Laboratory anticorrosive coating peel strength sample preparation automatic cutting system

Abstract

The invention belongs to the field of petroleum drilling and production equipment, particularly relates to an automatic cutting system for laboratory anticorrosive coating peel strength sample preparation, and aims to solve the problems that in the prior art, a sharp cutter is extremely easy to cause personal injury, the cutting quality of a test piece anticorrosive coating test strip is unstable, the number of test pieces is large, consumed time is long, and labor intensity is high. The detection module is configured to detect whether a blade exists or not, the distance between a cutting knife and a test piece and the walking position of the cutting knife; the execution module is configured to convey the test piece to a cutting knife station and cut an anti-corrosion layer; the parameter adjusting module is used for acquiring the parameters detected by the detection module and adjusting the parameters of the execution module, sending the parameters to the parameter adjusting module and outputting an adjusting signal; the driving module is connected with the parameter adjusting module and the execution module, and the driving module is used for acquiring an adjusting signal output by the parameter adjusting module and sending the adjusting signal to the execution module. According to the invention, the risk of accidents is reduced, and the reliability and repeatability of experimental results are improved.

Description

Technical Field

[0001] This invention belongs to the field of oil drilling and production equipment, and specifically relates to an automatic cutting system for preparing laboratory anti-corrosion coating peel strength samples. Background Technology

[0002] According to GB / T23257-2017 "Polyethylene Anticorrosion Coating for Buried Steel Pipelines", laboratory testing of the performance of heat shrinkable tape is required, including a peel strength test of the anticorrosion coating. Before testing, peel strength test specimens must be prepared. In preparing the peel strength test specimens, the on-site patched pipe section must first be transported to the laboratory and processed into 120mm*120mm test pieces with varying curvatures. Then, the anticorrosion coating of the test piece is cut into a test strip approximately 20mm wide using a cutter. Finally, a force gauge is used to test the peel strength of the anticorrosion coating.

[0003] This method of cutting test strips has many problems: 1) The cutter is sharp and can easily cause personal injury; 2) The cutting quality of the test strips for the anti-corrosion layer of the specimen is unstable; 3) The number of specimens is large, which is time-consuming and labor-intensive.

[0004] Based on this, the present invention proposes an automatic cutting system for preparing laboratory anti-corrosion layer peel strength samples. Summary of the Invention

[0005] To address the aforementioned problems in the prior art, namely the sharpness of the cutting blades which can easily cause personal injury, the unstable cutting quality of the test strips for the anti-corrosion layer of the specimens, and the large number of specimens, resulting in long processing times and high labor intensity, this invention provides an automatic cutting system for preparing laboratory anti-corrosion layer peel strength samples. This system includes a detection module, an execution module, a parameter acquisition module, a parameter adjustment module, and a drive module.

[0006] The detection module is configured to detect the presence of the blade, the distance between the cutter and the test piece, and the movement position of the cutter.

[0007] The execution module is configured to convey the test piece to the cutting blade station and cut the anti-corrosion layer;

[0008] The parameter acquisition module is connected to the detection module, the execution module, and the parameter adjustment module. The parameter adjustment module is used to acquire the parameters detected by the detection module and adjust the parameters of the execution module, and send them to the parameter adjustment module. The parameter adjustment module performs deviation calculation on the received parameters and outputs an adjustment signal.

[0009] The drive module is connected to the parameter adjustment module and the execution module. The drive module is used to obtain the adjustment signal output by the parameter adjustment module and send it to the execution module.

[0010] In some preferred embodiments, the detection module includes a ranging sensor, a test piece presence / absence determination sensor, a first limit sensor, and a second limit sensor.

[0011] The distance sensor is used to detect the distance between the cutting blade and the test piece in real time, so that the cutting blade can automatically rise and fall with the curvature of the test piece;

[0012] The test piece presence or absence sensor is used to detect whether there is a test piece on the conveyor belt below the cutting blade;

[0013] The first limit sensor and the second limit sensor are used to limit the vertical movement of the cutting blade.

[0014] In some preferred embodiments, the execution module includes a chain drive motor, a cutting blade rotation motor, and a cutting device travel motor;

[0015] The chain drive motor is connected to the chain conveyor belt and is used to transport the test piece to the cutting knife station via the chain conveyor belt;

[0016] The output shaft of the rotary motor for the cutting blade is fixed coaxially with the cutting blade and is used to drive the cutting blade to rotate and cut the anti-corrosion layer of the test piece.

[0017] The motor of the cutting device is used to adjust the vertical distance between the cutting blade and the anti-corrosion layer of the test piece.

[0018] In some preferred embodiments, the parameter acquisition module includes an analog quantity acquisition module, a digital quantity acquisition module, and a parameter setting module;

[0019] The analog signal acquisition module is connected to the ranging sensor, and the analog signal acquisition module is used to receive the electrical signal of the detected distance in real time.

[0020] The switch quantity acquisition module is connected to the test piece presence / absence sensor, the first limit sensor, and the second limit sensor. The switch quantity acquisition module is used to receive electrical signals in real time to indicate whether there is a test piece on the surface and the position data of the cutting blade.

[0021] The parameter setting module is connected to the execution module and the parameter adjustment module. The parameter setting module is used to set the rotation speed of the chain drive motor, the cutting blade rotation motor and the cutting device walking motor, the distance between the distance sensor and the anti-corrosion layer of the test piece, and the thickness of the anti-corrosion layer of the test piece, and send the parameters to the parameter adjustment module.

[0022] In some preferred embodiments, the parameter adjustment module includes a data calculation module, a data transmission module, a data storage module, a data analysis module, and a control module;

[0023] The data calculation module is used to analyze and calculate the electrical signals of the parameters detected by each sensor in the received detection module, and to obtain the engineering value of each sensor.

[0024] The data transmission module is used to transmit the engineering values ​​to the data storage module in real time; the data storage module is used to accumulate and store the working parameters of the automatic cutting system for a long period of time.

[0025] The data analysis module is used to compare and analyze the settings information of the parameter setting module with the engineering values ​​calculated by the data calculation module, and calculate the deviation.

[0026] The control module is used to calculate the deviation obtained by the data analysis module and output the adjustment signal.

[0027] In some preferred embodiments, the parameter adjustment module further includes a data display module;

[0028] The data display module is connected to the detection module and the execution module. The data display module is used to display in real time the distance between the cutting blade and the test piece measured by the distance sensor, as well as the rotation speed of the chain drive motor, the cutting blade rotation motor and the cutting device walking motor.

[0029] In some preferred embodiments, the drive module includes a chain drive motor driver, a cutting blade rotation motor driver, and a cutting device walking motor driver;

[0030] The drive module is used to acquire the adjustment signal and automatically adjust the speed of the chain drive motor, the cutting blade rotary motor and the cutting device walking motor according to the adjustment signal.

[0031] In some preferred embodiments, the control module is a PID control module, which performs PID calculations on the calculated deviation to obtain an adjustment signal.

[0032] In some preferred embodiments, the system further includes a terminal connected to a data storage module, which views the engineering values ​​measured by each sensor in real time.

[0033] In some preferred embodiments, the terminal (15) includes at least a smartphone.

[0034] The beneficial effects of this invention are:

[0035] Improved safety: Traditional manual cutting methods use sharp blades, posing significant personal safety risks. This invention, however, employs an automated cutting system, reducing the operator's direct contact with the cutting tools and greatly lowering the risk of accidents.

[0036] Ensuring consistent cutting quality: The use of an automated control system allows for precise control of parameters such as cutting depth and width, avoiding inconsistencies caused by manual operation. This ensures that the quality and dimensions of each test strip are highly consistent, improving the reliability and repeatability of experimental results.

[0037] Improved work efficiency: The automated cutting system can operate continuously without frequent downtime for adjustments. Compared with the traditional manual cutting method, it greatly improves sample preparation efficiency, shortens experimental preparation time, and reduces labor costs.

[0038] Reduced labor intensity: Automated systems replace a large number of manual operations, especially when handling a large number of test pieces, which can significantly reduce the physical burden on workers and improve the working environment.

[0039] Enhanced system flexibility and adaptability: Through the design of parameter acquisition and parameter adjustment modules, the system can automatically adjust cutting parameters according to different types of test pieces (such as test pieces with different curvatures), thereby adapting to more types of experimental needs.

[0040] Facilitates data management and analysis: The system integrates data storage and analysis functions, which can save working parameters for a long time, allowing users to easily access historical data at any time. It also supports optimizing the cutting process through data analysis, further improving cutting quality and efficiency.

[0041] Easy to monitor and maintain: The system is equipped with terminal devices that allow remote monitoring of the working status and engineering values ​​of each sensor, which helps to identify and solve problems in a timely manner and ensure the stable operation of the system. Attached Figure Description

[0042] Other features, objects, and advantages of this application will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0043] Figure 1 This is a schematic diagram of the structural connection of an automatic cutting system for preparing laboratory anti-corrosion layer peel strength samples according to the present invention. Detailed Implementation

[0044] The present application will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the invention. Furthermore, it should be noted that, for ease of description, only the parts relevant to the invention are shown in the accompanying drawings.

[0045] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0046] like Figure 1 As shown, the present invention provides an automatic cutting system for preparing laboratory anti-corrosion coating peel strength samples. The system includes a detection module, an execution module, a parameter acquisition module, a parameter adjustment module, and a drive module.

[0047] The detection module is configured to detect the presence of the blade, the distance between the cutter and the test piece, and the movement position of the cutter.

[0048] The execution module is configured to convey the test piece to the cutting blade station and cut the anti-corrosion layer;

[0049] The parameter acquisition module is connected to the detection module, the execution module, and the parameter adjustment module. The parameter adjustment module is used to acquire the parameters detected by the detection module and adjust the parameters of the execution module, and send them to the parameter adjustment module. The parameter adjustment module calculates the deviation of the received parameters and outputs an adjustment signal.

[0050] The drive module is connected to the parameter adjustment module and the execution module. The drive module is used to obtain the adjustment signal output by the parameter adjustment module and send it to the execution module.

[0051] This invention uses a detection module to precisely detect the presence of the blade, the distance between the cutter and the test piece, and the position of the cutter's movement. This ensures high precision during the cutting process, avoids errors caused by improper human operation, and thus obtains more accurate experimental data.

[0052] The automated cutting system reduces the need for manual intervention and lowers the risk of operator injury. Simultaneously, the detection module monitors the equipment status in real time, immediately halting operation upon detecting abnormalities such as missing blades, further ensuring safety. The execution module automatically transports the sample to the cutting position and completes the cutting task, accelerating sample preparation and standardizing the entire process, thus improving laboratory efficiency.

[0053] The parameter acquisition module in this invention is connected to the detection, execution, and parameter adjustment modules, which can collect and process various parameter information in real time. After deviation analysis by the parameter adjustment module, the adjustment signal is output, realizing dynamic control of the cutting process. This ensures the cutting quality and also facilitates subsequent data analysis and troubleshooting.

[0054] As a further explanation of the present invention, such as Figure 1 As shown, the detection module includes a distance sensor 1, a test piece presence / absence determination sensor 2, a first limit sensor 3, and a second limit sensor 4;

[0055] The distance sensor 1 is used to detect the distance between the cutting blade and the test piece in real time, so that the cutting blade can automatically rise and fall with the curvature of the test piece;

[0056] The test piece presence / absence sensor 2 is used to detect whether there is a test piece on the conveyor belt below the cutting blade;

[0057] The first limit sensor 3 and the second limit sensor 4 are used to limit the vertical movement of the cutting blade.

[0058] The application of the precision distance sensor 1 in this invention enables real-time monitoring of the distance between the cutting blade and the specimen, ensuring that the cutting blade can automatically adjust its height according to changes in the surface shape of the specimen. This is crucial for maintaining a constant cutting depth, especially when processing specimens with complex surface structures, effectively avoiding over-cutting or under-cutting.

[0059] The presence or absence of a test piece in this invention is determined by the sensor 2, which ensures that the cutting action is initiated only when a test piece is actually present under the cutting blade. This avoids the occurrence of empty cuts or accidental cuts to other objects, thereby increasing the safety and reliability of the system.

[0060] The first limit sensor 3 and the second limit sensor 4 in this invention serve to set the maximum range of vertical movement of the cutting blade, preventing the cutting blade from colliding with other components or damaging the test piece due to loss of control. This physical limitation helps protect the equipment from damage and ensures the safety of the test piece.

[0061] Suppose researchers need to test the peel strength of anti-corrosion coatings on different materials in a laboratory setting. They can use the aforementioned automated cutting system to prepare standard test samples. The specific steps are as follows:

[0062] First, place the anti-corrosion coating sample to be tested on the conveyor belt.

[0063] After the sensor 2 confirms that the test piece is in place by checking whether the test piece is present, the system starts running.

[0064] During the cutting process, the distance sensor 1 continuously monitors the distance between the cutting blade and the test piece, ensuring that the cutting blade can move smoothly along the contour of the test piece to achieve precise cutting.

[0065] The first limit sensor 3 and the second limit sensor 4 monitor the upper and lower limit positions of the cutting blade to prevent any accidents from occurring.

[0066] After the cutting is completed, the system will automatically record relevant parameter information, such as cutting speed and pressure. This data is important for subsequent analysis.

[0067] As a further explanation of the present invention, such as Figure 1 The execution module shown includes a chain drive motor 5, a cutting blade rotation motor 6, and a cutting device travel motor 7;

[0068] The chain drive motor 5 is connected to the chain conveyor belt and is used to transport the test piece to the cutting knife station via the chain conveyor belt;

[0069] The output shaft of the cutting blade rotary motor 6 is fixed coaxially with the cutting blade and is used to drive the cutting blade to rotate and cut the anti-corrosion layer of the test piece.

[0070] The walking motor 7 of the cutting device is used to adjust the vertical distance between the cutting blade and the anti-corrosion layer of the test piece.

[0071] In this invention, the chain-driven motor 5 is connected to the chain conveyor belt, enabling stable and efficient transport of the test piece from the feed inlet to the cutting station. This design not only improves the reliability of test piece transport but also ensures that the test piece is in the same position before each cut, reducing the impact of human factors.

[0072] In this invention, the output shaft of the rotary motor 6 for the cutting blade is coaxially fixed with the cutting blade, enabling precise control of the cutting blade's rotation speed and force. This is particularly important for anti-corrosion layers made of different materials, as different materials may require different cutting speeds and forces to achieve optimal results. By adjusting the motor's speed, the requirements of various materials can be flexibly addressed.

[0073] In this invention, the walking motor 7 of the cutting device is used to adjust the vertical distance between the cutting blade and the anti-corrosion layer of the test piece. Combined with the distance measuring sensor in the detection module, the cutting blade can be dynamically adjusted according to the surface shape of the test piece. This not only ensures the consistency of the cutting depth but also avoids cutting quality problems caused by uneven test piece surfaces.

[0074] The specific steps are as follows:

[0075] Test piece preparation: Place the anti-corrosion coating test piece at the beginning of the chain conveyor belt.

[0076] Test piece transport: Start chain drive motor 5, and the chain conveyor belt will smoothly transport the test piece to the cutting blade station. Once the test piece presence sensor detects that the test piece has arrived in place, the system is ready to begin cutting.

[0077] Cutting process: The cutting blade rotary motor 6 starts, driving the cutting blade to rotate. While the cutting blade is rotating, the cutting device travel motor 7 dynamically adjusts the vertical distance between the cutting blade and the anti-corrosion layer of the test piece based on the information fed back by the distance measuring sensor, ensuring the consistency of the cutting depth.

[0078] If the surface of the test piece is curved or uneven, the walking motor of the cutting device will adjust the height of the cutting blade in real time to keep it in close contact with the surface of the test piece and ensure the cutting quality.

[0079] Cutting complete: After cutting is completed, the cutting blade stops rotating, and the test piece continues to move along the conveyor belt to the next station, ready for the next operation such as cleaning and drying.

[0080] The system records relevant parameters for this cut, such as cutting speed and pressure. This data can be used for subsequent analysis and optimization.

[0081] As a further explanation of the present invention, such as Figure 1 As shown, the parameter acquisition module includes an analog quantity acquisition module 8, a digital quantity acquisition module 9, and a parameter setting module 10;

[0082] The analog signal acquisition module 8 is connected to the ranging sensor 1, and the analog signal acquisition module 8 is used to receive the electrical signal of the detected distance in real time.

[0083] The switch quantity acquisition module 9 is connected to the test piece presence / absence judgment sensor 2, the first limit sensor 3, and the second limit sensor 4. The switch quantity acquisition module 9 is used to receive electrical signals in real time to determine whether there is a test piece and the position data of the cutting blade.

[0084] The parameter setting module 10 is connected to the execution module and the parameter adjustment module. The parameter setting module 10 is used to set the rotation speed of the chain drive motor 5, the cutting blade rotation motor 6 and the cutting device walking motor 7, the distance between the distance sensor 1 and the anti-corrosion layer of the test piece, and the thickness of the anti-corrosion layer of the test piece, and send these parameters to the parameter adjustment module.

[0085] The analog signal acquisition module 8 in this invention is connected to the distance sensor 1, enabling it to receive and process the distance signal detected by the distance sensor in real time. This ensures that the system can dynamically adjust the height of the cutting blade, maintaining a consistent cutting depth. The digital signal acquisition module 9 is connected to the test piece presence / absence sensor 2, the first limit sensor 3, and the second limit sensor 4, enabling it to receive the status signals from these sensors in real time. This helps the system respond promptly to the presence or absence of the test piece and the position of the cutting blade, ensuring the safety and reliability of the system.

[0086] The parameter setting module 10 of this invention is connected to the execution module and the parameter adjustment module, allowing users to set various parameters according to different experimental needs, such as the rotational speeds of the chain drive motor 5, the cutting blade rotation motor 6, and the cutting device travel motor 7, the distance between the distance sensor 1 and the anti-corrosion layer of the specimen, and the thickness of the anti-corrosion layer. The flexible setting of these parameters enables the system to adapt to specimens of different materials and thicknesses, improving the system's versatility and applicability. The parameter setting module 10 sends the set parameters to the parameter adjustment module, which calculates the deviation based on these parameters and outputs adjustment signals to ensure that all parameters remain in optimal condition during the cutting process. This not only improves the cutting accuracy but also ensures the reliability and consistency of the experimental results.

[0087] Suppose that a batch of anti-corrosion coating samples of different thicknesses and materials need to be tested for peel strength in the laboratory. The above-mentioned automatic cutting system can be used to prepare standard test samples. The specific steps are as follows:

[0088] Parameter settings: According to experimental requirements, set the following parameters through parameter setting module 10:

[0089] The speed of the chain-driven motor 5 is adjusted to ensure the smoothness and speed of the sample transport.

[0090] The rotation speed of the cutting blade rotary motor 6 is adjusted to meet the cutting needs of different materials.

[0091] The speed of the walking motor 7 of the cutting device is adjusted to dynamically adjust the height of the cutting blade.

[0092] The distance between the distance sensor 1 and the anti-corrosion layer of the test piece is measured to ensure the consistency of the cutting depth.

[0093] The thickness of the anti-corrosion layer on the test piece was determined to optimize the cutting parameters.

[0094] Test film preparation:

[0095] Place the anti-corrosion coating test piece at the beginning of the chain conveyor belt.

[0096] Test piece transmission:

[0097] The chain drive motor 5 is started, and the chain conveyor belt smoothly transports the test piece to the cutting blade station. After the test piece presence sensor 2 detects that the test piece is in place, the system prepares to start cutting.

[0098] Cutting process:

[0099] The cutting blade rotary motor 6 starts, driving the cutting blade to rotate. While the cutting blade is rotating, the cutting device travel motor 7 dynamically adjusts the vertical distance between the cutting blade and the anti-corrosion layer of the test piece based on the information fed back by the distance sensor 1, ensuring the consistency of the cutting depth.

[0100] The switch quantity acquisition module 9 monitors the status of the test piece in real time, including the presence or absence of the judgment sensor 2, the first limit sensor 3, and the second limit sensor 4, to ensure the safety and reliability of the cutting process.

[0101] The analog signal acquisition module 8 receives the distance signal detected by the distance sensor 1 in real time, ensuring that the cutting blade is always in contact with the surface of the test piece and avoiding cutting quality problems.

[0102] Cutting complete:

[0103] After cutting is completed, the cutting blade stops rotating, and the test piece continues to move along the conveyor belt to the next station, ready for the next operation such as cleaning and drying.

[0104] The system records relevant parameters for this cut, such as cutting speed and pressure. This data can be used for subsequent analysis and optimization.

[0105] As a further explanation of the present invention, such as Figure 1 As shown, the parameter adjustment module includes a data calculation module 12, a data transmission module 13, a data storage module 14, a data analysis module 16, and a control module 17;

[0106] The data calculation module 12 is used to analyze and calculate the electrical signals of the parameters detected by each sensor in the received detection module, and to obtain the engineering value of each sensor.

[0107] The data transmission module 13 is used to transmit the engineering values ​​to the data storage module 14 in real time; the data storage module 14 is used to accumulate and store the working parameters of the automatic cutting system for a long time.

[0108] The data analysis module 16 is used to compare and analyze the setting information of the parameter setting module 10 with the engineering values ​​calculated by the data calculation module 12, and calculate the deviation.

[0109] The control module 17 is used to calculate the deviation obtained by the data analysis module 16 and output the adjustment signal.

[0110] The control module 17 is a PID control module, which performs PID calculations on the calculated deviation to obtain an adjustment signal.

[0111] The computational data calculation module 12 in this invention can receive and analyze the electrical signals detected by each sensor in the detection module in real time to obtain the engineering values ​​of each sensor. This ensures that the system can acquire and process the latest detection data in a timely manner, providing an accurate basis for subsequent adjustments.

[0112] In this invention, the data transmission module 13 transmits the calculated engineering values ​​to the data storage module 14 in real time. The data storage module is responsible for accumulating and storing the operating parameters of the automatic cutting system long-term. This not only facilitates data backup and management but also provides rich historical data support for subsequent data analysis and troubleshooting.

[0113] The computational data analysis module 16 in this invention compares and analyzes the settings information of the parameter setting module 10 with the engineering values ​​calculated by the data calculation module 12 to calculate the deviation. This step ensures that the system can accurately identify the difference between the actual parameters and the set parameters, providing a scientific basis for adjustment.

[0114] The calculation and control module 17 in this invention employs a PID control module to perform PID calculations on the calculated deviation and output an adjustment signal. PID control is a classic feedback control method that can effectively reduce system response time and improve system stability and control accuracy. Through PID control, the system can quickly and accurately adjust various parameters during the cutting process, ensuring cutting quality and efficiency.

[0115] The PID control algorithm performs proportional (P), integral (I), and derivative (D) adjustments based on the magnitude and sign of the deviation, and sends the calculation results to the chain drive motor driver 18, the cutting blade rotary motor driver 19, and the cutting device travel motor driver 20. The PID control algorithm 17 is executed to achieve automatic speed adjustment of the chain drive motor 5, the cutting blade rotary motor 6, and the cutting device travel motor 7.

[0116] As a further explanation of the present invention, the parameter adjustment module also includes a data display module 11;

[0117] The data display module 11 is connected to the detection module and the execution module. The data display module 11 is used to display in real time the distance between the cutting blade and the test piece measured by the distance sensor 1, as well as the rotation speed of the chain drive motor 5, the cutting blade rotation motor 6 and the cutting device walking motor 7.

[0118] The data display module 11 in this invention can display in real time the distance between the cutting blade and the test piece measured by the distance sensor 1, as well as the rotational speeds of the chain drive motor 5, the cutting blade rotation motor 6, and the cutting device travel motor 7. This allows operators to understand key parameters during the cutting process in real time, identify problems promptly, and make adjustments.

[0119] The real-time data display provided by the display module in this invention makes the entire cutting process more transparent. Operators can intuitively see the execution status of each step, enhancing the operability and controllability of the system.

[0120] In this invention, when the system malfunctions, operators can quickly locate the problem through the data display module. For example, if the distance between the cutting blade and the test piece suddenly changes, or if the speed of a motor is abnormal, operators can take immediate measures to avoid greater losses.

[0121] The real-time data provided by the display module in this invention can help operators optimize cutting parameters. By observing and adjusting different parameters, the optimal cutting scheme can be found, improving cutting quality and efficiency.

[0122] As a further explanation of the present invention, such as Figure 1As shown, the drive module includes a chain drive motor driver 18, a cutting blade rotation motor driver 19, and a cutting device walking motor driver 20;

[0123] The drive module is used to acquire the adjustment signal and automatically adjust the speed of the chain drive motor 5, the cutting blade rotary motor 6 and the cutting device walking motor 7 according to the adjustment signal.

[0124] As a further explanation of the present invention, such as Figure 1 As shown, the system also includes a terminal 15, which is connected to the data storage module 14. The terminal 15 can view the engineering values ​​measured by each sensor in real time.

[0125] Specifically, terminal 15 can preferably be a mobile APP, installed on the mobile phones of managers and technicians. Using the 5G network, it can view the engineering values ​​measured by each sensor and the operation status of the automatic cutting system in real time, realizing remote tracking, supervision and management of the automatic cutting of the anti-corrosion layer of the test piece.

[0126] In the description of this invention, terms such as "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," which indicate direction or positional relationships, are based on the directions or positional relationships shown in the accompanying drawings. These are used merely for ease of description and do not indicate or imply that the device or element must have a specific orientation, or be constructed and operated in a specific orientation; therefore, they should not be construed as limitations on the invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0127] Furthermore, it should be noted that, in the description of this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0128] The term "comprising" or any other similar term is intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus / device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent in such process, method, article, or apparatus / device.

[0129] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

Claims

1. An automated cutting system for preparing laboratory anti-corrosion coating peel strength samples, characterized in that, The system includes a detection module, an execution module, a parameter acquisition module, a parameter adjustment module, and a drive module; The detection module is configured to detect the presence of the blade, the distance between the cutter and the test piece, and the movement position of the cutter. The execution module is configured to convey the test piece to the cutting blade station and cut the anti-corrosion layer; The parameter acquisition module is connected to the detection module, the execution module, and the parameter adjustment module. The parameter adjustment module is used to acquire the parameters detected by the detection module and adjust the parameters of the execution module, and send them to the parameter adjustment module. The parameter adjustment module performs deviation calculation on the received parameters and outputs an adjustment signal. The drive module is connected to the parameter adjustment module and the execution module. The drive module is used to obtain the adjustment signal output by the parameter adjustment module and send it to the execution module.

2. The automated cutting system for preparing laboratory anti-corrosion layer peel strength samples according to claim 1, characterized in that, The detection module includes a distance sensor (1), a test piece presence / absence judgment sensor (2), a first limit sensor (3), and a second limit sensor (4); The distance sensor (1) is used to detect the distance between the cutting blade and the test piece in real time, so that the cutting blade can automatically rise and fall with the curvature of the test piece; The test piece presence or absence sensor (2) is used to detect whether there is a test piece on the conveyor belt below the cutting blade; The first limit sensor (3) and the second limit sensor (4) are used to limit the position of the cutting blade moving up and down.

3. The automated cutting system for preparing laboratory anti-corrosion layer peel strength samples according to claim 2, characterized in that, The execution module includes a chain drive motor (5), a cutting blade rotation motor (6), and a cutting device walking motor (7); The chain drive motor (5) is connected to the chain conveyor belt and is used to transport the test piece to the cutting knife station via the chain conveyor belt. The output shaft of the cutting blade rotary motor (6) is fixed coaxially with the cutting blade and is used to drive the cutting blade to rotate and cut the anti-corrosion layer of the test piece. The walking motor (7) of the cutting device is used to adjust the vertical distance between the cutting blade and the anti-corrosion layer of the test piece.

4. The automated cutting system for preparing laboratory anti-corrosion layer peel strength samples according to claim 3, characterized in that, The parameter acquisition module includes an analog quantity acquisition module (8), a digital quantity acquisition module (9), and a parameter setting module (10); The analog signal acquisition module (8) is connected to the ranging sensor (1), and the analog signal acquisition module (8) is used to receive the electrical signal of the detected distance in real time; The switch acquisition module (9) is connected to the test piece presence / absence judgment sensor (2), the first limit sensor (3), and the second limit sensor (4). The switch acquisition module (9) is used to receive electrical signals in real time to indicate whether there is a test piece and the position data of the cutting blade. The parameter setting module (10) is connected to the execution module and the parameter adjustment module. The parameter setting module (10) is used to set the rotation speed of the chain drive motor (5), the cutting blade rotation motor (6) and the cutting device walking motor (7), the distance between the distance sensor (1) and the anti-corrosion layer of the test piece, and the thickness parameters of the anti-corrosion layer of the test piece, and send them to the parameter adjustment module.

5. The automated cutting system for preparing laboratory anti-corrosion layer peel strength samples according to claim 4, characterized in that, The parameter adjustment module includes a data calculation module (12), a data transmission module (13), a data storage module (14), a data analysis module (16), and a control module (17); The data calculation module (12) is used to analyze and calculate the electrical signals of the parameters detected by each sensor in the received detection module, and to obtain the engineering value of each sensor. The data transmission module (13) is used to transmit the engineering values ​​to the data storage module (14) in real time; the data storage module (14) is used to accumulate and store the working parameters of the automatic cutting system for a long time. The data analysis module (16) is used to compare and analyze the setting information of the parameter setting module (10) with the engineering values ​​calculated by the data calculation module (12) and calculate the deviation. The control module (17) is used to perform calculations on the deviations obtained by the data analysis module (16) and output adjustment signals.

6. The automated cutting system for preparing laboratory anti-corrosion layer peel strength samples according to claim 5, characterized in that, The parameter adjustment module also includes a data display module (11); The data display module (11) is connected to the detection module and the execution module. The data display module (11) is used to display in real time the distance between the cutting blade and the test piece measured by the distance sensor (1), as well as the rotation speed of the chain drive motor (5), the cutting blade rotation motor (6), and the cutting device walking motor (7).

7. The automated cutting system for preparing laboratory anti-corrosion layer peel strength samples according to claim 3, characterized in that, The drive module includes a chain drive motor driver (18), a cutting blade rotation motor driver (19), and a cutting device walking motor driver (20); The drive module is used to acquire the adjustment signal and automatically adjust the speed of the chain drive motor (5), the cutting blade rotary motor (6) and the cutting device walking motor (7) according to the adjustment signal.

8. The automated cutting system for preparing laboratory anti-corrosion layer peel strength samples according to claim 5, characterized in that, The control module (17) is a PID control module. The PID control module performs PID calculations on the calculated deviation to obtain an adjustment signal.

9. The automated cutting system for preparing laboratory anti-corrosion layer peel strength samples according to claim 5, characterized in that, The system also includes a terminal (15) connected to a data storage module (14), which views the engineering values ​​measured by each sensor in real time.

10. The automated cutting system for preparing laboratory anti-corrosion layer peel strength samples according to claim 9, characterized in that, The terminal (15) includes at least a smartphone.

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