Air conditioning method, device, apparatus, and storage medium

Abstract

The present application relates to the field of air conditioning technology, and more particularly to an air conditioning method, device, equipment and storage medium, the present application obtains air conditioning equipment and air dimension data in the whole house area, so as to generate device nodes representing air conditioning equipment and air nodes representing air dimension data in the bipartite graph, and generate relationship edges between the device nodes and the air nodes based on the historical operation data of each device in the whole house area, so as to obtain the whole house air conditioning bipartite graph in the whole house area, and then when receiving a target regulation demand, the corresponding air conditioning equipment and the operation parameters of each device of the target regulation demand can be determined based on the nodes and relationship edges in the whole house air conditioning bipartite graph, the precise control of the air conditioning equipment in the whole house area is realized, the air conditioning efficiency is improved, and the technical problem of low efficiency of the whole house air conditioner in the prior art is avoided.

Description

Technical Field

[0001] This invention relates to the field of air conditioning technology, and more particularly to an air conditioning method, apparatus, device, and storage medium. Background Technology

[0002] Traditional whole-house air conditioning systems typically regulate the air throughout the house by using individual devices as the basic unit. In other words, the granularity of the air conditioning process is based on each device. In this process, some devices cover a larger area, and some devices have stronger heating or cooling capabilities. However, it is difficult to fully utilize the capabilities of each device during use, resulting in low efficiency in regulating the air throughout the house.

[0003] The above content is only used to help understand the technical solution of the present invention and does not represent an admission that the above content is prior art. Summary of the Invention

[0004] The main objective of this invention is to provide an air conditioning method, apparatus, device, and storage medium, aiming to solve the technical problem of low efficiency in air conditioning of whole-house air conditioners in the prior art.

[0005] To achieve the above objectives, the present invention provides an air conditioning method, the method comprising the following steps: Receive target adjustment requests for air nodes; Based on the whole-house air conditioning bipartite diagram, determine the air conditioning equipment to be operated and the operating parameters to meet the target air conditioning requirements; The air conditioning equipment is controlled to operate according to the specified operating parameters.

[0006] Optionally, before receiving the target adjustment request for the air node, the method further includes: Acquire air conditioning equipment, air dimension data, and historical operating data of each device throughout the entire house area; Generate a device node representing the air conditioning device and an air node representing the air dimension data based on the air conditioning device and the air dimension data; Based on the historical operating data, the relationship edges between the device nodes and the air nodes are generated to obtain a bipartite graph of the whole-house air conditioning system.

[0007] Optionally, the step of generating the relationship edge between the device node and the air node based on the historical operating data includes: Based on the historical operating data, identify the target air conditioning equipment that can meet the air requirements of the air nodes; Establish the relationship edges between the air nodes and the device nodes representing the target air conditioning equipment; Based on the air demand, determine the attributes of the relation edge; The weights of the relation edges are determined based on the historical operating data of the target air conditioning equipment.

[0008] Optionally, the step of obtaining the target air conditioning equipment that can meet the air demand of the air node based on the historical operating data includes: Based on the historical operating data, calculate the correlation coefficient between the air demand of the air nodes and the air conditioning equipment corresponding to the equipment nodes; When the correlation coefficient is greater than a preset correlation threshold, the air conditioning device is determined to be a target air conditioning device that can meet the air requirements of the air node.

[0009] Optionally, the step of determining the weight of the relation edge based on the historical operating data of the target air conditioning device includes: If there is only one target air conditioning device, then the weight of the relation edge is 1; If there are at least two target air conditioning devices, the weight of the relation edge corresponding to each target air conditioning device is determined based on the rate of influence of each target air conditioning device on the air node.

[0010] Optionally, determining the air conditioning equipment and operating parameters to be operated based on the whole-house air conditioning bipartite diagram to meet the target air conditioning needs includes: By querying the bipartite graph of the whole-house air conditioning system, the air nodes corresponding to the dimensions of the air to be regulated are obtained. Determine the relation edges among the air nodes that satisfy the target adjustment requirements; Based on the determined bipartite graph nodes, air nodes, and relation edges, the air conditioning equipment to be operated and its operating parameters are determined.

[0011] Optionally, the step of determining the air conditioning equipment to be operated and its operating parameters based on the determined bipartite graph nodes, air nodes, and relation edges includes: Obtain the number and weight of relation edges that satisfy the adjustment requirements; Based on the number and weight of the obtained relational edges, determine the air conditioning equipment to be operated and the operating parameters of each air conditioning equipment to be operated.

[0012] Furthermore, to achieve the above objectives, the present invention also provides an air conditioning device, the air conditioning device comprising: The receiving module is used to receive target adjustment requests for air nodes; The determination module is used to determine the air conditioning equipment to be operated and its operating parameters based on the whole-house air conditioning bipartite diagram; The control module is used to control the determined air conditioning equipment to operate according to the operating parameters.

[0013] Furthermore, to achieve the above objectives, the present invention also proposes an air conditioning device, the air conditioning device comprising: a memory, a processor, and an air conditioning program stored in the memory and executable on the processor, the air conditioning program being configured to implement the steps of the air conditioning method described above.

[0014] Furthermore, to achieve the above objectives, the present invention also proposes a storage medium storing an air conditioning program and an air conditioning method thereof, wherein when the air conditioning program is executed by a processor, it implements the steps of the air conditioning method described above.

[0015] This invention receives target air conditioning requests for air nodes; determines the air conditioning equipment to be operated and its operating parameters based on the whole-house air conditioning bipartite graph; and controls the determined air conditioning equipment to operate according to the operating parameters. By pre-constructing a whole-house air conditioning bipartite graph within the whole-house area, this invention can determine the corresponding air conditioning equipment based on the nodes and relational edges in the whole-house air conditioning bipartite graph when a target air conditioning request is received. This achieves precise control of the air conditioning equipment within the whole-house area, improves air conditioning efficiency, and avoids the technical problem of low efficiency in whole-house air conditioning in existing technologies. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of the structure of an air conditioning device for the hardware operating environment involved in the embodiments of the present invention; Figure 2 This is a flowchart illustrating the first embodiment of the air conditioning method of the present invention; Figure 3 This is a flowchart illustrating the second embodiment of the air conditioning method of the present invention; Figure 4 This is a schematic diagram of a bipartite graph example of an embodiment of the air conditioning method of the present invention; Figure 5 This is a flowchart illustrating the second embodiment of the air conditioning method of the present invention; Figure 6 This is a structural block diagram of the first embodiment of the air conditioning device of the present invention.

[0017] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0018] It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the invention.

[0019] Reference Figure 1 , Figure 1 This is a schematic diagram of the air conditioning equipment structure in the hardware operating environment involved in the embodiments of the present invention.

[0020] like Figure 1 As shown, the air conditioning device may include: a processor 101, such as a central processing unit (CPU), a communication bus 102, a user interface 103, a network interface 104, and a memory 105. The communication bus 102 is used to enable communication between these components. The user interface 103 may include a display screen and an input unit such as a keyboard; optionally, the user interface 103 may also include a standard wired interface or a wireless interface. The network interface 104 may optionally include a standard wired interface or a wireless interface (such as a Wireless-Fidelity (Wi-Fi) interface). The memory 105 may be high-speed random access memory (RAM) or stable non-volatile memory (NVM), such as a disk storage device. Optionally, the memory 105 may also be a storage device independent of the aforementioned processor 101.

[0021] Those skilled in the art will understand that Figure 1 The structure shown does not constitute a limitation on the air conditioning equipment and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0022] like Figure 1 As shown, the memory 105, which serves as a storage medium, may include an operating system, a network communication module, a user interface module, and an air conditioning program.

[0023] exist Figure 1 In the air conditioning device shown, the network interface 104 is mainly used for data communication with the network server; the user interface 103 is mainly used for data interaction with the user; the processor 101 and the memory 105 in the air conditioning device of the present invention can be set in the air conditioning device, and the air conditioning device calls the air conditioning program stored in the memory 105 through the processor 101 and executes the air conditioning method provided in the embodiment of the present invention.

[0024] This invention provides an air conditioning method, referring to... Figure 2 , Figure 2 This is a flowchart illustrating a first embodiment of an air conditioning method according to the present invention.

[0025] In this embodiment, the air conditioning method includes the following steps: Step S10: Receive the target adjustment request for the air node.

[0026] The execution subject of the method in this embodiment can be a device with functions such as data processing, network communication and program operation, such as a controller of a whole-house air conditioning system or a cloud control server, or other devices that can achieve the same or similar functions. This embodiment does not make specific limitations on this. In this embodiment and the following embodiments, the controller of a whole-house air conditioning system will be used as an example for explanation.

[0027] It should be understood that existing whole-house systems can only operate at the device level, meaning that by binding or unbinding devices, their capabilities can be fully utilized or not utilized at all. However, the area affected by each air conditioning device is limited, and the degree of influence of different devices on the air in the same area is also limited. For example, central air conditioning A can control the temperature throughout the entire house, while wall-mounted air conditioning B can only adjust the temperature in one room. If the user only wants to adjust the temperature in that room, turning on wall-mounted air conditioning B is far more effective and saves resources than turning on central air conditioning A. In particular, current whole-house smart home systems struggle to fully utilize the capabilities of each device, resulting in low efficiency in regulating air throughout the house.

[0028] To address the aforementioned issues, this embodiment establishes a bipartite graph between air conditioning devices and air dimension data throughout the entire house. This bipartite graph records which air conditioning devices affect the air dimension data of each area, and the degree of influence of different devices on the same area. Consequently, when a target adjustment request is received, the air conditioning devices that need to be controlled can be determined based on the whole-house air conditioning bipartite graph, improving the accuracy of air dimension data adjustment throughout the house and reducing resource waste.

[0029] It is understandable that the target adjustment requirement refers to the need to adjust the air dimension data of a certain area within the whole house. Receiving the target adjustment requirement for an air node can specifically involve receiving a user's selection instruction for an air node in a bipartite graph, and determining the adjustment requirement for that air node based on the selection instruction. Furthermore, the target adjustment requirement for an air node can also be AI-driven automatic control or recommendation, which can automatically generate a user-preferred choice based on the target value and current value of the air dimension to be adjusted, prioritizing energy efficiency or comfort. The steps preceding the receiving of the target adjustment requirement include: Obtain the target and current values ​​of the air dimension to be adjusted; The adjustment requirements for the air dimension to be adjusted are determined based on the target value and the current value.

[0030] Step S20: Determine the air conditioning equipment to be operated and its operating parameters based on the whole-house air conditioning bipartite diagram to meet the target air conditioning requirements.

[0031] It is worth noting that the whole-house air conditioning bipartite graph consists of device nodes representing the air conditioning equipment, air nodes representing air dimension data, and relationship edges between device nodes and air nodes. In this embodiment, relationship edges are only established between device nodes and air nodes, and no relationship edges are established between device nodes or between air nodes.

[0032] In the specific implementation, during the process of generating device nodes representing the air conditioning equipment and air nodes representing air dimension data, each air conditioning equipment corresponds to a device node, and each area's air dimension data corresponds to an air node. When generating device nodes and air nodes, the IDs of each room and each device in the whole house area can also be obtained to distinguish different air nodes and device nodes.

[0033] It should be noted that the air conditioning equipment in this embodiment includes, but is not limited to, air conditioners, electric heaters, floor heating systems, and electric fans, which are devices that can adjust air dimension data, including but not limited to temperature, humidity, fresh air volume, and air velocity.

[0034] It is understandable that different target adjustment needs correspond to different air nodes and relational edges. Based on each air node, the target air conditioning equipment that can adjust the air node is obtained as the air conditioning equipment to be operated, and the operating parameters of the air conditioning equipment are determined according to the historical operating data of the target air conditioning equipment and the change value of the corresponding air dimension data of the air node.

[0035] Step S30: Control the determined air conditioning equipment to operate according to the operating parameters.

[0036] This embodiment acquires air conditioning equipment and air dimension data for the entire house area to generate device nodes representing air conditioning equipment and air nodes representing air dimension data in a bipartite graph. Based on the historical operating data of each device in the entire house area, it generates relationship edges between device nodes and air nodes, thus obtaining a whole-house air conditioning bipartite graph. When a target air conditioning demand is received, the corresponding air conditioning equipment can be determined based on the nodes and relationship edges in this whole-house air conditioning bipartite graph, achieving precise control of the air conditioning equipment throughout the house area, improving air conditioning efficiency, and avoiding the technical problem of low efficiency in whole-house air conditioning in existing technologies.

[0037] refer to Figure 3 , Figure 3 This is a flowchart illustrating a second embodiment of an air conditioning method according to the present invention.

[0038] Based on the first embodiment described above, in this embodiment, before step S10, the method further includes: Step S01: Obtain air conditioning equipment, air dimension data, and historical operating data of each device throughout the house.

[0039] Understandably, historical operating data includes the historical operating parameters of each device and the air dimension change values ​​in each room. The historical operating parameters of each device include data such as historical operating modes and historical operating times. The air dimension change values ​​include the changes in air dimension data such as temperature, humidity, CO2, and fresh air volume under different operating modes.

[0040] Step S02: Generate a device node representing the air conditioning device and an air node representing the air dimension data based on the air conditioning device and the air dimension data.

[0041] In this embodiment, the air conditioning equipment is mainly derived from the home appliance network connection relationship. That is, when a user adds a new device to the network in the home, the device is automatically added to the device node, such as device A, device B, and device C. The air dimension data is generated by initialization to generate a variety of air nodes, which can be modified by the user, such as living room temperature, living room humidity, master bedroom humidity, etc. This embodiment does not impose specific restrictions on this.

[0042] Step S03: Based on the historical operating data, generate the relationship edges between the device nodes and the air nodes to obtain the whole-house air conditioning bipartite graph.

[0043] In the specific implementation, based on each air node, the target air conditioning device that can adjust the air node is obtained, and the relationship edge between the air node and the device node representing the target air conditioning device is established according to the historical operating data of the target air conditioning device and the change value of the corresponding air dimension data of the air node.

[0044] Furthermore, the step of generating the relationship edges between device nodes and air nodes based on the historical operating data includes: Based on the historical operating data, identify the target air conditioning equipment that can meet the air requirements of the air nodes; Establish the relationship edges between the air nodes and the device nodes representing the target air conditioning equipment; Based on the air demand, determine the attributes of the relation edge; The weights of the relation edges are determined based on the historical operating data of the target air conditioning equipment.

[0045] The attributes of the relation edges refer to the control relationship between the device node and the air node, such as the ability to control the air node parameters to increase or decrease.

[0046] Taking living room temperature as an example, by acquiring the target air conditioning device that can adjust the living room temperature, i.e., the air conditioner, and based on the historical operating data of the air conditioner and the change value of the living room temperature, the relationship between the device node representing the air conditioner and the air node representing the living room temperature can be determined, whether it is a decreasing or increasing relationship.

[0047] Furthermore, the step of obtaining the target air conditioning equipment that can meet the air demand of the air node based on the historical operating data includes: Based on the historical operating data, calculate the correlation coefficient between the air demand of the air nodes and the air conditioning equipment corresponding to the equipment nodes; When the correlation coefficient is greater than a preset correlation threshold, the air conditioning device is determined to be a target air conditioning device that can meet the air requirements of the air node.

[0048] It should be noted that, since historical data is acquired in chronological order, all air dimension data for all devices and regions are obtained. The change in air dimension data for a certain region at the same time is not due to the operation of the devices, but rather to the possible overlap of the working areas of different devices or changes caused by environmental influences. Therefore, in order to improve the reliability of the relationship between device nodes and air nodes, this embodiment calculates the correlation coefficient between the air demand of the air node and the air conditioning device corresponding to the device node. If the correlation coefficient is greater than a preset correlation threshold, the air conditioning device is determined to be the target air conditioning device that can meet the air demand of the air node, thereby improving the reliability of the whole-house air conditioning bipartite graph.

[0049] Furthermore, the step of determining the weight of the relation edge based on the historical operating data of the target air conditioning equipment includes: If there is only one target air conditioning device, then the weight of the relation edge is 1; If there are at least two target air conditioning devices, the weight of the relation edge corresponding to each target air conditioning device is determined based on the rate of influence of each target air conditioning device on the air node.

[0050] It is understandable that air dimension data in the same area may be affected by multiple air conditioning devices simultaneously, and the influence of different air conditioning devices varies. In order to improve the air conditioning effect, this embodiment can calculate the weight of the relationship edge between the target air conditioning devices connected to each air node. In this embodiment, if there is one target air conditioning device, the weight of the relationship edge between the two is 1; if there are at least two target air conditioning devices, the weight of the relationship edge corresponding to the target air conditioning device is determined according to the influence rate of each target air conditioning device on the air node.

[0051] In the specific implementation, refer to Figure 4 Taking living room humidity as an example, if the only device affecting living room humidity is an air conditioner, then the weight of the relationship edge between the device node corresponding to the air conditioner and the air node corresponding to living room humidity is 1. If the devices affecting living room humidity include an air conditioner and a humidifier, when calculating the weight of the relationship edge between the device nodes corresponding to the two devices and the air node corresponding to living room humidity, the weight of the relationship edge between the device nodes corresponding to the two devices and the air node corresponding to living room humidity can be determined based on the rate of influence of the air conditioner and the humidifier on living room humidity.

[0052] This embodiment acquires air conditioning equipment and air dimension data for the entire house area, generates device nodes representing air conditioning equipment and air nodes representing air dimension data, and acquires historical operating data for each device in the entire house area. Finally, based on the historical operating data, it generates relationship edges between device nodes and air nodes to obtain a bipartite graph for subsequent air conditioning, thereby improving the air conditioning effect.

[0053] This invention also provides an air conditioning method, referring to... Figure 5 , Figure 5 This is a flowchart illustrating a third embodiment of an air conditioning method according to the present invention.

[0054] Based on the first embodiment described above, in this embodiment, step S20 includes: Step S201: Query the whole-house air conditioning bipartite graph to obtain the air nodes corresponding to the air dimension to be regulated.

[0055] Understandably, from the bipartite graph, we find the corresponding air entity 'a', and based on the addition / subtraction requirements, we find the corresponding addition / subtraction edges to air entity 'a'. Specifically, refer to... Figure 4 Adding an edge refers to a relationship edge where the device node has an uplifting function on the parameters of the air node, and is represented by a solid line. Subtracting an edge refers to a relationship edge where the device node has a downlifting function on the parameters of the air node, and is represented by a dashed line.

[0056] Step S202: Determine the relation edges among the air nodes that satisfy the target adjustment requirements.

[0057] In practical implementation, for different target adjustment needs, air nodes have different connected device nodes and relationship edges in the whole house air conditioning bipartite graph. For example, when the target adjustment need is to reduce the living room temperature, the air node corresponding to the living room temperature is first determined, and then the relationship edge that can reduce the living room temperature is determined through the attributes of the relationship edge, and then the device node connected to the relationship edge is determined.

[0058] Step S203: Based on the determined bipartite graph nodes, air nodes, and relation edges, determine the air conditioning equipment to be operated and its operating parameters.

[0059] It should be understood that if there is only one air conditioning unit to be operated, the operation of that air conditioning unit can be directly controlled to meet the target conditioning requirements.

[0060] Furthermore, the step of determining the air conditioning equipment to be operated based on the determined bipartite graph nodes, air nodes, and relation edges includes: Obtain the number and weight of relation edges that satisfy the adjustment requirements; Based on the number and weight of the obtained relation edges, determine the air conditioning equipment to be operated.

[0061] However, considering that an air node may have multiple connected device nodes and that the weights of the relationship edges between different device nodes may differ, in order to improve the efficiency of air conditioning, this embodiment can determine the air conditioning equipment to be operated based on the number and weight of the obtained relationship edges, and determine the operating parameters of each air conditioning equipment to be operated. The air conditioning equipment to be operated with a larger weight will undertake more regulation during operation, and the air conditioning equipment to be operated with a smaller weight will undertake less regulation during operation. For example, if the target regulation requirement is to increase the living room temperature by 5°C, the air conditioner can increase the temperature by 3°C every ten minutes, while the underfloor heating can only increase the temperature by 1°C every ten minutes. Then, the heating ratio of the air conditioner and the underfloor heating can be controlled according to the ratio, thereby determining the operating time and operating parameters of the air conditioner and the underfloor heating.

[0062] This embodiment obtains the air nodes corresponding to the air dimension to be regulated by querying the whole-house air conditioning bipartite graph; determines the relation edges of the air nodes that meet the target regulation requirements; and determines the air conditioning equipment to be operated and its operating parameters based on the determined bipartite graph air nodes and relation edges, thereby controlling the operation of the determined air conditioning equipment, improving the efficiency of air conditioning, and reducing ineffective energy consumption.

[0063] Furthermore, embodiments of the present invention also propose a storage medium storing an air conditioning program and an air conditioning method thereof, wherein the air conditioning program, when executed by a processor, implements the steps of the air conditioning method described above.

[0064] Since this storage medium adopts all the technical solutions of all the above embodiments, it has at least all the beneficial effects brought about by the technical solutions of the above embodiments, which will not be repeated here.

[0065] Reference Figure 6 , Figure 6 This is a structural block diagram of the first embodiment of the air conditioning device of the present invention.

[0066] like Figure 6 As shown, the air conditioning device proposed in this embodiment of the invention includes: The receiving module 10 is used to receive the target adjustment requirements for the air node.

[0067] The determination module 20 is used to determine the air conditioning equipment to be operated and its operating parameters based on the whole-house air conditioning bipartite diagram.

[0068] The control module 30 is used to control the determined air conditioning equipment to operate according to the operating parameters.

[0069] In one embodiment, the receiving module 10 is further configured to acquire air conditioning equipment, air dimension data, and historical operating data of each equipment within the whole house area; generate device nodes representing the air conditioning equipment and air nodes representing the air dimension data based on the air conditioning equipment and the air dimension data; and generate relationship edges between the device nodes and air nodes based on the historical operating data to obtain a whole house air conditioning bipartite graph.

[0070] In one embodiment, the receiving module 10 is further configured to: acquire a target air conditioning device that can meet the air demand of the air node based on the historical operating data; establish a relationship edge between the air node and the device node representing the target air conditioning device; determine the attributes of the relationship edge based on the air demand; and determine the weight of the relationship edge based on the historical operating data of the target air conditioning device.

[0071] In one embodiment, the receiving module 10 is further configured to calculate the correlation coefficient between the air demand of the air node and the air conditioning equipment corresponding to the equipment node based on the historical operating data; when the correlation coefficient is greater than a preset correlation threshold, the air conditioning equipment is determined to be the target air conditioning equipment that can meet the air demand of the air node.

[0072] In one embodiment, the receiving module 10 is further configured to: if there is only one target air conditioning device, then the weight of the relational edge is 1; if there are at least two target air conditioning devices, then determine the weight of the relational edge corresponding to the target air conditioning device based on the rate of influence of each target air conditioning device on the air node.

[0073] In one embodiment, the determining module 20 is further configured to query the whole-house air conditioning bipartite graph to obtain the air nodes corresponding to the air dimension to be adjusted; determine the relation edges of the air nodes that satisfy the target adjustment requirements; and determine the air conditioning equipment to be operated and its operating parameters based on the determined bipartite graph air nodes and relation edges.

[0074] In one embodiment, the determining module 20 is further configured to obtain the number and weight of relational edges that meet the adjustment requirements; and determine the air conditioning equipment to be operated and the operating parameters of each air conditioning equipment to be operated based on the obtained number and weight of relational edges.

[0075] This embodiment acquires air conditioning equipment and air dimension data for the entire house area to generate device nodes representing air conditioning equipment and air dimension data nodes in a bipartite graph. Based on the historical operating data of each device in the entire house area, it generates relationship edges between device nodes and air nodes, thus obtaining a whole-house air conditioning bipartite graph. When a target air conditioning demand is received, the corresponding air conditioning equipment can be determined based on the nodes and relationship edges in this whole-house air conditioning bipartite graph, achieving precise control of the air conditioning equipment throughout the house area, improving air conditioning efficiency, and avoiding the technical problem of low efficiency in whole-house air conditioning in existing technologies. It should be understood that although the steps in the flowcharts of this application's embodiments are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some of the steps in the figures may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be performed alternately or in turn with other steps or at least a portion of the sub-steps or stages of other steps.

[0076] It should be understood that the above are merely illustrative examples and do not constitute any limitation on the technical solutions of the present invention. In specific applications, those skilled in the art can make settings as needed, and the present invention does not impose any restrictions on this.

[0077] It should be noted that the workflow described above is merely illustrative and does not limit the scope of protection of this invention. In practical applications, those skilled in the art can select some or all of the workflow to achieve the purpose of this embodiment according to actual needs, and no restrictions are imposed here.

[0078] In addition, for technical details not described in detail in this embodiment, please refer to the air conditioning method provided in any embodiment of the present invention, which will not be repeated here.

[0079] Furthermore, it should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

[0080] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0081] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as read-only memory (ROM) / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0082] The above are merely preferred embodiments of the present invention and do not limit the scope of the patent. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.

Claims

1. An air conditioning method, characterized in that, The air conditioning method includes: Receive target adjustment requests for air nodes; The target air conditioning requirements and their operating parameters are determined based on the whole-house air conditioning bipartite diagram. The air conditioning equipment is controlled to operate according to the specified operating parameters; Before receiving the target adjustment request for the air node, the method further includes: Acquire air conditioning equipment, air dimension data, and historical operating data of each device throughout the entire house area; Generate a device node representing the air conditioning device and an air node representing the air dimension data based on the air conditioning device and the air dimension data; Based on the historical operating data, the relationship edges between the device nodes and the air nodes are generated to obtain a bipartite graph of the whole-house air conditioning system.

2. The air conditioning method as described in claim 1, characterized in that, The step of generating the relationship edges between device nodes and air nodes based on the historical operation data includes: Based on the historical operating data, identify the target air conditioning equipment that can meet the air requirements of the air nodes; Establish the relationship edges between the air nodes and the device nodes representing the target air conditioning equipment; Based on the air demand, determine the attributes of the relation edge; The weights of the relation edges are determined based on the historical operating data of the target air conditioning equipment.

3. The air conditioning method as described in claim 2, characterized in that, The step of obtaining the target air conditioning equipment that can meet the air demand of the air node based on the historical operating data includes: Based on the historical operating data, calculate the correlation coefficient between the air demand of the air nodes and the air conditioning equipment corresponding to the equipment nodes; When the correlation coefficient is greater than a preset correlation threshold, the air conditioning device is determined to be a target air conditioning device that can meet the air requirements of the air node.

4. The air conditioning method as described in claim 2, characterized in that, The step of determining the weight of the relation edge based on the historical operating data of the target air conditioning equipment includes: If there is only one target air conditioning device, then the weight of the relation edge is 1; If there are at least two target air conditioning devices, the weight of the relation edge corresponding to each target air conditioning device is determined based on the rate of influence of each target air conditioning device on the air node.

5. The air conditioning method according to any one of claims 1-4, characterized in that, The air conditioning equipment and operating parameters to be operated based on the whole-house air conditioning bipartite diagram for determining the target air conditioning demand include: Query the bipartite graph of whole-house air conditioning to obtain the air nodes corresponding to the dimensions of the air to be regulated; Determine the relation edges among the air nodes that satisfy the target adjustment requirements; Based on the determined air nodes and relational edges, determine the air conditioning equipment to be operated and its operating parameters.

6. The air conditioning method as described in claim 5, characterized in that, The step of determining the air conditioning equipment to be operated and its operating parameters based on the determined air nodes and relation edges includes: Obtain the number and weight of relation edges that satisfy the adjustment requirements; Based on the number and weight of the obtained relational edges, determine the air conditioning equipment to be operated and the operating parameters of each air conditioning equipment to be operated.

7. An air conditioning device, characterized in that, The air conditioning device includes: The receiving module is used to receive target adjustment requests for air nodes; The determination module is used to determine the air conditioning equipment to be operated and its operating parameters based on the whole-house air conditioning bipartite diagram; A control module is used to control the determined air conditioning equipment to operate according to the operating parameters; The receiving module is further configured to acquire air conditioning equipment, air dimension data, and historical operating data of each equipment within the whole house area; generate device nodes representing the air conditioning equipment and air nodes representing the air dimension data based on the air conditioning equipment and the air dimension data; and generate relationship edges between the device nodes and air nodes based on the historical operating data to obtain a whole house air conditioning bipartite graph.

8. An air conditioning device, characterized in that, The air conditioning device includes: a memory, a processor, and an air conditioning program stored in the memory and executable on the processor, the air conditioning program being configured to implement the air conditioning method as described in any one of claims 1 to 6.

9. A storage medium, characterized in that, The storage medium stores an air conditioning program, which, when executed by a processor, implements the air conditioning method as described in any one of claims 1 to 6.

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