Energy regulation method and system for air conditioning system

Abstract

The present application relates to the field of air conditioning energy-saving technology, and in particular to an energy regulation method and system for air conditioning systems. The method includes: dividing the room space into a cold domain space and a cold spread space; obtaining the temperature point cloud of the three-dimensional space of the room in real time through an infrared thermal imaging component; establishing a temperature field according to the temperature point cloud; determining the cold force dissipation state in different spatial directions in the room according to the temperature field, the cold domain space and the cold spread space; determining the return air optimization scheme for cold treatment of the return air temperature of the air conditioner according to the temperature field; determining the refrigeration temperature and airflow organization form of the air conditioner according to the cold domain space, the temperature field and the cold force dissipation state; using the return air optimization scheme, the refrigeration temperature and the airflow organization form as the energy regulation scheme of the air conditioning system. The cold domain space can reach the required comfortable temperature more quickly, and by suppressing the cold force dissipation state, unnecessary cold loss can be reduced and the refrigeration efficiency can be improved.

Description

Technical Field

[0001] The present application relates to the field of air conditioning energy saving technology, and in particular to an energy regulation method and system for an air conditioning system. Background Art

[0002] In modern air-conditioning systems, achieving high energy efficiency and a comfortable environment is a common goal pursued by users and manufacturers. Traditional air-conditioning systems mainly rely on temperature sensors to monitor indoor temperature and then cool or heat according to preset values, but this method usually lacks fine-grained perception of indoor space temperature distribution.

[0003] In the prior art, the air conditioner has an efficient energy-saving system and an anti-direct blowing system, which also results in the air conditioner being unable to quickly adjust the room temperature during use, especially when the user enters the room and turns on the air conditioner for the first time after exercising, it is difficult to quickly achieve the expected cooling effect; therefore, how to meet the demand for rapid room cooling while maintaining efficient energy saving has become a key issue that needs to be solved urgently. Summary of the invention

[0004] The present application provides an energy regulation method and system for an air conditioning system to solve the above-mentioned problems.

[0005] In a first aspect, the present application provides an energy regulation method for an air conditioning system, which is applied to an air conditioner indoor unit; the air conditioner indoor unit comprises: a laser radar component and an infrared thermal imaging component are integrated on the air conditioner indoor unit; the method comprises: dividing a room space into a cold domain space and a cold spread space;

[0006] Acquire the temperature point cloud of the three-dimensional space of the room in real time through the infrared thermal imaging component; establish the temperature field according to the temperature point cloud;

[0007] Determining the cold force dissipation state in different spatial directions in the room according to the temperature field, the cold domain space and the cold spreading space;

[0008] Determine a return air optimization scheme for cooling the return air temperature of the air conditioner according to the temperature field;

[0009] Determining the cooling temperature and airflow organization form of the air conditioner according to the cold domain space, the temperature field and the cold force dissipation state;

[0010] The return air optimization scheme, the cooling temperature and the air flow organization form are used as an energy regulation scheme for the air conditioning system.

[0011] Through the above technical solution, the temperature point cloud of the three-dimensional space of the room is obtained in real time through infrared thermal imaging, and the temperature field is established. This method can accurately monitor the temperature changes in the room. Therefore, the air conditioner operation can be dynamically adjusted according to the actual temperature data to ensure that the temperature of each area is more uniform and improve the overall comfort. After the room space is divided into the cold domain space and the cold spread space, the distribution of cold air can be managed more effectively, so that the cold domain space can reach the required comfortable temperature more quickly. By suppressing the cold force dissipation state, unnecessary cold loss can be reduced and the cooling efficiency can be improved. The temperature field data and the state of the cold domain space and the cold spread space are used to reduce the energy consumption of the air conditioning equipment, that is, the cooling temperature and air flow organization form of the air conditioner are adaptively adjusted to achieve the most reasonable energy use and achieve the energy saving goal. The return air temperature is processed according to the return air optimization plan to avoid water spraying of the air conditioner during the cooling process. By optimizing the air flow organization form, the indoor air circulation is more reasonable, avoiding local discomfort caused by improper air flow, which not only helps to improve the comfort, but also reduces the loss of cold and warm air caused by uneven temperature. Since the temperature point cloud data can be acquired and analyzed in real time, the system can quickly respond and adjust when the ambient temperature and demand change, ensuring that the indoor environment remains in the optimal state. The intelligent combination of various parameters as an overall energy regulation solution can achieve cooling optimization, so that it can provide the best performance under different environmental conditions and usage requirements.

[0012] Optionally, dividing the room space into a cold domain space and a cold spread space includes:

[0013] Displaying the room space with a three-dimensional structure, and obtaining a plurality of spatial point annotations in the displayed room space;

[0014] Forming a closed spatial enclosure structure through the spatial point marking;

[0015] The inner space of the space enclosing structure is used as the cold space;

[0016] The outer space of the space enclosure structure is used as the cold spreading space.

[0017] Through the above technical solutions, LiDAR and 3D scanning technology can capture the physical characteristics of the room very accurately. By marking key spatial points and defining cold domain spaces, these areas can be accurately identified and managed. Users can directly select and operate on the 3D model, and use intuitive visualization methods to more clearly understand the spatial layout and the distribution of cold domain areas. The drag-and-drop interaction method allows users to easily define and adjust the space. This division can help optimize the room's temperature control plan and improve energy efficiency.

[0018] Optionally, the real-time acquisition of the temperature point cloud of the three-dimensional space of the room by the infrared thermal imaging component includes:

[0019] Gridding the room space;

[0020] Collecting temperature data of each grid in the room space by the infrared thermal imaging component;

[0021] The temperature data is superimposed on the room space to obtain the three-dimensional space temperature point cloud of the room.

[0022] Through the above technical solution, by dividing the room into a three-dimensional grid and assigning spatial coordinates to each unit, it is possible to monitor the temperature changes at specific locations in the room in real time. This fine monitoring helps to identify hot spots or cold spots, thereby enabling more precise temperature control management. By capturing and analyzing temperature data in real time, energy can be allocated according to the temperature requirements of different areas, thereby maximizing energy efficiency and reducing energy consumption. By generating a complete three-dimensional temperature point cloud, visual analysis can be performed.

[0023] Optionally, establishing a temperature field according to the temperature point cloud includes:

[0024] Analyze the temperature point cloud to obtain the change of temperature gradient and temperature uniformity;

[0025] The temperature uniformity is calculated according to the following formula:

[0026]

[0027] Among them, U is the uniformity of temperature; T is the temperature at a point (x, y, z) in the room space; is the average temperature of the room; V is the volume of the room space;

[0028] Determining the flow velocity unit vector of the air in the room space according to the temperature gradient change and the uniformity;

[0029] The air flow velocity unit vector is calculated according to the following formula:

[0030]

[0031] in, is the air flow velocity vector at the point (x, y, z); k is the weight coefficient between the air flow rate and the temperature gradient; is the temperature gradient change;

[0032] Using the air flow velocity as the flow path of the air;

[0033] According to the flow path, the gradient change and the uniformity, a temperature field is established and calculated according to the following formula:

[0034]

[0035] Where T(x,y,z) is the temperature at the point (x,y,z) in the room space; is the average temperature of the room; U is the uniformity of temperature; is the unit vector of air flow velocity at the point (x, y, z); V is the volume of the room space.

[0036] Through the above technical solutions, through numerical calculation and modeling, the data deviation caused by sparse collection can be effectively compensated, and more accurate and reliable temperature field information can be obtained, so that the gaps in the collected data can be filled in the construction of a continuous temperature field, and a complete temperature distribution can be obtained, so as to identify subtle temperature differences and provide the best solution for centralized cooling strategies. Using temperature uniformity, a metric can be provided to evaluate the uniformity of room temperature distribution. By converting point cloud data into a smooth temperature field through numerical analysis methods, the temperature distribution in the entire room can be more accurately predicted. The direction and amplitude of the temperature gradient help to understand the path and intensity of the heat flow. The direction of air flow at different locations can be determined. The above information can be combined to accurately estimate the temperature conditions at different locations in the room, and can provide basic data for dynamically adjusting the indoor temperature control strategy to enhance the user's comfort experience and achieve better energy saving effects.

[0037] Optionally, determining the cooling force dissipation state in different spatial directions in the room according to the temperature field, the cooling domain space and the cooling spread space includes:

[0038] Analyzing the temperature field to determine the temperature parameters at the spatial junction of the cold domain space and the cold spread space;

[0039] Traversing the temperature parameters, determining a temperature crossing position in space where the gradient change is less than a preset gradient threshold;

[0040] The temperature span position is divided into different spatial directions, and the division result is used as the cold force dissipation state.

[0041] Through the above technical solution, the temperature field is analyzed, the temperature distribution characteristics of different areas are determined, and then the intersection area of ​​the cold domain space and the cold spread space is determined. In the intersection area, the position where the gradient change is less than the preset threshold is determined. In layman's terms, the greater the gradient change, the better the restraint state of the cold force here, which means less leakage. The above method ensures that the expansion of the cold domain space in all directions is covered to avoid local overcooling or uneven temperature.

[0042] Optionally, a temperature sensor is installed at the return air outlet of the air conditioner indoor unit; and the step of determining a return air optimization scheme for cooling the return air temperature of the air conditioner according to the temperature field includes:

[0043] Acquiring the return air temperature of the air conditioner through the temperature sensor;

[0044] Determine whether the temperature in the cold space reaches the user-set temperature according to the temperature field;

[0045] If it is not reached, determining the temperature difference between the user set temperature and the temperature in the cold space;

[0046] Determine a rapid cooling and air return plan according to the temperature difference;

[0047] If it is reached, a moderate cooling and return air solution is determined based on the temperature difference.

[0048] Through the above technical solution, by real-time monitoring of the return air temperature, the cold air output can be quickly adjusted in the cold area to avoid excessive cooling and condensation of water vapor in the air and cause water spraying by the air conditioner. By adjusting the air outlet strategy according to the difference between the actual temperature and the target temperature, the indoor temperature is ensured to be closer to the user's expectations. The intelligent switching of fast cooling and mild cooling modes can achieve a comfortable temperature while reducing unnecessary energy consumption.

[0049] Optionally, determining the cooling temperature and airflow organization form of the air conditioner according to the cold domain space, the temperature field and the cooling force dissipation state includes:

[0050] Analyzing the temperature in the cold space according to the temperature field;

[0051] Dynamically adjusting the cooling temperature of the air conditioner according to the temperature distribution state of the temperature field in the cold space;

[0052] Analyze the cooling force dissipation state, and adjust the rotation coverage of the air conditioner fan blades according to the analysis result;

[0053] The adjustment result of the rotation coverage range of the air conditioner fan blades is used as the airflow organization form.

[0054] Through the above technical solutions, by monitoring and analyzing the temperature field and cold space, the air conditioner can effectively identify the temperature state and cold air dissipation state in the cold space of the room, thereby dynamically adjusting the airflow direction and coverage, achieving the suppression of cold force dissipation, reducing the decline in refrigeration efficiency caused by cold air leakage, and maintaining the temperature in the cold space. Through precise control and flexible airflow adjustment, users will not feel uncomfortable due to local overcooling or overheating, and the temperature can be evenly distributed, providing users with a consistent space temperature comfort experience, thereby improving the overall user experience and satisfaction.

[0055] Optionally, analyzing the cooling force dissipation state and adjusting the rotation coverage of the air conditioner fan blades according to the analysis result includes:

[0056] Analyze the cooling force dissipation state, determine the position where the temperature gradient is less than the preset threshold, and calculate according to the following formula:

[0057]

[0058] Among them, (x i ,y i , z i ) is the coordinate of the point satisfying the temperature gradient greater than the preset threshold; (x, y, z) is the coordinate of any point in space; I is the screening condition; is the gradient of the function T(x, y, z) at the point (x, y, z); T(x, y, z) is the temperature distribution function of the temperature field; R is the threshold of the temperature gradient;

[0059] According to the cooling force dissipation state, determining the heat flow direction corresponding to any position in the cooling space;

[0060] According to the cold domain space, the cold force dissipation state and the heat flow direction, the rotation coverage range of the fan blade is determined and calculated according to the following formula:

[0061]

[0062] Wherein, θ is the rotation coverage of the air conditioner fan blade; θ max is the maximum rotation range of the fan blade; β is the adjustment coefficient; is the function corresponding to the dissipation state in the room space The integral of is the function corresponding to the cold force dissipation state of the cold domain space; S is the volume of the cold domain space; is the heat flow direction corresponding to the current position.

[0063] Through the above technical solution, due to the sinking characteristics of cold air, it is difficult to ensure the temperature uniformity and comfort of the entire room by relying solely on a fixed air outlet direction. By adjusting the rotation coverage of the air-conditioning fan blades, the flow path of the cold air can be effectively controlled to ensure that the cold air is concentrated in the area that needs to be cooled, avoid the escape of cold air, and improve the cooling efficiency. Intelligently adjusting the rotation angle of the air-conditioning fan blades can reduce the diffusion of cold air in non-essential areas while quickly cooling down, preventing energy waste. This adjustment helps to improve the utilization rate of cold air, so that while meeting the comfort level, it still maintains low energy consumption. Through precise airflow control, local overcooling or uneven temperature can be avoided, providing a more balanced and comfortable indoor environment. This not only improves the user experience, but also increases user recognition.

[0064] Optionally, the function corresponding to the dissipation state is determined by calculating according to the following formula:

[0065]

[0066] in, is the function corresponding to the cold force dissipation state of the cold domain space; S is the volume of the cold domain space; is the dissipation degree function at any position in the cold domain space; is the heat flow direction corresponding to any position;

[0067] The determination of the dissipation degree function is calculated according to the following formula:

[0068]

[0069] in, is the dissipation degree function at any position in the cold domain space; is the parameter of σ dissipation rate; is the heat flow direction corresponding to any position.

[0070] Through the above technical solution, by calculating the function corresponding to the cold force dissipation state, the areas in the room where cold air is easy to dissipate can be accurately identified. Since the escape of cold air often leads to uneven temperature in the cold space, which in turn affects the cooling effect of the air conditioner, accurate identification of these areas helps to optimize the flow path of cold air, prevent ineffective diffusion of cold air, and improve overall cooling efficiency. The calculation of the cold force dissipation function and the dissipation degree function can reflect the changes in the temperature gradient and heat flow direction in the room in real time. This provides a basis for dynamically adjusting the airflow organization, so that the air conditioner can adjust the fan blade angle and airflow direction according to the real-time room temperature status, thereby achieving more precise temperature control.

[0071] In a second aspect, the present application provides an energy regulation system for an air-conditioning system, the system comprising a space division module, a temperature field generation module, a cold force dissipation evaluation module, a return air optimization module, a refrigeration and airflow optimization module and an energy regulation implementation module.

[0072] A space division module is used to divide the room space into a cold domain space and a cold spread space;

[0073] A temperature field generation module is used to obtain a temperature point cloud of a three-dimensional space of a room in real time through an infrared thermal imaging component; and to establish a temperature field according to the temperature point cloud;

[0074] A cold force dissipation evaluation module, used to determine the cold force dissipation state in different spatial directions in the room according to the temperature field, the cold domain space and the cold spreading space;

[0075] A return air optimization module, used to determine a return air optimization scheme for cooling the return air temperature of the air conditioner according to the temperature field;

[0076] A refrigeration and airflow optimization module, used to determine the refrigeration temperature and airflow organization form of the air conditioner according to the cold domain space, the temperature field and the cold force dissipation state;

[0077] The energy regulation implementation module is used to use the return air optimization plan, the cooling temperature and the air flow organization form as the energy regulation plan of the air conditioning system. BRIEF DESCRIPTION OF THE DRAWINGS

[0078] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0079] Figure 1 A schematic diagram of an application scenario provided for an embodiment of the present application;

[0080] Figure 2 A flow chart of an energy regulation method for an air conditioning system provided in one embodiment of the present application;

[0081] Figure 3 A schematic diagram of the structure of an energy regulation system for an air conditioning system provided in one embodiment of the present application. DETAILED DESCRIPTION

[0082] In order to make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0083] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0084] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0085] In the prior art, the air conditioner has an efficient energy-saving system and an anti-direct blowing system, which also results in the air conditioner being unable to quickly adjust the room temperature during use, especially when the user enters the room and turns on the air conditioner for the first time after exercising, it is difficult to quickly achieve the expected cooling effect; therefore, how to meet the demand for rapid room cooling while maintaining efficient energy saving has become a key issue that needs to be solved urgently.

[0086] Based on this, the present application provides an energy regulation method and system for an air-conditioning system, which divides the room space into a cold domain space and a cold spread space, determines and identifies the areas in the room that require different temperature control, and enables the air conditioner to dynamically adjust the operation mode. The temperature point cloud of the three-dimensional space of the room is acquired in real time through an infrared thermal imaging component; a temperature field is established based on the temperature point cloud; the temperature data in the room is collected and processed to provide a detailed temperature distribution in the room, so that the air conditioner can perform precise cooling according to actual needs, avoid excessive or insufficient cooling, and improve comfort. According to the temperature field, the cold domain space and the cold spread space, the cold force dissipation state in different spatial directions in the room is determined; the cold air efficiency in different directions in the cold domain space is analyzed to identify the cold force dissipation state. According to the temperature field, a return air optimization scheme for cold treatment of the return air temperature of the air conditioner is determined; the optimal return air temperature adjustment scheme is calculated to maximize the use of cold air and reduce energy waste, so as to improve the return air efficiency and avoid air conditioning water spraying caused by air conditioning cooling difference. According to the cold domain space, the temperature field and the cold force dissipation state, the cooling temperature and airflow organization form of the air conditioner are determined; the airflow organization form can be adjusted according to user needs or room layout to maintain the temperature consistency of the space that the user needs to cool and reduce cold force dissipation. Using the return air optimization plan, the cooling temperature and the airflow organization form as the energy regulation plan of the air conditioning system, comprehensively considering the cooling temperature, airflow organization and return air management, the overall performance of the air conditioning system can be comprehensively improved and the system operation cost can be reduced.

[0087] Figure 1A schematic diagram of an application scenario provided by this application. When a user enters a room and turns on the air conditioner for the first time after exercise, it is difficult to quickly achieve the expected cooling effect. When considering how to meet the demand for rapid cooling of the room while maintaining high efficiency and energy saving, the method provided by this application is applied. Specifically, the method provided by this application is applied to any server, and the server interacts with the application terminal and the air conditioner indoor unit. The room space is divided into a cold domain space and a cold spread space on the application terminal, and the areas in the room that require different temperature control are determined and identified, so that the air conditioner can dynamically adjust the operation mode. The temperature point cloud of the three-dimensional space of the room is obtained in real time through the infrared thermal imaging component on the air conditioner indoor unit; a temperature field is established based on the temperature point cloud; the temperature data in the room is collected and processed to provide a detailed temperature distribution in the room, so that the air conditioner can perform precise cooling according to actual needs, avoid excessive or insufficient cooling, and improve comfort. According to the temperature field, the cold domain space and the cold spread space, the cold force dissipation state in different spatial directions in the room is determined; the cold air efficiency in different areas and directions is analyzed to identify problem areas. According to the temperature field, determine the return air optimization scheme for cooling the return air temperature of the air conditioner; calculate the optimal return air temperature adjustment scheme to maximize the use of cold air and reduce energy waste, so as to improve the return air efficiency and avoid air conditioning water spraying caused by air conditioning cooling difference. According to the cold domain space, the temperature field and the cold force dissipation state, determine the cooling temperature and airflow organization form of the air conditioner; the airflow organization form can be adjusted according to user needs or room layout to maintain the temperature consistency of the space that the user needs to cool and reduce cold force dissipation. Using the return air optimization scheme, the cooling temperature and the airflow organization form as the energy regulation scheme of the air conditioning system, and comprehensively considering the cooling temperature, airflow organization and return air management, the overall performance of the air conditioning system can be comprehensively improved and the system operating cost can be reduced.

[0088] For specific implementation methods, please refer to the following embodiments.

[0089] Figure 2 This is a flow chart of an energy regulation method for an air conditioning system provided in an embodiment of the present application. The method of this embodiment can be applied to the server in the above scenario. Applied to the air conditioner indoor unit; the air conditioner indoor unit includes: the air conditioner indoor unit is integrated with a laser radar component and an infrared thermal imaging component. Figure 2 As shown, the method includes:

[0090] S201. Divide the room space into a cold domain space and a cold spread space.

[0091] The room space can be a closed or semi-closed building environment where the air conditioner is installed.

[0092] The cold space can be a specific area in a room that is divided according to user behavior or user initiative and is formed when cold air needs to gather.

[0093] The cold spreading space may be an area where cold air spreads in a room that is not divided into a cold space.

[0094] Specifically, when the user needs to quickly cool down part of the room, the laser radar integrated in the air conditioner can scan and create a three-dimensional model of the room, and then delineate the cold space in the room within the three-dimensional model displayed by the user on the application terminal, and the remaining room area is divided into the cold spread space.

[0095] Generally, users can designate their activity area or rest area as a cold zone space, and they have greater freedom of movement in this space. Compared with the air conditioners in the prior art, if users want to quickly cool down themselves, they can only stay at the air outlet of the air conditioner to get air. The method of the present application allows users to get air at any position covered by the air conditioner. Users can sit on the sofa or lie on the bed, and the comfort during use is greatly increased.

[0096] S202, obtaining a temperature point cloud of the three-dimensional space of the room in real time through an infrared thermal imaging component; and establishing a temperature field according to the temperature point cloud.

[0097] A temperature point cloud can be a data set consisting of multiple temperature measurement points.

[0098] The temperature field can be the overall state and pattern of temperature distribution in the room space, reflecting the temperature differences at different locations and their changing characteristics.

[0099] Specifically, in order to ensure that the temperature of the entire room and the cold space can be controlled and managed at any time during the cooling process, it is necessary to use the infrared thermal imaging components integrated in the air conditioner to cover various areas of the room to ensure that the temperature of each location can be obtained in real time. The infrared component quickly scans the room to generate the current temperature point cloud, processes the collected temperature point cloud data, and generates a three-dimensional temperature field model of the room through a spatial interpolation algorithm.

[0100] After the cold space reaches the set temperature, the air conditioning system begins to gradually reduce the cold air supply to the area, and at the same time turns to the surrounding warmer cold spreading space to achieve uniform cooling of the entire room. This prevents the cold space set by the user from being lower than the set temperature, making the user uncomfortable.

[0101] S203. Determine the cold force dissipation state in different spatial directions in the room according to the temperature field, cold domain space and cold spreading space.

[0102] The cold force dissipation state may be a state in which cold air in the cold domain space gradually dissipates toward the cold spreading space, which may mean that the cooling effect of the cold domain space is weakened and the temperature of the cold domain space needs to be maintained through adjustment.

[0103] Specifically, based on the temperature data in the temperature field, the flow trend of cold air from the high-pressure area to the low-pressure area is analyzed, and the temperature gradient in the cold domain space is determined, that is, the temperature change rate in all directions. Computational fluid dynamics (CFD) is used to simulate the indoor cold air flow, and the flow field vector diagram is analyzed. By analyzing the changes in the temperature field, the main escape direction of the cold air is identified.

[0104] S204: Determine a return air optimization scheme for cooling the return air temperature of the air conditioner according to the temperature field.

[0105] The air conditioning return air temperature may be the temperature of air in the air conditioning system that returns to the air conditioning device through the return air path.

[0106] Cooling can be the process and measures of cooling air in order to achieve and maintain the required ambient temperature.

[0107] The return air optimization solution can be a strategic solution to avoid air conditioning water spray by designing and adjusting the return air temperature in the air conditioning system.

[0108] Specifically, in the cooling process after the air conditioner is turned on, due to the large difference between the return air temperature of the air conditioner and the actual cooling temperature of the air conditioner, it is easy to cause the water vapor in the air to condense, causing the air conditioner to spray water; in the present application, when cooling a specific cold space is given priority, the actual cooling load of the air conditioner is concentrated in this part, which means that there will be a large temperature gradient in this area. Therefore, although the overall room temperature has not reached the set low temperature, the cold space has been significantly cooled. Such local cooling may intensify condensation around the air outlet in a short period of time, because the water content of the air in these cold areas quickly reaches saturation after cooling. Therefore, the air conditioner needs to be adjusted to a reasonable return air temperature according to the temperature of the cold space, and the change in the return air temperature is determined by monitoring the change in the temperature field, and the return air temperature setting is adjusted in real time according to the difference between the actual temperature and the target temperature.

[0109] S205. Determine the cooling temperature and airflow organization form of the air conditioner according to the cold domain space, temperature field and cold force dissipation state.

[0110] The cooling temperature may be the dynamic temperature at which the air conditioning equipment cools.

[0111] The airflow organization form can be the specific form of airflow movement controlled when the air outlet of the air conditioner is dynamically adjusted to suppress the dissipation of cooling force.

[0112] Specifically, after the user has demarcated the cold domain space, it is necessary to give priority to rapid cooling of the cold domain space. During the cooling process, the angle of the air outlet of the air conditioner is adjusted to try to cover the cold domain space with cold air, forming a circulation in a natural sinking manner. Through real-time detection of temperature data of the temperature field and determination of the cold force dissipation state, the refrigeration temperature corresponding to different positions is continuously adjusted to keep the temperature in the cold domain space uniform. The trend of cold force dissipation, such as the direction in which the cold air mainly flows, is used to suppress the dissipation through adjustment of the wind direction, wind speed and temperature of the air outlet of the air conditioner.

[0113] S206. Use the return air optimization plan, cooling temperature and airflow organization form as the energy regulation plan of the air conditioning system.

[0114] Energy regulation solutions can be strategic solutions that comprehensively manage and optimize energy consumption to achieve energy conservation goals.

[0115] Through the method provided by this embodiment, the temperature point cloud of the three-dimensional space of the room is obtained in real time through infrared thermal imaging, and the temperature field is established. This method can accurately monitor the temperature changes in the room. Therefore, the air conditioner operation can be dynamically adjusted according to the actual temperature data, which can ensure that the temperature of each area is more uniform and improve the overall comfort. After the room space is divided into the cold domain space and the cold spread space, the distribution of cold air can be managed more effectively, so that the cold domain space can reach the required comfortable temperature more quickly. By suppressing the cold force dissipation state, unnecessary cold loss can be reduced and the refrigeration efficiency can be improved. The temperature field data and the state of the cold domain space and the cold spread space are used to reduce the energy consumption of the air conditioning equipment, that is, the refrigeration temperature and airflow organization form of the air conditioner are adaptively adjusted to achieve the most reasonable energy use and achieve the energy saving goal. The return air temperature is processed according to the return air optimization scheme to avoid water spraying of the air conditioner during the refrigeration process. By optimizing the airflow organization form, the indoor air circulation is more reasonable, avoiding local discomfort caused by improper airflow, which not only helps to improve the comfort, but also reduces the loss of cold and warm air caused by uneven temperature. Since the temperature point cloud data can be acquired and analyzed in real time, the system can quickly respond and adjust when the ambient temperature and demand change, ensuring that the indoor environment remains in the optimal state. The intelligent combination of various parameters as an overall energy regulation solution can achieve cooling optimization, so that it can provide the best performance under different environmental conditions and usage requirements.

[0116] In some embodiments, a room space with a three-dimensional structure is displayed, and several spatial point annotations in the displayed room space are obtained; a closed spatial enclosure structure is formed through the spatial point annotations; the internal space of the spatial enclosure structure is used as a cold domain space; and the external space of the spatial enclosure structure is used as a cold spread space.

[0117] The spatial point annotation can be a specific physical location in the room space (which can include coordinate information).

[0118] The spatial enclosing structure can be an enclosing area automatically generated according to the spatial point annotation.

[0119] Specifically, laser radar components and three-dimensional scanning technology are used to collect the geometric data of the room to create a three-dimensional model of the room. In the three-dimensional room model, several key spatial points are selected for annotation, and the annotated spatial points are drawn into a closed geometric shape. The interior of the closed enclosing structure is defined as the cold domain space, and the space outside the enclosing structure is defined as the cold spread space.

[0120] For example, the user can select several points in the three-dimensional model of the room displayed on the mobile terminal to create a three-dimensional cubic space, such as: selecting the four corners of the bed as the ground, the application will first generate a surface, and then create a drag point on the surface, and then the user can drag the point upwards, so that the coverage area and height of the cold domain space can be formed; or the application terminal first displays a top view of the three-dimensional model of the room, and asks the customer to draw a rectangle through two points in the picture. The rectangle serves as the coverage area of ​​the cold domain space, and then switches to the three-dimensional perspective of the three-dimensional model, determines the first height of the surface through the drag points on the surface, and then drags again to determine the second height of the surface, so as to obtain the coverage height of the cold domain space.

[0121] Through the method provided in this embodiment, lidar and three-dimensional scanning technology can capture the physical characteristics of the room very accurately. By marking key spatial points and defining cold domain spaces, these areas can be accurately identified and managed. Users can directly select and operate on the three-dimensional model, and use intuitive visualization methods to more clearly understand the spatial layout and the distribution of cold domain areas. The drag-and-drop interaction method enables users to easily define and adjust the space. This division can help optimize the temperature control plan of the room and improve energy efficiency.

[0122] In some embodiments, the room space is divided into grids; the temperature data of each grid in the room space is collected by an infrared thermal imaging component; the temperature data is superimposed on the room space to obtain a three-dimensional temperature point cloud of the room.

[0123] Meshing can be the operation of dividing a room space into multiple small, regular cells.

[0124] The temperature data may be temperature information representing a point in a room space obtained by an infrared thermal imaging component.

[0125] Overlay can be an operation that combines temperature data and grid location information, such as geometric overlay or layer overlay.

[0126] Specifically, according to the size and shape of the room, the entire room is divided into multiple three-dimensional grid units, and precise spatial coordinates are assigned to each grid unit. The infrared thermal imaging component integrated in the air-conditioning unit captures the temperature of each grid unit in real time. Before the air-conditioning is turned on, the initial temperature distribution of each area in the current room is collected to provide a benchmark for dynamic temperature changes. The temperature data is noise filtered, and data deviations that may be caused by the device's perspective or obstacles are corrected to ensure data accuracy. The filtered and corrected temperature data is superimposed on the previous grid position information to generate a complete three-dimensional temperature point cloud.

[0127] Through the method provided by this embodiment, by dividing the room into a three-dimensional grid and assigning spatial coordinates to each unit, the temperature changes at specific locations in the room can be monitored in real time. This fine monitoring helps to identify hot spots or cold spots, thereby performing more accurate temperature control management. By capturing and analyzing temperature data in real time, energy can be allocated according to the temperature requirements of different areas, thereby maximizing energy efficiency and reducing energy consumption. By generating a complete three-dimensional temperature point cloud, visual analysis can be performed.

[0128] In some embodiments, the temperature point cloud is analyzed to obtain the change of temperature gradient and the uniformity of temperature;

[0129] The temperature uniformity is calculated according to the following formula (1):

[0130]

[0131] Among them, U is the uniformity of temperature; T is the temperature at a point (x, y, z) in the room space; is the average temperature of the room; V is the volume of the room space;

[0132] According to the temperature gradient change and uniformity, determine the unit vector of air flow velocity in the room space;

[0133] The air flow velocity unit vector is calculated according to the following formula (2):

[0134]

[0135] in, is the air flow velocity vector at the point (x, y, z); k is the weight coefficient between the air flow rate and the temperature gradient; is the temperature gradient change;

[0136] The air velocity is taken as the flow path of the air;

[0137] According to the flow path, gradient change and uniformity, the temperature field is established and calculated according to the following formula (3):

[0138]

[0139] Where T(x,y,z) is the temperature at the point (x,y,z) in the room space; is the average temperature of the room; U is the uniformity of temperature; is the unit vector of air flow velocity at the point (x, y, z); V is the volume of the room space.

[0140] Temperature gradient can be the state of temperature change in space, usually expressed as temperature change per unit length. Temperature gradient can indicate the trend of temperature change in direction.

[0141] Temperature uniformity refers to how evenly the temperature is distributed within a room.

[0142] The air velocity unit vector can be used to describe the direction of air flow.

[0143] The flow path of air may be the actual route or trajectory of the air flow.

[0144] Specifically, the purpose of the user demarcating the cold domain space is to centrally cool the space. However, due to the cost of air conditioning, the efficiency of temperature collection and space collection, and the collection accuracy, the collection of temperature point clouds in the room space is relatively sparse, and the data deviation is large. It is necessary to calculate the continuous and available temperature field through data calculation, so as to calculate the temperature gradient in each direction based on the temperature field. The direction and amplitude of the temperature gradient can indicate the path and intensity of the heat flow, so as to find the area in the cold domain space that is uneven and needs centralized cooling. The temperature uniformity is calculated by formula (1) to evaluate the temperature distribution of the entire room. Using numerical analysis methods, such as the finite element method, the point cloud data is converted into a smooth three-dimensional temperature field. For each grid unit, the temperature gradient of each spatial point is calculated by numerical methods to represent the direction and rate of temperature change. The unit vector of the air flow direction can be obtained by formula (2). Formula (3) can accurately estimate the temperature conditions at different locations in the room, so that the application of temperature data is continuous.

[0145] Through the method provided in this embodiment, through numerical calculation and modeling, the data deviation caused by sparse collection can be effectively compensated, and more accurate and reliable temperature field information can be obtained, so that the gaps in the collected data can be filled in the construction of a continuous temperature field, and a complete temperature distribution can be obtained, thereby identifying subtle temperature differences and providing the best solution for centralized cooling strategies. Using temperature uniformity, a metric can be provided to evaluate the uniformity of room temperature distribution. By converting point cloud data into a smooth temperature field through numerical analysis methods, the temperature distribution in the entire room can be more accurately predicted. The direction and amplitude of the temperature gradient help to understand the path and intensity of the heat flow. The direction of air flow at different locations can be determined. Combining the above information can accurately estimate the temperature conditions at different locations in the room, and can provide basic data for dynamically adjusting the indoor temperature control strategy, so as to enhance the user's comfort experience and achieve better energy-saving effects.

[0146] In some embodiments, the temperature field is analyzed to determine the temperature parameters at the spatial intersection of the cold domain space and the cold spread space; the temperature parameters are traversed to determine the temperature crossing position in the space where the gradient change is less than a preset gradient threshold; the temperature crossing position is divided according to different spatial directions, and the division result is used as the cold force dissipation state.

[0147] The temperature parameter at the space junction can be the temperature change at the junction of the cold domain space and the cold spread space in the room.

[0148] The preset gradient threshold may be a maximum allowable gradient of temperature change in different spaces or during air flow, and the gradient threshold may be stored in a preset database.

[0149] The temperature span location can be an area in the room where the temperature difference is not obvious.

[0150] Specifically, in the process of cooling the cold domain space, since it is a centralized cooling of a local area, in order to better make the cold domain space reach a comfortable temperature and uniform temperature, and reduce the coldness of non-essential space in the process, but due to the air circulation and the convection state of cold and heat, it is difficult for cold air to remain in a fixed position. Therefore, in the implementation method of this application, it is also necessary to divide the cold force dissipation state in advance to provide contact for the refrigeration regulation of the air conditioner. Therefore, a mathematical model or CFD (computational fluid dynamics) simulation and analysis of the temperature field can be used to determine the temperature distribution state of different regions, determine the intersection area of ​​the cold domain space and the cold spread space, and extract the temperature parameters through the boundary conditions. Determine the positions where the gradient change is greater than the preset threshold when the boundary conditions are met. These positions are called temperature crossing positions, and these temperature crossing positions are divided according to the spatial direction (such as east, west, south, north, up and down, or X, Y, Z directions). Based on the division results, the dissipation state of cold force in different directions is analyzed.

[0151] It should be noted that under normal circumstances, the span position has a maximum of four directions. Taking the indoor hanging unit as an example, the surface with the same wind direction as the air outlet of the air conditioner cannot be calculated for span because it is in the same direction as the wind force.

[0152] Through the method provided by this embodiment, the temperature field is analyzed to determine the temperature distribution characteristics of different regions, and then the intersection area of ​​the cold domain space and the cold spread space is determined. In the intersection area, the position where the gradient change is less than the preset threshold is determined. In layman's terms, the greater the gradient change, the better the restraint state of the cold force here, which means less leakage. Through the above method, it is ensured that the expansion of the cold domain space in all directions is covered to avoid local overcooling or uneven temperature.

[0153] In some embodiments, the return air temperature of the air conditioner is obtained through a temperature sensor; whether the temperature in the cold domain space reaches the user-set temperature is determined based on the temperature field; if not, the temperature difference between the user-set temperature and the temperature in the cold domain space is determined; based on the temperature difference, a rapid cooling return air plan is determined; if reached, a moderate cooling return air plan is determined based on the temperature difference.

[0154] A temperature sensor is installed at the return air outlet of the air conditioner indoor unit.

[0155] The return air temperature can be the temperature of the air that flows back into the air conditioning unit through the air circulation.

[0156] The user set temperature may be a target temperature set by a user on an air conditioner remote controller or a user terminal.

[0157] The temperature difference may be the difference between the current return air temperature and the user set temperature.

[0158] The rapid cooling and return air solution can be an accelerated cooling strategy adopted by the air conditioner when it detects that the indoor temperature is much higher than the set temperature, such as increasing the operating speed of the compressor, increasing the refrigerant flow rate, and increasing the fan speed.

[0159] The mitigation cooling return air solution can be a strategy adopted when the indoor temperature is close to the user's set temperature, such as entering energy-saving mode and reducing the operating speed of the compressor and fan.

[0160] Specifically, local cooling may intensify condensation around the air outlet in a short period of time, because the water content of the air in these cold areas quickly reaches saturation after cooling, causing the water vapor in the air to condense and cause the air conditioner to spray water. Therefore, a temperature sensor is installed at the return air outlet of the air conditioner to monitor the return air temperature in the air conditioning cycle in real time. By comparing the set temperature target with the current actual temperature of the cold area, it is determined whether the user-set temperature is reached. According to the difference between the actual temperature of the cold space and the target temperature set by the user, the temperature difference is calculated. If the temperature of the cold space does not reach the target, the temperature difference is used to guide the adjustment strategy of the cold air output in the rapid cooling solution, such as increasing the refrigerant flow and fan speed to quickly reduce the temperature of the cold space. If the temperature of the cold space reaches the target, a moderate cooling solution is adopted, such as the air conditioner entering energy-saving mode to reduce the wind speed and power output.

[0161] Through the method provided in this embodiment, by real-time monitoring of the return air temperature, the cold air output can be quickly adjusted in the cold area to avoid excessive cooling and condensation of water vapor in the air and cause water spraying by the air conditioner. By adjusting the air outlet strategy according to the difference between the actual temperature and the target temperature, the indoor temperature can be ensured to be closer to the user's expectations. By adopting intelligent switching between rapid cooling and mild cooling modes, unnecessary energy consumption can be reduced while achieving a comfortable temperature.

[0162] In some embodiments, the temperature in the cold domain space is analyzed based on the temperature field; the cooling temperature of the air conditioner is dynamically adjusted based on the temperature distribution state of the temperature field in the cold domain space; the cold force dissipation state is analyzed, and based on the analysis results, the rotation coverage range of the air conditioner fan blades is adjusted; the adjustment result of the rotation coverage range of the air conditioner fan blades is used as the airflow organization form.

[0163] The temperature distribution state may be the distribution of temperature values ​​at different locations in the cold domain space.

[0164] The rotation coverage range can be the range that the rotatable part of the air outlet of the air conditioner can cover when working. The airflow path can be dynamically adjusted by changing the outlet airflow direction of the air conditioner.

[0165] Specifically, in order to centrally cool the cold domain space, after the cold domain space is divided, due to the air circulation and the convection of hot and cold, it is difficult for the cold air to remain in a fixed position. Therefore, the rotation angle and coverage range of the air-conditioning fan blades are used to suppress the escape of cold air. Therefore, at the moment the user turns on the air conditioner, the temperature field in the cold domain space is monitored, and the temperature distribution state in the entire cold domain space is determined by analysis. Based on the analyzed temperature state, the cooling temperature is dynamically adjusted. In the initial stage, the cooling capacity is usually increased to quickly reduce the temperature of the cold domain space, and then it is gradually adjusted back to the energy-saving mode. During the rapid cooling process, the system monitors the cold force dissipation state in the room, checks whether there is a concentrated or dispersed cold air flow leakage in the cold domain space, and dynamically adjusts the rotation angle of the air-conditioning fan blades according to the analysis results of the cold force dissipation to determine the coverage range.

[0166] Through the method provided by this embodiment, by monitoring and analyzing the temperature field and the cold space, the air conditioner can effectively identify the temperature state and cold air dissipation state in the cold space of the room, thereby dynamically adjusting the airflow direction and coverage, achieving the suppression of cold force dissipation, reducing the decline in refrigeration efficiency caused by cold air leakage, and maintaining the temperature in the cold space. Through precise control and flexible airflow adjustment, users will not feel uncomfortable due to local overcooling or overheating, achieving uniform temperature distribution, providing users with a consistent space temperature comfort experience, thereby improving the overall user experience and satisfaction.

[0167] In some embodiments, the cooling force dissipation state is analyzed to determine the position where the temperature gradient is less than a preset threshold, and the calculation is performed according to the following formula (4):

[0168]

[0169] Among them, (x i ,y i , z i ) is the coordinate of the point satisfying the temperature gradient greater than the preset threshold; (x, y, z) is the coordinate of any point in space; I is the screening condition; is the gradient of the function T(x, y, z) at the point (x, y, z); T(x, y, z) is the temperature distribution function of the temperature field; R is the threshold of the temperature gradient;

[0170] According to the cooling force dissipation state, determine the heat flow direction corresponding to any position in the cooling space;

[0171] According to the cold space, cold force dissipation state and heat flow direction, the rotation coverage of the fan blade is determined and calculated according to the following formula (5):

[0172]

[0173] Wherein, θ is the rotation coverage of the air conditioner fan blade; θmax is the maximum rotation range of the fan blade; β is the adjustment coefficient; is the function corresponding to the dissipation state in the room space The integral of is the function corresponding to the cold force dissipation state of the cold domain space; S is the volume of the cold domain space; is the heat flow direction corresponding to the current position.

[0174] The preset threshold can be a key parameter for screening temperature gradients in temperature field analysis, defining the maximum allowable gradient of temperature change in different spaces or during air flow. When the temperature gradient is less than the threshold, it is considered that the cold force dissipation in the area is large, that is, the cold air is easy to dissipate, which can be stored in the preset database.

[0175] Heat flow direction can be the path of heat flow from high temperature areas to low temperature areas in a room.

[0176] Specifically, due to the temperature difference between the cold space and the cold spreading space in the room, cold air easily escapes along the temperature gradient, resulting in the phenomenon of cold force dissipation, making it difficult to keep the temperature of the cold space within a comfortable range. By real-time monitoring of the temperature gradient and adjusting the rotation angle of the air conditioner fan blades, the escape of cold air can be suppressed, and the cooling efficiency and temperature uniformity of the cold space can be improved. Therefore, according to formula (4), the heat flow direction in the room is analyzed, and the area with small temperature change between the cold space and the cold spreading space, that is, the area with small temperature gradient, is identified. The cold force dissipation state of each point in the cold space is determined, and the main path of cold air flow is obtained. According to the cold force dissipation state and heat flow direction, the rotation coverage range of the air conditioner fan blades is calculated by formula (5), and the optimal airflow organization form in different spatial directions is determined. According to the calculation results, the coverage range of the fan blade rotation angle is adjusted to maximize the suppression of cold air escape and improve the cooling effect of the cold space.

[0177] Through the method provided by this embodiment, due to the sinking characteristics of cold air, it is difficult to ensure the temperature uniformity and comfort of the entire room by relying solely on a fixed air outlet direction. By adjusting the rotation coverage of the air-conditioning fan blades, the flow path of the cold air can be effectively controlled to ensure that the cold air is concentrated in the area that needs to be cooled, avoid the escape of cold air, and improve the refrigeration efficiency. Intelligently adjusting the rotation angle of the air-conditioning fan blades can reduce the diffusion of cold air in non-essential areas while quickly cooling down, preventing energy waste. This adjustment helps to improve the utilization rate of cold air, so that while meeting the comfort level, it still maintains low energy consumption. Through precise airflow control, local overcooling or uneven temperature can be avoided, providing a more balanced and comfortable indoor environment. This not only improves the user experience, but also increases user recognition.

[0178] In some embodiments, the function corresponding to the dissipation state is determined according to the following formula (6):

[0179]

[0180] in, is the function corresponding to the cold force dissipation state of the cold domain space; S is the volume of the cold domain space; is the dissipation degree function at any position in the cold domain space; is the heat flow direction corresponding to any position;

[0181] The dissipation degree function is determined by calculating according to the following formula (7):

[0182]

[0183] in, is the dissipation degree function at any position in the cold domain space; is the parameter of σ dissipation rate; is the heat flow direction corresponding to any position.

[0184] Specifically, according to formula (6), the heat flow direction in the room is calculated and analyzed, and the flow path of cold air in the space is determined, which can accurately identify the areas in the room where cold air is likely to escape. According to formula (7), a basis for dynamically adjusting the airflow organization is provided, which reflects the changes in the temperature gradient and heat flow direction in the room in real time.

[0185] Through the method provided by this embodiment, by calculating the function corresponding to the cold force dissipation state, the areas in the room where cold air is easy to dissipate can be accurately identified. Since cold air dissipation often leads to uneven temperature in the cold space, which in turn affects the cooling effect of the air conditioner, accurate identification of these areas helps to optimize the cold air flow path, prevent ineffective diffusion of cold air, and improve overall cooling efficiency. The calculation of the cold force dissipation function and the dissipation degree function can reflect the changes in the temperature gradient and heat flow direction in the room in real time. This provides a basis for dynamically adjusting the airflow organization, so that the air conditioner can adjust the fan blade angle and airflow direction according to the real-time room temperature state, thereby achieving more precise temperature control.

[0186] Figure 3 A schematic diagram of the structure of an energy regulation system for an air conditioning system provided in one embodiment of the present application is shown in FIG. Figure 3 As shown, the energy regulation system 300 for the air conditioning system of this embodiment includes: a space division module 301, a temperature field generation module 302, a cold force dissipation evaluation module 303, a return air optimization module 304, a refrigeration and airflow optimization module 305 and an energy regulation implementation module 306.

[0187] A space division module 301 is used to divide the room space into a cold domain space and a cold spread space;

[0188] The temperature field generation module 302 is used to obtain the temperature point cloud of the three-dimensional space of the room in real time through the infrared thermal imaging component; and establish the temperature field according to the temperature point cloud;

[0189] A cold force dissipation evaluation module 303 is used to determine the cold force dissipation state in different spatial directions in the room according to the temperature field, the cold domain space and the cold spreading space;

[0190] A return air optimization module 304, for determining a return air optimization scheme for cooling the return air temperature of the air conditioner according to the temperature field;

[0191] A cooling and airflow optimization module 305 is used to determine the cooling temperature and airflow organization form of the air conditioner according to the cooling space, the temperature field and the cooling force dissipation state;

[0192] Energy regulation implementation module 306, used to use the return air optimization scheme, the cooling temperature and the airflow organization form as the energy regulation scheme of the air conditioning system

[0193] Optionally, the space division module 301 is specifically used to: divide the room space into a cold domain space and a cold spread space, including:

[0194] Displaying the room space with a three-dimensional structure, and obtaining a plurality of spatial point annotations in the displayed room space;

[0195] Forming a closed spatial enclosure structure through the spatial point marking;

[0196] The inner space of the space enclosing structure is used as the cold space;

[0197] The outer space of the space enclosure structure is used as the cold spreading space.

[0198] Optionally, the temperature field generating module 302 is specifically used to: obtain the temperature point cloud of the three-dimensional space of the room in real time through the infrared thermal imaging component, including:

[0199] Gridding the room space;

[0200] Collecting temperature data of each grid in the room space by the infrared thermal imaging component;

[0201] The temperature data is superimposed on the room space to obtain the three-dimensional space temperature point cloud of the room.

[0202] Optionally, the temperature field generating module 302 is specifically configured to: establish the temperature field according to the temperature point cloud, including:

[0203] Analyze the temperature point cloud to obtain the change of temperature gradient and temperature uniformity;

[0204] The temperature uniformity is calculated according to the following formula:

[0205]

[0206] Among them, U is the uniformity of temperature; T is the temperature at a point (x, y, z) in the room space; is the average temperature of the room; V is the volume of the room space;

[0207] Determining the flow velocity unit vector of the air in the room space according to the temperature gradient change and the uniformity;

[0208] The air flow velocity unit vector is calculated according to the following formula:

[0209]

[0210] in, is the air flow velocity vector at the point (x, y, z); k is the weight coefficient between the air flow rate and the temperature gradient; is the temperature gradient change;

[0211] Using the air flow velocity as the flow path of the air;

[0212] According to the flow path, the gradient change and the uniformity, a temperature field is established and calculated according to the following formula:

[0213]

[0214] Where T(x,y,z) is the temperature at the point (x,y,z) in the room space; is the average temperature of the room; U is the uniformity of temperature; is the unit vector of air flow velocity at the point (x, y, z); V is the volume of the room space.

[0215] Optionally, the cooling force dissipation evaluation module 303 is specifically used to: determine the cooling force dissipation state in different spatial directions in the room according to the temperature field, the cooling domain space and the cooling spread space, including:

[0216] Analyzing the temperature field to determine the temperature parameters at the spatial junction of the cold domain space and the cold spread space;

[0217] Traversing the temperature parameters, determining a temperature crossing position in space where the gradient change is less than a preset gradient threshold;

[0218] The temperature span position is divided into different spatial directions, and the division result is used as the cold force dissipation state.

[0219] Optionally, the return air optimization module 304 is specifically used for: a temperature sensor is installed at the return air outlet of the air conditioner indoor unit; and the return air optimization scheme for cooling the return air temperature of the air conditioner is determined according to the temperature field, including:

[0220] Acquiring the return air temperature of the air conditioner through the temperature sensor;

[0221] Determine whether the temperature in the cold space reaches the user-set temperature according to the temperature field;

[0222] If it is not reached, determining the temperature difference between the user set temperature and the temperature in the cold space;

[0223] Determine a rapid cooling and air return plan according to the temperature difference;

[0224] If it is reached, a moderate cooling and return air solution is determined based on the temperature difference.

[0225] Optionally, the refrigeration and airflow optimization module 305 is specifically used to: determine the refrigeration temperature and airflow organization form of the air conditioner according to the cold domain space, the temperature field and the cold force dissipation state, including:

[0226] Analyzing the temperature in the cold space according to the temperature field;

[0227] Dynamically adjusting the cooling temperature of the air conditioner according to the temperature distribution state of the temperature field in the cold space;

[0228] Analyze the cooling force dissipation state, and adjust the rotation coverage of the air conditioner fan blades according to the analysis result;

[0229] The adjustment result of the rotation coverage range of the air conditioner fan blades is used as the airflow organization form.

[0230] Optionally, the refrigeration and airflow optimization module 305 is specifically used to: analyze the cooling force dissipation state, and adjust the rotation coverage of the air conditioner fan blades according to the analysis result, including:

[0231] Analyze the cooling force dissipation state, determine the position where the temperature gradient is less than the preset threshold, and calculate according to the following formula:

[0232]

[0233] Among them, (x i ,y i , z i) is the coordinate of the point satisfying the temperature gradient greater than the preset threshold; (x, y, z) is the coordinate of any point in space; I is the screening condition; is the gradient of the function T(x, y, z) at the point (x, y, z); T(x, y, z) is the temperature distribution function of the temperature field; R is the threshold of the temperature gradient;

[0234] According to the cooling force dissipation state, determining the heat flow direction corresponding to any position in the cooling space;

[0235] According to the cold domain space, the cold force dissipation state and the heat flow direction, the rotation coverage range of the fan blade is determined and calculated according to the following formula:

[0236]

[0237] Wherein, θ is the rotation coverage of the air conditioner fan blade; θ max is the maximum rotation range of the fan blade; β is the adjustment coefficient; is the function corresponding to the dissipation state in the room space The integral of is the function corresponding to the cold force dissipation state of the cold domain space; S is the volume of the cold domain space; is the heat flow direction corresponding to the current position.

[0238] Optionally, the refrigeration and airflow optimization module 305 is specifically used to determine the function corresponding to the dissipation state according to the following formula:

[0239]

[0240] in, is the function corresponding to the cold force dissipation state of the cold domain space; S is the volume of the cold domain space; is the dissipation degree function at any position in the cold domain space; is the heat flow direction corresponding to any position;

[0241] The determination of the dissipation degree function is calculated according to the following formula:

[0242]

[0243] in, is the dissipation degree function at any position in the cold domain space; is the parameter of σ dissipation rate; is the heat flow direction corresponding to any position.

[0244] The system of this embodiment can be used to execute the method of any of the above embodiments. The implementation principles and technical effects are similar and will not be described in detail here.

Claims

1. An energy regulation method for an air conditioning system, characterized in that: Applied to indoor unit of air conditioner; The air conditioner indoor unit comprises: a laser radar component and an infrared thermal imaging component are integrated on the air conditioner indoor unit; the method comprises: Divide the room space into cold domain space and cold spread space; Acquire the temperature point cloud of the three-dimensional space of the room in real time through the infrared thermal imaging component; establish the temperature field according to the temperature point cloud; Determining the cold force dissipation state in different spatial directions in the room according to the temperature field, the cold domain space and the cold spreading space; Determine a return air optimization scheme for cooling the return air temperature of the air conditioner according to the temperature field; Determining the cooling temperature and airflow organization form of the air conditioner according to the cold domain space, the temperature field and the cold force dissipation state; Using the return air optimization scheme, the cooling temperature and the airflow organization form as an energy regulation scheme for the air conditioning system; The dividing the room space into a cold domain space and a cold spread space comprises: Displaying the room space with a three-dimensional structure, and obtaining a plurality of spatial point annotations in the displayed room space; Forming a closed spatial enclosure structure through the spatial point marking; The inner space of the space enclosing structure is used as the cold space; Using the outer space of the space enclosing structure as the cold spreading space; The step of determining the cooling force dissipation state in different spatial directions in the room according to the temperature field, the cooling domain space and the cooling spread space includes: Analyzing the temperature field to determine the temperature parameters at the spatial junction of the cold domain space and the cold spread space; Traversing the temperature parameters, determining a temperature crossing position in space where the gradient change is less than a preset gradient threshold; Dividing the temperature span position according to different spatial directions, and using the division result as the cold force dissipation state; A temperature sensor is installed at the return air outlet of the air conditioner indoor unit; and the return air optimization scheme for cooling the return air temperature of the air conditioner is determined according to the temperature field, including: Acquiring the return air temperature of the air conditioner through the temperature sensor; Determine whether the temperature in the cold space reaches the user-set temperature according to the temperature field; If it is not reached, determining the temperature difference between the user set temperature and the temperature in the cold space; Determine a rapid cooling and air return plan according to the temperature difference; If it is reached, a moderate cooling and return air solution is determined according to the temperature difference; Determining the cooling temperature and airflow organization form of the air conditioner according to the cold domain space, the temperature field and the cold force dissipation state includes: Analyzing the temperature in the cold space according to the temperature field; Dynamically adjusting the cooling temperature of the air conditioner according to the temperature distribution state of the temperature field in the cold space; Analyze the cooling force dissipation state, and adjust the rotation coverage of the air conditioner fan blades according to the analysis result; The adjustment result of the rotation coverage range of the air conditioner fan blades is used as the airflow organization form.

2. The method according to claim 1, characterized in that The method of obtaining the temperature point cloud of the three-dimensional space of the room in real time by using the infrared thermal imaging component includes: Gridding the room space; Collecting temperature data of each grid in the room space by the infrared thermal imaging component; The temperature data is superimposed on the room space to obtain the three-dimensional space temperature point cloud of the room.

3. The method according to claim 1, characterized in that: The step of establishing a temperature field according to the temperature point cloud comprises: Analyze the temperature point cloud to obtain the change of temperature gradient and temperature uniformity; The temperature uniformity is calculated according to the following formula: ;in, is the uniformity of temperature; is a point in the room space The temperature at is the average temperature of the room; is the volume of the room space; according to the temperature gradient change and the uniformity, the unit vector of the air flow velocity in the room space is determined; The air flow velocity unit vector is calculated according to the following formula: ;in, For point The air flow velocity vector at ; is the weight coefficient between the air flow rate and the temperature gradient; is the temperature gradient change; Using the air flow velocity as the flow path of the air; According to the flow path, the gradient change and the uniformity, a temperature field is established and calculated according to the following formula: ;in, is a point in the room space The temperature at is the average temperature of the room; for the uniformity of temperature; For point The unit vector of air flow velocity at ; is the volume of the room space.

4. The method according to claim 1, characterized in that The analyzing the cooling force dissipation state and adjusting the rotation coverage of the air conditioner fan blades according to the analysis result includes: Analyze the cooling force dissipation state, determine the position where the temperature gradient is less than the preset threshold, and calculate according to the following formula: ； in, The coordinates of the points where the temperature gradient is greater than a preset threshold; is the coordinate of any point in space; is the screening condition; For function At the point The gradient at is the temperature distribution function of the temperature field; is the threshold of the temperature gradient; according to the cooling force dissipation state, the heat flow direction corresponding to any position in the cold domain space is determined; According to the cold domain space, the cold force dissipation state and the heat flow direction, the rotation coverage range of the fan blade is determined and calculated according to the following formula: ;in, The rotation coverage of the air conditioner fan blades; is the maximum rotation range of the fan blades; is the adjustment factor; is the function corresponding to the dissipation state in the room space The integral of is the function corresponding to the cold force dissipation state of the cold domain space; is the volume of the cold domain space; is the heat flow direction corresponding to the current position.

5. The method according to claim 4, characterized in that The function corresponding to the dissipation state is determined by calculating according to the following formula: ;in, is the function corresponding to the cold force dissipation state of the cold domain space; is the volume of the cold domain space; is the dissipation degree function at any position in the cold domain space; is the heat flow direction corresponding to any position; The determination of the dissipation degree function is calculated according to the following formula: ； in, is the dissipation degree function at any position in the cold domain space; Parameters of dissipation rate; is the heat flow direction corresponding to any position.

6. An energy regulation system for an air conditioning system, characterized in that: The method as claimed in any one of claims 1 to 5 comprises: A space division module is used to divide the room space into a cold domain space and a cold spread space; A temperature field generation module is used to obtain a temperature point cloud of a three-dimensional space of a room in real time through an infrared thermal imaging component; and to establish a temperature field according to the temperature point cloud; A cold force dissipation evaluation module, used to determine the cold force dissipation state in different spatial directions in the room according to the temperature field, the cold domain space and the cold spreading space; A return air optimization module, used to determine a return air optimization scheme for cooling the return air temperature of the air conditioner according to the temperature field; A refrigeration and airflow optimization module, used to determine the refrigeration temperature and airflow organization form of the air conditioner according to the cold domain space, the temperature field and the cold force dissipation state; The energy regulation implementation module is used to use the return air optimization plan, the cooling temperature and the air flow organization form as the energy regulation plan of the air conditioning system.

Images