Spiral mesh splicing detection method and detection equipment

Abstract

The present invention relates to a method and equipment for detecting the splicing of a spiral net. The method comprises: applying a tensioning force to a spliced ​​spiral net to open all the spliced ​​net circles in the spiral net, and detecting the shape of one or more rows of net circles, and alarming when the detection result is abnormal. The detection equipment comprises: a frame; a tensioning mechanism; a detection mechanism, which is used to detect the shape of one or more rows of spliced ​​net circles in the spiral net and feed back the detection information; a control system, which is connected to the detection mechanism signal and is used to receive and analyze the detection information and output the detection result; and an alarm mechanism, which sends an alarm signal when the detection result is abnormal. The present invention can assist workers in detecting the spiral net that has undergone the splicing process. When the net circle is misthreaded or missed, an alarm message is sent to remind the workers to deal with it in time, thereby ensuring the quality of the finished spiral net.

Description

Technical Field

[0001] The invention belongs to the field of textile machinery, and in particular relates to a detection method and a detection device for detecting the splicing of a spiral mesh. Background Art

[0002] Spiral mesh is a common filter material, usually made of polymer plastics, such as PP, polyester fiber, etc. It has the advantages of high temperature resistance, acid and alkali resistance, etc., and is widely used in the processing of various filter materials. Chinese patent CN02203004.2 discloses a spiral mesh structure. The spiral mesh is formed by splicing multiple spiral mesh sheets in sequence along the X direction. The spiral mesh includes two rows of edge mesh circles located on the two side edges of each spiral mesh sheet and used for threading, and multiple rows of spliced ​​middle mesh circles located on the inner side of the edge mesh circles and overlapping with each other. Usually, the processing process of the spiral mesh requires that a single wire is first formed into a spiral structure ring through a ring winding machine, and then the spiral structure ring is overlapped on a networking machine. After that, the networking machine automatically introduces the single wire into the overlapping ring to form a spiral mesh sheet. Each spiral mesh sheet is composed of 30 left-handed spiral structure rings and 30 right-handed spiral structure rings in parallel, with a length of about 20 cm. For the specific structure, see Figure 1 . However, the spiral mesh requires a large area when used as a filter material, and traditional equipment cannot produce a long enough spiral mesh at one time, so a longer spiral mesh can only be spliced ​​through a splicing process. In the traditional splicing process, workers stand and operate facing the networking machine. The networking machine is responsible for producing spiral mesh sheets. There is a networking platform downstream for splicing sheets into a mesh. The networking platform has a certain width and height. When splicing two spiral meshes, it is necessary to manually overlap the edge mesh circles of the two spiral mesh sheets, which is not ergonomic. It is necessary to bend over and manually guide the wire. The labor intensity is high and the efficiency is low. It is easy to cause human operating errors, resulting in some mesh circles in the spiral mesh being missed or mis-penetrated. In actual production, except for visual inspection, there are no other effective detection methods for spiral meshes. If the above-mentioned missed and mis-penetrated mesh circles are not handled in time, the quality grade of the finished spiral mesh will be reduced. Summary of the invention

[0003] In order to solve the above technical problems, the purpose of the present invention is to provide a method and equipment capable of detecting the missing or wrong mesh loops of the spiral mesh produced during the splicing process.

[0004] To achieve the purpose of the above invention, the present invention adopts the following technical scheme: a method for detecting the splicing of a spiral mesh, the method comprising: applying a tensioning force to the spliced ​​spiral mesh to open all the spliced ​​mesh circles, and detecting the shape of one or more rows of mesh circles, and sending an alarm signal when the detection result is abnormal.

[0005] In the above technical solution, preferably, the morphology detection includes: on the side of the spiral mesh, a light beam parallel to the row direction is used to irradiate from one end to the other end of the edge mesh ring of two spiral meshes that have completed the splicing process, and the intensity of the light beam passing through the edge mesh ring to the receiver is detected, and if the intensity of the received light beam is lower than the set threshold, an alarm signal is issued

[0006] Furthermore, the morphology detection includes: collecting image information of the front or back of the spiral mesh, and comparing and analyzing the image information with a standard spiral mesh image, and issuing an alarm signal when the corresponding index deviates from a set threshold. In the above technical solution, preferably, the image information includes at least one row of image information of the edge mesh ring connected by the splicing process.

[0007] In the above technical solution, preferably, the image of the standard spiral mesh is obtained by continuously collecting standard spiral meshes of a calibrated distance and performing computer training, and the calibrated distance is greater than or equal to the length of three spiral mesh sheets.

[0008] The present invention also provides another technical solution, a spiral mesh detection device, the detection device comprising:

[0009] frame;

[0010] A tensioning mechanism is used to provide tensioning force along the X direction to the spliced ​​spiral net, so that the spliced ​​net rings in the spiral net are opened;

[0011] A detection mechanism is used to detect the shape of one or more rows of spliced ​​mesh loops in the spiral mesh and feed back the detection information to the control system;

[0012] A control system, connected to the detection mechanism signal, for receiving and analyzing the detection information and outputting the detection results;

[0013] An alarm mechanism sends out an alarm signal when the detection result is abnormal.

[0014] The detection mechanism includes a photoelectric inspection device and an image acquisition device.

[0015] In the above technical solution, preferably, the photoelectric inspection device is located on the side of the spiral mesh, and the photoelectric inspection device includes a light emitter and a receiver respectively arranged at both ends of the spiral mesh, and the light emitter is configured to emit a light beam parallel to the row direction from one end of the edge mesh circle of two spiral meshes that have completed the splicing process to the other end, and the receiver is used to receive the light beam passing through the edge mesh circle and transmit the light beam intensity information to the control system. When the intensity is lower than the set threshold, the control system outputs the abnormal detection result to the alarm mechanism, and the alarm mechanism sends an alarm signal.

[0016] In the above technical solution, preferably, the image acquisition device is located on the front or back of the spiral net, and the image acquisition device is used to collect image information of the front or back of the spiral net after the splicing process. The image acquisition device is connected to the control system signal, and the control system includes a calculation and analysis module, and the calculation and analysis module is configured to compare and analyze the collected image information with a standard spiral net image, and output an abnormal detection result when the comparison result exceeds a set threshold, and the alarm mechanism sends an alarm signal after receiving the abnormal detection result.

[0017] In the above technical solution, preferably, the control system further comprises a storage module pre-stored with a standard spiral mesh image, and the calculation and analysis module is configured to be able to call the standard spiral mesh image.

[0018] Compared with the prior art, the present invention has the following beneficial effects: the present invention can assist workers in detecting the spiral net after the splicing process, and when the net ring is misthreaded or missed, an alarm message is issued to remind the workers to deal with it in time, thereby ensuring the quality of the finished spiral net. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is the structural schematic diagram of the spiral net;

[0020] Figure 2 is a top view of the present invention;

[0021] Figure 3 It is a front view of the present invention;

[0022] Figure 4 It is the main view of the automatic wire guiding mechanism;

[0023] Among them, 1. spreading platform; 2. movable work station; 3. first wire guide roller; 4. light emitter; 5. receiver; 6. automatic wire guiding mechanism; 7. guide roller; 8. tensioning mechanism; 9. operating handle; 10. frame; 11. Y-axis slide rail; 12. X-axis slide rail; 13. organic glass cover; 14. positioning cutter; 15. induction detector; 16. clamping and conveying mechanism; 18. guide wheel; 19. second wire guide roller; 21. first spiral mesh sheet; 22. second spiral mesh sheet; 23. monofilament; 24. detection position; 25. threading position; 26. wire cake; 211. splicing mesh ring; 212. middle mesh ring; 221. splicing mesh ring; 222. middle mesh ring; 27. detection mechanism; 271. photoelectric inspection device; 272. image acquisition device. DETAILED DESCRIPTION

[0024] In order to explain the technical content, structural features, objectives and effects of the invention in detail, the following will be described in detail with reference to the embodiments and accompanying drawings. The "front", "rear", "left" and "right" mentioned in the specification are based on the directions observed by the operator sitting on the movable workstation 2, that is, the attached drawings. Figure 2 The upper center is the "front" in the manual, the lower center is the "rear", the left side is the "left", and the right side is the "right". Figure 3 The winding direction is from left to right. Figure 2 The X direction in the specification is the "front and back" direction, and the Y direction is the left and right direction, also known as the "row direction". Figure 3 The upper and lower positions shown in the figure correspond to each other, and the "upstream" and "downstream" mentioned in the specification correspond to the upstream and downstream positions along the winding direction respectively.

[0025] The invention discloses a spiral mesh splicing detection method and detection equipment, which are used in Figure 2-4 The spiral mesh networking platform shown is used to detect whether there are problems such as missing or wrong threading between the mesh circles of the spiral mesh after the splicing process. The detection equipment can also be used on the spiral mesh networking machine or other equipment. Figure 1 As shown, it is formed by splicing multiple spiral mesh sheets 21 and 22 in the X direction in the head-to-tail order, and each spiral mesh sheet contains multiple rows of mesh circles overlapping each other. Among them, taking the first spiral mesh sheet 21 as an example, the spiral mesh includes edge mesh circles 211 located at the edges of both sides of the spiral mesh sheet and multiple rows of middle mesh circles 212 located inside the edge mesh circles 211 and overlapping each other. Through the spiral mesh networking platform, the edge mesh circles 211 and 221 of two adjacent spiral mesh sheets: the first spiral mesh sheet 21 and the second spiral mesh sheet 22 can be overlapped with each other, and the first spiral mesh sheet 21 and the second spiral mesh sheet 22 are connected into a spiral mesh by passing a monofilament 23 through the overlapping mesh circles. After multiple spiral mesh sheets are connected together, a continuous and longer spiral mesh coil can be formed.

[0026] This embodiment discloses a spiral network networking platform, and the detection method and device are integrated on the networking platform. Figure 2 , 3 As shown, the spiral network platform includes:

[0027] The rack 10 is used to support the networking platform and connect the following components;

[0028] The spreading platform 1 has a tabletop extending along the XY plane. The first spiral mesh sheet 21 and the second spiral mesh sheet 22 to be spliced ​​are laid flat on the spreading platform 1. Positioning lines are drawn on the spreading platform 1. The operator overlaps the edge portions of the first spiral mesh sheet 21 and the second spiral mesh sheet 22 according to the sheet locator and the positioning line requirements to facilitate subsequent threading.

[0029] A movable workstation 2 is provided for operators to sit on. The movable workstation 2 is connected to the frame 10 via an X-direction slide rail 12 and a Y-direction slide rail 11, and can be freely moved forward, backward, left, and right by manual operation;

[0030] The automatic wire-guiding mechanism 6 is arranged on one side of the spreading platform 1. The automatic wire-guiding mechanism 6 includes a group of first wire guide rollers 3 and a driving device for controlling the feeding or retreat of the monofilament 23. It also includes a positioning cutter 14 for cutting off the monofilament after threading is completed, and an induction detector 15. Since the wire 23 used for the spliced ​​spiral mesh is a polymer material with a certain hardness, the operator only needs to insert the monofilament 23 into the mesh circle of the overlapping part of the first spiral mesh sheet 21 and the second spiral mesh sheet 22. The wire 23 can be inserted into the mesh circle by the automatic wire-guiding mechanism 6. Once the operator makes an operational error, the automatic wire-guiding mechanism can be controlled to withdraw the wire and then re-feed the wire, and finally the wire 23 passes through all the overlapping mesh circles. When a row of mesh circles is threaded, the induction detector 15 on the right side of the operating platform senses that the monofilament 23 has been threaded into position, and the positioning cutter 14 can automatically cut off the wire on the left side of the operating platform;

[0031] The clamping and conveying mechanism 16 is arranged on both sides of the operating platform, and is used to fix the second spiral mesh sheet 22 during the splicing process. When the splicing process is completed, it is used to cooperate with the tensioning mechanism 8 to complete the winding of the spiral mesh. The clamping and conveying mechanism 16 uses a crawler-type pressure wheel. When the pressure wheel does not rotate, the spiral mesh can be pressed on the spreading platform. When the pressure wheel rotates forward or backward, the spiral mesh can be moved forward or backward;

[0032] The tensioning mechanism 8 is located downstream of the spiral mesh detection process and is configured to provide a uniform tensioning force along the X direction to open the mesh loop of the spiral mesh in the detection area and to achieve intermittent winding of the spliced ​​spiral mesh.

[0033] The detection mechanism 27 is used to detect one or more rows of mesh circles spliced ​​through the splicing process and feed back the detection information to the control system. The detection methods here include photoelectric detection method and image detection method, and the corresponding detection mechanisms are a photoelectric detection device 271 located on the side of the spiral mesh and an image acquisition device 272 located on the front or back of the spiral mesh. The photoelectric detection device 271 detects the outer contour or inner contour of the edge mesh circle from the side, and the image acquisition device 272 detects the texture formed by one or more rows of mesh circles and the direction of the boundary line between the rows of mesh circles from the front or back.

[0034] The control system is connected to the detection mechanism 27 by signal, and is used to receive and analyze the detection information fed back by the detection mechanism, and output the detection result. The photoelectric detection device 271 and the image acquisition device 272 are connected to the control system by signal. The control system includes a calculation and analysis module and a storage module. The calculation and analysis module is configured to compare the collected spiral mesh image information with the standard spiral mesh picture information, and output the abnormal detection result when the comparison result deviates from the set threshold. The storage module can store and call the pre-input standard spiral mesh picture for the calculation and analysis module. The alarm mechanism sends out an alarm signal such as sound, light, or electricity when the detection result is abnormal.

[0035] More specifically, the photoelectric detection method used in the present invention is to emit parallel light beams from one side of the spiral web to the edge mesh circles 211 and 221 of the upstream and downstream adjacent spiral webs that have completed the splicing process, that is, Figure 1 The detection position 24 is used to detect the intensity of the light beam reaching the other side of the spiral net, and determine whether there is a missing or wrong penetration phenomenon. The corresponding photoelectric detection device 271 mainly includes a laser transmitter 4 and a laser receiver 5 located on both sides of the spiral net. When the net ring to be detected runs to the photoelectric detection position 24, the laser transmitter 4 emits a laser beam of fixed luminous intensity to the above-mentioned net ring to be detected. If the threading process is correct, under the action of the tension applied by the tensioning mechanism 8, the edge net rings in the spiral net are arranged neatly, and there is a large space in the edge net ring 221 or 211 to allow the entire beam of light to pass through. If there is a missing or wrong penetration phenomenon, the part of the net ring that is not tensioned is not arranged neatly, which will block part or the entire beam. The laser receiver 5 determines whether there is a missing or wrong penetration phenomenon in the edge net rings 211 and 221 that have completed the splicing process based on the received beam intensity information. When the beam intensity is lower than the set threshold, the control system sends an electrical signal to the alarm mechanism indicating that the detection result is abnormal. When the alarm mechanism receives the above electrical signal, it sends sound, light, electricity and other alarm information to the worker to remind the worker to process the spiral net.

[0036] The image analysis method is to collect image information on the front or back of the spiral net and compare and analyze it with the standard spiral net picture, so as to determine whether there is a missing or wrong threading phenomenon in the spiral net. The image acquisition device 272 is located on the front or back of the spiral net, and collects image information on the front or back of the spiral net after the splicing process. The image acquisition device 272 is connected to the control system signal. Due to the tensioning force provided by the tensioning mechanism 8, the surface information of the spiral net with normal threading and abnormal threading should be inconsistent. Therefore, the calculation and analysis module of the control system can analyze the collected image information in time. For example, the calculation and analysis module can identify the texture of the net circle in the image information, the direction of the boundary line, etc., and compare it with the standard spiral net picture. When the corresponding analysis index in the collected image information deviates from the set threshold, the control system outputs an abnormal detection result signal to the alarm device. When the alarm device receives the above abnormal signal, it sends an alarm message to the worker to remind the worker to deal with the spiral net in time.

[0037] The above detection process is completed by the synchronous cooperation of the clamping and conveying mechanism 16, the tensioning mechanism 8, and the automatic wire drawing mechanism 6. After the worker completes the threading process of the overlapping mesh ring 25 using the automatic wire drawing mechanism 6, the clamping and conveying mechanism 16 and the tensioning mechanism 8 are controlled by the operating handle 9 to reel the spiral mesh sheet material, and the reeling line distance is the length of one spiral mesh sheet material. At this time, the edge mesh rings 211 and 221 upstream and downstream of the threading position 25 enter the photoelectric detection position and the image detection area, and are affected by the reeling tension, and the mesh rings in the spiral mesh are pulled apart, so that the detection can be carried out normally. When the above detection is completed and the alarm device does not send out an alarm signal, it proves that there is no missed or wrong threading of the mesh circle, and the worker can proceed to the next threading process; if the alarm device sends out an alarm signal, it proves that there is a wrong threading or missed threading phenomenon in the row of mesh circles and the area, and the worker controls the clamping conveying mechanism 16 and the tensioning mechanism 8 through the operating handle 9 to retract the spiral mesh by a sheet length, and retract the mesh circle 25 to the automatic threading position, and then rethread the wire through the automatic wire drawing mechanism 6 after retracting the wire. After the threading is completed, the next detection is carried out. In other embodiments of the present invention, the distance that the spiral mesh moves each time can also be adjusted according to the actual position of the photoelectric detection device 271 and the image acquisition device 272, or it can be moved twice to complete two detections, which can be adjusted according to the actual situation.

[0038] The goal of the present invention is to provide a method and concept for detecting the spliced ​​spiral network. The purpose is to enable people familiar with the technology to understand the present invention and implement it, and it cannot be used to limit the scope of protection of the present invention. Those skilled in the art can choose one of the above-mentioned photoelectric detection methods or image analysis methods for detection, or combine the two methods for detection. Any equivalent changes or modifications made according to the spirit of the present invention should be included in the scope of protection of the present invention.

Claims

1. A spiral mesh detection device, characterized in that: The detection equipment comprises: frame; A tensioning mechanism is used to provide tensioning force along the X direction to the spliced ​​spiral net, so that the spliced ​​net rings in the spiral net are opened; A detection mechanism, used to detect the shape of one or more rows of spliced ​​mesh loops in the spiral mesh and feed back detection information to the control system, the detection mechanism comprising a photoelectric detection device and an image acquisition device; A control system, connected to the detection mechanism signal, for receiving and analyzing the detection information and outputting the detection results; An alarm mechanism, which sends out an alarm signal when the detection result is abnormal; Among them, the photoelectric inspection device is located on the side of the spiral net, and the photoelectric inspection device includes a light emitter and a receiver respectively arranged at both ends of the spiral net. The light emitter is configured to emit a light beam parallel to the row direction from one end of the edge mesh circle of two spiral nets that have completed the splicing process to the other end. The receiver is used to receive the light beam passing through the edge mesh circle and transmit the light beam intensity information to the control system. When the intensity is lower than the set threshold, the control system outputs the abnormal detection result to the alarm mechanism, and the alarm mechanism sends an alarm signal.

2. The spiral mesh detection device according to claim 1, characterized in that: The image acquisition device is located on the front or back of the spiral net. The image acquisition device is used to collect image information of the front or back of the spiral net after the splicing process. The image acquisition device is connected to the control system signal. The control system includes a calculation and analysis module. The calculation and analysis module is configured to compare and analyze the collected image information with a standard spiral net image and output an abnormal detection result when the comparison result exceeds a set threshold. The alarm mechanism sends an alarm signal after receiving the abnormal detection result.

3. The spiral mesh detection device according to claim 2, characterized in that: The control system also includes a storage module pre-stored with a standard spiral mesh image, and the calculation and analysis module is configured to be able to call the standard spiral mesh image.

4. A method for detecting a splicing of a spiral mesh detection device according to any one of claims 1 to 3, characterized in that: The method comprises: applying tension to the spliced ​​spiral net to open all the spliced ​​net circles in the spiral net, and detecting the shape of one or more rows of net circles, and sending an alarm signal when the detection result is abnormal.

5. The method for detecting the splicing of a spiral mesh according to claim 4, characterized in that: The morphological detection includes: on the side of the spiral mesh, a light beam parallel to the row direction is used to irradiate from one end to the other end of the edge mesh circle of two spiral meshes that have completed the splicing process, and the intensity of the light beam passing through the edge mesh circle to the receiver is detected. If the received light beam intensity is lower than the set threshold, an alarm signal is issued.

6. The method for detecting the splicing of a spiral mesh according to claim 4, characterized in that: The morphological detection includes: collecting image information of the front or back of the spiral net, and comparing and analyzing the image information with a standard spiral net picture, and sending an alarm signal when the corresponding index deviates from a set threshold.

7. The method for detecting the splicing of a spiral mesh according to claim 6, characterized in that: The image information at least includes image information of a row of edge mesh circles connected through a splicing process.

8. The method for detecting the splicing of a spiral mesh according to claim 7, characterized in that: The standard spiral mesh image is obtained by continuously collecting standard spiral meshes of a calibrated distance and performing computer training, and the calibrated distance is greater than or equal to the length of three spiral mesh sheets.

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