A preparation control method, system and equipment of a general self-adhesive enameled wire

Abstract

This invention belongs to the field of intelligent manufacturing equipment industry, and provides a general-purpose method, system, and equipment for the preparation and control of self-adhesive enameled wire. It obtains the difference degree of thermal potential characteristic vectors of each temperature-controlled region based on the distance between their thermal potential characteristic vectors, and obtains the maximum absolute difference value of thermal potential for each temperature-controlled region based on the absolute difference of their thermal potential values. The difference degree of thermal potential characteristic vectors and the maximum absolute difference value are combined to form a comprehensive difference value for each temperature-controlled region. The comprehensive difference values ​​are sorted to form a comprehensive difference ranking sequence, with the point of maximum interval between adjacent regions in the ranking sequence as the maximum interval dividing point. Temperature-controlled regions located after the maximum interval dividing point are identified as non-spraying regions, and temperature-controlled regions located before the maximum interval dividing point are identified as spraying regions and controlled to enter the alcohol melt layer spraying process. This method can stably screen out abnormal temperature-controlled regions and determine the spraying window, improving spraying consistency and reducing risk, thus achieving more robust control decisions.

Description

Technical Field

[0001] This invention belongs to the field of intelligent manufacturing equipment industry and electronic digital control or regulation system, and specifically relates to a method, system and equipment for the preparation and control of a general-purpose self-adhesive enameled wire. Background Technology

[0002] Self-adhesive enameled wire, also known as self-adhesive magnet wire or self-fusion wire, typically consists of an adhesive self-adhesive layer coated over the insulation film of conventional enameled wire. Activating this self-adhesive layer allows the coil turns to bond together, reducing the need for a frame, binding, and impregnation. This makes it suitable for mass production of complex or frameless coils and can also be used in the manufacture of cross-linked polyethylene insulated power cables. Current activation methods for the self-adhesive layer mainly include heat activation and solvent activation. In solvent activation, the coil needs to be heated after solvent drying to remove residual solvent; otherwise, long-term coil failure may occur. Therefore, the key issue facing the industry is not only whether self-adhesive is possible, but also how to stably control the evaporation process and thermal field equilibrium of the self-adhesive layer under different wire diameters, speeds, and ventilation conditions during high-speed continuous coating, baking, cooling, and subsequent spraying processes, especially for solvent systems, to ensure that the spraying window and safety boundaries are reproducible and universal. For example, patent document CN113921194B discloses a process control scheme for dividing the hot melt layer line into temperature control zones, collecting temperature data, and calculating thermal potential values ​​to determine whether to proceed with alcohol melt layer spraying. However, it still suffers from problems such as relying primarily on temperature or thermal potential variables for judgment, lacking direct characterization of solvent evaporation and VOC dynamics, and insufficient stability of the spraying window during operating condition drift. Another example is patent document CN103000303B, which discloses a production method for multi-pass coating and drying of enameled aluminum round wire to form a self-adhesive layer. However, it still suffers from problems such as the process relying mainly on multi-pass and fixed process paths, lacking an adaptive judgment mechanism for whether segmented wires can be sprayed under different line speeds and exhaust fluctuations. For example, patent document CN102005256B discloses a production method for setting a self-adhesive coating layer between an aluminum core and a polyesterimide coating layer, and provides parameters for preheating, drying, and cooling. However, it still suffers from control biases towards setpoints and empirical parameters, making it difficult to quantify and correct fluctuations and enrichment risks in the evaporation process online. In existing technologies, control dimensions are mostly concentrated on temperature or fixed setpoints, lacking sufficient online characterization of solvent evaporation intensity, evaporation fluctuations, and enrichment, making it difficult to identify high-risk areas of thermal evaporation in a timely manner. Furthermore, the threshold setpoint is too dependent, requiring frequent recalibration when faced with changes in wire diameter, line speed, ventilation capacity, and ambient temperature and humidity, resulting in poor versatility. Additionally, residual solvent in solvent-activated scenarios requires subsequent heating for removal; otherwise, long-term failure may occur. However, existing methods often lack closed-loop evidence regarding residual risks and automatic, intelligent logic for adaptive segmented control. Summary of the Invention

[0003] The purpose of this invention is to provide a general method, system and equipment for the preparation and control of self-adhesive enameled wire, so as to solve one or more technical problems existing in the prior art, and at least provide a beneficial option or create conditions.

[0004] To achieve the above objectives, according to one aspect of the present invention, a method for controlling the preparation of a universal self-adhesive enameled wire is provided; wherein, the hot-melt layer wire obtained in a first temperature environment can be divided into multiple temperature-controlled regions along its length; and in a second temperature environment, temperature values ​​and volatile organic compound (VOC) concentrations of each temperature-controlled region can be collected at preset sampling time intervals, and a sampling window can be formed for each temperature-controlled region. The method may include the following steps:

[0005] For each temperature-controlled zone, the highest temperature, lowest temperature, and average temperature of the zone are determined based on the temperature values ​​within the sampling window, and the regional thermal potential of the zone is determined based on the highest temperature, lowest temperature, and average temperature of the zone; for each temperature-controlled zone, the regional average VOC concentration and volatility fluctuation are determined based on the VOC concentration within the sampling window. For each temperature-controlled zone, the zone's thermal potential value, average VOC concentration value, and volatility fluctuation are normalized to obtain normalized thermal potential value, normalized average VOC concentration value, and normalized volatility fluctuation, respectively. The thermal potential feature vector of the temperature-controlled zone is then constructed using the normalized thermal potential value, normalized average VOC concentration value, and normalized volatility fluctuation. The difference in thermal potential feature vectors of each temperature control zone is determined based on the thermal potential feature vectors of each temperature control zone, and the maximum absolute difference in thermal potential of each temperature control zone is determined based on the regional thermal potential value of each temperature control zone. The difference in thermal potential characteristic vectors of each temperature control zone and the maximum absolute difference in thermal potential are combined to form the comprehensive difference value of each temperature control zone; the comprehensive difference values ​​are sorted from smallest to largest to form a comprehensive difference sorting sequence; the adjacent difference interval between adjacent comprehensive difference values ​​in the comprehensive difference sorting sequence is calculated; and the adjacent position with the largest adjacent difference interval value is determined as the maximum interval split point. The temperature-controlled area before the maximum interval division point is defined as the spraying area and controlled to enter the alcohol melt layer spraying. The temperature-controlled area after the maximum interval division point is defined as the non-spraying area.

[0006] Optionally, control commands can be output to the non-sprayed area to adjust at least one process parameter; and after adjustment, the temperature value and VOC concentration of the non-sprayed area can be re-acquired and the above process of determining the maximum interval division point can be repeated until the non-sprayed area is determined to be a sprayed area or the preset termination condition is met.

[0007] Furthermore, the thermal potential value can be determined in the following way: for each temperature control zone, the maximum value of the temperature value within the sampling window is taken as the highest temperature value of the zone, the minimum value of the temperature value within the sampling window is taken as the lowest temperature value of the zone, the average value of the temperature value within the sampling window is taken as the average temperature value of the zone, and the ratio of the difference between the highest temperature value and the lowest temperature value of the zone to the average temperature value of the zone is taken as the thermal potential value.

[0008] Furthermore, the average VOC concentration value of the region is the average value of the VOC concentration within the sampling window; the volatility fluctuation is determined by taking the difference between the maximum and minimum VOC concentrations within the sampling window, and using the ratio of this difference to the average VOC concentration value of the region as the volatility fluctuation.

[0009] Furthermore, the normalized thermal potential, normalized average VOC concentration, and normalized volatility fluctuation are obtained using a minimum-maximum normalization method. The minimum-maximum normalization method includes mapping the same parameters in each temperature control region to values ​​between zero and one, based on the minimum and maximum values ​​of the same parameters in the multiple temperature control regions corresponding to this determination.

[0010] Furthermore, the thermal potential feature vector difference is determined by the following method: for each temperature control region, the Euclidean distance between the thermal potential feature vector of that temperature control region and the thermal potential feature vectors of the other temperature control regions is calculated, and the average value of the Euclidean distance is determined as the thermal potential feature vector difference of that temperature control region.

[0011] Existing technologies often rely on a single temperature threshold or a single thermal potential threshold for judgment, which makes it difficult to identify comprehensive abnormal areas when temperature, average VOC level, and VOC fluctuations change simultaneously. Furthermore, they are easily affected by local noise and random fluctuations in single sampling, leading to misjudgments. This approach, however, calculates the Euclidean distance between the thermal potential feature vector of each temperature-controlled area and the thermal potential feature vectors of other temperature-controlled areas, and takes the average of these Euclidean distances as the thermal potential feature vector difference degree for that temperature-controlled area. This allows for the identification of abnormal temperature-controlled areas based on the relative differences of multi-dimensional coupled features, maintaining good robustness even under operating condition drifts such as line speed, exhaust ventilation, and environmental changes, thereby improving the stability and consistency of spraying judgment. Specifically, the Euclidean distance comprehensively measures the normalized thermal potential value, normalized average VOC concentration value, and normalized volatility fluctuation as components in a unified feature space, reflecting the overall deviation of the area in multi-dimensional features. Averaging the distances with other areas suppresses deviations caused by individual comparison objects or random noise, making the difference degree more stable and representative.

[0012] Furthermore, the maximum absolute difference in thermal potential is determined in the following way: for each temperature control zone, the difference between the regional thermal potential value of the temperature control zone and the regional thermal potential values ​​of the other temperature control zones is calculated and the absolute value is taken. The maximum value among the absolute values ​​is taken as the maximum absolute difference in thermal potential of the temperature control zone.

[0013] Previously, relying solely on average temperature or average differences easily diluted extreme situations, leading to the averaging of local hotspots and extreme temperature inconsistencies. This resulted in higher safety risks when both double-layer materials and solvents were evaporating simultaneously, such as smoke and spontaneous combustion hazards caused by the accumulation of volatilized vapors due to localized high temperatures. This new method, however, calculates the difference between the thermal potential value of each temperature-controlled area and the thermal potential values ​​of other temperature-controlled areas, takes the absolute value, and selects the maximum value as the maximum absolute difference in thermal potential for that temperature-controlled area. This allows for rapid identification of the most dangerous extreme temperature inconsistencies at the regional thermal potential level, improving sensitivity to extreme temperature differences and local hotspots, making spraying control more conservative and reducing the probability of abnormal areas accidentally entering the spraying process. The maximum absolute difference is a mechanism for extracting the most unfavorable operating conditions, highlighting a small number of critical extreme thermal potential anomalies. Compared to mean and variance statistics, the maximum value is more sensitive to peak values ​​and is better suited for controlling safety boundaries and risk limits.

[0014] Furthermore, the comprehensive difference value is determined by normalizing the thermal potential feature vector difference degree and the maximum absolute difference of thermal potential respectively, and then weighting the normalized thermal potential feature vector difference degree and the normalized thermal potential maximum absolute difference to obtain the comprehensive difference value, wherein the weight of the thermal potential feature vector difference degree is greater than the weight of the maximum absolute difference of thermal potential.

[0015] Existing technologies directly compare or add indicators of different dimensions and scales, often leading to a single indicator dominating decision-making due to its dimensional or magnitude advantage. This results in non-transferable and non-generalizable problems under different wire diameters, exhaust capacities, and solvent evaporation backgrounds. Furthermore, it struggles to balance the risks of multidimensional coupling anomalies and extreme temperature differences. Our proposed solution first normalizes the thermal potential characteristic vector difference degree and the maximum absolute difference in thermal potential separately, then weights them to obtain a comprehensive difference value, with the weight of the thermal potential characteristic vector difference degree being greater than that of the maximum absolute difference in thermal potential. This normalization and weighting configuration ensures the comparability of the comprehensive difference value under different operating conditions and improves the algorithm's versatility under different specifications and production line conditions. Simultaneously, by prioritizing thermal-evaporation coupling anomalies and secondarily considering extreme thermal potential risks in the comprehensive judgment, it achieves a synergistic balance between safety and quality. Among them, normalization eliminates the differences in dimensions and scales, so that all indicators fall into the same comparable space; weighted synthesis allows multidimensional coupling deviation to be used as the dominant factor, which can better reflect the stability of film formation and volatilization, while retaining the thermal potential extreme value as a safety compensation term, so that a stable and interpretable comprehensive criterion can still be formed without relying on a fixed threshold.

[0016] Further, the determination of the maximum interval split point includes: in the comprehensive difference sorting sequence, calculating the difference between any two adjacent comprehensive difference values ​​as the adjacent difference interval value, and taking the adjacent position with the largest adjacent difference interval value as the maximum interval split point.

[0017] Existing technologies typically rely on fixed thresholds or manual experience to classify areas as suitable or unsuitable for spraying. However, these thresholds are difficult to stabilize over time due to shifts in operating conditions and batch variations, leading to difficulties in setting thresholds, susceptibility to misjudgments, and poor versatility. The solution described in this invention sorts the comprehensive difference values ​​of each temperature control zone into a sequence, calculates the adjacent difference interval between adjacent comprehensive difference values, and determines the adjacent position with the largest adjacent difference interval as the maximum interval dividing point to separate spraying and non-spraying areas. This achieves adaptive segmentation without the need for preset fixed thresholds, automatically determining the boundary between stable and abnormal region clusters based on the current data distribution. This makes spraying control more robust to environmental changes and more reproducible. Specifically, when a small number of abnormal regions exist, the comprehensive difference value sorting often exhibits a structure where stable regions are relatively dense and abnormal regions are relatively sparse, forming a clear interval between them. The maximum interval dividing point is equivalent to selecting a natural break in the data distribution; therefore, the data's own structure can be used for grouping, avoiding the drift and failure caused by fixed thresholds.

[0018] Furthermore, the sampling window includes: a set of multiple temperature values ​​collected within the same temperature control area and a VOC concentration sequence at multiple time points, wherein the set of multiple temperature values ​​contains at least three temperature sampling points and the VOC concentration sequence at multiple time points contains at least three time sampling points.

[0019] Furthermore, the length of the temperature control area is 0.5 meters to 1.5 meters; the sampling time interval is 1 minute to 5 minutes; and the second temperature environment is 30 degrees Celsius to 50 degrees Celsius.

[0020] Preferably, the temperature value is collected by an infrared thermal imager, and the VOC concentration is collected by a VOC sensor installed at the inlet of the cooling channel or the spraying channel.

[0021] Preferably, control commands are output to the non-sprayed area to adjust at least one of its process parameters, which should include at least one of the following: cooling waiting time, traction speed, exhaust volume, second temperature ambient temperature, start and stop time of alcohol melt layer spraying, alcohol melt layer spraying amount and / or atomization pressure.

[0022] Preferably, the remaining temperature control regions are replaced with a set of neighboring temperature control regions: the set of neighboring temperature control regions consists of at least one temperature control region that is adjacent to the current temperature control region in the length direction, thereby determining the difference degree of thermal potential feature vector and the maximum absolute difference of thermal potential based on the set of neighboring temperature control regions.

[0023] Preferably, the preset termination condition includes one of the following: reaching the preset maximum number of re-inspections; or the comprehensive difference value of the non-painted area no longer decreasing in at least two consecutive re-inspections; or the production line entering a preset safe shutdown state.

[0024] This invention also provides a universal self-adhesive enameled wire fabrication control system. The universal self-adhesive enameled wire fabrication control system includes: a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps in the universal self-adhesive enameled wire fabrication control method. The universal self-adhesive enameled wire fabrication control system can run on computing devices such as desktop computers, laptops, handheld computers, and cloud data centers. The runnable system may include, but is not limited to, processors, memory, and server clusters. The processor executes the computer program within the following system units: The data quantization unit is used to calculate the thermal potential value of each temperature control zone based on the temperature value within the sampling window; determine the regional average VOC concentration value and its volatility fluctuation of the temperature control zone based on the VOC concentration within the sampling window; and normalize the thermal potential value, regional average VOC concentration value and volatility fluctuation of each temperature control zone to form the thermal potential feature vector of the temperature control zone. The feature extraction unit is used to obtain the difference degree of thermal potential feature vector of each temperature control area based on the distance of thermal potential feature vector of each temperature control area, obtain the maximum absolute difference of thermal potential of each temperature control area based on the absolute difference of thermal potential value of each temperature control area, and combine the difference degree of thermal potential feature vector with the maximum absolute difference of thermal potential to obtain the comprehensive difference value of each temperature control area. The sorting and segmentation unit is used to sort the comprehensive difference values ​​to form a comprehensive difference sorting sequence, with the point where the adjacent interval in the comprehensive difference sorting sequence is the largest interval segmentation point. The determination segmentation unit is used to identify the temperature-controlled area after the maximum interval segmentation point as the non-spraying area, and to identify the temperature-controlled area before the maximum interval segmentation point as the spraying area and control it to enter the alcohol melt layer spraying.

[0025] Correspondingly, the present invention also provides an electronic device, a readable storage medium, and a computer program product: An electronic device includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the method for controlling the preparation of a general-purpose self-adhesive enameled wire and the method for each step therein.

[0026] A non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to cause the computer to perform the preparation control method for a general-purpose self-adhesive enameled wire and the methods for each step therein.

[0027] A computer program product includes a computer program that, when executed by a processor, implements the method for controlling the preparation of a general-purpose self-adhesive enameled wire and the methods for each step thereof.

[0028] The beneficial effects of this invention are as follows: This invention provides a universal method, system, and device for controlling the preparation of self-adhesive enameled wires. The method obtains the difference in thermal potential characteristic vectors of each temperature-controlled region based on the distance between their respective thermal potential characteristic vectors, and obtains the maximum absolute difference in thermal potential of each temperature-controlled region based on the absolute difference in their thermal potential values. The difference in thermal potential characteristic vectors and the maximum absolute difference in thermal potential are combined to form a comprehensive difference value for each temperature-controlled region. The comprehensive difference values ​​are sorted to form a comprehensive difference sorting sequence, with the point of maximum interval between adjacent regions in the comprehensive difference sorting sequence serving as the maximum interval dividing point. Temperature-controlled regions located after the maximum interval dividing point are identified as non-spraying regions, while temperature-controlled regions located before the maximum interval dividing point are identified as spraying regions and controlled to enter the alcohol melt layer spraying process. This method can stably screen out abnormal temperature-controlled regions and determine the spraying window, improving spraying consistency and reducing risk, thus achieving more robust control decisions. Attached Figure Description

[0029] The above and other features of the present invention will become more apparent from the detailed description of the embodiments shown in conjunction with the accompanying drawings. In the accompanying drawings, the same reference numerals denote the same or similar elements. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without any creative effort. In the drawings: Figure 1 The diagram shows a flowchart of a general-purpose self-adhesive enameled wire preparation control method; Figure 2 The diagram shows the system structure of a general-purpose self-adhesive enameled wire preparation and control system. Detailed Implementation

[0030] The following will provide a clear and complete description of the concept, specific structure, and technical effects of the present invention in conjunction with the embodiments and accompanying drawings, so as to fully understand the purpose, solution, and effects of the present invention. It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other.

[0031] In the description of this invention, "several" means one or more, "more than" means two or more, "greater than," "less than," and "exceeding" are understood to exclude the stated number, while "above," "below," and "within" are understood to include the stated number. The use of "first" and "second" in the description is merely for distinguishing technical features and should not be construed as indicating or implying relative importance, or implicitly indicating the number of indicated technical features, or implicitly indicating the order of the indicated technical features.

[0032] like Figure 1 The diagram shown is a flowchart of a general-purpose self-adhesive enameled wire preparation control method according to the present invention. The following is in conjunction with... Figure 1 This invention describes a method, system, and equipment for controlling the preparation of a general-purpose self-adhesive enameled wire according to embodiments of the present invention.

[0033] This invention proposes a general method for controlling the preparation of self-adhesive enameled wires. Based on multiple temperature control zones defined by the hot-melt layer, the method collects temperature values ​​and VOC concentrations for each temperature control zone, and establishes a sampling window for each temperature control zone. The method may include: Based on the temperature value within the sampling window, the thermal potential value of each temperature control zone is calculated; based on the VOC concentration within the sampling window, the regional average VOC concentration value and its volatility fluctuation of the temperature control zone are determined; the thermal potential value, regional average VOC concentration value and volatility fluctuation of each temperature control zone are normalized to form the thermal potential feature vector of the temperature control zone. The difference in thermal potential feature vectors of each temperature control zone is obtained based on the distance between them. The maximum absolute difference in thermal potential of each temperature control zone is obtained based on the absolute difference in thermal potential values ​​of each temperature control zone. The difference in thermal potential feature vectors and the maximum absolute difference in thermal potential are combined to obtain the comprehensive difference value of each temperature control zone. The comprehensive difference values ​​are sorted to form a comprehensive difference sorting sequence, and the point with the largest adjacent interval in the comprehensive difference sorting sequence is used as the maximum interval split point. The temperature-controlled area after the maximum interval division point is defined as the non-spraying area, and the temperature-controlled area before the maximum interval division point is defined as the spraying area and controlled to enter the alcohol melt layer spraying.

[0034] Furthermore, the thermal potential value is determined in the following manner: for each temperature control zone, the maximum value of the temperature value within the sampling window is taken as the highest temperature value of the zone, the minimum value of the temperature value within the sampling window is taken as the lowest temperature value of the zone, the average value of the temperature value within the sampling window is taken as the average temperature value of the zone, and the ratio of the difference between the highest temperature value and the lowest temperature value of the zone to the average temperature value of the zone is taken as the thermal potential value.

[0035] Furthermore, the average VOC concentration value of the region is the average value of the VOC concentration within the sampling window; the volatility fluctuation is determined by taking the difference between the maximum and minimum VOC concentrations within the sampling window, and using the ratio of this difference to the average VOC concentration value of the region as the volatility fluctuation.

[0036] Furthermore, the normalized thermal potential, normalized average VOC concentration, and normalized volatility fluctuation are obtained using a minimum-maximum normalization method. The minimum-maximum normalization method includes mapping the same type of parameter in each temperature control region to a value between zero and one, based on the minimum and maximum values ​​of the same type of parameter in the corresponding multiple temperature control regions.

[0037] Furthermore, the thermal potential feature vector difference is determined by the following method: for each temperature control region, the Euclidean distance between the thermal potential feature vector of that temperature control region and the thermal potential feature vectors of the other temperature control regions is calculated, and the average value of the Euclidean distance is determined as the thermal potential feature vector difference of that temperature control region.

[0038] Furthermore, the maximum absolute difference in thermal potential is determined in the following way: for each temperature control zone, the difference between the regional thermal potential value of the temperature control zone and the regional thermal potential values ​​of the other temperature control zones is calculated and the absolute value is taken. The maximum value among the absolute values ​​is taken as the maximum absolute difference in thermal potential of the temperature control zone.

[0039] Furthermore, the comprehensive difference value is determined by normalizing the thermal potential feature vector difference degree and the maximum absolute difference of thermal potential respectively, and then weighting the normalized thermal potential feature vector difference degree and the normalized thermal potential maximum absolute difference to obtain the comprehensive difference value, wherein the weight of the thermal potential feature vector difference degree is greater than the weight of the maximum absolute difference of thermal potential.

[0040] Further, the determination of the maximum interval split point includes: in the comprehensive difference sorting sequence, calculating the difference between any two adjacent comprehensive difference values ​​as the adjacent difference interval value, and taking the adjacent position with the largest adjacent difference interval value as the maximum interval split point.

[0041] Furthermore, the sampling window includes: a set of multiple temperature values ​​collected within the same temperature control area and a VOC concentration sequence at multiple time points, wherein the set of multiple temperature values ​​contains at least three temperature sampling points and the VOC concentration sequence at multiple time points contains at least three time sampling points.

[0042] Furthermore, the length of the temperature control area is 0.5 meters to 1.5 meters; the sampling time interval is 1 minute to 5 minutes.

[0043] In some embodiments, the solution described in this invention can be used in a double-layer self-adhesive enameled wire production line, wherein after the wire completes the hot melt layer film formation in a first temperature environment, it can enter a second temperature environment for cooling and evaporation control, and an alcohol melt layer can be sprayed onto the outer surface of the wire when conditions are met. Specifically, the production line includes a traction mechanism, a cooling channel, a spraying channel, and a controller. The cooling channel forms the second temperature environment, and the spraying channel is used to spray the alcohol melt layer onto the hot melt layer wire. The controller is communicatively connected to the following detection and execution elements: an infrared thermal imager, used to sample the temperature of the hot melt layer wire in the second temperature environment and output the temperature values ​​of multiple sampling points in each temperature control area; a VOC sensor, used to set sampling ports near the entrance of the cooling channel or the spraying channel and collect the VOC concentration corresponding to each temperature control area at time intervals; an atomizing nozzle, a spraying valve, and a paint supply pump, used to receive start / stop and spray volume control commands from the controller; an exhaust fan, for example, a frequency converter, used to receive airflow adjustment commands from the controller; and a traction motor, used to receive line speed adjustment commands from the controller. In this embodiment, the set temperature of the second temperature environment is 40 degrees Celsius, but it can be any set value within the range of 30 to 50 degrees Celsius. The time interval between temperature and VOC collection is 1 minute, but it can be 5 minutes. VOC concentration refers to the concentration of volatile organic compounds (VOCs) in a specific space, usually expressed as the mass of VOCs per unit volume or unit mass, such as mg / m³ or ppm. In this embodiment, only the dimensionless data of the pre-stored physical quantities can be input for calculation purposes.

[0044] First, the hot-melt layer obtained in the first temperature environment is divided into multiple temperature-controlled zones according to its length in the second temperature environment. In one embodiment, the continuous wire can be divided into 6 temperature-controlled zones, denoted as Z1 to Z6; the length of each temperature-controlled zone is 1 meter, for example, it can be 0.5 to 1.5 meters. A sampling window is established for each temperature-controlled zone: temperature sampling means randomly collecting 6 temperature sampling points in the temperature-controlled zone within a sampling window; VOC sampling means collecting 5 VOC concentration values ​​corresponding to the temperature-controlled zone at 1-minute intervals within a sampling window.

[0045] Next, for each temperature-controlled zone, the controller calculates the following parameters based on the temperature and VOC concentration values ​​within the sampling window: the highest temperature Cmax, lowest temperature Cmin, and average temperature Hmean can be obtained by taking the maximum, minimum, and average values ​​from the six temperature sampling points in that temperature-controlled zone, respectively. The thermal potential value HT1 can be obtained by dividing the difference between the highest and lowest temperatures by the average temperature. The average VOC value VS_mean can be obtained by taking the average of the five VOC concentration values ​​in that temperature-controlled zone. The volatility fluctuation VF can be obtained by dividing the difference between the maximum and minimum VOC values ​​within the sampling window of that temperature-controlled zone by the average VOC value.

[0046] This embodiment also provides the original data and calculation process for the first sampling window (time t0). In the calculation example for the first sampling window (t0), the temperature sampling data at time t0 is given (one zone is abbreviated as Z, each zone has 6 points, unit: degrees Celsius), specifically: the 6 temperature sampling points for Z1 are: 44.8, 45.2, 45.0, 44.6, 45.5, 44.9; the 6 temperature sampling points for Z2 are: 46.0, 46.4, 46.1, 45.8, 46.5, 46.2; the 6 temperature sampling points for Z3 are... The six temperature sampling points for Z4 are: 45.1, 45.5, 45.3, 44.9, 45.6, 45.2; for Z5, they are: 47.0, 47.6, 47.2, 46.8, 47.8, 47.1; for Z6, they are: 43.8, 44.4, 44.1, 43.6, 44.5, 43.9; and for Z6, they are: 48.5, 51.2, 49.9, 47.9, 52.0, 48.8. Taking Z6 as an example: the highest temperature Cmax is 52.0, the lowest temperature Cmin is 47.9, and the average temperature Hmean is 49.7167. The difference between the highest and lowest temperatures is 4.1. Dividing 4.1 by 49.7167 yields a thermal potential value HT1 of approximately 0.0825.

[0047] Similarly, the thermal potential values ​​of each temperature control zone were calculated as follows: HT1 of Z1 is 0.0200; HT1 of Z2 is 0.0152; HT1 of Z3 is 0.0155; HT1 of Z4 is 0.0212; HT1 of Z5 is 0.0204; and HT1 of Z6 is 0.0825.

[0048] Then, VOC sampling data at time t0 (5 points per zone, unit: ppm) were also provided, specifically: VOC sequence for Z1: 120, 110, 105, 102, 100; VOC sequence for Z2: 150, 145, 140, 138, 135; VOC sequence for Z3: 160, 155, 150, 148, 146; VOC sequence for Z4: 210, 198, 188, 182, 176; VOC sequence for Z5: 260, 235, 215, 205, 198; VOC sequence for Z6: 320, 360, 340, 370, 355. Taking Z6 as an example: the VOC average VS_mean is the average of 320, 360, 340, 370, and 355, calculated to be 349.0. The maximum VOC value is 370, the minimum value is 320, and the difference is 50; dividing 50 by 349.0 gives the volatility fluctuation (VF) of approximately 0.1433.

[0049] Similarly, the average VOC and volatility fluctuation of each temperature control zone were calculated as follows: Z1: VS_mean = 107.4, VF = 0.1862; Z2: VS_mean = 141.6, VF = 0.1059; Z3: VS_mean = 151.8, VF = 0.0922; Z4: VS_mean = 190.8, VF = 0.1782; Z5: VS_mean = 222.6, VF = 0.2785; Z6: VS_mean = 349.0, VF = 0.1433.

[0050] Then, for each temperature control zone, the thermal potential value HT1, the average VOC value VS_mean, and the volatility fluctuation VF are normalized to obtain nHT, nVS, and nVF, and the three are used to form a thermal potential feature vector.

[0051] In this embodiment, the normalization method can be a minimum-maximum normalization method using the minimum and maximum values ​​of each temperature control region in this round. Specifically, for any parameter X, first subtract the minimum value of X of each region in this round from the X of the temperature control region, and then divide by the difference between the maximum and minimum values ​​of X of each region in this round to obtain a normalization result between 0 and 1.

[0052] After normalization (t0), the results are as follows: Z6's nHT is 1.0000, Z6's nVS is 1.0000, and Z6's nVF is 0.2740; Z1's nHT is 0.0719, Z1's nVS is 0.0000, and Z1's nVF is 0.5045; Z5's nHT is 0.0783, Z5's nVS is 0.4768, and Z5's nVF is 1.0000. Therefore, the thermal potential eigenvector of Z6 can be expressed as (1.0000, 1.0000, 0.2740).

[0053] For each temperature control zone, calculate the vector difference degree (Dvec) between them. Calculate the Euclidean distance between the thermal potential characteristic vector of this zone and the thermal potential characteristic vectors of the other temperature control zones. The Euclidean distance is calculated by subtracting the three components, squared the differences, summing them, and then taking the square root of the sum. The average of the Euclidean distances between this temperature control zone and the other temperature control zones is then used to obtain the vector difference degree (Dvec) for that temperature control zone. For example, at time t0, the calculated Dvec values ​​are: Z4 = 0.5967; Z1 = 0.6840; Z2 = 0.6625; Z3 = 0.6966; Z5 = 0.9120; and Z6 = 1.2910.

[0054] For each temperature-controlled zone, the difference between its thermal potential value HT1 and the thermal potential values ​​HT1 of the other temperature-controlled zones is calculated, and the absolute value of the difference is taken. The maximum value among these absolute differences is taken as the thermal potential difference degree Dht of that temperature-controlled zone. For example, at time t0, the calculated Dht values ​​are: 0.0613 for Z4; 0.0625 for Z1; 0.0620 for Z5; 0.0670 for Z3; 0.0673 for Z2; and 0.0673 for Z6.

[0055] To construct the comprehensive difference value S, Dvec and Dht can be min-max normalized separately to obtain nDvec and nDht. Then, nDvec and nDht are combined to form the comprehensive difference value S. In this embodiment, to highlight the dominant role of the thermal-volatile coupling vector difference in anomaly identification, the comprehensive difference value S adopts the following linear combination method: nDvec is used as the first component, and nDht is used as the second component, with the weight of the first component greater than the weight of the second component. As an example, S is taken as nDvec plus 0.2 times nDht. At time t0, the calculated comprehensive difference values ​​S for each temperature control zone are as follows: Z4 is 0.0000; Z1 is 0.1646; Z2 is 0.2949; Z3 is 0.3339; Z5 is 0.4785; Z6 is 1.2000.

[0056] Preferably, the comprehensive difference values ​​of each temperature control zone are sorted in ascending order to form a difference sequence. The difference between the comprehensive difference values ​​of adjacent items in the difference sequence is calculated to obtain an adjacent difference sequence; the adjacent position with the largest difference in the adjacent difference sequence is selected as the dividing point.

[0057] The temperature-controlled area before the dividing point is identified as the spraying area that meets the spraying conditions, and the spraying of the alcohol melt layer is controlled. The temperature-controlled area after the dividing point is identified as the non-spraying area that does not meet the spraying conditions, and a waiting, parameter adjustment or re-inspection is performed before making a judgment.

[0058] At time t0, the overall difference values ​​are ranked as follows: Z4, Z1, Z2, Z3, Z5, Z6. The adjacent differences are as follows: The difference between Z4 and Z1 is 0.1646; the difference between Z1 and Z2 is 0.1303; the difference between Z2 and Z3 is 0.0390; the difference between Z3 and Z5 is 0.1446; and the difference between Z5 and Z6 is 0.7215.

[0059] The adjacent positions with the largest difference are between Z5 and Z6, so the dividing point is determined to be between Z5 and Z6.

[0060] Based on this, the controller determines that Z4, Z1, Z2, Z3, and Z5 are spraying areas and controls the spraying execution unit to spray the alcohol melt layer onto the corresponding line segments; it determines that Z6 is a non-spraying area and prohibits entry into the alcohol melt layer spraying area.

[0061] In some embodiments, examples of closed-loop parameter adjustment and re-inspection are also provided. Taking the second sampling window t1 as an example: for non-sprayed areas, such as Z6 in this embodiment, the controller outputs closed-loop parameter adjustment instructions to reduce the risks caused by localized volatilization accumulation and temperature unevenness, and to make them meet the subsequent spraying conditions. This embodiment provides a set of executable parameter adjustment actions as examples: increasing the exhaust air volume from 1200 cubic meters per hour to 1800 cubic meters per hour; decreasing the linear velocity from 30 meters per minute to 24 meters per minute; extending the waiting time for this area at the spraying inlet from 10 minutes to 18 minutes; after waiting and parameter adjustment, re-sampling the temperature and VOC in this area and recalculating the difference index.

[0062] At time t1, the sampling data obtained from the re-inspection of Z6 is as follows; the remaining areas can continue to be sampled in the same way for rolling reference. This embodiment demonstrates the effect of Z6: the 6 temperature sampling points of Z6 are: 45.0, 45.4, 45.2, 45.1, 45.5, 45.2; the VOC sequence of Z6 is: 200, 190, 182, 175, 170. Based on this, the highest temperature of Z6 is 45.5, the lowest temperature is 45.0, and the average temperature is 45.2333; the difference between the highest and lowest temperatures is 0.5, and dividing 0.5 by 45.2333 gives the thermal potential value HT1 of Z6 as 0.0111. The average VOC of Z6 is 183.4; the maximum VOC is 200, the minimum is 170, and the difference is 30, and dividing 30 by 183.4 gives the volatility fluctuation VF as 0.1636.

[0063] The controller recalculates, normalizes, and synthesizes the Dvec and Dht values ​​of each temperature-controlled region at time t1 into a comprehensive difference value S. Then, it determines the spraying area using the maximum breakpoint method. Based on the calculations, using the same comprehensive difference value construction method as at t0, the comprehensive difference values ​​S at time t1 are ranked as follows: Z2, Z3, Z4, Z1, Z6, Z5; the adjacent position with the largest difference is between Z6 and Z5. Therefore, Z6 is classified as part of the spraying area before the breakpoint, and the controller allows Z6 to enter the alcohol melt layer spraying, achieving closed-loop correction and spraying recovery for the previously non-sprayed areas.

[0064] The embodiment of this invention simultaneously collects the temperature and VOC concentration of the temperature-controlled area in a second temperature environment. Here, the thermal potential value, the average VOC value, and the volatility fluctuation are constructed into a thermal potential feature vector. Based on the vector difference and thermal potential difference between the temperature-controlled areas, a comprehensive difference value is formed. The maximum breakpoint method can be used to achieve adaptive segmentation of the spraying determination based on data. For temperature-controlled areas in an abnormally high-risk state, such as Z6 at time t0, the system can automatically classify it as a non-spraying area without relying on a fixed threshold and trigger closed-loop parameter adjustment of exhaust, line speed, and waiting time. In this way, after the temperature unevenness and volatilization enrichment in the area are suppressed in the re-inspection window, it can automatically return to the spraying area, thereby taking into account both safety and spraying quality consistency.

[0065] This invention, based on thermal potential value calculation for spraying control using temperature field, introduces VOC concentration acquisition to construct a thermal potential feature vector containing normalized thermal potential value, normalized VOC average value, and normalized volatility fluctuation. The spraying timing is then determined based on the vector differences and thermal potential differences between temperature-controlled regions. This technical solution solves the problem that when controlling solely with temperature thresholds or a single thermal potential threshold, it is difficult to identify abnormal regions caused by solvent evaporation and enrichment, and fluctuations in operating conditions, thus increasing the risk of spontaneous combustion or film quality fluctuations. Therefore, even under different line speeds, ventilation, and environmental conditions, such as in the preparation of cross-linked polyethylene insulated power cables, abnormal temperature-controlled regions can still be stably screened out and the spraying window determined, improving spraying consistency and reducing risk. Thermal potential reflects abrupt changes in temperature distribution, while VOC average value and fluctuation reflect evaporation enrichment and instability. Vectorizing these two values ​​and using inter-regional differences for relative determination can reduce the influence of absolute drift and achieve more robust control decisions.

[0066] The universal self-adhesive enameled wire preparation control system operates on any computing device, such as a desktop computer, laptop computer, handheld computer, or cloud data center. The computing device includes a processor, a memory, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, it implements the steps in the universal self-adhesive enameled wire preparation control method. The operable system may include, but is not limited to, a processor, a memory, and a server cluster.

[0067] The embodiments of the present invention provide a universal self-adhesive enameled wire preparation and control system, such as... Figure 2 As shown, a general-purpose self-adhesive enameled wire fabrication control system according to this embodiment includes: a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps in the above-described embodiment of a general-purpose self-adhesive enameled wire fabrication control method. The processor executes the computer program in the following system units: The data quantization unit is used to calculate the thermal potential value of each temperature control zone based on the temperature value within the sampling window; determine the regional average VOC concentration value and its volatility fluctuation of the temperature control zone based on the VOC concentration within the sampling window; and normalize the thermal potential value, regional average VOC concentration value and volatility fluctuation of each temperature control zone to form the thermal potential feature vector of the temperature control zone. The feature extraction unit is used to obtain the difference degree of thermal potential feature vector of each temperature control area based on the distance of thermal potential feature vector of each temperature control area, obtain the maximum absolute difference of thermal potential of each temperature control area based on the absolute difference of thermal potential value of each temperature control area, and combine the difference degree of thermal potential feature vector with the maximum absolute difference of thermal potential to obtain the comprehensive difference value of each temperature control area. The sorting and segmentation unit is used to sort the comprehensive difference values ​​to form a comprehensive difference sorting sequence, with the point where the adjacent interval in the comprehensive difference sorting sequence is the largest interval segmentation point. The determination segmentation unit is used to identify the temperature-controlled area after the maximum interval segmentation point as the non-spraying area, and to identify the temperature-controlled area before the maximum interval segmentation point as the spraying area and control it to enter the alcohol melt layer spraying.

[0068] In order to better unify the linear relationship and probabilistic connection between physical quantities with different units of measurement, dimensionless processing can be performed on different physical quantities.

[0069] Preferably, all undefined variables in this invention, if not explicitly defined, can be manually set thresholds.

[0070] The aforementioned universal self-adhesive enameled wire fabrication control system can operate on computing devices such as desktop computers, laptops, handheld computers, and cloud data centers. This system includes, but is not limited to, a processor and a memory. Those skilled in the art will understand that the examples described are merely illustrations of a universal self-adhesive enameled wire fabrication control method, system, and device, and do not constitute a limitation on such a method, system, and device. The system may include more or fewer components, or a combination of certain components, or different components. For example, the universal self-adhesive enameled wire fabrication control system may also include input / output devices, network access devices, buses, etc.

[0071] The present invention also provides an electronic device, a readable storage medium, and a computer program product: An electronic device includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the method for controlling the preparation of a general-purpose self-adhesive enameled wire and the method for each step therein.

[0072] A non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to cause the computer to perform the preparation control method for a general-purpose self-adhesive enameled wire and the methods for each step therein.

[0073] A computer program product includes a computer program that, when executed by a processor, implements the method for controlling the preparation of a general-purpose self-adhesive enameled wire and the methods for each step thereof.

[0074] The term "electronic device" is intended to refer to various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. Electronic devices can also refer to various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0075] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0076] The program code used to implement the methods of the present invention can be written in any combination of one or more programming languages. This program code can be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing device, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code can be executed entirely on the machine, partially on the machine, as a standalone software package partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0077] In the context of this invention, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. Machine-readable media can include, but are not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0078] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0079] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as a data server), or computing systems that include middleware components (e.g., an application server), or computing systems that include frontend components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with embodiments of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., a communication network). Examples of communication networks include local area networks (LANs), wide area networks (WANs), and the Internet.

[0080] Computer systems can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. Client-server relationships are created by computer programs running on the respective computers and having a client-server relationship with each other.

[0081] The processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete component gate circuits, transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor. This processor is the control center of the general-purpose self-adhesive enameled wire fabrication control system, connecting various sub-regions of the system via various interfaces and lines.

[0082] The memory can be used to store the computer program and / or modules. The processor, by running or executing the computer program and / or modules stored in the memory and calling the data stored in the memory, realizes various functions of the general-purpose self-adhesive enameled wire preparation control method, system, and device. The memory may mainly include a program storage area and a data storage area. The program storage area may store the operating system, at least one application program required for a function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created according to the use of the mobile phone (such as audio data, phonebook, etc.). In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, memory, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0083] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this disclosure can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution disclosed in this invention can be achieved, and this is not limited herein.

[0084] This invention provides a universal method, system, and device for controlling the preparation of self-adhesive enameled wire. The method obtains the difference in thermal potential characteristic vectors of each temperature-controlled region based on the distance between their respective thermal potential characteristic vectors. It also obtains the maximum absolute difference in thermal potential among the temperature-controlled regions based on the absolute difference in their thermal potential values. The difference in thermal potential characteristic vectors and the maximum absolute difference in thermal potential are combined to form a comprehensive difference value for each temperature-controlled region. These comprehensive difference values ​​are then sorted to form a comprehensive difference ranking sequence, with the point of maximum interval between adjacent regions in the sequence serving as the maximum interval dividing point. Temperature-controlled regions located after the maximum interval dividing point are designated as non-spraying regions, while those located before the maximum interval dividing point are designated as spraying regions and controlled to enter the alcohol melt layer spraying process. This method can reliably screen out abnormal temperature-controlled regions and determine the spraying window, improving spraying consistency and reducing risk, thus achieving more robust control decisions.

[0085] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for controlling the preparation of a universal self-adhesive enameled wire, comprising identifying multiple temperature control zones divided by the hot-melt layer line, collecting temperature values ​​and volatile organic compound (VOC) concentrations for each temperature control zone, and forming a sampling window for each temperature control zone, characterized in that, The method includes: Based on the temperature value within the sampling window, the thermal potential value of each temperature control zone is calculated; based on the VOC concentration within the sampling window, the regional average VOC concentration value and its volatility fluctuation of the temperature control zone are determined. The thermal potential value, average VOC concentration value and volatility fluctuation of each temperature control zone are normalized to form the thermal potential feature vector of the temperature control zone. The difference degree of thermal potential feature vector between each temperature control zone is obtained based on the relative difference between the thermal potential feature vectors of each temperature control zone. The maximum absolute difference of thermal potential between each temperature control zone is obtained based on the absolute difference between the thermal potential values ​​of each temperature control zone. The difference degree of thermal potential feature vector and the maximum absolute difference of thermal potential are combined to form the comprehensive difference value of each temperature control zone. The comprehensive difference values ​​are sorted to form a comprehensive difference sorting sequence, and the point with the largest adjacent interval in the comprehensive difference sorting sequence is used as the maximum interval split point. The temperature-controlled area after the maximum interval division point is designated as the non-spraying area, and the temperature-controlled area before the maximum interval division point is designated as the spraying area.

2. The method for controlling the preparation of a universal self-adhesive enameled wire according to claim 1, characterized in that, The thermal potential value is determined as follows: for each temperature control zone, the maximum temperature value within the sampling window is taken as the zone's highest temperature value, the minimum temperature value within the sampling window is taken as the zone's lowest temperature value, the average temperature value within the sampling window is taken as the zone's average temperature value, and the ratio of the difference between the zone's highest temperature value and the zone's lowest temperature value to the zone's average temperature value is taken as the thermal potential value.

3. The method for controlling the preparation of a universal self-adhesive enameled wire according to claim 1, characterized in that, The average VOC concentration in the region is the average VOC concentration within the sampling window; the volatility is determined by taking the difference between the maximum and minimum VOC concentrations within the sampling window and using the ratio of this difference to the average VOC concentration in the region as the volatility.

4. The method for controlling the preparation of a universal self-adhesive enameled wire according to claim 1, characterized in that, The normalized thermal potential, normalized average VOC concentration, and normalized volatility fluctuation are obtained using a minimum-maximum normalization method. The minimum-maximum normalization method includes mapping the same type of parameter in each temperature control region to a value between 0 and 1, based on the minimum and maximum values ​​of the same type of parameter in the corresponding multiple temperature control regions.

5. The method for controlling the preparation of a universal self-adhesive enameled wire according to claim 1, characterized in that, The thermal potential feature vector difference is determined as follows: for each temperature control zone, the Euclidean distance between the thermal potential feature vector of that temperature control zone and the thermal potential feature vectors of the other temperature control zones is calculated, and the average value of the Euclidean distance is determined as the thermal potential feature vector difference of that temperature control zone.

6. The method for controlling the preparation of a universal self-adhesive enameled wire according to claim 1, characterized in that, The maximum absolute difference in thermal potential is determined as follows: For each temperature control zone, the difference between the regional thermal potential value of the temperature control zone and the regional thermal potential values ​​of the other temperature control zones is calculated and the absolute value is taken. The maximum value among the absolute values ​​is taken as the maximum absolute difference in thermal potential of the temperature control zone.

7. A method for controlling the preparation of a general-purpose self-adhesive enameled wire according to any one of claims 1, 5, or 6, characterized in that, The comprehensive difference value is determined by normalizing the thermal potential feature vector difference degree and the maximum absolute difference of thermal potential, and then weighting the normalized thermal potential feature vector difference degree and the normalized thermal potential maximum absolute difference to obtain the comprehensive difference value, wherein the weight of the thermal potential feature vector difference degree is greater than the weight of the maximum absolute difference of thermal potential.

8. The method for controlling the preparation of a universal self-adhesive enameled wire according to claim 7, characterized in that, in, The determination of the maximum interval split point includes: in the comprehensive difference sorting sequence, calculating the difference between any two adjacent comprehensive difference values ​​as the adjacent difference interval value, and taking the adjacent position with the largest adjacent difference interval value as the maximum interval split point.

9. A method for controlling the preparation of a universal self-adhesive enameled wire according to any one of claims 1 to 3 or 5 to 6, characterized in that, The sampling window includes: a set of multiple temperature values ​​collected within the same temperature control area and a VOC concentration sequence at multiple time points, wherein the set of multiple temperature values ​​contains at least three temperature sampling points and the VOC concentration sequence at multiple time points contains at least three time sampling points.

10. A method for controlling the preparation of a universal self-adhesive enameled wire according to any one of claims 1 to 6, characterized in that, The length of the temperature control zone is 0.5 meters to 1.5 meters; the sampling time interval is 1 minute to 5 minutes.

11. A universal self-adhesive enameled wire preparation control system, characterized in that, The general-purpose self-adhesive enameled wire preparation control system operates on any computing device, such as a desktop computer, a laptop computer, or a cloud data center. The computing device includes a processor, a memory, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, it implements the steps in the general-purpose self-adhesive enameled wire preparation control method as described in any one of claims 1 to 10.

12. An electronic device, comprising: At least one processor; and a memory communicatively connected to the at least one processor; The memory stores instructions executable by the at least one processor, characterized in that the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 10.

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