A temperature control system for pickling reactor used in quartz sand production

Abstract

The present invention belongs to the technical field of quartz sand pickling control, and discloses a temperature control system for a pickling reactor for quartz sand production, the system comprising a temperature information acquisition module, a temperature distribution control module, a temperature control demand analysis module, a temperature control confirmation module and a data storage library. The present invention divides the reactor into monitoring areas, and then uses an infrared thermal imager to monitor the temperature of each monitoring area, and judges whether there is a temperature control demand in each monitoring area. This analysis method can make temperature control judgments for different monitoring areas, avoid temperature control analysis deviations caused by local temperature anomalies, and improve the accuracy of temperature control analysis and monitoring quality. At the same time, the present invention considers the impact of the effective pickling time on the temperature control demand when performing temperature control demand analysis. This temperature control demand analysis method avoids unnecessary temperature control, reduces the waste of resources and time, and improves the consistency of product quality.

Description

Technical Field

[0001] The invention belongs to the technical field of quartz sand pickling control and relates to a temperature control system of a pickling reactor for quartz sand production. Background Art

[0002] Quartz sand is a natural mineral mainly composed of silicon dioxide. The production process of quartz sand usually includes mining, crushing, grinding, cleaning, drying and pickling. Pickling is used to remove impurities on the surface and inside of quartz sand, which can significantly improve the quality of quartz sand. In practice, because the acid used in the pickling process is highly corrosive and irritating, and may even produce toxic gases, it is usually necessary to carry out the process in a pickling reactor. In practice, temperature has an important influence on pickling efficiency, quality and process safety, so it is of great significance to control the temperature of the pickling reactor used in quartz sand production.

[0003] In the temperature monitoring process of the traditional pickling reactor used in quartz sand production, fixed temperature monitoring equipment is usually used to monitor the overall temperature of the reactor. This temperature monitoring method can only reflect the local temperature in the reactor, and cannot fully reflect the overall temperature distribution inside the reactor, which reduces the accuracy and quality of temperature monitoring, may lead to differences in reaction rate and product quality, may lead to unnecessary temperature control, increase resource consumption, and unreasonable temperature control may cause production safety accidents.

[0004] The temperature control of the traditional pickling reactor used in quartz sand production usually regulates the temperature within a fixed pickling time, but ignores the impact of the effective pickling time on the temperature control requirements. This temperature control method still adjusts the temperature after the effective pickling time has reached the standard, resulting in a waste of time and resources. Failure to consider the actual progress of the reaction may cause different batches of quartz sand to have different purities, affecting the consistency of product quality. Summary of the invention

[0005] In view of this, in order to solve the problems raised in the above background technology, a temperature control system of a pickling reactor for quartz sand production is now proposed.

[0006] The purpose of the present invention can be achieved through the following technical solutions: A temperature control system for a pickling reactor for quartz sand production, comprising: a temperature information acquisition module, which is used to divide the internal space area of ​​the reactor into several monitoring areas, and use an infrared thermal imager to monitor the temperature of each monitoring area in real time.

[0007] The temperature distribution control module is used to analyze the temperature distribution of the reactor based on the temperature of each monitoring area, and then determine whether the reactor needs to be stirred. If necessary, the stirring device of the reactor is used to perform stirring operations.

[0008] The temperature control demand analysis module is used to analyze the reference pickling temperature of each pickling time based on the historical pickling records, and then analyze the temperature deviation and effective pickling time based on the temperature of each monitoring area, so as to determine whether the reactor needs to be temperature controlled.

[0009] The temperature control confirmation module is used to further identify specific temperature control operations when it is determined that temperature control is required. The temperature control operations include heating and cooling, and then perform heating parameter analysis or cooling parameter analysis, and perform temperature control operations on the reactor based on the analysis results.

[0010] The data repository is used to store historical pickling records, historical temperature control records, effective pickling temperature ranges for quartz sands of various purities, and effective pickling time that meets the standards.

[0011] In a preferred embodiment of the present invention, the analysis of the temperature distribution of the reactor is specifically as follows: extracting the temperature of each monitoring area obtained by using an infrared thermal imager, and then calculating the average temperature of each monitoring area to obtain the average temperature of the reactor.

[0012] The temperature of each monitoring area is calculated by difference with the average temperature to obtain the deviation temperature of each monitoring area, and then the absolute value of the deviation temperature of each monitoring area is calculated by ratio with the temperature of the corresponding monitoring area to obtain the temperature deviation degree of each monitoring area.

[0013] The temperature deviation of each monitoring area is averaged to obtain the temperature distribution anomaly index of the reactor.

[0014] In a preferred embodiment of the present invention, the determination of whether the reactor needs to be stirred is specifically as follows: the temperature distribution anomaly index of the reactor is compared with a preset temperature distribution anomaly index threshold to obtain a determination result of whether the reactor needs to be stirred.

[0015] In a preferred embodiment of the present invention, the reference pickling temperature for analyzing each pickling time is specifically as follows: the quartz sand of this pickling operation is recorded as current quartz sand, the purity of the current quartz sand is obtained from the quartz sand procurement information, and then the weight of the current quartz sand is obtained using a weight detection device.

[0016] Each historical pickling record is extracted from the data repository, and the quartz sand weight, quartz sand purity and pickling efficiency corresponding to each historical pickling record are obtained, the pickling efficiency corresponding to each historical pickling record is compared with a preset qualified pickling efficiency threshold to obtain the qualified historical pickling record, and the quartz sand weight and quartz sand purity corresponding to each qualified historical pickling record are compared with the weight and purity of the current quartz sand to obtain the quartz sand weight matching coefficient and quartz sand purity matching coefficient of each qualified historical pickling record.

[0017] The quartz sand weight matching coefficient and the quartz sand purity matching coefficient of each qualified historical pickling record are compared with a preset success matching coefficient threshold, and the successfully matched qualified historical pickling record is recorded as a reference historical pickling record.

[0018] The reference pickling temperature for each pickling time is obtained by calculating the average value of the temperature of each reference historical pickling record corresponding to each pickling time.

[0019] In a preferred embodiment of the present invention, the temperature deviation analysis is specifically as follows: the pickling time corresponding to the current moment is matched with the reference pickling temperature of each pickling time to obtain the reference pickling temperature of the current moment.

[0020] The difference between the current temperature of each monitoring area and the reference pickling temperature is calculated to obtain the monitoring temperature deviation of each monitoring area, and then the ratio of the monitoring temperature deviation of each monitoring area to the reference pickling temperature is calculated to obtain the temperature deviation degree of each monitoring area.

[0021] In a preferred embodiment of the present invention, the effective pickling time analysis is specifically as follows: the current purity of quartz sand is matched with the effective pickling temperature sections of quartz sands of various purities stored in the data repository to obtain the current effective pickling temperature section of quartz sand, and recorded as the reference effective pickling temperature section.

[0022] Taking the start time of pickling as the starting time, the temperature change information of each monitoring area from the starting time to the current time is obtained, and then the temperature change curve of each monitoring area is drawn with time as the horizontal axis and temperature as the vertical axis.

[0023] The ordinate of each temperature change curve is compared with the reference effective pickling temperature segment, and then the effective curve segment of each temperature change curve is screened out. The horizontal coordinates of the end point and the starting point of each effective curve segment are calculated by difference to obtain the effective pickling time corresponding to each effective curve segment. The effective pickling time corresponding to each effective curve segment is accumulated and calculated to obtain the effective pickling time of each monitoring area.

[0024] In a preferred embodiment of the present invention, the determination of whether the reactor needs to be temperature controlled is specifically as follows: the purity of the current quartz sand is matched with the effective pickling time of quartz sands of various purities stored in the data storage library to obtain the reference effective pickling time of the current quartz sand.

[0025] The difference between the reference effective pickling time and the effective pickling time of each monitoring area is calculated to obtain the effective pickling time deviation of each monitoring area, and then the ratio of the effective pickling time deviation of each monitoring area to the reference effective pickling time is calculated to obtain the pickling time deviation degree of each monitoring area.

[0026] The absolute value of the temperature deviation and the pickling time deviation of each monitoring area are compared with the preset deviation threshold to obtain a judgment result on whether each monitoring area needs temperature control.

[0027] The monitored areas that are judged to need temperature control are recorded as areas to be controlled. The number of areas to be controlled is counted, and the proportion of the number of areas to be controlled is calculated compared with the total number of monitored areas to obtain the proportion of the number of areas to be controlled, and then the judgment result of whether the reactor needs to be temperature controlled is obtained.

[0028] In a preferred embodiment of the present invention, the identification of a specific temperature control operation is specifically as follows: the temperature deviation corresponding to each area to be controlled is averaged to obtain an average temperature deviation; if the sign of the average temperature deviation is positive, a cooling operation is performed; if the sign of the average temperature deviation is negative, a heating operation is performed.

[0029] In a preferred embodiment of the present invention, the heating parameter analysis is specifically as follows: if the specific temperature control operation is a heating operation, then the historical temperature control records with the adjustment type being the heating operation are obtained from the historical temperature control records stored in the data repository, and the heating efficiency and heating parameters corresponding to each historical temperature control record are obtained, and then the heating efficiency of each historical temperature control record is compared with the pre-set standard heating efficiency to obtain the monitored historical temperature control record.

[0030] The heating efficiencies corresponding to the same heating parameters are averaged to obtain the average heating efficiencies corresponding to the heating parameters.

[0031] The monitored temperature deviations of each monitoring area are averaged to obtain the required control temperature of the reactor at the current moment, and then the actual heating efficiency is obtained by ratio calculation with the preset ideal temperature control time.

[0032] The actual heating efficiency is matched with the average heating efficiency corresponding to each heating parameter to obtain the heating parameter at the current moment.

[0033] In a preferred embodiment of the present invention, the cooling parameter analysis is specifically as follows: if the specific temperature control operation is a cooling operation, then the historical temperature control records with the adjustment type being the cooling operation are obtained from the historical temperature control records stored in the data repository, and the cooling efficiency and cooling parameters corresponding to each reference historical temperature control record are obtained, and then the cooling efficiency of each historical temperature control record is compared with the pre-set standard cooling efficiency to obtain the monitored historical cooling control record.

[0034] The cooling efficiencies corresponding to the same cooling parameters are averaged to obtain the average cooling efficiencies corresponding to the cooling parameters.

[0035] The monitored temperature deviations of each monitoring area are averaged to obtain the required control temperature of the reactor at the current moment, and then the actual cooling efficiency is obtained by ratio calculation with the preset ideal temperature control time.

[0036] The actual cooling efficiency is matched with the average cooling efficiency corresponding to each cooling parameter to obtain the cooling parameter at the current moment.

[0037] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) The present invention divides the reactor into monitoring areas, and then uses an infrared thermal imager to monitor the temperature of each monitoring area, and determines whether there is a temperature control requirement in each monitoring area, and performs temperature control based on the overall temperature control requirement. This analysis method can make temperature control judgments for different parts of the reactor, avoid temperature control analysis deviations caused by local temperature anomalies, and fully reflect the overall temperature distribution inside the reactor, thereby improving the accuracy of temperature control analysis and monitoring quality, avoiding differences in reaction rate and product quality, and at the same time reducing unnecessary temperature control and reducing resource consumption.

[0038] (2) The present invention takes into account the impact of the effective pickling time on the temperature control demand when performing temperature control demand analysis. When the effective pickling time reaches the requirement, the temperature control is stopped. This temperature control demand analysis method avoids unnecessary temperature control and reduces the waste of resources and time. Through standardized temperature control and analysis of the effective pickling time, it can ensure that each batch of products meets the same standards, thereby improving the consistency of product quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0040] Figure 1 It is a schematic diagram of the connection of each module of the system of the present invention.

[0041] Figure 2 It is a schematic diagram of monitoring area division of the present invention.

[0042] Reference numerals:

[0043] 1——monitoring area, 2——outer wall of pickling reactor, 3——center line. DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0045] See also Figure 1 As shown, the present invention provides a temperature control system for a pickling reactor for quartz sand production, the system comprising a temperature information acquisition module, a temperature distribution regulation module, a temperature control demand analysis module, a temperature control confirmation module and a data storage library, wherein the temperature information acquisition module is respectively connected to the temperature distribution regulation module and the temperature control demand analysis module, the temperature control demand analysis module is connected to the temperature control confirmation module, and the data storage library is respectively connected to the temperature control demand analysis module and the temperature control confirmation module.

[0046] The temperature information acquisition module is used to divide the internal space area of ​​the reactor into a plurality of monitoring areas, and use an infrared thermal imager to monitor the temperature of each monitoring area in real time.

[0047] It should be added that the monitoring area division steps are as follows: Figure 2 As shown, a number of planes are emitted to the surrounding areas with the center line of the reactor as the starting line, each plane forms an intersection line with the inner wall of the reactor, and the area between the planes is the monitoring area.

[0048] It should be added that the specific method of using an infrared thermal imager to monitor the temperature of each monitoring area in real time is as follows: use an infrared thermal imager to obtain a thermal image of the reactor in real time, divide the thermal image according to the contour of the monitoring area to obtain a thermal image of each monitoring area, divide the thermal image of each monitoring area according to color areas, and match the chromaticity value of each color area with the temperature corresponding to each pre-saved chromaticity value to obtain the heat value of each color area in the thermal image.

[0049] The area of ​​each color area is obtained by using image processing software, and the area of ​​each color area is calculated by the ratio of the area of ​​the corresponding monitoring area to obtain the area ratio of each color area, and then the product of the area ratio of each color area and the temperature value is accumulated to obtain the temperature of each monitoring area.

[0050] It should be noted that the reason for using an infrared thermal imager to monitor the internal temperature of the reactor is that the infrared thermal imager does not need to be in direct contact with the internal materials of the reactor to measure the temperature, which avoids interference with the reaction process. At the same time, it can monitor the temperature of multiple points at the same time and provide a temperature distribution map of the entire reactor surface or interior.

[0051] The temperature distribution control module is used to analyze the temperature distribution of the reactor based on the temperature of each monitoring area, and then determine whether the reactor needs to be stirred. If necessary, stirring is performed using the stirring device of the reactor.

[0052] It should be noted that the reason for conducting stirring demand analysis before temperature control analysis is to avoid the influence of uneven temperature distribution on the subsequent temperature control demand analysis. After the stirring operation, the temperatures of each monitoring area of ​​the reactor are similar.

[0053] Preferably, the temperature distribution of the reactor is analyzed as follows: the temperature of each monitoring area obtained by an infrared thermal imager is extracted, and then the temperature of each monitoring area is averaged to obtain the average temperature of the reactor.

[0054] The temperature of each monitoring area is calculated by difference with the average temperature to obtain the deviation temperature of each monitoring area, and then the absolute value of the deviation temperature of each monitoring area is calculated by ratio with the temperature of the corresponding monitoring area to obtain the temperature deviation degree of each monitoring area.

[0055] The temperature deviation of each monitoring area is averaged to obtain the temperature distribution anomaly index of the reactor.

[0056] Preferably, the determination of whether the reactor needs to be stirred is specifically as follows: comparing the temperature distribution abnormality index of the reactor with a preset temperature distribution abnormality index threshold to obtain a determination result of whether the reactor needs to be stirred.

[0057] It should be added that if the temperature distribution anomaly index of the reactor is greater than the temperature distribution anomaly index threshold, it is determined that the reactor needs to be stirred; if the temperature distribution anomaly index of the reactor is less than or equal to the temperature distribution anomaly index threshold, it is determined that the reactor does not need to be stirred.

[0058] Exemplarily, the temperature distribution anomaly index threshold is 0.25.

[0059] The temperature control demand analysis module is used to analyze the reference pickling temperature of each pickling time based on the historical pickling records, and then perform temperature deviation analysis and effective pickling time analysis based on the temperature of each monitoring area, so as to determine whether the reactor needs to be temperature controlled.

[0060] Preferably, the reference pickling temperature for analyzing each pickling time is specifically as follows: the quartz sand of the pickling operation is recorded as the current quartz sand, the purity of the current quartz sand is obtained from the quartz sand procurement information, and then the weight of the current quartz sand is obtained using a weight detection device.

[0061] It should be noted that the purity of quartz sand is one of the key indicators to measure its quality, especially for high-purity quartz sand, its purity directly affects the performance of the final product. The main component of quartz sand is silicon dioxide, and its purity usually refers to the silicon dioxide content and the amount of impurities it contains.

[0062] Exemplarily, the purity of the quartz sand is 55%.

[0063] Each historical pickling record is extracted from the data repository, and the quartz sand weight, quartz sand purity and pickling efficiency corresponding to each historical pickling record are obtained, the pickling efficiency corresponding to each historical pickling record is compared with a preset qualified pickling efficiency threshold to obtain the qualified historical pickling record, and the quartz sand weight and quartz sand purity corresponding to each qualified historical pickling record are compared with the weight and purity of the current quartz sand to obtain the quartz sand weight matching coefficient and quartz sand purity matching coefficient of each qualified historical pickling record.

[0064] Exemplarily, the acceptable pickling efficiency threshold is 5% / h.

[0065] It should be explained that the pickling efficiency refers to the change in the purity of quartz sand per unit time.

[0066] It should be noted that the weight and purity of quartz sand affect the reaction temperature: 1. The weight of quartz sand will affect the heat capacity of the reaction system. Heavier quartz sand requires more energy to heat, which may affect the heating speed of the reactor and the required energy consumption. 2. The high purity of quartz sand means low impurity content, which can reduce the occurrence of side reactions and improve the efficiency of the main reaction. Quartz sand with higher purity can participate in the reaction more effectively in chemical reactions, which may affect the rate of heat release or heat absorption of the reaction, thereby affecting the reaction temperature.

[0067] The quartz sand weight matching coefficient and the quartz sand purity matching coefficient of each qualified historical pickling record are compared with a preset success matching coefficient threshold, and the successfully matched qualified historical pickling record is recorded as a reference historical pickling record.

[0068] It should be added that if the quartz sand weight matching coefficient and the quartz sand purity matching coefficient of a certain qualified historical pickling record are both greater than or equal to the success matching coefficient threshold, then the historical pickling record is judged to be matched successfully; if either the quartz sand weight matching coefficient and the quartz sand purity matching coefficient of a certain qualified historical pickling record is less than the success matching coefficient threshold, then the historical pickling record is judged to have failed to match.

[0069] Exemplarily, the success matching coefficient threshold is 0.85.

[0070] The reference pickling temperature for each pickling time is obtained by calculating the average value of the temperature of each reference historical pickling record corresponding to each pickling time.

[0071] It should be added that the pickling time refers to the time from the start of pickling to the current time.

[0072] Preferably, the temperature deviation analysis is specifically as follows: the pickling time corresponding to the current moment is matched with the reference pickling temperature of each pickling time to obtain the reference pickling temperature of the current moment.

[0073] The difference between the current temperature of each monitoring area and the reference pickling temperature is calculated to obtain the monitoring temperature deviation of each monitoring area, and then the ratio of the monitoring temperature deviation of each monitoring area to the reference pickling temperature is calculated to obtain the temperature deviation degree of each monitoring area.

[0074] Preferably, the effective pickling time analysis is specifically as follows: the current purity of quartz sand is matched with the effective pickling temperature sections of quartz sands of various purities stored in the data repository to obtain the current effective pickling temperature section of quartz sand, and record it as the reference effective pickling temperature section.

[0075] Exemplarily, the effective pickling temperature range is [70°C, 80°C].

[0076] It should be noted that the reason why a certain temperature needs to be maintained during the pickling operation of quartz sand is: 1. A certain temperature can increase the movement speed of molecules, thereby accelerating the rate of chemical reactions. During the pickling process, a higher temperature can accelerate the chemical reaction between the acid and impurities on the surface of the quartz sand (such as iron, aluminum, etc.) and increase the dissolution rate of impurities. The increase in temperature helps to increase the diffusion rate of substances, allowing the acid to penetrate deeper into the pores of the quartz sand and remove deep impurities, thereby improving the thoroughness of pickling.

[0077] Taking the start time of pickling as the starting time, the temperature change information of each monitoring area from the starting time to the current time is obtained, and then the temperature change curve of each monitoring area is drawn with time as the horizontal axis and temperature as the vertical axis.

[0078] The ordinate of each temperature change curve is compared with the reference effective pickling temperature segment, and then the effective curve segment of each temperature change curve is screened out. The horizontal coordinates of the end point and the starting point of each effective curve segment are calculated by difference to obtain the effective pickling time corresponding to each effective curve segment. The effective pickling time corresponding to each effective curve segment is accumulated and calculated to obtain the effective pickling time of each monitoring area.

[0079] It should be noted that the reason for drawing the temperature change curve of each monitoring area when conducting effective pickling time analysis is: the temperature change curve can intuitively show the change of temperature over time during the pickling process, and can monitor whether the optimal pickling temperature is reached and maintained to ensure the reaction rate and effect.

[0080] Preferably, the determination of whether the reactor needs to be temperature controlled is specifically as follows: the purity of the current quartz sand is matched with the effective pickling time of quartz sands of various purities stored in the data storage library to obtain a reference effective pickling time of the current quartz sand.

[0081] Exemplarily, the effective pickling time to meet the standard is 5.5 hours.

[0082] The difference between the reference effective pickling time and the effective pickling time of each monitoring area is calculated to obtain the effective pickling time deviation of each monitoring area, and then the ratio of the effective pickling time deviation of each monitoring area to the reference effective pickling time is calculated to obtain the pickling time deviation degree of each monitoring area.

[0083] The absolute value of the temperature deviation and the pickling time deviation of each monitoring area are compared with the preset deviation threshold to obtain a judgment result on whether each monitoring area needs temperature control.

[0084] Exemplarily, the deviation threshold is 0.15.

[0085] It should be added that if the absolute value of the temperature deviation and the pickling time deviation of a monitoring area are both greater than the deviation threshold, it is judged that temperature control is required; if either the pickling time deviation or the pickling time deviation is less than or equal to the deviation threshold, it is judged that temperature control is not required.

[0086] It should be noted that the present invention takes into account the impact of the effective pickling time on the temperature control demand when performing temperature control demand analysis. When the effective pickling time reaches the requirement, the temperature regulation is stopped. This temperature control demand analysis method avoids unnecessary temperature regulation and reduces the waste of resources and time. Through standardized temperature control and analysis of the effective pickling time, it can ensure that each batch of products meets the same standards and improves the consistency of product quality.

[0087] The monitored areas that are judged to need temperature control are recorded as areas to be controlled. The number of areas to be controlled is counted, and the proportion of the number of areas to be controlled is calculated compared with the total number of monitored areas to obtain the proportion of the number of areas to be controlled, and then the judgment result of whether the reactor needs to be temperature controlled is obtained.

[0088] It should be added that if the proportion of the number of areas to be regulated is less than or equal to 10%, it is determined that the temperature of the reactor does not need to be controlled; if the proportion of the number of areas to be regulated is greater than 10%, it is determined that the temperature of the reactor needs to be controlled.

[0089] It should be noted that the present invention provides a temperature distribution analysis of the reactor. When the temperature distribution is too large, stirring will be performed, thereby ensuring that the temperature difference of each monitoring area is small in practice. Therefore, when performing temperature control analysis, the temperature of each monitoring area is similar. Therefore, the temperature of the reactor needs to be controlled only when there are temperature anomalies in more monitoring areas.

[0090] It should be noted that the present invention divides the reactor into monitoring areas, and then uses an infrared thermal imager to monitor the temperature of each monitoring area, and determines whether there is a temperature control demand in each monitoring area, and performs temperature control based on the overall temperature control demand. This analysis method can perform temperature control judgments on different parts of the reactor, avoid temperature control analysis deviations caused by local temperature anomalies, and fully reflect the overall temperature distribution inside the reactor, thereby improving the accuracy of temperature control analysis and monitoring quality, avoiding differences in reaction rate and product quality, and at the same time reducing unnecessary temperature control and reducing resource consumption.

[0091] The temperature control confirmation module is used to further identify specific temperature control operations when it is determined that temperature control is required. The temperature control operations include heating and cooling, and then perform heating parameter analysis or cooling parameter analysis, and perform temperature control operations on the reactor based on the analysis results.

[0092] Preferably, the identification of a specific temperature control operation is as follows: the temperature deviations corresponding to the areas to be controlled are averaged to obtain an average temperature deviation; if the sign of the average temperature deviation is positive, a cooling operation is performed; if the sign of the average temperature deviation is negative, a heating operation is performed.

[0093] Preferably, the heating parameter analysis is as follows: if the specific temperature control operation is a heating operation, then the historical temperature control records with the adjustment type of heating operation are obtained from the historical temperature control records saved in the data repository, and the heating efficiency and heating parameters corresponding to each historical temperature control record are obtained, and then the heating efficiency of each historical temperature control record is compared with the pre-set standard heating efficiency to obtain the monitored historical temperature control record.

[0094] As an embodiment of the above solution, the heating operation may be electric heating, and the corresponding heating parameter is heating power.

[0095] It should be added that if the heating efficiency of a historical temperature control record is greater than or equal to the standard heating efficiency, the historical temperature control record will be recorded as a monitored historical temperature control record. For example, the standard heating efficiency is 5°C / min.

[0096] It should be explained that the heating efficiency refers to the temperature rise per unit time.

[0097] The heating efficiencies corresponding to the same heating parameters are averaged to obtain the average heating efficiencies corresponding to the heating parameters.

[0098] The monitored temperature deviations of each monitoring area are averaged to obtain the required control temperature of the reactor at the current moment, and then the actual heating efficiency is obtained by ratio calculation with the preset ideal temperature control time.

[0099] Exemplarily, the ideal temperature control time is 2 minutes.

[0100] The actual heating efficiency is matched with the average heating efficiency corresponding to each heating parameter to obtain the heating parameter at the current moment.

[0101] It should be noted that when operating the temperature control of the reactor in the pickling operation, the reasons for choosing adaptive temperature control efficiency instead of maximum temperature control efficiency are: 1. Chemical reactions often need to be carried out within a specific temperature range to achieve the best results. Adaptive temperature control efficiency means that the system can accurately maintain the required reaction temperature, rather than just changing the temperature quickly, so as to ensure that the reactant conversion rate and product purity reach the expected goals. 2. Maximum temperature control efficiency may mean using more energy for heating or cooling, which not only increases operating costs, but may also cause unnecessary burdens on the environment. Adaptive control pays more attention to the rational use of energy and reduces waste.

[0102] Preferably, the cooling parameter analysis is specifically as follows: if the specific temperature control operation is a cooling operation, then the historical temperature control records with the adjustment type being cooling operation are obtained from the historical temperature control records stored in the data repository, and the cooling efficiency and cooling parameters corresponding to each reference historical temperature control record are obtained, and then the cooling efficiency of each historical temperature control record is compared with the pre-set standard cooling efficiency to obtain the monitored historical cooling control record.

[0103] As an embodiment of the above solution, the specific cooling operation may be water circulation cooling, and the corresponding cooling parameter is the water circulation speed.

[0104] The cooling efficiencies corresponding to the same cooling parameters are averaged to obtain the average cooling efficiencies corresponding to the cooling parameters.

[0105] It should be explained that cooling efficiency refers to the amount of temperature reduction per unit time.

[0106] The monitored temperature deviations of each monitoring area are averaged to obtain the required control temperature of the reactor at the current moment, and then the actual cooling efficiency is obtained by ratio calculation with the preset ideal temperature control time.

[0107] The actual cooling efficiency is matched with the average cooling efficiency corresponding to each cooling parameter to obtain the cooling parameter at the current moment.

[0108] The data repository is used to store historical pickling records, historical temperature control records, effective pickling temperature sections for quartz sands of various purities, and effective pickling durations that meet standards.

[0109] The above contents are merely examples and explanations of the concept of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.

Claims

1. A temperature control system for a pickling reactor for quartz sand production, characterized in that: include: The temperature information acquisition module is used to divide the internal space of the reactor into several monitoring areas and use an infrared thermal imager to monitor the temperature of each monitoring area in real time; The temperature distribution control module is used to analyze the temperature distribution of the reactor based on the temperature of each monitoring area, and then determine whether the reactor needs to be stirred. If necessary, stirring is performed using the stirring device of the reactor; The temperature control demand analysis module is used to analyze the reference pickling temperature of each pickling time based on the historical pickling records, and then analyze the temperature deviation and effective pickling time based on the temperature of each monitoring area, so as to determine whether the reactor needs to be temperature controlled; A temperature control confirmation module is used to further identify specific temperature control operations when it is determined that temperature control is required, wherein the temperature control operations include heating and cooling, and then perform heating parameter analysis or cooling parameter analysis, and perform temperature control operations on the reactor based on the analysis results; Data repository, used to store historical pickling records, historical temperature control records, effective pickling temperature ranges for quartz sands of various purity levels, and effective pickling time that meets the standards; The reference pickling temperatures for analyzing the pickling time are as follows: The quartz sand of the pickling operation is recorded as the current quartz sand, the purity of the current quartz sand is obtained from the quartz sand procurement information, and then the weight of the current quartz sand is obtained by using a weight detection device; Extract each historical pickling record from the data repository, and obtain the quartz sand weight, quartz sand purity and pickling efficiency corresponding to each historical pickling record, compare the pickling efficiency corresponding to each historical pickling record with a preset qualified pickling efficiency threshold to obtain the qualified historical pickling record, and compare the quartz sand weight and quartz sand purity corresponding to each qualified historical pickling record with the weight and purity of the current quartz sand to obtain the quartz sand weight matching coefficient and quartz sand purity matching coefficient of each qualified historical pickling record; The quartz sand weight matching coefficient and the quartz sand purity matching coefficient of each qualified historical pickling record are compared with a preset success matching coefficient threshold, and the successfully matched qualified historical pickling record is recorded as a reference historical pickling record; The reference pickling temperature for each pickling time is obtained by calculating the average value of the temperature of each reference historical pickling record corresponding to each pickling time; The effective pickling time analysis is as follows: The purity of the current quartz sand is matched with the effective pickling temperature sections of quartz sands of various purities stored in the data repository to obtain the effective pickling temperature section of the current quartz sand, and recorded as the reference effective pickling temperature section; Taking the start time of pickling as the starting time, obtaining the temperature change information of each monitoring area from the starting time to the current time, and then drawing the temperature change curve of each monitoring area with time as the horizontal axis and temperature as the vertical axis; The ordinate of each temperature change curve is compared with the reference effective pickling temperature segment, and then the effective curve segment of each temperature change curve is screened out. The horizontal coordinates of the end point and the starting point of each effective curve segment are calculated by difference to obtain the effective pickling time corresponding to each effective curve segment. The effective pickling time corresponding to each effective curve segment is accumulated and calculated to obtain the effective pickling time of each monitoring area.

2. A temperature control system for a pickling reactor for producing quartz sand according to claim 1, characterized in that: The temperature distribution of the analytical reactor is as follows: Extract the temperature of each monitoring area obtained by using an infrared thermal imager, and then calculate the average temperature of each monitoring area to obtain the average temperature of the reactor; The temperature of each monitoring area is calculated by the difference between the temperature and the average temperature to obtain the deviation temperature of each monitoring area, and then the absolute value of the deviation temperature of each monitoring area is calculated by the ratio of the temperature of the corresponding monitoring area to obtain the temperature deviation degree of each monitoring area; The temperature deviation of each monitoring area is averaged to obtain the temperature distribution anomaly index of the reactor.

3. A temperature control system for a pickling reactor for quartz sand production as claimed in claim 2, characterized in that: The determination of whether the reactor needs to be stirred is as follows: The temperature distribution anomaly index of the reactor is compared with a preset temperature distribution anomaly index threshold to obtain a judgment result on whether the reactor needs to be stirred.

4. A temperature control system for a pickling reactor for producing quartz sand according to claim 1, characterized in that: The temperature deviation analysis is as follows: The pickling time corresponding to the current moment is matched with the reference pickling temperature of each pickling time to obtain the reference pickling temperature of the current moment; The difference between the current temperature of each monitoring area and the reference pickling temperature is calculated to obtain the monitoring temperature deviation of each monitoring area, and then the ratio of the monitoring temperature deviation of each monitoring area to the reference pickling temperature is calculated to obtain the temperature deviation degree of each monitoring area.

5. A temperature control system for a pickling reactor for producing quartz sand according to claim 1, characterized in that: The determination of whether the temperature of the reactor needs to be controlled is as follows: The purity of the current quartz sand is matched with the effective pickling time of quartz sand of various purity levels stored in the data repository to obtain the reference effective pickling time of the current quartz sand; The difference between the reference effective pickling time and the effective pickling time of each monitoring area is calculated to obtain the effective pickling time deviation of each monitoring area, and then the effective pickling time deviation of each monitoring area is calculated to obtain the pickling time deviation degree of each monitoring area by comparing the effective pickling time deviation of each monitoring area with the reference effective pickling time. The absolute value of the temperature deviation and the pickling time deviation of each monitoring area are compared with the preset deviation threshold to obtain the judgment result of whether each monitoring area needs temperature control; The monitored areas that are judged to need temperature control are recorded as areas to be controlled. The number of areas to be controlled is counted, and the proportion of the number of areas to be controlled is calculated compared with the total number of monitored areas to obtain the proportion of the number of areas to be controlled, and then the judgment result of whether the reactor needs to be temperature controlled is obtained.

6. A temperature control system for a pickling reactor for producing quartz sand as claimed in claim 5, characterized in that: The specific identification of the temperature control operation is as follows: The temperature deviations corresponding to the areas to be controlled are averaged to obtain an average temperature deviation. If the sign of the average temperature deviation is positive, a cooling operation is performed; if the sign of the average temperature deviation is negative, a heating operation is performed.

7. A temperature control system for a pickling reactor for producing quartz sand as claimed in claim 6, characterized in that: The heating parameter analysis is as follows: If the specific temperature control operation is a heating operation, then the historical temperature control records whose adjustment type is a heating operation are obtained from the historical temperature control records stored in the data repository, and the heating efficiency and heating parameters corresponding to each historical temperature control record are obtained, and then the heating efficiency of each historical temperature control record is compared with the preset standard heating efficiency to obtain the monitored historical temperature control record; The heating efficiencies corresponding to the same heating parameters are averaged to obtain the average heating efficiencies corresponding to the heating parameters; The monitored temperature deviations of each monitoring area are averaged to obtain the required control temperature of the reactor at the current moment, and then the actual heating efficiency is obtained by ratio calculation with the preset ideal temperature control time; The actual heating efficiency is matched with the average heating efficiency corresponding to each heating parameter to obtain the heating parameter at the current moment.

8. A temperature control system for a pickling reactor for producing quartz sand as claimed in claim 6, characterized in that: The cooling parameter analysis is as follows: If the specific temperature control operation is a cooling operation, then the historical temperature control records with the adjustment type of cooling operation are obtained from the historical temperature control records stored in the data repository, and the cooling efficiency and cooling parameters corresponding to each reference historical temperature control record are obtained, and then the cooling efficiency of each historical temperature control record is compared with the preset standard cooling efficiency to obtain the monitored historical cooling control record; The cooling efficiency corresponding to each same cooling parameter is averaged to obtain the average cooling efficiency corresponding to each cooling parameter; The monitored temperature deviations of each monitoring area are averaged to obtain the required control temperature of the reactor at the current moment, and then the actual cooling efficiency is obtained by ratio calculation with the preset ideal temperature control time; The actual cooling efficiency is matched with the average cooling efficiency corresponding to each cooling parameter to obtain the cooling parameter at the current moment.

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