Remote control method for home appliances

Abstract

The present invention provides a remote control method for home appliances, including determining the control demand range, function and quantity of home appliances, setting control instructions; detecting the state of home appliances through wireless communication technology, and determining the state; the detection content should include the switch state and working mode of the home appliances; arranging the detection results in a database; establishing a home appliance control model in a user interface; using an intelligent algorithm to process data and generate control instructions; using a cloud platform to transmit remote control instructions; and generating a control interface that can be operated by the user end. The present invention can improve the convenience, safety and energy efficiency of home appliance control and enhance user experience.

Description

Technical Field

[0001] The present invention relates to the field of smart home technology, and more specifically, to a remote control method for home appliances. Background Art

[0002] In the field of smart home, with the continuous advancement of science and technology, people are increasingly pursuing a convenient and intelligent lifestyle. Although the existing home appliance remote control technology has realized the remote operation of home appliances to a certain extent, there are still some problems and shortcomings. For example, some systems are relatively simple in setting control instructions and cannot meet the diverse control needs of users; in terms of status monitoring, the existing technology may not be able to accurately reflect the working status of home appliances in real time, resulting in limited response speed and accuracy of control instructions; in addition, the design of the user interface is often not intuitive enough and the operation is complicated, which affects the user experience.

[0003] In the process of implementing the embodiments of the present invention, the inventors found that there are at least the following problems or defects in the prior art: first, the existing home appliance control method is not comprehensive enough in function setting and cannot cover all user needs for home appliance control; second, the detection and feedback mechanism of the home appliance status is not perfect, resulting in the user being unable to obtain accurate status information of the home appliance in real time; third, the intelligent algorithm has limited capabilities in data processing and instruction generation, which affects the efficiency and accuracy of control; finally, the stability and security of the cloud platform still need to be improved to ensure the reliability of remote control. Summary of the invention

[0004] The present invention provides a remote control method for household appliances, comprising:

[0005] Step 1: Determine the required scope, functions and quantity of home appliance control and set control instructions;

[0006] Step 2: Detect the state of the home appliance through wireless communication technology and make a state determination; the detection content should include the switch state and working mode of the home appliance;

[0007] Step 3, arranging the test results in a database;

[0008] Step 4, establishing a home appliance control model in the user interface;

[0009] Step 5: Use intelligent algorithms to process data and generate control instructions;

[0010] Step 6: Using the cloud platform to transmit remote control instructions;

[0011] Step 7: Generate a control interface that can be operated by the user.

[0012] Furthermore, in step 1, based on the home appliance usage environment and user needs, in accordance with the principle of "convenient operation and safe use", cooperate with the user to set the home appliance control needs, determine the number, function, and location of each home appliance control, and the number of control command settings should not be less than 10.

[0013] Furthermore, in step 2, Wi-Fi or Bluetooth technology is used, equipped with corresponding communication modules, to continuously monitor the status of home appliances through the user's mobile device; the status of home appliances is divided into four conditions: on, off, standby and fault, and the status is divided into three levels: normal, warning and emergency according to the degree of impact of the working status of the home appliances on the user's use.

[0014] Furthermore, in step 3, a detailed list of status detection of each home appliance control is compiled, and the detection results such as the home appliance model, control number, current status, working mode, fault code, and analysis results such as control requirements, safety level, priority, etc. are stored in the database in order according to the control number, to prepare for the accuracy and response speed of subsequent remote control of home appliances.

[0015] Further, in step 4, the following steps may be performed in sequence in the user interface: Step 4.1: Determine the layout and interaction logic of the home appliance control model in the user interface;

[0016] Step 4.2: Create home appliance control icons and buttons and integrate them into the user interface;

[0017] Step 4.3: Implement a visual display of home appliance control in the user interface, including the real-time status and control options of the home appliances;

[0018] Step 4.4: Implement interactive operations between users and home appliances, including sending control commands and receiving feedback information.

[0019] Furthermore, in step 5, the following steps may be performed in sequence using an intelligent algorithm:

[0020] Step 5.1: Optimize the user interface UI;

[0021] Step 5.2: Read the home appliance status data sorted in step 3;

[0022] Step 5.3: Filter the specific status of each appliance according to the appliance control number;

[0023] Step 5.4: Perform home appliance state conversion, control command generation and fault diagnosis;

[0024] Step 5.5: Generate home appliance control instruction set;

[0025] Step 5.6: Send control instructions to home appliances.

[0026] Furthermore, in step 6, the generated home appliance control instructions are transmitted using the cloud platform, and the following steps may be performed in sequence:

[0027] Step 6.1: Log in to the cloud platform, enter the control panel through the user account, click the "Send Command" button in the command transmission page, and then enter the home appliance control command;

[0028] Step 6.2: After the control command is sent successfully, the home appliance receives and executes the command to achieve remote control;

[0029] Step 6.3: The execution results of the home appliance are fed back to the cloud platform and the user is notified.

[0030] Furthermore, in step 7, a mobile application development tool is used to generate a user-operable control interface. Users can remotely control home appliances on mobile devices by scanning QR codes or clicking on links to download mobile applications. After clicking on the home appliance icon and selecting the corresponding control option, the real-time status and historical operation records of the home appliances can be viewed in the "Control Details" of the user interface, thereby improving the convenience of home appliance control and user experience.

[0031] Furthermore, in step 2, when the home appliance status monitoring is performed using Wi-Fi or Bluetooth technology, the energy consumption and efficiency of the home appliance are calculated:

[0032]

[0033] in: It represents the total energy consumption of all household appliances during the monitoring period; Indicates The power of the appliance; Indicates The working time of the household appliance during the monitoring period; Indicates the number of monitored appliances.

[0034] Furthermore, in step 4, the home appliance control model is established as:

[0035]

[0036] in:

[0037] It represents the energy efficiency index of household appliances, which is used to measure the energy efficiency of household appliances under remote control;

[0038] Indicates The average power of the household appliance during the monitoring period;

[0039] Indicates The average working time of the household appliances during the monitoring period;

[0040] Indicates the number of monitored appliances;

[0041] Indicates The reciprocal of the average response time of a control instruction is used to measure the execution efficiency of the control instruction;

[0042] Indicates The complexity of a control instruction is quantified according to the number of home appliances involved in the control instruction and the complexity of the control logic;

[0043] Indicates the number of control instructions issued.

[0044] According to the above embodiments of the present invention, at least the following beneficial effects are achieved: the remote control method for home appliances provided by the present invention can significantly improve the intelligent level of home appliance control and user experience through a series of innovative steps. First, the method realizes real-time monitoring of the state of home appliances through wireless communication technology, which can ensure that users can timely understand the working state of home appliances, including switch state, working mode and whether there is a fault. Secondly, the home appliance data is deeply processed by intelligent algorithms to generate accurate control instructions, which can improve the response speed and accuracy of home appliance control. In addition, the transmission of control instructions through the cloud platform can enhance the stability and security of the control process, ensuring that users can achieve efficient control of home appliances no matter where they are. Further, the present invention is also optimized in user interface design, providing an intuitive home appliance control model and interactive logic, so that users can achieve control of home appliances through simple operations. At the same time, through the control interface generated by the mobile application development tool, users can easily control home appliances on mobile devices, view the real-time status and historical operation records of home appliances, and improve the convenience of operation and the flexibility of home appliance use. In addition, the present invention also takes into account the energy consumption and efficiency of home appliances, and helps users better manage the use of home appliances and achieve energy conservation and emission reduction by calculating the energy consumption and efficiency of home appliances. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The above and other objects, features and advantages of the exemplary embodiments of the present invention will become readily understood by reading the detailed description below with reference to the accompanying drawings. In the accompanying drawings, several embodiments of the present invention are shown in an exemplary and non-limiting manner, in which:

[0046] Figure 1 A schematic diagram of a flow chart of a remote control method for home appliances provided by an embodiment of the present invention;

[0047] Figure 2A schematic diagram of a flow chart of a remote control method for home appliances provided by an embodiment of the present invention;

[0048] Figure 3 A schematic diagram of a flow chart of a remote control method for home appliances provided by an embodiment of the present invention;

[0049] Figure 4 A schematic flow chart of a remote control method for home appliances provided in one embodiment of the present invention. DETAILED DESCRIPTION

[0050] The principles and spirit of the present invention will be described below with reference to several exemplary embodiments. It should be understood that these embodiments are provided only to enable those skilled in the art to better understand and implement the present invention, and are not intended to limit the scope of the present invention in any way. On the contrary, these embodiments are provided to make the present invention more thorough and complete, and to fully convey the scope of the present invention to those skilled in the art.

[0051] Those skilled in the art know that the embodiments of the present invention can be implemented as a system, device, apparatus, method or computer program product. Therefore, the present invention can be specifically implemented in the following forms, namely: complete hardware, complete software (including firmware, resident software, microcode, etc.), or a combination of hardware and software.

[0052] It should be noted that any number of elements in the drawings is for illustration rather than limitation, and any naming is only for distinction and does not have any limiting meaning.

[0053] Reference below Figure 1 , Figure 1 FIG. 1 is a schematic diagram of a remote control method for household appliances provided by an embodiment of the present invention. Figure 1 As shown, a remote control method 100 for a home appliance includes:

[0054] Step 1: Determine the required scope, functions and quantity of home appliance control and set control instructions;

[0055] Step 2: Detect the state of the home appliance through wireless communication technology and make a state determination; the detection content should include the switch state and working mode of the home appliance;

[0056] Step 3, arranging the test results in a database;

[0057] Step 4, establishing a home appliance control model in the user interface;

[0058] Step 5: Use intelligent algorithms to process data and generate control instructions;

[0059] Step 6: Using the cloud platform to transmit remote control instructions;

[0060] Step 7: Generate a control interface that can be operated by the user.

[0061] It should be noted that the home appliance remote control method not only considers the setting of control requirements, but also includes status detection, data processing, command generation, cloud platform transmission and user interface creation. This series of steps together constitutes a complete system to ensure that the remote control of home appliances is both flexible and efficient.

[0062] Specifically, for example, determining the scope, functions and quantity of home appliance control requirements means setting a unique identification number for each home appliance, and configuring at least 10 different control instructions based on the home environment and user habits, such as switch control, temperature adjustment, timing operation, etc. At the same time, according to the principles of security and convenience, appropriate communication technologies such as Wi-Fi or Bluetooth will be selected, and corresponding security protocols will be established to protect user data.

[0063] Preferably, in step 2, the detection of the switch status and working mode of the home appliance will use high-precision sensors and algorithms to ensure the accuracy of the data. For example, the Wi-Fi module will be configured with a specific protocol stack to optimize the communication efficiency with the home appliance, while Bluetooth technology is used for low-power devices to extend battery life. The status determination will comprehensively consider the actual use of the home appliance, such as operating time, energy consumption data, etc., to achieve intelligent fault warning and emergency response. In addition, the status monitoring data will be updated in real time to the database for subsequent data analysis and instruction optimization.

[0064] In some embodiments, in step 1, based on the home appliance usage environment and user needs, in accordance with the principles of convenient operation and safe use, cooperate with the user to set the home appliance control needs, determine the number, function, and location of each home appliance control, and the number of control command settings should not be less than 10.

[0065] It should be noted that "convenient operation" means designing an intuitive user interface that allows users to control home appliances through simple touch or voice commands; while "safe use" involves ensuring data encryption during communication and permission management for home appliance operations. In addition, the number of control commands will be no less than 10, and each command will be targeted at a specific home appliance function, such as temperature adjustment of air conditioners, defrost mode of refrigerators, etc.

[0066] Preferably, a method is provided in step 1 to optimize the process of setting the control requirements of home appliances. For example, user surveys or data analysis can be used to determine the most common control requirements of home appliances, and then control instructions can be configured according to these requirements. In addition, a customization option can be provided to allow users to add or modify control instructions according to their specific needs. In order to improve the security of control, a multi-factor authentication mechanism can be implemented to ensure that only authorized users can send control instructions. When designing the user interface, a modular design can be adopted so that the control panels of different home appliances can be personalized according to user preferences.

[0067] In some embodiments, in step 2, Wi-Fi or Bluetooth technology is used and equipped with corresponding communication modules to continuously monitor the status of home appliances through the user's mobile device; the status of home appliances is divided into four conditions: on, off, standby and fault, and the status is divided into three levels: normal, warning and emergency according to the degree of impact of the working status of the home appliances on the user's use.

[0068] It should be noted that this implementation will provide a detailed description of "Wi-Fi or Bluetooth technology", including the model of the selected communication module, parameter settings, and compatibility with home appliances. For example, a Wi-Fi module that supports the 802.11ac standard can be selected to ensure high-speed data transmission, or a low-power Bluetooth 5.0 module can be selected to adapt to battery-powered home appliances. At the same time, the home appliance status is divided into four conditions: on, off, standby, and fault. These states are further subdivided into three levels: normal, warning, and emergency according to the degree of impact on user use, so that users can quickly identify the status of home appliances and take corresponding measures.

[0069] Preferably, an enhanced status monitoring solution will be provided in step 2. For example, a machine learning algorithm can be introduced to predict the working status of home appliances, so as to detect potential problems in advance. In addition, a threshold system can be set up. When the working status of the home appliance exceeds the normal range, the system will automatically adjust to a warning or emergency state and notify the user immediately. In order to improve the accuracy of monitoring, multi-sensor fusion technology can be used to combine multiple sensor data such as temperature, humidity, and current to comprehensively judge the status of home appliances. On the user's mobile device, a special application can be developed to display the status of home appliances through a graphical interface and provide one-click control and fault diagnosis functions.

[0070] In some embodiments, in step 3, a detailed list of status detection of each home appliance control is compiled, and the detection results such as the home appliance model, control number, current status, working mode, fault code, and analysis results such as control requirements, safety level, priority, etc. are stored in order in the database according to the control number, to prepare for the accuracy and response speed of subsequent remote control of home appliances.

[0071] It should be noted that organizing and storing the status detection results of home appliances in a database not only involves the collection of detection results, but also includes the classification, analysis and orderly storage of data to facilitate subsequent remote control operations.

[0072] Specifically, for example, information such as "home appliance model, control number, current status, working mode, fault code" will be collected and recorded. This information will be classified according to the control number to ensure the orderliness and easy retrieval of the data. At the same time, analysis results such as "control requirements, safety level, priority" will also be included in the database to facilitate more in-depth data analysis and the generation of control instructions.

[0073] Preferably, in step 3, an advanced database management system, such as MySQL or MongoDB, is used to store and manage the status detection data of the home appliances. Specific indexes and query optimization strategies can be set to improve the speed and efficiency of data retrieval. In addition, data encryption and access control mechanisms can be introduced to ensure the security of stored data and user privacy. In the process of data collation, automated scripts or programs can be used to reduce errors in manual input and improve the accuracy of data processing. In order to improve the availability of data, the database can be backed up regularly and data recovery can be performed when necessary.

[0074] like Figure 2 As shown, the feature is that, in step 4, the following steps can be performed in sequence in the user interface:

[0075] Step 4.1: Determine the layout and interaction logic of the home appliance control model in the user interface;

[0076] Step 4.2: Create home appliance control icons and buttons and integrate them into the user interface;

[0077] Step 4.3: Implement a visual display of home appliance control in the user interface, including the real-time status and control options of the home appliances;

[0078] Step 4.4: Implement interactive operations between users and home appliances, including sending control commands and receiving feedback information.

[0079] It should be noted that the process of using intelligent algorithms to process data and generate control instructions involves multiple links such as optimization of the user operation interface, reading, screening, state conversion, instruction generation and fault diagnosis of home appliance status data.

[0080] Specifically, intelligent algorithms include the type of algorithm used, parameter settings, and how to integrate with the home appliance control system. For example, machine learning algorithms can be used to analyze user habits to optimize the operation process of the user interface (UI). At the same time, the "home appliance control number" will be used to screen and identify the specific status of each home appliance. These status data will be read from the database and analyzed based on the current working mode and safety level of the home appliance.

[0081] Preferably, an advanced data processing and control instruction generation scheme is provided in step 5. For example, a predictive maintenance algorithm can be introduced to predict potential faults and generate maintenance instructions in advance by analyzing the historical status data of home appliances. In addition, an adaptive control system can be developed to dynamically adjust the control instructions according to the actual working status of the home appliances and the user's operating habits. In terms of user interface (UI) optimization, a responsive design can be adopted to ensure a good user experience on different devices and screen sizes. In terms of fault diagnosis, an expert system can be integrated to use a rule base to quickly identify the cause of the fault and provide a solution.

[0082] like Figure 3 As shown, in step 5, the following steps can be performed in sequence using the intelligent algorithm:

[0083] Step 5.1: Optimize the user interface UI;

[0084] Step 5.2: Read the home appliance status data sorted in step 3;

[0085] Step 5.3: Filter the specific status of each appliance according to the appliance control number;

[0086] Step 5.4: Perform home appliance state conversion, control command generation and fault diagnosis;

[0087] Step 5.5: Generate home appliance control instruction set;

[0088] Step 5.6: Send control instructions to home appliances.

[0089] It should be noted that the remote control command transmission process of the cloud platform not only includes the user sending control commands through the cloud platform, but also involves the execution feedback of the home appliances after receiving the commands.

[0090] Specifically, for example, logging into the cloud platform and entering the control panel through a user account means that the user needs to use the account information registered by the user to log in to the cloud service provider's platform. Clicking the Send Instruction button in the instruction transmission page involves an explicit operation on the user interface, through which the user triggers the sending process of the control instruction.

[0091] Preferably, for example, a real-time monitoring system can be introduced to allow users to view the transmission status of control instructions and the execution of home appliances in real time. In addition, a confirmation mechanism can be set to ensure that the home appliances perform the corresponding operations only after receiving the control instructions to avoid misoperation. In terms of security, end-to-end encryption technology can be used to protect data security during transmission. In the user interface, an intuitive dashboard can be provided to display the status and control history of all home appliances, allowing users to easily manage and monitor their home appliances.

[0092] like Figure 4 As shown, in step 6, the generated home appliance control instructions are transmitted using the cloud platform, and the following steps can be performed in sequence:

[0093] Step 6.1: Log in to the cloud platform, enter the control panel through the user account, click the Send Command button in the Command Transmission page, and then enter the home appliance control command;

[0094] Step 6.2: After the control command is sent successfully, the home appliance receives and executes the command to achieve remote control;

[0095] Step 6.3: The execution results of the home appliance are fed back to the cloud platform and the user is notified.

[0096] It should be noted that development tools include Android Studio or Xcode, etc., which are used to create mobile applications for different operating system platforms. The design of the control interface will take into account the user experience, including intuitive icons, button layouts, and easy-to-understand control options and status displays.

[0097] Preferably, an optimized mobile application control solution is provided in step 7. For example, augmented reality (AR) technology can be used to display the 3D model and control options of home appliances in real time through the camera of a mobile phone or tablet. In addition, a voice recognition function can be integrated to allow users to control home appliances through voice commands. In terms of user interface design, a variety of themes and layout options can be provided to meet the personalized needs of different users. In order to improve the convenience of control, a quick operation panel can be developed to allow users to execute commonly used control instructions with one click. In terms of security, biometric technologies such as fingerprint or facial recognition can be integrated to ensure that only authorized users can access the control interface.

[0098] In some embodiments, in step 7, a mobile application development tool is used to generate a user-operable control interface. The user can remotely control the home appliances on the mobile device by scanning a QR code or clicking a link to download a mobile application. After clicking the home appliance icon and selecting the corresponding control option, the user can view the real-time status and historical operation records of the home appliances in the control details in the user interface, thereby improving the convenience of home appliance control and user experience.

[0099] It should be noted that this embodiment describes in detail how to monitor the energy consumption and efficiency of household appliances through Wi-Fi or Bluetooth technology and calculate the total energy consumption. This not only involves the selection of monitoring technology, but also includes the setting of energy consumption calculation methods and parameters.

[0100] Specifically, this embodiment will explain in detail how to use Wi-Fi or Bluetooth technology to monitor the status of home appliances, and how to use these technologies to calculate the energy consumption and efficiency of home appliances. For example, each home appliance can be equipped with a smart socket or sensor, which communicates with the user's mobile device or central control system via Wi-Fi or Bluetooth to send real-time power and working time data of the home appliance.

[0101] Preferably, this embodiment will provide a more refined energy consumption monitoring solution in step 2. For example, an intelligent energy management system can be developed, which can automatically adjust the working state of home appliances to optimize energy consumption according to the usage patterns of home appliances and the living habits of users. In addition, an energy consumption threshold can be set. When the energy consumption of home appliances exceeds this threshold, the system will automatically send a notification to the user and provide energy-saving suggestions. In terms of data collection, high-precision sensors and data acquisition modules can be used to ensure the accuracy of energy consumption data. On the user interface, an energy consumption analysis chart can be provided, so that users can intuitively understand the energy consumption of their own home appliances and compare them with other users or standard energy consumption.

[0102] In some embodiments, in step 2, when the home appliance status monitoring is performed using Wi-Fi or Bluetooth technology, the energy consumption and efficiency of the home appliance are calculated:

[0103]

[0104] in: Represents the total energy consumption of all household appliances during the monitoring period (unit: kilowatt-hour, kWh); Indicates The power of the household appliance (unit: kilowatt, kW); Indicates The working time of the household appliance during the monitoring period (unit: hours, h); Indicates the number of monitored appliances.

[0105] It should be noted that this embodiment further describes a specific method for establishing a home appliance control model and a formula for calculating the home appliance energy efficiency index, which involves a quantitative evaluation of the energy efficiency of home appliances and a consideration of the efficiency and complexity of control instruction execution.

[0106] Preferably, this embodiment will provide a more detailed home appliance control model construction scheme in step 4. For example, a dynamic adjustment system can be developed to automatically adjust the operating parameters of home appliances based on real-time monitored home appliance usage data to optimize energy efficiency. In addition, a user feedback mechanism can be introduced to allow users to evaluate the energy efficiency of home appliances based on their own usage experience, and incorporate these data into the calculation of the energy efficiency index. In terms of the execution efficiency of control instructions, advanced algorithms can be used to reduce the average response time of control instructions and improve the response speed of the system. At the same time, the complexity of control instructions can be quantitatively evaluated to ensure the stability and reliability of the system. On the user interface, an energy efficiency monitoring dashboard can be provided to display real-time energy efficiency data and historical trends of home appliances to help users better manage home appliance usage.

[0107] In some embodiments, in step 4, the home appliance control model is established as follows:

[0108]

[0109] in:

[0110] It represents the energy efficiency index of household appliances, which is used to measure the energy efficiency of household appliances under remote control;

[0111] Indicates The average power of the household appliance during the monitoring period (unit: kilowatt, kW);

[0112] Indicates The average working time of the household appliance during the monitoring period (unit: hours, h);

[0113] Indicates the number of monitored appliances;

[0114] Indicates The reciprocal of the average response time of a control instruction, used to measure the execution efficiency of the control instruction (unit: times / second);

[0115] Indicates The complexity of a control instruction is quantified according to the number of home appliances involved in the control instruction and the complexity of the control logic (dimensionless);

[0116] Indicates the number of control instructions issued.

[0117] It should be noted that this embodiment describes in detail how to calculate the energy efficiency of household appliances and the execution efficiency of control instructions through specific formulas, which involves comprehensive consideration of the average power, working time, and control instruction response time and complexity of household appliances.

[0118] Preferably, this embodiment will provide a more sophisticated home appliance control model in step 4. For example, an adaptive algorithm can be introduced to dynamically adjust the operating parameters of home appliances to achieve optimal energy efficiency. At the same time, an intelligent scheduling system can be developed to automatically optimize the order and frequency of sending instructions according to the complexity and execution efficiency of the control instructions. On the user interface, a detailed energy consumption and efficiency report can be provided to display the energy efficiency index of each home appliance and the execution status of the control instructions, helping users to better understand the performance of home appliances. In addition, an early warning system can be set up. When the energy efficiency of the home appliance is lower than the preset threshold or the execution efficiency of the control instruction decreases, the system will automatically remind the user to make adjustments or maintenance.

[0119] The above-mentioned embodiments of the present invention have the following beneficial effects: through the household appliance remote control method of the present invention, users can experience a more intelligent and personalized household appliance management method. First, the method realizes real-time monitoring of the status of household appliances through wireless communication technology, which can ensure that users can obtain information such as the switch status and working mode of household appliances in a timely manner, thereby improving the convenience and safety of household appliances. Secondly, the intelligent algorithm is used to perform in-depth analysis on household appliance data and generate accurate control instructions, which can further improve the response speed and accuracy of control. In addition, the use of the cloud platform provides stability and security for the transmission of remote control instructions, and the optimized design of the user interface makes the operation more intuitive and user-friendly. Further, the implementation of the present invention also brings about a significant improvement in energy efficiency management and user experience. By calculating the energy consumption and efficiency of household appliances, users can more clearly understand the energy consumption of household appliances, which is conducive to energy saving, emission reduction and cost control. At the same time, the established household appliance control model not only takes into account the energy consumption efficiency of household appliances, but also includes the execution efficiency and complexity of control instructions, making the remote control of household appliances more efficient and intelligent. Ultimately, users can easily remotely operate home appliances through the control interface on their mobile devices and enjoy a more comfortable and convenient smart home life.

[0120] It should be noted that some embodiments of the present disclosure may also include a computer-readable medium, and the computer-readable storage medium may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In some embodiments of the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, device or device. In some embodiments of the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, in which a computer-readable program code is carried. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer readable signal media may also be any computer readable medium other than computer readable storage media, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0121] In some embodiments, the client and the server may communicate using any currently known or future developed network protocol such as HTTP (HyperText Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.

[0122] The computer-readable medium may be included in the electronic device; or it may exist alone without being assembled into the electronic device. The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each box in the flowchart or block diagram may represent a module, a program segment, or a part of a code, which contains one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions marked in the box may also occur in an order different from that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they may sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart, can be implemented with a dedicated hardware-based system that performs the specified functions or operations, or can be implemented with a combination of dedicated hardware and computer instructions.

[0123] The units described in some embodiments of the present disclosure may be implemented in software or in hardware. The units described may also be provided in a processor, and the functions described above herein may be at least partially performed by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0124] The above description is only some preferred embodiments of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present disclosure is not limited to the technical solutions formed by the specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above inventive concept. For example, the above features are replaced with the technical features with similar functions disclosed in the embodiments of the present disclosure (but not limited to). The above description is only some preferred embodiments of the present invention and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present disclosure is not limited to the technical solutions formed by the specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above inventive concept. For example, the above features are replaced with the technical features with similar functions disclosed in the embodiments of the present disclosure (but not limited to).

Claims

1. A remote control method for household appliances, characterized in that: The method comprises the following steps: Step 1: Determine the required scope, functions and quantity of home appliance control and set control instructions; Step 2: Detect the state of the home appliance through wireless communication technology and make a state determination; the detection content should include the switch state and working mode of the home appliance; Step 3, arranging the test results in a database; Step 4: Establish a home appliance control model in the user interface; the home appliance control model is: in: It represents the energy efficiency index of household appliances, which is used to measure the energy efficiency of household appliances under remote control; Indicates The average power of the household appliance during the monitoring period; Indicates The average working time of the household appliances during the monitoring period; Indicates the number of monitored appliances; Indicates The reciprocal of the average response time of a control instruction is used to measure the execution efficiency of the control instruction; Indicates The complexity of a control instruction is quantified according to the number of home appliances involved in the control instruction and the complexity of the control logic; Indicates the number of control instructions issued; Step 5: Use intelligent algorithms to process data and generate control instructions; Step 6: Using the cloud platform to transmit remote control instructions; Step 7: Generate a control interface that can be operated by the user.

2. The remote control method for home appliances according to claim 1, characterized in that: In step 1, based on the home appliance usage environment and user needs, in accordance with the principle of "convenient operation and safe use", cooperate with users to set home appliance control needs, determine the number, function, and location of each home appliance control, and the number of control command settings should not be less than 10.

3. The remote control method for home appliances according to claim 1, characterized in that: In step 2, Wi-Fi or Bluetooth technology is used, equipped with corresponding communication modules, to continuously monitor the status of home appliances through the user's mobile device; the status of home appliances is divided into four conditions: on, off, standby and fault, and the status is divided into three levels: normal, warning and emergency according to the degree of impact of the working status of the home appliances on the user's use.

4. The remote control method for home appliances according to claim 1, characterized in that: In step 3, a detailed list of status detection of each home appliance control is compiled, and the detection results such as the home appliance model, control number, current status, working mode, fault code, and analysis results such as control requirements, safety level, and priority are stored in the database in order according to the control number, in preparation for the accuracy and response speed of subsequent remote control of home appliances.

5. The remote control method for home appliances according to claim 1, characterized in that: In step 4, the following steps may be performed in sequence in the user interface: Step 4.1: Determine the layout and interaction logic of the home appliance control model in the user interface; Step 4.2: Create home appliance control icons and buttons and integrate them into the user interface; Step 4.3: Implement a visual display of home appliance control in the user interface, including the real-time status and control options of the home appliances; Step 4.4: Implement interactive operations between users and home appliances, including sending control commands and receiving feedback information.

6. The remote control method for home appliances according to claim 1, characterized in that: In step 5, the following steps can be performed in sequence using the intelligent algorithm: Step 5.1: Optimize the user interface UI; Step 5.2: Read the home appliance status data sorted in step 3; Step 5.3: Filter the specific status of each appliance according to the appliance control number; Step 5.4: Perform home appliance state conversion, control command generation and fault diagnosis; Step 5.5: Generate home appliance control instruction set; Step 5.6: Send control instructions to home appliances.

7. The remote control method for home appliances according to claim 1, characterized in that: In step 6, the generated home appliance control instructions are transmitted using the cloud platform, and the following steps can be performed in sequence: Step 6.1: Log in to the cloud platform, enter the control panel through the user account, click the "Send Command" button in the command transmission page, and then enter the home appliance control command; Step 6.2: After the control command is sent successfully, the home appliance receives and executes the command to achieve remote control; Step 6.3: The execution results of the home appliance are fed back to the cloud platform and the user is notified.

8. The remote control method for home appliances according to claim 1, characterized in that: In step 7, a mobile application development tool is used to generate a user-operable control interface. Users can scan the QR code or click a link to download the mobile application to remotely control the home appliances on the mobile device. After clicking the home appliance icon and selecting the corresponding control option, the real-time status and historical operation records of the home appliance can be viewed in the "Control Details" of the user interface, thereby improving the convenience of home appliance control and user experience.

9. The remote control method for home appliances according to claim 3, characterized in that: In step 2, when using Wi-Fi or Bluetooth technology to monitor the status of home appliances, it also includes calculating the energy consumption and efficiency of the home appliances: in: It represents the total energy consumption of all household appliances during the monitoring period; Indicates The power of the appliance; Indicates The working time of the household appliance during the monitoring period; Indicates the number of monitored appliances.

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