Energy-saving suggestion generation method and device for household appliance, equipment and medium

Abstract

The embodiment of the invention provides an energy-saving suggestion generation method and device for a household appliance, equipment and a medium, and the method comprises the steps: constructing an energy-saving suggestion rule for a target household appliance, and enabling the energy-saving suggestion rule to comprise energy-saving suggestion information related to an energy-saving influence factor; obtaining one or more target energy-saving influence factors of the target household appliance; and determining energy-saving suggestion information matched with the one or more target energy-saving influence factors in the energy-saving suggestion rule. Through the embodiment of the invention, the matched energy-saving suggestion information is generated based on the obtained energy-saving influence factors, so that effective suggestions are provided for the user to use the household appliances, the household energy efficiency is improved, and the user can be effectively guided to develop a good energy-saving habit.

Description

Technical Field

[0001] The present invention relates to the technical field of household appliance control, and in particular to a method, device, equipment and medium for generating energy-saving suggestions for household appliances. Background Art

[0002] In modern families, with the popularization of smart devices, the types and quantities of home appliances involved in the home are increasing. At the same time, the energy consumption problem of various home appliances is becoming increasingly prominent.

[0003] In daily life, the devices used in the home, such as air conditioners, lighting, and home appliances, account for a large amount of energy consumption in daily life. At the same time, users often lack knowledge and practice on how to effectively save energy, which leads to high household electricity consumption, high cost of home appliance use, and waste of energy. Summary of the invention

[0004] In view of the above problems, a method and apparatus, device, and medium for generating energy-saving suggestions for household appliances are proposed to overcome the above problems or at least partially solve the above problems, including:

[0005] A method for generating energy-saving suggestions for household appliances, the method comprising:

[0006] Constructing energy-saving suggestion rules for target household electrical appliances, wherein the energy-saving suggestion rules include energy-saving suggestion information associated with energy-saving influencing factors;

[0007] Obtain one or more target energy-saving influencing factors of the target household appliance;

[0008] Energy-saving suggestion information matching the one or more target energy-saving influencing factors is determined in the energy-saving suggestion rule.

[0009] Optionally, the determining, in the energy-saving suggestion rule, energy-saving suggestion information matching the one or more target energy-saving influencing factors includes:

[0010] The one or more target energy-saving influencing factors are input into a preset energy-saving suggestion generation model for household appliances to generate energy-saving suggestion information matching the target energy-saving influencing factors, wherein the energy-saving suggestion generation model for household appliances is a model that learns the relationship between energy-saving influencing factors and energy-saving suggestion information based on the energy-saving suggestion rules.

[0011] Optionally, the target energy-saving influencing factor includes a user intention category, and the acquiring one or more target energy-saving influencing factors of the target home appliance includes:

[0012] In response to an input operation on the input interface of the energy-saving suggestion generating system for home appliances for the target home appliance, determining input data corresponding to the input operation;

[0013] Determining initial text information corresponding to the input data;

[0014] determining keywords in the initial text information;

[0015] A user intention category is determined based on the keyword, where the user intention category is used to characterize the user's energy-saving demand for the target home appliance.

[0016] Optionally, the determining the initial text information corresponding to the input data includes:

[0017] When the input data is voice data, a preset voice recognition model is called to convert the voice data into text information.

[0018] Optionally, determining keywords in the initial text information includes:

[0019] Acquiring context information of the input data and / or user preference information;

[0020] Perform word segmentation processing on the initial text data based on the context information and / or the user preference information to obtain word segmentation information

[0021] A keyword is determined from the word segmentation information.

[0022] Optionally, the target energy-saving influencing factor includes environmental information, and the step of obtaining one or more target energy-saving influencing factors of the target household appliance includes:

[0023] Determining one or more target sensors associated with the target home appliance;

[0024] The sensor data corresponding to the one or more target sensors are acquired, and the environmental information of the target household appliance is determined by using the sensor data.

[0025] Optionally, the target energy-saving influencing factor includes device state information, and the acquiring one or more target energy-saving influencing factors of the target household appliance includes:

[0026] The API interface of the target home appliance is called, and the device status of the target home appliance is obtained through the API interface.

[0027] Optionally, it also includes:

[0028] Obtaining feedback information regarding the energy-saving suggestion information;

[0029] The energy saving suggestion rule is adjusted based on the feedback information.

[0030] Optionally, the obtaining feedback information for the energy-saving suggestion information includes:

[0031] Acquire first energy consumption information of the target household appliance before applying the energy-saving suggestion information and second energy consumption information of the target household appliance before applying the energy-saving suggestion information;

[0032] Determine implementation effect information of the energy-saving suggestion information in combination with the first energy consumption information and the second energy consumption information;

[0033] Obtaining information on the implementation effect of the energy-saving suggestion information by the target user;

[0034] The implementation effect information and / or the implementation effect information is used as feedback information of the energy-saving suggestion information.

[0035] Optionally, it also includes:

[0036] Generate a visual dynamic chart based on the energy-saving suggestion information;

[0037] The visual dynamic chart is sent to the target user for display.

[0038] A device for generating energy-saving suggestions for household appliances, the device comprising:

[0039] A rule building module, used to build an energy-saving suggestion rule for a target household appliance, wherein the energy-saving suggestion rule includes energy-saving suggestion information associated with energy-saving influencing factors;

[0040] An energy-saving influencing factor acquisition module, used to acquire one or more target energy-saving influencing factors of the target household appliance;

[0041] The energy-saving suggestion information determination module is used to determine the energy-saving suggestion information matching the one or more target energy-saving influencing factors in the energy-saving suggestion rule.

[0042] An electronic device comprises a processor, a memory and a computer program stored in the memory and capable of running on the processor, wherein when the computer program is executed by the processor, the method for generating energy-saving suggestions for household appliances as described above is implemented.

[0043] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for generating energy-saving suggestions for household appliances as described above is implemented.

[0044] The embodiments of the present invention have the following advantages:

[0045] In an embodiment of the present invention, an energy-saving suggestion rule for a target household appliance can be constructed, the energy-saving suggestion rule including energy-saving suggestion information associated with energy-saving influencing factors; and one or more target energy-saving influencing factors of the target household appliance are obtained; and then, energy-saving suggestion information matching the one or more target energy-saving influencing factors can be determined in the energy-saving suggestion rule, thereby realizing rapid generation of matching energy-saving suggestion information based on the acquired energy-saving influencing factors, so as to provide effective suggestions for users to use household appliances, improve household energy efficiency, and effectively guide users to develop good energy-saving habits. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solution of the present invention, the accompanying drawings required for use in the description of the present invention will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative labor.

[0047] Figure 1 is a flowchart of a method for generating energy-saving suggestions for household appliances provided by an embodiment of the present invention;

[0048] Figure 2 is a flowchart of another method for generating energy-saving suggestions for household appliances provided by an embodiment of the present invention;

[0049] Figure 3 is a flowchart of another method for generating energy-saving suggestions for household appliances provided by an embodiment of the present invention;

[0050] Figure 4 is a flowchart of another method for generating energy-saving suggestions for household appliances provided by an embodiment of the present invention;

[0051] Figure 5 is a schematic diagram of an interactive energy-saving suggestion generating system provided by an embodiment of the present invention;

[0052] Figure 6 It is a structural schematic diagram of an energy-saving suggestion generating device for household appliances provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0053] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0054] Reference Figure 1 , shows a flowchart of a method for generating energy-saving suggestions for household appliances provided by an embodiment of the present invention, which may specifically include the following steps:

[0055] Step 101, constructing an energy-saving suggestion rule for a target household appliance, wherein the energy-saving suggestion rule includes energy-saving suggestion information associated with energy-saving influencing factors;

[0056] In practical applications, in order to achieve energy-saving management of home appliances, energy-saving suggestion rules for target home appliances can be pre-set, and the energy-saving suggestion rules can include energy-saving suggestion information associated with energy-saving influencing factors, wherein the energy-saving suggestion information can specifically include energy-saving control performed on specific home appliance types, for example, it can be set that when the indoor temperature is higher than a preset temperature, the air conditioner is controlled to be turned off or the air conditioner temperature is adjusted to a preset temperature. Among them, the indoor temperature is a type of energy-saving influencing factor, and the energy-saving measure is to turn off the air conditioner or adjust the air conditioner temperature to a preset temperature.

[0057] Step 102, obtaining one or more target energy-saving influencing factors of the target household appliance;

[0058] In the embodiment of the present invention, some energy-saving influencing factors associated with energy saving of household appliances may be preset, wherein the target energy-saving influencing factors may include any one or more of the following:

[0059] User intent category, environmental information, device status information, user preference information, and contextual information.

[0060] The user intention category is used to characterize the user's energy-saving needs for the target home appliance. For example, the user presets that the bedroom air conditioner will be turned off after 30 minutes. Environmental information is used to describe the environment around the target home appliance, such as the temperature, humidity, brightness and other information in the environment where the target home appliance is located. Device status information may include but is not limited to real-time energy consumption information and working status information of the target home appliance. User preference information may be the home appliance usage preferences set by the user or the user preference information obtained based on the analysis of the user's previous use of the home appliance. Scenario information may be scenarios set by the user for different home appliance usage needs, or some specific scenarios, such as setting different scenario modes for weekdays, weekends, holidays, etc. In various scenario modes, energy-saving suggestion information may be set according to the needs of each home appliance in the scenario.

[0061] In an embodiment of the present invention, the target energy-saving influencing factor includes environmental information, and the step of obtaining one or more target energy-saving influencing factors of the target household appliance includes:

[0062] Determine one or more target sensors associated with the target home appliance; obtain sensor data corresponding to the one or more target sensors, and use the sensor data to determine environmental information of the target home appliance.

[0063] In actual applications, the location of the household appliance can be determined, and multiple associated target sensors in the indoor space where the location is located can be determined based on the location of the household appliance. For example, the associated sensors corresponding to the air conditioner in the bedroom may include a temperature sensor for detecting the temperature of the bedroom, a humidity sensor for detecting the humidity of the bedroom, a light sensor for detecting the light in the bedroom, and the like.

[0064] After the target sensor is determined, the data of the corresponding target sensor can be obtained. In an actual home network, the sensor data of the target sensor can be transmitted to the central control system using a wireless protocol (such as Zigbee or Wi-Fi) to obtain the sensor data of the target sensor.

[0065] In one embodiment of the present invention, the target energy-saving influencing factors include device status information, and obtaining one or more target energy-saving influencing factors of the target home appliance includes: calling the API interface of the target home appliance, and obtaining the device status of the target home appliance through the API interface.

[0066] In practical applications, an API interface for communicating with one or more household appliances can be pre-set in an interactive energy-saving suggestion generation system that applies the energy-saving suggestion generation method for household appliances in the embodiment of the present invention, and the device status of the target household appliance can be obtained through the API interface.

[0067] Step 103: determine energy-saving suggestion information matching the one or more target energy-saving influencing factors in the energy-saving suggestion rule.

[0068] After obtaining one or more target energy-saving influencing factors, a comprehensive analysis can be performed based on one or more target node influencing factors, and matching energy-saving suggestion information can be determined from the constructed energy-saving suggestion rules. Energy-saving control of home appliances can then be performed based on the determined energy-saving suggestion information, thereby improving home energy efficiency and effectively guiding users to develop good energy-saving habits.

[0069] In one embodiment of the present invention, the method further includes: generating a visual dynamic chart based on the energy-saving suggestion information; and sending the visual dynamic chart to the target user for display.

[0070] In actual applications, the generated energy-saving suggestion information can be displayed in a preset way. For example, the user uses the visualization function on the operation interface of the interactive energy-saving suggestion generation system, and then the visualization generation component can be called based on the energy-saving suggestion information to generate dynamic icons, etc. The visualization dynamic chart can be sent to the associated target users for display.

[0071] In an embodiment of the present invention, an energy-saving suggestion rule for a target household appliance can be constructed, the energy-saving suggestion rule including energy-saving suggestion information associated with energy-saving influencing factors; and one or more target energy-saving influencing factors of the target household appliance are obtained; and then, energy-saving suggestion information matching the one or more target energy-saving influencing factors can be determined in the energy-saving suggestion rule, thereby realizing rapid generation of matching energy-saving suggestion information based on the acquired energy-saving influencing factors, so as to provide effective suggestions for users to use household appliances, improve household energy efficiency, and effectively guide users to develop good energy-saving habits.

[0072] Reference Figure 2 , shows a flowchart of another method for generating energy-saving suggestions for household appliances provided by an embodiment of the present invention, which may specifically include the following steps:

[0073] Step S201, constructing an energy-saving suggestion rule for a target household appliance, wherein the energy-saving suggestion rule includes energy-saving suggestion information associated with energy-saving influencing factors;

[0074] In practical applications, in order to achieve energy-saving management of home appliances, energy-saving suggestion rules for target home appliances can be pre-set, and the energy-saving suggestion rules can include energy-saving suggestion information associated with energy-saving influencing factors, wherein the energy-saving suggestion information can specifically include energy-saving control performed on specific home appliance types, for example, it can be set that when the indoor temperature is higher than a preset temperature, the air conditioner is controlled to be turned off or the air conditioner temperature is adjusted to a preset temperature. Among them, the indoor temperature is a type of energy-saving influencing factor, and the energy-saving measure is to turn off the air conditioner or adjust the air conditioner temperature to a preset temperature.

[0075] Step S202, obtaining one or more target energy-saving influencing factors of the target household appliance;

[0076] In the embodiment of the present invention, some energy-saving influencing factors associated with energy saving of household appliances may be preset, wherein the target energy-saving influencing factors may include any one or more of the following:

[0077] User intent category, environmental information, device status information, user preference information, and contextual information.

[0078] The user intention category is used to characterize the user's energy-saving needs for the target home appliance. For example, the user presets that the bedroom air conditioner will be turned off after 30 minutes. Environmental information is used to describe the environment around the target home appliance, such as the temperature, humidity, brightness and other information in the environment where the target home appliance is located. Device status information may include but is not limited to real-time energy consumption information and working status information of the target home appliance. User preference information may be the home appliance usage preferences set by the user or the user preference information obtained based on the analysis of the user's previous use of the home appliance. Scenario information may be scenarios set by the user for different home appliance usage needs, or some specific scenarios, such as setting different scenario modes for weekdays, weekends, holidays, etc. In various scenario modes, energy-saving suggestion information may be set according to the needs of each home appliance in the scenario.

[0079] Step S203: input the one or more target energy-saving influencing factors into a preset energy-saving suggestion generation model for household appliances to generate energy-saving suggestion information matching the target energy-saving influencing factors, wherein the energy-saving suggestion generation model for household appliances is a model that learns the relationship between energy-saving influencing factors and energy-saving suggestion information based on the energy-saving suggestion rules.

[0080] In practical applications, an energy-saving suggestion generation model can be pre-trained. The energy-saving suggestion generation model can learn the relationship between energy-saving influencing factors and energy-saving suggestion information through energy-saving suggestion rules, and then output matching energy-saving suggestion information for the input target energy-saving influencing factors.

[0081] In an embodiment of the present invention, an energy-saving suggestion rule for a target home appliance can be constructed, the energy-saving suggestion rule includes energy-saving suggestion information associated with energy-saving influencing factors; and one or more target energy-saving influencing factors of the target home appliance are obtained; and then the one or more target energy-saving influencing factors can be input into a preset energy-saving suggestion generation model for home appliances to generate energy-saving suggestion information matching the target energy-saving influencing factors, thereby realizing rapid generation of matching energy-saving suggestion information based on the acquired energy-saving influencing factors, so as to provide effective suggestions for users to use home appliances, improve household energy efficiency, and effectively guide users to develop good energy-saving habits. By introducing the energy-saving suggestion generation model, it is possible to more accurately determine the energy-saving suggestion information matching the target energy-saving influencing factors.

[0082] Reference Figure 3 , shows a flowchart of another method for generating energy-saving suggestions for household appliances provided by an embodiment of the present invention, which may specifically include the following steps:

[0083] Step S301, constructing an energy-saving suggestion rule for a target household appliance, wherein the energy-saving suggestion rule includes energy-saving suggestion information associated with energy-saving influencing factors;

[0084] In practical applications, in order to achieve energy-saving management of home appliances, energy-saving suggestion rules for target home appliances can be pre-set, and the energy-saving suggestion rules can include energy-saving suggestion information associated with energy-saving influencing factors, wherein the energy-saving suggestion information can specifically include energy-saving control performed on specific home appliance types, for example, it can be set that when the indoor temperature is higher than a preset temperature, the air conditioner is controlled to be turned off or the air conditioner temperature is adjusted to a preset temperature. Among them, the indoor temperature is a type of energy-saving influencing factor, and the energy-saving measure is to turn off the air conditioner or adjust the air conditioner temperature to a preset temperature.

[0085] Step S302, in response to an input operation on the target home appliance on an input interface of the energy-saving suggestion generating system for home appliances, determining input data corresponding to the input operation;

[0086] In actual applications, the user's input operation may include a voice input operation, and the corresponding input data is voice data. The user's input operation may also include a text input operation, and the corresponding input data is text data.

[0087] Step S303, determining the initial text information corresponding to the input data;

[0088] After obtaining the input data, the corresponding initial text information is directly obtained for the text data. If the input data is non-text data, a text conversion operation is required to obtain the initial text information.

[0089] In an embodiment of the present invention, the determining of the initial text information corresponding to the input data includes: when the input data is voice data, calling a preset voice recognition model to convert the voice data into text information.

[0090] For example, speech recognition technology (such as Google Speech-to-Text) can be used to convert speech into text to ensure the accuracy of the text.

[0091] Step S304, determining keywords in the initial text information;

[0092] In one embodiment of the present invention, determining keywords in the initial text information includes: obtaining context information and / or user preference information of the input data; performing word segmentation processing on the initial text data based on the context information and / or the user preference information to obtain word segmentation information, and determining keywords from the word segmentation information. For example, a named entity recognition (NER) algorithm is used to identify keywords (such as "air conditioning" and "lighting").

[0093] In practical applications, a context management module may be provided to store context information and / or user preference information of input data, and then perform word segmentation processing in combination with the context information and / or user preference information to obtain accurate word segmentation data. Genori may extract keywords based on the word segmentation information.

[0094] Step S305 : determining a user intention category based on the keyword, where the user intention category is used to characterize the user's energy-saving demand for the target home appliance.

[0095] Step S306: determine energy-saving suggestion information matching the user intention category in the energy-saving suggestion rule.

[0096] In an embodiment of the present invention, an energy-saving suggestion rule for a target home appliance is constructed, the energy-saving suggestion rule includes energy-saving suggestion information associated with energy-saving influencing factors; in response to an input operation for the target home appliance on an input interface of an energy-saving suggestion generation system for the home appliance, input data corresponding to the input operation is determined; initial text information corresponding to the input data is determined; keywords are determined in the initial text information; user intent categories are determined based on the keywords; and energy-saving suggestion information matching the user intent category is determined in the energy-saving suggestion rule, thereby determining user intent based on user input, and then generating corresponding energy-saving suggestion information based on user intent, achieving personalized recommendations, improving household energy efficiency, and effectively guiding users to develop good energy-saving habits.

[0097] Reference Figure 4 , shows a flowchart of another method for generating energy-saving suggestions for household appliances provided by an embodiment of the present invention, which may specifically include the following steps:

[0098] Step S401, constructing an energy-saving suggestion rule for a target household appliance, wherein the energy-saving suggestion rule includes energy-saving suggestion information associated with energy-saving influencing factors;

[0099] In practical applications, in order to achieve energy-saving management of home appliances, energy-saving suggestion rules for target home appliances can be pre-set, and the energy-saving suggestion rules can include energy-saving suggestion information associated with energy-saving influencing factors, wherein the energy-saving suggestion information can specifically include energy-saving control performed on specific home appliance types, for example, it can be set that when the indoor temperature is higher than a preset temperature, the air conditioner is controlled to be turned off or the air conditioner temperature is adjusted to a preset temperature. Among them, the indoor temperature is a type of energy-saving influencing factor, and the energy-saving measure is to turn off the air conditioner or adjust the air conditioner temperature to a preset temperature.

[0100] Step S402, obtaining one or more target energy-saving influencing factors of the target household appliance;

[0101] In the embodiment of the present invention, some energy-saving influencing factors associated with energy saving of household appliances may be preset, wherein the target energy-saving influencing factors may include any one or more of the following:

[0102] User intent category, environmental information, device status information, user preference information, and contextual information.

[0103] The user intention category is used to characterize the user's energy-saving needs for the target home appliance. For example, the user presets that the bedroom air conditioner will be turned off after 30 minutes. Environmental information is used to describe the environment around the target home appliance, such as the temperature, humidity, brightness and other information in the environment where the target home appliance is located. Device status information may include but is not limited to real-time energy consumption information and working status information of the target home appliance. User preference information may be the home appliance usage preferences set by the user or the user preference information obtained based on the analysis of the user's previous use of the home appliance. Scenario information may be scenarios set by the user for different home appliance usage needs, or some specific scenarios, such as setting different scenario modes for weekdays, weekends, holidays, etc. In various scenario modes, energy-saving suggestion information may be set according to the needs of each home appliance in the scenario.

[0104] Step S403: determining energy-saving suggestion information matching the one or more target energy-saving influencing factors in the energy-saving suggestion rule.

[0105] Step S404, obtaining feedback information for the energy-saving suggestion information;

[0106] Step S405: adjusting the energy-saving suggestion rule based on the feedback information.

[0107] After receiving the feedback information, the currently constructed energy-saving suggestion rules can be optimized based on the feedback information so that they can meet the needs of users, establish personalized energy-saving suggestion rules for users, and improve user satisfaction.

[0108] In an embodiment of the present invention, the obtaining feedback information for the energy-saving suggestion information includes:

[0109] Acquire first energy consumption information of the target household appliance before applying the energy-saving suggestion information and second energy consumption information of the target household appliance before applying the energy-saving suggestion information;

[0110] Determine implementation effect information of the energy-saving suggestion information in combination with the first energy consumption information and the second energy consumption information;

[0111] Obtaining information on the implementation effect of the energy-saving suggestion information by the target user;

[0112] The implementation effect information and / or the implementation effect information is used as feedback information of the energy-saving suggestion information.

[0113] In an embodiment of the present invention, an energy-saving suggestion rule for a target household appliance is constructed, the energy-saving suggestion rule including energy-saving suggestion information associated with energy-saving influencing factors; one or more target energy-saving influencing factors of the target household appliance are obtained; energy-saving suggestion information matching the one or more target energy-saving influencing factors is determined in the energy-saving suggestion rule, and feedback information for the energy-saving suggestion information is obtained; the energy-saving suggestion rule is adjusted based on the feedback information, so that continuous optimization can be performed based on the feedback information, so that the generated suggestion meets the user's expectations.

[0114] Reference Figure 5 , showing a schematic diagram of an interactive energy-saving suggestion generation system provided by an embodiment of the present invention. The interactive energy-saving suggestion generation system in the embodiment of the present invention may include: intention recognition and semantic analysis, environment and equipment status monitoring, personalized suggestion generation, user interaction design, dynamic adjustment and learning, experiment and evaluation and other modules. The above modules work together to obtain an efficient interactive energy-saving suggestion generation system, which can not only improve household energy efficiency, but also effectively guide users to develop good energy-saving habits.

[0115] The following is a detailed description of the functions of each module in the interactive energy-saving suggestion generation system:

[0116] (1) Intent recognition and semantic analysis:

[0117] Use an input interface to support users to input energy-saving related questions through voice or text. Use speech recognition technology (such as Google Speech-to-Text) to convert speech into text to ensure accuracy. Use NLP technology to perform word segmentation and text analysis, build an intent recognition model, and extract the user's energy-saving intention.

[0118] Specifically, a named entity recognition (NER) algorithm can be used to identify keywords (such as "air conditioner" and "light") and map them to specific intent categories. For example, if you want to turn on the living room light, you can identify the living room and light-related intents and the action of turning it on, and then control the relevant home appliances.

[0119] During the process of intent recognition and semantic analysis, a context management module can also be designed, which can be used to store the user's historical conversations and preference information.

[0120] During the word segmentation process, the context management module can be called to perform word segmentation processing based on the user's historical conversations and preference information. The accuracy of word segmentation recognition can be improved based on the context information, which in turn can improve the accuracy of intent recognition and ensure that the system can understand complex user requests.

[0121] (II) Environment and equipment status monitoring

[0122] Environmental and equipment status monitoring refers to sensor integration, deploying temperature, humidity, light and other sensors to monitor the home environment in real time. Use wireless protocols (such as Zigbee or Wi-Fi) to transmit sensor data to the central control system. Integrate the API of smart home devices to obtain the energy consumption and working status of the devices in real time.

[0123] Ensure the accuracy and timeliness of device status data, and support the system to generate recommendations based on device status. Data processing and analysis: Use stream processing frameworks (such as Apache Kafka or Flink) to process the collected data. Generate real-time status reports of devices and environments for subsequent analysis and recommendation generation. Personalized recommendation generation means: building a flexible rule base and defining multiple energy-saving recommendation rules.

[0124] Use a rule engine (such as Drools) to dynamically generate energy-saving recommendations based on user input and environmental data. Recommendation algorithm, implementation steps: Apply machine learning models to analyze user historical behavior and generate personalized recommendations. Use collaborative filtering or content-based recommendation algorithms to provide recommendations based on users' device usage habits and energy-saving goals. Context-aware recommendations: Set recommendation strategies for different context modes (such as weekdays, weekends, holidays). Generate energy-saving recommendations that match the context based on environmental data and user habits.

[0125] In practical applications, some energy-saving influencing factors associated with energy saving of household appliances can be pre-set, wherein the target energy-saving influencing factors can include any one or more of the following:

[0126] User intent category, environmental information, device status information, user preference information, and contextual information.

[0127] The user intention category is used to characterize the user's energy-saving needs for the target home appliance. For example, the user presets that the bedroom air conditioner will be turned off after 30 minutes. Environmental information is used to describe the environment around the target home appliance, such as the temperature, humidity, brightness and other information in the environment where the target home appliance is located. Device status information may include but is not limited to real-time energy consumption information and working status information of the target home appliance. User preference information may be the home appliance usage preferences set by the user or the user preference information obtained based on the analysis of the user's previous use of the home appliance. Scenario information may be scenarios set by the user for different home appliance usage needs, or some specific scenarios, such as setting different scenario modes for weekdays, weekends, holidays, etc. In various scenario modes, energy-saving suggestion information may be set according to the needs of each home appliance in the scenario.

[0128] In practical applications, the above three algorithms are generated based on different influencing factors, so they can also be integrated into the rule engine (such as Drools) system to build an energy-saving suggestion generation model, and adjust the influencing factors of the energy-saving suggestion generation model based on the influencing factors of the above three aspects.

[0129] 3. User Interaction Design

[0130] In practical applications, a user-friendly interface, a concise and intuitive user interface, can ensure that users can easily access input and suggestion functions. In an embodiment of the present invention, UI design principles can be adopted to improve user experience.

[0131] At the same time, in order to improve the user experience, you can set up multimodal interaction and develop applications that support voice, touch and graphical interfaces. Ensure that users can interact with the system through different devices (such as mobile phones, tablets, smart speakers).

[0132] In addition, you can set visual feedback and use data visualization tools (such as D3.js) to design dynamic charts to show energy consumption trends and the effects of energy-saving suggestions. Provide an intuitive feedback interface so that users can clearly understand the value of energy-saving suggestions.

[0133] (IV) Dynamic Adjustment and Learning

[0134] In actual applications, feedback options (such as "accept" or "reject") can be set in the user interface to record user feedback on suggestions. Feedback data is collected for subsequent optimization and adjustment of suggestions.

[0135] Adaptive learning algorithm: Use reinforcement learning algorithm to dynamically adjust the recommendation generation strategy based on user feedback and energy consumption data. Ensure that the system can continuously learn and adapt to changes in user behavior and improve the relevance of recommendations. Regular evaluation and optimization: Set evaluation indicators (such as energy saving effect, user satisfaction) to regularly evaluate system performance. According to the evaluation results, adjust the algorithm and strategy to ensure continuous optimization of the system.

[0136] Experimentation and Evaluation: User Testing and Feedback Collection: Conduct user testing to evaluate the effectiveness of the system and user acceptance. Use A / B testing to compare the effects of different suggestion generation strategies and collect user feedback for analysis.

[0137] Data analysis tools (such as Python's Pandas) can also be used in the interactive energy-saving suggestion generation system to analyze user behavior data and energy consumption data. Generate regular reports to evaluate the implementation effect of the suggestions and user satisfaction. Continuous improvement loop: Establish a continuous improvement feedback loop and regularly review user feedback and system performance.

[0138] It should be noted that, for the sake of simplicity, the method embodiments are described as a series of action combinations, but those skilled in the art should be aware that the embodiments of the present invention are not limited by the order of the actions described, because according to the embodiments of the present invention, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions involved are not necessarily required by the embodiments of the present invention.

[0139] Reference Figure 6 , shows a schematic diagram of the structure of a device for generating energy-saving suggestions for household appliances provided by an embodiment of the present invention, which may specifically include the following modules:

[0140] A rule building module 601 is used to build an energy-saving suggestion rule for a target household appliance, wherein the energy-saving suggestion rule includes energy-saving suggestion information associated with energy-saving influencing factors;

[0141] The energy-saving influencing factor acquisition module 602 is used to acquire one or more target energy-saving influencing factors of the target household appliance;

[0142] The energy-saving suggestion information determining module 603 is used to determine the energy-saving suggestion information matching the one or more target energy-saving influencing factors in the energy-saving suggestion rule.

[0143] In an embodiment of the present invention, when the energy-saving suggestion information determining module 603 is used to determine the energy-saving suggestion information matching the one or more target energy-saving influencing factors in the energy-saving suggestion rule, it can be specifically used to:

[0144] The one or more target energy-saving influencing factors are input into a preset energy-saving suggestion generation model for household appliances to generate energy-saving suggestion information matching the target energy-saving influencing factors, wherein the energy-saving suggestion generation model for household appliances is a model that learns the relationship between energy-saving influencing factors and energy-saving suggestion information based on the energy-saving suggestion rules.

[0145] In an embodiment of the present invention, the target energy-saving influencing factor includes a user intention category, and the energy-saving influencing factor acquisition module 602 may include the following submodules:

[0146] An input data determination submodule, configured to determine input data corresponding to an input operation on the target home appliance on an input interface of the energy-saving suggestion generation system for home appliances, in response to the input operation on the target home appliance;

[0147] A text information determination submodule, used to determine the initial text information corresponding to the input data;

[0148] A keyword determination submodule, used to determine keywords in the initial text information;

[0149] The user intention category determination submodule is used to determine the user intention category based on the keyword, and the user intention category is used to characterize the user's energy-saving demand for the target home appliance.

[0150] In one embodiment of the present invention, the text information determination submodule may include the following subunits:

[0151] The speech-to-text conversion unit is used to call a preset speech recognition model to convert the speech data into text information when the input data is speech data.

[0152] In one embodiment of the present invention, the keyword determination submodule may include the following units:

[0153] A related information acquisition unit, used to acquire context information of the input data and / or user preference information;

[0154] An analysis word processing unit, configured to perform word segmentation processing on the initial text data based on the context information and / or the user preference information to obtain word segmentation information;

[0155] The keyword determination module is used to determine keywords from the word segmentation information.

[0156] In an embodiment of the present invention, the target energy-saving influencing factor includes environmental information, and the energy-saving influencing factor acquisition module 602 may include the following submodules:

[0157] An associated sensor determination submodule, used to determine one or more target sensors associated with the target home appliance;

[0158] The environmental information acquisition submodule is used to acquire sensor data corresponding to the one or more target sensors, and determine the environmental information of the target home appliance device using the sensor data.

[0159] In an embodiment of the present invention, the target energy-saving influencing factor includes device status information, and the energy-saving influencing factor acquisition module 602 may include the following submodules:

[0160] The device status acquisition submodule is used to call the API interface of the target home appliance device and obtain the device status of the target home appliance device through the API interface.

[0161] In one embodiment of the present invention, the device further comprises:

[0162] A feedback information acquisition module, used to acquire feedback information for the energy-saving suggestion information;

[0163] The energy-saving suggestion rule adjustment module is used to adjust the energy-saving suggestion rule based on the feedback information.

[0164] In an embodiment of the present invention, the feedback information acquisition module may include the following submodules:

[0165] An energy consumption acquisition submodule, used to acquire first energy consumption information of the target household appliance before applying the energy-saving suggestion information and second energy consumption information of the target household appliance before applying the energy-saving suggestion information;

[0166] An implementation effect information determination submodule, used to determine implementation effect information of the energy-saving suggestion information in combination with the first energy consumption information and the second energy consumption information;

[0167] A user satisfaction information determination submodule is used to obtain user satisfaction information of target users for the energy-saving suggestion information;

[0168] The feedback information determination submodule is used to use the user satisfaction information and / or the implementation effect information as feedback information of the energy-saving suggestion information.

[0169] In an embodiment of the present invention, the device may further include the following submodules:

[0170] A visualization dynamic chart determination module, used to generate a visualization dynamic chart based on the energy-saving suggestion information;

[0171] The chart display module is used to send the visual dynamic chart to the target user for display.

[0172] In an embodiment of the present invention, an energy-saving suggestion rule for a target household appliance can be constructed, the energy-saving suggestion rule including energy-saving suggestion information associated with energy-saving influencing factors; and one or more target energy-saving influencing factors of the target household appliance are obtained; and then, energy-saving suggestion information matching the one or more target energy-saving influencing factors can be determined in the energy-saving suggestion rule, thereby realizing rapid generation of matching energy-saving suggestion information based on the acquired energy-saving influencing factors, so as to provide effective suggestions for users to use household appliances, improve household energy efficiency, and effectively guide users to develop good energy-saving habits.

[0173] An embodiment of the present invention further provides an electronic device, which may include a processor, a memory, and a computer program stored in the memory and capable of running on the processor. When the computer program is executed by the processor, the following method for generating energy-saving suggestions for household appliances is implemented:

[0174] Constructing energy-saving suggestion rules for target household electrical appliances, wherein the energy-saving suggestion rules include energy-saving suggestion information associated with energy-saving influencing factors;

[0175] Obtain one or more target energy-saving influencing factors of the target household appliance;

[0176] Energy-saving suggestion information matching the one or more target energy-saving influencing factors is determined in the energy-saving suggestion rule.

[0177] An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the following method for generating energy-saving suggestions for household appliances is implemented:

[0178] Constructing energy-saving suggestion rules for target household electrical appliances, wherein the energy-saving suggestion rules include energy-saving suggestion information associated with energy-saving influencing factors;

[0179] Obtain one or more target energy-saving influencing factors of the target household appliance;

[0180] Energy-saving suggestion information matching the one or more target energy-saving influencing factors is determined in the energy-saving suggestion rule.

[0181] As for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0182] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0183] Those skilled in the art will appreciate that the embodiments of the present invention may be provided as methods, devices, or computer program products. Therefore, the embodiments of the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the embodiments of the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0184] The embodiments of the present invention are described with reference to the flowcharts and / or block diagrams of the methods, terminal devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing terminal device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing terminal device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0185] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing terminal device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0186] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal device so that a series of operating steps are executed on the computer or other programmable terminal device to produce a computer-implemented process, thereby providing instructions for executing on the computer or other programmable terminal device to implement the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0187] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the embodiments of the present invention.

[0188] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprises" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or terminal device. In the absence of further restrictions, the elements defined by the sentence "including one..." do not exclude the existence of other identical elements in the process, method, article or terminal device including the elements.

[0189] The above is a detailed introduction to the energy-saving suggestion generation method, device, equipment, and medium for household appliances. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A method for generating energy-saving suggestions for household appliances, characterized in that: The method comprises: Constructing energy-saving suggestion rules for target household electrical appliances, wherein the energy-saving suggestion rules include energy-saving suggestion information associated with energy-saving influencing factors; Obtain one or more target energy-saving influencing factors of the target household appliance; Energy-saving suggestion information matching the one or more target energy-saving influencing factors is determined in the energy-saving suggestion rule.

2. The method according to claim 1, characterized in that The determining, in the energy-saving suggestion rule, energy-saving suggestion information matching the one or more target energy-saving influencing factors includes: The one or more target energy-saving influencing factors are input into a preset energy-saving suggestion generation model for household appliances to generate energy-saving suggestion information matching the target energy-saving influencing factors, wherein the energy-saving suggestion generation model for household appliances is a model that learns the relationship between energy-saving influencing factors and energy-saving suggestion information based on the energy-saving suggestion rules.

3. The method according to claim 1, characterized in that The target energy-saving influencing factor includes a user intention category, and the step of obtaining one or more target energy-saving influencing factors of the target home appliance includes: In response to an input operation on the input interface of the energy-saving suggestion generating system for home appliances for the target home appliance, determining input data corresponding to the input operation; Determining initial text information corresponding to the input data; determining keywords in the initial text information; A user intention category is determined based on the keyword, where the user intention category is used to characterize the user's energy-saving demand for the target home appliance.

4. The method according to claim 3, characterized in that The determining of the initial text information corresponding to the input data includes: When the input data is voice data, a preset voice recognition model is called to convert the voice data into text information.

5. The method according to claim 3, characterized in that: The step of determining keywords in the initial text information includes: Acquiring context information of the input data and / or user preference information; Performing word segmentation processing on the initial text data based on the context information and / or the user preference information to obtain word segmentation information; A keyword is determined from the word segmentation information.

6. The method according to claim 1, characterized in that The target energy-saving influencing factor includes environmental information, and the step of obtaining one or more target energy-saving influencing factors of the target household appliance includes: Determining one or more target sensors associated with the target home appliance; Acquire sensor data corresponding to the one or more target sensors, and determine environmental information of the target home appliance based on the sensor data.

7. The method according to claim 1, characterized in that The target energy-saving influencing factor includes device status information, and the step of obtaining one or more target energy-saving influencing factors of the target household appliance includes: The API interface of the target home appliance is called, and the device status of the target home appliance is obtained through the API interface.

8. The method according to claim 1, characterized in that Also includes: Obtaining feedback information regarding the energy-saving suggestion information; The energy saving suggestion rule is adjusted based on the feedback information.

9. The method according to claim 8, characterized in that The obtaining feedback information for the energy-saving suggestion information includes: Acquire first energy consumption information of the target household appliance before applying the energy-saving suggestion information and second energy consumption information of the target household appliance before applying the energy-saving suggestion information; Determine implementation effect information of the energy-saving suggestion information in combination with the first energy consumption information and the second energy consumption information; Obtaining user satisfaction information of target users for the energy-saving suggestion information; The user satisfaction information and / or the implementation effect information is used as feedback information of the energy-saving suggestion information.

10. The method according to claim 1, characterized in that Also includes: Generate a visual dynamic chart based on the energy-saving suggestion information; The visual dynamic chart is sent to the target user for display.

11. A device for generating energy-saving suggestions for household appliances, characterized in that: The device comprises: A rule building module, used to build an energy-saving suggestion rule for a target household appliance, wherein the energy-saving suggestion rule includes energy-saving suggestion information associated with energy-saving influencing factors; An energy-saving influencing factor acquisition module, used to acquire one or more target energy-saving influencing factors of the target household appliance; The energy-saving suggestion information determination module is used to determine the energy-saving suggestion information matching the one or more target energy-saving influencing factors in the energy-saving suggestion rule.

12. An electronic device, characterized in that: The invention comprises a processor, a memory and a computer program stored in the memory and capable of running on the processor, wherein when the computer program is executed by the processor, the method for generating energy-saving suggestions for household appliances as claimed in any one of claims 1 to 10 is implemented.

13. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for generating energy-saving suggestions for a household appliance as claimed in any one of claims 1 to 10 is implemented.

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