Kitchen electrical appliance integrated control system based on power dynamic distribution

Abstract

The present application relates to the kitchen appliance control technical field, and disclose a kitchen appliance integrated control system based on power dynamic allocation, the system includes power monitoring module, load analysis module, dynamic allocation module, safety protection module, user interaction module, network integration module. Through the power monitoring module, the current, voltage and instantaneous power consumption value of each device are collected in real time, whether it is judged to exceed the safe power interval; based on the load analysis module, the total load state and dynamic demand trend are analyzed, and the potential overload risk is predicted; the dynamic allocation module combines the user priority rule, and the power allocation proportion of key and non-key devices is dynamically adjusted; the safety protection module monitors in real time, and automatically executes the hierarchical protection measures; the user interaction module provides the graphical interface to support the priority configuration and the power upper limit setting, and realizes the strategy closed loop optimization.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of kitchen appliance control, in particular to a kitchen appliance integrated control system based on power dynamic allocation. BACKGROUND

[0002] With the development of science and technology and the improvement of people's living standards, the types of kitchen appliances are increasing, and each kitchen appliance is provided with a separate control system to control its working state.

[0003] At present, due to the existence of multiple high-power appliances running simultaneously in the kitchen environment, the fixed threshold mechanism equipped cannot detect whether the circuit load appears abnormal fluctuation in real time when the kitchen appliance power dynamic allocation is performed, and if the load fluctuation exceeds the safety range, it will cause circuit overload and equipment damage, and cannot guarantee the continuity of the cooking process.

[0004] Therefore, the kitchen appliance integrated control system based on power dynamic allocation is proposed to solve the above problems. SUMMARY

[0005] In view of the deficiencies of the prior art, the kitchen appliance integrated control system based on power dynamic allocation is provided to solve the problem that the fixed threshold mechanism equipped cannot detect whether the circuit load appears abnormal fluctuation in real time and cannot guarantee the continuity of the cooking process.

[0006] To achieve the above purpose, the present application provides the following technical scheme: a kitchen appliance integrated control system based on power dynamic allocation, comprising:

[0007] A power monitoring module uses a data acquisition unit to collect the current, voltage and instantaneous power consumption value of each kitchen appliance in real time, evaluates whether it exceeds the preset safe power interval through a safety interval judgment unit, and outputs power monitoring data;

[0008] A load analysis module receives the power monitoring data, analyzes the current total load state and dynamic demand trend, including identifying peak load period and predicting potential overload risk, and if the total load is close to and exceeds the circuit carrying threshold, a power distribution instruction is triggered;

[0009] A dynamic allocation module receives the power distribution instruction, integrates the user-set device priority rules through a priority processing unit, dynamically adjusts the power allocation ratio of each kitchen appliance using a power adjustment unit, and outputs a control signal;

[0010] A safety protection module receives the power monitoring data and the output of the dynamic allocation module, monitors the circuit temperature, voltage fluctuation and ground fault in real time through a state monitoring unit, automatically executes power-off and current limiting measures using a protection execution unit, and outputs a protection state signal;

[0011] a user interaction module receiving the protection state signal and the output of the dynamic allocation module, providing user input and display functions through a graphical interface unit, processing user priority settings and power upper limit configurations using the configuration management unit, and outputting user configuration data to the dynamic allocation module.

[0012] Preferably, the process of determining whether the preset safe power interval is exceeded in the power monitoring module is:

[0013] Setting the safe power interval of each kitchen electrical equipment, including the minimum power consumption threshold and the maximum allowed power consumption;

[0014] Calculating the deviation value of the current real-time power consumption from the safe power interval, if the deviation value is greater than zero, it is determined that the safe interval is exceeded and a warning signal is generated;

[0015] If the warning signal lasts more than a preset time window, the load analysis module is activated for in-depth load evaluation.

[0016] Preferably, the process of analyzing the current total load state and dynamic demand trend in the load analysis module includes:

[0017] Based on real-time power data, a load time series curve is constructed to identify load fluctuation peak points;

[0018] Combined with the historical operation database, the load mode under similar scenarios is matched to predict the peak load probability in the future period;

[0019] Wherein, the dimensionless normalization formula is used to predict the peak load probability:

[0020] ;

[0021] Wherein, is the normalized predicted load value, is the current load value, unit: watt, is the historical average load value, unit: watt, is the circuit carrying threshold, unit: watt, α, β are weight coefficients, α + β = 1, if , wherein is a preset proportion threshold, a typical value is 0.8, then it is determined that it is in a high-risk state, triggering the intervention of the dynamic allocation module.

[0022] Preferably, the process of dynamically adjusting the power allocation ratio of each kitchen electrical equipment in the dynamic allocation module is:

[0023] According to the user-set equipment priority rules, the kitchen electrical equipment is divided into key equipment and non-key equipment categories;

[0024] In high-risk state, the full power operation of critical devices is guaranteed, while the power reduction range of non-critical devices is calculated;

[0025] The power consumption of non-critical devices is gradually reduced to energy-saving mode by applying a proportional allocation algorithm, and the released power resources are redirected to critical devices.

[0026] Preferably, the implementation of the proportional allocation algorithm includes:

[0027] Determine the power reduction step size of non-critical devices based on device type and current power consumption level;

[0028] Iteratively adjust the step size until the total load is stable within the circuit carrying threshold;

[0029] Wherein, the power allocation proportion uses the dimensionless formula:

[0030] ;

[0031] Wherein, Pi is the allocated power of device i, in watts, Pi is the normalized priority weight of device i, Pi is the sum of priority weights of all devices, Ptotal is the total available power, in watts, and the formula ensures that the sum of allocated power does not exceed the total available power through weight normalization;

[0032] Monitor the running stability of each device after adjustment. If performance degradation feedback occurs, automatically rollback adjustment and optimize step size parameters.

[0033] Preferably, the process of automatically executing power-off and current-limiting protection measures in the safety protection module is:

[0034] Real-time acquisition of circuit temperature sensor data and voltage fluctuation rate;

[0035] If the temperature exceeds the safety threshold and the voltage fluctuation rate exceeds the tolerance range, generate a first-level protection instruction and execute current-limiting measures;

[0036] If the abnormal signal continues to escalate and a ground fault is detected, generate a second-level protection instruction and trigger a full-system power-off protocol;

[0037] After power-off, automatically start the diagnostic program, record the fault log and push it to the user interaction module.

[0038] Preferably, the process of allowing users to input device priority settings and power upper limit configurations in the user interaction module includes:

[0039] Display the device list and priority slider bar on the graphical interface, users can drag and set high, medium and low priority levels;

[0040] The priority rules are converted into weight coefficients and integrated into the decision engine of the dynamic allocation module;

[0041] Supports scenario-based presets, including daily mode, party mode and energy-saving mode, and one-key switching of different priority configurations.

[0042] Preferably, the graphical interface further includes a real-time operation report function:

[0043] Visual display of the power consumption proportion of each device, total load curve and safety state indicator;

[0044] Generate historical reports, compare energy efficiency performance in different periods and provide optimization suggestions;

[0045] If the system detects potential risks, a warning notification will pop up and recommend the user to adjust the priority and power upper limit.

[0046] Preferably, the system further includes a network integration module:

[0047] Supports connection with smart home network and synchronization of external data such as power grid price signal and weather information;

[0048] Optimize power allocation strategy based on external data and automatically enable energy-saving mode during peak electricity price period;

[0049] Provides a remote control interface to allow users to monitor and intervene in system operation in real time through mobile devices.

[0050] Preferably, the process of connecting with the smart home network in the network integration module is:

[0051] Access the smart home center through standard protocols such as Wi-Fi and Zigbee;

[0052] Receive power grid price signals and display real-time electricity prices in the user interaction module;

[0053] If the electricity price exceeds the preset threshold, the energy-saving strategy of the dynamic allocation module will be automatically triggered;

[0054] Integrate weather data at the same time, and prioritize the operation priority of refrigeration-type kitchen appliances in high-temperature weather.

[0055] Compared with the prior art, the present application provides a kitchen appliance integrated control system based on power dynamic allocation, which has the following beneficial effects:

[0056] 1. In the present application, by setting the power monitoring module, when the power of the kitchen electrical equipment is dynamically allocated, the safety power interval threshold is formulated, and the differentiated power consumption standard is set for different types of electrical appliances, which ensures the definiteness of the collaborative operation of multiple devices, and at the same time, the current, voltage and instantaneous power consumption value of each device are collected in real time, which can detect whether the load is abnormal and the overload risk in time, ensure the safety of the kitchen electrical system operation, and further reduce the circuit failure probability.

[0057] 2. In the present application, by setting the dynamic allocation module, when the power of the kitchen electrical equipment is allocated, the device priority rules set by the user are integrated, the power allocation ratio of key and non-key devices is calculated in real time, so that the system can dynamically adjust the power supply strategy according to the actual demand, avoid excessive power consumption of non-key devices, and automatically enable the energy-saving mode during the peak load period, ensure the continuous and stable operation of the key devices, and improve the energy utilization efficiency.

[0058] 3. In the present application, by setting the safety protection and user interaction module, during the power allocation process, the circuit temperature and voltage fluctuation state are monitored in real time, and current limiting and power-off protection are automatically executed in abnormal conditions, and at the same time, the user can customize the priority and power upper limit through the graphical interface, so that the system can realize human-computer collaborative optimization, reduce the risk of human operation errors, and further improve the intelligence and overall stability of the system control. BRIEF DESCRIPTION OF DRAWINGS

[0059] Figure 1 It is the framework diagram of the kitchen electrical integrated control system based on power dynamic allocation. DETAILED DESCRIPTION

[0060] The technical solutions in the embodiments of the present application will be described clearly and completely 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, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0061] Please refer to Figure 1 , the specific implementation of the kitchen electrical integrated control system based on power dynamic allocation is as follows, including:

[0062] The power monitoring module uses the data acquisition unit to collect the current, voltage and instantaneous power consumption value of each kitchen electrical equipment in real time, evaluates whether it exceeds the preset safety power interval through the safety interval judgment unit, and outputs the power monitoring data;

[0063] A load analysis module receives power monitoring data, analyzes current total load status and dynamic demand trend, including identifying peak load period and predicting potential overload risk, and triggers power distribution instructions if total load approaches and exceeds circuit carrying threshold;

[0064] A dynamic distribution module receives power distribution instructions, integrates user-set device priority rules through a priority processing unit, dynamically adjusts power distribution proportion of each kitchen appliance through a power adjustment unit, and outputs control signals;

[0065] A safety protection module receives power monitoring data and output of the dynamic distribution module, monitors circuit temperature, voltage fluctuation and ground fault in real time through a state monitoring unit, automatically executes power-off and current-limiting measures through a protection execution unit, and outputs protection status signals;

[0066] A user interaction module receives protection status signals and output of the dynamic distribution module, provides user input and display functions through a graphical interface unit, processes user priority settings and power upper limit configurations through a configuration management unit, and outputs user configuration data to the dynamic distribution module;

[0067] The process of determining whether to exceed the preset safe power interval in the power monitoring module is as follows:

[0068] Set the safe power interval of each kitchen appliance, including the minimum power consumption threshold and the maximum allowed power consumption;

[0069] Calculate the deviation value of the current real-time power consumption from the safe power interval using the dimensionless normalization formula:

[0070] ;

[0071] Wherein, is the normalized deviation value, is the current real-time power consumption, unit: watt, is the average value of the safe power interval, unit: watt, , are the upper and lower limits of the safe power interval, respectively, unit: watt, if , is the preset deviation threshold, typical value is 0.1, then it is determined that the safe interval is exceeded and a warning signal is generated;

[0072] If the warning signal lasts for more than a preset time window, the load analysis module is activated for in-depth load evaluation;

[0073] The process of analyzing the current total load status and dynamic demand trend in the load analysis module includes:

[0074] Based on real-time power data, a load time series curve is constructed, and load fluctuation peak points are identified;

[0075] In combination with the historical operation database, the load mode in a similar scenario is matched to predict the peak load probability in the future period;

[0076] The dimensionless normalization formula is used to predict the peak load probability:

[0077] ;

[0078] Wherein, is the normalized predicted load value, is the current load value, unit: watt, is the historical average load value, unit: watt, is the circuit carrying threshold, unit: watt, and α, β are weight coefficients, α+β=1. If , wherein is a preset proportion threshold, and a typical value is 0.8, then it is determined as a high-risk state, triggering the intervention of the dynamic allocation module;

[0079] The process of dynamically adjusting the power allocation proportion of each kitchen appliance in the dynamic allocation module is as follows:

[0080] According to the equipment priority rules set by the user, the kitchen appliances are divided into critical equipment and non-critical equipment categories;

[0081] The dimensionless normalization formula is used to calculate the equipment priority weight:

[0082] ;

[0083] Wherein, is the normalized priority weight of equipment i, is the original priority score of equipment i, ranging from 1 to 10, is the sum of the original priority scores of all equipment. If , wherein w is a weight threshold, and a typical value is 0.05, then it is determined that the equipment is of low priority;

[0084] In the high-risk state, the full-power operation of critical equipment is preferentially ensured, and the power reduction range of non-critical equipment is calculated;

[0085] The proportional allocation algorithm is applied to gradually reduce the power consumption of non-critical equipment to the energy-saving mode, and the released power resources are redirected to critical equipment;

[0086] The implementation of the proportional allocation algorithm includes:

[0087] The power reduction step of non-critical equipment is determined based on the equipment type and the current power consumption level;

[0088] Iteratively adjust and reduce the step size until the total load stabilizes within the circuit's carrying capacity threshold.

[0089] The power allocation ratio uses a dimensionally normalized formula:

[0090] ;

[0091] in, The power allocated to device i, in watts. For device i, the normalized priority weight. The sum of the priority weights of all devices. The total available power is expressed in watts, and the formula is weighted and normalized to ensure that the total allocated power does not exceed the total available power.

[0092] The system monitors the operational stability of each device after adjustments. If performance degradation is reported, the system automatically rolls back the adjustments and optimizes the step size parameters.

[0093] The process of automatically implementing power-off and current-limiting protection measures in the safety protection module is as follows:

[0094] Real-time acquisition of circuit temperature sensor data and voltage fluctuation rate;

[0095] The dimensionless formula is used to calculate the temperature safety factor:

[0096] ;

[0097] in, For temperature safety factor, This is the current temperature value, in degrees Celsius. , These are the lower and upper limits of the safe temperature range, respectively, in degrees Celsius.

[0098] like ,in If the threshold value is 0.9, a level 1 protection command will be generated, and current limiting measures will be implemented.

[0099] If the abnormal signal continues to escalate and a ground fault is detected, a secondary protection command will be generated, triggering a system-wide power outage protocol.

[0100] The diagnostic program is automatically started after a power outage, the fault log is recorded and pushed to the user interaction module;

[0101] The user interaction module allows users to input device priority settings and power limit configuration processes, including:

[0102] The graphical interface displays a list of devices and a priority slider, which users can drag to set high, medium, and low priority levels, and can also input and adjust the power limit value.

[0103] The priority level set by the user is converted into a weight coefficient using a dimensionless normalization formula:

[0104] ;

[0105] wherein, is the original priority score of device i, , , are the Boolean flags for high, medium, and low priority levels, respectively;

[0106] If , wherein is the priority score threshold, typically 2, the user is prompted to adjust the priority;

[0107] The priority rules are converted into weight coefficients, and the power cap configuration data is processed and integrated into the decision engine of the dynamic allocation module;

[0108] Scenario-based presets are supported, including daily mode, party mode, and energy-saving mode, with one-key switching of different priority configurations and power cap settings;

[0109] The graphical interface also includes a real-time operation report function:

[0110] Visual display of the power consumption proportion of each device, total load curve, and safety status indicator;

[0111] The energy efficiency score is calculated using a dimensionless normalization formula:

[0112] ;

[0113] wherein E is the system energy efficiency score percentage, is the average power consumption of device i in watts, is the operating time of device i in hours, is the total power consumption of the system in watts, is the total operating time in hours;

[0114] If , wherein is the energy efficiency threshold percentage, typically 70%, optimization suggestions are provided;

[0115] Historical reports are generated to compare energy efficiency performance in different time periods and provide optimization suggestions;

[0116] If the system detects potential risks, a warning notification is popped up, and the user is recommended to adjust the priority and power cap;

[0117] The system also includes a network integration module:

[0118] Support connection with smart home network, synchronize external data such as power grid price signal and weather information;

[0119] The calculation of the price response coefficient uses a dimensionless formula:

[0120] ;

[0121] Wherein, is the price response coefficient, is the peak price, unit: yuan / kWh, is the current price, unit: yuan / kWh, is the valley price, unit: yuan / kWh;

[0122] If , wherein r is the response coefficient threshold, the typical value is 0.7, then the energy-saving mode is automatically enabled;

[0123] Based on external data, the power distribution strategy is optimized, and the energy-saving mode is automatically enabled during the peak period of electricity price;

[0124] Provide a remote control interface to allow users to monitor and intervene in system operation in real time through mobile devices;

[0125] The process of connecting with the smart home network in the network integration module is as follows:

[0126] Access the smart home center through standard protocols such as Wi-Fi and Zigbee;

[0127] Receive the power grid price signal and display the real-time electricity price in the user interaction module;

[0128] If the electricity price exceeds the preset threshold, the energy-saving strategy of the dynamic distribution module is automatically triggered;

[0129] At the same time, integrate weather data and prioritize the operation priority of refrigeration-type kitchen appliances in high-temperature weather.

[0130] The operation steps of the kitchen appliance integrated control system based on power dynamic distribution are as follows:

[0131] Step 1: Real-time power data acquisition and anomaly detection

[0132] After the system starts, the power monitoring module continuously collects current, voltage, and instantaneous power consumption data of each kitchen appliance through the built-in sensor. These data are input into the processing unit in real time, compared with the preset safe power interval, and when the power consumption value exceeds the safe range, the system immediately generates a warning signal and evaluates whether it is close to the critical threshold. This step ensures that abnormal conditions are quickly identified and provides a basis for subsequent analysis.

[0133] Step 2: Load state analysis and risk prediction

[0134] After receiving the power monitoring data, the load analysis module analyzes the current total load status in combination with historical operation patterns. The system identifies peak load periods and predicts potential overload risks through time series analysis. When the prediction result shows that the total load is close to or exceeds the circuit carrying capacity, the system triggers dynamic allocation instructions. This step emphasizes the grasp of dynamic demand to avoid sudden failures.

[0135] Step three: priority-driven power dynamic allocation

[0136] Based on the load analysis output, the dynamic allocation module calls the user-set priority rules. The system classifies kitchen appliances into key and non-key categories, calculates the power reduction range of non-key devices, and applies proportional allocation algorithms to adjust the power supply ratio. Key devices maintain full power operation, while non-key devices gradually reduce to energy-saving mode, releasing power resources that are redirected. This step realizes intelligent scheduling of power resources, maximizing energy utilization.

[0137] Step four: circuit safety monitoring and protection execution

[0138] During power allocation, the safety protection module monitors circuit parameters in real time, including temperature, voltage fluctuation, and ground fault. When an anomaly is detected, the system generates graded protection instructions: first-level instructions execute current limiting measures, and second-level instructions trigger system-wide power failure. After power failure, the diagnostic program is automatically started, and fault logs are recorded. This step ensures operational safety, preventing equipment damage and safety accidents.

[0139] Step five: user interaction and configuration optimization

[0140] The user interaction module provides a graphical interface that allows users to set device priorities and power limits. The system converts user configurations into weight coefficients and integrates them into dynamic allocation decisions. Additionally, it supports scenario-based presets, allowing one-click switching between different configurations. Real-time operation reports display power consumption ratios, load curves, and safety states, facilitating user monitoring and adjustment. This step realizes human-machine collaboration, enhancing system controllability.

[0141] Step six: external data integration and strategy optimization

[0142] The network integration module connects the smart home network and synchronizes external data such as power grid price signals and weather information. The system automatically optimizes power allocation strategies based on price fluctuations and high-temperature weather. Remote control interfaces allow users to intervene in system operation through mobile devices. This step expands the system's adaptability, enabling environment-responsive control.

[0143] It is to be understood that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting; it is not intended to exclude myriad other embodiments of the present application that other inventors can develop based on the same general inventive concepts embodied by the described embodiments. That is, although the present application is described in terms of particular embodiments and implementations, it is to be understood that the terminology used is for the purpose of descriptive clarity and that it should be taken in a descriptive sense and not a limiting sense.

[0144] While the embodiments of the application have been shown and described herein, it is to be understood that the application is not limited to these embodiments. Rather, many modifications, changes, substitutions, and alterations can be made to the embodiments of the application without departing from the spirit and scope of the application as defined by the appended claims and their equivalents.

Claims

1. A kitchen appliance integrated control system based on dynamic power allocation, characterized in that: include: The power monitoring module uses the data acquisition unit to collect the current, voltage and instantaneous power consumption values ​​of each kitchen appliance in real time. The safe range judgment unit assesses whether the power exceeds the preset safe power range and outputs the power monitoring data. The load analysis module receives the power monitoring data and analyzes the current total load status and dynamic demand trends, including identifying peak load periods and predicting potential overload risks. If the total load approaches or exceeds the circuit carrying capacity threshold, a power allocation command is triggered. The dynamic allocation module receives the power allocation command, integrates the user-defined device priority rules through the priority processing unit, dynamically adjusts the power allocation ratio of each kitchen appliance using the power adjustment unit, and outputs control signals. The safety protection module receives the power monitoring data and the output of the dynamic allocation module, monitors the circuit temperature, voltage fluctuations and grounding faults in real time through the status monitoring unit, automatically executes power-off and current-limiting measures using the protection execution unit, and outputs protection status signals. The user interaction module receives the protection status signal and the output of the dynamic allocation module, provides user input and display functions through the graphical interface unit, processes user priority settings and power limit configurations using the configuration management unit, and outputs user configuration data to the dynamic allocation module. The process of analyzing the current total load status and dynamic demand trends in the load analysis module includes: A load time series curve is constructed based on real-time power data to identify peak points of load fluctuations; By combining historical operational databases and matching load patterns under similar scenarios, the probability of peak load in future periods can be predicted. The predicted peak load probability uses a dimensional normalization formula: ； in, To normalize the predicted load value, This is the current load value, in watts. This is the historical average load value, in watts. The circuit carrying capacity threshold is expressed in watts, where α and β are weighting coefficients, and α + β = 1. ,in If the preset ratio threshold is not met, the system is considered to be in a high-risk state, triggering the intervention of the dynamic allocation module.

2. The integrated control system for kitchen appliances based on dynamic power allocation according to claim 1, characterized in that: The process by which the power monitoring module determines whether the preset safe power range has been exceeded is as follows: Set the safe power range for each kitchen appliance, including the minimum power consumption threshold and the maximum allowable power consumption; Calculate the deviation between the current real-time power consumption and the safe power range. If the deviation is greater than zero, it is determined that the safe range has been exceeded and a warning signal is generated. If the warning signal continues for more than the preset time window, the load analysis module will be activated to perform an in-depth load assessment.

3. The integrated control system for kitchen appliances based on dynamic power allocation according to claim 1, characterized in that: The process of dynamically adjusting the power allocation ratio of each kitchen appliance in the dynamic allocation module is as follows: Based on the user-defined device priority rules, kitchen appliances are divided into critical and non-critical device categories; In high-risk situations, priority should be given to ensuring the full-power operation of critical equipment, while calculating the range of power reduction that non-critical equipment can be used. By applying a proportional allocation algorithm, the power consumption of non-critical equipment is gradually reduced to energy-saving mode, and the released power resources are redirected to critical equipment.

4. The integrated control system for kitchen appliances based on dynamic power allocation according to claim 3, characterized in that: The implementation of the proportional allocation algorithm includes: Determine the power reduction step size for non-critical devices based on device type and current power consumption level; Iteratively adjust and reduce the step size until the total load stabilizes within the circuit's carrying capacity threshold. The power allocation ratio uses a dimensionally normalized formula: ； in, The power allocated to device i, in watts. For device i, the normalized priority weight. The sum of the priority weights of all devices. The total available power is expressed in watts, and the formula is weighted and normalized to ensure that the total allocated power does not exceed the total available power. The system monitors the operational stability of each device after adjustments. If performance degradation is reported, the system automatically rolls back the adjustments and optimizes the step size parameters.

5. The integrated control system for kitchen appliances based on dynamic power allocation according to claim 1, characterized in that: The process by which the safety protection module automatically executes power-off and current-limiting protection measures is as follows: Real-time acquisition of circuit temperature sensor data and voltage fluctuation rate; If the temperature exceeds the safety threshold or the voltage fluctuation rate exceeds the tolerance range, a first-level protection command is generated to execute current limiting measures. If the abnormal signal continues to escalate and a ground fault is detected, a secondary protection command will be generated, triggering a system-wide power outage protocol. After a power outage, the diagnostic program will automatically start, record the fault log, and push it to the user interaction module.

6. The integrated control system for kitchen appliances based on dynamic power allocation according to claim 1, characterized in that: The user interaction module allows users to input device priority settings and power limit configuration processes, including: The graphical interface displays a list of devices and a priority slider, which users can drag to set high, medium, and low priority levels. Priority rules are transformed into weight coefficients and integrated into the decision engine of the dynamic allocation module; It supports scenario-based presets, including daily mode, banquet mode and energy-saving mode, and allows one-click switching between different priority configurations.

7. The integrated control system for kitchen appliances based on dynamic power allocation according to claim 6, characterized in that: The graphical interface also includes a real-time operation report function: The system provides a visual representation of each device's power consumption percentage, total load curve, and safety status indicator. Generate historical reports to compare energy efficiency performance over different periods and provide optimization suggestions; If the system detects a potential risk, it will display a warning notification and recommend that the user adjust the priority and power limit.

8. The integrated control system for kitchen appliances based on dynamic power allocation according to claim 1, characterized in that: The system also includes a network integration module: Supports connection to smart home networks to synchronize external data such as power grid price signals and weather information; Based on external data, optimize power allocation strategies and automatically activate energy-saving mode during peak electricity price periods; It provides a remote control interface, allowing users to monitor and intervene in system operation in real time via mobile devices.

9. The integrated control system for kitchen appliances based on dynamic power allocation according to claim 8, characterized in that: The process of connecting the network integration module to the smart home network is as follows: Access to the smart home hub via standard protocols including Wi-Fi and Zigbee; Receive grid price signals and display real-time electricity prices in the user interaction module; If the electricity price exceeds the preset threshold, the energy-saving strategy of the dynamic allocation module will be automatically triggered. At the same time, weather data is integrated to prioritize the operation of cooling kitchen appliances during hot weather.

Images