to evaluate the model and adjust the model parameters; The working data and status data of the microwave oven to be tested are input into the microwave oven energy efficiency test model to obtain the microwave oven energy efficiency index and energy efficiency grade.

7. A microwave oven energy efficiency testing system, used to execute the method according to any one of claims 1 to 6, characterized in that: include: Data acquisition module: including anti-interference platinum resistor, PLC controller, timer, power meter, ammeter, electronic scale and electromagnetic radiation meter; for the working data and status data of the microwave oven, preprocessing the working data and the status data; Data processing module: used for calculating current power, for performing data fusion on the current power and the displayed power, for calculating the efficiency of the first microwave oven and the first grilling energy consumption, for constructing a state influencing factor, and for determining the efficiency of the second microwave oven and the second grilling energy consumption; Model prediction module: used for constructing a microwave oven energy efficiency test model according to the second microwave oven efficiency, the second grilling energy consumption and the state influencing factor, and inputting the working data and state data of the microwave oven to be tested into the microwave oven energy efficiency test model to obtain the microwave oven energy efficiency index and energy efficiency grade; Supervision module: used for storing, viewing and managing the working data, the status data, the microwave oven energy efficiency index and energy efficiency grade.

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