Smart home interconnection control method, smart home system and storage medium

Abstract

The invention provides a smart home interconnection control method, a smart home system and a storage medium. The smart home interconnection control method comprises the following steps: monitoring operation states of a plurality of smart homes by using WiFi signals; when the running state of a certain smart home changes, air parameter changes predicted by the indoor environment are obtained; judging whether the predicted air parameter change needs to be confirmed or not; if yes, actual air parameter changes of the indoor environment are detected; and when the actual air parameter change accords with the predicted air parameter change, other smart home is adjusted. According to the scheme of the invention, interconnection control of a plurality of smart homes in an indoor environment can be realized, the intelligent degree is effectively improved, the time and energy of a user are saved, and the use experience of the user is improved; therefore, the running state of the interconnected smart home conforms to the current actual situation, the use requirement of the user is fully met, and the use experience of the user is further improved.

Description

Technical Field

[0001] The present invention relates to the technical field of home appliances, and in particular to a smart home interconnection control method, a smart home system and a storage medium. Background Art

[0002] With the development of society and the continuous improvement of people's living standards, people's requirements for quality of life are getting higher and higher. People pay more and more attention to the comfort of their living environment. Their demands for home appliances in daily life or work are not limited to traditional functions. They hope that they can make various adjustments according to users' real-time needs.

[0003] However, most current home appliances, due to their inherent functional and structural limitations, cannot fully implement the concept of interconnection with other home appliances. Specifically, most current home appliances cannot automatically adjust other devices based on changes in the status of a single device. Instead, they require manual adjustments by the user, wasting user time and energy. In short, most home appliances are not truly interconnected and controllable, with a relatively low level of intelligence, failing to fully meet user needs and resulting in a poor user experience. Summary of the Invention

[0004] One purpose of the present invention is to realize interconnected control of multiple smart homes in an indoor environment and improve the level of intelligence.

[0005] A further purpose of the present invention is to fully meet the user's usage needs and enhance the user's usage experience.

[0006] In particular, the present invention provides an interconnected control method for smart homes, including: using WiFi signals to monitor the operating status of multiple smart homes; when the operating status of a smart home changes, obtaining predicted air parameter changes in the indoor environment; determining whether the predicted air parameter changes need to be confirmed; if so, detecting actual air parameter changes in the indoor environment; and when the actual air parameter changes are consistent with the predicted air parameter changes, adjusting other smart homes.

[0007] Optionally, when the actual air parameter change does not match the predicted air parameter change, the actual air parameter change is detected repeatedly while continuing to monitor the changed operating status of the smart home.

[0008] Optionally, the step of determining whether the predicted air parameter change needs to be confirmed includes determining whether a change in the operating state of a smart home will inevitably lead to a change in the predicted air parameters, and the air parameters of the indoor environment include: air temperature, air humidity, and air quality.

[0009] Optionally, the smart home includes: an air conditioner and a gas stove. When the operating state of the gas stove changes from off to on, the predicted air parameter change is a decrease in air quality, and the predicted air parameter change needs to be confirmed. When the actual air parameter change is consistent with the predicted air parameter change, the air conditioner is controlled to turn on the fresh air mode.

[0010] Optionally, when there is no need to confirm the predicted air parameter changes, other smart home appliances are adjusted directly.

[0011] Optionally, the smart home includes: an air conditioner and a gas stove. When the operating state of the gas stove changes from off to on, the predicted air parameter change is an increase in air temperature, and there is no need to confirm the predicted air parameter change, and the air conditioner is directly controlled to turn on the air supply mode or cooling mode.

[0012] Optionally, the smart home includes: an air conditioner and a refrigerator. When the operating state of the air conditioner changes from off to cooling mode, the predicted air parameter change is a decrease in air temperature, and there is no need to confirm the predicted air parameter change, and the refrigerator is directly controlled to reduce the operating frequency of the compressor; when the operating state of the air conditioner changes from off to heating mode, the predicted air parameter change is an increase in air temperature, and there is no need to confirm the predicted air parameter change, and the refrigerator is directly controlled to increase the operating frequency of the compressor.

[0013] Optionally, the smart home includes: an air conditioner and a shower head. When the operating state of the shower head changes from off to on, the predicted air parameter change is an increase in air humidity, and there is no need to confirm the predicted air parameter change, and the air conditioner is directly controlled to turn on the dehumidification mode.

[0014] According to another aspect of the present invention, a smart home system is also provided, comprising multiple smart homes and including: a controller, the controller including a memory and a processor, wherein the memory stores a machine executable program, and when the machine executable program is executed by the processor, it can implement any of the above-mentioned smart home interconnection control methods.

[0015] According to another aspect of the present invention, a machine-readable storage medium is provided, on which a machine-executable program is stored. When the machine-executable program is executed by a processor, it can implement any of the above-mentioned smart home interconnection control methods.

[0016] The interconnected control method, smart home system and machine-readable storage medium of the smart home of the present invention use WiFi signals to monitor the operating status of multiple smart homes. When the operating status of a smart home changes, the predicted air parameter changes of the indoor environment are obtained, and it is determined whether the predicted air parameter changes need to be confirmed. When the judgment result is yes, the actual air parameter changes in the indoor environment are detected. When the actual air parameter changes are consistent with the predicted air parameter changes, other smart homes are adjusted. This can realize the interconnected control of multiple smart homes in the indoor environment, effectively improve the level of intelligence, save users' time and energy, and enhance the user experience.

[0017] Furthermore, the interconnected control method, smart home system and machine-readable storage medium of the smart home of the present invention directly adjust other smart homes when there is no need to confirm the predicted air parameter changes; when it is necessary to confirm the predicted air parameter changes, if the actual air parameter changes of the detected indoor environment are consistent with the predicted air parameter changes, other smart homes are adjusted. When the actual air parameter changes are inconsistent with the predicted air parameter changes, the actual air parameter changes are repeatedly detected, and the operating status of the changed smart home is continued to be monitored, so that the operating status of the interconnected smart home conforms to the current actual situation, fully meets the user's usage needs, and further improves the user's usage experience.

[0018] Based on the following detailed description of specific embodiments of the present invention in conjunction with the accompanying drawings, those skilled in the art will become more aware of the above and other objects, advantages and features of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Hereinafter, some specific embodiments of the present invention will be described in detail in an exemplary and non-limiting manner with reference to the accompanying drawings. The same reference numerals in the accompanying drawings indicate the same or similar components or parts. It should be understood by those skilled in the art that these drawings are not necessarily drawn to scale. In the accompanying drawings:

[0020] Figure 1 is a schematic diagram of a smart home interconnection control method according to an embodiment of the present invention;

[0021] Figure 2 is a detailed flow chart of a smart home interconnection control method according to one embodiment of the present invention;

[0022] Figure 3 is a schematic block diagram of a controller of a smart home system according to one embodiment of the present invention; and

[0023] Figure 4 is a schematic diagram of a machine-readable storage medium according to an embodiment of the present invention. DETAILED DESCRIPTION

[0024] This embodiment first provides a smart home interconnection control method, which can realize the interconnection control of multiple smart homes in an indoor environment, effectively improve the level of intelligence, save users' time and energy, and improve users' usage experience. Figure 1 FIG is a schematic diagram of a smart home interconnection control method according to an embodiment of the present invention. Figure 1 As shown, the interconnection control method of the smart home may include the following steps:

[0025] Step S102, using WiFi signals to monitor the operating status of multiple smart homes;

[0026] Step S104, when the operating state of a smart home changes, obtaining predicted air parameter changes of the indoor environment;

[0027] Step S106, determining whether the predicted air parameter change needs to be confirmed, if so, executing step S108;

[0028] Step S108, detecting actual air parameter changes in the indoor environment;

[0029] Step S110: When the actual air parameter change is consistent with the predicted air parameter change, other smart homes are adjusted.

[0030] In the above steps, step S102 uses WiFi signals to monitor the operating status of multiple smart home devices. This technology can be called "WiFi sensing" or "WiFi-based environmental sensing technology." The core principle is to use subtle changes in WiFi signal transmission caused by factors such as object movement and device operation to infer device status or environmental conditions.

[0031] Specifically, WiFi signals emitted by a router are reflected, diffracted, and absorbed when they encounter objects, such as smart home appliances. The operating conditions of various smart home appliances, including internal circuits and motors, can uniquely affect WiFi signal parameters such as phase, amplitude, and frequency. By analyzing these changes, the operating status of the smart home can be determined.

[0032] In a preferred embodiment, the operating status of multiple smart home devices can be monitored based on the Channel State Information (CSI) of WiFi signals. WiFi chips, such as those in some routers or dedicated sensors, collect phase and amplitude variations of signals on different subcarriers to generate CSI data. For example, when a refrigerator compressor starts, the current changes will interfere with the CSI characteristics of nearby WiFi signals, allowing for identification.

[0033] In another preferred embodiment, the operating status of multiple smart home devices can be monitored based on the Received Signal Strength Indicator (RSSI) of WiFi signals. Device status can be determined by detecting slight fluctuations in signal strength. For example, when a smart light bulb is turned on, its internal circuitry may cause nearby RSSI values ​​to change in a specific pattern.

[0034] The operating status of most connected smart home devices can be monitored via WiFi signals. Specifically, for smart home appliances, this can include monitoring their power on and off status; operating modes, such as cooling and heating modes for air conditioners; and operating states, such as washing and spinning for washing machines. The following describes a specific example: When an air conditioner is turned on, the operation of its compressor causes periodic changes in the CSI phase of nearby WiFi signals.

[0035] For smart lighting, smart homes can monitor the turning on and off of lights and adjust brightness. A specific example is described below: When a smart bulb is turned on, the RSSI value may briefly fluctuate, which can be identified as a "light on" event.

[0036] For smart home security devices, it is possible to monitor the opening and closing of doors and windows, as well as human movement. The following describes a specific embodiment: When a person approaches a smart door lock, their body blocks the WiFi signal, causing the RSSI value to drop, signaling an approaching person.

[0037] For smart home appliances such as kitchen appliances, it is possible to monitor microwave heating, oven operation, range hood operation, etc. The following describes a specific embodiment: When a microwave oven is operating, the internal electromagnetic activity may interfere with the WiFi signal, forming a unique signal signature.

[0038] For other smart home applications, it can monitor the start and stop of humidifiers and air purifiers, as well as the operating status of pet feeders. The following describes a specific example: When the air purifier fan starts, the rotating blades will produce regular reflections of the WiFi signal, which can be accurately identified.

[0039] Using WiFi signals to monitor the operating status of multiple smart homes offers the following advantages: non-contact monitoring, requiring no additional sensors and operating solely through existing WiFi networks, resulting in low cost and easy deployment. Simultaneous monitoring of multiple devices allows a single WiFi router to cover multiple rooms and simultaneously monitor the operating status of all smart homes, making it suitable for home automation scenarios. Furthermore, WiFi sensing offers better privacy protection, as it doesn't directly capture images or sounds, making it more user-friendly than cameras or microphones. Using WiFi signals to monitor the operating status of multiple smart homes enables intelligent interconnection.

[0040] In step S104, when the operating state of a smart home changes, predicted changes in indoor environment air parameters are obtained. The indoor environment air parameters may include air temperature, air humidity, and air quality. In other words, when the operating state of a smart home changes, it is possible to predict whether the change in operating state will affect the air temperature, air humidity, and air quality.

[0041] Step S106 determines whether the predicted air parameter changes need to be confirmed. If the result of step S106 is yes, step S108 is executed to detect the actual air parameter changes in the indoor environment. In a specific embodiment, determining whether the predicted air parameter changes need to be confirmed can refer to determining whether a change in the operating status of a smart home necessarily leads to the predicted air parameter changes. If so, no confirmation is required; if not, further confirmation is required.

[0042] When the predicted air parameter changes need to be confirmed, the actual air parameter changes in the indoor environment are detected. Step S110 is then executed. If the actual air parameter changes match the predicted air parameter changes, adjustments are made to other smart home appliances. If the actual air parameter changes match the predicted air parameter changes, this indicates that the predicted air parameter changes are accurate, and that a change in the operating status of a particular smart home appliance has indeed caused changes in certain air parameters in the indoor environment, necessitating adjustments to other related smart home appliances. This ensures that the operating status of the interconnected smart homes matches the current actual situation and fully meets user needs.

[0043] In addition, when the actual air parameter changes do not match the predicted air parameter changes, the actual air parameter changes are repeatedly detected while continuing to monitor the operating status of the smart home that has changed. The actual air parameter changes do not match the predicted air parameter changes, indicating that the predicted air parameter changes are not accurate. The change in the operating status of a smart home may not temporarily cause a change in the air parameters of the indoor environment, or may not cause a change in the air parameters of the indoor environment. In this case, it is necessary to repeatedly detect the actual air parameter changes to ensure the accuracy of the judgment results. At the same time, the operating status of the smart home that has changed can continue to be monitored, because the operating status may continue to change, such as returning to a previous state.

[0044] In a preferred embodiment, if the result of the determination in step S106 is negative, i.e., if there is no need to confirm the predicted air parameter change, adjustments can be made to other smart home appliances directly. As mentioned above, if a change in the operating status of a smart home appliance inevitably leads to a change in the predicted air parameter, then no confirmation is required, and adjustments can be made to other related smart home appliances directly.

[0045] In summary, the interconnected control method of the smart home in this embodiment uses WiFi signals to monitor the operating status of multiple smart homes. When the operating status of a smart home changes, the predicted air parameter changes of the indoor environment are obtained, and it is determined whether the predicted air parameter changes need to be confirmed. When the judgment result is yes, the actual air parameter changes in the indoor environment are detected. When the actual air parameter changes are consistent with the predicted air parameter changes, other smart homes are adjusted. This can realize the interconnected control of multiple smart homes in the indoor environment, effectively improve the level of intelligence, save users' time and energy, and enhance the user experience.

[0046] In some optional embodiments, the smart home can achieve higher technical effects by further optimizing and configuring the above steps. The following describes in detail the smart home interconnection control method of this embodiment in combination with an introduction to an optional execution process of this embodiment. This embodiment is only an example of the execution process. During specific implementation, the execution order and operating conditions of some steps can be modified according to specific implementation requirements. Figure 2 Detailed flow chart of a smart home interconnection control method according to one embodiment of the present invention, the smart home interconnection control method comprising the following steps:

[0047] Step S202, using WiFi signals to monitor the operating status of multiple smart homes;

[0048] Step S204, when the operating state of a smart home changes, obtaining the predicted air parameter changes of the indoor environment;

[0049] Step S206, determining whether the predicted air parameter change needs to be confirmed, if so, executing step S208, if not, executing step S212;

[0050] Step S208, detecting actual air parameter changes in the indoor environment;

[0051] Step S210, determining whether the actual air parameter change is consistent with the predicted air parameter change, if so, executing step S212, if not, executing step S214;

[0052] Step S212, adjusting other smart homes;

[0053] Step S214: Repeat the detection of actual air parameter changes while continuing to monitor the changed operating status of the smart home.

[0054] In the above steps, step S202 is first executed to monitor the operating status of multiple smart homes using WiFi signals. Then, step S204 is executed to obtain predicted indoor environment air parameter changes when the operating status of a smart home changes. The indoor environment air parameters may include: air temperature, air humidity, and air quality.

[0055] For example, when the operating state of a gas stove changes from off to on, it can be predicted that the air temperature will increase and the air quality will decrease; when the operating state of an air conditioner changes from off to cooling mode, it can be predicted that the air temperature will decrease, and when the operating state of an air conditioner changes from off to heating mode, it can be predicted that the air temperature will increase; when the operating state of a shower changes from off to on, it can be predicted that the air humidity will increase.

[0056] Since the operating status of some smart homes will inevitably lead to changes in the predicted air parameters, for example, the operating status of the gas stove changes from off to on, which will inevitably lead to an increase in air temperature; the operating status of the air conditioner changes from off to cooling mode, which will inevitably lead to a decrease in air temperature; the operating status of the air conditioner changes from off to heating mode, which will inevitably lead to an increase in air temperature; the operating status of the shower changes from off to on, which will inevitably lead to an increase in air humidity.

[0057] However, some changes in the operating status of smart homes may only lead to changes in predicted air parameters, not necessarily. For example, if a gas stove switches from off to on, it may cause a decrease in air quality if the user is cooking, but it may not if the user is just boiling water. In such cases, further confirmation of the predicted air parameter changes is required.

[0058] Specifically, step S206 can be executed to determine whether the predicted air parameter changes need to be confirmed. If the result of step S206 is yes, i.e., if the predicted air parameter changes need to be confirmed, step S208 can be executed to detect the actual air parameter changes in the indoor environment. As mentioned above, determining whether the predicted air parameter changes need to be confirmed can refer to determining whether a change in the operating status of a smart home necessarily leads to a predicted air parameter change. If so, then no confirmation is required; if not, further confirmation is required.

[0059] When it is necessary to confirm the predicted air parameter changes, the actual air parameter changes in the indoor environment are detected. Step S210 is then executed to determine whether the actual air parameter changes are consistent with the predicted air parameter changes. If the judgment result in step S210 is yes, that is, if the actual air parameter changes are consistent with the predicted air parameter changes, step S212 is executed to adjust other smart homes. If the actual air parameter changes are consistent with the predicted air parameter changes, it means that the predicted air parameter changes are accurate, and the operating status of a certain smart home has changed, which has indeed led to changes in certain air parameters in the indoor environment, and other related smart homes need to be adjusted. This ensures that the operating status of the interconnected smart homes is consistent with the current actual situation and fully meets the user's usage needs.

[0060] If the judgment result of step S210 is no, that is, if the actual air parameter change does not match the predicted air parameter change, step S214 is executed to repeatedly detect the actual air parameter change while continuing to monitor the operating status of the changed smart home. The actual air parameter change does not match the predicted air parameter change, which means that the predicted air parameter change is not accurate. The change in the operating status of a smart home may not temporarily cause a change in the air parameters of the indoor environment, or may not cause a change in the air parameters of the indoor environment. In this case, it is necessary to repeatedly detect the actual air parameter change to ensure the accuracy of the judgment result. At the same time, the operating status of the changed smart home can continue to be monitored because the operating status may continue to change, such as returning to a previous state.

[0061] If the result of step S206 is negative, i.e., if there is no need to confirm the predicted air parameter changes, step S212 can be executed to directly adjust other smart home appliances. As mentioned above, if the operating status of a smart home appliance changes and inevitably leads to a change in the predicted air parameters, then there is no need for confirmation and adjustments can be made to other related smart home appliances directly.

[0062] A specific embodiment is described below:

[0063] A smart home may include an air conditioner and a gas stove. When the gas stove's operating state changes from off to on, the predicted air parameter change indicates a decrease in air quality. The predicted air parameter change needs to be confirmed. When the actual air parameter change matches the predicted air parameter change, the air conditioner is controlled to turn on fresh air mode.

[0064] The gas stove's operating state changes from off to on. This could be because cooking can cause a decrease in air quality, or because hot water does not. Therefore, when the predicted air parameter change indicates a decrease in air quality, it is necessary to confirm the predicted air parameter change. By detecting the actual air parameter changes in the indoor environment, if the actual air parameter changes match the predicted air parameter changes, it can be determined that the prediction is accurate and the air quality has indeed decreased. Therefore, the air conditioner can be controlled to turn on the fresh air mode, introducing fresh air from outside into the room, improving the air quality of the indoor environment and ensuring user comfort. In this embodiment, the actual air quality changes in the indoor environment can be detected by a detection sensor provided on the air conditioner.

[0065] Another specific embodiment is introduced below:

[0066] The smart home includes an air conditioner and a gas stove. When the gas stove's operating state changes from off to on, the predicted air parameter change is an increase in air temperature. Without confirming the predicted air parameter change, the air conditioner is directly controlled to switch to air supply mode or cooling mode.

[0067] The operating state of the gas stove changes from off to on. Whether it is cooking or heating water, it will inevitably cause the air temperature to rise. Therefore, the predicted air parameter change is an increase in air temperature. There is no need to confirm the predicted air parameter change. The air conditioner can be directly controlled to turn on the air supply mode or cooling mode to accelerate indoor air circulation, reduce indoor temperature, and ensure user comfort.

[0068] Another specific embodiment is introduced below:

[0069] The smart home includes an air conditioner and a refrigerator. When the air conditioner's operating state changes from off to cooling mode, the predicted air parameter change indicates a decrease in air temperature. Without confirming the predicted air parameter change, the refrigerator's compressor operating frequency is directly controlled to decrease. When the air conditioner's operating state changes from off to heating mode, the predicted air parameter change indicates an increase in air temperature. Without confirming the predicted air parameter change, the refrigerator's compressor operating frequency is directly controlled to increase.

[0070] Changing the air conditioner's operating state from off to cooling mode inevitably results in a drop in air temperature. Therefore, the predicted air parameter change is a drop in air temperature, and there's no need to confirm the predicted air parameter change. This drop in air temperature improves the refrigerator's heat exchange efficiency, stabilizing the temperature inside. This can directly control the refrigerator to reduce the compressor's operating frequency, effectively reducing noise and energy consumption, and improving the user experience.

[0071] Changing the air conditioner's operating state from off to heating mode inevitably causes the air temperature to rise. Therefore, the predicted air parameter change is an increase in air temperature, and there is no need to confirm the predicted air parameter change. Rising air temperature reduces the refrigerator's cooling efficiency and increases the heat load inside the refrigerator. This can directly control the refrigerator to increase the operating frequency of the compressor to maintain the temperature inside the refrigerator and improve storage efficiency.

[0072] Another specific embodiment is introduced below:

[0073] The smart home includes an air conditioner and a shower head. When the shower head's operating state changes from off to on, the predicted air parameter change indicates an increase in air humidity. Without confirming the predicted air parameter change, the air conditioner is directly controlled to enter dehumidification mode.

[0074] The change of the sprinkler's operating state from off to on will inevitably lead to an increase in air humidity. Therefore, the predicted change in air parameters is an increase in air humidity. There is no need to confirm the predicted change in air parameters. The air conditioner can be directly controlled to turn on the dehumidification mode to ensure that the humidity of the indoor environment is appropriate and to avoid excessive humidity affecting the user's comfort experience.

[0075] It's important to emphasize that determining whether to confirm a predicted air parameter change requires consideration of not only the type of smart home appliance whose operating state has changed and the type of smart home appliance that requires adjustment due to its impact on indoor air parameters, but also the specific air parameters being predicted. For example, in the aforementioned embodiment, the smart home also includes a gas stove and an air conditioner. If the gas stove's operating state changes from off to on, one embodiment predicts a decrease in air quality, requiring confirmation; another embodiment predicts an increase in air temperature, requiring no confirmation.

[0076] In summary, the interconnected control method of the smart home of this embodiment directly adjusts other smart homes when there is no need to confirm the predicted air parameter changes; when it is necessary to confirm the predicted air parameter changes, if the actual air parameter changes of the detected indoor environment are consistent with the predicted air parameter changes, other smart homes are adjusted. When the actual air parameter changes are inconsistent with the predicted air parameter changes, the actual air parameter changes are repeatedly detected, and the operating status of the changed smart home continues to be monitored, so that the operating status of the interconnected smart home conforms to the current actual situation, fully meets the user's usage needs, and further improves the user's usage experience.

[0077] This embodiment also provides a smart home system, which includes multiple smart homes and may include a controller 300. Figure 3 FIG. 3 is a schematic block diagram of a controller 300 of a smart home system according to an embodiment of the present invention. Figure 3 As shown, the controller 300 may include: a processor 310 and a memory 320, wherein the memory 320 stores a machine executable program 321, and when the machine executable program 321 is executed by the processor 310, it is used to implement any of the above-mentioned smart home interconnection control methods.

[0078] The controller 300 can be used to control the operation of the smart home itself, as well as receive and send signals to other devices. For example, it can send signals to and receive signals from a mobile terminal. The processor 310 can be a central processing unit (CPU), a digital processing unit, etc. The processor 310 sends and receives data through a communication interface. The memory 320 is used to store a machine-executable program 321 executed by the processor 310. The memory 320 is any medium that can be used to carry or store desired program code in the form of instructions or data structures and can be accessed by a computer, and can also be a combination of multiple memories 320.

[0079] The machine executable program 321 for performing the operations of the present invention can be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state setting data, configuration data of an integrated circuit, or source code or object code written in any combination of one or more programming languages ​​and procedural programming languages.

[0080] The machine executable program 321 may be executed entirely on the user's computer, partially on the user's computer as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the latter case, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0081] In some embodiments, to implement various aspects of the present invention, electronic circuits including, for example, programmable logic circuits, field-programmable gate arrays (FPGAs), or programmable logic arrays (PLAs) may execute computer-readable program instructions by utilizing state information of the computer-readable program instructions to personalize the electronic circuits.

[0082] It should be noted that the interconnected control method of the smart home in this embodiment uses WiFi signals to monitor the operating status of multiple smart homes. When the operating status of a smart home changes, the predicted air parameter changes of the indoor environment are obtained, and it is determined whether the predicted air parameter changes need to be confirmed. When the judgment result is yes, the actual air parameter changes in the indoor environment are detected. When the actual air parameter changes are consistent with the predicted air parameter changes, other smart homes are adjusted. This can realize the interconnected control of multiple smart homes in the indoor environment, effectively improve the level of intelligence, save users' time and energy, and enhance the user experience.

[0083] In addition, the interconnected control method of the smart home in this embodiment directly adjusts other smart homes when there is no need to confirm the predicted air parameter changes; when it is necessary to confirm the predicted air parameter changes, if the actual air parameter changes of the detected indoor environment are consistent with the predicted air parameter changes, other smart homes are adjusted. When the actual air parameter changes are inconsistent with the predicted air parameter changes, the actual air parameter changes are repeatedly detected, and the operating status of the changed smart home continues to be monitored, so that the operating status of the interconnected smart home is consistent with the current actual situation, fully meets the user's usage needs, and further improves the user's usage experience.

[0084] This embodiment also provides a machine-readable storage medium 400, Figure 43 is a schematic diagram of a machine-readable storage medium 400 according to an embodiment of the present invention, wherein the machine-readable storage medium 400 stores a machine-executable program 321, which, when executed by the processor 310, implements the interconnected control method of the smart home in any of the above embodiments.

[0085] The machine-readable storage medium 400 of this embodiment can be an electronic memory such as a flash memory, an EEPROM (Electrically Erasable Programmable Read-Only Memory), an EPROM, a hard disk, or a ROM. The machine-readable storage medium 400 has storage space for a machine-executable program 321 for executing any of the method steps described above. These machine-executable programs 321 can be read from or written to one or more computer program products.

[0086] These computer program products include program code carriers such as hard disks, compact disks (CDs), memory cards or floppy disks. When the device where the machine-readable storage medium 400 is located runs the machine-executable program 321, each step of the method described above can be executed.

[0087] It should be noted that the logic and / or steps represented in the flowchart or described in other ways herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be specifically implemented in any machine-readable storage medium for use by an instruction execution system, device or equipment (such as a computer-based system, a system including a processor or other system that can fetch instructions from an instruction execution system, device or equipment and execute instructions), or used in combination with these instruction execution systems, devices or equipment.

[0088] It should be understood that each part of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system.

[0089] In the description of the present embodiment, reference to the terms "one embodiment," "some embodiments," "illustrative embodiments," "example," "specific example," or "some examples" means that the specific features, structures, materials, or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the exemplary expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any appropriate manner in any one or more embodiments or examples.

[0090] At this point, those skilled in the art will recognize that, although a number of exemplary embodiments of the present invention have been shown and described in detail herein, many other variations or modifications consistent with the principles of the present invention may be directly determined or derived from the disclosure of the present invention without departing from the spirit and scope of the present invention. Therefore, the scope of the present invention should be understood and deemed to cover all such other variations or modifications.

Claims

1. A smart home interconnection control method, comprising: Using WiFi signals to monitor the operating status of multiple smart homes; When the operating state of a certain smart home changes, obtaining predicted air parameter changes of the indoor environment; determining whether the predicted air parameter change needs to be confirmed; If so, detecting actual air parameter changes in the indoor environment; and When the actual air parameter change is consistent with the predicted air parameter change, other smart homes are adjusted.

2. The method according to claim 1, wherein When the actual air parameter change does not match the predicted air parameter change, the actual air parameter change is repeatedly detected while continuing to monitor the changed operating status of the smart home.

3. The method according to claim 1 , wherein the step of determining whether the predicted air parameter change needs to be confirmed comprises: Determine whether a change in the operating state of a smart home necessarily leads to a change in the predicted air parameters, and The air parameters of the indoor environment include: air temperature, air humidity, and air quality.

4. The method according to claim 3, wherein: The smart home includes: air conditioner and gas stove, When the operating state of the gas stove changes from off to on, the predicted air parameter change is that the air quality decreases, and the predicted air parameter change needs to be confirmed. When the actual air parameter change is consistent with the predicted air parameter change, the air conditioner is controlled to turn on the fresh air mode.

5. The method according to claim 3, wherein: When there is no need to confirm the predicted air parameter changes, other smart home appliances are directly adjusted.

6. The method according to claim 5, wherein: The smart home includes: air conditioner and gas stove, When the operating state of the gas stove changes from off to on, the predicted air parameter change is an increase in the air temperature, and the air conditioner is directly controlled to turn on the air supply mode or the cooling mode without confirming the predicted air parameter change.

7. The method according to claim 5, wherein: The smart home includes: an air conditioner and a refrigerator, When the operating state of the air conditioner changes from off to on cooling mode, the predicted change in air parameters is a decrease in air temperature, and the refrigerator is directly controlled to reduce the operating frequency of the compressor without confirming the predicted change in air parameters; When the operating state of the air conditioner changes from off to on heating mode, the predicted air parameter change is an increase in the air temperature, and there is no need to confirm the predicted air parameter change, and the refrigerator is directly controlled to increase the operating frequency of the compressor.

8. The method according to claim 5, wherein The smart home includes: air conditioner and shower head, When the running state of the shower changes from off to on, the predicted change in the air parameter is that the air humidity increases, and the air conditioner is directly controlled to turn on the dehumidification mode without confirming the predicted change in the air parameter.

9. A smart home system comprising a plurality of smart homes and comprising: A controller comprising a memory and a processor, wherein the memory stores a machine executable program, and when the machine executable program is executed by the processor, the interconnected control method of the smart home according to any one of claims 1 to 8 is implemented.

10. A machine-readable storage medium having a machine-executable program stored thereon, wherein when the machine-executable program is executed by a processor, the method for interconnected control of a smart home according to any one of claims 1 to 8 is implemented.

Images