Intelligent efficient heat pump operation control method and control device

By obtaining the ambient temperature and humidity of the heat pump and combining it with the climate compensation formula to dynamically adjust the temperature and defrost instructions, the problem of energy waste in conventional heat pump control is solved, and energy efficiency is improved and energy consumption is reduced.

CN120667793APending Publication Date: 2025-09-19BEIJING TONGFANG QINGHUAN TECH CO LTD
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Patent Information

Application Number
CN202510886120.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-30
Publication Date
2025-09-19

AI Technical Summary

Technical Problem

Conventional air source heat pumps rely on temperature thresholds and timing control under different load conditions, resulting in energy waste and increased system operating energy consumption, especially when users with hosting needs are unable to make timely adjustments.

Method used

By obtaining the ambient temperature and humidity of the heat pump and combining it with the climate compensation formula to dynamically adjust the temperature and defrost instructions, real-time balance control of heating supply and energy consumption can be achieved, including setting the temperature range according to the ambient temperature and pre-adjusting future temperature data, and timely defrosting to reduce energy waste.

Benefits of technology

Under the premise of ensuring user needs, it is achieved through dynamic temperature adjustment and defrost control to reduce energy loss, improve energy efficiency and reduce energy consumption.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses an intelligent efficient heat pump operation control method and device. The intelligent efficient heat pump operation control method comprises the following steps that the current environment temperature T of the heat pump is obtained; comparing the environment temperature T with a climate compensation formula to determine a temperature adjusting interval instruction; and generating a temperature regulation instruction to regulate and control the temperature according to the temperature regulation interval instruction. The temperature adjusting instruction is determined by combining the temperature of the environment where the heat pump is located with the climate compensation formula, remote dynamic temperature adjusting closely meets the actual requirement is achieved, real-time balance regulation and control over heat supply and energy consumption are achieved, and therefore energy efficiency is improved and energy loss is reduced on the premise that the user requirement is guaranteed.
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Description

Technical Field

[0001] The present application relates to the field of heat pump technology, and in particular to an intelligent and efficient heat pump operation control method and control device. Background Art

[0002] In conventional air source heat pump applications, traditional control devices mostly use simple temperature threshold control or timing control. Under different load conditions, such as at night or during seasonal changes, the heat pump still operates in the preset high-power mode, or the air source heat pump is not defrosted in time, resulting in freezing and other phenomena, causing a large amount of energy to be wasted, resulting in increased system operating energy consumption.

[0003] Especially for users with hosting needs, users are unable to make timely adjustments, and the remote end relying solely on temperature thresholds and timing control will inevitably lead to energy waste. Summary of the Invention

[0004] The first aspect of the present application provides a smart and efficient heat pump operation control method, which includes the following steps: obtaining the current ambient temperature T of the heat pump;

[0005] Comparing the ambient temperature T with a climate compensation formula to determine a temperature adjustment interval instruction;

[0006] A temperature adjustment instruction is generated according to the temperature adjustment interval instruction to adjust the temperature.

[0007] In some modified implementations of the first aspect of the present application, in the aforementioned intelligent and efficient heat pump operation control method, in the step of comparing the ambient temperature T with the climate compensation formula to determine the temperature adjustment interval instruction, the climate compensation formula corresponds to the temperature adjustment interval instruction and includes:

[0008] T<5℃, heat pump set temperature 40 degrees;

[0009] 5℃≤T≤15℃, heat pump set temperature = -1.27*T+46 degrees;

[0010] T>15℃, heat pump set temperature 27 degrees.

[0011] In some modified implementations of the first aspect of the present application, the aforementioned intelligent and efficient heat pump operation control method, wherein the step of comparing the ambient temperature and the climate compensation formula to determine the temperature adjustment interval instruction includes:

[0012] Obtain the temperature data T1 of the environment where the heat pump is located at a specified future time point;

[0013] The temperature adjustment instruction is generated according to the temperature data T1 at the future designated time point and the ambient temperature T.

[0014] In some modified embodiments of the first aspect of the present application, for the aforementioned intelligent and efficient heat pump operation control method, the step of generating the temperature adjustment instruction based on the temperature data T1 at a specified future time point and the ambient temperature T includes:

[0015] Obtain the difference between T1 and T;

[0016] When the difference is negative, add 5 degrees to the temperature adjustment range instruction corresponding to the climate compensation formula;

[0017] When the difference is positive, subtract 5 degrees from the temperature adjustment range instruction corresponding to the climate compensation formula.

[0018] In some modified embodiments of the first aspect of the present application, for the aforementioned intelligent and efficient heat pump operation control method, wherein the specified future time point is at least three hours in the future.

[0019] In some modified embodiments of the first aspect of the present application, the aforementioned intelligent and efficient heat pump operation control method further includes the following steps:

[0020] Obtain the ambient humidity RH where the heat pump is located and the frosting time t of the heat pump;

[0021] When the ambient temperature T < 10 degrees, the ambient humidity RH ≥ the target frost zone humidity, and the frosting time t ≥ the defrosting interval of the target frost zone, it is determined that the defrosting requirement is met and a corresponding defrosting instruction is generated.

[0022] In some modified embodiments of the first aspect of the present application, in the step of determining that the defrosting requirement is met and generating a corresponding defrosting instruction when the ambient temperature T < 10 degrees, the ambient humidity RH ≥ the target frost zone humidity, and the frosting time t ≥ the defrosting interval of the target frost zone:

[0023] The target frost zones include a light frost zone, a heavy frost zone, and an ice zone; 3 degrees < T < 10 degrees is the light frost zone; -6 degrees ≤ T ≤ 3 degrees is the heavy frost zone; T < -6 degrees is the ice zone; <00所诉的智慧高效热泵运营控制装置,还包括:

[0027] A collection unit, which is arranged outside the heat pump and is used to at least collect the ambient temperature T where the heat pump is currently located;

[0028] ​​​​​​a data cache unit, the data cache unit being signal-connected to the acquisition unit and configured to store at least the ambient temperature T;

[0029] A control unit is connected to the data cache unit by signal. A climate compensation formula and a corresponding temperature adjustment interval instruction are pre-stored in the control unit. The control unit can compare the ambient temperature T with the climate compensation formula to determine the corresponding temperature adjustment interval instruction and generate a temperature adjustment instruction based on the temperature adjustment interval instruction and send it to the heat pump group to control the temperature.

[0030] In some modified implementations of the second aspect of the present application, the aforementioned intelligent and efficient heat pump operation control device, wherein the acquisition unit includes a weather acquisition module;

[0031] The weather acquisition module is used to obtain temperature data T1 of the environment where the heat pump is located at a specified time point in the future;

[0032] The control unit can adjust the compensation formula according to the temperature data T1 at the future specified time point and generate a temperature adjustment instruction.

[0033] In some modified implementations of the second aspect of the present application, the aforementioned intelligent and efficient heat pump operation control device, wherein the collection unit includes a humidity collection module;

[0034] The humidity acquisition module is used to obtain the ambient humidity RH of the heat pump;

[0035] The control unit can determine whether the defrosting requirement is met and generate a corresponding defrosting instruction according to the ambient temperature T, the ambient humidity RH and the frost accumulation time t of the heat pump.

[0036] Compared with the existing technology, the intelligent and efficient heat pump operation control method provided by this application determines the temperature adjustment instructions by combining the ambient temperature of the heat pump and the climate compensation formula, and realizes remote dynamic temperature adjustment that closely matches actual needs, thereby achieving real-time balanced regulation of heat supply and energy consumption, thereby improving energy efficiency and reducing energy loss while ensuring user needs; thus solving the problem that existing heat pump regulation relies solely on temperature thresholds and timing control, which inevitably leads to energy waste. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The above and other objects, features and advantages of the exemplary embodiments of the present application will become readily understood by reading the detailed description below with reference to the accompanying drawings. In the accompanying drawings, several embodiments of the present application are shown in an exemplary and non-limiting manner, and the same or corresponding reference numerals represent the same or corresponding parts, wherein:

[0038] Figure 1The first flow chart of the intelligent and efficient heat pump operation control method provided in this embodiment is schematically shown;

[0039] Figure 2 The second flow chart of the intelligent and efficient heat pump operation control method provided in this embodiment is schematically shown;

[0040] Figure 3 The third flow chart of the intelligent and efficient heat pump operation control method provided in this embodiment is schematically shown;

[0041] Figure 4 The following schematically shows a structural block diagram of the intelligent and efficient heat pump operation control device provided in this embodiment;

[0042] Description of the accompanying drawings: acquisition unit 1, temperature sensor 11, weather acquisition module 12, humidity acquisition module 13, data cache unit 2, control unit 3, heat pump 4, data transmission module 5. DETAILED DESCRIPTION

[0043] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments described herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0044] It should be noted that, unless otherwise specified, the technical or scientific terms used in this application should have the common meanings understood by those skilled in the art to which this application belongs.

[0045] The technical solution of the embodiment of the present application is to solve the above technical problems and design an intelligent and efficient heat pump operation control method. The control method can be applied to, but is not limited to, remote coordination of heat pump groups. The overall concept is as follows:

[0046] Example 1

[0047] Reference Attachment Figure 1 The intelligent and efficient heat pump operation control method provided in the embodiment of the present application includes the following steps:

[0048] S1. Obtain the current ambient temperature T of the heat pump 4;

[0049] It can be understood that in this embodiment, the ambient temperature T of the heat pump 4 can be collected by the temperature sensor 11, and the number and location of the temperature sensor 11 can be designed and adjusted according to actual needs, for example, it can be set on the outer surface of the heat pump 4, in the external space outside the heat pump 4 and separated from it, etc.; the area where the heat pump 4 works may be different from the natural external temperature, and thus in this embodiment, the temperature sensor 11 can be set at a position farther away from the heat pump 4, with but not limited to a range of 1m, or multiple temperature sensors 11 can be set at even intervals. Under this setting method, when taking the ambient temperature T, the temperature data collected by the temperature sensors 11 at each interval can be averaged and taken as the ambient temperature T to improve accuracy.

[0050] S2. Compare the ambient temperature T with a climate compensation formula to determine a temperature adjustment interval instruction;

[0051] It is understandable that in order to avoid relying solely on a simple temperature threshold to regulate the heat pump 4, in this embodiment, a climate compensation formula can be set according to different seasons to form temperature range adjustment instructions corresponding to different seasons:

[0052] When the ambient temperature T is less than 5°C, it means it is winter. Then the temperature of the heat pump 4 can be set to 40 degrees to meet the greater heating demand in winter. The temperature of 40 degrees can meet the needs of users in most areas.

[0053] When 5°C ≤ ambient temperature T ≤ 15°C, it means it is spring or autumn. The temperature of heat pump 4 can be set to = -1.27*T + 46 degrees. Because the temperature in spring and autumn fluctuates and the user's needs are also dynamic, the temperature range adjustment instruction can be set to a fluctuating state according to the above formula to better meet the user's needs.

[0054] When the ambient temperature T>15℃, it means it is summer. Then the temperature of the heat pump 4 can be set to 27 degrees to meet the summer cooling needs. The temperature of 27 degrees is a more suitable temperature to prevent overcooling from affecting user health.

[0055] It is also understandable that in this embodiment, the above content can be achieved through the control unit 3. The climate compensation formula is pre-stored in the control unit 3. The control unit 3 obtains the ambient temperature T collected by the remote temperature sensor 11 and executes the above judgment and generation instructions accordingly. Accordingly, in this embodiment, the acquisition and caching of remote data can be achieved through the cooperation of the cloud and the temperature sensor 11, and the control unit 3 can obtain relevant data through the cloud. This setting can be easily understood and implemented by those skilled in the art and will not be described in detail here. In addition, the control unit 3 can also obtain the operating data of the heat pump 4 through the cloud to improve the efficiency of maintenance, repair or remote debugging of the heat pump 4.

[0056] S3, generating a temperature adjustment instruction according to the temperature adjustment interval instruction to adjust the temperature;

[0057] It can be understood that after the temperature adjustment interval instruction is determined according to the ambient temperature T, the instruction is generated and sent to the heat pump 4 accordingly; this process can be that the control unit 3 sends the temperature adjustment instruction to the heat pump group through the cloud. This setting can be easily understood and implemented by those skilled in the art and will not be elaborated here.

[0058] According to the above, the intelligent and efficient heat pump operation control method provided by the present application determines the temperature adjustment instructions by combining the ambient temperature of the heat pump 4 and the climate compensation formula, and realizes remote dynamic temperature adjustment that closely matches actual needs, thereby realizing real-time balanced regulation of heat supply and energy consumption, thereby improving energy efficiency and reducing energy loss while ensuring user needs; thereby solving the problem that the existing heat pump 4 regulation relies solely on temperature thresholds and timing control, which inevitably leads to energy waste.

[0059] The term "and / or" in this article is merely a description of the association relationship between associated objects, indicating that three relationships may exist. For example, A and / or B is specifically understood as: A and B may be included at the same time, A may exist alone, or B may exist alone, and any of the above three situations may exist.

[0060] Further, refer to the attached Figure 2 In the specific implementation of the intelligent and efficient heat pump 4 operation control method provided in this embodiment, the step of comparing the ambient temperature with the climate compensation formula to determine the temperature adjustment interval instruction corresponding to the step may also include

[0061] S21, obtaining temperature data T1 of the environment where the heat pump 4 is located at a specified future time point;

[0062] It is understandable that, in order to prevent excessive fluctuations during the dynamic adjustment process, in this embodiment, when adjusting the temperature of the heat pump 4, reference can be made to the weather conditions of the environment in which the heat pump 4 is located for a period of time in the future to achieve pre-adjustment, thereby avoiding sudden temperature increases or decreases that cause large fluctuations in adjustment, which is not only detrimental to improving energy efficiency but also fails to meet user needs in a timely manner. For example, if a significant temperature drop or rise will occur in the future, adjustments can be made based on the aforementioned climate compensation formula to achieve pre-emptive responsive temperature adjustment. Accordingly, in this embodiment, temperature data T1 at a specified future time point can be acquired through the weather acquisition module 12. The weather acquisition module 12 can be located at the heat pump 4 or at the control unit 3. When the weather acquisition module is located at the heat pump 4, it can detect air pressure, humidity, and light intensity to achieve the purpose of predicting short-term weather. This configuration is easily understood by those skilled in the art and can be simply implemented with the help of relevant sensors, so it will not be described in detail here. Under this configuration, weather data can be transmitted via the cloud. When the weather acquisition module 12 is provided at the control unit 3, it can be GPS or base station positioning in conjunction with the network to obtain weather data for a specified area. This setting is easily understood and implemented by those skilled in the art and is not described in detail here. The future specified time point is at least three hours in the future and can be adjusted according to actual needs to provide sufficient time for pre-adjustment and minimize the volatility of the control.

[0063] S22, generating the temperature adjustment instruction according to the temperature data T1 at the future specified time point and the ambient temperature T;

[0064] It is understandable that the temperature data T1 at a specified time point in the future is used to determine the degree of heating and cooling. In this embodiment, the temperature control instruction can be adjusted according to the degree of heating and cooling, which may include the following situations:

[0065] Get the difference between T1 and T;

[0066] When the difference is negative, the temperature adjustment interval instruction corresponding to the climate compensation formula is increased by 5 degrees;

[0067] It is understood that a negative difference indicates a future temperature drop, and the corresponding output temperature of the heat pump 4 needs to be increased accordingly. For example, in winter, if the temperature drops in the next three hours, the user will need a larger heating capacity, and the temperature adjustment instruction needs to increase by 5 degrees based on 40 degrees. The same applies in spring and autumn, which will not be elaborated here. In summer, if the temperature drops in the next three hours, the user does not need such a large cooling capacity, and 5 degrees can be added to 27 degrees. This can both meet user needs and reduce energy usage and improve energy consumption. It is also understood that in this embodiment, the magnitude of the final temperature increase can be adjusted according to the size of the difference. For example, if the difference is greater than 10, it indicates a large degree of temperature drop, and the final temperature increase can be changed to 8 degrees, 9 degrees, etc.; if the difference is between 5-10, it can be regulated according to the above-mentioned 5-degree increase. If the difference is less than 5, it indicates a small degree of temperature drop, and the final temperature increase can be changed to 2 degrees, 3 degrees, etc.

[0068] When the difference is positive, the temperature adjustment interval instruction corresponding to the climate compensation formula is reduced by 5 degrees;

[0069] It is understood that a positive difference indicates a future temperature increase, and the corresponding output temperature of the heat pump 4 needs to be lowered accordingly. For example, in winter, if the temperature rises in the next three hours, the user will need a smaller heating supply, and the temperature adjustment instruction needs to be reduced by 5 degrees from 40 degrees, which can both meet user needs and reduce energy usage and improve energy consumption. The same applies in spring and autumn, which will not be elaborated here. In summer, if the temperature rises in the next three hours, the user will need a larger cooling capacity, and the temperature can be reduced by 5 degrees from 27 degrees. It is also understood that in this embodiment, the increase in the final temperature value can also be adjusted according to the size of the difference. For example, when the difference is greater than 10, it indicates a large degree of temperature increase, and the final temperature reduction value can be changed to 8 degrees, 9 degrees, etc. When the difference is between 5-10, it can be regulated according to the above-mentioned 5-degree reduction value. When the difference is less than 5, it indicates a small degree of temperature increase, and the final temperature reduction value can be changed to 2 degrees, 3 degrees, etc.

[0070] Further, refer to the attached Figure 3 In the specific implementation, the intelligent and efficient heat pump operation control method provided in this embodiment can precisely control the heat pump 4 to perform defrosting and perform targeted defrosting control according to the frosting state, thereby reducing unnecessary energy loss compared to traditional timed defrosting. Furthermore, the control method of this embodiment can also include the following steps:

[0071] S4, obtaining the ambient humidity RH of the heat pump 4 and the frost accumulation time t of the heat pump 4;

[0072] S5. The ambient temperature T is less than 10 degrees, the ambient humidity RH is greater than or equal to the target frost zone humidity, and the frost accumulation time t is greater than or equal to the defrost interval of the target frost zone. The defrost requirement is determined to be met and a corresponding defrost instruction is generated.

[0073] It can be understood that, in order to accurately judge the frosting situation, in this embodiment, the ambient temperature T of the heat pump 4, the ambient humidity RH, and the frosting time t of the heat pump 4 can be combined for judgment. If it is judged that the ambient temperature T < 10 degrees, the ambient humidity RH ≥ the target frost zone humidity, and the frosting time t ≥ the defrosting interval of the target frost zone, it indicates that defrosting is required, and then a corresponding defrosting instruction is generated. And it can be understood that there is no necessary sequence relationship between step S4 provided in this embodiment and the foregoing steps S1 to S3, and they can be carried out synchronously or the sequence can be adjusted according to actual needs or the weight ratio can be adjusted, etc. Accordingly, the relevant judgment conditions are given in this embodiment as follows. The target frost zones include the light frost zone, the heavy frost zone, and the ice zone; 3 degrees < T < 10 degrees is the light frost zone; -6 degrees ≤ T ≤ 3 degrees is the heavy frost zone; T < -6 degrees is the ice zone; each target frost zone includes three target frost zone humidities, and each target frost zone humidity corresponds to a defrosting interval; among them, the defrosting interval in each target frost zone gradually decreases as the target frost zone humidity increases. For example: The target frost zone, the target frost zone humidity, and the defrosting interval of the target frost zone can be clarified by referring to Table 1 below;

[0074] Table 1

[0075]

[0076] Referring to Table 1 above, when the ambient temperature T is between 3 degrees and 10 degrees, it is determined that the frosting degree is the light frost zone. When the ambient humidity RH is between 65% and 75% and the frosting time t is greater than 90 min, it is determined that defrosting of the light frost zone is required, and it can be low-frequency defrosting to reduce energy consumption while meeting the defrosting requirements; when the ambient temperature T is determined to be the light frost zone under the premise of the frosting degree, when the ambient humidity RH is between 75% and 85% and the frosting time t is greater than 60 min, it is determined that defrosting of the light frost zone is required, and the defrosting time interval can be appropriately shortened to prevent frosting accumulation, for example, the defrosting interval is adjusted to 55 min; when the ambient temperature T is determined to be the light frost zone under the premise of the frosting degree, when the ambient humidity RH is above 85% and the frosting time t is greater than 50 min, it is determined that defrosting of the light frost zone is required, and it can be high-frequency defrosting to avoid efficiency decline caused by high humidity.

[0077] Referring to Table 1 above, when the ambient temperature T is between 3 degrees and -6 degrees, the frost degree is determined to be in the heavy frost area. When the ambient humidity RH is between 65% and 75% and the frost accumulation time t is greater than 70 minutes, it is determined that the heavy frost area needs to be defrosted. At the same time, because the frost layer grows quickly at low temperatures, low-frequency defrosting can be performed and the defrost interval can be appropriately shortened, for example, 65 minutes. When the ambient temperature T determines that the frost degree is in the heavy frost area, when the ambient humidity RH is between 75% and 85% and the frost accumulation time t is greater than 50 minutes, it is determined that the heavy frost area needs to be defrosted. Because temperature and humidity have a dual impact under this condition, dynamic defrosting can be performed while giving priority to performance. Dynamic defrosting is something that technicians in this field can easily understand and implement, and will not be elaborated here. When the ambient temperature T determines that the frost degree is in the heavy frost area, when the ambient humidity RH is above 85% and the frost accumulation time t is greater than 40 minutes, it is determined that the heavy frost area needs to be defrosted. Because the conditions are extreme high humidity and low temperature conditions, rapid defrosting is required to prevent ice formation.

[0078] Referring to Table 1 above, when the ambient temperature T is below -6 degrees, the frost degree is determined to be in the ice zone. When the ambient humidity RH is between 65% and 75% and the frost accumulation time t is greater than 60 minutes, it is determined that the ice zone needs to be defrosted. Because the frost layer is relatively stable under ultra-low temperatures, the defrost interval can be appropriately extended, for example: 60 minutes; when the ambient temperature T determines that the frost degree is in the ice zone, when the ambient humidity RH is between 75% and 85% and the frost accumulation time t is greater than 40 minutes, it is determined that the ice zone needs to be defrosted. Because the condition is low temperature and high humidity, high-frequency defrosting is required to prevent freezing; when the ambient temperature T determines that the frost degree is in the ice zone, when the ambient humidity RH is above 85% and the frost accumulation time t is greater than 40 minutes, it is determined that the ice zone needs to be defrosted. Because this condition is an extreme condition, high-frequency defrosting is required and the current defrost interval is strictly maintained.

[0079] Of course, it is understandable that for the heat pump 4, there will be a difference in ambient humidity between the area close to the heat pump 4 and the area far away from the heat pump 4. Therefore, the number and location of the humidity sensors in this embodiment can be designed and adjusted according to actual needs. For example, a humidity sensor can be set at a position farther away from the heat pump 4, with but not limited to a range of 1m, or multiple humidity sensors can be set at even intervals. Under this setting method, when taking the ambient humidity RH, the humidity data collected by the humidity sensors at each interval can be averaged and used as the ambient humidity RH to improve accuracy.

[0080] Example 2

[0081] Reference Attachment Figure 4This embodiment provides an intelligent and efficient heat pump operation control device, which can support the intelligent and efficient heat pump operation control method described in the above embodiment 1.

[0082] The intelligent and efficient heat pump operation control device includes an acquisition unit 1, a data cache unit 2 and a control unit 3. The acquisition unit 1 is arranged outside the heat pump 4 and is used to at least acquire the current ambient temperature T of the heat pump 4; the data cache unit 2 is signal-connected to the acquisition unit 1 and is used to store at least the ambient temperature T; the control unit 3 is signal-connected to the data cache unit 2. The control unit 3 pre-stores a climate compensation formula and a corresponding temperature adjustment interval instruction. The control unit 3 can compare the ambient temperature T with the climate compensation formula to determine the corresponding temperature adjustment interval instruction and generate a temperature adjustment instruction according to the temperature adjustment interval instruction and send it to the heat pump group to control the temperature.

[0083] It is understood that in order to support and implement the intelligent and efficient heat pump 4 operation control method described in Example 1, this embodiment is equipped with a collection unit 1, a data cache unit 2, and a control unit 3. The collection unit 1 may include, but is not limited to, a temperature sensor 11 to obtain the ambient temperature of the heat pump 4 in real time. The type and model of the temperature sensor 11 can be designed and adjusted according to actual needs. For example, it can be a sensor that performs temperature detection alone or a sensor that detects both temperature and humidity. The data cache unit 2 may be, but is not limited to, a cloud-based system that provides a communication medium between the heat pump 4 and the control unit 3. Remote connection and control are achieved. In this embodiment, the data channels between the acquisition unit 1 and the data cache unit 2 can be aggregated and connected via a 4589 hub. The data cache unit 2 and the control unit 3 can be connected via, but not limited to, a 4G network or a WIFI network. It is understood that under this configuration, a data transmission module 5 can also be provided in this embodiment. Users at the heat pump 4 can access the control unit 3 and / or the data cache unit 2 through a terminal such as a mobile phone to check the operating status of the heat pump 4 and achieve self-remote control. The data transmission module 5 can be connected to the control unit 3 and the data cache unit 2 via, but not limited to, a 485 bus. Of course, a data transmission module 5 can also be provided in each of the control unit 3 and the data cache unit 2. This configuration is readily understood by those skilled in the art and will not be elaborated on here. Accordingly, the control unit 3 is a controller structure capable of transmitting and receiving data, comparing, processing and analyzing data, and editing programs. In this embodiment, the KLTPC-STS-7071Gt-4G with remote communication function and a touch screen can be selected, but is not limited to the KLTPC-STS-7071Gt-4G. In this embodiment, the control unit 3 stores a climate compensation formula and corresponding temperature adjustment interval instructions. For related data and working principles, please refer to the detailed description of Example 1, which will not be repeated here.

[0084] Further, refer to the attached Figure 4 In the specific implementation of the intelligent and efficient heat pump operation control device provided in this embodiment, the acquisition unit 1 includes a weather acquisition module 12; the weather acquisition module 12 is used to obtain the temperature data T1 of the environment where the heat pump 4 is located at a specified future time point; the control unit 3 can adjust the compensation formula and generate a temperature adjustment instruction according to the temperature data T1 at the specified future time point.

[0085] It is understood that in order to obtain the temperature of the environment in which the heat pump 4 is located at a specified future time point to prevent excessive fluctuations during the dynamic adjustment process, the weather acquisition module 12 can be used in this embodiment. Accordingly, the weather acquisition module 12 can be set at the heat pump 4 end or at the control unit 3 end. When the weather acquisition module 12 is set at the heat pump 4 end, it can detect air pressure, humidity, and light intensity to achieve the purpose of predicting short-term weather. This setting is easy for those skilled in the art to understand and can be simply implemented with the help of relevant sensors, and will not be described in detail here. Under this setting, weather data can be transmitted through the cloud. When the weather acquisition module 12 is set at the control unit 3 end, GPS or base station positioning can be used in conjunction with the network to obtain weather data for a specified area. This setting is easy for those skilled in the art to understand and implement, and will not be described in detail here. Correspondingly, the specific working principle of the control unit 3 adjusting the compensation formula and generating the temperature adjustment instruction based on the temperature data T1 at the specified future time point is described in detail in Example 1, and will not be described in detail here.

[0086] Further, refer to the attached Figure 4 In the specific implementation of the intelligent and efficient heat pump operation control device provided in this embodiment, the acquisition unit 1 includes a humidity acquisition module 13; the humidity acquisition module 13 is used to obtain the ambient humidity RH of the heat pump 4; the control unit 3 can judge whether the defrosting demand is met according to the ambient temperature T, the ambient humidity RH and the frost accumulation time t of the heat pump 4 and generate a corresponding defrost instruction.

[0087] It is understood that in order to accurately determine the frosting situation and perform targeted defrosting operations to improve energy efficiency, in this embodiment, the humidity acquisition module 13 can be used to obtain the ambient humidity RH of the heat pump 4, and this data can be used to perform corresponding determinations and defrost control. The number and location of the humidity acquisition module 13 can be adjusted according to actual needs, for example, by being located on the outer surface of the heat pump 4, or in an external space spaced apart from the heat pump 4. Since the operating area of ​​the heat pump 4 may differ from the natural ambient humidity, in this embodiment, the humidity acquisition module 13 can be located farther away from the heat pump 4, including but not limited to a range of 1 meter. Multiple humidity acquisition modules 13 can also be evenly spaced. In this arrangement, when obtaining the ambient humidity RH, the humidity data collected by the humidity acquisition modules 13 at each interval can be averaged to obtain the ambient humidity RH, thereby improving accuracy. Accordingly, the control unit 3 provided in this embodiment pre-stores the relevant data in Table 1. The defrost determination and defrost control principles performed by the control unit 3 in conjunction with the humidity acquisition module 13 can be referred to the detailed description of Embodiment 1 and will not be elaborated here.

[0088] Furthermore, an embodiment of the present application provides a computer device, including a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps of the intelligent and efficient heat pump 4 operation control method.

[0089] Furthermore, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the operation control method of the intelligent and efficient heat pump 4.

[0090] Furthermore, an embodiment of the present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of the operation control method of the intelligent and efficient heat pump 4.

[0091] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0092] In a typical configuration, the device includes one or more processors (CPUs), memory, and a bus. The device may also include input / output interfaces, network interfaces, and the like.

[0093] Memory may include non-permanent memory in a computer-readable medium, random access memory (RAM), and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory includes at least one memory chip. Memory is an example of a computer-readable medium.

[0094] Computer-readable media includes permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media (transitory media), such as modulated data signals and carrier waves.

[0095] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or includes elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not exclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.

[0096] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0097] The above are merely embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application should all be included within the scope of the claims of the present application.

Claims

1. A smart and efficient heat pump operation control method, characterized in that: It includes the following steps: Obtain the ambient temperature T of the current heat pump; Compare the ambient temperature T with the climate compensation formula to determine the temperature adjustment range instruction; Generate a temperature adjustment instruction according to the temperature adjustment range instruction to control the temperature.

2. The intelligent and efficient heat pump operation control method according to claim 1 is characterized in that: In the step of comparing the ambient temperature T with the climate compensation formula to determine the temperature adjustment range instruction, the climate compensation formula and the temperature adjustment range instruction correspondingly include: When T < 5°C, the set temperature of the heat pump is 40 degrees; When 5°C ≤ T ≤ 15°C, the set temperature of the heat pump = -1.27 * T + 46 degrees; When T > 15°C, the set temperature of the heat pump is 27 degrees.

3. The intelligent and efficient heat pump operation control method according to claim 1, characterized in that: The step of comparing the ambient temperature and the climate compensation formula to determine the temperature adjustment range instruction includes: Obtain the temperature data T1 at a future specified time point in the environment where the heat pump is located; Generate the temperature adjustment instruction according to the temperature data T1 at the future specified time point and the ambient temperature T.

4. The intelligent and efficient heat pump operation control method according to claim 3 is characterized in that: The step of generating the temperature adjustment instruction according to the temperature data T1 at the future specified time point and the ambient temperature T includes: Obtain the difference between T1 and T; When the difference is negative, add 5 degrees to the temperature adjustment range instruction corresponding to the climate compensation formula; When the difference is positive, subtract 5 degrees from the temperature adjustment range instruction corresponding to the climate compensation formula.

5. The intelligent and efficient heat pump operation control method according to claim 3, characterized in that: The future specified time point is at least three hours in the future.

6. The intelligent and efficient heat pump operation control method according to claim 1, characterized in that: It further includes the following steps: Obtain the ambient humidity RH where the heat pump is located and the frosting time t of the heat pump; When the ambient temperature T < 10 degrees, the ambient humidity RH ≥ the target frost zone humidity, and the frosting time t ≥ the defrosting interval of the target frost zone, it is determined that the defrosting requirement is met and the corresponding defrosting instruction is generated.

7. The intelligent and efficient heat pump operation control method according to claim 6, characterized in that: In the step of determining that the defrosting requirement is met and generating the corresponding defrosting instruction when the ambient temperature T < 10 degrees, the ambient humidity RH ≥ the target frost zone humidity, and the frosting time t ≥ the defrosting interval of the target frost zone: The target frost zones include the light frost zone, the heavy frost zone, and the ice zone; 3 degrees < T < 10 degrees is the light frost zone; -6 degrees ≤ T ≤ 3 degrees is the heavy frost zone; T < -6 degrees is the ice zone; Each target frost zone includes three target frost zone humidities, and each target frost zone humidity corresponds to a defrosting interval; Among them, the defrosting interval in each target frost zone gradually decreases as the target frost zone humidity increases.

8. An intelligent and efficient heat pump operation control device, characterized in that: It includes: A collection unit, which is arranged outside the heat pump and is used to at least collect the ambient temperature T of the current heat pump; A data cache unit, which is signal-connected to the collection unit and is used to at least store the ambient temperature T; A control unit, which is signal-connected to the data cache unit. The climate compensation formula and the corresponding temperature adjustment range instruction are pre-stored in the control unit. The control unit can compare the ambient temperature T with the climate compensation formula to determine the corresponding temperature adjustment range instruction and generate a temperature adjustment instruction according to the temperature adjustment range instruction and send it to the heat pump group to control the temperature.

9. The intelligent and efficient heat pump operation control device according to claim 8, wherein: The collection unit includes a weather acquisition module; The weather acquisition module is used to obtain the temperature data T1 at a future specified time point in the environment where the heat pump is located; The control unit can adjust the compensation formula according to the temperature data T1 at the future specified time point and generate a temperature adjustment instruction.

10. The intelligent and efficient heat pump operation control device according to claim 8, characterized in that: The collection unit includes a humidity collection module; The humidity acquisition module is used to obtain the ambient humidity RH of the heat pump; The control unit can determine whether the defrosting requirement is met and generate a corresponding defrosting instruction according to the ambient temperature T, the ambient humidity RH and the frost accumulation time t of the heat pump.

11. A computer device comprising a memory, a processor, and a computer program stored in the memory, wherein: The processor executes the computer program to implement the steps of the intelligent and efficient heat pump operation control method according to any one of claims 1 to 7.

12. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the intelligent and efficient heat pump operation control method described in any one of claims 1 to 7 are implemented.

13. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the intelligent and efficient heat pump operation control method described in any one of claims 1 to 7 are implemented.