Heat pump preheating judgment method and system based on 4g internet of things

Abstract

The application relates to the field of communication control and discloses a heat pump preheating judgment method based on 4G Internet of Things, which comprises the following steps: uploading the shutdown time of a heat pump unit to a cloud control component through 4G Internet of Things; when the heat pump unit receives a start-up instruction, uploading the start-up time corresponding to the start-up instruction to the cloud control component through 4G Internet of Things; the cloud control component acquires indoor temperature and local historical temperature data from the shutdown time to the start-up time through 4G Internet of Things; according to the indoor temperature and the local historical temperature data from the shutdown time to the start-up time, a preheating scheme of the heat pump unit is determined, and the preheating scheme is sent from the cloud control component to the heat pump unit through 4G Internet of Things to control the heat pump unit to preheat. The preheating process of the heat pump is accurately controlled according to the shutdown time of the compressor through 4G Internet of Things.

Description

Technical Field

[0001] This application relates to the field of control and communication technology, and more specifically, to a method and system for judging heat pump preheating based on 4G Internet of Things. Background Technology

[0002] Heat pump systems are widely used in cold regions. They absorb heat from the outdoor low-temperature environment and supply heat to the indoor environment through the compressor. When operating in cold environments, the compressor of a heat pump system faces the following challenges: 1. When the temperature is too low, the viscosity of the lubricating oil increases and its fluidity decreases, which affects the lubrication effect of the compressor and increases the risk of compressor damage. Therefore, preheating the heat pump before starting it in low-temperature conditions is a crucial step to ensure its safe operation. Preheating can effectively increase the temperature of the lubricating oil and reduce its viscosity, thereby improving the flow performance of the lubricating oil and ensuring adequate lubrication of the compressor. 2. Because the Real-Time Clock (RTC) chip, in conjunction with the supercapacitor, can only operate normally for about one week at most, and the clock chip may also fail due to low temperatures or prolonged operation, when the heat pump is powered off for an extended period, the clock chip will be unable to perform its corresponding function, meaning it cannot accurately time the compressor's downtime. The inability to accurately time the compressor's downtime will prevent the heat pump from comprehensively determining whether preheating is needed based on the previous operating conditions, potentially leading to misjudgments in compressor preheating. Misjudgment of compressor preheating can not only lead to excessive energy loss, but may also affect the operating efficiency and lifespan of the compressor's heat pump.

[0003] Patent CN104848482B (application number: CN201510221985.5) discloses a preheating control method for an air conditioner compressor. This method includes: determining the compressor status; if the compressor status requires preheating, then determining the temperature conditions; if the temperature conditions require preheating, activating the compressor preheating control; and if the compressor status does not require preheating, or if the compressor status requires preheating but the temperature conditions do not require preheating, deactivating the compressor preheating control. This method can reduce the power consumption of compressor preheating while starting the compressor normally. However, the method in patent CN104848482B cannot solve the problem that the inability to properly time the compressor's downtime leads to the inability to properly control the heat pump's preheating process. 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 properly controlled because the downtime of the compressor cannot be properly timed. It achieves the technical effect of accurately controlling the preheating process of the heat pump based on the downtime of the compressor through 4G Internet of Things.

[0005] This application provides a method for determining heat pump preheating based on 4G IoT. The method includes: uploading the shutdown time of the heat pump unit to a cloud control component via 4G IoT; when the heat pump unit receives a start-up command, uploading the start-up time corresponding to the start-up command to the cloud control component via 4G IoT; the cloud control component acquiring indoor temperature and local historical temperature data from the shutdown time to the start-up time via 4G IoT; determining a preheating scheme for the heat pump unit based on the indoor temperature and the local historical temperature data from the shutdown time to the start-up time; and sending the preheating scheme from the cloud control component to the heat pump unit via 4G IoT to control the heat pump unit to perform preheating.

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

[0007] In another possible implementation, when the indoor temperature is greater than or equal to a preset indoor temperature, a first preheating scheme for the heat pump unit is determined based on local historical temperature data from the shutdown time to the startup time. This scheme includes: 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; when the local average temperature value from the shutdown time to the startup time is less than a 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; and 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 a 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 a preset indoor temperature, a second preheating scheme for the heat pump unit is determined based on the indoor temperature and local historical temperature data from the shutdown time to the startup time. This includes: determining the preset indoor temperature and the temperature difference between the indoor temperatures, and determining a 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; when the local average temperature value from the shutdown time to the startup time is less than the preset average temperature value, the crankshaft heating belt of the heat pump unit is controlled to preheat for a second time period according to the product of a 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 for a second time period according to the product of a second power value and the preheating adjustment coefficient; wherein the second time period is shorter 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 for the heat pump unit is determined based on the indoor temperature and local historical temperature data from the shutdown time to the startup time. This scheme also includes: after controlling the crankshaft heating belt of the heat pump unit to preheat for a second time period, the compressor of the heat pump unit is started to preheat for a third time period.

[0010] In another possible implementation, when the indoor temperature is lower than a preset indoor temperature, a second preheating scheme for the heat pump unit is determined based on the indoor temperature and local historical temperature data from the shutdown time to the startup time. This further includes: after controlling the crankshaft heating belt of the heat pump unit to preheat for a second time period, obtaining the first lubricating oil temperature value of the heat pump unit's compressor; after starting the heat pump unit's compressor to preheat for a third time period, obtaining the second lubricating oil temperature value of the heat pump unit's compressor; and determining the lubricating oil temperature difference between the second and first lubricating oil temperatures; when the lubricating oil temperature difference is less than or equal to the first lubricating oil temperature difference, decreasing the second time period to a fourth time period; when the lubricating oil temperature difference is greater than the first lubricating oil temperature difference but less than or equal to the second lubricating oil temperature difference, keeping the second time period unchanged; and 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] This application also provides a heat pump preheating judgment system based on 4G Internet of Things, including a unit for performing the method described above.

[0012] This 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. When the processor executes the computer program, it implements the method described above.

[0013] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the method described above.

[0014] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the method described above.

[0015] The beneficial effects of the embodiments of this application compared with the prior art are:

[0016] This application provides a method for determining heat pump preheating based on 4G IoT. The method includes: uploading the shutdown time of the heat pump unit to a cloud control component via 4G IoT; when the heat pump unit receives a start-up command, uploading the start-up time corresponding to the command to the cloud control component via 4G IoT; the cloud control component acquiring indoor temperature and local historical temperature data from the shutdown time to the start-up time via 4G IoT; determining a preheating scheme for the heat pump unit based on the indoor temperature and the local historical temperature data from the shutdown time to the start-up time; and sending the preheating scheme from the cloud control component to the heat pump unit via 4G IoT to control the heat pump unit to perform preheating. This application enables precise control of the heat pump unit's preheating process via 4G IoT, accurately and intelligently controlling the preheating process based on the heat pump unit's shutdown time, start-up time, indoor temperature, and local historical temperature data from the shutdown time to the start-up time, improving the control accuracy of the heat pump unit's preheating process and extending the service life of the heat pump unit. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 A flowchart illustrating a heat pump preheating determination method based on 4G Internet of Things provided in this application embodiment;

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

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

[0021] Figure 4 A schematic diagram of another heat pump preheating judgment system based on 4G Internet of Things provided in this application embodiment. Detailed Implementation

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

[0023] It should also be understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0024] As used in this application specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrase "if determined" or "if detected [the described condition or event]" may be interpreted, depending on the context, as meaning "once determined," "in response to determination," "once detected [the described condition or event]," or "in response to detection [the described condition or event]."

[0025] Furthermore, in the description of this application and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0026] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0027] In existing heat pump system preheating methods, the problem of abnormal control of the heat pump preheating process cannot be solved when the compressor shutdown time cannot be properly timed.

[0028] Based on the above reasons, this application provides a heat pump preheating determination method based on 4G IoT. The method includes: uploading the shutdown time of the heat pump unit to a cloud control component via 4G IoT; when the heat pump unit receives a start-up command, uploading the start-up time corresponding to the start-up command to the cloud control component via 4G IoT; the cloud control component acquiring indoor temperature and local historical temperature data from the shutdown time to the start-up time via 4G IoT; determining a preheating scheme for the heat pump unit based on the indoor temperature and the local historical temperature data from the shutdown time to the start-up time; and sending the preheating scheme from the cloud control component to the heat pump unit via 4G IoT to control the heat pump unit to perform preheating. This application embodiment can precisely control the preheating process of the heat pump unit via 4G IoT, and can accurately and intelligently control the preheating process of the heat pump unit based on the shutdown time, start-up time, indoor temperature, and local historical temperature data from the shutdown time to the start-up time, improving the control accuracy of the heat pump unit's preheating process and extending the service life of the heat pump unit.

[0029] In some scenarios, the heat pump preheating judgment method based on 4G Internet of Things in this application embodiment can be applied to the preheating control of heat pump air conditioning units. It can accurately control the preheating process of the heat pump system by using 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 describes in detail, with specific examples, a heat pump preheating judgment method based on 4G Internet of Things provided in the embodiments of this application.

[0031] Figure 1 A flowchart illustrating a heat pump preheating determination method based on 4G IoT provided in this application embodiment is shown below. Figure 1 As shown, this method includes S110 to S130, and S110 to S130 will be described in detail below.

[0032] S110. The shutdown time of heat pump unit 1 is uploaded to cloud control component 2 via 4G Internet of Things.

[0033] Figure 2 A schematic diagram of the system used in the heat pump preheating judgment method based on 4G Internet of Things provided in this application embodiment is shown below. Figure 2 As shown, a 4G IoT device is installed on the heat pump unit 1. The 4G IoT device enables 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 via the 4G IoT. In this way, the cloud control component 2 can continuously record the stop time of the heat pump unit 1, ensuring that the stop time of the heat pump unit 1 can be accurately recorded.

[0034] Existing heat pump units typically record downtime using a clock chip installed on the unit. However, the clock chip (Real-Time Clock, RTC) and its supercapacitor can only operate normally for about a week at most. The clock chip may also fail due to low temperatures or prolonged operation. In this embodiment, the cloud control component 2 can stably record the downtime of the heat pump unit 1.

[0035] S120. When the heat pump unit 1 receives the start-up command, it uploads the start-up time corresponding to the start-up command to the cloud control component 2 via 4G IoT. The cloud control component 2 obtains the indoor temperature and local historical temperature data from the shutdown time to the start-up time via 4G IoT.

[0036] When the heat pump unit 1 needs to be turned on again, the start-up time of the heat pump unit 1 can be recorded when the heat pump unit 1 receives the start-up command. The start-up time corresponding to the start-up command can be uploaded to the cloud control component 2 via 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] To improve the control effect of the preheating process of heat pump unit 1, the cloud control component 2 can acquire indoor temperature and local historical temperature data from the time of shutdown to the time of startup through 4G Internet of Things. Then, the working status of heat pump unit 1 can be controlled according to the indoor temperature and the local historical temperature data during the shutdown period of heat pump unit 1. The indoor temperature can reflect the urgency of heat pump unit 1 when heating, and the local historical temperature data during the shutdown period of heat pump unit 1 can reflect the degree of lubricating oil cooling when the compressor of heat pump unit 1 is shut down.

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

[0039] When in operation, the lower the indoor temperature, the greater the need to turn on heat pump unit 1 to heat and raise the indoor temperature; the higher the indoor temperature, the less the need to turn on heat pump unit 1 to heat and raise the indoor temperature.

[0040] For example, when obtaining indoor temperature via 4G IoT, the indoor temperature can be obtained through a temperature measurement component with 4G IoT functionality.

[0041] S130. Based on the indoor temperature and local historical temperature data from the time of shutdown to the time of startup, determine the preheating scheme of heat pump unit 1, and send the preheating scheme from cloud control component 2 to heat pump unit 1 via 4G Internet of Things to control heat pump unit 1 to perform preheating.

[0042] During operation, the preheating scheme of heat pump unit 1 can be determined based on the indoor temperature and local historical temperature data from the time of shutdown to the time of startup. This allows for control of the preheating process of heat pump unit 1. The preheating scheme is then sent from cloud control component 2 to heat pump unit 1 via 4G Internet of Things to control the heat pump unit 1 to perform preheating, thus realizing intelligent control of the preheating process of heat pump unit 1.

[0043] The beneficial effect of the above implementation method is that the embodiments of this application can stably record the shutdown time of the heat pump unit through the cloud control component, thus ensuring the accurate control of the preheating process of the heat pump unit.

[0044] The beneficial effects of the above implementation method are that the preheating scheme is determined by the indoor temperature, which reflects the urgency of the heat pump unit when heating, and the local historical temperature data during the shutdown period of the heat pump unit, which reflects the degree of cooling of the lubricating oil when the compressor is cooled down. The preheating scheme is intelligently determined based on the indoor temperature and historical temperature data. The preheating scheme is sent from the cloud control component to the heat pump unit through 4G Internet of Things to control the heat pump unit to perform preheating, thereby improving the preheating effect of the heat pump unit.

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

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

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

[0048] For example, the preset indoor temperature can be 0℃, 5℃ or 10℃.

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

[0050] When the indoor temperature is lower than the preset indoor temperature during operation, 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 heat pump unit 1 are the indoor temperature and local historical temperature data. At this time, a second preheating scheme for heat pump unit 1 can be determined based on the indoor temperature and the local historical temperature data from the time of shutdown to the time of startup. This scheme 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 of the above 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 scheme of the heat pump unit based on the indoor temperature and the local historical temperature data from the time of shutdown to the time of startup. This ensures that the heat pump unit can meet the indoor temperature conditions during preheating, improves the intelligence of the preheating process, and enhances the user experience.

[0052] In some implementations, in S210 above, when the indoor temperature is greater than or equal to the preset indoor temperature, the 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. S211 to S212 will be explained in detail below.

[0053] S211. Based on the local historical temperature data from the time of shutdown to the time of startup, determine the local average temperature value from the time of shutdown to the time of startup.

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

[0055] For example, if the time between shutdown and startup is 2 days, historical local temperature data for those 2 days from previous years can be obtained. This historical local temperature data includes temperature values ​​at different times during those 2 days. The average of these temperature values ​​is calculated to obtain the local average temperature from shutdown to startup. For example, the local average temperature could be -14℃, 2℃, or 15℃.

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

[0057] Before preheating, if the local average temperature from shutdown to startup is lower than the preset average temperature, it indicates that the local average temperature from shutdown to startup is too low. In this case, the compressor lubricating oil temperature in the heat pump unit is affected by the low temperature and requires greater preheating intensity to ensure a greater increase in the compressor lubricating oil temperature. During compressor preheating, the crankshaft heating belt of heat pump unit 1 can be controlled to preheat for a first time period according to the first power value. Preheating the compressor crankshaft can reduce the frictional resistance during startup of heat pump unit 1, improve startup efficiency, reduce energy consumption, and extend the service life of the compressor.

[0058] For example, the first power value for compressor preheating can be 30% of the rated power, and the first preheating time period can be 30 min to 60 min.

[0059] Before preheating, if the local average temperature value from the time of shutdown to the time of startup is greater than or equal to the preset average temperature value, it indicates that the local average temperature value from the time of shutdown to the time of startup is relatively high. At this time, the crankshaft heating belt of 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. This allows the power of the crankshaft heating belt to be reduced when the local average temperature value is relatively high, so as to achieve the purpose of preheating the compressor to the start-up temperature range.

[0060] The beneficial effect of the above 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 startup temperature range, thereby reducing the energy consumption of compressor preheating.

[0061] In some implementations, in S220 above, when the indoor temperature is lower than the preset indoor temperature, a second 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, including S221 to S222. S221 to S222 will be explained in detail below.

[0062] S221. Determine the preset indoor temperature and the temperature difference between the indoor and preheating temperatures, and determine the preheating adjustment coefficient corresponding to the temperature difference. Based on 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. The preheating adjustment coefficient is greater than 1, and it 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. The preheating speed of the heat pump unit should be increased to quickly raise the indoor temperature and improve the user experience of the heat pump unit when raising the indoor temperature.

[0064] During operation, the preset indoor temperature and the temperature difference between the indoor temperature can be determined, and the 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] During operation, the preheating adjustment coefficient is greater than 1, which allows the heat pump unit to increase its preheating intensity when the indoor temperature is low, thereby increasing the speed at which the heat pump unit can be put into use.

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

[0067] For example, when the indoor temperature is -25℃, the preheating adjustment coefficient can be 3; when the indoor temperature is -15℃, the preheating adjustment coefficient can be 2; and when the indoor temperature is -5℃, the preheating adjustment coefficient can be 1.5.

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

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

[0070] When in use, if the local average temperature from the time of shutdown to the time of startup is less than the preset average temperature, it indicates that the indoor temperature is less than the preset indoor temperature, and the local average temperature from the time of shutdown to the time of startup is also low. In this case, by taking into account the influence of indoor temperature on the preheating speed of the heat pump unit, the crankshaft heating belt of heat pump unit 1 can be controlled to preheat for a second time period according to the product of the first power value and the preheating adjustment coefficient. When the crankshaft heating belt of 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 heat pump unit 1.

[0071] When in use, if the local average temperature value from the time of shutdown to the time of startup is greater than or equal to the preset average temperature value, it indicates that the local average temperature value from the time of shutdown to the time of startup is relatively high. At this time, the preheating power of the crankshaft heating belt of heat pump unit 1 can be appropriately reduced. The crankshaft heating belt of heat pump unit 1 is controlled to preheat for a 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 start-up temperature range. At the same time, the influence of indoor temperature on the preheating intensity of the heat pump unit can be taken into account.

[0072] During operation, the second preheating period is shorter than the first period, which allows the heat pump unit to preheat in a shorter time when the indoor temperature is lower than the preset indoor temperature. This enables the heat pump unit to heat the room more quickly and improves the user experience when regulating the indoor temperature.

[0073] The beneficial effect of the above implementation method is that, by 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. This allows for a faster increase in indoor temperature when the indoor temperature is low, thus improving the utilization effect of the indoor temperature.

[0074] The beneficial effect of the above implementation method is that the second preheating time period is shorter than the first time period, which allows the heat pump unit to be preheated in a shorter time when the indoor temperature is lower than the preset indoor temperature, thus improving the user experience of the heat pump unit when regulating 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, the 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. It also includes: after controlling the crankshaft heating belt of the heat pump unit 1 to preheat for a second time period, the compressor of the heat pump unit 1 is started to preheat for a third time period.

[0076] During operation, after the crankshaft heating belt of heat pump unit 1 has been preheated for the second time period, the temperature of the lubricating oil in the compressor of heat pump unit 1 can be raised to a certain extent. At the same time, the compressor of heat pump unit 1 can be preheated for the third time period. This can avoid damage to the compressor caused by directly starting the compressor. Furthermore, by starting the compressor to continue preheating, the preheating speed of the compressor can be improved.

[0077] The beneficial effect of the above 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 by preheating through the crankshaft heating belt, the compressor of the heat pump unit is started in the third preheating period. This can avoid directly starting the compressor and reducing its service life. At the same time, by starting the compressor to continue preheating, the preheating speed of the compressor can be improved.

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

[0079] S223. After the crankshaft heating belt of heat pump unit 1 has preheated for the second time period, the first lubricating oil temperature value of the compressor of heat pump unit 1 is obtained. After the compressor of heat pump unit 1 has been preheated for the third time period, the second lubricating oil temperature value of the compressor of heat pump unit 1 is obtained. The lubricating oil temperature difference between the second lubricating oil temperature value and the first lubricating oil temperature value is determined.

[0080] During operation, after the crankshaft heating belt of the heat pump unit 1 has been preheated for a second time period, the first lubricating oil temperature value of the compressor of the heat pump unit 1 can be obtained, and the preheating process of the heat pump unit can be monitored based on the first lubricating oil temperature value.

[0081] For example, the temperature of the compressor's lubricating oil can be detected by a temperature sensor located on the side wall of the compressor's lubricating oil cavity.

[0082] During operation, after the compressor of heat pump unit 1 is started and preheated for the third time period, the second lubricating oil temperature value of the compressor of heat pump unit 1 is obtained. Then, the preheating process of the heat pump unit is monitored based on the second lubricating oil temperature value. Subsequently, the second lubricating oil temperature value and the first lubricating oil temperature value can be compared, and the preheating effect of the compressor in the second and third time periods can be compared.

[0083] During operation, the temperature difference between the second and first lubricating oil temperatures can be determined, and the preheating effect of the compressor can be monitored based on 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, decrease the second time period to the fourth time period. When the lubricating oil temperature difference is greater than the first lubricating oil temperature difference but 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 the fifth time period.

[0085] When the lubricating oil temperature difference is less than or equal to the first lubricating oil temperature difference during operation, it indicates that the temperature of the lubricating oil has already been significantly increased during the preheating stage of the crankshaft heating belt of heat pump unit 1. The temperature increase of the lubricating oil is not significant during the third preheating stage of the compressor of heat pump unit 1. At this time, the second to fourth time periods can be reduced to shorten the preheating time of the crankshaft heating belt, thereby reducing the heating time of the crankshaft heating belt and saving the electrical 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 remains unchanged. This indicates that the temperature increase of the lubricating oil during the crankshaft heating belt preheating stage of heat pump unit 1 is not significantly different from the temperature increase of the lubricating oil during the compressor preheating stage of starting heat pump unit 1. This means that both the crankshaft heating belt preheating and the compressor starting of heat pump unit 1 have achieved the corresponding lubricating oil temperature increase effect. At this time, the second time period can be kept unchanged to maintain this preheating scheme and ensure that the heat pump unit has a stable preheating effect.

[0087] During operation, when the lubricating oil temperature difference exceeds the second lubricating oil temperature difference, extending the second time period to the fifth time period indicates that the lubricating oil temperature increase during the crankshaft heating zone preheating stage of heat pump unit 1 is already minimal. However, the excessive temperature increase during the third time period of compressor preheating in heat pump unit 1 leads to a greater lubricating oil temperature rise during compressor startup compared to the crankshaft heating zone preheating stage. Therefore, extending the second time period to the fifth time period ensures a greater lubricating oil temperature rise during the crankshaft heating zone preheating stage, preventing the compressor from starting at a low lubricating oil temperature. This corrects the heat pump unit's preheating scheme and improves its service life.

[0088] The beneficial effects of the above implementation method are that by comparing the preheating effect of the compressor in the second and third time periods, the heating time of the crankshaft heating belt can be reduced, saving the electricity used by the crankshaft heating belt, or the compressor of the heat pump unit can be prevented from starting when the lubricating oil temperature is low. This realizes the modification of the preheating scheme of the heat pump unit and improves the service life of the heat pump unit.

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

[0090] Figure 3 A schematic diagram of the logic structure of a heat pump preheating judgment system based on 4G Internet of Things provided in an embodiment of this application is shown below. 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-described method. The beneficial effects brought about by the embodiments of this application have been described in the above-described method and will not be repeated here.

[0091] This 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. When the processor executes the computer program, it implements the method described above.

[0092] Figure 4 This is 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 this application, as shown below. Figure 4 As shown, the system 4 of this embodiment includes: at least one processor 40 ( Figure 4 Only one processor 40, a memory 41, and a computer program 42 stored in the memory 41 and executable on the at least one processor 40 are shown. When the processor 40 executes the computer program 42, it implements the steps in any of the above-described method embodiments. The beneficial effects of the embodiments of this application have been described in the above-described methods and will not be repeated here.

[0093] It should be noted that the information interaction and execution process between the above-mentioned devices / units are based on the same concept as the method embodiments of this application. For details on their specific functions and technical effects, please refer to the method embodiments section, and they will not be repeated here.

[0094] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to 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 embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0095] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps described in the various method embodiments above.

[0096] This application provides a computer program product that, when run on a mobile terminal, enables the mobile terminal to implement the steps described in the above-described method embodiments.

[0097] If the integrated unit is implemented as 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, all or part of the processes in the methods of the above embodiments of this application can be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include at least: any entity or device capable of carrying computer program code to a photographing device / terminal device, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium. Examples include USB flash drives, portable hard drives, magnetic disks, or optical disks. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electrical carrier signals or telecommunication signals.

[0098] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0099] Those skilled in the art will recognize that the units and algorithm steps of the various examples 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 implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0100] In the embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

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

[0102] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for determining heat pump preheating based on 4G IoT, characterized in that, The method includes: The shutdown time of the heat pump unit (1) is uploaded to the cloud control component (2) via 4G Internet of Things. When the heat pump unit (1) receives the start command, it uploads the start time corresponding to the start command to the cloud control component (2) via 4G Internet of Things. The cloud control component (2) obtains the indoor temperature and local historical temperature data from the stop time to the start time via 4G Internet of Things. Based on the indoor temperature and local historical temperature data from the time of shutdown to the time of startup, the preheating scheme of the heat pump unit (1) is determined, and the preheating scheme is sent from the cloud control component (2) to the heat pump unit (1) via 4G Internet of Things to control the heat pump unit (1) to perform preheating. Based on the indoor ambient temperature and local historical temperature data from the time of shutdown to the time of startup, the preheating scheme of the heat pump unit (1) is determined, including: When the indoor temperature is greater than or equal to the preset indoor temperature, the 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. When the indoor temperature is lower than the preset indoor temperature, the second preheating scheme of the heat pump unit (1) is determined based on the indoor temperature and the local historical temperature data from the time of shutdown to the time of startup. When the indoor temperature is greater than or equal to the preset indoor temperature, the 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: Based on the local historical temperature data from the time of shutdown to the time of startup, determine the local average temperature value from the time of shutdown to the time of startup; When the local average temperature value from the shutdown time to the startup time 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 the 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, the crankshaft heating belt of the heat pump unit (1) is controlled to preheat for a first time period according to the second power value; wherein, the first power value is greater than the second power value; When the indoor temperature is lower than the preset indoor temperature, a second 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, including: Determine the preset indoor temperature and the temperature difference between the indoor temperature, and determine the preheating adjustment coefficient corresponding to the temperature difference; and determine the local average temperature value from the time of shutdown to the time of startup based on the local historical temperature data from the time of shutdown to the time of startup; 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 time to the startup time is less than the preset average temperature value, the crankshaft heating belt of the heat pump unit (1) is controlled to preheat for a 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 (1) is controlled to preheat for a 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.

2. The method as described in claim 1, characterized in that, When the indoor temperature is lower than the preset indoor temperature, a second 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 further includes: After the crankshaft heating belt of the heat pump unit (1) has been preheated for the second time period, the compressor of the heat pump unit (1) is started at the same time for the third time period.

3. The method as described in claim 2, characterized in that, When the indoor temperature is lower than the preset indoor temperature, a second 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 further includes: After the crankshaft heating belt of the heat pump unit (1) is preheated for a second time period, the first lubricating oil temperature value of the compressor of the heat pump unit (1) is obtained; after the compressor of the heat pump unit (1) is started for a third time period of preheating, the second lubricating oil temperature value of the compressor of the heat pump unit (1) is obtained; and the lubricating oil temperature difference between the second lubricating oil temperature value and the first lubricating oil temperature value is determined. 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 remains 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.

4. A heat pump preheating judgment system based on 4G Internet of Things, characterized in that, Includes a unit for performing the method according to any one of claims 1 to 3.

5. 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, it implements the method as described in any one of claims 1 to 3.

6. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the method as described in any one of claims 1 to 3.

7. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 3.

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