A method and system for controlling the lamination temperature of tempered laminated glass

Abstract

The present invention relates to the field of temperature control technology, specifically a method and system for controlling the laminated glass temperature of tempered laminated glass. The method comprises the following steps: collecting the laminated glass temperature, recording the temperature readings and heating power in real time via sensors to generate a preliminary data record; and, based on the preliminary data record, continuously tracking temperature fluctuations and external disturbances using an extended state observer to generate state and disturbance estimates. By monitoring temperature and heating power in real time, the present invention enables continuous tracking of temperature fluctuations and external disturbances, while using the extended state observer to update state and disturbance estimates in real time, improving response speed and adjustment accuracy. Furthermore, a nonlinear state feedback control strategy dynamically adjusts the heating power based on current data. This adaptive regulation optimizes energy consumption and enhances overall system efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of temperature control, and in particular to a lamination temperature control method and system for tempered laminated glass. Background Art

[0002] The field of temperature control technology covers a range of methods and devices designed to maintain or adjust the temperature in industrial processes, equipment, and environments. This field uses sensors, control systems, feedback mechanisms, and other electronic devices to monitor and regulate temperature. In industrial applications, precise temperature control is crucial to ensuring product quality, optimizing energy efficiency, and improving production efficiency and safety. During the processing of the interlayer of tempered laminated glass, temperature control is required. However, in the existing technology, temperature control relies on static methods, which often lead to control delays when encountering sudden production variables or environmental disturbances, thereby affecting temperature control. For example, on high-speed production lines, it is difficult to effectively adapt to rapid changes in heating loads, resulting in processing defects or reduced energy efficiency. Summary of the Invention

[0003] The purpose of the present invention is to solve the shortcomings of the prior art and to propose a method and system for controlling the lamination temperature of tempered laminated glass.

[0004] In order to achieve the above object, the present invention adopts the following technical solution, a method for controlling the lamination temperature of tempered laminated glass, comprising the following steps:

[0005] Collecting laminate temperature and recording temperature readings and heating power in real time through sensors to generate a preliminary data record; based on the preliminary data record, continuously tracking temperature fluctuations and external disturbances using an extended state observer to generate state and disturbance estimates;

[0006] Designing a nonlinear state feedback control strategy based on the state and disturbance estimation, and generating adjusted control parameters by adjusting the heating power in real time;

[0007] Calculating the effect of the disturbance using the adjusted control parameters to generate a disturbance impact analysis result; designing a disturbance compensation mechanism based on the disturbance impact analysis result to offset the disturbance effect by adjusting the control input to generate a compensated output result;

[0008] Based on the compensated output result, adjustments are performed to maintain a predetermined temperature range and generate a temperature regulation result.

[0009] Preferably, the steps of obtaining the preliminary data record are:

[0010] The temperature of the laminated glass and the power of the heating equipment are monitored in real time by temperature sensors and power sensors, and each measurement data is recorded to obtain preliminary temperature and power data;

[0011] Based on the preliminary temperature data and power data, the data is integrated to generate a preliminary data record.

[0012] Preferably, the steps of obtaining the state and interference estimation are:

[0013] Based on the preliminary data records, an expansion state observer is used to monitor the data in real time, detect laminate temperature fluctuations and external interference, and obtain real-time monitoring results;

[0014] Based on the real-time monitoring results, the comprehensive interference index is calculated using the following formula:

[0015] ;

[0016] in, Representative Power readings, is the average value of the power readings, and Represents the highest and lowest temperature readings, and is the adjustment coefficient, is the comprehensive interference index, N is the total number of data points;

[0017] Based on the comprehensive interference index, the impact of external interference is evaluated to obtain a state and interference estimation.

[0018] Preferably, the steps of obtaining the adjusted control parameters are:

[0019] Based on the state and interference estimation, the adjusted heating power is calculated using the following formula:

[0020] ;

[0021] in, is the target temperature, is the current temperature, is the comprehensive interference index, , ,and is the adjustment coefficient, is the adjusted heating power;

[0022] Based on the adjusted heating power, the power setting of the heating device is adjusted in real time to obtain the adjusted control parameters.

[0023] Preferably, the steps of obtaining the interference impact analysis result are:

[0024] Based on the adjusted control parameters, the interference impact metric is calculated using the following formula:

[0025] ;

[0026] in, represents the response value, is the target response value, and is the adjustment parameter, A measure that represents the impact of interference;

[0027] Based on the interference impact metric, the interference impact is evaluated to obtain an interference impact analysis result.

[0028] Preferably, the steps of obtaining the output result after compensation are:

[0029] Determining key interference parameters based on the interference impact analysis results;

[0030] Based on the key interference parameters, the compensation output is calculated using the following formula:

[0031] ;

[0032] in, is the interference frequency, To compensate for the damping coefficient, is the variance of the interference, For time, For phase adjustment, is the compensation output;

[0033] Based on the compensation output, the control input is adjusted to offset the interference effect, thereby obtaining a compensated output result.

[0034] Preferably, the steps of obtaining the temperature adjustment result are:

[0035] Analyzing the temperature deviation and adjusting the heating power based on the output result after compensation;

[0036] Monitor the adjustment effect in real time and continuously track temperature changes until the temperature stabilizes within the predetermined range. Record the operation and temperature response during the adjustment process to obtain the temperature regulation result.

[0037] The present invention provides a temperature control system, comprising:

[0038] The data acquisition module reads the real-time temperature and heating power of the laminated glass through sensors and generates preliminary data records;

[0039] The state monitoring module uses an extended state observer to continuously track temperature fluctuations and external disturbances based on preliminary data records and generate state and disturbance estimates;

[0040] The feedback control module designs a nonlinear state feedback control strategy based on state and disturbance estimation, and generates adjusted control parameters by adjusting the heating power in real time;

[0041] The disturbance compensation module calculates the impact of disturbances on the adjusted control parameters, generates disturbance impact analysis results, designs a disturbance compensation mechanism, offsets the disturbance impact by adjusting the control input, and generates compensated output results;

[0042] The temperature maintenance module implements adjustment measures based on the compensated output results and generates temperature regulation results.

[0043] Compared with the prior art, the advantages and positive effects of the present invention are:

[0044] By monitoring temperature and heating power in real time, this invention continuously tracks temperature fluctuations and external disturbances. Using an extended state observer to update state and disturbance estimates in real time improves response speed and adjustment accuracy. Furthermore, a nonlinear state feedback control strategy dynamically adjusts heating power based on current data. This adaptive regulation optimizes energy consumption and improves overall system efficiency. By calculating the actual impact of disturbances and designing corresponding disturbance compensation mechanisms, temperature stability can be effectively maintained even under unstable environmental conditions, enhancing product quality and process safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 Schematic diagram of the steps of the present invention. DETAILED DESCRIPTION

[0046] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0047] See also Figure 1 The present invention provides a technical solution, a method for controlling the lamination temperature of tempered laminated glass, comprising the following steps:

[0048] The laminate temperature is collected, and the temperature readings and heating power are recorded in real time by sensors to generate a preliminary data record. Based on the preliminary data record, an extended state observer is used to continuously track temperature fluctuations and external disturbances to generate state and disturbance estimates.

[0049] According to the state and disturbance estimation, a nonlinear state feedback control strategy is designed to generate adjusted control parameters by adjusting the heating power in real time.

[0050] Using the adjusted control parameters, the impact of the disturbance is calculated to generate the disturbance impact analysis results; based on the disturbance impact analysis results, a disturbance compensation mechanism is designed to offset the disturbance impact by adjusting the control input to generate the compensated output results.

[0051] Based on the compensated output, adjustments are made to maintain the predetermined temperature range and generate a temperature control result.

[0052] The steps for obtaining preliminary data records are:

[0053] The temperature of the laminated glass and the power of the heating equipment are monitored in real time through temperature sensors and power sensors, and each measurement data is recorded to obtain preliminary temperature and power data;

[0054] Based on the preliminary temperature data and power data, the data is integrated to generate a preliminary data record.

[0055] Specifically, the data of the real-time temperature of the laminated glass and the real-time power of the heating equipment are obtained based on the temperature sensor and the power sensor. The temperature and power values ​​are recorded by setting a sampling frequency of six times per second, and each temperature reading is compared with the pre-established valid range. For example, the temperature value is compared with the to The temperature range is determined based on the test conditions and the requirements of the glass laminating process and is obtained after multiple stable tests. to The power range is set according to the equipment rated power and safety operation guidelines and is determined after multiple commissioning. If a temperature value exceeds , it is determined to exceed the preset upper limit. It is necessary to check the actual situation in combination with the glass characteristics. If an abnormal situation occurs, consult the emergency treatment strategy clearly marked in the equipment instructions. If a power reading exceeds , then use the same logic to compare with the safe power limit level provided by the manufacturer. It is necessary to further check whether the heating equipment has any faults or deviates from the settings. After recording all temperature and power measurement results, mark the values ​​within the valid range as normal data, and mark the data outside the range as abnormal data. Then, count and classify the normal data and abnormal data separately, and make further judgments on the time and value of the abnormal data to confirm whether it is caused by short-term fluctuations or equipment failure. If it is found that the abnormal situation persists for more than three sampling periods, it is considered as equipment malfunction, and it is necessary to combine more parameters for further analysis in subsequent steps. All temperature and power values ​​obtained and marked through this process are regarded as preliminary temperature data and power data.

[0056] Based on the preliminary temperature and power data obtained above, the temperature and power corresponding to the same timestamp are matched one-to-one. By reading these matched data and checking the integrity of the records at the corresponding time, the data rows with incomplete information are removed. Then, the data that meets the requirements are summarized in a differentiated manner, where the temperature part is aggregated into a temperature series and the power part is aggregated into a power series. The environmental parameter ranges collected in advance from the operation manual, such as atmospheric pressure, are also referred to. to ,humidity to , external space temperature to It is used to judge whether the external environment may be too hot or too humid during the recording process, causing additional fluctuations. If multiple records are found to have continuous atmospheric pressure exceeding Or the external temperature exceeds If there are any abnormalities, they will be further marked as high-risk environmental data. Subsequently, these classified and marked data will be merged to generate a continuous structure and numbered. The temperature change curve and power change curve corresponding to each number will be recorded, so as to finally obtain the integrated preliminary data record.

[0057] The steps for obtaining state and interference estimation are:

[0058] Based on the preliminary data records, the expansion state observer is used to monitor the data in real time, detect the laminate temperature fluctuation and external interference, and obtain real-time monitoring results;

[0059] Based on the real-time monitoring results, the comprehensive interference index is calculated using the following formula:

[0060] ;

[0061] in, Representative Power readings, is the average value of the power readings, and Represents the highest and lowest temperature readings, and is the adjustment coefficient, is the comprehensive interference index, N is the total number of data points;

[0062] Based on the comprehensive interference index, the impact of external interference is evaluated and the state and interference estimation are obtained.

[0063] Specifically, based on the preliminary data records, in the process of detecting laminate temperature fluctuations and external interference, it is necessary to establish a corresponding rule between temperature and external environment, retrieve the temperature readings and equipment operating status through the preliminary data records obtained above, and compare the temperature at each moment with the pre-set range, for example, the temperature can be limited to to This range is derived from the monitoring and collation of multiple operational practices in the production of glass laminated glass, and is obtained by referring to the applicable temperature range of the materials provided by the manufacturer. At the same time, the parameters that may affect the temperature are recorded. For example, if the external ambient temperature is detected to be between to range, and the air humidity is maintained at to During the process, it is also necessary to check the distance between the power output data and its rated power level to distinguish whether it is a short-term fluctuation or a long-term abnormality. If the temperature value deviates from the pre-established temperature range for multiple consecutive collection periods, the operation information of the heating equipment is checked and compared with the safe power threshold and temperature fluctuation threshold described in the equipment operation manual. These thresholds are determined based on statistical data such as the fault frequency and average temperature distribution recorded after the equipment has been running continuously for hundreds of hours. For example, when the temperature is significantly higher than the target temperature, it is necessary to check whether there is a local overheating source or the power output of the equipment exceeds the standard. If the power is found to be higher than the rated power, Large deviations require nearby observation of possible equipment heat dissipation failures. When external interference is detected, the interference frequency and amplitude need to be compared, and the fluctuation range set by the same method derived from on-site mapping and historical data analysis is used for judgment. If the fluctuation continuously touches the specified limit for more than two times, the period is recorded as a significant interference interval, and the temperature change characteristics are further verified in the subsequent analysis steps. After the above execution process, the correlation data between temperature and external interference are marked and classified in each time slice to confirm whether there are continuous fluctuations or intermittent anomalies. Finally, the temperature fluctuation information and external interference performance at each moment are integrated to obtain real-time monitoring results.

[0064] The benefit of the formula is that it takes into account the discrete degree of the equipment power reading and the maximum fluctuation range of the temperature by weighted superposition of the power fluctuation term and the temperature difference term. and These two adjustment coefficients can achieve a balance between the impact on the power level and the temperature level, and form a comprehensive interference index to indicate the overall interference level.

[0065] The acquisition steps are as follows: first, record the heating power data collected each time, count all power readings within a fixed time period, and obtain the sequence ,in It is obtained by multiplying the number of acquisitions per second by the total sampling time.

[0066] The steps to obtain are: Calculation is performed by sequentially adding all power values ​​in the sequence and dividing by , and get the average power value.

[0067] and and The acquisition steps are to filter the temperature reading sequence recorded at each sampling moment The maximum and minimum values ​​in the temperature sequence are consistent with the power sampling period to ensure a one-to-one correspondence.

[0068] and The specific value comes from the comparison between the equipment's historical test records and the material's temperature resistance data. The value of will fluctuate with the peak power of the heating equipment. The value will be adjusted according to the temperature sensitivity of different types of materials. Each value is compiled into a table through multiple rounds of production tests and the applicable value for the current material and equipment combination is selected.

[0069] Calculation process:

[0070] Will and Bring in and add them together, for example when When you calculate , if the sum is Then use As an approximation of the variance, we can get .

[0071] The maximum temperature of the collection , the minimum value is , absolute value of temperature difference ,like , ,but .

[0072] Adding the results together, we get .

[0073] The results show that when exist to When the power fluctuation and the maximum temperature difference are within a certain range, it can be regarded as a possibility of continuous fluctuation. Less than When the power fluctuation is relatively stable and the temperature difference is small, Greater than When the interference is greater than 0.

[0074] Based on the comprehensive interference index, in the process of evaluating the impact of external interference, it is necessary to compare the comprehensive interference index with the external influencing factors of each time period in the previous monitoring data, and query the change trend in the corresponding time period from the previously obtained temperature series and power series, and refer to the environmental parameter data recorded during multiple production tasks, such as the environmental humidity fluctuation range. to , External air flow fluctuation range to , the influence of wind speed that may cause heat loss, etc., by comparing the correlation between the comprehensive interference index and wind speed and humidity, and looking for the interaction relationship related to the above threshold in the comparison results. The threshold is proposed based on on-site mapping and actual workshop operation. It is usually stipulated that when the wind speed exceeds With humidity greater than When it is a high interference condition, it is necessary to interact with the temperature and power records measured multiple times before and check them together. In addition, check the rated environmental applicability range on the equipment nameplate. If the external interference factors exceed the normal range indicated on the nameplate multiple times, it is recorded as an abnormal period and further judged in combination with the corresponding interference index value. If the interference index value continues to rise on the dividing line derived above for multiple times, it is marked as an interval with severe environmental fluctuations, and additional on-site inspections are used to confirm the local ventilation conditions. If it is found again that the wind speed and humidity are still at the same high level, follow up and observe in the subsequent stage, aggregate this series of data in the recording process, and further sort out the characteristic curve in combination with the power fluctuation situation. Through the above execution process, the potential impact classification of external interference and the status and interference estimation of the corresponding time period are obtained.

[0075] The steps to obtain the adjusted control parameters are:

[0076] Based on the state and interference estimation, the adjusted heating power is calculated as follows:

[0077] ;

[0078] in, is the target temperature, is the current temperature, is the comprehensive interference index, , ,and is the adjustment coefficient, is the adjusted heating power;

[0079] Based on the adjusted heating power, the power setting of the heating device is adjusted in real time to obtain the adjusted control parameters.

[0080] Specifically, the formula is beneficial in that the cubic difference between the target temperature and the current temperature is combined with the interference index through a logarithmic function to introduce , , Multiple adjustment coefficients such as the above allow the adjustment of heating power to flexibly respond to the temperature deviation amplitude and comprehensive interference intensity.

[0081] The steps to obtain it are to record multiple temperature differences during the operation period of the equipment, and calculate the required heating power for different temperature difference levels. This coefficient is obtained through fitting analysis. The value will change with the equipment type and glass material properties.

[0082] The acquisition steps are as follows: based on the influence of the current temperature on the heating power, it is determined after comparing multiple batches of temperature and power matching data, and is used to measure the damping ratio of the temperature square term to power regulation.

[0083] The steps to obtain the comprehensive interference index obtained above are: By making a comparison over multiple time periods, the adjustment range is extracted through the distribution of fault frequency and interference fluctuation value, and compared with the interference sensitivity data provided by the manufacturer.

[0084] The acquisition step is to read the target temperature in the process setting, such as the target temperature usually selected in the glass lamination process. to In order to meet the softening requirements of the material, the specific target temperature can be retrieved from the process management plan during actual operation. If the process plan states that the current batch target temperature is , then it is recorded as .

[0085] The acquisition step is to use the temperature sensor to record the real-time temperature during the heating process, and extract the current temperature value from the continuous data. For example, when the temperature is detected at this moment ,but .

[0086] The acquisition steps are as follows: refer to the comprehensive interference index results calculated in the previous article, and update it in combination with the power fluctuation data of the heating equipment in a fixed period of time. , then this value is directly used in the calculation.

[0087] Calculation process:

[0088] by , and then take the cube of the difference to get .

[0089] set up The test value of was selected after statistical analysis. , The control results were selected as ,at this time , from which we can get the molecule , and then the denominator Substitute into the calculation to get .

[0090] right After sampling and analysis, the interference value is to Selection within the scope ,at this time , .

[0091] Multiply the results to get kW.

[0092] The results show that when kW, it is necessary to increase the current power output by about kW heating can make appropriate compensation for the temperature. If the temperature difference and interference index continue to change in the subsequent moments, the same formula can be used for recalculation and real-time update.

[0093] When adjusting the power setting of the heating equipment in real time based on the adjusted heating power, it is necessary to combine the previously obtained The value is compared with the safe power range indicated on the nameplate of the heating equipment. For example, the recommended power range of the equipment under rated working conditions is kW to kW, compare the current power output with the above range and check the temperature to If the current power is found to be within the safety range After exceeding kW, you need to immediately check the registered equipment maintenance records and pay attention to whether the heat dissipation conditions meet the requirements. If there is a continuous increase in temperature and a rapid increase in power during the process, combine the previously obtained temperature fluctuation records to analyze whether there is a local fault or a large deviation. If it exceeds the power limit value provided by the manufacturer, you should immediately conduct troubleshooting. If the power setting is still within the safe range, record the current configuration data and continue to collect temperature values ​​every few seconds and compare the temperature difference changes. When it is observed that the temperature difference has narrowed to the level marked in the operating specifications, If the power is within the range, perform power fine-tuning and confirm whether the adjustment amount meets the daily process requirements from the power statistics. The real-time control data are numbered and saved, and the adjusted control parameters are obtained through the execution process.

[0094] The steps to obtain the interference impact analysis results are:

[0095] Based on the adjusted control parameters, the interference impact metric is calculated using the following formula:

[0096] ;

[0097] in, represents the response value, is the target response value, and is the adjustment parameter, A measure that represents the impact of interference;

[0098] Based on the interference impact measurement, the interference impact is evaluated to obtain the interference impact analysis result.

[0099] Specifically, the benefit of the formula is that the proportional term between the response value and the target response value is amplified by an exponential function, and at the same time, an oscillation effect is generated by taking the square root of the difference between the two using a sine function, thereby taking into account the combined effects of proportional amplification and nonlinear differences when measuring interference.

[0100] The acquisition steps are to continuously record the real-time response value of the system during the heating or production process, and arrange the recorded data in time sequence so that each key moment corresponds to a response value. For example, a set of response value sequences are collected in process monitoring, and the response value corresponding to the current moment is marked as .

[0101] The acquisition steps are as follows: referring to the target response reference value set in the process link, through the ideal response range defined by the control parameters obtained above, the target response value is clearly defined in the production plan or process description of each batch. For example, the target response value in the current batch production is In the management plan document, it is recorded as .

[0102] The acquisition steps are to analyze the ratios between multiple different response values ​​and target values, and summarize them in combination with the response offset under the same external interference conditions. After forming a data sequence, the weighted average method is used to determine the adjustment range, and then the value with higher process matching degree is selected from the range.

[0103] The acquisition steps are as follows: by monitoring the historical data of random disturbances in the equipment, statistically analyzing the periodicity of the vibration amplitude and summarizing it into a certain range, and then selecting the oscillation coefficient in the current situation after comparing it with the typical oscillation frequency range provided by the manufacturer, and recording it as .

[0104] Calculation process:

[0105] Collected to this moment The observed value of (Read by the real-time monitoring system and compare and analyze the temperature and equipment status at the same time), check the current production plan to know .

[0106] Substitute the above values ​​into , in the selected Perform exponential operation under the conditions and get .

[0107] For the difference , take the square root of this value and we get , in the confirmed In the range, get , and then calculate .

[0108] Subtract the results, .

[0109] The results show that when When the interference impact is in the low range, if the value is greater than If the value is close to or less than This means that the contribution of the current difference to the interference effect tends to be less obvious.

[0110] Based on the measurement of interference impact, in the process of evaluating interference impact, it is necessary to read the previously obtained The value is compared with the interference conditions recorded at different stages in history, and a threshold range for dividing the degree of interference is determined by referring to the statistical results of multiple production cycles. For example, in the early test, the threshold range is summarized based on the equipment power fluctuation and process response deviation. The range is to , and the technical information submitted by the manufacturer also includes additional interference classification suggestions, such as when Exceed It is a high-risk zone and needs to be analyzed in combination with the previously recorded external temperature and power readings to analyze potential faults or serious external interference sources. in to When the temperature is between 0 and 1, it is a moderate interference condition. The continuity of temperature change can be further compared to determine whether the system has fluctuations that can recover by itself. Lower than It can be considered that the interference is relatively limited. At this time, if you find that Rising to near or above , you should also check whether there are drastic changes in the local environment, such as strong winds, insufficient heat dissipation, or other changes that exceed the pre-marked atmospheric pressure range. If multiple comparison results show If the device still remains at a high level, it is determined that there is a significant disturbance in the operation of the equipment during the corresponding period and marked as a high priority problem. If it is found in the monitoring data later If it falls back to the medium-low range, a low warning sign will be issued for the status of this period. After completing the above process, the interference indicators at each time point are comprehensively analyzed and merged horizontally to obtain the interference impact analysis results.

[0111] The steps to obtain the output results after compensation are:

[0112] Determine key interference parameters through interference impact analysis results;

[0113] Based on the key interference parameters, the compensation output is calculated using the following formula:

[0114] ;

[0115] in, is the interference frequency, To compensate for the damping coefficient, is the variance of the interference, For time, For phase adjustment, is the compensation output;

[0116] Based on the compensation output, the control input is adjusted to offset the interference effect and obtain the compensated output result.

[0117] Specifically, through the interference impact analysis results, it is necessary to search the existing records for the synchronous changes of the interference fluctuation indicators and the equipment temperature and power at each moment, and combine the interference frequency and amplitude ranges recorded in multiple production data. First, read and compare the pre-established effective range, such as comparing the interference fluctuation degree with the numerical range of 0 to 10, the temperature value with the range of 0℃ to 90℃, and the power with the range of 0kW to 20kW. If it is found that the statistical value of the interference fluctuation exceeds the aforementioned range many times, then retrieve the earlier environmental data and fault information for correlation comparison, and refer to additional parameters such as humidity and airflow given by the workshop environmental sensors to identify the possible source of the interference. If these additional parameters also remain relatively stable within the established range, continue to verify whether there are hidden fluctuations caused by equipment aging or mechanical wear, and at the same time compare the interference data collected multiple times with the interference data sequence in the normal production stage in history. The differences are compared among the columns, and the high-frequency components or mutation points of the interference are marked. For example, when the interference values ​​collected at certain moments are much higher than the average level of the same time period and are repeated multiple times, the period is marked as a suspicious section. Then, a longitudinal query is performed on the temperature and power curves in this section to check whether the same high-amplitude fluctuations or multiple deviations from the rated values ​​occur. After confirming that these differences are not single random fluctuations, by interacting with the interference impact analysis results obtained previously, the time periods with high fluctuation characteristics and related equipment conditions are summarized. Then, it is evaluated whether there are characteristic correlations or significant peaks between the temperature readings and power outputs in these time periods. If confirmed, this pattern is recorded and provides a basis for the identification of key interference parameters. Finally, based on the fluctuation intensity and frequency of each time period, the monitoring indicators that are determined to trigger abnormalities or significant fluctuations in this process are extracted and named as key interference parameters.

[0118] The benefit of the formula is that it incorporates both the interference frequency term and the interference variance term, and with the help of the damping coefficient and phase correction, the compensation output can correspond to the actual interference distribution in both the frequency domain and the oscillation characteristics.

[0119] The acquisition steps are to read the main interference frequency value obtained after performing spectrum analysis on the interference signal during the interference monitoring process, and calibrate it with reference to the accumulated interference frequency distribution diagram under multiple batches of production conditions.

[0120] The acquisition steps are to record the energy dissipation of the equipment at different times, compare and integrate information such as power, temperature change rate and mechanical loss during the operating period, and obtain a value reflecting the damping characteristics. After multiple screening, the compensation damping coefficient is obtained.

[0121] The steps for obtaining are to perform variance calculation on the key interference parameters identified above, accumulate the square of the difference between each interference fluctuation and its average value and divide it by the number of data points to obtain the interference variance value.

[0122] The acquisition step is to start timing from the current moment or use the existing timestamp record, obtain the corresponding time point in each sampling period and keep increasing it, which is used to calibrate the change process of the compensation output over time.

[0123] The acquisition step is to determine it by observing the phase difference between the interference signal and the compensation signal during multiple rounds of comparison. During the calculation process, the offset between the time when the interference peak appears and the compensation peak is statistically calculated, and the phase adjustment value is selected from the statistical distribution.

[0124] Calculation process:

[0125] The interference frequency Bring in , for example when rad / s, obtained by summing the device damping and interference statistical variance , then the ratio of the numerator and denominator is , and then square the result to get .

[0126] Will Set as And (This value is determined by multiple phase analysis), so ,calculate .

[0127] Multiply the results to get .

[0128] The results show that when The compensation output at this moment can produce a targeted adjustment effect in accordance with the interference fluctuation situation obtained previously. If the subsequent interference frequency or interference variance increases further, the compensation output can be adjusted according to the new or Repeat the above operation and update the value .

[0129] In the process of adjusting the control input to offset the influence of interference based on the compensation output, it is necessary to first check the previously obtained compensation output value and correspond it to the power range or temperature correction amount listed on the equipment nameplate. For example, for power-type interference, a feasible compensation amount can be matched within the range of 0kW to 20kW. If the corrected total power brought by the current compensation output remains within 20kW, then record this operation step and continue to monitor the comparison changes between power and temperature every thirty seconds to find out whether there is a continued increase or frequent fluctuations. If it is found that the compensation amount in certain periods causes the temperature to exceed the 90°C upper limit marked in the previous process guidance, it is necessary to verify the possible spread range of the interference source and refer to the ambient temperature range of 0°C to 40°C and the humidity range of 0% to 100%. Basic data is used to determine whether there is overheating or uneven cooling caused by excessive wind speed. If high temperatures are monitored for multiple acquisition cycles and the compensation value exceeds the manufacturer's recommended empirical threshold (this empirical threshold is derived from the statistical results of the temperature-power correspondence relationship across multiple rounds of testing), a more detailed thermal distribution inspection is subsequently performed and the corresponding power cap is maintained to reduce the probability of overshoot. If the compensated output remains generally stable or exhibits only minor short-term fluctuations during the statistical process, this acquisition period is classified as normal. Further comparison is made with historical records under the same process flow to determine whether further input adjustment is required during this period. Finally, after comparing the results of all monitoring nodes with the compensation value, the resulting control input changes are listed as the final compensated output result.

[0130] The steps to obtain the temperature adjustment results are:

[0131] Based on the compensated output results, analyze the temperature deviation and adjust the heating power;

[0132] Monitor the adjustment effect in real time and continuously track temperature changes until the temperature stabilizes within the predetermined range. Record the operation and temperature response during the adjustment process to obtain the temperature regulation result.

[0133] Specifically, based on the previously obtained compensated output results, combined with the marked temperature and power fluctuation data, the temperature deviation information of each time node in the output results is read, and the temperature range established in the operating specifications is compared one by one, for example, the temperature is compared with the to The range is compared, this range comes from the safe operation section confirmed after multiple tests on the glass lamination process, and the power is compared kW to The trend of change within the kW range is determined based on the rated power value on the equipment nameplate and on-site operation statistical data. When the temperature deviation exceeds a specific threshold (this threshold is obtained by monitoring multiple rounds of heating processes, for example, after analyzing the relationship between equipment operation stability and finished product quality, it is statistically determined that the temperature deviates from the target temperature by more than Product defects are more likely to occur when the temperature is too high, so this value is included in the threshold). It is necessary to further check the correlation between the heating power and the temperature difference. If the temperature is repeatedly sampled high and exceeds the threshold, the previously summarized ambient humidity and airflow level are immediately read to confirm whether there are extreme changes in the external environment, such as humidity above 40°C. Or wind speed exceeds When the temperature deviation continues to rise, the heating power adjustment strength is increased and the corresponding parameter adjustment amount is recorded in the system. If the temperature gradually returns to the target temperature after multiple sampling, the temperature will return to the target temperature. If the temperature deviation is within the specified range, maintain the current power setting and continue to observe. If the temperature deviation shifts to a lower value, reduce the power output and track the synchronization between temperature and power in the following time interval. If the temperature shows repetitive and large fluctuations in any period, it is necessary to verify the possible interference source again and make a judgment based on the overload indicators listed in the device working principle manual. During the process, it is also necessary to check whether there is any mechanical component failure or current abnormality. These verification results are compared with the compensated output results obtained previously and the operation is carried out iteratively. Finally, during this execution process, the temperature and power data are compared, the temperature deviation analysis is completed, and the heating power is adjusted.

[0134] To monitor the adjustment effect in real time, first use a sampling frequency of six times per second to obtain the current temperature reading and power output information, and compare it with the previously determined temperature reference range to and power rating range kW to kW, each time a record is collected, check whether the temperature is significantly positive or negative compared to the target temperature. If three consecutive data are higher than the target temperature set in advance during the process evaluation, If the deviation limit is exceeded, query the equipment operation report and compare it with the mechanical heat dissipation requirements recorded in the operation process. If the wind speed or cooling conditions of the heat dissipation system are found to be not within the limits obtained in the previous statistics, to If the temperature continues to fluctuate around the target temperature and the power fluctuation remains within the rated range, the collection period is registered as normal and subsequent data are tracked. During the tracking period, if a power increment is greater than the unit safety power correction value provided by the manufacturer (the correction value is obtained after long-term observation of equipment operation, generally between kW to kW range), cross-check whether there is a significant jump in the temperature readings during this period and associate it with possible external interference records. When the temperature gradually drops back to the predetermined range specified in the process specification and the monitored records all show stability, the temperature change and power change data of this period are fully recorded. Then, the flatness and duration of the temperature curves in each sampling segment before and after are compared. If there are no abnormalities, it is considered that this round of adjustment has come to an end and all adjustment processes and temperature responses of this time period are merged into the overall monitoring log to obtain the temperature adjustment result.

[0135] The present invention provides a temperature control system, comprising:

[0136] The data acquisition module reads the real-time temperature and heating power of the laminated glass through sensors and generates preliminary data records;

[0137] The state monitoring module uses an extended state observer to continuously track temperature fluctuations and external disturbances based on preliminary data records and generate state and disturbance estimates;

[0138] The feedback control module designs a nonlinear state feedback control strategy based on state and disturbance estimation, and generates adjusted control parameters by adjusting the heating power in real time;

[0139] The disturbance compensation module calculates the impact of disturbances on the adjusted control parameters, generates disturbance impact analysis results, designs a disturbance compensation mechanism, offsets the disturbance impact by adjusting the control input, and generates compensated output results;

[0140] The temperature maintenance module implements adjustment measures based on the compensated output results and generates temperature regulation results.

[0141] The above are merely preferred embodiments of the present invention and do not limit the present invention in any other form. Any technician familiar with the profession may use the technical content disclosed above to change or modify it into an equivalent embodiment with equivalent changes and apply it to other fields. However, any simple modification, equivalent change and modification made to the above embodiment based on the technical essence of the present invention without departing from the content of the technical solution of the present invention shall still fall within the scope of protection of the technical solution of the present invention.

Claims

1. A method for controlling the lamination temperature of tempered laminated glass, characterized in that: The following steps are involved: Collecting laminate temperature and recording temperature readings and heating power in real time through sensors to generate a preliminary data record; based on the preliminary data record, continuously tracking temperature fluctuations and external disturbances using an extended state observer to generate state and disturbance estimates; Designing a nonlinear state feedback control strategy based on the state and disturbance estimation, and generating adjusted control parameters by adjusting the heating power in real time; Calculating the impact of interference using the adjusted control parameters to generate interference impact analysis results; Based on the interference impact analysis results, a disturbance compensation mechanism is designed to offset the interference impact by adjusting the control input to generate a compensated output result; Based on the compensated output result, adjusting to maintain a predetermined temperature range and generating a temperature regulation result; The steps for obtaining the state and interference estimation are: Based on the preliminary data records, an expansion state observer is used to monitor the data in real time, detect laminate temperature fluctuations and external interference, and obtain real-time monitoring results; Based on the real-time monitoring results, the comprehensive interference index is calculated using the following formula: in, Representative Power readings, is the average value of the power readings, and Represents the highest and lowest temperature readings, and is the adjustment coefficient, is the comprehensive interference index, N is the total number of data points; Based on the comprehensive interference index, evaluating the impact of external interference to obtain a state and interference estimation; The steps for obtaining the adjusted control parameters are: Based on the state and interference estimation, the adjusted heating power is calculated using the following formula: in, is the target temperature, is the current temperature, is the comprehensive interference index, , , and are adjustment coefficients, is the adjusted heating power; Based on the adjusted heating power, the power setting of the heating device is adjusted in real time to obtain the adjusted control parameters.

2. The method for controlling the lamination temperature of tempered laminated glass according to claim 1, wherein: The steps for obtaining the preliminary data record are: The temperature of the laminated glass and the power of the heating equipment are monitored in real time through temperature sensors and power sensors, and each measurement data is recorded to obtain preliminary temperature and power data; Based on the preliminary temperature data and power data, the data is integrated to generate a preliminary data record.

3. The method for controlling the lamination temperature of tempered laminated glass according to claim 1, wherein: The steps for obtaining the interference impact analysis result are: Based on the adjusted control parameters, the interference impact metric is calculated using the following formula: in, represents the response value, is the target response value, and is the adjustment parameter, A measure that represents the impact of interference; Based on the interference impact metric, the interference impact is evaluated to obtain an interference impact analysis result.

4. The method for controlling the lamination temperature of tempered laminated glass according to claim 1, wherein: The steps for obtaining the output result after compensation are as follows: Determining key interference parameters based on the interference impact analysis results; Based on the key interference parameters, the compensation output is calculated using the following formula: in, is the interference frequency, To compensate for the damping coefficient, is the variance of the interference, For time, For phase adjustment, is the compensation output; Based on the compensation output, the control input is adjusted to offset the interference effect, thereby obtaining a compensated output result.

5. The method for controlling the lamination temperature of tempered laminated glass according to claim 1, wherein: The steps for obtaining the temperature adjustment result are: Analyzing the temperature deviation and adjusting the heating power based on the output result after compensation; Monitor the adjustment effect in real time and continuously track temperature changes until the temperature stabilizes within the predetermined range. Record the operation and temperature response during the adjustment process to obtain the temperature regulation result.

6. The temperature control system of the method for controlling the lamination temperature of tempered laminated glass according to any one of claims 1 to 5, characterized in that: include: The data acquisition module reads the real-time temperature and heating power of the laminated glass through sensors and generates preliminary data records; The state monitoring module uses an extended state observer to continuously track temperature fluctuations and external disturbances based on preliminary data records and generate state and disturbance estimates; The feedback control module designs a nonlinear state feedback control strategy based on state and disturbance estimation, and generates adjusted control parameters by adjusting the heating power in real time; The disturbance compensation module calculates the impact of disturbances on the adjusted control parameters, generates disturbance impact analysis results, designs a disturbance compensation mechanism, offsets the disturbance impact by adjusting the control input, and generates compensated output results; The temperature maintenance module implements adjustment measures based on the compensated output results and generates temperature regulation results.

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