Weaving machine intelligent roll changing system based on integration of internet of things

Abstract

The invention discloses a weaving machine intelligent roll changing system based on Internet of Things integration, and belongs to the technical field of textile production, the system comprises a sensor interface module, a data storage library, a remote connection module, a data analysis module, an automatic control module and an operation interface; the sensor interface module is used for acquiring real-time data of the weaving machine through a sensor; the data storage library is used for receiving and storing real-time data of the weaving machine; the data analysis module processes and analyzes the real-time data of the weaving machine and issues a control command to the automatic control module; the automatic control module is used for executing and monitoring intelligent roll changing operation; the operation interface displays real-time data and alarm conditions of the weaving machine; and the remote connection module is used for data transmission and communication among the modules in the loom system. Real-time monitoring and intelligent roll changing are carried out; when abnormal data is monitored, the system is immediately paused, and an alarm is given; abnormal error correction is recorded and learned.

Description

Technical Field

[0001] The invention relates to the technical field of textile production, and in particular to an intelligent roll changing system for a loom based on the integration of the Internet of Things. Background Art

[0002] With the development of science and technology, intelligent systems are increasingly appearing in various industrial manufacturing. In the modern textile industry, the intelligent roll changing system is one of the key technologies to improve production efficiency and product quality. In traditional textile production, the roll changing process usually requires a lot of manual operation, and there are problems such as low production efficiency and human errors. In order to improve production efficiency and reduce material waste, some factories have adopted inductive roll changing technology, which detects the residual length of the roll or the preset diameter reached by photoelectric sensors or other sensors, and automatically controls the operation of the winding machine. However, during the automatic roll changing process, the yarn tension exceeds the threshold, resulting in yarn breakage or excessive stretching; when using different looms and different yarn types, the system is difficult to adapt, and the operator needs to reinstall the sensor and set the parameters based on experience, which is prone to human errors and has high costs. When there is a problem with the equipment, it is also difficult to respond immediately. Summary of the invention

[0003] The purpose of the present invention is to provide an intelligent roll changing system for a loom based on Internet of Things integration to solve the problems raised in the above background technology.

[0004] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0005] An intelligent roll changing system for a loom based on the integration of the Internet of Things, the system comprising: a sensor interface module, a data storage library, a remote connection module, a data analysis module, an automatic control module and an operation interface;

[0006] The sensor interface module collects the real-time data of the loom through sensors, and transmits the real-time data of the loom to the data storage library in encrypted form through secure communication; the data storage library is used to receive the real-time data of the loom, decode it, and store it in the cloud server; transmit the real-time data of the loom to the data analysis module; the data analysis module compares and analyzes the real-time data of the loom with the historical data in the data storage library, analyzes the type, width and thickness changes of the yarn by using an adaptive control algorithm, and issues a control command to the automation control module; the automation control module is used to receive the control command issued by the data analysis module and perform a roll-changing operation; adjust the parameters of the loom in real time, including the speed of the loom, the force of the cloth rolling and the position of the yarn, so as to ensure the stability of the yarn tension during the yarn changing process; the operation interface provides a graphical interface for the operator, displays the real-time data of the loom and the alarm status, and supports the operator to monitor the status of the loom in real time and intervene in the operation; the remote connection module uses ZigBee wireless communication technology to ensure safe and efficient data transmission between the sensor interface module, the data storage library, the data analysis module, the automation control module and the operation interface.

[0007] According to the above technical solution, the sensor includes a tension sensor, a diameter sensor, a speed sensor and a photoelectric sensor; the tension sensor collects the real-time tension of the yarn; the diameter sensor collects the real-time diameter of the yarn roll; the speed sensor collects the real-time operating speed of the loom and the roll-changing device; the photoelectric sensor collects the real-time position and diameter of the yarn; the real-time data of the loom includes the real-time tension of the yarn, the real-time diameter of the yarn roll, the real-time operating speed of the loom and the roll-changing device, and the real-time position and diameter of the yarn;

[0008] The real-time tension of the yarn is collected to monitor the stretching of the yarn, ensure the stability and quality of the yarn during the production process, and avoid yarn breakage or excessive stretching; the real-time diameter of the yarn roll is collected to predict the remaining amount of yarn and to determine whether to perform intelligent roll changing operations to avoid production interruptions caused by the yarn roll running out; the real-time movement speed of the loom and roll changing equipment is collected to ensure the smooth progress of the intelligent roll changing operation and help detect the status of the loom during operation; the real-time position and diameter of the yarn can monitor the status of the yarn in real time and help the operator to complete the judgment of the yarn condition.

[0009] According to the above technical solution, the data analysis module receives the real-time data of the loom, processes and analyzes that when the diameter of the yarn roll reaches the intelligent roll-changing interval, it issues an intelligent roll-changing command to the automation control module, and transmits the real-time data of the loom to the operation interface for display;

[0010] When performing intelligent roll changing, the data analysis module uses an adaptive control algorithm to detect changes in yarn tension based on the real-time data of the loom collected by the sensor interface module, and issues a command to the automation control module to automatically adjust the parameters of the loom; the adaptive closed-loop control algorithm analyzes changes in the type, width and thickness of the yarn on the loom based on the real-time data of the loom, sets the ideal yarn tension, and issues a command to the automation control module to automatically adjust the parameters of the loom so that the actual tension is close to the set ideal tension value;

[0011] The automation control module starts the intelligent roll changing operation when receiving the intelligent roll changing command; automatically adjusts the parameters of the loom through the command of automatically adjusting the loom parameters issued by the data analysis module;

[0012] The sensor interface module feeds back the adjusted real-time data of the loom to the data analysis module to complete the closed-loop control, real-time feedback and adjustment, and maintain the stability of the yarn tension;

[0013] Real-time adjustment of the loom speed, cloth winding force and yarn position can ensure the stability of tension and solve the problem of yarn breakage caused by uneven tension during the loom's intelligent winding process, thereby improving production efficiency and product quality.

[0014] According to the above technical solution, the data analysis module obtains the timing of intelligent roll change by detecting and calculating the yarn rolls, and the formula is:

[0015] L=srd

[0016] The yarn roll is a circular ring with a yarn roll core, where L represents the diameter of the current remaining yarn roll, which is the width of the current ring; s represents the diameter of the initial yarn roll, which is the diameter of the initial outer circle; r represents the diameter of the yarn roll core, which is the diameter of the inner circle; d represents the diameter of the yarn roll collected by the diameter sensor, which is the current outer circle diameter;

[0017] When the diameter of the remaining yarn roll reaches the intelligent roll-changing interval, the data analysis module issues an intelligent roll-changing command to the automation control module;

[0018] Predicting the diameter of the yarn roll can help to change the roll in time before the yarn runs out, avoiding loom shutdown and excessive yarn waste due to the yarn roll running out. At the same time, intelligent roll changing operations are performed based on the real-time data of the loom, and multi-faceted auxiliary monitoring helps the intelligent roll changing operation to proceed smoothly, improve the accuracy and success rate of roll changing, reduce production costs and scrap rates, and improve production efficiency.

[0019] According to the above technical solution, the adaptive control algorithm includes: calculating the error of the current yarn tension, the formula is:

[0020] m(t)=Y(i)-Y(t)

[0021] Where m(t) represents the error of the current yarn tension; Y(i) represents the ideal yarn tension; Y(t) represents the actual detected yarn tension; the ideal yarn tension is the tensile force that one centimeter of yarn can withstand, in centinewon, and the general yarn tension is 20 centinewon;

[0022] The controller output is calculated based on the error, and the loom parameters are adjusted to keep the yarn tension stable. The controller output formula is:

[0023]

[0024] Where u(t) represents the output of the controller; m(t) represents the error of the current yarn tension; Y p Expressed as a proportionality coefficient; Y i Expressed as the integral time constant; Y d Expressed as the differential time constant; Y p ×m(t) is a proportional term, which is adjusted according to the error of the current yarn tension; is an integral term, which is adjusted according to the accumulated error of yarn tension; is a differential term, which is adjusted according to the rate of change of the error of yarn tension;

[0025] Proportional part: directly reflects the size of the input deviation signal. The larger the deviation, the larger the output signal, which helps to quickly reduce the deviation; Integral part: integrates the time-accumulated deviation, which helps to eliminate the steady-state error of the system; Differential part: predicts the change trend of the deviation and makes adjustments in advance, which helps to reduce overshoot and improve the stability of the system;

[0026] Sending adjustment commands to the automation control module, and receiving real-time loom data fed back by the sensor interface module in real time, and performing calculation and adjustment output;

[0027] Adaptive control can optimize the control algorithm in real time, so that the system can maintain good performance in the face of different looms or different yarns, be more efficient and stable, and achieve higher control accuracy and production efficiency.

[0028] According to the above technical solution, the data analysis module compares and analyzes the real-time data of the loom with the historical loom data in the data storage library; when the data analysis module compares and analyzes that the real-time data of the loom is abnormal, the data analysis module communicates the abnormal situation to the operation interface and suspends the operation of the loom;

[0029] The anomalies include abnormal tension of the yarn on the loom, abnormal speed of the roll changing equipment or the loom equipment, abnormal thickness of the yarn roll and yarn position deviation.

[0030] According to the above technical solution, the operation interface module displays the real-time data of the loom and the alarm conditions, wherein the real-time data of the loom includes the real-time tension of the yarn, the real-time diameter of the yarn roll, the real-time running speed of the loom and the roll changing device, the real-time position and diameter of the yarn, and the roll changing progress; the alarm conditions include abnormal tension of the yarn on the loom, abnormal speed of the roll changing device or the loom equipment, abnormal thickness of the yarn roll, and yarn position deviation;

[0031] The operation interface provides operators with a simple and clear observation interface, through which operators can understand the operating status and alarm status of the loom in detail; the simple and clear observation interface helps operators better monitor the loom and quickly understand the status of the loom.

[0032] According to the above technical solution, when an alarm occurs on the operation interface, the operator understands the abnormality of the loom according to the alarm, queries the alarm on the operation interface, and the operation interface submits a request for viewing relevant data to the data storage library, and the data storage library transmits the relevant alarm data to the operation interface for display according to the request;

[0033] The operator makes corrections according to the alarm data, and the corrections include adjusting loom parameters, resetting the system, replacing the faulty loom, or repairing the loom;

[0034] The operation interface module records the abnormal situations and the alarm corrective measures of the operators, and transmits the relevant data to the data storage module for archiving. The data analysis module further analyzes and learns, and continuously improves the efficiency and accuracy of the intelligent roll changing process through accumulated operations.

[0035] According to the above technical solution, by selecting a loom real-time data or alarm situation through the operation interface, you can enter the relevant historical data access interface;

[0036] The real-time data of the loom includes the real-time tension of the yarn, the real-time diameter of the yarn roll, the real-time running speed of the loom and the roll changing device, the real-time position and diameter of the yarn, and the roll changing progress; the alarm conditions include abnormal tension of the yarn on the loom, abnormal speed of the roll changing device or the loom equipment, and yarn position deviation;

[0037] The historical data access interface has multiple query conditions, including time range, loom number and work order number; the operator selects the query conditions as needed to narrow the scope of historical data and find the corresponding data; the data includes yarn tension, yarn roll diameter, loom running speed, roll change progress, and historical alarm conditions and operator adjustment measures.

[0038] Operators can query historical data through the operation interface, which helps operators understand the historical data accumulated by the loom intelligent roll changing system, helps operators find and understand abnormal data of the loom, and better complete production tasks.

[0039] According to the above technical solution, the remote connection module uses ZigBee wireless communication technology to complete data transmission and communication between modules inside the loom system. ZigBee technology is designed for low-power applications, so that the loom intelligent roll changing system can run for a long time without frequent battery replacement or charging; ZigBee chips and modules are relatively low in cost, which can reduce the deployment cost of the overall system; and the use of ZigBee wireless communication technology realizes the integration of the Internet of Things, improving the security of data transmission.

[0040] Compared with the prior art, the beneficial effects achieved by the present invention are:

[0041] 1. Real-time collection of loom operation data through a variety of sensors. The combined action of multiple sensors ensures the accuracy of roll change, reduces material waste during roll change, and ensures the accuracy of abnormal monitoring;

[0042] 2. The data analysis module adopts an adaptive control algorithm to effectively calculate and adjust the tension of the yarn on the loom, maintain the yarn tension when the loom changes rolls, and complete the intelligent roll changing operation; it can adapt to various types of looms and yarn types, improve the stability and efficiency of production, reduce the cost of operation and maintenance, and improve the overall automation level of the production line;

[0043] 3. The operator can observe the running status and alarm status of the loom in real time through the operation interface. When there is no abnormality in the loom, the operator can understand the running status of the loom through the operation interface; when there is an abnormality in the loom, the operator can quickly understand the abnormality through the operation interface and make responses and adjustments;

[0044] 4. Use ZigBee wireless communication technology to realize data transmission and communication between modules within the system, realize the integration of the Internet of Things, and complete safe and efficient data transmission. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0046] Figure 1 It is a schematic diagram of a process of an intelligent roll changing system for a loom based on Internet of Things integration of the present invention;

[0047] Figure 2It is a schematic diagram of a system abnormality detection process of a loom intelligent roll changing system based on Internet of Things integration of the present invention;

[0048] Figure 3 It is a flow chart of an adaptive control algorithm of a loom intelligent roll changing system based on Internet of Things integration of the present invention. DETAILED DESCRIPTION

[0049] 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.

[0050] See also Figure 1-Figure 3 , the present invention provides a technical solution:

[0051] In this example 1: a loom intelligent roll changing system based on IoT integration is provided:

[0052] The sensor interface module includes a tension sensor, a diameter sensor, a speed sensor and a photoelectric sensor; the tension sensor is responsible for collecting real-time tension data of the yarn, the diameter sensor is used to measure the diameter of the yarn roll, the speed sensor monitors the running speed of the loom and the roll changing equipment, and the photoelectric sensor tracks the position and diameter of the yarn; the real-time loom data collected by the sensor will be transmitted to the data storage library through encrypted secure communication, and the real-time loom data will be stored in the cloud server;

[0053] The data analysis module receives the real-time data of the loom sent from the data storage library and performs analysis and processing. By comparing the historical data with the currently collected data, the data analysis module analyzes the consumption of the yarn rolls. When the diameter of the remaining yarn rolls reaches the set roll-changing interval, for example, the loom is a small-sized loom, and the intelligent roll-changing interval set for the small-sized loom is: 50 mm ≤ L ≤ 100 mm, then when the diameter of the remaining yarn rolls is 75 mm, the diameter of the remaining yarn rolls reaches the intelligent roll-changing interval, and the data analysis module immediately issues an intelligent roll-changing command to the automation control module;

[0054] At the same time, the operation interface will display the roll changing progress and the real-time data of the loom, including the real-time tension of the yarn, the real-time diameter of the yarn roll, the real-time running speed of the loom and the roll changing equipment, the real-time position of the yarn and the real-time diameter of the yarn;

[0055] After receiving the command from the data analysis module, the automation control module starts to perform the intelligent roll changing operation;

[0056] When performing intelligent roll change, the data analysis module uses an adaptive control algorithm to detect changes in yarn tension based on the real-time data of the loom collected by the sensor interface module, and issues a command to the automation control module to automatically adjust the loom parameters; the adaptive closed-loop control algorithm analyzes changes in yarn type, width and thickness on the loom based on the real-time data of the loom, and sets the ideal yarn tension;

[0057] Calculate the error of the current yarn tension using the formula:

[0058] m(t)=Y(i)-Y(t)

[0059] Wherein, m(t) represents the error of the current yarn tension; Y(i) represents the ideal yarn tension; Y(t) represents the actually detected yarn tension; for example, if the ideal yarn tension of the yarn is 40 cN and the actually detected yarn tension is 35 cN, then the current yarn tension error is 5 cN;

[0060] The controller output is calculated based on the error, and the loom parameters are adjusted to keep the yarn tension stable. The controller output formula is:

[0061]

[0062] Where u(t) represents the output of the controller; m(t) represents the error of the current yarn tension; Y p Expressed as a proportionality coefficient; Y i Expressed as the integral time constant; Y d Expressed as the differential time constant; Y p ×m(t) is a proportional term, which is adjusted according to the error of the current yarn tension; is an integral term, which is adjusted according to the accumulated error of yarn tension; is a differential term, which is adjusted according to the rate of change of the error of the yarn tension; set the proportional coefficient X p =1, integral coefficient Y i =0.1, differential coefficient Y d =0.2, the calculated output value is: Proportional term: K p ×m(t)=1×5=5, integral term: Y i ×∫m(t)dt=0.1×5×t=0.5×t, t is calculated based on the actual time integral; the differential term The output value is 5+0.5×t+0.4;

[0063] Proportional part: directly reflects the size of the input deviation signal. The larger the deviation, the larger the output signal, which helps to quickly reduce the deviation; Integral part: integrates the time-accumulated deviation, which helps to eliminate the steady-state error of the system; Differential part: predicts the change trend of the deviation and makes adjustments in advance, which helps to reduce overshoot and improve the stability of the system;

[0064] When the automatic control module receives the intelligent roll changing command, the automatic control module automatically adjusts the parameters of the loom through the command of automatically adjusting the loom parameters issued by the data analysis module;

[0065] The sensor interface module feeds back the adjusted real-time data of the loom to the data analysis module to complete the closed-loop control, real-time feedback and adjustment, and maintain the stability of the yarn tension;

[0066] Real-time adjustment of the loom speed, cloth winding force and yarn position can ensure the stability of tension and solve the problem of yarn breakage caused by uneven tension during the intelligent reel change process of the loom. It can avoid yarn breakage or dislocation during the reel change process, improve production efficiency and product quality, and reduce material loss.

[0067] After the intelligent roll changing is completed, the automatic control module sends the information of the intelligent roll changing to the operation interface for display, and transmits the process of the intelligent roll changing to the data storage library for storage, providing the operator with the function of viewing and reviewing.

[0068] In this example 2, we mainly describe the case of handling abnormal tension data of the loom, such as Figure 2 shown.

[0069] The sensor interface module monitors the yarn tension data in real time through the tension sensor;

[0070] The yarn tension data is transmitted to the data storage library for storage and to the data analysis module for real-time monitoring and analysis;

[0071] The data analysis module receives and analyzes real-time data, comparing current tension with historical tension data;

[0072] The data analysis module analyzes that the current tension exceeds the normal threshold of the historical tension, and sends an alarm message to the operation interface, and displays the specific tension data and abnormal time;

[0073] When abnormal data is found, the data analysis module sends a pause command to the automation control module; the automation control module stops the operation of the loom after receiving the command;

[0074] The operator can check the abnormal tension through the operation interface, select the abnormal tension alarm on the operation interface, enter the query details page of the abnormal tension alarm, select the query method, which includes time range, loom number, work order number and alarm name, check the relevant historical data, and conduct further abnormal cause analysis;

[0075] The operator can manually adjust the tension or loom parameters through the operation interface, and can also check the related abnormal equipment through the abnormal position of the tension and make adjustments;

[0076] The data analysis module records the details of abnormal tension data, including the duration of the abnormality and the adjustment measures taken by the operator for analysis and learning, optimizes the data analysis capabilities, and provides the operator with relevant adjustment plans when a similar situation occurs next time;

[0077] The data repository records the details of abnormal tension data and stores the relevant information analyzed and learned by the data analysis module to form a corresponding database.

[0078] This example three mainly describes the case where an operator views historical data through the operation interface.

[0079] The operator opens the operation interface of the loom intelligent roll changing system and can view the real-time data of the loom on the operation interface, including the real-time tension of the yarn, the real-time diameter of the yarn roll, the real-time running speed of the loom and roll changing equipment, the real-time position and diameter of the yarn, and the roll changing progress; as well as the alarm conditions, including abnormal tension of the yarn on the loom, abnormal speed of the roll changing equipment or loom equipment, and yarn position deviation;

[0080] Operators can click on one of the data to enter the relevant historical data access interface;

[0081] The operation interface will display a variety of query conditions, including time range, loom number, work order number and alarm name; the operator can select the query conditions as needed to narrow the scope of historical data and find the corresponding data;

[0082] According to the operator's selection, the operation interface sends a data query request to the data storage library. The data storage library displays the corresponding data to the operation interface according to the request sent by the operation interface. The data includes yarn tension, yarn roll diameter, loom running speed, roll changing progress, historical alarm conditions and operator's adjustment measures.

[0083] 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.

[0084] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent roll changing system for looms based on Internet of Things integration, characterized by: The system includes: Sensor interface module, data storage, remote connection module, data analysis module, automation control module and operation interface; The sensor interface module collects real-time data of the loom through sensors, and transmits the real-time data of the loom to the data storage library in encrypted form through secure communication; The data storage library is used to receive the real-time data of the loom, decode it, and store the real-time data of the loom in the cloud server; transmit the real-time data of the loom to the data analysis module; The data analysis module compares and analyzes the real-time data of the loom with the historical data in the data storage library, analyzes the type, width and thickness changes of the yarn using an adaptive control algorithm, and issues control commands to the automation control module; The automation control module is used to receive the control command issued by the data analysis module to perform the roll changing operation; adjust the parameters of the loom in real time, including the speed of the loom, the cloth rolling force and the yarn position, so as to ensure the stability of the yarn tension during the yarn changing process; The operation interface provides a graphical interface for operators to display real-time data and alarm conditions of the loom, supporting operators to monitor the loom status in real time and conduct operational intervention; The remote connection module uses ZigBee wireless communication technology to ensure safe and efficient data transmission between the sensor interface module, the data storage library, the data analysis module, the automation control module and the operation interface.

2. According to claim 1, the intelligent roll changing system for looms based on Internet of Things integration is characterized in that: The sensors include a tension sensor, a diameter sensor, a speed sensor and a photoelectric sensor; the tension sensor collects the real-time tension of the yarn; the diameter sensor collects the real-time diameter of the yarn roll; the speed sensor collects the real-time running speed of the loom and the roll changing equipment; the photoelectric sensor collects the real-time position and diameter of the yarn; The real-time data of the loom include the real-time tension of the yarn, the real-time diameter of the yarn roll, the real-time running speed of the loom and the roll changing equipment, and the real-time position and diameter of the yarn.

3. According to claim 1, the intelligent roll changing system for looms based on Internet of Things integration is characterized in that: The data analysis module receives the real-time data of the loom, processes and analyzes that when the diameter of the yarn roll reaches the intelligent roll-changing interval, it issues an intelligent roll-changing command to the automation control module, and transmits the real-time data of the loom to the operation interface for display; When performing intelligent roll changing, the data analysis module uses an adaptive control algorithm to detect changes in yarn tension based on the real-time data of the loom collected by the sensor interface module, and issues a command to the automation control module to automatically adjust the parameters of the loom; the adaptive closed-loop control algorithm analyzes changes in the type, width and thickness of the yarn on the loom based on the real-time data of the loom, sets the ideal yarn tension, and issues a command to the automation control module to automatically adjust the parameters of the loom so that the actual tension is close to the set ideal tension value; When the automatic control module receives the intelligent roll changing command, it starts the intelligent roll changing operation; Automatically adjusting the parameters of the loom by means of a command for automatically adjusting the parameters of the loom issued by the data analysis module; The sensor interface module feeds back the adjusted real-time data of the loom to the data analysis module to complete closed-loop control, real-time feedback and adjustment, and maintain the stability of the yarn tension.

4. According to claim 3, the intelligent roll changing system for looms based on Internet of Things integration is characterized in that: The data analysis module obtains the timing of intelligent roll change by detecting and calculating the yarn rolls. The formula is: L=srd The yarn roll is a circular ring with a yarn roll core, where L represents the diameter of the current remaining yarn roll, which is the width of the current ring; s represents the diameter of the initial yarn roll, which is the diameter of the initial outer circle; r represents the diameter of the yarn roll core, which is the diameter of the inner circle; d represents the diameter of the yarn roll collected by the diameter sensor, which is the current outer circle diameter; When the diameter of the remaining yarn rolls reaches the intelligent roll-changing interval, the data analysis module issues an intelligent roll-changing command to the automation control module.

5. According to claim 3, the intelligent roll changing system for looms based on Internet of Things integration is characterized in that: The adaptive control algorithm includes: Calculate the error of the current yarn tension using the formula: m(t)=Y(i)-Y(t) Wherein, m(t) represents the error of the current yarn tension; Y(i) represents the ideal yarn tension; Y(t) represents the actually detected yarn tension; The controller output is calculated based on the error, and the loom parameters are adjusted to keep the yarn tension stable. The controller output formula is: Where u(t) represents the output of the controller; m(t) represents the error of the current yarn tension; Y p Expressed as a proportionality coefficient; Y i Expressed as the integral time constant; Y d Expressed as the differential time constant; Y p ×m(t) is a proportional term, which is adjusted according to the error of the current yarn tension; is an integral term, which is adjusted according to the accumulated error of yarn tension; is a differential term, which is adjusted according to the rate of change of the error of yarn tension; An adjustment command is issued to the automation control module, and the real-time data of the loom fed back by the sensor interface module is received in real time to perform calculation and adjustment output.

6. The loom intelligent roll changing system based on Internet of Things integration according to claim 1 is characterized in that: The data analysis module compares and analyzes the real-time data of the loom with the historical loom data in the data storage library; when the data analysis module compares and analyzes that the real-time data of the loom is abnormal, the data analysis module communicates the abnormal situation to the operation interface and suspends the operation of the loom; The anomalies include abnormal tension of the yarn on the loom, abnormal speed of the roll changing equipment or the loom equipment, abnormal thickness of the yarn roll and yarn position deviation.

7. The loom intelligent roll changing system based on Internet of Things integration according to claim 1 is characterized in that: The operation interface module displays the real-time data and alarm conditions of the loom, wherein the real-time data of the loom includes the real-time tension of the yarn, the real-time diameter of the yarn roll, the real-time operating speed of the loom and the roll changing device, the real-time position and diameter of the yarn, and the roll changing progress; the alarm conditions include abnormal tension of the yarn on the loom, abnormal speed of the roll changing device or the loom equipment, abnormal thickness of the yarn roll, and yarn position deviation.

8. The loom intelligent roll changing system based on Internet of Things integration according to claim 7 is characterized in that: When an alarm occurs on the operation interface, the operator understands the abnormality of the loom according to the alarm, queries the alarm on the operation interface, and the operation interface submits a request for viewing relevant data to the data storage library, and the data storage library transmits the relevant alarm data to the operation interface for display according to the request; The operator makes corrections according to the alarm data, and the corrections include adjusting loom parameters, resetting the system, replacing the faulty loom, or repairing the loom; The operation interface module records the abnormal situations and the alarm corrective measures of the operators, and transmits the relevant data to the data storage module for archiving, and is further analyzed and studied by the data analysis module.

9. The loom intelligent roll changing system based on Internet of Things integration according to claim 8 is characterized in that: Selecting a loom real-time data or alarm situation through the operation interface can enter the relevant historical data access interface; The real-time data of the loom includes the real-time tension of the yarn, the real-time diameter of the yarn roll, the real-time running speed of the loom and the roll changing device, the real-time position and diameter of the yarn, and the roll changing progress; the alarm conditions include abnormal tension of the yarn on the loom, abnormal speed of the roll changing device or the loom equipment, and yarn position deviation; The historical data access interface has multiple query conditions, including time range, loom number and work order number; the operator selects the query conditions as needed to narrow the scope of historical data and find the corresponding data; the data includes yarn tension, yarn roll diameter, loom running speed, roll changing progress, and historical alarm conditions and operator adjustment measures.

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