An internet of things device and internet of things system for a sewing apparatus

Abstract

The application belongs to the technical field of sewing equipment, and particularly relates to an Internet of Things device for sewing equipment and an Internet of Things system. The Internet of Things device comprises a plurality of input ports for acquiring external input data; one of the input ports is connected with a foot controller connector assembly of the sewing equipment for acquiring the current and voltage of a foot control line of the sewing equipment; one of the input ports is connected with a motor encoder connector assembly for acquiring the rotating speed of a motor of the sewing equipment; a microprocessor is used for logically processing the data received by the input ports; and a signal transmission module is used for the communication connection of the microprocessor and an Internet of Things terminal and the sending / receiving of data. The Internet of Things device is an independent additional device, which can acquire the working condition of the sewing equipment in a parsing mode, can be suitable for the upgrading and modification of old models, and can be suitable for sewing equipment of different brands and different manufacturers to realize the management of the Internet of Things.

Description

Technical Field

[0001] This invention belongs to the field of sewing equipment technology, and specifically refers to an Internet of Things (IoT) device and IoT system for sewing equipment. Background Technology

[0002] The Internet of Things (IoT) system for sewing machines is still under development. IoT functionality is only available on the latest models from various manufacturers; older sewing machines, as well as refurbished ones, cannot be integrated into a unified IoT management system. Furthermore, large garment factories typically do not purchase sewing machines from a single brand, and sewing machines from different brands and manufacturers cannot be integrated into a single IoT system, which also poses a challenge for large garment factories. Summary of the Invention

[0003] The purpose of this invention is to provide an Internet of Things (IoT) device applicable to different sewing equipment, and an IoT system formed by networking the IoT device and server.

[0004] The objective of this invention is achieved as follows:

[0005] An Internet of Things (IoT) device for sewing equipment, the sewing equipment having a main controller for allowing a user to send command information to the sewing equipment;

[0006] The Internet of Things device includes

[0007] Several input ports are used to acquire external input data; one input port is connected to the foot pedal controller connector of the sewing equipment to acquire the current and voltage of the foot pedal control line of the sewing equipment; another input port is connected to the motor encoder connector to acquire the speed of the motor of the sewing equipment.

[0008] A microprocessor is used for logical processing of the data received by the input port;

[0009] A signal transmission module is used for communication connection between the microprocessor and the Internet of Things terminal and for sending / receiving data;

[0010] Several output ports are used for data output from the microprocessor.

[0011] Preferably, the input port is connected to a photoelectric switch, or a magnetic switch, or a contact switch, or a camera, or a temperature and humidity sensor, or a voice sensor, or an IC card input component;

[0012] The signal transmission module is a Wi-Fi module.

[0013] Preferably, the foot pedal control connector includes a foot pedal control plug, a foot pedal control socket, a current detection module, and a voltage detection module; the foot pedal control plug and the foot pedal control socket are respectively plugged into both ends of the foot pedal control cable;

[0014] The current detection module is used to detect the current in the foot pedal control line;

[0015] The voltage detection module is used to detect the voltage of the foot pedal control line.

[0016] Preferably, the motor encoder connector assembly includes an encoder plug, an encoder socket, and a pulse signal detection module; the encoder plug and encoder socket are respectively connected to the signal line of the encoder.

[0017] The pulse signal detection module is used to detect the pulse signal of the encoder's signal line.

[0018] Preferably, the IoT device further includes:

[0019] A 220V power plug assembly is provided for connecting to an external power source and supplying power to the sewing equipment. The 220V power plug assembly includes a power plug, a power socket, and a power consumption detection device. The power consumption calculation device is used to detect the power consumption of the sewing equipment and transmit the data to the microprocessor.

[0020] The display module is used to display the operating status information of the sewing equipment.

[0021] This application also claims protection for an Internet of Things (IoT) system for sewing equipment, comprising a plurality of the aforementioned IoT devices for sewing equipment, and further comprising a server; the signal transmission module of the IoT devices is communicatively connected to the server and sends / receives data;

[0022] The IoT device is also equipped with

[0023] The identity recognition module is used to identify the operator's identity;

[0024] The process identification module is used to determine the manufacturing process of the current sewing equipment.

[0025] The server is configured with

[0026] The production status monitoring module records the working status of each sewing machine in real time, and records the effective working time, number of sewing needles, number of thread cuts, quantity of sewing materials, and quantity of waste products lost each day.

[0027] The ERP processing module records the processing progress of each step from raw materials to finished products; it also tracks the material reserves of each step and issues an alarm when the reserves are less than the set value; and it tracks the material loss rate of each step and issues an alarm when the loss rate exceeds the set value.

[0028] Preferably, the IoT device is equipped with a voice broadcast module; the server is equipped with a beginner learning mode to guide the operator's sewing work.

[0029] When the beginner learning mode is activated within the IoT device, the server sends a pre-set sound signal to the voice broadcast module of the IoT device, guiding the operator to perform the operation according to the set steps;

[0030] The server compares the actions detected on the sewing device by the IoT device with the expected results and issues a warning or guides the user to continue to the next step.

[0031] Preferably, the server is further provided with an efficiency comparison and monitoring module, which is used to compare and sort the operation data of different operators in the same process; and an intelligent electrical equipment control module, which is connected to external air conditioners, speakers and lamps;

[0032] The IoT device is also equipped with a fault reporting module, which can manually or automatically send fault information to the server; the fault reporting module can statistically analyze the cause of the fault, the handling method, and the failure rate of the same sewing machine model.

[0033] Preferably, the IoT device is externally connected to a camera to detect the operator's working status;

[0034] The IoT device is also connected to an external photoelectric detection device, which counts the materials and / or waste materials that have been sewn in each process.

[0035] Preferably, the process identification module is an external barcode scanner; the material to be sewn has a barcode affixed to it.

[0036] Preferably, the IoT device is installed on an overlock sewing machine, which is equipped with a thread-cutting mechanism and a presser foot mechanism. Three photoelectric sensors are arranged sequentially along the fabric feeding direction on the working platform of the overlock sewing machine. The cutter of the thread-cutting mechanism is positioned between and adjacent to the third and second photoelectric sensors. The IoT device controls the initialization of the overlock sewing machine, including:

[0037] Step S1: The IoT device acquires the status of the three photoelectric sensors and the current working mode of the overlock sewing machine;

[0038] Step S2: The IoT device checks the currently set operating mode and the status of the corresponding photocell;

[0039] First working mode: The first photoelectric sensor is working normally. Based on the trigger signal of the first photoelectric sensor and the set delay value or motor rotation number output, the overlock sewing machine controls the thread cutting mechanism to perform the thread cutting action at the front end of the fabric.

[0040] Second working mode: When the second photoelectric sensor is working normally, the overlock sewing machine controls the thread cutting mechanism to perform the thread cutting action at the front end of the fabric based on the trigger signal of the second photoelectric sensor and the set delay value or motor rotation number output.

[0041] Third working mode: When the third photoelectric sensor is working normally, the overlock sewing machine controls the thread cutting mechanism to perform the thread cutting action at the back end of the fabric based on the trigger signal of the third photoelectric sensor.

[0042] Fourth working mode: When the first and second photoelectric sensors are working normally, the overlock sewing machine controls the action of the presser foot mechanism based on the trigger signal of the first photoelectric sensor; the overlock sewing machine controls the thread cutting mechanism to perform the thread cutting action at the front end of the fabric based on the trigger signal of the second photoelectric sensor, as well as the set delay value or the number of motor rotations.

[0043] Fifth working mode: The first and third photoelectric sensors are working normally. The overlock sewing machine controls the action of the presser foot lifting mechanism based on the trigger signal of the first photoelectric sensor; the overlock sewing machine controls the thread cutting mechanism to perform the thread cutting action at the rear end of the fabric based on the trigger signal of the third photoelectric sensor.

[0044] Sixth working mode: When the second and third photoelectric sensors are working normally, the overlock sewing machine controls the thread cutting mechanism to perform the thread cutting action at the front end of the fabric based on the trigger signal of the second photoelectric sensor; the overlock sewing machine controls the thread cutting mechanism to perform the thread cutting action at the rear end of the fabric based on the trigger signal of the third photoelectric sensor.

[0045] Seventh working mode: When the first, second, and third photoelectric sensors are all working normally, the overlock sewing machine controls the presser foot mechanism to automatically lower the presser foot based on the trigger signal of the first photoelectric sensor; the overlock sewing machine controls the thread cutting mechanism to perform the thread cutting action at the front end of the fabric based on the trigger signal of the second photoelectric sensor; the overlock sewing machine controls the thread cutting mechanism to perform the thread cutting action at the rear end of the fabric based on the trigger signal of the third photoelectric sensor.

[0046] Step S3: Compare the currently set working mode with the corresponding photoelectric sensor status;

[0047] If the two do not match, the server will display an alarm message and stop the overlock sewing machine from operating.

[0048] When the two are matched, the overlock sewing machine executes the set working mode.

[0049] The outstanding and beneficial technical effects of this invention compared to the prior art are:

[0050] The IoT device of this invention is an independent, add-on device that obtains the working status of sewing equipment through analysis. It can be adapted to the upgrading and transformation of old models, as well as to sewing equipment from different brands and manufacturers, to achieve IoT management.

[0051] When applied to overlock sewing machines, IoT devices can also detect photoelectric systems to prevent fabric damage. Attached Figure Description

[0052] Figure 1 This is a schematic diagram of an Internet of Things (IoT) device. Implementation

[0053] The present invention will be further described below with reference to specific embodiments:

[0054] An Internet of Things (IoT) device for sewing equipment, the sewing equipment having a main controller for sending command information to the sewing equipment by a user; the IoT device can be designed as a square box, similar in size to a common router box;

[0055] The Internet of Things device includes

[0056] Several input ports are used to acquire external input data; one input port is connected to the foot pedal controller connector of the sewing equipment to acquire the current and voltage of the foot pedal control line of the sewing equipment; one input port is connected to the motor encoder connector (to acquire the data of the motor encoder) to acquire the speed of the motor of the sewing equipment; the remaining input ports are connected to some general input devices, such as photoelectric switches, magnetic switches, contact switches, cameras, temperature and humidity sensors, voice sensors, or IC card input components.

[0057] The microprocessor (i.e., the processing module) is used to logically process the data received by the input port;

[0058] The signal transmission module (i.e., the cloud communication module) is used for the communication connection between the microprocessor and the IoT terminal and for sending / receiving data;

[0059] Several output ports are used for data output from the microprocessor.

[0060] The foot pedal control connector acquires the current and / or voltage of the foot pedal control line of the sewing machine. This data is transmitted to the backend server in real time, which can calculate the frequency of change of the corresponding current and / or voltage. For example, the output voltage of the knee-controlled presser foot mechanism of a certain brand of sewing machine can switch between 0V, 2V, and 5V. 0V represents that the presser foot is not working, 2V represents the presser foot is being raised, and 5V represents a combination of presser foot raising and thread cutting. By analyzing the voltage of the foot pedal control line, the operator's actions can be determined. The server can also collect relevant information, such as working time, number of presser foot raisings, number of thread cuttings, etc.

[0061] Preferably, the foot pedal control connector includes a foot pedal control plug, a foot pedal control socket, a current detection module, and / or a voltage detection module; the foot pedal control plug and the foot pedal control socket are respectively plugged into both ends of the foot pedal control cable; the current detection module is used to detect the current of the foot pedal control cable; the voltage detection module is used to detect the voltage of the foot pedal control cable. This application analyzes the original foot pedal control cable of the sewing machine, which is equivalent to obtaining the relevant data of the foot pedal control cable through an ammeter and / or a voltmeter; the foot pedal control connector is only an intermediate connecting component, which continues to connect to the original main circuit board of the sewing machine by adding a foot pedal control cable (or splitting the original foot pedal control cable in two and then installing a connector).

[0062] Preferably, the motor encoder connector assembly includes an encoder plug, an encoder socket, and a pulse signal detection module; the encoder plug and encoder socket are respectively connected to the encoder's signal line; the pulse signal detection module is used to detect the pulse signal of the encoder's signal line. This is equivalent to connecting a tachometer to measure the motor's speed.

[0063] Preferably, the input port is connected to a photoelectric switch, or a magnetic switch, or a contact switch, or a camera, or a temperature and humidity sensor, or a voice sensor, or an IC card input component;

[0064] The signal transmission module is a Wi-Fi module.

[0065] Preferably, the IoT device further includes:

[0066] A 220V power plug assembly connects to an external power source and supplies power to the sewing equipment. The 220V power plug assembly includes a power plug, a power socket, and a power consumption detection device. The power consumption calculation device is used to detect the power consumption of the sewing equipment and transmit it to the microprocessor. The server can analyze the power consumption of each sewing machine. For some machines, when the power consumption is particularly high, there may be potential leakage hazards.

[0067] The display module is used to display the operating status information of the sewing equipment. This display module is a screen installed on the Internet of Things (IoT) device.

[0068] This application also claims protection for an Internet of Things (IoT) system for sewing equipment, comprising a plurality of the aforementioned IoT devices for sewing equipment, and further comprising a server; the signal transmission module of the IoT devices is communicatively connected to the server and sends / receives data;

[0069] The IoT device is also equipped with

[0070] The identity recognition module is used to identify the operator's identity. The identity recognition module retrieves relevant information about the operator from the backend server, including: user name, working hours, number of pieces completed, and personal task completion rate.

[0071] The process identification module is used to determine the manufacturing process of the current sewing equipment;

[0072] The server is configured with

[0073] The production status monitoring module records the working status of each sewing machine in real time, as well as the daily effective working hours, number of sewing needles, number of thread cuts, quantity of sewing materials, and quantity of waste products. In conjunction with the identity recognition module, this module can count the number of pieces completed by each operator and can easily calculate information such as wages payable, which facilitates personnel management.

[0074] The ERP processing module records the processing progress of each step from raw materials to finished products; it tracks the material inventory status of each step and issues an alarm when the inventory is below a set value; it also tracks the material loss rate of each step and issues an alarm when it exceeds a set value. This optimizes the overall raw material storage and supply, facilitating the company's cash flow.

[0075] Preferably, the IoT device is equipped with a voice broadcast module; the server is equipped with a beginner learning mode to guide the operator's sewing work.

[0076] When the beginner learning mode is activated within the IoT device, the server sends a pre-set sound signal to the voice broadcast module of the IoT device, guiding the operator to perform the operation according to the set steps.

[0077] The server compares the movements detected on the sewing equipment by the IoT device with the expected results and issues warnings or guides the user to the next step. This module allows novices to quickly get into a working state and facilitates personnel training.

[0078] Preferably, the server is further provided with an efficiency comparison and monitoring module, which is used to compare and sort the operation data of different operators in the same process; and an intelligent electrical equipment control module, which is connected to external air conditioners, speakers and lamps;

[0079] The IoT device is also equipped with a fault reporting module, which can manually or automatically send fault information to the server. The fault reporting module statistically analyzes the causes of faults, handling methods, and the failure rate of the same sewing machine model. The statistical information of the fault reporting module includes: sewing machine serial number, error information, operating information, and maintenance information.

[0080] Preferably, the IoT device is externally connected to a camera to detect the operator's working status; if the camera detects that the operator is drowsy or not at their post, a notification can be sent to the server. This helps avoid potential safety hazards during the work process.

[0081] The IoT device is also externally connected to a photoelectric detection device, which counts the finished materials and / or waste materials at each stage of sewing. The photoelectric detection device can be set up in the finished material storage area of ​​the sewing machine. Whenever finished materials enter this area, it automatically counts them, making it convenient to use; the waste area is used in a similar way.

[0082] Preferably, the process identification module is an external barcode scanner; the material to be sewn has a barcode affixed to it. The barcode on the material allows the operator to determine which part needs to be processed, making the process simple and convenient.

[0083] Preferably, when the IoT device is installed on the overlock sewing machine, the control of the overlock sewing machine can be further optimized. Most existing automatic sewing technologies for overlock sewing machines employ a three-photon control method. The photon signal changes when the photon is blocked by fabric or when the fabric leaves the photon. For example, CN discloses a three-photon automatic detection device for industrial overlock sewing machines, where the first photon detects the machine's start position signal, the second photon detects the machine's front thread cut and stop position signals, and the third photon detects the machine's rear thread cut position signal. In actual use, photons may become damaged or blocked by impurities. If damaged, the manufacturer needs to provide replacement parts; if blocked, maintenance and cleaning are required. Otherwise, direct production will result in fabric damage.

[0084] The IoT device is installed on the overlock sewing machine, which is equipped with a thread-cutting mechanism and a presser foot mechanism. Three photoelectric sensors are arranged sequentially along the fabric feeding direction on the machine's work platform. The thread-cutting mechanism's cutter is positioned between and near the third and second photoelectric sensors. When the overlock sewing machine is powered on or restarted, the IoT device can control the machine's initialization, including:

[0085] Step S1: The IoT device acquires the status of the three photoelectric sensors and the current working mode of the overlock sewing machine;

[0086] Step S2: The IoT device checks the currently set operating mode and the status of the corresponding photocell;

[0087] First working mode: The first photoelectric sensor is working normally. Based on the trigger signal of the first photoelectric sensor and the set delay value or motor rotation number output, the overlock sewing machine controls the thread cutting mechanism to perform the thread cutting action at the front end of the fabric.

[0088] Second working mode: When the second photoelectric sensor is working normally, the overlock sewing machine controls the thread cutting mechanism to perform the thread cutting action at the front end of the fabric based on the trigger signal of the second photoelectric sensor and the set delay value or motor rotation number output.

[0089] Third working mode: When the third photoelectric sensor is working normally, the overlock sewing machine controls the thread cutting mechanism to perform the thread cutting action at the back end of the fabric based on the trigger signal of the third photoelectric sensor.

[0090] Fourth working mode: When the first and second photoelectric sensors are working normally, the overlock sewing machine controls the action of the presser foot mechanism based on the trigger signal of the first photoelectric sensor; the overlock sewing machine controls the thread cutting mechanism to perform the thread cutting action at the front end of the fabric based on the trigger signal of the second photoelectric sensor, as well as the set delay value or the number of motor rotations.

[0091] Fifth working mode: The first and third photoelectric sensors are working normally. The overlock sewing machine controls the action of the presser foot lifting mechanism based on the trigger signal of the first photoelectric sensor; the overlock sewing machine controls the thread cutting mechanism to perform the thread cutting action at the rear end of the fabric based on the trigger signal of the third photoelectric sensor.

[0092] Sixth working mode: When the second and third photoelectric sensors are working normally, the overlock sewing machine controls the thread cutting mechanism to perform the thread cutting action at the front end of the fabric based on the trigger signal of the second photoelectric sensor; the overlock sewing machine controls the thread cutting mechanism to perform the thread cutting action at the rear end of the fabric based on the trigger signal of the third photoelectric sensor.

[0093] Seventh working mode: When the first, second, and third photoelectric sensors are all working normally, the overlock sewing machine controls the presser foot mechanism to automatically lower the presser foot based on the trigger signal of the first photoelectric sensor; the overlock sewing machine controls the thread cutting mechanism to perform the thread cutting action at the front end of the fabric based on the trigger signal of the second photoelectric sensor; the overlock sewing machine controls the thread cutting mechanism to perform the thread cutting action at the rear end of the fabric based on the trigger signal of the third photoelectric sensor.

[0094] Step S3: Compare the currently set working mode with the corresponding photoelectric sensor status;

[0095] If the two do not match, the server will display an alarm message and stop the overlock sewing machine from operating.

[0096] When the two are matched, the overlock sewing machine executes the set working mode.

[0097] By initializing the overlock sewing machine, it is checked whether the three-lens sensor matches the currently set working mode to avoid fabric damage.

[0098] Additionally, in step S3, if the currently set working mode and the corresponding photoelectric sensor status do not match, the server can intelligently load the overlock sewing machine's working mode via an IoT device and provide voice prompts. The operator can also manually set the desired working mode. After setting, the program will perform a self-check; determine whether the set working mode meets the corresponding photoelectric sensor conditions, and then execute step S1 again. This method allows the overlock sewing machine to continue operating even if one or more photoelectric sensors are damaged.

[0099] Preferably, in step S3, the intelligent loading working mode is as follows: the more photocells involved in the work, the higher the loading priority. For example, if the first and second photocells are both intact, the server will automatically load the fourth working mode instead of the first or second working mode. Since users of the overlock sewing machine may have limited skills and lack the ability to adjust working modes effectively, the server automatically adjusts and matches the modes to ensure the sewing effect.

[0100] Preferably, it also includes an eighth working mode: fully manual mode. In fully manual mode, no photoelectric sensor is required, and it does not have automatic thread cutting or automatic presser foot functions.

[0101] In the seventh working mode, as the fabric enters the worktable and moves forward, the first photodetector is first blocked. Upon detecting the signal, the overlock machine controls the lifting of the presser foot mechanism, placing the fabric below it. Then, the presser foot presses down, and the overlock machine begins sewing, while the operator continues feeding the fabric.

[0102] When the fabric moves forward and blocks the second photodetector, the second photodetector detects a signal, and the overlock sewing machine controls the cutting tool of the thread-cutting mechanism to rotate, thereby precisely cutting the thread ends at the front of the fabric. The fabric continues to move forward, passing the third photodetector; when the fabric leaves the third photodetector, the third photodetector detects a signal, and the overlock sewing machine controls the cutting tool of the thread-cutting mechanism to rotate, cutting the thread ends at the rear of the fabric.

[0103] The overlock sewing machine can output control of the thread cutting mechanism based on the set delay value or the number of motor revolutions. The motor speed corresponds to the fabric feeding speed, and the length of the thread end after cutting can be set as needed.

[0104] The above embodiments are merely preferred embodiments of the present invention and are not intended to limit the scope of protection of the present invention. Therefore, all equivalent changes made in accordance with the structure, shape, and principle of the present invention should be covered within the scope of protection of the present invention.

Claims

1. An Internet of Things (IoT) system for sewing equipment, characterized in that, Including IoT devices and servers; The Internet of Things (IoT) device includes, Several input ports are used to acquire external input data; one input port is connected to the foot pedal controller connector of the sewing equipment to acquire the current and voltage of the foot pedal control line of the sewing equipment; another input port is connected to the motor encoder connector to acquire the speed of the motor of the sewing equipment. A microprocessor is used for logical processing of the data received by the input port; A signal transmission module is used for communication connection between the microprocessor and the Internet of Things terminal and for sending / receiving data; Several output ports are used for data output from the microprocessor; The signal transmission module of the IoT device communicates with the server and sends / receives data. The IoT device is also equipped with The identity recognition module is used to identify the operator's identity; The process identification module is used to determine the manufacturing process of the current sewing equipment. The server is configured with The production status monitoring module records the working status of each sewing machine in real time, and records the effective working time, number of sewing needles, number of thread cuts, quantity of sewing materials, and quantity of waste products lost each day. The ERP processing module records the processing progress of each process from raw materials to finished products; it calculates the material inventory of each process and issues an alarm when the inventory is less than the set value; it calculates the material loss rate of each process and issues an alarm when it exceeds the set value. The IoT device is installed on the overlock sewing machine, which is equipped with a thread cutting mechanism and a presser foot mechanism. Three photoelectric sensors are set on the working platform of the overlock sewing machine. The three photoelectric sensors are arranged sequentially along the fabric feeding direction. The cutter of the thread cutting mechanism is set between and close to the third photoelectric sensor and the second photoelectric sensor. The IoT device controls the initialization of the overlock sewing machine, including: Step S1: The IoT device acquires the status of the three photoelectric sensors and the current working mode of the overlock sewing machine; Step S2: The IoT device checks the currently set operating mode and the status of the corresponding photocell; First working mode: The first photoelectric sensor is working normally. Based on the trigger signal of the first photoelectric sensor and the set delay value or motor rotation number output, the overlock sewing machine controls the thread cutting mechanism to perform the thread cutting action at the front end of the fabric. Second working mode: When the second photoelectric sensor is working normally, the overlock sewing machine controls the thread cutting mechanism to perform the thread cutting action at the front end of the fabric based on the trigger signal of the second photoelectric sensor and the set delay value or motor rotation number output. Third working mode: When the third photoelectric sensor is working normally, the overlock sewing machine controls the thread cutting mechanism to perform the thread cutting action at the back end of the fabric based on the trigger signal of the third photoelectric sensor. Fourth working mode: When the first and second photoelectric sensors are working normally, the overlock sewing machine controls the action of the presser foot mechanism based on the trigger signal of the first photoelectric sensor; the overlock sewing machine controls the thread cutting mechanism to perform the thread cutting action at the front end of the fabric based on the trigger signal of the second photoelectric sensor, as well as the set delay value or the number of motor rotations. Fifth working mode: The first and third photoelectric sensors are working normally. The overlock sewing machine controls the action of the presser foot lifting mechanism based on the trigger signal of the first photoelectric sensor; the overlock sewing machine controls the thread cutting mechanism to perform the thread cutting action at the rear end of the fabric based on the trigger signal of the third photoelectric sensor. Sixth working mode: When the second and third photoelectric sensors are working normally, the overlock sewing machine controls the thread cutting mechanism to perform the thread cutting action at the front end of the fabric based on the trigger signal of the second photoelectric sensor; the overlock sewing machine controls the thread cutting mechanism to perform the thread cutting action at the rear end of the fabric based on the trigger signal of the third photoelectric sensor. Seventh working mode: When the first, second, and third photoelectric sensors are all working normally, the overlock sewing machine controls the presser foot mechanism to automatically lower the presser foot based on the trigger signal of the first photoelectric sensor; the overlock sewing machine controls the thread cutting mechanism to perform the thread cutting action at the front end of the fabric based on the trigger signal of the second photoelectric sensor; the overlock sewing machine controls the thread cutting mechanism to perform the thread cutting action at the rear end of the fabric based on the trigger signal of the third photoelectric sensor. Step S3: Compare the currently set working mode with the corresponding photoelectric sensor status; If the two do not match, the server will display an alarm message and stop the overlock sewing machine from operating. When the two are matched, the overlock sewing machine executes the set working mode.

2. The Internet of Things system for sewing equipment according to claim 1, characterized in that, The IoT device is equipped with a voice broadcast module; the server has a beginner learning mode to guide operators in their sewing work. When the beginner learning mode is activated within the IoT device, the server sends a pre-set sound signal to the voice broadcast module of the IoT device, guiding the operator to perform the operation according to the set steps. The server compares the actions detected on the sewing device by the IoT device with the expected results and issues a warning or guides the user to continue to the next step.

3. The Internet of Things system for sewing equipment according to claim 1, characterized in that, The server is also equipped with an efficiency comparison and monitoring module, which is used to compare and sort the operation data of different operators in the same process; and an intelligent electrical equipment control module, which is connected to external air conditioners, speakers and lamps. The IoT device is also equipped with a fault reporting module, which can manually or automatically send fault information to the server; the fault reporting module can statistically analyze the cause of the fault, the handling method, and the failure rate of the same sewing machine model.

4. The Internet of Things system for sewing equipment according to claim 1, characterized in that, The IoT device is connected to an external camera to detect the operator's working status. The IoT device is also connected to an external photoelectric detection device, which counts the materials and / or waste materials that have been sewn in each process. The process identification module is an external barcode scanner; the material to be sewn has a barcode attached.

5. The Internet of Things system for sewing equipment according to claim 1, characterized in that, The input port is connected to a photoelectric switch, or a magnetic switch, or a contact switch, or a camera, or a temperature and humidity sensor, or a voice sensor, or an IC card input component. The signal transmission module is a Wi-Fi module.

6. The Internet of Things system for sewing equipment according to claim 1, characterized in that, The foot pedal controller connector assembly includes a foot pedal control plug, a foot pedal control socket, and a current and voltage detection module; the foot pedal control plug and the foot pedal control socket are respectively plugged into both ends of the foot pedal control cable; The current and voltage detection module is used to detect the current and voltage of the foot pedal control line.

7. The Internet of Things system for sewing equipment according to claim 1, characterized in that, The motor encoder connector assembly includes an encoder plug, an encoder socket, and a grating signal detection module; the encoder plug and encoder socket are respectively connected to the encoder's signal line. The grating signal detection module is used to detect the grating signal of the motor encoder.

8. The Internet of Things system for sewing equipment according to claim 1, characterized in that, The IoT device also includes: A 220V power plug assembly is provided for connecting to an external power source and supplying power to the sewing equipment. The 220V power plug assembly includes a power plug, a power socket, and a power consumption detection device. The power consumption detection device is used to detect the power consumption of the sewing equipment and transmit the data to the microprocessor. The display module is used to display the operating status information of the sewing equipment.

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