Temperature control supervision system for carpet gluing processing based on Internet of Things

Abstract

The invention relates to the technical field of carpet processing temperature control, in particular to a temperature control supervision system for carpet gluing processing based on the Internet of Things, which comprises a processing temperature control supervision center, a regional temperature control unit, a glue solution evaluation unit, a side calibration unit and a temperature control response unit, according to the method, two points of regional temperature control and regional glue solution expression are preliminarily analyzed, whether regional temperature control of the temperature control equipment is normal or not can be evaluated, meanwhile, a temperature control region with defects can be positioned, potential fault risks can be eliminated, the temperature control precision and safety of each region of the temperature control equipment can be improved, and the reliability of the temperature control equipment can be improved. And meanwhile, sizing quality evaluation feedback analysis is deeply performed on the acquired appearance feature image of the sizing processing surface of the carpet in an information progressive manner, so that a temperature control area with defects can be checked, existing problems can be further checked, and the quality risk of sizing processing of the carpet is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of carpet processing temperature control, and in particular to a temperature control and monitoring system for carpet gluing processing based on the Internet of Things. Background Art

[0002] Carpets are decorative items with patterns made from a combination of various materials. They are often seen in homes and public places, such as living rooms and bedrooms, hotels and halls, or in some companies where carpets are used instead of floor tiles. During carpet production, a gluing device is required to gluing one side of the carpet, making it easier to lay the carpet.

[0003] However, existing technologies fail to analyze the temperature control risks of the temperature control equipment used in carpet gluing processes. This increases the risk of glue quality problems in the carpet gluing equipment, leading to a decrease in carpet gluing quality. This also hinders the location and management of defective temperature control areas, preventing timely repairs of the glue temperature control equipment. Furthermore, analysis of carpet gluing conditions is impossible, reducing the reliability of temperature control management.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the Invention

[0005] The object of the present invention is to provide a temperature control and monitoring system for carpet gluing processing based on the Internet of Things to solve the technical defects mentioned above. The present invention initially analyzes from two points of view: regional temperature control and regional glue performance, which helps to evaluate whether the regional temperature control of the temperature control equipment is normal, and at the same time helps to locate the defective temperature control area, and display the area with temperature control abnormalities through text feedback, so that based on the displayed coordinates, the temperature control equipment corresponding to the interfering temperature control block can be repaired to eliminate potential fault risks, thereby helping to improve the temperature control accuracy and safety of each area of the temperature control equipment. At the same time, through information progressiveness, the collected appearance feature images of the carpet gluing processing surface are deeply evaluated and feedback analyzed for gluing quality, so that the defective temperature control area can be verified to improve the temperature control management efficiency and reliability of the entire carpet gluing process, and at the same time help to further investigate existing problems to reduce the quality risks of carpet gluing processing.

[0006] The object of the present invention can be achieved by the following technical solutions: a temperature control and supervision system for carpet gluing processing based on the Internet of Things, comprising a processing temperature control and supervision center, a regional temperature control unit, a glue liquid evaluation unit, a side calibration unit, and a temperature control response unit;

[0007] The processing temperature control supervision center is used to retrieve the temperature control data and glue data of the temperature control equipment, and send the temperature control data to the regional temperature control unit for regional temperature control risk assessment feedback analysis, perform discrimination processing on the obtained temperature control deviation risk value, and obtain a normal temperature control block and a risk temperature control block, send the glue data to the glue assessment unit for regional glue performance analysis, perform discrimination processing on the obtained glue quality risk value and glue viscosity deviation range, and obtain a regular temperature control block and an abnormal temperature control block, perform intersection analysis on the normal temperature control block, the risk temperature control block, the regular temperature control block, and the abnormal temperature control block, and obtain a temperature control signal or a fault signal;

[0008] When a fault signal is generated, the side calibration unit is used to perform glue quality assessment feedback analysis on the collected appearance feature images of the carpet glue processing surface, and to perform discrimination processing on the obtained glue thickness floating value and glue quality value to obtain accurate signals and deviation signals.

[0009] Preferably, the regional temperature control risk assessment feedback analysis process is as follows:

[0010] The carpet gluing process period is collected and set as the time threshold. The carpet forward direction is set as the X-axis, which is the direction pointed by the left thumb. The direction of the rubber roller axis and perpendicular to the X-axis is set as the Y-axis, which is the direction of the Y-axis and the left four fingers. Then, a plane coordinate system is established to obtain the temperature control area of the temperature control device corresponding to the carpet gluing process within the time threshold. The temperature control area is divided into i sub-area blocks along the Y-axis direction, where i is a natural number greater than zero. The temperature control data corresponding to each sub-area block is obtained. The temperature control data includes the regional temperature deviation value and the temperature rise rate. At the same time, the standard temperature control data corresponding to each sub-area block is obtained.

[0011] The regional temperature deviation value represents the difference between the maximum rising temperature and the maximum falling temperature of the corresponding temperature value of the sub-region block.

[0012] Preferably, the temperature control data is compared and analyzed one by one with the corresponding standard temperature control data, and the number of corresponding values of the temperature control data that do not meet the corresponding parameters of the corresponding standard temperature control data is obtained, and it is set as the temperature control deviation risk value, and the temperature control deviation risk value is judged. If the temperature control deviation risk value is equal to zero, the corresponding sub-region block is judged to be a normal temperature control block; if the temperature control deviation risk value is not equal to zero, the corresponding sub-region block is judged to be a risky temperature control block.

[0013] Preferably, the regional glue performance analysis process is as follows: obtaining glue data corresponding to each sub-region block, the glue data including glue temperature value and glue viscosity value, obtaining the total duration of the portion of the glue temperature value within the time threshold that deviates from the preset glue temperature value threshold and is greater than the preset threshold, and setting it as the glue quality risk value, and simultaneously obtaining the variation range of the glue viscosity value and setting it as the glue viscosity deviation range;

[0014] The glue liquid quality risk value and the glue liquid viscosity deviation range are judged and processed: if the glue liquid quality risk value is less than the preset glue liquid quality risk value, and the glue liquid viscosity deviation range is included in the preset glue liquid viscosity deviation range, then the corresponding sub-region block is judged to be a conventional temperature control block; if the glue liquid quality risk value is greater than or equal to the preset glue liquid quality risk value, or the glue liquid viscosity deviation range is not included in the preset glue liquid viscosity deviation range, then the corresponding sub-region block is judged to be an abnormal temperature control block.

[0015] Preferably, the intersection analysis process is as follows:

[0016] The corresponding sub-region blocks of the sub-region blocks set as normal temperature control blocks and conventional temperature control blocks are set as qualified temperature control blocks, and the corresponding sub-region blocks of the sub-region blocks set as normal temperature control blocks and abnormal temperature control blocks or risk temperature control blocks and conventional temperature control blocks or risk temperature control blocks and abnormal temperature control blocks are set as interference temperature control blocks;

[0017] The total number of qualified temperature control blocks is obtained and judged: if the total number of qualified temperature control blocks is equal to i, a temperature control signal is generated; if the total number of qualified temperature control blocks is not equal to i, a fault signal is generated.

[0018] Preferably, the gluing quality assessment feedback analysis process is as follows:

[0019] Obtain the appearance feature image of the carpet gluing surface within the time threshold, divide the appearance feature image into g sub-region blocks along the Y-axis direction, where g is a natural number greater than zero, and the sub-region blocks are divided at the same spacing along the Y-axis direction. Obtain the gluing data corresponding to each sub-region block, which includes the gluing thickness floating value and the gluing quality value. Perform discrimination processing on the gluing thickness floating value and the gluing quality value:

[0020] If the glue thickness floating value is greater than the preset glue thickness floating value threshold, or the glue quality value is greater than the preset glue quality value threshold, the corresponding area block of the carpet is determined to be a defective area block; if the glue thickness floating value is less than or equal to the preset glue thickness floating value threshold, and the glue quality value is less than or equal to the preset glue quality value threshold, the corresponding area block of the carpet is determined to be a stable area block.

[0021] Preferably, the coordinates of the center point of the defective area block on the Y axis are obtained and set as the defect coordinates; the coordinates of the center point of the interference temperature control block on the Y axis in the preset warning text corresponding to the fault signal are set as the output test coordinates;

[0022] The defect coordinates are compared and analyzed one by one with the output test coordinates to obtain the number of defect coordinates that are the same as the output test coordinates, and the number of defect coordinates that are the same as the output test coordinates is discriminated and processed to obtain an accurate signal or a deviation signal.

[0023] Preferably, the adhesive thickness floating value represents the difference between the maximum adhesive thickness and the minimum adhesive thickness corresponding to the sub-region block; the adhesive quality value represents the average density of carbonized particles on the adhesive layer surface corresponding to the sub-region block.

[0024] The beneficial effects of the present invention are as follows:

[0025] (1) The present invention initially analyzes the regional temperature control and regional glue performance from two points, which helps to evaluate whether the regional temperature control of the temperature control equipment is normal. It also helps to locate the temperature control area with defects and display the area with abnormal temperature control through text feedback. Based on the displayed coordinates, the temperature control equipment corresponding to the interfering temperature control block can be repaired to eliminate potential fault risks, thereby helping to improve the temperature control accuracy and safety of each area of the temperature control equipment;

[0026] (2) The present invention conducts an in-depth feedback analysis of the gluing quality assessment on the collected appearance feature images of the carpet gluing processing surface in an information progressive manner, so as to verify the temperature control area with defects, thereby improving the temperature control management efficiency and reliability of the entire carpet gluing process, and at the same time helping to further investigate existing problems to reduce the quality risk of the carpet gluing process. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] The present invention will be further described below with reference to the accompanying drawings;

[0028] Figure 1 It is a flow chart of the system of the present invention;

[0029] Figure 2 This is a reference diagram for local analysis of Example 1 of the present invention. DETAILED DESCRIPTION

[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0031] References to "embodiments" herein mean that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute a separate or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments;

[0032] Example 1:

[0033] See also Figures 1 to 2 As shown, the present invention is a temperature control and supervision system for carpet gluing processing based on the Internet of Things, including a processing temperature control and supervision center, a regional temperature control unit, a glue liquid evaluation unit, a side calibration unit and a temperature control response unit. The processing temperature control and supervision center is connected to the regional temperature control unit and the temperature control response unit in a one-way communication manner, the regional temperature control unit is connected to the glue liquid evaluation unit in a one-way communication manner, the processing temperature control and supervision center is connected to the glue liquid evaluation unit in a two-way communication manner, the glue liquid evaluation unit is connected to the side calibration unit in a one-way communication manner, and the side calibration unit is connected to the processing temperature control and supervision center in a one-way communication manner;

[0034] The processing temperature control supervision center is used to retrieve the temperature control data and glue data of the temperature control equipment, and send the temperature control data to the regional temperature control unit for regional temperature control risk assessment feedback analysis, and send the glue data to the glue assessment unit for regional glue performance analysis. That is, the analysis from the two points of regional temperature control and regional glue performance helps to evaluate whether the regional temperature control of the temperature control equipment is normal, and also helps to locate defective temperature control areas. The specific regional temperature control risk assessment feedback analysis process is as follows:

[0035] The carpet gluing process period is collected and set as the time threshold. The carpet forward direction is set as the X-axis, which is the direction pointed by the left thumb. The direction of the rubber roller axis and perpendicular to the X-axis is set as the Y-axis, which is the direction of the Y-axis and the four fingers of the left hand. Then, a plane coordinate system is established to obtain the temperature control area of the temperature control device corresponding to the carpet gluing process within the time threshold. The temperature control area is divided into i sub-area blocks along the Y-axis direction, where i is a natural number greater than zero. The temperature control data corresponding to each sub-area block is obtained. The temperature control data includes the regional temperature deviation value, temperature rise rate, etc. At the same time, the standard temperature control data corresponding to each sub-area block is obtained.

[0036] For example, if the regional temperature deviation value in the temperature control data is 2°C and the regional temperature deviation value in the standard temperature control data is 4°C, then the regional temperature deviation value is less than the regional temperature deviation value in the standard temperature control data, that is, 2°C < 4°C, which is in compliance. If the regional temperature deviation value in the standard temperature control data is 1°C, then 2°C > 1°C, which is not in compliance. If the regional temperature deviation value in the standard temperature control data is 2°C, then 2°C = 2°C, which is not in compliance.

[0037] If the temperature rise rate in the temperature control data is 2°C / s and the temperature rise rate in the standard temperature control data is 3°C / s, then the temperature rise rate is not equal to the temperature rise rate in the standard temperature control data, that is, 2°C / s ≠ 3°C / s, and the product does not comply. If the temperature rise rate is equal to the temperature rise rate in the standard temperature control data, the product complies. For example, if the temperature rise rate in the temperature control data is 3°C / s, that is, 3°C / s = 3°C / s, the product complies.

[0038] For example, the glue tank is rectangular, the rubber roller is located below the glue tank, and the glue tank is the temperature control area. The length of the glue tank parallel to the rubber roller is 120 cm. The glue tank length is divided into 4 cm sections along the Y-axis, and i = 30 is obtained. That is, the glue tank is divided according to the division requirements, thereby reducing the temperature control area to i parts;

[0039] The regional temperature deviation value represents the difference between the maximum rising temperature and the maximum falling temperature of the corresponding temperature value of the sub-region block. It should be noted that the regional temperature deviation value is an influencing parameter reflecting the temperature control accuracy of each area in the carpet gluing process;

[0040] Compare and analyze the temperature control data with the corresponding standard temperature control data one by one, obtain the number of temperature control data corresponding values that do not meet the corresponding parameters of the standard temperature control data, set it as the temperature control deviation risk value, and perform judgment processing on the temperature control deviation risk value:

[0041] If the temperature control deviation risk value is equal to zero, the corresponding sub-region block is determined to be a normal temperature control block;

[0042] If the temperature control deviation risk value is not equal to zero, the corresponding sub-region block is determined to be a risky temperature control block;

[0043] The analysis process of regional glue performance of specific glue evaluation units is as follows:

[0044] The glue liquid data corresponding to each sub-region block is obtained, and the glue liquid data includes the glue liquid temperature value and the glue liquid viscosity value. The total duration of the portion of the glue liquid temperature value that deviates from the preset glue liquid temperature value threshold within the time threshold and is greater than the preset threshold is obtained and set as the glue liquid quality risk value. At the same time, the change range of the glue liquid viscosity value is obtained and set as the glue liquid viscosity deviation range;

[0045] Identify and process the glue liquid quality risk value and glue liquid viscosity deviation range:

[0046] If the glue liquid quality risk value is less than the preset glue liquid quality risk value, and the glue liquid viscosity deviation range is included in the preset glue liquid viscosity deviation range, then the corresponding sub-region block is determined to be a conventional temperature control block;

[0047] If the glue liquid quality risk value is greater than or equal to the preset glue liquid quality risk value, or the glue liquid viscosity deviation range is not included in the preset glue liquid viscosity deviation range, then the corresponding sub-region block is determined to be an abnormal temperature control block;

[0048] Perform intersection analysis on normal temperature control blocks, risk temperature control blocks, conventional temperature control blocks, and abnormal temperature control blocks, and set the corresponding sub-region blocks of sub-region blocks set as normal temperature control blocks and conventional temperature control blocks as qualified temperature control blocks, and set the corresponding sub-region blocks of sub-region blocks set as normal temperature control blocks and abnormal temperature control blocks, or risk temperature control blocks and conventional temperature control blocks, or risk temperature control blocks and abnormal temperature control blocks as interference temperature control blocks;

[0049] Get the total number of qualified temperature control blocks and perform judgment on the total number of qualified temperature control blocks:

[0050] If the total number of qualified temperature control blocks is equal to i, a temperature control signal is generated;

[0051] If the total number of qualified temperature control blocks is not equal to i, a fault signal is generated and the temperature control signal or fault signal is sent to the temperature control response unit. After receiving the temperature control signal or fault signal, the temperature control response unit immediately displays the preset warning text corresponding to the temperature control signal or fault signal, that is, the preset warning text corresponding to the temperature control signal is "continuous monitoring", and the preset warning text corresponding to the fault signal is "the coordinate of the center point corresponding to the interference temperature control block is located on the Y-axis". Based on the intuitively displayed coordinates, the temperature control equipment corresponding to the interference temperature control block is inspected and repaired to eliminate potential fault risks, which helps to improve the temperature control accuracy and safety of various areas of the temperature control equipment.

[0052] Example 2:

[0053] When a fault signal is generated, the side calibration unit is used to perform glue quality assessment feedback analysis on the collected appearance feature images of the carpet gluing process surface. This allows verification of defective temperature control areas, thereby improving the efficiency and reliability of temperature control management throughout the carpet gluing process. This also helps to further troubleshoot existing problems and reduce quality risks in the carpet gluing process. The specific glue quality assessment feedback analysis process is as follows:

[0054] Obtain the appearance feature image of the carpet gluing surface within the time threshold, divide the appearance feature image into g sub-region blocks along the Y-axis direction, where g is a natural number greater than zero, and the sub-region blocks are divided at the same spacing along the Y-axis direction. Obtain the gluing data corresponding to each sub-region block, which includes the gluing thickness floating value and the gluing quality value. Perform discrimination processing on the gluing thickness floating value and the gluing quality value:

[0055] If the gluing thickness floating value is greater than the preset gluing thickness floating value threshold, or the gluing quality value is greater than the preset gluing quality value threshold, the corresponding area block of the carpet is determined to be a defective area block;

[0056] If the gluing thickness floating value is less than or equal to the preset gluing thickness floating value threshold, and the gluing quality value is less than or equal to the preset gluing quality value threshold, then the corresponding area block of the carpet is determined to be a stable area block;

[0057] Obtain the coordinates of the center point of the defective area block on the Y axis and set them as the defect coordinates;

[0058] The coordinate of the center point of the interference temperature control block in the preset warning text corresponding to the fault signal on the Y axis is set as the output test coordinate;

[0059] Compare and analyze the defect coordinates with the output test coordinates one by one, obtain the number of defect coordinates that are the same as the output test coordinates, and perform discrimination processing on the number of defect coordinates that are the same as the output test coordinates:

[0060] If the number of defect coordinates that are identical to the output test coordinates is equal to the number of output test coordinates, an accurate signal is generated;

[0061] If the number of defect coordinates that are identical to the output test coordinates is not equal to the number of output test coordinates, a deviation signal is generated, and the accurate signal and the deviation signal are sent to the temperature control response unit. After receiving the accurate signal and the deviation signal, the temperature control response unit immediately displays the preset warning text corresponding to the accurate signal and the deviation signal. That is, the preset warning text corresponding to the accurate signal is "temperature control feedback accurate", and the preset warning text corresponding to the deviation signal is "temperature control feedback deviation". That is, based on the feedback text, the existing problem is checked, and the impact of temperature control on the carpet gluing process is further analyzed to improve the quality of the carpet gluing process.

[0062] The glue thickness floating value represents the difference between the maximum and minimum glue thickness values corresponding to the sub-region block; the glue quality value represents the average density of carbonized particles on the surface of the glue layer corresponding to the sub-region block. It should be noted that the glue thickness floating value and the glue quality value are two parameters that reflect the quality of the glue liquid.

[0063] In summary, the present invention preliminarily analyzes from two points of view, regional temperature control and regional glue performance, which helps to evaluate whether the regional temperature control of the temperature control equipment is normal, and helps to locate the defective temperature control area, and display the area with temperature control abnormalities through text feedback, so that based on the displayed coordinates, the temperature control equipment corresponding to the interfering temperature control block can be repaired to eliminate potential fault risks, thereby helping to improve the temperature control accuracy and safety of each area of the temperature control equipment. At the same time, through information progressiveness, the collected appearance feature images of the carpet gluing surface are deeply analyzed for gluing quality assessment feedback analysis, so as to verify the defective temperature control area, so as to improve the temperature control management efficiency and reliability of the entire carpet gluing process, and help to further investigate existing problems to reduce the quality risk of carpet gluing process.

[0064] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each set of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0065] The above description is only a preferred specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with the technical field, within the technical scope disclosed by the present invention, who makes equivalent replacements or changes based on the technical solution and inventive concept of the present invention, should be covered by the scope of protection of the present invention.

Claims

1. The temperature control and monitoring system for carpet gluing processing based on the Internet of Things is characterized by: Including processing temperature control supervision center, regional temperature control unit, glue evaluation unit, side calibration unit and temperature control response unit; The processing temperature control supervision center is used to retrieve the temperature control data and glue data of the temperature control equipment, and send the temperature control data to the regional temperature control unit for regional temperature control risk assessment feedback analysis, perform discrimination processing on the obtained temperature control deviation risk value, and obtain a normal temperature control block and a risk temperature control block, send the glue data to the glue assessment unit for regional glue performance analysis, perform discrimination processing on the obtained glue quality risk value and glue viscosity deviation range, and obtain a regular temperature control block and an abnormal temperature control block, perform intersection analysis on the normal temperature control block, the risk temperature control block, the regular temperature control block, and the abnormal temperature control block, and obtain a temperature control signal or a fault signal; When a fault signal is generated, the side calibration unit is used to perform glue quality assessment feedback analysis on the collected appearance feature images of the carpet glue processing surface, and to perform discrimination processing on the obtained glue thickness floating value and glue quality value to obtain accurate signals and deviation signals.

2. The temperature control and monitoring system for carpet gluing processing based on the Internet of Things according to claim 1 is characterized in that: The regional temperature control risk assessment feedback analysis process is as follows: The carpet gluing process period is collected and set as the time threshold. The carpet forward direction is set as the X-axis, which is the direction pointed by the left thumb. The direction of the rubber roller axis and perpendicular to the X-axis is set as the Y-axis, which is the direction of the Y-axis and the left four fingers. Then, a plane coordinate system is established to obtain the temperature control area of the temperature control device corresponding to the carpet gluing process within the time threshold. The temperature control area is divided into i sub-area blocks along the Y-axis direction, where i is a natural number greater than zero. The temperature control data corresponding to each sub-area block is obtained. The temperature control data includes the regional temperature deviation value and the temperature rise rate. At the same time, the standard temperature control data corresponding to each sub-area block is obtained. The regional temperature deviation value represents the difference between the maximum rising temperature and the maximum falling temperature of the corresponding temperature value of the sub-region block.

3. The temperature control and monitoring system for carpet gluing processing based on the Internet of Things according to claim 2 is characterized in that: The temperature control data is compared and analyzed with the corresponding standard temperature control data one by one. The number of corresponding values of the temperature control data that do not meet the corresponding parameters of the corresponding standard temperature control data is obtained and set as the temperature control deviation risk value. The temperature control deviation risk value is then judged. If the temperature control deviation risk value is zero, the corresponding sub-region block is judged to be a normal temperature control block; If the temperature control deviation risk value is not equal to zero, the corresponding sub-region block is determined to be a risky temperature control block.

4. The temperature control and monitoring system for carpet gluing processing based on the Internet of Things according to claim 1 is characterized in that: The regional glue performance analysis process is as follows: obtaining glue data corresponding to each sub-region block, the glue data including glue temperature value and glue viscosity value, obtaining the total duration of the portion of the glue temperature value that deviates from the preset glue temperature value threshold within the time threshold and is greater than the preset threshold, and setting it as the glue quality risk value; at the same time, obtaining the change range of the glue viscosity value and setting it as the glue viscosity deviation range; The glue liquid quality risk value and the glue liquid viscosity deviation range are judged and processed: if the glue liquid quality risk value is less than the preset glue liquid quality risk value, and the glue liquid viscosity deviation range is included in the preset glue liquid viscosity deviation range, then the corresponding sub-region block is judged to be a conventional temperature control block; if the glue liquid quality risk value is greater than or equal to the preset glue liquid quality risk value, or the glue liquid viscosity deviation range is not included in the preset glue liquid viscosity deviation range, then the corresponding sub-region block is judged to be an abnormal temperature control block.

5. The temperature control and monitoring system for carpet gluing processing based on the Internet of Things according to claim 4 is characterized in that: The intersection analysis process is as follows: The corresponding sub-region blocks of the sub-region blocks set as normal temperature control blocks and conventional temperature control blocks are set as qualified temperature control blocks, and the corresponding sub-region blocks of the sub-region blocks set as normal temperature control blocks and abnormal temperature control blocks or risk temperature control blocks and conventional temperature control blocks or risk temperature control blocks and abnormal temperature control blocks are set as interference temperature control blocks; The total number of qualified temperature control blocks is obtained and the total number of qualified temperature control blocks is judged: if the total number of qualified temperature control blocks is equal to i, a temperature control signal is generated; If the total number of qualified temperature control blocks is not equal to i, a fault signal is generated.

6. The temperature control and monitoring system for carpet gluing processing based on the Internet of Things according to claim 1 is characterized in that: The gluing quality assessment feedback analysis process is as follows: Obtain the appearance feature image of the carpet gluing surface within the time threshold, divide the appearance feature image into g sub-region blocks along the Y-axis direction, where g is a natural number greater than zero, and the sub-region blocks are divided at the same spacing along the Y-axis direction. Obtain the gluing data corresponding to each sub-region block, which includes the gluing thickness floating value and the gluing quality value. Perform discrimination processing on the gluing thickness floating value and the gluing quality value: If the glue thickness floating value is greater than the preset glue thickness floating value threshold, or the glue quality value is greater than the preset glue quality value threshold, the corresponding area block of the carpet is determined to be a defective area block; if the glue thickness floating value is less than or equal to the preset glue thickness floating value threshold, and the glue quality value is less than or equal to the preset glue quality value threshold, the corresponding area block of the carpet is determined to be a stable area block.

7. The temperature control and monitoring system for carpet gluing processing based on the Internet of Things according to claim 6 is characterized in that: Obtain the coordinates of the center point of the defective area block on the Y axis and set them as the defect coordinates; set the coordinates of the center point of the interference temperature control block on the Y axis in the preset warning text corresponding to the fault signal as the output test coordinates; The defect coordinates are compared and analyzed one by one with the output test coordinates to obtain the number of defect coordinates that are the same as the output test coordinates, and the number of defect coordinates that are the same as the output test coordinates is discriminated and processed to obtain an accurate signal or a deviation signal.

8. The temperature control and monitoring system for carpet gluing processing based on the Internet of Things according to claim 7 is characterized in that: The adhesive thickness floating value represents the difference between the maximum adhesive thickness and the minimum adhesive thickness corresponding to the sub-region block; the adhesive mass value represents the average density of carbonized particles on the adhesive layer surface corresponding to the sub-region block.

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