CN115897025B - Thickness monitoring system, method and storage medium for high-thickness flat fabric loom - Google Patents
Thickness monitoring system, method and storage medium for high-thickness flat fabric loom Download PDFInfo
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Abstract
The invention relates to a thickness monitoring system, a method and a storage medium of a high-thickness flat textile loom, which belong to the technical field of thickness monitoring, and thickness data of a carbon fiber preform led out of a textile forming area can be timely detected through a textile thickness measuring device and an image acquisition and detection device, so that the thickness of the carbon fiber preform led out of the textile forming area is ensured to be in a reasonable range, and the thickness data can meet the laying requirements of prepregs in the subsequent composite material manufacturing process; the clamp plate clearance detection device, the clamp plate deformation detection device and the fixing piece loosening detection device can timely detect the damage of the clamp plate, the fixing piece and the like, and production safety accidents caused by unknowing staff are avoided.
Description
Technical Field
The invention belongs to the technical field of thickness monitoring, and particularly relates to a thickness monitoring system and method of a high-thickness flat-plate fabric loom and a storage medium.
Background
The whole machine of the high-thickness flat fabric loom generally comprises five mechanisms, namely a lifting mechanism, a weft insertion mechanism, a crimping mechanism, a beating-up mechanism and a warp let-off mechanism. Wherein the crimping mechanism functions to draw the web away from the web forming zone; the curling mechanism generally adopts a servo motor, a reduction gearbox, a gear, a chain and a special fabric clamping device to form a fabric dragging system. The towing speed and towing distance are adjustable.
At present, the structure of the crimping mechanism is different in the research and development of the whole loom equipment. In the prior art, part of loom equipment is additionally provided with a pressing plate at a crimping mechanism, the pressing plate is used for applying pressure to the carbon fiber preform when the carbon fiber preform is led away from a fabric forming area, each bundle of carbon fibers is ensured to be clamped, the carbon fiber preform is ensured not to slide, and the preform is rapidly and conveniently replaced when cut. However, during the specific operation, we found that carbon fiber preforms that were guided away from the fabric forming zone tended to have non-uniform thickness. The problem of stress concentration is easy to occur due to unreasonable thickness of the carbon fiber preform, so that the paving performance of the prepreg in the subsequent composite material manufacturing process is affected, and the mechanical property of the subsequent composite material is further affected. In addition, if the carbon fiber preform is too thick, damage may be caused to the pressing plate and the fixing member thereof, and if the pressing plate and the fixing member are not found and processed in time, potential safety hazards are easily caused.
Therefore, a thickness monitoring system, a method and a storage medium for a high-thickness flat textile machine are needed to solve the above problems.
Disclosure of Invention
The invention aims to provide a thickness monitoring system, a thickness monitoring method and a storage medium of a high-thickness flat-plate fabric loom, which are used for solving the technical problems in the prior art, ensuring that the thickness of a carbon fiber preform led out of a fabric forming area is in a reasonable range so as to meet the preparation requirement of a subsequent composite material, and simultaneously avoiding the potential safety hazard problem caused by damage to a pressing plate and a fixing piece thereof due to excessive thickness of the carbon fiber preform.
In order to achieve the above purpose, the technical scheme of the invention is as follows:
the thickness monitoring system of the high-thickness flat fabric loom comprises a fabric thickness measuring device, an image acquisition and detection device, a pressing plate gap detection device, a pressing plate deformation detection device, a fixing piece loosening detection device and a main control device; the main control device is respectively connected with the fabric thickness measuring device, the image acquisition and detection device, the pressing plate gap detection device, the pressing plate deformation detection device and the fixing piece loosening detection device;
the fabric thickness measuring device is used for measuring thickness data of the carbon fiber preform in real time, recording the thickness data as real-time thickness data, and judging whether the real-time thickness data is matched with standard thickness data of the carbon fiber preform or not;
the image acquisition and detection device is used for acquiring image data of the carbon fiber preform in real time, recording the image data as real-time image data, carrying out recognition analysis on the real-time image data to obtain accurate thickness data, and judging whether the accurate thickness data exceeds an acceptable error range of the carbon fiber preform;
the pressure plate gap detection device is used for detecting whether the gap distance between the bottom of the pressure plate and the top of the frame is abnormal or not;
the pressing plate deformation detection device is used for detecting whether the pressing plate is deformed abnormally or not;
the fixing piece loosening detection device is used for detecting whether the fixing piece of the pressing plate is abnormal in loosening or not.
Further, the main control device controls the fabric thickness measuring device to be normally opened, and controls the image acquisition detecting device, the pressing plate gap detecting device, the pressing plate deformation detecting device and the fixing piece loosening detecting device to be normally closed;
if the fabric thickness measuring device judges that the real-time thickness data is not matched with the standard thickness data of the carbon fiber preform, the main control device controls the image acquisition and detection device to be started;
if the image acquisition and detection device judges that the accurate thickness data exceeds the acceptable error range of the carbon fiber preform and the accurate thickness data is larger than the standard thickness data, the main control device controls the platen gap detection device to be started;
if the pressure plate gap detection device detects that the gap distance between the bottom of the pressure plate and the top of the shelf is abnormal, the main control device controls the pressure plate deformation detection device to be started;
if the pressing plate deformation detection device detects that the pressing plate is not deformed abnormally, the main control device controls the fixing piece loosening detection device to be started.
Further, the system also comprises an abnormality visualization device, wherein the abnormality visualization device is connected with the main control device.
Further, if the image acquisition and detection device judges that the accurate thickness data exceeds the acceptable error range of the carbon fiber preform and the accurate thickness data is larger than the standard thickness data, the main control device controls the abnormality visualization device to warn that the fabric thickness data is abnormal;
if the pressure plate gap detection device detects that the gap distance between the bottom of the pressure plate and the top of the frame is abnormal, the main control device controls the abnormality visualization device to warn that the gap distance is abnormal;
if the pressing plate deformation detection device detects that the pressing plate is deformed abnormally, the main control device controls the abnormality visualization device to warn that the pressing plate is deformed abnormally;
if the fixing piece loosening detection device detects that the fixing piece of the pressing plate is abnormal in loosening, the main control device controls the abnormal visualization device to warn that the fixing piece is abnormal in loosening.
Further, when the platen gap detection device is fixedly arranged on the high-thickness flat textile machine, the thickness monitoring system further comprises a vibration detection device, and the vibration detection device is connected with the main control device;
the vibration detection device is used for detecting the real-time vibration intensity of the pressing plate gap detection device and judging whether the real-time vibration intensity exceeds a preset vibration intensity range or not;
wherein the main control device controls the vibration detection device to be normally closed;
if the image acquisition and detection device judges that the accurate thickness data exceeds the acceptable error range of the carbon fiber preform and the accurate thickness data is larger than the standard thickness data, the main control device controls the vibration detection device to be started;
and if the vibration detection device judges that the real-time vibration intensity does not exceed the preset vibration intensity range, the main control device controls the pressure plate gap detection device to be started.
Further, when the platen gap detection device is movably arranged in a factory where the high-thickness flat textile machine is located, the thickness monitoring system further comprises a position adjustment device, and the position adjustment device is connected with the main control device;
the position adjusting device is used for moving the position of the pressing plate gap detecting device;
wherein the main control device controls the position adjusting device to be normally closed;
if the pressure plate gap detection device detects that the gap distance between the bottom of the pressure plate and the top of the rack is abnormal, the main control device controls the position adjustment device to be started;
and if the position adjusting device moves the position of the pressing plate gap detecting device, the pressing plate gap detecting device still detects that the gap distance between the bottom of the pressing plate and the top of the frame is abnormal, and the main control device controls the pressing plate deformation detecting device to be started.
Further, in the image acquisition and detection device, capturing the real-time image data of the carbon fiber preform by a three-coordinate scanning method, and inputting the real-time image data into a neural network model for identifying thickness, thereby outputting the accurate thickness data;
the input data and the output data of the neural network model during training are obtained from the historical data of the carbon fiber preform of the leading-out fabric forming area in the historical operation process.
Further, the system also comprises a wireless communication device and a remote monitoring end, wherein the main control device is connected with the remote monitoring end through the wireless communication device in a network manner.
The thickness monitoring method of the high-thickness flat fabric loom adopts the thickness monitoring system of the high-thickness flat fabric loom to monitor the thickness.
A storage medium having stored thereon a computer program which when run performs a method of thickness monitoring for a high-thickness flat textile machine as described above.
Compared with the prior art, the invention has the following beneficial effects:
the method has the advantages that the thickness data of the carbon fiber preform led out of the fabric forming area can be timely detected through the fabric thickness measuring device and the image acquisition and detection device, so that the thickness of the carbon fiber preform led out of the fabric forming area is ensured to be in a reasonable range, and the requirement of prepreg paving in the subsequent composite material manufacturing process can be met; the clamp plate clearance detection device, the clamp plate deformation detection device and the fixing piece loosening detection device can timely detect the damage of the clamp plate, the fixing piece and the like, and production safety accidents caused by unknowing staff are avoided.
One of the beneficial effects of this scheme lies in, through the orderly cooperation start-up between fabric thickness measuring device, image acquisition detection device, clamp plate clearance detection device, clamp plate deformation detection device, the not hard up detection device of mounting, can avoid too much detection device to be in invalid action state for a long time. The thickness detection of the carbon fiber preform is divided into two links of a fabric thickness measuring device and an image acquisition and detection device; the thickness measuring device of the fabric can select a thickness measuring instrument to perform preliminary thickness detection, when the thickness abnormality is detected initially, the thickness abnormality is detected accurately through the image acquisition detecting device, and in the fine detection process, if the thickness deviation is judged to be within an acceptable error range (set according to the subsequent application field of the carbon fiber preform of the current batch), the current thickness abnormality is ignored; the reliability of the thickness detection result can be ensured in the double detection links; and the thickness measuring instrument is lower in equipment price and equipment energy consumption compared with the image acquisition and detection device, and is more suitable for long-term action, so that the scheme is designed to trigger the image acquisition and detection device according to the measurement result of the fabric thickness measuring device. To the circumstances that the actual thickness of carbon fiber perform is too big and probably causes clamp plate and mounting to damage, this scheme is analyzed according to clamp plate mechanical structure and clamp plate rigidity atress condition, by clamp plate clearance detection device's testing result for triggering the condition, triggers in proper order and starts clamp plate deformation detection device, mounting and become flexible detection device, carries out accurate detection location to the unusual that probably exists.
Drawings
Fig. 1 is a schematic view of a simple structure of a loom apparatus according to this embodiment.
Fig. 2 is a schematic system configuration diagram of the embodiment.
Fig. 3 is a schematic flow chart of the system working principle according to the embodiment.
Detailed Description
For the purpose of making the technical solution and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings and examples. It should be understood that the particular embodiments described herein are illustrative only and are not intended to limit the invention, i.e., the embodiments described are merely some, but not all, of the embodiments of the invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by a person skilled in the art without making any inventive effort, are intended to be within the scope of the present invention. It is noted that relational terms such as "first" and "second", and the like, are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.
Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
Examples:
in the whole development and production of loom equipment, the structure of the crimping mechanism is different. In the prior art, part of loom equipment (shown in figure 1) is provided with a pressing plate at a crimping mechanism at the left end part, and the pressing plate applies pressure to the carbon fiber preform when the carbon fiber preform is led away from a fabric forming area, so that each bundle of carbon fibers is clamped, the carbon fiber preform is prevented from sliding, and the preform is quickly and conveniently replaced when cut. However, during the specific operation, we found that there was an abnormal portion of the thickness of the carbon fiber preform that was guided away from the fabric forming zone, thereby affecting the preparation and performance of the subsequent composite material. Moreover, if the carbon fiber preform is too thick, damage may be caused to the pressing plate and the fixing member thereof, and if the pressing plate and the fixing member are not found and processed in time, potential safety hazards are easily caused.
Therefore, as shown in fig. 2, a thickness monitoring system of a high-thickness flat-plate textile machine is proposed, which comprises a textile thickness measuring device, an image acquisition and detection device, a pressing plate gap detection device, a pressing plate deformation detection device, a fixing piece loosening detection device and a main control device; the main control device is respectively connected with the fabric thickness measuring device, the image acquisition and detection device, the pressing plate gap detection device, the pressing plate deformation detection device and the fixing piece loosening detection device;
the fabric thickness measuring device is used for measuring thickness data of the carbon fiber preform in real time, recording the thickness data as real-time thickness data, and judging whether the real-time thickness data is matched with standard thickness data of the carbon fiber preform or not;
the image acquisition and detection device is used for acquiring image data of the carbon fiber preform in real time, recording the image data as real-time image data, carrying out recognition analysis on the real-time image data to obtain accurate thickness data, and judging whether the accurate thickness data exceeds an acceptable error range of the carbon fiber preform;
the pressure plate gap detection device is used for detecting whether the gap distance between the bottom of the pressure plate and the top of the frame is abnormal or not;
the pressing plate deformation detection device is used for detecting whether the pressing plate is deformed abnormally or not;
the fixing piece loosening detection device is used for detecting whether the fixing piece of the pressing plate is abnormal in loosening or not.
In the scheme, the thickness data of the carbon fiber preform led out of the fabric forming area can be timely detected through the fabric thickness measuring device and the image acquisition and detection device, so that the thickness of the carbon fiber preform led out of the fabric forming area is ensured to be in a reasonable range, and the requirement of paving the prepreg in the subsequent composite material manufacturing process can be met; the clamp plate clearance detection device, the clamp plate deformation detection device and the fixing piece loosening detection device can timely detect the damage of the clamp plate, the fixing piece and the like, and production safety accidents caused by unknowing staff are avoided.
Further, as shown in fig. 3, the main control device controls the fabric thickness measuring device to be normally opened, and controls the image acquisition detecting device, the pressing plate gap detecting device, the pressing plate deformation detecting device and the fixing piece loosening detecting device to be normally closed;
if the fabric thickness measuring device judges that the real-time thickness data is not matched with the standard thickness data of the carbon fiber preform, the main control device controls the image acquisition and detection device to be started;
if the image acquisition and detection device judges that the accurate thickness data exceeds the acceptable error range of the carbon fiber preform and the accurate thickness data is larger than the standard thickness data, the main control device controls the platen gap detection device to be started;
if the pressure plate gap detection device detects that the gap distance between the bottom of the pressure plate and the top of the shelf is abnormal, the main control device controls the pressure plate deformation detection device to be started;
if the pressing plate deformation detection device detects that the pressing plate is not deformed abnormally, the main control device controls the fixing piece loosening detection device to be started.
In the scheme, the fabric thickness measuring device, the image acquisition detecting device, the pressing plate gap detecting device, the pressing plate deformation detecting device and the fixing piece loosening detecting device are orderly matched for starting, so that the excessive detecting devices can be prevented from being in an invalid action state for a long time. The thickness detection of the carbon fiber preform is divided into two links of a fabric thickness measuring device and an image acquisition and detection device; the thickness measuring device of the fabric can select a thickness measuring instrument to perform preliminary thickness detection, when the thickness abnormality is detected initially, the thickness abnormality is detected accurately through the image acquisition detecting device, and in the fine detection process, if the thickness deviation is judged to be within an acceptable error range (set according to the subsequent application field of the carbon fiber preform of the current batch), the current thickness abnormality is ignored; the reliability of the thickness detection result can be ensured in the double detection links; and the thickness measuring instrument is lower in equipment price and equipment energy consumption compared with the image acquisition and detection device, and is more suitable for long-term action, so that the scheme is designed to trigger the image acquisition and detection device according to the measurement result of the fabric thickness measuring device. To the circumstances that the actual thickness of carbon fiber perform is too big and probably causes clamp plate and mounting to damage, this scheme is analyzed according to clamp plate mechanical structure and clamp plate rigidity atress condition, by clamp plate clearance detection device's testing result for triggering the condition, triggers in proper order and starts clamp plate deformation detection device, mounting and become flexible detection device, carries out accurate detection location to the unusual that probably exists.
Further, the system also comprises an abnormality visualization device, wherein the abnormality visualization device is connected with the main control device.
Further, if the image acquisition and detection device judges that the accurate thickness data exceeds the acceptable error range of the carbon fiber preform and the accurate thickness data is larger than the standard thickness data, the main control device controls the abnormality visualization device to warn that the fabric thickness data is abnormal;
if the pressure plate gap detection device detects that the gap distance between the bottom of the pressure plate and the top of the frame is abnormal, the main control device controls the abnormality visualization device to warn that the gap distance is abnormal;
if the pressing plate deformation detection device detects that the pressing plate is deformed abnormally, the main control device controls the abnormality visualization device to warn that the pressing plate is deformed abnormally;
if the fixing piece loosening detection device detects that the fixing piece of the pressing plate is abnormal in loosening, the main control device controls the abnormal visualization device to warn that the fixing piece is abnormal in loosening.
In the scheme, the abnormal conditions detected by the detection devices are timely and visually displayed through the abnormal visual device, so that reference of relevant staff (or overhaulers) on the factory building site is facilitated.
However, since the high-thickness flat fabric loom has a certain vibration phenomenon during the daily operation, if the fixing member between the platen gap detection device and the high-thickness flat fabric loom is damaged in such a long-time vibration environment, the vibration phenomenon of the platen gap detection device is aggravated, and the erroneous judgment of the detection result of the platen gap detection device may occur.
Further, when the platen gap detection device is fixedly arranged on the high-thickness flat textile machine, the thickness monitoring system further comprises a vibration detection device, and the vibration detection device is connected with the main control device;
the vibration detection device is used for detecting the real-time vibration intensity of the pressing plate gap detection device and judging whether the real-time vibration intensity exceeds a preset vibration intensity range or not;
wherein the main control device controls the vibration detection device to be normally closed;
if the image acquisition and detection device judges that the accurate thickness data exceeds the acceptable error range of the carbon fiber preform and the accurate thickness data is larger than the standard thickness data, the main control device controls the vibration detection device to be started;
and if the vibration detection device judges that the real-time vibration intensity does not exceed the preset vibration intensity range, the main control device controls the pressure plate gap detection device to be started.
In the scheme, the detection result of the vibration detection device can ensure the effective action environment of the pressure plate gap detection device, improve the reliability of the detection result of the pressure plate gap detection device and avoid the situation of misjudgment caused by equipment faults.
Further, when the platen gap detection device is movably arranged in a factory where the high-thickness flat textile machine is located, the thickness monitoring system further comprises a position adjustment device, and the position adjustment device is connected with the main control device;
the position adjusting device is used for moving the position of the pressing plate gap detecting device;
wherein the main control device controls the position adjusting device to be normally closed;
if the pressure plate gap detection device detects that the gap distance between the bottom of the pressure plate and the top of the rack is abnormal, the main control device controls the position adjustment device to be started;
and if the position adjusting device moves the position of the pressing plate gap detecting device, the pressing plate gap detecting device still detects that the gap distance between the bottom of the pressing plate and the top of the frame is abnormal, and the main control device controls the pressing plate deformation detecting device to be started.
In the above scheme, since the platen gap detection device is movably arranged in the factory where the high-thickness flat fabric loom is located, if the platen gap detection device is started, sundries or related staff in the factory are just temporarily located between the platen gap detection device and the high-thickness flat fabric loom, the false judgment of the detection result of the platen gap detection device may occur; therefore, the position adjusting device is required to be designed to move the position of the pressing plate gap detecting device, so that the interference of sundries or related staff in a factory is avoided.
Further, in the image acquisition and detection device, capturing the real-time image data of the carbon fiber preform by a three-coordinate scanning method, and inputting the real-time image data into a neural network model for identifying thickness, thereby outputting the accurate thickness data;
the input data and the output data of the neural network model during training are obtained from the historical data of the carbon fiber preform of the leading-out fabric forming area in the historical operation process.
In the scheme, the installation position of the image acquisition and detection device can be positioned on the plane where the carbon fiber preform is positioned on the loom, so that the image data of the carbon fiber preform can be captured more accurately by a three-coordinate scanning method. And the captured image data of the carbon fiber preform can be subjected to three-dimensional modeling display through a data visualization device.
Further, the loom remote data interaction system also comprises a wireless communication device and a remote monitoring end, wherein the main control device is connected with the remote monitoring end through the wireless communication device in a network manner, so that remote data interaction between the loom site end and the remote monitoring end is realized.
A thickness monitoring method of the high-thickness flat fabric loom is also provided, and the thickness monitoring system of the high-thickness flat fabric loom is adopted for thickness monitoring.
A storage medium is also proposed, on which a computer program is stored, which computer program, when run, performs a method for monitoring the thickness of a high-thickness flat textile machine as described above.
The above is a preferred embodiment of the present invention, and all changes made according to the technical solution of the present invention belong to the protection scope of the present invention when the generated functional effects do not exceed the scope of the technical solution of the present invention.
Claims (9)
1. The thickness monitoring system of the high-thickness flat fabric loom is characterized by comprising a fabric thickness measuring device, an image acquisition and detection device, a pressing plate gap detection device, a pressing plate deformation detection device, a fixing piece loosening detection device and a main control device; the main control device is respectively connected with the fabric thickness measuring device, the image acquisition and detection device, the pressing plate gap detection device, the pressing plate deformation detection device and the fixing piece loosening detection device;
the fabric thickness measuring device is used for measuring thickness data of the carbon fiber preform in real time, recording the thickness data as real-time thickness data, and judging whether the real-time thickness data is matched with standard thickness data of the carbon fiber preform or not;
the image acquisition and detection device is used for acquiring image data of the carbon fiber preform in real time, recording the image data as real-time image data, carrying out recognition analysis on the real-time image data to obtain accurate thickness data, and judging whether the accurate thickness data exceeds an acceptable error range of the carbon fiber preform;
the pressure plate gap detection device is used for detecting whether the gap distance between the bottom of the pressure plate and the top of the frame is abnormal or not;
the pressing plate deformation detection device is used for detecting whether the pressing plate is deformed abnormally or not;
the fixing piece loosening detection device is used for detecting whether the fixing piece of the pressing plate is abnormal in loosening or not;
the main control device controls the fabric thickness measuring device to be normally opened, and controls the image acquisition detecting device, the pressing plate gap detecting device, the pressing plate deformation detecting device and the fixing piece loosening detecting device to be normally closed;
if the fabric thickness measuring device judges that the real-time thickness data is not matched with the standard thickness data of the carbon fiber preform, the main control device controls the image acquisition and detection device to be started;
if the image acquisition and detection device judges that the accurate thickness data exceeds the acceptable error range of the carbon fiber preform and the accurate thickness data is larger than the standard thickness data, the main control device controls the platen gap detection device to be started;
if the pressure plate gap detection device detects that the gap distance between the bottom of the pressure plate and the top of the shelf is abnormal, the main control device controls the pressure plate deformation detection device to be started;
if the pressing plate deformation detection device detects that the pressing plate is not deformed abnormally, the main control device controls the fixing piece loosening detection device to be started.
2. The thickness monitoring system for a high-thickness flat panel textile machine according to claim 1, further comprising an abnormality visualization device connected to the main control device.
3. The thickness monitoring system of high-thickness flat-panel textile machine according to claim 2, wherein if the image acquisition and detection device judges that the accurate thickness data exceeds the acceptable error range of the carbon fiber preform and the accurate thickness data is larger than the standard thickness data, the main control device controls the abnormality visualization device to warn that the textile thickness data is abnormal;
if the pressure plate gap detection device detects that the gap distance between the bottom of the pressure plate and the top of the frame is abnormal, the main control device controls the abnormality visualization device to warn that the gap distance is abnormal;
if the pressing plate deformation detection device detects that the pressing plate is deformed abnormally, the main control device controls the abnormality visualization device to warn that the pressing plate is deformed abnormally;
if the fixing piece loosening detection device detects that the fixing piece of the pressing plate is abnormal in loosening, the main control device controls the abnormal visualization device to warn that the fixing piece is abnormal in loosening.
4. A thickness monitoring system for a high-thickness flat fabric loom according to claim 3, wherein when said platen gap detecting device is fixedly provided on the high-thickness flat fabric loom, said thickness monitoring system further comprises a vibration detecting device connected to said main control device;
the vibration detection device is used for detecting the real-time vibration intensity of the pressing plate gap detection device and judging whether the real-time vibration intensity exceeds a preset vibration intensity range or not;
wherein the main control device controls the vibration detection device to be normally closed;
if the image acquisition and detection device judges that the accurate thickness data exceeds the acceptable error range of the carbon fiber preform and the accurate thickness data is larger than the standard thickness data, the main control device controls the vibration detection device to be started;
and if the vibration detection device judges that the real-time vibration intensity does not exceed the preset vibration intensity range, the main control device controls the pressure plate gap detection device to be started.
5. A thickness monitoring system for a high-thickness flat fabric loom according to claim 3, further comprising a position adjusting device connected to said main control device when said platen gap detecting device is movably provided in a factory where the high-thickness flat fabric loom is located;
the position adjusting device is used for moving the position of the pressing plate gap detecting device;
wherein the main control device controls the position adjusting device to be normally closed;
if the pressure plate gap detection device detects that the gap distance between the bottom of the pressure plate and the top of the rack is abnormal, the main control device controls the position adjustment device to be started;
and if the position adjusting device moves the position of the pressing plate gap detecting device, the pressing plate gap detecting device still detects that the gap distance between the bottom of the pressing plate and the top of the frame is abnormal, and the main control device controls the pressing plate deformation detecting device to be started.
6. The thickness monitoring system of high-thickness flat-panel textile machine according to claim 1, wherein in the image acquisition and detection device, the real-time image data of the carbon fiber preform is captured by a three-coordinate scanning method, and the real-time image data is input to a neural network model for identifying thickness, so that the accurate thickness data is output;
the input data and the output data of the neural network model during training are obtained from the historical data of the carbon fiber preform of the leading-out fabric forming area in the historical operation process.
7. The thickness monitoring system for a high-thickness flat fabric loom according to claim 1, further comprising a wireless communication device and a remote monitoring terminal, wherein said main control device is network-connected with said remote monitoring terminal through said wireless communication device.
8. A method for monitoring the thickness of a high-thickness flat-bed textile machine, characterized in that the thickness monitoring is carried out by using the thickness monitoring system of the high-thickness flat-bed textile machine according to any one of claims 1 to 7.
9. A storage medium having a computer program stored thereon, which when executed performs the thickness monitoring method of a high-thickness flat textile machine according to claim 8.
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