Self-adaptive regulation and control method and system for automatic production of hot melt coating

Abstract

The invention discloses a self-adaptive regulation and control method and system for automatic production of a hot melt coating, and relates to the technical field of hot melt coating production. The method includes: acquiring production information of hot-melt coating produced by a production line to obtain standard information; and extracting the corresponding hot-melt coating performance and hot-melt coating ratio in the standard information to obtain reference information. The hot-melt coating matching information is selected and adjusted in the reference library through the set demand selection method according to the demands of the user to obtain the target matching, market demand changes and customer customized demands can be dealt with conveniently, the production flexibility of the hot-melt coating is improved conveniently, and in the production process of the hot-melt coating, the production efficiency of the hot-melt coating is improved. The real-time information of the production state is monitored, whether errors exist in the real-time information is judged to obtain a judgment result, whether feedback information is generated or not is determined according to the judgment result, the feedback information is matched with the target regulation and control information to adjust the production line in real time, the effect of eliminating the errors is achieved, and the product quality is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of hot-melt coating production, and specifically provides an adaptive regulation method and system for automated production of hot-melt coatings. Background Art

[0002] Hot-melt coatings are coatings that are applied to substrates after being heated and melted. Such coatings are usually applied by thermal spraying or dipping during the application process and are widely used in fields such as packaging, electronics, and automobiles. In automated production plants for hot-melt coatings, it is often necessary to regulate equipment and raw material ratios to ensure the smooth progress of the production process and high-quality products.

[0003] A smart production regulation method for a special aerogel thermal insulation intermediate coating with the patent publication number CN119270806A includes: obtaining ambient temperature signals and a number of infrared images of the coating surface during the production process at each initial temperature; obtaining a number of heating segments and a number of constant temperature segments of the ambient temperature signals; obtaining the temperature uniformity of each infrared image of the coating surface; obtaining a first synchronous control index for each heating segment of each ambient temperature signal based on the temperature uniformity and changes in the heating segments; obtaining a second synchronous control index for each constant temperature segment of each ambient temperature signal based on changes in the ambient temperature value within the constant temperature segments; obtaining a comprehensive synchronous control index for each ambient temperature signal; and regulating the initial temperature during coating production based on the comprehensive synchronous control index. The present invention improves the rationality of regulating the initial temperature during coating production.

[0004] The above-mentioned and similar regulation methods have the drawback of insufficient production flexibility. In an automated production workshop, if the function of automatically dispensing coating raw materials and regulating the production line according to user needs is not available, it will lead to the drawback of insufficient production flexibility, which is not convenient for adaptive adjustment according to the needs provided by users, and it is impossible to quickly adjust the production formula according to market demand changes and customer customization requirements, resulting in limited flexibility of the production line. The above methods only consider the influence of temperature on the coating, but other parameters are also crucial for the coating performance. Only controlling the temperature may lead to performance differences between different batches of coatings, affecting indicators such as the adhesion, durability, and gloss of the coating. At the same time, only focusing on temperature may lead to an increase in surface defects such as bubbles and scratches, affecting the appearance and performance of the final coating. Therefore, focusing on temperature regulation cannot well improve the quality of the coating. Thus, the present invention is proposed. Summary of the Invention

[0005] The purpose of the present invention is to provide an adaptive regulation method and system for automated production of hot-melt coatings to solve the problems raised in the above background art.

[0006] To achieve the above objectives, the present invention provides the following technical solutions: an adaptive control method for automated production of hot melt coatings:

[0007] Obtain the production information of the hot melt coating produced by the production line in the past to obtain standard information;

[0008] Extracting the corresponding hot melt coating properties and hot melt coating ratios from the standard information to obtain reference information, and establishing a reference library for storing the reference information;

[0009] The invention is characterized by comprising:

[0010] Based on the reference library and user needs, the target ratio and real-time updated reference library are obtained through demand selection method;

[0011] Preset the control direction to obtain standard control information, monitor user feedback, and obtain target control information based on the standard control information and user feedback;

[0012] Produce hot melt coatings based on target control information and target ratio;

[0013] Real-time monitoring of production status to obtain real-time information, judging whether there is an error in the real-time information to obtain a judgment result, and deciding whether to generate feedback information based on the judgment result;

[0014] Real-time control of the production line based on feedback information and target control information;

[0015] The process of determining whether there is an error in the real-time information and obtaining a determination result is as follows: performing stage division based on the production status to obtain several target stages, extracting the real-time information corresponding to the target stage to obtain sub-information, where the sub-information is image information of the production status, obtaining image information and image performance previously in the target stage to obtain control information, performing performance division based on the control information to obtain control levels, extracting control information corresponding to user needs from the control information based on user needs and the control levels to obtain selected information, and comparing the sub-information and the selected information to obtain a determination result. When the determination result feedback indicates that there is a difference between the sub-information and the selected information, feedback information is generated, and the feedback information is information indicating the difference between the sub-information and the selected information. When the determination result indicates that there is no difference between the sub-information and the selected information, no feedback information is generated.

[0016] Furthermore, the process of performing performance division based on control information to obtain control levels is as follows: splitting the control information to obtain control images and control performance, establishing the correlation between the control images and the control performance, sorting based on the excellent control performance to obtain the sorting results, extracting adjacent control performances in turn to obtain control performance levels, extracting control images based on the control performance in the control performance levels and the correlation to obtain control level images, integrating the control performance levels and the control level images to obtain sub-control levels, and integrating all sub-control levels to obtain the control levels.

[0017] Further, the process of extracting the control information corresponding to the user requirement from the control information according to the control level according to the user requirement to obtain the selection information is as follows: traversing the control performance in the control information based on the user requirement to obtain the result information. When the result information feedback indicates that there is a control performance corresponding to the user requirement in the control information, extracting the image information of the control performance corresponding to the user requirement to obtain the selection information. When the result information feedback indicates that there is no control performance corresponding to the user requirement in the control information, splitting the control level to obtain several sub-control levels, extracting the sub-control level containing the user requirement to obtain the target level, and extracting the control level image in the target level to obtain the selection information.

[0018] Further, the requirement selection method includes: analyzing the user requirement to obtain the target performance, obtaining the relationship between the performance change of the hot melt coating and the hot melt coating ratio through the trend acquisition method based on the reference information to obtain the trend information, traversing the reference library based on the target performance to obtain the traversal result. When the traversal result feedback indicates that there is a hot melt coating performance corresponding to the target performance in the reference information in the reference library, extracting the reference information corresponding to the target performance in the reference library based on the traversal result and extracting the hot melt coating ratio to obtain the target ratio. When the traversal result feedback indicates that there is no hot melt coating performance corresponding to the target performance in all the reference information in the reference library, extracting the hot melt coating performance closest to the target performance in the reference library to obtain the specific performance, extracting the performance change trend and ratio change of the specific performance based on the trend information to obtain the target trend, judging the difference between the specific performance and the target performance to obtain the difference result, generating an added value according to the difference result and the target trend, adding the added value to the hot melt coating ratio of the specific performance to obtain the target ratio, and monitoring the performance of the hot melt coating produced by the target ratio in real time through the enrichment method and adding it to the reference library in real time to obtain the reference library updated in real time.

[0019] Furthermore, the trend acquisition method includes: splitting the performance of the hot-melt coating into several performance items, extracting reference information with the same single performance item based on the reference library to obtain the first information, extracting reference information with the same multiple performance items based on the reference library to obtain the second information, sorting the hot-melt coating performance in the first information to obtain the first sorting result, obtaining the change trend of adjacent hot-melt coating performances in the first information based on the first sorting result to obtain the first sub-performance trend, obtaining the change trend of adjacent hot-melt coating ratios in the first information based on the first sorting result to obtain the first sub-ratio trend, establishing the correlation between the first sub-performance trend and the first sub-ratio trend, integrating all the first sub-performance trends and the first sub-ratio trends to obtain the first trend, sorting the hot-melt coating performance in the second information to obtain the second sorting result, obtaining the change trend of adjacent hot-melt coating performances in the second information based on the second sorting result to obtain the second sub-performance trend, obtaining the change trend of adjacent hot-melt coating ratios in the second information based on the sorting result to obtain the second sub-ratio trend, establishing the correlation between the second sub-performance trend and the second sub-ratio trend, integrating all the second sub-performance trends and the second sub-ratio trends to obtain the second trend, and integrating the first trend and the second trend to obtain the trend information.

[0020] Furthermore, the information enrichment method includes: monitoring the state of the hot-melt coating produced with the target ratio, obtaining the added performance based on the performance of the hot-melt coating produced with the target ratio, integrating the added performance and the target ratio to obtain the added information, and storing the added information in the reference library in real time to obtain a real-time updated reference library.

[0021] Furthermore, the process of obtaining the standard regulation information from the preset regulation direction is as follows: the regulation direction includes the cost direction and the efficiency direction. Extract the raw material ratio parameters similar to the target ratio in the standard information to obtain the parameters to be adjusted. Extract the sub-parameters affecting cost and efficiency in the parameters to be adjusted to obtain the cost parameters and the efficiency parameters. Optimize the cost parameters and the efficiency parameters to obtain the optimized cost parameters and the optimized efficiency parameters. Replace the sub-parameters affecting cost in the parameters to be adjusted with the optimized cost parameters to obtain the control parameters in the cost direction. Replace the sub-parameters affecting efficiency in the parameters to be adjusted with the optimized efficiency parameters to obtain the control parameters in the efficiency direction. Integrate the control parameters in the cost direction and the control parameters in the efficiency direction to obtain the standard regulation information.

[0022] Furthermore, the process of obtaining the target regulation information based on the standard regulation information and the user feedback is as follows: analyze the user feedback to obtain the analysis result. When the analysis result feedback indicates that the user pays attention to the production cost, extract the control parameters in the cost direction in the standard regulation information to obtain the target regulation information. When the analysis result feedback indicates that the user pays attention to the production efficiency, extract the control parameters in the efficiency direction in the standard regulation information to obtain the target regulation information.

[0023] Furthermore, the process of performing real-time regulation on the production line based on the feedback information in cooperation with the target regulation information is as follows: determining the specific equipment of the equipment in the target stage based on the feedback information, obtaining the target reason for the reason generating the feedback information in the specific equipment, presetting the adjustment parameters based on the target reason, and adding the adjustment parameters to the relevant parameters of the specific equipment in the target regulation information in real time to complete the real-time regulation of the production line.

[0024] An adaptive regulation system for hot-melt coating automatic production uses the above-mentioned adaptive regulation method for hot-melt coating automatic production.

[0025] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0026] The adaptive regulation method and system for hot-melt coating automatic production, through the set demand selection method, select and adjust the hot-melt coating ratio information in the reference library according to the user's demand to obtain the target ratio. It automatically generates the raw material ratio corresponding to the user's demand according to the user's demand, which is beneficial to coping with the changes in market demand and customer customization requirements, so as to improve the flexibility of hot-melt coating production. And during the process of producing hot-melt coating, monitor the real-time information of the production status, judge whether there is an error in the real-time information to obtain the judgment result, and decide whether to generate feedback information according to the judgment result. Real-time adjustment of the production line is carried out through the feedback information in cooperation with the target regulation information to achieve the effect of eliminating errors and ensure product quality.

[0027] At the same time, the process of extracting the raw material ratio parameters similar to the target ratio in the standard information to obtain the parameters to be adjusted, that is, matching the ratio similar to the target ratio in the standard information, and extracting the ratio similar to the target ratio in the standard information, and extracting the parameter adjustment information of this ratio to obtain the parameters to be adjusted. The process of optimizing the cost parameters and efficiency parameters to obtain the optimized cost parameters and optimized efficiency parameters is to perform a conservative adjustment on the cost parameters. Specifically, according to the actual use situation, reduce the power of the production line equipment, and perform an efficiency adjustment on the efficiency parameters. Specifically, according to the actual use situation, increase the power of the production line equipment. The specific adjustment size is determined according to the actual use situation. By obtaining the performance of the hot-melt coating generated under the target ratio state in real time to obtain the added performance, and integrating the added performance and the target ratio and storing them in the reference library, the richness of the data information in the reference library can be improved, so as to improve the accuracy of the demand selection method for generating the target ratio.

[0028] Meanwhile, the standard control information includes two types: cost direction and efficiency direction, which is conducive to selection according to user needs. The generation method of the adjustment parameter is the same as the added value, and random numbers can be generated for a specific numerical generator. When the selected standard control information is in the cost direction, the numerical generation range of the numerical generator is smaller, so as to complete the optimization difference after adjusting and optimizing the standard control information multiple times, in order to achieve the effect of facilitating the reduction of production costs. When the selected standard control information is in the efficiency direction, the numerical generation range of the numerical generator is larger, so as to completely optimize the difference after adjusting and optimizing the standard control information once, in order to achieve the effect of improving production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 It is a schematic structural diagram of the overall process for generating the target ratio of the present invention;

[0030] Figure 2 It is a schematic structural diagram of the real-time control production line of the present invention;

[0031] Figure 3 It is a schematic structural diagram of the process for judging whether there is an error in real-time information to obtain a judgment result of the present invention;

[0032] Figure 4 It is a schematic structural diagram of obtaining real-time information in the first embodiment of the present invention;

[0033] Figure 5 It is a schematic structural diagram of sub-information and selected information of the present invention;

[0034] Figure 6 It is a schematic structural diagram of model establishment in the second embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0035] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0036] Hot-melt coatings are usually composed of various raw materials, including pigments, resins, solvents, additives, etc. The proportion of these components will directly affect the performance of the coatings. The automated production of hot-melt coatings is a manufacturing method that improves production efficiency, ensures product quality, and reduces human intervention through automated technology. In order to improve the production efficiency and quality of hot-melt coatings, it is often necessary to adaptively control the production process of hot-melt coatings.

[0037] As Figures 1-6 shown, the present invention provides a technical solution: an adaptive control method for the automated production of hot-melt coatings:

[0038] Obtain the production information of the production line's past production of hot-melt coatings to obtain standard information;

[0039] It should be noted that the production information of the production line's past production of hot-melt coatings is the information data of the production line that has been put into use for past production of hot-melt coatings, including raw material ratio information, finished hot-melt coating performance information, equipment adjustment information during the production process, etc.

[0040] Extract the corresponding hot-melt coating performance and hot-melt coating ratio in the standard information to obtain reference information, and establish a reference library for storing the reference information;

[0041] It should be noted that the reference information is the hot-melt coating performance information and hot-melt coating ratio information in the standard information. The reference information is individual hot-melt coating performance information and the hot-melt coating ratio information corresponding to the hot-melt coating performance information. The reference library is used to store all reference information.

[0042] It is characterized by including:

[0043] Based on the reference library and in line with user needs, obtain the target ratio and a real-time updated reference library through the demand selection method;

[0044] It should be noted that user needs are directly obtained by the user. Through the set demand selection method, select and adjust the hot-melt coating ratio information in the reference library according to the user's needs to obtain the target ratio. It automatically generates the raw material ratio corresponding to the user's needs, which is conducive to coping with market demand changes and customer customization needs, so as to improve the flexibility of hot-melt coating production.

[0045] Preset the regulation direction to obtain standard regulation information, monitor user feedback, and obtain target regulation information based on the standard regulation information in combination with user feedback;

[0046] It should be noted that the standard regulation information is the adjustment parameter information of the equipment in the production line. In this process of monitoring user feedback, set a user feedback interface, receive the user's feedback, and select the standard regulation information according to the user's feedback to obtain the target regulation information, so as to improve the flexibility of hot-melt coating production.

[0047] Produce hot-melt coatings based on the target regulation information in combination with the target ratio;

[0048] It should be noted that in the automated production line, hot-melt coatings are produced through the target regulation information and the target ratio.

[0049] Real-time monitor the production status to obtain real-time information, judge whether there is an error in the real-time information to obtain a judgment result, and decide whether to generate feedback information based on the judgment result;

[0050] It should be noted that the process of obtaining real-time information by monitoring the production status in real time is to monitor the production status of hot-melt coatings in each production stage. A judgment result is obtained by judging whether there is an error in the real-time information. Whether to generate feedback information is determined according to the judgment result. When the judgment result feedback indicates that there is an error, feedback information is generated. When the judgment result feedback indicates that there is no error, no feedback information is generated.

[0051] Based on the feedback information and in cooperation with the target regulation information, the production line is regulated in real time;

[0052] It should be noted that when an error is obtained, the production line is adjusted in real time by the feedback information in cooperation with the target regulation information to achieve the effect of eliminating the error, so as to ensure that the manufacturing process has a lower cost or higher efficiency while ensuring that the product meets the requirements.

[0053] Example 1:

[0054] In a factory with automated production of hot-melt coatings, the production status of hot-melt coatings is usually divided into a raw material preparation stage, a mixing and pretreatment stage, and a hot-melting and cooling stage. Cameras for monitoring the production process are installed at each stage on the production line in the factory. First, the past working logs of hot-melt coating production are obtained, a reference library for storing information is established, and the raw material ratio information and finished product performance information in the working logs are extracted and stored in the reference library. An information receiving interface is established for receiving user requirements and user feedback. When producing hot-melt coatings on the production line according to the target regulation information and in cooperation with the target ratio, as Figure 4 shown, the image information of the hot-melt coatings in different production stages is obtained through the cameras installed on the production line to obtain real-time information. During the process of obtaining real-time information, the acquisition frequency of real-time information can be set. Specifically, the acquisition frequency can be set to be after the raw materials are processed in the production stage. At the same time, when in a production line factory without cameras, real-time information can be obtained by manually observing the characteristics of the hot-melt coatings in different production stages. Specifically, the image information obtained by installing cameras is used as real-time information, which has a higher accuracy in the subsequent process of matching and judging errors.

[0055] As Figure 3As shown in the figure, the process of determining whether there is an error in real-time information to obtain a judgment result is as follows: Based on the production status, stage division is carried out to obtain several target stages, the real-time information corresponding to the target stages is extracted to obtain sub-information, the sub-information is the image information of the production status, the image information and image performance in the past when in the target stages are obtained to obtain comparison information, performance division is carried out based on the comparison information to obtain comparison levels, corresponding to the user requirements, the comparison information corresponding to the user requirements is extracted from the comparison information to obtain selected information, the sub-information and the selected information are compared to obtain a judgment result. When the judgment result feedback is that there is a difference between the sub-information and the selected information, feedback information is generated, and the feedback information is the information that there is a difference between the sub-information and the selected information. When the judgment result is that there is no difference between the sub-information and the selected information, no feedback information is generated.

[0056] It should be noted that the production status of hot-melt coatings is usually divided into a raw material preparation stage, a mixing and pretreatment stage, and a hot-melting and cooling stage. The above stages are all target stages. There are multiple image information in the real-time information, and the multiple image information corresponds to multiple target stages. The sub-information is a single image information corresponding to the target stage. The image information in the past when in the target stages and the image performance corresponding to the image information are obtained from the production line's past work logs to obtain comparison information. Performance level division is carried out on the comparison information to obtain comparison levels. The comparison information corresponding to the user requirements is selected from the comparison levels to obtain selected information. The selected information and the sub-information are compared by image to determine whether there is a difference between the two to obtain a judgment result. The feedback information is the information that there is a difference between the sub-information and the selected information. For example, the feedback information is generated in the mixing stage of the target stage. At this time, the feedback information is that the mixing is insufficient. The feedback information is generated in the hot-melting stage. At this time, the feedback information is that the hot-melting is insufficient. The feedback information is generated in the cooling stage. At this time, the feedback information is that the cooling is insufficient. The specific image comparison process can be Figure 5 As shown in the figure, the sub-information and the selected information represent the mixture state in the hot-melt coating.

[0057] Embodiment 2:

[0058] In the past production logs of the production line, extract the image information and performance information of the hot-melt coating production at each stage in the past production logs. Classify the performance information to obtain the control grade. Select the image information corresponding to the performance required by the user from the control grade, and select the image consistent with the target stage from the image information to obtain the selected information. Determine whether there is a difference between the sub-information and the selected information by means of image comparison. The actual process of image comparison can first establish an image comparison model, then import the sub-information and the selected information into the image comparison model and export the result information. The result information is whether there is a difference between the sub-information and the selected information. When there is a difference, the difference points will be extracted to generate feedback information. The specific process of establishing the image comparison model can be as follows: Select one or two pieces of image information as the control information, then select one piece of image information as the comparison information, and attach a difference description. For example, the mixing degree in the control information is due to the mixing degree in the comparison information. Use the control information, the comparison information, and the difference description as the training data, import the training data into the deep learning model for the deep learning model to learn to obtain the initial model, then preset the test data and the result information, import the test data into the initial model to obtain the test result, compare the result information and the test result to obtain the comparison result, and adjust and optimize the initial model according to the comparison result to obtain the image comparison model. The specific training process is as Figure 6 shown.

[0059] As Figure 3 shown, the process of obtaining the control grade based on the control information through performance classification is as follows: Split the control information to obtain the control image and the control performance, establish the relevance between the control image and the control performance, sort based on the excellence of the control performance to obtain the sorting result, extract adjacent control performances in sequence to obtain the control performance grade, extract the control image based on the control performance in the control performance grade in combination with the relevance to obtain the control grade image, integrate the control performance grade and the control grade image to obtain the sub-control grade, and integrate all sub-control grades to obtain the control grade.

[0060] It should be noted that by establishing the relevance between the control image and the control performance, it is convenient to extract the corresponding control performance or control image according to the control image or the control performance, so as to facilitate subsequent retrieval. Sort several control performances to obtain the sorting result. Specifically, when there are several control performances, for example, performance information 1: heat resistance: 150°C, adhesion: better than 50 MPa; performance information 2:

[0061] Temperature resistance performance: 120°C, Adhesion: better than 30 MPa; Performance Information 3: Temperature resistance performance: 100°C, Adhesion: better than 20 MPa; Performance Information 4: Temperature resistance performance: 90°C, Adhesion: better than 10 MPa; The excellent sorting result at this time is: Performance Information 1, Performance Information 2, Performance Information 3, Performance Information 4. At this time, extract the corresponding comparison images according to the relevance, and integrate the performance information and the comparison images to obtain the sub-comparison level.

[0062] As Figure 3 shown, the process of extracting the selection information corresponding to the user's needs from the comparison information based on the comparison level is as follows: Traverse the comparison performance in the comparison information based on the user's needs to obtain the result information. When the result information feedback indicates that there is a comparison performance corresponding to the user's needs in the comparison information, extract the image information of the comparison performance corresponding to the user's needs to obtain the selection information. When the result information feedback indicates that there is no comparison performance corresponding to the user's needs in the comparison information, split the comparison level to obtain several sub-comparison levels, extract the sub-comparison level containing the user's needs to obtain the target level, and extract the comparison level image in the target level to obtain the selection information.

[0063] It should be noted that the higher the richness of the information data in the comparison information, the higher the probability of matching to obtain the corresponding comparison performance. During the process of obtaining the selection information, when there is no comparison performance corresponding to the user's needs in the comparison information, then select the image information between the adjacent comparison performances of the user's needs to obtain the selection information. During the subsequent image matching process, it is judged whether the sub-information is between the two image information in the selection information, so as to judge whether there are differences in the sub-information in the case of less information richness, so as to adjust the equipment on the production line accordingly according to the differences in the follow-up.

[0064] The requirement selection method includes: analyzing user requirements to obtain target performance, obtaining the relationship between the performance change of hot-melt coating and the hot-melt coating ratio through a trend acquisition method based on reference information to obtain trend information, traversing the reference library based on the target performance to obtain a traversal result. When the traversal result indicates that there is a hot-melt coating performance corresponding to the target performance in the reference information in the reference library, extracting the reference information corresponding to the target performance in the reference library based on the traversal result and extracting the hot-melt coating ratio to obtain the target ratio. When the traversal result indicates that none of the reference information in the reference library has a hot-melt coating performance corresponding to the target performance, extracting the hot-melt coating performance closest to the target performance in the reference library to obtain the specific performance, extracting the performance change trend and ratio change of the specific performance based on the trend information to obtain the target trend, judging the difference between the specific performance and the target performance to obtain a difference result, generating an added value based on the difference result in cooperation with the target trend, adding the added value to the hot-melt coating ratio of the specific performance to obtain the target ratio, and based on the target ratio, monitoring the performance of the hot-melt coating produced by the target ratio in real time through an enrichment method and adding it to the reference library in real time to obtain a real-time updated reference library.

[0065] It should be noted that the target performance is directly obtained from user requirements, and the relationship between the performance change of hot-melt coating and the hot-melt coating ratio is obtained through the set trend acquisition method to obtain trend information, so as to adjust the ratio information closest to the target performance according to the trend information when the corresponding performance cannot be matched, so as to obtain the target ratio that meets the target performance. In the process of generating the added value based on the difference result in cooperation with the target trend, the specific generation method of the added value can be a specific numerical generator to generate a random number.

[0066] The trend acquisition method includes: splitting the hot-melt coating performance into several performance items, extracting the reference information with the same single performance item based on the reference library to obtain the first information, extracting the reference information with the same multiple performance items based on the reference library to obtain the second information, sorting the hot-melt coating performance in the first information to obtain the first sorting result, obtaining the change trend of adjacent hot-melt coating performances in the first information based on the first sorting result to obtain the first sub-performance trend, obtaining the change trend of adjacent hot-melt coating ratios in the first information based on the first sorting result to obtain the first sub-ratio trend, establishing the association relationship between the first sub-performance trend and the first sub-ratio trend, integrating all the first sub-performance trends and the first sub-ratio trends to obtain the first trend, sorting the hot-melt coating performance in the second information to obtain the second sorting result, obtaining the change trend of adjacent hot-melt coating performances in the second information based on the second sorting result to obtain the second sub-performance trend, obtaining the change trend of adjacent hot-melt coating ratios in the second information based on the sorting result to obtain the second sub-ratio trend, establishing the association relationship between the second sub-performance trend and the second sub-ratio trend, integrating all the second sub-performance trends and the second sub-ratio trends to obtain the second trend, and integrating the first trend and the second trend to obtain the trend information.

[0067] It should be noted that the performance of hot-melt coatings includes multiple performance indicators, such as heat resistance, chemical resistance, abrasion resistance, and adhesion. By extracting the same reference information for a single or multiple performance items, sorting the performance trends in the reference information, and obtaining the change trend through the change of the performance trend and the ratio information, so as to adjust the addition value of the ratio of the hot-melt coating with specific performance according to the size of the change in the corresponding performance interval in the change trend to obtain the target ratio that meets the user's requirements. In the process of specifically selecting the trend, it is preferred to select the trend with the same single or multiple performance items to obtain the target trend.

[0068] The information enrichment method includes: monitoring the state of the hot-melt coating produced according to the target ratio, obtaining the added performance based on the performance of the hot-melt coating produced according to the target ratio, integrating the added performance and the target ratio to obtain the added information, and storing the added information in the reference library in real time to obtain a reference library updated in real time.

[0069] It should be noted that by obtaining the added performance based on the performance of the hot-melt coating generated under the target ratio state in real time and storing the integrated added performance and the target ratio in the reference library, the richness of the data information in the reference library can be improved, so as to improve the accuracy of generating the target ratio by the demand selection method.

[0070] As Figure 2 shown, the process of obtaining the standard regulation information from the preset regulation direction is as follows: the regulation direction includes the cost direction and the efficiency direction. Extract the raw material ratio parameters similar to the target ratio in the standard information to obtain the parameters to be adjusted. Extract the sub-parameters affecting the cost and efficiency in the parameters to be adjusted to obtain the cost parameters and the efficiency parameters. Optimize the cost parameters and the efficiency parameters to obtain the optimized cost parameters and the optimized efficiency parameters. Replace the sub-parameters affecting the cost in the parameters to be adjusted with the optimized cost parameters to obtain the control parameters in the cost direction. Replace the sub-parameters affecting the efficiency in the parameters to be adjusted with the optimized efficiency parameters to obtain the control parameters in the efficiency direction. Integrate the control parameters in the cost direction and the control parameters in the efficiency direction to obtain the standard regulation information.

[0071] It should be noted that the specific regulation direction can be determined according to the actual usage situation and customized addition. The preset regulation directions can be the cost direction and the efficiency direction. The process of obtaining the parameter to be adjusted by extracting the raw material ratio parameter similar to the target ratio in the standard information, that is, matching the ratio similar to the target ratio in the standard information, searching for the ratio similar to the target ratio in the standard information, and extracting the parameter adjustment information of this ratio to obtain the parameter to be adjusted. The process of optimizing the cost parameter and the efficiency parameter to obtain the optimized cost parameter and the optimized efficiency parameter is to conservatively adjust the cost parameter, specifically reducing the power of the production line equipment according to the actual usage situation, and to efficiently adjust the efficiency parameter, specifically increasing the power of the production line equipment according to the actual usage situation. The specific adjustment magnitude is determined according to the actual usage situation.

[0072] As Figure 1 shown, the process of obtaining the target regulation information based on the standard regulation information and the user feedback is as follows: Analyze the user feedback to obtain the analysis result. When the analysis result indicates that the user pays attention to the production cost, extract the control parameters in the cost direction of the standard regulation information to obtain the target regulation information. When the analysis result indicates that the user pays attention to the production efficiency, extract the control parameters in the efficiency direction of the standard regulation information to obtain the target regulation information.

[0073] It should be noted that the process of obtaining the target regulation information based on the standard regulation information and the user feedback is a process of information matching. Analyze the user feedback to obtain the analysis result, and select the corresponding control parameters in the standard regulation information according to the analysis result to obtain the target regulation information.

[0074] As Figure 1 shown, the process of performing real-time regulation on the production line based on the feedback information and the target regulation information is as follows: Determine the equipment in the target stage based on the feedback information to obtain the specific equipment, obtain the reason for generating the feedback information in the specific equipment to obtain the target reason, preset the adjustment parameter based on the target reason, and add the adjustment parameter to the relevant parameters of the specific equipment in real time in the target regulation information to complete the real-time regulation of the production line.

[0075] It should be noted that the process of obtaining a specific device from the device in the target stage according to the feedback information, for example, when the feedback information is insufficient mixing, then lock the device for mixing operation, and obtain the target reason for the reason that generates the feedback information in the specific device. This process can be directly obtained from the feedback information, or sent to the user to obtain, or obtained by training the corresponding recognition model. Adjustment parameters are preset according to the target reason. The generation method of the adjustment parameters is consistent with the added value, and can be a random number generated by a specific numerical generator. When the selected standard control information is cost-oriented, the numerical generation range of the numerical generator is relatively small, so as to complete the optimization difference after adjusting and optimizing the standard control information multiple times, so as to achieve the effect of facilitating the reduction of production costs. When the selected standard control information is efficiency-oriented, the numerical generation range of the numerical generator is relatively large, so that the optimization difference will be completely optimized after adjusting and optimizing the standard control information once, so as to achieve the effect of improving production efficiency.

[0076] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principle and spirit of the present invention. The scope of the present invention is defined by the appended embodiments and their equivalents.

Claims

1. An adaptive regulation method for the automated production of hot-melt coatings: Obtain the production information of the hot-melt coatings produced by the production line in the past to obtain the standard information; Extract the corresponding hot-melt coating properties and hot-melt coating ratios in the standard information to obtain the reference information, and establish a reference library for storing the reference information; It is characterized in that Including: Based on the reference library and in cooperation with the user's needs, obtain the target ratio and the real-time updated reference library through the demand selection method; Preset the regulation direction to obtain the standard regulation information, monitor the user's feedback, and obtain the target regulation information based on the standard regulation information in cooperation with the user's feedback; Produce hot-melt coatings based on the target regulation information and in cooperation with the target ratio; Monitor the production status in real time to obtain the real-time information, judge whether there is an error in the real-time information to obtain the judgment result, and decide whether to generate feedback information based on the judgment result; Carry out real-time regulation of the production line based on the feedback information and in cooperation with the target regulation information; The process of judging whether there is an error in the real-time information to obtain the judgment result is as follows: divide the production status into several target stages based on the production status, extract the real-time information corresponding to the target stage to obtain the sub-information, the sub-information is the image information of the production status, obtain the reference information of the image information and image performance in the past when in the target stage, perform performance division based on the reference information to obtain the reference level, extract the reference information corresponding to the user's needs in the reference information based on the user's needs and in cooperation with the reference level to obtain the selection information, compare the sub-information and the selection information to obtain the judgment result. When the judgment result feedbacks that there is a difference between the sub-information and the selection information, generate the feedback information, and the feedback information is the information that there is a difference between the sub-information and the selection information. When the judgment result is that there is no difference between the sub-information and the selection information, no feedback information is generated.

2. The adaptive control method for the automatic production of hot-melt coatings according to claim 1, wherein: The process of performing performance division based on the reference information to obtain the reference level is as follows: split the reference information to obtain the reference image and the reference performance, establish the correlation between the reference image and the reference performance, sort based on the excellent reference performance to obtain the sorting result, extract the adjacent reference performance in turn to obtain the reference performance level, extract the reference image corresponding to the reference performance in the reference performance level based on the correlation to obtain the reference level image, integrate the reference performance level and the reference level image to obtain the sub-reference level, and integrate all the sub-reference levels to obtain the reference level.

3. An adaptive regulation method for the automated production of hot-melt coatings according to claim 1, characterized in that: The process of extracting the reference information corresponding to the user's needs in the reference information based on the user's needs and in cooperation with the reference level to obtain the selection information is as follows: traverse the reference performance in the reference information based on the user's needs to obtain the result information. When the result information feedbacks that there is a reference performance corresponding to the user's needs in the reference information, extract the image information of the reference performance corresponding to the user's needs to obtain the selection information. When the result information feedbacks that there is no reference performance corresponding to the user's needs in the reference information, split the reference level to obtain several sub-reference levels, extract the sub-reference level containing the user's needs to obtain the target level, and extract the reference level image in the target level to obtain the selection information.

4. An adaptive regulation method for the automated production of hot melt coatings according to claim 1, characterized in that: The described requirement selection method includes: analyzing user requirements to obtain target performance, obtaining the relationship between the performance change of hot-melt coating and the proportion of hot-melt coating through a trend acquisition method based on reference information to obtain trend information, traversing the reference library based on the target performance to obtain a traversal result. When the traversal result indicates that there is a hot-melt coating performance corresponding to the target performance in the reference information of the reference library, extracting the reference information corresponding to the target performance from the reference library based on the traversal result and extracting the hot-melt coating proportion to obtain the target proportion. When the traversal result indicates that there is no hot-melt coating performance corresponding to the target performance in all the reference information of the reference library, extracting the hot-melt coating performance closest to the target performance in the reference library to obtain the specific performance, extracting the performance change trend and proportion change of the specific performance based on the trend information to obtain the target trend, judging the difference between the specific performance and the target performance to obtain a difference result, generating an added value based on the difference result and the target trend, adding the added value to the hot-melt coating proportion of the specific performance to obtain the target proportion, and based on the target proportion, monitoring the performance of the hot-melt coating produced by the target proportion in real time through an enrichment method and adding it to the reference library in real time to obtain a reference library updated in real time.

5. An adaptive regulation method for automated production of hot-melt coatings according to claim 4, characterized in that: The described trend acquisition method includes: splitting the hot-melt coating performance into several performance items, extracting reference information with the same single performance item based on the reference library to obtain the first information, extracting reference information with the same multiple performance items based on the reference library to obtain the second information, sorting the hot-melt coating performance in the first information to obtain the first sorting result, obtaining the change trend of adjacent hot-melt coating performances in the first information based on the first sorting result to obtain the first sub-performance trend, obtaining the change trend of adjacent hot-melt coating proportions in the first information based on the first sorting result to obtain the first sub-proportion trend, establishing an association relationship between the first sub-performance trend and the first sub-proportion trend, integrating all the first sub-performance trends and the first sub-proportion trends to obtain the first trend, sorting the hot-melt coating performance in the second information to obtain the second sorting result, obtaining the change trend of adjacent hot-melt coating performances in the second information based on the second sorting result to obtain the second sub-performance trend, obtaining the change trend of adjacent hot-melt coating proportions in the second information based on the sorting result to obtain the second sub-proportion trend, establishing an association relationship between the second sub-performance trend and the second sub-proportion trend, integrating all the second sub-performance trends and the second sub-proportion trends to obtain the second trend, and integrating the first trend and the second trend to obtain the trend information.

6. The adaptive regulation method for automated production of hot melt coatings according to claim 4, characterized in that: The described information enrichment method includes: listening to the state of the hot-melt coating produced by the target proportion, obtaining the performance of the hot-melt coating produced based on the target proportion to obtain the added performance, integrating the added performance and the target proportion to obtain the added information, and storing the added information in the reference library in real time to obtain a reference library updated in real time.

7. An adaptive regulation method for automated production of hot-melt coatings according to claim 1, characterized in that: The process of obtaining the standard regulation information from the preset regulation direction is as follows: The regulation direction includes the cost direction and the efficiency direction. Extract the raw material ratio parameters similar to the target ratio in the standard information to obtain the parameter to be adjusted. Extract the sub-parameters affecting the cost and efficiency in the parameter to be adjusted to obtain the cost parameter and the efficiency parameter. Optimize the cost parameter and the efficiency parameter to obtain the optimized cost parameter and the optimized efficiency parameter. Replace the sub-parameters affecting the cost in the parameter to be adjusted with the optimized cost parameter to obtain the control parameter in the cost direction. Replace the sub-parameters affecting the efficiency in the parameter to be adjusted with the optimized efficiency parameter to obtain the control parameter in the efficiency direction. Integrate the control parameter in the cost direction and the control parameter in the efficiency direction to obtain the standard regulation information.

8. An adaptive regulation method for automated production of hot-melt coatings according to claim 1, characterized in that: The process of obtaining the target regulation information based on the standard regulation information and the user feedback is as follows: Analyze the user feedback to obtain the analysis result. When the analysis result indicates that the user pays attention to the production cost, extract the control parameter in the cost direction in the standard regulation information to obtain the target regulation information. When the analysis result indicates that the user pays attention to the production efficiency, extract the control parameter in the efficiency direction in the standard regulation information to obtain the target regulation information.

9. An adaptive regulation method for the automated production of hot-melt coatings according to claim 1, characterized in that: The process of performing real-time regulation on the production line based on the feedback information and the target regulation information is as follows: Determine the equipment in the target stage based on the feedback information to obtain the specific equipment. Obtain the reason for generating the feedback information in the specific equipment to obtain the target reason. Preset the adjustment parameter based on the target reason. Add the adjustment parameter to the relevant parameters of the specific equipment in real time in the target regulation information to complete the real-time regulation of the production line.

10. An adaptive control system for the automated production of hot melt coatings, characterized in that: An adaptive regulation method for automated production of hot-melt coatings according to any one of claims 1-9 is used.

Images