Hot water supply control method and system of dish washing machine integrated with heat pump

Abstract

The invention relates to a dish-washing machine hot water supply control method and system of an integrated heat pump, and belongs to the technical field of heat pump waste heat recovery management. The method comprises the steps that the waste heat source available state is recognized according to a dish washing machine operation signal, the mapping relation between waste heat recovery efficiency and hot water temperature is analyzed through a heat pump efficiency detection method, and a waste heat-hot water characteristic incidence matrix is constructed; when it is detected that the signal is disconnected, the constant liquid outlet temperature of a heat pump main loop is adjusted, when the operation signal is detected, heat pump energy consumption is controlled to conduct full-speed temperature rise, and the dish washing machine operation mode is selected; establishing a waste heat priority recovery model, and dynamically switching a waste heat priority mode and a mixed heat compensation mode according to a heat pump operation signal to obtain a hot water supply balance interval; and a heat pump hot water supply closed-loop control system is established, when it is detected that the liquid outlet temperature deviation exceeds a set environment temperature threshold value, self-adaptive correction is conducted on heat transmission through a waste heat recovery optimization algorithm, and waste heat-hot water cooperative compensation of the heat pump is controlled.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of heat pump waste heat recovery management, and particularly relates to a hot water supply control method and system for a dishwasher integrated with a heat pump. BACKGROUND

[0002] With the increasing trend of intelligence and energy saving of household appliances, the popularity of dishwashers in daily household and catering scenarios has significantly increased. A large amount of waste heat is generated during the long-term and high-frequency operation of the existing dishwasher, which mainly comes from the hot water circulation system during the heating and drying process. The traditional dishwasher relies on electric heating components or heat pump systems for direct heating, and does not fully utilize the waste heat generated during operation, resulting in high overall energy consumption. In addition, the traditional heat pump-assisted dishwasher has low heat regulation accuracy between different operating modes, and cannot achieve fine control according to the intensity and temperature changes of waste heat and hot water load dynamics, resulting in unstable hot water supply and low energy utilization efficiency.

[0003] In the prior art, research on waste heat recovery mainly focuses on single heat exchanger structure or static adjustment strategy, and lacks the ability to identify real-time characteristics of dishwasher operation. On the other hand, the heat supplement cooperation between the heat pump system and the waste heat source is usually based on fixed logic switching, and cannot dynamically optimize the heat pump energy consumption according to the transient operating signals of the dishwasher. The existing technology lacks a regulation method that can achieve flexible control between the disconnection of operating signals, the idle mode, and the full-speed warming-up stage. At the same time, the heating path based on the heat pump will have problems such as temperature difference fluctuation, sudden increase in energy consumption, and decrease in heat output efficiency under different working conditions, making it difficult for the traditional heat pump system to maintain stable outlet temperature under complex conditions of multiple dishwashing.

[0004] In addition, the existing hot water supply system mostly uses open-loop control or simple temperature feedback control method, which cannot form a comprehensive adjustment closed loop for the compressor start-stop, waste heat utilization rate, and heat flux transmission coefficient. In the case of insufficient waste heat utilization or large load fluctuation, the heat pump system often cannot compensate for the heat deviation in real time, resulting in unstable hot water supply temperature, affecting the washing quality and equipment life. At the same time, in the heat pump system involving multiple components, there is a lack of effective information interaction and autonomous control mechanism between components, making it difficult to achieve global energy efficiency optimization in multiple modes. Therefore, it is necessary to propose a hot water supply control method for a dishwasher integrated with a heat pump to achieve efficient waste heat recovery, dynamic optimization of heat pump energy consumption, and stable and efficient hot water supply control. SUMMARY

[0005] To solve the above problems in the prior art, the present application provides a hot water supply control method for a dishwasher integrated with a heat pump, The object of the present application can be achieved by the following technical solutions: S1: Obtain the dishwashing machine operation signal and hot water temperature data, identify the waste heat source available state according to the dishwashing machine operation signal, analyze the waste heat recovery efficiency and hot water temperature mapping relationship by the heat pump efficiency detection method, and construct the waste heat-hot water characteristic correlation matrix; S2: Combined with the waste heat-hot water characteristic correlation matrix, when the signal is detected to be disconnected, the hot pump main loop constant liquid outlet temperature is adjusted based on the liquid outlet temperature and the idle temperature setting parameter, when the operation signal is detected, the hot pump energy consumption is controlled to full speed heating according to the temperature difference between the liquid outlet temperature and the idle temperature setting, and the dishwashing machine operation mode is selected by detecting the dishwashing machine operation signal through the proportional integral algorithm; S3: According to the dishwashing machine waste heat source signal, a waste heat priority recovery model is established, the waste heat priority recovery model dynamically switches the waste heat priority mode and the mixed heat supplement mode according to the heat pump operation signal, and the energy supply deviation threshold of the waste heat priority mode and the mixed heat supplement mode is analyzed based on the heat balance scheduling algorithm, and the hot water supply balance interval is obtained; S4: Establish a closed-loop control system of the heat pump hot water supply, when the liquid outlet temperature deviation is detected to exceed the set environmental temperature threshold, trigger the compressor to stop or switch mode, and adaptively correct the heat transfer through the waste heat recovery optimization algorithm, and according to the heat pump energy consumption feedback control the waste heat-hot water collaborative compensation of the heat pump in the operation cycle.

[0006] Specifically, the method for obtaining the dishwashing machine operation signal and hot water temperature data is: obtaining the dishwashing machine operation instruction signal through the heat source signal acquisition interface, and periodically analyzing the hot water temperature of the heat pump water outlet and return water end through the heat pump efficiency detection method to obtain the hot water temperature data to identify the available state of the dishwashing machine waste heat source, and based on the available state of the dishwashing machine waste heat source, the waste heat recovery efficiency is associated with the hot water temperature.

[0007] Specifically, the dishwashing machine operation mode includes idle mode and working mode, the idle mode sets the liquid outlet temperature according to the idle temperature parameter on the panel, and controls the compressor operation through the proportional integral algorithm, when the heating demand reaches the configurable start threshold, the compressor start signal is sent to adjust heating and cooling; the working mode is based on the configurable compressor temperature difference to switch on and off the cycle, when the compressor is started, no adjustment is made, and the temperature is raised based on the main circuit heat pump heating signal.

[0008] Specifically, the construction method of the waste heat-hot water characteristic correlation matrix is: Based on the dishwashing machine operation signal, the hot water utilization rate of each waste heat source in the execution mode is analyzed, and the heat efficiency mapping value between the heat pump groups is calculated by the heat pump efficiency detection method according to the hot water utilization rate and the energy consumption index; The heat efficiency mapping value of the heat pump assembly is weighted and corrected in combination with the energy consumption characteristics of the heat pump assembly, a multi-dimensional waste heat-thermal water feature vector is extracted, the multi-dimensional feature vector is arranged in a matrix according to the correspondence between the assembly and the thermal water, and a waste heat-thermal water feature correlation matrix is generated.

[0009] Specifically, the proportional integral algorithm optimizes the heat water response time, the heat pump energy consumption coefficient and the heat weight as the optimization target based on the grouping target temperature difference optimization mechanism, dynamically adjusts the thermal water supply by selecting the operation mode of the dishwasher, and preferentially schedules the energy consumption distribution task of the high waste heat assembly to generate a thermal water supply distribution queue of the heat pump assembly.

[0010] Specifically, the waste heat-thermal water feature correlation matrix analyzes the change interval of the recoverable heat based on the available state of the waste heat source, and according to the change interval of the recoverable heat, when the heat pump operation signal changes, the energy supply deviation threshold and the adjustment compensation are judged as the heat pump thermal water supply closed loop control boundary condition, and the heat pump waste heat priority mode and the mixed heat supplement mode are dynamically selected.

[0011] Specifically, the construction method of the waste heat priority recovery model is: The response capability of the waste heat priority mode and the mixed heat supplement mode is analyzed by the assembly consensus algorithm to obtain the assembly energy consumption feedback, a distributed autonomous collaborative control mechanism is constructed based on the assembly energy consumption feedback to interact information and synchronize states between assemblies, and a dynamic weight of thermal efficiency is introduced to cooperatively optimize the global thermal supply balance constraint to form a multi-component autonomous control topology structure. In the distributed autonomous control process, the assembly execution state is corrected in real time through the distributed autonomous collaborative control mechanism, when it is detected that the thermal efficiency of the assembly deviates from the working temperature threshold, the global thermal balance control parameter is dynamically corrected, and the waste heat priority recovery model is constructed according to the thermal water supply load.

[0012] Specifically, the waste heat priority mode dynamically allocates low energy consumption thermal water input according to the assembly energy consumption state and the waste heat intensity, and performs heat neutralization of the assembly cluster by connecting an external waste heat source end, and the mixed heat supplement mode proportionally allocates external waste heat input and heat pump heat supplement input according to the heat pump main road heating capacity, waste heat availability and real-time thermal water demand load, synchronously supplies energy through frequency regulation of the heat pump compressor and heat flux regulation of the heat exchanger, and increases the heat pump heat supplement ratio based on the thermal balance scheduling algorithm when the waste heat intensity decreases or the thermal water load exceeds the waste heat energy supply range.

[0013] Specifically, the generation method of the thermal water supply balance interval is: Based on the real-time energy consumption data and hot water load data of each component in the hot water supply network, the energy supply deviation threshold of the components is calculated by the heat balance scheduling algorithm, and the energy utilization deviation range of the components is determined by combining the historical energy consumption curves of the components. The equilibrium critical point is calculated by a multi-component collaborative fitting algorithm. The equilibrium critical point is dynamically corrected based on the heat pump hot water supply closed-loop control system, the equilibrium range is adaptively updated, and a hot water supply equilibrium range is generated.

[0014] Specifically, the heat pump hot water supply closed-loop control system is based on temperature deviation. When the detected outlet temperature deviation exceeds the set ambient temperature threshold, an adjustment command is generated according to the deviation signal, and the waste heat supply and heat pump supplementary heating are coordinated and compensated through an adaptive weighting algorithm.

[0015] Specifically, the waste heat recovery optimization algorithm analyzes the waste heat energy recovery efficiency based on the real-time energy consumption data of the heat pump system, the temperature characteristics of the waste heat source, and the hot water load demand. It also calculates the waste heat utilization rate and transient heat compensation capability by performing multi-dimensional feature analysis on the waste heat temperature gradient and the heat flux of the heat exchanger.

[0016] Specifically, a dishwasher hot water supply control system with an integrated heat pump, used to perform the method as described in any one of claims 1-12, characterized in that it includes: Waste heat feature association module: acquire dishwasher operation signal and hot water temperature data, identify the available status of waste heat source based on the dishwasher operation signal, and analyze the mapping relationship between waste heat recovery efficiency and hot water temperature through heat pump efficiency detection method to construct waste heat-hot water feature association matrix; Heat pump mode discrimination module: Combining the waste heat-hot water feature correlation matrix, when a signal disconnection is detected, the heat pump main circuit is adjusted to maintain a constant outlet temperature based on the outlet temperature and idle set temperature parameters. When an operating signal is detected, the heat pump energy consumption is controlled to heat up at full speed according to the temperature difference between the outlet temperature and the idle set temperature. The dishwasher operating signal is detected by the proportional-integral algorithm, and the dishwasher operating mode is selected. Waste heat balance switching module: A waste heat priority recovery model is established based on the waste heat source signal of the dishwasher. The waste heat priority recovery model dynamically switches between waste heat priority mode and mixed supplementary heating mode according to the heat pump operation signal. Based on the heat balance scheduling algorithm, the energy supply deviation threshold of the waste heat priority mode and the mixed supplementary heating mode is analyzed to obtain the hot water supply balance range. Heat pump supply control module: Establish a closed-loop control system for heat pump hot water supply. When the outlet liquid temperature deviation is detected to exceed the set ambient temperature threshold, the compressor is triggered to stop or switch modes. The heat transfer is adaptively corrected through the waste heat recovery optimization algorithm. During the operation cycle, the waste heat and hot water collaborative compensation of the heat pump is controlled according to the heat pump energy consumption feedback.

[0017] The beneficial effects of this invention are as follows: The hot water supply control method for dishwashers with integrated heat pump proposed in this invention achieves dynamic coordination between waste heat recovery, heat pump supplementation and hot water output through deep fusion processing of dishwasher operation signals, waste heat source data and heat pump energy consumption parameters. Compared with the prior art, it has significant technical advantages and energy-saving effects.

[0018] A waste heat-hot water feature correlation matrix was constructed based on the dishwasher's operating status, achieving a precise mapping between waste heat source availability and hot water temperature characteristics. This matrix can dynamically reflect the quality, intensity, and recovery efficiency of waste heat at different washing stages, providing a realistic and quantifiable input for the heat pump's heating strategy. This allows waste heat to be utilized to the maximum extent, reducing the additional energy consumption caused by traditional electric heating or full-power operation of the heat pump.

[0019] A dynamic adjustment method for the heat pump based on temperature difference feedback is introduced between idle and operating modes, enabling flexible control of the heat pump outlet temperature. When the operating signal is disconnected, the system can automatically maintain a constant outlet temperature with low energy consumption; when rapid heating is required, the heat pump can respond at full speed based on the temperature difference, significantly improving the heating speed and hot water response speed. The addition of a proportional-integral algorithm makes pattern recognition and energy consumption adjustment more precise, improving the problems of lag and coarse adjustment in traditional dishwashers.

[0020] The constructed waste heat priority recovery model can adaptively switch between waste heat priority mode and mixed heat supplementation mode based on the heat pump operation signal. The system analyzes the energy supply deviation between the two modes through a heat balance scheduling algorithm, generates a hot water supply balance range, and intelligently selects the optimal heat path based on waste heat intensity, heat pump heat supplementation capacity, and hot water load, making the combined utilization of heat pump and waste heat energy more efficient and avoiding resource waste.

[0021] A closed-loop control system for heat pump hot water supply is introduced to comprehensively assess multiple parameters, including outlet temperature deviation, energy consumption changes, and waste heat recovery efficiency. When the system experiences temperature deviations, energy mismatches, or mode instability, it can automatically trigger compressor start / stop or mode switching, and utilize waste heat recovery optimization algorithms to adaptively correct heat transfer. Through an energy consumption feedback-driven heat pump-waste heat collaborative compensation mechanism, the hot water supply remains stable during long-term operation, improving system reliability and lifespan.

[0022] The heat pump system can optimize energy efficiency under various operating conditions: improving heating efficiency during high load periods, reducing unnecessary heat replenishment during low load periods, prioritizing waste heat utilization when waste heat intensity is high, and smoothly switching to the heat pump heat replenishment path when waste heat is insufficient. This overall technical solution significantly improves the dishwasher's comprehensive thermal efficiency, reduces energy costs, and ensures stable hot water output, providing a new path for achieving high-performance, energy-efficient dishwashers. Attached Figure Description

[0023] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0024] Figure 1 This is a schematic diagram of the structure of a dishwasher hot water supply control method and system with an integrated heat pump according to the present invention.

[0025] Figure 2 This is a schematic diagram illustrating the technical flow of a dishwasher hot water supply control method and system with an integrated heat pump according to the present invention.

[0026] Figure 3 This is a framework diagram of the hot water supply control method for an integrated heat pump dishwasher and the application of the available status of waste heat sources in the system, according to the present invention. Detailed Implementation

[0027] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description of the specific implementation methods, structures, features, and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided.

[0028] Please see Figure 1 A method for controlling the hot water supply of a dishwasher with an integrated heat pump: S1: Acquire dishwasher operation signal and hot water temperature data, identify the available status of waste heat source based on the dishwasher operation signal, and analyze the mapping relationship between waste heat recovery efficiency and hot water temperature through heat pump efficiency detection method to construct waste heat-hot water feature correlation matrix; S2: Combining the waste heat-hot water feature correlation matrix, when a signal disconnection is detected, the heat pump main circuit is adjusted to maintain a constant outlet temperature based on the outlet temperature and idle set temperature parameters. When an operating signal is detected, the heat pump energy consumption is controlled to achieve full-speed heating based on the temperature difference between the outlet temperature and the idle set temperature. The dishwasher operating signal is detected through a proportional-integral algorithm, and the dishwasher operating mode is selected. S3: Establish a waste heat priority recovery model based on the waste heat source signal of the dishwasher. The waste heat priority recovery model dynamically switches between waste heat priority mode and mixed supplementary heating mode according to the heat pump operation signal. Based on the heat balance scheduling algorithm, analyze the energy supply deviation threshold of the waste heat priority mode and the mixed supplementary heating mode to obtain the hot water supply balance range. S4: Establish a closed-loop control system for heat pump hot water supply. When the outlet liquid temperature deviation is detected to exceed the set ambient temperature threshold, the compressor is triggered to stop or switch modes. The heat transfer is adaptively corrected through the waste heat recovery optimization algorithm. During the operation cycle, the waste heat and hot water of the heat pump are coordinated and compensated according to the heat pump energy consumption feedback.

[0029] Specifically, the method for obtaining the dishwasher operation signal and hot water temperature data is as follows: the dishwasher operation command signal is obtained through the heat source signal acquisition interface, and the hot water temperature at the heat pump outlet and return ends is periodically analyzed through the heat pump efficiency detection method to obtain the hot water temperature data to identify the availability status of the dishwasher waste heat source, and the waste heat recovery efficiency is correlated with the hot water temperature based on the availability status of the dishwasher waste heat source.

[0030] Specifically, the dishwasher's operating modes include an idle mode and a working mode. In the idle mode, the outlet temperature is set according to the idle temperature parameter on the panel, and the compressor operation is controlled by a proportional-integral algorithm. When the heating demand reaches a configurable start threshold, a compressor start signal is sent to adjust heating and cooling. In the working mode, the machine cycles on and off based on a configurable compressor temperature difference. When the compressor is started, no adjustment is made, and the temperature is increased based on the main heat pump heating signal.

[0031] Specifically, the method for constructing the waste heat-hot water feature correlation matrix is ​​as follows: Based on the dishwasher's operating signal analysis, the hot water utilization rate of each waste heat source in the execution mode is analyzed, and the thermal efficiency mapping value between heat pump groups is calculated by heat pump efficiency detection method according to the hot water utilization rate and energy consumption index. Based on the energy consumption characteristics of the heat pump components, the thermal efficiency mapping values ​​between the heat pump groups are weighted and corrected, multi-dimensional waste heat-hot water feature vectors of the components are extracted, and the multi-dimensional feature vectors are arranged in a matrix according to the correspondence between the components and hot water to generate a waste heat-hot water feature correlation matrix.

[0032] In this embodiment, during the operation of the dishwasher, such as Figure 3 The system first acquires operating signals and outlet liquid temperature data to identify the availability of waste heat sources. The availability of waste heat sources is determined by the operating signals set on the dishwasher's main control board. The system reads the dishwasher's operating status in real time, including: power-on / power-off signals, heating status signals, start / stop signals of the drainage and spray motors, and cleaning program stage codes. This data serves as the basis for judging the current operating condition of the dishwasher and is used to analyze whether there is recyclable waste heat. A temperature sensor is also placed at the heat pump outlet to periodically sample the hot water temperature. Changes in the hot water temperature are used to determine the current heating, balancing, and cooling status of the heat pump, thus reflecting the waste heat load.

[0033] The dishwasher operation signal is correlated with the hot water temperature data: when the dishwasher is detected to have entered the heating program and the water spray pump is running, it is determined that the waste heat source is available; when the dishwasher is in the pre-wash, drying or standby state, it is determined that the waste heat source is unavailable; when the operation signal is suddenly interrupted and the temperature curve shows a natural downward trend, it is determined that the waste heat source has entered a natural decay state.

[0034] Based on the above judgment, the availability of waste heat is quantified into three state values: 0 = unavailable; 1 = available; 2 = decaying state, which are used as matrix input parameters.

[0035] Waste heat temperature gradient is calculated using the feature extraction module. , among which, T wh T is the waste heat end temperature. in Given the heat pump inlet temperature, the instantaneous heating efficiency is calculated using the heat pump efficiency detection method: , , Among them, Q out P inputs heat to the heat pump hp For heat pump energy consumption, then based on the waste heat intensity vector H={h1,h2,...,h n} and the heat pump outlet liquid temperature vector T={t1,t2,...,t n A correlation matrix was constructed to reflect the hot water utilization efficiency under different waste heat conditions. This matrix provides an accurate data foundation for subsequent heat pump energy consumption adjustment and pattern recognition.

[0036] During the heat pump operation phase, a proportional-integral algorithm is used to dynamically adjust energy consumption based on the temperature difference, where the adjustment amount u(t) is expressed as: , , in This indicates the deviation between the set temperature and the outlet temperature. If P I If the control input exceeds the threshold θ1, the system enters full-speed heating mode; if the deviation stabilizes within the tolerance range θ2, the system maintains constant temperature output. Furthermore, the system calculates the energy deviation between the waste heat priority mode and the mixed supplementary heating mode using a heat balance scheduling algorithm, and adjusts the waste heat input ratio accordingly. When the system enters waste heat priority mode; when When necessary, switch to hybrid heat replenishment mode to ensure the stability of heat pump-waste heat synergistic compensation and the continuity of hot water supply.

[0037] Specifically, the proportional-integral algorithm is based on a grouped target temperature difference optimization mechanism. It takes hot water response time, heat pump energy consumption coefficient and heat weight as optimization targets, dynamically adjusts the hot water supply by selecting the dishwasher operation mode, and prioritizes the energy consumption allocation task of high waste heat components to generate a hot water supply allocation queue for heat pump components.

[0038] Specifically, the waste heat-hot water feature correlation matrix analyzes the range of recoverable heat based on the available state of the waste heat source, and uses the range of recoverable heat as the boundary condition for the closed-loop control of the heat pump hot water supply when the heat pump operation signal changes to determine the energy supply deviation threshold and adjust the compensation amount, and dynamically selects the heat pump waste heat priority mode and the mixed heat supplement mode.

[0039] Specifically, the method for constructing the waste heat priority recovery model is as follows: The response capabilities of the waste heat priority mode and the hybrid heat replenishment mode scheduling are analyzed by the component consensus algorithm to obtain component energy consumption feedback. Based on the component energy consumption feedback, a distributed autonomous collaborative control mechanism is constructed to synchronize information interaction and status among components. Dynamic weights of thermal efficiency are introduced to collaboratively optimize the global heat supply balance constraints, forming a multi-component autonomous control topology. During the distributed autonomous control process, the component execution status is corrected in real time through the distributed autonomous collaborative control mechanism. When the component thermal efficiency is detected to deviate from the working set temperature threshold, the global thermal balance control parameters are dynamically corrected, and a waste heat priority recovery model is constructed based on the hot water supply load.

[0040] Specifically, the waste heat priority mode dynamically allocates low-energy hot water input based on the component energy consumption status and waste heat intensity, and performs heat neutralization of the component cluster by connecting to an external waste heat source. The hybrid heat supplementation mode proportionally allocates external waste heat input and heat pump heat supplementation input based on the heat pump main circuit heating capacity, waste heat availability rate, and real-time hot water demand load. It achieves synchronous energy supply of waste heat and heat supplementation through frequency adjustment of the heat pump compressor and heat flux adjustment of the heat exchanger. When a decrease in waste heat intensity or hot water load is detected to exceed the waste heat supply range, the proportion of heat pump heat supplementation is increased based on the heat balance scheduling algorithm.

[0041] In this embodiment, the overall system technology flow architecture is as follows: Figure 2 As shown, it includes a data acquisition module, a thermal feature analysis module, a waste heat recovery analysis module, a heat pump load prediction module, a heating cycle verification module, and a hot water supply control output module, forming a complete closed-loop hot water supply optimization chain of "data acquisition → feature extraction → waste heat identification → load prediction → cycle verification → control output".

[0042] First, the system continuously collects thermal status data during dishwasher operation via built-in sensors and a device bus, including heat pump inlet water temperature, heat pump outlet water temperature, waste heat source temperature, condenser temperature distribution, washing chamber temperature curve, power consumption, and inlet and outlet water flow signals. The data preprocessing engine performs time synchronization, missing point compensation, noise suppression, heat source labeling, and operating condition tag reconstruction on the collected data stream. It also establishes a cross-cycle alignment index based on the dishwasher's operating stages (pre-rinse, main wash, rinse, and dry) to ensure that thermal data remains traceable across different tasks.

[0043] Subsequently, the thermal feature analysis module, based on multi-scale heat source decomposition technology, performs in-depth processing of the temperature field changes, heat pump energy conversion efficiency, and waste heat release patterns throughout the dishwasher's operation. This module utilizes segmented modeling technology based on thermal response curves to extract key features such as transient temperature rise rate, steady-state temperature difference, heat pump compressor frequency response, and condenser heat exchange efficiency. It then synchronously matches these thermal features with specific washing conditions to form a structured set of thermal features.

[0044] The waste heat recovery analysis module fuses the collected temperature field characteristics and energy consumption characteristics, and identifies the intensity, stability, and contribution of the current waste heat through the waste heat availability judgment engine. The module analyzes the temperature rise trajectory of the washing chamber and drainage area, the waste heat release curve of sewage, heat return pulses, and other features to generate a waste heat-load correlation vector that can be used for recovery strategy decision-making, and distinguishes three types of waste heat scenarios: those that can be directly utilized, those that require secondary enhancement, and those that cannot be utilized.

[0045] In the heat pump load prediction phase, the system constructs a heat pump energy consumption demand prediction model based on time-series characteristics and thermodynamic correlation vectors. This model uses a lightweight attention mechanism to perform multi-dimensional fusion of thermodynamic changes, waste heat characteristics, dishwasher task status, and user-set temperature to predict the heat pump load level within the future time window, including the target outlet water temperature, heat replenishment demand, energy consumption trend, and operating frequency change trajectory, thereby planning the heat pump operating mode in advance.

[0046] Subsequently, the heating cycle verification module constructs a heating cycle knowledge graph based on the heat pump thermal cycle and the dishwasher's operating rhythm. The graph includes temperature difference control nodes, heat pump dynamic efficiency nodes, waste heat contribution nodes, and coupling relationship edges for the washing stage. The system verifies the predicted results against the actual hot water recovery capacity through the cycle verification engine, determines whether the current strategy meets the washing stage requirements, and identifies situations such as insufficient heating, overheat compensation, or waste heat deviation, and generates cycle verification results.

[0047] When the heating cycle verification and load prediction results trigger a threshold difference, the hot water supply control output module initiates a closed-loop control process: if the waste heat is sufficient and stable, the system enters the waste heat priority mode, adjusting the three-way valve and water pump to make the waste heat recovery unit the main heat source; if the waste heat is insufficient, it enters the mixed supplementary heating mode, starting the heat pump to supplement heat according to the heat gap and dynamically adjusting the supplementary heating ratio; when there is a continuous high load or the temperature difference deviation is too large, the system enters the heat pump dominant mode to quickly increase the temperature to ensure washing quality.

[0048] Throughout the entire operating cycle, the system maintains dynamic monitoring of waste heat quality, heat pump efficiency, temperature difference deviation, and energy consumption changes, and writes the prediction error, mode switching data, and periodic verification results back to the control strategy library. Through incremental learning, the stability and accuracy of the hot water control strategy are continuously improved.

[0049] Through the above-mentioned technical process, this embodiment realizes an intelligent hot water supply system that integrates data acquisition, waste heat analysis, heat pump load prediction, periodic verification and dynamic control, which can ensure efficient, stable and energy-saving hot water supply under various complex washing conditions.

[0050] Specifically, the method for generating the hot water supply balance range is as follows: Based on the real-time energy consumption data and hot water load data of each component in the hot water supply network, the energy supply deviation threshold of the components is calculated by the heat balance scheduling algorithm, and the energy utilization deviation range of the components is determined by combining the historical energy consumption curves of the components. The equilibrium critical point is calculated by a multi-component collaborative fitting algorithm. The equilibrium critical point is dynamically corrected based on the heat pump hot water supply closed-loop control system, the equilibrium range is adaptively updated, and a hot water supply equilibrium range is generated.

[0051] Specifically, the heat pump hot water supply closed-loop control system is based on temperature deviation. When the detected outlet temperature deviation exceeds the set ambient temperature threshold, an adjustment command is generated according to the deviation signal, and the waste heat supply and heat pump supplementary heating are coordinated and compensated through an adaptive weighting algorithm.

[0052] Specifically, the waste heat recovery optimization algorithm analyzes the waste heat energy recovery efficiency based on the real-time energy consumption data of the heat pump system, the temperature characteristics of the waste heat source, and the hot water load demand. It also calculates the waste heat utilization rate and transient heat compensation capability by performing multi-dimensional feature analysis on the waste heat temperature gradient and the heat flux of the heat exchanger.

[0053] Specifically, a dishwasher hot water supply control system with an integrated heat pump, used to perform the method as described in any one of claims 1-12, characterized in that it includes: Waste heat feature association module: acquire dishwasher operation signal and hot water temperature data, identify the available status of waste heat source based on the dishwasher operation signal, and analyze the mapping relationship between waste heat recovery efficiency and hot water temperature through heat pump efficiency detection method to construct waste heat-hot water feature association matrix; Heat pump mode discrimination module: Combining the waste heat-hot water feature correlation matrix, when a signal disconnection is detected, the heat pump main circuit is adjusted to maintain a constant outlet temperature based on the outlet temperature and idle set temperature parameters. When an operating signal is detected, the heat pump energy consumption is controlled to heat up at full speed according to the temperature difference between the outlet temperature and the idle set temperature. The dishwasher operating signal is detected by the proportional-integral algorithm, and the dishwasher operating mode is selected. Waste heat balance switching module: A waste heat priority recovery model is established based on the waste heat source signal of the dishwasher. The waste heat priority recovery model dynamically switches between waste heat priority mode and mixed supplementary heating mode according to the heat pump operation signal. Based on the heat balance scheduling algorithm, the energy supply deviation threshold of the waste heat priority mode and the mixed supplementary heating mode is analyzed to obtain the hot water supply balance range. Heat pump supply control module: Establish a closed-loop control system for heat pump hot water supply. When the outlet liquid temperature deviation is detected to exceed the set ambient temperature threshold, the compressor is triggered to stop or switch modes. The heat transfer is adaptively corrected through the waste heat recovery optimization algorithm. During the operation cycle, the waste heat and hot water collaborative compensation of the heat pump is controlled according to the heat pump energy consumption feedback.

[0054] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A method for controlling the hot water supply of a dishwasher with an integrated heat pump, characterized in that, include: S1: Acquire dishwasher operation signal and hot water temperature data, identify the available status of waste heat source based on the dishwasher operation signal, and analyze the mapping relationship between waste heat recovery efficiency and hot water temperature through heat pump efficiency detection method to construct waste heat-hot water feature correlation matrix; S2: Combining the waste heat-hot water feature correlation matrix, when a signal disconnection is detected, the heat pump main circuit is adjusted to maintain a constant outlet temperature based on the outlet temperature and idle set temperature parameters. When an operating signal is detected, the heat pump energy consumption is controlled to achieve full-speed heating based on the temperature difference between the outlet temperature and the idle set temperature. The dishwasher operating signal is detected through a proportional-integral algorithm, and the dishwasher operating mode is selected. S3: Establish a waste heat priority recovery model based on the waste heat source signal of the dishwasher. The waste heat priority recovery model dynamically switches between waste heat priority mode and mixed supplementary heating mode according to the heat pump operation signal. Based on the heat balance scheduling algorithm, analyze the energy supply deviation threshold of the waste heat priority mode and the mixed supplementary heating mode to obtain the hot water supply balance range. S4: Establish a closed-loop control system for heat pump hot water supply. When the outlet liquid temperature deviation is detected to exceed the set ambient temperature threshold, the compressor is triggered to stop or switch modes. The heat transfer is adaptively corrected through the waste heat recovery optimization algorithm. During the operation cycle, the waste heat and hot water of the heat pump are coordinated and compensated according to the heat pump energy consumption feedback.

2. The method according to claim 1, characterized in that, The method for obtaining the dishwasher operation signal and hot water temperature data is as follows: the dishwasher operation command signal is obtained through the heat source signal acquisition interface, and the hot water temperature at the heat pump outlet and return ends is periodically analyzed through the heat pump efficiency detection method to obtain the hot water temperature data to identify the availability status of the dishwasher waste heat source, and the waste heat recovery efficiency is correlated with the hot water temperature based on the availability status of the dishwasher waste heat source.

3. The method according to claim 1, characterized in that, The dishwasher's operating modes include an idle mode and a working mode. In the idle mode, the liquid outlet temperature is set according to the idle temperature parameter on the panel, and the compressor operation is controlled by a proportional-integral algorithm. When the heating demand reaches a configurable start threshold, a compressor start signal is sent to adjust heating and cooling. The operating mode is based on a configurable compressor temperature difference for on / off cycles. When the compressor is started, no adjustment is made, and the temperature is increased based on the main heat pump heating signal.

4. The method according to claim 1, characterized in that, The method for constructing the waste heat-hot water feature correlation matrix is ​​as follows: Based on the dishwasher's operating signal analysis, the hot water utilization rate of each waste heat source in the execution mode is analyzed, and the thermal efficiency mapping value between heat pump groups is calculated by heat pump efficiency detection method according to the hot water utilization rate and energy consumption index. Based on the energy consumption characteristics of the heat pump components, the thermal efficiency mapping values ​​between the heat pump groups are weighted and corrected, multi-dimensional waste heat-hot water feature vectors of the components are extracted, and the multi-dimensional feature vectors are arranged in a matrix according to the correspondence between the components and hot water to generate a waste heat-hot water feature correlation matrix.

5. The method according to claim 2, characterized in that, The proportional-integral algorithm is based on a grouped target temperature difference optimization mechanism. It takes hot water response time, heat pump energy consumption coefficient and heat weight as optimization targets, dynamically adjusts hot water supply by selecting dishwasher operation mode, and prioritizes the energy consumption allocation task of high waste heat components to generate a hot water supply allocation queue for heat pump components.

6. The method according to claim 5, characterized in that, The waste heat-hot water feature correlation matrix analyzes the range of recoverable heat based on the available state of the waste heat source, and uses the range of recoverable heat as the boundary condition for the closed-loop control of the heat pump hot water supply when the heat pump operation signal changes to determine the energy supply deviation threshold and adjust the compensation amount, and dynamically selects the heat pump waste heat priority mode and the mixed heat supplementation mode.

7. The method according to claim 4, characterized in that, The method for constructing the waste heat priority recovery model is as follows: The response capabilities of the waste heat priority mode and the hybrid heat replenishment mode scheduling are analyzed by the component consensus algorithm to obtain component energy consumption feedback. Based on the component energy consumption feedback, a distributed autonomous collaborative control mechanism is constructed to synchronize information interaction and status among components. Dynamic weights of thermal efficiency are introduced to collaboratively optimize the global heat supply balance constraints, forming a multi-component autonomous control topology. During the distributed autonomous control process, the component execution status is corrected in real time through the distributed autonomous collaborative control mechanism. When the component thermal efficiency is detected to deviate from the working set temperature threshold, the global thermal balance control parameters are dynamically corrected, and a waste heat priority recovery model is constructed based on the hot water supply load.

8. The method according to claim 2, characterized in that, The waste heat priority mode dynamically allocates low-energy hot water input based on the component energy consumption status and waste heat intensity, and performs heat neutralization of the component cluster by connecting to an external waste heat source. The hybrid heat supplementation mode proportionally allocates external waste heat input and heat pump heat supplementation input based on the heat pump main circuit heating capacity, waste heat availability rate, and real-time hot water demand load. It achieves synchronous energy supply of waste heat and heat supplementation through frequency adjustment of the heat pump compressor and heat flux adjustment of the heat exchanger. When a decrease in waste heat intensity or hot water load is detected to exceed the waste heat supply range, the proportion of heat pump heat supplementation is increased based on the heat balance scheduling algorithm.

9. The method according to claim 4, characterized in that, The method for generating the hot water supply balance zone is as follows: Based on the real-time energy consumption data and hot water load data of each component in the hot water supply network, the energy supply deviation threshold of the components is calculated by the heat balance scheduling algorithm, and the energy utilization deviation range of the components is determined by combining the historical energy consumption curves of the components. The equilibrium critical point is calculated by a multi-component collaborative fitting algorithm. The equilibrium critical point is dynamically corrected based on the heat pump hot water supply closed-loop control system, the equilibrium range is adaptively updated, and a hot water supply equilibrium range is generated.

10. The method according to claim 4, characterized in that, The heat pump hot water supply closed-loop control system is based on temperature deviation. When the detected outlet temperature deviation exceeds the set ambient temperature threshold, an adjustment command is generated according to the deviation signal. The adaptive weighting algorithm is used to achieve coordinated compensation between waste heat supply and heat pump heat replenishment.

11. The method according to claim 7, characterized in that, The waste heat recovery optimization algorithm analyzes the waste heat energy recovery efficiency based on the real-time energy consumption data of the heat pump system, the temperature characteristics of the waste heat source, and the hot water load demand. It also calculates the waste heat utilization rate and transient heat compensation capability by performing multi-dimensional feature analysis on the waste heat temperature gradient and the heat flux of the heat exchanger.

12. A dishwasher hot water supply control system with an integrated heat pump, for performing the method as described in any one of claims 1-12, characterized in that, include: Waste heat feature association module: acquire dishwasher operation signal and hot water temperature data, identify the available status of waste heat source based on the dishwasher operation signal, and analyze the mapping relationship between waste heat recovery efficiency and hot water temperature through heat pump efficiency detection method to construct waste heat-hot water feature association matrix; Heat pump mode discrimination module: Combining the waste heat-hot water feature correlation matrix, when a signal disconnection is detected, the heat pump main circuit is adjusted to maintain a constant outlet temperature based on the outlet temperature and idle set temperature parameters. When an operating signal is detected, the heat pump energy consumption is controlled to heat up at full speed according to the temperature difference between the outlet temperature and the idle set temperature. The dishwasher operating signal is detected by the proportional-integral algorithm, and the dishwasher operating mode is selected. Waste heat balance switching module: A waste heat priority recovery model is established based on the waste heat source signal of the dishwasher. The waste heat priority recovery model dynamically switches between waste heat priority mode and mixed supplementary heating mode according to the heat pump operation signal. Based on the heat balance scheduling algorithm, the energy supply deviation threshold of the waste heat priority mode and the mixed supplementary heating mode is analyzed to obtain the hot water supply balance range. Heat pump supply control module: Establish a closed-loop control system for heat pump hot water supply. When the outlet liquid temperature deviation is detected to exceed the set ambient temperature threshold, the compressor is triggered to stop or switch modes. The heat transfer is adaptively corrected through the waste heat recovery optimization algorithm. During the operation cycle, the waste heat and hot water collaborative compensation of the heat pump is controlled according to the heat pump energy consumption feedback.

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