Method and system for realizing power supply control based on wireless signal technology

Abstract

The invention relates to the technical field of power supply control, and discloses a control method and system for realizing a power supply based on a wireless signal technology, and the method comprises the steps: carrying out the high-frequency harmonic component stripping processing of an original environment reflection signal, and obtaining an electromagnetic characteristic signal; identifying a direct wave component and a reflected wave component of the electromagnetic characteristic signal so as to calculate a signal propagation time delay and a signal attenuation coefficient of the electromagnetic characteristic signal in the signal transmission path; the method comprises the steps of constructing a three-dimensional electromagnetic field model of a target area, identifying harmonic characteristics of power equipment in the target area, detecting and monitoring backscattering signals in real time based on the harmonic characteristics so as to analyze energy absorption characteristics of the power equipment, and constructing an energy consumption demand curve of the power equipment based on the energy absorption characteristics; and performing power supply time sequence scheme optimization on the power supply equipment to perform parameter adjustment on the pre-configured phased array to obtain adjusted signal equipment, and performing power supply control on the power supply equipment. According to the invention, the accuracy of power supply control can be improved.

Description

Technical Field

[0001] The present invention relates to a method and system for controlling a power supply based on wireless signal technology, and belongs to the technical field of power supply control. Background Art

[0002] Power supply control refers to the process of regulating and managing the supply, distribution, and use of electrical energy, which is widely applied in many fields such as industrial production, intelligent buildings, consumer electronics, and transportation. In industrial scenarios, power supply control can ensure the stable operation of various production equipment. In the field of intelligent buildings, efficient power supply management for systems such as lighting and air conditioning can be achieved. With the increasing complexity and diversification of modern technology application scenarios, the drawbacks of traditional power supply control methods are gradually emerging. For example, physical wiring restricts the installation location and flexibility of equipment, and the response speed of wired communication protocols lags behind when dealing with rapidly changing control requirements, and it is unable to dynamically adjust power supply control strategies in real time according to environmental changes, user needs, etc.

[0003] Currently, the intelligent means for power supply control are mainly based on wired-connected automatic control. By means of wired communication lines, the power supply is controlled according to preset logical instructions. Although this method can achieve a certain degree of automatic operation, in the face of changing power consumption environments, equipment load fluctuations, and diverse user power consumption needs, it is unable to sense power supply equipment in real time, which leads to the inability to accurately match power supply with actual power consumption needs and thus unable to achieve precise control of the power supply. Summary of the Invention

[0004] The present invention provides a method and system for controlling a power supply based on wireless signal technology, and its main purpose is to improve the accuracy of power supply control.

[0005] To achieve the above object, the power supply control method based on wireless signal technology provided by the present invention includes:

[0006] After a composite microwave signal is emitted to a target area by using a pre-configured phased array, an echo signal reflected from the target area is received to obtain an original environmental reflection signal, and the original environmental reflection signal is subjected to high-frequency harmonic component stripping processing to obtain an electromagnetic feature signal;

[0007] Perform multipath time delay analysis on the electromagnetic feature signal to identify the direct wave component and the reflected wave component of the electromagnetic feature signal, and based on the direct wave component and the reflected wave component, calculate the signal propagation time delay and the signal attenuation coefficient of the electromagnetic feature signal in the signal transmission path;

[0008] Based on the signal propagation delay and the signal attenuation coefficient, a three-dimensional electromagnetic field model of the target area is constructed. Using the three-dimensional electromagnetic field model, the harmonic characteristics of the power supply equipment in the target area are identified. Based on the harmonic characteristics, the backscattered signals of the power supply equipment are monitored in real time. Based on the backscattered signals, the energy absorption characteristics of the power supply equipment are analyzed. Based on the energy absorption characteristics, an energy consumption demand curve of the power supply equipment is constructed;

[0009] Based on the energy consumption demand curve, the power supply timing scheme of the power supply equipment is optimized to obtain a multi-objective load distribution strategy for the power supply equipment. Based on the multi-objective load distribution strategy, the parameters of the pre-configured phased array are adjusted to obtain an adjusted signal device. Using the adjusted signal device, power control is performed on the power supply equipment.

[0010] Optionally, the high-frequency harmonic component stripping process for the original environmental reflection signal to obtain an electromagnetic feature signal includes:

[0011] Perform band-pass filtering on the original environmental reflection signal to obtain a baseband purification signal;

[0012] Perform second-order intermodulation distortion cancellation on the baseband purification signal to obtain an intermodulation suppression signal;

[0013] Perform third-order cross-interference cancellation on the intermodulation suppression signal to obtain a cross-modulation compensation signal;

[0014] Perform non-linear residual compensation on the cross-modulation compensation signal to obtain an enhanced signal;

[0015] Perform harmonic component reconstruction on the enhanced signal to obtain an electromagnetic feature signal.

[0016] Optionally, the multi-path delay analysis of the electromagnetic feature signal to identify the direct wave component and the reflected wave component of the electromagnetic feature signal includes:

[0017] Perform short-time Fourier transform on the electromagnetic feature signal to obtain a time-frequency matrix;

[0018] Based on the time-frequency matrix, construct a sparse dictionary of the electromagnetic feature signal;

[0019] Perform sparse reconstruction on the multi-path components in the sparse dictionary to obtain a sparse coefficient vector;

[0020] Identify the direct wave component and the reflected wave component of the electromagnetic feature signal according to the sparse coefficient vector.

[0021] Optionally, calculating the signal propagation delay and signal attenuation coefficient of the electromagnetic characteristic signal in the signal transmission path based on the direct wave component and the reflected wave component includes:

[0022] Performing peak detection on the direct wave component and the reflected wave component to obtain the direct wave arrival time and the reflected wave arrival time;

[0023] Based on the direct wave arrival time and the reflected wave arrival time, calculating the signal propagation delay of the electromagnetic characteristic signal in the signal transmission path using the following formula:

[0024] T = w d ×(t d - t0) + w r ×(t r - t0)

[0025] where T represents the signal propagation delay, w d represents the weight of the direct wave component, w r represents the weight of the reflected wave component, t0 represents the emission time of the electromagnetic characteristic signal, t d represents the direct wave arrival time, t r represents the reflected wave arrival time;

[0026] Calculating the signal attenuation coefficient of the direct wave component using the following formula to obtain the first signal attenuation coefficient:

[0027]

[0028] where α d represents the first signal attenuation coefficient, P t represents the power of the transmitted signal corresponding to the direct wave component, P rd represents the received power of the direct wave component, and P(d) represents the path loss of the direct wave component;

[0029] Calculating the signal attenuation coefficient of the reflected wave component using the following formula to obtain the second signal attenuation coefficient:

[0030]

[0031] where α r represents the second signal attenuation coefficient, P t represents the power of the transmitted signal corresponding to the direct wave component, P rr represents the received power of the reflected wave component, and P(r) represents the path loss of the reflected wave component;

[0032] Performing weighted processing on the first signal attenuation coefficient and the second signal attenuation coefficient to determine the signal attenuation coefficient of the electromagnetic characteristic signal in the signal transmission path.

[0033] Optionally, constructing the three-dimensional electromagnetic field model of the target area based on the signal propagation delay and the signal attenuation coefficient includes:

[0034] Converting the target area into a three-dimensional voxel grid;

[0035] Based on the three-dimensional voxel grid, reconstructing the propagation path of the target area to obtain a set of reconstructed paths;

[0036] Performing environmental CAD matching on the set of reconstructed paths to obtain a set of matching paths;

[0037] Using the signal propagation delay and the signal attenuation coefficient, calculating the field strength distribution of different matching paths in the set of matching paths to obtain a field strength matrix;

[0038] Based on the field strength matrix, constructing a three-dimensional heat map of the target area;

[0039] Performing digital twin processing on the three-dimensional heat map to obtain a three-dimensional electromagnetic field model.

[0040] Optionally, using the three-dimensional electromagnetic field model to identify the harmonic characteristics of the power supply equipment in the target area includes:

[0041] Performing coordinate matching between the three-dimensional electromagnetic field model and the power supply equipment in the target area to obtain a set of equipment coordinates;

[0042] Identifying the spectral characteristics of the corresponding positions of the set of equipment coordinates in the three-dimensional electromagnetic field model;

[0043] Performing feature matching between the spectral characteristics and a pre-configured equipment fingerprint library to obtain matching features;

[0044] Based on the matching features, identifying the harmonic characteristics of the power supply equipment in the target area.

[0045] Optionally, analyzing the energy absorption characteristics of the power supply equipment based on the backscattered signal includes:

[0046] Performing DC component removal processing on the backscattered signal to obtain a DC-removed signal;

[0047] Identifying the frequency domain characteristics and time domain characteristics of the DC-removed signal;

[0048] Based on the frequency domain characteristics, analyzing the absorption response of the power supply equipment to electromagnetic waves of different frequencies to obtain frequency absorption characteristics;

[0049] Based on the time domain characteristics, constructing an energy absorption model of the power supply equipment;

[0050] Using the energy absorption model, analyze the energy absorption efficiency of the power supply device under different working conditions;

[0051] Based on the frequency absorption characteristics and the energy absorption efficiency, identify the energy absorption characteristics of the power supply device.

[0052] Optionally, constructing the energy consumption demand curve of the power supply device based on the energy absorption characteristics includes:

[0053] Perform time series alignment processing on the energy absorption characteristics to obtain time series absorption characteristics;

[0054] Perform working condition segmentation annotation processing on the time series absorption characteristics to obtain annotation characteristics;

[0055] Based on the annotation characteristics, perform vectorization processing on the annotation characteristics to obtain an annotation matrix;

[0056] Use the annotation matrix to construct an energy consumption demand prediction model for the power supply device;

[0057] Based on the energy consumption demand prediction model, analyze the future energy consumption distribution of the power supply device;

[0058] Based on the future energy consumption distribution, construct the energy consumption demand curve of the power supply device.

[0059] Optionally, optimizing the power supply timing scheme for the power supply device based on the energy consumption demand curve to obtain a multi-objective load distribution strategy for the power supply device, including:

[0060] Perform segmentation processing on the energy consumption demand curve to obtain a segmented curve;

[0061] Perform overload detection on the segmented curve to obtain an overload curve;

[0062] Perform load adjustment on the overload curve to obtain an adjustment curve;

[0063] Based on the adjustment curve, frame the preliminary load distribution strategy of the power supply device;

[0064] Identify the operation constraints and power supply requirements of the power supply device;

[0065] Based on the operation constraints and the power supply requirements, optimize the preliminary load distribution strategy to obtain a multi-objective load distribution strategy.

[0066] To solve the above problems, the present invention also provides a control system for a power supply implemented based on wireless signal technology. The system includes:

[0067] A signal processing module, which is configured to transmit a composite microwave signal to a target area by using a pre-configured phased array, receive an echo signal reflected back from the target area, obtain an original environmental reflection signal, and perform high-frequency harmonic component stripping processing on the original environmental reflection signal to obtain an electromagnetic feature signal;

[0068] A signal analysis module, which is configured to perform multipath delay analysis on the electromagnetic feature signal to identify the direct wave component and the reflected wave component of the electromagnetic feature signal, and calculate the signal propagation delay and the signal attenuation coefficient of the electromagnetic feature signal in the signal transmission path based on the direct wave component and the reflected wave component;

[0069] A device energy consumption analysis module, which is configured to construct a three-dimensional electromagnetic field model of the target area based on the signal propagation delay and the signal attenuation coefficient, use the three-dimensional electromagnetic field model to identify the harmonic characteristics of a power supply device in the target area, monitor the backscattered signal of the power supply device in real time based on the harmonic characteristics, analyze the energy absorption characteristics of the power supply device based on the backscattered signal, and construct an energy consumption demand curve of the power supply device based on the energy absorption characteristics;

[0070] A power supply control module, which is configured to optimize the power supply timing scheme of the power supply device based on the energy consumption demand curve to obtain a multi-objective load distribution strategy for the power supply device, adjust the parameters of the pre-configured phased array based on the multi-objective load distribution strategy to obtain an adjusted signal device, and use the adjusted signal device to control the power supply of the power supply device.

[0071] Compared with the problems described in the background art, in the embodiments of the present invention, a pre-configured phased array is used to transmit a composite microwave signal to a target area and receive the echo, so as to obtain the original environmental reflection signal, and the signal is purified to highlight the essential electromagnetic characteristics, improving the analysis accuracy; further, the present invention performs multipath delay analysis on the electromagnetic characteristic signal through methods such as short-time Fourier transform, constructing a sparse dictionary, and sparse reconstruction, identifies the direct wave and reflected wave components, understands the signal propagation path, and calculates the signal propagation delay and attenuation coefficient based on this to locate the target area and assist the device in selecting parameters such as transmission power, thereby ensuring the communication quality and stability; further, the present invention constructs a three-dimensional electromagnetic field model to identify the harmonic characteristics of the power supply device to monitor the backscattered signal in real time, obtain the dynamic information of the device, and construct an energy absorption model of the device to understand the energy utilization efficiency and consumption of the device, and then construct an energy consumption demand curve of the power supply device to analyze the future energy consumption distribution, etc., showing the variation law of the device energy consumption, providing a basis for power supply and device scheduling; furthermore, the present invention constructs a multi-objective load distribution strategy by considering the operation constraints and power supply requirements of the power supply device to achieve reasonable load distribution, then adjusts the phased array parameters to enable more accurate control of the device operation state, and uses the adjusted signal device to perform power control on the power supply device, and dynamically controls the phased array beam by matching the device position and energy consumption demand in real time to achieve fine control. Therefore, the present invention can improve the accuracy of power control. Brief Description of the Drawings

[0072] Figure 1 It is a schematic flowchart of a method for controlling a power supply based on wireless signal technology provided by an embodiment of the present invention;

[0073] Figure 2 It is a schematic diagram of modules of a control system for implementing the power supply based on wireless signal technology provided by an embodiment of the present invention.

[0074] The implementation, functional features, and advantages of the present invention will be further described with reference to the embodiments and the accompanying drawings. Detailed Embodiments

[0075] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0076] The embodiments of the present application provide a method for controlling a power supply based on wireless signal technology. The execution subject of the method for controlling a power supply based on wireless signal technology includes, but is not limited to, at least one of electronic devices such as a server, a terminal, etc. that can be configured to execute the method provided by the embodiments of the present application. In other words, the method for controlling a power supply based on wireless signal technology can be executed by software or hardware installed on a terminal device or a server device. The server includes, but is not limited to: a single server, a server cluster, a cloud server, or a cloud server cluster, etc.

[0077] Embodiment 1:

[0078] Referring to Figure 1 As shown, it is a schematic flowchart of a method for controlling a power supply based on wireless signal technology provided by an embodiment of the present invention. In this embodiment, the method for controlling a power supply based on wireless signal technology includes:

[0079] S1. After using a preconfigured phased array to transmit a composite microwave signal to a target area, receive the echo signal reflected back from the target area to obtain an original environmental reflection signal, and perform high-frequency harmonic component stripping processing on the original environmental reflection signal to obtain an electromagnetic feature signal.

[0080] In the embodiment of the present invention, by using the preconfigured phased array to transmit a composite microwave signal to the target area and then receiving the echo signal reflected back from the target area to obtain the original environmental reflection signal, the electromagnetic information of the target area can be collected, especially the environmental information around the power supply device, providing reliable data for subsequent power control analysis.

[0081] Among them, the preconfigured phased array refers to a phased array antenna system with preset parameters (such as the arrangement of line units, the beam scanning range, the transmission power, etc.), which is composed of multiple antenna units. By controlling the signal phase and amplitude of each unit, the beam pointing control and shape adjustment can be achieved.

[0082] The composite microwave signal refers to a signal composed of a combination of microwave signals with multiple different frequencies, phases, and amplitudes. The target area refers to a specific spatial range where power supply control is required. The original environmental reflection signal refers to the signal received by the phased array and reflected back from the target area.

[0083] Optionally, the original environmental reflection signal can be obtained by using the preconfigured phased array to send a composite microwave signal to the target area according to the set transmission mode and power, and at the same time using the receiving function of the phased array to collect the echo reflected back from the target area.

[0084] In the embodiment of the present invention, by performing high-frequency harmonic component stripping processing on the original environmental reflection signal, the electromagnetic feature signal obtained can purify the original signal, highlight the signal part that reflects the essential electromagnetic features of the target area, and improve the accuracy of the analysis of the original environmental area signal.

[0085] Among them, the electromagnetic feature signal refers to the information related to the position, material, and structure of objects (such as power supply devices) in the target area.

[0086] As an embodiment of the present invention, the high-frequency harmonic component stripping processing on the original environmental reflection signal to obtain the electromagnetic feature signal includes: performing band-pass filtering on the original environmental reflection signal to obtain a baseband purification signal, performing second-order intermodulation distortion cancellation on the baseband purification signal to obtain an intermodulation suppression signal, performing third-order cross-interference cancellation on the intermodulation suppression signal to obtain a cross-modulation compensation signal, performing nonlinear residual compensation on the cross-modulation compensation signal to obtain an enhanced signal, and performing harmonic component reconstruction on the enhanced signal to obtain the electromagnetic feature signal.

[0087] Among them, the baseband purification signal refers to a clean signal obtained by filtering out high-frequency and low-frequency interference signals outside a specific passband range in the original signal and retaining the useful signal components within the target frequency band. The intermodulation suppression signal refers to the signal obtained after canceling the second-order intermodulation distortion generated by the baseband purification signal passing through a nonlinear element during transmission. The cross-modulation compensation signal refers to the signal obtained after performing third-order cross-interference cancellation on the intermodulation suppression signal.

[0088] Optionally, the baseband purification signal can be obtained by performing band-pass filtering on the original environmental reflection signal using an FIR filter bank. The intermodulation suppression signal can be obtained by using an adaptive filtering technique, such as the least mean square algorithm, to continuously iterate and update the filter coefficients corresponding to the baseband purification signal and gradually eliminate the influence of the second-order intermodulation distortion on the signal. The cross-modulation compensation signal can be obtained by performing spectrum analysis on the intermodulation suppression signal using a spectrum analysis-based method to find the frequency components and amplitudes of the third-order cross-interference, and then using digital signal processing technology to generate a compensation signal. The enhanced signal can be obtained by using a neural network to establish a nonlinear residual model and then performing signal compensation on the cross-modulation compensation signal. The harmonic component reconstruction of the enhanced signal to obtain the electromagnetic feature signal can be achieved by using fast Fourier transform technology.

[0089] S2. Perform multipath delay analysis on the electromagnetic feature signal to identify the direct wave component and the reflected wave component of the electromagnetic feature signal. Based on the direct wave component and the reflected wave component, calculate the signal propagation delay and the signal attenuation coefficient of the electromagnetic feature signal in the signal transmission path.

[0090] In the embodiments of the present invention, by performing multipath delay analysis on the electromagnetic feature signal to identify the direct wave component and the reflected wave component of the electromagnetic feature signal, it can help the user understand the direct propagation situation of the signal from the transmitting end to the target area and then back, as well as the complex propagation path of the signal in the environment.

[0091] Among them, the direct wave component refers to the electromagnetic wave signal component that directly propagates from the signal transmitting end to the receiving end, and the reflected wave component refers to the electromagnetic wave signal component that reaches the receiving end after the electromagnetic signal is reflected when encountering various objects (such as the ground, buildings, obstacles, etc.) during the transmission process.

[0092] As an embodiment of the present invention, performing multipath delay analysis on the electromagnetic feature signal to identify the direct wave component and the reflected wave component of the electromagnetic feature signal includes: performing short-time Fourier transform on the electromagnetic feature signal to obtain a time-frequency matrix, constructing a sparse dictionary of the electromagnetic feature signal based on the time-frequency matrix, performing sparse reconstruction on the multipath components in the sparse dictionary to obtain a sparse coefficient vector, and identifying the direct wave component and the reflected wave component of the electromagnetic feature signal according to the sparse coefficient vector.

[0093] Among them, the time-frequency matrix refers to a two-dimensional matrix used to represent the distribution characteristics of a signal in the two dimensions of time and frequency, the sparse dictionary refers to a matrix composed of a group of basis functions or atoms for sparsely representing a signal, and the sparse coefficient vector refers to a vector related to the sparse dictionary that contains the representation coefficients of the signal under the sparse dictionary.

[0094] Optionally, the time-frequency matrix can divide the electromagnetic feature signal into multiple short time periods, perform short-time Fourier transform on the signal in each short time period to analyze the frequency components of the signal in that period, and then combine the spectral results corresponding to each short time period to obtain. The sparse dictionary can analyze the characteristics of different time-frequency points in the time-frequency matrix, and select appropriate basis functions such as discrete Fourier basis, wavelet basis, etc. according to the characteristics of the signal and the situation of multipath components. Then, combine these basis functions to construct a dictionary matrix that can represent various multipath components in the electromagnetic feature signal. The sparse coefficient vector can project the electromagnetic feature signal onto the sparse dictionary, and then use a sparse reconstruction algorithm to query and obtain the coefficient vector that can determine the electromagnetic feature signal with the fewest basis function combinations. The direct wave component and the reflected wave component can analyze the basis functions corresponding to each element in the sparse coefficient vector (different basis functions represent different multipath components) by combining prior knowledge and signal propagation models, and then judge according to the characteristics of the basis functions and the magnitude of the coefficients. For example, the direct wave usually has the shortest propagation path, and the corresponding basis function generally has specific time-frequency characteristics and larger coefficient values, and specific analysis and determination need to be combined with actual applications.

[0095] Furthermore, in the embodiments of the present invention, by calculating the signal propagation delay and the signal attenuation coefficient of the electromagnetic characteristic signal in the signal transmission path based on the direct wave component and the reflected wave component, the time taken by the signal during the entire transmission process can be understood through the signal propagation delay, which can help the user determine the distance of the target area, and the signal attenuation coefficient can help the user reasonably select parameters such as the transmission power and antenna gain to ensure that the signal has sufficient intensity in the target area and guarantee the quality and stability of communication.

[0096] Among them, the signal propagation delay refers to the time interval experienced by the signal from the transmitter to the receiver, and the signal attenuation coefficient is a parameter that measures the degree of energy attenuation of the signal during the transmission process.

[0097] As an embodiment of the present invention, calculating the signal propagation delay and the signal attenuation coefficient of the electromagnetic characteristic signal in the signal transmission path based on the direct wave component and the reflected wave component includes: performing peak detection on the direct wave component and the reflected wave component to obtain the direct wave arrival time and the reflected wave arrival time, and based on the direct wave arrival time and the reflected wave arrival time, using the following formula to calculate the signal propagation delay of the electromagnetic characteristic signal in the signal transmission path:

[0098] T = w d ×(t d - t0) + w r ×(t r - t0)

[0099] Among them, T represents the signal propagation delay, w d represents the weight of the direct wave component, w r represents the weight of the reflected wave component, t0 represents the transmission time of the electromagnetic characteristic signal, t d represents the direct wave arrival time, t r represents the reflected wave arrival time;

[0100] Using the following formula to calculate the signal attenuation coefficient of the direct wave component to obtain the first signal attenuation coefficient:

[0101]

[0102] Among them, α d represents the first signal attenuation coefficient, P t represents the power of the transmitted signal corresponding to the direct wave component, P rd represents the received power of the direct wave component, and P(d) represents the path loss of the direct wave component;

[0103] Using the following formula to calculate the signal attenuation coefficient of the reflected wave component to obtain the second signal attenuation coefficient:

[0104]

[0105] where α r represents the second signal attenuation coefficient, P t represents the power of the direct wave component corresponding to the transmitted signal, P rr represents the received power of the reflected wave component, and P(r) represents the path loss of the reflected wave component;

[0106] Perform a weighting process on the first signal attenuation coefficient and the second signal attenuation coefficient to determine the signal attenuation coefficient of the electromagnetic characteristic signal in the signal transmission path.

[0107] Optionally, the implementation process of performing peak detection on the direct wave component and the reflected wave component to obtain the arrival time of the direct wave and the arrival time of the reflected wave is as follows: Use a signal processing algorithm, such as peak detection technology based on sliding window comparison, to traverse the signal data of the direct wave and the reflected wave components, determine the moment when the signal amplitude reaches the peak, so as to obtain the arrival time of the direct wave and the arrival time of the reflected wave. The signal attenuation coefficient can be determined according to the importance of the direct wave and the reflected wave components in the overall signal (for example, if the direct wave is more important, it can be set to 0.6, and the reflected wave is 0.4), determine the weighting coefficients of the first and second signal attenuation coefficients, and perform a weighted summation calculation on the two.

[0108] It should be further noted that the above signal propagation delay calculation formula is based on the arrival time of the direct wave and the reflected wave and their respective weights, and considers the signal transmission time to calculate the propagation delay, and can accurately obtain the propagation time delay of the electromagnetic characteristic signal in the transmission path; the first signal attenuation coefficient calculation formula calculates the attenuation coefficient through the transmitted signal power, received power and path loss of the direct wave component, and can quantify the signal attenuation degree of the direct wave component during the transmission process; the second signal attenuation coefficient calculation formula calculates the attenuation coefficient based on the transmitted signal power, received power and path loss of the reflected wave component, and can clarify the signal attenuation situation of the reflected wave component during the transmission process.

[0109] S3. Based on the signal propagation delay and the signal attenuation coefficient, construct a three-dimensional electromagnetic field model of the target area, use the three-dimensional electromagnetic field model to identify the harmonic characteristics of the power supply equipment in the target area, based on the harmonic characteristics, monitor the backscattered signal of the power supply equipment in real time, based on the backscattered signal, analyze the energy absorption characteristics of the power supply equipment, and based on the energy absorption characteristics, construct the energy consumption demand curve of the power supply equipment.

[0110] In an embodiment of the present invention, by constructing a three-dimensional electromagnetic field model of the target area based on the signal propagation delay and the signal attenuation coefficient, it is possible to accurately model the electromagnetic field distribution in the target area in three-dimensional space, and then analyze the characteristics such as the intensity and phase of the electromagnetic field at each point in the target area.

[0111] Among them, the three-dimensional electromagnetic field model refers to.

[0112] As an embodiment of the present invention, constructing the three-dimensional electromagnetic field model of the target area based on the signal propagation delay and the signal attenuation coefficient includes: converting the target area into a three-dimensional voxel grid, reconstructing the propagation path of the target area based on the three-dimensional voxel grid to obtain a reconstructed path set, performing environmental CAD matching on the reconstructed path set to obtain a matching path set, calculating the field strength distribution of different matching paths in the matching path set by using the signal propagation delay and the signal attenuation coefficient to obtain a field strength matrix, constructing a three-dimensional heat map of the target area based on the field strength matrix, and performing digital twin processing on the three-dimensional heat map to obtain a three-dimensional electromagnetic field model.

[0113] Among them, the three-dimensional voxel grid refers to a unit structure that divides three-dimensional space into many small, regularly shaped (usually cubic) units, and each unit is called a voxel. The field strength matrix refers to a matrix composed of electromagnetic field strength values, and its elements correspond to the electromagnetic field strength information at different position points in space.

[0114] Optionally, the three-dimensional voxel grid can be obtained by using three-dimensional modeling technology to divide the target area into many small three-dimensional voxels. The reconstructed path set can be obtained by using the ray tracing algorithm and combining the structural information of the three-dimensional voxel grid to simulate the propagation path of electromagnetic waves in the target area. The matching path set can be obtained by comparing the reconstructed path set with the environmental CAD model of the target area and screening out the paths that conform to the actual environment through feature matching and spatial position matching technologies. The field strength matrix is obtained by calculating the field strength at each point on different paths in the matching path set according to the signal propagation delay and the signal attenuation coefficient and using the electromagnetic propagation theory formula, and converting the calculated field strength into a matrix. The three-dimensional heat map can be constructed by using visualization technology according to the field strength values at each point in the field strength matrix.

[0115] Furthermore, in an embodiment of the present invention, by using the three-dimensional electromagnetic field model to identify the harmonic characteristics of the power supply equipment in the target area, the power supply equipment can be accurately distinguished from the complex electromagnetic environment and its working state can be understood.

[0116] Among them, the harmonic characteristics refer to the characteristics presented by the harmonic components in the signal except the fundamental wave, such as frequency characteristics, amplitude characteristics, and phase characteristics, etc.

[0117] As an embodiment of the present invention, identifying the harmonic characteristics of the power supply equipment in the target area by using the three-dimensional electromagnetic field model includes: matching the coordinates of the three-dimensional electromagnetic field model with the power supply equipment in the target area to obtain a set of equipment coordinates, identifying the spectral characteristics of the corresponding positions of the set of equipment coordinates in the three-dimensional electromagnetic field model, matching the spectral characteristics with a pre-configured equipment fingerprint database to obtain matching characteristics, and identifying the harmonic characteristics of the power supply equipment in the target area based on the matching characteristics.

[0118] Wherein, the pre-configured equipment fingerprint database refers to a database established in advance for storing the characteristic information of various power supply equipment, and these characteristic information are unique and identifiable like the "fingerprints" of the equipment.

[0119] Optionally, the set of equipment coordinates can be obtained by calibrating and matching the coordinate system of the three-dimensional electromagnetic field model with the coordinates of the actual installation positions of the power supply equipment by using geographic information system (GIS) technology. The spectral characteristics are obtained by performing spectral analysis on the positions corresponding to the equipment coordinates in the three-dimensional electromagnetic field model using fast Fourier transform. The matching characteristics can be obtained by using the support vector machine algorithm to compare the extracted spectral characteristics with the characteristics in the pre-configured equipment fingerprint database and finding the characteristics with the highest similarity. The harmonic characteristics can be queried and determined from the equipment fingerprint database according to the corresponding relationship between the matching characteristics and the equipment harmonic characteristics.

[0120] Furthermore, in the embodiment of the present invention, by monitoring the backscatter signal of the power supply equipment in real time based on the harmonic characteristics, the dynamic information of the power supply equipment at different times can be obtained, and thus the change of the operating state of the power supply equipment can be captured in time.

[0121] Wherein, the backscatter signal refers to the part of the electromagnetic wave signal that is scattered in all directions when an electromagnetic wave irradiates an object, and the part that is scattered in the direction opposite to the incident wave direction.

[0122] Optionally, the backscatter signal can be obtained by receiving the reflection signal of the directional antenna receiving device in the harmonic frequency band.

[0123] In the embodiment of the present invention, by analyzing the energy absorption characteristics of the power supply equipment based on the backscatter signal, the utilization efficiency and consumption of electric energy by the power supply equipment can be understood.

[0124] Wherein, the energy absorption characteristics refer to a series of characteristics exhibited by an object or a system during the energy absorption process, and these characteristics can help people understand the absorption, conversion and dissipation of energy in the object or system.

[0125] As an embodiment of the present invention, analyzing the energy absorption characteristics of the power supply device based on the backscatter signal includes: performing a DC component removal process on the backscatter signal to obtain a DC-removed signal, identifying the frequency-domain characteristics and time-domain characteristics of the DC-removed signal, analyzing the absorption response of the power supply device to electromagnetic waves of different frequencies based on the frequency-domain characteristics to obtain frequency absorption characteristics, constructing an energy absorption model of the power supply device based on the time-domain characteristics, using the energy absorption model to analyze the energy absorption efficiency of the power supply device under different working conditions, and identifying the energy absorption characteristics of the power supply device based on the frequency absorption characteristics and the energy absorption efficiency.

[0126] Among them, the frequency absorption characteristic refers to the absorption characteristics of the power supply device to electromagnetic waves of different frequencies, including aspects such as the strength of the absorption ability for a specific frequency, the absorption frequency range, and the absorption selectivity. The energy absorption model refers to a mathematical model or physical model used to describe the process and law of the power supply device absorbing energy. The energy absorption efficiency refers to the ratio of the energy absorbed by the power supply device to the total energy incident on the device.

[0127] Optionally, the DC-removed signal can be obtained by using a high-pass filtering technique, setting an appropriate cut-off frequency, allowing the AC signal to pass through and blocking the DC component to remove the DC component from the backscatter signal. The frequency-domain characteristics can be identified by converting the DC-removed signal to the frequency domain using the fast Fourier transform, and the time-domain characteristics can be obtained by measuring the pulse width of the DC-removed signal. The frequency absorption characteristics can be obtained by analyzing the absorption of the power supply device to electromagnetic waves of different frequencies based on the amplitude changes of each frequency component in the frequency-domain characteristics and comparing the signal amplitudes corresponding to different frequencies of electromagnetic waves. The energy absorption model can be obtained by constructing a mathematical model describing the energy absorption of the power supply device through regression analysis and other methods by combining time-domain characteristics (such as signal peak value, pulse width, etc.) with the working principle of the power supply device. The energy absorption efficiency can be determined by inputting the different working condition parameters of the power supply device into the energy absorption model, calculating the output result according to the model, and comparing the input and the absorbed energy to obtain the absorption efficiency under different working conditions. The energy absorption characteristics can be identified by comprehensively analyzing the frequency selectivity presented by the absorption responses of different frequencies and the overall energy absorption level reflected by the energy absorption efficiency.

[0128] Furthermore, by constructing an energy consumption demand curve of the power supply device based on the energy absorption characteristics in the embodiment of the present invention, the change law of the energy consumption of the power supply device over time or other factors (such as load change, environmental temperature, etc.) can be intuitively displayed, thereby providing a basis for power supply and operation scheduling of the device.

[0129] Among them, the energy consumption demand curve refers to a curve used to describe the change trend of energy consumption over time or other related variables.

[0130] As an embodiment of the present invention, constructing the energy consumption demand curve of the power supply device based on the energy absorption characteristics includes: performing time series alignment processing on the energy absorption characteristics to obtain time series absorption characteristics, performing operating condition segmentation and annotation processing on the time series absorption characteristics to obtain annotation characteristics, vectorizing the annotation characteristics based on the annotation characteristics to obtain an annotation matrix, using the annotation matrix to construct an energy consumption demand prediction model of the power supply device, analyzing the future energy consumption distribution of the power supply device based on the energy consumption demand prediction model, and constructing the energy consumption demand curve of the power supply device based on the future energy consumption distribution.

[0131] Among them, the energy consumption demand prediction model refers to a model established based on mathematical and statistical principles, and is used to predict the energy consumption of the power supply device under different conditions.

[0132] Optionally, the time series absorption characteristics can be obtained by using the timestamp synchronization algorithm to arrange the energy absorption characteristic data collected in different periods according to a unified time scale based on the starting time of the operation of the power supply device. The annotation characteristics are obtained by dividing and marking the time series absorption characteristics according to different operating conditions (such as light load, full load, etc.) with reference to the operation manual of the power supply device and historical operation data. The annotation matrix can be obtained by using one-hot encoding to convert various annotation characteristics into numerical vectors recognizable by a computer, and then arranging them according to row and column rules to construct a matrix. The energy consumption demand prediction model can use machine learning algorithms such as linear regression and neural networks (such as recurrent neural networks), take the annotation matrix as the input, and associate with historical energy consumption data for model training to build. The future energy consumption distribution can be determined by converting the expected operating conditions of the power supply device in the future period into the form of an annotation matrix, inputting it into the energy consumption demand prediction model, and calculating the energy consumption values at different time points. The energy consumption demand curve can use time as the horizontal axis, take the energy consumption values in the future energy consumption distribution as the vertical axis, and draw a smooth curve using a drawing software (such as Matplotlib).

[0133] S4. Optimize the power supply timing scheme of the power supply device based on the energy consumption demand curve to obtain a multi-objective load distribution strategy for the power supply device. Based on the multi-objective load distribution strategy, adjust the parameters of the pre-configured phased array to obtain an adjustment signal device, and use the adjustment signal device to control the power supply of the power supply device.

[0134] In the embodiment of the present invention, by optimizing the power supply timing scheme of the power supply device based on the energy consumption demand curve to obtain a multi-objective load distribution strategy for the power supply device, it is possible to realize the reasonable distribution of different loads, ensure that each load meets the working requirements, and at the same time, the overall system performance reaches the optimal.

[0135] Among them, the multi-objective load distribution strategy refers to a strategy system that comprehensively considers multiple interrelated and potentially conflicting objectives and scientifically plans and distributes the loads of power supply devices.

[0136] As an embodiment of the present invention, optimizing the power supply timing scheme for the power supply device based on the energy consumption demand curve to obtain a multi-objective load distribution strategy for the power supply device includes: segmenting the energy consumption demand curve to obtain a segmented curve, performing overload detection on the segmented curve to obtain an overload curve, performing load adjustment on the overload curve to obtain an adjusted curve, constructing a preliminary load distribution strategy for the power supply device based on the adjusted curve, identifying the operation constraints and power supply requirements of the power supply device, and optimizing the preliminary load distribution strategy based on the operation constraints and the power supply requirements to obtain a multi-objective load distribution strategy.

[0137] Among them, the overload curve refers to the curve formed by segmenting the energy consumption demand curve, setting an overload threshold, performing overload detection on each segmented curve, and marking the part where the energy consumption value exceeds the threshold. The adjusted curve refers to the curve after load reduction on the overload curve. The operation constraints refer to various limiting conditions that the power supply device is subject to during operation, including technical parameter limitations of the device itself, such as maximum power, minimum operation time, maximum current, voltage range, etc. The power supply requirements refer to various requirements put forward by the electrical equipment or system for the power supply device in terms of power supply.

[0138] Optionally, the segmented curve can be obtained by using a data segmentation algorithm (such as the sliding window method) according to the time interval or the energy consumption change characteristics to divide the continuous energy consumption demand curve into multiple small segments with similar characteristics. The overload curve can be obtained by setting a reasonable overload threshold, traversing each segmented curve, comparing the energy consumption values of each time period with the threshold, and using the threshold comparison technology to mark the parts where the energy consumption exceeds the threshold. The adjustment curve can be obtained by using load transfer or power adjustment technology for the overload curve part to transfer part of the load in the overload time period to the low energy consumption time period or reduce the power of the overload load. The preliminary load distribution strategy can be obtained based on the adjustment curve, and according to the adjusted energy consumption distribution of each time period, using a resource allocation algorithm to determine the approximate distribution plan of various types of loads in different time periods. The operation constraints and power supply requirements of the power supply equipment can be consulted from the technical manual of the power supply equipment, combined with the actual operation environment, and the limiting conditions of the equipment operation (such as the maximum power, the minimum operation time, etc.) and the requirements for power supply (such as voltage stability, power supply continuity, etc.) can be analyzed and sorted out. The multi-objective load distribution strategy can be obtained by using a multi-objective optimization algorithm (such as the genetic algorithm, the particle swarm optimization algorithm), taking the operation constraints and power supply requirements as constraint conditions, and taking the power supply cost, the equipment life, the energy utilization rate, etc. as optimization objectives to iteratively optimize the preliminary load distribution strategy.

[0139] Further, in the embodiment of the present invention, by using the multi-objective load distribution strategy to adjust the parameters of the pre-configured phased array, the obtained adjustment signal device can make the signal emitted by the phased array more accurately control the operation state of the power supply equipment, thereby realizing the effective distribution of the load.

[0140] Optionally, the adjustment signal device can be obtained by automatically adjusting the transmission direction and power of the phased array antenna according to the power supply priority and position of each device.

[0141] Furthermore, in the embodiment of the present invention, by using the adjustment signal device to perform power control on the power supply equipment, the fine control of the power supply equipment can be realized, ensuring the efficient and stable operation of the power supply equipment, and further improving the performance and efficiency of the entire power system.

[0142] Optionally, the power control of the power supply equipment by using the adjustment signal device can be realized by real-time matching the device position with the energy consumption demand and dynamically controlling the pointing, power, and timing of the phased array beam.

[0143] Embodiment 2:

[0144] As Figure 2 shown, it is a functional module diagram of the power supply control system based on the wireless signal technology of the present invention.

[0145] The control system 200 for power supply implemented based on wireless signal technology according to the present invention can be installed in an electronic device. According to the functions achieved, the control system for power supply implemented based on wireless signal technology may include a signal processing module 201, a signal analysis module 202, a device energy consumption analysis module 203, and a power supply control module 204. The modules in the present invention can also be referred to as units, which refer to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, and are stored in the memory of the electronic device.

[0146] In the embodiments of the present invention, the functions of each module / unit are as follows:

[0147] The signal processing module 201 is configured to transmit a composite microwave signal to a target area using a pre-configured phased array, receive the echo signal reflected from the target area, obtain the original environmental reflection signal, and perform high-frequency harmonic component stripping processing on the original environmental reflection signal to obtain an electromagnetic feature signal;

[0148] The signal analysis module 202 is configured to perform multipath delay analysis on the electromagnetic feature signal to identify the direct wave component and the reflected wave component of the electromagnetic feature signal, and calculate the signal propagation delay and the signal attenuation coefficient of the electromagnetic feature signal in the signal transmission path based on the direct wave component and the reflected wave component;

[0149] The device energy consumption analysis module 203 is configured to construct a three-dimensional electromagnetic field model of the target area based on the signal propagation delay and the signal attenuation coefficient, use the three-dimensional electromagnetic field model to identify the harmonic characteristics of the power supply device in the target area, monitor the backscattering signal of the power supply device in real time based on the harmonic characteristics, analyze the energy absorption characteristics of the power supply device based on the backscattering signal, and construct an energy consumption demand curve of the power supply device based on the energy absorption characteristics;

[0150] The power supply control module 204 is configured to optimize the power supply timing scheme for the power supply device based on the energy consumption demand curve, obtain a multi-objective load distribution strategy for the power supply device, adjust the parameters of the pre-configured phased array based on the multi-objective load distribution strategy to obtain an adjusted signal device, and use the adjusted signal device to control the power supply of the power supply device.

[0151] Specifically, each module in the control system 200 for power supply implemented based on wireless signal technology in the embodiments of the present invention uses the same technical means as those in the Figure 1 control method for power supply implemented based on wireless signal technology described above, and can produce the same technical effects, which will not be elaborated here.

[0152] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above-described exemplary embodiments, and the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0153] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for controlling a power supply based on wireless signal technology, characterized in that, The method includes: After transmitting a composite microwave signal to a target area using a preconfigured phased array, receiving the echo signal reflected from the target area to obtain an original environmental reflection signal, and performing high-frequency harmonic component stripping processing on the original environmental reflection signal to obtain an electromagnetic feature signal; Performing multipath delay analysis on the electromagnetic feature signal to identify the direct wave component and the reflected wave component of the electromagnetic feature signal, and calculating the signal propagation delay and the signal attenuation coefficient of the electromagnetic feature signal in the signal transmission path based on the direct wave component and the reflected wave component; Based on the signal propagation delay and the signal attenuation coefficient, constructing a three-dimensional electromagnetic field model of the target area, using the three-dimensional electromagnetic field model to identify the harmonic characteristics of the power supply equipment in the target area, based on the harmonic characteristics, real-time monitoring the backscattered signal of the power supply equipment, based on the backscattered signal, analyzing the energy absorption characteristics of the power supply equipment, and based on the energy absorption characteristics, constructing an energy consumption demand curve of the power supply equipment; Based on the energy consumption demand curve, optimizing the power supply timing scheme of the power supply equipment to obtain a multi-objective load distribution strategy for the power supply equipment, based on the multi-objective load distribution strategy, adjusting the parameters of the preconfigured phased array to obtain an adjusted signal device, and using the adjusted signal device to perform power control on the power supply equipment.

2. The control method for a power supply implemented based on wireless signal technology according to claim 1, characterized in that, The performing high-frequency harmonic component stripping processing on the original environmental reflection signal to obtain an electromagnetic feature signal includes: Performing band-pass filtering processing on the original environmental reflection signal to obtain a baseband purification signal; Performing second-order intermodulation distortion cancellation processing on the baseband purification signal to obtain an intermodulation suppression signal; Performing third-order cross-interference cancellation processing on the intermodulation suppression signal to obtain a cross-modulation compensation signal; Performing nonlinear residual compensation on the cross-modulation compensation signal to obtain an enhanced signal; Performing harmonic component reconstruction on the enhanced signal to obtain an electromagnetic feature signal.

3. The control method for a power supply implemented based on wireless signal technology according to claim 1, wherein, The performing multipath delay analysis on the electromagnetic feature signal to identify the direct wave component and the reflected wave component of the electromagnetic feature signal includes: Performing short-time Fourier transform on the electromagnetic feature signal to obtain a time-frequency matrix; Based on the time-frequency matrix, constructing a sparse dictionary of the electromagnetic feature signal; Performing sparse reconstruction on the multipath components in the sparse dictionary to obtain a sparse coefficient vector; Identifying the direct wave component and the reflected wave component of the electromagnetic feature signal according to the sparse coefficient vector.

4. The control method for a power supply implemented based on wireless signal technology according to claim 1, wherein, The calculating the signal propagation delay and the signal attenuation coefficient of the electromagnetic feature signal in the signal transmission path based on the direct wave component and the reflected wave component includes: Performing peak detection on the direct wave component and the reflected wave component to obtain the direct wave arrival time and the reflected wave arrival time; Based on the direct wave arrival time and the reflected wave arrival time, calculating the signal propagation delay of the electromagnetic feature signal in the signal transmission path using the following formula: T = w d ×(t d - t0) + w r ×(t r - t0) where T represents the signal propagation delay, w d represents the weight of the direct wave component, w r represents the weight of the reflected wave component, t0 represents the emission time of the electromagnetic characteristic signal, t d represents the arrival time of the direct wave, t r represents the arrival time of the reflected wave; Calculating the signal attenuation coefficient of the direct wave component using the following formula to obtain a first signal attenuation coefficient: Among them, α d represents the first signal attenuation coefficient, P t represents the power of the transmitted signal corresponding to the direct wave component, P rd represents the received power of the direct wave component, and P(d) represents the path loss of the direct wave component; Calculate the signal attenuation coefficient of the reflected wave component using the following formula to obtain the second signal attenuation coefficient: Among them, α r represents the second signal attenuation coefficient, P t represents the power of the transmitted signal corresponding to the direct wave component, P rr represents the received power of the reflected wave component, and P(r) represents the path loss of the reflected wave component; Perform a weighting process on the first signal attenuation coefficient and the second signal attenuation coefficient to determine the signal attenuation coefficient of the electromagnetic characteristic signal in the signal transmission path.

5. The control method for a power supply implemented based on wireless signal technology according to claim 1, characterized in that, Based on the signal propagation delay and the signal attenuation coefficient, constructing the three-dimensional electromagnetic field model of the target area includes: Convert the target area into a three-dimensional voxel grid; Based on the three-dimensional voxel grid, reconstruct the propagation path of the target area to obtain a reconstructed path set; Perform environmental CAD matching on the reconstructed path set to obtain a matching path set; Use the signal propagation delay and the signal attenuation coefficient to calculate the field strength distribution of different matching paths in the matching path set to obtain a field strength matrix; Based on the field strength matrix, construct a three-dimensional heat map of the target area; Perform digital twin processing on the three-dimensional heat map to obtain a three-dimensional electromagnetic field model.

6. The control method for a power supply implemented based on wireless signal technology according to claim 1, wherein, Using the three-dimensional electromagnetic field model to identify the harmonic characteristics of the power supply equipment in the target area includes: Perform coordinate matching on the three-dimensional electromagnetic field model and the power supply equipment in the target area to obtain an equipment coordinate set; Identify the spectral characteristics of the corresponding positions of the equipment coordinate set in the three-dimensional electromagnetic field model; Perform feature matching on the spectral characteristics with a pre-configured equipment fingerprint library to obtain matching features; Based on the matching features, identify the harmonic characteristics of the power supply equipment in the target area.

7. The control method for a power supply implemented based on wireless signal technology according to claim 1, wherein Based on the backscattered signal, analyzing the energy absorption characteristics of the power supply equipment includes: Perform a DC component removal process on the backscattered signal to obtain a DC-removed signal; Identify the frequency domain characteristics and time domain characteristics of the DC-removed signal; Based on the frequency domain characteristics, analyze the absorption response of the power supply equipment to electromagnetic waves of different frequencies to obtain frequency absorption characteristics; Based on the time domain characteristics, construct an energy absorption model of the power supply equipment; Use the energy absorption model to analyze the energy absorption efficiency of the power supply equipment under different working conditions; Based on the frequency absorption characteristics and the energy absorption efficiency, identify the energy absorption characteristics of the power supply equipment.

8. The control method for a power supply implemented based on wireless signal technology according to claim 1, characterized in that, Based on the energy absorption characteristics, constructing the energy consumption demand curve of the power supply equipment includes: Perform time series alignment processing on the energy absorption characteristics to obtain time series absorption characteristics; Perform working condition segmentation annotation processing on the time series absorption characteristics to obtain annotation characteristics; Based on the annotation characteristics, perform vectorization processing on the annotation characteristics to obtain an annotation matrix; Use the annotation matrix to construct an energy consumption demand prediction model of the power supply equipment; Based on the energy consumption demand prediction model, analyze the future energy consumption distribution of the power supply equipment; Based on the future energy consumption distribution, construct the energy consumption demand curve of the power supply equipment.

9. The control method for a power supply implemented based on wireless signal technology according to claim 1, wherein, Based on the energy consumption demand curve, optimizing the power supply timing scheme of the power supply equipment to obtain a multi-objective load distribution strategy for the power supply equipment includes: Perform segmentation processing on the energy consumption demand curve to obtain a segmented curve; Perform overload detection on the segmented curve to obtain an overload curve; Adjust the load of the overload curve to obtain an adjusted curve; Based on the adjusted curve, construct a preliminary load distribution strategy for the power supply device; Identify the operating constraints and power supply requirements of the power supply device; Based on the operating constraints and the power supply requirements, optimize the preliminary load distribution strategy to obtain a multi-objective load distribution strategy.

10. A control system for a power supply implemented based on wireless signal technology, characterized in that, The system includes: A signal processing module, configured to transmit a composite microwave signal to a target area using a pre-configured phased array, receive an echo signal reflected back from the target area to obtain an original environmental reflection signal, and perform high-frequency harmonic component stripping processing on the original environmental reflection signal to obtain an electromagnetic feature signal; A signal analysis module, configured to perform multipath time delay analysis on the electromagnetic feature signal to identify the direct wave component and the reflected wave component of the electromagnetic feature signal, and calculate the signal propagation time delay and the signal attenuation coefficient of the electromagnetic feature signal in the signal transmission path based on the direct wave component and the reflected wave component; A device energy consumption analysis module, configured to construct a three-dimensional electromagnetic field model of the target area based on the signal propagation time delay and the signal attenuation coefficient, use the three-dimensional electromagnetic field model to identify the harmonic characteristics of the power supply device in the target area, monitor the backscattered signal of the power supply device in real time based on the harmonic characteristics, analyze the energy absorption characteristics of the power supply device based on the backscattered signal, and construct an energy consumption demand curve of the power supply device based on the energy absorption characteristics; A power control module, configured to optimize the power supply timing scheme of the power supply device based on the energy consumption demand curve to obtain a multi-objective load distribution strategy for the power supply device, adjust the parameters of the pre-configured phased array based on the multi-objective load distribution strategy to obtain an adjusted signal device, and use the adjusted signal device to control the power supply of the power supply device.

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