Raw silk image detection device

Abstract

The utility model belongs to the technical field of raw silk detection equipment, and particularly relates to a raw silk image detection device which is characterized in that an upper computer detection module is connected with an image acquisition module; the revolution number detection module is connected with the upper computer detection module, and the revolution number detection module is used for detecting the revolution number of a raw silk blackboard in the raw silk detection device and transmitting a first signal containing the revolution number of the raw silk blackboard to the upper computer detection module; the raw silk blackboard state acquisition module is connected with the upper computer detection module and transmits a second signal containing the horizontal angle of the raw silk blackboard to the upper computer detection module; the image acquisition module receives a control signal of the upper computer detection module and returns image data, and the upper computer detection module outputs raw silk quality information based on the image data; and the upper computer detection module is connected with the client terminal and sends the quality information to the client terminal. The raw silk quality detection device is simple in structure and can realize automatic detection of raw silk quality.

Description

Technical Field

[0001] This utility model belongs to the technical field of raw silk testing equipment, and in particular relates to a raw silk image testing device. Background Technology

[0002] Traditional raw silk quality inspection methods are relatively outdated. Raw silk blackboard inspection (cleanliness, uniformity, and evenness inspection) relies on visual inspection and manual counting. A crucial step in raw silk quality inspection is image capture. After capturing the images, relevant personnel need to manually acquire and process them to obtain the raw silk quality data. This is clearly labor-intensive and resource-intensive, and also inefficient. Therefore, there is an urgent need for a raw silk image inspection device that can achieve fully intelligent inspection throughout the entire process. Summary of the Invention

[0003] In view of the technical problems existing in the background art, the present invention provides a raw silk image detection device, which has a simple structure, is easy to install, and can realize intelligent raw silk image detection throughout the entire process.

[0004] To achieve the above objectives, the technical solution provided by this utility model is as follows:

[0005] A raw silk image detection device includes: an image acquisition module, a host computer detection module, a rotation number detection module, a raw silk blackboard status acquisition module, and a client terminal;

[0006] The host computer detection module is connected to the image acquisition module;

[0007] The rotation count detection module is connected to the host computer detection module. The rotation count detection module is used to detect the rotation count of the raw silk blackboard in the raw silk detection device and transmit the first signal containing the rotation count of the raw silk blackboard to the host computer detection module.

[0008] The raw silk blackboard status acquisition module is connected to the host computer detection module. The raw silk blackboard status acquisition module acquires the horizontal angle of the raw silk blackboard and transmits a second signal containing the horizontal angle of the raw silk blackboard to the host computer detection module.

[0009] The image acquisition module receives the control signal from the host computer detection module and sends the image data back to the host computer detection module. The host computer detection module outputs raw silk quality information based on the image data.

[0010] The host computer detection module is connected to the client terminal, and the host computer detection module sends quality information to the client terminal.

[0011] Furthermore, the raw silk testing device includes: a four-corner support and a raw silk blackboard;

[0012] The left, right, front and bottom of the four corner brackets are all hollowed out. There is a baffle on the back of the four corner brackets. There is a crossbeam at the bottom of the four corner brackets. The bottom crossbeam is used to connect and fix the support column of the four corner brackets. There is a crossbeam at the top of the four corner brackets. The top crossbeam is also used to connect and fix the support column of the four corner brackets.

[0013] The top left and right crossbeams of the four-corner brackets are rotatably connected to both ends of the raw silk blackboard.

[0014] A horizontal support plate is fixed between the top and bottom crossbeams of the four-corner bracket, and the image acquisition module is mounted on the horizontal support plate.

[0015] Furthermore, the host computer detection module is connected to the image acquisition module, including:

[0016] The host computer detection module includes a host computer, which is equipped with at least one USB interface. One of the USB interfaces of the host computer is connected to a splitter. The image acquisition module is connected to the host computer based on the interface of the splitter.

[0017] Furthermore, the image acquisition module includes:

[0018] Camera and light source;

[0019] The camera is a CMOS sensor with a built-in CMOS 1 / 3.2″ sensor. Its dimensions are 38mm × 38mm × 7.0mm. It has 5 megapixels, a pixel size of 1.4µm × 1.4µm, an aperture of f / 2.2, a focal length of 3.05mm, a field of view of 90°, and a 650nm filter. The camera uses a 10nm process, has a maximum resolution of 3264*2448, a frame rate of 15fps, and a USB power supply voltage of 5V. 5%, the camera's interface speed is 480mb / s;

[0020] The light source is a long strip light source, with a light-emitting area of ​​500mm×34mm and dimensions of 510mm×40mm×20mm. It has 6 rows of LED beads, a power supply voltage of 24V, a power of 24W, and a color temperature of 6500K.

[0021] Furthermore, including:

[0022] The raw silk blackboard status acquisition module is an inertial measurement unit, which includes an accelerometer, a gyroscope, and a magnetometer;

[0023] An inertial measurement unit is fixedly installed on the center line of the raw silk blackboard. The inertial measurement unit is used to measure the horizontal angle of the raw silk blackboard and transmits a second signal containing the horizontal angle of the raw silk blackboard to the host computer detection module.

[0024] Furthermore, including:

[0025] The raw silk blackboard status acquisition module is located inside the baffle of the four corner brackets;

[0026] The raw silk blackboard status acquisition module is connected to the image acquisition module. The raw silk blackboard status acquisition module acquires the image of the raw silk blackboard by controlling the image acquisition module, and obtains the horizontal angle of the raw silk blackboard based on the image.

[0027] Furthermore, the revolutions detection module includes:

[0028] The rotational speed detection module includes an eddy current sensor;

[0029] The eddy current sensor is fixedly installed on the center line of the raw silk blackboard. The eddy current sensor is used to detect the rotation speed of the raw silk blackboard in the raw silk detection device.

[0030] Furthermore, including:

[0031] The horizontal support plate has several square holes, and a threaded hole is located in the center of each square hole. The image acquisition module is fixed to the horizontal support plate through the threaded hole.

[0032] This utility model has the following advantages and beneficial effects:

[0033] This invention employs a host computer detection module, a rotation detection module, and a raw silk blackboard status acquisition module, enabling intelligent raw silk image detection throughout the entire process. Attached Figure Description

[0034] Figure 1 A schematic diagram of the structure of a raw silk image detection device provided by this utility model;

[0035] Figure 2 A schematic diagram of the raw silk testing device provided by this utility model.

[0036] Figure 3 A schematic diagram of the raw silk blackboard provided by this utility model;

[0037] Figure 4 A schematic diagram of the horizontal support plate provided by this utility model.

[0038] Icons: 1-Image acquisition module, 2-Host computer detection module, 3-Revolution detection module, 4-Raw silk blackboard status acquisition module, 5-Client terminal, 6-Four-corner bracket, 7-Baffle, 8-Crossbeam, 9-Support column, 10-Raw silk blackboard, 11-Horizontal support plate, 12-Square hole. Detailed Implementation

[0039] To make the objectives, technical solutions, and advantages of the embodiments of this utility model clearer, the technical solutions of the embodiments of this utility model will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are some embodiments of this utility model, but not all embodiments.

[0040] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0041] like Figure 1 As shown, a raw silk image detection device includes: an image acquisition module 1, a host computer detection module 2, a rotational speed detection module 3, a raw silk blackboard status acquisition module 4, and a client terminal 5; the host computer detection module 2 is connected to the image acquisition module 1.

[0042] The host computer detection module 2 includes a host computer, which is equipped with at least one USB interface. One of the USB interfaces of the host computer is connected to the splitter. The image acquisition module is connected to the host computer based on the interface of the splitter.

[0043] Image acquisition module 1 receives control signals from the host computer and transmits image data back to the host computer, which then outputs raw silk quality information based on the image data. The host computer detection module 2 contains a built-in computer program (CN109461155A) corresponding to a raw silk quality detection method. Through this program, the host computer can output quality information about the raw silk based on the raw silk image.

[0044] The host computer detection module 2 is connected to the client terminal 5, and the host computer detection module 2 can send quality information to the client terminal 5.

[0045] There are several ways to connect the host computer and the client, and the specific method can be selected according to the actual situation.

[0046] Specifically, this includes Ethernet, which uses physical media such as twisted-pair cables (e.g., Cat5e, Cat6) and fiber optic cables for communication. It is suitable for stable, high-speed connections within local area networks, supporting data transmission speeds from 100 Mbps to 1 Gbps or even higher.

[0047] Serial communication interface: Point-to-point or bus-type communication protocol, suitable for short- and medium-to-long-distance industrial control. Applicable to industrial automation, building automation, and other fields.

[0048] USB (Universal Serial Bus): Plug and play, supports hot-swapping, and provides power and data transfer. Suitable for connecting devices at close range, such as printers, scanners, and other peripherals.

[0049] Wi-Fi (Wireless Fidelity): Based on the IEEE 802.11 standard, it requires no wiring and can cover a large area. It is suitable for mobile devices to access the network, smart homes, smart factories, etc., and is flexible, convenient, and supports high data rates.

[0050] Bluetooth: A short-range wireless communication technology with low power consumption, primarily used for connections between personal devices. Suitable for connections between small devices such as mobile phones, headphones, keyboards, and mice.

[0051] Cellular Network: Including 2G, 3G, 4G LTE, 5G, etc. Cellular networks have wide coverage and are suitable for remote monitoring and Internet of Things applications.

[0052] Image acquisition module 1 includes: a camera and a light source;

[0053] The camera is a CMOS sensor with a built-in CMOS 1 / 3.2″ sensor. Its dimensions are 38mm × 38mm × 7.0mm. It has 5 megapixels, a pixel size of 1.4um × 1.4um, an aperture of f / 2.2, a focal length of 3.05mm, a field of view of 90°, a 650 10nm filter, a maximum resolution of 3264*2448, a frame rate of 15fps, a USB power supply voltage of 5V 5%, and an interface speed of 480mb / s.

[0054] The light source is a long strip light source, with a light-emitting area of ​​500mm×34mm and dimensions of 510mm×40mm×20mm. It has 6 rows of LED beads, a power supply voltage of 24V, a power of 24W, and a color temperature of 6500K.

[0055] The rotation detection module 3 is connected to the host computer detection module 2. The rotation detection module 3 is used to detect the rotation of the raw silk blackboard 10 in the raw silk detection device and transmit the first signal containing the rotation of the raw silk blackboard 10 to the host computer detection module 2.

[0056] Rotational speed detection module 3 may include an eddy current sensor;

[0057] The eddy current sensor is fixedly installed on the center line of the raw silk blackboard 10. The eddy current sensor is used to detect the rotation number of the raw silk blackboard 10 in the raw silk detection device. The eddy current sensor generates an electrical signal corresponding to the rotation number and transmits the first signal containing the rotation number of the raw silk blackboard 10 to the host computer detection module 2 through wireless communication.

[0058] It should be noted that the eddy current sensor is positioned on the center line of the blank area (excluding raw silk) in the raw silk blackboard 10. A square hole 12 can be provided on the center line of this blank area, with a threaded hole in the center of the square hole 12. The eddy current sensor is fixed and connected to the raw silk blackboard 10 through the threaded hole. Figure 3 For raw silk blackboard 10.

[0059] In addition to eddy current sensors, the following devices can also be selected depending on the actual situation:

[0060] Photoelectric Encoder: A photoelectric encoder calculates the number of rotations by detecting whether a light beam is blocked or passes through a rotating disk with uniformly spaced slits. Photoelectric encoders are divided into incremental and absolute types; the former provides information on relative position changes, while the latter directly provides the absolute position. Magnetic Encoder: A magnetic encoder uses gears or ring magnets made of magnetic materials and is equipped with Hall effect sensors or magnetoresistive sensors to detect changes in the magnetic field, thereby determining the rotation angle and speed. Hall Effect Sensor: When a permanent magnet rotates with the shaft, a Hall effect sensor can sense changes in the magnetic field strength and calculate the rotational speed. Rotary Transmitter: Also known as a generator-type tachometer, it uses the principle of electromagnetic induction to generate an AC voltage signal on a rotating shaft; its frequency is proportional to the rotational speed. Laser Doppler Vibration Meter: A non-contact measuring tool based on the Doppler effect, it accurately measures the speed and displacement of an object's surface by emitting a laser beam and receiving the reflected light waves. Ultrasonic Sensor: An ultrasonic sensor measures distance by sending and receiving ultrasonic pulses. When a target object rotates, the rotational speed can be indirectly calculated by analyzing the echo time difference. Mechanical speedometers: Traditional mechanical speedometers rely on physical contact, such as belt drive or gear meshing, to transmit rotational motion to a pointer instrument to display the speed. Fiber optic encoders: These use optical fibers to transmit optical signals, avoiding electromagnetic interference problems and making them suitable for use in harsh environments.

[0061] The status acquisition module 4 of the raw silk blackboard 10 is connected to the host computer detection module 2. The status acquisition module 4 of the raw silk blackboard 10 acquires the horizontal angle of the raw silk blackboard 10 and transmits the second signal containing the horizontal angle of the raw silk blackboard 10 to the host computer detection module 2.

[0062] The raw silk blackboard 10 status acquisition module 4 is an inertial measurement unit, which includes an accelerometer, a gyroscope, and a magnetometer;

[0063] An inertial measurement unit is fixedly installed on the center line of the raw silk blackboard 10. The inertial measurement unit is used to measure the horizontal angle of the raw silk blackboard 10 and transmits a second signal containing the horizontal angle of the raw silk blackboard 10 to the host computer detection module 2.

[0064] Similarly, the inertial measurement unit is fixedly set on the center line of the blank area without raw silk in the raw silk blackboard 10. A square hole 12 can be set on the center line of the blank area. A threaded hole is provided in the center of the square hole 12. Based on the threaded hole, the inertial measurement unit is fixed and connected to the raw silk blackboard 10.

[0065] In addition, a second method for obtaining the horizontal angle of the raw silk blackboard 10 is provided.

[0066] The raw silk blackboard 10 status acquisition module 4 is set inside the baffle 7 of the four corner brackets 6;

[0067] A square hole 12 is provided on the upper inner edge of the baffle 7 of the four-corner bracket 6. A threaded hole is provided in the center of the square hole 12. Based on the threaded hole, the state acquisition module 4 of the raw silk blackboard 10 is connected to the baffle 7. The state acquisition module of the raw silk blackboard can be a device containing a program corresponding to a method for detecting the posture of an object. The state acquisition module 4 of the raw silk blackboard 10 is connected to the image acquisition module 1. The state acquisition module 4 of the raw silk blackboard 10 acquires the image of the raw silk blackboard 10 by controlling the image acquisition module 1, and acquires the horizontal angle of the raw silk blackboard 10 based on the image.

[0068] like Figure 2 As shown, the structure of the raw silk testing device is described, including: four corner supports 6 and a raw silk blackboard 10;

[0069] The left, right, front and bottom of the four-corner bracket 6 are all hollow. The back of the four-corner bracket 6 is provided with a baffle 7. The bottom of the four-corner bracket 6 is provided with a crossbeam 8. The bottom crossbeam 8 is used to connect and fix the support column 9 of the four-corner bracket 6. The top of the four-corner bracket 6 is provided with a crossbeam 8. The top crossbeam 8 is also used to connect and fix the support column 9 of the four-corner bracket 6.

[0070] The left and right crossbeams 8 at the top of the four-corner bracket 6 are rotatably connected to both ends of the raw silk blackboard 10.

[0071] A horizontal support plate 11 is fixed between the top and bottom crossbeams 8 of the four-corner bracket 6. The image acquisition module 1 is mounted on the horizontal support plate 11. The horizontal support plate 11 has several square holes 12, and a threaded hole is located in the center of each square hole 12. The image acquisition module is fixed to the horizontal support plate 11 through the threaded hole. Figure 4 The square hole 12 is on the horizontal support plate 11.

[0072] The entire testing process is explained below:

[0073] The host computer detection module 2 receives the first signal and the second signal. When the number of revolutions of the raw silk blackboard 10 in the first signal is 0 and the horizontal angle in the second signal is 0, the host computer detection module 2 sends a control signal. The image acquisition module 1 receives the control signal from the host computer and sends the image data back to the host computer. The host computer is used to output raw silk quality information based on the image data.

[0074] In summary, this utility model provides a raw silk image detection device, comprising an image acquisition module, a host computer detection module, a rotation count detection module, a raw silk blackboard status acquisition module, and a client terminal. The host computer detection module is connected to the image acquisition module. The rotation count detection module is connected to the host computer detection module and is used to detect the rotation count of the raw silk blackboard in the raw silk detection device, transmitting a first signal containing the rotation count of the raw silk blackboard to the host computer detection module. The raw silk blackboard status acquisition module is connected to the host computer detection module, acquiring the horizontal angle of the raw silk blackboard and transmitting a second signal containing the horizontal angle of the raw silk blackboard to the host computer detection module. The image acquisition module receives control signals from the host computer and transmits image data back to the host computer, which outputs raw silk quality information based on the image data. The host computer detection module is connected to the client terminal, sending the quality information to the client terminal. The device required by this utility model is simple and readily available, enabling automated detection of raw silk quality.

[0075] The above are merely preferred embodiments of this utility model and are not intended to limit the scope of this utility model. Various modifications and variations can be made to this utility model by those skilled in the art. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of this utility model should be included within the protection scope of this utility model.

Claims

1. A raw silk image detecting device characterized by comprising: The device comprises an image acquisition module, an upper computer detection module, a number of revolutions detection module, a raw silk blackboard state acquisition module and a customer terminal; The upper computer detection module is connected with the image acquisition module; The number of revolutions detection module is connected with the upper computer detection module, and is used for detecting the number of revolutions of the raw silk blackboard in the raw silk detection device and transmitting a first signal containing the number of revolutions of the raw silk blackboard to the upper computer detection module; The raw silk blackboard state acquisition module is connected with the upper computer detection module, and is used for acquiring the horizontal angle of the raw silk blackboard and transmitting a second signal containing the horizontal angle of the raw silk blackboard to the upper computer detection module; The image acquisition module receives a control signal of the upper computer detection module and returns image data to the upper computer detection module, and the upper computer detection module outputs raw silk quality information based on the image data; The upper computer detection module is connected with the customer terminal, and the upper computer detection module sends the quality information to the customer terminal.

2. A raw silk image detecting apparatus according to claim 1, wherein The raw silk detection device comprises a four-corner support and a raw silk blackboard; The left side, the right side, the front and the bottom of the four-corner support are in a hollow state, the back of the four-corner support is provided with a baffle, the bottom of the four-corner support is provided with a crossbeam, the crossbeam at the bottom is used for connecting and fixing support columns of the four-corner support, and the top of the four-corner support is provided with a crossbeam, which is also used for connecting and fixing the support columns of the four-corner support; The left crossbeam and the right crossbeam at the top of the four-corner support are rotatably connected with two ends of the raw silk blackboard respectively; Horizontal support plates are fixed between the crossbeam at the top and the crossbeam at the bottom of the four-corner support, and the image acquisition module is arranged on the horizontal support plates.

3. A raw silk image detecting apparatus according to claim 1, wherein The upper computer detection module is connected with the image acquisition module, and comprises: The upper computer detection module comprises an upper computer, at least one USB interface of the upper computer is connected with a line splitter, and the image acquisition module is connected with the upper computer based on an interface of the line splitter.

4. A raw silk image detecting apparatus according to claim 1, wherein The image acquisition module comprises: A camera and a light source; The type of the camera is CMOS, the specification of the built-in photosensitive chip of the camera is CMOS 1 / 3.2'', the length, width and height of the camera are 38mm*38mm*7.0mm, the pixel number of the camera is 5 million, the pixel size of the camera is 1.4um*1.4um, the aperture of the camera is 2.2, the focal length of the camera is 3.05mm, the field of view angle of the camera is 90°, the filter of the camera is 650 10nm, the maximum resolution of the camera is 3264*2448, the frame rate of the camera is 15fps, the USB power voltage of the camera is 5V 5%, the interface speed of the camera is 480mb / s; The light source is a long strip light source, wherein the size of the light emitting area is 500mm*34mm, the length, width and height are 510mm*40mm*20mm, the number of lamp bead rows is 6, the power supply voltage is 24V, the power is 24W, and the color temperature is 6500K.

5. A raw silk image detecting apparatus according to claim 2, wherein The raw silk blackboard state acquisition module is an inertial measurement unit, and the inertial measurement unit comprises an accelerometer, a gyroscope and a magnetometer; The inertial measurement unit is fixedly arranged on the center line of the raw silk blackboard, and is used for measuring the horizontal angle of the raw silk blackboard and transmitting a second signal containing the horizontal angle of the raw silk blackboard to the upper computer detection module. The raw silk blackboard state acquisition module is arranged on the inner side of the baffle of the four-corner support; 6. A raw silk image detecting apparatus according to claim 2, wherein ​ ​ The raw silk blackboard state acquisition module is connected with the image acquisition module, the raw silk blackboard state acquisition module acquires the image of the raw silk blackboard by controlling the image acquisition module, and the horizontal angle of the raw silk blackboard is acquired according to the image.

7. A raw silk image detecting apparatus as claimed in claim 2, wherein The number of revolutions detection module comprises: The number of revolutions detection module comprises an eddy current sensor; The eddy current sensor is fixedly arranged on the center line of the raw silk blackboard, and is used for detecting the number of revolutions of the raw silk blackboard in the raw silk detection device.

8. A raw silk image detecting apparatus according to claim 2, wherein Comprise: A plurality of square holes are arranged on the horizontal support plate, a threaded hole is arranged at the center of each square hole, and the image acquisition module is fixed with the horizontal support plate through the threaded hole.

Images