Temperature control intelligent material deformation response control method, system and equipment
By continuously capturing images of temperature measurements of the temperature-controlled smart material and identifying the rate of temperature change, combined with a current increment model and an optical character recognition trainer (OCRT), the problems of slow response speed and low accuracy of the temperature-controlled smart material were solved, achieving rapid and accurate deformation response control of the material.
Patent Information
- Application Number
- CN202511150694.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-18
- Publication Date
- 2025-12-02
AI Technical Summary
In existing technologies, temperature-controlled smart materials have a low response speed, and the accuracy of temperature change values is poor due to human experience, making it impossible to accurately obtain the temperature change values of the ideal deformation response.
By continuously capturing images of temperature measurements of the temperature-controlled smart material, the rate of temperature change is identified, and the current is adjusted using a current increment model to control the material's deformation response speed. Combined with an optical character recognition trainer (OCRT), the temperature measurements are automatically identified and processed to obtain the current increment and achieve an ideal deformation response.
This enables rapid response control of temperature-controlled smart materials, improving the accuracy of temperature change values and the precision of response speed, thus ensuring the rapid response of the material-driven system.
Smart Images
Figure CN121050488A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of intelligent material detection technology, and in particular to a method, system and device for controlling the deformation response of temperature-controlled intelligent materials. Background Technology
[0002] Temperature-controlled smart materials, such as shape memory alloys, can exhibit different deformation response characteristics with changes in temperature, and can be applied to intelligent drive control systems in fields such as robotics, aerospace, and medicine. However, the relatively low response speed of temperature-controlled smart materials limits their widespread application in various fields.
[0003] In existing technologies, intelligent material-driven control systems rely solely on human experience to determine the impact of temperature changes on the intelligent material's response speed, thereby obtaining the temperature change value corresponding to the desired response speed of the temperature-controlled intelligent material. However, the accuracy of the temperature change value determined by the aforementioned technology is poor due to the subjective influence of human experience, and it cannot accurately obtain the temperature change value that allows the temperature-controlled intelligent material to produce an ideal deformation response. Summary of the Invention
[0004] This invention provides a method, system, and device for controlling the deformation response of temperature-controlled smart materials, which can solve the problem in the prior art that it is impossible to accurately obtain the temperature change value that enables temperature-controlled smart materials to produce an ideal deformation response.
[0005] This invention provides a method for controlling the deformation response of a temperature-controlled smart material, comprising the following steps: Using a changing current, the temperature-controlled smart material is induced to deform under temperature changes. Multiple temperature measurement images are captured sequentially over time as the arc of the temperature-controlled smart material changes from 90 degrees to 0 degrees, and multiple temperature measurement values in the images are identified. When multiple temperature measurements are arranged in chronological order, the initial and final values are different. The rate of temperature change is obtained by the ratio of the first difference between the set value and the final value and the second difference between the set value and the initial value. The set value is the temperature value measured in the laboratory when the radius of the temperature-controlled smart material changes from 90 degrees to 0 degrees. The temperature change rate is input into the current increment model used to adjust the current acting on the temperature-controlled smart material to obtain the current increment that allows the material to deform and respond at the required speed.
[0006] Furthermore, the trained optical character recognition (OCRT) trainer for recognizing temperature measurements includes the following specific training steps: converting the temperature measurement images captured by the camera into frames and performing preprocessing on each frame, including grayscale conversion, binarization, noise reduction, closing operation, and thinning; labeling the preprocessed images with temperature measurements; dividing the labeled images into training, validation, and test sets; using the training set to train the OCRT to recognize temperature measurements; and using the validation set to evaluate the performance of the trained OCRT.
[0007] Furthermore, the specific steps of inputting the temperature change rate into the current increment model used to adjust the current acting on the temperature-controlled smart material, and obtaining the current increment that allows the material deformation response speed to reach the required level, include: The temperature value T was obtained through preliminary experiments at the instant when the arc of the temperature-controlled smart material changed from 90 degrees to 0 degrees at a set room temperature. g ; The formula for obtaining the rate of temperature change ΔT(t) is: △T(t)=(T g -T(t)) / (T g -T0); Where t is time; T0 is the initial temperature value of the experiment; T(t) is the temperature value of the temperature-controlled smart material at time t; The required adjustment of the current increment I0 acting on the temperature-controlled smart material is: I0=w1△T(t)+w2*(D-D0)+w3*(L-L0); Where w1, w2, and w3 are all empirical coefficients; D0 is the temperature value T. g The diameter of the temperature-controlled smart material used; L0 is the temperature value T to be obtained. g The length of the temperature control smart material used; D is the diameter of the actual temperature control smart material being tested; L is the length of the actual temperature control smart material being tested.
[0008] This invention provides a control system for the deformation response of a temperature-controlled smart material, comprising: The temperature measurement module is used to use a changing current to cause the temperature-controlled smart material to deform under the action of temperature change. It continuously captures multiple temperature measurement images of the temperature-controlled smart material as the curvature changes from 90 degrees to 0 degrees in time, and identifies multiple temperature measurement values in the images. The material deformation response module is used to obtain the temperature change rate when the initial and final values of multiple temperature measurements are arranged in chronological order and are different. The temperature change rate is obtained by the ratio of the first difference between the set value and the final value and the second difference between the set value and the initial value. The set value is the temperature value measured in the laboratory when the radius of the temperature-controlled smart material changes from 90 degrees to 0 degrees. The temperature change rate is input into the current increment model used to adjust the current acting on the temperature-controlled smart material to obtain the current increment that allows the material deformation response speed to reach the required level.
[0009] This invention provides a computer device, including a memory and a processor; the memory stores a computer program, and the processor executes the computer program to implement the above-described method for controlling the deformation response of a temperature-controlled smart material.
[0010] This invention provides a method, system, and device for controlling the deformation response of temperature-controlled smart materials. Compared with the prior art, its advantages are as follows: When multiple temperature measurements are arranged in chronological order, the initial and final values are different. The temperature change rate is obtained based on the changing temperature measurements. The temperature change rate is input into the current increment model used to adjust the current acting on the temperature-controlled smart material. The current increment required to make the material deform and respond at the required speed is obtained. Finally, a current increment can be accurately obtained so that the temperature-controlled smart material produces an ideal deformation response due to temperature changes. Attached Figure Description
[0011] Figure 1 A system flowchart provided for embodiments of the present invention; Figure 2 The image shows an initial temperature measurement value and the temperature measurement value provided in the embodiments of the present invention, wherein (a) is a temperature measurement value image; (b) is a labeled temperature measurement value; and (c) is an identified temperature measurement value. Figure 3 The images and values of temperature measurement when the temperature-controlled smart material generates a deformation response are provided in the embodiments of the present invention, wherein (a) is an image of temperature measurement when a deformation response is generated; (b) is a temperature measurement value marked when a deformation response is generated; and (c) is a temperature measurement value identified when a deformation response is generated. Figure 4 A system testing flowchart provided for an embodiment of the present invention. Detailed Implementation
[0012] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Many specific details are set forth in the following description to provide a thorough understanding of the present invention. However, the present invention can be practiced in many other ways different from those described herein, and those skilled in the art can make similar modifications without departing from the spirit of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.
[0013] See Figure 1 This invention provides a method for controlling the deformation response of a temperature-controlled smart material, comprising the following steps: Step 1: Use a changing current to cause the temperature-controlled smart material to deform under temperature changes. Take multiple temperature measurement images in chronological order as the curvature of the temperature-controlled smart material changes from 90 degrees to 0 degrees, and identify multiple temperature measurement values in the images.
[0014] Step 2: When the initial and final values of multiple temperature measurements are arranged in chronological order, the temperature change rate is obtained based on the ratio of the first difference between the set value and the final value and the second difference between the set value and the initial value. The set value is the temperature value measured in the laboratory when the radius of the temperature-controlled smart material changes from 90 degrees to 0 degrees.
[0015] Step 3: Input the temperature change rate into the current increment model used to adjust the current acting on the temperature-controlled smart material, and obtain the current increment that makes the material deformation response speed reach the required level.
[0016] In the system constructed by this invention, during the driving process, the camera captures images of the digital area of the thermometer and uploads them to the intelligent module system. The intelligent module system automatically determines the temperature response rate from the real-time video uploaded by the camera. The intelligent module system labels the determined temperature response rate (the faster the temperature change rate, the higher the material's response speed, but excessively high rates can cause the material to spontaneously combust). It adjusts the temperature change rate and issues commands according to the given temperature change rate to cause the intelligent material to respond accordingly. After the intelligent material responds accordingly, it feeds back to the intelligent module. The results of the identification and judgment are displayed on the screen. The operations performed by the intelligent module are automatic while the camera is capturing images in real time, requiring no manual operation of the intelligent module.
[0017] The steps for the intelligent module system to identify and store temperature data are as follows: 1. Convert video frames transmitted from the camera into images and store them in the system; 2. Locate the coordinates of the upper left and lower right points of the thermometer display area in each frame of the image; 3. Perform grayscale, binarization, noise reduction, closing operation, and thinning on each frame of the image in sequence; 4. Use the Optical Character Recognition (OCRT) module to train the automatic recognition of numbers; 5. Use the OCRT trainer to identify the numbers in each frame of the image and store them in an Excel spreadsheet; 6. The temperature change rate data is obtained by dividing the temperature difference between the previous frame and the next frame by the temperature difference between the highest and lowest temperatures, and then output to the display. Figures 2-3 As shown.
[0018] 7. Adjust the power supply based on the temperature change rate data until the smart material achieves a satisfactory response speed.
[0019] This invention assists engineers in identifying and judging the degree of temperature change in smart materials during the driving process, thereby determining the response speed of shape memory alloys and ensuring the rapid response of the smart material driving system. For example... Figure 4 The test process for this system is shown below.
[0020] This invention provides a control system for the deformation response of a temperature-controlled smart material, comprising: The temperature measurement module is used to induce material deformation response in the temperature-controlled smart material by using a changing current. It continuously captures multiple temperature measurement images of the temperature-controlled smart material as the curvature changes from 90 degrees to 0 degrees in chronological order, and identifies multiple temperature measurement values in the images.
[0021] The material deformation response module is used to obtain the temperature change rate when the initial and final values of multiple temperature measurements are arranged in chronological order. The initial and final values are different. The ratio of the first difference between the set value and the final value and the second difference between the set value and the initial value is used to obtain the temperature change rate. The set value is the temperature value measured in the laboratory when the radius of the temperature-controlled smart material changes from 90 degrees to 0 degrees. The temperature change rate is input into the current increment model used to adjust the current acting on the temperature-controlled smart material to obtain the current increment that makes the material deformation response speed reach the required level.
[0022] This invention provides a computer device, including: a memory and a processor; the memory stores a computer program, and the processor executes the computer program to implement the steps of a control method for the deformation response of a temperature-controlled smart material.
[0023] A specific example is as follows: This invention discloses a method for controlling the deformation response of temperature-controlled smart materials, the specific steps of which include: S1. A preliminary experiment was conducted on the shape memory alloy. A shape memory alloy with a diameter of 0.5 mm and a length of 5 cm was obtained. At an indoor temperature of 25°C, the temperature value at which the arc of the shape memory alloy changed from 90 degrees to 0 degrees was measured and used as the set value Tg. T0 is the initial test temperature, and T(t) is the temperature value of the temperature-controlled smart material at time t. The temperature change rate ΔT(t) at time t was obtained: ΔT(t) = (T g -T(t)) / (T g -T0).
[0024] S2. In the formal experiment, the temperature T(t) rapidly changes to the set value Tg (Tg is the phase transition temperature of the material (obtained through preliminary experiments)). This is achieved by adjusting the magnitude of the current, because the magnitude of Δt depends on the rate of change of the current, as well as the diameter and length of the material. The required adjustment of the current increment I0 acting on the temperature-controlled smart material is:
[0025] I0=w1△T(t)+w2*(D-D0)+w3*(L-L0).
[0026] Where w1, w2, and w3 are all empirical coefficients; D0 is the diameter of the temperature-controlled smart material; L0 is the length of the temperature-controlled smart material; D is the actual diameter of the temperature-controlled smart material being measured; and L is the actual length of the temperature-controlled smart material being measured.
[0027] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. 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 all fall within the protection scope of the present invention. Therefore, the protection scope of this invention patent should be determined by the appended claims.
Claims
1. A method for controlling the deformation response of a temperature-controlled smart material, characterized in that, Includes the following steps: Using a changing current, the temperature-controlled smart material is induced to deform under temperature changes. Multiple temperature measurement images are captured sequentially over time as the arc of the temperature-controlled smart material changes from 90 degrees to 0 degrees, and multiple temperature measurement values in the images are identified. When multiple temperature measurements are arranged in chronological order, the initial and final values are different. The rate of temperature change is obtained by the ratio of the first difference between the set value and the final value and the second difference between the set value and the initial value. The set value is the temperature value measured in the laboratory when the radius of the temperature-controlled smart material changes from 90 degrees to 0 degrees. The temperature change rate is input into the current increment model used to adjust the current acting on the temperature-controlled smart material to obtain the current increment that allows the material to deform and respond at the required speed.
2. The method for controlling the deformation response of a temperature-controlled smart material as described in claim 1, characterized in that, The specific steps for identifying multiple temperature measurements in the image include: Multiple temperature measurement images of the temperature-controlled smart material are input into the trained optical character recognition (OCRT) trainer to recognize the multiple temperature measurements.
3. The method for controlling the deformation response of a temperature-controlled smart material as described in claim 2, characterized in that, The trained optical character recognition trainer (OCRT) includes the following specific training steps: The temperature measurement images captured by the camera are divided into frames and converted into pictures. Each frame of the picture is preprocessed by grayscale, binarization, noise reduction, closing operation and thinning. Label the temperature measurement values on the preprocessed images; The labeled images are divided into training, validation, and test sets. The training set is used to train the OCRT to recognize temperature measurements, and the validation set is used to evaluate the performance of the trained OCRT.
4. The method for controlling the deformation response of a temperature-controlled smart material as described in claim 1, characterized in that, The step of inputting the temperature change rate into the current increment model used to adjust the current acting on the temperature-controlled smart material, and obtaining the current increment that allows the material deformation response speed to reach the required level, includes the following specific steps: The temperature value T was obtained through preliminary experiments at the instant when the arc of the temperature-controlled smart material changed from 90 degrees to 0 degrees at a set room temperature. g ; The formula for obtaining the rate of temperature change ΔT(t) is: △T(t)=(T g -T(t)) / (T g -T0); Where t is time; T0 is the initial temperature value of the experiment; T(t) is the temperature value of the temperature-controlled smart material at time t; The required adjustment of the current increment I0 acting on the temperature-controlled smart material is: I0=w1△T(t)+w2*(D-D0)+w3*(L-L0); Where w1, w2, and w3 are all empirical coefficients; D0 is the temperature value T. g The diameter of the temperature-controlled smart material used; L0 is the temperature value T to be obtained. g The length of the temperature control smart material used; D is the diameter of the actual temperature control smart material being tested; L is the length of the actual temperature control smart material being tested.
5. A control system for the deformation response of a temperature-controlled intelligent material, characterized in that, include: The temperature measurement module is used to use a changing current to cause the temperature-controlled smart material to deform under the action of temperature change. It continuously captures multiple temperature measurement images of the temperature-controlled smart material as the curvature changes from 90 degrees to 0 degrees in time, and identifies multiple temperature measurement values in the images. The material deformation response module is used to obtain the temperature change rate when the initial and final values of multiple temperature measurements are arranged in chronological order and are different, based on the ratio of the first difference between the set value and the final value and the second difference between the set value and the initial value; wherein, the set value is the temperature value measured in the laboratory when the radius of the temperature-controlled smart material changes from 90 degrees to 0 degrees. The temperature change rate is input into the current increment model used to adjust the current acting on the temperature-controlled smart material to obtain the current increment that allows the material to deform and respond at the required speed.
6. A computer device, comprising: Memory and processor; The memory stores a computer program, characterized in that, when the processor executes the computer program, it implements a method for controlling the deformation response of a temperature-controlled smart material according to any one of claims 1 to 4.