A method for real-time monitoring of the working status of a circular knitting machine

Abstract

This invention belongs to the field of mechanical automation control, specifically relating to a real-time monitoring method for the working status of a circular knitting machine. The invention uses a central vibration sensor to acquire vibration data from multiple moving parts and transmit it to a microcontroller. The microcontroller integrates and processes the vibration data to form a synthetic signal, which is then transmitted to a computer. The computer generates a synthetic signal vibration image and separates it into several amplitude-frequency images corresponding to each moving part. The computer or microcontroller performs error judgment and numerical analysis based on the amplitude-frequency image of each moving part to obtain a judgment result, and then performs corresponding feedback processing based on the judgment result. This invention can clearly achieve real-time and accurate monitoring of each internal mechanical component when the circular knitting machine has many internal mechanical components.

Description

Technical Field

[0001] This invention belongs to the field of mechanical automation control, and specifically relates to a method for real-time monitoring of the working status of a circular knitting machine. Background Technology

[0002] In contemporary times, my country's textile industry has achieved relatively mature technological development, and companies utilizing mechanized weaving have experienced rapid growth. Circular knitting machines, used for weaving warp-weft interlocking fabrics, simultaneously knit plain knit structures while inserting warp and weft yarns that do not participate in loop formation, resulting in a high-quality and efficient warp-weft interlocking fabric. Therefore, circular knitting machines are widely used in the mechanized textile industry. For companies utilizing circular knitting machines, especially those operating multiple machines simultaneously, the application and real-time monitoring of these machines are indispensable. The components of a circular knitting machine include a main shaft motor, cylinder (cam), winding rollers, and drive belts. Due to the different performance characteristics and working environments of each mechanical component, different frequencies and amplitudes of mechanical vibration will occur. Inevitably, wear, damage, and aging of components will lead to changes in the vibration frequency, amplitude, and original motor output speed of the circular knitting mechanism. Furthermore, the output equipment of circular knitting machines in various industries is now complex; therefore, improving the accuracy of circular knitting machine testing technology is particularly important, and real-time monitoring of the working status of each component is of great significance.

[0003] To determine whether the components of a circular knitting machine are in normal working condition, traditional mechanical industry inspection methods typically involve installing multiple control sensors on each machine for real-time monitoring. However, for circular knitting machines with complex wiring or those requiring more complex inspections, the inspection results are often poor or fail to function properly, resulting in high costs, wasted time, and ultimately unsatisfactory inspection outcomes. Summary of the Invention

[0004] The purpose of this invention is to solve the problem of complex wiring of multiple control sensors, poor detection effect or frequent failure to detect normally, and to propose a real-time monitoring method for the working status of a circular knitting machine.

[0005] To achieve the above objectives, the technical solution provided by this invention is as follows:

[0006] The real-time monitoring method for the working status of the circular knitting machine includes:

[0007] The central vibration sensor acquires vibration data from multiple moving parts and transmits it to the microcontroller.

[0008] The microcontroller integrates and processes the vibration data to form a synthetic signal, which is then transmitted to the computer.

[0009] The computer generates a composite signal vibration image based on the composite signal, and then separates the composite signal vibration image into several amplitude-frequency images corresponding to each moving part through continuous Fourier transform.

[0010] The computer or microcontroller performs error judgment and numerical analysis based on the amplitude-frequency image of each moving part to obtain the judgment result, and makes corresponding adjustments to the moving part based on the judgment result.

[0011] Furthermore, the vibration data includes amplitude and angular frequency.

[0012] Furthermore, the synthesized signal vibration image is expressed by the following formula:

[0013] Y = f(t) = A * sin(w * t+Φ)

[0014] Where Y represents the vibration image of the synthesized signal, f(t) represents the time-domain expression of the synthesized signal, and A * w represents the total amplitude during actual operation. * The total angular frequency represents the actual working state, t represents the running time of the current moving part, and Φ represents the total initial phase.

[0015] Furthermore, the step of separating the synthesized signal vibration image into several amplitude-frequency images corresponding to each moving part through continuous Fourier transform includes:

[0016] A continuous Fourier transform is performed on the synthesized signal vibration image to separate it into several amplitude-frequency images corresponding to each moving part. The amplitude-frequency image corresponding to each moving part is expressed by the following formula:

[0017] f i (t)=A i * sin(w i * t+Φ i )

[0018] Among them, f i (t) represents the time-domain expression of the vibration data of the i-th moving part, that is, the amplitude-frequency image corresponding to the i-th moving part, A i * w represents the amplitude of the i-th moving part in its actual working state. i * Let ω represent the angular frequency of the i-th moving part in its actual working state, t represent the running time of the current moving part, and Φ represent the angular frequency of the i-th moving part in its actual working state. i This represents the initial phase of the i-th moving part.

[0019] Furthermore, the computer or microcontroller performs error judgment and numerical analysis based on the amplitude-frequency image of each moving part to obtain a judgment result, and makes corresponding adjustments to the moving parts based on the judgment result, including:

[0020] Set the actual working status data to the actual measured value X. * The actual measured value X * Including the amplitude A during actual operation * Angular frequency w in actual working condition * The initial parameter values ​​are the initial calibration values ​​X, where X includes the initial amplitude A and the initial angular frequency ω, and the relative error limit ε. * =5%, of which:

[0021] Relative error:

[0022] Relative error limit:

[0023] Let, condition ①: A i * -ε * i i * +ε * ;

[0024] Condition ②: w i * -ε * <w i <w i * +ε * ;

[0025] If State1: satisfies both condition ① and condition ②, or the actual measured value X * If the relative error with respect to the initial calibration value X is less than or equal to the relative error limit, then the circular knitting machine is operating normally.

[0026] If State0: Condition ① is not met, then: the circular knitting machine malfunctions; an alarm is generated;

[0027] When, State2: the amplitude A in the actual working state * The relative error of the amplitude A in the initial state is greater than the relative error limit, and the amplitude A in the actual working state is greater than the relative error limit. * The amplitude A is greater than or equal to that in the initial state, corresponding to the rotational speed n of the circular knitting machine. i If the speed is too fast, the microcontroller will use a PID control algorithm to slow down the spindle motor.

[0028] When, State3: the amplitude A in the actual working state​​* The relative error of the amplitude A in the initial state is greater than the relative error limit, and the amplitude A in the actual working state is greater than the relative error limit. * The amplitude A is less than that in the initial state, corresponding to the rotational speed n of the circular knitting machine. i If it is too slow, the microcontroller will use a PID control algorithm to speed up the spindle motor.

[0029] If State0: Condition ② is not met, the circular knitting machine malfunctions and an alarm is generated;

[0030] When, State4: the angular frequency w in the actual working state * The relative error between the angular frequency w in the initial state and the actual operating angular frequency w is greater than the relative error limit. * The angular frequency w is greater than or equal to that in the initial state, corresponding to the rotational speed n of the circular knitting machine. i If the speed is too fast, the microcontroller will use a PID control algorithm to slow down the spindle motor.

[0031] When, State5: the angular frequency w in the actual working state * The relative error between the angular frequency w in the initial state and the actual operating angular frequency w is greater than the relative error limit. * The angular frequency w is less than that at the initial state, corresponding to the rotational speed n of the circular knitting machine. i If the speed is too slow, the spindle motor will stop abruptly.

[0032] Wherein, actual working state represents the current state of the moving parts, initial state represents the factory state of the moving parts, A i w represents the amplitude of the i-th moving part of the circular knitting machine in its initial state. i Let A represent the angular frequency of the i-th moving part of the circular knitting machine in its initial state. i * w represents the amplitude of the i-th moving part of the circular knitting machine in its actual working state. i * The angular frequency of the i-th moving part of the circular knitting machine in its actual working state is represented by n. i This represents the rotational speed of the i-th moving part when the circular knitting machine is working.

[0033] Furthermore, it also includes a data collector.

[0034] The data acquisition unit is used to receive the synthesized signal from the microcontroller and send the synthesized signal to the computer.

[0035] The data acquisition unit is also used to receive the amplitude-frequency image or judgment result of each moving part sent by the computer, and send the amplitude-frequency image or judgment result of each moving part to the microcontroller.

[0036] Compared with existing technologies, the significant advantages of this invention are: based on microcontroller control technology, it acquires the overall synthetic signal of the circular knitting machine in real time through a central vibration sensor, performs continuous Fourier transform on the vibration image of the synthetic signal to obtain the amplitude-frequency characteristics of each moving part, compares them with the initial calibration values, and performs real-time control, thereby realizing real-time online monitoring of the moving parts of the circular knitting machine. This effectively improves the level of intelligence and automation in textile workshops. Attached Figure Description

[0037] Figure 1 This is a flowchart of a method for real-time monitoring of the working status of a circular knitting machine according to the present invention;

[0038] Figure 2 This is an overall control diagram of a real-time monitoring method for the working status of a circular knitting machine according to the present invention;

[0039] Figure 3 This is a flowchart illustrating the computer-based computation and feedback mechanism of this invention.

[0040] Figure 4 This is a flowchart illustrating the feedback mechanism implemented by the microcontroller in this invention.

[0041] Figure 5 This is a schematic diagram of the transmission signals for the PID control algorithm of this invention. Detailed Implementation

[0042] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0043] like Figures 1-2 As shown, this invention provides a real-time monitoring method for the working status of a circular knitting machine. A central vibration sensor acquires vibration data from multiple moving parts and transmits it to a microcontroller. The microcontroller integrates and processes the vibration data to form a synthetic signal, which is then transmitted to a computer. The integration and processing includes collection, storage, and packaging. The computer generates a synthetic signal vibration image and separates it into several amplitude-frequency images corresponding to each moving part. The computer or microcontroller performs error judgment and numerical analysis based on the amplitude-frequency image of each moving part to obtain a judgment result, and makes corresponding feedback processing based on the judgment result.

[0044] In one embodiment, the circular knitting machine can first be broken down into several specific moving parts (such as a syringe, main spindle motor, roller, and drive belt). Then, when the circular knitting machine starts working, these specific moving parts also begin to work. To detect whether these parts are working continuously and normally, the image transformation of the Fourier function can be used to separate the specific angular frequency (ω)-amplitude (A) images of the corresponding moving parts. The specific images are used to determine whether the corresponding motor speed is normal. This allows for the determination of whether the components are working normally, thereby achieving real-time monitoring of the circular knitting machine's operation.

[0045] At the start of the test, the initial rotational speeds n of the syringe, spindle motor, roller, and drive belt are known. i (i = 1, 2, 3, 4), amplitude A i (i = 1, 2, 3, 4) and angular frequency w i (i = 1, 2, 3, 4). Then, the motors of these components can be connected to the same central vibration sensor. The central vibration sensor collects total vibration data in real time, and then transmits the collected vibration data to the microcontroller. The microcontroller then performs preliminary signal integration processing and, using communication protocols (such as serial port, RS-485, Ethernet, WiFi, Bluetooth, etc.), transmits the final synthesized signal to the computer PC.

[0046] like Figures 3-4 As shown, after the microcontroller receives the synthesized signal on the computer, a synthesized signal vibration image can be generated.

[0047] Y = f(t) = A * sin(w * t+Φ)

[0048] Where Y represents the vibration image of the synthesized signal, f(t) represents the time-domain expression of the synthesized signal, and A * w represents the total amplitude during actual operation. * The total angular frequency represents the actual working state, t represents the running time of the current moving part, and Φ represents the total initial phase.

[0049] Perform a continuous Fourier transform on the synthesized signal vibration image to separate it into several amplitude-frequency images corresponding to each moving part:

[0050]

[0051] Among them, a i f represents the vibration damping coefficient of the i-th moving part. i(t) represents the time-domain expression of the vibration data of the i-th moving part, that is, the amplitude-frequency image of the i-th moving part, where m represents the number of moving parts, i∈[1,m].

[0052] The amplitude-frequency image for each moving part is expressed by the following formula:

[0053] f i (t)=A i * sin(w i * t+Φ i )

[0054] Among them, A i * w represents the amplitude of the i-th moving part in its actual working state. i * Let ω represent the angular frequency of the i-th moving part in its actual working state, t represent the running time of the current moving part, and Φ represent the angular frequency of the i-th moving part in its actual working state. i This represents the initial phase of the i-th moving part.

[0055] If all four signals are periodic signals, then they can be expressed as: f(t) = a1f1(t) + a2f2(t) + a3f3(t) + a4f4(t); the period T is equal to the least common multiple of the periods of these four expressions. Since w i * = The total angular frequency can be separated into w1 * w2 * w3 * and w4 * Then, through analysis of the Fourier function graph on the computer, a set of vibration data is uploaded every ten seconds, and the complex composite vibration image Y is analyzed by an algorithm and transformed into four separate signal vibration images: After further analysis and integration on the computer, the angular frequencies (ω) of these four moving parts can be displayed on the screen. i )—amplitude (A i )image: (syringe) (spindle motor) (rolling) (Transmission belt). And compare it with the initial state image values ​​of the four mechanical components (the calibration values ​​of the mechanical components when they leave the factory). After the comparison is completed, the error judgment and numerical analysis of the four sets of angular frequencies and amplitudes are performed respectively; thus, it is possible to realize real-time monitoring of each mechanical component of the circular knitting machine and determine whether the circular knitting machine is in a normal working state.

[0056] Error judgment and numerical analysis (determining whether the circular knitting machine is working properly):

[0057] Set the actual working status data to the actual measured value X. * (X * =A * w * The initial parameter values ​​are the initial calibration values ​​X (X = A, w); the relative error limit ε * =5%; then we have:

[0058] Relative error:

[0059] Relative error limit:

[0060] Let, condition ①: A i * -ε * i i * +ε * ;

[0061] Condition ②: w i * -ε * <w i <w i * +ε * ;

[0062] [Note]: A i (i = 1, 2, 3, 4) represent the amplitude of the circular knitting machine in its initial state, where A1 refers to the amplitude of the needle cylinder in its initial state, A2 refers to the amplitude of the main spindle motor in its initial state, A3 refers to the amplitude of the winding roll in its initial state, and A4 refers to the amplitude of the drive belt in its initial state; w i (i = 1, 2, 3, 4) represent the angular frequencies at the initial state of the circular knitting machine, where w1 represents the angular frequency at the initial state of the needle cylinder, w2 represents the angular frequency at the initial state of the main spindle motor, w3 represents the angular frequency at the initial state of the winding roll, and w4 represents the angular frequency at the initial state of the drive belt; A i * (i = 1, 2, 3, 4) represents the amplitude when the circular knitting machine is in actual working condition, where A1 * A2 refers to the amplitude of the syringe during its actual working state. * Refers to the amplitude of the spindle motor during actual operation, A3 * Refers to the amplitude of the roller during actual operation, A4 * Refers to the amplitude of the transmission belt during actual operation; w i * ​​(i = 1, 2, 3, 4) represents the angular frequency of the circular knitting machine in its actual working state, where w1 * Refers to the angular frequency and w2 of the syringe during its actual working state. * Refers to the angular frequency of the spindle motor during actual operation, w3 * Refers to the angular frequency of the roller during actual operation, w4 * Refers to the angular frequency of the belt during its actual working state.

[0063] State 1: Simultaneously satisfies both conditions ① and ②, or the actual measured value X * If the relative error with respect to the initial calibration value X is less than or equal to the relative error limit, then: return1. This indicates that the circular knitting machine is working normally; the screen pop-up window is normal, the green light is on, and the buzzer does not sound.

[0064] If State0 does not meet condition ①, it means: (The circular knitting machine is malfunctioning; a return0 signal is sent to the microcontroller, which generates an error message through the PID control system (buzzer alarm / computer pop-up / LED flashing / emergency stop, etc.; indicating an abnormality.)

[0065] State2: Amplitude A i * (A1 * / A2 * / A3 * / A4 * The amplitude A is too large, meaning it is too large in actual working condition. * The relative error of the amplitude A in the initial state is greater than the relative error limit, and the amplitude A in the actual working state is greater than the relative error limit. * The amplitude A is greater than or equal to that in the initial state.

[0066] Corresponding rotational speed n of circular knitting machine i If (n1 / n2 / n3 / n4) is too fast, the return2 signal is sent to the microcontroller to control it to slow down; an abnormal pop-up window (amplitude too high) appears on the screen, the yellow light flashes, and the buzzer sounds.

[0067] State3: Amplitude (A1 * / A2 * / A3 * / A4 * The amplitude A is too small, meaning it is too small in actual working conditions. * The relative error of the amplitude A in the initial state is greater than the relative error limit, and the amplitude A in the actual working state is greater than the relative error limit. * The amplitude A is less than that in the initial state.

[0068] Corresponding rotational speed n of circular knitting machine iIf (n1 / n2 / n3 / n4) is too slow, the return3 signal is sent to the microcontroller to control it to speed up; if an abnormal pop-up window appears on the screen (amplitude too low), the yellow light flashes and the buzzer sounds.

[0069] If State0: Condition ② is not met, then it means: (The circular knitting machine is malfunctioning; the return0 signal is sent to the microcontroller, which generates an error message through the PID control system (buzzer alarm / computer pop-up / LED flashing / emergency stop, etc.).

[0070] State4: Angular frequency w i * (w1 * / w2 * / w3 * / w4 * The value is too high, meaning the angular frequency ω in actual operating conditions is too large. * The relative error between the angular frequency w in the initial state and the actual operating angular frequency w is greater than or equal to the relative error limit. * It is greater than the angular frequency w in the initial state.

[0071] Then the corresponding rotational speed n of the circular knitting machine i If (n1 / n2 / n3 / n4) is too fast, the return4 signal is sent to the microcontroller to control it to slow down; an abnormality (speed too high) pop-up window appears on the screen, the yellow light flashes, and the buzzer sounds.

[0072] State5: Angular frequency w i * (w1 * / w2 i / w3 * / w4 * The value is too small, meaning the angular frequency ω in actual operating conditions is too low. * The relative error between the angular frequency w in the initial state and the actual operating angular frequency w is greater than the relative error limit. * It is less than the angular frequency w in the initial state.

[0073] Then the corresponding rotational speed n of the circular knitting machine i If (n1 / n2 / n3 / n4) is too slow, an abnormal pop-up window will appear, the red light will flash, a buzzer will sound, and the spindle motor will stop abruptly.

[0074] [Note]: n i (i = 1, 2, 3, 4) represents the rotational speed of the internal moving parts when the circular knitting machine is working. Among them, n1 refers to the rotational speed of the needle cylinder, n2 refers to the rotational speed of the main spindle motor, n3 refers to the rotational speed of the roller, and n4 refers to the rotational speed of the belt.

[0075] Fault indication method:

[0076] When State0 does not simultaneously satisfy conditions ① and ② (circular knitting machine malfunction), there are two feedback paths:

[0077] Because some microcontrollers have weak computing power and lack the ability to perform numerical calculations and error judgments on images, a computer is needed to provide computational feedback. If the microcontroller has strong computing power, it can be used for computational feedback.

[0078] Computer processing feedback:

[0079] By performing numerical calculations and error assessments on the images using a computer, a malfunction in the circular knitting machine was detected. The computer then displays a pop-up window indicating which moving part of the machine (rotation speed n) is malfunctioning. i (Too fast / slow); and cause the buzzer to sound an alarm (the four alarm sounds correspond to the four components of the circular knitting machine) or cause the LED lights to flash instantly (the four lights correspond to the four components of the circular knitting machine). Then, the microcontroller uses PID to adjust and control it differently to achieve the ideal effect of stable operation of the circular knitting machine; or directly stop the circular knitting machine to achieve a work pause state.

[0080] Microcontroller operation feedback:

[0081] Four image signals are transmitted from the computer to the microcontroller. The microcontroller then performs numerical calculations and error judgments on the images. If a malfunction is detected in the circular knitting machine, the computer will display a pop-up window reminding the user which moving part of the machine is experiencing a speed problem (speed n too fast / slow); it will also trigger an alarm (four sounds corresponding to the four components of the circular knitting machine) or cause the LEDs to flash (four lights corresponding to the four components). The microcontroller adjusts and controls the machine in different ways based on the detection results to achieve a stable operating state or to stop it from operating altogether.

[0082] The explanation of the continuous Fourier transform is as follows (the continuous Fourier transform is performed on the continuously periodic synthesized signal to obtain the amplitude-frequency and phase-frequency characteristics of each moving part):

[0083] Fourier transform of periodic signals:

[0084] Any periodic function (signal) x(t) in a finite interval If the function x(t) satisfies the Dirichlet conditions, i.e., it is continuous or has only a finite number of discontinuities of the first kind; and has only a finite number of extreme points and is convergent, then the function x(t) can be expanded into a Fourier series. The Fourier trigonometric series expansion is:

[0085]

[0086] In the formula: x(t) is the Fourier expression of the synthesized signal;

[0087] w0 is the fundamental angular frequency generated by the vibration of the circular weaving machine. f0 is the vibration frequency generated by the circular knitting machine.

[0088] a0 represents the amplitude component generated by the vibration of the circular knitting machine;

[0089] a n Let a be the amplitude of the cosine component of the nth harmonic component of the circular knitting machine vibration, and let a be the amplitude of the cosine component of the i-th moving part. i The amplitude a is equal to the cosine component of the nth harmonic component. n That is, a i =a n (When i = 1, 2, 3, 4, they represent the amplitudes of the cosine vibrations of the syringe, main spindle motor, roller, and drive belt, respectively; n = 1, 2, 3, 4...);

[0090] b n Let b be the amplitude of the sinusoidal component of the nth harmonic component of the circular knitting machine vibration, and b be the amplitude of the sinusoidal component of the i-th moving part. i The amplitude b is equal to the sinusoidal component of the nth harmonic component. n That is, b i =b n (When i = 1, 2, 3, 4, they represent the amplitude of the sinusoidal vibration of the syringe, main spindle motor, roller, and drive belt, respectively; n = 1, 2, 3, 4...).

[0091] in,

[0092] In the formula: a n b n The function representing nw0, i.e., a n =a n (nw0),b n =b n (nw0).

[0093] make, Substituting into the above equation, we get

[0094]

[0095] In the formula,

[0096] Among them, A n Let A represent the vibration amplitude of the nth harmonic component of the circular knitting machine, and let A represent the vibration amplitude of the ith moving part. i It is equal to the vibration amplitude of the nth harmonic component, i.e., A. i =A n(When i = 1, 2, 3, 4, they represent the amplitude of the working vibration of the syringe, main spindle motor, roller, and drive belt, respectively; n = 1, 2, 3, 4...);

[0097] Let represent the phase angle of the nth harmonic component of the circular knitting machine vibration, and the phase angle of the ith moving part. It is equal to the phase angle of the nth harmonic component, that is... (When i = 1, 2, 3, 4, they represent the phase angles generated by the working vibrations of the syringe, main spindle motor, roller, and transmission belt, respectively; n = 1, 2, 3, 4...).

[0098] Explanation of the PID control algorithm:

[0099] like Figure 5 As shown, PID control is one of the most widely used control methods in industrial production. Its greatest advantage is that it does not require knowledge of the precise mathematical model of the controlled object. It only requires online adjustment of the proportional coefficient K based on simple parameters such as the deviation between the controlled variable and the given value, and the rate of change of the deviation, using engineering methods. p (Constant coefficients during normal operation of the circular knitting machine), integral of the working time of the circular knitting machine K I and the differential K of the working time of the circular knitting machine D By adjusting these three parameters, satisfactory results can be obtained. The differential equation of the PID control algorithm is:

[0100]

[0101] Where e(t) is the deviation between the ideal and actual values ​​when the circular knitting machine is working (including working amplitude A, angular frequency ω, etc.); K p K represents the constant coefficients during normal operation of the circular knitting machine. I Integral of working time of circular knitting machine; K D The differential of the working time of the circular knitting machine; t is the time interval from the start of adjustment of the circular knitting machine to the output of the current control quantity (amplitude, frequency, etc.).

[0102] The embodiments described above are merely illustrative of one or more implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these all fall within the scope of protection of the present invention. Therefore, the scope of protection of this invention should be determined by the appended claims.

Claims

1. A method for real-time monitoring of the working status of a circular knitting machine, characterized in that, The real-time monitoring method for the working status of the circular knitting machine includes: The central vibration sensor acquires vibration data from multiple moving parts and transmits it to the microcontroller. The microcontroller integrates and processes the vibration data to form a synthetic signal, which is then transmitted to the computer. The computer generates a composite signal vibration image based on the composite signal, and then separates the composite signal vibration image into several amplitude-frequency images corresponding to each moving part through continuous Fourier transform. The computer or microcontroller performs error judgment and numerical analysis based on the amplitude-frequency image of each moving part to obtain the judgment result, and makes corresponding adjustments to the moving part based on the judgment result; in, The synthesized signal vibration image is expressed by the following formula: ； Where Y represents the composite signal vibration image, The time-domain expression of the synthesized signal. This represents the total amplitude under actual working conditions. The total angular frequency represents the actual operating frequency, and t represents the running time of the moving part. Indicates the total initial phase; in, The process of separating the synthesized signal vibration image into several amplitude-frequency images corresponding to each moving part through continuous Fourier transform includes: A continuous Fourier transform is performed on the synthesized signal vibration image to separate it into several amplitude-frequency images corresponding to each moving part. The amplitude-frequency image corresponding to each moving part is expressed by the following formula: ； in, The time-domain expression representing the vibration data of the i-th moving part is the amplitude-frequency image corresponding to the i-th moving part. This represents the amplitude of the i-th moving part in its actual working state. This represents the angular frequency of the i-th moving part in its actual working state. Indicates the current running time of the moving part. This represents the initial phase of the i-th moving part; in, The computer or microcontroller performs error judgment and numerical analysis based on the amplitude-frequency image of each moving part to obtain a judgment result, and makes corresponding adjustments to the moving parts based on the judgment result, including: Set the data for the actual working state to the actual measured values. The actual measured value Angular frequency in actual working condition The initial parameter value is the initial calibration value X, where X includes the initial amplitude A and the initial angular frequency ω, and the relative error limit. =5%, of which: Relative error: ; Relative error limit: 5% > ; Let, condition ①: ; Condition 2: ; If State1: satisfies both condition ① and condition ②, or the actual measured value If the relative error with respect to the initial calibration value X is less than or equal to the relative error limit, then the circular knitting machine is operating normally. If State0: Condition ① is not met, then: the circular knitting machine malfunctions; an alarm is generated; When, State2: Amplitude during actual working state The relative error between the amplitude A in the initial state and the amplitude A in the actual working state is greater than the relative error limit, and the amplitude A in the actual working state is greater than the relative error limit. The amplitude A, which is greater than or equal to that in the initial state, corresponds to the rotational speed of the circular knitting machine. If the speed is too fast, the microcontroller will use a PID control algorithm to slow down the spindle motor. When State3: Amplitude during actual working state The relative error between the amplitude A in the initial state and the amplitude A in the actual working state is greater than the relative error limit, and the amplitude A in the actual working state is greater than the relative error limit. The amplitude A is less than that in the initial state, corresponding to the rotational speed of the circular knitting machine. If it is too slow, the microcontroller will use a PID control algorithm to speed up the spindle motor. If State0: Condition ② is not met, the circular knitting machine malfunctions and an alarm is generated; When, State4: angular frequency in the actual working state The relative error between the angular frequency w in the initial state and the actual operating angular frequency is greater than the relative error limit. The angular frequency w, which is greater than or equal to that in the initial state, corresponds to the rotational speed of the circular knitting machine. If the speed is too fast, the microcontroller will use a PID control algorithm to slow down the spindle motor. When State5: Angular frequency in actual operating state The relative error between the angular frequency w in the initial state and the actual operating angular frequency is greater than the relative error limit. The angular frequency w is less than that at the initial state, corresponding to the rotational speed of the circular knitting machine. If the speed is too slow, the spindle motor will stop abruptly. The actual working state refers to the current state of the moving parts, while the initial state refers to the factory state of the moving parts. This represents the amplitude of the i-th moving part of the circular knitting machine in its initial state. Let represent the angular frequency of the i-th moving part of the circular knitting machine in its initial state. This represents the amplitude of the i-th moving part of the circular knitting machine in its actual working state. This represents the angular frequency of the i-th moving part of the circular knitting machine in its actual working state. This represents the rotational speed of the i-th moving part when the circular knitting machine is working.

2. The real-time monitoring method for the working status of a circular knitting machine according to claim 1, characterized in that, The vibration data includes amplitude and angular frequency.

3. The real-time monitoring method for the working status of a circular knitting machine according to claim 1, characterized in that, It also includes a data collector. The data acquisition unit is used to receive the synthesized signal from the microcontroller and send the synthesized signal to the computer. The data acquisition unit is also used to receive the amplitude-frequency image or judgment result of each moving part sent by the computer, and send the amplitude-frequency image or judgment result of each moving part to the microcontroller.

Images