Laminating temperature control method and system for tempered laminated glass

Abstract

The invention relates to the technical field of temperature control, in particular to a laminated temperature control method and system for tempered laminated glass, and the method comprises the following steps: collecting the laminated temperature, recording the temperature reading and the heating power in real time through a sensor, and generating a preliminary data record; based on the preliminary data records, an extended state observer is used to continuously track temperature fluctuations and external disturbances, and state and interference estimates are generated. The temperature fluctuation and the external interference can be continuously tracked by monitoring the temperature and the heating power in real time, the state and the interference estimation are updated in real time by using the expansion state observer, and the reaction speed and the adjustment precision are improved. In addition, according to the nonlinear state feedback control strategy, the heating power is dynamically adjusted according to current data, and by means of the self-adaptive adjusting mode, energy consumption is optimized, and the overall efficiency of the system is improved.

Description

Technical Field

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

[0002] The technical field of temperature control encompasses a series of methods and devices aimed at maintaining or adjusting the temperature in industrial processes, equipment, and environments. This field utilizes sensors, control systems, feedback mechanisms, and other electronic devices to monitor and regulate temperature. In industrial applications, precise temperature control is crucial for ensuring product quality, optimizing energy efficiency, improving production efficiency, and enhancing safety. When laminating tempered laminated glass, it is necessary to control the temperature during processing. However, in the prior art, temperature control relies on static methods, which often lead to control delays when encountering sudden production variables or environmental disturbances, thereby affecting the temperature control. For example, on a high-speed production line, it is difficult to effectively adapt to rapid changes in heating load, resulting in processing defects or decreased energy efficiency. Summary of the Invention

[0003] The object of the present invention is to solve the drawbacks existing in the prior art, and to propose a method and system for controlling the laminating temperature of tempered laminated glass.

[0004] To achieve the above object, the present invention adopts the following technical solution. A method for controlling the laminating temperature of tempered laminated glass includes the following steps: Collect the laminating temperature, record the temperature readings and heating power in real time through sensors, and generate preliminary data records; based on the preliminary data records, use an extended state observer to continuously track temperature fluctuations and external disturbances, and generate state and disturbance estimates; According to the state and disturbance estimates, design a non-linear state feedback control strategy, and generate adjusted control parameters by adjusting the heating power in real time; Utilize the adjusted control parameters to calculate the influence of the disturbance, and generate an analysis result of the disturbance influence; according to the analysis result of the disturbance influence, design a disturbance compensation mechanism, and generate a compensated output result by adjusting the control input to offset the disturbance influence; Based on the compensated output result, implement adjustments to maintain a predetermined temperature range, and generate a temperature adjustment result.

[0005] Preferably, the step of obtaining the preliminary data records is as follows: Monitor the temperature of the laminated glass and the power of the heating device in real time through a temperature sensor and a power sensor, record each measurement data, and obtain preliminary temperature data and power data; Based on the preliminary temperature data and power data, integrate the data to generate preliminary data records.

[0006] Preferably, the steps for obtaining the state and interference estimation are as follows: Based on the preliminary data record, use an extended state observer to monitor the data in real time, detect the temperature fluctuation of the laminated glass and external interference, and obtain the real-time monitoring result; Based on the real-time monitoring result, calculate the comprehensive interference index, and the calculation formula is: ;

[0007] where, represents the th power reading, is the average value of the power readings, and represent the highest and lowest temperature readings respectively, and are adjustment coefficients, is the comprehensive interference index, N is the total number of data points; Based on the comprehensive interference index, evaluate the impact of external interference to obtain the state and interference estimation.

[0008] Preferably, the steps for obtaining the adjusted control parameters are as follows: Based on the state and interference estimation, calculate the adjusted heating power, and the calculation formula is: ;

[0009] where, 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, adjust the power setting of the heating device in real time to obtain the adjusted control parameters.

[0010] Preferably, the steps for obtaining the interference impact analysis result are as follows: Based on the adjusted control parameters, calculate the measure of the interference impact, and the calculation formula is: ;

[0011] where, represents the response value, is the target response value, and are adjustment parameters, represents the measure of the interference impact; Based on the measure of the interference impact, evaluate the impact of the interference to obtain the interference impact analysis result.

[0012] Preferably, the steps for obtaining the compensated output result are as follows: Determine the key interference parameters based on the interference impact analysis result; Calculate the compensation output based on the key interference parameters, and the calculation formula is: ;

[0013] where, is the interference frequency, is the compensation damping coefficient, is the variance of the interference, is the time, is the phase adjustment, is the compensation output; Adjust the control input based on the compensation output to cancel the interference impact, and obtain the compensated output result.

[0014] Preferably, the steps for obtaining the temperature adjustment result are as follows: Analyze the temperature deviation based on the compensated output result and adjust the heating power; Monitor the adjustment effect in real time, continuously track the temperature change until the temperature is stable within a predetermined range, record the operations and temperature responses during the adjustment process, and obtain the temperature adjustment result.

[0015] The present invention provides a temperature control system, including: A data acquisition module that reads the real-time temperature and heating power of the laminated glass through sensors and generates preliminary data records; A state monitoring module that uses an extended state observer to continuously track the temperature fluctuation and external interference based on the preliminary data records and generates state and interference estimates; A feedback control module that designs a non-linear state feedback control strategy according to the state and interference estimates, and generates adjusted control parameters by adjusting the heating power in real time; A disturbance compensation module that calculates the impact of the interference in the adjusted control parameters, generates an interference impact analysis result, designs a disturbance compensation mechanism, and cancels the interference impact by adjusting the control input to generate a compensated output result; A temperature maintenance module that implements adjustment measures based on the compensated output result and generates a temperature adjustment result.

[0016] Compared with the prior art, the advantages and positive effects of the present invention are as follows: By monitoring the temperature and heating power in real time, the present invention can continuously track temperature fluctuations and external disturbances, and use an extended state observer to update the estimation of the state and disturbances in real time, improving the reaction speed and adjustment accuracy. In addition, the non-linear state feedback control strategy dynamically adjusts the heating power according to the current data, and this adaptive adjustment method optimizes the energy consumption and enhances the overall efficiency of the system. By calculating the actual impact of the disturbances and designing a corresponding disturbance compensation mechanism, it ensures that the temperature can be effectively maintained stable even under unstable environmental conditions, improving the product quality and process safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a schematic diagram of the steps of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0018] In order to make the objectives, technical solutions and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0019] Please refer to Figure 1 , the present invention provides a technical solution, a method for controlling the laminating temperature of tempered laminated glass, including the following steps: Collect the laminating temperature, record the temperature readings and heating power in real time through sensors, and generate preliminary data records; based on the preliminary data records, use an extended state observer to continuously track temperature fluctuations and external disturbances, and generate state and disturbance estimations.

[0020] According to the state and disturbance estimations, design a non-linear state feedback control strategy, and generate adjusted control parameters by adjusting the heating power in real time.

[0021] Using the adjusted control parameters, calculate the impact of the disturbances, and generate an analysis result of the disturbance impact; according to the analysis result of the disturbance impact, design a disturbance compensation mechanism, and offset the disturbance impact by adjusting the control input to generate a compensated output result.

[0022] Based on the compensated output result, implement the adjustment to maintain a predetermined temperature range and generate a temperature adjustment result.

[0023] The steps for obtaining the preliminary data records are as follows: Real-time monitor the temperature of the laminated glass and the power of the heating device through a temperature sensor and a power sensor, record each measurement data, and obtain preliminary temperature data and power data; Based on the preliminary temperature data and power data, integrate the data to generate preliminary data records.

[0024] Specifically, based on the data content of the real-time temperature of the laminated glass and the real-time power of the heating device obtained by the temperature sensor and the power sensor, the sampling frequency of six times per second is set to record the temperature and power values, and each temperature reading is compared with the pre-established effective range. For example, the temperature value is compared with the range from to . This temperature range is formulated according to the test conditions and the requirements of the glass laminating process and obtained after multiple stable tests. At the same time, the power value is compared with the range from to . This power range is established according to the rated power of the equipment and the safety operation guidelines and determined after multiple debuggings. If a certain temperature value exceeds , it is determined to exceed the preset upper limit, and the actual situation needs to be checked in combination with the glass characteristics. If an abnormal situation occurs, the emergency disposal strategy clearly marked in the equipment instructions is further queried. If a certain power reading exceeds , the safety power limit level provided by the manufacturer is compared according to the same logic, and it is necessary to further check whether there is a failure or deviation from the setting of the heating device. After recording all the temperature and power measurement results, the values that fall within the effective range are marked as normal data, and the data that exceeds the range are marked as abnormal data. Subsequently, the normal data and abnormal data are respectively statistically analyzed and classified, and the time and value of the abnormal data are further determined to confirm whether it is caused by short-term fluctuations or equipment failures. If it is found that the abnormal situation lasts for more than three sampling periods, it is determined that the equipment is malfunctioning, and more parameters need to be combined for further analysis in the subsequent steps. All the temperature and power values obtained and marked through this process are regarded as preliminary temperature data and power data.

[0025] Based on the preliminary temperature data and power data obtained previously, the temperature and power corresponding to the same timestamp are matched one by one. By reading these matched data and checking the record integrity at the corresponding moment, the data rows with incomplete information are removed. Then, the qualified data are summarized in a differentiated manner. The temperature part is aggregated into a temperature sequence, and the power part is aggregated into a power sequence. With reference to the environmental parameter ranges collected from the operation manual in advance, such as atmospheric pressure from to , humidity from to , external space temperature from to , etc., to determine whether there may be additional fluctuations caused by overheating or excessive humidity in the external environment during the recording process. If it is found that the atmospheric pressure exceeds or the external temperature exceeds continuously in multiple recordsIf there are abnormalities such as etc., it is further marked as high-risk environment data. Subsequently, these classified and marked data are merged to generate a continuous structure and numbered, and the corresponding temperature change curve and power change curve under each number are recorded, so as to finally obtain the integrated preliminary data record.

[0026] The steps to obtain the state and interference estimation are as follows: Based on the preliminary data record, use an extended state observer to monitor the data in real time, detect the temperature fluctuation of the laminated glass and external interference, and obtain the real-time monitoring result; Based on the real-time monitoring result, calculate the comprehensive interference index. The calculation formula is: ;

[0027] Where, represents the th power reading, is the average value of the power readings, and represent the highest and lowest temperature readings respectively, and are adjustment coefficients, is the comprehensive interference index, and N is the total number of data points; Based on the comprehensive interference index, evaluate the impact of external interference to obtain the state and interference estimation.

[0028] Specifically, in the process of detecting the temperature fluctuation of the laminated glass and external interference based on the preliminary data record, it is necessary to establish a corresponding rule between the temperature and the external environment, retrieve the temperature readings and the operating state of the equipment through the preliminary data record obtained previously, and compare the temperature at each moment with the preset range. For example, the temperature can be limited between and . This range is obtained from the monitoring and collation of multiple operation practices in the production of glass laminates and is obtained by referring to the applicable temperature range of the materials provided by the manufacturer. At the same time, record the parameters that may affect the temperature externally, such as detecting that the external environmental temperature is in the range of to , and the air humidity is maintained between and Within, during the process, it is also necessary to check the distance between the power output data and its rated power level to distinguish between short-term fluctuations and long-term anomalies. If the temperature values deviate from the pre-set temperature range for multiple consecutive acquisition periods, then check the operating information of the heating equipment and compare it with the safety power threshold and temperature fluctuation threshold described in the equipment operation manual. These thresholds are determined based on statistical data such as the failure 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 overheat source or whether the equipment power output exceeds the standard. If it is found that the power deviates significantly above the rated power, it is necessary to observe the possible equipment heat dissipation failure nearby. When external interference is detected, it is necessary to compare the interference frequency and interference amplitude, and use the fluctuation range set from the on-site mapping and historical data analysis to make a judgment. If the fluctuations continuously touch the specified limit more than twice, then record this period as a significant interference interval, and further check the temperature change characteristics in the subsequent analysis steps. After the above execution process, the associated data of temperature and external interference are marked and classified in each time slice, and it is confirmed whether there are continuous fluctuations or intermittent anomalies. Finally, the temperature fluctuation information and external interference performance at each moment are integrated to obtain the real-time monitoring result.

[0029] The benefit of the formula is that by weighted superposition of the power fluctuation term and the temperature difference term, it takes into account both the discreteness of the equipment power readings and the maximum fluctuation amplitude of the temperature, and uses and These two adjustment coefficients can achieve the balance of the influence on the power level and the temperature level, and form a comprehensive interference index to indicate the overall interference degree.

[0030] The acquisition steps of are as follows. First, record the heating power data collected each time, and count all the power readings within a fixed time period to obtain the sequence , where is obtained by multiplying the number of acquisitions per second by the total sampling duration.

[0031] The acquisition steps of are as follows. Use for calculation. By successively adding all the power values in the sequence and dividing by , the average power value is obtained.

[0032] and and The acquisition steps of are as follows. Screen the maximum and minimum values of the temperature reading sequence recorded at each sampling moment respectively. This temperature sequence is consistent with the power sampling period, ensuring a one-to-one correspondence.

[0033] and The specific value of is derived from the comparison between the historical test records of the equipment and the temperature resistance performance data of the material. The value of will fluctuate with the change of the peak power of the heating equipment, and the value of

[0034] Calculation process: Bring and into and add them together. For example, when , first calculate one by one. If the sum obtained is , then use as the approximate value of the variance, and then take the square root to get .

[0035] Collect the maximum temperature value such as , the minimum temperature value such as , the absolute value of the temperature difference . If , , then .

[0036] Add the results together to get .

[0037] This result indicates that when is between and , it can be regarded that the power fluctuation and the maximum temperature difference are within a certain range and may still continue to fluctuate. When is less than , it means that the power fluctuation is relatively stable and the temperature difference is small. When is greater than , it indicates that the degree of interference may be more significant.

[0038]

[0038] In the process of evaluating the influence of external interference based on the comprehensive interference index, it is necessary to compare the comprehensive interference index with the external influence factors in each time period of the previous monitoring data, and query the change trend in the corresponding time period from the temperature sequence and power sequence obtained above. Refer to the environmental parameter data recorded during multiple production tasks, such as the environmental humidity fluctuation range to , the 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 aforementioned threshold in the comparison results. This threshold is proposed based on on-site mapping and actual workshop operations. Usually, it is stipulated that when the wind speed exceeds and is accompanied by humidity greater than , it is a high-interference condition. It is necessary to cross-check with the temperature and power records measured multiple times before, and in addition, check the rated environmental application scope in the equipment nameplate. If the external interference factors exceed the normal range marked 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 continuously rises above the previously derived boundary line for multiple times, it is marked as an interval of severe environmental fluctuations, and an additional on-site inspection method is 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, it will be followed up and observed in the subsequent stage, and this series of data will be aggregated in the recording process, and the characteristic curve will be further sorted out in combination with the power fluctuation situation. Through the above implementation process, the potential impact level of external interference and the status and interference estimation of the corresponding period are obtained.

[0039] The steps to obtain the adjusted control parameters are as follows: Based on the status and interference estimation, calculate the adjusted heating power. The calculation formula is: ;

[0040] Among them, 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, adjust the power setting of the heating equipment in real time to obtain the adjusted control parameters.

[0041] Specifically, the benefit of the formula is to combine the cubic variance value between the target temperature and the current temperature with the interference index through a logarithmic function, and introduce , , and other adjustment coefficients, so that the adjustment of the heating power can flexibly respond to the temperature deviation amplitude and the comprehensive interference intensity.

[0042] The steps to obtain are as follows: Record the temperature difference situation multiple times during the equipment operation period, and count the required heating power for different temperature difference levels, and obtain this coefficient through fitting analysis. The value will change with the equipment type and the characteristics of the glass material.

[0043] The acquisition steps are as follows: in combination with the influence law of the current temperature on the heating power, it is determined after comparing the temperature and power matching data of multiple batches, and is used to measure the damping ratio of the temperature square term to the power regulation.

[0044] The acquisition steps are as follows: for the comprehensive interference index obtained previously Make multi-period comparisons, extract the adjustment range through the distribution of the fault occurrence frequency and the interference fluctuation value, and compare it with the interference sensitivity data provided by the manufacturer.

[0045] The acquisition steps are as follows: read the target temperature in the process setting. For example, in the glass laminating process, usually select to section to meet the material softening requirements. In actual operation, the specific target temperature can be retrieved from the process management plan. If the target temperature of the current batch is specified as in the process plan, then record it as .

[0046] The acquisition steps are as follows: use a temperature sensor to record the real-time temperature during the heating process, and extract the temperature value at the current moment from the continuous data. For example, when the detected temperature at this moment is , then .

[0047] The acquisition steps are as follows: refer to the result of the comprehensive interference index calculated previously, and update it in combination with data such as the power fluctuation of the heating equipment within a fixed period. When the latest calculated is obtained, then directly use this value to participate in the operation here.

[0048] Calculation process: Take , and then take the cube of this difference to get .

[0049] Let The test value of is selected as after statistical analysis, The comparison result of is selected as . At this time , from which the numerator can be obtained. Then, substitute the denominator into the calculation to get .

[0050] For , after sampling and analyzing, for the case where the interference value is in the range of to , select At this time , .

[0051] Multiply the results to obtain kW.

[0052] This result indicates that when kW, it is necessary to increase the heating supply by approximately kW on the basis of the original power output at the current moment to moderately compensate for the temperature. If the temperature difference and the interference index continue to change at subsequent moments, the same formula can be referred to for recalculation and real-time update.

[0053] When adjusting the power setting of the heating equipment in real time based on the adjusted heating power, it is necessary to combine the value obtained previously and compare it with the safety power range clearly stated on the nameplate of the heating equipment. For example, the recommended power range of this equipment under rated working conditions is kW to kW. Compare the current power output with the aforementioned range and query the safety range of the temperature between and . If it is found that the current power plus exceeds kW, it is necessary to immediately check the registered equipment maintenance records and pay attention to whether the heat dissipation conditions meet the requirements. During the process, if the temperature continues to rise and the power shows a sign of rapid increase, analyze whether there is a local fault or a large deviation in combination with the previously obtained temperature fluctuation records. If it exceeds the power limit value provided by the manufacturer, immediate fault troubleshooting should be carried out. If the power setting is still within the safety range, record the current configuration data and continue to collect the temperature value every few seconds and compare the temperature difference changes. When it is observed that the temperature difference has narrowed to or less pre-marked in the operation specification, perform a power fine-tuning operation and confirm whether the adjustment amount meets the daily process requirements from the power statistics. Finally, number and save the real-time control data based on to obtain the adjusted control parameters through this execution process.

[0054] The steps to obtain the interference impact analysis result are as follows: Based on the adjusted control parameters, calculate the measure of the interference impact. The calculation formula is: ; where represents the response value, is the target response value, and are the adjustment parameters, represents the measure of the interference impact; Based on the measurement of the interference impact, evaluate the interference impact to obtain the interference impact analysis result.

[0055] Specifically, the advantage of the formula is that the ratio term between the response value and the target response value is amplified by an exponential function, and at the same time, the sine function is used to take the square root of the difference between the two to produce an oscillation effect, so that the combined effects of ratio amplification and non-linear difference are taken into account when measuring interference.

[0056] The acquisition steps of are as follows: during the heating or production process, continuously record the real-time response value of the system, and arrange the recorded data in time series so that a response value corresponds to each critical moment. 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 .

[0057] The acquisition steps of 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 previously, clarify the target response value in each batch production plan or process description. For example, the target response value in the current batch production is If it is recorded in the management plan document, it is recorded as .

[0058] The acquisition steps of are as follows: by analyzing the ratios between multiple different response values and the target value, and combining the response offset situations under the same external interference conditions for summarization, after forming a data sequence, use the weighted average method to determine the adjustment range, and then select a value with a higher process matching degree for this time from this range.

[0059] The acquisition steps of are as follows: by monitoring the historical data of random disturbances in the equipment, statistically analyze the periodicity of the vibration amplitude and summarize it into a certain interval, and after comparing the typical oscillation frequency range provided by the manufacturer, select the oscillation coefficient in the current situation and record it as .

[0060] Calculation process: Collect the observed value of at this moment , let (obtained by reading from the real-time monitoring system and performing comparison and analysis of temperature and equipment status at the same moment), referring to the current production plan, it can be known that .

[0061] Substitute the above values into , and perform exponential operation under the selected conditions to obtain .

[0062] For the difference , take the square root of this value to get , within the confirmed range, obtain , and then calculate .

[0063] Subtract the results, .

[0064] This result indicates that when , the interference influence degree is in the low range. If the value is greater than it indicates that the interference degree may be stronger. If the value is close to or less than it means that the contribution of the current difference to the interference influence tends to be insignificant.

[0065] Based on the measurement of the interference influence, during the process of evaluating the interference influence, it is necessary to read the value obtained previously and make a vertical comparison with the interference situations recorded at different historical stages. Determine a threshold range for dividing the interference degree with reference to the statistical results within multiple production cycles. For example, in the previous tests, according to the equipment power fluctuation and the deviation degree of the process response, it is summarized that the range is between and , and in the technical materials submitted by the manufacturer, there are also additional interference classification suggestions. For example, when exceeds it is a high-risk range, and it is necessary to analyze potential faults or severe external force interference sources in combination with the previously recorded external temperature and power readings. When is in to it is a medium interference condition, and the continuity of temperature change can be further compared to determine whether there are fluctuations that can recover by themselves in the system. When is lower than it can be considered that the interference is relatively limited. At this time, if it is found that the in the occasional acquisition period rises again to be close to or exceed , it is also necessary to check whether there are sudden changes in the local environment, such as strong wind, insufficient heat dissipation, or other atmospheric pressure change ranges exceeding the previously marked ones. If the results of multiple comparisons show that still continues at a high level, it is determined that there are significant disturbances in the operation of the equipment during the corresponding period and it is marked as a high-priority problem. If it is found in the subsequent monitoring data that falls back to the medium-low range, a lower warning sign is given to the status of that period. After completing the above process, the interference indicators at each time point are comprehensively combined and horizontally merged to obtain the interference influence analysis result.

[0066] The steps to obtain the compensated output result are as follows: Determine the key interference parameters by analyzing the interference impact on the results. Based on the key interference parameters, calculate the compensation output, and the calculation formula is: ;

[0067] where, is the interference frequency, is the compensation damping coefficient, is the variance of the interference, is the time, is the phase adjustment, is the compensation output; Based on the compensation output, adjust the control input to offset the interference impact and obtain the compensated output result.

[0068] Specifically, through the interference impact analysis results, it is necessary to search for the synchronous changes of the interference fluctuation index with the equipment temperature and power at each moment in the existing records, and combine the interference frequency and amplitude intervals recorded in multiple production data. First, read and compare with the pre-established effective range. For example, compare the interference fluctuation degree with the numerical interval of 0 to 10, compare the temperature value with the interval of 0°C to 90°C, and compare the power with the interval of 0 kW to 20 kW. If it is found that the statistical value of the interference fluctuation exceeds the above range multiple times, then retrieve the earlier environmental data and fault information for correlation comparison, and refer to the additional parameters such as humidity and air flow given by the workshop environment sensors to identify the possible sources of interference. If these additional parameters also remain relatively stable within the established interval, then continue to verify whether there are hidden fluctuations caused by equipment aging or mechanical wear, etc. At the same time, compare the interference data collected continuously with the interference data sequence in the normal production stage in history, and mark the high-frequency components or mutation points of the interference. For example, when the interference values at some moments collected are much higher than the average level in the same time period and appear repeatedly, then mark this time period as a suspicious section, and then combine the longitudinal query of the temperature and power curves in this section to check whether there are the same high-amplitude fluctuations or multiple deviations from the rated value. After confirming that these differences are not single random fluctuations, through the interaction with the interference impact analysis results obtained earlier, summarize the time periods with high fluctuation characteristics and the related equipment operating conditions, and then evaluate whether there are characteristic correlations or significant peaks in the temperature readings and power outputs during these time periods. If it is confirmed that there are, record this rule and provide a basis for the identification of key interference parameters. Finally, based on the fluctuation intensity and occurrence frequency of each time period, extract the monitoring indicators that are determined to trigger abnormalities or significant fluctuations in this process and name them as key interference parameters.

[0069] 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.

[0070] The acquisition steps are as follows: read the main interference frequency value obtained from the spectrum analysis of the interference signal during the interference monitoring process, and calibrate it with reference to the interference frequency distribution map accumulated under multiple batches of production conditions.

[0071] The acquisition steps are as follows: 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 operation period to obtain a value reflecting the damping characteristics, and then obtain this compensation damping coefficient through multiple screenings.

[0072] The acquisition steps are as follows: perform a variance operation on the key interference parameters identified previously, accumulate the squares of the differences between each interference fluctuation amount and its average value, and divide by the number of data points to obtain the interference variance value.

[0073] The acquisition steps are as follows: start timing from the current moment or use the existing timestamp record, obtain the corresponding time points within each sampling period and keep them increasing, for calibrating the change process of the compensation output over time.

[0074] The acquisition steps are as follows: determine by observing the phase difference between the interference signal and the compensation signal during multiple rounds of comparison, calculate the offset between the moment when the interference wave peak appears and the compensation wave peak during the calculation process, and select the phase adjustment value from this statistical distribution.

[0075] Calculation process: Bring the interference frequency into , for example, when rad / s, obtain by summing the equipment damping and the interference statistical variance, then the ratio of the numerator to the denominator is , and take the square root of this result to obtain .

[0076] Set as and take (this value is determined through multiple phase analyses), make , calculate .

[0077] Multiply the results to get .

[0078] This result indicates that when At this time, the compensation output can produce a targeted adjustment effect in cooperation with the interference fluctuation situation obtained previously. If the subsequent interference frequency or interference variance further increases, then according to the new or value, repeat the above operations and update .

[0079] During the process of adjusting the control input to offset the interference effect 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 in the equipment nameplate. For example, for power-type interference, a feasible compensation amount can be matched within the range of 0 kW to 20 kW. If the corrected total power brought by the current compensation output still remains within 20 kW, record this operation step and continuously monitor the comparison change between power and temperature every thirty seconds to find out whether there is a continuous increase or frequent fluctuation. If it is found that the temperature exceeds the upper limit of 90 °C marked in the previous process guidance during certain periods due to the compensation amount, it is necessary to check the possible diffusion range of the interference source and refer to the basic data in the environmental temperature range of 0 °C to 40 °C and the humidity range of 0% to 100% to determine whether there is a phenomenon of uneven heat dissipation caused by overheating or excessive wind speed. When it is monitored that the temperature remains high for multiple acquisition cycles and the compensation value exceeds the empirical threshold recommended by the manufacturer (this empirical threshold is derived from the statistical results of the temperature-power correspondence relationship of multiple rounds of tests), then conduct a more detailed heat distribution inspection in the follow-up and maintain the corresponding power upper limit to reduce the overshoot probability. If the compensation output shows overall stability or only a small amount of short-term fluctuations during the statistical process, classify this part of the acquisition period into the normal range, and further compare with the historical records under the same process flow to confirm whether the input needs to be adjusted continuously at this time. Finally, after aggregating the comparison results of all monitoring nodes and compensation values, list the obtained control input change situation as the final output result after compensation.

[0080] The steps to obtain the temperature adjustment result are as follows: Based on the output result after compensation, analyze the temperature deviation and adjust the heating power; Real-time monitor the adjustment effect, continuously track the temperature change until the temperature stabilizes within the predetermined range, record the operations and temperature responses during the adjustment process, and obtain the temperature adjustment result.

[0081] Specifically, based on the output result after compensation obtained previously, combined with the marked temperature and power fluctuation data, read the temperature deviation information of each time node in this output result, and compare it item by item with the temperature range established in the operation specification. For example, compare the temperature with the to range. This range comes from the safe operation section confirmed after multiple tests on the glass laminating process. At the same time, compare the power between kW and The change trend within the kW range, which is comprehensively formulated based on the rated power value on the equipment nameplate and on-site operation statistical data. When the detected temperature deviation exceeds a specific threshold (this threshold is obtained through multi-round heating process monitoring. For example, after analyzing the correlation between equipment operation stability and product quality, it is statistically found that when the temperature deviates from the target temperature by more than product defects are likely to occur, so this value is included in the threshold), it is necessary to further check the correlation degree between the heating power and the temperature difference. If the temperature is continuously sampled higher multiple times and has exceeded this threshold, immediately read the previously summarized environmental humidity and air flow level to confirm whether there are extreme external environmental changes, such as humidity higher than or wind speed exceeding a safety check is carried out after referring to the equipment anti-interference list provided by the material manufacturer. If the temperature deviation continues to rise, increase the heating power adjustment intensity and record the corresponding parameter adjustment amount in the system. If the temperature gradually returns to the target temperature within after multiple samplings, maintain the current power setting and continue to observe. If the temperature deviation shifts towards a lower value, reduce the power output and track the synchronization between temperature and power in the next time interval. If the temperature shows repeated large fluctuations at any time, re-verify the possible interference sources and make a determination in combination with the overload indicators listed in the device working principle manual. During the process, it is also necessary to check whether there are mechanical component failures or abnormal currents, etc. Compare these verification results with the previously obtained compensated output results and continuously iterate and run. Finally, during this execution process, compare the temperature and power data and complete the analysis of the temperature deviation, and adjust the heating power.

[0082] Real-time monitor the adjustment effect. First, obtain the current temperature readings and power output information at a sampling frequency of six times per second, and compare with the previously determined temperature reference range to and the power rated range kW to kW. For each collected record, check whether the temperature shows a large positive or negative deviation compared to the target temperature. If three consecutive data points are higher than the deviation limit set in the previous process evaluation session, query the equipment operation report and compare the mechanical heat dissipation requirements recorded in the operation process. If it is found that the wind speed or cooling conditions of the heat dissipation system are not within the to range obtained previously, mark this period as a potential risk. If the temperature continuously fluctuates near the target temperature and the power fluctuation degree remains within the rated range, register this collection cycle as a normal state and continue to track the subsequent data. During the tracking period, if the power increment in a certain time is greater than the unit safety power correction value provided by the manufacturer (this correction value is obtained through long-term observation of the equipment operation and is generally located between kW to If the power is within the range of [[kW]] (kW range), cross-check whether there are obvious jumps in the temperature readings during this period and correlate them with possible external interference records. When the temperature gradually drops back to the predetermined range specified in the process specifications and several monitored records all show stability, completely record the data of the temperature change and power change during this period. Subsequently, compare the smoothness and duration of the temperature curves in each sampling segment before and after. If there are no abnormalities, it is determined that this round of adjustment is over, and all adjustment processes and temperature responses during this time period are merged into the overall monitoring log to obtain the temperature adjustment result.

[0083] The present invention provides a temperature control system, including: A data acquisition module that reads the real-time temperature and heating power of laminated glass through sensors and generates preliminary data records; A state monitoring module that uses an extended state observer to continuously track temperature fluctuations and external interference based on the preliminary data records and generates state and interference estimates; A feedback control module that designs a non-linear state feedback control strategy according to the state and interference estimates and generates adjusted control parameters by adjusting the heating power in real time; A disturbance compensation module that calculates the influence of interference in the adjusted control parameters, generates an analysis result of the interference influence, designs a disturbance compensation mechanism, and generates a compensated output result by adjusting the control input to cancel the interference influence; A temperature maintenance module that implements adjustment measures based on the compensated output result and generates a temperature adjustment result.

[0084] The above are only the preferred embodiments of the present invention, and do not limit the present invention in other forms. Any person skilled in the art may use the technical content disclosed above to make changes or modifications into equivalent embodiments with equivalent changes and apply them to other fields. However, as long as it does not depart from the technical solution content of the present invention, any simple modification, equivalent change, and modification made to the above embodiments based on the technical essence of the present invention still fall within the protection scope 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 the laminate temperature, recording the temperature reading and heating power in real time through sensors, and generating a preliminary data record; based on the preliminary data record, using an extended state observer to continuously track temperature fluctuations and external disturbances, and generating state and disturbance estimates; 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; Utilizing the adjusted control parameters, calculating the impact of interference and generating interference impact analysis results; According to 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, adjustment is performed to maintain a predetermined temperature range and generate a temperature adjustment result.

2. The method for controlling the lamination temperature of tempered laminated glass according to claim 1, characterized in that: 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 data 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, characterized in that: The steps of 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 temperature fluctuations and external interference of the laminated rubber, 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, the impact of external interference is evaluated to obtain state and interference estimation.

4. The method for controlling the lamination temperature of tempered laminated glass according to claim 1, characterized in that: 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 is the adjustment coefficient, 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.

5. The method for controlling the lamination temperature of tempered laminated glass according to claim 1, characterized in that: 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 representing the impact of interference; Based on the interference impact metric, the interference impact is evaluated to obtain an interference impact analysis result.

6. The method for controlling the lamination temperature of tempered laminated glass according to claim 1, characterized in that: The steps for obtaining the output result after compensation are as follows: Determine 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, To compensate the output; Based on the compensation output, the control input is adjusted to offset the interference effect to obtain a compensated output result.

7. The method for controlling the lamination temperature of tempered laminated glass according to claim 1, characterized in that: 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, continuously track temperature changes until the temperature stabilizes within the predetermined range, record the operation and temperature response during the adjustment process, and obtain the temperature regulation result.

8. The temperature control system of the laminated temperature control method of tempered laminated glass according to any one of claims 1 to 7, 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 the state and disturbance estimation, and generates the adjusted control parameters by adjusting the heating power in real time; The disturbance compensation module calculates the influence of disturbance on the adjusted control parameters, generates the disturbance influence analysis results, designs the disturbance compensation mechanism, offsets the disturbance influence by adjusting the control input, and generates the compensated output results; The temperature maintenance module implements adjustment measures based on the compensated output results and generates temperature control results.

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