Intelligent defrosting control method and system of low-temperature coupled heat pump
By monitoring environmental parameters and water circuit temperature in real time, using the heat from the primary water circuit to defrost the secondary water circuit, and activating auxiliary equipment when necessary, the problem of heat pump frosting in low-temperature environments is solved, achieving stable operation and efficient heating of the heat pump system.
Patent Information
- Application Number
- CN202411523190.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-30
- Publication Date
- 2025-11-25
- Estimated Expiration
- 2044-10-30
AI Technical Summary
In low-temperature environments, frost formation on the surface of the heat pump's circulation pipes increases the heat exchanger's thermal resistance, reduces heat exchange capacity, and affects system performance. Existing technologies struggle to effectively address this issue.
By monitoring environmental parameters and the temperature of the primary water circuit in real time, the system uses the heat from the primary water circuit to defrost the secondary water circuit, and activates auxiliary defrosting equipment when necessary to ensure stable system operation.
It effectively reduces the impact of frost on the secondary water circuit, ensures the stable operation and normal heating of the heat pump system, improves the defrosting response speed, and reduces heat waste.
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Figure CN119268193B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The application relates to the technical field of heat pump defrosting, in particular to an intelligent defrosting control method and system of a low-temperature coupled heat pump. BACKGROUND
[0002] A heat pump is a device that can obtain low-grade heat energy from air, water or soil in nature, and provide high-grade heat energy that can be used by people through work of electric energy, wherein the low-temperature coupled heat pump is an advanced heat pump technology, which realizes the purposes of efficient heating and hot water supply by converting low-temperature heat energy into high-temperature heat energy. In terms of energy saving and environmental protection, the low-temperature heat pump has remarkable effects and provides strong support for sustainable development. However, due to the influence of low-temperature environment, when the environmental temperature is too low or even lower than the frost point temperature, frost will be formed on the surface of the circulating pipeline of the heat pump, which not only increases the heat transfer resistance of the heat exchanger, but also reduces the heat exchange amount and affects the system performance. Specifically, excessive frost on the heat exchanger makes the system deviate from the design condition, and thus affects the system heating performance. Therefore, the application provides an intelligent defrosting control method and system of a low-temperature coupled heat pump. SUMMARY
[0003] The application provides an intelligent defrosting control method and system of a low-temperature coupled heat pump, which monitors the current environment and the temperature of the primary water route in real time, uses the heat of the primary water route to defrost the secondary water route and intelligently adjusts the defrosting and heating process to reduce the influence of frost on the secondary water route, or starts the auxiliary defrosting device to defrost the circulating water system of the heat pump when the temperature of the primary water route is too low, so that the stable operation of the system is maximally ensured.
[0004] The application provides an intelligent defrosting control method of a low-temperature coupled heat pump, which comprises the following steps:
[0005] Monitoring current environmental parameters and the water temperature of the primary water route to obtain a plurality of current environmental parameters and the primary water temperature respectively;
[0006] When the current environmental parameters are less than or equal to the defrosting critical point, it is judged whether the primary water temperature is greater than the freezing critical point, if yes, the real-time target heat quantity is obtained from the water storage tank of the primary water route based on the secondary heat exchanger to defrost the secondary water route;
[0007] Otherwise, the water circulating system of the low-temperature coupled heat pump is defrosted based on the auxiliary defrosting device.
[0008] The water circulating system comprises the primary water route and the secondary water route.
[0009] Preferably, in the intelligent defrosting control method of the low-temperature coupled heat pump, the current environment parameters and the water temperature of the first water circuit are monitored to obtain the current environment temperature and the first water temperature, respectively; the method comprises the following steps:
[0010] Based on the preset period, the current environment parameters and the water temperature of the first water circuit are collected to obtain the current environment parameters and the first water temperature.
[0011] Among them, the current environment parameters include the environment temperature, the environment humidity and the current environment pressure.
[0012] And the current environment temperature and the first water temperature are sent to the environment temperature data set and the first water temperature data set for storage, respectively.
[0013] Preferably, in the intelligent defrosting control method of the low-temperature coupled heat pump, the heat of the first water circuit obtained by the heat exchanger is used to defrost the second water circuit, which comprises the following steps:
[0014] Based on the temperature variation characteristics of the current environment and the defrosting reference data, the defrosting heat acquisition strategy of the second water circuit in the current period is determined.
[0015] Based on the defrosting heat acquisition strategy, the real-time target heat extraction amount of the heat exchanger is determined.
[0016] And it is judged whether the real-time target heat extraction amount is less than the adjustable heat extraction amount of the first water circuit, if yes, the second heat exchanger is used to acquire the same heat as the real-time target heat extraction amount from the first water circuit, and the second water circuit is defrosted based on the heat.
[0017] Otherwise, according to the real-time target heat extraction amount and the preset acquisition ratio, the final heat extraction amount corresponding to the first water circuit is determined, then the second heat exchanger is used to acquire the same heat as the final heat extraction amount from the first water circuit, and the heat is transmitted to the surface of the second water circuit pipeline 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 second water circuit pipeline is controlled to generate a target heat for defrosting assistance.
[0019] Preferably, in the intelligent defrosting control method of the low-temperature coupled heat pump, based on the temperature variation characteristics of the current environment and the defrosting reference data, the defrosting heat acquisition strategy of the second water circuit in the current period is determined, which comprises the following steps:
[0020] A defrosting critical point is generated as a reference to extract the temperature variation characteristics of the current environment, and based on the temperature variation characteristics, the temperature rising and falling trend of the current environment is determined.
[0021] determine a prediction variation range of different kinds of environment reference parameters in the current period based on the temperature variation trend and the variation of the environment parameters corresponding to the current weather forecast of the region where the low-temperature coupled heat pump is currently used;
[0022] determine one or more reference intervals corresponding to the best reference heat consumption of the one or more reference intervals respectively based on the prediction variation range and the defrosting reference data for screening;
[0023] generate a defrosting strategy of the secondary waterway in the current period based on the best reference heat consumption and the prediction variation range of different kinds of environment reference parameters in the current period.
[0024] Preferably, in the intelligent defrosting control method of the low-temperature coupled heat pump, the method further comprises:
[0025] obtain defrosting record data of a circulating waterway of the low-temperature coupled heat pump, obtain heat consumption data of successful defrosting under different environment parameters based on the defrosting record data, classify the heat consumption data based on the similarity of the environment parameters, obtain a plurality of data intervals, and respectively determine parameter intervals corresponding to various environment parameters of each data interval, and generate interval labels added to the corresponding data intervals;
[0026] extract distribution features of the heat consumption data in each data interval respectively, and determine whether the distribution features are compared with preset distribution features, if the features of the two are within a preset maximum allowable error, it is determined that the data interval is a reference interval;
[0027] Otherwise, the data interval and the adjacent non-reference interval are merged to obtain a merged data interval, and if there is no adjacent non-reference interval in the data interval, the data interval is regarded as a special data interval;
[0028] According to the preset distribution features and the maximum allowable error, the merged data interval or the special data interval is split to obtain at least two reference intervals conforming to the preset distribution features, and the interval labels are updated according to the variation of various environment parameters corresponding to the reference intervals;
[0029] obtain the average heat consumption, the maximum heat consumption, the minimum heat consumption and the actual feature difference corresponding to each reference interval, and calculate the data instability index of the corresponding reference interval according to the average heat consumption, the maximum heat consumption and the minimum heat consumption;
[0030] determine the data aggregation error of the corresponding reference interval based on the actual feature difference, obtain the consumption correction index of the reference interval combined with the data instability index, and correct the average heat consumption based on the data correction index to obtain the best reference heat consumption corresponding to the reference interval;
[0031] generate defrosting reference data based on the optimal reference heat consumption corresponding to the whole reference interval.
[0032] Preferably, in the intelligent defrosting control method of the low-temperature coupled heat pump, before determining the real-time target heat extraction amount of the heat exchanger based on the defrosting heat extraction strategy, the method further comprises:
[0033] determining whether all the actual environment parameters of the current environment are within the corresponding predicted environment parameter range, and if so, determining the final target heat extraction amount of the heat exchanger based on the defrosting heat extraction strategy;
[0034] Otherwise, obtaining the average error of the out-of-range environment parameter and the upper and lower limits of the predicted environment parameter range corresponding to the out-of-range environment parameter, obtaining the parameter calibration index corresponding to the out-of-range environment parameter based on the frost layer influence weight of different environment parameters in the current environment temperature interval and the corresponding average error, and adding the parameter calibration indexes corresponding to all out-of-range environment parameters to obtain a heat extraction calibration coefficient.
[0035] Calibrating the target real-time heat extraction amount corresponding to the defrosting heat extraction strategy based on the heat extraction calibration index to obtain the final real-time target heat extraction amount.
[0036] At the same time, the rate error between the average change amplitude of each environment parameter in the current period and the average change amplitude of the corresponding predicted change range is calculated, the environment parameter change corresponding to the associated weather forecast of the current use area of the low-temperature coupled heat pump is fine-tuned based on the rate error, and the exclusive environment parameter prediction result of the low-temperature coupled heat pump is obtained, and the prediction change range of different types of environment reference parameters in the current period is simultaneously corrected according to the exclusive environment parameter prediction result.
[0037] Preferably, in the intelligent defrosting control method of the low-temperature coupled heat pump, the defrosting of the water circulation system of the low-temperature coupled heat pump is performed based on the auxiliary defrosting device, comprising:
[0038] obtaining a temperature difference ratio of the current environment temperature and the default temperature of the auxiliary defrosting device;
[0039] When the temperature difference ratio is less than or equal to a first threshold value, the auxiliary defrosting device maintains the default temperature.
[0040] When the temperature difference ratio is greater than the first threshold value and less than a second threshold value, the temperature switching value of the auxiliary defrosting device is controlled to be a first defrosting temperature.
[0041] When the temperature difference ratio is equal to the second threshold value, the temperature switching value of the auxiliary defrosting device is controlled to be a second defrosting temperature.
[0042] The present application provides an intelligent defrosting control system of a low-temperature coupled heat pump, comprising:
[0043] a data collection module configured to monitor current environmental parameters and a water temperature of a primary water circuit, and to obtain a plurality of current environmental parameters and the water temperature of the primary water circuit, respectively;
[0044] an intelligent defrosting module configured to, when the current environmental parameters are less than or equal to a defrosting threshold and an environmental humidity is greater than a defrosting humidity threshold, determine whether the water temperature of the primary water circuit is at a freezing threshold, and if so, to obtain, based on a secondary heat exchanger, a real-time target heat quantity from a water storage tank of the primary water circuit to defrost the secondary water circuit;
[0045] otherwise, to defrost the water circulation system of the low-temperature coupled heat pump based on an auxiliary defrosting device;
[0046] The water circulation system includes the primary water circuit and the secondary water circuit.
[0047] Preferably, in an intelligent defrosting control system of a low-temperature coupled heat pump, the intelligent defrosting module includes:
[0048] a strategy generation unit configured to determine a defrosting heat quantity acquisition strategy of the secondary water circuit in a current time period based on temperature variation characteristics of the current environment and defrosting reference data;
[0049] a heat quantity determination unit configured to determine a real-time target heat quantity of the heat exchanger based on the defrosting heat quantity acquisition strategy;
[0050] an intelligent determination unit configured to determine whether the real-time target heat quantity is less than an adjustable heat quantity of the primary water circuit, and if so, to obtain, based on the secondary heat exchanger, a heat quantity identical to the real-time target heat quantity from the primary water circuit, and to defrost the secondary water circuit based on the heat quantity;
[0051] otherwise, to determine a final adjustable heat quantity of the primary water circuit according to the real-time target heat quantity and a preset acquisition ratio, to obtain, based on the secondary heat exchanger, a heat quantity identical to the final adjustable heat quantity from the primary water circuit, and to transfer the heat quantity to a surface of the secondary water circuit pipeline for defrosting;
[0052] Meanwhile, to control an auxiliary defrosting device laid on the secondary water circuit pipeline to generate a target heat quantity for defrosting assistance according to a defrosting heat quantity difference and a transmission heat consumption of the current environment.
[0053] Preferably, in an intelligent defrosting control system of a low-temperature coupled heat pump, the strategy generation unit includes:
[0054] an intelligent prediction unit configured to generate a reference based on a defrosting threshold, to extract temperature variation characteristics of the current environment, and to determine a temperature rise and fall trend of the current environment based on the temperature variation characteristics;
[0055] Determine a predicted variation range of different kinds of environment reference parameters in the current period based on the temperature variation trend and the variation of environment parameters corresponding to the current weather forecast of the low-temperature coupled heat pump in the current use area;
[0056] The intelligent screening subunit screens the defrosting reference data based on the predicted variation range, determines one or more corresponding reference intervals, and respectively acquires the optimal reference heat consumption corresponding to the one or more reference intervals;
[0057] The policy generation subunit generates a defrosting strategy of the secondary waterway in the current period based on the optimal reference heat consumption and the predicted variation range of different kinds of environment reference parameters in the current period.
[0058] Other features and advantages of the present application will be set forth in the following description, and in part will become apparent to those skilled in the art upon examination of the following or can be learned by practice of the present application. The objects and other advantages of the present application can be realized and attained by the structure particularly pointed out in the written description and claims hereof.
[0059] The technical solutions of the present application will be further described in detail below with the help of the accompanying drawings and examples. BRIEF DESCRIPTION OF DRAWINGS
[0060] The accompanying drawings are included to provide a further understanding of the present application, and constitute a part of the specification, illustrate the present application and explain the principles of the present application, and do not constitute a limitation of the present application. In the drawings:
[0061] Figure 1 A flowchart of the intelligent defrosting control method of the low-temperature coupled heat pump of the present application;
[0062] Figure 2 A flowchart of defrosting the secondary waterway based on the heat of the primary waterway acquired by the heat exchanger;
[0063] Figure 3 A structure diagram of the intelligent defrosting control system of the low-temperature coupled heat pump of the present application. DETAILED DESCRIPTION
[0064] The preferred embodiments of the present application will be described below with the help of the accompanying drawings, and it should be understood that the preferred embodiments described herein are only used to illustrate and explain the present application, and do not limit the present application.
[0065] Example 1:
[0066] The present application provides an intelligent defrosting control method of a low-temperature coupled heat pump, as shown in Figure 1 The method comprises the following steps:
[0067] monitoring the current environment parameters and the water temperature of the first water path, and obtaining a plurality of current environment parameters and the first water temperature respectively;
[0068] When the current environment parameters are less than or equal to the defrosting critical point, it is determined whether the first water temperature is greater than the icing critical point, and if so, the real-time target heat quantity is obtained from the water storage tank of the first water path based on the secondary heat exchanger to defrost the secondary water path;
[0069] Otherwise, the water circulation system of the low-temperature coupled heat pump is defrosted based on the auxiliary defrosting device.
[0070] The water circulation system comprises the first water path and the second water path.
[0071] In this embodiment, the first water path is a water path corresponding to a natural energy pump group such as an air source, a wind source, and a geothermal source, and the second water cooling is an energy that needs to be paid for use such as gas and electric energy.
[0072] In this embodiment, the auxiliary defrosting device refers to a heating device that can be fixedly arranged on a pipeline, such as a heat tape and a heating blanket.
[0073] The above technical scheme has the beneficial effects: the present application monitors the current environment parameters and the water temperature of the first water path in real time, and defrosts the second water path using the heat of the first water path and intelligently adjusts the defrosting and heating process to reduce the influence of frost on the second water path, or opens the auxiliary defrosting device to defrost the circulating water system of the heat pump when the first water cooling temperature is too low, thereby maximizing the stable operation of the heat pump system.
[0074] Embodiment 2:
[0075] On the basis of embodiment 1, the current environment parameters and the water temperature of the first water path are monitored to obtain the current environment temperature and the first water temperature respectively; comprising:
[0076] Based on a preset period, the current environment parameters and the water temperature of the first water path are collected to obtain the current environment parameters and the first water temperature respectively;
[0077] The current environment parameters include the environment temperature, the environment humidity, and the current environment pressure.
[0078] The current environment temperature and the first water temperature are sent to an environment temperature data set and a first water path temperature data set respectively for storage.
[0079] The beneficial effects of the above technical solutions are: based on the preset period, the current environment parameters and the water temperature of the first waterway are collected respectively to obtain the current environment parameters and the first water temperature; and the current environment temperature and the first water temperature are respectively sent to the environment temperature data set and the first waterway temperature data set for storage, thereby realizing automatic monitoring of the heat pump use environment and the first waterway temperature and automatic storage of the monitoring data.
[0080] Embodiment 3:
[0081] Based on the heat exchanger, the heat of the first waterway is obtained to defrost the second waterway, such as Figure 2 as shown, comprising:
[0082] Based on the temperature change characteristics of the current environment and the defrosting reference data, a defrosting heat acquisition strategy of the second waterway in the current time period is determined;
[0083] Based on the defrosting heat acquisition strategy, a real-time target heat extraction amount of the heat exchanger is determined;
[0084] And it is judged whether the real-time target heat extraction amount is less than the adjustable heat extraction amount of the first waterway, if yes, the second heat exchanger is based on the first waterway to acquire the same heat as the real-time target heat extraction amount, and the second waterway is defrosted based on the heat;
[0085] Otherwise, according to the real-time target heat extraction amount and the preset acquisition ratio, the final extraction heat amount of the first waterway is determined, then the second heat exchanger is based on the first waterway to acquire the same heat as the final extraction heat amount, and the heat is transmitted to the surface of the second waterway pipeline 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 second waterway pipeline is controlled to generate a target heat for defrosting assistance.
[0087] In this embodiment, the current time period refers to a period of time (for example, 1 hour, 2 hours, 5 hours, etc.) with the current time as the starting point, 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 second water cooling at the current time point. The preset acquisition ratio trend range is 60%-85%, which avoids the problem of too low water temperature of the first waterway caused by too much heat acquisition, affecting the waterway circulation. The adjustable heat extraction amount refers to the heat stored in the first waterway.
[0089] The beneficial effects of the above technical solutions are: 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, which provides a basis for defrosting heating based on the secondary water circuit and the water circuit, effectively improves the defrosting response speed of the secondary water circuit, reduces the loss of the temperature of the secondary water circuit, reduces the influence of frost elimination on the secondary water circuit, based on the defrosting heat acquisition strategy, the real-time target heat extraction amount of the heat exchanger is determined, the rapid response of the secondary water circuit defrosting is realized; and whether the real-time target heat extraction amount is less than the adjustable heat extraction amount of the primary water circuit is judged, if yes, the secondary heat exchanger acquires the same heat as the real-time target heat extraction amount from the primary water circuit, and defrosts the secondary water circuit based on the heat; otherwise, according to the real-time target heat extraction amount and the preset acquisition ratio, the final extraction heat of the primary water circuit is determined, then the secondary heat exchanger acquires the same heat as the final extraction heat from the primary water circuit, and the heat is transmitted 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 a target heat for defrosting assistance, so that the primary water circuit can defrost and heat the secondary water circuit without affecting its own operation, ensuring the stable operation of the heat pump system and providing protection for the normal heating of the heat pump.
[0090] Embodiment 4:
[0091] 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] A defrosting critical point is generated as a reference to extract the temperature change characteristics of the current environment, and based on the temperature change characteristics, the temperature rising and falling trend of the current environment is determined;
[0093] Based on the temperature rising and falling trend, the environmental parameter changes corresponding to the associated weather forecast of the current use area of the low-temperature coupled heat pump are determined, and the prediction change range of different kinds of environmental reference parameters in the current period is determined;
[0094] Based on the prediction change range, the defrosting reference data is filtered to determine one or more corresponding reference intervals, and the best reference heat consumption corresponding to one or more reference intervals is obtained;
[0095] Based on the best reference heat consumption, the defrosting strategy of the secondary water circuit in the current period is generated in combination with the prediction change range of different kinds of environmental reference parameters in the current period.
[0096] In this embodiment, the prediction change range includes the change range of the temperature, humidity and pressure of the environment in the current period.
[0097] The beneficial effects of the above technical solutions are: firstly, the present application generates a reference based on a defrosting critical point, extracts the temperature change characteristics of the current environment, determines the temperature rising and falling trend of the current environment based on the temperature change characteristics, determines the predicted change range of different kinds of environmental reference parameters in the current period based on the temperature rising and falling trend in combination with the environmental parameter changes corresponding to the associated weather forecast of the current use area of the low-temperature coupled heat pump, then filters the defrosting reference data based on the predicted change range to determine one or more corresponding reference intervals, respectively acquires the optimal reference heat consumption corresponding to one or more reference intervals, and finally generates a defrosting strategy for the secondary waterway in the current period based on the optimal reference heat consumption in combination with the predicted change range of different kinds of environmental reference parameters in the current period, thereby providing a basis for the acquisition of defrosting heat of the secondary waterway in the current period, eliminating the influence of frost on the secondary waterway, and avoiding the waste of resources caused by excessive heat or the failure to achieve the defrosting purpose caused by insufficient heat.
[0098] Embodiment 5:
[0099] Based on the embodiment 4, the intelligent defrosting control method of the low-temperature coupled heat pump further comprises:
[0100] acquiring defrosting record data of the circulating waterway of the low-temperature coupled heat pump, acquiring heat consumption data of successful defrosting under different environmental parameters based on the defrosting record data, classifying the heat consumption data based on the similarity of the environmental parameters, obtaining a plurality of data intervals, and respectively determining the parameter intervals corresponding to various environmental parameters of each data interval, and generating interval labels added to the corresponding data intervals;
[0101] respectively extracting the distribution characteristics of the heat consumption data in each data interval, and judging that the distribution characteristics are compared with the preset distribution characteristics, if the feature difference between the two is within the preset maximum allowable error, it is determined that the data interval is a reference interval;
[0102] Otherwise, the data interval and the adjacent non-reference interval are merged to obtain a merged data interval, and if the data interval does not exist adjacent non-reference interval, the data interval is regarded as a special data interval;
[0103] According to the preset distribution characteristics and the maximum allowable error, the merged data interval or the special data interval is split to obtain at least two reference intervals conforming to the preset distribution characteristics, and the interval label addition is updated according to the change of various environmental parameters corresponding to the reference interval;
[0104] acquiring the average heat consumption, the maximum heat consumption, the minimum heat consumption and the actual feature difference corresponding to each reference interval, and calculating the data instability index of the corresponding reference interval according to the average heat consumption, the maximum heat consumption and the minimum heat consumption.
[0105] Based on the actual feature difference, the data aggregation error of the corresponding reference interval is determined, the data instability index is combined to obtain the consumption correction index of the reference interval, the average heat consumption is corrected based on the data correction index to obtain the best reference heat consumption corresponding to the reference interval;
[0106] Based on the best reference heat consumption corresponding to all reference intervals, defrosting reference data is generated.
[0107] In this embodiment, the defrosting record data refers to the defrosting historical record data of the low-temperature coupled heat pump water circulation system, including defrosting heat consumption and its corresponding environmental parameters, etc.
[0108] In this embodiment, the environmental parameter similarity refers to the similarity between the environmental parameters corresponding to the defrosting record data, including the similarity of temperature, humidity and pressure, which is the sum of the three.
[0109] In this embodiment, the data interval refers to the data interval formed by the heat consumption data corresponding to the defrosting record data whose environmental parameter similarity is within the preset interval (the value range is [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 the heat consumption data in the data interval, and for the concentrated distribution area, the discrete distribution of all heat consumption data in the parameter interval, the higher the dispersion, the more dispersed the data distribution in the interval.
[0112] In this embodiment, the preset distribution feature refers to the heat consumption data in the data interval in the interval being concentrated around a certain point and conforming to the normal distribution law.
[0113] In this embodiment, the maximum allowable error refers to the preset maximum distribution difference degree, and the value is in (0.1, 0.3).
[0114] In this embodiment, the non-reference interval refers to the data interval that is not the reference interval.
[0115] In this embodiment, the data instability index refers to the average value of the sum of the maximum heat consumption and the minimum heat consumption. It is used to determine the fluctuation amplitude of the data in the reference interval, and the smaller the fluctuation amplitude, the more representative the heat consumption is to the data in the reference interval.
[0116] In this embodiment, the actual feature difference refers to the difference between the distribution feature and the preset distribution feature in the reference interval, that is, the data aggregation error.
[0117] In this embodiment, the consumption correction index is a value obtained by multiplying the data instability index A by (A+1) and the data aggregation error B.
[0118] The beneficial effects of the above technical solution are: the defrosting record data of the circulating water path of the low-temperature coupled heat pump is obtained, the heat consumption data of successful defrosting under different environmental parameters is obtained based on the defrosting record data, the heat consumption data is classified based on the similarity of environmental parameters, a plurality of data intervals are obtained, and parameter intervals corresponding to various environmental parameters in each data interval are respectively determined, interval labels are generated and added to the corresponding data intervals; the distribution characteristics of the heat consumption data in each data interval are extracted respectively, and the distribution characteristics are compared with the preset distribution characteristics; if the feature difference between the two is within the preset maximum allowable error, the data interval is determined as a reference interval; otherwise, the data interval and the adjacent non-reference interval are merged to obtain a merged data interval; if there is no adjacent non-reference interval in the data interval, the data interval is regarded as a special data interval; the merged data interval or the special data interval is split according to the preset distribution characteristics and the maximum allowable error, at least two reference intervals meeting the preset distribution characteristics are obtained, and the interval label addition is updated according to the changes of various environmental parameters corresponding to the reference intervals; the average heat consumption, the maximum heat consumption, the minimum heat consumption, and the actual feature difference corresponding to each reference interval are obtained, the data instability index of the corresponding reference interval is calculated and obtained according to the average heat consumption, the maximum heat consumption, and the minimum heat consumption; the data aggregation error of the corresponding reference interval is determined based on the actual feature difference, the consumption correction index of the reference interval is obtained in combination with the data instability index, the average heat consumption is corrected based on the data correction index, and the best reference heat consumption corresponding to the reference interval is obtained; the defrosting reference data is generated based on the best reference heat consumption corresponding to all reference intervals, which provides a reference for the intelligent adjustment and heating process of the heat of the first water path to defrost the second water path, and effectively improves the intelligent adjustment efficiency and the accuracy of defrosting heat acquisition.
[0119] Embodiment 6:
[0120] On the basis of embodiment 4, before determining the real-time target heat extraction amount of the heat exchanger based on the defrosting heat acquisition strategy, the following steps are further included:
[0121] It is judged whether the various actual environmental parameters of the current environment are all within the corresponding predicted environmental parameter range; if yes, the final target heat extraction amount of the heat exchanger is determined based on the defrosting heat acquisition strategy;
[0122] Otherwise, the average error of the out-of-range environmental parameters and the upper and lower limits of the predicted environmental parameter range corresponding to the out-of-range environmental parameters is obtained, the parameter calibration index corresponding to the out-of-range environmental parameters is obtained based on the frost layer influence weight of different environmental parameters in the current environmental temperature interval and the average error corresponding thereto, and the heat extraction calibration coefficient is obtained by adding the parameter calibration indexes corresponding to all out-of-range environmental parameters.
[0123] Based on the heat extraction calibration index, the target real-time heat extraction amount corresponding to the defrosting heat extraction strategy is calibrated to obtain a final real-time target heat extraction amount.
[0124] Meanwhile, the rate error between the average change amplitude of each environmental parameter in the current period and the average change amplitude of the predicted change range corresponding thereto is calculated, the environmental parameter change corresponding to the associated weather forecast of the current use area of the low-temperature coupled heat pump is fine-tuned based on the rate error, and the exclusive environmental parameter prediction result of the low-temperature coupled heat pump is obtained. According to the exclusive environmental parameter prediction result, the predicted change range of different types of environmental reference parameters in the current period is simultaneously corrected.
[0125] In this embodiment, the predicted environmental parameter range refers to the change range of a certain environmental parameter corresponding to the real-time target heat extraction amount in the generation process of the target defrosting heat extraction strategy.
[0126] In this embodiment, the frost layer influence weight refers to the influence weight of various environmental parameters on the frost layer corresponding to the current environment. The weight distribution corresponding to different environmental temperature intervals is different. For example, when the temperature is-10-0℃, the frost layer influence weights of temperature, humidity and pressure are 0.25, 0.4 and 0.35 respectively; when the temperature is-30-10℃, the frost layer influence weights of temperature, humidity and pressure are 0.3, 0.35 and 0.35 respectively; when the temperature is-45-30℃, the frost layer influence weights of temperature, humidity and pressure are 0.35, 0.35 and 0.3 respectively. The actual frost layer influence weight is determined by the low-temperature coupled heat pump according to the actual use area of the environmental parameter before the factory. The low-temperature coupled heat pump use area different frost layer influence weight parameter calibration coefficient refers to the error calibration coefficient corresponding to a certain out-of-range environmental parameter; the heat extraction calibration coefficient refers to the error calibration coefficient corresponding to all out-of-range environmental parameters.
[0127] The beneficial effects of the above technical solutions are: before determining the real-time target heat extraction amount of the heat exchanger based on the defrosting heat extraction strategy, it is judged whether various actual environment parameters of the current environment are all within the corresponding predicted environment parameter range, if not, it indicates that the result corresponding to the defrosting heat extraction strategy is not actual, if not, the average error of the out-of-range environment parameter and the upper and lower limits of the predicted environment parameter range corresponding to the out-of-range environment parameter is obtained, based on the frost layer influence weight of different environment parameters in the current environment temperature interval, combined with the corresponding average error, the parameter calibration index corresponding to the out-of-range environment parameter is obtained; the parameter calibration indexes corresponding to all out-of-range environment parameters are added to obtain a heat extraction calibration coefficient; based on the heat extraction calibration index, the target real-time heat extraction amount corresponding to the defrosting heat extraction strategy is calibrated to obtain the final real-time target heat extraction amount, which realizes the purpose of correcting the real-time target heat extraction amount according to the actual environment parameter, can maximize the real-time target heat extraction amount to be more consistent with the frost formation condition of the pipe surface of the secondary waterway under the condition of no defrosting, and ensure that the heat based on the primary waterway obtains the best defrosting effect for defrosting the secondary waterway; at the same time, the rate error between the average change amplitude of each environment parameter in the current period and the average change amplitude of the corresponding predicted change range is calculated, the environment parameter change corresponding to the associated weather forecast of the current use area of the low-temperature coupled heat pump is fine-tuned based on the rate error, the exclusive environment parameter prediction result of the low-temperature coupled heat pump is obtained, and the prediction change range of different types of environment reference parameters in the current period is simultaneously corrected according to the exclusive environment parameter prediction result, so that the prediction change range of different types of environment reference parameters in the current period is more consistent with the actual parameters of the actual use position of the current low-temperature coupled heat pump, which is beneficial to improve the accuracy of the subsequent defrosting heat extraction strategy.
[0128] Embodiment 7:
[0129] Based on the auxiliary defrosting equipment, the water circulation system of the low-temperature coupled heat pump is defrosted on the basis of embodiment 3, comprising:
[0130] Obtain the temperature difference ratio of the current environment temperature and the default temperature of the auxiliary defrosting equipment;
[0131] When the temperature difference ratio is less than or equal to the first threshold value, the auxiliary defrosting equipment maintains the default temperature;
[0132] When the temperature difference ratio is greater than the first threshold value and less than the second threshold value, the temperature switching value of the auxiliary defrosting equipment is controlled to be the first defrosting temperature;
[0133] When the temperature difference ratio is equal to the second threshold value, the temperature switching value of the auxiliary defrosting equipment is controlled to be the second defrosting temperature.
[0134] In this embodiment, the default temperature is 45℃, the first defrosting temperature is 65℃, and the second defrosting temperature is 85℃.
[0135] In this embodiment, the first threshold value is in the range of [1, 1.25), the second threshold value is in the range of (1.25, 1.5], and the temperature difference ratio is in the range of [1, 2]. The temperature difference ratio is the ratio of the difference between the default temperature of the auxiliary defrosting device and the current environmental temperature (in the range of (-45, 0]) and the default temperature of the auxiliary defrosting device.
[0136] The beneficial effects of the above technical solution are: the present application determines the device temperature of the auxiliary defrosting device for defrosting and heating the entire water circulation system of the low-temperature coupled heat pump according to the temperature difference ratio of the current environmental temperature and the default temperature of the auxiliary defrosting device, which not only ensures the defrosting effect, but also realizes self-adaptive adjustment of the auxiliary defrosting device according to the environmental temperature, thereby improving the intelligence of the low-temperature coupled heat pump auxiliary defrosting.
[0137] Embodiment 8:
[0138] Based on embodiment 1, an intelligent defrosting control system of a low-temperature coupled heat pump, as shown in Figure 3 , comprises:
[0139] A data acquisition module is configured to monitor the current environmental parameters and the water temperature of the first water circuit, and obtain a plurality of current environmental parameters and the first water temperature, respectively.
[0140] An intelligent defrosting module is configured to determine whether the first water temperature is at the icing critical point when the current environmental parameters are less than or equal to the defrosting critical point and the environmental humidity is greater than, and if so, to obtain the real-time target heat extraction from the water storage tank of the first water circuit based on the second heat exchanger to defrost the second water circuit.
[0141] Otherwise, defrost the water circulation system of the low-temperature coupled heat pump based on the auxiliary defrosting device.
[0142] The water circulation system comprises the first water circuit and the second water circuit.
[0143] The beneficial effects of the above technical solution are: the present application monitors the current environmental parameters and the water temperature of the first water circuit in real time, and under the condition that the first water circuit will not freeze and affect its normal working state, uses the heat of the first water circuit to defrost the second water circuit and intelligently adjusts the defrosting and heating process, so as to reduce the influence of frosting on the second water circuit, or in the case that the first water cooling temperature is too low, the auxiliary defrosting device is started to defrost the circulating water system of the heat pump, thereby maximizing the stable operation of the heat pump system.
[0144] Embodiment 9:
[0145] On the basis of embodiment 8, the intelligent defrosting module comprises:
[0146] A strategy generation unit is configured to determine a defrosting heat acquisition strategy of the secondary waterway in a current time period based on temperature variation characteristics of the current environment and defrosting reference data;
[0147] A heat determination unit is configured to determine a real-time target heat extraction amount of the heat exchanger based on the defrosting heat acquisition strategy;
[0148] An intelligent judgment unit is configured to judge whether the real-time target heat extraction amount is less than the extractable heat amount of the primary waterway, and if so, acquire the same amount of heat from the primary waterway by the secondary heat exchanger based on the real-time target heat extraction amount, and defrost the secondary waterway based on the heat.
[0149] Otherwise, determine a final heat extraction amount of the primary waterway corresponding to the real-time target heat extraction amount according to the real-time target heat extraction amount and a preset acquisition ratio, acquire the same amount of heat from the primary waterway by the secondary heat exchanger based on the final heat extraction amount, and transfer the heat to the surface of the secondary waterway pipeline for defrosting.
[0150] Meanwhile, control the temperature of the auxiliary defrosting equipment laid on the secondary waterway pipeline to generate a target heat amount for defrosting assistance according to the defrosting heat difference and the transmission heat consumption corresponding to the current environment.
[0151] The above technical solution has the following beneficial effects: Based on the temperature variation characteristics of the current environment and the defrosting reference data, the defrosting heat acquisition strategy of the secondary waterway in the current time period is determined, which provides a basis for defrosting and heating of the secondary waterway based on the primary waterway, effectively improves the defrosting response speed of the secondary waterway, reduces the loss of the temperature of the secondary waterway, reduces the influence of frost elimination on the secondary waterway, determines the real-time target heat extraction amount of the heat exchanger based on the defrosting heat acquisition strategy, realizes the rapid response of the secondary waterway defrosting, judges whether the real-time target heat extraction amount is less than the extractable heat amount of the primary waterway, and if so, acquires the same amount of heat from the primary waterway by the secondary heat exchanger based on the real-time target heat extraction amount, and defrosts the secondary waterway based on the heat. Otherwise, determine a final heat extraction amount of the primary waterway corresponding to the real-time target heat extraction amount according to the real-time target heat extraction amount and a preset acquisition ratio, acquire the same amount of heat from the primary waterway by the secondary heat exchanger based on the final heat extraction amount, and transfer the heat to the surface of the secondary waterway pipeline for defrosting. Meanwhile, control the temperature of the auxiliary defrosting equipment laid on the secondary waterway pipeline to generate a target heat amount for defrosting assistance according to the defrosting heat difference and the transmission heat consumption corresponding to the current environment, ensure that the primary waterway will not affect its own operation when defrosting and heating the secondary waterway, and ensure the stable operation of the heat pump system, thereby providing protection for the normal heating of the heat pump.
[0152] Embodiment 10:
[0153] On the basis of embodiment 9, the strategy generation unit comprises:
[0154] The intelligent prediction unit is used to extract the temperature change characteristics of the current environment based on the defrost critical point, and to 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 and the corresponding changes in environmental parameters in the weather forecast of the current area where the low-temperature coupled heat pump is used, the predicted range of change of different types of environmental reference parameters in the current period is determined.
[0156] The intelligent filtering subunit is used to filter defrosting reference data based on the predicted range of change, determine one or more corresponding reference intervals, and obtain the optimal reference heat consumption corresponding to one or more reference intervals respectively.
[0157] The strategy generation subunit is used to generate a defrosting strategy for the secondary waterway in the current time period based on the optimal reference heat consumption and the predicted change range of different types of environmental reference parameters in the current time period.
[0158] The beneficial effects of the above technical solution are as follows: First, the present invention uses the defrost critical point as a benchmark to extract the temperature change characteristics of the current environment. 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 and the corresponding environmental parameter changes in the weather forecast of the area where the low-temperature coupled heat pump is currently used, the predicted change range of different types of environmental reference parameters in the current period is determined. Then, based on the predicted change range, the defrost reference data is filtered to determine one or more corresponding 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 the predicted change range of different types of environmental reference parameters in the current period, a defrost strategy for the secondary water circuit is generated in the current period, providing a basis for the acquisition of defrost heat for the secondary water circuit in the current period. This eliminates the impact of frost on the secondary water circuit by preventing excessive heat acquisition during the defrost process, which leads to resource waste, or insufficient heat acquisition, which fails to achieve the defrost purpose.
[0159] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.
Claims
1. A smart defrosting control method for a low-temperature coupled heat pump, characterized in that, include: The current environmental parameters and the water temperature of the primary waterway are monitored, and multiple current environmental parameters and primary water temperatures are obtained respectively. When the current environmental parameters are 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 real-time target heat obtained from the storage tank of the primary water circuit based on the secondary heat exchanger. Otherwise, defrosting is performed on the water circulation system of the low-temperature coupled heat pump using auxiliary defrosting equipment; The water circulation system includes a primary water circuit and a secondary water circuit; The primary waterway is the waterway corresponding to the natural energy pump set, and the secondary waterway is the waterway corresponding to the energy pump set that requires payment. Defrosting of the secondary water circuit is performed by obtaining heat from the primary water circuit through a heat exchanger, including: Based on the current temperature change characteristics and defrosting reference data, the defrosting heat acquisition strategy for the secondary water circuit is determined for the current time period, specifically including: Based on the defrost critical point, the temperature change characteristics of the current environment are extracted, and the temperature rise and fall trend of the current environment is determined based on the temperature change characteristics. Based on the temperature rise and fall trend and the corresponding changes in environmental parameters in the weather forecast of the current area where the low-temperature coupled heat pump is used, the predicted range of change of different types of environmental reference parameters in the current period is determined. Based on the predicted range of change, the defrosting reference data is filtered to determine one or more corresponding reference intervals, and the optimal reference heat consumption corresponding to one or more reference intervals is obtained respectively. Based on the optimal reference heat consumption, and combined with the predicted variation range of different types of environmental reference parameters in the current time period, a defrosting strategy for the secondary water channel is generated in the current time period.
2. The intelligent defrosting control method for a low-temperature coupled heat pump according to claim 1, characterized in that, The current environmental parameters and the water temperature of the primary water channel are monitored to obtain the current ambient 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 to obtain the current environmental parameters and the first-level water temperature. 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 then sent to the ambient temperature dataset and the first water channel temperature dataset, respectively, for storage.
3. The intelligent defrosting control method for a low-temperature coupled heat pump according to claim 1, characterized in that, Defrost the secondary water circuit by obtaining heat from the primary water circuit through a heat exchanger, and also includes: Based on the defrosting heat acquisition strategy, the real-time target heat acquisition of the heat exchanger is determined; And determine whether the real-time target heat is less than the available heat of the primary water circuit. If so, obtain the same amount of heat from the primary water circuit based on the secondary heat exchanger as the real-time target heat, and defrost the secondary water circuit based on the heat. Otherwise, based on the real-time target heat extraction and the preset extraction ratio, the final heat extraction corresponding to the primary water circuit is determined. Then, the heat obtained from the primary water circuit by the secondary heat exchanger is the same as the final heat extraction heat and transferred to the surface of the secondary water circuit pipe for defrosting. Meanwhile, based on the defrosting heat difference and the corresponding heat consumption of 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 for a low-temperature coupled heat pump according to claim 1, characterized in that, Also includes: Acquire defrost record data of the circulating water circuit of the low-temperature coupled heat pump. Based on the defrost record data, acquire heat consumption data of successful defrosting under different environmental parameters. Based on the similarity of environmental parameters, classify the heat consumption data to obtain multiple data intervals. Determine the parameter intervals corresponding to various environmental parameters in each data interval and generate interval labels to add to the corresponding data intervals. Extract the distribution characteristics of heat consumption data in each data interval, and compare the distribution characteristics with the preset distribution characteristics. If the difference between the two characteristics is less than the preset maximum allowable error, the data interval is determined to be the reference interval. Otherwise, the data interval is merged with the adjacent non-reference interval to obtain a merged data interval. If the data interval does not have an adjacent non-reference interval, the data interval is treated 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, so as to obtain at least two reference intervals that meet the preset distribution characteristics, and the interval labels are updated according to the changes of various environmental parameters corresponding to the reference intervals. Obtain the average heat consumption, maximum heat consumption, minimum heat consumption, and actual characteristic differences for each reference interval. Based on the average heat consumption, maximum heat consumption, and minimum heat consumption, calculate the data instability index for the corresponding reference interval. Based on the actual differences in characteristics, the data aggregation error of the corresponding reference interval is determined. Combined with the data instability index, the consumption correction index of the reference interval is obtained. The average heat consumption is corrected based on the data correction index to obtain the optimal reference heat consumption corresponding to the reference interval. Defrosting reference data is generated based on the optimal reference heat consumption corresponding to all reference intervals.
5. The intelligent defrosting control method for a low-temperature coupled heat pump according to claim 1, characterized in that, Before determining the real-time target heat harvesting capacity of the heat exchanger based on the defrosting heat harvesting strategy, the following steps are also included: Determine whether the various actual environmental parameters of the current environment are all within the range of their corresponding predicted environmental parameters. If so, determine the final target heat output of the heat exchanger based on the defrosting heat acquisition strategy. Otherwise, obtain 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. Based on the frost layer influence weight of different environmental parameters under the current environmental temperature range, and combined with their corresponding average errors, obtain the parameter calibration index corresponding to the out-of-range environmental parameters. Add up the parameter calibration indices corresponding to all out-of-range environmental parameters to obtain the heat extraction calibration coefficient. Based on the heat acquisition calibration coefficient, the target real-time heat acquisition corresponding to the defrosting heat acquisition strategy is calibrated to obtain the final real-time target heat acquisition. Simultaneously, the rate error between the average change range of each environmental parameter in the current time period and the average change range of its corresponding predicted change range is calculated. 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. The predicted change range of different types of environmental reference parameters in the current time period is then synchronously corrected based on the exclusive environmental parameter prediction results.
6. The intelligent defrosting control method for a low-temperature coupled heat pump according to claim 3, characterized in that, Defrosting of a low-temperature coupled heat pump water circulation system based on auxiliary defrosting equipment includes: Obtain the ratio of the current ambient temperature to the default temperature of the auxiliary defrosting 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 first-level threshold and less than the second-level threshold, the temperature switching value of the auxiliary defrosting device is controlled to the first-level defrosting temperature. When the temperature difference ratio is equal to or equal to the secondary threshold, the temperature switching value of the auxiliary defrosting device is controlled to be the secondary defrosting temperature.
7. An intelligent defrosting control system for a low-temperature coupled heat pump, characterized in that, include: The data acquisition module is used to monitor the current environmental parameters and the water temperature of the primary water channel, and obtain multiple current environmental parameters and 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 100%. If so, it uses the real-time target heat obtained from the storage tank of the primary water circuit to defrost the secondary water circuit based on the secondary heat exchanger. Otherwise, defrosting is performed on the water circulation system of the low-temperature coupled heat pump using auxiliary defrosting equipment; The water circulation system includes a primary water circuit and a secondary water circuit; The primary waterway is the waterway corresponding to the natural energy pump set, and the secondary waterway is the waterway corresponding to the energy pump set that requires payment. The intelligent defrosting module includes: The strategy generation unit is used to determine the defrosting heat acquisition strategy of the secondary water circuit in the current time period based on the temperature change characteristics of the current environment and defrosting reference data. The strategy generation unit includes: The intelligent prediction subunit is used to extract the temperature change characteristics of the current environment based on the defrost critical point, and to 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 and the corresponding changes in environmental parameters in the weather forecast of the current area where the low-temperature coupled heat pump is used, the predicted range of change of different types of environmental reference parameters in the current period is determined. The intelligent filtering subunit is used to filter defrosting reference data based on the predicted range of change, determine one or more corresponding reference intervals, and obtain the optimal reference heat consumption corresponding to one or more reference intervals respectively. The strategy generation subunit is used to generate a defrosting strategy for the secondary waterway in the current time period based on the optimal reference heat consumption and the predicted change range of different types of environmental reference parameters in the current time period.
8. The intelligent defrosting control system for a low-temperature coupled heat pump according to claim 7, characterized in that, The intelligent defrosting module also includes: The heat determination unit is used to determine the real-time target heat output of the heat exchanger based on the defrost heat acquisition strategy. The intelligent judgment unit is used to determine whether the real-time target heat is less than the available heat of the primary water circuit. If so, the secondary water circuit is defrosted based on the heat obtained from the primary water circuit by the secondary heat exchanger, which is the same as the real-time target heat. Otherwise, based on the real-time target heat extraction and the preset extraction ratio, the final heat extraction corresponding to the primary water circuit is determined. Then, the heat obtained from the primary water circuit by the secondary heat exchanger is the same as the final heat extraction heat and transferred to the surface of the secondary water circuit pipe for defrosting. Meanwhile, based on the defrosting heat difference and the corresponding heat consumption of 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.
Citation Information
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