A drying tower energy-saving control method and control device for xanthate production

Abstract

The present invention relates to the field of xanthate drying control, and more specifically, to a method and device for energy-saving control of a drying tower for xanthate production. The method first obtains the energy consumption coefficient of each historical drying process based on the temperature and energy consumption data of a heating device in a control device at different time periods during each historical drying process. The drying efficiency of each historical drying process is then determined by combining the differences in material moisture data and material weight data before and after each historical drying process, as well as the energy consumption coefficient. Historical drying processes with the same material moisture data and weight data before and after the drying process are classified into the same category. Reference temperature data for different reference time periods is selected from each category. Energy-saving control is then performed on the material drying process during the current drying process based on the reference temperature data for different reference time periods across all categories. The present invention maintains reasonable energy consumption while ensuring a good drying effect.

Description

Technical Field

[0001] The invention relates to the field of xanthate drying control, and in particular to an energy-saving control method and a control device for a drying tower in xanthate production. Background Art

[0002] Xanthate is the common name for xanthate, an important organic sulfur compound in the industrial field. Xanthate needs to be dried during the production process. Drying can remove impurities such as moisture and unreacted alcohols in the xanthate to obtain a pure xanthate product. Undried xanthate has poor stability and is easy to decompose, which is not conducive to long-term storage. However, dried xanthate has improved stability and is easy to store and transport.

[0003] In the related art, high-temperature air is usually introduced into a drying tower, and the high-temperature air is used to evaporate the moisture of the materials in the xanthate production process, thereby drying the xanthate. However, in the actual drying process, it is difficult to accurately control the temperature of the high-temperature air introduced into the drying tower. When the xanthate is over-dried, it will lead to excessive energy consumption in the drying process. When too much emphasis is placed on energy saving during the drying process, it will lead to insufficient drying of the xanthate, which in turn causes the existing method to be unable to maintain reasonable energy consumption while ensuring the drying effect during the xanthate drying process. Summary of the Invention

[0004] In order to solve the technical problem that the existing method cannot maintain reasonable energy consumption under the premise of ensuring the drying effect during the xanthate drying process, the purpose of the present invention is to provide an energy-saving control method and control device for a drying tower in xanthate production. The technical solutions adopted are as follows:

[0005] The present invention provides a drying tower energy-saving control method for xanthate production, the method comprising:

[0006] Obtain the temperature data of different reaction chambers in the xanthate production drying tower at different time periods during each historical drying process, as well as the temperature data and energy consumption data of the heating device at different time periods during each historical drying process, and simultaneously obtain the material moisture data and material weight data before and after each historical drying process;

[0007] Taking any historical drying process as a target historical drying process, the energy consumption coefficient of the target historical drying process is obtained based on the temperature data and energy consumption data of the heating device at different time periods during the target historical drying process; the drying efficiency of the target historical drying process is obtained based on the difference in material moisture data and material weight data before and after the target historical drying process, as well as the energy consumption coefficient of the target historical drying process;

[0008] Classify historical drying processes with the same material moisture data and material weight data before the historical drying processes into the same category, take any category as a target category, and screen out reference historical drying processes in the target category based on the difference in temperature data of different reaction chambers in the same time period between each historical drying process and the next historical drying process in the target category and the difference in drying efficiency; obtain reference temperature data for different reference time periods in the target category based on the temperature data distribution of the heating device in the same time period of different reference historical drying processes in the target category and the drying efficiency of each reference historical drying process;

[0009] Energy-saving control is performed on the material drying in the current drying process according to the reference temperature data of different reference time periods in all categories.

[0010] Furthermore, the energy consumption coefficient of the target historical drying process is obtained, which includes:

[0011] Performing curve fitting on two-dimensional data points consisting of temperature data and energy consumption data of the heating device in each time period of the target historical drying process to obtain an energy consumption fitting curve of the target historical drying process, wherein the abscissa of each two-dimensional data point is the temperature data of the heating device in each time period of the target historical drying process, and the ordinate is the energy consumption data of the heating device in each time period of the target historical drying process;

[0012] Performing definite integral calculation on the energy consumption fitting curve to obtain a first energy consumption parameter of the target historical drying process;

[0013] an average value of the lengths of all time periods of the heating device during the target historical drying process as a second energy consumption parameter of the target historical drying process;

[0014] The first energy consumption parameter and the second energy consumption parameter are integrated to obtain an energy consumption coefficient of a target historical drying process.

[0015] Furthermore, obtaining the drying efficiency of the target historical drying process includes:

[0016] The material humidity data before the target historical drying process is used as the numerator, the material humidity data after the target historical drying process is used as the denominator, and the ratio is used as the first efficiency evaluation value of the target historical drying process;

[0017] The material weight data after the target historical drying process is used as the numerator, the material weight data before the target historical drying process is used as the denominator, and the ratio is used as the second efficiency evaluation value of the target historical drying process;

[0018] Performing negative correlation mapping on the energy consumption coefficient of the target historical drying process to obtain a third efficiency evaluation value of the target historical drying process;

[0019] The first efficiency evaluation value, the second efficiency evaluation value, and the third efficiency evaluation value of the target historical drying process are integrated to obtain the drying efficiency of the target historical drying process.

[0020] Furthermore, the step of selecting the reference historical drying process from the target category includes:

[0021] All historical drying processes in the target category are sorted in order of chronological order, and in the target category, the step temperature variation degree of each historical drying process in the target category is obtained based on the length difference of the same time period between each historical drying process and the next adjacent historical drying process and the difference in temperature data of the same time period in different reaction chambers;

[0022] In the target category, the absolute value of the difference between the drying efficiency of each historical drying process and the next adjacent historical drying process is used as the drying efficiency variation degree of each historical drying process in the target category;

[0023] The drying efficiency variation of each historical drying process in the target category is used as a numerator, the step temperature variation of each historical drying process in the target category and the sum of the preset adjustment parameters are used as a denominator, and the comparison value is normalized to obtain the drying influence coefficient of each historical drying process in the target category;

[0024] Based on the drying influence coefficient of each historical drying process in the target category, a reference historical drying process is screened out from all historical drying processes in the target category.

[0025] Furthermore, obtaining the step temperature variation of each historical drying process in the target category includes:

[0026] Based on the calculation formula of the step temperature variation, the step temperature variation of each historical drying process in the target category is obtained. The calculation formula based on the step temperature variation is:

[0027]

[0028] in, Indicates the target category The step temperature variation of a historical drying process; Indicates the The reaction bin is the first in the target category The first step in the historical drying process Temperature data for a period of time; Indicates the The reaction bin is the first in the target category The first step in the historical drying process the length of the time period; Indicates the The reaction bin is the first in the target category The first step in the historical drying process Temperature data for a period of time; Indicates the The reaction bin is the first in the target category The first step in the historical drying process the length of the time period; Indicates the number of reaction chambers in the drying tower; Indicates the The reaction bin is the first in the target category The number of time periods and the The minimum number of time periods in a historical drying process.

[0029] Furthermore, the step of selecting a reference historical drying process from all historical drying processes in the target category includes:

[0030] In the target category, the historical drying process whose drying influence coefficient is greater than the preset influence threshold is used as the reference historical drying process of the target category.

[0031] Furthermore, obtaining reference temperature data of different reference time periods in the target category includes:

[0032] Normalize the discrete degree of the temperature data of the same time period of all reference historical drying processes of the heating device in the target category to obtain the temperature disorder degree of each time period in the target category;

[0033] Based on the temperature disorder of each time period in the target category, a reference time period is selected from all time periods in the target category;

[0034] In the target category, the reference historical drying process corresponding to the maximum value of the drying efficiency is used as the candidate reference historical drying process of the target category;

[0035] The temperature data of the heating device in each reference time period during the selected reference historical drying process is used as the reference temperature data of each reference time period in the target category.

[0036] Furthermore, the step of selecting a reference time period from all time periods in the target category includes:

[0037] The time period in which the temperature disorder degree in the target category is greater than the preset disorder threshold is used as the reference time period of the target category.

[0038] Furthermore, the energy-saving control of material drying in the current drying process includes:

[0039] Selecting a reference category for the current drying process from all categories, wherein the material moisture data before the historical drying process in the reference category is the same as the material moisture data during the current drying process, and the material weight data before the historical drying process in the reference category is the same as the material weight data during the current drying process;

[0040] The material in the current drying process is dried using the reference temperature data of each reference time period in the reference category.

[0041] The present invention also proposes an energy-saving control device for a drying tower for xanthate production, the control device comprising a material storage area, a drying tower, a heating device and a control module, wherein a plurality of reaction chambers are provided inside the drying tower, the heating device being used to input high-temperature gas into each reaction chamber to dry the material in the reaction chamber, and the high-temperature gas discharged from the drying tower can enter the heating device again for recycling, humidity sensors are respectively installed between the material storage area and the drying tower and between the drying tower and the heating device to collect material humidity data before and after each historical drying process, a temperature sensor is installed in each reaction chamber to collect temperature data of each reaction chamber in different time periods of each historical drying process, a temperature sensor is installed between the heating device and the drying tower to collect temperature data of the gas ejected by the heating device in different time periods of each historical drying process, the control module is sampled and connected to each humidity sensor and each temperature sensor, and processes the acquired material humidity data and temperature data to implement any one of the steps of the energy-saving control method for a drying tower for xanthate production.

[0042] The present invention has the following beneficial effects:

[0043] The present invention takes into account that the existing methods cannot maintain reasonable energy consumption under the premise of ensuring the drying effect during the xanthate drying process. Therefore, the present invention first obtains the temperature data of different reaction chambers in the xanthate production drying tower at different time periods in each historical drying process, as well as the temperature data and energy consumption data of the heating device at different time periods in each historical drying process, and simultaneously obtains the material moisture data before and after each historical drying process, as well as the material weight data before each historical drying process, and preliminarily reflects the energy consumption degree of the target historical drying process through the obtained energy consumption coefficient. Subsequently, the drying efficiency of the target historical drying process can be accurately analyzed based on the energy consumption coefficient, and the efficiency of xanthate drying in the target historical drying process can be reflected through the obtained drying efficiency, thereby reflecting the efficiency of xanthate drying in the target historical drying process, and then the energy consumption coefficient before and after the historical drying process. Historical drying processes with the same material moisture data and the same material weight data are divided into the same category, so as to facilitate the subsequent selection of the best temperature data in the xanthate drying process in each category, and then screen out the reference historical drying processes whose drying efficiency is greatly affected by temperature in the target category, and further select the reference temperature data of each reference time period in the target category. When the xanthate with the material moisture data and material weight data corresponding to the target category is dried using the reference temperature data of each reference time period in the target category, it can ensure the drying effect while significantly reducing energy consumption. Then, the reference temperature data of different reference time periods in all categories can be used to perform energy-saving control on the material drying in the current drying process, so as to maintain reasonable energy consumption while ensuring the drying effect of the current material. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. 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 any creative work.

[0045] Figure 1 A flow chart of a drying tower energy-saving control method for xanthate production provided by one embodiment of the present invention;

[0046] Figure 2 This is a structural diagram of an energy-saving control device for a drying tower in xanthate production provided by one embodiment of the present invention.

[0047] Figure numerals: 1-material storage area, 2-humidity sensor, 3-liquid pump, 4-air compression device, 5-temperature sensor, 6-air flow nozzle, 7-heating device, 8-heat cycle gas treatment device, 9-secondary separation device, 10-cyclone separator, 11-drying tower, 12-pressure nozzle, a-residual hot air from heat cycle, b-air injected from the outside. DETAILED DESCRIPTION

[0048] To further illustrate the technical means and effectiveness of the present invention in achieving its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the energy-saving control method and control device for a drying tower in xanthate production, including its specific implementation, structure, features, and effectiveness. In the following description, references to "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

[0049] 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.

[0050] The following describes in detail a method for controlling energy conservation in a drying tower and a control device for controlling xanthate production provided by the present invention in conjunction with the accompanying drawings.

[0051] See also Figure 1 , which shows a flow chart of a drying tower energy-saving control method for xanthate production provided by one embodiment of the present invention, the method comprising:

[0052] Step S1: Obtain the temperature data of different reaction chambers in the xanthate production drying tower at different time periods of each historical drying process, as well as the temperature data and energy consumption data of the heating device at different time periods of each historical drying process, and simultaneously obtain the material moisture data and material weight data before and after each historical drying process.

[0053] The embodiment of the present invention first installs a temperature sensor in each reaction chamber in the drying tower, and uses the temperature sensor in each reaction chamber to collect temperature data of the reaction chamber in different time periods of each historical drying process, and then installs a temperature sensor between the heating device and the drying tower or at the air outlet of the heating device, and collects temperature data of the heating device in different time periods of each historical drying process, that is, the temperature of the high-temperature gas ejected by the heating device. In the scenario of the embodiment of the present invention, when the xanthate is dried, the temperature of the gas ejected by the heating device and the temperature in the reaction chamber are usually fixed values ​​within a certain time period, that is, the temperature of the gas ejected by the heating device and the temperature in the reaction chamber show a step-by-step change in time series. The embodiment of the present invention also needs to collect energy consumption data of the heating device in different time periods of each historical drying process. Since the energy source of the drying system is usually electricity, the energy consumption data is usually electricity consumption data, which can be collected and obtained through the corresponding power system.

[0054] The embodiment of the present invention also requires that humidity sensors be installed between the material storage area and the drying tower of the control device, and between the drying tower and the heating device, respectively. The humidity sensor between the material storage area and the drying tower is used to collect material humidity data before each historical drying process, and the humidity sensor between the drying tower and the heating device is used to collect material humidity data after each historical drying process. At the same time, the material weight data before and after each historical drying process is recorded, wherein the material specifically refers to the xanthate processed in the embodiment of the present invention.

[0055] Step S2: Taking any historical drying process as the target historical drying process, the energy consumption coefficient of the target historical drying process is obtained based on the temperature data and energy consumption data of the heating device in different time periods during the target historical drying process; the drying efficiency of the target historical drying process is obtained based on the difference in material moisture data and material weight data before and after the target historical drying process, as well as the energy consumption coefficient of the target historical drying process.

[0056] During the energy-saving control of the drying tower, the waste hot air will be processed and then re-entered into the drying system, which can reduce the power consumption of the drying tower equipment during operation to a certain extent. During the energy-saving control of the drying tower, the relationship between the heating temperature and the drying condition can be analyzed according to the humidity of the material and the humidity change of the material after heating. According to the humidity change under different heating states, the heating temperature and the step-by-step heating condition can be adjusted.

[0057] When heating and drying materials, increasing the temperature can increase the drying efficiency, but at the same time, the material is a heat-sensitive material, and high temperature may cause it to decompose. At the same time, excessive heating effect may cause energy waste. Therefore, the embodiment of the present invention first needs to analyze the energy consumption of the historical drying process. First, any historical drying process is used as the target historical drying process, and the energy consumption coefficient of the target historical drying process is obtained based on the temperature data and energy consumption data of the heating device in different time periods during the target historical drying process. The energy consumption coefficient reflects the energy consumption level of the target historical drying process. Subsequently, the drying efficiency of the target historical drying process can be accurately analyzed based on the energy consumption coefficient.

[0058] Preferably, in one embodiment of the present invention, the method for obtaining the energy consumption coefficient of the target historical drying process specifically includes:

[0059] Curve fitting is performed on the two-dimensional data points composed of the temperature data and energy consumption data of the heating device in each time period of the target historical drying process to obtain the energy consumption fitting curve of the target historical drying process, wherein the abscissa of each two-dimensional data point is the temperature data of the heating device in each time period of the target historical drying process, and the ordinate is the energy consumption data of the heating device in each time period of the target historical drying process.

[0060] The definite integral calculation of the energy consumption fitting curve is performed to obtain the first energy consumption parameter of the target historical drying process. The larger the first energy consumption parameter is, the more energy is consumed to maintain the high-temperature gas temperature of the heating device in each time period during the target historical drying process, which further indicates that the energy consumption of the target historical drying process is greater.

[0061] The average value of the length of all time periods of the heating device in the target historical drying process is used as the second energy consumption parameter of the target historical drying process. The larger the second energy consumption parameter is, the longer the duration of each temperature data of the heating device in the target historical drying process is, and the greater the energy consumption of the target historical drying process is.

[0062] Then, the first energy consumption parameter and the second energy consumption parameter are integrated to obtain the energy consumption coefficient of the target historical drying process.

[0063] In the embodiment of the present invention, the sum or product of the first energy consumption parameter and the second energy consumption parameter may be used as the energy consumption coefficient of the target historical drying process to achieve a combination of the two, which is not limited here.

[0064] As an example, in one embodiment of the present invention, the expression of the energy consumption coefficient of the target historical drying process can be specifically, for example, as follows:

[0065]

[0066] in, represents the energy consumption coefficient of the target historical drying process; A function representing the energy consumption fitting curve of the target historical drying process, wherein the independent variable is the temperature data of the heating device in each time period of the target historical drying process; The first energy consumption parameter representing the target historical drying process; and They represent the upper and lower limits of the integral when performing definite integral calculation on the energy consumption fitting curve; Indicates the first time the heating device is in the target historical drying process. the length of the time period; A second energy consumption parameter representing the target historical drying process; Represents the number of time periods in the target's historical drying process.

[0067] Then the drying efficiency of the target historical drying process is analyzed. The efficiency of drying xanthate is related to the difference in humidity data of the xanthate before and after the drying process, as well as the weight difference of the xanthate before and after the drying process. At the same time, the smaller the energy consumption coefficient of the target historical drying process, the higher the drying efficiency of the target historical drying process. Therefore, the drying efficiency of the target historical drying process can be obtained based on the difference in material humidity data before and after the target historical drying process, the difference in material weight data, and the energy consumption coefficient of the target historical drying process.

[0068] Preferably, in one embodiment of the present invention, the method for obtaining the drying efficiency of the target historical drying process specifically includes:

[0069] The more the material humidity data after the target historical drying process decreases relative to the material humidity data before the target historical drying process, the higher the efficiency of the xanthate drying process is during the target historical drying process. Therefore, the material humidity data before the target historical drying process can be used as the numerator, the material humidity data after the target historical drying process can be used as the denominator, and the ratio can be used as the first efficiency evaluation value of the target historical drying process.

[0070] The less the material weight data after the target historical drying process decreases relative to the material weight data before the target historical drying process, the higher the drying efficiency of the target historical drying process for xanthate. Therefore, the material weight data after the target historical drying process can be used as the numerator, the material weight data before the target historical drying process can be used as the denominator, and the ratio can be used as the second efficiency evaluation value of the target historical drying process.

[0071] At the same time, the smaller the energy consumption coefficient of the target historical drying process is, the lower the energy consumption of the target historical drying process is, and the higher the drying efficiency of the target historical drying process is. Therefore, a negative correlation mapping is performed on the energy consumption coefficient of the target historical drying process to obtain the third efficiency evaluation value of the target historical drying process.

[0072] Then, the first efficiency evaluation value, the second efficiency evaluation value, and the third efficiency evaluation value of the target historical drying process are integrated to obtain the drying efficiency of the target historical drying process.

[0073] In an embodiment of the present invention, the sum or product of the first efficiency evaluation value, the second efficiency evaluation value and the third efficiency evaluation value of the target historical drying process can be used as the drying efficiency of the target historical drying process to achieve a comprehensive evaluation of the three, which is not limited here.

[0074] As an example, in one embodiment of the present invention, the expression for the drying efficiency of the target historical drying process may be specifically, for example, as follows:

[0075]

[0076] in, represents the drying efficiency of the target historical drying process; Indicates the material moisture data before the target historical drying process; Indicates the material humidity data after the target historical drying process. Under non-ideal conditions, the humidity of the xanthate after drying is not 0. ; represents the first efficiency evaluation value of the target historical drying process; Indicates the material weight data before the target historical drying process; Indicates the material weight data after the target historical drying process; represents a second efficiency evaluation value of the target historical drying process; represents the energy consumption coefficient of the target historical drying process; represents the third efficiency evaluation value of the target historical drying process; Indicates the preset adjustment coefficient, used to prevent the denominator from being 0. The value range is In one embodiment of the present invention, Set to 0.01, The specific value of can also be set by the implementer according to the specific implementation scenario and is not limited here.

[0077] It should be noted that in other embodiments of the present invention, negative correlation mapping may be achieved through other basic mathematical operations, which will not be described in detail here.

[0078] The drying efficiency of each historical drying process can be obtained by the same method as above.

[0079] Step S3: historical drying processes with the same material moisture data and the same material weight data before the historical drying process are divided into the same category, and any category is used as the target category. According to the difference in temperature data of the same time period between each historical drying process and the next historical drying process in the target category and the difference in drying efficiency of different reaction chambers, a reference historical drying process is screened out in the target category; according to the temperature data distribution of the same time period of different reference historical drying processes of the heating device in the target category and the drying efficiency of each reference historical drying process, reference temperature data of different reference time periods in the target category are obtained.

[0080] The material humidity data and material weight data before the drying process are basic attribute data of the xanthate before the drying process. Therefore, the embodiment of the present invention first classifies the historical drying processes with the same material humidity data and the same material weight data before the historical drying processes into the same category. Then, the weight and humidity of the xanthate processed by each historical drying process in each category are the same. Subsequently, the optimal time period and temperature data corresponding to the processing of the corresponding type of xanthate can be selected in each category.

[0081] Then, any one category is analyzed and any one category is used as the target category. In order to improve the effect of the xanthate drying treatment, an embodiment of the present invention sets a plurality of reaction chambers in the drying tower. In order to ensure the efficiency of the xanthate drying treatment, there are certain differences in the temperatures of different reaction chambers. Therefore, the embodiment of the present invention first analyzes the relationship between the temperature change and the drying efficiency change of each historical drying process of the reaction chamber in the target category based on the difference in temperature data of the same time period between each historical drying process and the next historical drying process in the target category and the difference in drying efficiency, thereby screening out a reference historical drying process in the target category, wherein the drying efficiency of the reference historical drying process in the target category is greatly affected by the temperature of the reaction chamber. Subsequently, the temperature data of each reference historical drying process of the heating device in the target category can be analyzed, and the optimal time period and temperature data in the target category can be extracted, thereby maintaining more reasonable energy consumption while ensuring the drying effect of the subsequent current drying process.

[0082] Preferably, in one embodiment of the present invention, the method for obtaining the reference historical drying process in the target category specifically includes:

[0083] First, all historical drying processes in the target category are sorted in order of chronological order, and in the target category, the step temperature variation degree of each historical drying process in the target category is obtained according to the difference in the length of the same time period between each historical drying process and the next adjacent historical drying process and the difference in the temperature data of the same time period in different reaction chambers. The step temperature variation degree reflects the change in the step temperature of the reaction chamber in each historical drying process in the target category, that is, the change in the temperature in each time period and the duration of the temperature.

[0084] Preferably, in one embodiment of the present invention, the method for obtaining the step temperature variation degree of each historical drying process in the target category specifically includes:

[0085] Based on the calculation formula of the step temperature variation, the step temperature variation of each historical drying process in the target category is obtained. The calculation formula based on the step temperature variation is:

[0086]

[0087] in, Indicates the target category The step temperature variation of a historical drying process; Indicates the The reaction bin is the first in the target category The first step in the historical drying process Temperature data for a period of time; Indicates the The reaction bin is the first in the target category The first step in the historical drying process the length of the time period; Indicates the The reaction bin is the first in the target category The first step in the historical drying process Temperature data for a period of time; Indicates the The reaction bin is the first in the target category The first step in the historical drying process the length of the time period; Indicates the number of reaction chambers in the drying tower; Indicates the The reaction bin is the first in the target category The number of time periods and the The minimum number of time periods in the historical drying process is used to prevent the The historical drying process and The number of time periods between the historical drying processes varies.

[0088] It should be noted that there is no adjacent historical drying process to the last historical drying process in the target category. At this time, the average value of the step temperature variation of all historical drying processes before the last historical drying process in the target category can be used as the step temperature variation of the last historical drying process in the target category.

[0089] Then, in the target category, the absolute value of the difference between the drying efficiency of each historical drying process and the next adjacent historical drying process is used as the drying efficiency variation degree of each historical drying process in the target category.

[0090] Similarly, it should be noted that there is no adjacent historical drying process to the last historical drying process in the target category. At this time, the average value of the drying efficiency change of all historical drying processes before the last historical drying process in the target category can be used as the drying efficiency change of the last historical drying process in the target category.

[0091] The greater the drying efficiency variation of a historical drying process in the target category is relative to the step temperature variation, the greater the degree to which the drying efficiency of the historical drying process is affected by temperature. Therefore, the drying efficiency variation of each historical drying process in the target category can be used as the numerator, and the sum of the step temperature variation of each historical drying process in the target category and the preset adjustment parameter can be used as the denominator. The comparison value is normalized and the calculation result is limited to range, thereby obtaining the drying influence coefficient of each historical drying process in the target category.

[0092] In one embodiment of the present invention, the normalization processing can be specifically, for example, maximum and minimum value normalization processing, and the normalization in subsequent steps can all adopt maximum and minimum value normalization processing. In other embodiments of the present invention, other normalization methods can be selected according to the specific range of numerical values, which will not be repeated here.

[0093] As an example, in one embodiment of the present invention, the expression of the drying influence coefficient of each historical drying process in the target category can be specifically, for example, as follows:

[0094]

[0095] in, Indicates the target category Drying influence coefficient of a historical drying process; Indicates the target category Variation of drying efficiency in a historical drying process; Indicates the target category The step temperature variation of a historical drying process; Represents the normalization function, used for normalization processing; Indicates the preset adjustment coefficient, used to prevent the denominator from being 0. The value range is In one embodiment of the present invention, Set to 0.01, The specific value of can also be set by the implementer according to the specific implementation scenario and is not limited here.

[0096] The larger the drying influence coefficient of a historical drying process in the target category, the more the drying efficiency of the historical drying process is affected by temperature. Therefore, based on the drying influence coefficients of each historical drying process in the target category, a reference historical drying process can be screened out from all historical drying processes in the target category.

[0097] Preferably, in one embodiment of the present invention, the historical drying process in which the drying influence coefficient in the target category is greater than the preset influence threshold can be used as the reference historical drying process of the target category, wherein the preset influence threshold has a value range of In one embodiment of the present invention, the preset impact threshold is set to 0.3. The specific value of the preset impact threshold can also be set by the implementer according to the specific implementation scenario and is not limited here.

[0098] The more inconsistent the temperature data distribution of the heating device in a certain time period of each reference historical drying process in the target category, and the greater the drying efficiency of a certain reference historical drying process, it means that when the heating device uses the temperature data of the time period in the reference historical drying process to dry the xanthate with the corresponding humidity and weight of the target category, it can reduce energy consumption while ensuring the drying effect. Therefore, based on the temperature data distribution of the heating device in the same time period of different reference historical drying processes in the target category, and the drying efficiency of each reference historical drying process, the reference temperature data of different reference time periods in the target category can be obtained. Subsequently, in each category, the optimal time period and temperature data of the heating device can be selected for the currently processed xanthate, thereby improving the drying effect of the currently processed xanthate and maintaining reasonable energy consumption.

[0099] Preferably, in one embodiment of the present invention, the method for obtaining reference temperature data of different reference time periods in the target category specifically includes:

[0100] Normalize the dispersion of the temperature data of the same time period of all reference historical drying processes of the heating device in the target category, and limit the calculation results to range, thereby obtaining the temperature disorder degree of each time period in the target category.

[0101] In an embodiment of the present invention, the degree of discreteness of the temperature data of the same time period of all reference historical drying processes of the heating device in the target category can be analyzed by calculating the standard deviation or variance of the temperature data of the same time period of all reference historical drying processes of the heating device in the target category, which is not limited here.

[0102] The greater the temperature chaos degree of a certain time period in the target category, the more suitable the temperature data of the time period is for drying the xanthate with the humidity and weight corresponding to the target category. Therefore, the reference time period can be screened out from all time periods in the target category based on the temperature chaos degree of each time period in the target category.

[0103] Preferably, in one embodiment of the present invention, the time period in which the temperature disorder degree in the target category is greater than a preset disorder threshold value can be used as the reference time period of the target category, wherein the value range of the preset disorder threshold value is In one embodiment of the present invention, the preset chaos threshold is set to 0.6. The specific value of the preset chaos threshold can also be set by the implementer according to the specific implementation scenario and is not limited here.

[0104] At the same time, the greater the drying efficiency of a reference historical drying process, the better the drying effect of the reference historical drying process and the lower the energy consumption. Therefore, in order to ensure the drying effect and energy consumption, in the target category, the reference historical drying process corresponding to the maximum value of the drying efficiency is used as the candidate reference historical drying process for the target category.

[0105] Furthermore, the temperature data of the heating device in each reference time period during the selected reference historical drying process can be used as the reference temperature data of each reference time period in the target category.

[0106] The reference temperature data for each reference time period in each category can be obtained by the same method as above.

[0107] Step S4: Energy-saving control is performed on the material drying in the current drying process according to the reference temperature data of different reference time periods in all categories.

[0108] For a certain category, the weight and humidity of the xanthate historically processed in the category are fixed, and when the xanthate corresponding to the category is dried using the reference temperature data of each reference time period in the category obtained above, the drying effect and energy consumption can be guaranteed. Therefore, energy-saving control can be performed on the drying of materials in the current drying process based on the reference temperature data of different reference time periods in all categories.

[0109] Preferably, in one embodiment of the present invention, the method for energy-saving control of a drying tower specifically includes:

[0110] A reference category of the current drying process is selected from all categories, wherein the material moisture data before the historical drying process in the reference category is the same as the material moisture data of the current drying process, and the material weight data before the historical drying process in the reference category is the same as the material weight data of the current drying process;

[0111] The material in the current drying process is dried using the reference temperature data of each reference time period in the reference category. Specifically, when the xanthate in the current drying process is processed, the temperature data of the heating device in time sequence is adjusted to the reference temperature data of each reference time period in the reference category, thereby drying the xanthate in the current drying process.

[0112] One embodiment of the present invention provides a drying tower energy-saving control device for xanthate production, see Figure 2, which shows a structural diagram of a drying tower energy-saving control device for xanthate production provided by an embodiment of the present invention. The control device includes a material storage area, a drying tower, a heating device and a control module. There are multiple reaction chambers inside the drying tower. The heating device is used to input high-temperature gas into each reaction chamber to dry the material in the reaction chamber, and the high-temperature gas discharged from the drying tower can enter the heating device again for recycling. Humidity sensors are respectively installed between the material storage area and the drying tower and between the drying tower and the heating device to collect material humidity data before and after each historical drying process. A temperature sensor is installed in each reaction chamber to collect temperature data of each reaction chamber at different time periods in each historical drying process. A temperature sensor is installed between the heating device and the drying tower to collect temperature data of the gas ejected by the heating device at different time periods in each historical drying process. The control module samples and connects to each humidity sensor and each temperature sensor, and processes the acquired material humidity data and temperature data to implement the method described in steps S1 to S4.

[0113] Among them, the control device also includes a liquid pump for transporting the xanthate to be processed in the material storage area to the air flow nozzle, an air compression device for compressing air and atomizing the material in the air flow nozzle to improve the drying effect. At the same time, the pressure nozzle is used to atomize the material in the reaction chamber where the air flow nozzle is located again to further improve the drying effect. The hot air discharged from the drying tower is then removed from the cyclone separator, the secondary separation device and the heat circulation gas treatment device for impurity removal and dehumidification, and then enters the heating device together with the air injected from the outside to realize the recycling of hot air and further reduce the energy consumption of the xanthate drying process.

[0114] It should be noted that the order in which the embodiments of the present invention are described above is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0115] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

Claims

1. A drying tower energy-saving control method for xanthate production, characterized in that: The method comprises: Obtain the temperature data of different reaction chambers in the xanthate production drying tower at different time periods during each historical drying process, as well as the temperature data and energy consumption data of the heating device at different time periods during each historical drying process, and simultaneously obtain the material moisture data and material weight data before and after each historical drying process; Taking any historical drying process as a target historical drying process, the energy consumption coefficient of the target historical drying process is obtained based on the temperature data and energy consumption data of the heating device at different time periods during the target historical drying process; the drying efficiency of the target historical drying process is obtained based on the difference in material moisture data and material weight data before and after the target historical drying process, as well as the energy consumption coefficient of the target historical drying process; Classify historical drying processes with the same material moisture data and material weight data before the historical drying processes into the same category, take any category as a target category, and screen out reference historical drying processes in the target category based on the difference in temperature data of different reaction chambers in the same time period between each historical drying process and the next historical drying process in the target category and the difference in drying efficiency; obtain reference temperature data for different reference time periods in the target category based on the temperature data distribution of the heating device in the same time period of different reference historical drying processes in the target category and the drying efficiency of each reference historical drying process; Energy-saving control is performed on the material drying in the current drying process according to the reference temperature data of different reference time periods in all categories; The energy consumption coefficient of the target historical drying process is obtained as follows: Performing curve fitting on two-dimensional data points consisting of temperature data and energy consumption data of the heating device in each time period of the target historical drying process to obtain an energy consumption fitting curve of the target historical drying process, wherein the abscissa of each two-dimensional data point is the temperature data of the heating device in each time period of the target historical drying process, and the ordinate is the energy consumption data of the heating device in each time period of the target historical drying process; Performing definite integral calculation on the energy consumption fitting curve to obtain a first energy consumption parameter of the target historical drying process; an average value of the lengths of all time periods of the heating device during the target historical drying process as a second energy consumption parameter of the target historical drying process; Combining the first energy consumption parameter and the second energy consumption parameter to obtain an energy consumption coefficient of a target historical drying process; The drying efficiency of the target historical drying process is obtained by: The material humidity data before the target historical drying process is used as the numerator, the material humidity data after the target historical drying process is used as the denominator, and the ratio is used as the first efficiency evaluation value of the target historical drying process; The material weight data after the target historical drying process is used as the numerator, the material weight data before the target historical drying process is used as the denominator, and the ratio is used as the second efficiency evaluation value of the target historical drying process; Performing negative correlation mapping on the energy consumption coefficient of the target historical drying process to obtain a third efficiency evaluation value of the target historical drying process; The first efficiency evaluation value, the second efficiency evaluation value, and the third efficiency evaluation value of the target historical drying process are integrated to obtain the drying efficiency of the target historical drying process.

2. The drying tower energy-saving control method for xanthate production according to claim 1, characterized in that: The process of screening out the reference historical drying process in the target category includes: All historical drying processes in the target category are sorted in order of chronological order, and in the target category, the step temperature variation degree of each historical drying process in the target category is obtained based on the length difference of the same time period between each historical drying process and the next adjacent historical drying process and the difference in temperature data of the same time period in different reaction chambers; In the target category, the absolute value of the difference between the drying efficiency of each historical drying process and the next adjacent historical drying process is used as the drying efficiency variation degree of each historical drying process in the target category; The drying efficiency variation of each historical drying process in the target category is used as a numerator, the step temperature variation of each historical drying process in the target category and the sum of the preset adjustment parameters are used as a denominator, and the comparison value is normalized to obtain the drying influence coefficient of each historical drying process in the target category; Based on the drying influence coefficient of each historical drying process in the target category, a reference historical drying process is screened out from all historical drying processes in the target category.

3. The drying tower energy-saving control method for xanthate production according to claim 2, characterized in that: The step temperature variation degree of each historical drying process in the target category is obtained by: Based on the calculation formula of the step temperature variation, the step temperature variation of each historical drying process in the target category is obtained. The calculation formula based on the step temperature variation is: in, Indicates the target category The step temperature variation of a historical drying process; Indicates the The reaction bin is the first in the target category The first step in the historical drying process Temperature data for a period of time; Indicates the The reaction bin is the first in the target category The first step in the historical drying process the length of the time period; Indicates the The reaction bin is the first in the target category The first step in the historical drying process Temperature data for a period of time; Indicates the The reaction bin is the first in the target category The first step in the historical drying process the length of the time period; Indicates the number of reaction chambers in the drying tower; Indicates the The reaction bin is the first in the target category The number of time periods and the The minimum number of time periods in the historical drying process.

4. The drying tower energy-saving control method for xanthate production according to claim 2, characterized in that: The method of screening out the reference historical drying process from all historical drying processes in the target category includes: In the target category, the historical drying process whose drying influence coefficient is greater than the preset influence threshold is used as the reference historical drying process of the target category.

5. The drying tower energy-saving control method for xanthate production according to claim 1, characterized in that: The obtaining of reference temperature data for different reference time periods in the target category includes: Normalize the discrete degree of the temperature data of the same time period of all reference historical drying processes of the heating device in the target category to obtain the temperature disorder degree of each time period in the target category; Based on the temperature disorder of each time period in the target category, a reference time period is selected from all time periods in the target category; In the target category, the reference historical drying process corresponding to the maximum value of the drying efficiency is used as the candidate reference historical drying process of the target category; The temperature data of the heating device in each reference time period during the selected reference historical drying process is used as the reference temperature data of each reference time period in the target category.

6. The drying tower energy-saving control method for xanthate production according to claim 5, characterized in that: The step of selecting a reference time period from all time periods in the target category includes: The time period in which the temperature disorder degree in the target category is greater than the preset disorder threshold is used as the reference time period of the target category.

7. The drying tower energy-saving control method for xanthate production according to claim 1, characterized in that: The energy-saving control of material drying in the current drying process includes: Selecting a reference category for the current drying process from all categories, wherein the material moisture data before the historical drying process in the reference category is the same as the material moisture data during the current drying process, and the material weight data before the historical drying process in the reference category is the same as the material weight data during the current drying process; The material in the current drying process is dried using the reference temperature data of each reference time period in the reference category.

8. A drying tower energy-saving control device for xanthate production, characterized in that: The control device includes a material storage area, a drying tower, a heating device and a control module. There are multiple reaction chambers inside the drying tower. The heating device is used to input high-temperature gas into each reaction chamber to dry the material in the reaction chamber, and the high-temperature gas discharged from the drying tower can enter the heating device again for recycling. Humidity sensors are respectively installed between the material storage area and the drying tower and between the drying tower and the heating device to collect material humidity data before and after each historical drying process. A temperature sensor is installed in each reaction chamber to collect temperature data of each reaction chamber in different time periods of each historical drying process. A temperature sensor is installed between the heating device and the drying tower to collect temperature data of the gas ejected by the heating device in different time periods of each historical drying process. The control module samples and connects each humidity sensor and each temperature sensor, and processes the acquired material humidity data and temperature data to implement the steps of the method as described in any one of claims 1 to 7.

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