Voice interaction device and kitchen appliance linkage method and device, electronic equipment and storage medium

Abstract

The invention relates to the technical field of linkage control, in particular to a voice interaction device and kitchen appliance linkage method and device, electronic equipment and a storage medium, the voice interaction device is an independent mobile device and is internally provided with an environment sensor, and the method comprises the following steps: in response to electrification of the voice interaction device, controlling the environment sensor to preheat for a first duration; according to the linkage method of the voice interaction device and the kitchen appliance, the environment sensor is integrated into the movable voice interaction device, the mobility of the device is utilized, environment sensor preheating and reference value self-calibration are carried out at the deployment point, the detection accuracy is ensured, and therefore flexible deployment, accurate sensing and intelligent fan control are achieved.

Description

Technical Field

[0001] This invention relates to the field of linkage control technology, and in particular to a voice interaction device and a method, device, electronic equipment, and storage medium for linking kitchen appliances. Background Technology

[0002] With the rapid development of IoT and AI technologies, the concept of smart kitchens is becoming increasingly popular. Among these technologies, smart speakers, as a crucial interface for human-computer interaction, are widely used to control kitchen appliances, such as range hoods and cooktops via voice commands, bringing convenience to users.

[0003] Although various manufacturers in the kitchen appliance industry have successively promoted some smart speaker devices, many of them only provide basic control and communication based on common sense. The speaker is just a control entry point, and the self-sensing function of many speakers is not comprehensive or intelligent enough to self-identify and control kitchen appliances or to link with them for control. Generally, the environmental sensors used in smoke detectors require a preheating process when first powered on. During operation, they are affected by changes in ambient temperature and humidity, and their output signal changes accordingly. This inherent signal drift makes it difficult to obtain and maintain a reliable judgment benchmark value, directly affecting the accuracy of detection and the reliability of the system. Summary of the Invention

[0004] In view of this, the purpose of the present invention is to provide a voice interaction device and a method, device, electronic device, and storage medium for linking kitchen appliances, so as to improve the accuracy of detection.

[0005] In a first aspect, embodiments of the present invention provide a voice interaction device that is an independent mobile device and has a built-in environmental sensor, the method comprising: In response to the power-on of the voice interaction device, control the environmental sensors to preheat for a first period of time; After the preheating is completed, information from multiple reference points will be collected for a second consecutive period of time. Calculate the average value of multiple reference points to obtain the initial reference value; Acquire real-time environmental data collected by environmental sensors; If the smoke concentration in the real-time environmental data is greater than the initial baseline value, the smoke generator will be activated.

[0006] In conjunction with the first aspect, if the smoke concentration in the real-time environmental data is greater than the initial baseline value, then after the step of controlling the smoke generator to start, the following steps are also included: Acquire the first environmental data collected by environmental sensors; The operating mode of the smoke hood is dynamically adjusted based on the smoke concentration and baseline value in the first environmental data.

[0007] In conjunction with the first aspect, the steps for dynamically adjusting the operating mode of the smoke hood based on the smoke concentration and baseline value in the first environmental data include: Calculate the difference between the smoke concentration in the first environmental data and the baseline value; Based on the preset difference-airflow level mapping relationship, the corresponding target airflow level is determined; Control the range hood to operate at the target airflow level.

[0008] Following the first aspect, and the step of dynamically adjusting the operating mode of the smoke hood based on the smoke concentration and baseline value in the first environmental data, the method further includes: Acquire second environmental data collected by environmental sensors; If the smoke concentration in the second environmental data remains below the baseline value for a predetermined duration, cooking is considered complete. Stop the range hood from running.

[0009] In conjunction with the first aspect, the steps to stop the range hood from operating also include: Continuously acquire third-party environmental data collected by environmental sensors; If the difference between the smoke concentration value in the third environmental data and the benchmark value is less than or equal to the first preset threshold, a second number of environmental data points will be continuously collected. Calculate the average value of the second number of environmental data points; Update the baseline value to the average value.

[0010] In conjunction with the first aspect, the voice interaction device is also used to detect gas concentration; the method also includes: Acquire the gas concentration in real-time environmental data collected by environmental sensors in various areas of the cooking environment at the current location; If the gas concentration is greater than the preset gas concentration threshold, a linkage control command is generated, which is used to shut off the gas valve of the gas stove or gas water heater.

[0011] In conjunction with the first aspect, the bottom of the voice interaction device is equipped with a magnetic structure, which is used to attach and fix it to the metal surface in the kitchen.

[0012] Secondly, this application also provides a voice interaction device and a kitchen appliance linkage device. The voice interaction device is an independent mobile device with a built-in environmental sensor. The device includes: The response module is used to control the environmental sensor preheating time for a first period of time in response to the power-on of the voice interaction device; The data acquisition module is used to continuously acquire information from multiple reference points for a second duration after the preheating is completed; The calculation module is used to calculate the average value of multiple reference points to obtain the initial reference value; The acquisition module is used to acquire real-time environmental data collected by environmental sensors; The control module is used to start the smoke generator if the smoke concentration in the real-time environmental data is greater than the initial reference value.

[0013] Thirdly, this application provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor runs the computer program to cause the electronic device to perform the above-described method.

[0014] Fourthly, this application provides a storage medium storing computer program instructions, which are read and executed by a processor to perform the above-described method.

[0015] The embodiments of the present invention bring the following beneficial effects: The present application provides a voice interaction device and kitchen appliance linkage method, device, electronic device, and storage medium. The voice interaction device is an independent mobile device with a built-in environmental sensor. The method includes: in response to the power-on of the voice interaction device, controlling the environmental sensor to preheat for a first duration; after the preheating is completed, continuously collecting information from multiple reference points for a second duration; calculating the average value of the multiple reference point information to obtain an initial reference value; acquiring real-time environmental data collected by the environmental sensor; if the smoke concentration in the real-time environmental data is greater than the initial reference value, controlling the range hood to start.

[0016] The voice interaction device and kitchen appliance linkage method provided in this application integrates environmental sensors into a mobile voice interaction device. By utilizing the mobility of the device, the environmental sensors are preheated and the reference value is self-calibrated at the deployment point to ensure detection accuracy, thereby achieving flexible deployment, precise perception, and intelligent control of the fan.

[0017] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention are realized and obtained in accordance with the structures particularly pointed out in the description, claims and drawings.

[0018] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0019] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0020] Figure 1 This is a schematic diagram of the control flow of the voice interaction device and the kitchen appliance linkage method provided in an embodiment of the present invention; Figure 2 This is a schematic diagram of the linkage control process in the voice interaction device and kitchen appliance linkage method provided in the embodiments of the present invention; Figure 3 This is a schematic diagram of the reference value calibration process in the voice interaction device and kitchen appliance linkage method provided in the embodiments of the present invention; Figure 4 This is a schematic diagram showing the positional relationship between the voice interaction device and the kitchen appliances provided in an embodiment of the present invention; Figure 5 This is a schematic diagram of the control device structure for the voice interaction device and the kitchen appliance linkage method provided in an embodiment of the present invention; Figure 6 This is a schematic diagram of the electronic device structure provided in an embodiment of the present invention.

[0021] Figure label: 1-Voice interaction device, 2-Range hood, 3-Cooking equipment, 4-Stove; 10 - Response module, 20 - Acquisition module, 30 - Calculation module, 40 - Acquisition module, 50 - Control module; 130 - Processor, 131 - Memory, 132 - Bus, 133 - Communication interface. Detailed Implementation

[0022] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0023] To facilitate understanding of this embodiment, the application scenarios and design concepts of this application embodiment will be briefly introduced below.

[0024] Existing smart kitchen speakers only support voice control and lack autonomous environmental awareness. Traditional smoke sensors require 5 minutes to preheat, and their baseline values ​​are easily affected by temperature and humidity drift, leading to false alarms and missed alarms. Furthermore, the sensors are fixedly installed, making it difficult to flexibly and accurately detect the source of cooking fumes and hindering intelligent linkage control with kitchen appliances.

[0025] Based on this, embodiments of this application provide a method, device, electronic device, and storage medium for linking a voice interaction device with kitchen appliances, in order to improve the flexibility and accuracy of detection.

[0026] Example 1 This application provides a method for linking a voice interaction device with kitchen appliances. The voice interaction device is an independent mobile device with a built-in environmental sensor, combined with... Figure 1 As shown, the method includes: S110, in response to the power-on of the voice interaction device, controls the environmental sensor to preheat for a first period of time.

[0027] After the S120 has warmed up, it continuously collects information from multiple reference points for a second duration.

[0028] S130, calculate the average value of multiple reference point information to obtain the initial reference value.

[0029] S140: Acquire real-time environmental data collected by environmental sensors.

[0030] S150: If the smoke concentration in the real-time environmental data is greater than the initial reference value, the smoke generator will be started.

[0031] The voice interaction device and kitchen appliance linkage method provided in this application integrates environmental sensors into a movable voice interaction device 1. By utilizing the mobility of the device, the environmental sensors are preheated and the reference value is self-calibrated at the deployment point to ensure detection accuracy, thereby achieving flexible deployment, precise perception, and intelligent control of the fan.

[0032] In step S110, the voice interaction device 1 can be a smart speaker, a smart central control screen, an integrated module of a smart home appliance (i.e., the voice interaction function can be directly integrated into a kitchen appliance itself, such as integrating a microphone, speaker and environmental sensor on the main body of a range hood. It can directly receive commands and sense the environment to achieve "self-interaction"), a smartphone, a tablet computer, a wearable device, etc.

[0033] In this embodiment, the voice interaction device 1 is a smart speaker. The voice interaction device 1 can be embedded, suspended, magnetically attached, or placed in any location within the kitchen; this is merely an example and no specific installation method or location is limited. The voice interaction device 1 integrates an environmental sensor to collect environmental data in real time to determine whether there is smoke or abnormal air quality in the surrounding environment. This upgrades the voice interaction device from a passive voice command execution terminal into an intelligent sensing hub capable of actively sensing the kitchen environment and autonomously triggering the linkage control of kitchen appliances based on the sensing results.

[0034] After the voice interaction device 1 is powered on (whether by plugging in a power source or starting up with batteries), the environmental sensor is preheated for a first period of time to allow its internal electrochemical or physical components to reach a stable operating state (in this embodiment, the first period is 4 minutes). It is understandable that when the environmental sensor is first powered on, the output signal is unstable, and directly reading the data will result in significant inaccuracies. By forcibly preheating, the sensor's output signal tends to stabilize, laying a solid foundation for obtaining accurate and reliable reference values ​​subsequently, and reducing the probability of false alarms and missed alarms from the source.

[0035] After step S120 reaches the first duration (i.e., preheating is complete), the environmental sensor enters a stable operating phase, and performs intensive sampling for a continuous second duration (in this embodiment, the second duration is 1 minute), collecting a series of raw data points (such as 60 AD values) representing the current environment (clean air). Through short-duration, high-frequency sampling, a sufficient amount of sample data can be obtained. While individual data points may be affected by momentary interference, collecting multiple points provides a statistical basis for subsequent calculations that reflects the true level of the environment, avoiding inaccurate baseline settings due to individual outliers.

[0036] After completing one minute of baseline data acquisition, step S130 calls its algorithm program to sum and average all stored baseline point data to establish the "initial baseline value" for smoke recognition. This value is numerically equal to the typical value of the sensor's stable output under the current environment.

[0037] Understandably, by taking the average value, the instantaneous and random interference that may occur during the data acquisition process (such as slight airflow disturbances and small power supply ripples) can be effectively smoothed out, so that the final determined "initial reference value" can better represent the true and stable level of the environment, and minimize the system misjudgment caused by the reference value being set too high (leading to insufficient sensitivity and missed reports) or too low (leading to excessive sensitivity and false alarms).

[0038] After initialization is completed and normal monitoring is entered after steps S110-S130, step S14 continuously collects the latest environmental information through environmental sensors (e.g., every 100ms). In step S150, this information is compared with the initial baseline value determined in step S130. Once it is found that the real-time data is consistently and significantly higher than the initial baseline value (a small hysteresis interval is usually set to prevent critical point jitter), it indicates that the user may have started cooking but has not turned on the range hood 2. At this time, there is already smoke in the kitchen environment. A control command is generated and sent to the range hood 2 through the wireless network to activate the range hood 2 in preparation for timely smoke extraction as the smoke concentration increases. This realizes the proactive service of "sensing and then acting", which solves the problem of oil smoke diffusion caused by the user forgetting to turn on the range hood 2.

[0039] Understandably, based on the portability of the voice interaction device 1, by moving the voice interaction device to different locations, it is possible to accurately detect the fumes in different areas and control the range hood in conjunction with them. For example, the user can place it in the area where the fumes are most concentrated (such as directly above the wok), which makes the detection more sensitive and direct, and can trigger the range hood to work in time before the fumes spread to the entire kitchen, greatly improving the smoke extraction efficiency and improving the air quality in the kitchen.

[0040] In conjunction with the first aspect, after step S150, the following also includes: S160: Acquire the first environmental data collected by the environmental sensor.

[0041] S170 dynamically adjusts the operating mode of the smoke hood based on the smoke concentration and baseline value in the first environmental data.

[0042] The first environmental data refers to a batch of real-time environmental data newly acquired by the environmental sensor after the range hood 2 is turned on. It represents the latest state of the kitchen environment when the smoke extraction has started, and truly reflects the actual change in the smoke concentration in the kitchen under the intervention of the exhaust system. Subsequently, in step S170, based on the environmental feedback (first environmental data), the operating state of the range hood is changed in real time and automatically, specifically controlling its motor speed to switch to the target airflow level.

[0043] In conjunction with the first aspect, step S170 includes: S171, calculate the difference between the smoke concentration in the first environmental data and the baseline value.

[0044] S172, based on the preset difference-airflow level mapping relationship, determines the corresponding target airflow level.

[0045] S173 controls the range hood to operate at the target airflow level.

[0046] After acquiring the "first environmental data," step S171 sends the instantaneous smoke concentration value to the comparison unit and subtracts it from the "baseline value," which serves as a clean air reference point. This calculation process is continuous (e.g., several times per second), generating a continuously changing difference signal. The larger this difference, the greater the deviation of the real-time environment from a clean state, indicating a more intense generation of fumes. By calculating the difference, it is possible to clearly distinguish between the two distinct situations of "just a trace of fumes" and "fumes exceeding the limit," thus allowing for different levels of control measures.

[0047] For example, if the baseline value is 50 AD and the first environmental data collected is 120 AD, then the difference is 70 AD. The mapping relationship pre-stored in this application is as follows: If the difference is 0-30 (low concentration of oil fumes), then the air volume level is 1 (low setting, such as 100m3 / h). If the difference is 31-80 (medium concentration of oil fumes), then the air volume level is 2 (medium setting, such as 200m3 / h). If the difference is 81 or higher (high concentration of oil fumes), the air volume level is 33 (high level such as 300m3 / h).

[0048] At this point, based on the difference of 70AD, it can be determined that the air volume level should be 2.

[0049] Subsequently, step S172 uses the calculated real-time "difference" as input to query a preset "mapping relationship." This mapping relationship can be a simple lookup table or a mathematical function. Through table lookup or calculation, a definite "target airflow level" is quickly output. This process is a typical engineering implementation of "if-then" logical judgment: if the difference falls within a certain range, then the corresponding airflow level is executed.

[0050] Once the "target airflow level" is determined in step S172, a standardized control command frame is generated. This command frame is sent to the receiver of the range hood 2 via a wireless communication module (such as Wi-Fi or Bluetooth). After decoding the command, the controller of the range hood 2 drives its motor drive circuit, adjusting the power supply voltage or frequency (for AC motors) or using PWM (Pulse Width Modulation) (for DC motors), so that step S173 precisely stabilizes the motor speed and exhaust volume at the state required by the "target airflow level".

[0051] In conjunction with the first aspect, after step S170, the following also includes: S180: Acquire second environmental data collected by the environmental sensor.

[0052] S190, If the smoke concentration in the second environmental data remains below the baseline value for a predetermined duration, cooking is deemed to have ended.

[0053] The S200 controls the smoke hood to stop running.

[0054] The second environmental data refers to the latest environmental data continuously collected from the environmental sensor during the process of dynamically adjusting the air volume of the range hood 2 (step S170). It reflects the environmental status under the continuous operation and intervention of the exhaust system. This data is the direct basis for judging whether cooking activities are still continuing and whether the exhaust demand still exists.

[0055] Step S190 performs real-time analysis of the second environmental data acquired in S180. It's important to understand that this analysis doesn't rely solely on a single data point; instead, it initiates a timing logic: when the smoke concentration value drops below a baseline value, a timer begins; if the smoke concentration does not significantly exceed the baseline value again within the predetermined time, the logic determines that "cooking is over." If the concentration rises again during this period, the timer resets. The predetermined time is an empirical value used to confirm that fumes are no longer continuously generated and cooking has indeed stopped; in this embodiment, it is 2 or 3 minutes.

[0056] When the determination condition of S190 is met (i.e., "cooking is finished" is true), the main controller will generate a standard shutdown command. This command is sent to the range hood 2 via wireless network. After receiving the command, the controller of the range hood 2 will execute the shutdown process in step S200, stop the fan, and may also turn off auxiliary functions such as lights at the same time.

[0057] Through steps S180-S200, the end of cooking activities can be accurately detected, and the exhaust equipment can be automatically and reliably stopped, thus completing a complete intelligent closed loop from start-up, adjustment to shutdown. This improves convenience while achieving ultimate energy efficiency management.

[0058] Combination Figure 2 As shown, in this embodiment, the voice interaction device 1 is a smart speaker, and the environmental sensor is a smoke sensor. After the system starts, it first controls the smoke sensor to preheat for a first period of time (e.g., 4 minutes) to stabilize its output signal. After preheating, it collects multiple environmental reference points within a second period of time (e.g., 1 minute) and calculates their average value as the initial reference value, effectively suppressing signal fluctuations and ensuring the reliability of the reference. Subsequently, it enters a continuous monitoring state to acquire environmental data in real time. Once the smoke concentration is detected to exceed the initial reference value, it indicates the presence of smoke, and then the smoke machine 2 is activated via wireless signal to achieve "seamless" automatic smoke extraction. If no smoke is detected, the smoke machine 2 remains in its original state.

[0059] During the operation of range hood 2, environmental changes are continuously monitored, and the system enters the intelligent control phase: by calculating the difference between the real-time smoke concentration and the baseline value (i.e., the presence of smoke changes), and based on the preset difference-airflow level mapping relationship, the airflow level of range hood 2 is dynamically adjusted to achieve on-demand ventilation, energy saving, and noise reduction. When the system detects that the smoke concentration has been continuously lower than the baseline value for a predetermined period of time, it determines that cooking has ended and automatically controls range hood 2 to stop operating, forming a complete closed-loop control from start-up, adjustment to shutdown.

[0060] This invention achieves intelligent management of kitchen fumes and air quality through mobile detection, precise benchmark calibration, dynamic airflow adjustment, and automatic closed-loop control, significantly improving smoke extraction efficiency, user experience, and kitchen safety.

[0061] In conjunction with the first aspect, after step S200, the following also includes: S210 continuously acquires third-party environmental data collected by environmental sensors.

[0062] S230, if the difference between the smoke concentration value in the third environmental data and the benchmark value is less than or equal to the first preset threshold, continuously collect a second number of environmental data points.

[0063] S240, calculate the average value of the second number of environmental data points.

[0064] S250 updates the baseline value to the average value.

[0065] The third environmental data refers to the new round of environmental data continuously collected from environmental sensors after the range hood 2 stops operating (i.e., after a complete cooking smoke extraction cycle ends). It represents the state of the kitchen environment when it has returned to a calm state with no active pollution sources.

[0066] The first preset threshold is a set, relatively small tolerance range value used to determine whether the current environment is sufficiently stable and clean. When the difference between the real-time data and the baseline value is less than this threshold, it indicates that the environment is not fluctuating drastically and is within an ideal calibration window.

[0067] After the range hood 2 automatically shuts off due to the end of cooking in step S200, the calibration function for the reference value is activated. At this time, S210 continues to be executed, continuously acquiring third environmental data and silently monitoring the recovery of the environment. This batch of new data is compared with the currently used reference value (understandably, if this is the first execution of steps S110-S200, then the currently used reference value is the initial reference value determined in step S130). When the condition of S230 is met, that is, the difference between the smoke concentration value and the reference value is continuously less than or equal to the first preset threshold, it indicates that the environment has been in a stable and clean state for a long time (indirectly defined by the threshold and continuous sampling logic).

[0068] At this point, it is determined that it is an excellent time to recalibrate the baseline value. Therefore, it continuously collects a second number of environmental data points (which can be adjusted according to actual needs; in this embodiment, the number is 60) to obtain a set of high-quality samples that are sufficient to represent the current new environmental background value. Subsequently, step S240 calculates the average value of this set of new data points and finally uses this new average value to overwrite and update the original baseline value, completing a self-calibration of the baseline value.

[0069] The characteristics of environmental sensors (especially semiconductor sensors) change slowly with temperature, humidity, time, and the effects of oil fume pollution itself, causing their original output signal to "drift". By periodically recalibrating the reference value in a known stable clean environment through steps S210-S250, this drift can be actively tracked and compensated for, adapting to changes in the kitchen environment and ensuring that the smoke recognition algorithm maintains extremely high accuracy throughout the entire life cycle of the device.

[0070] In this embodiment, the voice interaction device 1 is a speaker, and the environmental sensor is a smoke detector. Combined with... Figure 3 As shown, the smoke machine 2 has stopped operating, and the system is in a stable monitoring state. After the process starts, the AD value (analog-to-digital conversion value) is read every t3 seconds, which is the raw output signal of the environmental sensor. Here, "t3 seconds" sets a reasonable sampling interval, which can capture the changing trend of the environment while avoiding the waste of system resources caused by overly frequent sampling. The newly read AD value (denoted as B) is compared with the currently used reference value A. The core purpose is to determine whether the current environment is stable enough to meet the conditions for recalibration. For this purpose, the system sets a positive and negative fluctuation value n4 as the allowable deviation range. If the comparison value B exceeds the range of n4, it indicates that new fluctuations or interference have occurred in the environment (such as new oil fumes, personnel movement, etc.), and the current environment is not suitable for calibration. Then, the previous historical values ​​are cleared and the counting is restarted, the current calibration cycle is abandoned, and the system waits for the next sampling. If the comparison value B is within the range of n4, it indicates that the current environmental signal is stable and close to the reference state. The current AD value is retained and included in a candidate data sequence.

[0071] The system then determines whether n5 AD values ​​have been obtained consecutively, and whether these values ​​all meet the stability requirement within the range of n4. If not, the process continues to collect and evaluate data. If n5 values ​​have been obtained consecutively, this indicates that the environment has remained highly stable for a certain period of time (t3 × n5 seconds). The system then calculates the average of these n5 AD values ​​multiplied by 2. The purpose of averaging is to further smooth out any possible minor random noise and obtain a more reliable value that better represents the current stable environmental background level.

[0072] After obtaining the candidate mean x2, the system does not immediately update the baseline value, but instead performs a final, careful verification. It compares the mean x2 with the current baseline value A, calculates the difference C, and determines whether this difference is within the allowable range of another positive / negative fluctuation value n6. If the difference C exceeds the n6 range, it may indicate a sudden change in the sensor or an abnormal state. To avoid erroneous updates, the system refuses to use the mean x2 to update the baseline value. If the difference C is within the n6 range, this confirms an acceptable and reasonable drift between the new environmental background value and the old baseline value. Only then does the system finally select the current mean x2 to update the baseline value A, completing a full and reliable baseline self-calibration.

[0073] In conjunction with the first aspect, the voice interaction device 1 is also used to detect the gas concentration; the method further includes: S310: Obtain the gas concentration in the real-time environmental data collected by environmental sensors in each area of ​​the cooking environment at the current location.

[0074] S320: If the gas concentration is greater than the preset gas concentration threshold, a linkage control command is generated. The linkage control command is used to close the gas valve of the gas stove or gas water heater.

[0075] Understandably, users can place multiple such devices in different key areas of the kitchen (such as next to the gas stove, near the gas water heater, or in poorly ventilated corners) to form a distributed monitoring network. The data collected by each device at its "current location" collectively constitutes a comprehensive, blind-spot-free monitoring of the cooking environment.

[0076] In step S310, while continuously monitoring for smoke, a gas monitoring task is performed in parallel. It acquires the gas concentration in real-time environmental data collected by environmental sensors in various areas of the cooking environment at the current location, and periodically or continuously reads the data from the gas sensors in all online voice interaction devices.

[0077] Subsequently, step S320 rigorously compares the acquired real-time gas concentration value with a preset gas concentration threshold. If the data from any monitoring point exceeds the safety threshold, the highest priority alarm and linkage process is immediately triggered: a linkage control command is generated. This command is precisely sent via wireless network to the gas stove or gas water heater where the leak occurred, or simultaneously to all relevant gas appliances in the kitchen. Upon receiving the command, the appliance immediately activates its gas valve to close, automatically cutting off the gas supply in a very short time.

[0078] In this way, the deployment flexibility of the mobile voice interaction device 1 is fully utilized, integrating the detection and handling of gas leaks into one, realizing a qualitative change from passive alarm to active intervention, and significantly enhancing the practical value and safety assurance capabilities of the product.

[0079] In conjunction with the first aspect, the bottom of the voice interaction device 1 is equipped with a magnetic structure, which is used to attach and fix it to the metal surface in the kitchen.

[0080] The magnetic attraction structure refers to the components consisting of permanent magnets (such as neodymium iron boron strong magnets) and magnetic conductive sheets installed at the bottom or back of the voice interaction device 1. This structure can generate a strong attraction force with the surface of ferromagnetic metals such as iron, cobalt, and nickel.

[0081] When the user brings the bottom of the voice interaction device 1 close to any metal surface in the kitchen (such as a refrigerator door, range hood panel, or metal cabinet light), a direct magnetic attraction is generated between the magnet at the bottom and the metal. This attraction is strong enough to overcome the device's own weight and any minor external forces it may encounter, allowing it to firmly adhere to or stick to the surface without any tools or adhesives.

[0082] The magnetic structure provides users with deployment flexibility. Users can easily attach the device to the location where cooking fumes are most concentrated (e.g., directly onto the range hood panel above the cooktop), achieving precise source detection – "place it where there's fumes." Compared to fixed sensors, this can detect changes in fumes earlier and more sensitively, making the entire system's detection and control response more timely and accurate. The magnetic structure offers a convenient, plug-and-play fixing method, ensuring device stability during operation, preventing slippage due to countertop vibration or contact, and giving users complete freedom to change its position at any time. Compared to the cumbersome drilling and potential adhesive residue of traditional installations, the magnetic method is incredibly convenient, clean, and non-invasive, greatly improving product usability and user acceptance. Figure 4 As shown, the stove 4 serves as both a heat source and a source of pollution, with the cooking equipment (pot) 3 on it being the direct source of oil fumes. The range hood 2, acting as the exhaust mechanism, is suspended directly above the stove 4. The voice interaction device 1, through its magnetic structure at the bottom, is securely attached to the panel of the range hood 2, positioning it precisely above and at the beginning of the upward path of the oil fumes generated by the cooking equipment 3. This location represents the golden detection point where the oil fume concentration is highest, most concentrated, and not diluted by the air. Compared to fixed sensors installed in kitchen corners, this deployment allows the environmental sensor to capture the initial generation and subtle changes in oil fumes with the highest sensitivity and fastest speed, providing the highest quality raw signal for rapid response and accurate judgment.

[0083] Secondly, this application also provides a voice interaction device and a kitchen appliance linkage device, wherein the voice interaction device 1 is an independent movable device and has a built-in environmental sensor. Combined with... Figure 5As shown, the device includes: a response module 10, a data acquisition module 20, a calculation module 30, an acquisition module 40, and a control module 50.

[0084] The response module 10 is used to control the environmental sensor to preheat for a first period of time in response to the power-on of the voice interaction device.

[0085] The acquisition module 20 is used to continuously acquire information from multiple reference points for a second duration after the preheating is completed.

[0086] The calculation module 30 is used to calculate the average value of multiple reference point information to obtain the initial reference value.

[0087] The acquisition module 40 is used to acquire real-time environmental data collected by the environmental sensors.

[0088] The control module 50 is used to start the smoke generator if the smoke concentration in the real-time environmental data is greater than the initial reference value.

[0089] Thirdly, embodiments of this application provide an electronic device, combined with Figure 6 As shown, the electronic device includes a memory 131 and a processor 130. The memory 131 stores a computer program, and the processor 130 runs the computer program to make the electronic device perform the above-described method.

[0090] Furthermore, combined Figure 6 The electronic device shown also includes a bus 132 and a communication interface 133, with the processor 130, the communication interface 133 and the memory 131 connected via the bus 132.

[0091] The memory 131 may include high-speed random access memory (RAM) and may also include non-volatile memory, such as at least one disk storage device. Communication between this system network element and at least one other network element is achieved through at least one communication interface 133 (which can be wired or wireless), such as the Internet, wide area network, local area network, metropolitan area network, etc. The bus 132 may be an ISA bus, PCI bus, or EISA bus, etc. The bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 6 The symbol is represented by a single double-headed arrow, but this does not mean that there is only one bus or one type of bus.

[0092] Processor 130 may be an integrated circuit chip with signal processing capabilities. In implementation, each step of the above method can be completed by the integrated logic circuitry in the hardware of processor 130 or by instructions in software form. Processor 130 may be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this invention. The general-purpose processor may be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of this invention can be directly manifested as execution by a hardware decoding processor, or execution by a combination of hardware and software modules in the decoding processor. The software module can reside in a mature storage medium in the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, or registers. This storage medium is located in memory 131, and processor 130 reads the information in memory 131 and, in conjunction with its hardware, completes the steps of the method described in the foregoing embodiments.

[0093] Fourthly, embodiments of this application provide a readable storage medium storing computer program instructions, which are read and executed by a processor to perform the above-described method.

[0094] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the system and apparatus described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0095] Furthermore, in the description of the embodiments of the present invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in the present invention based on the specific circumstances.

[0096] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, essentially, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0097] In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0098] Finally, it should be noted that the above embodiments are merely specific implementations of the present invention, used to illustrate the technical solutions of the present invention, and not to limit it. The scope of protection of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments within the technical scope disclosed in the present invention, or make equivalent substitutions for some of the technical features; and these modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for linking a voice interaction device with kitchen appliances, characterized in that, The voice interaction device is an independent mobile device with a built-in environmental sensor, and the method includes: In response to the power-on of the voice interaction device, the environmental sensor is controlled to preheat for a first duration; After the preheating is completed, information from multiple reference points will be collected for a second consecutive period of time. Calculate the average value of the multiple reference point information to obtain the initial reference value; Acquire real-time environmental data collected by the environmental sensors; If the smoke concentration in the real-time environmental data is greater than the initial baseline value, the smoke generator will be started.

2. The method according to claim 1, characterized in that, If the smoke concentration in the real-time environmental data is greater than the initial baseline value, then after the step of controlling the smoke generator to start, the following steps are also included: Acquire the first environmental data collected by the environmental sensor; Based on the smoke concentration in the first environmental data and the baseline value, the working mode of the smoke machine is dynamically adjusted.

3. The method according to claim 2, characterized in that, The step of dynamically adjusting the operating mode of the smoke hood based on the smoke concentration in the first environmental data and the baseline value includes: Calculate the difference between the smoke concentration in the first environmental data and the baseline value; Based on the preset difference-airflow level mapping relationship, the corresponding target airflow level is determined; Control the smoke hood to operate at the target air volume level.

4. The method according to claim 2, characterized in that, After the step of dynamically adjusting the operating mode of the smoke hood based on the smoke concentration in the first environmental data and the baseline value, the method further includes: Acquire the second environmental data collected by the environmental sensor; If the smoke concentration in the second environmental data remains below the baseline value for a predetermined duration, cooking is considered complete. Control the smoke machine to stop running.

5. The method according to claim 1, characterized in that, After the step of controlling the smoke hood to stop operating, the method further includes: Continuously acquire third environmental data collected by the environmental sensors; If the difference between the smoke concentration value in the third environmental data and the benchmark value is less than or equal to the first preset threshold, a second number of environmental data points are continuously collected. Calculate the average value of the second number of environmental data points; Update the baseline value to the average value.

6. The method according to claim 1, characterized in that, The voice interaction device is also used to detect gas concentration; the method further includes: The concentration of gas in the real-time environmental data collected by the environmental sensors in each area of ​​the cooking environment at the current location is obtained; If the gas concentration is greater than a preset gas concentration threshold, a linkage control command is generated, which is used to shut off the gas valve of the gas stove or gas water heater.

7. The method according to claim 1, characterized in that, The bottom of the voice interaction device is equipped with a magnetic structure, which is used to attach and fix it to a metal surface in the kitchen.

8. A voice interaction device and a kitchen appliance linkage device, characterized in that, The voice interaction device is an independent mobile device with a built-in environmental sensor. The device includes: The response module is used to control the environmental sensor to preheat for a first duration in response to the power-on of the voice interaction device; The data acquisition module is used to continuously acquire information from multiple reference points for a second duration after the preheating is completed; The calculation module is used to calculate the average value of the multiple reference point information to obtain an initial reference value; The acquisition module is used to acquire real-time environmental data collected by the environmental sensors; The control module is used to start the smoke generator if the smoke concentration in the real-time environmental data is greater than the initial reference value.

9. An electronic device, characterized in that, The electronic device includes a memory and a processor, the memory storing a computer program and the processor running the computer program to cause the electronic device to perform the method of any one of claims 1 to 7.

10. A storage medium, characterized in that, The storage medium stores computer program instructions, which, when read and executed by a processor, perform the method described in any one of claims 1 to 7.

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