Cutting bed equipment real-time state Internet of Things sensing system and method

Abstract

The invention relates to a cutting bed equipment real-time state Internet of Things sensing system and method, and the system and method can collect an electric signal outputted by sensing and measuring equipment on cutting bed equipment in real time, and convert the electric signal into a digital signal; receiving the digital signal, and packaging, encrypting and transmitting the digital signal; receiving and analyzing the encrypted data, and sending a control command signal according to a preset program when the encrypted data is analyzed to be abnormal; receiving the control command signal; receiving an equipment state signal sent by an execution mechanism of the cutting bed equipment; an equipment state signal and a control command signal transmitted by the second transmission module are received, and the equipment state signal is sent to the second transmission module; receiving, storing, analyzing and displaying the encrypted data and the equipment state signal; and a control command signal issued by the Internet of Things platform is received and analyzed, if the control command signal is correct, the control command signal is transmitted to the second transmission module, and if the control command signal is correct, a confirmation signal is sent to the Internet of Things platform.

Description

Technical Field

[0001] The present invention belongs to the field of Internet of Things perception of real-time status of equipment, and specifically relates to an Internet of Things perception system and method for real-time status of cutting table equipment. Background Art

[0002] As an important part of the traditional manufacturing industry, the production efficiency and quality control of the textile industry are directly related to the competitiveness and market position of enterprises. In the context of digital transformation, the use of advanced data monitoring systems to obtain production data in real time and accurately has become a key means to improve the production efficiency and quality control level of the textile industry. However, despite the increasing application of data monitoring systems, they still face many challenges and difficulties in actual use.

[0003] In the textile industry, the real-time and accuracy of production data are crucial to production efficiency and quality control. However, existing data monitoring systems have problems such as untimely data transmission, low remote control accuracy, and inaccurate fault warning. This is mostly due to unreasonable system structure, poor performance, and inadequate communication methods. The unrealistic and inaccurate monitoring data will lead to production decision-making errors, seriously affecting product quality and production efficiency. Summary of the invention

[0004] The present invention provides an Internet of Things perception system and method for the real-time status of a cutting table device, which are used to solve at least one aspect of the technical problems raised by the background technology.

[0005] The present invention provides an Internet of Things perception system for the real-time status of a cutting bed device, comprising: a data acquisition module, a first transmission module, a second transmission module, a control module, an Internet of Things platform, an actuator of the cutting bed device, and a perception and measurement device;

[0006] The data acquisition module is used to collect the electrical signals output by the sensing and measuring devices on the cutting bed equipment in real time and convert them into digital signals;

[0007] The first transmission module is connected to the data acquisition module, and is used to receive the digital signal collected by the data acquisition module, and to package, encrypt and transmit the digital signal to obtain encrypted data;

[0008] The control module is connected to the first transmission module, and is used to receive and analyze the encrypted data transmitted by the first transmission module, and when the encrypted data is analyzed to be abnormal, send a control command signal and an alarm signal according to a preset program;

[0009] The second transmission module is connected to the control module and is used to receive the control command signal and the alarm signal sent by the control module; it is also used to receive the device status signal sent by the actuator of the cutting bed device;

[0010] The control module is also used to receive the device status signal transmitted by the second transmission module;

[0011] The actuator of the cutting bed device is connected to the second transmission module, and is used to receive the control command signal transmitted by the second transmission module, and send the device status signal of the actuator to the second transmission module;

[0012] The Internet of Things platform is connected to the first transmission module and is used to receive, store, analyze and display the encrypted data transmitted by the first transmission module;

[0013] The Internet of Things platform is connected to the second transmission module and is used to receive, store, analyze and display the device status signal transmitted by the second transmission module;

[0014] The control module is connected to the Internet of Things platform and is used to receive and analyze the control command signal issued by the Internet of Things platform. If there is no error, the control command signal is transmitted to the second transmission module. If there is an error, a confirmation signal is sent to the Internet of Things platform.

[0015] Furthermore, the system also includes a shooting module, an image acquisition module and a third transmission module;

[0016] The shooting module is used to shoot pictures of the pattern of the fabric at preset time intervals;

[0017] The image acquisition module is connected to the shooting module and is used to collect information of the pattern image shot by the shooting module at a preset time interval;

[0018] The third transmission module is connected to the image acquisition module and is used to receive information of the pattern image acquired by the image acquisition module;

[0019] The Internet of Things platform is connected to the third transmission module, and is used to receive the information of the pattern image transmitted by the third transmission module, and store and analyze the information.

[0020] Furthermore, the Internet of Things platform is also used to compare the fabric pattern image information with the multiple fabric pattern image information in the image library to obtain the name of the fabric being produced, retrieve multiple pictures of the fabric according to the fabric name information and perform image comparison, and when an image comparison abnormality occurs, send an image abnormality alarm signal to the control module.

[0021] Furthermore, the system also includes a user interface interaction module;

[0022] The user interface interaction module is used to provide an operation interface for the staff and display equipment status, monitoring data, and alarm information;

[0023] The Internet of Things platform is connected to the user interface interaction module and is used to receive and analyze the control signal sent by the staff through the user interface interaction module. If there is no error, it will be sent to the control module; if there is an error, a confirmation signal will be sent to the user interface interaction module.

[0024] Furthermore, the system also includes an alarm module;

[0025] The alarm module is connected to the control module, and is used to send alarm signals to the user interface interaction module and the Internet of Things platform respectively after receiving the alarm signal sent by the control module.

[0026] Furthermore, the control module is also used to receive an image abnormality alarm signal sent by the Internet of Things platform, and send the image abnormality alarm signal to the alarm module;

[0027] The alarm module is also used to send an image abnormality alarm signal to the user interface interaction module and the Internet of Things platform respectively after receiving the image abnormality alarm signal sent by the control module.

[0028] Furthermore, the sensing and measuring equipment includes: a pressure sensor, a distance sensor, a displacement sensor, a vibration sensor, a smart meter, a vacuum meter, and an encoder.

[0029] The present invention also provides an Internet of Things perception method for the real-time status of a cutting table device.

[0030] The method includes: collecting electrical signals output by sensing and measuring devices on the cutting bed device in real time and converting them into digital signals;

[0031] Receive the digital signal collected by the data collection module, and package, encrypt and transmit the digital signal to obtain encrypted data;

[0032] Receiving and analyzing the encrypted data transmitted by the first transmission module, and sending a control command signal and an alarm signal according to a preset program when the encrypted data is analyzed to be abnormal;

[0033] Receive the control command signal and alarm signal sent by the control module; also used to receive the equipment status signal sent by the actuator of the cutting bed equipment;

[0034] Receiving a device status signal transmitted by the second transmission module;

[0035] receiving a control command signal transmitted by the second transmission module, and sending a device status signal of the actuator to the second transmission module;

[0036] Receiving, storing, analyzing and displaying the encrypted data transmitted by the first transmission module;

[0037] Receiving, storing, analyzing and displaying the device status signal transmitted by the second transmission module;

[0038] Receive and analyze the control command signal issued by the Internet of Things platform. If there is no error, transmit the control command signal to the second transmission module. If there is an error, send a confirmation signal to the Internet of Things platform.

[0039] Further, taking pictures of the pattern of the fabric at preset time intervals;

[0040] Collect information of the pattern image taken by the shooting module at preset time intervals;

[0041] Receive information of pattern pictures collected by the image acquisition module;

[0042] Receive the information of the pattern picture transmitted by the third transmission module, and store and analyze the information.

[0043] Furthermore, the fabric pattern picture information is compared with the multiple fabric pattern picture information in the picture library to obtain the name of the fabric being produced, and multiple pictures of the fabric are retrieved according to the fabric name information and image comparison is performed. When an image comparison abnormality occurs, an image abnormality alarm signal is sent to the control module.

[0044] Compared with the prior art, the advantages of the present invention are:

[0045] The cutting bed equipment real-time state IoT sensing system of the present invention utilizes IoT communication technology to realize remote state monitoring and display of fabric cutting bed equipment. By real-time monitoring of various key parameters of the cutting bed equipment and displaying them on the IoT platform and user interface interaction module, the staff can intuitively understand the equipment state, and control the cutting bed equipment to stop running when the equipment state is abnormal, and send out an alarm signal in time, which helps to remind the staff to find equipment abnormalities in time, troubleshoot equipment failures, avoid unnecessary losses, improve production efficiency, and reduce maintenance costs.

[0046] The present invention can also automatically identify fabric patterns, obtain fabric names, and can spot-check fabric patterns. When errors or stains occur in fabric patterns, an image abnormality alarm signal is sent to the Internet of Things platform, and staff are reminded in a timely manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 A schematic block diagram of a system according to an embodiment of the present invention;

[0048] Figure 2 A schematic block diagram of a system according to another embodiment of the present invention; DETAILED DESCRIPTION

[0049] The following will be combined with the accompanying drawings of the specification to provide a detailed and complete description of the technical solutions of the embodiments of the present invention. It should be noted that the described embodiments are only examples of some of the present invention and do not represent all possible implementation methods of the present invention. Based on the embodiments of the present invention, any other implementation methods obtained by ordinary technicians in this field without creative work shall fall within the scope of protection of the present invention.

[0050] The present invention provides a cutting machine equipment real-time state Internet of Things perception system, such as Figure 1 As shown, it includes: a data acquisition module, a first transmission module, a second transmission module, a control module, an Internet of Things platform, an actuator of a cutting bed device, and a sensing and measuring device;

[0051] The data acquisition module is used to collect the electrical signals output by the sensing and measuring devices on the cutting bed equipment in real time and convert them into digital signals;

[0052] The first transmission module is connected to the data acquisition module, and is used to receive the digital signal collected by the data acquisition module, and to package, encrypt and transmit the digital signal to obtain encrypted data;

[0053] The control module is connected to the first transmission module, and is used to receive and analyze the encrypted data transmitted by the first transmission module, and when the encrypted data is analyzed to be abnormal, send a control command signal and an alarm signal according to a preset program;

[0054] The second transmission module is connected to the control module and is used to receive the control command signal and the alarm signal sent by the control module; it is also used to receive the device status signal sent by the actuator of the cutting bed device;

[0055] The control module is also used to receive the device status signal transmitted by the second transmission module;

[0056] The actuator of the cutting bed device is connected to the second transmission module, and is used to receive the control command signal transmitted by the second transmission module, and send the device status signal of the actuator to the second transmission module;

[0057] The Internet of Things platform is connected to the first transmission module and is used to receive, store, analyze and display the encrypted data transmitted by the first transmission module;

[0058] The Internet of Things platform is connected to the second transmission module and is used to receive, store, analyze and display the device status signal transmitted by the second transmission module;

[0059] The control module is connected to the Internet of Things platform and is used to receive and analyze the control command signal issued by the Internet of Things platform. If there is no error, the control command signal is transmitted to the second transmission module. If there is an error, a confirmation signal is sent to the Internet of Things platform.

[0060] The cutting bed equipment real-time state IoT sensing system of the present invention utilizes IoT communication technology to realize remote state monitoring and display of fabric cutting bed equipment. By real-time monitoring of various key parameters of the cutting bed equipment and displaying them on the IoT platform, the staff can intuitively understand the equipment state and control the cutting bed equipment to stop running when the equipment state is abnormal, so as to improve production efficiency and reduce maintenance costs.

[0061] It should be noted that the first transmission module, the second transmission module and the third transmission module can use the 5G network as a data transmission channel to transmit the collected data to the Internet of Things platform and the control module in real time. The high speed and low latency characteristics provided by the 5G network ensure the real-time and accuracy of the data.

[0062] When the equipment leaves the factory, the equipment name and number will be set to identify and distinguish different cutting equipment. The IoT platform includes a display screen, on which various information of various equipment will be displayed.

[0063] In addition, when analyzing data, the control module and the Internet of Things platform also include processing various data to remove abnormal data. If multiple abnormal data appear continuously, a control command signal and an alarm signal will be sent.

[0064] In one embodiment of the present invention, Figure 2 As shown, the system also includes a shooting module, an image acquisition module and a third transmission module;

[0065] The shooting module is used to shoot pictures of the pattern of the fabric at preset time intervals;

[0066] The image acquisition module is connected to the shooting module and is used to collect information of the pattern image shot by the shooting module at a preset time interval;

[0067] The third transmission module is connected to the image acquisition module and is used to receive information of the pattern image acquired by the image acquisition module;

[0068] The Internet of Things platform is connected to the third transmission module, and is used to receive the information of the pattern image transmitted by the third transmission module, and store and analyze the information.

[0069] Preferably, the Internet of Things platform is also used to compare the fabric pattern picture information with the multiple fabric pattern picture information in the picture library to obtain the name of the fabric being produced, retrieve multiple pictures of the fabric according to the fabric name information and perform image comparison, and send an image abnormality alarm signal to the control module when an image comparison abnormality occurs. The present invention can obtain the fabric name by automatically identifying the fabric pattern, and can spot check the fabric pattern. When the fabric pattern is wrong or stained, an image abnormality alarm signal is sent to the Internet of Things platform, and the staff is reminded in time.

[0070] The present invention can also automatically identify fabric patterns and obtain fabric names through the mutual cooperation of the shooting module, the image acquisition module, the third transmission module and the Internet of Things platform, and can spot-check fabric patterns. When errors or stains appear in the fabric patterns, an image abnormality alarm signal is sent to the Internet of Things platform, and the staff is reminded in time.

[0071] In another embodiment of the present invention, Figure 2 As shown, the system also includes a user interface interaction module;

[0072] The user interface interaction module is used to provide an operation interface for the staff and display equipment status, monitoring data, and alarm information;

[0073] The Internet of Things platform is connected to the user interface interaction module and is used to receive and analyze the control signal sent by the staff through the user interface interaction module. If there is no error, it will be sent to the control module; if there is an error, a confirmation signal will be sent to the user interface interaction module.

[0074] The user interface and interactive module can be a mobile phone APP, which is convenient for the staff to view the equipment status, monitoring data and alarm information, and can also remotely control the cutting bed equipment.

[0075] Preferably, the system further comprises an alarm module;

[0076] The alarm module is connected to the control module, and is used to send alarm signals to the user interface interaction module and the Internet of Things platform respectively after receiving the alarm signal sent by the control module.

[0077] Preferably, the control module is also used to receive an image abnormality alarm signal sent by the Internet of Things platform, and send the image abnormality alarm signal to the alarm module;

[0078] The alarm module is also used to send image abnormality alarm signals to the user interface interaction module and the Internet of Things platform respectively after receiving the image abnormality alarm signal sent by the control module. It can control the cutting bed equipment to stop running when the equipment status is abnormal, and send out an alarm signal in time, which helps to remind the staff to find equipment abnormalities in time, troubleshoot equipment failures, avoid unnecessary losses, improve production efficiency, and reduce maintenance costs.

[0079] In some embodiments of the present invention, the sensing and measuring equipment includes: a pressure sensor, a distance sensor, a displacement sensor, a vibration sensor, a smart meter, a vacuum meter, and an encoder.

[0080] The pressure sensor can be used to monitor the pressure changes of the fabric on the cutting table, and the number of fabric layers can be calculated, which can be displayed in real time in the form of a bar graph or numbers on the IoT platform, user interface and interactive module.

[0081] The size of the fabric can be directly measured and monitored using a distance measuring sensor, and the actual size of the fabric can be displayed in real time in a dynamic rectangular frame or digital form on the IoT platform, user interface, and interactive module.

[0082] The displacement sensor can be used to monitor the displacement changes of the fabric during the cutting process and infer the hardness of the fabric.

[0083] The operating status and running time of the equipment can be monitored with the help of smart meters, and the working status and running time of the equipment can be displayed in real time in the form of indicator lights or progress bars on the IoT platform, user interface and interaction module.

[0084] The vacuum degree of the cutting table vacuum adsorption system can be monitored by a vacuum gauge, and the vacuum level can be displayed in real time in the form of a dashboard or digitally on the IoT platform and the user interface and interaction module.

[0085] The vibration speed of the tool during the cutting process can be monitored by a vibration sensor, and the vibration speed can be displayed in real time in waveform or digital form on the IoT platform, user interface and interactive module.

[0086] The encoder can be used to directly measure the motor speed of the attached tool and convert it into cutting speed based on the motor speed. The cutting speed can be displayed in real time in the form of a dashboard or digital form on the IoT platform and the user interface and interaction module.

[0087] The degree of tool wear can be calculated by monitoring the number of cuts and the quality of cuts. The tool wear status can be displayed in real time in the form of percentage or color gradient on the IoT platform, user interface and interactive module. Thresholds can also be set to remind users to replace tools.

[0088] The present invention also provides an Internet of Things perception method for the real-time status of a cutting table device.

[0089] Collect the electrical signals output by the sensing and measuring devices on the cutting bed equipment in real time and convert them into digital signals;

[0090] Receive the digital signal collected by the data collection module, and package, encrypt and transmit the digital signal to obtain encrypted data;

[0091] Receiving and analyzing the encrypted data transmitted by the first transmission module, and sending a control command signal and an alarm signal according to a preset program when the encrypted data is analyzed to be abnormal;

[0092] Receive the control command signal and alarm signal sent by the control module; also used to receive the equipment status signal sent by the actuator of the cutting bed equipment;

[0093] Receiving a device status signal transmitted by the second transmission module;

[0094] receiving a control command signal transmitted by the second transmission module, and sending a device status signal of the actuator to the second transmission module;

[0095] Receiving, storing, analyzing and displaying the encrypted data transmitted by the first transmission module;

[0096] Receiving, storing, analyzing and displaying the device status signal transmitted by the second transmission module;

[0097] Receive and analyze the control command signal issued by the Internet of Things platform. If there is no error, transmit the control command signal to the second transmission module. If there is an error, send a confirmation signal to the Internet of Things platform.

[0098] Preferably, taking pictures of the pattern of the fabric at preset time intervals;

[0099] Collect information of the pattern image taken by the shooting module at preset time intervals;

[0100] Receive information of pattern pictures collected by the image acquisition module;

[0101] Receive the information of the pattern picture transmitted by the third transmission module, and store and analyze the information.

[0102] Preferably, the fabric pattern picture information is compared with a plurality of fabric pattern picture information in a picture library to obtain the name of the fabric being produced, and a plurality of picture information of the fabric is retrieved according to the fabric name information and image comparison is performed, and when an image comparison abnormality occurs, an image abnormality alarm signal is sent to the control module.

[0103] The Internet of Things perception system for the real-time status of the cutting bed equipment of the present invention utilizes the Internet of Things communication technology to realize remote status monitoring and display of the fabric cutting bed equipment. By real-time monitoring of the key parameters of the cutting bed equipment and displaying them on the Internet of Things platform in real time, the staff can intuitively understand the equipment status, and control the cutting bed equipment to stop running when the equipment status is abnormal, and send out an alarm signal in time, which helps to remind the staff to find equipment abnormalities in time, troubleshoot equipment failures, avoid unnecessary losses, so as to improve production efficiency and reduce maintenance costs. The present invention can also automatically identify fabric patterns, obtain fabric names, and can spot check fabric patterns. When the fabric pattern is wrong or contaminated, it sends an image abnormality alarm signal to the Internet of Things platform and reminds the staff in time.

[0104] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

[0105] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0106] The above description is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of the claims of this specification.

Claims

1. A cutting machine equipment real-time status Internet of Things perception system, characterized in that: include: Data acquisition module, first transmission module, second transmission module, control module, Internet of Things platform, actuator and sensing and measuring equipment of cutting bed equipment; The data acquisition module is used to collect the electrical signals output by the sensing and measuring devices on the cutting bed equipment in real time and convert them into digital signals; The first transmission module is connected to the data acquisition module, and is used to receive the digital signal collected by the data acquisition module, and to package, encrypt and transmit the digital signal to obtain encrypted data; The control module is connected to the first transmission module, and is used to receive and analyze the encrypted data transmitted by the first transmission module, and when the encrypted data is analyzed to be abnormal, send a control command signal and an alarm signal according to a preset program; The second transmission module is connected to the control module and is used to receive the control command signal and the alarm signal sent by the control module; it is also used to receive the device status signal sent by the actuator of the cutting bed device; The control module is also used to receive the device status signal transmitted by the second transmission module; The actuator of the cutting bed device is connected to the second transmission module, and is used to receive the control command signal transmitted by the second transmission module, and send the device status signal of the actuator to the second transmission module; The Internet of Things platform is connected to the first transmission module and is used to receive, store, analyze and display the encrypted data transmitted by the first transmission module; The Internet of Things platform is connected to the second transmission module and is used to receive, store, analyze and display the device status signal transmitted by the second transmission module; The control module is connected to the Internet of Things platform and is used to receive and analyze the control command signal issued by the Internet of Things platform. If there is no error, the control command signal is transmitted to the second transmission module. If there is an error, a confirmation signal is sent to the Internet of Things platform.

2. The real-time state IoT perception system for cutting bed equipment according to claim 1 is characterized in that: The system also includes a shooting module, an image acquisition module and a third transmission module; The shooting module is used to shoot pictures of the pattern of the fabric at preset time intervals; The image acquisition module is connected to the shooting module and is used to collect information of the pattern image shot by the shooting module at a preset time interval; The third transmission module is connected to the image acquisition module and is used to receive information of the pattern image acquired by the image acquisition module; The Internet of Things platform is connected to the third transmission module, and is used to receive the information of the pattern image transmitted by the third transmission module, and store and analyze the information.

3. The real-time state IoT perception system for cutting bed equipment according to claim 2 is characterized in that: The IoT platform is also used to compare the fabric pattern image information with the multiple fabric pattern image information in the image library to obtain the name of the fabric being produced, retrieve multiple pictures of the fabric according to the fabric name information and perform image comparison. When an image comparison abnormality occurs, an image abnormality alarm signal is sent to the control module.

4. The real-time state IoT perception system for cutting bed equipment according to claim 1 is characterized in that: The system also includes a user interface interaction module; The user interface interaction module is used to provide an operation interface for the staff and display equipment status, monitoring data, and alarm information; The Internet of Things platform is connected to the user interface interaction module and is used to receive and analyze the control signal sent by the staff through the user interface interaction module. If there is no error, it will be sent to the control module; if there is an error, a confirmation signal will be sent to the user interface interaction module.

5. The real-time state IoT perception system for cutting bed equipment according to claim 4 is characterized in that: The system also includes an alarm module; The alarm module is connected to the control module, and is used to send alarm signals to the user interface interaction module and the Internet of Things platform respectively after receiving the alarm signal sent by the control module.

6. The Internet of Things perception system for the real-time status of the cutting machine equipment according to claims 3 and 5 is characterized in that: The control module is also used to receive the image abnormality alarm signal sent by the Internet of Things platform, and send the image abnormality alarm signal to the alarm module; The alarm module is also used to send an image abnormality alarm signal to the user interface interaction module and the Internet of Things platform respectively after receiving the image abnormality alarm signal sent by the control module.

7. The real-time state IoT perception system for cutting bed equipment according to claim 1 is characterized in that: The sensing and measuring equipment includes: a pressure sensor, a distance sensor, a displacement sensor, a vibration sensor, a smart meter, a vacuum meter, and an encoder.

8. A method for sensing the real-time status of a cutting machine in the Internet of Things, characterized in that: Collect the electrical signals output by the sensing and measuring devices on the cutting bed equipment in real time and convert them into digital signals; Receive the digital signal collected by the data collection module, and package, encrypt and transmit the digital signal to obtain encrypted data; Receiving and analyzing the encrypted data transmitted by the first transmission module, and sending a control command signal and an alarm signal according to a preset program when the encrypted data is analyzed to be abnormal; Receive the control command signal and alarm signal sent by the control module; also used to receive the equipment status signal sent by the actuator of the cutting bed equipment; Receiving a device status signal transmitted by the second transmission module; receiving a control command signal transmitted by the second transmission module, and sending a device status signal of the actuator to the second transmission module; Receiving, storing, analyzing and displaying the encrypted data transmitted by the first transmission module; Receiving, storing, analyzing and displaying the device status signal transmitted by the second transmission module; Receive and analyze the control command signal issued by the Internet of Things platform. If there is no error, transmit the control command signal to the second transmission module. If there is an error, send a confirmation signal to the Internet of Things platform.

9. The method for sensing the real-time status of a cutting machine in the Internet of Things according to claim 8 is characterized in that: Taking pictures of the fabric pattern at preset time intervals; Collect information of the pattern image taken by the shooting module at preset time intervals; Receive information of pattern pictures collected by the image acquisition module; Receive the information of the pattern picture transmitted by the third transmission module, and store and analyze the information.

10. The Internet of Things sensing method for the real-time status of a cutting machine according to claim 9 is characterized in that: The fabric pattern picture information is compared with the various fabric pattern picture information in the picture library to obtain the name of the fabric being produced. According to the fabric name information, multiple pictures of the fabric are retrieved and compared. When an image comparison abnormality occurs, an image abnormality alarm signal is sent to the control module.

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