High-thermal-efficiency cooking range based on infrared monitoring intelligent adjustment

Abstract

The invention relates to the technical field of high-thermal-efficiency cooking ranges, and discloses a high-thermal-efficiency cooking range based on infrared monitoring intelligent adjustment, the high-thermal-efficiency cooking range comprises a hardware part, a software part and a cooking bench part, the hardware part comprises a high-speed proportional valve, an infrared probe and a fan; the software part comprises an infrared temperature field detection module used for acquiring a temperature signal of gas in the cooking bench part in the combustion process through an infrared probe; the sine wave gas control module is used for sending sine wave signals to the high-speed proportional valve, and then the gas flow is modulated into sine waves through the high-speed proportional valve. Through cooperative control of gas flow modulation through sine waves and dynamic monitoring of an infrared temperature field, gas and air are mixed more sufficiently, and heat loss caused by incomplete combustion is effectively reduced. Compared with a traditional fixed flow gas supply mode, the system has the advantages that the combustion efficiency can be improved to a higher level, the cooking time is remarkably shortened, and the gas consumption is reduced.

Description

Technical Field

[0001] This invention relates to the field of high thermal efficiency stove technology, and in particular to a high thermal efficiency stove based on infrared monitoring and intelligent adjustment. Background Technology

[0002] Traditional gas stoves generally suffer from low combustion efficiency, primarily due to an imbalance in the air-fuel ratio caused by a fixed gas flow rate, leading to incomplete combustion (such as carbon monoxide formation) and heat waste. Furthermore, traditional control strategies are slow to respond and struggle to correct transient combustion anomalies in a timely manner, resulting in thermal efficiency consistently below reasonable levels.

[0003] An existing patent discloses an intelligent control system for gas and airflow in a stove (publication number CN112303679B), including a controller, a display screen, a burner head, a gas control system, an airflow control system, and a flame control handle. The gas control system includes a gas manifold, a main valve, a flame control valve, a flame tube, an electronic proportional control valve, and a main gas pipe. The gas manifold is connected to the main valve via a pipe. A pressure stabilizing valve is installed on the pipe between the gas manifold and the main valve. The outlet of the flame control valve is connected to the proportional control valve and the flame tube of the electronic proportional control valve via a three-way connector. The exhaust ports of the first and second main flame valves of the electronic proportional control valve are respectively connected to the main gas pipe via pipes. The airflow control system includes a DC speed-regulating fan connected to the burner head via a pipe. Existing infrared monitoring technologies are mostly limited to flameout protection functions and fail to correlate with combustion status for dynamic control. Methods based on flame color or single-point temperature detection are easily affected by ambient light and cannot distinguish between true oxygen-deficient combustion and misjudgments caused by external airflow disturbances. Summary of the Invention

[0004] This invention provides a high-efficiency stove based on infrared monitoring and intelligent adjustment to solve existing technical problems, thus addressing the issue that a single indicator is easily misjudged by airflow disturbances.

[0005] To solve the above-mentioned technical problems, according to one aspect of the present invention, more specifically, a high thermal efficiency stove based on infrared monitoring and intelligent adjustment includes a hardware part, a software part, and a stove part, wherein the hardware part includes a high-speed proportional valve, an infrared probe, and a fan.

[0006] The software component includes:

[0007] The infrared temperature field detection module is used to acquire the temperature signal of the gas in the stove part during the combustion process through an infrared probe;

[0008] The sine wave gas control module is used to send a sine wave signal to the high-speed proportional valve, which then modulates the gas flow into a sine wave.

[0009] The combustion efficiency diagnostic model generation module constructs an efficiency evaluation index based on the sinusoidal correlation between temperature signal and gas input, and generates a combustion efficiency diagnostic model by fitting the relationship between the efficiency evaluation index and the heating time of the same item.

[0010] The model parameter optimization module optimizes the sensitivity parameters of the combustion efficiency diagnostic model based on the combustion efficiency diagnostic model and the environment in which the high thermal efficiency stove is located.

[0011] The dynamic feedback control module analyzes whether the fan speed needs to be increased based on the sine wave signal sent to the high-speed proportional valve and the temperature change detected by the infrared probe, and feeds back the command to increase the fan speed to the fan.

[0012] Furthermore, the infrared probe specifically includes infrared sensor A, infrared sensor B, infrared sensor C, infrared sensor D, and infrared sensor E, and infrared sensor A, infrared sensor B, infrared sensor C, infrared sensor D, and infrared sensor E are arranged in a ring array.

[0013] Furthermore, the infrared temperature field detection module acquires temperature signals with wavelengths of 3~5μm.

[0014] Furthermore, the sinusoidal signal sent by the sinusoidal gas control module to the high-speed proportional valve has a frequency of 1~5Hz.

[0015] Furthermore, the efficiency evaluation indicators specifically include:

[0016] Amplitude attenuation rate is used to determine the heat conversion efficiency of a stove.

[0017] Waveform distortion is used to determine the combustion stability of a stove.

[0018] Furthermore, the specific formula for calculating the amplitude attenuation rate is as follows:

[0019] ;

[0020] In the formula, C represents the gas calorific value-temperature conversion coefficient, with the unit being ℃·s / m³; A represents the gas flow modulation amplitude, with the unit being m³ / s and a value ranging from 0.1 to 0.3 m³ / s. The amplitude of temperature fluctuation of the i-th infrared probe represents the thermal release response capability, in °C.

[0021] Furthermore, the specific formula for calculating the waveform distortion degree is as follows:

[0022] ;

[0023] In the formula, This represents the amplitude of the kth harmonic of the temperature signal after Fourier transform.

[0024] Furthermore, the specific steps for the combustion efficiency diagnostic model generation module to fit and generate the combustion efficiency diagnostic model are as follows:

[0025] 1) The gas flow rate is modulated into a sine wave through a high-speed proportional valve, and the change in flame temperature is collected in real time through an infrared probe; the same item is heated under the condition of sine wave gas flow rate, and the time required for the item to reach the target temperature from the initial temperature is collected;

[0026] 2) The amplitude attenuation rate and waveform distortion are obtained based on the sinusoidal correlation between the temperature signal and the gas input. Several sets of amplitude attenuation rate, waveform distortion and the time required to match them are collected for different high thermal efficiency stoves under the same environment.

[0027] 3) Construct a heat conversion efficiency model based on the relationship between the time required for the item to reach the target temperature from the initial temperature and the amplitude decay rate;

[0028] 4) Construct a combustion stability model based on the relationship between the time required for the item to reach the target temperature from the initial temperature and the waveform distortion.

[0029] 5) Generate a combustion efficiency diagnostic model by fitting the correlation between the heat conversion efficiency model and the combustion stability model.

[0030] Furthermore, the combustion efficiency diagnostic model first establishes a mapping relationship between amplitude decay rate and heating time, reflecting the efficiency level of gas energy conversion into heat energy;

[0031] Simultaneously, a mapping relationship between waveform distortion and heating time is established to characterize the stability of flame pulsation; finally, the two relationships are coupled through an exponential function to generate a comprehensive combustion attenuation coefficient.

[0032] The high-efficiency stove based on infrared monitoring and intelligent adjustment provided by this invention achieves the following advantages compared to existing technologies:

[0033] 1. This invention achieves more thorough mixing of gas and air through the coordinated control of sinusoidal modulated gas flow and dynamic monitoring of the infrared temperature field, effectively reducing heat loss caused by incomplete combustion. Compared to traditional fixed-flow gas supply methods, this system can improve combustion efficiency to a higher level, significantly shorten cooking time, and reduce gas consumption.

[0034] 2. This invention utilizes multi-channel infrared sensors to analyze the flame temperature waveform in real time, accurately determining whether the combustion state is oxygen-deficient. When a decrease in temperature amplitude or waveform distortion is detected, the system automatically adjusts the fan speed to optimize the air-fuel ratio, avoiding a decrease in combustion efficiency and the generation of harmful gases due to insufficient oxygen supply.

[0035] 3. This invention can dynamically adjust the matching parameters of gas flow rate and fan speed according to changes in external environment (such as air pressure and humidity) and cookware load. This adaptive capability ensures that a highly efficient and stable combustion state can be maintained under different usage scenarios, avoiding misjudgments or performance fluctuations caused by environmental interference.

[0036] 4. This invention monitors flame temperature waveform anomalies in real time, and the system can immediately cut off the gas supply when it detects a risk of flameout or severe incomplete combustion. This proactive safety protection mechanism significantly reduces the risk of gas leaks or carbon monoxide accumulation, ensuring user safety.

[0037] 5. This invention reduces the emission of unburned gases through an optimized combustion process, effectively reducing the formation of pollutants such as carbon monoxide and nitrogen oxides. Simultaneously, high thermal efficiency means less fuel consumption, achieving both energy conservation and environmental protection benefits.

[0038] 6. The intelligent dynamic adjustment of this invention requires no manual intervention; users only need to set the target heat level to obtain a stable heating effect. The system further enhances the comfort and controllability of the cooking process by suppressing flame pulsation and noise. Attached Figure Description

[0039] Figure 1 This is a schematic diagram of the high thermal efficiency stove in this invention;

[0040] Figure 2 This is a schematic diagram of the software component in this invention;

[0041] Figure 3 This is a flowchart of the software component in this invention;

[0042] Figure 4 This is a graph showing the relationship between the time required to heat the item according to the present invention and the amplitude attenuation rate;

[0043] Figure 5 This is a graph showing the relationship between the time required to heat the item according to the present invention and the waveform distortion. Detailed Implementation

[0044] To make the technical solution of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0045] Example 1

[0046] like Figure 1 As shown, according to one aspect of the present invention, a high thermal efficiency stove based on infrared monitoring and intelligent adjustment is provided, including a hardware part, a software part, and a stove part. The hardware part includes a high-speed proportional valve, an infrared probe, and a fan. The infrared probe specifically includes infrared sensor A, infrared sensor B, infrared sensor C, infrared sensor D, and infrared sensor E, and infrared sensor A, infrared sensor B, infrared sensor C, infrared sensor D, and infrared sensor E are arranged in a ring array.

[0047] A high-speed proportional valve is an electromagnetic regulating valve that precisely controls gas flow by receiving a 1-5Hz sine wave electrical signal. Its core characteristic lies in its millisecond-level response speed. It can adjust the instantaneous value of the gas flow to... The waveform. Compared to traditional on / off valves, it can achieve continuous sinusoidal modulation of the gas flow, providing an input reference for frequency domain analysis of the combustion state.

[0048] The innovation lies in the hardware architecture of a five-channel infrared sensor distributed in a ring array and a high-speed proportional valve. By combining all-round monitoring of the spatial temperature field with sinusoidal gas modulation technology, it achieves multi-dimensional synchronous acquisition of combustion status for the first time.

[0049] Problem solved: Traditional single-point monitoring by sensors is easily affected by local flame pulsation, leading to inaccurate combustion analysis; the ring layout eliminates monitoring blind spots and provides a reliable data foundation for dynamic control.

[0050] Example 2

[0051] like Figure 2 , 3 As shown, the infrared temperature field detection module is used to acquire the temperature signal of the gas in the stove during the combustion process through an infrared probe; the infrared temperature field detection module collects temperature signals with a wavelength of 3~5μm. Then, in the temperature signal analysis, the output temperature of the i-th infrared sensor (one of A, B, C, D, E) is... The time-domain representation of (unit: °C) is:

[0052] ;

[0053] In the formula, The DC component of temperature (°C) is used to reflect the average combustion intensity. It represents the amplitude of temperature fluctuation (°C) and characterizes the heat release response capability; This indicates the phase lag angle (in radians) of temperature relative to the gas. This indicates high-frequency noise components, which require filtering.

[0054] The sinusoidal wave gas control module sends a sinusoidal signal to the high-speed proportional valve, which then modulates the gas flow into a sinusoidal wave. Therefore, the definition of the gas control waveform is:

[0055] Instantaneous value of gas flow (Unit: m³ / s) Based on the basic flow rate It is formed by superposition with a sinusoidal modulated wave:

[0056] ;

[0057] In the formula, The base gas flow rate (m³ / s) is determined by the user-set power; A represents the gas flow rate modulation amplitude (m³ / s), ranging from (0.1 to 0.3) × f represents the modulation frequency (Hz), preferably in the range of 1~5Hz; t represents time (s).

[0058] The innovation lies in establishing a time-domain coupling model between the sine wave of gas flow and the infrared temperature signal. By defining a control method that superimposes a sinusoidal disturbance on the basic flow, the combustion chemical reaction is transformed into quantifiable waveform parameters.

[0059] Problem solved: A fixed gas flow rate cannot reflect the dynamic characteristics of combustion; sinusoidal modulation makes the temperature response fluctuate regularly, creating the necessary conditions for frequency domain diagnosis.

[0060] Example 3

[0061] like Figure 1-5 As shown, the combustion efficiency diagnostic model generation module constructs an efficiency evaluation index based on the sinusoidal correlation between the temperature signal and the gas input (the efficiency evaluation index specifically includes: amplitude attenuation rate, used to determine the heat conversion efficiency of the stove; waveform distortion, used to determine the combustion stability of the stove), and generates a combustion efficiency diagnostic model by fitting the relationship between the efficiency evaluation index and the heating time of the same item.

[0062] The specific formula for calculating the amplitude attenuation rate is as follows:

[0063] ;

[0064] In the formula, C represents the gas calorific value-temperature conversion coefficient, with the unit ℃·s / m³ (a key parameter relating the physical properties of gas to its temperature response); A represents the gas flow modulation amplitude, with the unit m³ / s and a value ranging from 0.1 to 0.3 m³ / s. This represents the temperature fluctuation amplitude of the i-th infrared probe, characterizing its thermal release response capability, in °C. Therefore, when... This indicates that the heat released by combustion is significantly lower than the input energy, indicating incomplete combustion loss.

[0065] The specific formula for calculating waveform distortion is as follows:

[0066] ;

[0067] In the formula, This represents the amplitude of the kth harmonic of the temperature signal after Fourier transform. By extracting the harmonic components of the temperature signal through Fourier transform, when the proportion of high-frequency harmonic energy (k≥2) exceeds 25%, it indicates that there is abnormal pulsation in the flame (such as airflow disturbance or uneven mixing), which leads to distortion of the sinusoidal temperature waveform.

[0068] The specific steps for the combustion efficiency diagnostic model generation module to fit and generate the combustion efficiency diagnostic model are as follows:

[0069] 1) The gas flow rate is modulated into a sine wave through a high-speed proportional valve, and the change in flame temperature is collected in real time through an infrared probe; the same item is heated under the condition of a sine wave gas flow rate, and the time required for the item to reach the target temperature from the initial temperature is collected;

[0070] For example, if data is collected from 100 high-efficiency stove samples, and a human evaluation shows that the time required for a certain high-efficiency stove to reach the target temperature from the initial temperature of the same item is shorter than that of the other 50 samples, then the combustion evaluation coefficient of the high-efficiency stove, as assessed by the human evaluation, is 50%.

[0071] 2) The amplitude attenuation rate and waveform distortion are obtained based on the sinusoidal correlation between the temperature signal and the gas input. Several sets of amplitude attenuation rate, waveform distortion and the time required to match them are collected for different high thermal efficiency stoves under the same environment.

[0072] 3) Construct a heat conversion efficiency model based on the relationship between the time required for the item to reach the target temperature from the initial temperature and the amplitude decay rate (e.g., Figure 4 As shown in the figure (where the red dots represent the distribution of the 100 collected samples), we have:

[0073] (Formula 1);

[0074] In Formula 1 above, This indicates the time required for the object to reach the target temperature from the initial temperature when the waveform distortion remains constant and the amplitude decay rate changes; k, a, and b all represent the values ​​used for control. The combustion evaluation coefficient of a high-efficiency stove, assessed manually, tends to be a constant. Therefore, when a=0.5 and b=1, the value in Formula 2... The constant approximates the combustion evaluation coefficient of a high thermal efficiency stove, which is determined by human assessment.

[0075] 4) Construct a combustion stability model based on the relationship between the time required for the item to reach the target temperature from the initial temperature and the waveform distortion (e.g., Figure 5 As shown in the figure (where the blue dots represent the distribution of the 100 collected samples), then:

[0076] (Formula 2);

[0077] In formula 2 above, This indicates the time required for the object to reach the target temperature from the initial temperature when the amplitude decay rate remains constant and the waveform distortion is changed; k, m, and n are all used for control. The combustion evaluation coefficient, which is manually assessed, approximates a constant for high-efficiency stoves. Furthermore, it is determined by... Figure 3 , 4 The data in the middle can be determined When, in Formula 2 With Formula 1 They tend to be equal, and at this point, it does not affect Equation 1 and Figure 4 The degree of waveform adaptation. And when m=3 and n=6, the waveform in Formula 2... The constant approximates the combustion evaluation coefficient of a high thermal efficiency stove, which is determined by human assessment.

[0078] 5) A combustion efficiency diagnostic model is generated by fitting the correlation between the heat conversion efficiency model and the combustion stability model. Combining this with the characteristic relationship between Formula 1 and Formula 2 above, we have:

[0079] g=(Formula 1)×(Formula 2);

[0080] Based on the above fitting process, the specific details of this combustion efficiency diagnostic model are as follows:

[0081] ;

[0082] In the above formula, g represents the comprehensive coefficient of combustion attenuation output of the stove by the combustion efficiency diagnostic model; Indicates the amplitude attenuation rate; Indicates the degree of waveform distortion.

[0083] The model parameter optimization module optimizes the sensitivity parameters of the combustion efficiency diagnostic model based on the combustion efficiency diagnostic model and the environment in which the high thermal efficiency stove is located; the sensitivity parameters include k, a, b, m, and n.

[0084] Among them, when the amplitude attenuation rate Waveform distortion When the combustion efficiency diagnostic model is applied, the comprehensive coefficient of combustion attenuation for the stove output is:

[0085] ;

[0086] In the above formula, the combustion attenuation comprehensive coefficient output by the combustion efficiency diagnostic model of this stove is 45%. Among them, when the amplitude attenuation is greater than 20% or the waveform distortion is greater than 25%, it indicates that the gas is in a state of obvious oxygen deficiency combustion. At this time, the combustion attenuation comprehensive coefficient of this type of stove is 45%, which means that when the combustion attenuation comprehensive coefficient is greater than 45%, obvious oxygen deficiency combustion will also occur.

[0087] Furthermore, if amplitude attenuation or waveform distortion is used alone to determine whether the flame in the stove is lacking oxygen, and the flame changes due to external airflow, thus altering the fluctuation of amplitude attenuation or waveform distortion, problems such as the fan starting up without reason will inevitably occur due to unstable monitoring.

[0088] The innovation lies in constructing a dual-parameter collaborative combustion efficiency diagnostic model, which generates a comprehensive combustion attenuation coefficient that is resistant to environmental interference by mapping the correlation between amplitude attenuation rate and waveform distortion degree to heating time.

[0089] Problem solved: Single indicators (such as temperature amplitude) are easily misjudged by airflow disturbances; the two-parameter coupled model distinguishes between real oxygen-deficient combustion and environmental disturbances, avoiding false start-up and shutdown of the fan.

[0090] Example 4

[0091] like Figure 1 As shown, the dynamic feedback control module analyzes whether the fan speed needs to be increased based on the sine wave signal sent to the high-speed proportional valve and the temperature change detected by the infrared probe, and feeds back the command to increase the fan speed to the fan.

[0092] The innovation lies in the dynamic feedback mechanism based on the real-time combustion decay coefficient, which identifies the oxygen deficiency state in milliseconds through the sine wave-temperature response characteristics and triggers precise airflow adjustment.

[0093] Problem solved: Traditional control response lag leads to a continuous decline in combustion efficiency; dynamic feedback enables immediate suppression of oxygen-deficient combustion, ensuring simultaneous optimization of thermal efficiency and safety.

[0094] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

Claims

1. A high thermal efficiency stove based on intelligent adjustment of infrared monitoring, comprising a hardware part, a software part and a stove top part, characterized in that, The hardware part includes a high-speed proportional valve, an infrared probe and a fan; The software part includes: an infrared temperature field detection module for acquiring a temperature signal of gas in a combustion process in the cooking range part through the infrared probe; a sinusoidal wave gas control module for sending a sinusoidal wave signal to the high-speed proportional valve, and then modulating the gas flow into a sinusoidal wave through the high-speed proportional valve; a combustion efficiency diagnosis model generation module for constructing an efficiency evaluation index based on the sinusoidal correlation between the temperature signal and the gas input, and fitting and generating a combustion efficiency diagnosis model according to the relationship between the efficiency evaluation index and the same item heating time; a model parameter optimization module for optimizing the sensitivity parameters of the combustion efficiency diagnosis model based on the combustion efficiency diagnosis model and the environment where the high-heat-efficiency stove is located; a dynamic feedback control module for analyzing whether the speed of the fan needs to be increased according to the sending of the sinusoidal wave signal to the high-speed proportional valve and the temperature change detected by the infrared probe, and feeding back the instruction of increasing the speed of the fan to the fan.

2. The high thermal efficiency stove based on intelligent adjustment with infrared monitoring according to claim 1, characterized in that: The infrared probe specifically includes infrared sensors A, B, C, D and E, and the infrared sensors A, B, C, D and E are arranged in a ring array.

3. The high thermal efficiency stove based on intelligent adjustment with infrared monitoring according to claim 1, characterized in that: The infrared temperature field detection module collects the temperature signal with a wavelength of 3-5 μm.

4. The high thermal efficiency stove based on intelligent adjustment with infrared monitoring according to claim 1, characterized in that: The frequency of the sinusoidal wave signal sent by the sinusoidal wave gas control module to the high-speed proportional valve is 1-5 Hz.

5. The high thermal efficiency stove based on intelligent adjustment with infrared monitoring according to claim 1, characterized in that: The efficiency evaluation index specifically includes: an amplitude attenuation rate for determining the heat conversion efficiency of the stove; and a waveform distortion degree for determining the combustion stability of the stove.

6. The high thermal efficiency stove based on intelligent adjustment of infrared monitoring according to claim 5, characterized in that: The specific calculation formula of the amplitude attenuation rate is: ； In the formula, C represents the gas calorific value-temperature conversion coefficient; A represents the gas flow modulation amplitude, and the value range is 0.1-0.3 m³ / s; represents the temperature fluctuation amplitude of the i-th infrared probe, and represents the heat release response capability.

7. The high thermal efficiency stove based on intelligent adjustment with infrared monitoring according to claim 5, characterized in that: The specific calculation formula of the waveform distortion degree is: ； wherein denotes the kth harmonic amplitude of the Fourier transform of the temperature signal.

8. The high thermal efficiency stove based on intelligent adjustment with infrared monitoring according to claim 5, characterized in that: The specific steps of fitting and generating the combustion efficiency diagnosis model by the combustion efficiency diagnosis model generation module are: 1) modulating the gas flow into a sinusoidal wave through the high-speed proportional valve, and collecting the change of the flame temperature in real time through the infrared probe; heating the same item under the condition that the gas flow is a sinusoidal wave, and collecting the time required for the item to reach the target temperature from the initial temperature; 2) acquiring the amplitude attenuation rate and the waveform distortion degree based on the sinusoidal correlation between the temperature signal and the gas input, and collecting several groups of amplitude attenuation rates, waveform distortion degrees and the required time matched therewith under the same environment for different high-heat-efficiency stoves; 3) constructing a heat conversion efficiency model according to the relationship between the time required for the item to reach the target temperature from the initial temperature and the amplitude attenuation rate; 4) constructing a combustion stability model according to the relationship between the time required for the item to reach the target temperature from the initial temperature and the waveform distortion degree; 5) fitting and generating the combustion efficiency diagnosis model according to the correlation between the heat conversion efficiency model and the combustion stability model.

9. The high thermal efficiency stove based on intelligent regulation with infrared monitoring according to claim 1, characterized in that: The combustion efficiency diagnosis model first establishes the mapping relationship between the amplitude attenuation rate and the heating time, reflecting the efficiency level of the conversion of gas energy into heat energy; At the same time, the mapping relationship between the waveform distortion degree and the heating time is established, representing the stability degree of the flame pulsation; finally, the two types of relationships are coupled through an exponential function form to generate a comprehensive combustion attenuation coefficient.

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