A loom control system anomaly detection method, device, equipment and medium

Abstract

The application discloses a loom control system anomaly detection method, device, equipment and medium, and relates to the technical field of intelligent detection, and comprises the following steps: detecting the warp yarn tension and the cloth surface tension on the target loom back beam based on a first tension sensor independently installed on the target loom back beam; converting the obtained target pressure signal into a signal by using a preset signal processing tool, and performing curve fitting on the obtained target pressure digital signal to obtain a pressure change dynamic curve; obtaining a to-be-detected pressure digital signal by using a second tension sensor connected to the control system on the target loom back beam; the first tension sensor and the second tension sensor are controlled by different independent power supplies; judging the to-be-detected pressure digital signal based on the pressure change dynamic curve, and determining the abnormal condition of the control system according to the judgment result. The change trend of the to-be-detected pressure digital signal is judged by using the pressure change dynamic curve, so that the abnormal condition of the control system is determined, and the loom quality is improved.

Description

Technical Field

[0001] This invention relates to the field of intelligent detection technology, and in particular to a method, apparatus, equipment and medium for detecting abnormalities in the control system of a loom. Background Technology

[0002] Currently, the control system of a loom includes the function of measuring the tension of the warp yarns and the fabric surface. However, the existing control system of a loom collects the tension of the warp yarns on the back beam at a single point, that is, on the left or right side of the back beam. The quality of this function varies with the differences in various components of the loom and the electrical components in the control system, which ultimately affects the quality of the fabric, resulting in defective fabric and production waste.

[0003] As can be seen from the above, how to detect anomalies in the control system of a loom is an urgent problem to be solved. Summary of the Invention

[0004] In view of this, the purpose of this invention is to provide a method, device, equipment, and medium for detecting abnormalities in the control system of a loom, which can effectively avoid the impact on fabric quality caused by differences in transmission effects between mechanical components, thereby saving production costs and improving fabric quality. The specific solution is as follows:

[0005] Firstly, this application provides a method for detecting abnormalities in the control system of a loom, comprising:

[0006] The target pressure signal is obtained by detecting the warp and fabric tension on the target loom rear beam using a first tension sensor independently installed on the target loom rear beam;

[0007] The target pressure signal is converted using a preset signal processing tool to obtain a corresponding target pressure digital signal, and the target pressure digital signal is then curve-fitted to obtain a dynamic pressure change curve.

[0008] The digital signal of the pressure to be detected, corresponding to the warp and fabric tension, is obtained by a second tension sensor connected to the control system on the back beam of the target loom; the first tension sensor and the second tension sensor are controlled by different independent power supplies;

[0009] The trend of the pressure change in the digital signal to be detected is judged based on the dynamic curve of pressure change, and the abnormal situation of the control system is determined according to the judgment result.

[0010] Optionally, the step of detecting the warp and fabric tension on the target loom back beam based on a first tension sensor independently installed on the target loom back beam to obtain a target pressure signal includes:

[0011] The tension of the warp yarns and fabric surface on the target loom rear beam is detected by a first tension sensor independently installed on the target loom rear beam to obtain the corresponding force signal. The force signal is then shaped, amplified, and converted to obtain the corresponding electrical signal, which is then determined as the target pressure signal.

[0012] Optionally, after performing signal conversion on the target pressure signal using a preset signal processing tool to obtain a corresponding target pressure digital signal, and performing curve fitting on the target pressure digital signal to obtain a dynamic pressure change curve, the method further includes:

[0013] The dynamic curve of pressure change is transmitted to a preset display device through a preset general communication interface or a preset wireless interface, so that the dynamic curve of pressure change can be displayed based on the preset display device.

[0014] Optionally, the first tension sensor is installed on the back beam of the target loom at the opposite side of the location of the second tension sensor.

[0015] Optionally, the step of judging the changing trend of the digital signal of the pressure to be detected based on the dynamic curve of pressure change, and determining the abnormal situation of the control system based on the judgment result, includes:

[0016] The trend of the pressure digital signal to be detected is determined based on the dynamic curve of pressure change.

[0017] If the changing trend of the digital signal of the pressure to be detected is consistent with the changing trend of the dynamic curve of the pressure change, then the control system is determined to be in normal operation.

[0018] If the trend of the pressure digital signal to be detected is inconsistent with the trend of the pressure change dynamic curve, then the control system is determined to be in an abnormal state.

[0019] Optionally, after determining that the control system is in normal operating condition, the method further includes:

[0020] The target pressure digital signal corresponding to the first tension sensor and the detection pressure digital signal corresponding to the second tension sensor are merged to obtain merged tension data, and the control algorithm of the warp feed and take-up servo motors in the control system is optimized based on the merged tension data.

[0021] Optionally, after determining that the control system is in an abnormal state, the method further includes:

[0022] The target pressure digital signal corresponding to the first tension sensor is used to replace the detection pressure digital signal corresponding to the second tension sensor to obtain the replaced tension data, and the control algorithm of the warp feed and take-up servo motors in the control system is optimized based on the replaced tension data.

[0023] Secondly, this application provides a device for detecting abnormalities in the control system of a loom, comprising:

[0024] The target signal acquisition module is used to detect the warp and fabric tension on the back beam of the target loom based on a first tension sensor independently installed on the back beam of the target loom to obtain the target pressure signal;

[0025] The pressure curve acquisition module is used to perform signal conversion operations on the target pressure signal using a preset signal processing tool to obtain the corresponding target pressure digital signal, and to perform curve fitting on the target pressure digital signal to obtain a dynamic pressure change curve.

[0026] The signal acquisition module is used to acquire the digital signal of the pressure to be detected corresponding to the warp and fabric tension on the back beam of the target loom through a second tension sensor connected to the control system on the back beam of the target loom; the first tension sensor and the second tension sensor are controlled by different independent power supplies;

[0027] The trend judgment module is used to judge the trend of the pressure digital signal to be detected based on the pressure change dynamic curve, and to determine the abnormal situation of the control system based on the judgment result.

[0028] Thirdly, this application provides an electronic device, comprising:

[0029] Memory, used to store computer programs;

[0030] A processor is used to execute the computer program to implement the aforementioned method for detecting abnormalities in the control system of a loom.

[0031] Fourthly, this application provides a computer-readable storage medium for storing a computer program, wherein the computer program, when executed by a processor, implements the aforementioned method for detecting abnormalities in the control system of a loom.

[0032] This application first detects the warp and fabric tension on the target loom's back beam using a first tension sensor independently installed on the target loom's back beam to obtain a target pressure signal. Then, it uses a preset signal processing tool to perform signal conversion on the target pressure signal to obtain a corresponding target pressure digital signal, and performs curve fitting on the target pressure digital signal to obtain a dynamic pressure change curve. Next, it acquires the digital pressure signal corresponding to the warp and fabric tension on the target loom's back beam using a second tension sensor connected to the control system. The first and second tension sensors are controlled by different independent power supplies. Based on the dynamic pressure change curve, the application judges the trend of the digital pressure signal to be detected, and determines the abnormality of the control system based on the judgment result. As can be seen above, this application detects the warp and fabric tension on the target loom's back beam using a first tension sensor independently installed on the target loom's back beam, converts the detected target pressure signal into a digital signal, performs curve fitting on the digital signal to obtain a dynamic pressure change curve, and then determines the abnormality of the control system based on the judgment result of the trend of the digital pressure signal to be detected obtained by the second tension sensor and the dynamic pressure change curve. In this way, by using dual-point detection on the back beam of the target loom to determine abnormal conditions of the control system, it is possible to effectively avoid the difference in fabric quality caused by abnormal transmission effects between mechanical parts, thereby saving production costs and improving fabric quality. Attached Figure Description

[0033] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0034] Figure 1 This application discloses a flowchart of a method for detecting abnormalities in the control system of a loom.

[0035] Figure 2 A schematic diagram of a preset signal processing center provided in this application;

[0036] Figure 3 A schematic diagram of a preset display device provided in this application;

[0037] Figure 4 A schematic diagram of a specific method for detecting abnormalities in the control system of a loom provided in this application;

[0038] Figure 5This is a schematic diagram of the structure of a control system anomaly detection device for a loom disclosed in this application;

[0039] Figure 6 This is a structural diagram of an electronic device disclosed in this application. Detailed Implementation

[0040] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0041] Existing loom control systems collect warp tension data from a single point on the back beam, either on the left or right side. The quality of this function varies depending on the loom's components and the electrical parts of the control system, affecting fabric quality and leading to defective fabric and production waste. This application provides a method for detecting anomalies in a loom's control system. This method effectively avoids differences in fabric quality caused by abnormal transmission between mechanical components, thereby saving production costs and improving fabric quality.

[0042] See Figure 1 As shown in the figure, an embodiment of the present invention discloses a method for detecting abnormalities in the control system of a loom, including:

[0043] Step S11: Based on the first tension sensor independently installed on the rear beam of the target loom, the tension of the warp yarns and fabric surface on the rear beam of the target loom is detected to obtain the target pressure signal.

[0044] In this embodiment, a first tension sensor is independently installed on the back beam of the target loom. This allows the sensor to detect the force signals corresponding to the warp and fabric tensions acting on the back beam. The first tension sensor can process the weak force signals and convert them into a regular signal form that is easily processed by the computing chip, namely the target pressure signal. Specifically, the process of detecting the warp and fabric tensions acting on the back beam of the target loom using the independently installed first tension sensor to obtain the target pressure signal includes: detecting the warp and fabric tensions acting on the back beam of the target loom using the independently installed first tension sensor to obtain the corresponding force signals; performing signal shaping, amplification, and conversion on the force signals to obtain the corresponding electrical signals; and then determining the electrical signals as the target pressure signal.

[0045] It is understood that the power input range of the first tension sensor can be a DC voltage of 5V-24V, and the output signal can be configured as a single-ended signal (such as 0-10V, 4-20mA) or a differential signal (such as ±10mV).

[0046] Furthermore, the first tension sensor can possess characteristics such as high sensitivity and high precision, thereby effectively ensuring the accuracy of the detection data; it can have various structural forms to match various types of looms and is easy to install; the material of the first tension sensor can be high-quality stainless steel, which is not easily damaged; the range supported by the first tension sensor can be adjusted to adapt to the detection of control systems for various types of looms, and the first tension sensor can be adjusted accordingly according to actual conditions, without specific limitations here.

[0047] Step S12: Use a preset signal processing tool to perform signal conversion on the target pressure signal to obtain the corresponding target pressure digital signal, and perform curve fitting on the target pressure digital signal to obtain the dynamic curve of pressure change.

[0048] In this embodiment, after receiving the target pressure signal, an analog-to-digital converter (ADC) can be used to convert the target pressure signal into a target pressure digital signal. Specifically, the target pressure digital signal is a digital sequence composed of many discrete values. This digital sequence extracts some points from the continuous changes of the target pressure signal. This process involves converting the continuous target pressure signal into a series of digital values, each digital value representing the instantaneous value of the target pressure signal at a certain moment. In this way, the target pressure signal is quantized and converted into digital data that can be processed and analyzed in a digital system, i.e., the target pressure digital signal.

[0049] It is understood that after obtaining the target pressure digital signal, a curve fitting is performed on the target pressure digital signal to obtain the dynamic curve of pressure change. Specifically, digital signal data of the target pressure digital signal can be collected first, but the digital signal data may contain noise and other interference factors. Therefore, the digital signal data needs to be processed to ensure the accuracy and reliability of the data. After obtaining the processed data, the average value of the processed data is calculated. A preset linear equation can be used to calculate the average value, the pressure information in the pressure digital signal, and the pressure change rate information to obtain the dynamic curve of pressure change.

[0050] Furthermore, after obtaining the dynamic pressure change curve, the dynamic pressure change curve can be transmitted to a preset display device. Specifically, after using a preset signal processing tool to perform signal conversion on the target pressure signal to obtain a corresponding target pressure digital signal, and performing curve fitting on the target pressure digital signal to obtain the dynamic pressure change curve, the process further includes: transmitting the dynamic pressure change curve to the preset display device through a preset general communication interface or a preset wireless interface, so that the dynamic pressure change curve can be displayed on the preset display device.

[0051] In this embodiment, the aforementioned preset general communication interface and the aforementioned preset wireless interface are interfaces in the preset signal processing center of the first tension sensor, such as... Figure 2As shown, the preset signal processing center may include a high-speed Ethernet interface, a high-speed analog signal acquisition interface, a WIFI (wireless network communication technology) interface, a general communication interface (CAN (Controller Area Network) interface, RS485 (a serial communication interface), RS232 (a serial communication interface), etc.), and a control unit. The high-speed Ethernet interface is the signal interface between the preset signal processing center and the preset display device. It interacts with the preset display device via high-speed Ethernet communication, ensuring not only real-time data transmission but also stability, accuracy, and reliability. The high-speed analog signal acquisition interface is the signal interface between the preset signal processing center and the first tension sensor. It interacts with the control unit via high-speed SPI (Serial Peripheral Interface) communication. This part further converts the signal to obtain the target pressure digital signal with a conversion accuracy of up to 24 bits, and transmits the data to the control unit via the high-speed SPI interface. This acquisition interface can support one or multiple channels of the first tension sensor. The WIFI interface transmits the data from the preset signal processing center to the preset display device wirelessly. The data can then be used through other terminal devices. The general communication interfaces include common interfaces such as CAN, RS485, and RS232, primarily used to connect to other devices and transmit data from the preset signal processing center to them. The control unit can employ advanced FPGA (Field Programmable Gate Array) chips, which feature low power consumption, high speed, high precision, programmability, and high parallel task execution efficiency. It should be noted that other chips, such as MCU (Micro Controller Unit) chips or DSP (Digital Signal Processing) chips, can also be used; no specific limitation is made here.

[0052] It is understood that after the dynamic curve of pressure change is transmitted to the preset display device, the preset display device displays the dynamic curve of pressure change, such as... Figure 3As shown, the preset display device may include a data processing unit, a touch unit, a storage unit, and a USB (Universal Serial Bus) data interface. The data processing unit may employ an MCU chip to further process the target pressure digital signal transmitted from the preset signal processing center, such as through storage, comparative analysis, and graphical display. The touch unit is used for human-computer interaction and parameter setting to quickly match the type of the target loom. The storage unit stores model data for various types of looms, enabling rapid comparison by comparing the target pressure digital signal of the target loom with historical data from existing models, and quickly providing comparison results and guiding suggestions. The USB data interface allows importing historical data from existing models for comparative analysis, and also allows exporting data from the preset display device for further use.

[0053] In one specific implementation, the changing trends of historical data from different types of looms can be compared with the changing trends of the dynamic pressure change curve. Based on the comparison results, it can be determined whether the dynamic pressure change curve obtained based on the first tension sensor is accurate. If the changing trends of historical data from different types of looms are consistent with the changing trends of the dynamic pressure change curve, then the dynamic pressure change curve is accurate. If the changing trends of historical data from different types of looms are inconsistent with the changing trends of the dynamic pressure change curve, the process jumps to the step of detecting the warp and fabric tension on the back beam of the target loom using a first tension sensor independently installed on the back beam of the target loom to obtain a target pressure signal, until the changing trends of historical data from different types of looms are consistent with the changing trends of the dynamic pressure change curve.

[0054] Step S13: Obtain the digital signal of the pressure to be detected corresponding to the warp and fabric tension on the back beam of the target loom through the second tension sensor connected to the control system on the back beam of the target loom; the first tension sensor and the second tension sensor are controlled by different independent power supplies.

[0055] In this embodiment, the first tension sensor is installed on the back beam of the target loom at the opposite side of the location of the second tension sensor, and is used to sense the force signal in the vicinity. The second tension sensor, which is connected to the control system on the back beam of the target loom, detects the warp and fabric tension on the back beam of the target loom to obtain the corresponding pressure signal to be detected. The pressure signal to be detected is then shaped, amplified, and converted to obtain the corresponding digital pressure signal to be detected.

[0056] It is understandable that the first tension sensor and the second tension sensor are controlled by different independent power supplies to ensure stable and accurate operation of the tension sensors and effectively reduce electromagnetic interference between them. It should be noted that the first tension sensor can use an isolation transformer in the circuit to achieve power isolation, completely isolating the input power supply and output circuit of the first tension sensor, thus protecting the circuit and ensuring the accuracy of the first tension sensor's detection.

[0057] Step S14: Based on the dynamic curve of pressure change, determine the trend of the pressure digital signal to be detected, and determine the abnormal situation of the control system according to the judgment result.

[0058] In this embodiment, after obtaining the digital signal of the pressure to be detected, the abnormal condition of the control system can be determined by comparing the dynamic curve of pressure change obtained by the first tension sensor and the digital signal of the pressure to be detected obtained by the second tension sensor. Specifically, judging the trend of the digital signal of the pressure to be detected based on the dynamic curve of pressure change, and determining the abnormal condition of the control system based on the judgment result, includes: judging the trend of the digital signal of the pressure to be detected based on the dynamic curve of pressure change; if the trend of the digital signal of the pressure to be detected is consistent with the trend of the dynamic curve of pressure change, then the control system is determined to be in normal operation; if the trend of the digital signal of the pressure to be detected is inconsistent with the trend of the dynamic curve of pressure change, then the control system is determined to be in an abnormal state.

[0059] It is understood that if the control system is in normal operation, the data representing the target pressure digital signal obtained by the first tension sensor and the detection pressure digital signal corresponding to the second tension sensor are both accurate. Therefore, the two data can be merged to optimize the control system. Specifically, after determining that the control system is in normal operation, the process further includes: merging the target pressure digital signal corresponding to the first tension sensor and the detection pressure digital signal corresponding to the second tension sensor to obtain merged tension data, and optimizing the control algorithms of the warp feed and take-up servo motors in the control system based on the merged tension data.

[0060] It is further important to understand that if the control system is in an abnormal state, the data representing the digital signal of the pressure to be detected corresponding to the second tension sensor is incorrect. Therefore, the digital signal of the pressure to be detected corresponding to the second tension sensor can be replaced with the digital signal of the target pressure corresponding to the first tension sensor. Specifically, after determining that the control system is in an abnormal state, the process further includes: replacing the digital signal of the pressure to be detected corresponding to the second tension sensor with the digital signal of the target pressure corresponding to the first tension sensor to obtain the replaced tension data, and optimizing the control algorithm of the warp feed and take-up servo motors in the control system based on the replaced tension data.

[0061] As can be seen from the above, this application uses a first tension sensor independently installed on the rear beam of the target loom to detect the warp and fabric tension acting on the rear beam. The detected target pressure signal is converted into a digital signal, and then curve fitting is performed on the digital signal to obtain a dynamic pressure change curve. Subsequently, the abnormality of the control system is determined by judging the trend of the digital signal of the pressure to be detected obtained from the second tension sensor and the dynamic pressure change curve. In this way, using dual-point detection on the rear beam of the target loom to determine abnormalities in the control system effectively avoids differences in transmission effects between mechanical components that could affect fabric quality, thereby saving production costs and improving fabric quality.

[0062] The following is through Figure 4 The disclosed schematic diagrams provide a detailed description of the technical solutions in the embodiments of this application.

[0063] By independently mounting a first tension sensor (i.e., a sensor module) on the back beam of the target loom, the tension of the warp yarns and fabric surface acting on the back beam can be detected to obtain a force signal. This force signal is then shaped, processed, and converted to obtain a corresponding electrical signal, which is the target pressure signal. Furthermore, the first tension sensor can be a high-precision measuring sensor specifically designed for measuring the tension of warp yarns and fabric surface on various types of looms. Then, after receiving the target pressure signal, the preset signal processing center (i.e., the signal processing module) further processes the target pressure signal to obtain the corresponding target pressure digital signal. The target pressure digital signal is then curve-fitted to obtain a dynamic pressure change curve. Afterwards, the dynamic pressure change curve can be transmitted to a preset display device (i.e., the display module) through a preset general communication interface or a preset wireless interface so that the preset display device (i.e., the display module) can display the received dynamic pressure change curve. Finally, the trend of the pressure digital signal to be detected is judged through the dynamic pressure change curve to obtain the corresponding judgment result. Based on the judgment result, the abnormal situation of the control system is determined, thereby completing the abnormal detection of the control system of the target loom.

[0064] Accordingly, see Figure 5 As shown, this application also provides a device for detecting abnormalities in the control system of a loom, comprising:

[0065] The target signal acquisition module 11 is used to detect the warp and fabric tension on the target loom rear beam based on a first tension sensor independently installed on the target loom rear beam to obtain a target pressure signal;

[0066] The pressure curve acquisition module 12 is used to perform signal conversion operation on the target pressure signal using a preset signal processing tool to obtain the corresponding target pressure digital signal, and to perform curve fitting on the target pressure digital signal to obtain a dynamic curve of pressure change.

[0067] The signal acquisition module 13 is used to acquire the digital signal of the pressure to be detected corresponding to the warp and fabric tension on the back beam of the target loom through a second tension sensor connected to the control system on the back beam of the target loom; the first tension sensor and the second tension sensor are controlled by different independent power supplies;

[0068] The trend judgment module 14 is used to judge the trend of the pressure digital signal to be detected based on the pressure change dynamic curve, and to determine the abnormal situation of the control system based on the judgment result.

[0069] As can be seen from the above, this application uses a first tension sensor independently installed on the rear beam of the target loom to detect the warp and fabric tension acting on the rear beam. The detected target pressure signal is converted into a digital signal, and then curve fitting is performed on the digital signal to obtain a dynamic pressure change curve. Subsequently, the abnormality of the control system is determined by judging the trend of the digital signal of the pressure to be detected obtained from the second tension sensor and the dynamic pressure change curve. In this way, using dual-point detection on the rear beam of the target loom to determine abnormalities in the control system effectively avoids differences in transmission effects between mechanical components that could affect fabric quality, thereby saving production costs and improving fabric quality.

[0070] In some specific embodiments, the target signal acquisition module 11 may specifically include:

[0071] The force signal conversion unit is used to detect the warp and fabric tension on the target loom back beam based on the first tension sensor independently installed on the target loom back beam to obtain the corresponding force signal, and to perform corresponding signal shaping, signal amplification and signal conversion on the force signal to obtain the corresponding electrical signal, and then determine the electrical signal as the target pressure signal.

[0072] In some specific embodiments, the abnormality detection device for the control system of the loom may specifically include:

[0073] The curve display unit is used to transmit the dynamic curve of pressure change to a preset display device through a preset general communication interface or a preset wireless interface, so as to display the dynamic curve of pressure change based on the preset display device.

[0074] In some specific embodiments, the trend determination module 14 may specifically include:

[0075] The trend judgment unit is used to judge the changing trend of the pressure digital signal to be detected based on the pressure change dynamic curve;

[0076] The first state determination unit is used to determine that the control system is in normal operation if the changing trend of the pressure digital signal to be detected is consistent with the changing trend of the pressure change dynamic curve.

[0077] The second state determination unit is used to determine that the control system is in an abnormal state if the changing trend of the digital signal of the pressure to be detected is inconsistent with the changing trend of the dynamic curve of the pressure change.

[0078] In some specific embodiments, the abnormality detection device for the control system of the loom may specifically include:

[0079] The signal merging unit is used to merge the target pressure digital signal corresponding to the first tension sensor and the detection pressure digital signal corresponding to the second tension sensor to obtain merged tension data, and to optimize the control algorithm of the warp feed and take-up servo motors in the control system based on the merged tension data.

[0080] In some specific embodiments, the abnormality detection device for the control system of the loom may specifically include:

[0081] The signal replacement unit is used to replace the target pressure digital signal corresponding to the first tension sensor with the detection pressure digital signal corresponding to the second tension sensor to obtain the replaced tension data, and to optimize the control algorithm of the warp feed and winding servo motors in the control system based on the replaced tension data.

[0082] Furthermore, embodiments of this application also disclose an electronic device, Figure 6 This is a structural diagram of an electronic device 20 according to an exemplary embodiment. The content of the diagram should not be construed as limiting the scope of this application. The electronic device 20 may specifically include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input / output interface 25, and a communication bus 26. The memory 22 stores a computer program, which is loaded and executed by the processor 21 to implement the relevant steps in the abnormal detection method for the control system of the loom disclosed in any of the foregoing embodiments. Furthermore, the electronic device 20 in this embodiment may specifically be an electronic computer.

[0083] In this embodiment, the power supply 23 is used to provide operating voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and external devices, and the communication protocol it follows can be any communication protocol applicable to the technical solution of this application, and is not specifically limited here; the input / output interface 25 is used to acquire external input data or output data to the outside world, and its specific interface type can be selected according to specific application needs, and is not specifically limited here.

[0084] In addition, the memory 22, as a carrier for resource storage, can be a read-only memory, random access memory, disk, or optical disk, etc. The resources stored thereon can include an operating system 221, computer programs 222, etc., and the storage method can be temporary storage or permanent storage.

[0085] The operating system 221 is used to manage and control the various hardware devices on the electronic device 20 and the computer program 222, which may be Windows Server, Netware, Unix, Linux, etc. In addition to including a computer program capable of performing the loom control system anomaly detection method executed by the electronic device 20 as disclosed in any of the foregoing embodiments, the computer program 222 may further include computer programs capable of performing other specific tasks.

[0086] Furthermore, this application also discloses a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, it implements the aforementioned method for detecting abnormalities in the control system of a loom. Specific steps of this method can be found in the corresponding content disclosed in the foregoing embodiments, and will not be repeated here.

[0087] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to in the method section.

[0088] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0089] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0090] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0091] The technical solutions provided in this application have been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for detecting abnormalities in the control system of a loom, characterized in that, include: The target pressure signal is obtained by detecting the warp and fabric tension on the target loom rear beam using a first tension sensor independently installed on the target loom rear beam; The target pressure signal is converted using a preset signal processing tool to obtain a corresponding target pressure digital signal, and curve fitting is performed on the target pressure digital signal to obtain a dynamic pressure change curve; wherein, curve fitting of the target pressure digital signal to obtain the dynamic pressure change curve includes: calculating the average value of the processed data corresponding to the target pressure digital signal, and using a preset linear equation to calculate the average value, the pressure information in the target pressure digital signal, and the pressure change rate information to obtain the dynamic pressure change curve; The digital signal of the pressure to be detected, corresponding to the warp and fabric tension, is obtained by a second tension sensor connected to the control system on the back beam of the target loom; the first tension sensor and the second tension sensor are controlled by different independent power supplies; The trend of the pressure change in the digital signal to be detected is judged based on the dynamic curve of pressure change, and the abnormal situation of the control system is determined according to the judgment result. The step of judging the trend of the pressure digital signal to be detected based on the dynamic curve of pressure change, and determining the abnormal condition of the control system based on the judgment result, includes: judging the trend of the pressure digital signal to be detected based on the dynamic curve of pressure change; if the trend of the pressure digital signal to be detected is consistent with the trend of the dynamic curve of pressure change, then the control system is determined to be in normal operation; if the trend of the pressure digital signal to be detected is inconsistent with the trend of the dynamic curve of pressure change, then the control system is determined to be in an abnormal state.

2. The method for detecting abnormalities in the control system of a loom according to claim 1, characterized in that, The method of detecting the warp and fabric tension on the target loom's rear beam using a first tension sensor independently installed on the target loom's rear beam to obtain a target pressure signal includes: The tension of the warp yarns and fabric surface on the target loom rear beam is detected by a first tension sensor independently installed on the target loom rear beam to obtain the corresponding force signal. The force signal is then shaped, amplified, and converted to obtain the corresponding electrical signal, which is then determined as the target pressure signal.

3. The method for detecting abnormalities in the control system of a loom according to claim 1, characterized in that, After performing signal conversion on the target pressure signal using a preset signal processing tool to obtain a corresponding target pressure digital signal, and performing curve fitting on the target pressure digital signal to obtain a dynamic pressure change curve, the method further includes: The dynamic curve of pressure change is transmitted to a preset display device through a preset general communication interface or a preset wireless interface, so that the dynamic curve of pressure change can be displayed based on the preset display device.

4. The method for detecting abnormalities in the control system of a loom according to claim 1, characterized in that, The first tension sensor is installed on the back beam of the target loom at the opposite side of the location of the second tension sensor.

5. The method for detecting abnormalities in the control system of a loom according to claim 1, characterized in that, After determining that the control system is in normal operating condition, the method further includes: The target pressure digital signal corresponding to the first tension sensor and the detection pressure digital signal corresponding to the second tension sensor are merged to obtain merged tension data, and the control algorithm of the warp feed and take-up servo motors in the control system is optimized based on the merged tension data.

6. The method for detecting abnormalities in the control system of a loom according to claim 4, characterized in that, After determining that the control system is in an abnormal state, the process further includes: The target pressure digital signal corresponding to the first tension sensor is used to replace the detection pressure digital signal corresponding to the second tension sensor to obtain the replaced tension data, and the control algorithm of the warp feed and take-up servo motors in the control system is optimized based on the replaced tension data.

7. A device for detecting abnormalities in the control system of a loom, characterized in that, include: The target signal acquisition module is used to detect the warp and fabric tension on the back beam of the target loom based on a first tension sensor independently installed on the back beam of the target loom to obtain the target pressure signal; The pressure curve acquisition module is used to perform signal conversion operations on the target pressure signal using a preset signal processing tool to obtain the corresponding target pressure digital signal, and to perform curve fitting on the target pressure digital signal to obtain a dynamic pressure change curve. The signal acquisition module is used to acquire the digital signal of the pressure to be detected corresponding to the warp and fabric tension on the back beam of the target loom through a second tension sensor connected to the control system on the back beam of the target loom; the first tension sensor and the second tension sensor are controlled by different independent power supplies; wherein, curve fitting of the target pressure digital signal to obtain a dynamic curve of pressure change includes: calculating the average value of the processed data corresponding to the target pressure digital signal, and using a preset linear equation to calculate the average value, the pressure information in the target pressure digital signal, and the pressure change rate information to obtain the dynamic curve of pressure change; The trend judgment module is used to judge the trend of the pressure digital signal to be detected based on the pressure change dynamic curve, and to determine the abnormal situation of the control system based on the judgment result. The step of judging the trend of the pressure digital signal to be detected based on the dynamic curve of pressure change, and determining the abnormal condition of the control system based on the judgment result, includes: judging the trend of the pressure digital signal to be detected based on the dynamic curve of pressure change; if the trend of the pressure digital signal to be detected is consistent with the trend of the dynamic curve of pressure change, then the control system is determined to be in normal operation; if the trend of the pressure digital signal to be detected is inconsistent with the trend of the dynamic curve of pressure change, then the control system is determined to be in an abnormal state.

8. An electronic device, characterized in that, include: Memory, used to store computer programs; A processor is configured to execute the computer program to implement the method for detecting abnormalities in the control system of a loom as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, Used to store a computer program, wherein the computer program, when executed by a processor, implements the abnormal detection method for the control system of a loom as described in any one of claims 1 to 6.

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