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CN-121977248-A - Electric fireplace temperature control method and system based on infrared thermal imaging

CN121977248ACN 121977248 ACN121977248 ACN 121977248ACN-121977248-A

Abstract

The invention relates to the technical field of intelligent sensors, and discloses an electric fireplace temperature control method and system based on infrared thermal imaging. The method comprises the steps of obtaining multi-point temperature data around an electric fireplace through an infrared thermal imaging technology, synchronously obtaining user position data and air flow data, preprocessing the multi-point temperature data to construct a space thermal field distribution matrix, identifying human body thermal field grid units according to the user position data, calculating a thermal radiation intensity coverage value, screening a thermal non-uniform characteristic block if the thermal radiation intensity coverage value is lower than a comfort threshold value, determining position coordinates of the thermal non-uniform characteristic block, weighting to calculate a thermal deviation index, determining a dynamic power adjustment amplitude according to a time gradient change rate, correcting the air flow data by using an upper power limit threshold value to generate a power adjustment instruction, driving a heating element, and performing iterative compensation through thermal flux feedback. The method can realize the uniform and accurate control of the space thermal field of the electric fireplace and provide accurate and comfortable heating service for users.

Inventors

  • YANG PENG
  • ZHU XIAOLIN
  • LV BIN

Assignees

  • 勃格科技有限公司

Dates

Publication Date
20260505
Application Date
20260313

Claims (10)

  1. 1. An electric fireplace temperature control method based on infrared thermal imaging is characterized by comprising the following steps: acquiring multipoint temperature data of the surrounding environment of the electric fireplace through an infrared thermal imaging technology, and synchronously acquiring user position data and air flow data; preprocessing the multipoint temperature data to construct a distribution matrix of the space thermal field; According to the user position data, constructing a geometrical bounding box of the human body, mapping the geometrical bounding box to a three-dimensional coordinate system of the distribution matrix, identifying thermal field grid cells of the human body, extracting the thermal radiation flux density of the thermal field grid cells, and carrying out weighted summation to obtain a coverage value of the thermal radiation intensity of the human body region; If the coverage value is lower than a preset comfort judgment threshold value, extracting features of the distribution matrix, screening candidate heat non-uniformity feature blocks, calculating geometric center points of the candidate heat non-uniformity feature blocks, and determining position coordinates of potential heat non-uniformity areas; according to the distance between the position coordinates and the user position data, calculating the difference between the actual radiation and a pre-acquired comfort reference in a weighting manner to obtain an actual heated deviation index of the human body; performing high-dimensional mapping and regression calculation on the heated deviation index, determining a basic power adjustment coefficient by combining a preset power gain interval, correcting the basic power adjustment coefficient according to the time gradient change rate of the heated deviation index, and performing amplitude conversion to obtain a dynamic adjustment amplitude of heating power; If the dynamic adjustment amplitude exceeds a preset power upper limit threshold, correcting the dynamic adjustment amplitude according to the air flow data, and generating a power adjustment instruction according to the corrected amplitude; And driving the heating element of the electric fireplace through the power regulation command to realize uniform spatial thermal field distribution.
  2. 2. The method for controlling temperature of an electric fireplace based on infrared thermal imaging of claim 1, wherein the method for acquiring the multi-point temperature data of the surroundings of the electric fireplace by infrared thermal imaging technology, synchronously acquiring the user position data and the air flow data comprises the following steps: Deploying an infrared sensor array, and collecting multi-point temperature data of the surrounding environment of the electric fireplace; collecting three-dimensional coordinate data of a user in a space as user position data; indoor instantaneous air flow velocity data is collected as air flow data.
  3. 3. The method for controlling temperature of an electric fireplace based on infrared thermal imaging according to claim 1, wherein the preprocessing the multi-point temperature data to construct a distribution matrix of a spatial thermal field comprises: Coordinate mapping is carried out on the multi-point temperature data to form a discrete temperature point set containing three-dimensional coordinate information; carrying out space smoothing complementation on the discrete temperature point set to generate continuous three-dimensional temperature field data; and discretizing and sampling the continuous three-dimensional temperature field data to construct a distribution matrix of the space thermal field.
  4. 4. The method for controlling temperature of an electric fireplace based on infrared thermal imaging according to claim 1, wherein the steps of constructing a geometrical bounding box of a human body according to the user position data and mapping the geometrical bounding box to a three-dimensional coordinate system of the distribution matrix, identifying thermal field grid cells of the human body, extracting the thermal radiation flux density of the thermal field grid cells and weighting and summing the thermal radiation flux densities to obtain a coverage value of the thermal radiation intensity of a region of the human body comprise the steps of: extracting morphological characteristics of a human body according to the user position data, and constructing a geometrical bounding box of the human body; mapping the geometric bounding box to a three-dimensional coordinate system of the distribution matrix, and identifying thermal field grid cells in which the three-dimensional coordinate system and the geometric bounding box are spatially overlapped; extracting the temperature value of the thermal field grid unit, and calculating the heat radiation flux density of each unit; And carrying out weighted summation on the heat radiation flux densities to determine the coverage value of the heat radiation intensity of the human body area.
  5. 5. The method for controlling temperature of an electric fireplace based on infrared thermal imaging according to claim 1, wherein if the coverage value is lower than a preset comfort judgment threshold, extracting features from the distribution matrix, screening out candidate heat non-uniformity feature blocks, calculating geometric center points of the candidate heat non-uniformity feature blocks, and determining position coordinates of a potential heat non-uniformity region comprises: if the coverage value is lower than a preset comfort judgment threshold value, carrying out normalization processing on the distribution matrix to obtain normalized thermal image data; extracting features of the normalized thermal image data to obtain thermal features representing temperature gradient changes; screening feature blocks exceeding a preset thermal fluctuation threshold value in the thermal features to serve as candidate thermal non-uniformity feature blocks; Performing space mapping and up-sampling on the candidate heat non-uniformity characteristic blocks to obtain corresponding space regions; and calculating the geometric center point of the space region, and determining the position coordinates of the potential heat non-uniformity region.
  6. 6. The method for controlling temperature of an electric fireplace based on infrared thermal imaging according to claim 1, wherein the step of weighting and calculating a difference between actual radiation and a pre-acquired comfort reference according to the distance between the position coordinates and the user position data to obtain an actual thermal deviation index of a human body comprises the steps of: mapping the position coordinates of the potential heat uneven areas and the user position data into a unified three-dimensional coordinate system to form a unified coordinate set; calculating Euclidean distance of two points in the unified coordinate set, and constructing a space proximity weight matrix; Based on the spatial proximity weight matrix, carrying out weighted calculation on the actual radiation intensity of the potential heat non-uniformity region to obtain a weighted radiation value; And calculating the difference value between the weighted radiation value and the pre-acquired comfort reference, and carrying out normalization processing on the difference value to obtain the actual heated deviation index of the human body.
  7. 7. The method for controlling the temperature of an electric fireplace based on infrared thermal imaging according to claim 1, wherein the performing high-dimensional mapping and regression calculation on the heated deviation index, determining a basic power adjustment coefficient by combining a preset power gain interval, correcting the basic power adjustment coefficient according to a time gradient change rate of the heated deviation index, performing amplitude conversion, and obtaining a dynamic adjustment amplitude of heating power comprises: Performing high-dimensional mapping on the heated deviation index to obtain a high-dimensional deviation feature vector; carrying out regression calculation on the deviation feature vector to obtain a classification decision value; If the classification decision value is greater than zero, determining a basic power adjustment coefficient by combining a preset forward power gain interval and the modular length of the classification decision value; calculating the time gradient change rate of the heated deviation index, and correcting the basic power adjustment coefficient by using the time gradient change rate to obtain a dynamic correction coefficient; substituting the dynamic correction coefficient into a power amplitude conversion rule to determine the dynamic adjustment amplitude of the heating power.
  8. 8. The method of claim 7, wherein if the dynamic adjustment amplitude exceeds a preset upper power threshold, modifying the dynamic adjustment amplitude according to the air flow data, and generating a power adjustment command according to the modified amplitude, comprising: if the dynamic adjustment amplitude exceeds a preset power upper limit threshold, converting the air flow data into a thermal convection coefficient sequence; performing feature fusion on the thermal convection coefficient sequence and the deviation feature vector to construct a multi-source fusion feature matrix; Performing secondary regression calculation on the feature matrix to obtain a corrected decision value; And adjusting the dynamic adjustment amplitude according to the correction decision value, mapping the adjusted amplitude to a power control rule, and generating a power adjustment instruction.
  9. 9. The method for controlling the temperature of an electric fireplace based on infrared thermal imaging according to claim 1, wherein the power adjustment command drives the heating element of the electric fireplace to achieve uniform spatial thermal field distribution, comprising: Analyzing the power adjustment instruction to generate a multichannel driving signal; Driving an electric fireplace heating element through the multichannel driving signal to generate heat radiation energy; collecting the heated heat radiation intensity data, and constructing a heat flux distribution map; if a region exceeding a preset temperature uniformity threshold exists in the heat flux distribution diagram, generating a reverse compensation gain and superposing the reverse compensation gain to the driving end; and backtracking the step of acquiring the heated heat radiation intensity data and constructing a heat flux distribution diagram, and carrying out heat radiation intensity data acquisition and reverse compensation operation again until no area exceeding a preset temperature uniformity threshold exists in the heat flux distribution diagram, so as to obtain homogenized space heat field distribution.
  10. 10. An electric fireplace temperature control system based on infrared thermal imaging, characterized by comprising: The data acquisition module is used for acquiring multipoint temperature data of the surrounding environment of the electric fireplace through an infrared thermal imaging technology and synchronously acquiring user position data and air flow data; the thermal field construction module is used for preprocessing the multi-point temperature data and constructing a distribution matrix of the space thermal field; The coverage value calculation module is used for constructing a geometrical bounding box of the human body according to the user position data, mapping the geometrical bounding box to a three-dimensional coordinate system of the distribution matrix, identifying thermal field grid cells of the human body, extracting the thermal radiation flux density of the thermal field grid cells, weighting and summing the thermal radiation flux density, and obtaining a coverage value of the thermal radiation intensity of the human body region; The heat non-uniformity recognition module is used for extracting the characteristics of the distribution matrix if the coverage value is lower than a preset comfort judgment threshold value, screening candidate heat non-uniformity characteristic blocks, calculating the geometric center point of the candidate heat non-uniformity characteristic blocks, and determining the position coordinates of potential heat non-uniformity areas; The deviation calculation module is used for weighting and calculating the difference between the actual radiation and a pre-acquired comfort reference according to the distance between the position coordinates and the user position data to obtain an actual heated deviation index of the human body; The adjustment amplitude determining module is used for carrying out high-dimensional mapping and regression calculation on the heated deviation index, determining a basic power adjustment coefficient by combining a preset power gain interval, correcting the basic power adjustment coefficient according to the time gradient change rate of the heated deviation index, and carrying out amplitude conversion to obtain the dynamic adjustment amplitude of the heating power; The instruction correction module is used for correcting the dynamic adjustment amplitude according to the air flow data if the dynamic adjustment amplitude exceeds a preset power upper limit threshold value, and generating a power adjustment instruction according to the corrected amplitude; and the heating driving module is used for driving the heating element of the electric fireplace through the power regulation instruction to realize uniform spatial heat field distribution.

Description

Electric fireplace temperature control method and system based on infrared thermal imaging Technical Field The invention relates to the technical field of intelligent sensors, in particular to an electric fireplace temperature control method and system based on infrared thermal imaging. Background At present, in the field of intelligent sensors, along with the continuous improvement of the living comfort requirements of users and the increasing popularization of intelligent household appliances, an electric fireplace is used as a core heating device, the uniformity and the accuracy of temperature control of the electric fireplace are directly related to the heating experience and the energy utilization efficiency of the users, and the intelligent sensor control is introduced to have a wide application space. The existing electric fireplace temperature control method in the industry mainly depends on single temperature measuring point feedback or preset program adjustment, for example, a single-point temperature sensor near a furnace body is used for controlling power gear, or a fixed time period is used for switching heating intensity, or a space thermal field difference is ignored for unified power output. However, this approach presents significant drawbacks in complex use environments. Because a single temperature measuring point cannot reflect the uneven distribution of a space thermal field, the temperature is easily influenced by the layout of a room and air flow, local overheating is easily caused, and a remote place is still cold, a preset program is difficult to adapt to the dynamic change of the position of a person, the actual heating requirement of the human body cannot be accurately matched, the accurate identification and targeted adjustment of a heat uneven area are lacking, and the heating comfort level is poor especially in a large space or multi-person co-located scene. In summary, the prior art is difficult to realize the accurate control of the spatial thermal field homogenization of the electric fireplace, and can not provide accurate and comfortable heating service for users. Disclosure of Invention The invention provides a temperature control method and a temperature control system for an electric fireplace based on infrared thermal imaging, which are used for realizing the uniform and accurate control of a space thermal field of the electric fireplace and providing accurate and comfortable heating service for users. In order to solve the technical problems, the invention provides a temperature control method of an electric fireplace based on infrared thermal imaging, which comprises the following steps: acquiring multipoint temperature data of the surrounding environment of the electric fireplace through an infrared thermal imaging technology, and synchronously acquiring user position data and air flow data; preprocessing the multipoint temperature data to construct a distribution matrix of the space thermal field; According to the user position data, constructing a geometrical bounding box of the human body, mapping the geometrical bounding box to a three-dimensional coordinate system of the distribution matrix, identifying thermal field grid cells of the human body, extracting the thermal radiation flux density of the thermal field grid cells, and carrying out weighted summation to obtain a coverage value of the thermal radiation intensity of the human body region; If the coverage value is lower than a preset comfort judgment threshold value, extracting features of the distribution matrix, screening candidate heat non-uniformity feature blocks, calculating geometric center points of the candidate heat non-uniformity feature blocks, and determining position coordinates of potential heat non-uniformity areas; according to the distance between the position coordinates and the user position data, calculating the difference between the actual radiation and a pre-acquired comfort reference in a weighting manner to obtain an actual heated deviation index of the human body; performing high-dimensional mapping and regression calculation on the heated deviation index, determining a basic power adjustment coefficient by combining a preset power gain interval, correcting the basic power adjustment coefficient according to the time gradient change rate of the heated deviation index, and performing amplitude conversion to obtain a dynamic adjustment amplitude of heating power; If the dynamic adjustment amplitude exceeds a preset power upper limit threshold, correcting the dynamic adjustment amplitude according to the air flow data, and generating a power adjustment instruction according to the corrected amplitude; And driving the heating element of the electric fireplace through the power regulation command to realize uniform spatial thermal field distribution. In a second aspect, the invention provides an electric fireplace temperature control system based on infrared thermal imaging, comprisin