Kitchen appliance integrated control system based on dynamic power distribution

Abstract

The invention relates to the technical field of kitchen appliance control, and discloses a kitchen appliance integrated control system based on dynamic power distribution, which comprises a power monitoring module, a load analysis module, a dynamic distribution module, a safety protection module, a user interaction module and a network integration module. The current, voltage and instantaneous power consumption value of each device are collected in real time through a power monitoring module, and whether a safe power interval is exceeded is judged; analyzing a total load state and a dynamic demand trend based on a load analysis module, and predicting a potential overload risk; the dynamic allocation module dynamically adjusts the power allocation proportion of key and non-key equipment in combination with a user priority rule; the safety protection module monitors in real time and automatically executes graded protection measures; and the user interaction module provides a graphical interface to support priority configuration and power upper limit setting so as to realize strategy closed-loop optimization.

Description

Technical Field

[0001] This invention relates to the field of kitchen appliance control technology, specifically to an integrated control system for kitchen appliances based on dynamic power distribution. Background Technology

[0002] With the development of technology and the improvement of people's living standards, the types of kitchen appliances are increasing day by day. Each kitchen appliance is equipped with an individual control system to control its working status.

[0003] Currently, due to the simultaneous operation of multiple high-power appliances in the kitchen environment, the fixed threshold mechanism equipped for dynamic power allocation of kitchen appliances cannot detect abnormal fluctuations in circuit load in real time. If the load fluctuation exceeds the safe range, it will cause circuit overload and equipment damage, and the continuity of the cooking process cannot be guaranteed.

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

[0005] To address the shortcomings of existing technologies, this invention provides an integrated control system for kitchen appliances based on dynamic power allocation, which solves the problems mentioned in the background technology, such as the inability of the fixed threshold mechanism to detect abnormal fluctuations in circuit load in real time and the inability to guarantee the continuity of the cooking process.

[0006] To achieve the above objectives, the present invention provides the following technical solution: an integrated control system for kitchen appliances based on dynamic power allocation, comprising: 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.

[0007] Preferably, the process of determining whether the preset safe power range is exceeded in the power monitoring module 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.

[0008] Preferably, 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 a preset ratio threshold is set, typically 0.8, it is considered a high-risk state, triggering the intervention of the dynamic allocation module.

[0009] Preferably, 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.

[0010] Preferably, 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.

[0011] Preferably, the process of automatically executing power-off and current-limiting protection measures in the safety protection module 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.

[0012] Preferably, 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.

[0013] Preferably, 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.

[0014] Preferably, 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.

[0015] Preferably, 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 such as 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.

[0016] Compared with the prior art, the present invention provides an integrated control system for kitchen appliances based on dynamic power allocation, which has the following beneficial effects: 1. In this invention, by setting up a power monitoring module, when dynamically allocating power to kitchen appliances, the invention ensures the clarity of multi-device collaborative operation by establishing safe power range thresholds and setting differentiated power consumption standards for different types of appliances. At the same time, the invention collects the current, voltage, and instantaneous power consumption values ​​of each device in real time, which can promptly detect whether the circuit has abnormal loads or overload risks, ensuring the safety of the kitchen appliance system and further reducing the probability of circuit failure.

[0017] 2. In this invention, by setting a dynamic allocation module, when scheduling the power of kitchen appliances, the system integrates the user-defined device priority rules and calculates the power allocation ratio between critical and non-critical devices in real time. This enables the system to dynamically adjust the power supply strategy according to actual needs, avoid excessive power consumption of non-critical devices, and automatically activate the energy-saving mode during peak load periods to ensure the continuous and stable operation of critical devices and improve energy utilization efficiency.

[0018] 3. In this invention, by setting up a safety protection and user interaction module, the circuit temperature and voltage fluctuation status are monitored in real time during the power distribution process, and current limiting and power-off protection are automatically executed in abnormal situations. At the same time, the graphical interface supports user-defined priorities and power limits, enabling the system to achieve human-machine collaborative optimization, reduce the risk of human operation errors, and further improve the intelligence and overall stability of system control. Attached Figure Description

[0019] Figure 1 This is a schematic diagram of the architecture of the kitchen appliance integrated control system based on dynamic power allocation of the present invention. Detailed Implementation

[0020] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] Please see Figure 1 The specific implementation of the kitchen appliance integrated control system based on dynamic power allocation is as follows: 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 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's carrying capacity threshold, a power allocation command is triggered. The dynamic allocation module receives power allocation instructions, integrates 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 power monitoring data and the output of the dynamic distribution module. It monitors circuit temperature, voltage fluctuations and grounding faults in real time through the status monitoring unit, and automatically performs power-off and current-limiting measures using the protection execution unit, and outputs protection status signals. The user interaction module receives protection status signals and outputs from the dynamic allocation module. It provides user input and display functions through a 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 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; The deviation between the current real-time power consumption and the safe power range is calculated using the dimensionless normalization formula: ; in, For normalized deviation values, Current real-time power consumption, in watts. This is the average value within the safe power range, in watts. , These are the upper and lower limits of the safe power range, respectively, in watts. , If a preset deviation threshold is set, typically 0.1, it is determined to be outside the safe range 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. 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 a preset ratio threshold is set, typically 0.8, it is considered a high-risk state, triggering the intervention of the dynamic allocation module. 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; The priority weights of calculated devices are given using a dimensional normalization formula: ; in, For device i, the normalized priority weight. Assign a raw priority score to device i, ranging from 1 to 10. The sum of the original priority scores for all devices, if Where w is the weight threshold, typically 0.05, then the device is determined to be of low priority; 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. 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. The process of automatically implementing power-off and current-limiting protection measures in the safety protection module is as follows: Real-time acquisition of circuit temperature sensor data and voltage fluctuation rate; The dimensionless formula is used to calculate the temperature safety factor: ; 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. like ,in If the threshold value is 0.9, a level 1 protection command will be generated, and current limiting measures will be implemented. 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. The diagnostic program is automatically started after a power outage, the fault log is recorded and pushed to the user interaction module; 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, and can also input and adjust the power limit value. Convert user-defined priority levels into weighting coefficients using a dimensional normalization formula: ; in, Score the original priority of device i. , , These are Boolean flags representing high, medium, and low priority levels, respectively. like ,in This is the priority rating threshold, with a typical value of 2, which prompts the user to adjust the priority. The priority rules are converted into weight coefficients, and the power limit configuration data is processed 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 and power limit settings; The graphical interface also includes real-time runtime reporting functionality: The system provides a visual representation of each device's power consumption percentage, total load curve, and safety status indicator. The energy efficiency score is calculated using the dimensional normalization formula: ; Where E represents the system energy efficiency score as a percentage. The average power consumption of device i is expressed in watts. The running time of device i, in hours. Total system power consumption, in watts. Total running time, in hours; like ,in This is the energy efficiency threshold percentage; a typical value is 70%, which provides optimization suggestions. 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. 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; The dimensionless normalization formula is used to calculate the electricity price response coefficient: ; in, This is the electricity price response coefficient. This is the peak electricity price, expressed in yuan / kWh. The current electricity price is expressed in yuan per kilowatt-hour. This is the off-peak electricity price, expressed in yuan / kWh. like Where r is the response coefficient threshold, with a typical value of 0.7, the energy-saving mode is automatically enabled; 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; 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 such as 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.

[0022] The operation steps of the kitchen appliance integrated control system based on dynamic power allocation are as follows: Step 1: Real-time power data acquisition and anomaly detection After the system starts up, the power monitoring module continuously collects the current, voltage and instantaneous power consumption data of each kitchen appliance through built-in sensors. This data is input into the processing unit in real time and compared with the preset safe power range. When the power consumption value is detected to exceed the safe range, the system immediately generates an early warning signal and assesses whether it is close to the critical threshold. This step ensures that abnormal conditions are quickly identified, providing a basis for subsequent analysis.

[0023] Step Two: Load Status Analysis and Risk Prediction After receiving power monitoring data, the load analysis module analyzes the current total load status in conjunction with historical operating modes. The system identifies peak load periods and predicts potential overload risks through time series analysis. When the prediction results show that the total load is close to or exceeds the circuit's carrying capacity, the system triggers a dynamic allocation command. This step emphasizes the grasp of dynamic demands to avoid sudden failures.

[0024] Step 3: Priority-driven dynamic power allocation Based on the load analysis output, the dynamic allocation module calls the priority rules set by the user. The system divides kitchen appliances into critical and non-critical categories, calculates the power reduction range of non-critical devices, and applies a proportional allocation algorithm to adjust the power supply ratio. Critical devices maintain full power operation, while non-critical devices are gradually reduced to energy-saving mode. The released power resources are redirected. This step realizes intelligent scheduling of power resources and maximizes energy utilization.

[0025] Step 4: Circuit safety monitoring and protection execution During power distribution, the safety protection module monitors circuit parameters in real time, including temperature, voltage fluctuations, and grounding faults. When an abnormality is detected, the system generates tiered protection commands: Level 1 commands execute current limiting measures, Level 2 commands trigger a system-wide power outage, and after the power outage, the diagnostic program is automatically started and the fault log is recorded. This step ensures operational safety and prevents equipment damage and safety accidents.

[0026] Step 5: User Interaction and Configuration Optimization The user interaction module provides a graphical interface that allows users to set device priorities and power limits. The system converts user configurations into weighting coefficients and integrates them into dynamic allocation decisions. It also supports scenario-based presets and one-click switching between different configurations. Real-time operation reports display power consumption percentages, load curves, and safety status, facilitating user monitoring and adjustments. This step enables human-machine collaboration and improves system controllability.

[0027] Step Six: External Data Integration and Strategy Optimization The network integration module connects to the smart home network and synchronizes external data such as power grid price signals and weather information. Based on electricity price fluctuations and high temperatures, the system automatically optimizes power allocation strategies. The remote control interface allows users to intervene in system operation via mobile devices, which expands the system's adaptability and enables environmentally responsive control.

[0028] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0029] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is 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.

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 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 a preset ratio threshold is set, typically 0.8, it is considered a high-risk state, triggering the intervention of the dynamic allocation module.

4. 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.

5. The integrated control system for kitchen appliances based on dynamic power allocation according to claim 4, 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.

6. 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.

7. 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.

8. The integrated control system for kitchen appliances based on dynamic power allocation according to claim 7, 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.

9. 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.

10. The integrated control system for kitchen appliances based on dynamic power allocation according to claim 9, 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 such as 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.

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