Heat pump preheating judgment method and system based on 4G Internet of Things

Abstract

The invention relates to the field of control communication, and discloses a heat pump preheating judgment method based on the 4G Internet of Things, and the method comprises the steps: uploading the shutdown time of a heat pump unit to a cloud control assembly through the 4G Internet of Things; when the heat pump unit receives a start-up instruction, the start-up moment corresponding to the start-up instruction is uploaded to the cloud control assembly through the 4G Internet of Things, and the cloud control assembly obtains the indoor temperature and local historical temperature data from the shutdown moment to the start-up moment through the 4G Internet of Things; and according to the indoor temperature and the local historical temperature data from the shutdown moment to the startup moment, a preheating scheme of the heat pump unit is determined, and the preheating scheme is sent to the heat pump unit from the cloud control assembly through the 4G Internet of Things so as to control the heat pump unit to conduct preheating. The preheating process of the heat pump is accurately controlled through the 4G Internet of Things according to the shutdown duration of the compressor.

Description

Technical Field

[0001] The present application relates to the field of control communication technology, and more specifically, to a heat pump preheating judgment method and system based on 4G Internet of Things. Background Art

[0002] Heat pump systems are widely used in cold areas. Heat pump systems can absorb heat from the low temperature outdoor environment and provide heat to the indoor environment through the work of the compressor. When operating in a cold environment, the compressor of the heat pump system will face the following challenges: 1. When the temperature is too low, the viscosity of the lubricating oil will increase and the fluidity will decrease, which will affect the lubrication effect of the compressor and increase the risk of damage to the compressor. Therefore, under low temperature conditions, preheating the heat pump before starting the operation is a key step to ensure the safe operation of the heat pump. Preheating can effectively increase the temperature of the lubricating oil and reduce its viscosity, thereby improving the fluidity of the lubricating oil and ensuring that the compressor is fully lubricated. 2. Because the clock chip (Real_Time Clock, RTC) with the farad capacitor can only work normally for about a week at most, the clock chip may also be affected by low temperature or fail due to long working time. When the heat pump is powered off for a long time, the clock chip will not be able to perform the corresponding function, that is, the downtime of the compressor cannot be normally timed. The inability to normally time the downtime of the compressor will cause the heat pump to be unable to comprehensively determine whether preheating is required based on the last operation situation, which may result in misjudgment of the preheating of the compressor. Misjudgment of compressor preheating may not only lead to excessive energy loss, but also affect the operating efficiency and life of the compressor's heat pump.

[0003] Patent CN104848482B (application number: CN201510221985.5) discloses a method for controlling the preheating of an air conditioner compressor, the method comprising: judging the state of the compressor; when the state of the compressor is a state requiring preheating, judging the temperature condition; when the temperature condition is a condition requiring preheating, starting the compressor preheating control; when the state of the compressor is a state requiring no preheating, or when the state of the compressor is a state requiring preheating but the temperature condition is a condition requiring no preheating, turning off the compressor preheating control, the method can reduce the power consumption of the compressor preheating while starting the compressor normally. However, the method in patent CN104848482B cannot solve the problem that the compressor downtime cannot be normally timed, resulting in the preheating process of the heat pump not being properly controlled. Summary of the invention

[0004] The purpose of this application is to provide a heat pump preheating judgment method and system based on 4G Internet of Things, which solves the technical problem that the preheating process of the heat pump cannot be normally controlled due to the inability to normally time the downtime of the compressor, and achieves the technical effect of accurately controlling the preheating process of the heat pump according to the downtime of the compressor through the 4G Internet of Things.

[0005] An embodiment of the present application provides a heat pump preheating judgment method based on 4G Internet of Things, the method comprising: uploading the shutdown time of the heat pump unit to the cloud control component through the 4G Internet of Things; when the heat pump unit receives a startup instruction, uploading the startup time corresponding to the startup instruction to the cloud control component through the 4G Internet of Things, the cloud control component obtains the indoor temperature and the local historical temperature data from the shutdown time to the startup time through the 4G Internet of Things; according to the indoor temperature and the local historical temperature data from the shutdown time to the startup time, determining the preheating plan of the heat pump unit, and sending the preheating plan from the cloud control component to the heat pump unit through the 4G Internet of Things to control the heat pump unit to preheat.

[0006] In one possible implementation, a preheating scheme of the heat pump unit is determined based on the indoor ambient temperature and local historical temperature data from the shutdown time to the startup time, including: when the indoor temperature is greater than or equal to the preset indoor temperature, the first preheating scheme of the heat pump unit is determined based on the local historical temperature data from the shutdown time to the startup time; when the indoor temperature is lower than the preset indoor temperature, the second preheating scheme of the heat pump unit is determined based on the indoor temperature and the local historical temperature data from the shutdown time to the startup time.

[0007] In another possible implementation, when the indoor temperature is greater than or equal to the preset indoor temperature, a first preheating scheme of the heat pump unit is determined based on the local historical temperature data from the shutdown time to the startup time, including: determining the local average temperature value from the shutdown time to the startup time according to the local historical temperature data from the shutdown time to the startup time; when the local average temperature value from the shutdown time to the startup time is less than the preset average temperature value, controlling the crankshaft heating belt of the heat pump unit to preheat for a first time period according to a first power value; when the local average temperature value from the shutdown time to the startup time is greater than or equal to the preset average temperature value, controlling the crankshaft heating belt of the heat pump unit to preheat for the first time period according to a second power value; wherein the first power value is greater than the second power value.

[0008] In another possible implementation, when the indoor temperature is lower than the preset indoor temperature, a second preheating scheme of the heat pump unit is determined based on the indoor temperature and the local historical temperature data from the shutdown time to the startup time, including: determining the temperature difference between the preset indoor temperature and the indoor temperature, and determining the preheating adjustment coefficient corresponding to the temperature difference; and determining the local average temperature value from the shutdown time to the startup time according to the local historical temperature data from the shutdown time to the startup time; wherein the preheating adjustment coefficient is greater than 1, and the preheating adjustment coefficient increases with the increase of the temperature difference; when the local average temperature value from the shutdown time to the startup time is lower than the preset average temperature value, the crankshaft heating belt of the heat pump unit is controlled to preheat the second time period according to the product of the first power value and the preheating adjustment coefficient; when the local average temperature value from the shutdown time to the startup time is greater than or equal to the preset average temperature value, the crankshaft heating belt of the heat pump unit is controlled to preheat the second time period according to the product of the second power value and the preheating adjustment coefficient; wherein the second time period is lower than the first time period.

[0009] In another possible implementation, when the indoor temperature is lower than the preset indoor temperature, a second preheating scheme of the heat pump unit is determined based on the indoor temperature and local historical temperature data from the shutdown time to the startup time, and also includes: after controlling the crankshaft heating belt of the heat pump unit to preheat for the second time period, simultaneously starting the compressor of the heat pump unit to preheat for the third time period.

[0010] In another possible implementation, when the indoor temperature is lower than the preset indoor temperature, a second preheating scheme of the heat pump unit is determined based on the indoor temperature and the local historical temperature data from the shutdown time to the startup time, and also includes: after controlling the crankshaft heating belt of the heat pump unit to preheat for the second time period, obtaining the first lubricating oil temperature value of the compressor of the heat pump unit; after starting the compressor of the heat pump unit to preheat for the third time period, obtaining the second lubricating oil temperature value of the compressor of the heat pump unit; and determining the lubricating oil temperature difference between the second lubricating oil temperature value and the first lubricating oil temperature value; when the lubricating oil temperature difference is less than or equal to the first lubricating oil temperature difference, reducing the second time period to a fourth time period; when the lubricating oil temperature difference is greater than the first lubricating oil temperature difference and less than or equal to the second lubricating oil temperature difference, keeping the second time period unchanged; when the lubricating oil temperature difference is greater than the second lubricating oil temperature difference, increasing the second time period to a fifth time period.

[0011] An embodiment of the present application also provides a heat pump preheating judgment system based on 4G Internet of Things, including a unit for executing the method described above.

[0012] An embodiment of the present application also provides a heat pump preheating judgment system based on 4G Internet of Things, including a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the method described above when executing the computer program.

[0013] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method described above is implemented.

[0014] An embodiment of the present application also provides a computer program product, including a computer program, which implements the steps of the above method when executed by a processor.

[0015] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0016] The embodiment of the present application provides a heat pump preheating judgment method based on 4G Internet of Things, the above method includes: uploading the shutdown time of the heat pump unit to the cloud control component through the 4G Internet of Things; when the heat pump unit receives the power-on instruction, uploading the power-on time corresponding to the power-on instruction to the cloud control component through the 4G Internet of Things, the cloud control component obtains the indoor temperature and the local historical temperature data from the shutdown time to the power-on time through the 4G Internet of Things; according to the indoor temperature and the local historical temperature data from the shutdown time to the power-on time, determine the preheating plan of the heat pump unit, and send the preheating plan from the cloud control component to the heat pump unit through the 4G Internet of Things to control the heat pump unit to preheat. The embodiment of the present application can accurately control the preheating process of the heat pump unit through the 4G Internet of Things, and can accurately perform intelligent control on the preheating process of the heat pump unit according to the shutdown time, power-on time, indoor temperature and the local historical temperature data from the shutdown time to the power-on time of the heat pump unit, thereby improving the control accuracy of the preheating process of the heat pump unit and improving the service life of the heat pump unit. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0018] Figure 1 A schematic diagram of a flow chart of a heat pump preheating determination method based on 4G Internet of Things provided in an embodiment of the present application;

[0019] Figure 2 A schematic diagram of a system used in a heat pump preheating judgment method based on 4G Internet of Things provided in an embodiment of the present application;

[0020] Figure 3 A schematic diagram of a heat pump preheating judgment system based on 4G Internet of Things provided in an embodiment of the present application;

[0021] Figure 4 A schematic diagram of another heat pump preheating judgment system based on 4G Internet of Things provided in an embodiment of the present application. DETAILED DESCRIPTION

[0022] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0023] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0024] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.

[0025] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0026] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0027] In the existing preheating method of the heat pump system, when the shutdown time of the compressor cannot be normally timed, the problem that the preheating process of the heat pump cannot be normally controlled cannot be solved.

[0028] Based on the above reasons, the embodiment of the present application provides a heat pump preheating judgment method based on 4G Internet of Things, the above method includes: uploading the shutdown time of the heat pump unit to the cloud control component through the 4G Internet of Things; when the heat pump unit receives the power-on instruction, uploading the power-on time corresponding to the power-on instruction to the cloud control component through the 4G Internet of Things, the cloud control component obtains the indoor temperature and the local historical temperature data from the shutdown time to the power-on time through the 4G Internet of Things; according to the indoor temperature and the local historical temperature data from the shutdown time to the power-on time, determine the preheating plan of the heat pump unit, and send the preheating plan from the cloud control component to the heat pump unit through the 4G Internet of Things to control the heat pump unit to preheat. The embodiment of the present application can accurately control the preheating process of the heat pump unit through the 4G Internet of Things, and can accurately perform intelligent control on the preheating process of the heat pump unit according to the shutdown time, power-on time, indoor temperature and the local historical temperature data from the shutdown time to the power-on time of the heat pump unit, thereby improving the control accuracy of the preheating process of the heat pump unit and improving the service life of the heat pump unit.

[0029] In some scenarios, a heat pump preheating judgment method based on 4G Internet of Things in an embodiment of the present application can be applied to the preheating control of a heat pump air-conditioning unit. It can accurately control the preheating process of the heat pump system through the shutdown time, startup time, indoor temperature and local historical temperature data from the shutdown time to the startup time of the heat pump unit, thereby improving the service life of the heat pump system.

[0030] The following is a specific example of a heat pump preheating judgment method based on 4G Internet of Things provided in an embodiment of the present application.

[0031] Figure 1 A flow chart of a heat pump preheating determination method based on 4G Internet of Things provided in an embodiment of the present application is shown in FIG. Figure 1 As shown, the method includes S110 to S130, and S110 to S130 are described in detail below.

[0032] S110, uploading the shutdown time of the heat pump unit 1 to the cloud control component 2 via the 4G Internet of Things.

[0033] Figure 2 A schematic diagram of a system used in a heat pump preheating judgment method based on 4G Internet of Things provided in an embodiment of the present application, such as Figure 2 As shown, a 4G Internet of Things device is provided on the heat pump unit 1, and the 4G Internet of Things device can realize the communication between the heat pump unit 1 and the cloud control component 2. When the heat pump unit 1 stops, the stop time of the heat pump unit 1 can be uploaded to the cloud control component 2 through the 4G Internet of Things, and then the stop time of the heat pump unit 1 can be continuously recorded through the cloud control component 2, thereby ensuring that the stop time of the heat pump unit 1 can be accurately recorded.

[0034] Existing heat pump units generally record the downtime through a clock chip installed on the heat pump unit. This is because the clock chip (Real-Time Clock, RTC) can only work normally for about a week at most in conjunction with a farad capacitor. The clock chip may also fail due to low temperature or excessive working time. The embodiment of the present application can stably record the downtime of the heat pump unit 1 through the cloud control component 2.

[0035] S120. When the heat pump unit 1 receives a power-on instruction, the power-on time corresponding to the power-on instruction is uploaded to the cloud control component 2 via the 4G Internet of Things. The cloud control component 2 obtains the indoor temperature and the local historical temperature data from the shutdown time to the startup time via the 4G Internet of Things.

[0036] When the heat pump unit 1 needs to be started again to work, the start-up time of the heat pump unit 1 can be recorded when the heat pump unit 1 receives the start-up instruction, that is, the start-up time corresponding to the start-up instruction can be uploaded to the cloud control component 2 through the 4G Internet of Things, so that the cloud control component 2 can accurately control the preheating process of the heat pump unit 1 according to the start-up time.

[0037] In order to improve the control effect of the preheating process of the heat pump unit 1, the indoor temperature and the local historical temperature data from the shutdown time to the startup time can be obtained through the cloud control component 2 through the 4G Internet of Things, and then the working state of the heat pump unit 1 can be controlled according to the indoor temperature and the local historical temperature data during the shutdown period of the heat pump unit 1. The indoor temperature can reflect the urgency of the heat pump unit 1 when heating, and the local historical temperature data during the shutdown period of the heat pump unit 1 can reflect the degree of lubricating oil cooling when the compressor of the heat pump unit 1 is cooled down when it is shut down.

[0038] For example, the local historical temperature data may be the local temperature data of the same time period in previous years obtained from meteorological data.

[0039] During operation, when the indoor temperature is lower, the demand for turning on the heat pump unit 1 for heating to increase the indoor temperature is higher; when the indoor temperature is higher, the demand for turning on the heat pump unit 1 for heating to increase the indoor temperature is lower.

[0040] Exemplarily, when the indoor temperature is obtained through the 4G Internet of Things, the indoor temperature can be obtained through a temperature measurement component with a 4G Internet of Things function.

[0041] S130. Determine a preheating plan for the heat pump unit 1 based on the indoor temperature and local historical temperature data from the shutdown time to the startup time, and send the preheating plan from the cloud control component 2 to the heat pump unit 1 through the 4G Internet of Things to control the heat pump unit 1 to preheat.

[0042] During operation, the preheating plan of the heat pump unit 1 can be determined based on the indoor temperature and the local historical temperature data from the shutdown time to the startup time, so as to control the preheating process of the heat pump unit 1, and the preheating plan is sent from the cloud control component 2 to the heat pump unit 1 through the 4G Internet of Things to control the preheating of the heat pump unit 1, thereby realizing intelligent control of the preheating process of the heat pump unit 1.

[0043] The beneficial effect brought about by the above-mentioned implementation method is that the embodiment of the present application can stably record the shutdown time of the heat pump unit through the cloud control component, thereby ensuring the accurate control of the preheating process of the heat pump unit.

[0044] The beneficial effect brought about by the above-mentioned implementation method is that the preheating plan is determined by the indoor temperature reflecting the urgency of the heat pump unit when heating, and by the local historical temperature data during the shutdown of the heat pump unit reflecting the degree of cooling of the lubricating oil when the compressor is cooled down when the heat pump unit is shut down. The preheating plan is intelligently determined based on the indoor temperature and historical temperature data, and the preheating plan is sent from the cloud control component to the heat pump unit through the 4G Internet of Things to control the heat pump unit for preheating, thereby improving the preheating effect of the heat pump unit.

[0045] In some implementations, in the above S120, a preheating scheme for the heat pump unit 1 is determined based on the indoor ambient temperature and local historical temperature data from shutdown time to startup time, including S210 and S220. S210 and S220 are described in detail below.

[0046] S210: When the indoor temperature is greater than or equal to the preset indoor temperature, a first preheating scheme of the heat pump unit 1 is determined based on the local historical temperature data from the shutdown time to the startup time.

[0047] During operation, when the indoor temperature is greater than or equal to the preset indoor temperature, it means that the indoor ambient temperature is greater than or equal to the basic preset indoor temperature. At this time, the main factor affecting the preheating of the heat pump unit 1 is the local historical temperature data. At this time, the first preheating scheme of the heat pump unit 1 can be determined based on the local historical temperature data from the shutdown time to the startup time.

[0048] For example, the preset indoor temperature may be 0°C, 5°C or 10°C.

[0049] S220: When the indoor temperature is lower than the preset indoor temperature, a second preheating scheme of the heat pump unit 1 is determined based on the indoor temperature and local historical temperature data from the shutdown time to the startup time.

[0050] During operation, when the indoor temperature is lower than the preset indoor temperature, it means that the indoor ambient temperature is lower than the preset indoor temperature that needs to be met. At this time, the main factors affecting the preheating of the heat pump unit 1 are the indoor temperature and the local historical temperature data. At this time, the second preheating scheme of the heat pump unit 1 can be determined based on the indoor temperature and the local historical temperature data from the shutdown time to the startup time, which can take into account the indoor temperature conditions that need to be met during preheating and improve the effect of the preheating process.

[0051] The beneficial effect brought about by the above-mentioned implementation method is that it can first determine whether the indoor ambient temperature meets the basic preset indoor temperature conditions, and then decide whether it is necessary to determine the preheating plan of the heat pump unit based on the indoor temperature and the local historical temperature data from the shutdown time to the startup time, so that the indoor temperature conditions can be met when preheating the heat pump unit, which improves the intelligence of the preheating process and can improve the user experience.

[0052] In some implementations, in the above-mentioned S210, when the indoor temperature is greater than or equal to the preset indoor temperature, a first preheating scheme of the heat pump unit 1 is determined based on the local historical temperature data from the shutdown time to the startup time, including S211 to S212, and S211 to S212 are specifically described below.

[0053] S211. Determine the local average temperature value from the shutdown time to the startup time based on the local historical temperature data from the shutdown time to the startup time.

[0054] Before preheating, the local average temperature value from the shutdown time to the startup time can be determined based on the local historical temperature data from the shutdown time to the startup time recorded by the meteorological data. The local average temperature value indicates the high and low temperatures in the same time period in previous years. At this time, the preheating process of the heat pump unit can be controlled according to the local average temperature value.

[0055] For example, when the duration between the shutdown time and the startup time is 2 days, the local historical temperature data of the two days between the shutdown time and the startup time in previous years can be obtained. The local historical temperature data includes the temperature values ​​at different time points of the two days between the shutdown time and the startup time. The average value of the temperature values ​​at different time points of the two days between the shutdown time and the startup time is calculated, that is, the local average temperature value from the shutdown time to the startup time is obtained. For example, the local average temperature value can be -14°C, 2°C or 15°C.

[0056] S212: When the local average temperature value from the shutdown moment to the startup moment is less than the preset average temperature value, the crankshaft heating belt of the heat pump unit 1 is controlled to preheat the first time period according to the first power value. When the local average temperature value from the shutdown moment to the startup moment is greater than or equal to the preset average temperature value, the crankshaft heating belt of the heat pump unit 1 is controlled to preheat the first time period according to the second power value. The first power value is greater than the second power value.

[0057] Before preheating, when the local average temperature value from the shutdown moment to the startup moment is less than the preset average temperature value, it means that the local average temperature value from the shutdown moment to the startup moment is too low. At this time, the compressor lubricating oil temperature in the heat pump unit is affected by the low temperature and requires a greater preheating intensity to ensure that the compressor lubricating oil temperature can be further increased. When preheating the compressor, the crankshaft heating belt of the heat pump unit 1 can be controlled to preheat the first time period according to the first power value. Preheating the crankshaft of the compressor can reduce the friction resistance when the heat pump unit 1 is started, improve the startup efficiency, reduce energy consumption, and extend the service life of the compressor.

[0058] Exemplarily, the first power value for compressor preheating may be 30% of the rated power, and the first preheating time period may be 30 minutes to 60 minutes.

[0059] Before preheating, when the local average temperature value from the shutdown time to the startup time is greater than or equal to the preset average temperature value, it means that the local average temperature value from the shutdown time to the startup time is high. At this time, the crankshaft heating belt of the heat pump unit 1 can be controlled to preheat the first time period according to the second power value, and the first power value is greater than the second power value, so that when the local average temperature value is high, the power of the crankshaft heating belt can be reduced to achieve the purpose of preheating the compressor to the starting temperature range.

[0060] The beneficial effect brought about by the above-mentioned implementation method is that when the local average temperature value from the shutdown time to the startup time is high, the power of the crankshaft heating belt can be reduced to preheat the compressor to the starting temperature range, which can reduce the energy consumption of compressor preheating.

[0061] In some implementations, in the above-mentioned S220, when the indoor temperature is lower than the preset indoor temperature, a second preheating scheme of the heat pump unit 1 is determined based on the indoor temperature and the local historical temperature data from the shutdown time to the startup time, including S221 to S222. S221 to S222 are described in detail below.

[0062] S221, determining the temperature difference between the preset indoor temperature and the indoor temperature, and determining the preheating adjustment coefficient corresponding to the temperature difference. And determining the local average temperature value from the shutdown time to the startup time based on the local historical temperature data from the shutdown time to the startup time. Wherein, the preheating adjustment coefficient is greater than 1, and the preheating adjustment coefficient increases as the temperature difference increases.

[0063] When the indoor temperature is lower than the preset indoor temperature, it means that the low indoor temperature needs to be considered at this time. The preheating speed of the heat pump unit should be increased to quickly increase the indoor temperature and improve the user experience of the heat pump unit when increasing the indoor temperature.

[0064] During operation, the temperature difference between the preset indoor temperature and the indoor temperature can be determined, and a preheating adjustment coefficient corresponding to the temperature difference can be determined. The preheating adjustment coefficient is used to adjust the preheating intensity of the heat pump unit.

[0065] When working, the preheating adjustment coefficient is greater than 1, so that the preheating intensity of the heat pump unit can be increased when the indoor temperature is low, so as to increase the speed at which the heat pump unit is put into use.

[0066] During operation, the preheating adjustment coefficient increases with the increase of the temperature difference, so that the lower the indoor temperature, the greater the preheating intensity of the heat pump unit, which can ensure that the heat pump unit can be put into use at a corresponding speed even when the temperature is low.

[0067] Exemplarily, when the indoor temperature is -25°C, the preheating adjustment coefficient may be 3; when the indoor temperature is -15°C, the preheating adjustment coefficient may be 2; when the indoor temperature is -5°C, the preheating adjustment coefficient may be 1.5.

[0068] When the indoor temperature is lower than the preset indoor temperature, the local average temperature value from the shutdown time to the startup time can be determined based on the local historical temperature data from the shutdown time to the startup time. The local average temperature value from the shutdown time to the startup time can also be used to adjust the preheating intensity of the heat pump unit.

[0069] S222: When the local average temperature value from the shutdown moment to the startup moment is less than the preset average temperature value, the crankshaft heating belt of the heat pump unit 1 is controlled to preheat the second time period according to the product of the first power value and the preheating adjustment coefficient. When the local average temperature value from the shutdown moment to the startup moment is greater than or equal to the preset average temperature value, the crankshaft heating belt of the heat pump unit 1 is controlled to preheat the second time period according to the product of the second power value and the preheating adjustment coefficient. The second time period is less than the first time period.

[0070] During use, when the local average temperature value from the shutdown time to the startup time is less than the preset average temperature value, it means that the indoor temperature is less than the preset indoor temperature, and the local average temperature value from the shutdown time to the startup time is also low. At this time, by considering the influence of the indoor temperature on the preheating speed of the heat pump unit, the crankshaft heating belt of the heat pump unit 1 can be controlled to preheat the second time period according to the product of the first power value and the preheating adjustment coefficient. When the crankshaft heating belt of the heat pump unit 1 is controlled to preheat according to the product of the first power value and the preheating adjustment coefficient, the preheating power of the crankshaft heating belt when the indoor temperature is less than the preset indoor temperature is increased, thereby improving the preheating speed of the heat pump unit 1.

[0071] During use, when the local average temperature value from the shutdown moment to the startup moment is greater than or equal to the preset average temperature value, it means that the local average temperature value from the shutdown moment to the startup moment is high. At this time, the preheating power of the crankshaft heating belt of the heat pump unit 1 can be appropriately reduced, and the crankshaft heating belt of the heat pump unit 1 is controlled to preheat the second time period according to the product of the second power value and the preheating adjustment coefficient. The first power value is greater than the second power value, so that when the local average temperature value is high, the power of the crankshaft heating belt can be reduced to achieve the purpose of preheating the compressor to the starting temperature range, and at the same time, the influence of indoor temperature on the preheating intensity of the heat pump unit can be integrated.

[0072] When working, the second preheating time period is shorter than the first time period, so that when the indoor temperature is lower than the preset indoor temperature, the heat pump unit can be preheated in a shorter time, so that the heat pump unit can heat the indoor temperature faster, thereby improving the user experience of the heat pump unit when adjusting the indoor temperature.

[0073] The beneficial effect brought about by the above-mentioned implementation method is that, taking into account the influence of indoor temperature on the preheating speed of the heat pump unit, the crankshaft heating belt of the heat pump unit can be controlled to preheat the second time period according to the product of the first power value and the preheating adjustment coefficient, which can increase the indoor temperature more quickly when the indoor temperature is low, thereby improving the use effect of the indoor temperature.

[0074] The beneficial effect brought about by the above-mentioned implementation method is that the second preheating time period is shorter than the first time period, so that when the indoor temperature is lower than the preset indoor temperature, the heat pump unit can be preheated in a shorter time, thereby improving the user experience of the heat pump unit when adjusting the indoor temperature when the indoor temperature is low.

[0075] In some implementations, in the above-mentioned S220, when the indoor temperature is lower than the preset indoor temperature, a second preheating scheme of the heat pump unit 1 is determined based on the indoor temperature and the local historical temperature data from the shutdown time to the startup time, and also includes: after controlling the crankshaft heating belt of the heat pump unit 1 to preheat for the second time period, simultaneously starting the compressor of the heat pump unit 1 to preheat for the third time period.

[0076] During operation, after controlling the crankshaft heating belt of the heat pump unit 1 to preheat for the second time period, the temperature of the lubricating oil in the compressor of the heat pump unit 1 can be increased to a certain extent, and then the compressor of the heat pump unit 1 can be started to preheat for the third time period. This can avoid directly starting the compressor and causing damage to the compressor, and then continue to preheat the compressor by starting the compressor, which can increase the preheating speed of the compressor.

[0077] The beneficial effect brought about by the above-mentioned implementation method is that when the indoor temperature is low, after the temperature of the lubricating oil in the compressor of the heat pump unit is raised to a certain extent through preheating with the crankshaft heating belt, the compressor of the heat pump unit is started to preheat for the third time period at the same time, which can avoid directly starting the compressor to reduce the service life of the compressor. At the same time, by starting the compressor to continue preheating, the preheating speed of the compressor can be increased.

[0078] In some implementations, in the above-mentioned S220, when the indoor temperature is lower than the preset indoor temperature, a second preheating scheme of the heat pump unit 1 is determined based on the indoor temperature and the local historical temperature data from the shutdown time to the startup time, and also includes S223 to S224. S223 to S224 are described in detail below.

[0079] S223, after controlling the crankshaft heating belt of the heat pump unit 1 to preheat for the second time period, obtaining the first lubricating oil temperature value of the compressor of the heat pump unit 1. After starting the compressor of the heat pump unit 1 to preheat for the third time period, obtaining the second lubricating oil temperature value of the compressor of the heat pump unit 1. And determining the lubricating oil temperature difference between the second lubricating oil temperature value and the first lubricating oil temperature value.

[0080] During operation, after controlling the crankshaft heating belt of the heat pump unit 1 to preheat for the second time period, the first lubricating oil temperature value of the compressor of the heat pump unit 1 can be obtained, and then the preheating process of the heat pump unit can be monitored according to the first lubricating oil temperature value.

[0081] Exemplarily, the lubricating oil temperature value of the compressor may be detected by a temperature sensor disposed on a side wall of the lubricating oil chamber of the compressor.

[0082] During operation, after starting the compressor of the heat pump unit 1 to preheat for the third time period, the second lubricating oil temperature value of the compressor of the heat pump unit 1 is obtained, and then the preheating process of the heat pump unit is monitored according to the second lubricating oil temperature value. Subsequently, the second lubricating oil temperature value and the first lubricating oil temperature value can be compared, and then the preheating effects of the compressor in the second time period and the third time period are compared respectively.

[0083] During operation, the lubricating oil temperature difference between the second lubricating oil temperature value and the first lubricating oil temperature value may be determined, and then the preheating effect of the compressor may be monitored according to the lubricating oil temperature difference.

[0084] S224: When the lubricating oil temperature difference is less than or equal to the first lubricating oil temperature difference, reduce the second time period to a fourth time period. When the lubricating oil temperature difference is greater than the first lubricating oil temperature difference and less than or equal to the second lubricating oil temperature difference, keep the second time period unchanged. When the lubricating oil temperature difference is greater than the second lubricating oil temperature difference, increase the second time period to a fifth time period.

[0085] During operation, when the lubricating oil temperature difference is less than or equal to the first lubricating oil temperature difference, it means that the temperature of the lubricating oil has been greatly increased in the preheating stage of the crankshaft heating belt of the heat pump unit 1, and the temperature of the lubricating oil is not increased much in the stage of starting the third time period of preheating the compressor of the heat pump unit 1. At this time, the second time period can be reduced to the fourth time period to shorten the preheating time of the crankshaft heating belt, which can reduce the heating time of the crankshaft heating belt and save the electric energy used by the crankshaft heating belt.

[0086] During operation, when the lubricating oil temperature difference is greater than the first lubricating oil temperature difference and less than or equal to the second lubricating oil temperature difference, the second time period is kept unchanged, indicating that the temperature of the lubricating oil has been raised in the crankshaft heating belt preheating stage of the heat pump unit 1 and the temperature of the lubricating oil in the third time period of starting the compressor preheating of the heat pump unit 1 are not much different, indicating that the crankshaft heating belt preheating and starting the compressor of the heat pump unit 1 have both played a corresponding effect of raising the temperature of the lubricating oil. At this time, the second time period can be kept unchanged to keep this preheating scheme unchanged and ensure that the heat pump unit has a stable preheating effect.

[0087] During operation, when the lubricating oil temperature difference is greater than the second lubricating oil temperature difference, the second time period is increased to the fifth time period, indicating that the temperature of the lubricating oil has not been increased much in the crankshaft heating belt preheating stage of the heat pump unit 1, and the temperature of the lubricating oil is increased too much in the third time period of starting the compressor preheating of the heat pump unit 1, resulting in the lubricating oil temperature rise value in the stage after the compressor of the heat pump unit 1 is started being greater than the lubricating oil temperature rise value in the crankshaft heating belt preheating stage. At this time, the second time period can be increased to the fifth time period to ensure that the heat pump unit can have a greater lubricating oil temperature rise in the crankshaft heating belt preheating stage, which can prevent the compressor of the heat pump unit from starting when the lubricating oil temperature is low, thereby realizing the correction of the preheating scheme of the heat pump unit and improving the service life of the heat pump unit.

[0088] The beneficial effect brought about by the above-mentioned implementation method is that by comparing the preheating effects of the compressor in the second time period and the third time period respectively, the heating time of the crankshaft heating belt can be reduced, the electricity used by the crankshaft heating belt can be saved, or the compressor of the heat pump unit can be prevented from starting when the lubricating oil temperature is low, thereby realizing the correction of the preheating scheme of the heat pump unit and improving the service life of the heat pump unit.

[0089] An embodiment of the present application also provides a heat pump preheating judgment system based on 4G Internet of Things, including a unit for executing the method described above.

[0090] Figure 3 A schematic diagram of the logical structure of a heat pump preheating judgment system based on 4G Internet of Things provided in an embodiment of the present application is shown in FIG. Figure 3 As shown, the system 3 of this embodiment includes a processing unit 31, a storage unit 32 and a transceiver unit 33. The processing unit 31 is used to process data, the storage unit 32 is used to store data, and the transceiver unit 33 is used to send and receive data. The processing unit 31, the storage unit 32 and the transceiver unit 33 cooperate with each other to implement the above method. The beneficial effects brought by the embodiment of the present application have been described in the above method and will not be repeated here.

[0091] An embodiment of the present application also provides a heat pump preheating judgment system based on 4G Internet of Things, including a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the method described above when executing the computer program.

[0092] Figure 4 A schematic diagram of the physical structure of a heat pump preheating judgment system based on 4G Internet of Things provided in an embodiment of the present application is shown in FIG. Figure 4 As shown, the system 4 of this embodiment includes: at least one processor 40 ( Figure 4 Only one processor 40 is shown in the figure), a memory 41, and a computer program 42 stored in the memory 41 and executable on the at least one processor 40, and the processor 40 implements the steps in any of the above-mentioned method embodiments when executing the computer program 42. The beneficial effects brought about by the embodiments of the present application have been described in the above-mentioned methods and will not be repeated here.

[0093] It should be noted that the information interaction, execution process, etc. between the above-mentioned devices / units are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0094] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0095] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in the above-mentioned method embodiments can be implemented.

[0096] An embodiment of the present application provides a computer program product. When the computer program product runs on a mobile terminal, the mobile terminal can implement the steps in the above-mentioned method embodiments when executing the computer program product.

[0097] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium can at least include: any entity or device that can carry the computer program code to the camera / terminal device, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, RandomAccess Memory), electric carrier signal, telecommunication signal and software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk or an optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.

[0098] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0099] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0100] In the embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0101] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0102] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A heat pump preheating judgment method based on 4G Internet of Things, characterized in that: The method comprises: Uploading the shutdown time of the heat pump unit (1) to the cloud control component (2) via the 4G Internet of Things; When the heat pump unit (1) receives a power-on instruction, the power-on time corresponding to the power-on instruction is uploaded to the cloud control component (2) via the 4G Internet of Things, and the cloud control component (2) obtains the indoor temperature and local historical temperature data from the shutdown time to the startup time via the 4G Internet of Things; A preheating scheme for the heat pump unit (1) is determined based on the indoor temperature and local historical temperature data from the shutdown time to the startup time, and the preheating scheme is sent from the cloud control component (2) to the heat pump unit (1) via the 4G Internet of Things to control the heat pump unit (1) to perform preheating.

2. The method according to claim 1, characterized in that According to the indoor ambient temperature and the local historical temperature data from the shutdown time to the startup time, a preheating scheme of the heat pump unit (1) is determined, including: When the indoor temperature is greater than or equal to a preset indoor temperature, determining a first preheating scheme of the heat pump unit (1) based on local historical temperature data from shutdown time to startup time; When the indoor temperature is lower than the preset indoor temperature, a second preheating scheme of the heat pump unit (1) is determined based on the indoor temperature and local historical temperature data from the shutdown time to the startup time.

3. The method according to claim 2, characterized in that When the indoor temperature is greater than or equal to the preset indoor temperature, a first preheating scheme of the heat pump unit (1) is determined based on local historical temperature data from the shutdown time to the startup time, including: According to the local historical temperature data from the shutdown time to the startup time, determine the local average temperature value from the shutdown time to the startup time; When the local average temperature value from the shutdown moment to the startup moment is less than the preset average temperature value, the crankshaft heating belt of the heat pump unit (1) is controlled to preheat for a first time period according to a first power value; when the local average temperature value from the shutdown moment to the startup moment is greater than or equal to the preset average temperature value, the crankshaft heating belt of the heat pump unit (1) is controlled to preheat for a first time period according to a second power value; wherein the first power value is greater than the second power value.

4. The method according to claim 3, characterized in that When the indoor temperature is lower than the preset indoor temperature, a second preheating scheme of the heat pump unit (1) is determined based on the indoor temperature and local historical temperature data from the shutdown time to the startup time, including: Determine the temperature difference between the preset indoor temperature and the indoor temperature, and determine the preheating adjustment coefficient corresponding to the temperature difference; and determine the local average temperature value from the shutdown time to the startup time based on the local historical temperature data from the shutdown time to the startup time; wherein the preheating adjustment coefficient is greater than 1, and the preheating adjustment coefficient increases as the temperature difference increases; When the local average temperature value from the shutdown moment to the startup moment is less than the preset average temperature value, the crankshaft heating belt of the heat pump unit (1) is controlled to preheat the second time period according to the product of the first power value and the preheating adjustment coefficient; when the local average temperature value from the shutdown moment to the startup moment is greater than or equal to the preset average temperature value, the crankshaft heating belt of the heat pump unit (1) is controlled to preheat the second time period according to the product of the second power value and the preheating adjustment coefficient; wherein the second time period is less than the first time period.

5. The method according to claim 4, characterized in that When the indoor temperature is lower than the preset indoor temperature, a second preheating scheme of the heat pump unit (1) is determined based on the indoor temperature and local historical temperature data from the shutdown time to the startup time, further comprising: After the crankshaft heating belt of the heat pump unit (1) is controlled to preheat for the second time period, the compressor of the heat pump unit (1) is simultaneously started to preheat for the third time period.

6. The method according to claim 5, characterized in that When the indoor temperature is lower than the preset indoor temperature, a second preheating scheme of the heat pump unit (1) is determined based on the indoor temperature and local historical temperature data from the shutdown time to the startup time, further comprising: After controlling the crankshaft heating belt of the heat pump unit (1) to preheat for a second time period, obtaining a first lubricating oil temperature value of the compressor of the heat pump unit (1); after starting the compressor of the heat pump unit (1) to preheat for a third time period, obtaining a second lubricating oil temperature value of the compressor of the heat pump unit (1); and determining a lubricating oil temperature difference between the second lubricating oil temperature value and the first lubricating oil temperature value; When the lubricating oil temperature difference is less than or equal to the first lubricating oil temperature difference, the second time period is reduced to the fourth time period; when the lubricating oil temperature difference is greater than the first lubricating oil temperature difference and less than or equal to the second lubricating oil temperature difference, the second time period is kept unchanged; when the lubricating oil temperature difference is greater than the second lubricating oil temperature difference, the second time period is increased to the fifth time period.

7. A heat pump preheating judgment system based on 4G Internet of Things, characterized in that: Comprising means for performing the method according to any one of claims 1 to 6.

8. A heat pump preheating judgment system based on 4G Internet of Things, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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