Intelligent defrosting control method and system for low-temperature coupling heat pump

Abstract

The invention provides an intelligent defrosting control method and system for a low-temperature coupling heat pump, and the method comprises the steps: monitoring current environment parameters and the water temperature of a first-stage waterway, and obtaining a plurality of current environment parameters and first-stage water temperature; when the current environment parameter is smaller than or equal to the defrosting critical point, whether the first-stage water temperature is larger than the freezing critical point or not is judged, and if yes, real-time target calling heat obtained from a water storage pond of a first-stage water path is obtained based on a second-stage heat exchanger to conduct defrosting on a second-stage water path; and otherwise, the water circulation system of the low-temperature coupling heat pump is defrosted based on the auxiliary defrosting equipment. Under the condition that it is ensured that the first-stage waterway is not frozen, heat of the first-stage waterway is used for defrosting the second-stage waterway, the frost heating process is intelligently adjusted, so that the influence of frosting on the second-stage waterway is reduced, or auxiliary defrosting equipment is started to defrost a circulating water system of a heat pump under the condition that the temperature of the first-stage waterway is too low, and the defrosting efficiency is improved. And stable operation of the system is ensured to the greatest extent.

Description

Technical Field

[0001] The present invention relates to the technical field of heat pump defrosting, and in particular to an intelligent defrosting control method and system for a low-temperature coupled heat pump. Background Art

[0002] A heat pump is a device that can obtain low-level thermal energy from the air, water or soil in nature, and provide high-level thermal energy that can be used by people through electrical energy work. Among them, the low-temperature coupled heat pump, as an advanced heat pump technology, achieves the purpose of efficient heating and hot water supply by converting low-temperature thermal energy into high-temperature thermal energy. In terms of energy conservation and environmental protection, low-temperature heat pumps have significant effects and provide strong support for sustainable development. However, due to the influence of the low-temperature environment, when the ambient temperature is too low or even below the frost point temperature, the surface of the circulation pipe of the heat pump will frost, and the frost will not only increase the heat transfer resistance of the heat exchanger, but also reduce the heat exchange amount, affecting the system performance. Specifically, excessive frost on the heat exchanger causes the system to deviate from the design operating conditions, thereby affecting the heating performance of the system. Therefore, the present invention proposes an intelligent defrost control method and system for a low-temperature coupled heat pump. Summary of the invention

[0003] The present invention provides an intelligent defrost control method and system for a low-temperature coupled heat pump. The method monitors the current environment and the temperature of a primary water channel in real time, and while ensuring that the primary water channel will not freeze, uses the heat of the primary water channel to defrost the secondary water channel and intelligently adjusts the defrost heating process to reduce the impact of frosting on the secondary water channel. Alternatively, when the temperature of the primary water channel is too low, an auxiliary defrost device is turned on to defrost the circulating water system of the heat pump, thereby ensuring stable operation of the system to the greatest extent possible.

[0004] The present invention provides an intelligent defrosting control method for a low-temperature coupled heat pump, comprising:

[0005] Monitor the current environmental parameters and the water temperature of the primary waterway to obtain multiple current environmental parameters and primary water temperatures respectively;

[0006] When the current environmental parameter is less than or equal to the defrosting critical point, it is determined whether the primary water temperature is greater than the freezing critical point. If so, the secondary water circuit is defrosted by obtaining heat from the water tank of the primary water circuit in real time based on the secondary heat exchanger;

[0007] Otherwise, the water circulation system of the low temperature coupled heat pump is defrosted based on the auxiliary defrosting equipment;

[0008] Wherein, the water circulation system includes a primary waterway and a secondary waterway.

[0009] Preferably, in an intelligent defrosting control method for a low-temperature coupled heat pump, the current environmental parameters and the water temperature of the primary water circuit are monitored to obtain the current environmental temperature and the primary water temperature respectively; including:

[0010] Based on a preset cycle, the current environmental parameters and the water temperature of the first water channel are collected respectively to obtain the current environmental parameters and the first-level water temperature;

[0011] Among them, the current environmental parameters include ambient temperature, ambient humidity and current ambient air pressure;

[0012] The current ambient temperature and the first-level water temperature are sent to the ambient temperature data set and the first water channel temperature data set for storage respectively.

[0013] Preferably, in an intelligent defrosting control method for a low-temperature coupled heat pump, the secondary water circuit is defrosted based on heat exchanger acquiring heat from the primary water circuit, including:

[0014] Based on the temperature change characteristics of the current environment and the defrosting reference data, determine the defrosting heat acquisition strategy for the secondary water circuit in the current period;

[0015] Based on the defrost heat acquisition strategy, determine the real-time target heat extraction of the heat exchanger;

[0016] and determining whether the real-time target heat is less than the adjustable heat of the primary water circuit. If so, obtaining heat equal to the real-time target heat from the primary water circuit based on the secondary heat exchanger, and defrosting the secondary water circuit based on the heat;

[0017] Otherwise, the final heat transfer corresponding to the primary waterway is determined according to the real-time target heat transfer and the preset acquisition ratio, and the heat equal to the final heat transfer is obtained from the primary waterway based on the secondary heat exchanger, and transferred to the surface of the secondary waterway pipe for defrosting;

[0018] At the same time, according to the defrosting heat difference and the transmission heat consumption corresponding to the current environment, the temperature of the auxiliary defrosting equipment laid on the secondary water pipeline is controlled to generate target heat for defrosting assistance.

[0019] Preferably, in an intelligent defrost control method for a low-temperature coupled heat pump, based on the temperature change characteristics of the current environment and defrost reference data, a defrost heat acquisition strategy for the secondary water circuit in the current period is determined, including:

[0020] The defrost critical point is used to generate a benchmark, and the temperature change characteristics of the current environment are extracted. Based on the temperature change characteristics, the temperature rise and fall trend of the current environment is determined;

[0021] Based on the temperature rise and fall trend combined with the environmental parameter changes corresponding to the associated weather forecast in the area where the low-temperature coupled heat pump is currently used, determine the predicted change range of different types of environmental reference parameters in the current period;

[0022] Based on the predicted variation range, the defrost reference data is screened to determine the corresponding one or more reference intervals, and the optimal reference heat consumption corresponding to the one or more reference intervals is obtained respectively;

[0023] Based on the optimal reference heat consumption and in combination with the predicted variation ranges of different types of environmental reference parameters in the current period, a defrosting strategy for the secondary water circuit in the current period is generated.

[0024] Preferably, in a method for intelligent defrosting control of a low-temperature coupled heat pump, it also includes:

[0025] Obtain defrost record data of the circulating water circuit of the low-temperature coupled heat pump, obtain the heat consumption data of successful defrosting under different environmental parameters based on the defrost record data, classify the heat consumption data based on the similarity of the environmental parameters, obtain multiple data intervals, and determine the parameter intervals corresponding to various environmental parameters in each data interval respectively, generate interval labels and add them to the corresponding data intervals;

[0026] Extract the distribution characteristics of the calorie consumption data in each data interval respectively, and compare the distribution characteristics with the preset distribution characteristics. If the characteristic differences between the two are less than the preset maximum allowable error, the data interval is determined to be a reference interval;

[0027] Otherwise, the data interval is merged with an adjacent non-reference interval to obtain a merged data interval, and if there is no adjacent non-reference interval for the data interval, the data interval is regarded as a special data interval;

[0028] The merged data interval or special data interval is split according to the preset distribution characteristics and the maximum allowable error-free state to obtain at least two reference intervals that meet the preset distribution characteristics, and the interval label is added and updated according to the changes in various environmental parameters corresponding to the reference intervals;

[0029] Obtaining the average calorie consumption, maximum calorie consumption, minimum calorie consumption and actual characteristic difference corresponding to each reference interval, and calculating the data instability index of the corresponding reference interval according to the average calorie consumption, maximum calorie consumption and minimum calorie consumption;

[0030] Based on the actual characteristic difference, the data aggregation error of the corresponding reference interval is determined, and the consumption correction index of the reference interval is obtained in combination with the data instability index, and the average caloric consumption is corrected based on the data correction index to obtain the optimal reference caloric consumption corresponding to the reference interval;

[0031] The defrost reference data is generated based on the optimal reference heat consumption corresponding to all reference intervals.

[0032] Preferably, in an intelligent defrost control method for a low-temperature coupled heat pump, based on a defrost heat acquisition strategy, before determining a real-time target heat extraction amount of a heat exchanger, the method further includes:

[0033] Determine whether various actual environmental parameters of the current environment are within the corresponding predicted environmental parameter ranges. If so, determine the final target heat extraction of the heat exchanger based on the defrosting heat extraction strategy.

[0034] Otherwise, obtain the out-of-range environmental parameters and the average errors of the upper and lower limits of the predicted environmental parameter range corresponding to the out-of-range environmental parameters, and obtain the parameter calibration index corresponding to the out-of-range environmental parameters based on the frost layer influence weights of different environmental parameters in the current ambient temperature range and the corresponding average errors; add the parameter calibration indices corresponding to all the out-of-range environmental parameters to obtain the heat calibration coefficient;

[0035] Based on the heat extraction calibration index, the target real-time heat extraction corresponding to the defrost heat acquisition strategy is calibrated to obtain the final real-time target heat extraction;

[0036] At the same time, the rate error between the average change amplitude of each environmental parameter in the current time period and the average change amplitude of the corresponding predicted change range is calculated, and based on the rate error, the environmental parameter changes corresponding to the associated weather forecast of the current use area of ​​the low-temperature coupled heat pump are fine-tuned to obtain the exclusive environmental parameter prediction results of the low-temperature coupled heat pump, and the predicted change ranges of different types of environmental reference parameters in the current time period are synchronously corrected according to the exclusive environmental parameter prediction results.

[0037] Preferably, in an intelligent defrosting control method for a low-temperature coupled heat pump, defrosting a water circulation system of the low-temperature coupled heat pump based on an auxiliary defrosting device includes:

[0038] Get the temperature difference ratio between the current ambient temperature and the default temperature of the auxiliary defrost equipment;

[0039] When the temperature difference ratio is less than or equal to the first-level threshold, the auxiliary defrosting device maintains the default temperature;

[0040] When the temperature difference ratio is greater than the primary threshold and less than the secondary threshold, the temperature switching value of the auxiliary defrosting device is controlled to be the primary defrosting temperature;

[0041] When the temperature difference ratio is equal to or greater than the secondary threshold, the temperature of the auxiliary defrosting device is controlled to switch to the secondary defrosting temperature.

[0042] The present invention provides an intelligent defrosting control system for a low-temperature coupled heat pump, comprising:

[0043] A data acquisition module is used to monitor the current environmental parameters and the water temperature of the primary waterway, and obtain a plurality of current environmental parameters and the primary water temperature respectively;

[0044] The intelligent defrosting module is used to determine whether the primary water temperature is at the freezing critical point when the current environmental parameters are less than or equal to the defrosting critical point and the environmental humidity is greater than, if so, to obtain the real-time target heat from the water tank of the primary water channel based on the secondary heat exchanger to defrost the secondary water channel;

[0045] Otherwise, the water circulation system of the low temperature coupled heat pump is defrosted based on the auxiliary defrosting equipment;

[0046] Wherein, the water circulation system includes a primary waterway and a secondary waterway.

[0047] Preferably, in an intelligent defrost control system of a low-temperature coupled heat pump, the intelligent defrost module comprises:

[0048] A strategy generating unit, for determining a defrosting heat acquisition strategy for the secondary water path in the current period based on the temperature variation characteristics of the current environment and defrosting reference data;

[0049] A heat determination unit, used to determine a real-time target heat extraction of a heat exchanger based on a defrosting heat extraction strategy;

[0050] An intelligent judgment unit is used to judge whether the real-time target heat is less than the adjustable heat of the primary water circuit. If so, the heat equal to the real-time target heat is obtained from the primary water circuit based on the secondary heat exchanger, and the secondary water circuit is defrosted based on the heat.

[0051] Otherwise, the final heat transfer corresponding to the primary waterway is determined according to the real-time target heat transfer and the preset acquisition ratio, and the heat equal to the final heat transfer is obtained from the primary waterway based on the secondary heat exchanger, and transferred to the surface of the secondary waterway pipe for defrosting;

[0052] At the same time, according to the defrosting heat difference and the transmission heat consumption corresponding to the current environment, the temperature of the auxiliary defrosting equipment laid on the secondary water pipeline is controlled to generate target heat for defrosting assistance.

[0053] Preferably, in an intelligent defrost control system for a low-temperature coupled heat pump, a strategy generation unit comprises:

[0054] An intelligent prediction unit is used to generate a benchmark based on the defrost critical point, extract the temperature change characteristics of the current environment, and determine the temperature rise and fall trend of the current environment based on the temperature change characteristics;

[0055] Based on the temperature rise and fall trend combined with the environmental parameter changes corresponding to the associated weather forecast in the area where the low-temperature coupled heat pump is currently used, determine the predicted change range of different types of environmental reference parameters in the current period;

[0056] An intelligent screening subunit, configured to screen the defrost reference data based on the predicted variation range, determine the corresponding one or more reference intervals, and obtain the optimal reference heat consumption corresponding to the one or more reference intervals respectively;

[0057] The strategy generation subunit is used to generate a defrosting strategy for the secondary water circuit in the current period based on the optimal reference heat consumption and in combination with the predicted variation range of different types of environmental reference parameters in the current period.

[0058] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures specifically pointed out in this application document.

[0059] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0061] Figure 1 It is a flow chart of an intelligent defrosting control method of a low-temperature coupled heat pump according to the present invention;

[0062] Figure 2 A flow chart for defrosting the secondary water circuit based on obtaining heat from the primary water circuit through a heat exchanger;

[0063] Figure 3 This is a structural diagram of an intelligent defrost control system for a low-temperature coupled heat pump according to the present invention. DETAILED DESCRIPTION

[0064] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0065] Embodiment 1:

[0066] The present invention provides an intelligent defrosting control method for a low temperature coupled heat pump, such as Figure 1 As shown, including:

[0067] Monitor the current environmental parameters and the water temperature of the primary waterway to obtain multiple current environmental parameters and primary water temperatures respectively;

[0068] When the current environmental parameter is less than or equal to the defrosting critical point, it is determined whether the primary water temperature is greater than the freezing critical point. If so, the secondary water circuit is defrosted by obtaining heat from the water tank of the primary water circuit in real time based on the secondary heat exchanger;

[0069] Otherwise, the water circulation system of the low temperature coupled heat pump is defrosted based on the auxiliary defrosting equipment;

[0070] Wherein, the water circulation system includes a primary waterway and a secondary waterway.

[0071] In this embodiment, the primary water path is the water path corresponding to the natural energy pump group such as air source, wind source, geothermal source, etc., and the secondary water cooling is the energy such as gas, electricity, etc. that needs to be paid for.

[0072] In this embodiment, the auxiliary defrosting equipment refers to heating equipment that can be fixedly installed on the pipeline, such as a heating belt, a heating blanket, etc.

[0073] The beneficial effects of the above technical solution are as follows: the present invention monitors the current environmental parameters and the water temperature of the primary water circuit in real time, and uses the heat of the primary water circuit to defrost the secondary water circuit and intelligently adjusts the defrost heating process while ensuring that the primary water circuit will not freeze and will not affect its normal working state, so as to reduce the impact of frosting on the secondary water circuit, or turns on the auxiliary defrost equipment to defrost the circulating water system of the heat pump when the primary water cooling temperature is too low, thereby ensuring the stable operation of the heat pump system to the greatest extent.

[0074] Embodiment 2:

[0075] Based on Example 1, the current environmental parameters and the water temperature of the primary waterway are monitored to obtain the current environmental temperature and the primary water temperature respectively; including:

[0076] Based on a preset cycle, the current environmental parameters and the water temperature of the first water channel are collected respectively to obtain the current environmental parameters and the first-level water temperature;

[0077] Among them, the current environmental parameters include ambient temperature, ambient humidity and current ambient air pressure;

[0078] The current ambient temperature and the first-level water temperature are sent to the ambient temperature data set and the first water channel temperature data set for storage respectively.

[0079] The beneficial effects of the above technical solution are as follows: the present invention collects the current environmental parameters and the water temperature of the first water channel based on a preset cycle to obtain the current environmental parameters and the first-level water temperature; and sends the current environmental temperature and the first-level water temperature to the environmental temperature data set and the first water channel temperature data set for storage, respectively, thereby realizing automatic monitoring of the heat pump use environment and the first water channel temperature and automatic storage of the monitoring data.

[0080] Embodiment 3:

[0081] Based on Example 1, the heat of the primary water circuit is obtained by the heat exchanger to defrost the secondary water circuit, such as Figure 2 As shown, including:

[0082] Based on the temperature change characteristics of the current environment and the defrosting reference data, determine the defrosting heat acquisition strategy for the secondary water circuit in the current period;

[0083] Based on the defrost heat acquisition strategy, determine the real-time target heat extraction of the heat exchanger;

[0084] and determining whether the real-time target heat is less than the adjustable heat of the primary water circuit. If so, obtaining heat equal to the real-time target heat from the primary water circuit based on the secondary heat exchanger, and defrosting the secondary water circuit based on the heat;

[0085] Otherwise, the final heat transfer corresponding to the primary waterway is determined according to the real-time target heat transfer and the preset acquisition ratio, and the heat equal to the final heat transfer is obtained from the primary waterway based on the secondary heat exchanger, and transferred to the surface of the secondary waterway pipe for defrosting;

[0086] At the same time, according to the defrosting heat difference and the transmission heat consumption corresponding to the current environment, the temperature of the auxiliary defrosting equipment laid on the secondary water pipeline is controlled to generate target heat for defrosting assistance.

[0087] In this embodiment, the current time period refers to a period of time starting from the current time (for example, 1 hour, 2 hours, 5 hours, etc.), and the value of the current time period is less than 12 hours.

[0088] In this embodiment, the real-time target heat refers to the heat required for defrosting the secondary water cooling at the current time point. The preset acquisition ratio trend range is 60%-85% to avoid the problem of excessive heat acquisition causing the water temperature of the primary water circuit to be too low, affecting the water circuit circulation. The adjustable heat refers to the heat stored in the primary water circuit.

[0089] The beneficial effects of the above technical solution: the present invention determines the defrost heat acquisition strategy of the secondary water circuit in the current period based on the temperature change characteristics of the current environment and the defrost reference data, provides a basis for defrosting and heating the secondary water circuit based on the water circuit, effectively improves the defrost response speed of the secondary water circuit, reduces the temperature loss of the secondary water circuit, reduces the impact of eliminating frost on the secondary water circuit, and determines the real-time target heat intake of the heat exchanger based on the defrost heat acquisition strategy, thereby achieving rapid response of secondary water circuit defrosting; and determines whether the real-time target heat intake is less than the adjustable heat intake of the primary water circuit. If so, the secondary heat exchanger obtains heat from the primary water circuit that is equal to the real-time target heat intake. If the heat is the same as the real-time target heat, the secondary water circuit is defrosted based on the heat; otherwise, the final heat call corresponding to the primary water circuit is determined according to the real-time target heat call and the preset acquisition ratio, then the heat equal to the final heat call is obtained from the primary water circuit based on the secondary heat exchanger, and transferred to the surface of the secondary water circuit pipeline for defrosting; at the same time, according to the defrosting heat difference and the transmission heat consumption corresponding to the current environment, the temperature of the auxiliary defrosting equipment laid on the secondary water circuit pipeline is controlled to generate target heat for defrosting assistance, ensuring that the primary water circuit will not affect its own operation when defrosting and heating the secondary water circuit, ensuring the stable operation of the heat pump system, and providing guarantee for the normal heating of the heat pump.

[0090] Embodiment 4:

[0091] On the basis of Example 3, based on the temperature change characteristics of the current environment and the defrosting reference data, the defrosting heat acquisition strategy of the secondary water circuit in the current period is determined, including:

[0092] The defrost critical point is used to generate a benchmark, and the temperature change characteristics of the current environment are extracted. Based on the temperature change characteristics, the temperature rise and fall trend of the current environment is determined;

[0093] Based on the temperature rise and fall trend combined with the environmental parameter changes corresponding to the associated weather forecast in the area where the low-temperature coupled heat pump is currently used, determine the predicted change range of different types of environmental reference parameters in the current period;

[0094] Based on the predicted variation range, the defrost reference data is screened to determine the corresponding one or more reference intervals, and the optimal reference heat consumption corresponding to the one or more reference intervals is obtained respectively;

[0095] Based on the optimal reference heat consumption and in combination with the predicted variation ranges of different types of environmental reference parameters in the current period, a defrosting strategy for the secondary water circuit in the current period is generated.

[0096] In this embodiment, the predicted change range includes the change range of the ambient temperature, humidity and pressure in the current period.

[0097] The beneficial effects of the above technical solution are as follows: the present invention first generates a benchmark based on the defrost critical point, extracts the temperature change characteristics of the current environment, and determines the temperature rise and fall trend of the current environment based on the temperature change characteristics; based on the temperature rise and fall trend combined with the environmental parameter changes corresponding to the associated weather forecast of the current use area of ​​the low-temperature coupled heat pump, determines the predicted change range of different types of environmental reference parameters in the current time period; then based on the predicted change range, the defrost reference data is screened to determine the corresponding one or more reference intervals, and the optimal reference heat consumption corresponding to one or more reference intervals is obtained respectively; finally, based on the optimal reference heat consumption and combined with the predicted change range of different types of environmental reference parameters in the current time period, a defrost strategy for the secondary water circuit in the current time period is generated, which provides a basis for obtaining defrost heat for the secondary water circuit in the current time period. Excessive heat obtained during the defrosting process of the secondary water circuit leads to waste of resources, or too little heat is obtained to achieve the defrosting purpose, thereby eliminating the impact of frosting on the secondary water circuit.

[0098] Embodiment 5:

[0099] Based on Example 4, an intelligent defrost control method for a low-temperature coupled heat pump further includes:

[0100] Obtain defrost record data of the circulating water circuit of the low-temperature coupled heat pump, obtain the heat consumption data of successful defrosting under different environmental parameters based on the defrost record data, classify the heat consumption data based on the similarity of the environmental parameters, obtain multiple data intervals, and determine the parameter intervals corresponding to various environmental parameters in each data interval respectively, generate interval labels and add them to the corresponding data intervals;

[0101] Extract the distribution characteristics of the calorie consumption data in each data interval respectively, and compare the distribution characteristics with the preset distribution characteristics. If the characteristic differences between the two are less than the preset maximum allowable error, the data interval is determined to be a reference interval;

[0102] Otherwise, the data interval is merged with an adjacent non-reference interval to obtain a merged data interval, and if there is no adjacent non-reference interval for the data interval, the data interval is regarded as a special data interval;

[0103] The merged data interval or special data interval is split according to the preset distribution characteristics and the maximum allowable error-free state to obtain at least two reference intervals that meet the preset distribution characteristics, and the interval label is added and updated according to the changes in various environmental parameters corresponding to the reference intervals;

[0104] Obtaining the average calorie consumption, maximum calorie consumption, minimum calorie consumption and actual characteristic difference corresponding to each reference interval, and calculating the data instability index of the corresponding reference interval according to the average calorie consumption, maximum calorie consumption and minimum calorie consumption;

[0105] Based on the actual characteristic difference, the data aggregation error of the corresponding reference interval is determined, and the consumption correction index of the reference interval is obtained in combination with the data instability index, and the average caloric consumption is corrected based on the data correction index to obtain the optimal reference caloric consumption corresponding to the reference interval;

[0106] The defrost reference data is generated based on the optimal reference heat consumption corresponding to all reference intervals.

[0107] In this embodiment, the defrost record data refers to the defrost history record data of the low-temperature coupled heat pump water circulation system, including the defrost heat consumption and its corresponding environmental parameters.

[0108] In this embodiment, the environmental parameter similarity refers to the similarity between the environmental parameters corresponding to the defrost record data, including the similarity of the three environmental commitment documents of temperature, humidity and pressure, which is the sum of the three.

[0109] In this embodiment, the data interval refers to a data interval consisting of heat consumption data corresponding to defrost record data whose environmental parameter similarity is within a preset interval (a value range of [0.8, 1]).

[0110] In this embodiment, the parameter interval refers to the interval range corresponding to each environmental parameter (including temperature, humidity and pressure).

[0111] In this embodiment, the distribution feature refers to first determining the concentrated distribution area of ​​calorie consumption data within the data interval, and for the concentrated distribution area, the discrete distribution of all calorie consumption data within the parameter interval. The higher the discreteness, the more dispersed the data distribution within the interval.

[0112] In this embodiment, the preset distribution feature refers to the data within the interval. The calorie consumption data within the interval is concentrated around a certain point, which conforms to the normal distribution law.

[0113] In this embodiment, the maximum allowable error refers to a preset maximum distribution difference degree, and the value is (0.1, 0.3).

[0114] In this embodiment, the non-reference interval refers to a data interval that is not a reference interval.

[0115] In this embodiment, the data instability index refers to the average value of the sum of the errors between the maximum calorie consumption and the minimum calorie consumption, which is used to determine the magnitude of the fluctuation range of the data in the reference interval. The smaller the fluctuation range, the more representative the average calorie consumption is for the data in the reference interval.

[0116] In this embodiment, the actual feature difference refers to the difference between the distribution feature within the reference interval and the preset distribution feature, that is, the data aggregation error.

[0117] In this embodiment, the consumption correction index is a value obtained by dividing the data instability index A and the data aggregation error according to B*(A+1).

[0118] The beneficial effects of the above technical solution are as follows: the present invention obtains the defrost record data of the circulating water circuit of the low-temperature coupled heat pump, obtains the heat consumption data of successful defrosting under different environmental parameters based on the defrost record data, classifies the heat consumption data based on the similarity of the environmental parameters, obtains multiple data intervals, and determines the parameter intervals corresponding to the various environmental parameters of each data interval respectively, generates interval labels and adds them to the corresponding data intervals; extracts the distribution characteristics of the heat consumption data in each data interval respectively, and judges and compares the distribution characteristics with the preset distribution characteristics. If the feature differences between the two are both less than the preset maximum allowable error, the data interval is determined to be a reference interval; otherwise, the data interval is merged with an adjacent non-reference interval to obtain a merged data interval. If there is no adjacent non-reference interval in the data interval, the data interval is used as a special data interval; the merged data interval or the special data interval is compared according to the preset distribution characteristics and the maximum allowable error-free value. The special data interval is split to obtain at least two reference intervals that meet the preset distribution characteristics, and the interval labels are added and updated according to the changes of various environmental parameters corresponding to the reference intervals; the average heat consumption, maximum heat consumption, minimum heat consumption and actual characteristic difference corresponding to each reference interval are obtained, and the data instability index of the corresponding reference interval is calculated according to the average heat consumption, maximum heat consumption and minimum heat consumption; based on the actual characteristic difference, the data aggregation error of the corresponding reference interval is determined, and the consumption correction index of the reference interval is obtained in combination with the data instability index, and the average heat consumption is corrected based on the data correction index to obtain the optimal reference heat consumption corresponding to the reference interval; based on the optimal reference heat consumption corresponding to all reference intervals, defrosting reference data is generated to provide a reference for the intelligent regulation and heating process of defrosting the secondary water channel based on the heat of the primary water channel, effectively improving the efficiency of intelligent regulation and the accuracy of defrosting heat acquisition.

[0119] Embodiment 6:

[0120] On the basis of Example 4, based on the defrosting heat acquisition strategy, before determining the real-time target heat extraction of the heat exchanger, the method further includes:

[0121] Determine whether various actual environmental parameters of the current environment are within the corresponding predicted environmental parameter ranges. If so, determine the final target heat extraction of the heat exchanger based on the defrosting heat extraction strategy.

[0122] Otherwise, obtain the out-of-range environmental parameters and the average errors of the upper and lower limits of the predicted environmental parameter range corresponding to the out-of-range environmental parameters, and obtain the parameter calibration index corresponding to the out-of-range environmental parameters based on the frost layer influence weights of different environmental parameters in the current ambient temperature range and the corresponding average errors; add the parameter calibration indices corresponding to all the out-of-range environmental parameters to obtain the heat calibration coefficient;

[0123] Based on the heat extraction calibration index, the target real-time heat extraction corresponding to the defrost heat acquisition strategy is calibrated to obtain the final real-time target heat extraction;

[0124] At the same time, the rate error between the average change amplitude of each environmental parameter in the current time period and the average change amplitude of the corresponding predicted change range is calculated, and based on the rate error, the environmental parameter changes corresponding to the associated weather forecast of the current use area of ​​the low-temperature coupled heat pump are fine-tuned to obtain the exclusive environmental parameter prediction results of the low-temperature coupled heat pump, and the predicted change ranges of different types of environmental reference parameters in the current time period are synchronously corrected according to the exclusive environmental parameter prediction results.

[0125] In this embodiment, the predicted environmental parameter range refers to the variation range of a certain environmental parameter corresponding to the real-time target heat extraction during the generation of the target defrosting heat acquisition strategy.

[0126] In this embodiment, the frost layer influence weight refers to the influence weight of various environmental parameters corresponding to the current environment on the frost layer. The weight distribution corresponding to different environmental temperature intervals is different. For example, when the temperature is -10-0°C, the frost layer influence weight distribution corresponding to the temperature, humidity and pressure is 0.25, 0.4 and 0.35; when the temperature is -30-10°C, the frost layer influence weight distribution corresponding to the temperature, humidity and pressure is 0.3, 0.35 and 0.35; when the temperature is -45-30°C, the frost layer influence weight distribution corresponding to the temperature, humidity and pressure is 0.35, 0.35 and 0.3. The actual frost layer influence weight is determined by the low-temperature coupled heat pump according to the environmental parameters of the actual use area before the factory. The calibration coefficient of different frost layer influence weight parameters in the use area of ​​the low-temperature coupled heat pump refers to the difference in the error calibration coefficient corresponding to a certain environmental parameter that is determined to be out of range; the heat removal calibration coefficient refers to the mediastinal error calibration coefficient corresponding to all out-of-range environmental parameters.

[0127] The beneficial effects of the above technical solution: before determining the real-time target heating value of the heat exchanger based on the defrost heat acquisition strategy, the present invention judges whether various actual environmental parameters of the current environment are within the corresponding predicted environmental parameter range. If not, it indicates that the result corresponding to the defrost heat acquisition strategy is different from the actual one. If not, the out-of-range environmental parameters and the average error of the upper and lower limits of the predicted environmental parameter range corresponding to the out-of-range environmental parameters are obtained. Based on the frost layer influence weights of different environmental parameters in the current ambient temperature range and combined with their corresponding average errors, the parameter calibration index corresponding to the out-of-range environmental parameters is obtained; the parameter calibration indices corresponding to all the out-of-range environmental parameters are added to obtain the heat calibration coefficient; based on the heat calibration index, the target real-time heating value corresponding to the defrost heat acquisition strategy is calibrated to obtain the final real-time target heating value, thereby achieving the purpose of correcting the real-time target heating value according to the actual environmental parameters. This can maximize the guarantee that the real-time target heat intake is more in line with the frost condition of the pipe surface of the secondary water channel without defrosting, and ensure that the best defrosting effect is achieved for the secondary water channel based on the heat of the primary water channel; at the same time, the rate error between the average change amplitude of each environmental parameter in the current time period and the average change amplitude of the corresponding predicted change range is calculated, and based on the rate error, the environmental parameter changes corresponding to the associated weather forecast of the current use area of ​​the low-temperature coupled heat pump are fine-tuned to obtain the exclusive environmental parameter prediction results of the low-temperature coupled heat pump, and the predicted change ranges of different types of environmental reference parameters in the current time period are synchronously corrected according to the exclusive environmental parameter prediction results, so that the predicted change ranges of different types of environmental reference parameters in the current time period are more in line with the actual parameters of the actual use location of the current low-temperature coupled heat pump, which is conducive to improving the accuracy of the subsequent defrosting heat acquisition strategy.

[0128] Embodiment 7:

[0129] On the basis of Example 3, the water circulation system of the low-temperature coupled heat pump is defrosted based on the auxiliary defrosting device, including:

[0130] Get the temperature difference ratio between the current ambient temperature and the default temperature of the auxiliary defrost equipment;

[0131] When the temperature difference ratio is less than or equal to the first-level threshold, the auxiliary defrosting device maintains the default temperature;

[0132] When the temperature difference ratio is greater than the primary threshold and less than the secondary threshold, the temperature switching value of the auxiliary defrosting device is controlled to be the primary defrosting temperature;

[0133] When the temperature difference ratio is equal to or greater than the secondary threshold, the temperature of the auxiliary defrosting device is controlled to switch to the secondary defrosting temperature.

[0134] In this embodiment, the default temperature is 45°C; the first-level defrost temperature is 65°C; and the second-level defrost temperature is 85°C.

[0135] In this embodiment, the first-level threshold value range is [1, 1.25), the second-level threshold value range is (1.25, 1.5], and the temperature difference ratio range is [1, 2]. The temperature difference ratio is the ratio of the difference between the default temperature of the auxiliary defrost device and the current ambient temperature (the value range is (-45, 0]) to the default temperature of the auxiliary defrost device.

[0136] The beneficial effects of the above technical solution: the present invention determines the equipment temperature when the auxiliary defrost equipment defrosts and heats the entire water circulation system of the low-temperature coupled heat pump according to the temperature difference ratio between the current ambient temperature and the default temperature of the auxiliary defrost equipment. While ensuring the defrosting effect, the auxiliary defrost equipment can also be adaptively adjusted according to the ambient temperature, which is conducive to improving the intelligence of the auxiliary defrost of the low-temperature coupled heat pump.

[0137] Embodiment 8:

[0138] Based on Example 1, an intelligent defrost control system for a low temperature coupled heat pump is provided. Figure 3 As shown, including:

[0139] A data acquisition module is used to monitor the current environmental parameters and the water temperature of the primary waterway, and obtain a plurality of current environmental parameters and the primary water temperature respectively;

[0140] The intelligent defrosting module is used to determine whether the primary water temperature is at the freezing critical point when the current environmental parameters are less than or equal to the defrosting critical point and the environmental humidity is greater than, if so, to obtain the real-time target heat from the water tank of the primary water channel based on the secondary heat exchanger to defrost the secondary water channel;

[0141] Otherwise, the water circulation system of the low temperature coupled heat pump is defrosted based on the auxiliary defrosting equipment;

[0142] Wherein, the water circulation system includes a primary waterway and a secondary waterway.

[0143] The beneficial effects of the above technical solution are as follows: the present invention monitors the current environmental parameters and the water temperature of the primary water circuit in real time, and uses the heat of the primary water circuit to defrost the secondary water circuit and intelligently adjusts the defrost heating process while ensuring that the primary water circuit will not freeze and will not affect its normal working state, so as to reduce the impact of frosting on the secondary water circuit, or turns on the auxiliary defrost equipment to defrost the circulating water system of the heat pump when the primary water cooling temperature is too low, thereby ensuring the stable operation of the heat pump system to the greatest extent.

[0144] Embodiment 9:

[0145] Based on Example 8, the intelligent defrosting module includes:

[0146] A strategy generating unit, for determining a defrosting heat acquisition strategy for the secondary water path in the current period based on the temperature variation characteristics of the current environment and defrosting reference data;

[0147] A heat determination unit, used to determine a real-time target heat extraction of a heat exchanger based on a defrosting heat extraction strategy;

[0148] An intelligent judgment unit is used to judge whether the real-time target heat is less than the adjustable heat of the primary water circuit. If so, the heat equal to the real-time target heat is obtained from the primary water circuit based on the secondary heat exchanger, and the secondary water circuit is defrosted based on the heat.

[0149] Otherwise, the final heat transfer corresponding to the primary waterway is determined according to the real-time target heat transfer and the preset acquisition ratio, and the heat equal to the final heat transfer is obtained from the primary waterway based on the secondary heat exchanger, and transferred to the surface of the secondary waterway pipe for defrosting;

[0150] At the same time, according to the defrosting heat difference and the transmission heat consumption corresponding to the current environment, the temperature of the auxiliary defrosting equipment laid on the secondary water pipeline is controlled to generate target heat for defrosting assistance.

[0151] The beneficial effects of the above technical solution: the present invention determines the defrost heat acquisition strategy of the secondary water circuit in the current period based on the temperature change characteristics of the current environment and the defrost reference data, provides a basis for defrosting and heating the secondary water circuit based on the water circuit, effectively improves the defrost response speed of the secondary water circuit, reduces the temperature loss of the secondary water circuit, reduces the impact of eliminating frost on the secondary water circuit, and determines the real-time target heat intake of the heat exchanger based on the defrost heat acquisition strategy, thereby achieving rapid response of secondary water circuit defrosting; and determines whether the real-time target heat intake is less than the adjustable heat intake of the primary water circuit. If so, the secondary heat exchanger obtains heat from the primary water circuit that is equal to the real-time target heat intake. If the heat is the same as the real-time target heat, the secondary water circuit is defrosted based on the heat; otherwise, the final heat call corresponding to the primary water circuit is determined according to the real-time target heat call and the preset acquisition ratio, then the heat equal to the final heat call is obtained from the primary water circuit based on the secondary heat exchanger, and transferred to the surface of the secondary water circuit pipeline for defrosting; at the same time, according to the defrosting heat difference and the transmission heat consumption corresponding to the current environment, the temperature of the auxiliary defrosting equipment laid on the secondary water circuit pipeline is controlled to generate target heat for defrosting assistance, ensuring that the primary water circuit will not affect its own operation when defrosting and heating the secondary water circuit, ensuring the stable operation of the heat pump system, and providing guarantee for the normal heating of the heat pump.

[0152] Embodiment 10:

[0153] Based on Example 9, the policy generating unit includes:

[0154] An intelligent prediction unit is used to generate a benchmark based on the defrost critical point, extract the temperature change characteristics of the current environment, and determine the temperature rise and fall trend of the current environment based on the temperature change characteristics;

[0155] Based on the temperature rise and fall trend combined with the environmental parameter changes corresponding to the associated weather forecast in the area where the low-temperature coupled heat pump is currently used, determine the predicted change range of different types of environmental reference parameters in the current period;

[0156] An intelligent screening subunit, configured to screen the defrost reference data based on the predicted variation range, determine the corresponding one or more reference intervals, and obtain the optimal reference heat consumption corresponding to the one or more reference intervals respectively;

[0157] The strategy generation subunit is used to generate a defrosting strategy for the secondary water circuit in the current period based on the optimal reference heat consumption and in combination with the predicted variation range of different types of environmental reference parameters in the current period.

[0158] The beneficial effects of the above technical solution are as follows: the present invention first generates a benchmark based on the defrost critical point, extracts the temperature change characteristics of the current environment, and determines the temperature rise and fall trend of the current environment based on the temperature change characteristics; based on the temperature rise and fall trend combined with the environmental parameter changes corresponding to the associated weather forecast of the current use area of ​​the low-temperature coupled heat pump, determines the predicted change range of different types of environmental reference parameters in the current time period; then based on the predicted change range, the defrost reference data is screened to determine the corresponding one or more reference intervals, and the optimal reference heat consumption corresponding to one or more reference intervals is obtained respectively; finally, based on the optimal reference heat consumption and combined with the predicted change range of different types of environmental reference parameters in the current time period, a defrost strategy for the secondary water circuit in the current time period is generated, which provides a basis for obtaining defrost heat for the secondary water circuit in the current time period. Excessive heat obtained during the defrosting process of the secondary water circuit leads to waste of resources, or too little heat is obtained to achieve the defrosting purpose, thereby eliminating the impact of frosting on the secondary water circuit.

[0159] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. An intelligent defrosting control method for a low temperature coupled heat pump, characterized in that: include: Monitor the current environmental parameters and the water temperature of the primary waterway to obtain multiple current environmental parameters and primary water temperatures respectively; When the current environmental parameter is less than or equal to the defrosting critical point, it is determined whether the primary water temperature is greater than the freezing critical point. If so, the secondary water circuit is defrosted by obtaining heat from the water tank of the primary water circuit in real time based on the secondary heat exchanger; Otherwise, the water circulation system of the low temperature coupled heat pump is defrosted based on the auxiliary defrosting equipment; Wherein, the water circulation system includes a primary waterway and a secondary waterway.

2. The intelligent defrosting control method of a low temperature coupled heat pump according to claim 1, characterized in that: Monitor the current environmental parameters and the water temperature of the primary waterway to obtain the current environmental temperature and the primary water temperature respectively; include: Based on a preset cycle, the current environmental parameters and the water temperature of the first water channel are collected respectively to obtain the current environmental parameters and the first-level water temperature; Among them, the current environmental parameters include ambient temperature, ambient humidity and current ambient air pressure; The current ambient temperature and the first-level water temperature are sent to the ambient temperature data set and the first water channel temperature data set for storage respectively.

3. The intelligent defrosting control method for a low temperature coupled heat pump according to claim 1, characterized in that: The heat exchanger obtains the heat of the primary water circuit to defrost the secondary water circuit, including: Based on the temperature change characteristics of the current environment and the defrosting reference data, determine the defrosting heat acquisition strategy for the secondary water circuit in the current period; Based on the defrost heat acquisition strategy, determine the real-time target heat extraction of the heat exchanger; and determining whether the real-time target heat is less than the adjustable heat of the primary water circuit. If so, obtaining heat equal to the real-time target heat from the primary water circuit based on the secondary heat exchanger, and defrosting the secondary water circuit based on the heat; Otherwise, the final heat transfer corresponding to the primary waterway is determined according to the real-time target heat transfer and the preset acquisition ratio, and the heat equal to the final heat transfer is obtained from the primary waterway based on the secondary heat exchanger, and transferred to the surface of the secondary waterway pipe for defrosting; At the same time, according to the defrosting heat difference and the transmission heat consumption corresponding to the current environment, the temperature of the auxiliary defrosting equipment laid on the secondary water pipeline is controlled to generate target heat for defrosting assistance.

4. The intelligent defrosting control method of a low temperature coupled heat pump according to claim 3, characterized in that: Based on the temperature change characteristics of the current environment and the defrosting reference data, determine the defrosting heat acquisition strategy for the secondary water circuit in the current period, including: The defrost critical point is used to generate a benchmark, and the temperature change characteristics of the current environment are extracted. Based on the temperature change characteristics, the temperature rise and fall trend of the current environment is determined; Based on the temperature rise and fall trend combined with the environmental parameter changes corresponding to the associated weather forecast in the area where the low-temperature coupled heat pump is currently used, determine the predicted change range of different types of environmental reference parameters in the current period; Based on the predicted variation range, the defrost reference data is screened to determine the corresponding one or more reference intervals, and the optimal reference heat consumption corresponding to the one or more reference intervals is obtained respectively; Based on the optimal reference heat consumption and in combination with the predicted variation ranges of different types of environmental reference parameters in the current period, a defrosting strategy for the secondary water circuit in the current period is generated.

5. The intelligent defrosting control method of a low temperature coupled heat pump according to claim 4, characterized in that: Also includes: Obtain defrost record data of the circulating water circuit of the low-temperature coupled heat pump, obtain the heat consumption data of successful defrosting under different environmental parameters based on the defrost record data, classify the heat consumption data based on the similarity of the environmental parameters, obtain multiple data intervals, and determine the parameter intervals corresponding to various environmental parameters in each data interval respectively, generate interval labels and add them to the corresponding data intervals; Extract the distribution characteristics of the calorie consumption data in each data interval respectively, and compare the distribution characteristics with the preset distribution characteristics. If the characteristic differences between the two are less than the preset maximum allowable error, the data interval is determined to be a reference interval; Otherwise, the data interval is merged with an adjacent non-reference interval to obtain a merged data interval, and if there is no adjacent non-reference interval for the data interval, the data interval is regarded as a special data interval; The merged data interval or special data interval is split according to the preset distribution characteristics and the maximum allowable error-free state to obtain at least two reference intervals that meet the preset distribution characteristics, and the interval label is added and updated according to the changes in various environmental parameters corresponding to the reference intervals; Obtaining the average calorie consumption, maximum calorie consumption, minimum calorie consumption and actual characteristic difference corresponding to each reference interval, and calculating the data instability index of the corresponding reference interval according to the average calorie consumption, maximum calorie consumption and minimum calorie consumption; Based on the actual characteristic difference, the data aggregation error of the corresponding reference interval is determined, and the consumption correction index of the reference interval is obtained in combination with the data instability index, and the average caloric consumption is corrected based on the data correction index to obtain the optimal reference caloric consumption corresponding to the reference interval; The defrost reference data is generated based on the optimal reference heat consumption corresponding to all reference intervals.

6. The intelligent defrosting control method for a low temperature coupled heat pump according to claim 4, characterized in that: Based on the defrost heat acquisition strategy, before determining the real-time target heat extraction of the heat exchanger, it also includes: Determine whether various actual environmental parameters of the current environment are within the corresponding predicted environmental parameter ranges. If so, determine the final target heat extraction of the heat exchanger based on the defrosting heat extraction strategy. Otherwise, obtain the out-of-range environmental parameters and the average errors of the upper and lower limits of the predicted environmental parameter range corresponding to the out-of-range environmental parameters, and obtain the parameter calibration index corresponding to the out-of-range environmental parameters based on the frost layer influence weights of different environmental parameters in the current ambient temperature range and the corresponding average errors; add the parameter calibration indices corresponding to all the out-of-range environmental parameters to obtain the heat calibration coefficient; Based on the heat extraction calibration index, the target real-time heat extraction corresponding to the defrost heat acquisition strategy is calibrated to obtain the final real-time target heat extraction; At the same time, the rate error between the average change amplitude of each environmental parameter in the current time period and the average change amplitude of the corresponding predicted change range is calculated, and based on the rate error, the environmental parameter changes corresponding to the associated weather forecast of the current use area of ​​the low-temperature coupled heat pump are fine-tuned to obtain the exclusive environmental parameter prediction results of the low-temperature coupled heat pump, and the predicted change ranges of different types of environmental reference parameters in the current time period are synchronously corrected according to the exclusive environmental parameter prediction results.

7. The intelligent defrosting control method for a low temperature coupled heat pump according to claim 3, characterized in that: Defrosting the water circulation system of the low temperature coupled heat pump based on auxiliary defrosting equipment, including: Get the temperature difference ratio between the current ambient temperature and the default temperature of the auxiliary defrost equipment; When the temperature difference ratio is less than or equal to the first-level threshold, the auxiliary defrosting device maintains the default temperature; When the temperature difference ratio is greater than the primary threshold and less than the secondary threshold, the temperature switching value of the auxiliary defrosting device is controlled to be the primary defrosting temperature; When the temperature difference ratio is equal to or greater than the secondary threshold, the temperature of the auxiliary defrosting device is controlled to switch to the secondary defrosting temperature.

8. An intelligent defrost control system for a low temperature coupled heat pump, characterized in that: include: A data acquisition module is used to monitor the current environmental parameters and the water temperature of the primary waterway, and obtain a plurality of current environmental parameters and the primary water temperature respectively; The intelligent defrosting module is used to determine whether the primary water temperature is at the freezing critical point when the current environmental parameters are less than or equal to the defrosting critical point and the environmental humidity is greater than, if so, to obtain the real-time target heat from the water tank of the primary water channel based on the secondary heat exchanger to defrost the secondary water channel; Otherwise, the water circulation system of the low temperature coupled heat pump is defrosted based on the auxiliary defrosting equipment; Wherein, the water circulation system includes a primary waterway and a secondary waterway.

9. The intelligent defrost control system of a low temperature coupled heat pump according to claim 8, characterized in that: Intelligent defrost module, including: A strategy generating unit, for determining a defrosting heat acquisition strategy for the secondary water path in the current period based on the temperature variation characteristics of the current environment and defrosting reference data; A heat determination unit, used to determine a real-time target heat extraction of a heat exchanger based on a defrosting heat extraction strategy; An intelligent judgment unit is used to judge whether the real-time target heat is less than the adjustable heat of the primary water circuit. If so, the heat equal to the real-time target heat is obtained from the primary water circuit based on the secondary heat exchanger, and the secondary water circuit is defrosted based on the heat. Otherwise, the final heat transfer corresponding to the primary waterway is determined according to the real-time target heat transfer and the preset acquisition ratio, and the heat equal to the final heat transfer is obtained from the primary waterway based on the secondary heat exchanger, and transferred to the surface of the secondary waterway pipe for defrosting; At the same time, according to the defrosting heat difference and the transmission heat consumption corresponding to the current environment, the temperature of the auxiliary defrosting equipment laid on the secondary water pipeline is controlled to generate target heat for defrosting assistance.

10. The intelligent defrosting control method of a low temperature coupled heat pump according to claim 9, characterized in that: A policy generation unit, comprising: An intelligent prediction unit is used to generate a benchmark based on the defrost critical point, extract the temperature change characteristics of the current environment, and determine the temperature rise and fall trend of the current environment based on the temperature change characteristics; Based on the temperature rise and fall trend combined with the environmental parameter changes corresponding to the associated weather forecast in the area where the low-temperature coupled heat pump is currently used, determine the predicted change range of different types of environmental reference parameters in the current period; An intelligent screening subunit, configured to screen the defrost reference data based on the predicted variation range, determine the corresponding one or more reference intervals, and obtain the optimal reference heat consumption corresponding to the one or more reference intervals respectively; The strategy generation subunit is used to generate a defrosting strategy for the secondary water circuit in the current period based on the optimal reference heat consumption and in combination with the predicted variation range of different types of environmental reference parameters in the current period.

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