CN113920240A - Three-dimensional imaging method for laboratory temperature field - Google Patents

Three-dimensional imaging method for laboratory temperature field Download PDF

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CN113920240A
CN113920240A CN202110544830.0A CN202110544830A CN113920240A CN 113920240 A CN113920240 A CN 113920240A CN 202110544830 A CN202110544830 A CN 202110544830A CN 113920240 A CN113920240 A CN 113920240A
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dimensional
temperature
array
temperature field
data
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CN113920240B (en
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韦汝煌
李健祯
李强荣
夏中满
唐建洪
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P&R Measurement Inc
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P&R Measurement Inc
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J5/00Radiation pyrometry, e.g. infrared or optical thermometry
    • G01J5/48Thermography; Techniques using wholly visual means
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J5/00Radiation pyrometry, e.g. infrared or optical thermometry
    • G01J2005/0077Imaging
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2200/00Indexing scheme for image data processing or generation, in general
    • G06T2200/04Indexing scheme for image data processing or generation, in general involving 3D image data

Abstract

The invention provides a three-dimensional imaging method for a laboratory temperature field, and relates to the technical field of temperature detection. The method comprises the following steps: detecting by a sensor to obtain related data, wherein the related data at least comprises temperature data; the temperature data is optimized to obtain a three-dimensional array, then the three-dimensional array is converted into pixel points, a room space of a laboratory is divided into different shapes and three-dimensional objects are synthesized, the pixel points are laid on array coordinate sites corresponding to the surfaces of the three-dimensional objects, then surface texture rendering is carried out on the whole three-dimensional objects, and finally the three-dimensional objects are synthesized, so that three-dimensional temperature field mapping of a room temperature field is completed. The method adopts the input discrete three-dimensional temperature to form a three-dimensional image, so that the problem that three-dimensional imaging cannot be realized at present is solved, and better use experience is achieved.

Description

Three-dimensional imaging method for laboratory temperature field
Technical Field
The invention relates to the technical field of temperature detection, in particular to a three-dimensional imaging method for a laboratory temperature field.
Background
In the traditional method for detecting the three-dimensional space temperature field, thermocouple arrays are distributed in the three-dimensional space (X, Y, Z direction) at equal intervals, and the temperature value of each point in the space is obtained through the temperature detected by the thermocouple arrays. And then calculating the temperature field of the whole space by software interpolation. The traditional method has accurate detection, but the cost is extremely high due to the requirement of a large number of thermocouples, and the traditional method is only limited to laboratory test. In addition, since the thermocouple array is a fixed hardware device, the coverage space range cannot be expanded, and the actual space is occupied by the bracket for fixing the thermocouple, so that the detection scheme cannot be used in products.
The chinese patent application 201910887223.7 provides a method for detecting a spatial three-dimensional temperature field, a computer-readable storage medium, and an intelligent household appliance, wherein related data is obtained by detecting with a sensor, the related data at least includes temperature data, then depth data is obtained by calculation according to the related data, temperature data of the surface of a spatial three-dimensional object is obtained by calculation combining the depth data and the temperature data, and further the spatial temperature field is estimated; the invention effectively solves the problem of traditional air conditioner temperature detection, can detect the three-dimensional temperature information of the space in real time, has high accuracy, and can automatically adjust the air conditioner mode according to the temperature information so as to achieve better use experience.
Chinese patent application 201210013761.1 discloses a three-dimensional temperature imaging method, comprising the steps of: obtaining image data by scanning of a three-dimensional imaging sequence; selecting the image data to obtain image data of a corresponding layer; respectively calculating the background phases of the regions to be detected of the corresponding layers; performing linear interpolation according to the calculated background phase to obtain the background phase of the image data of other layers; and calculating the difference between the actual phase and the background phase of the region to be measured in the image data layer by layer to obtain a temperature change diagram. According to the three-dimensional temperature imaging method and the three-dimensional temperature imaging system, after the background phase corresponding to the selected image data of the corresponding layer is calculated, linear interpolation is carried out according to the calculated background phase to obtain the background phase of the image data of other layers, a large amount of calculation is not needed, and the calculation efficiency is greatly improved.
Chinese patent application CN202010920348.8 discloses a granary temperature distribution mode detection method based on spatial interpolation and BIM. The method comprises the following steps: constructing a granary building information model; generating a three-dimensional grid space; according to the temperature value measured by the temperature sensor in real time, carrying out temperature interpolation on grid points of the three-dimensional grid space by using a spatial interpolation method to obtain the temperature of each grid point; aiming at each grid space, calculating the average value of the temperature values of all vertexes of the grid space as the temperature value of the grid space, and generating a granary three-dimensional grid space temperature field; generating a thermal imaging temperature field at the top of the grain pile according to the thermal imaging image at the top of the grain pile and the calibration relation between the thermal imaging pixel value and the temperature of the grain pile; carrying out fusion correction on the granary three-dimensional grid space temperature field by using the thermal imaging temperature field at the top of the granary; and displaying the granary scene and the real-time three-dimensional temperature field on a foreground page by a WebGIS technology.
However, the testing method disclosed in the prior art is not suitable for an experience heating ventilation laboratory or a comfort laboratory which needs a temperature field, and therefore a three-dimensional imaging method of the temperature field in the laboratory needs to be designed.
Disclosure of Invention
The invention provides a three-dimensional imaging method of a laboratory temperature field, which adopts discrete three-dimensional temperature values to form a three-dimensional image so as to solve the aim of three-dimensional imaging.
In order to achieve the purpose, the invention adopts the following technical scheme:
a three-dimensional imaging method of a laboratory temperature field comprises the steps that related data are obtained through detection of a sensor, wherein the related data at least comprise room three-dimensional data;
the specific method for obtaining the room three-dimensional data comprises the following steps: the temperature sensor acquires data through the data acquisition device to acquire three-dimensional temperature data, the three-dimensional temperature data is optimized through the array optimization module to obtain an optimized three-dimensional array, the optimized three-dimensional array performs a high-density interpolation algorithm through the number of pixel points corresponding to the three-dimensional object proportion to generate a three-dimensional array of pixels corresponding to the size of the three-dimensional object, then the three-dimensional array is converted into a pixel point array by an array conversion pixel module, then the shape of the room space is divided into cuboids with different volumes by a multi-shape building module, and a plurality of basic objects are established to synthesize a polygonal three-dimensional object, pixel points of array coordinate positions corresponding to the surface of the polygonal three-dimensional object are laid on the surface of the three-dimensional object, and then, performing surface texture rendering on the whole three-dimensional object through a three-dimensional object texture processing module, and finally synthesizing the three-dimensional object, thereby completing the three-dimensional temperature field mapping of the room temperature field.
The method for converting the three-dimensional array into the pixel point array comprises the following steps:
firstly, converting a three-dimensional array into a plurality of two-dimensional arrays, interpolating on two-dimensional data, generating interpolation points by using a bicubic surface and ensuring that a first-order partial derivative and a second-order derivative of the inserted surface are continuous;
then, after the interpolation of the two-dimensional array is completed, converting red, green and blue RGB values between 0 and 255 into corresponding RGB color values, making a one-dimensional array of 255 color values, setting a temperature range of maximum temperature and minimum temperature for a temperature field, and performing interpolation processing in the temperature range to correspond to a temperature value of 255 degrees;
and finally, replacing the temperature values in the two-dimensional arrays with corresponding RGB color values, and forming the two-dimensional arrays into a three-dimensional array.
The three-dimensional object is subjected to surface texture processing and comprises the following steps:
(1) modeling the three-dimensional shape of the temperature field, creating the geometric shapes of the three-dimensional objects, designing the volume of each geometric shape, splicing a plurality of basic geometric shapes into a required shape in a three-dimensional coordinate and combining the shapes into one object;
(2) and giving object colors to each object, drawing pixels on the appearance of the three-dimensional geometric shape according to the corresponding coordinates by using the color array values of the three-dimensional object, and performing texture processing on the surface of the geometric shape to finish the drawing of the three-dimensional temperature field.
When the internal temperature needs to be seen, the internal structure is exposed only by deformation of the geometric figure, and the color value corresponding to the three-dimensional array is displayed.
The geometric figure in the step (1) includes basic geometric shapes such as a cube, a sphere, a cone and a cylinder.
The laboratory temperature field three-dimensional imaging method provided by the invention has the beneficial effects that: the method adopts the input discrete three-dimensional temperature to form a three-dimensional image, so as to solve the problem that the three-dimensional imaging cannot be realized at present, and has better use experience.
The difference and the effect from the prior art are as follows: the temperature field imaging of a laboratory can be decomposed into basic geometric objects with different sizes, the temperature points detected actually are divided into three-dimensional arrays according to the basic geometric objects, and then the pixel points of the three-dimensional arrays are generated through discrete interpolation and color correspondence of three-dimensional data. And selecting corresponding three-dimensional pixel points according to different volume selections to generate textures, laying the textures on the surface of the temperature field three-dimensional graph, generating the three-dimensional temperature field graph, and displaying the three-dimensional temperature field graph by using the color corresponding to the temperature. And the corresponding temperature inside the temperature field can be viewed, and is displayed in a continuous color graph. As is the true temperature distribution.
Drawings
FIG. 1 is a flow chart of a laboratory temperature field three-dimensional imaging method according to example 1 of the present invention;
fig. 2 shows that the three-dimensional array described in embodiment 1 of the present invention is converted into a pixel array.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings of the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
Example 1 three-dimensional imaging method for laboratory temperature field
As shown in fig. 1, the related data is obtained by the detection of a sensor, and the related data at least comprises three-dimensional data of a room;
the specific method for obtaining the room three-dimensional data comprises the following steps: the temperature sensor acquires data through the data acquisition device to acquire three-dimensional temperature data, the three-dimensional temperature data is optimized through the array optimization module to obtain an optimized three-dimensional array, the optimized three-dimensional array performs a high-density interpolation algorithm through the number of pixel points corresponding to the three-dimensional object proportion to generate a three-dimensional array of pixels corresponding to the size of the three-dimensional object, then the three-dimensional array is converted into a pixel point array by an array conversion pixel module, then the shape of the room space is divided into a plurality of cuboids with different volumes by a multi-shape building module, and a plurality of basic objects are established to synthesize a polygonal three-dimensional object, pixel points of array coordinate positions corresponding to the surface of the polygonal three-dimensional object are laid on the surface of the three-dimensional object, and then, performing surface texture rendering on the whole three-dimensional object through a three-dimensional object texture processing module, and finally synthesizing the three-dimensional object, thereby completing the three-dimensional temperature field mapping of the room temperature field.
The method for converting the three-dimensional array into the pixel point array comprises the following steps:
firstly, converting a three-dimensional array into a plurality of two-dimensional arrays, interpolating on two-dimensional data, generating interpolation points by using a bicubic surface and ensuring that a first-order partial derivative and a second-order derivative of the inserted surface are continuous;
as shown in FIG. 2, the two-dimensional arrays xi and yi are used to specify the coordinates to be interpolated, what the lengths of xi and yi are how many times. That is, zim, the coordinates of n are (xim, n, yim, n), and m and n are indices of xi, yi, and zi. One-dimensional arrays X and Y are used to specify the coordinates of Z. i and j are indices of X and Y. The two-dimensional array Z is used to represent the corresponding strain amount and the red dots are used to specify the zim, n position.
After the interpolation of the two-dimensional array is completed, converting red, green and blue RGB values between 0 and 255 into corresponding RGB color values, making a one-dimensional array of 255 color values, setting a temperature range of maximum temperature and minimum temperature for a temperature field, and performing interpolation processing in the temperature range to correspond to a temperature value of 255 degrees;
and finally, replacing the temperature values in the two-dimensional arrays with corresponding RGB color values, and forming the two-dimensional arrays into a three-dimensional array.
The three-dimensional object is subjected to surface texture processing and comprises the following steps:
(1) modeling the three-dimensional shape of the temperature field, creating the geometric shapes of the three-dimensional objects, designing the volume of each geometric shape, splicing a plurality of basic geometric shapes into a required shape in a three-dimensional coordinate and combining the shapes into one object;
(2) and giving object colors to each object, drawing pixels on the appearance of the three-dimensional geometric shape according to the corresponding coordinates by using the color array values of the three-dimensional object, and performing texture processing on the surface of the geometric shape to finish the drawing of the three-dimensional temperature field.
When the internal temperature needs to be seen, the internal structure is exposed only by deformation of the geometric figure, and the color value corresponding to the three-dimensional array is displayed.
The geometric figure in the step (1) includes basic geometric shapes such as a cube, a sphere, a cone and a cylinder.
The laboratory temperature field three-dimensional imaging method provided by the invention has the beneficial effects that: the method adopts the input discrete three-dimensional temperature to form a three-dimensional image, so as to solve the problem that the three-dimensional imaging cannot be realized at present, and has better use experience.
The above detailed description is specific to possible embodiments of the present invention, and the embodiments are not intended to limit the scope of the present invention, and all equivalent implementations or modifications that do not depart from the scope of the present invention should be included within the scope of the present invention.

Claims (6)

1. A three-dimensional imaging method of a laboratory temperature field is characterized in that: detecting by a sensor to obtain related data, wherein the related data at least comprises temperature data; the temperature data is optimized to obtain a three-dimensional array, then the three-dimensional array is converted into pixel points, a room space of a laboratory is divided into different shapes and three-dimensional objects are synthesized, the pixel points are laid on array coordinate sites corresponding to the surfaces of the three-dimensional objects, then surface texture rendering is carried out on the whole three-dimensional objects, and finally the three-dimensional objects are synthesized, so that three-dimensional temperature field mapping of a room temperature field is completed.
2. The laboratory temperature field three-dimensional imaging method according to claim 1, characterized in that: the specific method for obtaining the room three-dimensional data comprises the following steps: the temperature sensor acquires data through the data acquisition device to acquire three-dimensional temperature data, the three-dimensional temperature data is optimized through the array optimization module to obtain an optimized three-dimensional array, the optimized three-dimensional array performs a high-density interpolation algorithm through the number of pixel points corresponding to the three-dimensional object proportion to generate a three-dimensional array of pixels corresponding to the size of the three-dimensional object, then the three-dimensional array is converted into a pixel point array by an array conversion pixel module, then the shape of the room space is divided into a plurality of cuboids with different volumes by a multi-shape building module, and a plurality of basic objects are established to synthesize a polygonal three-dimensional object, pixel points of array coordinate positions corresponding to the surface of the polygonal three-dimensional object are laid on the surface of the three-dimensional object, and then, performing surface texture rendering on the whole three-dimensional object through a three-dimensional object texture processing module, and finally synthesizing the three-dimensional object, thereby completing the three-dimensional temperature field mapping of the room temperature field.
3. The laboratory temperature field three-dimensional imaging method according to claim 2, characterized in that: the method for converting the three-dimensional array into the pixel point array comprises the following steps:
firstly, converting a three-dimensional array into a plurality of two-dimensional arrays, interpolating on two-dimensional data, generating interpolation points by using a bicubic surface and ensuring that a first-order partial derivative and a second-order derivative of the inserted surface are continuous;
then, after the interpolation of the two-dimensional array is completed, converting red, green and blue RGB values between 0 and 255 into corresponding RGB color values, making a one-dimensional array of 255 color values, setting a temperature range of maximum temperature and minimum temperature for a temperature field, and performing interpolation processing in the temperature range to correspond to a temperature value of 255 degrees;
and finally, replacing the temperature values in the two-dimensional arrays with corresponding RGB color values, and forming the two-dimensional arrays into three-dimensional arrays to obtain the pixel sites.
4. The laboratory temperature field three-dimensional imaging method according to claim 2, characterized in that: the three-dimensional object is subjected to surface texture processing and comprises the following steps:
(1) modeling the three-dimensional shape of the temperature field, creating the geometric shapes of the three-dimensional objects, designing the volume of each geometric shape, splicing a plurality of basic geometric shapes into a required shape in a three-dimensional coordinate and combining the shapes into one object;
(2) and giving object colors to each object, drawing pixels on the appearance of the three-dimensional geometric shape according to the corresponding coordinates by using the color array values of the three-dimensional object, and performing texture processing on the surface of the geometric shape to finish the drawing of the three-dimensional temperature field.
5. The laboratory temperature field three-dimensional imaging method according to claim 4, characterized in that: when the internal temperature needs to be seen, the geometric figure is deformed to expose the internal structure, and the color value corresponding to the three-dimensional array is displayed.
6. The laboratory temperature field three-dimensional imaging method according to claim 2, characterized in that: the geometric figures in the step (1) comprise basic geometric shapes of a cube, a sphere, a cone and a cylinder.
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