Abnormity detection method, device and equipment for control system of weaving machine and medium

Abstract

The invention discloses an anomaly detection method, device and equipment for a control system of a weaving machine and a medium, and relates to the technical field of intelligent detection, and the method comprises the steps: detecting warp and cloth surface tension borne by a rear beam of a target weaving machine based on a first tension sensor independently installed on the rear beam of the target weaving machine; performing signal conversion on the obtained target pressure 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; acquiring a to-be-detected pressure digital signal through a second tension sensor connected with the control system on a rear beam of the target loom; the first tension sensor and the second tension sensor are controlled through different independent power supplies; and the to-be-detected pressure digital signal is judged based on the pressure change dynamic curve, and the abnormal condition of the control system is determined according to the judgment result. The change trend of the to-be-detected pressure digital signal is used for judging the abnormal condition of the control system by using the pressure change dynamic curve, thereby improving the quality of the loom.

Description

Technical Field

[0001] The present invention relates to the field of intelligent detection technology, and in particular to a method, device, equipment and medium for detecting abnormality of a control system of a loom. Background Art

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

[0003] As can be seen from the above, how to detect abnormalities in the control system of the loom is a problem that needs to be solved urgently. Summary of the invention

[0004] In view of this, the purpose of the present invention is to provide a control system abnormality detection method, device, equipment and medium for a loom, which can effectively avoid the difference caused by the abnormal transmission effect between mechanical parts affecting the fabric quality, thereby saving production costs and improving fabric quality. The specific scheme is as follows:

[0005] In a first aspect, the present application provides a control system abnormality detection method for a loom, comprising:

[0006] Based on a first tension sensor independently installed on a back beam of a target loom, the tension of warp yarns and cloth surface on the back beam of the target loom is detected to obtain a target pressure signal;

[0007] Using a preset signal processing tool to perform a signal conversion operation 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 a pressure change dynamic curve;

[0008] A digital pressure signal to be detected corresponding to the tension of the warp yarn and the cloth surface on the back beam of the target loom 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 change trend of the pressure digital signal to be detected is judged based on the pressure change dynamic curve, and the abnormal situation of the control system is determined according to the judgment result.

[0010] Optionally, the method of detecting the warp yarn and cloth tension exerted 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 a target pressure signal includes:

[0011] Based on a first tension sensor independently installed on the back beam of the target loom, the warp yarn and cloth tension on the back beam of the target loom are detected to obtain a corresponding force signal, and the force signal is subjected to corresponding signal shaping, signal amplification, and signal conversion to obtain a corresponding electrical signal, and then the electrical signal is determined as a target pressure signal.

[0012] Optionally, after performing a signal conversion operation 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 pressure change dynamic curve, the method further includes:

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

[0014] Optionally, the first tension sensor is installed on the rear beam of the target loom at a position opposite to the position of the second tension sensor.

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

[0016] Judging the change trend of the pressure digital signal to be detected based on the pressure change dynamic curve;

[0017] If the change trend of the pressure digital signal to be detected is consistent with the change trend of the pressure change dynamic curve, it is determined that the control system is in a normal operating state;

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

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

[0020] The target pressure digital signal corresponding to the first tension sensor and the to-be-detected pressure digital signal corresponding to the second tension sensor are combined to obtain combined tension data, and the control algorithms of the warp letting and winding servo motors in the control system are optimized based on the combined 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 replaces the pressure digital signal to be detected corresponding to the second tension sensor to obtain the replaced tension data, and the control algorithm of the warp letting and winding servo motor in the control system is optimized based on the replaced tension data.

[0023] In a second aspect, the present application provides a control system abnormality detection device for a loom, comprising:

[0024] A target signal acquisition module, used for detecting the tension of warp yarn and cloth surface 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 a target pressure signal;

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

[0026] a signal acquisition module to be detected, used for acquiring a pressure digital signal to be detected corresponding to the tension of the warp yarn and the cloth surface of 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 change trend judgment module is used to judge the change trend of the pressure digital signal to be detected based on the pressure change dynamic curve, and determine the abnormal situation of the control system according to the judgment result.

[0028] In a third aspect, the present application provides an electronic device, including:

[0029] Memory, used to store computer programs;

[0030] The processor is used to execute the computer program to implement the aforementioned control system abnormality detection method for the loom.

[0031] In a fourth aspect, the present application provides a computer-readable storage medium for storing a computer program, wherein the computer program, when executed by a processor, implements the aforementioned control system abnormality detection method for a loom.

[0032] The present application first detects the warp and cloth tensions 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; uses a preset signal processing tool to perform a signal conversion operation on the target pressure signal to obtain a corresponding target pressure digital signal, and curve fits the target pressure digital signal to obtain a pressure change dynamic curve; obtains the pressure digital signal to be detected corresponding to the warp and cloth tensions on the target loom back beam through 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; based on the pressure change dynamic curve, the change trend of the pressure digital signal to be detected is judged, and the abnormality of the control system is determined according to the judgment result. As can be seen from the above, the present application detects the warp and cloth tensions on the target loom back beam through a first tension sensor independently installed on the target loom back beam, and converts the detected target pressure signal into a digital signal, and then curve fits the digital signal to obtain a pressure change dynamic curve, and then determines the abnormality of the control system through the judgment result of the change trend of the pressure digital signal to be detected obtained by the second tension sensor and the pressure change dynamic curve. In this way, using double-point detection on the back beam of the target loom to judge the abnormal situation of the control system can effectively avoid the difference caused by abnormal transmission effect between mechanical parts affecting the fabric quality, thereby saving production costs and improving fabric quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0034] Figure 1 A flow chart of a control system abnormality detection method for a loom disclosed in the present application;

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

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

[0037] Figure 4 A schematic diagram of a specific control system abnormality detection method for a loom provided in the present application;

[0038] Figure 5This is a schematic structural diagram of an abnormality detection device for a loom control system disclosed in the present application;

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

[0040] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] The control system of the existing loom collects the tension of the warp yarn on the back beam at a single point, that is, it is located on the left or right side of the back beam. The quality of this function varies with the differences in the components of the loom and the differences in the electrical components in the control system, which will affect the quality of the fabric. The formation of bad fabric will cause production waste. The present application provides a control system abnormality detection method for a loom, which can effectively avoid the difference caused by the abnormal transmission effect between mechanical components affecting the fabric quality, thereby saving production costs and improving fabric quality.

[0042] See also Figure 1 As shown, an embodiment of the present invention discloses a control system abnormality detection method for a loom, comprising:

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

[0044] In this embodiment, the first tension sensor is independently installed on the back beam of the target loom, so that the force signal corresponding to the tension of the warp yarn and the cloth surface of the back beam of the target loom can be sensed by the first tension sensor. The first tension sensor can perform corresponding signal processing on the weak force signal sensed, and finally convert it into a regular signal form that is convenient for the operation chip to process, that is, the target pressure signal. Specifically, the first tension sensor independently installed on the back beam of the target loom detects the tension of the warp yarn and the cloth surface of the back beam of the target loom to obtain the target pressure signal, including: based on the first tension sensor independently installed on the back beam of the target loom, the warp yarn and the cloth surface tension of the back beam of the target loom is detected to obtain the corresponding force signal, and the force signal is correspondingly shaped, amplified, and converted to obtain the corresponding electrical signal, and then the electrical signal is determined as the target pressure signal.

[0045] It is understandable 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 may have the characteristics of high sensitivity and high precision, so as to effectively ensure the accuracy of the detection data; it may have a variety of structural forms so as to match various types of looms and be easy to install; the material of the first tension sensor may be high-quality stainless steel, which is not easily damaged; the range supported by the first tension sensor may be adjusted to adapt to the detection of the control systems of various types of looms, and the first tension sensor may be adjusted accordingly according to actual conditions, and no specific limitation is made here.

[0047] Step S12: using a preset signal processing tool to perform a signal conversion operation 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 a pressure change dynamic curve.

[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 the target pressure digital signal. Specifically, the target pressure digital signal is a digital sequence composed of many discrete values, and this digital sequence extracts some points from the continuous change of the target pressure signal. This process involves converting the continuous target pressure signal into a series of digital values, each digital value represents the instantaneous value of the target pressure signal at a certain moment. In this way, the target pressure signal is quantified and converted into digital data that can be processed and analyzed in a digital system, that is, the target pressure digital signal.

[0049] It is understandable that after obtaining the corresponding target pressure digital signal, the target pressure digital signal is subjected to corresponding curve fitting to obtain the pressure change dynamic curve. Specifically, the 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, so the digital signal data needs to be subjected to corresponding interference processing to ensure the accuracy and reliability of the data; after obtaining the processed data, the average value of the processed data is calculated, and the preset linear equation can be used to calculate the average value, the pressure information in the pressure digital signal, and the pressure change speed information to obtain the pressure change dynamic curve.

[0050] Furthermore, after obtaining the pressure change dynamic curve, the pressure change dynamic curve can be transmitted to a preset display device. Specifically, after using a preset signal processing tool to perform a signal conversion operation 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 pressure change dynamic curve, it also includes: transmitting the pressure change dynamic curve to a preset display device through a preset universal communication interface or a preset wireless interface, so as to display the pressure change dynamic curve based on the preset display device.

[0051] In this embodiment, the above-mentioned preset universal communication interface and the above-mentioned preset wireless interface are interfaces in the preset signal processing center in 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 quantity acquisition interface, a WIFI (i.e., wireless network communication technology) interface, a universal communication interface (CAN (Controller Area Network, i.e., controller local area network) interface, RS485 (a serial communication interface), RS232 (a serial communication interface), etc.) and a control unit. The high-speed Ethernet interface is a signal interface between the preset signal processing center and the preset display device. Data is exchanged with the preset display device in the form of high-speed Ethernet communication, which not only ensures the real-time nature of the data, but also ensures the stability, accuracy, and reliability of data transmission. The high-speed analog quantity acquisition interface is a signal interface between the preset signal processing center and the first tension sensor. Data is exchanged with the control unit in the form of high-speed SPI (Serial Peripheral Interface, i.e., serial peripheral interface) communication. This part realizes further conversion of 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 through the high-speed SPI interface. The acquisition interface may support one channel of the first tension sensor, or may support multiple channels of the first tension sensors. The WIFI interface transmits the data of the preset signal processing center to the preset display device in a wireless form. The data can then be used through other terminal devices. The universal communication interface includes common communication interfaces such as CAN, RS485, RS232, etc., which are mainly used to connect other devices and transmit the data of the preset signal processing center to other devices. The control unit can adopt advanced FPGA (Field Programmable Gate Array) chips, which have the characteristics of low power consumption, high speed, high precision, programmability, and high efficiency in parallel task execution. It should be pointed out that other chips can also be used here, such as MCU (Micro Controller Unit) chips or DSP (Digital Signal Processing) chips, which are not specifically limited here.

[0052] It can be understood that after the pressure change dynamic curve is transmitted to the preset display device, the preset display device displays the pressure change dynamic curve, 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 use an MCU chip to further process the target pressure digital signal transmitted from the preset signal processing center, such as storage, comparative analysis, graphical display and other operations. The touch unit can be used for human-computer interaction and can be used to set parameters to quickly match the type of the target loom. The storage unit stores model data of various types of looms, and can quickly implement a comparison function, compare the target pressure digital signal of the target loom with the historical data of the existing model, and quickly give the comparison results and guiding suggestions. The historical data of the existing model can be imported through the USB data interface for data comparison and analysis, and the data of the preset display device can also be exported for use in the next step.

[0053] In a specific embodiment, a comparison can be made between the changing trends of historical data of different types of looms and the changing trends of the pressure change dynamic curve, and whether the pressure change dynamic curve obtained based on the first tension sensor is accurate can be determined based on the comparison results; if the changing trends of historical data of different types of looms and the changing trends of the pressure change dynamic curve are consistent, then the pressure change dynamic curve is characterized as accurate; if the changing trends of historical data of different types of looms and the changing trends of the pressure change dynamic curve are inconsistent, then the step of detecting the warp yarn and cloth tension exerted on the back beam of the target loom based on the first tension sensor independently installed on the back beam of the target loom to obtain a target pressure signal is jumped to, until the changing trends of historical data of the different types of looms and the changing trends of the pressure change dynamic curve are consistent.

[0054] Step S13, obtaining a digital pressure signal to be detected corresponding to the warp yarn and cloth tension exerted 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.

[0055] In this embodiment, the first tension sensor is installed on the back beam of the target loom at a position opposite to the position of the second tension sensor, and is used to sense the force signal in the nearby area. The second tension sensor connected to the control system on the back beam of the target loom detects the tension of the warp yarn and the cloth surface on the back beam of the target loom to obtain a corresponding pressure signal to be detected, and the corresponding signal shaping, signal amplification, and signal conversion are performed on the pressure signal to be detected to obtain a corresponding pressure digital 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 in order to ensure that the tension sensors can work stably and accurately and effectively reduce electromagnetic interference between the tension sensors. 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, which can protect the circuit and ensure the accuracy of the detection of the first tension sensor.

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

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

[0059] It is understandable that if the control system is in a normal operating state, the data representing the target pressure digital signal obtained by the first tension sensor and the pressure digital signal to be detected corresponding to the second tension sensor are both accurate, so the two data can be merged to optimize the control system. Specifically, after determining that the control system is in a normal operating state, it also includes: merging the target pressure digital signal corresponding to the first tension sensor and the pressure digital signal to be detected corresponding to the second tension sensor to obtain the merged tension data, and optimizing the control algorithm of the warp let-off and take-up servo motors in the control system based on the merged tension data.

[0060] It is further understood that if the control system is in an abnormal state, the data representing the pressure digital signal to be detected corresponding to the second tension sensor is wrong, so the pressure digital signal to be detected corresponding to the second tension sensor can be replaced by the target pressure digital signal corresponding to the first tension sensor. Specifically, after determining that the control system is in an abnormal state, it also includes: replacing the pressure digital signal to be detected corresponding to the second tension sensor with the target pressure digital signal corresponding to the first tension sensor to obtain the tension data after replacement, and optimizing the control algorithm of the warp let-off and take-up servo motors in the control system based on the tension data after replacement.

[0061] As can be seen from the above, the present application detects the warp and cloth tensions on the target loom back beam through a first tension sensor independently installed on the target loom back beam, and converts the detected target pressure signal into a digital signal, and then curve fits the digital signal to obtain a pressure change dynamic curve, and then determines the abnormality of the control system through the judgment result of the change trend of the pressure digital signal to be detected obtained by the second tension sensor and the pressure change dynamic curve. In this way, using double-point detection on the target loom back beam to judge the abnormality of the control system can effectively avoid the difference caused by the abnormal transmission effect between mechanical parts affecting the fabric quality, thereby saving production costs and improving fabric quality.

[0062] Below through Figure 4 The disclosed schematic diagram specifically illustrates the technical solution of the embodiment of the present application.

[0063] By independently installing the first tension sensor (i.e., sensor module) on the back beam of the target loom, the warp and cloth tension on the back beam of the target loom can be detected to obtain a force signal, and the force signal is subjected to corresponding signal shaping, signal method, and signal conversion to obtain a corresponding electrical signal, which is the target pressure signal. In addition, the first tension sensor can be equipped with a high-precision measurement sensor, which is specially used to measure the tension of the warp and cloth of various types of looms. Then, after the preset signal processing center (i.e., the signal processing module) receives the target pressure signal, it further processes the target pressure signal to obtain a corresponding target pressure digital signal, and curve fits the target pressure digital signal to obtain a pressure change dynamic curve. After that, the pressure change dynamic curve can be transmitted to a preset display device (i.e., the display module) through a preset universal communication interface or a preset wireless interface, so that the preset display device (i.e., the display module) can display the received pressure change dynamic curve. Finally, the change trend of the pressure digital signal to be detected is judged by the pressure change dynamic curve to obtain a corresponding judgment result, and the abnormal situation of the control system is determined according to the judgment result, thereby completing the abnormal detection of the control system of the target loom.

[0064] Accordingly, see Figure 5 As shown, the present application also provides a control system abnormality detection device for a loom, comprising:

[0065] A target signal acquisition module 11 is used to detect the tension of the warp yarn and the cloth surface 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 a target pressure signal;

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

[0067] The signal acquisition module 13 is used to acquire the pressure digital signal to be detected corresponding to the tension of the warp yarn and the cloth surface of 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;

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

[0069] As can be seen from the above, the present application detects the warp and cloth tensions on the target loom back beam through a first tension sensor independently installed on the target loom back beam, and converts the detected target pressure signal into a digital signal, and then curve fits the digital signal to obtain a pressure change dynamic curve, and then determines the abnormality of the control system through the judgment result of the change trend of the pressure digital signal to be detected obtained by the second tension sensor and the pressure change dynamic curve. In this way, using double-point detection on the target loom back beam to judge the abnormality of the control system can effectively avoid the difference caused by the abnormal transmission effect between mechanical parts affecting the fabric quality, thereby saving production costs and improving fabric quality.

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

[0071] The force signal conversion unit is used to detect the warp yarn and cloth 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 a corresponding force signal, and to perform corresponding signal shaping, signal amplification, and signal conversion on the force signal to obtain a corresponding electrical signal, and then determine the electrical signal as a target pressure signal.

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

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

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

[0075] A trend judgment unit, used for judging the change trend of the pressure digital signal to be detected based on the pressure change dynamic curve;

[0076] A first state determination unit, configured to determine that the control system is in a normal operating state if a change trend of the pressure digital signal to be detected is consistent with a change 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 change trend of the pressure digital signal to be detected is inconsistent with the change trend of the pressure change dynamic curve.

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

[0079] A signal merging unit is used to merge the target pressure digital signal corresponding to the first tension sensor and the to-be-detected pressure digital signal corresponding to the second tension sensor to obtain merged tension data, and optimize the control algorithm of the warp letting and winding servo motors in the control system based on the merged tension data.

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

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

[0082] Furthermore, the present application also discloses an electronic device. Figure 6 : is a structural diagram of an electronic device 20 according to an exemplary embodiment, and the content in the figure cannot be regarded as any limitation on the scope of use 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 is used to store a computer program, and the computer program is loaded and executed by the processor 21 to implement the relevant steps in the control system abnormality detection method of the loom disclosed in any of the aforementioned embodiments. In addition, 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 working 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 the external device, and the communication protocol it follows is any communication protocol that can be applied to the technical solution of the present application, and is not specifically limited here; the input and output interface 25 is used to obtain 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 may be a read-only memory, a random access memory, a disk or an optical disk, etc. The resources stored thereon may include an operating system 221, a computer program 222, etc., and the storage method may be temporary storage or permanent storage.

[0085] The operating system 221 is used to manage and control the hardware devices and computer program 222 on the electronic device 20, and can be Windows Server, Netware, Unix, Linux, etc. In addition to including a computer program that can be used to complete the control system abnormality detection method of the loom executed by the electronic device 20 disclosed in any of the aforementioned embodiments, the computer program 222 can further include a computer program that can be used to complete other specific tasks.

[0086] Furthermore, the present application also discloses a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, the control system abnormality detection method of the loom disclosed above is implemented. The specific steps of the method can refer to the corresponding contents disclosed in the above embodiments, and will not be repeated here.

[0087] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0088] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0089] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0090] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0091] The technical solution provided by the present application is introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea. At the same time, for general technicians in this field, according to the idea of ​​the present application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A method for detecting abnormality in a control system of a loom, characterized in that: include: Based on a first tension sensor independently installed on a back beam of a target loom, the tension of warp yarns and cloth surface on the back beam of the target loom is detected to obtain a target pressure signal; Using a preset signal processing tool to perform a signal conversion operation 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 a pressure change dynamic curve; A pressure digital signal to be detected corresponding to the tension of the warp yarn and the cloth surface on the back beam of the target loom 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 change trend of the pressure digital signal to be detected is judged based on the pressure change dynamic curve, and the abnormal situation of the control system is determined according to the judgment result.

2. The control system abnormality detection method for a loom according to claim 1, characterized in that: The method of detecting the warp yarn and cloth tension exerted 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 a target pressure signal includes: Based on a first tension sensor independently installed on the back beam of the target loom, the warp yarn and cloth tension on the back beam of the target loom are detected to obtain a corresponding force signal, and the force signal is subjected to corresponding signal shaping, signal amplification, and signal conversion to obtain a corresponding electrical signal, and then the electrical signal is determined as a target pressure signal.

3. The control system abnormality detection method for a loom according to claim 1, characterized in that: After the target pressure signal is converted by a preset signal processing tool to obtain a corresponding target pressure digital signal, and the target pressure digital signal is curve-fitted to obtain a pressure change dynamic curve, the method further includes: The pressure change dynamic curve is transmitted to a preset display device through a preset universal communication interface or a preset wireless interface, so that the pressure change dynamic curve is displayed based on the preset display device.

4. The control system abnormality detection method for a loom according to claim 1, characterized in that: The first tension sensor is installed on the rear beam of the target loom at a position opposite to the position of the second tension sensor.

5. The control system abnormality detection method for a loom according to any one of claims 1 to 4, characterized in that: The step of judging the change trend of the pressure digital signal to be detected based on the pressure change dynamic curve, and determining the abnormality of the control system according to the judgment result, includes: Judging the change trend of the pressure digital signal to be detected based on the pressure change dynamic curve; If the change trend of the pressure digital signal to be detected is consistent with the change trend of the pressure change dynamic curve, it is determined that the control system is in a normal operating state; If the change trend of the pressure digital signal to be detected is inconsistent with the change trend of the pressure change dynamic curve, it is determined that the control system is in an abnormal state.

6. The control system abnormality detection method for a loom according to claim 5, characterized in that: After determining that the control system is in a normal operating state, the method further includes: The target pressure digital signal corresponding to the first tension sensor and the to-be-detected pressure digital signal corresponding to the second tension sensor are combined to obtain combined tension data, and the control algorithms of the warp letting and winding servo motors in the control system are optimized based on the combined tension data.

7. The control system abnormality detection method for a loom according to claim 5, characterized in that: After determining that the control system is in an abnormal state, the method further includes: The target pressure digital signal corresponding to the first tension sensor replaces the pressure digital signal to be detected corresponding to the second tension sensor to obtain the replaced tension data, and the control algorithm of the warp letting and winding servo motor in the control system is optimized based on the replaced tension data.

8. A control system abnormality detection device for a loom, characterized in that: include: A target signal acquisition module, used for detecting the tension of warp yarn and cloth surface 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 a target pressure signal; A pressure curve acquisition module, used to perform a signal conversion operation on the target pressure signal using a preset signal processing tool to obtain a corresponding target pressure digital signal, and perform curve fitting on the target pressure digital signal to obtain a pressure change dynamic curve; a signal acquisition module to be detected, used for acquiring a pressure digital signal to be detected corresponding to the tension of the warp yarn and the cloth surface of 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; The change trend judgment module is used to judge the change trend of the pressure digital signal to be detected based on the pressure change dynamic curve, and determine the abnormal situation of the control system according to the judgment result.

9. An electronic device, characterized in that: include: Memory, used to store computer programs; A processor is used to execute the computer program to implement the control system abnormality detection method of a loom as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: Used to store a computer program, wherein when the computer program is executed by a processor, the control system abnormality detection method for a loom as claimed in any one of claims 1 to 7 is implemented.

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