5120 results about "Heat pump" patented technology

The invention discloses a multi-sensor fusion heat pump full life cycle AI maintenance early warning system, and relates to the technical field of new energy utilization, and the early warning system comprises a data collection module which obtains operation parameters in a heat pump full life cycle based on a sensor array, and constructs a data set after preprocessing the parameters; the operation parameters comprise temperature, pressure, flow and micro vibration; the data fusion module is used for extracting trend correlation characteristics and parameter coupling characteristics from temperature, pressure and flow parameters by adopting a dynamic sliding window adaptive to a working condition, and preserving core nonlinear information through KPCA dimension reduction; the micro-vibration signal extraction comprises frequency domain and time domain features. According to the method, features are extracted through a working condition adaptive dynamic sliding window, then through cross-space mapping and a life cycle-working condition double-attention mechanism, the analysis and early warning module depends on a core feature mapping library and a two-dimensional dynamic baseline, through instantaneous and accumulated deviation double judgment, abnormal accurate recognition and stage division are achieved, and early warning perspectiveness is high.

A heat pump system for a vehicle may efficiently adjust the temperature of heating elements by using a chiller where a refrigerant and a coolant exchange heat. At the same time, the heat pump system may efficiently perform cooling and heating of a rear seat by using a rear heating, ventilation, and air conditioning (HVAC) module provided with a heat-exchanger.

The invention provides a heat storage heat pump system control method based on a physical information neural network, and belongs to the technical field of heat storage pump system intelligent control. Aiming at the problems that in the prior art, an algorithm is difficult to adapt to dynamic energy consumption requirements, engineering application of a model is difficult due to building space heterogeneity, high-order RC model prediction credibility is weak, engineering feasibility is poor and the like, a solution combining a physical information sequence to sequence neural network technology and a finite-state machine control strategy is provided. On the model level, a 2R2C resistance-capacitance RC model of building temperature change is established, and then a PI-Seq2seq prediction model is proposed based on the physical model. On the control flow optimization level, on the basis of an industrial and commercial time-of-use electricity price policy, an FSM control model is designed, a system state set is defined, parameters and a transfer function are input, and a control rule is constructed in combination with the working period of a building heat pump and the characteristics of a heat storage tank. And finally, energy consumption cost optimization and indoor temperature stabilization under the peak-valley electricity price are realized.

A heat pump system for a vehicle may include an ejector configured to increase the pressure of the introduced refrigerant and discharge the refrigerant with the increased pressure to increase the pressure and flow amount of the refrigerant, thereby being capable of decreasing the refrigerant load of the compressor by reducing the compression ratio of the compressor, and reducing the cooling load and improving the cooling performance.

An embodiment heat pump system of a vehicle includes a first cooling device including an electrical component and a first line for circulating a coolant, a second cooling device including a battery module and a second line for circulating the coolant, a HVAC module connected through a refrigerant line and internally provided with an opening / closing door that adjusts a selective flow of ambient air according to a cooling, heating, or heating and dehumidifying mode of a vehicle interior, a heat-exchanger connected to the internal condenser through the refrigerant line, a first expansion valve on the refrigerant line and connecting the heat-exchanger and the evaporator, a compressor connected between the evaporator and the internal condenser through the refrigerant line, an accumulator on the refrigerant line between the evaporator and the compressor, a chiller, a second expansion valve, a third expansion valve, and a second connection line.

The invention discloses a heat pump system state anomaly detection method based on a depth auto-encoder, and the method comprises the steps: collecting compressor data, and carrying out the standardization processing to construct a multi-dimensional time sequence; a spatial-temporal feature extraction depth auto-encoder with a thermodynamic coupling attention mechanism is constructed, coupling attention is utilized to calculate physical parameter coupling strength weights to extract spatial features, time features are extracted in combination with a long and short-term memory network, and normal state data are reconstructed and predicted through a decoder after fusion; residual vectors of predicted normal state data and original data are calculated, and a weighted mahalanobis distance is calculated by using a covariance matrix to generate an abnormal score; and constructing a sliding probability distribution model based on historical normal data, calculating a current score occurrence probability, and comparing the current score occurrence probability with a preset threshold to output an anomaly detection result. According to the method, a multi-physical parameter space coupling relationship and a time evolution rule are captured through a thermodynamic coupling attention mechanism, and the anomaly detection accuracy and robustness are improved.

The invention discloses a pure electric vehicle heat pump type whole vehicle thermal management system and method, and relates to the technical field of new energy vehicle thermal management, and the method comprises the following steps: constructing a combined twin system of thermal fluid, structural vibration and acoustic fluctuation, collecting pressure waves and vibration phases by using an array sensor, forming a steady state baseline spectrum and a transient state baseline spectrum, and calculating the temperature of the steady state baseline spectrum and the transient state baseline spectrum; and a unified reference is established. According to the method, a combined twinborn system of thermal fluid, structural vibration and acoustic fluctuation is constructed, the dynamic characteristics of pulsating waves are accurately monitored, and instability early warning is carried out by using a phase locking tracking method. Through pipeline topology reconstruction and segmented damping link design, a self-adaptive pulsation buffer zone is introduced, and pulsation energy is effectively absorbed. And in combination with a multi-target control law and a time reflection mirror cooperative regulation strategy, refrigerant flow is accurately controlled, pulsation energy is actively counteracted, and stable operation of the system is guaranteed. Through the innovative design, the stability of a heat management loop is improved, the fault risk caused by pulsation is reduced, and the cooling efficiency and safety are improved.

The invention discloses a buried pipe heat pump system optimization method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining soil temperature data of a current buried pipe heat pump system in an operation cycle; dynamically correcting the heat exchange capacity of the current buried pipe heat pump system according to the soil temperature data to obtain actual heat exchange capacity data; the buried pipe distribution of the current buried pipe heat pump system is optimized and adjusted based on the actual heat exchange capacity data until a target buried pipe layout scheme capable of meeting the real-time heat exchange requirement is obtained; real environment parameter support is provided for dynamically correcting the heat exchange capacity by obtaining soil temperature data of an operation cycle; actual heat exchange capacity data are obtained through correction, and the problem that traditional fixed value evaluation is inaccurate is solved; and then the distribution of the buried pipes is optimized on the basis of the actual heat exchange capacity, so that the layout is accurately matched with the real-time heat exchange requirement, and finally the heat exchange efficiency of the system and the dynamic adaptability to the real-time requirement are improved.

The invention relates to the technical field of ground source heat pumps, and discloses a ground source heat pump buried pipe zoning layout and cold and heat balance control method which comprises the following steps that the current three-dimensional ground temperature field state of the area where a ground source heat pump buried pipe is located is obtained; predicting a future state sequence of the ground temperature field under different control strategies in a future prediction time domain; solving to obtain an optimal control sequence based on a multi-objective optimization function which aims at minimizing the comprehensive operation cost of the system in the prediction time domain; the multi-objective optimization function at least comprises an energy consumption item representing system short-term operation energy consumption and a balance item representing a ground temperature long-term balance state; and executing the first control action in the optimal control sequence. The prediction model constructed by the invention can combine a physical rule with a data residual continuously learned from actual operation, and ensures that prediction information on which a control decision depends always keeps high fidelity in long-term operation of the system.

The invention discloses a water energy accumulator and ground source heat pump combined control method, relates to the technical field of building environment and equipment engineering, accurately captures a time sequence change rule of a building cold load based on the load prediction capability of a time convolution network, overcomes the defect that a traditional method is insufficient in response to sudden fluctuation, and improves the control efficiency. The system can plan an energy storage strategy in advance; an electricity price-load change rate sensitivity index is introduced, and through an adaptive weight adjustment mechanism, economic operation and load tracking requirements are dynamically balanced, so that strategy stiffness caused by fixed priorities is avoided, and the utilization efficiency of time-of-use electricity price signals is remarkably improved; according to the joint optimization design of the mixed integer linear programming model, the equipment operation constraint and the cost target are comprehensively considered, the collaborative decision of the energy accumulator charging and discharging strategy and the heat pump frequency setting is realized, and the direct energy supply dependence in the midday high electricity price period is effectively reduced.

The invention discloses a rotating wheel dehumidification system operation control method and system. The dehumidification system comprises a dehumidification rotating wheel, a treatment air circulation unit arranged on the treatment side of the dehumidification rotating wheel and a regeneration air circulation unit arranged on the regeneration side of the dehumidification rotating wheel. The regenerated air circulating unit comprises an air heat exchanger, an electric heater and a heat pump heater; the heat pump heater comprises an evaporator, a condenser and a compressor; the control method comprises the steps that the temperature of regeneration air entering the dehumidification rotating wheel is detected to obtain the regeneration temperature; according to the regeneration temperature and a preset regeneration temperature threshold value, the heating power of the electric heater is dynamically adjusted, and the heating power is larger than or equal to zero and smaller than or equal to rated power. According to the scheme, regeneration exhaust heat can be recycled to the maximum extent, the energy efficiency ratio of the system is remarkably increased, dependence on a high-energy-consumption electric heater is reduced, the operation cost is saved, the regeneration temperature is dynamically controlled, and stable operation under different working conditions is ensured.

The invention relates to the technical field of immersed temperature control and thermal runaway prevention of a power battery of a new energy automobile. The technical problems to be solved are clearly reflected that the non-uniform heat dissipation and spontaneous combustion of the power battery are two technical problems of a new energy automobile, and the technology provided by the invention can enable the heat dissipation of the power battery to be good and prevent spontaneous combustion. The technical scheme for solving the problem is characterized in that a buffer material is used for protecting the bottom of a battery pack, a circulating temperature control system is filled with fluorinated liquid, elements such as battery cells in the battery pack are soaked in the fluorinated liquid, and according to the temperature requirement of the battery cells, the fluorinated liquid exchanges heat with a heat pump system, a heater and a driving motor, so that the battery pack is heated. The fluorinated liquid is recycled to raise or lower the temperature of elements such as the battery pack. When the battery cell is abnormally high in temperature or thermal runaway, the battery cell is extinguished and cooled by means of quick discharge, water injection into the battery pack and the like. The device is used for heating or circularly cooling elements such as a power battery and preventing spontaneous combustion of a power battery pack.

The present application relates to the technical field of air conditioners, and particularly relates to an air conditioner control method and device, a multi-connected air conditioner and a storage medium, the present application determines the target heat recovery mode of the multi-connected air conditioner by judging the water tank temperature of the hot water tank, the heating energy demand and the total energy demand of each air conditioner indoor unit obtained when the multi-connected air conditioner simultaneously exists refrigeration and heating water demand, and then adjusts the communication state of the reversing device and the throttling element according to the target heat recovery mode, so as to achieve the purpose of simultaneously operating refrigeration and heating water by one heat pump system, and heat the water tank by the waste heat of air conditioner refrigeration, thereby avoiding the technical problem that the heating and heating water in the prior art multi-connected air conditioner are not simultaneously performed, and improving the use experience of the user.

The invention discloses a heat pump waste heat recovery cooperative heat supply method and system, and relates to the technical field of intelligent heat supply control, and the method comprises the steps: collecting environment data and heat pump operation data through a sensor, and carrying out the data preprocessing; modeling the operation state of the heat pump system by using a gradient lifting tree algorithm, constructing a heat pump load prediction model, and outputting load prediction; in combination with the load prediction result and the heat pump operation data, a collaborative heat supply strategy is obtained through an optimization algorithm; and waste heat recovery scheduling is carried out according to the load prediction result and the current waste heat recovery condition. According to the method, the accuracy and the real-time performance of load prediction can be remarkably improved, heat source configuration and heat supply requirements are highly matched, the waste heat utilization rate is improved to the maximum extent, power consumption is reduced, meanwhile, the indoor comfort degree and the system operation stability are guaranteed, finally, the operation cost is remarkably reduced, and the service life of equipment is prolonged.

The invention discloses an AI-based variable frequency heat pump control method and a control system thereof. The method comprises the following steps: S1, data acquisition; s2, data preprocessing; heat demand load prediction and operation parameter dynamic optimization are achieved through the AI model, the response speed of the environment temperature and heat demand changes is effectively increased, the parameter matching precision is effectively improved, the problems that traditional control response is lagged, and adaptability is poor are effectively solved, and the control accuracy is improved. The energy consumption of the system can be reduced under complex working conditions such as extreme temperature and sudden load change through a reinforcement learning algorithm, and the self-adaptive energy-saving capability of a multi-element scene is remarkably improved; meanwhile, based on a fault diagnosis scheme of a CNN and Transform fusion model, the fault diagnosis accuracy is effectively improved, the false alarm rate is effectively reduced, the defects of traditional threshold judgment are overcome, and in addition, the method can adapt to working condition changes and equipment aging characteristics for a long time in cooperation with model self-learning and parameter online updating functions.

The utility model provides a peak-shaving steam supply system for deep waste heat utilization of a thermoelectric unit, which deeply recovers cold end waste heat and flue gas waste heat of a cogeneration unit, is coupled with a two-stage compression heat pump, extracts waste heat to heat demineralized water, and serves as a primary heat source for supplying industrial steam, so that the waste heat participates in external heat supply; the superheater utilizes the generating capacity of the unit to enable industrial steam to reach steam supply parameters, the waste heat of the unit and the generating capacity are combined for external steam supply, the circulating heat efficiency is improved, the steam supply capacity is improved, meanwhile, the on-grid electricity is reduced, thermoelectric decoupling is achieved, the unit adjusting operation interval is expanded, the operation cost and pollutant emission are reduced, and peak regulation or spot transaction earnings are improved. And a clean, low-carbon, flexible, efficient, economical and energy-saving combined heat and power generation system is constructed.

The invention discloses a heat pump cold and hot cycle control system based on an intelligent AI, and relates to the technical field of heat pump control, and the system comprises a heat pump system digital twinborn body module which obtains the historical operation data of a heat pump, analyzes the multi-dimensional characteristics of the heat pump under a specific working condition, couples a heat pump mechanism model, and builds a virtual simulation heat pump digital twinborn body; the dynamic load prediction curve module is used for acquiring real-time operation data of the heat pump, introducing an environmental factor as an external dynamic disturbance variable and generating a dynamic load prediction curve of the heat pump; the heat pump system optimal operation mode module is used for generating a user personality portrait, integrating a heat pump load prediction curve, real-time electricity price information and an equipment health state evaluation index, and substituting the user personality portrait, the heat pump load prediction curve, the real-time electricity price information and the equipment health state evaluation index into the virtual simulation heat pump digital twin body to obtain a heat pump optimal operation mode; and the global optimal control instruction set module is used for generating a heat pump global optimal control instruction set by taking the heat pump comprehensive energy efficiency ratio and the user comfort as collaborative optimization targets and utilizing a multi-target decision algorithm. The comprehensive energy efficiency of the system is improved.

The invention relates to the technical field of ground source heat pump control, in particular to an intelligent cooperative control system for a ground source heat pump system and building energy management. The method comprises the steps that a data collecting and preprocessing unit collects multiple types of data in real time and preprocesses the data to form system state vectors; the load and power generation prediction unit predicts future cooling and heating load and photovoltaic power generation power of the building through a machine learning regression model and a time sequence prediction model; the operation optimization unit generates an optimal operation strategy of the ground source heat pump based on a depth deterministic strategy gradient algorithm; and the multi-source energy coordinated control unit realizes multi-device coordinated control through multi-target mixed integer linear programming. Through combination of prediction data and an optimization algorithm, a dynamic matching relation between load fluctuation and energy supply is fully considered, and the problems of soil heat imbalance and unstable comprehensive energy efficiency ratio of the ground source heat pump system in a traditional fixed parameter operation mode are solved.

The heat management system comprises a heat pump unit for providing refrigerating capacity or heating capacity, a liquid circulation unit and a power distribution circulation unit. The liquid circulation unit comprises a liquid circulation pipeline, and a liquid pump, a cell heat exchange plate, a first tee joint, a second tee joint and a heat exchanger which are sequentially arranged on the liquid circulation pipeline. The liquid pump drives the heat adjusting medium to circulate in the liquid circulation pipeline. And the battery cell heat exchange plate exchanges heat with the battery cell. The liquid circulation pipeline forms a first passage between the first tee joint and the second tee joint. The heat exchanger exchanges heat with the heat pump unit. The power distribution circulation unit comprises a second path and a power distribution cabinet heat exchange plate arranged in the power distribution cabinet. The power distribution cabinet heat exchange plate is arranged on the second channel and comprises an input port communicated with the first tee joint and an output port communicated with the heat exchanger through a second tee joint. The first tee joint distributes the heat adjusting medium from the battery cell heat exchange plate to the second channel where the power distribution cabinet heat exchange plate is located and the first channel, and the heat adjusting medium flows to the heat exchanger through the second tee joint.

The invention provides a combined heat and power system and a control method thereof, and relates to the technical field of combined heat and power. The system comprises a fuel gas heat and power cogeneration subsystem, a heat supply subsystem and a fused salt heat storage subsystem, the fuel gas heat and power cogeneration subsystem is used for fuel gas power supply, the fused salt heat storage subsystem can convert solar energy and / or flue gas generated by power supply into heat energy of high-temperature fused salt to be stored, and the heat supply subsystem conducts primary heating on heat supply return water through geothermal energy; and flue gas and / or high-temperature fused salt generated by power supply are / is used for conducting secondary heating on heat supply return water. Geothermal energy, solar energy and fused salt heat storage are coupled, and renewable energy sources are fully utilized for heat and power cogeneration, so that the power supply requirement and the heat supply requirement of a user are met. In the ground source heat pump unit, primary heating is conducted through geothermal energy, heat supply return water is heated into warm water, then the warm water is secondarily heated into hot water through smoke in the gas heat and power cogeneration system, the compression ratio of a compressor in a ground source heat pump can be reduced, and power consumption of the compressor is reduced.

The invention provides a heat pump non-stop defrosting control method and system based on double-evaporator cooperative control, and the method comprises the steps: building a temperature difference response change rate index by collecting the refrigerant inlet and outlet temperatures of two groups of fin heat exchangers in real time, and recognizing a side needing to be defrosted and a heating side; an electronic expansion valve, a fan and an electromagnetic valve are dynamically configured, so that the side needing to be defrosted enters a static defrosting mode, and the heating side continuously supplies heat; the frequency rising of the compressor and the switching of the four-way valve are cooperatively adjusted, and small-flow pre-balancing is executed before reversing so as to restrain pressure impact; and after defrosting is completed, it is judged that defrosting is finished based on the thermal response state and the heat change trend, the side needing defrosting is controlled to be reset, and heating is started again. Uninterrupted heat supply of the user side in the defrosting process is achieved, water temperature fluctuation and energy consumption are remarkably reduced, and the operation stability and energy efficiency of the heat pump in the low-temperature and high-humidity environment are improved.

The invention provides a heat supply method and system utilizing waste heat resources and a control device, and relates to the field of heat exchange. According to the heat utilization required temperature and the grade and temperature of the waste heat return water, when the waste heat return water does not meet the heat utilization required temperature, the heat pump unit is started to heat the waste heat return water and then provide the waste heat return water for heat utilization equipment for use, and water flow on the evaporation side of the heat pump unit exchanges heat with dead steam; therefore, various waste heat resources of different grades and different forms are cooperatively utilized, and the utilization efficiency of energy is improved.

The present application relates to a kind of heat pump rectification systems based on heat shock flash circulation lift heat exchange, including rectifying tower, lift membrane reboiler, first throttling valve and heat shock heater, the secondary steam outlet of rectifying tower is connected with the heating steam import of lift membrane reboiler, the discharge port of the bottom of rectifying tower is connected with the cold side flow channel import of heat shock heater, and the cold side flow channel export of heat shock heater is connected with the feed inlet of lift membrane reboiler by first throttling valve;The vapor-liquid mixture outlet of lift membrane reboiler is connected with the column still liquid reflux port of rectifying tower, and the steam condensate outlet of lift membrane reboiler is connected with condensate tank, and the liquid outlet of condensate tank is connected with the condensate reflux port of rectifying tower side wall.The present application is combined by heat shock pressurization energy storage and throttling flash kinetic energy release, provides independent and stable lift membrane kinetic energy for lift membrane heat exchange, so that the flow pattern in the tube of lift membrane reboiler directly enters the efficient annular flow stage, improves the industrial applicability of lift membrane heat exchange technology in heat pump rectification system.

The invention belongs to the field of food drying processing, and particularly relates to a high-quality food drying device and method based on low temperature and negative pressure, a high-temperature heat pump system is used for providing heat in the drying process, supplementing heat taken away by water loss and maintaining the temperature of goods in a proper range. And the water catching system is used for condensing and intensively discharging water vapor generated by drying. And the negative pressure drying system is used for placing dried goods and providing a negative pressure environment to accelerate the drying speed. The pressure in the drying box is reduced to below the saturated vapor pressure corresponding to the moisture contained in the goods through the vacuum pump, heat is generated through the high-temperature heat pump system and conveyed to the flat plate radiation heat exchangers of the negative-pressure drying system to maintain the goods at the set temperature, and finally low-temperature rapid cooling of the goods is achieved. The low pressure is utilized to reduce the gasification temperature of water contained in food, and low-temperature heating is matched to quickly dry the food at low temperature, so that low-loss food nutrition drying is realized.

The invention discloses a multi-dimensional heat management and safety protection system for an electric bicycle battery replacement cabinet, and belongs to the technical field of heat management of electric bicycle heat exchange stations. According to the system, through a multi-dimensional thermal management framework of a phase change material plate, a liquid cooling plate and a wide-temperature-range heat pump, temperature, pressure and smoke multi-sensor monitoring and layered regulation and control of a thermal management subsystem are combined, so that accurate control over the temperature in a battery bin and early warning of battery thermal runaway are achieved; meanwhile, the safety of battery replacement operation is guaranteed by means of a linkage control mechanism of a front bin door and a rear bin door, a catapulting device composed of a compressed carbon dioxide gas storage tank, an electromagnetic valve, an I-shaped pushing rod and an air cylinder is matched, a fault battery can be rapidly pushed into a fire-fighting bin when a thermal runaway signal is detected, a full-link safety protection system is formed from early warning, temperature control to emergency disposal, and the safety of the battery replacement operation is guaranteed. The problems that an existing battery replacement cabinet is uneven in battery heat dissipation, lagged in thermal runaway response and single in safety protection are effectively solved, and the operation safety and reliability of the electric bicycle battery replacement cabinet are remarkably improved.

A liquid desiccant regenerator configured to produce a first output stream with a higher concentration of a liquid desiccant than a first input stream. The regenerator also produces a second output stream with a lower concentration of the liquid desiccant than a second input stream. Regeneration of the liquid desiccant in the liquid desiccant regenerator decreases a temperature of the liquid desiccant regenerator. The system includes an air contactor coupled to the first output stream and exposing an input air stream to the first output stream. The first output stream absorbs water from the input air stream to form at least one diluted output desiccant stream. A heat pump of the system is thermally coupled to move the heat from the first output stream to the liquid desiccant regenerator. The heat moved to the liquid desiccant regenerator increases an efficiency of the liquid desiccant regenerator.

A vapor injection heat pump system and a method of operating the same are disclosed. The system includes a compressor, an indoor heat exchanger, a vapor injection module, an outdoor heat exchanger, and an evaporator and in which the module includes a first expansion unit, a gas-liquid separator, and a second expansion unit. The method includes performing control in a first heating mode which is a non-vapor injection heating mode or a second heating mode which is a vapor injection heating mode, wherein, in the operation of performing control, a refrigerant introduced into the module is controlled to expand in the first expansion unit, not expand after passing through the gas-liquid separator, and pass through the second expansion unit in the first heating mode, and the refrigerant introduced into the module is controlled to expand primarily in the first expansion unit.

The invention discloses a multi-parameter fusion air suspension heat pump AI load prediction energy-saving control method. The method comprises the following steps: constructing a multi-source heterogeneous parameter acquisition system and preprocessing data; fusing the parameter spatio-temporal features through a multi-head spatio-temporal feature extraction module embedded with an attention mechanism; establishing a load prediction model integrating a long-short-term memory network and thermodynamic physical constraints; on the basis of a model predictive control framework, a future control instruction is optimized under the condition that comfort and equipment safety constraints are met; an online learning and updating mechanism based on prediction error triggering is introduced, and the model weight is dynamically and finely adjusted to adapt to system characteristic changes. According to the technical scheme, the load prediction precision and the control response speed under the complex working condition are remarkably improved, the real-time optimization of the system energy efficiency is achieved, and the long-term operation stability is guaranteed.

The utility model discloses an ice persimmon closed-loop heat pump dryer which comprises a drying chamber and a heat exchange system, and the drying chamber is provided with an air valve and a fan; the heat exchange system comprises a compressor, a condenser set, an electronic expansion valve and an evaporator which are sequentially connected and form a refrigerant circulation loop. The drying chamber has a high-temperature mode and a low-temperature mode, when the drying chamber is in the high-temperature mode, the air valve is closed, and when the drying chamber is in the low-temperature mode, the air valve is opened. Due to the indoor condenser and the outdoor condenser, the drying chamber can be flexibly switched between a high-temperature mode and a low-temperature mode, and the alternate operation mode not only can quickly and uniformly remove moisture in the persimmons, but also effectively reduces the tannin content in the persimmons. An air valve is arranged in the drying chamber and can change the flow direction of air in the drying chamber according to the working mode. Air flows through the heat regenerator twice and is heated / cooled, and the humidity is rapidly reduced in the process.

The invention relates to the technical field of heat pump control, and discloses a defrosting method and device of a heat pump system and the heat pump system.The defrosting method comprises the steps that the temperature and humidity of gaps of a fin type heat exchanger are monitored in real time; and when the temperature is lower than or equal to the threshold value of the dynamic dew point temperature plus the safety margin and the humidity is higher than or equal to the threshold value, it is judged that the frosting prevention condition is met, the gap temperature is increased by adjusting the refrigerant bypass valve, the gap humidity is reduced by adjusting the airflow adjusting valve, and therefore frosting is actively prevented. And if the frost layer appears, short-time refrigeration interruption or low-power heating is started for defrosting according to the thickness of the frost layer or a pressure difference signal. And the formed ice layer is forcibly removed by switching the flow direction of the refrigerant and heating. By means of three-level linkage control, accurate defrosting in the whole process from prevention to removal is achieved, energy waste is effectively avoided, the defrosting efficiency and operation stability of the system are improved, and the user experience is improved.