Temperature control system and method for computer board of electric oven
By designing image acquisition, volume estimation and color recognition modules in the electric oven, combined with the central control module, the function of automatically adjusting the temperature of the electric oven is realized, solving the problem that existing electric ovens cannot automatically adjust the temperature according to the bread baking stage, and improving the automation and efficiency of baking.
Patent Information
- Application Number
- CN202510115360.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-24
- Publication Date
- 2025-04-25
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Existing electric ovens cannot automatically adjust the temperature according to different bread baking stages, and require manual real-time monitoring and adjustment.
Design a temperature control system for electric oven computer boards, including image acquisition module, volume estimation module, color recognition module, central control module and temperature adjustment module. Through image acquisition and analysis, the volume and skin color of the bread are monitored, and the central control module automatically adjusts the temperature of the electric oven based on these data.
It realizes automatic adjustment of the electric oven temperature according to different stages during the bread baking process, avoiding the difficulty of manual real-time monitoring and ensuring even baking and maturity of the bread.
Smart Images

Figure CN119882880A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of temperature control, and in particular to a temperature control system and method for an electric oven computer board. Background Art
[0002] An electric oven is a device that uses electricity to generate heat and hot air to cook food. It is generally a closed structure and is used to bake bread.
[0003] During the bread baking process, the temperature needs to be changed, which is divided into two stages. In the expansion stage, it needs to be baked at high temperature for a period of time so that the bread can quickly expand to its maximum. After the volume stops expanding, it enters the baking stage. At this time, it is necessary to lower the temperature and continue baking for a period of time so that the inside of the bread is fully cooked, until the surface of the bread turns dark golden yellow, which means the bread is cooked.
[0004] The electric oven in the prior art can only preset the baking temperature and baking time, and then keep the preset temperature to bake the bread within this preset time period. It is impossible to automatically adjust the temperature according to the different baking stages of the bread during the baking process. It is necessary to manually monitor the state of the bread in real time. After it is found that the bread stops expanding, the temperature is promptly lowered, and then the baking is continued for a period of time. After the crust of the bread turns dark golden yellow, the electric oven is promptly turned off to avoid burning the crust of the bread. It is more inconvenient to use. Summary of the invention
[0005] The object of the present invention is to provide a temperature control system and method for an electric oven computer board, aiming to solve the problem that the existing electric oven cannot automatically adjust the temperature according to different bread baking stages when baking bread.
[0006] To achieve the above-mentioned purpose, in a first aspect, the present invention provides a temperature control system of an electric oven computer board, comprising an image acquisition module, a volume estimation module, a color recognition module, a central control module and a temperature adjustment module; the volume estimation module is connected to the image acquisition module; the color recognition module is connected to the image acquisition module; the central control module is connected to the volume estimation module and to the color recognition module; the temperature adjustment module is connected to the central control module; The image acquisition module is used to acquire an image of the bread in the electric oven once every preset time period; The volume estimation module is used to estimate the volume of the bread according to the image of the bread collected by the image collection module; The color recognition module is used to extract the color characteristics of the bread crust according to the image of the bread collected by the image collection module; The central control module is used to send an opening instruction to the temperature regulating module; and is used to monitor the change of the volume of the bread according to the volume data of the bread at different times, and when it is found that the volume of the bread is no longer expanding, immediately send a cooling instruction to the temperature regulating module; and is also used to judge whether the bread is ripe according to the color characteristics of the bread crust, and when it is found that the bread is ripe, immediately send a closing instruction to the temperature regulating module; The temperature regulating module is used to receive instructions from the central control module and regulate the temperature inside the electric oven.
[0007] Wherein, the image acquisition module includes a camera array unit and an image preprocessing unit; the image preprocessing unit is connected to the camera array unit; The camera array unit is used to capture images of bread in the electric oven from different angles; The image preprocessing unit is used to preprocess the image of the bread.
[0008] Wherein, the image acquisition module also includes an illumination lamp array unit; The lighting array unit is used to illuminate the electric oven, so that the camera array unit can obtain an accurate image of the bread.
[0009] Wherein, the volume estimation module comprises a depth map generation unit, a triangulation unit, a surface reconstruction unit and a volume calculation unit; the triangulation unit is connected to the depth map generation unit, the surface reconstruction unit is connected to the triangulation unit; the volume calculation unit is connected to the surface reconstruction unit; The depth map generating unit is used to generate a depth map according to the image of the bread; The triangulation unit is used to generate a 3D mesh model of the bread according to the depth map data; The surface reconstruction unit is used to optimize the 3D mesh model of the bread; The volume calculation unit is used to calculate the volume of the bread according to the 3D grid model of the bread.
[0010] Wherein, the color recognition module includes an image conversion unit and a color feature extraction unit; the color feature extraction unit is connected to the image conversion unit; The image conversion unit is used to convert the image of the bread into an HSV color space; The color feature extraction unit is used to extract the color features of the bread crust according to the HSV color space.
[0011] Wherein, the central control module includes an opening unit, a timing unit, a volume comparison unit, a color model construction unit and a color matching unit; the color matching unit is connected to the color model construction unit; The opening unit is used to send an opening instruction to the temperature adjustment module; The timing unit is used to set a preset time period and control the image acquisition module to acquire an image of the bread in the electric oven once every preset time period; The volume comparison unit is used to compare the volume of bread in the current time period with the volume of bread in the previous time period. If the change is not significant, it is determined that the expansion stage of the bread is over, and a temperature reduction instruction is sent to the temperature adjustment module; The color model building unit is used to train the color model based on bread sample images at known baking stages; The color matching unit is used to match the color characteristics of the bread crust with the trained color model to determine the color of the bread crust. If it is detected that the bread crust turns into a dark golden color, a shutdown instruction is sent to the temperature adjustment module.
[0012] Wherein, the temperature adjustment module includes a temperature preset unit and a temperature adjustment unit; the temperature adjustment unit is connected to the temperature preset unit; The temperature preset unit is used to preset a first temperature required in the bread expansion stage and a second temperature required in the baking stage; The temperature regulating unit is used to receive instructions from the central control module. When receiving an on instruction, it controls the electric oven to heat to a first temperature; when receiving a cooling instruction, it controls the first temperature of the electric oven to change to a second temperature; when receiving a off instruction, it controls the electric oven to stop heating.
[0013] In a second aspect, the present invention further provides a temperature control method for an electric oven computer board, comprising: The central control module sends an opening instruction to the temperature adjustment module, and the temperature adjustment module controls the electric oven to heat to a first temperature; The image acquisition module acquires an image of the bread in the electric oven once every preset time period; The volume estimation module estimates the volume of the bread according to the image of the bread collected by the image acquisition module; the color recognition module extracts the color characteristics of the bread crust according to the image of the bread collected by the image acquisition module; The central control module monitors the change of the volume of the bread according to the volume data of the bread at different times. When it is found that the volume of the bread is no longer expanding, it immediately sends a cooling instruction to the temperature adjustment module, and the temperature adjustment module controls the electric oven to switch to the second temperature; The central control module monitors the changes in the color characteristics of the bread crust. When it is found that the bread crust turns into a dark golden color, it immediately sends a shutdown command to the temperature regulation module, and the temperature regulation module controls the electric oven to stop heating.
[0014] The present invention relates to a temperature control system and method for an electric oven computer board. In this embodiment, the image acquisition module acquires an image of bread in the electric oven once every preset time period, and the volume estimation module estimates the volume of the bread based on the image of the bread acquired by the image acquisition module; the color recognition module extracts the color characteristics of the bread crust based on the image of the bread acquired by the image acquisition module; therefore, the volume data of a loaf of bread can be obtained every preset time period, and the central control module can monitor the volume of the bread. When it is found that the volume data of the bread remains stable and no longer increases, it means that the bread stops expanding and the expansion stage ends. At this time, a cooling instruction is immediately sent to the temperature adjustment module, and the temperature adjustment module controls the electric oven to switch to a low temperature, and the bread begins to enter the baking stage, and the central control module continues to control the temperature. Every preset time period, an image data of a piece of bread can be obtained, and the color recognition module will extract the color characteristics of the bread crust and send them to the central control module. The central control module can monitor the color of the bread crust. When it is found that the color characteristics of the bread crust match the dark golden color, it means that the bread is baked. At this time, a shutdown command is immediately sent to the temperature adjustment module, and the temperature adjustment module controls the electric oven to shut down and stop heating; the temperature of the electric oven is switched in time by monitoring the change in the volume of the bread, and whether the bread is ripe is judged by the final color of the bread crust. If it is found to be ripe, the electric oven is controlled to shut down in time; the temperature of the electric oven is automatically controlled to adjust the temperature at different stages of bread baking, thereby solving the problem that the existing electric oven cannot automatically adjust the temperature according to the different stages of bread baking when baking bread. BRIEF DESCRIPTION OF THE DRAWINGS
[0015] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art are briefly introduced below.
[0016] Figure 1 It is a schematic structural diagram of the first embodiment of the present invention.
[0017] Figure 2 It is a structural diagram of the image acquisition module of the first embodiment of the present invention.
[0018] Figure 3 4 is a schematic diagram of the structure of the volume estimation module according to the first embodiment of the present invention.
[0019] Figure 4 Schematic diagram of the structure of the color recognition module of the first embodiment of the present invention.
[0020] Figure 5 It is a structural diagram of a central control module according to the first embodiment of the present invention.
[0021] Figure 6 It is a structural schematic diagram of a temperature adjustment module according to the first embodiment of the present invention.
[0022] Figure 7 It is a flowchart of the second embodiment of the present invention.
[0023] 1-image acquisition module, 2-volume estimation module, 3-color recognition module, 4-central control module, 5-temperature adjustment module, 11-camera array unit, 12-image preprocessing unit, 13-light array unit, 21-depth map generation unit, 22-triangulation unit, 23-surface reconstruction unit, 24-volume calculation unit, 31-image conversion unit, 32-color feature extraction unit, 41-opening unit, 42-timing unit, 43-volume comparison unit, 44-color model construction unit, 45-color matching unit, 51-temperature preset unit, 52-temperature adjustment unit. DETAILED DESCRIPTION
[0024] The first embodiment of the present application is: See also Figure 1-Figure 6 ,in, Figure 1 It is a schematic structural diagram of the first embodiment of the present invention. Figure 2 It is a structural diagram of the image acquisition module of the first embodiment of the present invention. Figure 3 4 is a schematic diagram of the structure of the volume estimation module according to the first embodiment of the present invention. Figure 4 Schematic diagram of the structure of the color recognition module of the first embodiment of the present invention. Figure 5 It is a structural diagram of a central control module according to the first embodiment of the present invention. Figure 6 It is a structural schematic diagram of a temperature adjustment module according to the first embodiment of the present invention.
[0025] The present invention provides a temperature control system of an electric oven computer board, comprising an image acquisition module 1, a volume estimation module 2, a color recognition module 3, a central control module 4 and a temperature adjustment module 5; the image acquisition module 1 comprises a camera array unit 11 and an image preprocessing unit 12; the image acquisition module 1 also comprises an illumination lamp array unit 13; the volume estimation module 2 comprises a depth map generation unit 21, a triangulation unit 22, a surface reconstruction unit 23 and a volume calculation unit 24; the color recognition module 3 comprises an image conversion unit 31 and a color feature extraction unit 32; the central control module 4 comprises an opening unit 41, a timing unit 42, a volume comparison unit 43, a color model construction unit 44 and a color matching unit 45; the temperature adjustment module 5 comprises a temperature preset unit 51 and a temperature adjustment unit 52; the above-mentioned scheme solves the problem that the existing electric oven cannot automatically adjust the temperature according to different bread baking stages when baking bread.
[0026] Further, the volume estimation module 2 is connected to the image acquisition module 1; the color recognition module 3 is connected to the image acquisition module 1; the central control module 4 is connected to the volume estimation module 2 and to the color recognition module 3; the temperature adjustment module 5 is connected to the central control module 4; The image acquisition module 1 is used to acquire an image of bread in the electric oven once every preset time period; The volume estimation module 2 is used to estimate the volume of the bread according to the image of the bread acquired by the image acquisition module 1; The color recognition module 3 is used to extract the color characteristics of the bread crust according to the image of the bread collected by the image collection module 1; The central control module 4 is used to send an opening instruction to the temperature regulating module 5; and is used to monitor the change of the volume of the bread according to the volume data of the bread at different times, and when it is found that the volume of the bread is no longer expanding, it immediately sends a cooling instruction to the temperature regulating module 5; and is also used to judge whether the bread is ripe according to the color characteristics of the bread crust, and when it is found that the bread is ripe, it immediately sends a closing instruction to the temperature regulating module 5; The temperature regulating module 5 is used to receive the instruction of the central control module 4 and regulate the temperature inside the electric oven.
[0027] In this embodiment, the image acquisition module 1 acquires an image of the bread in the electric oven once every preset time period, and the volume estimation module 2 estimates the volume of the bread based on the image of the bread acquired by the image acquisition module 1; the color recognition module 3 extracts the color characteristics of the bread crust based on the image of the bread acquired by the image acquisition module 1; therefore, the volume data of a loaf of bread can be obtained every preset time period, and the central control module 4 can monitor the volume of the bread. When it is found that the volume data of the bread remains stable and no longer increases, it means that the bread stops expanding and the expansion stage ends. At this time, a cooling instruction is immediately sent to the temperature adjustment module 5, and the temperature adjustment module 5 controls the electric oven to switch to a low temperature, and the bread begins to enter the baking stage, and still every preset time period. The image data of a piece of bread can be obtained, and the color recognition module 3 will extract the color characteristics of the bread crust and send them to the central control module 4. The central control module 4 can monitor the color of the bread crust. When it is found that the color characteristics of the bread crust match the dark golden color, it means that the bread is baked. At this time, a closing instruction is immediately sent to the temperature adjustment module 5, and the temperature adjustment module 5 controls the electric oven to close and stop heating; the electric oven temperature is switched in time by monitoring the change of the bread volume, and whether the bread is ripe is judged by the final color of the bread crust. After it is found to be ripe, the electric oven is controlled to close in time; the electric oven is automatically controlled to adjust the temperature at different stages of bread baking, thereby solving the problem that the existing electric oven cannot automatically adjust the temperature according to the different stages of bread baking when baking bread. For example, two temperatures are preset in the temperature control module, namely, a high temperature of 220 degrees in the bread expansion stage and a low temperature of 180 degrees in the bread baking stage. After putting the bread into the electric oven, the central control module 4 sends an opening instruction to the temperature adjustment module 5, and the temperature adjustment module 5 controls the electric oven to heat to 220 degrees to bake the bread. Then, the central control module 4 monitors the volume of the bread through the image acquisition module 1 and the volume estimation module 2. When it is found that the volume of the bread is no longer increasing, it means that the bread expansion stage is over. At this time, the central control module 4 sends a cooling instruction to the temperature adjustment module 5, and the temperature adjustment module 5 controls the electric oven to switch from 220 degrees to 180 degrees to continue baking the bread. Then, the central control module 4 monitors the color of the bread crust through the image acquisition module 1 and the color recognition module 3. When it is found that the color of the bread crust turns into dark golden yellow, a closing instruction is sent to the temperature adjustment module 5, and the temperature adjustment module 5 controls the electric oven to close and stop heating.
[0028] Further, the image preprocessing unit 12 is connected to the camera array unit 11; The camera array unit 11 is used to capture images of bread in the electric oven from different angles; The image preprocessing unit 12 is used to preprocess the image of the bread.
[0029] In this embodiment, the camera array unit 11 is a camera arranged at different positions in the electric oven, which collects images of bread from multiple angles; the image preprocessing unit 12 is used to perform preliminary processing on the received raw image data so that the subsequent modules (the volume estimation module 2 and the color recognition module 3) can analyze more efficiently and accurately, including: using a denoising algorithm to remove noise in the image and improve image quality. This can be achieved through various filtering techniques, such as Gaussian filtering, median filtering, etc.; adjusting the color balance of the image to ensure color consistency and accuracy. This is particularly important for the color recognition module 3; improving image quality by contrast enhancement, brightness adjustment, etc. to make the features more obvious; and performing geometric correction on the image to eliminate image deformation caused by differences in camera viewing angles.
[0030] Furthermore, the lighting array unit 13 is used to illuminate the electric oven, so that the camera array unit 11 can obtain an accurate image of the bread.
[0031] In this embodiment, the lighting array unit 13 is a lighting lamp arranged at various positions of the electric oven, and is used to ensure that the camera array unit 11 acquires a clear image.
[0032] Further, the triangulation unit 22 is connected to the depth map generation unit 21, the surface reconstruction unit 23 is connected to the triangulation unit 22; the volume calculation unit 24 is connected to the surface reconstruction unit 23; The depth map generating unit 21 is used to generate a depth map according to the image of the bread; The triangulation unit 22 is used to generate a 3D mesh model of the bread according to the depth map data; The surface reconstruction unit 23 is used to optimize the 3D mesh model of the bread; The volume calculation unit 24 is used to calculate the volume of the bread according to the 3D mesh model of the bread.
[0033] In this embodiment, the depth map generation unit 21 uses a stereo matching algorithm to calculate a disparity map based on the matching results of feature points in the multi-view images, and then generates a depth map. The stereo matching algorithms that can be used include SGBM (semi-global block matching) and BM (block matching). The triangulation unit 22 uses the depth map data and a triangulation algorithm (such as Delaunay triangulation) to connect discrete depth points into a continuous 3D surface mesh, and calculates the normal vector of each triangular facet, which is very important for subsequent lighting rendering and volume calculation. The surface reconstruction unit 23 uses a smoothing algorithm (such as Laplacian smoothing and Taubin smoothing) to remove sharp edges and noise in the mesh, making the surface smoother and more natural, and detects and fills the empty areas in the mesh to ensure that the generated 3D model is closed and complete. The volume calculation unit 24 divides the 3D model into a number of small volume units (such as tetrahedrons or cubes) to facilitate accurate calculation of the total volume. The volume of each small volume unit is accumulated to finally obtain the overall volume of the bread.
[0034] Further, the color feature extraction unit 32 is connected to the image conversion unit 31; The image conversion unit 31 is used to convert the image of the bread into an HSV color space; The color feature extraction unit 32 is used to extract the color features of the bread crust according to the HSV color space.
[0035] In this embodiment, the image conversion unit 31 first converts the image into the HSV (hue, saturation, brightness) color space, which can more conveniently analyze color changes. The color feature extraction unit 32 extracts the color information of the bread crust, especially the proportion of dark golden pixels.
[0036] Further, the color matching unit 45 is connected to the color model building unit 44; The opening unit 41 is used to send an opening instruction to the temperature adjustment module 5; The timing unit 42 is used to set a preset time period and control the image acquisition module 1 to capture an image of the bread in the electric oven once every preset time period; The volume comparison unit 43 is used to compare the volume of bread in the current time period with the volume of bread in the previous time period. If the change is not large, it is determined that the bread expansion stage is over and a temperature reduction instruction is sent to the temperature adjustment module 5. The color model building unit 44 is used to train the color model based on bread sample images at known baking stages; The color matching unit 45 is used to match the color characteristics of the bread crust with the trained color model to determine the color of the bread crust. If it is detected that the bread crust turns into a dark golden color, a shutdown instruction is sent to the temperature adjustment module 5.
[0037] In this embodiment, the opening unit 41 is used to send an opening instruction to the temperature regulating module 5, so that the temperature regulating module 5 controls the electric oven to operate at a preset expansion stage temperature; the timing unit 42 is used for use by the management personnel, and an interval time is set, such as 5s, which is to control the image acquisition module 1 to collect an image of bread every 5s; the volume comparison unit 43 is used to obtain the bread volume data of the current and previous time periods, calculate the volume change, and if the change is less than a certain threshold, it is considered that the bread expansion is over, and a cooling instruction is sent to the temperature regulating module 5; the color model construction unit 44 is based on the bread sample images of the known baking stage, and trains the color model (this step is performed by the management personnel before leaving the factory), including: collecting bread sample images of different baking stages. Extracting the color features of the sample images (such as color histogram, color moment, etc.). Using machine learning algorithms (such as SVM, random forest) or deep learning models (such as CNN) to train the color classifier; the color matching unit 45 matches the color features of the bread crust with the trained color model, determines the color of the bread crust, and sends a closing instruction when a specific color is detected. Implementation method: Extract the color features of the current image. Input the extracted features into the trained color model for classification. If it is detected that the bread crust turns into a dark golden color, send a shutdown instruction to the temperature adjustment module 5.
[0038] Further, the temperature adjustment unit 52 is connected to the temperature preset unit 51; The temperature preset unit 51 is used to preset a first temperature required in the bread expansion stage and a second temperature required in the baking stage; The temperature regulating unit 52 is used to receive instructions from the central control module 4. When receiving an on instruction, it controls the electric oven to heat to a first temperature; when receiving a cooling instruction, it controls the first temperature of the electric oven to change to a second temperature; when receiving a off instruction, it controls the electric oven to stop heating.
[0039] In this embodiment, the temperature preset unit 51 is used by management personnel or bakers. According to different types of bread, the first temperature required for the bread expansion stage and the second temperature required for the baking stage are preset; the temperature adjustment unit 52 is used to receive instructions from the central control module 4. When an on instruction is received, the electric oven is controlled to heat to the first temperature; when a cooling instruction is received, the first temperature of the electric oven is controlled to be changed to the second temperature; when a off instruction is received, the electric oven is controlled to stop heating.
[0040] The temperature control system of the computer board of an electric oven described in this embodiment, the image acquisition module 1 acquires an image of the bread in the electric oven once every preset time period, the volume estimation module 2 estimates the volume of the bread based on the image of the bread acquired by the image acquisition module 1; the color recognition module 3 extracts the color characteristics of the bread crust based on the image of the bread acquired by the image acquisition module 1; therefore, the volume data of a loaf of bread can be obtained every preset time period, and the central control module 4 can monitor the volume of the bread. When it is found that the volume data of the bread remains stable and no longer increases, it means that the bread stops expanding and the expansion stage ends. At this time, a cooling instruction is immediately sent to the temperature adjustment module 5, and the temperature adjustment module 5 controls the electric oven to switch to a low temperature, and the bread begins to enter the baking stage, still every preset time period. Within a preset time period, image data of a piece of bread can be obtained. The color recognition module 3 extracts the color characteristics of the bread crust and sends them to the central control module 4. The central control module 4 can monitor the color of the bread crust. When it is found that the color characteristics of the bread crust match the dark golden color, it means that the bread is cooked. At this time, a shutdown command is immediately sent to the temperature adjustment module 5. The temperature adjustment module 5 controls the electric oven to shut down and stop heating. The temperature of the electric oven is switched in time by monitoring the change in the volume of the bread, and whether the bread is ripe is judged by the final color of the bread crust. If it is found to be ripe, the electric oven is controlled to shut down in time. The temperature of the electric oven is automatically controlled to adjust at different stages of bread baking, thereby solving the problem that the existing electric oven cannot automatically adjust the temperature according to the different stages of bread baking when baking bread. For example, two temperatures are preset in the temperature control module, namely, a high temperature of 220 degrees in the bread expansion stage and a low temperature of 180 degrees in the bread baking stage. After putting the bread into the electric oven, the central control module 4 sends an opening instruction to the temperature adjustment module 5, and the temperature adjustment module 5 controls the electric oven to heat to 220 degrees to bake the bread. Then, the central control module 4 monitors the volume of the bread through the image acquisition module 1 and the volume estimation module 2. When it is found that the volume of the bread is no longer increasing, it means that the bread expansion stage is over. At this time, the central control module 4 sends a cooling instruction to the temperature adjustment module 5, and the temperature adjustment module 5 controls the electric oven to switch from 220 degrees to 180 degrees to continue baking the bread. Then, the central control module 4 monitors the color of the bread crust through the image acquisition module 1 and the color recognition module 3. When it is found that the color of the bread crust turns into dark golden yellow, a closing instruction is sent to the temperature adjustment module 5, and the temperature adjustment module 5 controls the electric oven to close and stop heating.
[0041] The second embodiment of the present application is: See also Figure 7 ,in, Figure 7 It is a flowchart of the second embodiment of the present invention.
[0042] The present invention provides a temperature control method for an electric oven computer board, comprising: S1 The central control module 4 sends an opening instruction to the temperature adjustment module 5, and the temperature adjustment module 5 controls the electric oven to heat to a first temperature; S2 image acquisition module 1 acquires an image of bread in the electric oven every preset time period; S3: the volume estimation module 2 estimates the volume of the bread according to the image of the bread collected by the image acquisition module 1; the color recognition module 3 extracts the color characteristics of the bread crust according to the image of the bread collected by the image acquisition module 1; S4: the central control module 4 monitors the change of the volume of the bread according to the volume data of the bread at different times, and when it is found that the volume of the bread is no longer expanding, it immediately sends a temperature reduction instruction to the temperature adjustment module 5, and the temperature adjustment module 5 controls the electric oven to switch to the second temperature; S5 The central control module 4 monitors the change of the color characteristics of the bread crust. When it is found that the bread crust turns into a dark golden color, it immediately sends a shutdown instruction to the temperature adjustment module 5, and the temperature adjustment module 5 controls the electric oven to stop heating.
[0043] What is disclosed above is only one or more preferred embodiments of the present application, and cannot be used to limit the scope of rights of the present application. Ordinary technicians in this field can understand that all or part of the processes of implementing the above embodiments and equivalent changes made according to the claims of the present application are still within the scope covered by the present application.
Claims
1. A temperature control system for an electric oven computer board, characterized in that: It includes an image acquisition module, a volume estimation module, a color recognition module, a central control module and a temperature adjustment module; the volume estimation module is connected to the image acquisition module; the color recognition module is connected to the image acquisition module; the central control module is connected to the volume estimation module and to the color recognition module; the temperature adjustment module is connected to the central control module; The image acquisition module is used to acquire an image of the bread in the electric oven once every preset time period; The volume estimation module is used to estimate the volume of the bread according to the image of the bread collected by the image collection module; The color recognition module is used to extract the color characteristics of the bread crust according to the image of the bread collected by the image collection module; The central control module is used to send an opening instruction to the temperature regulating module; and is used to monitor the change of the volume of the bread according to the volume data of the bread at different times, and when it is found that the volume of the bread is no longer expanding, immediately send a cooling instruction to the temperature regulating module; and is also used to judge whether the bread is ripe according to the color characteristics of the bread crust, and when it is found that the bread is ripe, immediately send a closing instruction to the temperature regulating module; The temperature regulating module is used to receive instructions from the central control module and regulate the temperature inside the electric oven.
2. The temperature control system of the electric oven computer board according to claim 1, characterized in that: The image acquisition module includes a camera array unit and an image preprocessing unit; the image preprocessing unit is connected to the camera array unit; The camera array unit is used to capture images of bread in the electric oven from different angles; The image preprocessing unit is used to preprocess the image of the bread.
3. The temperature control system of the electric oven computer board as claimed in claim 2, characterized in that: The image acquisition module also includes an illumination lamp array unit; The lighting array unit is used to illuminate the electric oven, so that the camera array unit can obtain an accurate image of the bread.
4. The temperature control system of the electric oven computer board as claimed in claim 3, characterized in that: The volume estimation module comprises a depth map generation unit, a triangulation unit, a surface reconstruction unit and a volume calculation unit; the triangulation unit is connected to the depth map generation unit, the surface reconstruction unit is connected to the triangulation unit; the volume calculation unit is connected to the surface reconstruction unit; The depth map generating unit is used to generate a depth map according to the image of the bread; The triangulation unit is used to generate a 3D mesh model of the bread according to the depth map data; The surface reconstruction unit is used to optimize the 3D mesh model of the bread; The volume calculation unit is used to calculate the volume of the bread according to the 3D grid model of the bread.
5. The temperature control system of the electric oven computer board as claimed in claim 4, characterized in that: The color recognition module includes an image conversion unit and a color feature extraction unit; the color feature extraction unit is connected to the image conversion unit; The image conversion unit is used to convert the image of the bread into an HSV color space; The color feature extraction unit is used to extract the color features of the bread crust according to the HSV color space.
6. A temperature control system for an electric oven computer board as claimed in claim 5, characterized in that: The central control module includes an opening unit, a timing unit, a volume comparison unit, a color model construction unit and a color matching unit; the color matching unit is connected to the color model construction unit; The opening unit is used to send an opening instruction to the temperature adjustment module; The timing unit is used to set a preset time period and control the image acquisition module to acquire an image of the bread in the electric oven once every preset time period; The volume comparison unit is used to compare the volume of bread in the current time period with the volume of bread in the previous time period. If the change is not significant, it is determined that the expansion stage of the bread is over, and a temperature reduction instruction is sent to the temperature adjustment module; The color model building unit is used to train the color model based on bread sample images at known baking stages; The color matching unit is used to match the color characteristics of the bread crust with the trained color model to determine the color of the bread crust. If it is detected that the bread crust turns into a dark golden color, a shutdown instruction is sent to the temperature adjustment module.
7. A temperature control system for an electric oven computer board as claimed in claim 6, characterized in that: The temperature adjustment module includes a temperature preset unit and a temperature adjustment unit; the temperature adjustment unit is connected to the temperature preset unit; The temperature preset unit is used to preset a first temperature required in the bread expansion stage and a second temperature required in the baking stage; The temperature regulating unit is used to receive instructions from the central control module. When receiving an on instruction, it controls the electric oven to heat to a first temperature; when receiving a cooling instruction, it controls the first temperature of the electric oven to change to a second temperature; when receiving a off instruction, it controls the electric oven to stop heating.
8. A method for controlling the temperature of an electric oven computer board, applied to a temperature control system of an electric oven computer board as claimed in claim 7, characterized in that: include: The central control module sends an opening instruction to the temperature adjustment module, and the temperature adjustment module controls the electric oven to heat to a first temperature; The image acquisition module acquires an image of the bread in the electric oven once every preset time period; The volume estimation module estimates the volume of the bread according to the image of the bread collected by the image acquisition module; the color recognition module extracts the color characteristics of the bread crust according to the image of the bread collected by the image acquisition module; The central control module monitors the change of the volume of the bread according to the volume data of the bread at different times. When it is found that the volume of the bread is no longer expanding, it immediately sends a cooling instruction to the temperature adjustment module, and the temperature adjustment module controls the electric oven to switch to the second temperature; The central control module monitors the changes in the color characteristics of the bread crust. When it is found that the bread crust turns into a dark golden color, it immediately sends a shutdown command to the temperature regulation module, and the temperature regulation module controls the electric oven to stop heating.
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