Intelligent control method based on gas thermal plume detection, intelligent range hood and system

Abstract

The invention relates to an intelligent control method based on gas thermal plume detection, an intelligent range hood and a system, and the method comprises the steps: obtaining a thermal image sequence after the intelligent range hood is started; the thermal image sequence is obtained by continuously detecting thermal plume generated during combustion of the gas stove; based on the thermal image sequence, analyzing the motion condition of thermal plaques in the thermal image sequence so as to calculate the rising speed of the thermal plume; based on the rising speed, the working gear of the intelligent range hood is adjusted, the problem that the control reliability of the intelligent range hood in range hood and stove linkage is poor is solved, the non-contact monitoring precision and efficiency of the working state of the gas stove can be improved by detecting the hot plume generated by gas combustion, lampblack and waste gas in a kitchen are exhausted in time, and the safety of the kitchen is improved. The reliability of intelligent control of the intelligent range hood is improved, and better cooking experience is provided for users.

Description

Technical Field

[0001] This application relates to the field of intelligent range hood technology, and in particular to an intelligent control method, intelligent range hood and system based on gas thermal plume detection. Background Technology

[0002] In residential and commercial kitchen environments, the coordinated operation of range hoods and gas stoves is crucial for enhancing the cooking experience and ensuring indoor air quality. Gas stoves generate a significant amount of fumes and heat during ignition and combustion, especially during high-heat cooking methods such as stir-frying, where fume emissions are even more pronounced. If the range hood cannot effectively and promptly remove these pollutants, it will not only affect the kitchen environment but may also pose a threat to human health.

[0003] Currently, existing solutions involve installing infrared thermometers on range hoods to non-contactly measure the temperature of pots and burners above the cooktop. The on / off status of the cooktop is determined based on temperature changes to control the range hood's operation and airflow. However, this solution measures the average temperature over a large area of ​​the cooktop surface. Localized temperature increases during opening and closing have little impact on the measurement results. Furthermore, when the pot lid is on, the measured value is easily averaged by the surrounding cooler areas. Therefore, existing solutions often fail to accurately reflect the cooktop's operating status, leading to delayed airflow adjustments or accidental shutdowns of the range hood, and an inability to promptly remove harmful gases.

[0004] There is currently no effective solution to the problem of poor control reliability of range hoods in the linkage between range hoods and stoves in related technologies. Summary of the Invention

[0005] This embodiment provides an intelligent control method, an intelligent range hood and system based on gas thermal plume detection, to solve the problem of poor control reliability of range hoods in related technologies.

[0006] Firstly, this embodiment provides an intelligent control method based on the detection of a gas thermal plume, the method comprising:

[0007] After the smart range hood is turned on, a sequence of thermal images is acquired; the sequence of thermal images is obtained by continuously detecting the heat plume generated during combustion of the gas stove; the gas stove and the smart range hood are configured accordingly.

[0008] From the thermal image sequence, the region where the thermal patch is located is segmented to obtain a thermal patch image sequence; based on the thermal patch image sequence, the movement of the thermal patch is analyzed to obtain the upward velocity of the thermal plume;

[0009] The operating speed of the smart range hood is adjusted based on the rising speed.

[0010] In some embodiments, the region containing the thermal patch is segmented from the thermal image sequence to obtain a thermal patch image sequence, including:

[0011] Based on the thermal plume temperature and background temperature in the experimental data, the temperature threshold was determined.

[0012] By traversing the pixels of the thermal image sequence, pixels with temperature values ​​greater than the temperature threshold are extracted to obtain a thermal patch image sequence.

[0013] In some embodiments, based on the hot patch image sequence, the motion of the hot patches is analyzed to obtain the upward velocity of the hot plume, including:

[0014] In adjacent frames of the hot patch image sequence, a set of velocity vectors for the hot patches is calculated based on multiple successfully matched pairs of hot patches;

[0015] The upward velocity of the thermal plume is calculated based on the set of velocity vectors.

[0016] In some embodiments, in adjacent frames of the hot patch image sequence, based on multiple successfully matched pairs of hot patches, a set of velocity vectors for the hot patches is calculated, including:

[0017] Feature point detection is performed on the hot patch image sequence to obtain the feature points corresponding to each hot patch;

[0018] Calculate the descriptor of the feature point, match the descriptors between adjacent frames, and obtain the successfully matched hot patch;

[0019] Based on the displacement of multiple successfully matched thermal patches, a set of velocity vectors is calculated.

[0020] In some embodiments, the upward velocity of the thermal plume is calculated based on the set of velocity vectors, including:

[0021] Based on the appearance characteristics of the hot spots, the weights corresponding to the hot spots are obtained;

[0022] The rising velocity of the thermal plume is obtained by weighting the corresponding velocity values ​​in the velocity vector set based on the weights.

[0023] In some embodiments, adjusting the operating level of the smart range hood based on the rising speed includes:

[0024] Obtain a pre-calibrated conversion table; wherein, the calibration process of the conversion table includes: detecting the experimental velocity of the hot plume and the experimental flow rate of the gas at different speeds of the smart range hood to obtain the velocity-flow rate correspondence; based on the velocity-flow rate correspondence at different speeds, setting the corresponding target speed, thereby obtaining the conversion table;

[0025] Based on the current setting and the rising speed of the smart range hood, the corresponding target setting is determined from the conversion table;

[0026] Adjust the working level of the smart range hood to the target level.

[0027] In some embodiments, the method further includes:

[0028] From the conversion table, obtain the speed-flow rate correspondence for the current gear.

[0029] Based on the rising speed and the correspondence between speed and flow rate, the current gas flow rate is determined.

[0030] Secondly, this embodiment provides an intelligent range hood, which includes: a fan drive module, an infrared detection module, and a control module;

[0031] The fan drive module is used to operate at different speeds under the control of the control module;

[0032] The infrared detection module is used to continuously detect the heat plume generated during combustion of the gas stove under the control of the control module, and obtain a thermal image sequence.

[0033] The control module is used to implement the steps of the method described in any one of the first aspects.

[0034] In some embodiments, the infrared detection module includes: a sensor and a protective cover;

[0035] The sensor is located below the smart range hood and is aimed at the cooking area of ​​the gas stove to detect the heat plume generated when the gas stove is burning, and to obtain a thermal image sequence.

[0036] The protective cover is installed on the outside of the sensor.

[0037] Thirdly, this embodiment provides an intelligent range hood and stove linkage system, including: an intelligent gas stove and the intelligent range hood as described in any one of the second aspects.

[0038] Compared with related technologies, the intelligent control method, intelligent range hood, and system based on gas thermal plume detection provided in this embodiment acquire a thermal image sequence after the intelligent range hood is turned on. This thermal image sequence is obtained by continuously detecting the thermal plume generated during gas stove combustion. Based on the thermal image sequence, the movement of hot spots is analyzed to calculate the rising speed of the thermal plume. Based on the rising speed, the operating level of the intelligent range hood is adjusted. This solves the problem of poor control reliability of the intelligent range hood in the linkage between the range hood and the stove. By detecting the thermal plume generated by gas combustion, the accuracy and efficiency of non-contact monitoring of the gas stove's operating status are improved, allowing for timely removal of fumes and exhaust gases from the kitchen, enhancing the reliability of intelligent control of the intelligent range hood, and providing users with a better cooking experience.

[0039] Details of one or more embodiments of this application are set forth in the following drawings and description to make other features, objects and advantages of this application more readily apparent. Attached Figure Description

[0040] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0041] Figure 1 This is a hardware structure block diagram of the terminal of the intelligent control method based on gas thermal plume detection in the embodiments of this application;

[0042] Figure 2 This is a flowchart illustrating the intelligent control method based on gas thermal plume detection in the embodiments of this application;

[0043] Figure 3 This is a schematic diagram showing the change in gas flow rate when the gas stove adjusts its flame in an embodiment of this application.

[0044] Figure 4 This is a schematic diagram of the thermal patches in an embodiment of this application;

[0045] Figure 5 This is a schematic diagram of the hot spots during the upward flow of the hot plume in an embodiment of this application;

[0046] Figure 6 This is a schematic diagram of a smart range hood in an embodiment of this application;

[0047] Figure 7 This is a schematic diagram of the cooking state of the smart range hood and smart gas stove after installation in a preferred embodiment of this application.

[0048] Figure 8 This is a structural block diagram of the intelligent control device based on gas thermal plume detection in the embodiments of this application.

[0049] Reference numerals: 102, processor; 104, memory; 106, transmission device; 108, input / output device; 81, thermal image acquisition module; 82, thermal plume velocity calculation module; 83, gear adjustment module. Detailed Implementation

[0050] To better understand the purpose, technical solution, and advantages of this application, the application is described and illustrated below in conjunction with the accompanying drawings and embodiments.

[0051] Unless otherwise defined, the technical or scientific terms used in this application shall have the general meaning understood by one of ordinary skill in the art to which this application pertains. Words such as “a,” “an,” “an,” “the,” “the,” and “these” used in this application do not indicate quantitative limitation and may be singular or plural. The terms “comprising,” “including,” “having,” and any variations thereof used in this application are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or device that comprises a series of steps or modules (units) is not limited to the listed steps or modules (units) but may include steps or modules (units) not listed, or may include other steps or modules (units) inherent to these processes, methods, products, or devices. Words such as “connected,” “linked,” and “coupled” used in this application are not limited to physical or mechanical connections but may include electrical connections, whether direct or indirect. “Multiple” used in this application refers to two or more. “And / or” describes the relationship between related objects, indicating that three relationships may exist; for example, “A and / or B” can represent: A alone, A and B simultaneously, and B alone. Normally, the character " / " indicates that the objects before and after it are in an "or" relationship. The terms "first," "second," "third," etc., used in this application are merely to distinguish similar objects and do not represent a specific order of objects.

[0052] The method embodiments provided in this example can be executed on a terminal, computer, or similar computing device. For example, it can run on a terminal. Figure 1 This is a hardware structure block diagram of the terminal of the intelligent control method based on gas thermal plume detection in this embodiment. (See diagram for details.) Figure 1 As shown, a terminal may include one or more ( Figure 1 Only one is shown in the diagram. A processor 102 and a memory 104 for storing data are also included. The processor 102 may be, but is not limited to, a microprocessor (MCU) or a programmable logic device (FPGA). The terminal may also include a transmission device 106 for communication functions and an input / output device 108. Those skilled in the art will understand that… Figure 1The structure shown is for illustrative purposes only and does not limit the structure of the terminal described above. For example, the terminal may also include components that are larger than... Figure 1 The more or fewer components shown, or having the same Figure 1 The different configurations shown are illustrated.

[0053] The memory 104 can be used to store computer programs, such as application software programs and modules, like the computer program corresponding to the intelligent control method based on gas thermal plume detection in this embodiment. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, thereby implementing the above-described method. The memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor 102, and these remote memories can be connected to the terminal via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0054] The transmission device 106 is used to receive or send data via a network. This network includes a wireless network provided by the terminal's communication provider. In one example, the transmission device 106 includes a Network Interface Controller (NIC), which can connect to other network devices via a base station to communicate with the Internet. In another example, the transmission device 106 can be a Radio Frequency (RF) module used for wireless communication with the Internet.

[0055] This embodiment provides an intelligent control method based on the detection of a gas thermal plume. Figure 2 This is a flowchart of the intelligent control method based on gas thermal plume detection in this embodiment, as shown below. Figure 2 As shown, the process includes the following steps:

[0056] Step S210: After the smart range hood is turned on, acquire a thermal image sequence; the thermal image sequence is obtained by continuously detecting the heat plume generated when the gas stove is burning; the gas stove and the smart range hood are set accordingly.

[0057] Specifically, when the gas stove is turned on, a heat plume will form above the heat source. Based on the heat radiation characteristics and buoyancy principle of the heat plume, the heat plume will rise continuously and dissipate heat. The changes in the heat plume can be captured by an infrared detection module, such as an infrared thermal imager, placed below the smart range hood and aimed at the cooking area.

[0058] Step S220: Segment the region where the hot patch is located from the thermal image sequence to obtain a hot patch image sequence; based on the hot patch image sequence, analyze the movement of the hot patch to obtain the rising velocity of the thermal plume.

[0059] Specifically, the thermal image sequence output by the infrared detection module is analyzed to remove background or human interference, retaining only the pixels corresponding to the thermal plume regions, thus obtaining the thermal plume image sequence. Next, the movement of the thermal plumes is analyzed to determine how the thermal plume changes.

[0060] Step S230: Adjust the working speed of the smart range hood based on the rising speed.

[0061] Specifically, when the gas flow rate of a gas stove increases, the flame burns more intensely, generating more heat. This raises the temperature of the hot plume, increasing buoyancy and causing it to rise faster. Correspondingly, a larger gas flow rate produces more fumes and exhaust gases during cooking, leading to a decrease in air quality in the cooking area. Therefore, the smart range hood needs to be set to a higher operating level to effectively remove these fumes and gases. Conversely, when the gas flow rate decreases, the hot plume rises slower, producing less fumes and exhaust gases. In this case, a higher operating level is not necessary for exhaust, and the smart range hood can be set to a lower level to reduce power consumption. Therefore, the rising speed of the hot plume reflects the gas stove's operating status, allowing for timely adjustments to the smart range hood's operating level. The changes in gas flow rate during gas stove flame adjustment are as follows: Figure 3 As shown.

[0062] In this embodiment, a thermal image sequence is acquired after the smart range hood is turned on. This sequence is obtained by continuously detecting the heat plume generated during gas stove combustion. Based on the thermal image sequence, the movement of hot spots is analyzed to calculate the rising velocity of the heat plume. The operating level of the smart range hood is adjusted based on this rising velocity. This improves the accuracy and efficiency of non-contact monitoring of the gas stove's operating status by detecting the heat plume generated during gas combustion, ensuring timely removal of fumes and exhaust gases from the kitchen. This solves the problem of poor reliability in controlling the smart range hood due to the delayed detection of non-contact detection solutions such as fume sensors or temperature sensors in existing technologies. This embodiment effectively improves kitchen smoke extraction, providing users with a better cooking experience.

[0063] In some embodiments, the region containing the thermal patch is segmented from the thermal image sequence to obtain a thermal patch image sequence, including:

[0064] Step S221: Determine the temperature threshold based on the thermal plume temperature and background temperature in the experimental data.

[0065] Step S222: Traverse the pixels of the thermal image sequence, extract the pixels with temperature values ​​greater than the temperature threshold, and obtain the thermal patch image sequence.

[0066] Specifically, thermal images contain multiple high-temperature areas. To remove interference from the background or human intervention, a threshold is typically set. Based on the temperature range of the thermal plume and the background temperature, a suitable temperature threshold T_threshold is set. For example, if experiments determine the lowest temperature of the thermal plume to be 50℃ and the background temperature to be 30℃, the threshold can be set to 40℃ (to exclude environmental and human interference). Next, each pixel in the thermal image is traversed, and the pixel's temperature T_pixel is compared with the threshold T_threshold. If T_pixel > T_threshold, the pixel is marked as part of a thermal patch; otherwise, it is marked as background or other interference. Thermal patch segmentation can be achieved through matrix operations or pixel-by-pixel traversal. Generally, after segmentation, a pattern like... Figure 4 Isothermal cloud map.

[0067] In some embodiments, the movement of the hot patches is analyzed based on a sequence of hot patch images to obtain the upward velocity of the hot plume, including:

[0068] Step S223: In adjacent frames of the hot patch image sequence, calculate the velocity vector set of the hot patches based on multiple successfully matched hot patches.

[0069] Step S224: Calculate the rising velocity of the thermal plume based on the velocity vector set.

[0070] Specifically, each hot patch image may contain multiple hot patches. In one embodiment, hot patches in adjacent frames can be matched using information such as position, shape, and brightness. A successfully matched hot patch is considered the same hot patch. Based on the displacement and time of each hot patch in the hot patch image sequence, its velocity can be calculated, thus reflecting the rising velocity of the hot plume. The velocity vectors of all hot patches are collected to form a velocity vector set. The rising velocity of the hot plume is obtained by averaging the velocity vectors in the velocity vector set. In one embodiment, the rising velocity is calculated using an arithmetic mean method: v_avg = (1 / n) × Σv_i, where v_avg represents the average velocity vector (i.e., the rising velocity), n represents the number of velocity vectors, and v_i represents the i-th velocity vector.

[0071] In some embodiments, in adjacent frames of a hot patch image sequence, a set of velocity vectors for the hot patches is calculated based on multiple pairs of successfully matched hot patches, including:

[0072] Step S223a: Perform feature point detection on the hot patch image sequence to obtain the feature points corresponding to each hot patch.

[0073] Specifically, such as Figure 5 As shown, thermal plumes typically expand during their ascent, but their shapes remain similar across consecutive frames. Therefore, for segmented thermal patches, algorithms such as Scale Invariant Feature Transform (SIFT) or Speeded Up Robust Features (SURF) are used to detect feature points, thereby identifying feature points with scale invariance and rotation invariance, which are robust to image scaling, rotation, and noise.

[0074] Step S223b: Calculate the descriptor of the feature points, match the descriptors between adjacent frames, and obtain the successfully matched hot spots.

[0075] Specifically, descriptors are used to quantitatively describe the visual appearance (texture, gradient, intensity distribution, etc.) of a local region surrounding a feature point. Nearest neighbor matching or bidirectional matching methods can be used to find matching feature point pairs. To improve matching accuracy, a distance threshold can be set to retain only feature point pairs with a matching distance less than the threshold.

[0076] Step S223c: Based on the displacement of multiple successfully matched thermal patches, a set of velocity vectors is calculated.

[0077] Specifically, for successfully matched thermal patch feature point pairs, their displacements Δx and Δy, or pixel values, in the x and y directions are calculated. For example, assuming the feature point coordinates are (x1, y1) in the previous frame and (x2, y2) in the next frame, then Δx = x2 - x1, Δy = y2 - y1. In this step, specific spatial locations and precise flow velocities are not required; only a relative reference is needed. Next, based on the displacements and the time interval Δt between the thermal patch image sequences, the thermal patch velocity v = (Δx, Δy) / Δt is calculated. The time interval Δt can be determined based on the frame rate of the infrared thermal imager; for example, if the frame rate is 30 frames per second, then Δt = 1 / 30 seconds.

[0078] In this embodiment, robust feature representation of thermal patches enables stable and accurate cross-image correspondence establishment under complex variations, thereby improving matching accuracy.

[0079] In some embodiments, the upward velocity of the thermal plume is calculated based on a set of velocity vectors, including:

[0080] Step S224a: Based on the appearance characteristics of the hot spots, obtain the weights corresponding to the hot spots.

[0081] Step S224b: The velocity values ​​in the velocity vector set are weighted and calculated based on the weights to obtain the rising velocity of the thermal plume.

[0082] Specifically, considering appearance characteristics such as the size and brightness of the feature patches, a weighted average method can be used to calculate the rise rate. For example, weights can be assigned based on the area of ​​the feature patches, with larger patches receiving greater weights. This helps suppress interference from noise patches within hot patches.

[0083] In some embodiments, adjusting the operating level of the smart range hood based on the rising speed includes:

[0084] Step S231: Obtain the pre-calibrated conversion table.

[0085] The calibration process of the conversion table includes:

[0086] Step S310: Under different settings of the smart range hood, the experimental velocity of the hot plume and the experimental flow rate of the gas are detected to obtain the velocity-flow rate correspondence.

[0087] Step S320: Based on the speed-flow correspondence at different gear levels, set the corresponding target gear level to obtain the conversion table.

[0088] Step S232: Based on the current setting and rising speed of the smart range hood, determine the corresponding target setting from the conversion table.

[0089] Step S233: Adjust the working level of the smart range hood to the target level.

[0090] Specifically, the upward velocity of the hot plume is related not only to the gas flow rate but also to the traction airflow after the smart range hood is turned on. The negative pressure generated by the range hood's fan draws in cooking fumes, and this suction effect interferes with the upward buoyancy of the hot plume. Increasing the range hood's fan speed enhances the suction effect on the hot plume, accelerating its upward velocity and potentially altering its diffusion direction and range. Therefore, a table showing the relationship between the hot plume's upward velocity and the gas flow rate can be pre-calibrated for different operating levels (fan speed or airflow) of the smart range hood. Specifically, different gas flow rates can be adjusted at different range hood fan speed settings (e.g., low, medium, high), while simultaneously measuring the corresponding hot plume's upward velocity. Experimental setups can be used to precisely control the gas flow rate and range hood fan speed, and infrared thermal imagers and other measuring tools can be used to acquire data on the hot plume's upward velocity. Then, the combined data of different smart range hood wind speeds, hot plume rise speeds, and gas flow rates were recorded to form a three-dimensional data table, and guidance suggestions for airflow adjustment were added to form a four-dimensional conversion table as shown in Table 1 below.

[0091] Table 1

[0092]

[0093] Since discrete points are marked in the conversion table, when the calculated rate of ascent is between two adjacent values ​​in the table, the target gear can be adjusted according to the larger of the two adjacent discrete values.

[0094] In this embodiment, the influence of the hot plume corresponding to the smart range hood is fully considered, and the conversion table is pre-calibrated to quickly determine the target setting by looking up the table.

[0095] In some of these embodiments, it also includes:

[0096] Step S234: Obtain the speed-flow correspondence for the current gear from the conversion table.

[0097] Step S235: Determine the current gas flow rate based on the rising speed and the correspondence between speed and flow rate.

[0098] Specifically, the gas flow rate can be quickly determined by looking up a table based on the rising speed. When the calculated rising speed falls between two adjacent values ​​in the table, linear interpolation or other interpolation methods can be used to calculate the gas flow rate. The determined current gas flow rate can be used for output display, or for further analysis of the gas stove's operating status and verification of whether the current operating setting of the smart range hood is appropriate.

[0099] See Figure 6 In this embodiment, an intelligent range hood is also provided, which includes a fan drive module, an infrared detection module, and a control module.

[0100] The fan drive module is used to adjust the operating speed under the control of the control module.

[0101] The infrared detection module is used to continuously detect the heat plume generated during combustion of the gas stove under the control of the control module, and obtain a sequence of thermal images.

[0102] The control module is used to implement the steps of the intelligent control method based on gas thermal plume detection in any of the above embodiments.

[0103] In this embodiment, the accuracy and efficiency of non-contact monitoring of the gas stove's operating status can be improved by detecting the heat plume generated by gas combustion, enabling timely removal of fumes and exhaust gases from the kitchen. This solves the problem of poor reliability in controlling smoke in existing technologies due to the delayed detection of non-contact detection methods such as fume sensors or temperature sensors. This embodiment effectively improves kitchen smoke extraction, providing users with a better cooking experience.

[0104] In some embodiments, the infrared detection module includes a sensor and a protective cover.

[0105] The sensor is located on the underside of the smart range hood and is aimed at the cooking area of ​​the gas stove to detect the heat plume generated when the gas stove is burning, and obtain a sequence of thermal images; the sensor is an infrared thermal imager.

[0106] A protective cover is installed outside the sensor to shield it from high temperatures and oil fumes. The cover is made of materials such as glass and quartz that are heat-resistant and have good light transmittance. The temperature resistance exceeds 150℃, which can protect the sensor from oil fume corrosion and high temperature damage without affecting signal transmission.

[0107] In this embodiment, the reliability of data detection is improved by setting a protective cover on the outside of the sensor.

[0108] This embodiment also provides an intelligent range hood and stove linkage system, including: an intelligent gas stove and an intelligent range hood as described in any of the above embodiments.

[0109] In this embodiment, the inherent thermal properties of the hot plume are utilized to solve the problem of insufficient accuracy of non-contact gas flow monitoring without intruding into the gas supply pipeline. This enables indirect measurement of airflow based on combustion dynamics and improves the reliability of the intelligent range hood and stove linkage system.

[0110] The present embodiment will now be described and illustrated through preferred embodiments.

[0111] Figure 7 This is a schematic diagram of the cooking state after the installation of the intelligent range hood and intelligent gas stove in this preferred embodiment. The intelligent range hood and stove linkage system includes: an intelligent gas stove and an intelligent range hood positioned opposite the intelligent gas stove. The intelligent range hood includes: a fan drive module, an infrared detection module, and a control module.

[0112] The fan drive module is used to adjust the operating speed under the control of the control module.

[0113] The infrared detection module includes a sensor and a protective cover. The sensor, an infrared thermal imager, is located below the smart range hood and aimed at the cooking area of ​​the smart gas stove to detect the heat plume generated during combustion, obtaining a thermal image sequence. The protective cover is installed outside the sensor to shield it from high temperatures and cooking fumes. The protective cover is made of heat-resistant, light-transmitting materials such as glass and quartz, with a temperature resistance exceeding 150℃, protecting the sensor from oil fume corrosion and high-temperature damage without affecting signal transmission.

[0114] The control module is used to acquire a thermal image sequence after the smart range hood is turned on. The thermal image sequence is obtained by continuously detecting the hot plume generated during combustion of the smart gas stove. A temperature threshold is determined based on the hot plume temperature and background temperature in the experimental data. The pixels in the thermal image sequence are traversed, and pixels with temperature values ​​greater than the temperature threshold are extracted to obtain a hot patch image sequence. Feature point detection is performed on the hot patch image sequence to obtain the feature points corresponding to each hot patch. The descriptor of the feature points is calculated, and the descriptors between adjacent frames are matched to obtain the successfully matched hot patches. Based on the displacement of multiple pairs of successfully matched hot patches, a velocity vector set is calculated. Based on the appearance features of the hot patches, the weights corresponding to the hot patches are obtained. The velocity values ​​in the velocity vector set are weighted and calculated to obtain the rising velocity of the hot plume. A pre-calibrated conversion table is obtained. Based on the current setting and rising velocity of the smart range hood, the corresponding target setting is determined from the conversion table. The working setting of the smart range hood is adjusted to the target setting.

[0115] The calibration process of the conversion table includes: establishing a table in advance, through experiments, the relationship between the rising velocity of the hot plume and the gas flow rate under different operating levels (or speeds, air volumes) of the smart range hood. For example, under different gas flow rates (e.g., 0.5m... 3 / h, 1.0m 3 / h, 1.5m 3 (e.g., / h), measure the corresponding rising velocity of the thermal plume and record it in a table. Based on the velocity-flow correspondence at different speed levels, set the corresponding target speed level to obtain a conversion table.

[0116] The aforementioned control module is also used to obtain the speed-flow rate correspondence for the current gear from the conversion table; and to determine the current gas flow rate based on the rising speed and the speed-flow rate correspondence. If the measured rising speed falls between two adjacent values ​​in the table, linear interpolation or other interpolation methods can be used to calculate the gas flow rate.

[0117] In this preferred embodiment, the inherent thermal characteristics of the hot plume are utilized to solve the problem of insufficient accuracy of non-contact gas flow monitoring without intruding into the gas supply pipeline. This enables indirect measurement of airflow based on the dynamic characteristics of combustion. Furthermore, the hot plume and gas volume are pre-calibrated at different fan speeds or settings of the smart range hood, thus avoiding interference with the hot plume after the smart range hood is turned on and improving the accuracy of the judgment.

[0118] It should be noted that the steps shown in the above process or in the flowchart of the accompanying figures can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases the steps shown or described may be executed in a different order than that shown here.

[0119] This embodiment also provides an intelligent control device based on the detection of a hot gas plume. This device is used to implement the above embodiments and preferred embodiments, and details already described will not be repeated. The terms "module," "unit," "subunit," etc., used below refer to combinations of software and / or hardware that achieve a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0120] Figure 8 This is a structural block diagram of the intelligent control device based on gas thermal plume detection in this embodiment, as shown below. Figure 8 As shown, the device includes: a thermal image acquisition module 81, a thermal plume velocity calculation module 82, and a gear adjustment module 83.

[0121] The thermal image acquisition module 81 is used to acquire a thermal image sequence after the smart range hood is turned on; the thermal image sequence is obtained by continuously detecting the heat plume generated during the combustion of the gas stove; the gas stove and the smart range hood are set accordingly.

[0122] The thermal plume velocity calculation module 82 is used to segment the region where the thermal patches are located from the thermal image sequence to obtain a thermal patch image sequence; based on the thermal patch image sequence, the motion of the thermal patches is analyzed to obtain the upward velocity of the thermal plume.

[0123] The gear adjustment module 83 is used to adjust the working gear of the smart range hood based on the rising speed.

[0124] It should be noted that the above modules can be functional modules or program modules, and can be implemented through software or hardware. For modules implemented through hardware, the above modules can reside in the same processor; or the above modules can be located in different processors in any combination.

[0125] Furthermore, in conjunction with the intelligent control method based on gas thermal plume detection provided in the above embodiments, this embodiment can also provide a storage medium for implementation. This storage medium stores a computer program; when executed by a processor, the computer program implements any of the intelligent control methods based on gas thermal plume detection in the above embodiments.

[0126] It should be understood that the specific embodiments described herein are merely illustrative of the application and not intended to limit it. All other embodiments derived by those skilled in the art based on the embodiments provided in this application without inventive effort are within the scope of protection of this application.

[0127] Obviously, the accompanying drawings are merely some examples or embodiments of this application. Those skilled in the art can apply this application to other similar situations based on these drawings without any creative effort. Furthermore, it is understood that although the work done in this development process may be complex and lengthy, for those skilled in the art, certain design, manufacturing, or production modifications made based on the technical content disclosed in this application are merely conventional technical means and should not be considered as insufficient disclosure of this application.

[0128] The term "embodiment" in this application refers to a specific feature, structure, or characteristic described in connection with an embodiment that may be included in at least one embodiment of this application. The appearance of this phrase in various places in the specification does not necessarily imply the same embodiment, nor does it imply that it is mutually exclusive with or independent of other embodiments. It will be clearly or implicitly understood by those skilled in the art that the embodiments described in this application may be combined with other embodiments without conflict.

[0129] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of patent protection. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the appended claims.

Claims

1. An intelligent control method based on the detection of a gas thermal plume, characterized in that, The method is applied to a smart range hood, and the method includes: After the smart range hood is turned on, a sequence of thermal images is acquired; the sequence of thermal images is obtained by continuously detecting the heat plume generated during combustion of the gas stove; the gas stove and the smart range hood are configured accordingly. From the thermal image sequence, the region where the thermal patch is located is segmented to obtain a thermal patch image sequence; based on the thermal patch image sequence, the movement of the thermal patch is analyzed to obtain the upward velocity of the thermal plume; The operating speed of the smart range hood is adjusted based on the rising speed.

2. The intelligent control method based on gas thermal plume detection according to claim 1, characterized in that, From the thermal image sequence, the regions containing thermal patches are segmented to obtain a thermal patch image sequence, including: Based on the thermal plume temperature and background temperature in the experimental data, the temperature threshold was determined. By traversing the pixels of the thermal image sequence, pixels with temperature values ​​greater than the temperature threshold are extracted to obtain a thermal patch image sequence.

3. The intelligent control method based on gas thermal plume detection according to claim 1, characterized in that, Based on the image sequence of the thermal patches, the motion of the thermal patches is analyzed to obtain the upward velocity of the thermal plume, including: In adjacent frames of the hot patch image sequence, a set of velocity vectors for the hot patches is calculated based on multiple successfully matched pairs of hot patches; The upward velocity of the thermal plume is calculated based on the set of velocity vectors.

4. The intelligent control method based on gas thermal plume detection according to claim 3, characterized in that, In adjacent frames of the hot patch image sequence, based on multiple successfully matched pairs of hot patches, a set of velocity vectors for the hot patches is calculated, including: Feature point detection is performed on the hot patch image sequence to obtain the feature points corresponding to each hot patch; Calculate the descriptor of the feature point, match the descriptors between adjacent frames, and obtain the successfully matched hot patch; Based on the displacement of multiple successfully matched thermal patches, a set of velocity vectors is calculated.

5. The intelligent control method based on gas thermal plume detection according to claim 3, characterized in that, Based on the set of velocity vectors, the upward velocity of the thermal plume is calculated, including: Based on the appearance characteristics of the hot spots, the weights corresponding to the hot spots are obtained; The rising velocity of the thermal plume is obtained by weighting the corresponding velocity values ​​in the velocity vector set based on the weights.

6. The intelligent control method based on gas thermal plume detection according to claim 1, characterized in that, Adjusting the operating level of the smart range hood based on the rising speed includes: Obtain a pre-calibrated conversion table; wherein, the calibration process of the conversion table includes: detecting the experimental velocity of the hot plume and the experimental flow rate of the gas at different speeds of the smart range hood to obtain the velocity-flow rate correspondence; based on the velocity-flow rate correspondence at different speeds, setting the corresponding target speed, thereby obtaining the conversion table; Based on the current setting and the rising speed of the smart range hood, the corresponding target setting is determined from the conversion table; Adjust the working level of the smart range hood to the target level.

7. The intelligent control method based on gas thermal plume detection according to claim 6, characterized in that, The method further includes: From the conversion table, obtain the speed-flow rate correspondence for the current gear. Based on the rising speed and the correspondence between speed and flow rate, the current gas flow rate is determined.

8. A smart range hood, characterized in that, The intelligent range hood includes: a fan drive module, an infrared detection module, and a control module; The fan drive module is used to operate at different speeds under the control of the control module; The infrared detection module is used to continuously detect the heat plume generated during combustion of the gas stove under the control of the control module, and obtain a thermal image sequence. The control module is used to implement the steps of the method according to any one of claims 1 to 7.

9. The intelligent range hood according to claim 8, characterized in that, The infrared detection module includes: a sensor and a protective cover; The sensor is located below the smart range hood and is aimed at the cooking area of ​​the gas stove to detect the heat plume generated when the gas stove is burning, and to obtain a thermal image sequence. The protective cover is installed on the outside of the sensor.

10. An intelligent range hood and stove linkage system, characterized in that, include: The intelligent gas stove and the intelligent range hood according to any one of claims 8 to 9.

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