CN111442998A - Stalk dynamic process multi-parameter test platform of buckling based on digit twin - Google Patents

Stalk dynamic process multi-parameter test platform of buckling based on digit twin Download PDF

Info

Publication number
CN111442998A
CN111442998A CN202010374798.1A CN202010374798A CN111442998A CN 111442998 A CN111442998 A CN 111442998A CN 202010374798 A CN202010374798 A CN 202010374798A CN 111442998 A CN111442998 A CN 111442998A
Authority
CN
China
Prior art keywords
unit
data
bending
acquisition unit
speed
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202010374798.1A
Other languages
Chinese (zh)
Other versions
CN111442998B (en
Inventor
齐江涛
丛旭
张志辉
左文杰
田辛亮
李茂�
刘凯
孙会彬
包志远
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Jilin University
Original Assignee
Jilin University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Jilin University filed Critical Jilin University
Priority to CN202010374798.1A priority Critical patent/CN111442998B/en
Publication of CN111442998A publication Critical patent/CN111442998A/en
Application granted granted Critical
Publication of CN111442998B publication Critical patent/CN111442998B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N3/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N3/30Investigating strength properties of solid materials by application of mechanical stress by applying a single impulsive force, e.g. by falling weight
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N3/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N3/02Details
    • G01N3/06Special adaptations of indicating or recording means
    • G01N3/068Special adaptations of indicating or recording means with optical indicating or recording means
    • 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
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/0001Type of application of the stress
    • G01N2203/001Impulsive
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/0014Type of force applied
    • G01N2203/0023Bending
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/02Details not specific for a particular testing method
    • G01N2203/06Indicating or recording means; Sensing means
    • G01N2203/0641Indicating or recording means; Sensing means using optical, X-ray, ultraviolet, infrared or similar detectors
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/02Details not specific for a particular testing method
    • G01N2203/06Indicating or recording means; Sensing means
    • G01N2203/067Parameter measured for estimating the property
    • G01N2203/0676Force, weight, load, energy, speed or acceleration

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Computer Graphics (AREA)
  • Geometry (AREA)
  • Software Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Processing Or Creating Images (AREA)

Abstract

The invention relates to a stem bending dynamic process multi-parameter testing platform based on digital twins, which belongs to the technical field of agricultural material property detection, and comprises stem and testing devices, a physical space data acquisition layer, a simulation system, a virtual mapping space and an upper computer, and comprises the following implementation steps: a multi-parameter testing platform for the dynamic process of stalk bending is built; B. and realizing virtual mapping in the test process by using a digital twin technology. The invention can realize multi-parameter detection in the dynamic process of stalk bending and can intuitively obtain the parameter data and bending images of the stalks. Meanwhile, a digital twinning technology is applied to multi-parameter testing of the stem bending process, and under the driving of the digital twinning technology, the simulation of the stem bending dynamic process is completed through the two-way real mapping and real-time information interaction of the entity equipment of the virtual mapping space and the physical space and the information fusion of the real object virtual static model and the dynamic collected data.

Description

Stalk dynamic process multi-parameter test platform of buckling based on digit twin
Technical Field
The invention belongs to the technical field of agricultural material property detection, and particularly relates to a stalk bending dynamic process multi-parameter testing platform based on a digital twin.
Background
Most of crop stalks have the characteristics of uneven materials, easy deformation and irregularity, and the analysis and detection of the bending characteristics of the crop stalks are difficult, but the detection of the bending characteristics of the crop stalks has very important significance for breeding excellent seeds, improving the lodging resistance of crops and further improving the crop yield. At present, a special platform for detecting dynamic parameters of a crop stalk bending process is not provided, and a device and a method for carefully selecting and detecting the physical characteristics of the stalks have two problems, namely the precision of equipment and instruments is to be improved, and the dynamic detection of the stalk parameters is difficult to realize. In order to obtain more accurate detection data and research the bending characteristic of crop stalks, the invention designs a stalk bending process dynamic test platform, which is used for carrying out multi-parameter detection on the stalk bending dynamic process by a self-designed detection platform, and carries out data processing on an upper computer through a front-end sensor and a data transmission interface to display the parameter data and the bending image of the stalks. The invention innovatively applies a digital twinning technology to a multi-parameter testing platform in the stem bending process, and under the drive of the digital twinning technology, the simulation of the whole stem bending dynamic process is completed through the bidirectional real mapping and real-time information interaction of physical equipment in a virtual mapping space and a physical space and the information fusion of a real object virtual static model and dynamically acquired data.
Disclosure of Invention
The invention aims to solve the problems and provides a stalk bending dynamic process multi-parameter testing platform based on digital twins.
The invention relates to a stalk bending dynamic process multi-parameter testing platform based on digital twins, which consists of a stalk and testing device A, a physical space data acquisition layer B, a simulation system C, a virtual mapping space D and an upper computer E, wherein the signal output end of the stalk and testing device A is connected with the signal input end of the physical space acquisition layer B; virtual-real linkage bidirectional signal transmission channels are constructed among the physical space data acquisition layer B, the simulation system C and the virtual mapping space D, and bidirectional communication connection is realized; the signal output end of the physical space data acquisition layer B is connected with the signal input end of the upper computer E; and the signal output end of the upper computer E is connected with the signal input end of the stalk and the testing device A.
The physical space data acquisition layer B is composed of a high-speed image acquisition unit 1, an optical image acquisition unit 2, a three-dimensional laser scanning unit 3, a wireless transmission unit 4, a bending information acquisition unit 5, a serial port transmission unit 6, a collision information acquisition unit 7 and a model construction unit 8, wherein: the signal output ends of the high-speed image acquisition unit 1, the optical image acquisition unit 2, the three-dimensional laser scanning unit 3 and the wireless transmission unit 4 are connected with the serial port transmission unit 6; the high-speed image acquisition unit 1, the optical image acquisition unit 2, the three-dimensional laser scanning unit 3, the bending information acquisition unit 5, the serial port transmission unit 6, the collision information acquisition unit 7 and the model construction unit 8 are in communication connection with the wireless transmission unit 4;
the system comprises a high-speed image acquisition unit 1, a first point cloud image acquisition unit 1, AN optical image acquisition unit 2, AN optical camera 13, AN optical camera II 14, a speed sensor 16, AN acceleration sensor 15, a speed sensor 15, a diaphragm RO sensor 16, a diaphragm RO sensor 19, a diaphragm PVDF sensor 19, a first point cloud image acquisition unit 19, a second point cloud image acquisition unit 19, a third point cloud image acquisition unit 19, a fourth point cloud image acquisition unit 19, a fifth point cloud image acquisition unit 19, a sixth point cloud image acquisition unit 19, a fifth point cloud image acquisition unit 19, a sixth point cloud image acquisition unit 8, a fifth point cloud image acquisition unit 19, a sixth point cloud image acquisition unit 19, a fifth point cloud image acquisition unit 19, a sixth point cloud image acquisition unit 8, a sixth point cloud image acquisition unit 19, a fifth point cloud image acquisition unit 19, a sixth point cloud image acquisition unit 8, a sixth point cloud image acquisition unit 19, a fifth point cloud image acquisition unit 8, a fifth point cloud image acquisition unit 19, a sixth point simulation unit 19, a fifth point cloud image acquisition unit 19, a sixth point simulation unit 19, a sixth point cloud image acquisition unit 19.
The upper computer E consists of a data processing system F, a data analysis unit 20, a script execution unit 21 and a database 22; the data processing system F is composed of a signal amplifier 23, an A/D converter 24, a modem 25 and a filter 26, the signal amplifier 23, the A/D converter 24, the modem 25 and the filter 26 are sequentially connected, and analog signals of a physical space data acquisition layer are converted into digital signals which can be identified and processed by a computer after being preprocessed by the data processing system F; the data analysis unit 20 is provided with image processing software, pressure data acquired by the bending information acquisition unit 5 and speed and acceleration data acquired by the collision information acquisition unit 7 are processed by the data processing system F and then transmitted to the data analysis unit 20 to form a speed-time curve, an acceleration-time curve and a pressure-speed curve; the database 22 is 2 1T storage hard disks, is externally connected with an upper computer E and stores test data from a virtual mapping space D and a physical space data acquisition layer B; the script execution unit 21 is in communication connection with the stem and the testing device a, and an operator compiles a script instruction code to realize control of the stem and the testing device a.
The simulation system C consists of a data acquisition card 27, a data processing unit 28, a data mapping dictionary 29 and an API service component 30; the data acquisition card 27 is provided with a wireless data receiving end and a wireless data transmitting end, and the wireless data receiving end is in communication connection with the information output end of the physical space data acquisition layer B; the data processing unit 28 is in communication connection with the wireless data transmitting end of the data acquisition card 27, and performs preprocessing according to data from the data acquisition card 27; the data input end of the data mapping dictionary 29 is in communication connection with the data processing unit 28, the data mapping dictionary 29 receives data from the data processing unit 28 and converts the data into a data type which can be recognized by the virtual mapping space D, and an interface used for transmission is an OPC-UA signal interface; the API service component 30 is communicatively connected to the data mapping dictionary 29 and the virtual mapping space D by using an API data transmission protocol, so as to form bidirectional information circulation between the simulation system C and the virtual mapping space D, and establish a test data uplink information channel and a control instruction downlink information channel.
The virtual mapping space D consists of a physical information fusion unit 31, a simulation data storage unit 32, a three-dimensional visualization engine 33 and a multi-view visualization display 34; the physical information fusion unit 31 is in communication connection with the physical space data acquisition layer B, and fuses the information which is acquired by the physical space data acquisition layer B and is not in the passing type to form dynamic data of the model; the three-dimensional visualization engine 33 is in communication connection with the data mapping dictionary 29 through the data fusion unit 31 and the API service component 30, renders a virtual stalk and test device A model under the drive of real-time data obtained by the data mapping dictionary 29, and drives the three-dimensional image synthesis unit; the multi-view visual display 34 is in communication connection with the three-dimensional visual engine 33, and dynamically displays a virtual three-dimensional model formed by the three-dimensional image unit, a stem pose change process and a test device moving process in multiple views; the simulation information storage unit 32 is in communication connection with the physical information fusion unit 31, and stores the data information fused by the physical information fusion unit 31.
The invention relates to a method for realizing a stalk bending dynamic process multi-parameter test platform based on digital twins, which comprises the following steps of A, building the stalk bending dynamic process multi-parameter test platform; and B, realizing virtual mapping in the test process by using a digital twinning technology, wherein:
step A, the construction of a multi-parameter testing platform in the dynamic process of stalk bending comprises the following steps:
A1. building a physical space data acquisition layer, and building a high-speed image acquisition unit 1, a bending information acquisition unit 5, an optical image acquisition unit 2 and a collision information acquisition unit 7;
A2. establishing a serial port data transmission channel, and uploading test data to an upper computer data acquisition system;
A3. the upper computer data acquisition system preprocesses data, and the preprocessing process comprises signal amplification, A/D conversion, modulation and demodulation and signal filtering;
A4. the data analysis unit analyzes and processes the data, and the analysis and processing process comprises the following steps: the stem bending data is processed in the form of a curve image, and a dynamic image of the whole stem bending process is formed in the form of a digital image, wherein:
A41. forming a pressure-time curve, a speed-time curve and an acceleration-time curve by using data acquired by the bending information acquisition unit 5 and the collision information acquisition unit 7 through data processing software;
A42. carrying out image processing on the stem bending image data acquired by the high-speed image acquisition unit 1 and the optical image acquisition unit 2 to form a dynamic image of the whole stem bending process;
A5. an operator checks a stem testing curve and a dynamic image of the whole stem bending process by using a human-computer interaction platform, and writes an instruction code stored in a script information base by using a human-computer interaction unit to realize the control of the stem and the testing device A;
A6. action instruction codes are stored in the script database, the script execution unit prevents the instruction codes of the script execution library from being executed, and control instructions are transmitted to the stem and testing device A, so that closed-loop control is realized;
and B, utilizing a digital twinning technology to realize virtual mapping in the test process, wherein the virtual mapping comprises the following steps:
B1. building a physical space data acquisition layer, continuously setting a plurality of signal sampling points on a measured stem and a testing device A on the basis of building a high-speed image acquisition unit 1, a bending information acquisition unit 5, an optical image acquisition unit 2 and a collision information acquisition unit 7, carrying out dynamic simulation on the stem pose, and building a virtual model of the stem and the testing device A by using a three-dimensional laser scanning unit 3 and a model building unit 8, wherein:
B11. three-dimensional static modeling: modeling the stems and the physical entity of the testing device A by utilizing Soildwroks, UG, ProE or Catia three-dimensional modeling software;
B12. three-dimensional dynamic modeling: utilizing a FARO three-dimensional laser scanner to scan the stems and the testing device A in real time, and utilizing FARO SCENE software to carry out three-dimensional reconstruction on scanned point cloud information to obtain dynamic models of the stems and the testing device A;
B2. building a test data channel and an instruction channel of a digital twin body and a physical twin body in a test platform by using a digital twin technology, building a test data downlink channel and an execution information uplink channel of the test platform, building a virtual model and physical interconnection mechanism, and completing the synchronization of the actions of the virtual model and the physical model, wherein the virtual model comprises a static virtual model and a dynamic virtual model;
B3. building a virtual mapping space: and constructing a virtual-real synchronous digital twin model by using a digital twin technology, so that the physical entity can realize the action synchronization with the corresponding digital twin in the simulation model, and the whole process of bending the stem is displayed in a virtual space.
By adopting the digital twin-based dynamic stem bending process multi-parameter test platform, multi-parameter test of the dynamic stem bending process can be realized, the test method is simple, and the test result is accurate; the upper computer performs data processing on data acquired by the front sensor to generate a multi-parameter test curve, so that a test result can be visually displayed; the digital twinning technology is applied to a multi-parameter test platform, a virtual-real synchronous digital twinning model can be constructed, and the whole process of bending the stem is displayed in a virtual space.
Drawings
FIG. 1 is a schematic structural diagram of a stalk bending dynamic process multi-parameter testing platform based on digital twinning
FIG. 2 is a schematic structural diagram of a physical space data acquisition layer B
FIG. 3 is a schematic structural diagram of the high-speed image capturing unit 1
FIG. 4 is a schematic structural diagram of the optical image capturing unit 2
FIG. 5 is a schematic structural diagram of the collision information collecting unit 7
FIG. 6 is a schematic structural diagram of the bending information collecting unit 5
FIG. 7 is a schematic structural diagram of an upper computer E
FIG. 8 is a schematic diagram of a data acquisition system
FIG. 9 is a schematic diagram of a simulation system C
FIG. 10 is a schematic structural diagram of a virtual mapping space D
FIG. 11 is a working flow chart of a digital twin stem bending dynamic process multi-parameter testing platform
FIG. 12 is a flow chart of the operation of constructing a multi-parameter testing platform for the dynamic process of stalk bending
FIG. 13 is a flow chart of the operation of implementing virtual mapping of a test process using digital twinning techniques
The system comprises a stem and testing device A, a physical space data acquisition layer C, a simulation system D, a virtual mapping space E, an upper computer F, a data processing system 1, a high-speed image acquisition unit 2, an optical image acquisition unit 3, a three-dimensional laser scanning unit 4, a wireless transmission unit 5, a bending information acquisition unit 6, a serial port transmission unit 7, a collision information acquisition unit 8, a model construction unit 9, a high-speed camera I10, a high-speed camera II 11, a high-speed camera III 12, an optical camera I13, an optical camera 14, an optical camera II 15, an acceleration sensor 16, a speed sensor 17, a first subarea piezoelectric film sheet 18, a second subarea piezoelectric film sheet 19, a third subarea piezoelectric film sheet 20, a data analysis unit 21, a script execution unit 22, a database 23, a signal amplifier 24, an A/D converter 25, a modem 26, a data filter 27, a data processing unit 28, a data mapping dictionary 30, an API service acquisition card 30, a data processing unit 29, and a Component 31, physical information fusion unit 32, simulation data storage unit 33, three-dimensional visualization engine 34, and multi-view visualization display
Detailed Description
The invention is described below with reference to the drawings.
As shown in fig. 1, the stalk bending dynamic process multi-parameter testing platform based on digital twinning of the invention comprises a stalk and testing device a, a physical space data acquisition layer B, a simulation system C, a virtual mapping space D and an upper computer E, wherein the signal output end of the stalk and testing device a is connected with the signal input end of the physical space acquisition layer B; virtual-real linkage bidirectional signal transmission channels are constructed among the physical space data acquisition layer B, the simulation system C and the virtual mapping space D, and bidirectional communication connection is realized; the signal output end of the physical space data acquisition layer B is connected with the signal input end of the upper computer E; and the signal output end of the upper computer E is connected with the signal input end of the stalk and the testing device A.
The system comprises a physical space data acquisition layer B, a first point-to-multipoint piezoelectric film thickness test platform A, a second point-to-multipoint piezoelectric film thickness test platform A, a third point-to-multipoint piezoelectric film thickness test platform A, a fourth point-to-multipoint piezoelectric film thickness test platform A, a fifth point-to-multipoint piezoelectric film thickness test platform A, a sixth point-to-multipoint piezoelectric film thickness test platform A, a fifth point-to-point-to-point test platform I, a fourth point-to-point.
As shown in fig. 7 and 8, the upper computer E is composed of a data processing system F, a data analysis unit 20, a script execution unit 21 and a database 22; the data processing system F is composed of a signal amplifier 23, an A/D converter 24, a modem 25 and a filter 26, the signal amplifier 23, the A/D converter 24, the modem 25 and the filter 26 are sequentially connected, and analog signals of a physical space data acquisition layer are converted into digital signals which can be identified and processed by a computer after being preprocessed by the data processing system F; the data analysis unit 20 is provided with image processing software, pressure data acquired by the bending information acquisition unit 5 and speed and acceleration data acquired by the collision information acquisition unit 7 are processed by the data processing system F and then transmitted to the data analysis unit 20 to form a speed-time curve, an acceleration-time curve and a pressure-speed curve; the database 22 is 2 1T storage hard disks, is externally connected with an upper computer E and stores test data from a virtual mapping space D and a physical space data acquisition layer B; the script execution unit 21 is in communication connection with the stem and the testing device a, and an operator compiles a script instruction code to realize control of the stem and the testing device a.
As shown in fig. 9, the simulation system C is composed of a data acquisition card 27, a data processing unit 28, a data mapping dictionary 29, and an API service component 30; the data acquisition card 27 is provided with a wireless data receiving end and a wireless data transmitting end, and the wireless data receiving end is in communication connection with the information output end of the physical space data acquisition layer B;
the data processing unit 28 is in communication connection with the wireless data transmitting end of the data acquisition card 27, and performs preprocessing according to data from the data acquisition card 27; the data input end of the data mapping dictionary 29 is in communication connection with the data processing unit 28, the data mapping dictionary 29 receives data from the data processing unit 28 and converts the data into a data type which can be recognized by the virtual mapping space D, and an interface used for transmission is an OPC-UA signal interface; the API service component 30 is communicatively connected to the data mapping dictionary 29 and the virtual mapping space D by using an API data transmission protocol, so as to form bidirectional information circulation between the simulation system C and the virtual mapping space D, and establish a test data uplink information channel and a control instruction downlink information channel.
As shown in fig. 10, the virtual mapping space D is composed of a physical information fusion unit 31, a simulation data storage unit 32, a three-dimensional visualization engine 33, and a multi-view visualization display 34; the physical information fusion unit 31 fuses the information which is obtained by the physical space data acquisition layer B and does not pass through the type to form dynamic data of the model; the three-dimensional visualization engine 33 is in communication connection with the data mapping dictionary 29 through the data fusion unit 31 and the API service component 30, renders a virtual stalk and test device A model under the drive of real-time data obtained by the data mapping dictionary 29, and drives the three-dimensional image synthesis unit; the multi-view visual display 34 is in communication connection with the three-dimensional visual engine 33, and dynamically displays a virtual three-dimensional model formed by the three-dimensional image unit, a stem pose change process and a test device moving process in multiple views; the simulation information storage unit 32 is in communication connection with the physical information fusion unit 31 to store the data information fused by the physical information fusion unit 31.
As shown in fig. 11, 12 and 1, the method for realizing the stalk bending dynamic process multi-parameter test platform based on the digital twin comprises the steps of A. building the stalk bending dynamic process multi-parameter test platform; and B, realizing virtual mapping in the test process by using a digital twinning technology, wherein:
step A, the construction of a multi-parameter testing platform in the dynamic process of stalk bending comprises the following steps:
A1. building a physical space data acquisition layer, and building a high-speed image acquisition unit 1, a bending information acquisition unit 5, an optical image acquisition unit 2 and a collision information acquisition unit 7;
A2. establishing a serial port data transmission channel, and uploading test data to an upper computer data acquisition system;
A3. the upper computer data acquisition system preprocesses data, and the preprocessing process comprises signal amplification, A/D conversion, modulation and demodulation and signal filtering;
A4. the data analysis unit analyzes and processes the data, and the analysis and processing process comprises the following steps: the stem bending data is processed in the form of a curve image, and a dynamic image of the whole stem bending process is formed in the form of a digital image, wherein:
A41. forming a pressure-time curve, a speed-time curve and an acceleration-time curve by using data acquired by the bending information acquisition unit 5 and the collision information acquisition unit 7 through data processing software;
A42. carrying out image processing on the stem bending image data acquired by the high-speed image acquisition unit 1 and the optical image acquisition unit 2 to form a dynamic image of the whole stem bending process;
A5. an operator checks a stem testing curve and a dynamic image of the whole stem bending process by using a human-computer interaction platform, and writes an instruction code stored in a script information base by using a human-computer interaction unit to realize the control of the stem and the testing device A;
A6. action instruction codes are stored in the script database, the script execution unit prevents the instruction codes of the script execution library from being executed, and control instructions are transmitted to the stem and testing device A, so that closed-loop control is realized;
and B, utilizing a digital twinning technology to realize virtual mapping in the test process, wherein the virtual mapping comprises the following steps:
B1. building a physical space data acquisition layer, continuously setting a plurality of signal sampling points on a measured stem and a testing device A on the basis of building a high-speed image acquisition unit 1, a bending information acquisition unit 5, an optical image acquisition unit 2 and a collision information acquisition unit 7, carrying out dynamic simulation on the stem pose, and building a virtual model of the stem and the testing device A by using a three-dimensional laser scanning unit 3 and a model building unit 8, wherein:
B11. three-dimensional static modeling: modeling the stems and the physical entity of the testing device A by utilizing Soildwroks, UG, ProE or Catia three-dimensional modeling software;
B12. three-dimensional dynamic modeling: utilizing a FARO three-dimensional laser scanner to scan the stems and the testing device A in real time, and utilizing FARO SCENE software to carry out three-dimensional reconstruction on scanned point cloud information to obtain dynamic models of the stems and the testing device A;
B2. building a test data channel and an instruction channel of a digital twin body and a physical twin body in a test platform by using a digital twin technology, building a test data downlink channel and an execution information uplink channel of the test platform, building a virtual model and physical interconnection mechanism, and completing the synchronization of the actions of the virtual model and the physical model, wherein the virtual model comprises a static virtual model and a dynamic virtual model;
B3. building a virtual mapping space: and constructing a virtual-real synchronous digital twin model by using a digital twin technology, so that the physical entity can realize the action synchronization with the corresponding digital twin in the simulation model, and the whole process of bending the stem is displayed in a virtual space.

Claims (6)

1. A stalk bending dynamic process multi-parameter test platform based on digital twinning is characterized by comprising a stalk and test device (A), a physical space data acquisition layer (B), a simulation system (C), a virtual mapping space (D) and an upper computer (E), wherein the signal output end of the stalk and test device (A) is connected with the signal input end of the physical space acquisition layer (B); virtual-real linkage bidirectional signal transmission channels are constructed among the physical space data acquisition layer (B), the simulation system (C) and the virtual mapping space (D), and bidirectional communication connection is realized; the signal output end of the physical space data acquisition layer (B) is connected with the signal input end of the upper computer (E); the signal output end of the upper computer (E) is connected with the signal input end of the stalk and the testing device (A).
2. The system comprises a digital twin stem bending dynamic process multi-parameter test platform according to claim 1, a physical space data acquisition layer (B) consisting of a high-speed image acquisition unit (1), AN optical image acquisition unit (2), a three-dimensional laser scanning unit (3), a wireless transmission unit (4), a bending information acquisition unit (5), a serial transmission unit (6), a collision information acquisition unit (7) and a model construction unit (8), wherein signal output ends of the high-speed image acquisition unit (1), the optical image acquisition unit (2), the three-dimensional laser scanning unit (3) and the wireless transmission unit (4) are connected with the serial transmission unit (6), the high-speed image acquisition unit (1), the optical image acquisition unit (2), the three-dimensional laser scanning unit (3), the bending information acquisition unit (5), the collision information acquisition unit (7) and the model construction unit (8) are in communication connection with the wireless transmission unit (4), the high-speed image acquisition unit (1) is composed of a high-speed camera (9), a high-speed laser scanning unit (10) and a high-speed imaging unit (13), the optical film acquisition unit (3), the optical film acquisition unit (7) is composed of a high-speed image acquisition unit (3), the optical film acquisition unit (7) is composed of a high-speed film acquisition unit (7), the high-speed image acquisition unit (7), the optical film-speed film acquisition unit (7) and the optical film acquisition unit (7) and the high-speed film-imaging unit (17) and the high-speed film-imaging unit (17) and the high-imaging unit (7) and the high-speed imaging unit (13), the high-speed imaging unit (17) are connected with the high-speed imaging unit (7) and the high-speed imaging unit (17) and the high-speed imaging unit (7) and the high-speed imaging unit (17) and the high-speed imaging unit (17) are connected with the high-imaging unit (7) and the high-speed imaging unit (17) and the high-speed imaging unit (7) are connected with the high-speed imaging unit (7) and the high-imaging unit (17) and testing device, the high-imaging unit (7) and the high-speed imaging unit (7) and the high-imaging unit (7) and testing device, the high-imaging unit (7) of the high-imaging unit (7) are connected with the high-imaging unit (7) and the high-speed imaging unit (7) of the high-imaging unit, the high-imaging unit (7) of the high-speed imaging unit (7) of the high-imaging unit, the high-speed imaging unit (7) of the high-imaging unit, the high-imaging unit.
3. The stalk bending dynamic process multi-parameter test platform based on the digital twin as the claim 1, characterized in that the upper computer (E) is composed of a data processing system (F), a data analysis unit (20), a script execution unit (21) and a database (22); the data processing system (F) is composed of a signal amplifier (23), an A/D converter (24), a modem (25) and a filter (26), wherein the signal amplifier (23), the A/D converter (24), the modem (25) and the filter (26) are connected in sequence; the data analysis unit (20) is provided with an image processing software; the database (22) is 2 1T storage hard disks and is externally connected with an upper computer (E); the script execution unit (21) is in communication connection with the stems and the testing device (A), and an operator compiles a script instruction code to realize control over the stems and the testing device (A).
4. The stalk bending dynamic process multi-parameter test platform based on the digital twin as the claim 1, characterized in that, the simulation system (C) is composed of a data acquisition card (27), a data processing unit (28), a data mapping dictionary (29) and an API service component (30); the data acquisition card (27) is provided with a wireless data receiving end and a wireless data transmitting end, and the wireless data receiving end is in communication connection with the information output end of the physical space data acquisition layer (B); the data processing unit (28) is in communication connection with a wireless data transmitting end of the data acquisition card (27); the data input end of the data mapping dictionary (29) is connected with the data processing unit (28) in a communication way; the API service component (30) is communicatively coupled to the data mapping dictionary (29) and the virtual mapping space (D) using an API data transfer protocol.
5. The digital twin-based stalk bending dynamic process multi-parameter test platform as claimed in claim 1, wherein the virtual mapping space (D) is composed of a physical information fusion unit (31), a simulation data storage unit (32), a three-dimensional visualization engine (33) and a multi-view visualization display (34); the physical information fusion unit (31) is in communication connection with the physical space data acquisition layer (B); the three-dimensional visualization engine (33) is in communication connection with the data mapping dictionary (29) through the data fusion unit (31) and the API service component (30); the multi-perspective visualization presentation (34) is communicatively coupled with a three-dimensional visualization engine (33); the simulation information storage unit (32) is in communication connection with the physical information fusion unit (31).
6. The method for realizing the stalk bending dynamic process multi-parameter test platform based on the digital twin as claimed in claim 1, which is characterized by comprising the steps of A. building the stalk bending dynamic process multi-parameter test platform; and B, realizing virtual mapping in the test process by using a digital twinning technology, wherein:
step A, the construction of a multi-parameter testing platform in the dynamic process of stalk bending comprises the following steps:
A1. a physical space data acquisition layer is built, and a high-speed image acquisition unit (1), a bending information acquisition unit (5), an optical image acquisition unit (2) and a collision information acquisition unit (7) are built;
A2. establishing a serial port data transmission channel, and uploading test data to an upper computer data acquisition system;
A3. the upper computer data acquisition system preprocesses data, and the preprocessing process comprises signal amplification, A/D conversion, modulation and demodulation and signal filtering;
A4. the data analysis unit analyzes and processes the data, and the analysis and processing process comprises the following steps: the stem bending data is processed in the form of a curve image, and a dynamic image of the whole stem bending process is formed in the form of a digital image, wherein:
A41. forming a pressure-time curve, a speed-time curve and an acceleration-time curve by using data acquired by the bending information acquisition unit (5) and the collision information acquisition unit (7) through data processing software;
A42. carrying out image processing on the stem bending image data acquired by the high-speed image acquisition unit (1) and the optical image acquisition unit (2) to form a dynamic image of the whole stem bending process;
A5. an operator checks a stem testing curve and a dynamic image of the whole stem bending process by using a human-computer interaction platform, and writes an instruction code stored in a script information base by using a human-computer interaction unit to realize the control of the stem and the testing device (A);
A6. action instruction codes are stored in the script database, the script execution unit prevents the instruction codes of the script execution library from being executed, and control instructions are transmitted to the stem and testing device (A), so that closed-loop control is realized;
and B, utilizing a digital twinning technology to realize virtual mapping in the test process, wherein the virtual mapping comprises the following steps:
B1. build physical space data acquisition layer, on the basis of establishing high-speed image acquisition unit (1), buckle information acquisition unit (5), optics image acquisition unit (2) and collision information acquisition unit (7), continue to set up a plurality of signal sampling points on surveyed stem stalk and testing arrangement (A), carry out dynamic simulation to the stem stalk position appearance, utilize three-dimensional laser scanning unit (3) and model to establish the virtual model of stem stalk and testing arrangement (A) in unit (8), wherein:
B11. three-dimensional static modeling: modeling the stems and the physical entity of the testing device (A) by utilizing Soildwroks, UG, ProE or Catia three-dimensional modeling software;
B12. three-dimensional dynamic modeling: utilizing a FARO three-dimensional laser scanner to scan the stems and the testing device (A) in real time, and utilizing FARO SCENE software to carry out three-dimensional reconstruction on scanned point cloud information to obtain a dynamic model of the stems and the testing device (A);
B2. building a test data channel and an instruction channel of a digital twin body and a physical twin body in a test platform by using a digital twin technology, building a test data downlink channel and an execution information uplink channel of the test platform, building a virtual model and physical interconnection mechanism, and completing the synchronization of the actions of the virtual model and the physical model, wherein the virtual model comprises a static virtual model and a dynamic virtual model;
B3. building a virtual mapping space: and constructing a virtual-real synchronous digital twin model by using a digital twin technology, so that the physical entity can realize the action synchronization with the corresponding digital twin in the simulation model, and the whole process of bending the stem is displayed in a virtual space.
CN202010374798.1A 2020-05-06 2020-05-06 Digital twinning-based multi-parameter testing platform for stem bending dynamic process Active CN111442998B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010374798.1A CN111442998B (en) 2020-05-06 2020-05-06 Digital twinning-based multi-parameter testing platform for stem bending dynamic process

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010374798.1A CN111442998B (en) 2020-05-06 2020-05-06 Digital twinning-based multi-parameter testing platform for stem bending dynamic process

Publications (2)

Publication Number Publication Date
CN111442998A true CN111442998A (en) 2020-07-24
CN111442998B CN111442998B (en) 2024-06-04

Family

ID=71652014

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010374798.1A Active CN111442998B (en) 2020-05-06 2020-05-06 Digital twinning-based multi-parameter testing platform for stem bending dynamic process

Country Status (1)

Country Link
CN (1) CN111442998B (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114762915A (en) * 2022-06-16 2022-07-19 吉林大学 Intelligent manufacturing system based on digital twinning
CN116198743A (en) * 2023-04-23 2023-06-02 吉林大学 Comprehensive detection platform and detection method for emasculation unmanned aerial vehicle for seed production corn
CN116577190A (en) * 2023-07-13 2023-08-11 南京华建检测技术有限公司 Intelligent detection method for T-shaped experimental test block
CN117178755A (en) * 2023-09-22 2023-12-08 吉林大学 Stalk cutting test bed based on PLC control system and control system thereof

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102706269A (en) * 2012-05-30 2012-10-03 江苏大学 Detection device for micro-variation of diameters of plant cane and detecting method
CN104198297A (en) * 2014-08-11 2014-12-10 北京农业信息技术研究中心 Kinematic analytic system for lodging of crops and method utilizing kinematic analytic system
CN107807540A (en) * 2017-10-16 2018-03-16 吉林农业大学 A kind of agriculture intelligent platform based on image procossing
CN108734785A (en) * 2017-04-21 2018-11-02 中国农业科学院农业信息研究所 Three-dimensional visualization method and device, the computer-readable medium of wheat growth
CN109819233A (en) * 2019-01-21 2019-05-28 哈工大机器人(合肥)国际创新研究院 A kind of digital twinned system based on virtual image technology
CN109872509A (en) * 2019-04-02 2019-06-11 西安邮电大学 Massif Geological Hazards Monitoring and early warning system and method based on the twin driving of number
CN109991918A (en) * 2019-04-10 2019-07-09 广东工业大学 Parallel control method based on the sampling of multicycle difference with the twin technology of number
CN110095070A (en) * 2019-05-13 2019-08-06 中国水利水电科学研究院 Monitoring of crop growth devices and methods therefor based on Internet of Things
CN110262476A (en) * 2019-05-21 2019-09-20 北京农业信息技术研究中心 Cloud platform is broadcast live in one plant growth
CN111046597A (en) * 2020-01-20 2020-04-21 兰州理工大学 Digital twin three-dimensional model based 3D printer modeling method and model system
CN213022672U (en) * 2020-05-06 2021-04-20 吉林大学 Stalk dynamic process multi-parameter test platform of buckling based on digit twin

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102706269A (en) * 2012-05-30 2012-10-03 江苏大学 Detection device for micro-variation of diameters of plant cane and detecting method
CN104198297A (en) * 2014-08-11 2014-12-10 北京农业信息技术研究中心 Kinematic analytic system for lodging of crops and method utilizing kinematic analytic system
CN108734785A (en) * 2017-04-21 2018-11-02 中国农业科学院农业信息研究所 Three-dimensional visualization method and device, the computer-readable medium of wheat growth
CN107807540A (en) * 2017-10-16 2018-03-16 吉林农业大学 A kind of agriculture intelligent platform based on image procossing
CN109819233A (en) * 2019-01-21 2019-05-28 哈工大机器人(合肥)国际创新研究院 A kind of digital twinned system based on virtual image technology
CN109872509A (en) * 2019-04-02 2019-06-11 西安邮电大学 Massif Geological Hazards Monitoring and early warning system and method based on the twin driving of number
CN109991918A (en) * 2019-04-10 2019-07-09 广东工业大学 Parallel control method based on the sampling of multicycle difference with the twin technology of number
CN110095070A (en) * 2019-05-13 2019-08-06 中国水利水电科学研究院 Monitoring of crop growth devices and methods therefor based on Internet of Things
CN110262476A (en) * 2019-05-21 2019-09-20 北京农业信息技术研究中心 Cloud platform is broadcast live in one plant growth
CN111046597A (en) * 2020-01-20 2020-04-21 兰州理工大学 Digital twin three-dimensional model based 3D printer modeling method and model system
CN213022672U (en) * 2020-05-06 2021-04-20 吉林大学 Stalk dynamic process multi-parameter test platform of buckling based on digit twin

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
吴峰峰: "虚拟作物模型的研究现状及展望", 北方园艺, no. 2020, 15 January 2020 (2020-01-15), pages 162 - 169 *

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114762915A (en) * 2022-06-16 2022-07-19 吉林大学 Intelligent manufacturing system based on digital twinning
CN114762915B (en) * 2022-06-16 2022-08-16 吉林大学 Intelligent manufacturing system based on digital twinning
CN116198743A (en) * 2023-04-23 2023-06-02 吉林大学 Comprehensive detection platform and detection method for emasculation unmanned aerial vehicle for seed production corn
CN116577190A (en) * 2023-07-13 2023-08-11 南京华建检测技术有限公司 Intelligent detection method for T-shaped experimental test block
CN116577190B (en) * 2023-07-13 2023-11-28 南京华建检测技术有限公司 Intelligent detection method for T-shaped experimental test block
CN117178755A (en) * 2023-09-22 2023-12-08 吉林大学 Stalk cutting test bed based on PLC control system and control system thereof

Also Published As

Publication number Publication date
CN111442998B (en) 2024-06-04

Similar Documents

Publication Publication Date Title
CN111442998A (en) Stalk dynamic process multi-parameter test platform of buckling based on digit twin
CN109887020B (en) Plant organ separation method and system
Rose et al. Accuracy analysis of a multi-view stereo approach for phenotyping of tomato plants at the organ level
CN100450445C (en) Real-time, freedom-arm, three-D ultrasonic imaging system and method therewith
CN105547152A (en) Crop phenotype field high-flux active measuring apparatus and method
CN110458944B (en) Human body skeleton reconstruction method based on double-visual-angle Kinect joint point fusion
CN213022672U (en) Stalk dynamic process multi-parameter test platform of buckling based on digit twin
CN111833450B (en) Ultrasonic three-dimensional rapid reconstruction and analysis method fused with finite element analysis method
CN106020489A (en) Industrial-design simulation system
CN102835948B (en) A kind of swept light source OCT Real-time image display method and system thereof
KR102095539B1 (en) Method for measuring growth amount by image analyzing ginseng
CN101738380A (en) single-pixel terahertz camera
CN115661862A (en) Pressure vision convolution model-based sitting posture sample set automatic labeling method
CN116733688A (en) Operation monitoring method, device, equipment and medium of wind generating set
CN111399634A (en) Gesture-guided object recognition method and device
CN114526728A (en) Monocular vision inertial navigation positioning method based on self-supervision deep learning
CN109978832B (en) Twisted pair lay detection method based on edge reconstruction
JP3862402B2 (en) 3D model generation apparatus and computer-readable recording medium on which 3D model generation program is recorded
CN112116595A (en) End-to-end automatic plant root system characteristic segmentation system
CN116964599A (en) Three-dimensional human body motion capturing method, training method and system based on laser radar
CN115760720A (en) Crack online detection method and system based on mobile device and super-resolution reconstruction segmentation network
JP2002163635A (en) System and method for supporting diagnosis of pervasive hepatic disease by utilizing hierarchical neural network on basis of feature amount provided from ultrasonic image of diagnostic part
CN110996065A (en) Remote biological investigation commanding method based on Internet of things
CN104729404A (en) High-speed 3D industry digital microscope
CN111160529B (en) Training sample generation method in target pose measurement based on convolutional neural network

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant