CN113655054A - Design method of intelligent nut foreign matter monitoring system based on NX deformation design - Google Patents
Design method of intelligent nut foreign matter monitoring system based on NX deformation design Download PDFInfo
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Abstract
The application discloses nut foreign matter intelligent monitoring system's design method based on NX warp design includes: establishing a parameterized nut pipeline model based on an NX platform, wherein the parameterized nut pipeline model is provided with a parameterized conveyor belt model; establishing a data acquisition module model on the parameterized conveyor belt model; establishing a kilomega switch model after the data acquisition module model; establishing a detection host model, wherein the detection host model is connected with the kilomega switch through a network cable model; establishing a data processing module model behind the data transmission module; establishing a data interaction module behind the data processing module; editing a user interaction dialog box based on the Visual Studio MFC control, editing an MFC component action program, generating a dynamic link library, running the dynamic link library in NXOPEN, inputting expression parameters in a text edit box of the interaction dialog box, and generating the intelligent nut foreign matter monitoring system.
Description
Technical Field
The application relates to a design method of an intelligent nut foreign matter monitoring system based on NX deformation design, and belongs to the field of software function development and intelligent foreign matter detection.
Background
Currently, many enterprises employ traditional design methods to accomplish the morphing and local design of existing products, which lack variability and versatility. With the advent of the parametric design method based on the NX, such as a design variable driving method, a program design driving method and a program control expression driving method, the design and development period of a product is shortened to a great extent, and the design cost of an enterprise is saved. Meanwhile, the product designed by the parametric design method can adapt to different customer requirements and meet the personalized customization of different customers.
Nut production lines are widely distributed in most nut processing factories, and due to the fact that production environments are in direct contact with the outside, the probability that sundries are blended into the production lines is very high. Most of the existing factories lack foreign matter detection systems, and the processed nuts cannot be guaranteed not to be doped with any foreign matters.
Disclosure of Invention
The embodiment of the application aims to provide a design method of an NX deformation design-based intelligent nut foreign matter monitoring system, so as to solve the problem that nut processing equipment in the related art lacks a system deformation design and the problem of intelligentization of Internet of things perception of foreign matter pollution rapid detection foreign matter information.
The embodiment of the application provides a design method of an intelligent nut foreign matter monitoring system based on NX deformation design, and the design method comprises the following steps:
establishing a parameterized nut pipeline model based on an NX platform, wherein the parameterized nut pipeline model is provided with a parameterized conveyor belt model;
secondly, establishing a data acquisition module model on the parameterized conveyor belt model, wherein the data acquisition module model comprises an image detection camera and an NB-lot environmental data collector model, establishing an expression for the position parameter of the image detection camera, and establishing an expression for the height of an NB-lot environmental data collector support;
establishing a kilomega switch model after the data acquisition module model, wherein the kilomega switch model is connected with the image detection camera by using a network cable connection model, and the network cable length of the network cable connection model is set as an expression parameter;
establishing a detection host model, wherein the detection host model is connected with the gigabit switch through a network cable model and is used for receiving images acquired by an image detection camera, identifying foreign matters in the images through deep learning, and establishing a length expression of the network cable model;
establishing a data processing module model after the data transmission module, wherein the data processing module model comprises a PC scanning computer and a cloud database model; establishing a network model to connect the PC scanning computer and the gigabit switch model;
step six, a data interaction module is established behind the data processing module, the data interaction module comprises a display terminal and an alarm device, a PC scanning computer transmits the detected and identified image to the display terminal through wifi data transmission, the image identification result has foreign matters, and the display terminal controls a circuit switch to trigger the alarm device;
and seventhly, editing a user interaction dialog box based on the Visual Studio MFC control, editing an MFC component action program, generating a dynamic link library, operating the dynamic link library in NXOPEN, inputting expression parameters in a text edit box of the interaction dialog box, and generating the intelligent nut foreign matter monitoring system.
Optionally, in the first step, the parameterized nut pipeline model is a parameterized conveyor belt model established by knowledge fusion programming.
Optionally, in the first step, the relative belt position parameters include a camera height and a camera support relative belt width.
Optionally, in the second step, the NB-lot environmental data collector includes a temperature and humidity sensor, an illuminance sensor, and a CO2A concentration sensor.
Optionally, in the second step, the expression of the image detection camera position parameter includes detecting a camera mount height and detecting a camera mount width.
Optionally, in the sixth step, the display terminal is in a web page display mode, and includes an environment information detection module, a real-time foreign object detection information module, and a foreign object number distribution detection module.
Optionally, in step seven, the editing MFC component action program includes: editing an MFC control interface, adding a button action, adding a function for acquiring a text box value, and adding an expression modification function.
Optionally, in the seventh step, the expression parameters include a height of the image detection camera support, a width of the image detection camera support, a height of the NB-lot environmental data collector support, and lengths of the network cable models of the respective sections.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
according to the embodiment, the whole system model is established in the form of the expression and the design basis of the expression parameters is controlled through the MFC, the parameterized nut foreign matter intelligent monitoring system database is realized, the intelligent foreign matter monitoring can be carried out on different types of nut assembly lines according to different enterprise equipment requirements, the enterprise development and design period is shortened, and the development and design cost is reduced.
Because foreign matter detects host computer and cloud database, can realize data interaction and analysis processes between the thing networking software platform, saved the hardware cost of foreign matter detection host computer greatly for the design of nut foreign matter detection host computer is simpler. In addition, the final detection result can be directly sent to the associated Internet of things software platform through the existing communication application software, and the cost of system development is saved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
Fig. 1 is a flowchart of a design method of an intelligent nut foreign matter monitoring system based on NX deformation design according to an embodiment of the present invention.
FIG. 2 is a schematic view of a parameterized nut pipeline model according to an embodiment of the invention.
Fig. 3 is a parameterized design interface of the intelligent nut foreign object monitoring system according to the embodiment of the invention.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
Referring to fig. 1, an embodiment of the present invention provides a method for designing an intelligent nut foreign object monitoring system based on NX deformation, where the method includes the following steps:
establishing a parameterized nut pipeline model based on an NX platform, wherein the parameterized nut pipeline model is provided with a parameterized conveyor belt model;
specifically, as shown in fig. 2, a stock bin model is established, a conveyor belt model is established to be connected with a filter water tank, a peeling machine model is established through the conveyor belt model, and then is connected with a shell breaking machine model through the conveyor belt model, the shell breaking machine model is connected with a tasty soaking pool model, and then is connected with a drying machine model through the conveyor belt model, and finally is connected with a packaging machine model, and a whole production line model is established to simulate an actual workshop production line, so that the establishment of an intelligent nut foreign matter detection system model is facilitated.
Secondly, establishing a data acquisition module model on a conveyor belt model behind a dryer model in the assembly line model, wherein the data acquisition module model comprises an image detection camera and an NB-lot environmental data acquisition device model, establishing an expression for the position parameters of the image detection camera, and establishing an expression for the height of an NB-lot environmental data acquisition device support;
as shown in fig. 3, the expression of the image capturing camera position parameter includes capturing camera support height and capturing camera support width. The image detection camera is arranged right above the conveyor belt to collect real-time working images of the nut production line, and the environment data collector is arranged on one side of the conveyor belt to collect temperature, humidity, illumination and CO2Concentration, etc. An expression is established for the camera relative to the conveyor belt position parameter.
Specifically, the established image detection camera is fixed in contact with the ground through a rectangular support, the vertical height of the camera fixing crosspiece and the ground is set to be an expression L, namely the height of the camera support is detected, the length of the camera fixing crosspiece is set to be an expression W, namely the width of the camera support is detected, and therefore the fact that the deformation design is adaptive to the working environment aiming at the conveying belts with different size parameters is guaranteed. The environmental data collector model is characterized in that the two side columnar sensors are connected with the triangular support frame through threaded holes, the triangular support frame is connected with the ground, and the highest point of the support and the vertical height of a storefront are set to be an expression H so as to adapt to assembly lines with different heights in different working environments.
And step three, establishing a workbench model beside the environmental data collector, establishing a gigabit switch model, connecting the gigabit switch with the image detection camera by using a network cable connection model, and setting the network cable length of the network cable connection model as an expression parameter.
Specifically, the rectangular model is cut off from the net opening shape by using stretching difference Boolean operation to simulate a gigabit switch model, and is assembled on a workbench beside the environmental data acquisition unit. Drawing a broken line by a sketch, setting the length of each section of the broken line as an expression S, and establishing a network cable model by sweeping with a circular cross section so as to ensure that the position relation change among devices can be realized by modifying the length of the network cable.
And step four, establishing a detection host model and assembling the detection host model on the side surface of the workbench. The detection host model is connected with the gigabit switch through a network cable model and used for receiving images collected by the image detection camera, identifying foreign matters in the images through deep learning, and establishing the length expression of the network cable model.
Establishing a data processing module model on the workbench, wherein the data processing module model comprises a PC scanning computer and a cloud database model; and establishing the network cable model to connect the PC scanning computer and the gigabit switch model.
Specifically, a computer model was created to simulate a PC scanning computer and assembled in contact with a table. And (3) building cubic drawing shells with the length, width and height of 1000mm, 1000mm and 3000mm respectively, simulating a cloud database model, and assembling the models in alignment with the bottom surface of the workbench.
And step six, establishing a data interaction module behind the data processing module, wherein the data interaction module comprises a display terminal and an alarm device, the PC scanning computer transmits the detected and identified image to the display terminal through wifi data transmission, and the display terminal controls a circuit switch to trigger the alarm device when a foreign object exists in the image identification result.
Specifically, a display screen model simulation display terminal is established to be in assembly contact with a workbench. Establish the tensile body of cylinder and add radius angle model simulation alarm sound device, with the assembly of surface contact on the detection host computer to reduce total nut foreign matter intelligent detection system's area.
And seventhly, editing a user interaction dialog box based on the Visual Studio MFC control, editing an MFC component action program, generating a dynamic link library, operating the dynamic link library in NXOPEN, inputting expression parameters in a text edit box of the interaction dialog box, and generating the intelligent nut foreign matter monitoring system.
Specifically, the intelligent foreign object detection system Dialog comprises a static text, an example edit box, a group list and a picture controller, and the modification of the attributes of the static text is as follows: the system comprises a camera support height L, a camera support width W, an environment data collector support height H and a network cable length S, and an example editor is added behind each static text. And modifying the type of the picture controller into a Bitmap, and importing a model schematic diagram to visually reflect each model parameter of the detection system. Corresponding expression modification programs are added to the four example editing frames, so that parameters are input in an example editor to change the size of the intelligent nut foreign matter detection system model, and the intelligent nut foreign matter detection system model is suitable for different nut pipelines.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (8)
1. A design method of an intelligent nut foreign matter monitoring system based on NX deformation design is characterized by comprising the following steps:
establishing a parameterized nut pipeline model based on an NX platform, wherein the parameterized nut pipeline model is provided with a parameterized conveyor belt model;
secondly, establishing a data acquisition module model on the parameterized conveyor belt model, wherein the data acquisition module model comprises an image detection camera and an NB-lot environmental data collector model, establishing an expression for the position parameter of the image detection camera, and establishing an expression for the height of an NB-lot environmental data collector support;
establishing a kilomega switch model after the data acquisition module model, wherein the kilomega switch model is connected with the image detection camera by using a network cable connection model, and the network cable length of the network cable connection model is set as an expression parameter;
establishing a detection host model, wherein the detection host model is connected with the gigabit switch through a network cable model and is used for receiving images acquired by an image detection camera, identifying foreign matters in the images through deep learning, and establishing a length expression of the network cable model;
establishing a data processing module model after the data transmission module, wherein the data processing module model comprises a PC scanning computer and a cloud database model; establishing a network model to connect the PC scanning computer and the gigabit switch model;
step six, a data interaction module is established behind the data processing module, the data interaction module comprises a display terminal and an alarm device, a PC scanning computer transmits the detected and identified image to the display terminal through wifi data transmission, the image identification result has foreign matters, and the display terminal controls a circuit switch to trigger the alarm device;
and seventhly, editing a user interaction dialog box based on the Visual Studio MFC control, editing an MFC component action program, generating a dynamic link library, operating the dynamic link library in NXOPEN, inputting expression parameters in a text edit box of the interaction dialog box, and generating the intelligent nut foreign matter monitoring system.
2. The method of claim 1 wherein in step one, said parameterized nut pipeline model is a parameterized conveyor model created by knowledge fusion programming.
3. The method of claim 1, wherein in step one, the relative belt position parameters include camera height, camera mount relative belt width.
4. The method as claimed in claim 1, wherein in step two, the NB-lot environmental data collector comprises a temperature and humidity sensor, an illuminance sensor, and a CO2A concentration sensor.
5. The method of claim 1, wherein in step two, the expression of the image sensing camera position parameters includes sensing camera mount height and sensing camera mount width.
6. The method as claimed in claim 1, wherein in step six, the display terminal is in a web page display mode, and comprises an environment information detection module, a real-time foreign object detection information module and a foreign object number detection distribution module.
7. The method of claim 1, wherein in step seven, the editing MFC component action program comprises: editing an MFC control interface, adding a button action, adding a function for acquiring a text box value, and adding an expression modification function.
8. The method of claim 1, wherein in step seven, the expression parameters include an image capturing camera mount height, an image capturing camera mount width, an NB-lot environmental data collector mount height, and a length of each section of the network cable model.
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