Control method and system for waterproof material production

Abstract

The invention relates to the technical field of production control, and discloses a control method and system for waterproof material production, and the method comprises the steps: determining a mapping strategy, a traversal strategy or a model strategy based on the relation between all temperature change values and a standard temperature change value, when the mapping strategy is determined, determining a stirring rotating speed according to a temperature change value, and when the traversal strategy is determined, determining the stirring rotating speed; when the strategy is determined to be a traversal strategy, traversing the temperature influence chain in a historical influence set to determine the stirring speed, and when the strategy is determined to be a model strategy, performing fusion based on a sorting result to determine a temperature change influence value, determining the stirring speed based on the temperature change influence value, and determining a stirring load torque curve graph based on a collection time period; according to the relation between the minimum load torque and the load torque, the stirring rotating speed is determined to be adjusted or not adjusted, the stirring rotating speed is adjusted based on the stirring rotating speed adjusting factor, and production is completed according to the adjusted stirring rotating speed. According to the invention, the stability and reliability of waterproof material production are ensured.

Description

Technical Field

[0001] This invention relates to the field of production control technology, and more specifically, to a control method and system for the production of waterproof materials. Background Technology

[0002] Waterproofing materials are indispensable in construction, transportation, and water conservancy, and their quality directly affects the durability and safety of engineering structures. In the production process of waterproofing materials, the molten raw materials are stirred. This stirring process is a crucial step in determining the performance of waterproofing materials. The uniformity and speed of stirring affect the mixing effect of the internal components, the stability of the molecular chain structure, and the final product's waterproofing performance, tensile strength, and aging resistance. Currently, the industry typically relies on worker experience to control the stirring of molten raw materials. On the one hand, the molten material fluctuates in real time due to factors such as production progress and batch differences in raw materials, making it difficult for manually set parameters to adapt to dynamically changing conditions. On the other hand, individual differences in human experience lead to insufficient reliability in the production of different batches of waterproofing materials.

[0003] Therefore, it is necessary to design a control method and system for the production of waterproof materials to solve the problems existing in the current technology. Summary of the Invention

[0004] In view of this, the present invention proposes a control method and system for the production of waterproof materials, which aims to solve the problem that manually set parameters are difficult to adapt to dynamically changing working conditions, and that the production reliability of different batches of waterproof materials is insufficient due to individual differences in human experience.

[0005] In one aspect, the present invention provides a control method for the production of waterproof materials, comprising: Several melting temperature data points are acquired based on the acquisition period, and each melting temperature data point is preprocessed to determine the target melting temperature. The temperature change value is determined based on the acquisition period and the target melting temperature. The mapping strategy, traversal strategy or model strategy is determined based on the relationship between all temperature change values ​​and the standard temperature change value. When the mapping strategy is determined, the stirring speed is determined based on a temperature change value. When the traversal strategy is determined, all temperature change values ​​are analyzed to determine the temperature influence chain. The temperature influence chain is traversed in the historical influence set to determine the stirring speed. When the model strategy is determined, all temperature change values ​​are sorted. The temperature change influence value is determined by fusion based on the sorting results. The stirring speed is determined based on the temperature change influence value. Based on the data collection period, a stirring load torque curve is determined. Based on the stirring load torque curve, a minimum load torque is determined. The load torque of the stirring speed is determined. Based on the relationship between the minimum load torque and the load torque, it is determined whether to adjust the stirring speed or not. When it is determined to adjust the stirring speed, a stirring speed adjustment factor is determined based on the relationship between the minimum load torque and the load torque, and the stirring speed is adjusted based on the stirring speed adjustment factor. Production is then completed according to the adjusted stirring speed.

[0006] Furthermore, when acquiring several melting temperature data points based on the acquisition period, preprocessing each melting temperature data point to determine the target melting temperature, and determining the temperature change value based on the acquisition period and the target melting temperature, the process includes: Based on wavelet adaptive denoising, multi-scale decomposition and denoising are performed on each melting temperature data, and bilateral filtering is used to locally smooth the residual noise of each melting temperature data. The result of the local smoothing is divided into three intervals and linearly normalized respectively. The target melting temperature is determined by iteratively reconstructing the result of the linear normalization based on PCA. Obtain the temperature difference between the target melting temperature at the current moment and the target melting temperature at the previous moment, and determine the temperature difference as the temperature change value.

[0007] Furthermore, when determining the mapping strategy, traversal strategy, or model strategy based on the relationship between all temperature change values ​​and standard temperature change values, this includes: When all temperature change values ​​are equal to the standard temperature change value, the mapping strategy is determined. When all temperature change values ​​are greater than or less than the standard temperature change value, the traversal strategy is determined. When there are one or more temperature change values ​​that are greater than the standard temperature change value, and one or more temperature change values ​​that are less than or equal to the standard temperature change value, then it is determined to be the model strategy.

[0008] Furthermore, when the mapping strategy is determined, the stirring speed is determined based on a temperature change value, including: Select any temperature change value and determine the corresponding stirring speed in the lookup table, wherein the lookup table includes the mapping relationship between the temperature change value and the corresponding stirring speed; The corresponding stirring speed is determined from the lookup table as the rated speed.

[0009] Furthermore, when the traversal strategy is determined, analyzing all temperature change values ​​to determine the temperature influence chain, and traversing the temperature influence chain in the historical influence set to determine the stirring speed, includes: Extract the maximum temperature change value, minimum temperature change value, and average temperature change value from all temperature change values, and arrange the maximum temperature change value, minimum temperature change value, and average temperature change value in descending order, and construct the temperature influence chain based on the arrangement result; The historical influence set includes several historical temperature influence chains and historical stirring speeds, and each historical temperature influence chain corresponds to a historical stirring speed. The temperature influence chain is traversed in the historical influence set. When there is a historical temperature influence chain in the historical influence set that is the same as the temperature influence chain, the historical stirring speed corresponding to the historical temperature influence chain is determined as the stirring speed. When there is no historical temperature influence chain in the historical influence set that is the same as the temperature influence chain, all historical temperature influence chains in the historical influence set are unchained, and the average historical temperature change is combined with its corresponding historical stirring speed to determine the temperature average set. The stirring speed is then determined based on the temperature average set.

[0010] Furthermore, when determining the stirring speed based on the average temperature set, the following steps are included: The temperature influence chain is unchained to determine the mean temperature change, and the mean temperature change is compared with the historical mean temperature change in each set of mean temperature changes to determine the similarity. Determine the set of temperature averages where the historical temperature change average with the maximum similarity is located. If the set of temperature averages where the historical temperature change average with the maximum similarity is located is unique, then the historical stirring speed in that set of temperature averages is determined as the stirring speed. When the set of temperature mean values ​​containing the historical temperature change mean with the maximum similarity is not unique, the average historical stirring speed in each set of temperature mean values ​​is determined as the stirring speed.

[0011] Furthermore, when the model strategy is determined, all temperature change values ​​are sorted, and the influence value of temperature change is determined by fusion based on the sorting results. When determining the stirring speed based on the influence value of temperature change, the following steps are included: Sort all temperature change values ​​in descending order and determine the median and the mean temperature change. Extract temperature change values ​​greater than the median to construct a first set of temperature change values, and extract temperature change values ​​greater than the mean temperature change to construct a second set of temperature change values. Determine whether there is an intersection between the first set of temperature change values ​​and the second set of temperature change values; If so, the mean of the intersection values ​​is determined as the temperature change influence value; If not, the first set of temperature change values ​​and the second set of temperature change values ​​are merged. The merging process involves retaining the non-repeating temperature change values ​​in the first set of temperature change values ​​and the second set of temperature change values, deleting the remaining repeated temperature change values, merging the deleted first set of temperature change values ​​and the second set of temperature change values ​​to obtain a merged set, and determining the mean of the merged set as the temperature change influence value. The influence value of the temperature change is substituted into a pre-trained decision tree model to determine the stirring speed.

[0012] Furthermore, when determining the minimum load torque based on the stirring load torque curve, determining the load torque of the stirring speed, and determining whether to adjust the stirring speed or not based on the relationship between the minimum load torque and the load torque, the process includes: Based on the acquisition period, several stirring load torques are determined. The X-axis coordinate value of each stirring load torque is determined based on the acquisition period, and the value of each stirring load torque is used as the Y-axis coordinate value of each stirring load torque. Based on the X-axis coordinate value and the Y-axis coordinate value, all stirring load torques are converted into coordinate points. All coordinate points are fitted to determine the coordinate point fitting curve, and unfitted coordinate points are deleted. Based on the deletion results, the load torque curve is constructed, and the coordinate point with the smallest Y-axis coordinate value in the load torque curve is determined as the minimum load torque. When the minimum load torque is less than or equal to the load torque, it is determined that the stirring speed will not be adjusted, and production will be completed at the stirring speed. When the minimum load torque is greater than the load torque, the stirring speed is adjusted.

[0013] Furthermore, when determining to adjust the stirring speed, a stirring speed adjustment factor is determined based on the relationship between the minimum load torque and the load torque, and the stirring speed is adjusted based on the stirring speed adjustment factor, including: Obtain the difference between the minimum load torque and the load torque, determine the ratio of the difference to the load torque, and determine the stirring speed adjustment factor based on the ratio; The stirring speed and the stirring speed adjustment factor are directly proportional.

[0014] Compared with existing technologies, the advantages of this invention are as follows: By collecting and preprocessing melt temperature data in real time, and flexibly selecting mapping, traversal, or model strategies based on temperature changes to determine the stirring speed, this invention accurately adapts to the dynamic working conditions caused by batch differences in raw materials and fluctuations in melt state during production. This avoids the uncertainty and blindness of manually setting parameters, improving the adaptability and stability of the stirring speed to real-time working conditions. Through analysis of standard temperature change values, the stirring speed is determined by mapping, traversing historical datasets to determine the stirring speed, or sorting and fusing to determine the influence of temperature changes. This eliminates interference from individual differences in human experience, ensuring the uniformity of mixing and consistency of control across different production batches. This, in turn, guarantees the mixing effect of waterproof material components, improving production stability and reliability. Combined with the stirring load torque curve, the stirring speed is adjusted by comparing the minimum load torque with the load torque. This ensures mixing quality while avoiding the risk of control failure due to mismatch between load torque and stirring, thus ensuring production stability.

[0015] On the other hand, this application also provides a control system for the production of waterproof materials, for applying the above-described control method for the production of waterproof materials, including: The data acquisition and analysis unit is configured to acquire several melting temperature data points based on the acquisition period, preprocess each melting temperature data point to determine the target melting temperature, determine the temperature change value based on the acquisition period and the target melting temperature, and determine the mapping strategy, traversal strategy or model strategy based on the relationship between all temperature change values ​​and the standard temperature change value. The first processing unit is configured to, when the mapping strategy is determined, determine the stirring speed based on a temperature change value; when the traversal strategy is determined, analyze all temperature change values ​​to determine the temperature influence chain, traverse the temperature influence chain in the historical influence set to determine the stirring speed; when the model strategy is determined, sort all temperature change values, fuse them based on the sorting results to determine the temperature change influence value, and determine the stirring speed based on the temperature change influence value. The second processing unit is configured to determine a stirring load torque curve based on the acquisition period, determine a minimum load torque based on the stirring load torque curve, determine the load torque of the stirring speed, and determine whether to adjust the stirring speed or not based on the relationship between the minimum load torque and the load torque. The stirring unit is configured to determine a stirring speed adjustment factor based on the relationship between the minimum load torque and the load torque when it is determined to adjust the stirring speed, and to adjust the stirring speed based on the stirring speed adjustment factor, and to complete production according to the adjusted stirring speed.

[0016] It is understandable that the control method and system described above for the production of waterproof materials have the same beneficial effects, and will not be elaborated further here. Attached Figure Description

[0017] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings: Figure 1 A flowchart of a control method for the production of waterproof materials provided in an embodiment of the present invention; Figure 2 This is a functional block diagram of a control system for the production of waterproof materials, provided as an embodiment of the present invention. Detailed Implementation

[0018] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the disclosure to those skilled in the art. It should be noted that, unless otherwise specified, embodiments and features in the embodiments of the present invention can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0019] See Figure 1 As shown in some embodiments of this application, a control method for the production of waterproof materials includes: S100: Acquire several melting temperature data points based on the acquisition period, preprocess each melting temperature data point to determine the target melting temperature, determine the temperature change value based on the acquisition period and the target melting temperature, and determine the mapping strategy, traversal strategy or model strategy based on the relationship between all temperature change values ​​and the standard temperature change value.

[0020] S200: When the mapping strategy is determined, the stirring speed is determined based on a temperature change value. When the traversal strategy is determined, all temperature change values ​​are analyzed to determine the temperature influence chain. The temperature influence chain is traversed in the historical influence set to determine the stirring speed. When the model strategy is determined, all temperature change values ​​are sorted. The temperature change influence value is determined by fusion based on the sorting results. The stirring speed is determined based on the temperature change influence value.

[0021] S300: Determines the stirring load torque curve based on the data acquisition period, determines the minimum load torque based on the stirring load torque curve, determines the load torque of the stirring speed, and determines whether to adjust the stirring speed or not based on the relationship between the minimum load torque and the load torque.

[0022] S400: When it is determined to adjust the stirring speed, the stirring speed adjustment factor is determined based on the relationship between the minimum load torque and the load torque, and the stirring speed is adjusted based on the stirring speed adjustment factor. Production is completed according to the adjusted stirring speed.

[0023] Specifically, several melting temperature data points are acquired based on a collection period. The collection period can be dynamically set according to the melting time of the raw materials (asphalt and polymer resins, etc.) used in the production of waterproof materials. Melting temperature data are collected using devices such as temperature sensors or infrared thermometers. In this embodiment, the preferred collection period is 300 seconds, and the preferred number of melting temperature data points is 30, with data collected every 10 seconds. During the collection process, the data may be biased due to environmental noise or data fluctuations. The real-time collected melting temperature data is preprocessed to obtain the target melting temperature that accurately reflects the raw material. Combined with the collection period, the temperature change value is calculated, quantifying the dynamic fluctuations of the raw material in the molten state. It is generally believed that the melting state of the raw material reaches a stable state at a certain temperature. Before reaching a stable state, the melting temperature fluctuates within a certain range. This range is denoted as the standard temperature change value. Based on the differences between all temperature change values ​​and the standard temperature change value, a mapping strategy, an ergonomic strategy, or a model strategy is determined. These strategies dynamically determine the stirring speed based on the differences. When a mapping strategy is used, the stirring speed is determined based on one of the temperature change values ​​to achieve rapid response in the production control of waterproof materials. When an ergonomic strategy is used, it indicates that the temperature change values ​​deviate from the standard temperature change value but follow a certain pattern. The temperature change is then constructed into a temperature influence chain and compared with a historical influence set to refer to mature parameters from similar working conditions to determine the stirring speed, thus balancing stability and control consistency. When the differences are more complex, determining the stirring speed based on historical data or rapid response is not possible. In this case, a model strategy is used. All temperature change values ​​are sorted and then fused to determine the temperature change influence value. The temperature change influence value comprehensively quantifies the changes in the melting state of the raw material to determine the stirring speed, thereby dealing with relatively complex dynamic working conditions.

[0024] Understandably, after determining the stirring speed, the motor of the stirring equipment will experience wear or other resistance factors (such as friction during stirring) during the data collection period. Therefore, a load torque curve is generated based on the data collection period to locate the minimum load torque on the load torque curve and determine the ideal load torque at the stirring speed. The load torque is compared with the minimum load torque to determine whether to adjust the stirring speed or not, avoiding the risk of instability or equipment damage during stirring and ensuring the stability of waterproof materials produced in the same batch. If the stirring speed needs to be adjusted, the stirring speed adjustment factor is determined based on the relationship between the minimum load torque and the load torque, thereby adjusting the stirring speed. Finally, the stirring production is carried out at the adjusted stirring speed, achieving precise adaptation to dynamic working conditions. By determining the mapping strategy, traversal strategy, or model strategy based on the relationship between all temperature change values ​​and standard temperature change values, the uncertainty of human experience and the inability of set parameters to cope with dynamic changes such as batch differences in raw materials and temperature fluctuations during the production process are avoided. This improves the stability and reliability of waterproof material production. Whether it is the fixed rules of the mapping strategy, the reuse of historical data in the traversal strategy, or the algorithm generation of the model strategy, all are based on data to ensure the consistency of mixing conditions for different batches of products. This avoids equipment overload due to excessively high mixing speed or insufficient mixing due to excessively low speed caused by human experience, ensuring uniform mixing of material molecules (improving waterproof performance and tensile strength), thereby improving production stability.

[0025] In some embodiments of this application, when acquiring several melting temperature data based on the acquisition period, preprocessing each melting temperature data to determine the target melting temperature, and determining the temperature change value based on the acquisition period and the target melting temperature, the process includes: performing multi-scale decomposition and denoising on each melting temperature data based on wavelet adaptive denoising, and using bilateral filtering to locally smooth the residual noise of each melting temperature data, dividing the local smoothing result into three intervals and performing linear normalization on each interval, determining the target melting temperature based on the PCA iterative reconstruction of the linear normalization result, obtaining the temperature difference between the target melting temperature at the current moment and the target melting temperature at the previous moment, and determining the temperature difference as the temperature change value.

[0026] Specifically, wavelet adaptive denoising is employed to decompose the melting temperature data into multi-scale components, separating them into different frequency components. High-frequency noise, such as electromagnetic interference, is adaptively removed to preserve the true melting temperature. Bilateral filtering is then used to locally smooth residual noise, eliminating subtle fluctuations while retaining temperature abrupt changes, such as the step changes during the melting stage, avoiding feature loss due to over-smoothing. The smoothed data is then divided into three temperature ranges, dynamically determined based on the melting temperature of the original material: a solid-to-semi-molten state range, a semi-molten-to-molten state range, and a fully molten to stable-melting state range. These ranges are then linearly normalized to unify the data scale and accommodate the differences in characteristics across different temperature segments. PCA iterative reconstruction is used to remove redundant information, ultimately generating the target melting temperature that accurately reflects the original material. The temperature change value is determined by the difference between the current and previous target melting temperatures. The temperature difference between the current and previous target melting temperatures is obtained. Since the melting temperature data is collected every 10 seconds, the current and previous times are 10 seconds apart. The temperature change value quantifies the real-time fluctuation range.

[0027] Understandably, the combination of wavelet denoising and bilateral filtering removes random noise while preserving data characteristics, avoiding data distortion. Interval normalization eliminates the dimensional differences between different temperature ranges, improving data stability, while PCA reduces the interference of outliers, making the target melting temperature and temperature change values ​​closer to the true state of the original material, thus providing a basis for subsequent strategy selection.

[0028] In some embodiments of this application, when determining a mapping strategy, traversal strategy, or model strategy based on the relationship between all temperature change values ​​and the standard temperature change value, the following methods are used: when all temperature change values ​​are equal to the standard temperature change value, a mapping strategy is determined; when all temperature change values ​​are greater than or less than the standard temperature change value, a traversal strategy is determined; and when one or more temperature change values ​​are greater than the standard temperature change value and one or more temperature change values ​​are less than or equal to the standard temperature change value, a model strategy is determined.

[0029] Specifically, when all temperature change values ​​are equal to the standard temperature change value, it indicates that the melting state is relatively stable and conforms to the melting change law of the original material. In this case, a mapping strategy is directly adopted to quickly match the corresponding parameters. When all temperature change values ​​are greater than or less than the standard value, it indicates that there is a systematic deviation (such as overheating or undercooling of the entire batch of raw materials during melting). In this case, a traversal strategy is initiated to search for similar deviation patterns in the historical influence set to reuse parameters based on historical experience. When temperature change values ​​are simultaneously greater than, less than, or equal to the standard temperature change value, it reflects that the melting state is affected by multiple factors, such as uneven local heating or fluctuations in raw material mixing. In this case, a model strategy is used to perform fusion calculations on complex fluctuations to generate a dynamic, customized parameter to achieve accurate matching of different control strategies to the working conditions. By classifying and deciding, the blindness and uncertainty of setting human experience parameters are reduced, ensuring the uniformity of waterproof material mixing and improving the real-time performance and reliability of production control.

[0030] In some embodiments of this application, when a mapping strategy is determined, the stirring speed is determined based on a temperature change value, including: selecting any temperature change value and determining the corresponding stirring speed in a lookup table, wherein the lookup table includes a mapping relationship between the temperature change value and the corresponding stirring speed, and the stirring speed determined in the lookup table is the rated speed.

[0031] Specifically, the core of the mapping strategy is to directly match the stirring speed based on preset rules. When all temperature change values ​​are equal to the standard temperature change value, it indicates that the molten state is in a stable and controllable ideal working condition. At this time, any temperature change value can be used to determine the corresponding stirring speed in the lookup table. The mapping relationship of the lookup table is based on stable production data and the corresponding stirring motor. It is generally believed that when the molten state is stable, it is only necessary to mix the raw materials stably. Using the rated speed can maximize the production efficiency under stable working conditions, minimize energy consumption while ensuring the mixing quality, ensure the reliability of the stirring effect, help ensure the consistency of different batches of products, and improve the stability and reliability of production.

[0032] In some embodiments of this application, when a traversal strategy is determined, analyzing all temperature change values ​​to determine temperature influence chains, and traversing the temperature influence chains in the historical influence set to determine the stirring speed, includes: extracting the maximum temperature change value, minimum temperature change value, and average temperature change value from all temperature change values, arranging the maximum temperature change value, minimum temperature change value, and average temperature change value in descending order, constructing temperature influence chains based on the arrangement results, the historical influence set including several historical temperature influence chains and historical stirring speeds, and each historical temperature influence chain corresponding to a historical stirring speed, traversing the temperature influence chains in the historical influence set, when a historical temperature influence chain with the same temperature influence chain exists in the historical influence set, the historical stirring speed corresponding to that historical temperature influence chain is determined as the stirring speed, when no historical temperature influence chain with the same temperature influence chain exists in the historical influence set, unchaining all historical temperature influence chains in the historical influence set, and combining each historical temperature change average value with its corresponding historical stirring speed to determine a temperature average value set, and determining the stirring speed based on the temperature average value set.

[0033] Specifically, the maximum, minimum, and average temperature changes are extracted and arranged in descending order to construct a temperature influence chain. The maximum temperature change reflects deviations at extreme high temperatures, the minimum reflects deviations at extreme low temperatures, and the average temperature change presents the overall fluctuation trend. Combining these three factors comprehensively covers the extreme characteristics and overall situation of temperature changes, avoiding omissions of fluctuation information due to a single indicator. Furthermore, arranging them in descending order ensures the representation of temperature change characteristics, refining scattered temperature change values ​​into an ordered temperature influence chain. This preserves core information while reducing data redundancy, thereby improving the speed and accuracy of traversal matching. When a historical temperature influence chain identical to the current one is found, these historical data can be directly used to determine the stirring speed, ensuring the reliability and consistency of the stirring speed. If the current temperature influence chain does not perfectly match the historical temperature influence chain, then all historical temperature influence chains are unchained. The historical temperature mean and stirring speed are recombined to form a temperature mean set. The constraints of the historical maximum temperature change value and the historical maximum temperature change value in the historical temperature influence chain are removed, expanding the search range of historical data. Then, the data in the temperature mean set is analyzed to determine the stirring speed, thereby eliminating the order dependency of the historical temperature influence chain, improving the stability of historical reuse for similar but not completely identical working conditions, avoiding the discarding of relevant historical experience due to incomplete matching, and ensuring the stability of determining the stirring speed under small sample conditions.

[0034] Understandably, data-driven determination reduces reliance on human experience and intuition, lowers the uncertainty and operational risks associated with human judgment, thereby improving the automation level and reliability of the production process. By comprehensively utilizing historical influence sets, it provides rich reference information for determining the stirring speed.

[0035] In some embodiments of this application, when determining the stirring speed based on a set of average temperature values, the method includes: unchaining the temperature influence chain to determine the average temperature change; comparing the average temperature change with the historical average temperature change in each set of average temperature values ​​to determine the similarity; determining the set of average temperature values ​​containing the historical average temperature change with the highest similarity; when the set of average temperature values ​​containing the historical average temperature change with the highest similarity is unique, then the historical stirring speed in that set of average temperature values ​​is determined as the stirring speed; when the set of average temperature values ​​containing the historical average temperature change with the highest similarity is not unique, then the average of the historical stirring speeds in each set of average temperature values ​​is determined as the stirring speed.

[0036] Specifically, when there is no perfectly matching temperature influence chain in the historical influence set, the current temperature influence chain is first unchained to obtain the average temperature change. Then, it is compared with each historical average temperature change in the historical temperature average set to determine the similarity. The similarity can be determined by Euclidean distance and cosine similarity. If there is a unique historical average temperature change with the highest similarity, and based on the principle that similar temperature fluctuations require similar stirring speeds, its corresponding historical stirring speed is directly reused. If multiple historical average temperature changes have the highest similarity, the average of their corresponding historical stirring speeds is taken. By using a group, the random error of a single similarity is reduced, improving the utilization rate of the historical influence set. This is especially true under similar but not identical working conditions with differences in different material batches, thereby outputting a reliable stirring speed and improving the stability and reliability of production.

[0037] In some embodiments of this application, when the model strategy is determined, all temperature change values ​​are sorted, and the temperature change influence value is determined by fusion based on the sorting results. When determining the stirring speed based on the temperature change influence value, the process includes: sorting all temperature change values ​​in descending order and determining the median and the mean temperature change; extracting temperature change values ​​greater than the median to construct a first set of temperature change values; extracting temperature change values ​​greater than the mean temperature change to construct a second set of temperature change values; determining whether there is an intersection between the first set of temperature change values ​​and the second set of temperature change values; if so, determining the mean of the intersection values ​​as the temperature change influence value; if not, fusing the first set of temperature change values ​​and the second set of temperature change values, wherein fusing involves retaining the non-repeating temperature change values ​​in the first set of temperature change values ​​and the second set of temperature change values, deleting the remaining repetitive temperature change values, merging the deleted first set of temperature change values ​​and the second set of temperature change values ​​to obtain a merged set, and determining the mean of the merged set as the temperature change influence value; and substituting the temperature change influence value into a pre-trained decision tree model to determine the stirring speed.

[0038] Specifically, when temperature changes exhibit a complex distribution (including both values ​​above and below the standard), the temperature changes are first sorted in descending order, and the median and mean temperature change are extracted as benchmarks for the data distribution. The upper half of the temperature change range (values ​​greater than the median) is defined based on the median, while the mean temperature change reflects the overall trend. By constructing a first set and a second set of temperature changes, the focus is on temperature changes with larger fluctuations, which typically have a significant impact on material mixing. If the two sets intersect, indicating the presence of some temperature changes with high-temperature fluctuations, the mean of the intersection values ​​is directly taken as the temperature change impact value. If there is no intersection, the two sets are merged, retaining non-repeating temperature changes to avoid information redundancy while preserving all key fluctuation characteristics. Finally, the stirring speed is mapped and output through a decision tree model. The decision tree, trained on key data such as different temperature change impact values, temperature changes, melting states of various raw materials, stirring force, and stirring radius, has learned the complex relationship between temperature change impact values ​​and stirring speed, dynamically responding to complex temperature fluctuations and ensuring production stability.

[0039] In some embodiments of this application, when determining the minimum load torque based on the stirring load torque curve, determining the load torque for the stirring speed, and determining whether to adjust the stirring speed or not based on the relationship between the minimum load torque and the load torque, the process includes: determining several stirring load torques based on the acquisition period, determining the X-axis coordinate value of each stirring load torque based on the acquisition period, and using the value of each stirring load torque as the Y-axis coordinate value of each stirring load torque; converting all stirring load torques into coordinate points based on the X-axis and Y-axis coordinate values; fitting all coordinate points to determine the coordinate point fitting curve, and deleting unfitted coordinate points; constructing a load torque curve based on the deletion results; determining the coordinate point with the minimum Y-axis coordinate value in the load torque curve as the minimum load torque; when the minimum load torque is less than or equal to the load torque, determining not to adjust the stirring speed and completing production at the stirring speed; when the minimum load torque is greater than the load torque, determining to adjust the stirring speed.

[0040] Specifically, several stirring load torques are determined based on the acquisition period. In this embodiment, the acquisition period is preferably 300 seconds. When acquiring melting temperature data, stirring load torques are also acquired. The stirring load torques are preferably 30. The stirring load torques are acquired once every 10 seconds. The time of the acquisition period is used as the X-axis coordinate value, and the value of the load torque is used as the Y-axis coordinate value to construct coordinate points, transforming discrete data into a visualized time-torque relationship. By eliminating outliers (such as pulse torque caused by instantaneous equipment vibration) through curve fitting, a smooth load torque curve is generated to ensure that the data reflects the actual mixing situation. Curve fitting can be determined using methods such as least squares. The torque corresponding to the coordinate point of the minimum Y-axis value in the load torque curve (minimum load torque) is a critical state with the minimum mixing resistance and optimal energy consumption during that period. If the ideal load torque corresponding to the mixing speed is greater than or equal to the minimum load torque (minimum load torque is less than or equal to the load torque), it means that the current motor can reach the mixing speed, and no adjustment is needed. When the minimum load torque is greater than the load torque, it means that the current motor cannot reach the mixing speed, and the mixing speed needs to be dynamically adjusted. The minimum load torque is used as the benchmark value to ensure that the mixing speed always operates within the range of resistance and mixing efficiency, thereby achieving precise control of the mixing speed to cope with the resistance changes caused by the viscosity of the original material (such as fluctuations in the molten state), ensuring the uniformity of the waterproof material mixing, reducing batch performance differences, and improving the stability and reliability of production.

[0041] In some embodiments of this application, when determining to adjust the stirring speed, the stirring speed adjustment factor is determined based on the relationship between the minimum load torque and the load torque, and the stirring speed is adjusted based on the stirring speed adjustment factor, including: obtaining the difference between the minimum load torque and the load torque, determining the ratio of the difference to the load torque, determining the stirring speed adjustment factor based on the ratio, and the stirring speed and the stirring speed adjustment factor being directly proportional.

[0042] Specifically, a first ratio and a second ratio are set, with the first ratio being greater than the second ratio. When the ratio is greater than the first ratio, the first adjustment factor is determined as the stirring speed adjustment factor. When the ratio is less than or equal to the first ratio but greater than or equal to the second ratio, the second adjustment factor is determined as the stirring speed adjustment factor. When the ratio is less than the second ratio, the third adjustment factor is determined as the stirring speed adjustment factor. Here, 0 < first adjustment factor < second adjustment factor < third adjustment factor < 1. When the minimum load torque is greater than the load torque, it indicates that the current motor cannot reach the stirring speed, possibly due to motor aging or frictional resistance during stirring, which prevents it from fully supporting the stirring speed. Without affecting the stability of the stirring motor, the stirring speed is appropriately reduced to ensure production continuity and process quality. By dynamically selecting the adjustment factor as the stirring speed adjustment factor, excessive or insufficient adjustment is avoided, thereby precisely controlling the stirring speed. Assuming the stirring speed is V and the stirring speed adjustment factor is H, the adjusted stirring speed is determined to be V*H. By establishing a direct proportional relationship between the stirring speed and the stirring speed adjustment factor, precise control of the stirring speed is achieved, improving the stability and reliability of production.

[0043] In summary, the beneficial effects of this invention are as follows: By collecting and preprocessing melt temperature data in real time, and flexibly selecting mapping, traversal, or model strategies based on temperature changes to determine the stirring speed, the invention accurately adapts to the dynamic working conditions caused by batch differences in raw materials and fluctuations in melt state during production. This avoids the uncertainty and blindness of manually setting parameters, improving the adaptability and stability of the stirring speed to real-time working conditions. Through analysis of standard temperature change values, the stirring speed is determined by mapping, traversing historical datasets to determine the stirring speed, or sorting and fusing to determine the influence of temperature changes. This eliminates interference from individual differences in human experience, ensuring the uniformity of mixing and consistency of control across different production batches. This, in turn, guarantees the mixing effect of waterproof material components, improving production stability and reliability. Furthermore, by combining the stirring load torque curve with the minimum load torque and the load torque, the stirring speed is adjusted. This ensures mixing quality while avoiding the risk of control failure due to mismatch between load torque and stirring, thus ensuring production stability.

[0044] In another preferred embodiment based on the above embodiments, see [reference] Figure 2As shown, this embodiment provides a control system for the production of waterproof materials, used to apply the above-described control method for the production of waterproof materials, including: The data acquisition and analysis unit is configured to acquire several melting temperature data points based on the acquisition period, preprocess each melting temperature data point to determine the target melting temperature, determine the temperature change value based on the acquisition period and the target melting temperature, and determine the mapping strategy, traversal strategy or model strategy based on the relationship between all temperature change values ​​and the standard temperature change value.

[0045] The first processing unit is configured to determine the stirring speed based on a temperature change value when the mapping strategy is determined; to analyze all temperature change values ​​to determine the temperature influence chain when the traversal strategy is determined, and to traverse the temperature influence chain in the historical influence set to determine the stirring speed when the model strategy is determined; and to sort all temperature change values, fuse them based on the sorting results to determine the temperature change influence value, and to determine the stirring speed based on the temperature change influence value.

[0046] The second processing unit is configured to determine the stirring load torque curve based on the acquisition period, determine the minimum load torque based on the stirring load torque curve, determine the load torque of the stirring speed, and determine whether to adjust the stirring speed or not based on the relationship between the minimum load torque and the load torque.

[0047] The mixing unit is configured to determine a mixing speed adjustment factor based on the relationship between the minimum load torque and the load torque when it is determined to adjust the mixing speed, and adjust the mixing speed based on the mixing speed adjustment factor, and complete the production according to the adjusted mixing speed.

[0048] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program goods. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program goods embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0049] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program goods according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0050] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0051] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0052] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A control method for the production of waterproof materials, characterized in that, include: Several melting temperature data points are acquired based on the acquisition period, and each melting temperature data point is preprocessed to determine the target melting temperature. The temperature change value is determined based on the acquisition period and the target melting temperature. The mapping strategy, traversal strategy or model strategy is determined based on the relationship between all temperature change values ​​and the standard temperature change value. When the mapping strategy is determined, the stirring speed is determined based on a temperature change value. When the traversal strategy is determined, all temperature change values ​​are analyzed to determine the temperature influence chain. The temperature influence chain is traversed in the historical influence set to determine the stirring speed. When the model strategy is determined, all temperature change values ​​are sorted. The temperature change influence value is determined by fusion based on the sorting results. The stirring speed is determined based on the temperature change influence value. Based on the data collection period, a stirring load torque curve is determined. Based on the stirring load torque curve, a minimum load torque is determined. The load torque of the stirring speed is determined. Based on the relationship between the minimum load torque and the load torque, it is determined whether to adjust the stirring speed or not. When it is determined to adjust the stirring speed, a stirring speed adjustment factor is determined based on the relationship between the minimum load torque and the load torque, and the stirring speed is adjusted based on the stirring speed adjustment factor. Production is then completed according to the adjusted stirring speed.

2. The control method for producing waterproof materials according to claim 1, characterized in that, When acquiring several melting temperature data points based on a data acquisition period, preprocessing each melting temperature data point to determine the target melting temperature, and determining the temperature change value based on the data acquisition period and the target melting temperature, the process includes: Based on wavelet adaptive denoising, multi-scale decomposition and denoising are performed on each melting temperature data, and bilateral filtering is used to locally smooth the residual noise of each melting temperature data. The result of the local smoothing is divided into three intervals and linearly normalized respectively. The target melting temperature is determined by iteratively reconstructing the result of the linear normalization based on PCA. Obtain the temperature difference between the target melting temperature at the current moment and the target melting temperature at the previous moment, and determine the temperature difference as the temperature change value.

3. The control method for producing waterproof materials according to claim 2, characterized in that, When determining the mapping strategy, traversal strategy, or model strategy based on the relationship between all temperature change values ​​and standard temperature change values, the following strategies are included: When all temperature change values ​​are equal to the standard temperature change value, the mapping strategy is determined. When all temperature change values ​​are greater than or less than the standard temperature change value, the traversal strategy is determined. When there are one or more temperature change values ​​that are greater than the standard temperature change value, and one or more temperature change values ​​that are less than or equal to the standard temperature change value, then it is determined to be the model strategy.

4. The control method for producing waterproof materials according to claim 3, characterized in that, When the mapping strategy is determined, the stirring speed is determined based on a temperature change value, including: Select any temperature change value and determine the corresponding stirring speed in the lookup table, wherein the lookup table includes the mapping relationship between the temperature change value and the corresponding stirring speed; The corresponding stirring speed is determined from the lookup table as the rated speed.

5. The control method for producing waterproof materials according to claim 4, characterized in that, When the traversal strategy is determined, analyzing all temperature change values ​​to identify temperature influence chains, and traversing these temperature influence chains through the historical influence set to determine the stirring speed, includes: Extract the maximum temperature change value, minimum temperature change value, and average temperature change value from all temperature change values, and arrange the maximum temperature change value, minimum temperature change value, and average temperature change value in descending order, and construct the temperature influence chain based on the arrangement result; The historical influence set includes several historical temperature influence chains and historical stirring speeds, and each historical temperature influence chain corresponds to a historical stirring speed. The temperature influence chain is traversed in the historical influence set. When there is a historical temperature influence chain in the historical influence set that is the same as the temperature influence chain, the historical stirring speed corresponding to the historical temperature influence chain is determined as the stirring speed. When there is no historical temperature influence chain in the historical influence set that is the same as the temperature influence chain, all historical temperature influence chains in the historical influence set are unchained, and the average historical temperature change is combined with its corresponding historical stirring speed to determine the temperature average set. The stirring speed is then determined based on the temperature average set.

6. The control method for producing waterproof materials according to claim 5, characterized in that, When determining the stirring speed based on the average temperature set, the following steps are included: The temperature influence chain is unchained to determine the mean temperature change, and the mean temperature change is compared with the historical mean temperature change in each set of mean temperature changes to determine the similarity. Determine the set of temperature averages where the historical temperature change average with the maximum similarity is located. If the set of temperature averages where the historical temperature change average with the maximum similarity is located is unique, then the historical stirring speed in that set of temperature averages is determined as the stirring speed. When the set of temperature mean values ​​containing the historical temperature change mean with the maximum similarity is not unique, the average historical stirring speed in each set of temperature mean values ​​is determined as the stirring speed.

7. The control method for producing waterproof materials according to claim 6, characterized in that, When the model strategy is determined, all temperature change values ​​are sorted, and the influence value of temperature change is determined by fusion based on the sorting results. When determining the stirring speed based on the influence value of temperature change, the following steps are included: Sort all temperature change values ​​in descending order and determine the median and the mean temperature change. Extract temperature change values ​​greater than the median to construct a first set of temperature change values, and extract temperature change values ​​greater than the mean temperature change to construct a second set of temperature change values. Determine whether there is an intersection between the first set of temperature change values ​​and the second set of temperature change values; If so, the mean of the intersection values ​​is determined as the temperature change influence value; If not, the first set of temperature change values ​​and the second set of temperature change values ​​are merged. The merging process involves retaining the non-repeating temperature change values ​​in the first set of temperature change values ​​and the second set of temperature change values, deleting the remaining repeated temperature change values, merging the deleted first set of temperature change values ​​and the second set of temperature change values ​​to obtain a merged set, and determining the mean of the merged set as the temperature change influence value. The influence value of the temperature change is substituted into a pre-trained decision tree model to determine the stirring speed.

8. The control method for producing waterproof materials according to claim 7, characterized in that, When determining the minimum load torque based on the stirring load torque curve, determining the load torque of the stirring speed, and determining whether to adjust the stirring speed or not based on the relationship between the minimum load torque and the load torque, the process includes: Based on the acquisition period, several stirring load torques are determined. The X-axis coordinate value of each stirring load torque is determined based on the acquisition period, and the value of each stirring load torque is used as the Y-axis coordinate value of each stirring load torque. Based on the X-axis coordinate value and the Y-axis coordinate value, all stirring load torques are converted into coordinate points. All coordinate points are fitted to determine the coordinate point fitting curve, and unfitted coordinate points are deleted. Based on the deletion results, the load torque curve is constructed, and the coordinate point with the smallest Y-axis coordinate value in the load torque curve is determined as the minimum load torque. When the minimum load torque is less than or equal to the load torque, it is determined that the stirring speed will not be adjusted, and production will be completed at the stirring speed. When the minimum load torque is greater than the load torque, the stirring speed is adjusted.

9. The control method for producing waterproof materials according to claim 8, characterized in that, When it is determined that the stirring speed should be adjusted, a stirring speed adjustment factor is determined based on the relationship between the minimum load torque and the load torque, and the stirring speed is adjusted based on the stirring speed adjustment factor, including: Obtain the difference between the minimum load torque and the load torque, determine the ratio of the difference to the load torque, and determine the stirring speed adjustment factor based on the ratio; The stirring speed and the stirring speed adjustment factor are directly proportional.

10. A control system for the production of waterproof materials, used in applying the control method for the production of waterproof materials as described in any one of claims 1-9, characterized in that, include: The data acquisition and analysis unit is configured to acquire several melting temperature data points based on the acquisition period, preprocess each melting temperature data point to determine the target melting temperature, determine the temperature change value based on the acquisition period and the target melting temperature, and determine the mapping strategy, traversal strategy or model strategy based on the relationship between all temperature change values ​​and the standard temperature change value. The first processing unit is configured to, when the mapping strategy is determined, determine the stirring speed based on a temperature change value; when the traversal strategy is determined, analyze all temperature change values ​​to determine the temperature influence chain, traverse the temperature influence chain in the historical influence set to determine the stirring speed; when the model strategy is determined, sort all temperature change values, fuse them based on the sorting results to determine the temperature change influence value, and determine the stirring speed based on the temperature change influence value. The second processing unit is configured to determine a stirring load torque curve based on the acquisition period, determine a minimum load torque based on the stirring load torque curve, determine the load torque of the stirring speed, and determine whether to adjust the stirring speed or not based on the relationship between the minimum load torque and the load torque. The stirring unit is configured to determine a stirring speed adjustment factor based on the relationship between the minimum load torque and the load torque when it is determined to adjust the stirring speed, and to adjust the stirring speed based on the stirring speed adjustment factor, and to complete production according to the adjusted stirring speed.

Images