Method for detecting internal pressure of drum sleeve and related equipment

Abstract

The invention discloses a drum sleeve internal pressure detection method and related equipment, relates to the field of coiling machine finished product coiling, and mainly aims to solve the problem that drum sleeve internal pressure detection still depends on disassembly measurement at present. The method comprises the steps that a strain signal is obtained based on a wireless strain node, and the wireless strain node is arranged on the inner wall of a winding drum sleeve; a strain signal and pressure mathematical model is established based on the principle of material mechanics, and the strain signal and pressure mathematical model is used for achieving conversion from a strain signal to a pressure value; and detecting the internal pressure value of the drum sleeve based on the strain signal and the strain signal and pressure mathematical model. The device is used for the drum sleeve internal pressure detection process.

Description

Technical Field

[0001] The present invention relates to the field of finished product coiling of a coiler, and particularly to a method for detecting the internal pressure of a coiler sleeve and related equipment. Background Art

[0002] In the production process of a cold-rolled silicon steel finished product line, the coiling of thin strip steel is one of the key processes related to product quality. The coiler mostly adopts a fan-shaped block structure of a quadrangular pyramid or a multi-pyramid. To ensure that no creases are generated in the inner circle of the steel coil, a sleeve is used as an outer protective part of the core component coiler drum of the coiler, which bears the strip steel tension and the complex stress generated by its own rotation. Once the sleeve ages and the internal pressure of the coiler drum is abnormal, it can lead to uneven coiling of the strip steel or the generation of wrinkles in the coiled strip steel, affecting the coiling quality and causing the steel coil to collapse, seriously affecting the market image of silicon steel products.

[0003] Regarding the detection of the internal pressure of the coiler sleeve, there is still no suitable pressure detection method at present. On-site, it is mostly an off-line detection of indirectly measuring the coiler drum diameter after removing the sleeve, and real-time monitoring cannot be achieved, and equipment abnormalities cannot be warned in time. Summary of the Invention

[0004] In view of the above problems, the present invention provides a method for detecting the internal pressure of a coiler sleeve and related equipment, mainly aiming to solve the problem that the detection of the internal pressure of the coiler sleeve still relies on disassembly measurement at present.

[0005] To solve the above at least one technical problem, in a first aspect, the present invention provides a method for detecting the internal pressure of a coiler sleeve, the method comprising:

[0006] Obtaining a strain signal based on a wireless strain node, wherein the wireless strain node is arranged on the inner wall of the coiler sleeve;

[0007] Establishing a mathematical model of strain signal and pressure based on the principle of mechanics of materials, wherein the mathematical model of strain signal and pressure is used to realize the conversion from strain signal to pressure value;

[0008] Detecting the internal pressure value of the coiler sleeve based on the strain signal and the mathematical model of strain signal and pressure.

[0009] Optionally, the wireless strain node is determined based on strain gauges at at least two radial positions and axial positions on the same straight line arranged on the inner wall of the coiler sleeve.

[0010] Optionally, the wireless strain node includes a sensor interface module, a signal conditioning module, a microcontroller, a wireless communication module, and a power supply module.

[0011] Optionally, the above method further comprises:

[0012] The strain gauge is a high-sensitivity foil strain gauge suitable for high-temperature and high-pressure environments, with a resistance value of 350 Ω and a sensitivity coefficient of 2.0.

[0013] Optionally, detecting the internal pressure value of the reel sleeve based on the strain signal and the mathematical model of the strain signal and pressure includes:

[0014] Obtaining a strain signal based on a wireless strain node;

[0015] Transmitting the strain signal to a central gateway based on LoRa technology, wherein the central gateway is connected to a server, and the server includes the mathematical model of the strain signal and pressure;

[0016] Determining the pressure value based on the strain signal through the mathematical model of the strain signal and pressure.

[0017] Optionally, the above method further includes:

[0018] Performing noise reduction processing on the pressure value based on the VMD decomposition algorithm.

[0019] Optionally, the above method further includes:

[0020] Setting a pressure threshold;

[0021] In the case where the pressure value is greater than or equal to the pressure threshold, an alarm is given.

[0022] In a second aspect, an embodiment of the present invention further provides a device for detecting the internal pressure of a reel sleeve, including:

[0023] An acquisition unit for acquiring a strain signal based on a wireless strain node, wherein the wireless strain node is arranged on the inner wall of the reel sleeve;

[0024] A building unit for building a mathematical model of the strain signal and pressure based on the principle of material mechanics, wherein the mathematical model of the strain signal and pressure is used to realize the conversion from the strain signal to the pressure value;

[0025] A detection unit for detecting the internal pressure value of the reel sleeve based on the strain signal and the mathematical model of the strain signal and pressure.

[0026] To achieve the above object, according to a third aspect of the present invention, there is provided a computer-readable storage medium, which includes a stored program, wherein when the above program is executed by a processor, the steps of the above method for detecting the internal pressure of a reel sleeve are realized.

[0027] To achieve the above object, according to the fourth aspect of the present invention, there is provided an electronic device, including at least one processor and at least one memory connected to the processor; wherein, the above-mentioned processor is used to call the program instructions in the above-mentioned memory and execute the steps of the above-mentioned internal pressure detection method of the reel sleeve.

[0028] With the above technical solution, for the problem that the current detection of the internal pressure of the reel sleeve still relies on disassembly measurement, the present invention obtains strain signals based on wireless strain nodes, wherein the wireless strain nodes are arranged on the inner wall of the reel sleeve; a mathematical model of strain signal and pressure is established based on the principle of material mechanics, wherein the mathematical model of strain signal and pressure is used to realize the conversion of strain signal to pressure value; the internal pressure value of the reel sleeve is detected based on the strain signal and the mathematical model of strain signal and pressure. In the above solution, the combination of strain gauges and wireless strain nodes is used to realize the real-time monitoring and early warning of the pressure fluctuation of the sleeve during the strip coiling process, and the internal pressure of the reel sleeve during the strip coiling process can be detected in real time and accurately, optimizing the problems of monitoring the pressure during the steel coil coiling process and warning the adaptation of the coiling tension, improving the coiling quality of thinner silicon steel materials, and providing early warning information of sleeve pressure fluctuation for the coiling tension fluctuation.

[0029] Correspondingly, the internal pressure detection device, equipment and computer-readable storage medium provided by the embodiments of the present invention also have the above technical effects.

[0030] The above description is only an overview of the technical solution of the present invention. In order to be able to understand the technical means of the present invention more clearly, it can be implemented according to the content of the specification. And in order to make the above and other objects, features and advantages of the present invention more obvious and understandable, the specific embodiments of the present invention are given below. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] By reading the detailed description of the preferred embodiments below, various other advantages and benefits will become clear to those of ordinary skill in the art. The drawings are only for the purpose of showing the preferred embodiments and are not considered to be a limitation of the present invention. And throughout the drawings, the same reference numerals are used to represent the same components. In the drawings:

[0032] Figure 1 A schematic flow chart of a method for detecting the internal pressure of a reel sleeve provided by an embodiment of the present invention is shown;

[0033] Figure 2 A schematic diagram of the installation position of a strain gauge provided by an embodiment of the present invention is shown

[0034] Figure 3Shows a schematic cross-sectional view of the position of the strain gauge provided by an embodiment of the present invention

[0035] Figure 4 Shows another schematic diagram of the position of the strain gauge provided by an embodiment of the present invention

[0036] Figure 5 Shows a schematic wiring diagram of the 1 / 4 bridge method of the strain gauge provided by an embodiment of the present invention

[0037] Figure 6 Shows a schematic wiring diagram of the half-bridge method of the strain gauge provided by an embodiment of the present invention

[0038] Figure 7 Shows a schematic diagram of the internal stress of the steel coil after uncoiling provided by an embodiment of the present invention;

[0039] Figure 8 Shows a schematic block diagram of the composition of a device for detecting the internal pressure of a reel sleeve provided by an embodiment of the present invention;

[0040] Figure 9 Shows a schematic block diagram of the composition of an electronic device for detecting the internal pressure of a reel sleeve provided by an embodiment of the present invention. Detailed implementation manners

[0041] The exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present invention are shown in the drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided so that the present invention can be more thoroughly understood and the scope of the present invention can be fully communicated to those skilled in the art.

[0042] To solve the problem that the current detection of the internal pressure of the reel sleeve still relies on disassembly measurement, an embodiment of the present invention provides a method for detecting the internal pressure of the reel sleeve, as Figure 1 shown, the method includes:

[0043] S101. Obtain a strain signal based on a wireless strain node, where the wireless strain node is disposed on the inner wall of the reel sleeve;

[0044] In one embodiment, the wireless strain node is determined based on strain gauges at the same straight line of at least two radial positions and axial positions disposed on the inner wall of the reel sleeve.

[0045] In one embodiment, the wireless strain node includes a sensor interface module, a signal conditioning module, a microcontroller, a wireless communication module, and a power module.

[0046] In one embodiment, the above method further includes:

[0047] The strain gauge is a high-sensitivity foil strain gauge suitable for high-temperature and high-pressure environments, with a resistance value of 350 Ω and a sensitivity coefficient of 2.0.

[0048] Exemplarily, the strain gauge is selected as a high-sensitivity foil strain gauge suitable for high-temperature and high-pressure environments, with a resistance value of 350 Ω and a sensitivity coefficient of 2.0.

[0049] The following provides two installation examples of the strain gauge:

[0050] Installation example one: As shown in Figure 2 and Figure 3 , strain gauges are pasted at four symmetric positions (0°, 90°, 180°, 270°) on the inner wall of the reel sleeve to obtain radial and axial strain data.

[0051] Installation example two: As shown in Figure 4 , strain gauges are pasted at the same straight line of the axial position on the inner wall of the reel sleeve (125 cm, 375 cm, 625 cm, 875 cm) to obtain axial strain data.

[0052] It should be noted that the pasting of the strain gauge requires strict surface treatment, using high-temperature glue for pasting and coating a high-temperature protection coating on the outside. The wiring diagram of the 1 / 4-bridge method of the strain gauge is shown in Figure 5 and the wiring diagram of the half-bridge method of the strain gauge is shown in Figure 6 .

[0053] Furthermore, an excitation voltage is provided through the sensor interface module to collect strain signals. The signal conditioning module is used to filter and amplify the signals. At the same time, a microcontroller (MCU) is used to process digital signals and control data acquisition and transmission. The wireless communication module combines LoRa technology to achieve long-distance and anti-interference wireless transmission. In terms of the power module, a high-capacity lithium battery is used, which has a power management function. In terms of the housing design, high-temperature and high-strength materials are used, and the protection level reaches IP65. In terms of the installation method, it is fixed to the outside of the reel through bolts, and the antenna part extends to ensure signal transmission.

[0054] It should be noted that regularly check the working status of the strain gauge and the wireless node to ensure the continuity of data acquisition. At the same time, regularly calibrate the system to maintain the accuracy of the strain-pressure conversion model.

[0055] S102. Establish a mathematical model of strain signal and pressure based on the principle of material mechanics, where the mathematical model of strain signal and pressure is used to realize the conversion of strain signal to pressure value;

[0056] It should be noted that after establishing a mathematical model, it must be verified and optimized. The verification process usually uses experimental data, comparing the pressure values calculated by the model with the actual measured values to evaluate the accuracy of the model. If a large error is found in the model, it needs to be optimized. Optimization methods include adjusting model parameters, introducing nonlinear correction terms, or using more complex mathematical models. Through continuous verification and optimization, the accuracy and reliability of the model can be gradually improved.

[0057] In practical applications, when establishing the mathematical model of the strain signal and pressure, various factors in the actual environment need to be considered. For example, temperature changes may affect the elastic modulus of the material, resulting in drift of the strain signal. Therefore, it is very necessary to introduce a temperature compensation mechanism into the model. In addition, the long-term stability and durability of the strain gauge also need to be considered. Especially when used in harsh environments, the performance of the strain gauge may change over time, so it needs to be calibrated and maintained regularly.

[0058] S103. Detect the internal pressure value of the drum sleeve based on the strain signal and the mathematical model of the strain signal and pressure.

[0059] In one embodiment, the detecting the internal pressure value of the drum sleeve based on the strain signal and the mathematical model of the strain signal and pressure includes:

[0060] Obtain the strain signal based on the wireless strain node;

[0061] Transmit the strain signal to the central gateway based on LoRa technology, where the central gateway is connected to a server, and the server contains the mathematical model of the strain signal and pressure;

[0062] Determine the pressure value based on the strain signal through the mathematical model of the strain signal and pressure.

[0063] Exemplarily, an excitation voltage is provided through a sensor interface module to collect the strain signal. A signal conditioning module is used to filter and amplify the signal. At the same time, a microcontroller (MCU) is used to process digital signals and control data acquisition and transmission. The wireless communication module combines LoRa technology to achieve long-distance and anti-interference wireless transmission. In terms of the power module, a high-capacity lithium battery is used, which has a power management function. In terms of the housing design, high-temperature and high-strength materials are used, and the protection level reaches IP65. In terms of the installation method, it is fixed to the outside of the drum by bolts, and the antenna part protrudes to ensure signal transmission.

[0064] Furthermore, the sampling rate of this application is set to 100Hz, which meets the requirements of real-time monitoring. In terms of data format, it is recorded in the form of timestamps, and the strain data is stored in digital form. In terms of wireless transmission, the wireless node transmits the data to the central gateway through the LoRa protocol, and the gateway is then connected to the data server through an Ethernet interface.

[0065] In one embodiment, the above method further includes:

[0066] Performing noise reduction processing on the pressure value based on the VMD decomposition algorithm.

[0067] Exemplarily, the data server of this application obtains the strain data from the central gateway through a written receiving program and stores it in the MySQL database. In order to achieve strain-pressure conversion, according to the principles of material mechanics, a mathematical model of strain and pressure is established, considering the Young's modulus and Poisson's ratio of the sleeve material. At the same time, an algorithm is written using Python to achieve the conversion of strain data to pressure values. In terms of data calibration, the system is calibrated under known pressure conditions to ensure the accuracy of the conversion. The calibrated data is processed through the VMD decomposition algorithm to achieve signal noise reduction operation.

[0068] In one embodiment, the above method further includes:

[0069] Setting a pressure threshold;

[0070] In the case where the pressure value is greater than or equal to the pressure threshold, an alarm is given.

[0071] For the convenience of users to understand and use, the calculation results of the mathematical model can be presented in the form of data visualization. For example, a user interface can be developed to display the strain signal and the corresponding pressure value in real time, and provide functions such as historical data query and analysis. In this way, users can not only monitor the pressure change in real time, but also perform trend analysis and fault diagnosis through historical data.

[0072] Based on the above considerations, monitoring software is developed to display the pressure values and change curves of each measuring point in real time. According to the equipment safety standards, the pressure threshold is set, and an alarm is triggered when the threshold is exceeded. The alarm methods include audible and visual alarms, SMS notifications, system pop-ups, etc. When the pressure is abnormal, the device is automatically triggered to stop urgently to ensure safety.

[0073] By integrating this mathematical model into an automated system and linking it with other sensors and control systems, real-time monitoring and automatic adjustment of pressure can be achieved.

[0074] The following shows a specific embodiment implemented by this application:

[0075] A paper sleeve with an inner diameter of 510 mm and a thickness of 10 mm is used as the basis for attaching strain gauges.

[0076] High-sensitivity foil strain gauges suitable for high-temperature and high-pressure environments are selected, with a resistance value of 350 Ω and a sensitivity coefficient of 2.0. As Figure 2 and Figure 3 shown, strain gauges are pasted at four symmetric positions (0°, 90°, 180°, 270°) on the inner wall of the reel sleeve to obtain radial and axial strain data.

[0077] High-sensitivity foil strain gauges suitable for high-temperature and high-pressure environments are selected, with a resistance value of 350 Ω and a sensitivity coefficient of 2.0. As Figure 4 shown, strain gauges are pasted at the same straight-line positions (125 cm, 375 cm, 625 cm, 875 cm) in the axial direction on the inner wall of the reel sleeve to obtain axial strain data.

[0078] The pasting of strain gauges requires strict surface treatment, using high-temperature glue for pasting and coating a high-temperature protection coating on the outside. The wiring diagram of the 1 / 4-bridge method for strain gauges is shown in Figure 5 and the wiring diagram of the half-bridge method for strain gauges is shown in Figure 6 .

[0079] This sleeve is directly installed on the reel shaft of the coiler. When the reel is opened, it is ensured that the paper sleeve is in effective contact with the reel segment blocks. Pressure values will appear on each strain gauge, and the initial value of the strain gauge is set to zero;

[0080] The strip steel is wound around the paper sleeve of the coiler through the coiling belt, and the pressure values formed by the belt coiling tension on the sleeve and the strip steel are detected and recorded at this time;

[0081] The belt coiling device is opened. After the strip steel builds up tension, the reel starts to rotate. The pressure values formed by the strip steel on the reel are detected and recorded through the strain gauges at this time; observe the stress change values from less to more for each layer of strip steel winding; according to the recorded pressure change values, establish a coiling model with the corresponding coiling parameters of motor current, torque, and strip steel speed; achieve actual tracking and monitoring.

[0082] During the detection process, the strain data of each strain gauge at different positions are recorded, including the radial and axial strain changes. After installing the strain gauges on the reel shaft and ensuring effective contact, the initial values of each strain gauge are measured. The pressure values are obtained using the strain-pressure conversion model. Data preprocessing is realized through signal decomposition methods to achieve abnormal monitoring of the system. Figure 7 This is the internal stress diagram of the steel coil after uncoiling.

[0083] With the above technical solution, for the problem that the current detection of the internal pressure of the reel sleeve still relies on disassembly measurement, the internal pressure detection method of the reel sleeve provided by the present invention obtains strain signals based on wireless strain nodes, wherein the wireless strain nodes are arranged on the inner wall of the reel sleeve; establishes a mathematical model of strain signals and pressure based on the principle of material mechanics, wherein the mathematical model of strain signals and pressure is used to realize the conversion of strain signals to pressure values; and detects the internal pressure value of the reel sleeve based on the strain signals and the mathematical model of strain signals and pressure. In the above solution, the combination of strain gauges and wireless strain nodes is used to realize the real-time monitoring and early warning of the pressure fluctuations of the sleeve during the strip coiling process, and can detect the internal pressure of the reel sleeve during the strip coiling process in real time and accurately, optimize the problems of monitoring the pressure during the steel coil coiling process and warning the adaptation of the coiling tension, improve the coiling quality of thinner silicon steel materials, and provide early warning information of sleeve pressure fluctuations for coiling tension fluctuations.

[0084] Further, as an implementation of the above Figure 1 shown method, the embodiment of the present invention also provides an internal pressure detection device for a reel sleeve, which is used to implement the above Figure 1 shown method. The device embodiment corresponds to the foregoing method embodiment. For the convenience of reading, the details of the foregoing method embodiment will not be repeated one by one in this device embodiment, but it should be clear that the device in this embodiment can correspondingly implement all the contents of the foregoing method embodiment. As Figure 8 shown, the device includes: an acquisition unit 21, a establishment unit 22, and a detection unit 23, wherein:

[0085] The acquisition unit 21 is configured to acquire strain signals based on wireless strain nodes, wherein the wireless strain nodes are arranged on the inner wall of the reel sleeve;

[0086] The establishment unit 22 is configured to establish a mathematical model of strain signals and pressure based on the principle of material mechanics, wherein the mathematical model of strain signals and pressure is used to realize the conversion of strain signals to pressure values;

[0087] The detection unit 23 is configured to detect the internal pressure value of the reel sleeve based on the strain signals and the mathematical model of strain signals and pressure.

[0088] The processor contains a kernel, and the kernel retrieves the corresponding program units from the memory. One or more kernels can be set, and by adjusting the kernel parameters, an internal pressure detection method for a reel sleeve can be realized, which can solve the problem that the current detection of the internal pressure of the reel sleeve still relies on disassembly measurement.

[0089] An embodiment of the present invention provides a computer-readable storage medium. The computer-readable storage medium includes a stored program, and when the program is executed by a processor, the internal pressure detection method of the reel sleeve is implemented.

[0090] An embodiment of the present invention provides a processor. The processor is used to run a program, and when the program runs, the internal pressure detection method of the reel sleeve is executed.

[0091] An embodiment of the present invention provides an electronic device. The electronic device includes at least one processor and at least one memory connected to the processor. Wherein, the processor is used to call program instructions in the memory to execute the internal pressure detection method of the reel sleeve as described above.

[0092] An embodiment of the present invention provides an electronic device 30, as Figure 9 shown. The electronic device includes at least one processor 301, at least one memory 302 connected to the processor, and a bus 303. Wherein, the processor 301 and the memory 302 complete communication with each other through the bus 303. The processor 301 is used to call program instructions in the memory to execute the internal pressure detection method of the reel sleeve as described above.

[0093] The intelligent electronic device in this article can be a PC, a PAD, a mobile phone, etc.

[0094] The present application also provides a computer program product. When executed on a process management electronic device, it is suitable for executing a program initialized with the steps of the internal pressure detection method of the reel sleeve.

[0095] It should be noted that in the above embodiments, the descriptions of the respective embodiments have their own emphases. For parts not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0096] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memories, CD-ROMs, optical memories, etc.) containing computer-usable program codes.

[0097] This application is described with reference to the flowcharts and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram, and the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, special-purpose computer, embedded computer, or other programmable data processing device to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing device generate a means for implementing the functions specified in one or more flows and / or blocks Figure 1 in one or more flows and / or blocks Figure 1 or in one or more blocks.

[0098] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to operate in a specific manner, such that the instructions stored in the computer-readable memory generate a manufacture including an instruction means that implements the functions specified in one or more flows and / or blocks Figure 1 in one or more flows and / or blocks Figure 1 or in one or more blocks.

[0099] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operational steps are executed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more flows and / or blocks Figure 1 in one or more flows and / or blocks Figure 1 or in one or more blocks.

[0100] Embodiments of the present application also provide a computer program product, which includes computer software instructions. When the computer software instructions run on a processing device, the processing device is caused to execute the processes such as Figure 1 the control of the memory in the corresponding embodiment.

[0101] A computer program product includes one or more computer instructions. When the computer instructions are loaded and executed on a computer, the processes or functions according to the embodiments of the present application are generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions may be transmitted from a website, computer, server, or data center to another website, computer, server, or data center in a wired manner (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or a wireless manner (such as infrared, wireless, microwave, etc.). The computer-readable storage medium may be any available medium that can be stored by a computer or a data storage device such as a server or data center that includes one or more integrated available media. The available medium may be a magnetic medium (such as a floppy disk, hard disk, magnetic tape), an optical medium (such as a DVD), or a semiconductor medium (such as a solid state disk (SSD)), etc.

[0102] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the above-described systems, devices, and units can refer to the corresponding processes in the foregoing method embodiments and will not be described herein again.

[0103] In several embodiments provided in the present application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of units is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other may be indirect couplings or communication connections through some interfaces, devices, or units, and may be in electrical, mechanical, or other forms.

[0104] The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0105] In addition, in each embodiment of the present application, each functional unit can be integrated into a processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

[0106] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods in each embodiment of the present application. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs that can store program codes.

[0107] The above embodiments are only used to illustrate the technical solutions of the present application and are not intended to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of each embodiment of the present application.

Claims

1. A method for detecting the internal pressure of a reel sleeve, characterized in that: include: Acquiring a strain signal based on a wireless strain node, wherein the wireless strain node is arranged on the inner wall of the reel sleeve; A strain signal and pressure mathematical model is established based on the principle of material mechanics, wherein the strain signal and pressure mathematical model is used to realize the conversion of strain signal to pressure value; The internal pressure value of the winding sleeve is detected based on the strain signal and the strain signal and the pressure mathematical model.

2. The method according to claim 1, characterized in that The wireless strain node is determined based on strain gauges arranged at the same straight line at at least two radial positions and axial positions on the inner wall of the winding sleeve.

3. The method according to claim 2, characterized in that The wireless strain node includes a sensor interface module, a signal conditioning module, a microcontroller, a wireless communication module and a power supply module.

4. The method according to claim 2, characterized in that: Also includes: The strain gauge is a high-sensitivity foil strain gauge suitable for high temperature and high pressure environments, with a resistance value of 350Ω and a sensitivity coefficient of 2.

0.

5. The method according to claim 1, characterized in that The method of detecting the internal pressure value of the reel sleeve based on the strain signal and the strain signal and the pressure mathematical model includes: Acquiring strain signals based on wireless strain nodes; Transmitting the strain signal to a central gateway based on LoRa technology, wherein the central gateway is connected to a server, and the server contains the strain signal and a pressure mathematical model; A pressure value is determined based on the strain signal by using the strain signal and a pressure mathematical model.

6. The method according to claim 5, characterized in that Also includes: The pressure value is subjected to noise reduction processing based on a VMD decomposition algorithm.

7. The method according to claim 1, characterized in that Also includes: Set stress thresholds; When the pressure value is greater than or equal to the pressure threshold, an alarm is issued.

8. A device for detecting the internal pressure of a reel sleeve, characterized in that: Also includes: An acquisition unit, used for acquiring a strain signal based on a wireless strain node, wherein the wireless strain node is arranged on an inner wall of a reel sleeve; An establishing unit, used for establishing a strain signal and a pressure mathematical model based on the principle of material mechanics, wherein the strain signal and the pressure mathematical model are used for realizing the conversion of the strain signal into a pressure value; The detection unit is used to detect the internal pressure value of the winding sleeve based on the strain signal and the strain signal and the pressure mathematical model.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed by a processor, the steps of the method for detecting the internal pressure of the reel sleeve according to any one of claims 1 to 7 are implemented.

10. An electronic device, characterized in that: The electronic device includes at least one processor and at least one memory connected to the processor; wherein the processor is used to call program instructions in the memory to execute the steps of the reel sleeve internal pressure detection method as described in any one of claims 1 to claim 7.

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