A heat pump control method, system and device based on solar energy and the Internet of Things

Abstract

The present invention relates to the field of heat pump technology, and provides a heat pump control method, system and device based on solar energy and the Internet of Things, the method comprising: constructing a heat pump Internet of Things for multiple heat pumps within a first radius, and arranging a sensor array for each heat pump; obtaining a multi-dimensional first heat pump operating parameter for a target heat pump object; obtaining a multi-dimensional second heat pump operating parameter for other heat pump objects; obtaining the initial operating parameters of the target heat pump object, and correcting the initial operating parameters according to the multi-dimensional first heat pump operating parameters and the multi-dimensional second heat pump operating parameters; and controlling the operation of the target heat pump object according to the corrected initial operating parameters. The present invention can combine multiple heat pump operating parameters in the heat pump Internet of Things, take into account the influence of environmental factors and other factors on the initial operating parameters of the heat pump, and improve the operating efficiency and safety of the heat pump system.

Description

Technical Field

[0001] The present invention relates to the technical field of heat pumps, and in particular to a heat pump control method, system and device based on solar energy and the Internet of Things. Background Art

[0002] As a highly efficient energy conversion device, the working principle of a heat pump is mainly to obtain low-level thermal energy from the air, water or soil in nature, and convert it into usable high-level thermal energy through electric power.

[0003] The correction of the initial working parameters of the heat pump system involves the safety and stability of the system. If the correction is not done properly, it may cause system overload, overheating or low pressure alarm and other faults. In serious cases, it may even damage the equipment or cause a safety accident. Therefore, how to self-correct the initial working parameters of the heat pump system has become an urgent problem to be solved.

[0004] In traditional heat pump systems, the initial operating parameters of the heat pump are usually set manually by technicians during the system installation or commissioning phase. The system does not have the ability to automatically correct the initial operating parameters, or its correction mechanism is not smart and flexible enough. Due to various factors such as changes in environmental conditions, equipment aging, operator errors, etc., the initially set parameters may gradually deviate from the optimal state, resulting in a decrease in the heating or cooling efficiency of the heat pump, or even causing system failure. Especially in some complex application scenarios, such as areas with large fluctuations in ambient temperature, the heat pump system needs to be able to automatically adjust its operating parameters according to changes in ambient temperature to maintain the optimal operating state.

[0005] In view of the above problems, it is necessary to develop a technical solution that can automatically and intelligently correct the initial working parameters of the heat pump system. Summary of the invention

[0006] Based on this, in order to solve the problem that the traditional heat pump system does not have the ability to automatically correct the initial working parameters or its correction mechanism is not smart and flexible enough to accurately deal with various complex situations, the present invention provides a heat pump control method, system and device based on solar energy and the Internet of Things, which constructs a heat pump Internet of Things for multiple heat pumps within a first radius, and arranges a sensor array for each of the heat pumps to obtain the multi-dimensional first heat pump working parameters of the target heat pump object and the multi-dimensional second working parameters of other heat pump objects, and corrects the initial working parameters according to the multi-dimensional first heat pump working parameters and the multi-dimensional second heat pump working parameters, and finally controls the operation of the target heat pump object according to the corrected initial working parameters, which can combine the multiple heat pump working parameters in the heat pump Internet of Things, take into account the influence of environmental factors on the initial working parameters of the heat pump, and improve the operation efficiency and safety of the heat pump system. The specific technical scheme is as follows:

[0007] A heat pump control method based on solar energy and the Internet of Things comprises the following steps:

[0008] Based on the Internet of Things technology, a heat pump Internet of Things is constructed for multiple heat pumps within the first radius, and a sensor array is arranged for each of the heat pumps;

[0009] For a target heat pump object, obtaining a multi-dimensional first heat pump operating parameter of the target heat pump object through the corresponding sensor array;

[0010] For other heat pump objects in the heat pump Internet of Things, obtaining multi-dimensional second heat pump operating parameters of the other heat pump objects through the corresponding sensor array;

[0011] Acquire initial operating parameters of a target heat pump object, and modify the initial operating parameters according to the multi-dimensional first heat pump operating parameters and the multi-dimensional second heat pump operating parameters;

[0012] The operation of the target heat pump object is controlled according to the corrected initial operating parameters.

[0013] The heat pump control method based on solar energy and the Internet of Things corrects the initial working parameters through the multi-dimensional first heat pump working parameters and the multi-dimensional second heat pump working parameters, and then controls the operation of the target heat pump object according to the corrected initial working parameters. It takes into account the factors that may affect the deviation of the initial working parameters from the optimal state, and can automatically and intelligently correct the initial working parameters of the heat pump, thereby improving the operating efficiency and safety of the heat pump system, and solving the problem that the existing heat pump system does not have the ability to automatically correct the initial working parameters or its correction mechanism is not smart and flexible enough to accurately respond to various complex situations.

[0014] Preferably, the specific method for correcting the initial operating parameters according to the multi-dimensional first heat pump operating parameters and the multi-dimensional second heat pump operating parameters comprises the following steps:

[0015] Obtaining a correlation between the first heat pump operating parameter and the corresponding second heat pump operating parameter in each dimension;

[0016] Correcting the multi-dimensional first heat pump operating parameter according to the correlation degree and the multi-dimensional second heat pump operating parameter;

[0017] The initial operating parameters are corrected according to the corrected multi-dimensional first heat pump operating parameters.

[0018] Preferably, the specific method for correcting the initial operating parameters according to the corrected multi-dimensional first heat pump operating parameters comprises the following steps:

[0019] Acquire a multi-dimensional first heat pump standard parameter of the target heat pump object;

[0020] According to the corrected multi-dimensional first heat pump operating parameters and the corrected multi-dimensional first heat pump standard parameters, respectively correct the initial opening of the throttle valve, the initial frequency of the compressor, and the initial speed of the fan;

[0021] The initial operating parameters include the initial opening of the throttle valve, the initial frequency of the compressor and the initial rotation speed of the fan.

[0022] Preferably, a specific method for obtaining the correlation between the first heat pump operating parameter and the corresponding second heat pump operating parameter in each dimension comprises the following steps:

[0023] Obtaining the distance between the target heat pump object and the other heat pump objects;

[0024] Respectively obtaining a first accuracy parameter of a sensor corresponding to the first heat pump operating parameter and a second accuracy parameter of a sensor corresponding to the corresponding second heat pump operating parameter in each dimension;

[0025] The degree of association is acquired according to the distance, the first precision parameter, and the second precision parameter.

[0026] A heat pump control system based on solar energy and the Internet of Things, used to implement the heat pump control method based on solar energy and the Internet of Things, comprising:

[0027] A sensor array module, for constructing a heat pump Internet of Things for a plurality of heat pumps within a first radius based on Internet of Things technology, and arranging a sensor array for each of the heat pumps;

[0028] A first heat pump operating parameter acquisition module, used for acquiring, for a target heat pump object, a multi-dimensional first heat pump operating parameter of the target heat pump object through the corresponding sensor array;

[0029] A second heat pump operating parameter acquisition module, used for acquiring multi-dimensional second heat pump operating parameters of other heat pump objects in the heat pump Internet of Things through the corresponding sensor array;

[0030] A parameter correction module, used for obtaining the initial operating parameters of the target heat pump object, and correcting the initial operating parameters according to the multi-dimensional first heat pump operating parameters and the multi-dimensional second heat pump operating parameters;

[0031] A control module is used to control the operation of the target heat pump object according to the corrected initial operating parameters.

[0032] Preferably, the correction module comprises:

[0033] A correlation degree acquisition unit, used to acquire the correlation degree between the first heat pump operating parameter and the corresponding second heat pump operating parameter in each dimension;

[0034] A correction unit is used to correct the multi-dimensional first heat pump operating parameters according to the correlation degree and the multi-dimensional second heat pump operating parameters, and to correct the initial operating parameters according to the corrected multi-dimensional first heat pump operating parameters.

[0035] Preferably, the correction unit is further used for:

[0036] Acquire a multi-dimensional first heat pump standard parameter of the target heat pump object;

[0037] According to the corrected multi-dimensional first heat pump operating parameters and the corrected multi-dimensional first heat pump standard parameters, respectively correct the initial opening of the throttle valve, the initial frequency of the compressor, and the initial speed of the fan;

[0038] The initial operating parameters include the initial opening of the throttle valve, the initial frequency of the compressor and the initial rotation speed of the fan.

[0039] Preferably, the association degree obtaining unit includes:

[0040] A distance acquisition subunit, used to acquire the distance between the target heat pump object and the other heat pump objects;

[0041] An accuracy parameter acquisition subunit, used to respectively acquire a first accuracy parameter of a sensor corresponding to the first heat pump operating parameter of each dimension and a second accuracy parameter of a sensor corresponding to the corresponding second heat pump operating parameter;

[0042] The association degree acquisition subunit acquires the association degree according to the distance, the first precision parameter, and the second precision parameter.

[0043] Preferably, the heat pump control system based on solar energy and the Internet of Things also includes:

[0044] Triangular prism support frame:

[0045] The PVT heat collection evaporation coil and the photovoltaic panel are fixedly mounted on the inclined surface of the triangular prism support frame;

[0046] The air-cooled evaporating coil and the fan are fixedly installed inside the triangular prism support frame.

[0047] A heat pump control device based on solar energy and the Internet of Things, comprising:

[0048] A memory storing executable instructions;

[0049] A controller is used to execute the executable instructions and implement the heat pump control method based on solar energy and the Internet of Things. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] The present invention can be further understood from the following description in conjunction with the accompanying drawings. The components in the figures are not necessarily drawn to scale, but the emphasis is placed on illustrating the principles of the embodiments. In different views, the same reference numerals designate corresponding parts.

[0051] Figure 1 It is a schematic diagram of the overall process of a heat pump control method based on solar energy and the Internet of Things in one embodiment of the present invention;

[0052] Figure 2 The following is a flow chart of a specific method for correcting initial working parameters in one embodiment of the present invention. Figure 1 ;

[0053] Figure 3 is a flowchart of a specific method for obtaining a correlation degree in one embodiment of the present invention;

[0054] Figure 4 The following is a flow chart of a specific method for correcting initial working parameters in one embodiment of the present invention. Figure 2 ;

[0055] Figure 5 This is a schematic diagram of the overall structure of a heat pump control system based on solar energy and the Internet of Things in one embodiment of the present invention;

[0056] Figure 6 is a schematic diagram of the overall structure of a heat pump system in one embodiment of the present invention;

[0057] Figure 7 It is a partial structural schematic diagram of a heat pump system in one embodiment of the present invention. DETAILED DESCRIPTION

[0058] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with its embodiments. It should be understood that the specific implementation methods described herein are only used to explain the present invention and do not limit the protection scope of the present invention.

[0059] It should be noted that when an element is referred to as being "fixed to" another element, it may be directly on the other element or there may be a central element. When an element is considered to be "connected to" another element, it may be directly connected to the other element or there may be a central element at the same time. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only and do not represent the only implementation method.

[0060] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0061] The “first” and “second” mentioned in the present invention do not represent specific quantities and orders, but are merely used to distinguish names.

[0062] Before describing the embodiments of the present invention in detail, a brief introduction to the prior art is given first.

[0063] As an efficient and environmentally friendly energy conversion device, heat pumps have been widely used in the fields of refrigeration and heating. In actual operation, the initial working parameters of the heat pump system often need to be dynamically adjusted according to actual environmental conditions and usage requirements to ensure its efficient and stable operation. The initial working parameter setting of traditional heat pump systems has the following problems:

[0064] 1. Usually, the parameters are manually set by technicians during the system installation or debugging stage. The parameter adjustment process is cumbersome and inaccurate, time-consuming and labor-intensive, and it is difficult to ensure the accuracy and adaptability of the parameters. There is a lack of ability to automatically correct the initial working parameters or the automatic correction mechanism is not smart enough.

[0065] 2. Poor environmental adaptability. The operating efficiency of the heat pump system is greatly affected by ambient temperature, humidity and other conditions. Traditional systems lack the ability to automatically adjust parameters according to environmental changes, resulting in a decline in system performance, reduced operating efficiency and safety.

[0066] In order to solve one of the problems existing in the above-mentioned traditional heat pump system, an embodiment of the present invention provides a heat pump control method based on solar energy and the Internet of Things, such as Figure 1 As shown, it includes the following steps:

[0067] S1. Based on the Internet of Things technology, a heat pump Internet of Things is constructed for multiple heat pumps within a first radius, and a sensor array is arranged for each of the heat pumps.

[0068] It can be understood. The first radius range can be pre-set by a technician, and multiple heat pumps are connected to each other in communication, and a heat pump Internet of Things is constructed by configuring at least one server and / or multiple routers. The sensor array corresponding to each heat pump is used to obtain the multi-dimensional working parameters of the heat pump. The multi-dimensional working parameters are characterized by environmental parameters that may affect the changes in the initial working parameters of the heat pump and deviate from the optimal state, such as ambient temperature and humidity, light intensity, wind speed and PM2.5 concentration, as well as the heat pump's own operating parameters such as years of service, coefficient of performance COP, heating performance coefficient COPh, and heating power. Correspondingly, the sensor array can be understood as multiple sensor modules that collect multi-dimensional working parameters, which are installed around the heat pump, on the heat pump body, and inside the heat pump pipeline.

[0069] Since environmental factors have a great influence on the working parameters of heat pumps, the correlation between the working parameters of heat pumps caused by environmental factors in different regions varies greatly. By setting the first radius range and building a heat pump Internet of Things for multiple heat pumps within the first radius range, heat pumps with a certain degree of correlation can be connected to the Internet, and irrelevant heat pumps can be screened out, thereby reducing the overall load of the system and improving the flexibility and response speed of heat pump system control.

[0070] Based on the Internet of Things technology, a heat pump Internet of Things is built among multiple heat pumps, and a sensor array is arranged for each of the heat pumps, which is conducive to the transmission and sharing of data between heat pumps and improves the overall efficiency and performance of the system.

[0071] S2, for a target heat pump object, obtaining a multi-dimensional first heat pump operating parameter of the target heat pump object through the corresponding sensor array.

[0072] S3, for other heat pump objects in the heat pump Internet of Things, obtaining multi-dimensional second heat pump operating parameters of the other heat pump objects through the corresponding sensor array.

[0073] The multi-dimensional first heat pump operating parameters and the multi-dimensional second heat pump operating parameters can be transmitted and shared via wireless transmission methods such as 4G, 5G or wired transmission methods such as optical fiber.

[0074] S4, obtaining initial operating parameters of the target heat pump object, and correcting the initial operating parameters according to the multi-dimensional first heat pump operating parameters and the multi-dimensional second heat pump operating parameters.

[0075] Preferably, if Figure 2 As shown, in step S4, the specific method for correcting the initial operating parameters according to the multi-dimensional first heat pump operating parameters and the multi-dimensional second heat pump operating parameters includes the following steps:

[0076] S41, obtaining the correlation between the first heat pump operating parameter and the corresponding second heat pump operating parameter in each dimension.

[0077] Specifically, if Figure 3 As shown, the specific method for obtaining the correlation degree includes:

[0078] S411, first obtain the distance between the target heat pump object and the other heat pump objects;

[0079] S412, respectively obtaining a first accuracy parameter of a sensor corresponding to the first heat pump operating parameter in each dimension and a second accuracy parameter of a sensor corresponding to the corresponding second heat pump operating parameter;

[0080] S413: Acquire the degree of association according to the distance, the first precision parameter, and the second precision parameter.

[0081] First, since environmental factors have a great influence on the heat pump operating parameters, the correlation between the heat pump operating parameters caused by environmental factors in different regions is quite different. If the distance between the target heat pump object and other heat pump objects is too far, the second heat pump operating parameters of other heat pump objects often have no reference significance for the correction of the initial operating parameters of the target heat pump object. The distance is expressed as the straight-line distance between the target heat pump object and the other heat pump objects.

[0082] Secondly, based on the distance between the target heat pump object and other heat pump objects, the heat pump sensor accuracy parameter is an important factor affecting the correction of the initial working parameters of the target heat pump object, which will affect the accuracy of the initial working parameter correction. Generally speaking, the higher the accuracy of the sensor corresponding to the target heat pump object and the sensors corresponding to other heat pump objects, and the higher the second accuracy parameter is than the first parameter accuracy, the better the correction effect of the multi-dimensional first heat pump working parameter based on the multi-dimensional second heat pump working parameter.

[0083] Preferably, the correlation Among them, Δd represents the distance between the target heat pump object and some other heat pump object, e represents the natural constant, α represents the distance adjustment coefficient, which can be set by a technician, ac1 represents the first precision parameter, ac2 represents the second precision parameter, β represents the precision parameter adjustment coefficient, which can be set by a technician, and C represents the correction constant set by the technician, which is generally zero.

[0084] S42: Correcting the multi-dimensional first heat pump operating parameter according to the correlation degree and the multi-dimensional second heat pump operating parameter.

[0085] Specifically, assuming that there are N other heat pump objects, for the first heat pump working parameter p of a certain dimension, first use the formula Obtain the correction factor σ, and correct the first heat pump operating parameter p of a certain dimension according to the correction factor σ, that is, p = p + σ. Where, p i Represents the second heat pump operating parameter of a certain dimension of the i-th other heat pump object. The first heat pump operating parameter of a certain dimension is consistent with the type of the second heat pump operating parameter of a certain dimension.

[0086] S43, correcting the initial operating parameters according to the corrected multi-dimensional first heat pump operating parameters.

[0087] Preferably, if Figure 4 As shown, in step S43, the specific method for correcting the initial operating parameters according to the corrected multi-dimensional first heat pump operating parameters includes the following steps:

[0088] S431, obtaining a multi-dimensional first heat pump standard parameter of the target heat pump object.

[0089] S432, respectively correcting the initial opening of the throttle valve, the initial frequency of the compressor, and the initial speed of the fan according to the corrected multi-dimensional first heat pump operating parameters and the multi-dimensional first heat pump standard parameters.

[0090] The initial operating parameters include the initial opening of the throttle valve, the initial frequency of the compressor and the initial rotation speed of the fan.

[0091] Specifically, a corresponding correction weight coefficient is set for the initial opening of the throttle valve, the initial frequency of the compressor and the initial speed of the fan respectively, and then the quotient between the corrected first heat pump operating parameter of each dimension and the corresponding first heat pump standard parameter is calculated, and then the weighted average of the corresponding quotient of each dimension and the corresponding correction weight coefficient is calculated, and finally the initial opening of the throttle valve, the initial frequency of the compressor and the initial speed of the fan are corrected according to the weighted average.

[0092] More specifically, the initial opening of the throttle valve after correction is equal to the product of the initial opening of the throttle valve before correction and the corresponding weighted average value, the initial speed of the fan after correction is equal to the product of the initial speed of the fan before correction and the corresponding weighted average value, and the initial frequency of the compressor after correction is equal to the product of the initial frequency of the compressor before correction and the corresponding weighted average value.

[0093] Of course, for the initial working parameters, a minimum parameter value and a maximum parameter value can also be set. If the revised initial working parameters are lower than the minimum parameter value, the minimum parameter value is used as the revised initial working parameters. If the revised initial working parameters are higher than the maximum parameter value, the maximum parameter value is used as the revised initial working parameters.

[0094] In this way, the initial operating parameters are corrected according to the multi-dimensional first heat pump operating parameters and the multi-dimensional second heat pump operating parameters, and factors such as ambient temperature and humidity that affect the operating efficiency of the heat pump system are taken into account. The method can automatically adjust the initial operating parameters of the target heat pump object according to environmental changes to protect the target heat pump object, improve system performance and environmental adaptability, and thereby improve its intelligence, operating efficiency and safety.

[0095] S5, controlling the operation of the target heat pump object according to the corrected initial operating parameters, that is, controlling the operating states of the throttle valve, the compressor and the fan respectively with the corrected initial opening of the throttle valve, the corrected initial frequency of the compressor and the corrected initial speed of the fan.

[0096] To sum up, the heat pump control method based on solar energy and the Internet of Things corrects the initial working parameters through the multi-dimensional first heat pump working parameters and the multi-dimensional second heat pump working parameters, and then controls the operation of the target heat pump object according to the corrected initial working parameters. It takes into account the factors that may affect the deviation of the initial working parameters from the optimal state, and can automatically and intelligently correct the initial working parameters of the heat pump, thereby improving the operating efficiency and safety of the heat pump system, and solving the problem that the existing heat pump system does not have the ability to automatically correct the initial working parameters or its correction mechanism is not smart and flexible enough to accurately respond to various complex situations.

[0097] An embodiment of the present invention provides a heat pump control system based on solar energy and the Internet of Things, which is used to implement the heat pump control method based on solar energy and the Internet of Things. Figure 5 As shown, it includes a sensor array module, a first heat pump operating parameter acquisition module, a second heat pump operating parameter acquisition module, a parameter correction module and a control module.

[0098] like Figure 6 as well as Figure 7 As shown, the heat pump control system based on solar energy and the Internet of Things also includes: a triangular prism support frame: a PVT heat collection evaporation coil and a photovoltaic panel, which are fixedly installed on the inclined surface of the triangular prism support frame; an air-cooled evaporation coil and a fan, which are fixedly installed inside the triangular prism support frame.

[0099] Specifically, the heat pump described in this embodiment has a structure mainly including: a triangular prism support frame: a PVT heat collection evaporation coil and a photovoltaic panel, which are fixedly mounted on the inclined surface of the triangular prism support frame; an air-cooled evaporation coil and a fan, which are fixedly mounted inside the triangular prism support frame. That is, the outdoor unit is integrated into the triangular prism support frame structure, the photovoltaic panel is laid on the inclined surface, with an inclination angle of 45°, an aluminum plate is laid on the back of the photovoltaic panel, and the two are bonded by a high thermal conductivity EVA glue, and a refrigerant coil is laid on the back of the aluminum plate, which mainly exchanges heat with the back of the photovoltaic panel; two rows of aluminum plates are laid inside the triangular prism support frame parallel to the photovoltaic panel, and an air-cooled evaporation coil is laid on the aluminum plate, and the aluminum plate and the coil form a finned heat exchanger to exchange heat with the air. A fan is placed on the side to enhance air disturbance and heat exchange.

[0100] During the day, photovoltaic panels generate electricity and heat under solar radiation, and the temperature of the photovoltaic panels is higher than the ambient air temperature. At this time, using PVT evaporator coils for heating can increase the evaporation temperature compared to air-cooled evaporator coils. At night, the photovoltaic panels exchange heat with the long-wave radiation of the low-temperature sky, which reduces the temperature of the photovoltaic panels. If PVT evaporator coils are used for heating, the evaporation temperature will be reduced, which may cause the coils to frost or even fail to work normally. At this time, air-cooled evaporator coils are used for heating to ensure the stability and efficiency of the system operation.

[0101] Of course, the PVT heat pump system also includes components such as a heat exchanger, an inverter, a solar controller, a water pump, a circulating water tank, etc. Since the specific structure of the PVT heat pump system belongs to conventional technical means in this field, it will not be repeated here.

[0102] The sensor array module is used to build a heat pump Internet of Things for multiple heat pumps within a first radius based on Internet of Things technology, and arrange a sensor array for each of the heat pumps; the first heat pump working parameter acquisition module is used to obtain the multi-dimensional first heat pump working parameters of the target heat pump object through the corresponding sensor array; the second heat pump working parameter acquisition module is used to obtain the multi-dimensional second heat pump working parameters of other heat pump objects in the heat pump Internet of Things through the corresponding sensor array.

[0103] The first radius range can be pre-set by the technicians, and multiple heat pumps are connected to each other in communication, and a heat pump Internet of Things is constructed by configuring at least one server and / or multiple routers. The sensor array corresponding to each heat pump is used to obtain the multi-dimensional working parameters of the heat pump. The multi-dimensional working parameters are characterized by environmental parameters that may affect the changes in the initial working parameters of the heat pump, deviating from the optimal state, such as ambient temperature and humidity, light intensity, wind speed and PM2.5 concentration, and the heat pump's own operating parameters such as years of service, performance coefficient COP, heating performance coefficient COPh, and heating power. Correspondingly, the sensor array can be understood as multiple sensor modules that collect multi-dimensional working parameters, which are installed around the heat pump, on the heat pump body, and inside the heat pump pipeline.

[0104] The parameter correction module is used to obtain the initial operating parameters of the target heat pump object, and to correct the initial operating parameters according to the multi-dimensional first heat pump operating parameters and the multi-dimensional second heat pump operating parameters; the control module is used to control the operation of the target heat pump object according to the corrected initial operating parameters.

[0105] Preferably, the correction module includes a correlation degree acquisition unit and a correction unit.

[0106] The correlation acquisition unit is used to obtain the correlation between the first heat pump operating parameter and the corresponding second heat pump operating parameter in each dimension; the correction unit is used to correct the multi-dimensional first heat pump operating parameter according to the correlation and the multi-dimensional second heat pump operating parameter, and to correct the initial operating parameter according to the corrected multi-dimensional first heat pump operating parameter.

[0107] The correction unit is also used to: obtain the multidimensional first heat pump standard parameters of the target heat pump object; and correct the initial opening of the throttle valve, the initial frequency of the compressor, and the initial speed of the fan according to the corrected multidimensional first heat pump operating parameters and the multidimensional first heat pump standard parameters.

[0108] The initial operating parameters include the initial opening of the throttle valve, the initial frequency of the compressor and the initial rotation speed of the fan.

[0109] The association degree acquisition unit includes a distance acquisition subunit, a precision parameter acquisition subunit and an association degree acquisition subunit.

[0110] The distance acquisition subunit is used to acquire the distance between the target heat pump object and the other heat pump objects; the accuracy parameter acquisition subunit is used to respectively acquire the first accuracy parameter of the sensor corresponding to the first heat pump operating parameter of each dimension and the second accuracy parameter of the sensor corresponding to the corresponding second heat pump operating parameter; the correlation degree acquisition subunit acquires the correlation degree according to the distance, the first accuracy parameter and the second accuracy parameter.

[0111] Specifically, a corresponding correction weight coefficient is set for the initial opening of the throttle valve, the initial frequency of the compressor and the initial speed of the fan respectively, and then the quotient between the corrected first heat pump operating parameter of each dimension and the corresponding first heat pump standard parameter is calculated, and then the weighted average of the corresponding quotient of each dimension and the corresponding correction weight coefficient is calculated, and finally the initial opening of the throttle valve, the initial frequency of the compressor and the initial speed of the fan are corrected according to the weighted average.

[0112] More specifically, the initial opening of the throttle valve after correction is equal to the product of the initial opening of the throttle valve before correction and the corresponding weighted average value, the initial speed of the fan after correction is equal to the product of the initial speed of the fan before correction and the corresponding weighted average value, and the initial frequency of the compressor after correction is equal to the product of the initial frequency of the compressor before correction and the corresponding weighted average value.

[0113] Of course, for the initial working parameters, a minimum parameter value and a maximum parameter value can also be set. If the revised initial working parameters are lower than the minimum parameter value, the minimum parameter value is used as the revised initial working parameters. If the revised initial working parameters are higher than the maximum parameter value, the maximum parameter value is used as the revised initial working parameters.

[0114] In this way, the initial operating parameters are corrected according to the multi-dimensional first heat pump operating parameters and the multi-dimensional second heat pump operating parameters, and factors such as ambient temperature and humidity that affect the operating efficiency of the heat pump system are taken into account. The method can automatically adjust the initial operating parameters of the target heat pump object according to environmental changes to protect the target heat pump object, improve system performance and environmental adaptability, and thereby improve its intelligence, operating efficiency and safety.

[0115] An embodiment of the present invention provides a heat pump control device based on solar energy and the Internet of Things, which includes: a memory storing executable instructions; a controller for executing the executable instructions and implementing the heat pump control method based on solar energy and the Internet of Things.

[0116] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0117] The above-mentioned embodiments only express several implementation methods of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A heat pump control method based on solar energy and the Internet of Things, characterized in that: The heat pump control method based on solar energy and the Internet of Things comprises the following steps: Based on the Internet of Things technology, a heat pump Internet of Things is constructed for multiple heat pumps within the first radius, and a sensor array is arranged for each of the heat pumps; For a target heat pump object, obtaining a multi-dimensional first heat pump operating parameter of the target heat pump object through the corresponding sensor array; For other heat pump objects in the heat pump Internet of Things, obtaining multi-dimensional second heat pump operating parameters of the other heat pump objects through the corresponding sensor array; Acquire initial operating parameters of a target heat pump object, and modify the initial operating parameters according to the multi-dimensional first heat pump operating parameters and the multi-dimensional second heat pump operating parameters; The operation of the target heat pump object is controlled according to the corrected initial operating parameters.

2. A heat pump control method based on solar energy and the Internet of Things as claimed in claim 1, characterized in that: The specific method for correcting the initial operating parameters according to the multi-dimensional first heat pump operating parameters and the multi-dimensional second heat pump operating parameters comprises the following steps: Obtaining a correlation between the first heat pump operating parameter and the corresponding second heat pump operating parameter in each dimension; Correcting the multi-dimensional first heat pump operating parameter according to the correlation degree and the multi-dimensional second heat pump operating parameter; The initial operating parameters are corrected according to the corrected multi-dimensional first heat pump operating parameters.

3. A heat pump control method based on solar energy and the Internet of Things as claimed in claim 2, characterized in that: The specific method for correcting the initial operating parameters according to the corrected multi-dimensional first heat pump operating parameters comprises the following steps: Acquire a multi-dimensional first heat pump standard parameter of the target heat pump object; According to the corrected multi-dimensional first heat pump operating parameters and the corrected multi-dimensional first heat pump standard parameters, respectively correct the initial opening of the throttle valve, the initial frequency of the compressor, and the initial speed of the fan; The initial operating parameters include the initial opening of the throttle valve, the initial frequency of the compressor and the initial rotation speed of the fan.

4. A heat pump control method based on solar energy and the Internet of Things as claimed in claim 3, characterized in that: A specific method for obtaining the correlation between the first heat pump operating parameter and the corresponding second heat pump operating parameter in each dimension comprises the following steps: Obtaining the distance between the target heat pump object and the other heat pump objects; Respectively obtaining a first accuracy parameter of a sensor corresponding to the first heat pump operating parameter and a second accuracy parameter of a sensor corresponding to the corresponding second heat pump operating parameter in each dimension; The degree of association is acquired according to the distance, the first precision parameter, and the second precision parameter.

5. A heat pump control system based on solar energy and the Internet of Things, used to implement the heat pump control method based on solar energy and the Internet of Things as claimed in any one of claims 1 to 4, characterized in that: The heat pump control system based on solar energy and the Internet of Things includes: A sensor array module, for constructing a heat pump Internet of Things for a plurality of heat pumps within a first radius based on Internet of Things technology, and arranging a sensor array for each of the heat pumps; A first heat pump operating parameter acquisition module, used for acquiring, for a target heat pump object, a multi-dimensional first heat pump operating parameter of the target heat pump object through the corresponding sensor array; A second heat pump operating parameter acquisition module, used for acquiring multi-dimensional second heat pump operating parameters of other heat pump objects in the heat pump Internet of Things through the corresponding sensor array; A parameter correction module, used for obtaining the initial operating parameters of the target heat pump object, and correcting the initial operating parameters according to the multi-dimensional first heat pump operating parameters and the multi-dimensional second heat pump operating parameters; A control module is used to control the operation of the target heat pump object according to the corrected initial operating parameters.

6. A heat pump control system based on solar energy and the Internet of Things as claimed in claim 5, characterized in that: The correction module comprises: a correlation degree obtaining unit, used for obtaining the correlation degree between the first heat pump operating parameter and the corresponding second heat pump operating parameter in each dimension; A correction unit is used to correct the multi-dimensional first heat pump operating parameters according to the correlation degree and the multi-dimensional second heat pump operating parameters, and to correct the initial operating parameters according to the corrected multi-dimensional first heat pump operating parameters.

7. A heat pump control system based on solar energy and the Internet of Things as claimed in claim 6, characterized in that: The correction unit is also used for: Acquire a multi-dimensional first heat pump standard parameter of the target heat pump object; According to the corrected multi-dimensional first heat pump operating parameters and the corrected multi-dimensional first heat pump standard parameters, respectively correct the initial opening of the throttle valve, the initial frequency of the compressor, and the initial speed of the fan; The initial operating parameters include the initial opening of the throttle valve, the initial frequency of the compressor and the initial rotation speed of the fan.

8. A heat pump control system based on solar energy and the Internet of Things as claimed in claim 7, characterized in that: The association degree acquisition unit comprises: A distance acquisition subunit, used to acquire the distance between the target heat pump object and the other heat pump objects; An accuracy parameter acquisition subunit, used to respectively acquire a first accuracy parameter of a sensor corresponding to the first heat pump operating parameter of each dimension and a second accuracy parameter of a sensor corresponding to the corresponding second heat pump operating parameter; The association degree acquisition subunit acquires the association degree according to the distance, the first precision parameter, and the second precision parameter.

9. A heat pump control system based on solar energy and the Internet of Things as claimed in claim 8, characterized in that: The heat pump control system based on solar energy and the Internet of Things also includes: Triangular prism support frame: The PVT heat collection evaporation coil and the photovoltaic panel are fixedly mounted on the inclined surface of the triangular prism support frame; The air-cooled evaporating coil and the fan are fixedly installed inside the triangular prism support frame.

10. A heat pump control device based on solar energy and the Internet of Things, characterized in that: The heat pump control device based on solar energy and the Internet of Things includes: A memory storing executable instructions; A controller is used to execute the executable instructions and implement the heat pump control method based on solar energy and the Internet of Things as described in any one of claims 1 to 4.

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