Wireless power and signal coupling system for modular kitchen appliances

Abstract

The application relates to the technical field of household appliances, and discloses a wireless power and signal coupling system of modular kitchen appliances, which comprises a wireless energy perception module, a coupling management core, a signal coupling control module, a wireless energy transmission module, an interference suppression module and an adaptive learning module; in the wireless energy transmission process of the modular kitchen appliances, by setting a preset threshold of energy transmission efficiency and setting a differentiated priority scoring mechanism for different kitchen electronic modules, the distinctness of energy distribution of different devices is ensured, and the interference suppression module is used for monitoring the wireless frequency band interference in the environment in real time, so that whether magnetic field distortion and resonance mismatch problems appear on the energy transmission path can be recognized in real time, the accuracy of wireless energy transmission is ensured, and energy transmission error is reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of household appliances, in particular to a wireless power and signal coupling system of modular kitchen appliances. BACKGROUND

[0002] With the improvement of people's living standards, more and more people pursue a safe, healthy and fast lifestyle, and the types of household kitchen appliances are increasing. The use rate of electric appliances such as range hoods, cookers and disinfection cabinets in the family is increasing. With the continuous development of technology, the linkage of various kitchen appliances has become a development trend.

[0003] At present, in the running process of the wireless power and signal coupling system of modular kitchen appliances, due to the existence of various wireless devices and metal utensils in the kitchen environment, when wireless energy transmission is carried out, it is impossible to monitor in real time whether the electromagnetic field distribution on the transmission path is distorted. When magnetic field deviation and resonance mismatch occur, the energy transmission efficiency will drop sharply, and the power supply stability cannot be guaranteed.

[0004] Therefore, the wireless power and signal coupling system of modular kitchen appliances is proposed to solve the above problems. SUMMARY

[0005] In view of the deficiencies of the prior art, the wireless power and signal coupling system of modular kitchen appliances is provided to solve the problem of energy transmission efficiency drop and inability to guarantee power supply stability in the background art.

[0006] To achieve the above purpose, the present application provides the following technical solutions: a wireless power and signal coupling system of modular kitchen appliances, the system comprising:

[0007] A wireless energy perception module: real-time monitoring and obtaining the wireless energy receiving state and power demand parameters of each kitchen electronic module. When energy fluctuation and demand change beyond the preset threshold are identified, a coupling coordination request is triggered and transmitted to the coupling management core;

[0008] A coupling management core: receiving the coupling coordination request, generating a dynamic energy distribution strategy and signal synchronization instruction based on the current system total load, each sub-module priority scoring mechanism and energy transmission efficiency. When the strategy is successfully generated, the signal coupling control module is activated;

[0009] A signal coupling control module: according to the dynamic energy distribution strategy and signal synchronization instruction, modulating the corresponding wireless communication protocol and carrier frequency, establishing a directional signal link with the target kitchen electronic module, and starting the wireless energy transmission module when the link connection is stable;

[0010] Wireless energy transmission module: through resonance coupling and magnetic induction, along the established directional signal link to the target kitchen electronic module for directional wireless power supply, while in the process of real-time feedback energy transmission efficiency to the coupling management core, when the efficiency is lower than the preset value, then trigger the re-coupling process.

[0011] Preferably, the process of identifying energy fluctuations and demand changes in the wireless energy perception module includes:

[0012] Based on the preset threshold, set the energy receiving threshold E of each kitchen electronic module threshold And the upper limit of demand change rate ;

[0013] Real-time acquisition of the received energy value E of each sub-module real And calculate its change gradient ∇E;

[0014] Calculate the instantaneous deviation amount by the energy deviation amount quantification formula:

[0015] ;

[0016] Where E real is the real-time acquisition energy value, E threshold is the preset receiving threshold;

[0017] The current change gradient And the energy deviation value ΔE continues to exceed the set duration T hold , it is determined that the energy fluctuation and demand change is abnormal.

[0018] Preferably, the process of the coupling management core generating a dynamic energy distribution strategy includes:

[0019] Obtain the real-time power demand P of each kitchen electronic module req , device priority score S priority And historical energy consumption data D hist ;

[0020] Solve the optimal solution by using the dynamic power distribution formula:

[0021] ;

[0022] Where P alloc is the optimal distribution power, and n is the number of sub-modules;

[0023] Based on the total available power P of the system total And real-time load L real , with high priority devices and optimal transmission efficiency η as constraint conditions, the optimal power distribution scheme is solved by linear programming algorithm;

[0024] When there is power conflict and redundancy in the allocation scheme, the device working mode is adjusted and the time delay power supply strategy is introduced.

[0025] Preferably, the process of modulating wireless communication protocol and carrier frequency by the signal coupling control module comprises:

[0026] According to the device type and communication compatibility of the target kitchen electronic module, a matching communication protocol is selected;

[0027] Based on the current environmental noise and electromagnetic interference intensity, the carrier frequency and modulation depth are adaptively adjusted;

[0028] After successful protocol handshake, the phase and amplitude are calibrated through pilot signals to maximize signal transmission stability.

[0029] Preferably, the process of directional wireless power supply by the wireless energy transmission module comprises:

[0030] Adopting multi-coil resonant coupling structure and adaptive magnetic induction array, energy beam forming is realized;

[0031] By real-time monitoring of voltage and current feedback at the receiving end, the output frequency and power at the transmitting end are dynamically adjusted;

[0032] When the transmission efficiency is still lower than the preset value after adjustment, it is determined that the coupling is invalid, and the re-coupling process is started.

[0033] Preferably, the re-coupling process comprises:

[0034] Pause the current energy transmission and backtrack to the signal coupling control module;

[0035] Reacquire the energy receiving state and channel conditions of the target device;

[0036] Based on the updated environmental parameters, the coupling strategy is regenerated and the link is tried to be established.

[0037] Preferably, the system further comprises an interference suppression module:

[0038] Through wideband scanning technology, the frequency band occupation and energy leakage of other wireless devices in the environment are monitored in real time. When frequency band conflict and energy interference are detected, frequency point switching suggestions are generated and sent to the signal coupling control module.

[0039] Preferably, the working process of the interference suppression module comprises:

[0040] Based on the wideband scanning results, the occupation of 2.4GHz, 5.8GHz and ISM frequency bands in the current environment is obtained;

[0041] Based on the interference intensity and frequency band overlap degree, the interference score is calculated;

[0042] When the score exceeds the safety threshold, a frequency switching and frequency hopping protocol is triggered.

[0043] Preferably, the system further comprises an adaptive learning module:

[0044] Record historical coupling success rate, energy transmission efficiency and interference event data, and optimize coupling strategy generation logic and device priority scoring rules through machine learning algorithms.

[0045] Preferably, the machine learning algorithm optimization process of the adaptive learning module comprises:

[0046] An optimization model is established with coupling success rate as the objective function and device priority and transmission efficiency as the independent variables;

[0047] The gradient descent method is used to iteratively update the weight parameters in the strategy generation logic;

[0048] The device priority scoring library is updated after each coupling cycle is completed.

[0049] Compared with the prior art, the present application provides a wireless power and signal coupling system for modular kitchen appliances, which has the following beneficial effects:

[0050] 1. In the present application, during the wireless energy transmission process of the modular kitchen appliance, by setting the preset threshold of energy transmission efficiency and setting a differentiated priority scoring mechanism for different kitchen electronic modules, the explicitness of energy distribution for different devices is ensured, and through the interference suppression module, real-time monitoring of wireless frequency band interference in the environment is realized, which can identify whether there is magnetic field distortion and resonance mismatch problem on the energy transmission path in real time, ensure the accuracy of wireless energy transmission, and reduce energy transmission error.

[0051] 2. In the present application, when performing wireless signal coupling, the signal coupling control module calculates the channel quality deviation value in real time, dynamically judges whether the communication link has synchronization abnormality, so that the system can reduce signal transmission delay and packet loss, and when detecting channel quality deterioration, the communication frequency band can be corrected in real time through frequency switching suggestion, ensuring the stability and real-time performance of signal transmission.

[0052] 3. In the present application, when multiple kitchen electronic modules work cooperatively, the adaptive learning module performs multi-dimensional analysis on the historical working data of the devices, real-time evaluates the power demand deviation value of each module, and adjusts the power distribution strategy in real time according to the priority score of different modules, so that the system can realize multi-device hierarchical power optimization, reduce power distribution imbalance, and improve the accuracy and operation effect of the kitchen electrical system working cooperatively. BRIEF DESCRIPTION OF DRAWINGS

[0053] Figure 1The framework diagram of the wireless power and signal coupling system of the modular kitchen electrical appliance. DETAILED DESCRIPTION

[0054] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of protection of the present application.

[0055] Specific embodiments: please refer to Figure 1 , the wireless power and signal coupling system of the modular kitchen electrical appliance, the system comprises:

[0056] The wireless energy perception module: real-time monitoring and obtaining the wireless energy receiving state and power demand parameters of each kitchen electronic module, when identifying that the energy fluctuation and demand change exceed the preset threshold, triggering the coupling coordination request and transmitting it to the coupling management core;

[0057] The coupling management core: receiving the coupling coordination request, generating a dynamic energy distribution strategy and signal synchronization instruction based on the current system total load, the priority score mechanism of each sub-module and the energy transmission efficiency, when the strategy is successfully generated, activating the signal coupling control module;

[0058] The signal coupling control module: according to the dynamic energy distribution strategy and signal synchronization instruction, modulating the corresponding wireless communication protocol and carrier frequency, establishing a directional signal link with the target kitchen electronic module, when the link connection is stable, starting the wireless energy transmission module;

[0059] The wireless energy transmission module: through resonance coupling and magnetic induction, performing directional wireless power supply to the target kitchen electronic module along the established directional signal link, and simultaneously feeding back the energy transmission efficiency to the coupling management core in real time during the power supply process, when the efficiency is lower than the preset value, triggering the re-coupling process.

[0060] The process of identifying energy fluctuation and demand change in the wireless energy perception module includes:

[0061] Based on the preset threshold, setting the energy receiving threshold E threshold of each kitchen electronic module and the upper limit of the demand change rate ;

[0062] Real-time collection of the received energy value E real of each sub-module and calculation of the change gradient ∇E;

[0063] Calculating the instantaneous deviation amount through the energy deviation amount quantification formula:

[0064] ;

[0065] wherein E real is the real-time collected energy value, E threshold is the preset receiving threshold value;

[0066] the current change gradient and the energy deviation value ΔE lasts for more than a set time length T hold , it is determined that the energy fluctuation and demand change are abnormal.

[0067] The process of generating a dynamic energy distribution strategy by the coupling management core includes:

[0068] acquiring the real-time power demand P req , the equipment priority score S priority and the historical energy consumption data D hist of each kitchen electronic module;

[0069] solving the optimal solution by using a dynamic power distribution formula:

[0070] ;

[0071] wherein P alloc is the optimal distribution power, and n is the number of sub-modules;

[0072] based on the total available power P total and the real-time load L real , the optimal power distribution scheme is solved by a linear programming algorithm with the constraints of high priority of equipment and optimal transmission efficiency η, and the specific process includes:

[0073] defining the power distribution constraint condition:

[0074] ;

[0075] wherein P （i） is the distribution power of the i-th kitchen electronic module, and P total is the total available power of the system;

[0076] taking the equipment priority score S and the real-time load L real as inputs, a target function is constructed:

[0077] ;

[0078] wherein i is an index, is the requested power of the i-th kitchen electronic module, P （i） is the distribution power of the i-th kitchen electronic module, is the priority score of the i-th kitchen electronic module;

[0079] The simplex method is used to solve iteratively, including: initializing a feasible solution, calculating a check number, selecting an entering basis variable, updating the basis solution, until the convergence threshold is met , wherein is a convergence threshold, is a change in the value of the objective function;

[0080] When there is a power conflict and redundancy in the allocation scheme, the device operating mode is adjusted and a delay power supply strategy is introduced.

[0081] The process of signal coupling control module modulating wireless communication protocol and carrier frequency includes:

[0082] According to the device type and communication compatibility of the target kitchen electronic module, a matching communication protocol is selected;

[0083] Based on the current environmental noise and electromagnetic interference intensity, the carrier frequency and modulation depth are adaptively adjusted, and the specific process includes:

[0084] Real-time acquisition of environmental parameters: through sensors to collect the current environmental noise intensity Noise dbm and electromagnetic interference intensity I em as the input basis;

[0085] Calculate the adjustment coefficient k:

[0086] ;

[0087] where η max is the preset maximum transmission efficiency, η current is the current efficiency monitored in real time;

[0088] Apply the carrier frequency adjustment formula:

[0089] ;

[0090] where f new is the new carrier frequency, f old is the original carrier frequency;

[0091] Determine the modulation depth adjustment condition: when k>k thresh , k thresh is the adjustment threshold, then the modulation depth is reduced synchronously:

[0092] ;

[0093] where Depth mod is the modulation depth parameter;

[0094] After the protocol handshake is successful, the phase and amplitude are calibrated through the pilot signal to maximize the signal transmission stability.

[0095] The process of directional wireless power supply by the wireless energy transmission module includes:

[0096] The multi-coil resonant coupling structure and the adaptive magnetic induction array are adopted to realize energy beam forming.

[0097] The output frequency and power of the transmitting end are dynamically adjusted through real-time monitoring of the voltage and current feedback of the receiving end.

[0098] When the transmission efficiency is still lower than the preset value after adjustment, it is determined that the coupling fails, and a re-coupling process is started.

[0099] The re-coupling process includes:

[0100] The current energy transmission is suspended and the signal coupling control module is traced back;

[0101] The energy receiving state and channel conditions of the target device are re-acquired;

[0102] Based on the updated environmental parameters, the coupling strategy is regenerated and the link is tried to be established.

[0103] The system also includes an interference suppression module:

[0104] The frequency band occupation and energy leakage of other wireless devices in the environment are monitored in real time through wide frequency scanning technology, and when frequency band conflict and energy interference are detected, frequency point switching suggestions are generated and sent to the signal coupling control module.

[0105] The working process of the interference suppression module includes:

[0106] Based on the wide frequency scanning results, the occupation of 2.4GHz, 5.8GHz and ISM frequency bands in the current environment is obtained;

[0107] The interference score is calculated based on the interference intensity and the frequency band overlap degree, and the specific process includes:

[0108] The frequency band overlap degree is quantified:

[0109] ;

[0110] Where O ratio is the frequency band overlap ratio, Overlap Bandwidth is the overlap bandwidth, and Total Bandwidth is the total bandwidth;

[0111] Based on the interference intensity I int and O ratio , the interference score formula is applied:

[0112] Score=α·I int +β·O ratio ;

[0113] wherein a and β are weight coefficients, satisfying a + β = 1, calibrated by historical interference data;

[0114] When Score > S safe , S safe is a safety threshold, a frequency switching suggestion is generated;

[0115] When the score exceeds the safety threshold, a frequency switching and frequency hopping protocol is triggered, and the execution process includes:

[0116] Analyzing the interference score and frequency band occupation data, based on the interference score Score and the wide frequency scanning result, a candidate idle frequency point set F candidate is screened, wherein the frequency points with interference intensity I int < I safe and frequency band overlap degree O ratio < 0.3 are preferentially selected, wherein I safe is a safety interference threshold, and O ratio is a frequency band overlap ratio;

[0117] Selecting the optimal idle frequency point: applying the frequency point optimization formula:

[0118] ;

[0119] wherein f opt is the optimal frequency point, f is the candidate frequency point, F candidate is the candidate frequency point set, f current is the current frequency point, Distance represents the frequency switching distance, Noise is the noise intensity of the candidate frequency point, and λ is the weight coefficient;

[0120] Implementing frequency switching: through the signal coupling control module, switching the target frequency point to f opt , and the switching process includes protocol handshake, carrier frequency reconfiguration, and modulation depth synchronization, ensuring that the switching time T switch < 10 ms;

[0121] Verifying link stability: after switching, real-time monitoring of the signal transmission bit error rate BER, when BER > BER thresh , BER thresh is a bit error rate threshold, a backtracking mechanism is triggered;

[0122] Through the signal coupling control module, frequency switching is implemented, and the link stability is verified.

[0123] The system also includes an adaptive learning module:

[0124] Recording historical coupling success rate, energy transmission efficiency, and interference event data, through a machine learning algorithm to optimize the coupling strategy generation logic and device priority score rules, the process of the machine learning algorithm to optimize the coupling strategy generation logic includes:

[0125] Construct training dataset: input features include historical coupling success rate R succ , energy transmission efficiency η, interference event data D int , and label is device priority score S priority ;

[0126] Train model using random forest algorithm, steps include:

[0127] Data normalization:

[0128] ;

[0129] Where X is the original feature value, X norm is the normalized feature, μ is the mean, and σ is the standard deviation;

[0130] Feature importance ranking, select Top-K features;

[0131] Generate a set of decision trees, each tree is split by Bootstrap sampling and Gini index, and the model output is the optimized priority score rule:

[0132] ;

[0133] Where is the new priority score, f model is the machine learning model function.

[0134] The machine learning algorithm optimization process of the adaptive learning module includes:

[0135] Establish an optimization model with coupling success rate as the objective function and device priority and transmission efficiency as independent variables, the optimization model is a coupling success rate prediction model based on device priority score S priority and energy transmission efficiency η, its specific definition is:

[0136] The coupling success rate prediction value R succ is determined by the weighted combination of device priority score S priority and energy transmission efficiency η:

[0137] ;

[0138] Where is the weight coefficient of priority score, λ is the weight coefficient of transmission efficiency, is the normalized device priority score, is the normalized energy transmission efficiency;

[0139] The optimization model aims to maximize R succ , and the constraint conditions include:

[0140] Device priority score S priority It is required that 0≤S priority ≤S max , S max is a preset upper limit of the score;

[0141] Energy transmission efficiency η needs to satisfy η min ≤η≤1, η min is the minimum efficiency threshold that the system can tolerate;

[0142] The gradient descent method is used to iteratively update the weight parameters in the strategy generation logic;

[0143] The device priority score library is updated after each coupling cycle is completed.

[0144] The running steps of the wireless power and signal coupling system of the modular kitchen appliance are as follows:

[0145] Step one: Wireless energy perception and abnormality identification

[0146] The wireless energy perception module monitors the energy reception state and power demand parameters of each kitchen electronic module in real time. When the energy fluctuation and demand change exceed the preset threshold, the module calculates the degree of deviation of the current parameters and evaluates whether the digital twin model activation condition is met. When the activation condition is met, a coupling coordination request is generated and transmitted to the coupling management core. This step quantifies the instantaneous deviation of the energy reception value from the threshold, realizes early and accurate capture of abnormal states, and provides input basis for subsequent processing.

[0147] Step two: Dynamic energy allocation strategy generation

[0148] After the coupling management core receives the coordination request, based on the total load of the system, the priority score mechanism of each sub-module, and the energy transmission efficiency, a dynamic energy allocation strategy and signal synchronization instruction are constructed. This step integrates real-time power demand, device priority score, and historical energy consumption data, and solves the optimal power allocation scheme through an optimization algorithm. When a power conflict is detected, device operation mode adjustment and delayed power supply strategy are triggered to ensure that high-priority devices receive stable energy supply while maintaining overall system load balance.

[0149] Step three: Signal link modulation and establishment

[0150] The signal coupling control module modulates the wireless communication protocol and carrier frequency of the target device according to the dynamic allocation strategy and synchronization instruction. Based on the real-time monitoring results of environmental noise intensity and electromagnetic interference intensity, the carrier frequency offset and modulation depth are adaptively adjusted. The pilot signal is used to calibrate the phase and amplitude, and a directional signal link is established to provide a stable communication foundation for energy transmission. This step realizes the response capability when the channel quality deteriorates.

[0151] Step four: directional wireless energy transmission and closed-loop feedback

[0152] The wireless energy transmission module implements directional power supply through resonance coupling and magnetic induction along the established directional signal link. The energy efficiency is monitored in real time during transmission, and the data is fed back to the coupling management core. When the efficiency is lower than the preset threshold, it is determined that the coupling is invalid, triggering the re-coupling process. This step forms a closed-loop guarantee mechanism for transmission stability by backtracking to the signal control module, re-acquiring environmental parameters, and updating the strategy.

[0153] Step five: interference suppression and frequency switching

[0154] The interference suppression module obtains the occupation and interference intensity of 2.4GHz, 5.8GHz, and ISM frequency bands in the environment in real time through wideband scanning technology. When the interference score exceeds the safety threshold, the optimal idle frequency point is selected by analyzing the frequency band overlap ratio and noise intensity. The signal coupling control module performs frequency switching, and verifies the bit error rate of the link after switching. When the stability does not meet the standard, the backtracking mechanism is triggered to reselect the frequency point.

[0155] Step six: adaptive learning and strategy optimization

[0156] The adaptive learning module continuously records historical coupling success rate, energy transmission efficiency, and interference event data. An optimization model is constructed through machine learning algorithm, taking device priority score and transmission efficiency as input features, and iteratively updating the strategy generation logic. Based on the training results, the scoring rules and power allocation parameters are dynamically adjusted after each coupling cycle, realizing the continuous performance improvement of the system in complex kitchen environments.

[0157] It should be noted that, in the present text, relational terms such as first and second are used merely to distinguish one entity or action from another, and do not necessarily require or imply any actual such relationship or order between or among the entities or actions. Also, the terms "comprises", "comprising", or any other variations thereof are intended to cover non-exclusive inclusions, so that a process, method, article, or apparatus that comprises a list of elements does not only include those elements, but also includes other elements not expressly listed or inherent to such process, method, article, or apparatus. Without more limitations, an element defined by the phrase "comprising a" does not exclude the presence of additional identical elements in the process, method, article, or apparatus that includes the element.

[0158] While embodiments of the application have been shown and described, it is to be understood that the embodiments described are merely exemplary of the principles and application of the present application. Numerous modifications and adaptions can be effected without departing from the spirit and scope of the present application, which is not limited to the exact construction and arrangement described. It is intended, therefore, to cover all modifications and adaptions that fall within the scope of the claims and their equivalents.

Claims

1. A wireless power and signal coupling system for modular kitchen appliances, characterized in that: The system includes: Wireless energy sensing module: Real-time monitoring and acquisition of wireless energy reception status and power demand parameters of each kitchen electronic module. When energy fluctuations and demand changes exceed the preset threshold, a coupling coordination request is triggered and transmitted to the coupling management core. The coupling management core receives the coupling coordination request and, based on the current total system load, the priority scoring mechanism of each submodule, and energy transmission efficiency, generates a dynamic energy allocation strategy and signal synchronization instructions. When the strategy is successfully generated, the signal coupling control module is activated, specifically including: Obtain the real-time power requirements of each kitchen electronic module. Equipment priority scoring and historical energy consumption data ; The optimal solution is obtained using the dynamic power allocation formula: ； in For the first Power allocation for each kitchen electronic module To achieve optimal power allocation, Number of submodules; Based on total available power of the system With real-time load Devices with higher priority scores and higher transmission efficiency will be given priority. The optimal power allocation scheme is solved using a linear programming algorithm, with the optimal constraint being the best option. If there are power conflicts and redundancies in the allocation scheme, the equipment operating mode will be adjusted and a delayed power supply strategy will be introduced. Signal coupling control module: Based on the dynamic energy distribution strategy and signal synchronization command, modulate the corresponding wireless communication protocol and carrier frequency to establish a directional signal link with the target kitchen electronic module. When the link connection is stable, start the wireless energy transmission module. Wireless power transmission module: It provides directional wireless power to the target kitchen electronic module through resonant coupling and magnetic induction along the established directional signal link. At the same time, it provides real-time feedback on the power transmission efficiency to the coupling management core during the power supply process. When the efficiency is lower than the preset value, it triggers the recoupling process.

2. The wireless power and signal coupling system for modular kitchen appliances according to claim 1, characterized in that: The process of identifying energy fluctuations and demand changes in the wireless energy sensing module includes: Based on preset thresholds, set the energy reception threshold for each kitchen electronic module. With upper limit of demand change rate ; Real-time acquisition of received energy values ​​from each submodule And calculate its gradient of change. ; The instantaneous deviation is calculated using the energy deviation quantification formula: ； in To collect energy values ​​in real time, The preset receiving threshold is used; Current gradient of change And energy deviation value Continuing for more than the set time If so, it is determined to be an abnormal fluctuation in energy and change in demand.

3. The wireless power and signal coupling system for modular kitchen appliances according to claim 1, characterized in that: The process by which the signal coupling control module modulates the wireless communication protocol and carrier frequency includes: Select a matching communication protocol based on the device type and communication compatibility of the target kitchen electronic module; Based on the current environmental noise and electromagnetic interference intensity, the carrier frequency and modulation depth are adaptively adjusted. After a successful protocol handshake, the phase and amplitude are calibrated using pilot signals to maximize signal transmission stability.

4. The wireless power and signal coupling system for modular kitchen appliances according to claim 1, characterized in that: The process of the wireless power transmission module providing directional wireless power supply includes: Energy beamforming is achieved by employing a multi-coil resonant coupling structure and an adaptive magnetic induction array. By monitoring the voltage and current feedback at the receiver in real time, the output frequency and power of the transmitter are dynamically adjusted. If the transmission efficiency is still lower than the preset value after adjustment, it is determined that the coupling has failed and the recoupling process is initiated.

5. The wireless power and signal coupling system for modular kitchen appliances according to claim 4, characterized in that: The recoupling process includes: Pause the current energy transmission and revert to the signal coupling control module; Reacquire the energy reception status and channel conditions of the target device; The coupling strategy is regenerated based on the updated environmental parameters, and an attempt is made to establish a link.

6. The wireless power and signal coupling system for modular kitchen appliances according to claim 1, characterized in that: The system also includes an interference suppression module: The system uses wideband scanning technology to monitor the frequency band occupancy and power leakage of other wireless devices in the environment in real time. When frequency band conflicts and power interference are detected, frequency switching suggestions are generated and sent to the signal coupling control module.

7. The wireless power and signal coupling system for modular kitchen appliances according to claim 6, characterized in that: The operation process of the interference suppression module includes: Based on the broadband scan results, the occupancy status of the 2.4GHz, 5.8GHz and ISM bands in the current environment is obtained; Interference score is calculated based on interference intensity and frequency band overlap. When the score exceeds the safety threshold, frequency switching and frequency hopping protocols are triggered.

8. The wireless power and signal coupling system for modular kitchen appliances according to claim 1, characterized in that: The system also includes an adaptive learning module: Record historical coupling success rate, energy transfer efficiency, and interference event data, and optimize coupling strategy generation logic and device priority scoring rules through machine learning algorithms.

9. The wireless power and signal coupling system for modular kitchen appliances according to claim 8, characterized in that: The machine learning algorithm optimization process of the adaptive learning module includes: Establish an optimization model with coupling success rate as the objective function and device priority and transmission efficiency as independent variables; The weight parameters in the strategy generation logic are updated iteratively using gradient descent. The device priority scoring database is updated after each coupling cycle is completed.

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