Online dryness and drying stage detection and identification method and system for spraying production line

Abstract

The invention relates to the technical field of thermal insulation board spraying and drying, and particularly discloses a spraying production line online dryness drying stage detection and identification method and system.The method comprises the steps that S1, in the drying stage of a thermal insulation board spraying production line, a plurality of detection points are arranged in the length direction of the production line, each detection point is provided with a high-precision and wide-view infrared thermal imager; s2, acquiring temperature data of the surface of the insulation board at each detection point in real time through a non-contact measurement mode of an infrared thermal imager; a non-contact temperature measurement mode is adopted by the infrared camera, direct contact with the heat preservation plate is avoided, and therefore the heat preservation plate cannot be damaged or the performance of the heat preservation plate cannot be affected; the infrared camera can capture and display the temperature distribution on the surface of the insulation board in real time, so that a worker can quickly know the drying progress and effect; and by arranging a plurality of detection points, the whole drying process can be comprehensively monitored, and the dryness of each area is ensured to meet the requirement.

Description

Technical Field

[0001] The invention belongs to the technical field of spray drying of thermal insulation boards, and in particular relates to a method and system for detecting and identifying online dryness in a spray production line during a drying stage. Background Art

[0002] Online dryness detection during the drying stage of the spray production line is an important part of ensuring product quality and production efficiency. It monitors the temperature changes and dryness of the insulation board or other spray products in the drying process in real time to ensure that the product achieves the expected drying effect. Through the feedback of detection data, the parameters of the drying equipment are adjusted in time, the drying process is optimized, and the production efficiency and product quality are improved.

[0003] However, in the prior art, single-point temperature measuring devices are generally used. Such devices (such as thermocouples, thermal resistors, etc.) can usually only measure the temperature of one point. In the insulation board spraying production line, if only single-point temperature measuring devices are used, it is very likely that the temperature distribution of the entire insulation board surface cannot be captured, resulting in a detection blind spot. For this reason, a method and system for detecting and identifying the online dryness of a spraying production line during the drying stage is proposed. Summary of the invention

[0004] The purpose of the present invention is to provide a method and system for detecting and identifying the online dryness of a spray production line during the drying stage, so as to solve the problem that single-point temperature measuring equipment is generally used. Such equipment (such as thermocouples, thermal resistors, etc.) can usually only measure the temperature of one point. On the insulation board spray production line, if only single-point temperature measuring equipment is used, it is very likely that the temperature distribution of the entire insulation board surface cannot be captured, resulting in the problem of detection blind spots.

[0005] To achieve the above object, the present invention provides the following technical solutions: A method for detecting and identifying the drying stage of an online dryness of a spraying production line, comprising: S1: During the drying stage of the insulation board spraying production line, multiple inspection points are set up along the length of the production line, and each inspection point is equipped with a high-precision, wide-field infrared thermal imager; the infrared thermal imager has the function of automatically adjusting the focal length, exposure time and infrared sensitivity to adapt to insulation boards of different sizes, shapes and surface characteristics, and to capture and record the temperature distribution image of the insulation board surface in real time; at the same time, the infrared thermal imager is also equipped with a dustproof, waterproof and high-temperature resistant shell to ensure stable operation in harsh environments; S2: The non-contact measurement method of the infrared thermal imager is used to obtain the temperature data of the surface of the insulation board at each detection point in real time, and the temperature data is converted into a dryness index using advanced image processing algorithms and machine learning models. This index reflects the degree of water evaporation and heat distribution on the surface of the insulation board, while taking into account the influence of external factors such as ambient temperature, humidity, air flow velocity, insulation board material and coating type; S3: Compare the obtained dryness index with the preset dryness standard range; the standard range is pre-set according to factors such as the material, thickness, coating type, required dryness and production process requirements of the insulation board, and can be dynamically adjusted and optimized according to actual production conditions and historical data; S4: If the dryness index of the insulation board at any detection point does not meet the preset standard range, the alarm system will be triggered immediately to display the specific unqualified position and dryness index, and automatically adjust the parameters of the drying equipment through the control system; such as heating temperature, wind speed, drying time, internal pressure of the drying chamber and air circulation method to optimize the drying effect; at the same time, record and analyze the unqualified data, including the unqualified position, dryness index, parameters before and after adjustment, and adjustment effect, etc., for subsequent quality improvement and process optimization; S5: After adjusting the parameters, continue to monitor the dryness index of the insulation board until the indicators of all detection points meet the preset standard range to ensure that the insulation board reaches the predetermined dryness level, and record and analyze the adjusted drying effect data; including the changing trend of the dryness index, energy consumption, and production efficiency, etc., to evaluate and optimize the adjustment strategy.

[0006] Through the setting of the above technical scheme, the present invention uses an infrared thermal imager to measure using the principle of near-infrared light absorption, embeds the online moisture detector equipment into the production line, and realizes continuous production process control by combining with the transmission mechanism to ensure the stability of panel dryness.

[0007] By receiving and processing reflected light, as well as the embedded ultra-high-performance micro digital signal processing chip processing, storage and display of data, the moisture content can be measured quickly and accurately. During use, the sensor monitors the moisture content in the product in real time, and transmits the detected data to the computer to achieve real-time, continuous and accurate monitoring of the moisture content in the product. By measuring the moisture content, the dryness of the board can be mastered, and the boards that do not meet the dryness requirements can be dried again; In the online drying stage of the insulation board spraying production line, using multiple detection points and setting up infrared cameras at each detection point has the following benefits: The infrared camera adopts non-contact temperature measurement method, avoiding direct contact with the insulation board, thus not causing any damage to the insulation board or affecting its performance; The infrared camera can capture and display the temperature distribution on the surface of the insulation board in real time, so that the staff can quickly understand the drying progress and effect; by setting up multiple detection points, the entire drying process can be fully monitored to ensure that the dryness of each area meets the requirements; Infrared cameras are highly sensitive and can accurately capture tiny temperature changes, thereby improving detection accuracy; the setting of multiple detection points can further reduce errors and improve overall detection accuracy; The infrared camera has an array temperature measurement function and can cover a larger detection area to ensure that each detection point can be fully monitored. By adjusting the parameters of the camera, it can also monitor insulation boards of different sizes and shapes.

[0008] A method for detecting and identifying the drying stage of an online dryness of a spraying production line, further comprising the following steps: A1: After the drying stage, the surface quality of the insulation board is inspected using a machine vision system combined with deep learning algorithms and image recognition technology to automatically identify and mark defects or flaws such as cracks, bubbles, uneven coating, color difference, scratches, and contamination. It also provides information on the severity and location of the defects and possible repair suggestions. A2: If defects or flaws are found during the quality inspection, the relevant information will be automatically fed back to the control system, and the production line will be suspended. At the same time, an audible and visual alarm and SMS or email notification will be triggered to allow operators to conduct manual re-inspection or take other remedial measures. At the same time, the defect data, including defect type, location, quantity and repair measures, will be recorded and analyzed for subsequent quality improvement and process optimization.

[0009] A method for detecting and identifying the drying stage of an online dryness of a spraying production line, further comprising the following steps: C1: Before the insulation board enters the drying stage, the weight, thickness and appearance quality of the sprayed insulation board are measured using a weighing sensor, a thickness measuring device and image recognition technology to determine the thickness, uniformity and appearance quality of the spray layer; at the same time, a laser rangefinder or a 3D scanner is used to accurately measure the size and shape of the insulation board to ensure the accuracy and consistency of the spraying and drying process; C2: If the spray weight, thickness, appearance quality or size does not meet the preset standards, the parameters of the spray equipment are automatically adjusted, such as spray speed, spray pressure, spray volume, nozzle type and layout, and spray path, to ensure that the spray quality meets the requirements; at the same time, the adjusted spray effect data is recorded and analyzed, including the thickness distribution, uniformity, appearance quality, and energy consumption of the spray layer, to evaluate and optimize the adjustment strategy.

[0010] A detection system for a method for detecting and identifying the online dryness of a spraying production line during a drying stage, characterized in that it includes a spraying device, a drying device, a high-precision infrared thermal imager detection system, a machine vision quality inspection system, an intelligent control system, a data storage and analysis system, and a human-computer interaction interface; the detection system includes a plurality of high-precision, wide-field infrared thermal imagers, which are respectively arranged at different positions of the drying device, and are used to detect and record the temperature distribution image on the surface of the insulation board in real time; the machine vision quality inspection system is combined with a deep learning algorithm and image recognition technology to perform surface quality detection on the insulation board after the drying stage; the intelligent control system is connected to the detection system and the quality inspection system, and is used to receive detection data and quality inspection results, and adjust the parameters of the spraying device and the drying device according to a preset logic; the data storage and analysis system is used to store and analyze detection data, quality inspection results, effect data of adjustment strategies, and production line operation data, etc., to provide support for quality improvement, process optimization, and equipment maintenance of the production line; the human-computer interaction interface is used to display real-time production status, alarm information, adjustment strategies, and historical data, etc., so as to facilitate operators to monitor and manage the production line.

[0011] Compared with the prior art, the present invention has the following beneficial effects: The present invention adopts a non-contact temperature measurement method through an infrared camera, thereby avoiding direct contact with the insulation board, thereby not causing any damage to the insulation board or affecting its performance; the infrared camera can capture and display the temperature distribution on the surface of the insulation board in real time, so that the staff can quickly understand the drying progress and effect; by setting multiple detection points, comprehensive monitoring of the entire drying process can be achieved to ensure that the dryness of each area meets the requirements. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 is a flow chart of the steps of the present invention; Figure 2 It is a flow chart of the steps after drying detection of the present invention; Figure 3 It is a flow chart of the steps before drying detection of the present invention. DETAILED DESCRIPTION

[0013] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. Example

[0014] like Figure 1As shown, a method for detecting and identifying the drying stage of an online dryness of a spraying production line comprises: S1: During the drying stage of the insulation board spraying production line, multiple inspection points are set up along the length of the production line, and each inspection point is equipped with a high-precision, wide-field infrared thermal imager; the infrared thermal imager has the function of automatically adjusting the focal length, exposure time and infrared sensitivity to adapt to insulation boards of different sizes, shapes and surface characteristics, and to capture and record the temperature distribution image of the insulation board surface in real time; at the same time, the infrared thermal imager is also equipped with a dustproof, waterproof and high-temperature resistant shell to ensure stable operation in harsh environments; S2: The non-contact measurement method of the infrared thermal imager is used to obtain the temperature data of the surface of the insulation board at each detection point in real time, and the temperature data is converted into a dryness index using advanced image processing algorithms and machine learning models. This index reflects the degree of water evaporation and heat distribution on the surface of the insulation board, while taking into account the influence of external factors such as ambient temperature, humidity, air flow velocity, insulation board material and coating type; S3: Compare the obtained dryness index with the preset dryness standard range; the standard range is pre-set according to factors such as the material, thickness, coating type, required dryness and production process requirements of the insulation board, and can be dynamically adjusted and optimized according to actual production conditions and historical data; S4: If the dryness index of the insulation board at any detection point does not meet the preset standard range, the alarm system will be triggered immediately to display the specific unqualified position and dryness index, and automatically adjust the parameters of the drying equipment through the control system; such as heating temperature, wind speed, drying time, internal pressure of the drying chamber and air circulation method to optimize the drying effect; at the same time, record and analyze the unqualified data, including the unqualified position, dryness index, parameters before and after adjustment, and adjustment effect, etc., for subsequent quality improvement and process optimization; S5: After adjusting the parameters, continue to monitor the dryness index of the insulation board until the indicators of all detection points meet the preset standard range to ensure that the insulation board reaches the predetermined dryness level, and record and analyze the adjusted drying effect data; including the changing trend of the dryness index, energy consumption, and production efficiency, etc., to evaluate and optimize the adjustment strategy.

[0015] Through the setting of the above technical scheme, the present invention uses an infrared thermal imager to measure using the principle of near-infrared light absorption, embeds the online moisture detector equipment into the production line, and realizes continuous production process control by combining with the transmission mechanism to ensure the stability of panel dryness.

[0016] By receiving and processing reflected light, as well as the embedded ultra-high-performance micro digital signal processing chip processing, storage and display of data, the moisture content can be measured quickly and accurately. During use, the sensor monitors the moisture content in the product in real time, and transmits the detected data to the computer to achieve real-time, continuous and accurate monitoring of the moisture content in the product. By measuring the moisture content, the dryness of the board can be mastered, and the boards that do not meet the dryness requirements can be dried again; In the drying stage of the online drying of the insulation board spraying production line, using multiple detection points and setting up infrared cameras at each detection point has the following benefits: The infrared camera adopts non-contact temperature measurement method, avoiding direct contact with the insulation board, thus not causing any damage to the insulation board or affecting its performance; The infrared camera can capture and display the temperature distribution on the surface of the insulation board in real time, so that the staff can quickly understand the drying progress and effect; by setting up multiple detection points, the entire drying process can be fully monitored to ensure that the dryness of each area meets the requirements; Infrared cameras are highly sensitive and can accurately capture tiny temperature changes, thereby improving detection accuracy; the setting of multiple detection points can further reduce errors and improve overall detection accuracy; The infrared camera has an array temperature measurement function and can cover a larger detection area to ensure that each detection point can be fully monitored. By adjusting the parameters of the camera, it can also monitor insulation boards of different sizes and shapes. Example

[0017] A method for detecting and identifying the drying stage of an online dryness of a spraying production line, further comprising the following steps: A1: After the drying stage, the surface quality of the insulation board is inspected using a machine vision system combined with deep learning algorithms and image recognition technology to automatically identify and mark defects or flaws such as cracks, bubbles, uneven coating, color difference, scratches, and contamination. It also provides information on the severity and location of the defects and possible repair suggestions. A2: If defects or flaws are found during the quality inspection, the relevant information will be automatically fed back to the control system, and the production line will be suspended. At the same time, an audible and visual alarm and SMS or email notification will be triggered to allow operators to conduct manual re-inspection or take other remedial measures. At the same time, the defect data, including defect type, location, quantity and repair measures, will be recorded and analyzed for subsequent quality improvement and process optimization. Example

[0018] A method for detecting and identifying the drying stage of an online dryness of a spraying production line, further comprising the following steps: C1: Before the insulation board enters the drying stage, the weight, thickness and appearance quality of the sprayed insulation board are measured using a weighing sensor, a thickness measuring device and image recognition technology to determine the thickness, uniformity and appearance quality of the spray layer; at the same time, a laser rangefinder or a 3D scanner is used to accurately measure the size and shape of the insulation board to ensure the accuracy and consistency of the spraying and drying process; C2: If the spray weight, thickness, appearance quality or size does not meet the preset standards, the parameters of the spray equipment are automatically adjusted, such as spray speed, spray pressure, spray volume, nozzle type and layout, and spray path, to ensure that the spray quality meets the requirements; at the same time, the adjusted spray effect data is recorded and analyzed, including the thickness distribution, uniformity, appearance quality, and energy consumption of the spray layer, to evaluate and optimize the adjustment strategy.

[0019] A detection system for a method for detecting and identifying the online dryness of a spraying production line during a drying stage, characterized in that it includes a spraying device, a drying device, a high-precision infrared thermal imager detection system, a machine vision quality inspection system, an intelligent control system, a data storage and analysis system, and a human-computer interaction interface; the detection system includes a plurality of high-precision, wide-field infrared thermal imagers, which are respectively arranged at different positions of the drying device, and are used to detect and record the temperature distribution image on the surface of the insulation board in real time; the machine vision quality inspection system is combined with a deep learning algorithm and image recognition technology to perform surface quality detection on the insulation board after the drying stage; the intelligent control system is connected to the detection system and the quality inspection system, and is used to receive detection data and quality inspection results, and adjust the parameters of the spraying device and the drying device according to a preset logic; the data storage and analysis system is used to store and analyze detection data, quality inspection results, effect data of adjustment strategies, and production line operation data, etc., to provide support for quality improvement, process optimization, and equipment maintenance of the production line; the human-computer interaction interface is used to display real-time production status, alarm information, adjustment strategies, and historical data, etc., so as to facilitate operators to monitor and manage the production line.

[0020] Furthermore, this design application is used to detect and identify the online dryness of the spray production line of the insulation board during the drying stage. The infrared camera adopts a non-contact temperature measurement method to avoid direct contact with the insulation board, thereby not causing any damage to the insulation board or affecting its performance; the infrared camera can capture and display the temperature distribution on the surface of the insulation board in real time, so that the staff can quickly understand the drying progress and effect; by setting multiple detection points, the entire drying process can be fully monitored to ensure that the dryness of each area meets the requirements.

[0021] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for detecting and identifying the drying stage of an online dryness of a spraying production line, characterized in that: include: S1: During the drying stage of the insulation board spraying production line, multiple inspection points are set up along the length of the production line, and each inspection point is equipped with a high-precision, wide-field infrared thermal imager; S2: The non-contact measurement method of infrared thermal imager is used to obtain the temperature data of the surface of the insulation board at each detection point in real time, and the temperature data is converted into dryness index using advanced image processing algorithms and machine learning models; S3: comparing the obtained dryness index with a preset dryness standard range; S4: If the dryness index of the insulation board at any detection point does not meet the preset standard range, the alarm system will be triggered immediately to display the specific unqualified location and dryness index, and automatically adjust the parameters of the drying equipment through the control system; S5: After adjusting the parameters, continue to monitor the dryness index of the insulation board until the indexes of all detection points meet the preset standard range to ensure that the insulation board reaches the predetermined dryness, and record and analyze the adjusted drying effect data.

2. A method for detecting and identifying the drying stage of an online dryness of a spraying production line according to claim 1, characterized in that: The infrared thermal imager has the function of automatically adjusting the focal length, exposure time and infrared sensitivity, and is provided with a dustproof, waterproof and high temperature resistant shell.

3. The method for detecting and identifying the drying stage of an online dryness of a spraying production line according to claim 1, characterized in that: The temperature data on the surface of the insulation board are the ambient temperature, humidity and air flow velocity, and the dryness index is used to reflect the degree of water evaporation and heat distribution on the surface of the insulation board.

4. The method for detecting and identifying the drying stage of an online dryness of a spraying production line according to claim 1, characterized in that: The dryness standard range is the material, thickness, coating type, required dryness level and production process requirements of the insulation board.

5. The method for detecting and identifying the drying stage of an online dryness of a spraying production line according to claim 1, characterized in that: The parameters of the drying equipment are heating temperature, wind speed, drying time, pressure inside the drying chamber and air circulation mode.

6. The method for detecting and identifying the drying stage of an online dryness of a spraying production line according to claim 1, characterized in that: The drying effect data indicators include the change trend of the dryness index, energy consumption and production efficiency.

7. A method for detecting and identifying the drying stage of an online dryness of a spraying production line according to any one of claims 1 to 6, characterized in that: Also included are: A1: After the drying stage, the surface quality of the insulation board is inspected using a machine vision system combined with deep learning algorithms and image recognition technology to automatically identify and mark defects or flaws; A2: If defects or flaws are found during quality inspection, the relevant information will be automatically fed back to the control system, the production line will be paused, and sound and light alarms and SMS or email notifications will be triggered. The defect data will also be recorded and analyzed.

8. A method for detecting and identifying the drying stage of an online dryness of a spraying production line according to claim 7, characterized in that: The marked defects or flaws are cracks, bubbles, uneven coating, color difference, scratches and pollution, and the recorded and analyzed defect data include defect type, location, quantity and repair measures.

9. A method for detecting and identifying the drying stage of an online dryness of a spraying production line according to claim 1, characterized in that: Also includes: C1: Before the insulation board enters the drying stage, the weight, thickness and appearance quality of the sprayed insulation board are measured using a weighing sensor, thickness measuring device and image recognition technology, and the size and shape of the insulation board are accurately measured using a laser rangefinder or a 3D scanner; C2: If the spray weight, thickness, appearance quality or size does not meet the preset standards, the parameters of the spray equipment will be automatically adjusted, and the adjusted spray effect data will be recorded and analyzed.

10. A detection system using the method for detecting and identifying the drying stage of an online dryness of a spraying production line according to any one of claims 1 to 9, characterized in that: It includes spraying equipment, drying equipment, high-precision infrared thermal imager detection system, machine vision quality inspection system, intelligent control system, data storage and analysis system and human-computer interaction interface.

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