A temperature automatic control system for a reactor used for treating waste resin by molten salt oxidation

Abstract

The present invention relates to the technical field of automatic control of reactor temperature, and specifically to an automatic temperature control system for a reactor used for molten salt oxidation of waste resin. The present invention first analyzes and obtains the temperature anomaly credibility and temperature control delay error of the reactor at the current moment, and then obtains the temperature control adjustment coefficient of the reactor at the current moment according to the temperature control delay error and the temperature anomaly credibility, and regulates the temperature of the reactor according to the temperature control adjustment coefficient. The present invention analyzes the response of the temperature control system, and combines preset reference monitoring points to compare and evaluate the influence of the temperature control delay of the reactor, while analyzing external factors to accurately evaluate abnormal temperature fluctuations, thereby accurately adjusting the PID control parameters of the temperature control system to regulate the temperature of the reactor, thereby improving the temperature control effect of the PID temperature control system during the molten salt oxidation process.

Description

Technical Field

[0001] The invention relates to the technical field of automatic control of reactor temperature, and in particular to an automatic temperature control system for a reactor used for treating waste resin by molten salt oxidation. Background Art

[0002] With the acceleration of industrial progress, the problem of industrial waste treatment has become increasingly prominent, especially waste resins in polymer materials. Waste resins contain a large number of harmful components that pose environmental risks, and it is difficult to safely and efficiently treat them by relying on traditional landfill or incineration methods. Molten salt oxidation technology has been widely used in the treatment of waste resins because of its good decomposition and mineralization ability for organic matter under high temperature conditions; the reactor for molten salt oxidation waste resin treatment is a device specifically used for oxidative decomposition of waste resins. When treating waste resins, it is crucial to control the high-temperature reaction conditions in the reactor.

[0003] In the existing reactor for treating waste resin by molten salt oxidation, a PID temperature control system is usually used to control the heating of the reactor. However, during the PID controlled heating process, a temperature sensor such as a thermocouple is usually used to monitor the temperature inside the reactor. However, due to factors such as the thermal inertia or heat conduction of the thermocouple, the feedback to the PID temperature control system is delayed. In addition, due to the complex and changeable loading conditions in the reactor, the temperature inside the reactor fluctuates greatly, affecting the stability of the PID temperature control system and increasing the control error, resulting in poor temperature control effect of the PID temperature control system during the molten salt oxidation process. Summary of the invention

[0004] In order to solve the technical problem that the PID temperature control system in the prior art has poor temperature control effect in the molten salt oxidation process, the purpose of the present invention is to provide a temperature automatic control system for a reactor for molten salt oxidation waste resin treatment, and the technical scheme adopted is as follows:

[0005] The present invention provides an automatic temperature control system for a reactor for treating waste resin by molten salt oxidation, the system comprising:

[0006] The data acquisition module is used to obtain the temperature curve at each fixed monitoring point in the reactor for molten salt oxidation waste resin treatment, the reference temperature curve at the center of the reactor and the vibration curve of the reactor within the preset historical period at the current moment; obtain the preset feeding time of the reactor and all historical temperature control response times;

[0007] A data analysis module, for obtaining the temperature anomaly credibility of the reactor at the current moment according to the fluctuation of each temperature curve and the fluctuation of the vibration curve, combined with the time interval between the current moment and the preset feeding moment; and obtaining the temperature control delay error of the reactor at the current moment according to the fluctuation information of each temperature curve and the reference temperature curve, combined with the historical temperature control response moment;

[0008] The temperature control module is used to obtain the temperature control adjustment coefficient of the reactor at the current moment according to the temperature control delay error and the temperature anomaly credibility; and to control the temperature of the reactor according to the temperature control adjustment coefficient.

[0009] Furthermore, the method for obtaining the temperature anomaly credibility includes:

[0010] Obtaining an abnormal representative parameter of each temperature curve according to the fluctuation of each temperature curve and the fluctuation difference relative to the other temperature curves;

[0011] According to the time interval between the current moment and the preset feeding moment, and the fluctuation of the vibration curve, the temperature control interference degree of the reactor at the current moment is obtained;

[0012] The temperature anomaly coefficient is obtained by comprehensively analyzing the abnormal representative parameters of all the temperature curves, and the negative correlation mapping result of the temperature control interference degree is used as the interference weight. The temperature anomaly coefficient is weighted using the interference weight, and the weighted result is used as the temperature anomaly credibility of the reactor at the current moment.

[0013] Furthermore, the method for obtaining the abnormal representative parameter includes:

[0014] In each of the temperature curves, according to the correlation between the time and the temperature, and the discrete characteristics of the temperature data between all adjacent extreme value points, the frequently changing parameters of each of the temperature curves are obtained;

[0015] According to the parameter difference between the frequently changing parameter of each temperature curve and the frequently changing parameters of all other temperature curves, obtaining the change deviation of each temperature curve; the parameter difference is positively correlated with the change deviation;

[0016] In each of the temperature curves, according to the excess value of the temperature data exceeding the preset safety temperature at each moment, the fluctuation deviation coefficient of each of the temperature curves is obtained; the excess value is positively correlated with the fluctuation deviation coefficient;

[0017] According to the variation deviation and the fluctuation deviation coefficient, an abnormal representative parameter of each temperature curve is obtained; the variation deviation and the fluctuation deviation coefficient are both positively correlated with the abnormal representative parameter.

[0018] Furthermore, the method for obtaining the temperature control interference degree includes:

[0019] Perform negative correlation mapping on the time interval between the current moment and the preset feeding moment, and use the negative correlation mapping result as a reaction interference parameter; use the variance of all vibration data in the vibration curve as an environmental interference parameter;

[0020] The temperature control interference degree is obtained according to the reaction interference parameter and the environmental interference parameter, and both the reaction interference parameter and the environmental interference parameter are positively correlated with the temperature control interference degree.

[0021] Furthermore, the method for obtaining the frequently changing parameters includes:

[0022] In each of the temperature curves, a time sequence and a temperature sequence are obtained, a correlation coefficient between the time sequence and the temperature sequence is normalized, and the normalization result is used as a change trend parameter;

[0023] In each of the temperature curves, the variance of all temperature data between every two adjacent extreme points is obtained; the variance between all adjacent extreme points is integrated to obtain a frequent fluctuation parameter;

[0024] According to the change trend parameter and the frequent fluctuation parameter, the frequent change parameter of each temperature curve is obtained; the change trend parameter and the frequent fluctuation parameter are both positively correlated with the frequent change parameter.

[0025] Furthermore, the method for obtaining the temperature control delay error includes:

[0026] According to the fluctuation information of each temperature curve, combined with the historical temperature control response time, the temperature control delay response parameter of the reactor at the current time is obtained;

[0027] All the temperature curves are integrated to obtain the fusion temperature curve of the reactor at the current moment; according to the fluctuation difference between the reference temperature curve and the fusion temperature curve, the delay deviation is obtained; the fluctuation difference is positively correlated with the delay deviation;

[0028] According to the temperature control delay response parameter and the delay deviation, the temperature control delay error of the reactor at the current moment is obtained; the temperature control delay response parameter and the delay deviation are both positively correlated with the temperature control delay error.

[0029] Furthermore, the method for obtaining the temperature control delay response parameter includes:

[0030] The average of the time corresponding to the maximum peak value in all the temperature curves is used as the temperature control feedback time, and the reference response time of the temperature control feedback time is screened out from all the historical temperature control response times, and the reference response time is after the temperature control feedback time in terms of timing; when all the historical temperature control response times are less than the temperature control feedback time, the current time is used as the reference response time of the temperature control feedback time;

[0031] The time interval between the reference response moment and the temperature control feedback moment is used as the temperature control delayed response parameter of the reactor at the current moment.

[0032] Furthermore, the method for obtaining the fusion temperature curve includes:

[0033] All the temperature curves are fused based on the average method in model fusion to obtain a fused temperature curve.

[0034] Furthermore, the method for obtaining the temperature control adjustment coefficient includes:

[0035] The temperature control delay error and the Euclidean norm of the temperature anomaly credibility are normalized to be positively correlated, and the positive correlation normalization result is used as the temperature control adjustment coefficient of the reactor at the current moment.

[0036] Furthermore, the method for regulating the temperature of the reactor according to the temperature control adjustment coefficient includes:

[0037] At the current moment, the P parameter of the PID controller in the reactor temperature control system is obtained; a constant 1 is added to the temperature control adjustment coefficient as a parameter adjustment weight; the P parameter is weighted by using the parameter adjustment weight, and the weighted result is used as a modified P parameter; the temperature of the reactor is controlled in real time based on the modified P parameter and the PID controller.

[0038] The present invention has the following beneficial effects:

[0039] The present invention first obtains all temperature curves, reference temperature curves, preset feeding moments, vibration curves and all historical temperature control response moments in the reactor at the current moment in the data acquisition module, so as to provide data support for the subsequent analysis of the temperature control delay error and temperature anomaly credibility of the reactor at the current moment; then, in the data analysis module, the influence of external factors such as the vibration or filler of the reactor is combined to analyze the actual temperature change in the reactor. The more violent the temperature fluctuation is, the more abnormal the temperature control effect of the current reactor is, and the greater the credibility of the temperature anomaly is, so as to facilitate the subsequent acquisition of the adjustment parameters of the temperature control system to improve the temperature control effect of the temperature control system in the molten salt oxidation process; then, with the help of the reference temperature curve, the delay effect of the temperature collected at the fixed monitoring point of the reactor on the temperature control system is evaluated, and at the same time, the delay effect of the temperature control system is evaluated with the help of the temperature control response speed, and the temperature control delay error is obtained, so as to evaluate and control the reactor in the subsequent process to improve the temperature control effect; finally, in the temperature control module, according to the temperature control delay error and the credibility of the temperature anomaly, the temperature control adjustment coefficient of the reactor at the current moment is obtained to control the temperature of the reactor. The present invention analyzes the response of the temperature control system, combines it with preset reference monitoring points to compare and evaluate the impact of the temperature control delay of the reactor, and analyzes the interference of external factors to accurately evaluate the abnormal temperature fluctuation, so as to accurately adjust the PID control parameters of the temperature control system to regulate the temperature of the reactor, thereby improving the temperature control effect of the PID temperature control system in the molten salt oxidation process. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0041] Figure 1 A system block diagram of an automatic temperature control system for a reactor for treating waste resin by molten salt oxidation provided by one embodiment of the present invention;

[0042] Figure 2 A flow chart of a method for obtaining the credibility of temperature anomaly provided by an embodiment of the present invention;

[0043] Figure 3 A flow chart of a method for obtaining a temperature control delay error provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0044] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of the specific implementation method, structure, features and effects of a temperature automatic control system for a reactor for treating waste resin by molten salt oxidation according to the present invention in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0045] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0046] The specific scheme of the automatic temperature control system of a reactor for treating waste resin by molten salt oxidation provided by the present invention is described in detail below with reference to the accompanying drawings.

[0047] See also Figure 1 , which shows a system block diagram of a temperature automatic control system of a reactor for treating waste resin by molten salt oxidation provided by an embodiment of the present invention. The system includes a data acquisition module 101, a data analysis module 102, and a temperature control module 103.

[0048] The data acquisition module 101 is used to obtain the temperature curve at each fixed monitoring point in the reactor for molten salt oxidation waste resin treatment, the reference temperature curve at the center of the reactor and the vibration curve of the reactor within the preset historical period at the current moment; obtain the preset feeding time of the reactor and all historical temperature control response times.

[0049] Considering that the working principle of the reactor for molten salt oxidation waste resin treatment is to collect the temperature data inside the reactor in real time, and then feed the temperature data back to the temperature control system to automatically adjust the heating or cooling operation of the reactor, so as to achieve the purpose of controlling the temperature inside the reactor, the temperature data is crucial for regulating the operation of the reactor.

[0050] Therefore, in one embodiment of the present invention, first, within the preset historical time period at the current moment, the temperature curve at each fixed monitoring point in the reactor for treating waste resin by molten salt oxidation is obtained; wherein the fixed monitoring point refers to the installation position of the thermocouple on the reactor, which is usually a multi-channel thermocouple synchronously collected and monitored, and each thermocouple respectively monitors and collects the temperature data at different fixed monitoring points of the reactor in real time, and the collection frequency is set to 1Hz; the preset historical time period is set to 10 minutes, and then at the current moment, all the temperature data collected by each thermocouple within the historical 10 minutes are obtained, and the data are sorted in chronological order according to the collection time and mapped to the constructed two-dimensional coordinate system in sequence, and then the temperature curve is fitted, which is already a prior art and will not be repeated here; the implementer can also customize the collection frequency and the length of the temperature curve according to the specific implementation scenario, but it is necessary to ensure that the collection frequency of all thermocouples is consistent.

[0051] Considering that the thermocouple in the reactor usually needs to be in direct contact with the heat source, there are certain heat conduction limitations. At the same time, the thermocouple will have a certain thermal inertia when the temperature of the reactor changes, resulting in a certain measurement delay when the thermocouple collects temperature data in real time, which also has a certain impact on the feedback adjustment of the temperature control system.

[0052] Therefore, an embodiment of the present invention further opens an infrared transmission window on the wall of the reactor, and sets an infrared temperature sensor at the infrared transmission window to collect and monitor the temperature data of the center of the reactor in real time; then, the temperature data collected by the infrared temperature sensor is used to construct a reference temperature curve, which is consistent with the construction method of the temperature curve and will not be repeated; the infrared temperature sensor has a fast response speed, and obtaining a reference temperature curve can provide a reference basis for the subsequent analysis of the temperature delay effect of the thermocouple of the reactor. Among other implementers, the implementer can also customize other collection methods to obtain the reference temperature curve at the center of the reactor, but the immediacy of the collection must be guaranteed to improve the effectiveness of the analysis.

[0053] Considering that in the molten salt oxidation process of waste resin, if a catalyst or reactant is added to the reactor, the reaction rate may increase and more heat may be released, which may cause the temperature data in the reactor to fluctuate or continue to rise. At this time, the temperature control system will respond to regulate the heating or cooling of the reactor. The feeding time of the reactor and the response time of the temperature control system can, to a certain extent, provide a reference for the subsequent analysis of the temperature delay effect of the thermocouple of the reactor. Considering that in the molten salt oxidation process of waste resin, the reactor may vibrate due to factors such as material distribution or reaction in the reactor, which may affect the mixing uniformity of the materials in the reactor or further affect the reaction rate, and may also affect the collection process of the thermocouple, thereby affecting the fluctuation of the temperature curve at each fixed monitoring point, and may interfere with the analysis and processing of the temperature curve to a certain extent, affecting the subsequent temperature control effect. Therefore, an embodiment of the present invention further obtains the vibration curve of the reactor in the preset historical period at the current moment, the preset feeding time of the reactor and all historical temperature control response times.

[0054] The preset feeding time is pre-set by the process personnel during the molten salt oxidation of the waste resin. In one embodiment of the present invention, the preset feeding time is set as the first feeding time of the reactor when processing the waste resin.

[0055] Then, the output times corresponding to all control signals in the reactor temperature control system that control the heating or cooling of the reactor are read, that is, all historical temperature control response times of the reactor temperature control system; it should be noted that the historical temperature control response times can be obtained through the built-in log records of the PID controller in the temperature control system, or can be obtained through an external data acquisition system, which are all existing technologies and will not be described here.

[0056] Then, by installing a vibration sensor on the base of the reactor, the vibration sensor monitors and collects the vibration data of the reactor in real time, and the collection frequency is set to 1Hz. Then, at the current moment, all the vibration data collected in the past 10 minutes are obtained to construct a vibration curve. The construction method is consistent with that of the temperature curve and will not be repeated here. The implementer can also customize the collection frequency according to the specific implementation scenario.

[0057] At this point, all data for subsequent analysis are acquired using the data acquisition module 101, and the acquired data is transmitted to the data analysis module 102 for analysis via communication methods such as RS485 wired communication. The implementer may also use other wireless communication methods for transmission, which will not be elaborated here.

[0058] The data analysis module 102 is used to obtain the temperature anomaly credibility of the reactor at the current moment according to the fluctuation of each temperature curve and the fluctuation of the vibration curve, combined with the time interval between the current moment and the preset feeding moment; and to obtain the temperature control delay error of the reactor at the current moment according to the fluctuation information of each temperature curve and the reference temperature curve, combined with the historical temperature control response moment.

[0059] Considering that during the molten salt oxidation process of waste resin, the relatively stable high temperature state can ensure sufficient contact and mixing between the reactants, thereby improving the oxidation efficiency; it can also help reduce the thermal stress damage of the equipment, thereby improving the utilization rate and life of the equipment; considering that the violent vibration of the reactor, the addition of reactants or catalysts to the reactor and other external interference factors will interfere with the normal fluctuation change analysis of the temperature data, and the more violent the vibration or the closer to the feeding time, the greater the interference effect;

[0060] Therefore, the embodiment of the present invention will obtain the temperature anomaly credibility of the reactor at the current moment according to the fluctuation of each temperature curve and the fluctuation of the vibration curve, combined with the time interval between the current moment and the preset feeding moment; by combining the analysis of the influence of external factors such as the vibration or filler of the reactor, the actual temperature change in the reactor is better evaluated. The more drastic the temperature fluctuation, the more abnormal the temperature control effect of the current reactor is, and the greater the temperature anomaly credibility; thereby facilitating the subsequent acquisition of the adjustment parameters of the temperature control system to improve the temperature control effect of the temperature control system in the molten salt oxidation process.

[0061] Preferably, in one embodiment of the present invention, the method for obtaining the credibility of temperature anomaly includes:

[0062] See also Figure 2 , which shows a flow chart of a method for obtaining the credibility of temperature anomaly provided by an embodiment of the present invention, specifically comprising:

[0063] Step S201 , obtaining abnormal representative parameters of each temperature curve according to the fluctuation of each temperature curve and the fluctuation difference relative to other temperature curves.

[0064] Considering that under normal circumstances, although there are certain differences in the temperatures at different fixed monitoring points in the reactor, the fluctuation trends of the corresponding temperature curves should be roughly similar; considering that the greater the difference between the fluctuation of a certain temperature curve relative to the fluctuation of other temperature curves, the more abnormal it is, which indirectly reflects that the feedback regulation effect of the temperature control system is worse, thereby causing abnormal temperature changes or uneven heating and cooling in the reactor; therefore, in one embodiment of the present invention, the abnormal representative parameters of each temperature curve are first analyzed and obtained, and the abnormal representative parameters indirectly evaluate the poor feedback regulation effect of the temperature control system from the perspective of each fixed monitoring point, preparing for the subsequent evaluation of the credibility of the temperature anomaly.

[0065] In a preferred embodiment of the present invention, considering that the change of temperature over time can evaluate its change trend, and the discrete characteristics of temperature data between adjacent extreme values ​​can evaluate the severity of temperature fluctuation, the combination of the two can evaluate the frequency of change, thereby quantifying the fluctuation characteristics of each temperature curve, and then analyzing its fluctuation deviation relative to other temperature curves, and evaluating the abnormal representative parameters; therefore, the method for obtaining the abnormal representative parameters includes:

[0066] In each temperature curve, the frequently changing parameters of each temperature curve are obtained according to the change correlation between time and temperature, and the discrete characteristics of temperature data between all adjacent extreme points; the change deviation of each temperature curve is obtained according to the parameter difference between the frequently changing parameters of each temperature curve and the frequently changing parameters of all other temperature curves; the parameter difference is positively correlated with the change deviation; in each temperature curve, the fluctuation deviation coefficient of each temperature curve is obtained according to the excess value of the temperature data exceeding the preset safety temperature at each moment; the excess value is positively correlated with the fluctuation deviation coefficient; according to the change deviation and the fluctuation deviation coefficient, the abnormal representative parameter of each temperature curve is obtained; the change deviation and the fluctuation deviation coefficient are both positively correlated with the abnormal representative parameter.

[0067] Among them, since the correlation coefficient between temperature and time can reflect the changing trend of the temperature curve, and the variance can be used to evaluate the discrete characteristics of temperature data, the method for obtaining frequently changing parameters includes:

[0068] In each temperature curve, the time series and temperature series are obtained, the correlation coefficient between the time series and the temperature series is normalized, and the normalized result is used as the change trend parameter; in each temperature curve, the variance of all temperature data between every two adjacent extreme points is obtained; the variance between all adjacent extreme points is combined to obtain the frequent fluctuation parameter; according to the change trend parameter and the frequent fluctuation parameter, the frequent change parameter of each temperature curve is obtained; the change trend parameter and the frequent fluctuation parameter are both positively correlated with the frequent change parameter.

[0069] As an example, the calculation formula for the frequently changing parameter is: ;in, Is the serial number of each temperature curve; For the Frequently changing parameters of a temperature curve; For the The change trend parameter of the temperature curve; For the The serial number of each pair of adjacent extreme points in a temperature curve; For the The temperature curve The variance of all temperature data between adjacent extreme points; For the The total number of pairs of all adjacent extreme points in a temperature curve; For the A frequently fluctuating parameter of the temperature curve.

[0070] It should be noted that the change trend parameter is obtained by calculating the correlation coefficient between the moment series and the temperature series in the temperature curve, and then performing linear normalization processing. The closer the correlation coefficient is to 1, the higher the temperature shows an upward trend over time, the larger the normalized value is, and the larger the corresponding change trend parameter is. At the same time, the more frequently the temperature data changes, the larger the frequent fluctuation parameter is. The two are then combined to evaluate the frequent change parameter. The larger the frequent change parameter is, the more it indicates that the temperature change does not conform to the expected situation of the reactor in the actual reaction process, which facilitates the subsequent evaluation of abnormal variability.

[0071] It should be noted that the correlation coefficient is a simple correlation coefficient. In other examples, the implementer may also use the Pearson correlation coefficient instead, or directly use the slope method to evaluate the overall slope of the temperature curve to obtain the change trend parameter, and then use the sum or product of the total number of extreme points and the overall variance of the temperature curve as the frequent fluctuation parameter; and then comprehensively obtain the frequent change parameter; other basic mathematical operations or related mapping methods may also be used to combine the two, which are all existing technologies and will not be repeated here.

[0072] As an example, the calculation formula of the abnormal representative parameter is: ;in, Is the serial number of each temperature curve; For the The serial numbers of the remaining temperature curves except the temperature curve; is the total number of temperature curves and also the total number of fixed monitoring points; For the The abnormal representative parameters of the temperature curve; For the Frequently changing parameters of a temperature curve; For the Frequently changing parameters of a temperature curve; is the absolute value symbol; is the symbol for taking the mean; For the The corresponding time of the temperature data exceeding the preset safety temperature in each temperature curve; For the Temperature data exceeding the preset safety temperature in each temperature curve; To preset a safe temperature; For the The temperature curve An excess value of temperature data exceeding the preset safety temperature; For the The fluctuation deviation coefficient of the temperature curve; For the The change deviation of the temperature curve.

[0073] It should be noted that, in this example, the preset safety temperature data is set to 1000°C, and the implementer can also set it according to the relevant process requirements of the actual molten salt oxidation reaction, and the limitation is not repeated here.

[0074] In the calculation formula of the abnormal representative parameter, the larger the change deviation, the more the fluctuation characteristics of the temperature curve deviate from the abnormality relative to the other temperature curves, and the larger the abnormal representative parameter; the larger the fluctuation deviation coefficient, the more the temperature near the fixed monitoring point frequently exceeds the preset safety temperature or exceeds the temperature by a large margin, and there is a certain safety risk, and the larger the abnormal representative parameter; the change deviation and the fluctuation deviation coefficient can be combined by multiplication, and the implementer can also use other basic mathematical operations or related mapping methods to combine the two, which will not be elaborated here.

[0075] In other examples, implementers may also use the number of excess times as the fluctuation deviation coefficient, or may use the product or sum of the number of excess times to comprehensively evaluate the fluctuation deviation coefficient, which will not be elaborated here.

[0076] Step S202, according to the time interval between the current moment and the preset feeding moment, and the fluctuation of the vibration curve, the temperature control interference degree of the reactor at the current moment is obtained.

[0077] Considering that the closer the time interval between the current moment and the preset feeding moment is, and the more violent the vibration of the reactor is, the greater the influence of external factors on the temperature fluctuation in the reactor will be, which will interfere with the accurate regulation of the temperature control system.

[0078] In a preferred embodiment of the present invention, a method for obtaining the degree of temperature control interference includes:

[0079] The time interval between the current moment and the preset feeding moment is negatively correlated and mapped, and the negative correlation mapping result is used as the reaction interference parameter; the variance of all vibration data in the vibration curve is used as the environmental interference parameter; the temperature control interference degree is obtained according to the reaction interference parameter and the environmental interference parameter, and both the reaction interference parameter and the environmental interference parameter are positively correlated with the temperature control interference degree.

[0080] As an example, the calculation formula for the temperature control interference degree is: ;in, is the temperature control interference degree of the reactor at the current moment; To preset the feeding time; for the current moment; is the reaction interference parameter; is the variance of all vibration data in the vibration curve, and is also the environmental interference parameter.

[0081] In the calculation formula of the temperature control interference degree, the time interval between the current moment and the preset feeding moment is reciprocally calculated to realize the negative correlation mapping adjustment logic, and the reaction interference parameter is obtained. Then the reaction interference parameter and the environmental interference parameter are multiplied and combined to obtain the temperature control interference degree.

[0082] It should be noted that the preset feeding time is usually before the start of the reaction, that is, the current time should always be greater than the preset feeding time, so there is no situation where the denominator is 0 when performing an inverse operation to obtain the reaction interference parameters; however, there may be related processes in which catalysts or reactants are added multiple times during the reaction. The implementer can select a preset feeding time closest to the current time from all historical preset feeding times at the current time for comparison, and then obtain the reaction interference parameters.

[0083] In other examples, implementers may also adopt other negative correlation mapping methods, such as using the time interval as the x in the exponential function exp(-x) with a natural constant as the base to achieve negative correlation mapping; other basic mathematical operations or related mapping methods may also be used to combine reaction interference parameters and environmental interference parameters, which are not elaborated here; implementers may also evaluate environmental interference parameters in combination with the amplitude of the vibration curve, such as multiplying the maximum vibration amplitude or the mean vibration amplitude with the variance of the vibration data and combining them as environmental interference parameters, etc., which are not elaborated here.

[0084] Step S203, the temperature anomaly coefficient is obtained by synthesizing the abnormal representative parameters of all temperature curves, the negative correlation mapping result of the temperature control interference degree is used as the interference weight, the temperature anomaly coefficient is weighted by the interference weight, and the weighted result is used as the temperature anomaly credibility of the reactor at the current moment.

[0085] Taking into account the abnormal representative parameters of the temperature curve, the feedback control effect of the temperature control system is poor from the perspective of each fixed monitoring point, while the degree of temperature control interference reflects that the temperature fluctuation in the reactor is affected by external factors; therefore, the combination of the two can accurately evaluate the actual temperature changes in the reactor while minimizing external interference.

[0086] As an example, the calculation formula for temperature anomaly credibility is: ;in, is the abnormal reliability of the temperature of the reactor at the current moment; Is the serial number of each temperature curve; is the total number of temperature curves and also the total number of fixed monitoring points; For the The abnormal representative parameters of the temperature curve; is an exponential function with a natural constant as base; is the temperature control interference degree of the reactor at the current moment; is the temperature anomaly coefficient; is the interference weight.

[0087] In the calculation formula of temperature anomaly credibility, the logic of temperature control interference degree is adjusted by the negative correlation mapping function exp (-x) to obtain the interference weight. The greater the temperature control interference degree, the greater the impact on the analysis of the abnormal representative parameters of the temperature curve, and thus the greater the impact on the analysis accuracy of the temperature anomaly coefficient. Therefore, it is used as a weight to weight the temperature anomaly coefficient, so as to accurately evaluate the temperature anomaly credibility of the reactor at the current moment. The greater the temperature anomaly credibility of the reactor at the current moment, the more abnormal the temperature control effect of the reactor, and the greater the influence on the subsequent reference for obtaining the adjustment parameters of the temperature control system.

[0088] At this point, the temperature anomaly credibility of the reactor at the current moment is obtained.

[0089] Taking into account the possible limitations of thermal inertia or heat conduction when the thermocouple collects temperature, there is also a certain delay effect on the feedback adjustment of the temperature control system; and considering that the temperature curve and the reference temperature curve are collected and monitored at the same time, and the temperature control response time reflects the actual response adjustment action time of the temperature control system after receiving the feedback temperature data, it can help evaluate the response speed and delay effect of the temperature control system; therefore, in order to reduce the delay effect on the temperature control system and effectively adjust the reactor, the embodiment of the present invention will obtain the temperature control delay error of the reactor at the current moment according to the fluctuation information of each temperature curve and the reference temperature curve, combined with the historical temperature control response time; the temperature control delay error not only uses the reference temperature curve to evaluate the delay effect of the temperature collected by the thermocouple of the reactor on the temperature control system, but also uses the temperature control response speed to evaluate the delay effect of the temperature control system, so as to facilitate the subsequent evaluation and control of the reactor in combination with the temperature control delay error to improve the temperature control effect.

[0090] Preferably, in one embodiment of the present invention, the method for obtaining the temperature control delay error includes:

[0091] See also Figure 3 , which shows a flow chart of a method for obtaining a temperature control delay error provided by an embodiment of the present invention, specifically comprising:

[0092] Step S301, according to the fluctuation information of each temperature curve and in combination with the historical temperature control response time, the temperature control delay response parameter of the reactor at the current time is obtained.

[0093] Considering that when the reactor temperature fluctuates greatly, the temperature control system will trigger certain response operations to keep the reactor at a stable and appropriate temperature, the temperature control delay response parameters can be preliminarily evaluated by combining the temperature curve fluctuation information and the historical temperature control response time.

[0094] In a preferred embodiment of the present invention, considering that the maximum peak in the temperature curve is usually the highest temperature point, the temperature control system will respond to adjust and maintain the stable state of the temperature, and the response usually occurs after the maximum peak corresponding moment, so a historical temperature control response moment with the latest time sequence and greater than the maximum peak corresponding moment can be obtained, and the historical temperature control response moment is considered to be the temperature control response moment corresponding to the maximum peak, and then the time interval is evaluated to obtain the temperature delay response parameter. The larger the time interval, the greater the delay effect of the temperature control system; therefore, the method for obtaining the temperature control delay response parameter includes:

[0095] The average of the moments corresponding to the maximum peaks in all temperature curves is taken as the temperature control feedback moment, and the reference response moment of the temperature control feedback moment is screened out from all historical temperature control response moments, and the reference response moment is after the temperature control feedback moment in time sequence; when all historical temperature control response moments are less than the temperature control feedback moment, the current moment is taken as the reference response moment of the temperature control feedback moment; the time interval between the reference response moment and the temperature control feedback moment is taken as the temperature control delay response parameter of the reactor at the current moment.

[0096] As an example, the calculation formula for the temperature control delay response parameter is: ;in, is the temperature control delay response parameter of the reactor at the current moment; Is the serial number of each temperature curve; is the total number of temperature curves and also the total number of fixed monitoring points; is the reference response time; For the The time corresponding to the maximum peak in the temperature curve; It is the temperature control feedback moment.

[0097] In other examples, the mode of the maximum peak value corresponding to the time in all temperature curves can be used instead of the mean to obtain the temperature control feedback time, and the maximum peak value corresponding to the time in the following fusion temperature curve can also be used as the temperature control feedback time, which will not be repeated.

[0098] It should be noted that when all historical temperature control response moments are less than the temperature control feedback moment, it means that the response moment of the temperature control system under the temperature control feedback moment cannot be accurately evaluated as of the current moment, and the current moment can be used as its reference response moment; it can also be customized, such as setting the reference response moment to a future preset moment, that is, the future preset moment can be directly set to a preset time interval from the temperature control feedback moment, such as 10 minutes, etc., and the implementer can also customize it, and the limitation is not repeated here.

[0099] Step S302, merging all temperature curves to obtain the fusion temperature curve of the reactor at the current moment; obtaining the delay deviation according to the fluctuation difference between the reference temperature curve and the fusion temperature curve; the fluctuation difference is positively correlated with the delay deviation.

[0100] Considering that the temperature collected by the infrared temperature sensor is more immediate than that collected by the reactor's own thermocouple, there may be a certain delay deviation between the temperature curve and the reference temperature curve. The fluctuation difference between the curves can reflect the impact of the delay to a certain extent, so the temperature control delay error can be comprehensively evaluated in combination with the temperature control delay response parameters.

[0101] Considering that the temperature average of all fixed monitoring points at the same time can roughly reflect the average temperature level in the reactor at that time, and the reference temperature curve is in the center of the reactor, it can also represent the average temperature level in the reactor.

[0102] Therefore, the method for obtaining the fusion temperature curve includes: fusing all temperature curves based on the average method in model fusion to obtain the fusion temperature curve; specifically, taking the average of the temperature data at the same time in all temperature curves as the fusion temperature data at the corresponding time, mapping the fusion temperature data at each time to a two-dimensional coordinate system, and fitting the fusion temperature curve.

[0103] In other embodiments, the implementer may also perform weighted averaging on all temperature curves in combination with the locations of different fixed monitoring points to obtain a fused temperature curve; this and the averaging method are both well-known techniques and will not be described in detail here.

[0104] As an example, the delay deviation is calculated as: ;in, is the delay deviation; is the time sequence number; is the total number of moments; is the serial number of the reference temperature curve; The reference temperature curve Temperature data at each moment; is the serial number of the fusion temperature curve; The fusion temperature curve Temperature data at each moment; is the absolute value symbol.

[0105] In the delay deviation calculation formula, the larger the absolute value of the difference in temperature data at the same time, the greater the impact of the delay and the greater the delay deviation. However, it is impossible to accurately evaluate the impact of the delay based solely on the delay deviation, and further comprehensive evaluation is required in combination with the delay temperature control delay impact parameters.

[0106] Step S303, obtaining the temperature control delay error of the reactor at the current moment according to the temperature control delay response parameter and the delay deviation; the temperature control delay response parameter and the delay deviation are both positively correlated with the temperature control delay error.

[0107] As an example, the temperature control delay response parameter is multiplied and combined with the delay deviation, and the product is linearly normalized to obtain the temperature control delay error of the reactor at the current moment; in other embodiments, the implementer may also use other basic mathematical operations such as addition or weighted summation or related mapping methods to combine the two, or may use other normalization methods, which are not described here.

[0108] In other embodiments of the present invention, the implementer may first obtain the fusion temperature curve, and then use the cross-correlation function to calculate the cross-correlation coefficient between the reference temperature curve and the fusion temperature curve with the help of the cross-correlation function in MATLAB, find the peak position of the mutual coefficient, and thus obtain the time lag between the two curves, and directly use the time lag as the temperature control delay response parameter, which is already a prior art well known to those skilled in the art and will not be elaborated here.

[0109] At this point, the temperature control delay error of the reactor at the current moment is obtained.

[0110] The temperature control module 103 is used to obtain the temperature control adjustment coefficient of the reactor at the current moment according to the temperature control delay error and the temperature anomaly credibility; and to adjust the temperature of the reactor according to the temperature control adjustment coefficient.

[0111] After obtaining the temperature control delay error and the temperature anomaly credibility, the temperature control adjustment coefficient of the reactor at the current moment can be further obtained, and then the temperature of the reactor can be controlled according to the temperature control adjustment coefficient.

[0112] Preferably, in one embodiment of the present invention, considering that the temperature control delay error will cause the temperature control system to respond slowly, the larger the temperature control delay error, the larger the corresponding temperature control adjustment coefficient should be to balance the temperature control delay effect; and the greater the temperature anomaly credibility, the greater the temperature fluctuations and abnormal behavior that cause the temperature control system to respond poorly, and the corresponding temperature control adjustment coefficient should also be greater; therefore, the method for obtaining the temperature control adjustment coefficient includes:

[0113] The Euclidean norms of the temperature control delay error and the temperature anomaly credibility are normalized to be positively correlated, and the positive correlation normalization result is used as the temperature control adjustment coefficient of the reactor at the current moment; the temperature control adjustment coefficient is the adjustment coefficient of the PID parameters of the temperature control system.

[0114] As an example, the temperature control adjustment coefficient is calculated as: ;in, is the temperature control adjustment coefficient of the reactor at the current moment; is the hyperbolic tangent function; is the abnormal reliability of the temperature of the reactor at the current moment; is the temperature control delay error of the reactor at the current moment.

[0115] In the calculation formula of the temperature control adjustment coefficient, the temperature control delay error and the temperature anomaly credibility are combined in the form of Euclidean norm, and then the Euclidean norm is positively correlated normalized using the hyperbolic tangent function to obtain the temperature control adjustment coefficient; in other examples, the implementer may also use other basic mathematical operations such as addition or weighted summation to combine the temperature control delay error and the temperature anomaly credibility, and may also use other normalization methods, which are all existing technologies and will not be elaborated here.

[0116] Preferably, in one embodiment of the present invention, the method for controlling the temperature of the reactor according to the temperature control adjustment coefficient includes:

[0117] At the current moment, the P parameter of the PID controller in the reactor temperature control system is obtained; the constant 1 plus the temperature control adjustment coefficient is used as the parameter adjustment weight; the P parameter is weighted using the parameter adjustment weight, and the weighted result is used as the modified P parameter; the temperature of the reactor is controlled in real time based on the modified P parameter and the PID controller.

[0118] It should be noted that, in one embodiment of the present invention, the Ziegler-Nichols method is specifically used to obtain the proportional gain parameter P, i.e., the P parameter, the integral gain parameter I and the differential gain parameter D of the PID controller, and then the corrected P parameter is obtained, and then the P parameter, the integral gain parameter I and the differential gain parameter D are comprehensively corrected to obtain the temperature of the real-time reactor, so as to improve the temperature control effect of the PID temperature control system in the molten salt oxidation process.

[0119] It should be noted that the Ziegler-Nichols method and the PID algorithm are both prior arts well known to those skilled in the art and will not be described in detail here.

[0120] In summary, the present invention first obtains all temperature curves, reference temperature curves, preset feeding time of the reactor, vibration curves of the reactor at the current moment, and all historical temperature control response times in the data acquisition module; then analyzes and obtains the temperature anomaly credibility and temperature control delay error of the reactor at the current moment in the data analysis module; finally, in the temperature control module, according to the temperature control delay error and temperature anomaly credibility, obtains the temperature control adjustment coefficient of the reactor at the current moment, and regulates the temperature of the reactor according to the temperature control adjustment coefficient. The present invention analyzes the response of the temperature control system, and combines the preset reference monitoring points to compare and evaluate the influence of the temperature control delay of the reactor, and analyzes the external factors to interfere with the accurate evaluation of the abnormal temperature fluctuation, so as to accurately adjust the PID control parameters of the temperature control system to regulate the temperature of the reactor, thereby improving the temperature control effect of the PID temperature control system in the molten salt oxidation process.

[0121] It should be noted that the sequence of the above embodiments of the present invention is only for description and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0122] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

Claims

1. A temperature automatic control system for a reactor for treating waste resin by molten salt oxidation, characterized in that: The system comprises: The data acquisition module is used to obtain the temperature curve at each fixed monitoring point in the reactor for molten salt oxidation waste resin treatment, the reference temperature curve at the center of the reactor and the vibration curve of the reactor within the preset historical period at the current moment; obtain the preset feeding time of the reactor and all historical temperature control response times; A data analysis module, for obtaining the temperature anomaly credibility of the reactor at the current moment according to the fluctuation of each temperature curve and the fluctuation of the vibration curve, combined with the time interval between the current moment and the preset feeding moment; and obtaining the temperature control delay error of the reactor at the current moment according to the fluctuation information of each temperature curve and the reference temperature curve, combined with the historical temperature control response moment; A temperature control module is used to obtain a temperature control adjustment coefficient of the reactor at the current moment according to the temperature control delay error and the temperature anomaly credibility; and to control the temperature of the reactor according to the temperature control adjustment coefficient; The method for obtaining the temperature anomaly credibility includes: Obtaining an abnormal representative parameter of each temperature curve according to the fluctuation of each temperature curve and the fluctuation difference relative to the other temperature curves; According to the time interval between the current moment and the preset feeding moment, and the fluctuation of the vibration curve, the temperature control interference degree of the reactor at the current moment is obtained; The temperature anomaly coefficient is obtained by comprehensively analyzing the abnormal representative parameters of all the temperature curves, and the negative correlation mapping result of the temperature control interference degree is used as the interference weight. The temperature anomaly coefficient is weighted by using the interference weight, and the weighted result is used as the temperature anomaly credibility of the reactor at the current moment; The method for obtaining the temperature control delay error includes: According to the fluctuation information of each temperature curve, combined with the historical temperature control response time, the temperature control delay response parameter of the reactor at the current time is obtained; All the temperature curves are integrated to obtain the fusion temperature curve of the reactor at the current moment; according to the fluctuation difference between the reference temperature curve and the fusion temperature curve, the delay deviation is obtained; the fluctuation difference is positively correlated with the delay deviation; According to the temperature control delay response parameter and the delay deviation, the temperature control delay error of the reactor at the current moment is obtained; the temperature control delay response parameter and the delay deviation are both positively correlated with the temperature control delay error; The method for obtaining the temperature control adjustment coefficient includes: The temperature control delay error and the Euclidean norm of the temperature anomaly credibility are normalized to be positively correlated, and the positive correlation normalization result is used as the temperature control adjustment coefficient of the reactor at the current moment.

2. The automatic temperature control system of a reactor for treating waste resin by molten salt oxidation according to claim 1, characterized in that: The method for obtaining the abnormal representative parameter includes: In each of the temperature curves, according to the correlation between the time and the temperature, and the discrete characteristics of the temperature data between all adjacent extreme value points, the frequently changing parameters of each of the temperature curves are obtained; According to the parameter difference between the frequently changing parameter of each temperature curve and the frequently changing parameters of all other temperature curves, obtaining the change deviation of each temperature curve; the parameter difference is positively correlated with the change deviation; In each of the temperature curves, according to the excess value of the temperature data exceeding the preset safety temperature at each moment, the fluctuation deviation coefficient of each of the temperature curves is obtained; the excess value is positively correlated with the fluctuation deviation coefficient; According to the variation deviation and the fluctuation deviation coefficient, an abnormal representative parameter of each temperature curve is obtained; the variation deviation and the fluctuation deviation coefficient are both positively correlated with the abnormal representative parameter.

3. The automatic temperature control system of a reactor for treating waste resin by molten salt oxidation according to claim 1, characterized in that: The method for obtaining the temperature control interference degree includes: Perform negative correlation mapping on the time interval between the current moment and the preset feeding moment, and use the negative correlation mapping result as a reaction interference parameter; use the variance of all vibration data in the vibration curve as an environmental interference parameter; The temperature control interference degree is obtained according to the reaction interference parameter and the environmental interference parameter, and both the reaction interference parameter and the environmental interference parameter are positively correlated with the temperature control interference degree.

4. The automatic temperature control system of a reactor for treating waste resin by molten salt oxidation according to claim 2, characterized in that: The method for obtaining the frequently changing parameters includes: In each of the temperature curves, a time sequence and a temperature sequence are obtained, a correlation coefficient between the time sequence and the temperature sequence is normalized, and the normalization result is used as a change trend parameter; In each of the temperature curves, the variance of all temperature data between every two adjacent extreme points is obtained; the variance between all adjacent extreme points is integrated to obtain a frequent fluctuation parameter; According to the change trend parameter and the frequent fluctuation parameter, the frequent change parameter of each temperature curve is obtained; the change trend parameter and the frequent fluctuation parameter are both positively correlated with the frequent change parameter.

5. The automatic temperature control system of a reactor for treating waste resin by molten salt oxidation according to claim 1, characterized in that: The method for obtaining the temperature control delay response parameter includes: The average of the time corresponding to the maximum peak value in all the temperature curves is used as the temperature control feedback time, and the reference response time of the temperature control feedback time is screened out from all the historical temperature control response times, and the reference response time is after the temperature control feedback time in terms of timing; when all the historical temperature control response times are less than the temperature control feedback time, the current time is used as the reference response time of the temperature control feedback time; The time interval between the reference response moment and the temperature control feedback moment is used as the temperature control delayed response parameter of the reactor at the current moment.

6. The automatic temperature control system of a reactor for treating waste resin by molten salt oxidation according to claim 1, characterized in that: The method for obtaining the fusion temperature curve includes: All the temperature curves are fused based on the average method in model fusion to obtain a fused temperature curve.

7. The automatic temperature control system of a reactor for treating waste resin by molten salt oxidation according to claim 1, characterized in that: The method for controlling the temperature of the reactor according to the temperature control adjustment coefficient includes: At the current moment, the P parameter of the PID controller in the reactor temperature control system is obtained; a constant 1 is added to the temperature control adjustment coefficient as a parameter adjustment weight; the P parameter is weighted by using the parameter adjustment weight, and the weighted result is used as a modified P parameter; the temperature of the reactor is controlled in real time based on the modified P parameter and the PID controller.

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