A method and system for controlling a gas heating water heater intelligent screen

Abstract

The present application relates to the technical field of water stove wisdom screen control, and provides a gas heating water stove wisdom screen control method and system, which method comprises the following steps: collecting operation behavior data and environmental situation data of a user on a wisdom screen of a gas heating water stove in real time; judging the user's user immediate intention and the situation in which the user is according to the operation behavior data and the environmental situation data; adjusting the interaction mode, function presentation priority and information push strategy of the wisdom screen according to the user immediate intention and the situation in which the user is, so as to realize the wisdom screen control of the gas heating water stove. The present application has the effect of improving the operation efficiency and use experience of the gas heating water stove.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of water stove wisdom screen control, in particular to a gas heating water stove wisdom screen control method and system. BACKGROUND

[0002] With the rapid development of smart home technology, as the core equipment of household heating and hot water supply, the control mode of gas heating water stove is gradually upgrading from traditional mechanical knobs or monochrome LCD screens to intelligent and visual direction. However, most of the gas heating water stove products on the market still use simple buttons or low-resolution display screens, with single operation interface and limited information display, which cannot meet the user's demand for intuitive perception of device status, multi-functional integration and remote interaction.

[0003] The existing gas heating water stove control technology has obvious limitations: first, the operation interface has poor interactivity, most products only support basic parameter display, and cannot realize graphical menu navigation or multimedia information prompt; second, the control function is single, lacking modern interactive capabilities such as high-definition video playback and touch sliding operation; third, the device is strongly isolated, and is not effectively combined with mobile Internet, so users cannot realize remote monitoring or software upgrade through wireless network. These problems make it difficult for users to intuitively grasp the running status of the device, and limit the functional expansion space of gas heating water stove in the smart home scene. Users generally reflect that when trying to adjust the heating temperature or hot water setting, they need to repeatedly press the keys or search layer by layer in the simple menu, which is inefficient. When the gas heating water stove device is abnormal, an abstract fault code is often displayed on the screen, and the user cannot intuitively understand the problem, nor can they obtain multimedia guidance for preliminary troubleshooting. In addition, due to the lack of remote connection capability, users cannot turn on the heating in advance when they are out, nor can they check the running status of the gas heating water stove device in real time, which greatly reduces the convenience experience of smart home. Especially in modern residential environment, users expect the gas heating water stove device not only to run efficiently, but also to seamlessly integrate with the smart home system, and to improve the user experience through more humanized interaction mode.

[0004] In view of the above problems, the existing technology needs to be improved. SUMMARY

[0005] The present application discloses a gas heating water stove wisdom screen control method and system, which aims to solve the problems of poor interactivity of operation interface, single control function, strong isolation of device, difficulty in meeting the user's demand for intuitive perception of device status, multi-functional integration and remote interaction in the existing gas heating water stove control technology, and difficulty for users to intuitively grasp the running status of the device, which limits the functional expansion space of gas heating water stove in the smart home scene.

[0006] The technical solution of the present application is as follows:

[0007] In the first aspect, this application discloses a smart screen control method for a gas-fired heating and hot water boiler, including:

[0008] Real-time data collection of user behavior and environmental context data on the smart screen of the gas-fired heating and hot water boiler;

[0009] Based on operational behavior data and environmental context data, the user's immediate intent and current situation can be determined.

[0010] Based on the user's immediate intent and the context, the interaction method, function presentation priority, and information push strategy of the smart screen are adjusted to achieve smart screen control of the gas heating and hot water boiler.

[0011] This technical solution enables real-time perception and intelligent analysis of user behavior and environmental context, thereby dynamically adjusting the smart screen's interaction methods, function presentation priorities, and information push strategies. This significantly improves the intelligent control level and user experience of gas-fired heating and hot water boilers, effectively solving problems such as poor interface interactivity, limited control functions, and strong equipment isolation in existing technologies.

[0012] Furthermore, in some implementation schemes, the steps for determining the user's immediate intent and current situation based on operational behavior data and environmental context data include:

[0013] Based on operational behavior data and environmental context data, determine whether there are any conflicts or ambiguities. If the determination result is yes, then the existing conflicts or ambiguities are identified.

[0014] Based on existing conflicts or ambiguities, and according to preset priority rules and the current environmental context, the potential user intentions are weighted and evaluated to obtain the initial weights of the potential user intentions.

[0015] By combining users' historical operation habit data, the initial weight of potential user intent is adjusted to obtain the adjusted potential user intent weight;

[0016] Based on the adjusted potential user intent weights, the user's immediate intent and the context in which they are situated can be determined.

[0017] When there are conflicting or ambiguous intentions among potential users, provide users with an option to confirm their intentions;

[0018] Determine the user's immediate intent based on the user's feedback on the intent confirmation option.

[0019] By the technical scheme, the user's real-time intention can be more accurately recognized through multi-dimensional data analysis and conflict ambiguity processing mechanism, and the user experience is improved through the intention confirmation option, so that misjudgment and operation errors are effectively avoided, and the control of the smart screen is more accurate and humanized.

[0020] Further, in some embodiments, based on the existing conflict or ambiguity situation, the initial weight of the potential user intention is obtained by weighting evaluation according to the preset priority rule and the current environment scenario, and the step of weighting evaluation includes:

[0021] Collecting physiological state data and activity demand data of the user, and integrating them into comprehensive state demand information;

[0022] The preset priority rule and the current environment scenario are integrated into state demand verification information;

[0023] Identifying the inconsistency between the comprehensive state demand information and the state demand verification information;

[0024] Generating a physiological activity specificity weight factor according to the physiological state data, the activity demand data and the inconsistency;

[0025] Evaluating the physiological activity specificity weight factor and the preset priority rule to obtain a weight evaluation result;

[0026] Fusing the weight evaluation result and the physiological activity specificity weight factor to correct the weighting evaluation result of the potential user intention as the initial weight of the potential user intention.

[0027] By the technical scheme, the physiological state and activity demand data are introduced, and multi-dimensional evaluation is performed in combination with the priority rule and the environment scenario, so that the weight evaluation of the potential user intention is more refined and personalized, thereby improving the accuracy and adaptability of the intention judgment.

[0028] On the basis of the above, the present application further provides that when the potential user intention has a conflict or ambiguity situation, the step of providing an intention confirmation option for the user includes:

[0029] When the potential user intention has a conflict or ambiguity situation, the intention confirmation option is displayed on the screen of the smart screen, and the intention confirmation option is presented in the form of dynamic flashing or gradual highlight;

[0030] Adjusting the position of the intention confirmation option on the screen to move the intention confirmation option within the user's visual range;

[0031] Playing a voice prompt in a periodic and gradually increasing volume to guide the user to focus on the intention confirmation option on the screen;

[0032] If the user does not perform screen touch or voice response within the preset time, a notification containing an intent confirmation option is pushed to the associated user mobile terminal;

[0033] Receiving feedback of the user on the intent confirmation option through the user mobile terminal, and determining the user's immediate intent.

[0034] Through this technical solution, the user's attention and confirmation of potential intent can be effectively guided through multi-modal prompting methods (vision, hearing, mobile terminal push) and dynamic interaction design, significantly improving the user's operation convenience and accuracy in complex situations, and avoiding misoperation caused by ambiguous intent.

[0035] As an optional solution, the present application also discloses adjusting the interaction mode, function presentation priority and information push strategy of the smart screen according to the user's immediate intent and the situation, to realize the steps of controlling the gas heating water heater smart screen, comprising:

[0036] Monitoring the user's immediate intent and the situation, obtaining the respective change rate and change amplitude;

[0037] When the change rate and change amplitude reach the respective preset upper limit value, the currently activated interaction mode, function presentation priority and information push strategy are identified;

[0038] According to the new user's immediate intent and the situation, a new adjustment scheme is calculated;

[0039] Comparing the difference between the new adjustment scheme and the currently activated interaction mode, function presentation priority and information push strategy;

[0040] When the difference exceeds the preset threshold, a transition animation or gradient effect is executed, and a prompt sound is played, to switch to the new adjustment scheme in a smooth way;

[0041] Maintain the cooling time mechanism, and within the cooling time, perform priority evaluation on the new adjustment scheme;

[0042] When the number of potential user intents is greater than one, the new adjustment scheme corresponding to the potential user intent with higher priority is preferentially executed.

[0043] Through this technical solution, the change of intent and situation can be dynamically monitored, and a smooth switching mechanism and a cooling time mechanism are introduced, to ensure that the adjustment process of the smart screen is natural and smooth, avoiding frequent or abrupt interface changes. At the same time, through the priority evaluation mechanism, the key demand corresponding to the new adjustment scheme is preferentially responded in the multi-intent scene, significantly improving the stability and user experience of the system.

[0044] In one embodiment, when the difference exceeds the preset threshold, the step of executing a transition animation or a gradient effect and playing a prompt sound to switch to the new adjustment scheme in a smooth manner includes:

[0045] Collecting ambient light intensity data and user visual impairment information;

[0046] According to the ambient light intensity data, adjusting the brightness, contrast, and duration of the transition animation or the gradient effect;

[0047] According to the user visual impairment information, adjusting the color saturation, element size, and motion trajectory of the transition animation or the gradient effect;

[0048] In a weak light environment or when the user has a visual impairment, increasing the visual contrast of the transition animation or the gradient effect and prolonging the duration of the transition animation or the gradient effect.

[0049] Through this technical solution, the visual parameters of the transition animation and the gradient effect can be adaptively adjusted according to the ambient light and user visual impairment information, significantly improving the readability and accessibility of the smart screen in different lighting conditions and for different user groups, and enhancing the inclusiveness of user experience.

[0050] In another embodiment, when the difference exceeds the preset threshold, the step of executing a transition animation or a gradient effect and playing a prompt sound to switch to the new adjustment scheme in a smooth manner includes:

[0051] Collecting ambient noise data;

[0052] According to the ambient noise data, adjusting the volume of the prompt sound so that the volume of the prompt sound is higher than the ambient noise data by a preset decibel value;

[0053] Collecting the hearing impairment level set by the user;

[0054] According to the hearing impairment level, adjusting the frequency range of the prompt sound so that the frequency range of the prompt sound avoids the frequency band where the user's hearing sensitivity decreases;

[0055] Increasing the duration of the prompt sound.

[0056] Through this technical solution, the volume, frequency, and duration of the prompt sound can be adaptively adjusted according to the ambient noise and the user's hearing impairment level, significantly improving the audibility and recognition of the prompt sound in a noisy environment or for users with hearing impairment, and ensuring effective communication of key information.

[0057] As a further improvement, when the difference exceeds the preset threshold, the step of executing a transition animation or a gradient effect and playing a prompt sound to switch to the new adjustment scheme in a smooth manner includes:

[0058] Collect user behavior data and environmental context data;

[0059] According to the user behavior data and environmental context data, determine whether the user is in a multitasking state, and obtain a processing state judgment result;

[0060] If the processing state judgment result indicates that the user is in a multitasking state, the visual intensity of the transition animation or the gradient effect is reduced;

[0061] If the processing state judgment result indicates that the user is in a multitasking state, the intelligibility of the prompt tone is increased;

[0062] If the processing state judgment result indicates that the user is in a multitasking state, the display area of the transition animation or the gradient effect is adjusted.

[0063] Through the technical solution, the visual intensity of the transition animation, the intelligibility of the prompt tone, and the display area can be intelligently adjusted according to whether the user is in a multitasking state, effectively reducing the interference on the user's attention, and improving the operation efficiency and experience of the user in a multitasking context.

[0064] In order to enhance the function, if the processing state judgment result indicates that the user is in a multitasking state, the step of increasing the intelligibility of the prompt tone includes:

[0065] Continuously monitor the head orientation and gaze direction of the user;

[0066] According to the head orientation and gaze direction, adjust the playing direction and volume distribution of the prompt tone.

[0067] Through the technical solution, the playing direction and volume distribution of the prompt tone can be dynamically adjusted by monitoring the head orientation and gaze direction of the user, so that the prompt tone can more accurately attract the user's attention, especially when the user is in a multitasking state, the intelligibility and effectiveness of the prompt tone are significantly improved.

[0068] In a second aspect, the application also discloses a gas heating water heater smart screen control system for executing gas heating water heater smart screen control, comprising:

[0069] A data real-time collection module is configured to collect operation behavior data and environmental context data of a user on a smart screen of a gas heating water heater in real time.

[0070] A data analysis and judgment module is configured to determine the user's user intention and context according to the operation behavior data and environmental context data.

[0071] A smart screen control module is configured to adjust the interaction mode, function presentation priority, and information push strategy of the smart screen according to the user intention and context, so as to realize the gas heating water heater smart screen control.

[0072] By this technical solution, a system-level solution for realizing intelligent screen control of a gas heating water heater is provided. Through modular design, the functions of data acquisition, intention judgment and intelligent screen control are clearly divided, ensuring efficient operation and scalability of the system, thereby effectively improving the intelligent level and user experience of the gas heating water heater.

[0073] Beneficial effects: The intelligent screen control method for a gas heating water heater disclosed in the present application collects user operation behavior data and environmental context data on the intelligent screen in real time, judges the user's immediate intention and the context based on these data, and then dynamically adjusts the interaction mode, function presentation priority and information push strategy of the intelligent screen. This method effectively solves the problems of poor operation interface interaction, single control function and strong device isolation in existing gas heating water heater control technology. Specifically, through intelligent analysis of user operation behavior and environmental context, the system can more accurately understand user needs and provide personalized interactive experience, avoiding the cumbersome key operation and information search in traditional control methods. At the same time, dynamically adjusting the function presentation priority and information push strategy enables users to intuitively and efficiently obtain the required information and conveniently control the device, significantly improving the user's intuitive perception ability and multi-functional integrated experience of the device state. In addition, this method provides a technical basis for the seamless integration of the gas heating water heater and the smart home system through intelligent control, overcoming the limitation of strong device isolation in existing technology, thereby greatly improving the convenience experience of smart home, enabling the gas heating water heater not only to run efficiently, but also to improve the overall user experience through more humanized interaction. BRIEF DESCRIPTION OF DRAWINGS

[0074] Figure 1 Method flowchart of a gas heating water heater intelligent screen control method in one embodiment of the present application;

[0075] Figure 2 Method flowchart of a gas heating water heater intelligent screen control method in another embodiment of the present application;

[0076] Figure 3 System block diagram of a gas heating water heater intelligent screen control system in another embodiment of the present application;

[0077] BRIEF DESCRIPTION OF DRAWINGS

[0078] 1. Gas heating water heater intelligent screen control system; 11. Real-time data acquisition module; 12. Data analysis and judgment module; 13. Intelligent screen control module. DETAILED DESCRIPTION

[0079] The technical solutions in the present application will be described clearly and completely in the present application combined with the drawings in the present application. Obviously, the described embodiments are only some of the embodiments of the present application, not all the embodiments. The components of the present application described and shown in the drawings can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the claimed present application, but only represents selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative work belong to the scope of protection of the present application.

[0080] It should be noted that similar reference numbers and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. Meanwhile, in the description of the present application, the terms "first", "second", etc. are only used to distinguish the description, and cannot be understood as indicating or implying relative importance.

[0081] The conventional gas heating water heater adopts mechanical knob or monochrome liquid crystal screen in the control mode, the operation interface is single, the information display is limited, and it is difficult to meet the needs of users for intuitive perception of equipment state, multi-functional integration and remote interaction. This leads to low efficiency of users in adjusting heating temperature or hot water setting, and the user cannot intuitively understand the problem or obtain multimedia guidance when the equipment appears abnormal. In addition, the lack of remote connection capability also greatly reduces the convenience experience of smart home.

[0082] In view of this, the present application proposes a gas heating water heater smart screen control method, which combines Figure 1 As shown in the drawings, comprising:

[0083] S1, collecting operation behavior data and environmental context data of the user on the smart screen of the gas heating water heater in real time;

[0084] S2, judging the user's user immediate intention and the situation according to the operation behavior data and the environmental context data;

[0085] S3, adjusting the interaction mode, function presentation priority and information push strategy of the smart screen according to the user's immediate intention and the situation, so as to realize the gas heating water heater smart screen control.

[0086] In order to more easily and clearly understand the technical solutions of the present application, first, the key terms involved in the present application are explained.

[0087] The "smart screen" refers to a smart control terminal integrated with a display screen and interaction function, which can display the equipment state, provide the operation interface, and support various interaction modes, such as touch, voice, etc.

[0088] "Operation behavior data" refers to all operation records of the user on the smart screen, including but not limited to touch, swipe, key, voice instruction, etc.

[0089] "Environmental context data" refers to real-time information of the environment where the gas heating water heater is located, such as indoor temperature, humidity, light intensity, outdoor temperature, weather conditions, etc.

[0090] "User immediate intention" refers to the operation or state that the user currently wants the gas heating water heater to perform, such as adjusting the temperature, switching the mode, querying the information, etc.

[0091] "Situation" refers to the environment and state that the user is currently in, such as at home, out, sleep, exercise, etc.

[0092] "Interaction mode" refers to the way that the smart screen exchanges information and receives instructions from the user, such as graphical interface, voice interaction, gesture control, etc.

[0093] "Function presentation priority" refers to the display order and prominence of each function module on the smart screen, such as priority display of frequently used functions, high-light display of emergency notifications, etc.

[0094] "Information push strategy" refers to the way and content of the smart screen sending notifications, reminders or suggestions to the user, such as pop-up prompts, voice broadcast, message list, etc.

[0095] The implementation environment of the present application is usually a home or a commercial place, the gas heating water heater is connected to the smart screen through the network, the smart screen obtains the environmental context data through sensors or external data sources, and the operation behavior data is obtained through user operation.

[0096] The gas heating water heater smart screen control method of the present application is based on the intelligent perception and response of user intention and situation.

[0097] First, in real-time collection of user operation behavior data and environmental context data on the smart screen of the gas heating water heater, a variety of ways can be used. For example, the smart screen can be built-in with touch sensors and microphones to record the user's touch trajectory, click position and voice instruction in real time as operation behavior data. At the same time, the smart screen can integrate temperature sensors, humidity sensors, light sensors and connect to external weather service interfaces to obtain indoor temperature, humidity, light intensity and outdoor weather and other environmental context data. Another implementation way is that the smart screen connects with the user's mobile terminal through Bluetooth or Wi-Fi to obtain the operation records and location information on the user's mobile terminal, and combines the running state sensor data of the gas heating water heater itself to form the operation behavior data and environmental context data.

[0098] Secondly, in terms of judging the user's immediate intention and the situation the user is in according to the operation behavior data and the environmental context data, the following methods can be used. For example, the system can preset a series of rules. When the user clicks the "temperature increase" button on the smart screen for three times in succession and the environmental context data shows that the room temperature is lower than the set temperature, the system judges that the user's immediate intention is "to increase the heating temperature". When the environmental context data shows that it is night and the user has not operated for a long time, the system judges that the user's situation is "sleep mode". Another implementation manner is that the system can use a machine learning model to learn the correlation between the user's behavior pattern and intention, situation by training a large amount of historical operation behavior data and environmental context data. When receiving new operation behavior data and environmental context data, the model can predict the user's immediate intention and the situation the user is in. For example, when the user frequently checks the hot water temperature in a certain time period and the environmental context data shows that it is shower time, the model can judge that the user's intention is "to prepare for bathing" and the situation the user is in is "bathing at home".

[0099] Finally, in terms of adjusting the interaction mode, the priority of function presentation and the information push strategy of the smart screen according to the user's immediate intention and the situation the user is in, the following can be implemented. For example, when the system judges that the user's immediate intention is "to increase the heating temperature" and the situation the user is in is "at home", the interaction mode of the smart screen can be adjusted to highlight the temperature adjustment slider, the priority of function presentation can be set to place the heating temperature adjustment function in the first place, and the information push strategy can display a prompt "the current room temperature is low, it is suggested to increase the heating temperature". Another implementation manner is that when the system judges that the user's immediate intention is "to query fault information" and the situation the user is in is "abnormal equipment", the interaction mode of the smart screen can be switched to voice interaction, guiding the user to speak out the fault code, the priority of function presentation can be set to place the fault diagnosis and solution in the most prominent position, and the information push strategy can push multimedia information including the interpretation of the fault code, the troubleshooting steps for common problems and the contact information of the after-sales service.

[0100] Optionally, in combination with Figure 2 As shown in FIG. 7, the step of S2 judging the user's immediate intention and the situation the user is in according to the operation behavior data and the environmental context data includes:

[0101] S21, judging whether there is a conflict or ambiguity situation based on the operation behavior data and the environmental context data, and if the judgment result is yes, identifying the existing conflict or ambiguity situation;

[0102] S22, based on the existing conflict or ambiguity situation, weighting and evaluating the potential user intention according to the preset priority rules and the current environmental context to obtain the initial weight of the potential user intention;

[0103] S23, adjust the initial weight of the potential user intent according to the historical operation habit data of the user, to obtain an adjusted potential user intent weight;

[0104] S24, determine the user instant intent and the situation of the user according to the adjusted potential user intent weight;

[0105] S25, when the potential user intent has a conflict or ambiguity, provide an intent confirmation option to the user;

[0106] S26, determine the user instant intent according to the feedback information of the user on the intent confirmation option.

[0107] Specifically, when determining the user instant intent and the situation of the user, first, the potential user intent is analyzed based on the real-time collected operation behavior data and environmental situation data. On this basis, the system determines whether these potential intents have a conflict or ambiguity. For example, if the user has successively performed two seemingly contradictory operations (such as first increasing the heating temperature and then immediately decreasing it) in a short time, or an operation has multiple reasonable explanations in the current situation, it is identified as having a conflict or ambiguity. After identifying the conflict or ambiguity, the system does not immediately make a judgment, but rather, based on these conflicts or ambiguities, in combination with the preset priority rules and the current specific environmental situation, all potential user intents are weighted and evaluated, so as to obtain the initial weight of each potential user intent. The preset priority rules can be set according to product design, user safety or energy saving principles, for example, in cold weather, heating-related intents can have a higher priority; and the current environmental situation can include outdoor temperature, indoor humidity, time period and other factors.

[0108] Further, in order to improve the individualization and accuracy of intent determination, the system will also adjust the initial weight of the potential user intent obtained above in combination with the historical operation habit data of the user, so as to obtain an adjusted potential user intent weight. For example, if the user usually performs a hot water bathing operation in a specific time period, even if the current operation is slightly ambiguous, the system will increase the weight of the "hot water bathing" intent according to the historical habit. Finally, the system will determine the user instant intent and the situation of the user according to the adjusted potential user intent weight.

[0109] It is worth noting that after the above weighting evaluation and historical data adjustment, if the potential user intent still has conflict or ambiguity, i.e. no one intent has a significantly higher weight than others, or multiple intents have very close weights, the system will actively provide intent confirmation options to the user. These options aim to clarify the user's true intent and avoid the system making incorrect judgments. After receiving the user's feedback information on the intent confirmation options, the system can finally determine the user's immediate intent.

[0110] It should be noted that the ambiguity situation refers to a state where the system cannot clearly identify a single, definite user intent based on the collected operation behavior data and environmental context data when determining the user's immediate intent, or multiple potential intents have similar probabilities, making it difficult for the system to make a unique decision. In this state, the boundaries of user intent are not clear, or there is overlap or conflict between different intents.

[0111] The ambiguity situation exists when the system determines that the user's immediate intent may point to both "shower" and "laundry" based on operation behavior data and environmental context data. This step addresses the problem of inaccurate user intent recognition or inability to distinguish complex situations in traditional home system control methods. When the system identifies an ambiguity situation, it will take a step-by-step or branching action to avoid directly determining the user's intent, which may lead to incorrect operations. The role of identifying ambiguity is to trigger the subsequent intent confirmation mechanism, which eliminates this uncertainty through historical evaluation, integration of historical operation habit data, and providing intent confirmation options to the user, thereby ensuring that the system can accurately determine the user's immediate intent and the situation, avoid incorrect operations, and improve control accuracy and user experience.

[0112] For example, in a household water heater usage scenario, the user operates in a high-temperature environment, and the operation behavior data is collected by the data real-time acquisition module, such as the user quickly clicking the soft warm mode and hot water mode icons in a short period of time. At the same time, environmental context data (e.g. indoor temperature sensor showing room temperature as 20°C, outdoor temperature sensor showing temperature as 5°C) is also collected. When processing these data, the data analysis and judgment module may identify an ambiguity situation. For example, the user's quick click on "soft warm mode" may indicate that the user wants to turn on the heating, but the subsequent click on "hot water mode" may indicate that the user wants to use hot water. Both intents have a certain degree of rationality in the current situation, but they conflict with each other, making it impossible for the system to directly determine the user's true intent. At this time, the system will determine that there is an ambiguity situation and start the subsequent intent confirmation process.

[0113] Optionally, based on the existing conflict or ambiguity situation, the initial weight of the potential user intent is obtained by weighting the potential user intent according to the preset priority rule and the current environmental scenario, and the step of weighting the potential user intent according to the preset priority rule and the current environmental scenario includes:

[0114] Collecting physiological state data and activity demand data of the user and integrating them into comprehensive state demand information;

[0115] Integrating the preset priority rule and the current environmental scenario into state demand verification information;

[0116] Identifying the inconsistency between the comprehensive state demand information and the state demand verification information;

[0117] Generating a physiological activity-specific weight factor according to the physiological state data, the activity demand data, and the inconsistency;

[0118] Evaluating the physiological activity-specific weight factor and the preset priority rule to obtain a weight evaluation result;

[0119] Fusing the weight evaluation result and the physiological activity-specific weight factor to correct the weighted evaluation result of the potential user intent as the initial weight of the potential user intent.

[0120] Specifically, the physiological state data can be understood as real-time or historical data reflecting the user's physical condition, such as heart rate, body temperature, respiratory rate, sleep pattern, fatigue level, etc. The activity demand data refers to the environmental demand generated by the user's current or expected activity, such as exercise, rest, cooking, reading, etc. After these data are collected, they can be integrated into comprehensive state demand information to fully reflect the user's current physiological and activity state. For example, when the user's heart rate increases and body temperature rises, it may indicate that the user is engaged in physical activity or feels hot.

[0121] The preset priority rule can include user-defined preference settings, system default comfort parameters, or universal rules based on big data analysis. The current environmental scenario includes room temperature, humidity, light, air quality, etc. These information are integrated into state demand verification information for comparison with the user's comprehensive state demand information.

[0122] In practical applications, identifying the inconsistency between the comprehensive state demand information and the state demand verification information means comparing the user's actual physiological activity state with the state inferred by the system based on the environment and the preset rule. For example, when the environmental temperature is low, but the user's physiological state data shows that he is exercising vigorously and sweating, this is an inconsistency.

[0123] According to the physiological state data, activity demand data and inconsistency, a physiological activity-specific weight factor can be generated. The weight factor aims to quantify the degree of influence of individualized physiological and activity demand of the user on the potential intention judgment. For example, when the user is in a sleep state, the sensitivity of the user to temperature changes can be higher, and at this time, a sleep-related physiological activity-specific weight factor can be increased.

[0124] Further, the physiological activity-specific weight factor is evaluated with the preset priority rules to obtain a weight evaluation result. The evaluation process can use machine learning models, fuzzy logic or expert systems, etc. to determine how the physiological activity-specific weight factor should modify the influence of the preset priority rules in the current context.

[0125] Finally, the weight evaluation result is fused with the physiological activity-specific weight factor to correct the weighted evaluation result of the potential user intention as the initial weight of the potential user intention. This means that on the basis of the traditional weighted evaluation based on the environment and preset rules, more refined individualized physiological and activity state considerations of the user are introduced, making the determination of the initial weight more in line with the real needs of the user.

[0126] In some preferred embodiments, the following is described by a specific example. Assume that the user returns home in the evening in winter, the room temperature is low, and the smart screen can preliminarily judge that the user needs to turn on the heating function according to the environmental context data. However, through the scheme of the present application, the system will further collect the physiological state data of the user (for example, the user's heart rate is higher, and the body temperature is slightly higher than the normal value through the wearable device) and the activity demand data (for example, the user is performing indoor fitness activities). At this time, the comprehensive state demand information shows that the user is in a motion state, while the state demand verification information (based on the low room temperature to need heating) has inconsistencies. The system will generate a physiological activity-specific weight factor of "not suitable for overheating during exercise" according to these inconsistencies. The weight factor will be evaluated with the preset heating priority rules and fused and corrected, so that the initial weight of the potential user intention is no longer simply inclined to "turn on the heating", but can be adjusted to "keep ventilation" or "weak heating", or even "turn on the cooling", so as to more accurately reflect the real needs of the user in the motion state, avoid blindly turning on the heating due to the low environmental temperature, and improve the comfort and intelligent level of the user experience.

[0127] Optionally, when the potential user intention has conflicts or ambiguity, the step of providing the intention confirmation option to the user includes:

[0128] When the potential user intention has conflicts or ambiguity, the intention confirmation option is displayed on the screen of the smart screen, and the intention confirmation option is presented in the form of dynamic flashing or gradual high-lighting;

[0129] adjust the position of the intent confirmation option on the screen to move the intent confirmation option within the user's line of sight;

[0130] play a voice prompt in a periodic and progressively increasing volume manner to guide the user to focus on the intent confirmation option on the screen;

[0131] if the user does not perform screen touch or voice response within a preset time, push a notification containing the intent confirmation option to the associated user mobile terminal;

[0132] receive the user's feedback on the intent confirmation option through the user mobile terminal, and determine the user's immediate intent.

[0133] Specifically, when the system determines that there is a conflict or ambiguity in the potential user intent, in order to ensure that the user can timely notice and understand these intents that need to be confirmed, the intent confirmation option will be displayed on the screen of the smart screen. In order to enhance its visual prominence, the intent confirmation option can be presented in the form of dynamic flashing or gradual highlight. Among them, dynamic flashing refers to the intent confirmation option periodically switches between display and hiding at a certain frequency, or quickly changes between different brightness and color to attract the user's eyeballs. Gradual highlight refers to the brightness, color or background of the intent confirmation option gradually enhances in a smooth transition manner, so that it stands out from the surrounding elements, thereby guiding the user's visual focus.

[0134] Further, in order to maximize the user's line of sight, the position of the intent confirmation option on the screen can be dynamically adjusted. For example, the intent confirmation option can slowly move along a preset path on the screen, or intelligently adjust its display position according to the user's head pose, eye tracking data and other information, so that it is always located near the user's current focus area, thereby improving the probability of user discovery and response.

[0135] In addition, in order to provide multi-modal prompts, a voice prompt is played in a periodic and progressively increasing volume manner to guide the user to focus on the intent confirmation option on the screen. Periodic playing means that the voice prompt will be repeated every certain period of time to avoid missing due to temporary distraction. The progressively increasing volume means that the volume of the prompt sound will gradually increase with each repeated playing until it reaches the preset maximum volume. This way can gently attract the user's attention, avoid sudden loud noises that cause shock, and ensure that it can be heard by the user in different environmental noise levels.

[0136] As a backup and important interaction mechanism, if the user does not interact with the screen or respond via voice within a preset time, the system will determine that the user may not have noticed the prompt on the smart screen or may be temporarily unable to interact. In this case, the system will push a notification containing an intent confirmation option to the associated user's mobile device. This notification can be presented as a pop-up message, vibration, or ringtone, ensuring that the user receives the confirmation request even when not in front of the smart screen.

[0137] Ultimately, the system receives feedback from the user via their mobile device regarding the intent confirmation option. The user can then select the corresponding option on their mobile device to confirm or modify their intent. Based on this feedback, the system can accurately determine the user's immediate intent, thereby avoiding erroneous operations caused by conflicting or ambiguous intents.

[0138] In some preferred embodiments, a specific example is given below. Suppose a user operates the smart screen of a gas-fired heating and hot water boiler. Based on the user's behavior data and environmental context data, the system determines that the user may have two conflicting intentions: one is to set the indoor temperature to 25°C, and the other is to activate the energy-saving mode. Because these two intentions conflict, the system requires user confirmation.

[0139] Specifically, the smart screen first displays an intent confirmation option in the center of the screen, such as "Do you want to set the temperature to 25℃ or activate energy-saving mode?". To attract the user's attention, this option is presented with a soft, gradient highlight effect and slowly moves from left to right on the screen. If the user does not touch the screen or respond with voice within 5 seconds, the system will play a voice prompt at a low volume: "Please confirm your operation intent." If the user still does not respond after another 5 seconds, the volume of the voice prompt will be slightly increased and played again. If the user still does not interact with the smart screen within the preset 15-second timeframe, the system will immediately push a notification to the user's associated mobile terminal (such as the user's smartphone) with the message: "Gas-fired heating and hot water boiler intent conflict, please confirm: Set to 25℃ / Activate energy-saving mode." The user can click the corresponding option on their phone to confirm. For example, if the user selects "Set to 25℃" on their phone, the system will receive this feedback and determine that the user's immediate intent is to set the temperature to 25℃, after which the gas-fired heating and hot water boiler will be controlled according to this intent. This multi-layered, multi-modal interaction method ensures accurate identification of user intent and stable system operation.

[0140] Optionally, the steps for adjusting the smart screen's interaction methods, function presentation priorities, and information push strategies based on the user's immediate intent and the context to achieve smart screen control of the gas-fired heating and hot water boiler include:

[0141] monitoring the user's instant intention and the current situation, obtaining respective change rates and change amplitudes;

[0142] when the change rate and the change amplitude reach respective preset upper limit values, identifying the currently activated interaction mode, function presentation priority and information push strategy;

[0143] according to the new user's instant intention and the current situation, calculating a new adjustment scheme;

[0144] comparing the difference between the new adjustment scheme and the currently activated interaction mode, function presentation priority and information push strategy;

[0145] when the difference exceeds a preset threshold, performing a transition animation or a gradient effect, and playing a prompt sound, to switch to the new adjustment scheme in a smooth manner;

[0146] maintaining an adjustment cooling time mechanism, and performing priority evaluation on the new adjustment scheme during the cooling time;

[0147] when the number of potential user intentions is greater than one, preferentially executing the new adjustment scheme corresponding to the potential user intention with higher priority.

[0148] Specifically, monitoring the user's instant intention and the current situation means that the system continuously tracks the changes of the user's intention and the environment situation, and quantifies the speed (change rate) and degree (change amplitude) of these changes. For example, the change rate can be measured by the number of times of switching of the user's intention or the situation state per unit time, and the change amplitude can be represented by the distance or difference of the intention or situation state in the predefined dimension. The purpose is to capture the dynamic characteristics of user demand and environmental changes. The preset upper limit value can be understood as a sensitivity parameter for the system to judge whether adjustment is needed. When the change of the user's intention or the situation reaches or exceeds these preset upper limit values, the system considers it necessary to start the adjustment process, avoiding overreaction to minor or short-lived changes.

[0149] In practical application, identifying the currently activated interaction mode, function presentation priority and information push strategy means that the system obtains the various configurations currently used by the smart screen as a benchmark for subsequent adjustment. Further, according to the new user's instant intention and the current situation, calculating a new adjustment scheme means that the system generates an optimal set of interaction mode, function presentation priority and information push strategy based on the latest user intention and environment situation through preset rules, algorithms or machine learning models. Among them, comparing the difference between the new adjustment scheme and the currently activated interaction mode, function presentation priority and information push strategy means that the system evaluates the degree of deviation between the new and old schemes. For example, the difference can be quantified by calculating the Euclidean distance or similarity index between different strategy parameters.

[0150] When the difference exceeds the preset threshold, a transition animation or a gradient effect is performed, and a prompt sound is played to switch to the new adjustment scheme in a smooth manner. This is designed to provide a user-friendly transition experience and avoid abrupt interface changes. The transition animation can be element translation, scaling, fading, etc., and the gradient effect can be a smooth transition of color, brightness, and transparency. The prompt sound is used for auditory assistance. In addition, the adjustment cooling time mechanism is maintained, which means that after a adjustment is completed, the system does not immediately perform a new large-scale adjustment within a certain time to prevent frequent switching. During the cooling time, the system can evaluate the priority of potential new adjustment schemes to ensure that only more important or more urgent intentions can break the cooling period. When the number of potential user intentions is greater than one, the new adjustment scheme corresponding to the potential user intention with higher priority is executed first. This means that the system has the ability to handle multiple intentions and can intelligently select the scheme that best meets the user's current core needs for implementation according to the preset priority rules.

[0151] In some preferred embodiments, the following is described by a specific example. Assume that the user is using the smart screen of the gas heating water heater to set the hot water temperature. Initially, the user may set the temperature to 40 degrees Celsius. At this time, the system monitors the user's immediate intention as "hot water temperature 40°C" and the context as "the user is setting hot water".

[0152] Subsequently, the user suddenly adjusts the temperature from 40 degrees Celsius to 55 degrees Celsius quickly, and the environmental context data (for example, the indoor temperature sensor detects a sudden drop in room temperature) also shows that the context changes from "the user is setting hot water" to "the user needs to quickly raise the temperature". At this time, the system monitors that both the change rate and the change amplitude of the user's immediate intention and the context exceed the preset upper limit value.

[0153] The system identifies the current interaction mode of the smart screen (for example, temperature slider display), function presentation priority (for example, temperature adjustment function highlighted), and information push strategy (for example, no additional information push).

[0154] According to the new user's immediate intention ("hot water temperature 55°C") and the new context ("the user needs to quickly raise the temperature"), the system calculates a new adjustment scheme, for example, adjusting the temperature slider to 55 degrees Celsius, displaying a function prompt "quick heating mode started" on the screen, and possibly adjusting the information push strategy to display energy saving suggestions.

[0155] The system compares the new adjustment scheme with the currently activated scheme and finds that the temperature setting difference is large, and the function prompt and information push strategy have also changed, which exceeds the preset threshold.

[0156] At this time, the system does not immediately switch the interface harshly, but performs a smooth transition animation, for example, the temperature slider smoothly slides from 40 degrees Celsius to 55 degrees Celsius, while the prompt information "Fast heating mode started" appears with a gradient highlight, and a soft prompt sound is played. This allows the user to clearly perceive that the system is responding to their new intention, and the transition process is natural and comfortable.

[0157] After completing this adjustment, the system starts an adjustment cooling time mechanism, for example, set to 5 seconds. Within these 5 seconds, even if the user has a slight operation or the situation has a slight change, the system will not immediately make a new large-scale adjustment, but will prioritize the potential adjustment scheme. For example, if the user tries to adjust the temperature back to 40 degrees Celsius during the cooling time, the system will evaluate the priority of this new intention. If the system judges that the current "fast heating" intention has a higher priority (for example, based on user historical habits or current environmental situation judgment), it will maintain the 55 degree Celsius setting, avoiding frequent switching back and forth, thus ensuring the stability of the system and the coherence of the user experience.

[0158] Optionally, when the difference exceeds the preset threshold, the step of performing a transition animation or a gradient effect and playing a prompt sound to switch to the new adjustment scheme in a smooth manner includes:

[0159] Collecting ambient light intensity data and user visual impairment information;

[0160] Adjusting the brightness, contrast, and duration of the transition animation or gradient effect according to the ambient light intensity data;

[0161] Adjusting the color saturation, element size, and motion trajectory of the transition animation or gradient effect according to the user visual impairment information;

[0162] In a weak light environment or when the user has a visual impairment, increase the visual contrast of the transition animation or gradient effect, and extend the duration of the transition animation or gradient effect.

[0163] Specifically, the ambient light intensity data refers to the brightness information of the current environment obtained in real time by the light sensor or external environment sensor built into the gas heating water heater smart screen. The user visual impairment information can be understood as the user's visual assistance preferences preset in the system settings, such as whether they have color blindness, weak eyesight, etc., or inferred potential visual impairment conditions through analysis of the user's historical operation behavior patterns (such as frequently adjusting screen brightness, enlarging font, etc.).

[0164] According to the ambient light intensity data, adjusting the brightness, contrast, and duration of the transition animation or gradient effect means that when the ambient light intensity is high, the brightness of the transition animation or gradient effect can be appropriately reduced to avoid causing visual stimulation or glare to the user; when the ambient light intensity is low, the brightness can be appropriately increased and the contrast can be increased to ensure that it is clearly visible in a dim environment. At the same time, the duration of the transition animation or gradient effect can also be fine-tuned according to the light intensity, for example, the transition speed can be accelerated when there is sufficient light, and it can be appropriately lengthened when there is insufficient light, so that the user has more time to perceive the change in the screen content.

[0165] In practical applications, according to the user visual impairment information, the color saturation, element size, and motion trajectory of the transition animation or gradient effect are adjusted, for example, for colorblind users, the color saturation can be adjusted and high-contrast color combinations can be selected to avoid using color pairs that are easy to confuse; for users with low vision, the size of key elements in the transition animation can be increased to make them easier to identify; for users with motion perception disorders, the motion trajectory can be adjusted to be more gentle or have stronger visual guidance to reduce the difficulty of perception.

[0166] Further, in a low-light environment or when a user has a visual impairment, the visual contrast of the transition animation or gradient effect is increased and the duration of the transition animation or gradient effect is lengthened. This means that the system will adaptively adjust according to the actual situation. For example, in a room at night or in dim light, the colors of the transition animation will be more vivid, the contrast between the background and the foreground will be higher, and the animation will be played for a longer time to ensure that the user can fully perceive the switching of the screen content. Similarly, when the system identifies that a user has a visual impairment, similar enhancement measures will be taken to provide a more friendly and easier-to-perceive interactive experience.

[0167] In some preferred embodiments, the following is described by a specific example. Suppose a user enters the kitchen at night, at which time the light sensor built into the gas heating water heater smart screen detects that the ambient light intensity data is extremely low, for example, less than 50 lux. At the same time, the system identifies that the user has mild visual impairment information of color weakness through user settings or historical behavior analysis. When the gas heating water heater smart screen needs to switch from "standby mode" to "heating mode", according to the above scheme, the system will perform the following adjustments:

[0168] First, since the ambient light intensity data is low, the brightness of the transition animation or gradient effect will be appropriately increased and the contrast will be enhanced to ensure the clear visibility of the screen content switching in a dim environment. For example, the background color will gradually change from dark gray to light blue, and the colors of the text and icons will be selected to be high-saturation white or bright yellow to form a sharp contrast.

[0169] Secondly, considering that users may have mild color weakness, the color saturation of the transition animation will be further adjusted to avoid using red and green color systems that are easy to confuse, and instead use blue and yellow color systems or high-contrast single-color gradients. At the same time, the size of the key function icons (such as the "heating mode" icon) in the transition animation will be slightly enlarged, and their movement trajectories will be designed to be more gentle and clear, such as slowly enlarging from the center of the screen with a fade-in effect, rather than quickly flashing or complex rotating.

[0170] Finally, the duration of the transition animation or gradient effect will be extended, for example from the default 0.5 seconds to 1.2 seconds, giving users more time to perceive and understand the switching of screen content. Through these adaptive adjustments, even in low-light environments and with users having visual impairments, users can clearly and comfortably perceive the smooth switching of the smart screen mode, thereby improving the overall user experience and system usability.

[0171] Optionally, when the difference exceeds the preset threshold, the step of performing a transition animation or gradient effect and playing a prompt sound to switch to the new adjustment scheme in a smooth manner includes:

[0172] Collecting environmental noise data;

[0173] According to the environmental noise data, adjusting the volume of the prompt sound so that the volume of the prompt sound is higher than the environmental noise data by a preset decibel value;

[0174] Collecting the hearing impairment level set by the user;

[0175] According to the hearing impairment level, adjusting the frequency range of the prompt sound so that the frequency range of the prompt sound avoids the frequency band where the user's hearing sensitivity decreases;

[0176] Increasing the duration of the prompt sound.

[0177] Specifically, the environmental noise data refers to the background noise intensity and spectral distribution information in the environment where the smart screen is located, which can be collected in real time by a microphone array integrated inside or outside the smart screen. The microphone array can continuously monitor the acoustic characteristics of the surrounding environment and process the collected raw audio signals, such as analyzing their frequency components and energy distribution through Fourier transform, to quantify the level of environmental noise. The purpose is to provide accurate reference for subsequent adjustment of the volume of the prompt sound.

[0178] In the above, the volume of the prompt sound is adjusted according to the environmental noise data, and the volume of the prompt sound is higher than the environmental noise data by a preset decibel value. This means that after obtaining the environmental noise data, the system dynamically calculates a suitable prompt sound playback volume. For example, if the environmental noise is 60 decibels and the preset decibel value is set to 10 decibels, the playback volume of the prompt sound will be adjusted to 70 decibels. The preset decibel value can be configured according to the actual application scenario and user preferences to ensure that the prompt sound has sufficient loudness to penetrate background noise without causing user discomfort. The purpose is to ensure that the prompt sound can still be clearly heard by the user in a noisy environment.

[0179] In practical applications, the hearing impairment level set by the user can be understood as the user's personal hearing health information pre-configured on the smart screen or associated mobile terminal, such as mild, moderate, severe hearing impairment, or specific audiogram data (i.e. hearing threshold at different frequencies). The information can be manually input by the user or obtained through data synchronization with professional hearing devices. The purpose is to provide personalized basis for frequency adjustment of the prompt sound.

[0180] Further, the frequency range of the prompt sound is adjusted according to the hearing impairment level, so that the frequency range of the prompt sound avoids the frequency band where the user's hearing sensitivity decreases. This means that the system will intelligently select or generate the frequency components of the prompt sound according to the user's hearing impairment level information. For example, if the user has hearing loss in the high frequency band, the system will select or synthesize a prompt sound that mainly concentrates in the mid-low frequency band, or adjust the fundamental frequency and overtones of the prompt sound to the frequency band where the user's hearing sensitivity is higher. The purpose is to ensure that the frequency of the prompt sound can be effectively transmitted to the user's auditory system and improve the perception efficiency of hearing-impaired users.

[0181] In addition, increasing the duration of the prompt sound means that the playback time of the prompt sound is extended to a preset time that is longer than the regular prompt sound. For example, the regular prompt sound may last 0.5 seconds, while the increased duration may be 1 second or longer. The purpose is to provide a longer perception window for the user, especially in cases where the user's attention is divided or the reaction is slow, to increase the likelihood of the user noticing the prompt sound.

[0182] In some preferred embodiments, assuming Mr. Zhang is an elderly person with slightly decreased hearing, and his hearing sensitivity decreases at the frequency band above 5000 Hz. Mr. Zhang has pre-set his hearing impairment level in the smart screen. When Mr. Zhang is cooking in the kitchen, about 70 decibels of noise is generated in the kitchen (for example, the operation of the exhaust hood). At this time, the control scheme of the gas heating water heater smart screen needs to switch from "energy saving mode" to "fast hot water mode", triggering the playback of the prompt sound. The scheme of the present application will first collect the 70 decibel environmental noise data of the kitchen. According to the pre-set 10 decibel value, the volume of the prompt sound will be adjusted to 80 decibels. At the same time, the system will read Mr. Zhang's hearing impairment level and identify his high-frequency hearing loss characteristics, so the frequency range of the prompt sound will be adjusted to between 200 Hz and 3000 Hz, avoiding his insensitive high-frequency band. In addition, the duration of the prompt sound will also be increased from the default 0.5 seconds to 1.5 seconds. Through these adjustments, even in a noisy kitchen environment and with Mr. Zhang's hearing loss, he can clearly and timely hear the prompt sound, thereby perceiving the switching of the smart screen mode, and avoiding the situation of missing important information due to unclear prompt sound.

[0183] Optionally, when the difference exceeds the pre-set threshold, a transition animation or a gradient effect is performed, and a prompt sound is played to switch to the new adjustment scheme in a smooth manner, and the step comprises:

[0184] collecting user behavior data and environmental context data;

[0185] judging whether the user is in a multitasking state according to the user behavior data and the environmental context data, to obtain a processing state judgment result;

[0186] if the processing state judgment result indicates that the user is in a multitasking state, reducing the visual intensity of the transition animation or the gradient effect;

[0187] if the processing state judgment result indicates that the user is in a multitasking state, increasing the discriminability of the prompt sound;

[0188] if the processing state judgment result indicates that the user is in a multitasking state, adjusting the display area of the transition animation or the gradient effect.

[0189] Among them, collecting user behavior data and environmental context data means that the system continuously obtains the operation records of the user on the smart screen, such as touch frequency, sliding trajectory, voice instruction, application switching frequency, etc., and the environmental information around the smart screen, such as environmental noise level, environmental light intensity, indoor temperature, humidity, etc. These data are used to comprehensively analyze the current state of the user.

[0190] Further, according to the user behavior data and the environmental context data, it is judged whether the user is in a multitasking state, and a processing state judgment result is obtained. Specifically, the system analyzes the user's operation mode on the smart screen (such as quickly switching between different functions, frequently checking time or messages), the complexity of voice interaction, and the environmental noise level (such as kitchen cooking sound, television playing sound), etc., combines a preset judgment model or machine learning algorithm, and evaluates whether the user is currently handling multiple tasks, thereby obtaining a judgment result of whether the user is in a multitasking state.

[0191] When the processing state judgment result indicates that the user is in a multitasking state, the visual intensity of the transition animation or the gradient effect is reduced. Specifically, the system can reduce the complexity of the transition animation, shorten its duration, reduce the color saturation, weaken the flicker frequency or transparency, so that it is not so visually striking, so as to avoid excessive distraction of the user's already scattered attention.

[0192] At the same time, if the processing state judgment result indicates that the user is in a multitasking state, the recognition of the prompt sound is increased. Specifically, the system adjusts the volume, frequency, tone or playing mode of the prompt sound, so that it is more easily perceived and recognized by the user in the background noise, for example, using a more penetrating frequency, a shorter but clear sound effect, or adjusting the volume to ensure that it is higher than the environmental noise preset decibel value.

[0193] In addition, if the processing state judgment result indicates that the user is in a multitasking state, the display area of the transition animation or the gradient effect is adjusted. Specifically, the system limits the display range of the transition animation or the gradient effect to a specific area of the screen, such as the vicinity of the control currently being operated by the user, or moves it to the edge of the screen that the user's line of sight can more easily reach, so as to avoid interfering with the core display area of the other task being performed by the user.

[0194] In some preferred embodiments, the following is described by a specific example. Suppose the user is cooking in the kitchen while setting the timing function of the gas heating water heater through the smart screen. At this time, the system judges that the user is currently in a multitasking state by monitoring the user's behavior data (for example, the user frequently touches different areas on the screen, quickly switches between the cooking timer and the hot water heater setting interface) and the environmental context data (for example, there is obvious cooking noise in the kitchen). When the operation mode of the gas heating water heater needs to be switched from "heating" to "hot water", if it is in the conventional way, a full-screen, long-duration mode switching animation may appear, accompanied by a loud prompt sound. However, according to the optimization scheme of the present application, the system recognizes that the user is in a multitasking state and makes the following adjustments:

[0195] First, reduce the visual intensity of the transition animation or gradient effect. For example, instead of a full-screen overlay, the mode switching animation appears in a corner of the screen as a smaller, softer icon gradient, or only a quick, low-saturation color change in the relevant function area, with a corresponding reduction in duration to minimize visual disturbance to the user.

[0196] Second, increase the recognition of the prompt sound. The system will intelligently adjust the volume of the prompt sound according to the noise level in the kitchen, making it slightly higher than the ambient noise, and may choose a short, clear and specific frequency sound effect to ensure that the user can clearly hear the mode switching prompt sound even in the busy cooking process, without being overwhelmed by other sounds.

[0197] Finally, adjust the display area of the transition animation or gradient effect. For example, the mode switching prompt information and animation will be displayed near the cooking timer or hot water heater setting interface that the user is currently operating, rather than in the center of the screen, thus avoiding interference with the core task that the user is focusing on.

[0198] Through the above adjustments, the user can still perceive the mode switching of the gas heating water heater in a non-disturbing and efficient way in a multitasking state, thus improving the overall user experience and control efficiency.

[0199] Optionally, if the processing state judgment result indicates that the user is in a multitasking state, the step of increasing the recognition of the prompt sound includes:

[0200] Continuously monitor the user's head orientation and line of sight direction;

[0201] Adjust the playback direction and volume distribution of the prompt sound according to the head orientation and line of sight direction.

[0202] Specifically, continuously monitoring the user's head orientation and gaze direction means obtaining the spatial posture information of the user's head and the fixation point information of the eyes in real time through sensors integrated in the smart screen or its surrounding environment (e.g., cameras, infrared sensors, eye tracking devices, etc.). The head orientation can be understood as the rotation angle and direction of the user's head in three-dimensional space, while the gaze direction refers to the specific area or object that the user's eyes are looking at. These data are continuously collected and analyzed to determine the user's current focus of attention. Among them, adjusting the playback direction and volume distribution of the prompt sound according to the head orientation and gaze direction can be understood as using spatial audio technology or multi-channel speaker arrays to direct the prompt sound to the area currently focused on by the user. For example, when the system detects that the user's head orientation or gaze direction deviates from the smart screen and turns to a certain direction, the playback direction of the prompt sound will be adjusted to that direction, and the volume in that direction can be appropriately enhanced, while the volume in other directions can be correspondingly reduced, thereby forming a directional sound field. The purpose is to ensure that the prompt sound can be more directly and effectively delivered to the user's auditory perception area, even if the user is not directly facing the smart screen.

[0203] In some preferred embodiments, the following is described by a specific example. Assume that the user is cooking in the kitchen, while the smart screen of the gas heating water heater displays important status updates (e.g., the water temperature has reached the set value or an abnormal prompt has occurred). At this time, the user may be looking down at the recipe or focusing on cutting vegetables, and neither the head orientation nor the gaze direction is directly aligned with the smart screen. The control method of the present application continuously monitors the user's head orientation and gaze direction. For example, through the wide-angle camera built-in the smart screen and eye tracking algorithm, the system detects that the user's head is oriented towards the operating table, and the gaze is concentrated on the recipe. Based on this judgment, the system will immediately adjust the playback direction and volume distribution of the prompt sound. Specifically, if the smart screen is equipped with multiple speakers or supports beamforming technology, the system will focus and direct the sound beam of the prompt sound to the direction of the user's head orientation, while appropriately increasing the volume in that direction and maintaining a lower volume in other directions. For example, the prompt sound may be played from the right speaker of the smart screen at a slightly higher volume, forming a sound field pointing to the user's head. In this way, even if the user does not look directly at the smart screen, he can clearly hear and perceive the prompt sound, thereby obtaining important information of the gas heating water heater in time and avoiding missing critical operations or safety prompts due to distraction. This directional prompt sound not only improves the effective delivery of information, but also avoids the interference that may be caused to the user or the surrounding environment due to the global increase in volume.

[0204] The present application proposes a gas heating water heater smart screen control system for performing gas heating water heater smart screen control, combining Figure 3As shown, the gas heating water heater smart screen control system 1 comprises:

[0205] The data real-time acquisition module 11 is used for acquiring the operation behavior data and environmental context data of the user on the smart screen of the gas heating water heater in real time.

[0206] The data analysis and judgment module 12 is used for judging the user's instant intention and the context in which the user is located according to the operation behavior data and the environmental context data.

[0207] The smart screen control module 13 is used for adjusting the interaction mode, function presentation priority and information push strategy of the smart screen according to the user's instant intention and the context in which the user is located, so as to realize the smart screen control of the gas heating water heater.

[0208] In order to more easily and clearly understand the technical solutions of the present application, the key terms involved therein are first explained.

[0209] The "smart screen" refers to a smart control terminal integrated with a display screen and interaction function, which can display device status, provide operation interface, and support multiple interaction modes such as touch, voice, etc.

[0210] The "operation behavior data" refers to all operation records of the user on the smart screen, including but not limited to touch, swipe, key, voice command, etc.

[0211] The "environmental context data" refers to real-time information of the environment in which the gas heating water heater is located, such as indoor temperature, humidity, light intensity, outdoor temperature, weather condition, etc.

[0212] The "user's instant intention" refers to the operation or state that the user currently hopes the gas heating water heater to execute, such as adjusting temperature, switching mode, querying information, etc.

[0213] The "context in which the user is located" refers to the environment and state in which the user is currently located, such as at home, out, sleeping, exercising, etc.

[0214] The "interaction mode" refers to the way in which the smart screen exchanges information and receives instructions from the user, such as graphical interface, voice interaction, gesture control, etc.

[0215] The "function presentation priority" refers to the display order and prominence of each function module on the smart screen, such as priority display of frequently used functions, high-light display of emergency notifications, etc.

[0216] The "information push strategy" refers to the way and content of the smart screen sending notifications, reminders or suggestions to the user, such as pop-up prompts, voice broadcasting, message lists, etc.

[0217] The implementation environment of the present application is usually a family or a commercial place. The gas heating water heater is connected to the smart screen through a network. The smart screen obtains environmental context data through sensors or external data sources and obtains operation behavior data through user operation.

[0218] The core of the gas heating water heater smart screen control system of the present application is the systematic implementation of intelligent perception and response of user intention and context. The specific methods of real-time collection of user operation behavior data and environmental context data, judgment of user immediate intention and context, and adjustment of smart screen interaction mode, function presentation priority and information push strategy have been described in the above embodiments, which will not be repeated here. It needs to be emphasized that the gas heating water heater smart screen control system of the present application realizes more efficient and stable operation through the modular design of the above functions.

[0219] Specifically, the data real-time collection module can be understood as a collection of hardware sensors and software interfaces, which aims to continuously and accurately obtain user operation behavior on the smart screen and environmental information of the gas heating water heater. For example, this module can include touch sensors, microphones, cameras, etc. integrated in the smart screen, which are used to capture user's touch, swipe, voice instruction and gesture operation behavior. At the same time, this module can also obtain environmental context data such as indoor and outdoor temperature, humidity, light intensity, weather conditions through built-in temperature sensors, humidity sensors, light sensors, etc. or through data communication with external smart home gateway, weather service interface. As a preferred embodiment, the data real-time collection module can use polling mechanism or event-driven mechanism to ensure the real-time and effectiveness of the data.

[0220] Among them, the data analysis and judgment module can be understood as the core processing unit in the system, which aims to deeply analyze the data obtained by the data real-time collection module, so as to accurately identify the user's immediate intention and context. Specifically, this module can have a pre-set rule engine built-in, which can directly judge the user's intention according to specific operation sequence and environmental conditions. For example, when it is detected that the user clicks the "temperature increase" button multiple times within a certain time period and the environmental temperature is low, the rule engine can judge that the user's intention is to "increase the heating temperature". In addition, the data analysis and judgment module can also integrate a machine learning model, which can learn and predict the user's complex intention and context by training historical operation behavior data and environmental context data. For example, the model can analyze the user's operation habits at different times and in different environments, so as to more accurately judge whether the user is preparing to take a bath, sleep or go out. The output result of this module, i.e. the user's immediate intention and context, will be the basis for the decision of the smart screen control module.

[0221] Further, the smart screen control module can be understood as a responsible execution unit for dynamically adjusting the display and interaction logic of the smart screen according to the output results of the data analysis and judgment module. Its purpose is to provide the most user-demand-conforming interactive experience according to the user's immediate intention and the situation. For example, when the data analysis and judgment module identifies that the user's intention is "to increase the heating temperature" and the situation is "at home", the smart screen control module can immediately adjust the display interface of the smart screen, place the temperature adjustment slider or button in the most prominent position, and possibly guide the user to operate through voice prompts. In addition, this module can also adjust the function presentation priority, for example, when the user is preparing to sleep, the sleep-related heating mode (such as silent mode, low-power mode) is displayed in priority. At the same time, the information push strategy is also dynamically adjusted, for example, when the user is out, the running state or energy-saving suggestions of the gas heating water heater are pushed. Through the coordinated adjustment of the interaction mode, function presentation priority and information push strategy, the smart screen control module ensures that the smart screen can provide highly personalized and context-aware control services.

[0222] The system of the present application realizes intelligent perception and dynamic response to user intention and situation through the coordinated work of the data real-time acquisition module, the data analysis and judgment module, and the smart screen control module. The data real-time acquisition module can comprehensively obtain user operations and environmental information, providing a rich data basis for subsequent intelligent decision-making. The data analysis and judgment module uses these data for deep learning or rule reasoning to accurately identify the user's immediate needs and the environment. On this basis, the smart screen control module can dynamically adjust the interaction mode, function presentation priority and information push strategy of the smart screen, thereby providing highly personalized, context-aware control experience. For example, when the system judges that the user enters the room in cold weather and approaches the smart screen, the smart screen control module can actively place the temperature adjustment function in a prominent position, or even directly pop up temperature adjustment suggestions, greatly improving the convenience and intuitiveness of user operation. This system capability of actively adapting to user needs and environmental changes is not possessed by traditional systems, significantly improving the intelligent level and user satisfaction of the gas heating water heater.

[0223] The above is only an embodiment of the present application and is not used to limit the protection scope of the present application. For those skilled in the art, the present application can have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A smart screen control method for a gas-fired heating and hot water boiler, characterized in that, include: Real-time data collection of user behavior and environmental context data on the smart screen of the gas-fired heating and hot water boiler; Based on the operational behavior data and the environmental context data, the user's immediate intent and current situation can be determined. Based on the user's immediate intent and the current situation, the interaction method, function presentation priority, and information push strategy of the smart screen are adjusted to achieve smart screen control of the gas heating hot water boiler. The step of determining the user's immediate intent and current situation based on the operational behavior data and the environmental context data includes: Based on the operational behavior data and the environmental context data, it is determined whether there is a conflict or ambiguity. If the determination result is yes, the conflict or ambiguity is identified. Based on existing conflicts or ambiguities, and according to preset priority rules and the current environmental context, the potential user intentions are weighted and evaluated to obtain the initial weights of the potential user intentions. By combining users' historical operation habit data, the initial weight of potential user intent is adjusted to obtain the adjusted potential user intent weight; Based on the adjusted potential user intent weights, the user's immediate intent and the context in which they are situated can be determined. When there are conflicting or ambiguous intentions among potential users, provide users with an option to confirm their intentions; Determine the user's immediate intent based on the user's feedback on the intent confirmation option; The step of weighting and evaluating potential user intentions based on existing conflicts or ambiguities, according to preset priority rules and the current environmental context, to obtain the initial weights of potential user intentions includes: Collect users' physiological status data and activity demand data, and integrate them into comprehensive status demand information; The preset priority rules and the current environment scenario are integrated into state requirement verification information; Identify any inconsistencies between the comprehensive state requirement information and the state requirement verification information; Based on the physiological state data, the activity demand data, and the inconsistencies, a physiological activity-specific weighting factor is generated. The physiological activity-specific weighting factor is evaluated against a preset priority rule to obtain the weighting evaluation result; By integrating the weighted evaluation results with the physiological activity-specific weighting factors, a weighted evaluation result of the potential user intent is obtained and used as the initial weight of the potential user intent.

2. The intelligent screen control method for a gas-fired heating and hot water boiler according to claim 1, characterized in that, The step of providing users with intent confirmation options when potential user intents are conflicting or ambiguous includes: When there are conflicting or ambiguous intentions of potential users, an intention confirmation option is displayed on the smart screen, and the intention confirmation option is presented in the form of dynamic flashing or gradual highlighting. Adjust the position of the intent confirmation option on the screen so that the intent confirmation option is within the user's line of sight; Play voice prompts periodically and with progressively increasing volume to guide the user’s attention to the intent confirmation option on the screen; If the user does not perform screen touch or voice response within a preset time, a notification containing the intent confirmation option will be pushed to the associated user mobile terminal. Receive feedback from the user via their mobile terminal regarding the intent confirmation option, and determine the user's immediate intent.

3. The intelligent screen control method for a gas-fired heating and hot water boiler according to claim 1, characterized in that, The steps of adjusting the interaction method, function presentation priority, and information push strategy of the smart screen according to the user's real-time intent and the current situation to achieve smart screen control of the gas-fired heating hot water boiler include: Monitor the user's real-time intent and the context in which they are situated, and obtain the corresponding rate and magnitude of change. When the rate of change and the magnitude of change reach their respective preset upper limits, the currently activated interaction methods, function presentation priorities, and information push strategies are identified. Calculate a new adjustment scheme based on the new user's immediate intent and the current situation; Compare the differences between the new adjustment plan and the currently activated interaction methods, function presentation priorities, and information push strategies; When the difference exceeds a preset threshold, a transition animation or gradient effect is executed, and a prompt sound is played to smoothly switch to the new adjustment scheme. Maintain and adjust the cooldown time mechanism, and prioritize new adjustment plans during the cooldown period; When the number of potential user intents is greater than one, the new adjustment scheme corresponding to the potential user intent with higher priority is executed first.

4. The intelligent screen control method for a gas-fired heating and hot water boiler according to claim 3, characterized in that, The step of executing a transition animation or gradient effect and playing a prompt sound when the difference exceeds a preset threshold to smoothly switch to the new adjustment scheme includes: Collect ambient light intensity data and user visual impairment information; Based on the ambient light intensity data, adjust the brightness, contrast, and duration of the transition animation or gradient effect; Based on the user's visual impairment information, adjust the color saturation, element size, and motion trajectory of the transition animation or gradient effect; In low-light environments or when users have visual impairments, increase the visual contrast of transition animations or gradient effects and extend the duration of transition animations or gradient effects.

5. The intelligent screen control method for a gas-fired heating and hot water boiler according to claim 3, characterized in that, The step of executing a transition animation or gradient effect and playing a prompt sound when the difference exceeds a preset threshold to smoothly switch to the new adjustment scheme includes: Collect environmental noise data; Based on the ambient noise data, adjust the volume of the prompt sound so that the volume of the prompt sound is higher than the ambient noise data by a preset decibel value; Collect the user's defined level of hearing impairment; Based on the level of hearing loss, adjust the frequency range of the prompt tone to avoid the frequency bands where the user's hearing sensitivity decreases. Increase the duration of the alert sound.

6. The intelligent screen control method for a gas-fired heating and hot water boiler according to claim 3, characterized in that, The step of executing a transition animation or gradient effect and playing a prompt sound when the difference exceeds a preset threshold to smoothly switch to the new adjustment scheme includes: Collect user behavior data and environmental context data; Based on the user behavior data and the environmental context data, determine whether the user is in a multitasking state and obtain the processing state determination result; If the processing status judgment result indicates that the user is in a multitasking state, then reduce the visual intensity of the transition animation or gradient effect. If the processing status judgment result indicates that the user is in a multitasking state, then the recognizability of the prompt sound will be increased; If the processing status determination result indicates that the user is in a multitasking state, then adjust the display area of ​​the transition animation or gradient effect.

7. The intelligent screen control method for a gas-fired heating and hot water boiler according to claim 6, characterized in that, The step of increasing the recognizability of the prompt sound if the user is in a multitasking state includes: Continuously monitor the user's head orientation and gaze direction; Adjust the playback direction and volume distribution of the prompt sound according to the head orientation and the direction of the gaze.

8. A smart screen control system for a gas-fired heating and hot water boiler, used to execute the smart screen control method for a gas-fired heating and hot water boiler as described in any one of claims 1-7, characterized in that, include: The real-time data acquisition module is used to collect user operation behavior data and environmental context data on the smart screen of the gas-fired heating and hot water boiler in real time. The data analysis and judgment module is used to determine the user's real-time intention and current situation based on the operation behavior data and the environmental context data. The smart screen control module is used to adjust the interaction mode, function presentation priority and information push strategy of the smart screen according to the user's real-time intention and the current situation, so as to realize the smart screen control of the gas heating hot water boiler.

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