Drying tower energy-saving control method for xanthate production and control device thereof

Abstract

The invention relates to the field of xanthate drying control, in particular to a drying tower energy-saving control method for xanthate production and a control device thereof. The method comprises the following steps: firstly, obtaining an energy consumption coefficient of each historical drying process according to temperature data and energy consumption data of a heating device in a control device in different time periods in each historical drying process, and combining a material humidity data difference, a material weight data difference and the energy consumption coefficient before and after each historical drying process; the drying efficiency of each historical drying process is obtained, the historical drying processes with the same material humidity data and the same material weight data before the historical drying processes are classified into the same category, and reference temperature data of different reference time periods are selected from each category; and performing energy-saving control on material drying in the current drying process according to the reference temperature data of different reference time periods in all categories. Reasonable energy consumption can be maintained while the drying effect is guaranteed.

Description

Technical Field

[0001] The present 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 of xanthate, which is an important organic sulfur compound in the industrial field. During the production of xanthate, it needs to be dried. The drying process can remove moisture and unreacted alcohols and other impurities in xanthate to obtain a pure xanthate product. Undried xanthate has poor stability and is prone to decomposition, which is not conducive to long-term storage. After drying, the stability of xanthate is improved, which is convenient for storage and transportation.

[0003] In the related art, usually high-temperature air is introduced into the drying tower, and the high-temperature air is used to evaporate the moisture of the materials in the xanthate production process, so as to realize the drying of xanthate. However, in the actual drying process, it is difficult to control the temperature accuracy of the high-temperature air introduced into the drying tower. When the xanthate is over-dried, the energy consumption during the drying process will be too high. When too much emphasis is placed on energy conservation during the drying process, the xanthate will not be dried sufficiently, and as a result, the existing method cannot maintain reasonable energy consumption on the premise of 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 on 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 a control device for a drying tower in xanthate production. The specific technical solutions adopted are as follows: The present invention proposes an energy-saving control method for a drying tower in xanthate production, and the method includes: Obtain the temperature data of different reaction bins 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 at the same time obtain the material humidity data and material weight data before and after each historical drying process; Take any historical drying process as the target historical drying process, and obtain the energy consumption coefficient of the target historical drying process according to the temperature data and energy consumption data of the heating device at different time periods in the target historical drying process; obtain the drying efficiency of the target historical drying process according to the difference in material humidity data, the difference in material weight data before and after the target historical drying process, and the energy consumption coefficient of the target historical drying process; Classify historical drying processes with the same material humidity data and the same material weight data before the historical drying process into the same category. Select any one category as the target category. Based on the differences in temperature data and the differences in the drying efficiency during the same time period between each historical drying process and the next historical drying process in the target category for different reaction bins, screen out the reference historical drying processes in the target category; According to the temperature data distribution during the same time period of different reference historical drying processes in the target category for the heating device, and the drying efficiency of each reference historical drying process, obtain the reference temperature data for different reference time periods in the target category; Based on the reference temperature data for different reference time periods in all categories, perform energy-saving control on the material drying in the current drying process.

[0005] Furthermore, the obtaining of the energy consumption coefficient of the target historical drying process includes: Perform curve fitting on the two-dimensional data points composed of the temperature data and the energy consumption data for each time period in the target historical drying process of the heating device to obtain the energy consumption fitting curve of the target historical drying process. Among them, the abscissa of each two-dimensional data point is the temperature data of the heating device for each time period in the target historical drying process, and the ordinate is the energy consumption data of the heating device for each time period in the target historical drying process; Perform definite integral calculation on the energy consumption fitting curve to obtain the first energy consumption parameter of the target historical drying process; Take the average value of the lengths of all time periods of the heating device in the target historical drying process as the second energy consumption parameter of the target historical drying process; Integrate the first energy consumption parameter and the second energy consumption parameter to obtain the energy consumption coefficient of the target historical drying process.

[0006] Furthermore, the obtaining of the drying efficiency of the target historical drying process includes: Use the material humidity data before the target historical drying process as the numerator, and the material humidity data after the target historical drying process as the denominator, and take the ratio as the first efficiency evaluation value of the target historical drying process; Use the material weight data after the target historical drying process as the numerator, and the material weight data before the target historical drying process as the denominator, and take the ratio as the second efficiency evaluation value of the target historical drying process; Perform a negative correlation mapping on the energy consumption coefficient of the target historical drying process to obtain the third efficiency evaluation value of the target historical drying process; Integrate the first efficiency evaluation value, the second efficiency evaluation value, and the third efficiency evaluation value of the target historical drying process to obtain the drying efficiency of the target historical drying process.

[0007] Further, screening the reference historical drying processes from the target category includes: Sort all the historical drying processes in the target category in chronological order, and in the target category, obtain the step temperature change degree of each historical drying process in the target category according to the length difference and temperature data difference of the same time period between each historical drying process and the adjacent next historical drying process in different reaction chambers; In the target category, take the absolute value of the difference in drying efficiency between each historical drying process and the adjacent next historical drying process as the drying efficiency change degree of each historical drying process in the target category; Take the drying efficiency change degree of each historical drying process in the target category as the numerator, take the sum of the step temperature change degree of each historical drying process in the target category and the preset adjustment parameter as the denominator, and perform normalization processing on the ratio value to obtain the drying influence coefficient of each historical drying process in the target category; Based on the drying influence coefficients of the historical drying processes in the target category, screen the reference historical drying processes from all the historical drying processes in the target category.

[0008] Further, obtaining the step temperature change degree of each historical drying process in the target category includes: Based on the calculation formula of the step temperature change degree, obtain the step temperature change degree of each historical drying process in the target category. The calculation formula based on the step temperature change degree is: Wherein, represents the step temperature change degree of the th historical drying process in the target category; represents the temperature data of the th reaction chamber in the th historical drying process in the target category during the th time period; represents the length of the th time period in the th historical drying process in the target category for the th reaction chamber; represents the temperature data of the th reaction chamber in the th historical drying process in the target category during the th time period; represents the length of the th time period in the th historical drying process in the target category for the th reaction chamber; Indicates the number of reaction chambers in the drying tower; Indicates the th reaction chamber and represents the minimum value between the number of time periods in the th historical drying process in the target category and the number of time periods in the th historical drying process.

[0009] Furthermore, the screening of the reference historical drying processes from all the historical drying processes in the target category includes: In the target category, the historical drying processes with the drying influence coefficient greater than the preset influence threshold are used as the reference historical drying processes of the target category.

[0010] Furthermore, the obtaining of the reference temperature data for different reference time periods in the target category includes: Normalize the degree of dispersion of the temperature data of the heating device at the same time periods in all the reference historical drying processes in the target category to obtain the temperature chaos degree of each time period in the target category; Based on the temperature chaos degree of each time period in the target category, screen out the reference time periods from all the 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 at each reference time period in the candidate reference historical drying process is used as the reference temperature data of each reference time period in the target category.

[0011] Furthermore, the screening of the reference time periods from all the time periods in the target category includes: The time periods in the target category with the temperature chaos degree greater than the preset chaos threshold are used as the reference time periods of the target category.

[0012] Furthermore, the energy-saving control of the material drying in the current drying process includes: Select the reference category of the current drying process from all categories, where the material humidity data before the historical drying process in the reference category is the same as the material humidity data in 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 in the current drying process; Use the reference temperature data of each reference time period in the reference category to perform drying treatment on the material in the current drying process.

[0013] The present invention also provides an energy-saving control device for a drying tower in xanthate production. 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 materials 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 installed respectively between the material storage area and the drying tower and between the drying tower and the heating device to collect the material humidity data before and after each historical drying process. Temperature sensors are installed in each reaction chamber to collect the temperature data of each reaction chamber at different time periods during each historical drying process. A temperature sensor is installed between the heating device and the drying tower to collect the temperature data of the gas ejected by the heating device at different time periods during each historical drying process. The control module is sampled and connected to each humidity sensor and each temperature sensor, and processes the obtained material humidity data and temperature data to implement the steps of any one of the energy-saving control methods for the drying tower in xanthate production.

[0014] The present invention has the following beneficial effects: Considering that the existing methods cannot ensure the drying effect while maintaining reasonable energy consumption during the xanthate drying process, the present invention first obtains 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. At the same time, it obtains the material humidity data before and after each historical drying process, as well as the material weight data before each historical drying process, and initially reflects the energy consumption degree of the target historical drying process through the obtained energy consumption coefficient. Subsequently, based on the energy consumption coefficient, the drying efficiency of the target historical drying process can be accurately analyzed, and the drying efficiency of the xanthate drying in the target historical drying process can be reflected through the obtained drying efficiency. Furthermore, the historical drying processes with the same material humidity data and the same material weight data before the historical drying process are classified into the same category, which is convenient for subsequently selecting the best temperature data during the xanthate drying process in each category. Then, the reference historical drying processes with a large influence of temperature on the drying efficiency are screened out in the target category, and the reference temperature data of each reference time period are further selected in the target category. When drying the xanthate with the material humidity data and the material weight data corresponding to the target category using the reference temperature data of each reference time period in the target category, it can ensure the drying effect while significantly reducing the energy consumption. Furthermore, 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, maintaining reasonable energy consumption while ensuring the drying effect of the current material. Description of the Drawings

[0015] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0016] Figure 1 Flowchart of an energy-saving control method for a drying tower in xanthate production provided by an embodiment of the present invention; Figure 2 Structural diagram of an energy-saving control device for a drying tower in xanthate production provided by an embodiment of the present invention.

[0017] Reference numerals: 1 - Material storage area, 2 - Humidity sensor, 3 - Feed liquid pump, 4 - Air compression device, 5 - Temperature sensor, 6 - Air flow nozzle, 7 - Heating device, 8 - Thermal cycle gas treatment device, 9 - Secondary separation device, 10 - Cyclone separator, 11 - Drying tower, 12 - Pressure nozzle, a - Residual hot air in the thermal cycle, b - Externally injected air. Detailed implementation manners

[0018] To further elaborate on the technical means and effects adopted by the present invention to achieve the intended invention purpose, the following, in combination with the drawings and preferred embodiments, details the specific implementation manners, structures, features, and effects of an energy-saving control method and its control device for a drying tower in xanthate production proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0019] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which the present invention belongs.

[0020] The following specifically describes, in combination with the drawings, the specific solutions of an energy-saving control method and its control device for a drying tower in xanthate production provided by the present invention.

[0021] Please refer to Figure 1 , which shows a flowchart of an energy-saving control method for a drying tower in xanthate production provided by an embodiment of the present invention. The method includes: Step S1: Obtain the temperature data of different reaction chambers in the drying tower for xanthate production 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. At the same time, obtain the material humidity data and material weight data before and after each historical drying process.

[0022] In the embodiment of the present invention, temperature sensors are first installed in each reaction chamber of the drying tower, and the temperature sensors in each reaction chamber are used to collect the temperature data of the reaction chamber at different time periods during each historical drying process. Then, temperature sensors are installed between the heating device and the drying tower or at the air outlet of the heating device, and the temperature data of the heating device at different time periods during each historical drying process are collected, 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 drying xanthate, the temperature of the gas ejected by the heating device and the temperature in the reaction chamber are usually a fixed value within a certain time period. That is to say, the temperature of the gas ejected by the heating device and the temperature in the reaction chamber show a stepped change in time series. The embodiment of the present invention also needs to collect the energy consumption data of the heating device at different time periods during each historical drying process. Since the energy source of the drying system is usually electric energy, the energy consumption data is usually the electric energy consumption data, which can be collected and obtained through the corresponding power system.

[0023] In the embodiment of the present invention, humidity sensors are also installed between the material storage area of the control device and the drying tower 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 the material humidity data before each historical drying process, and the humidity sensor between the drying tower and the heating device is used to collect the 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, where the material specifically refers to the xanthate processed in the embodiment of the present invention.

[0024] Step S2: Take any historical drying process as the target historical drying process, and obtain the energy consumption coefficient of the target historical drying process according to the temperature data and energy consumption data of the heating device at different time periods during the target historical drying process; obtain the drying efficiency of the target historical drying process according to the difference in the material humidity data before and after the target historical drying process, the difference in the material weight data, and the energy consumption coefficient of the target historical drying process.

[0025] When controlling the energy saving of the drying tower, the waste hot air is 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. When controlling the energy saving of the drying tower, the relationship between the heating temperature and the drying situation can be analyzed according to the humidity of the material and the change of the humidity of the material after being heated. According to the humidity change situation under different heating states obtained, the heating temperature and the step-by-step heating situation are regulated.

[0026] When heating and drying materials, increasing the temperature can improve the drying efficiency. However, the materials are heat-sensitive, and high temperatures may cause them to decompose. At the same time, excessive heating effects may lead to energy waste. Therefore, in the embodiments of the present invention, it is first necessary to analyze the energy consumption of historical drying processes. First, any historical drying process is used as the target historical drying process, and based on the temperature data and energy consumption data of the heating device at different time periods in the target historical drying process, the energy consumption coefficient of the target historical drying process is obtained. The energy consumption coefficient reflects the degree of energy consumption in the target historical drying process. Subsequently, based on the energy consumption coefficient, the drying efficiency of the target historical drying process can be accurately analyzed.

[0027] Preferably, in an embodiment of the present invention, the method for obtaining the energy consumption coefficient of the target historical drying process specifically includes: Curve fitting is performed on the two-dimensional data points composed of the temperature data and energy consumption data of the heating device at each time period in the target historical drying process to obtain the energy consumption fitting curve of the target historical drying process. Among them, the abscissa of each two-dimensional data point is the temperature data of the heating device at each time period in the target historical drying process, and the ordinate is the energy consumption data of the heating device at each time period in the target historical drying process.

[0028] Definite integral calculation is performed on the energy consumption fitting curve to obtain the first energy consumption parameter of the target historical drying process. The larger the first energy consumption parameter, 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, indicating that the energy consumption of the target historical drying process is greater.

[0029] The average value of the lengths 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, the longer the duration of each temperature data of the heating device during the target historical drying process, indicating that the energy consumption of the target historical drying process is greater.

[0030] Furthermore, the first energy consumption parameter and the second energy consumption parameter are synthesized to obtain the energy consumption coefficient of the target historical drying process.

[0031] In the embodiments of the present invention, the sum value or product value of the first energy consumption parameter and the second energy consumption parameter can be used as the energy consumption coefficient of the target historical drying process to achieve the synthesis of the two, and no limitation is made here.

[0032] As an example, in an embodiment of the present invention, the expression of the energy consumption coefficient of the target historical drying process can be specifically, for example: Wherein, represents the energy consumption coefficient of the target historical drying process; A function corresponding to the energy consumption fitting curve of the target historical drying process, where the independent variable is the temperature data of the heating device in each time period during the target historical drying process; Represents the first energy consumption parameter of the target historical drying process; And Respectively represent the upper and lower limits of integration when performing definite integral calculation on the energy consumption fitting curve; Represents the Length of the th time period of the heating device during the target historical drying process; Represents the second energy consumption parameter of the target historical drying process; Represents the number of time periods in the target historical drying process.

[0033] Then, analyze the drying efficiency of the target historical drying process. The efficiency of drying xanthate is related to the difference in humidity data of xanthate before and after drying treatment, and the difference in weight of xanthate before and after drying treatment. 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, the difference in material weight data before and after the target historical drying process, and the energy consumption coefficient of the target historical drying process.

[0034] Preferably, in an embodiment of the present invention, the method for obtaining the drying efficiency of the target historical drying process specifically includes: 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 drying xanthate 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.

[0035] 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 on 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.

[0036] At the same time, the smaller the energy consumption coefficient of the target historical drying process, the lower the energy consumption of the target historical drying process, and the higher the drying efficiency of the target historical drying process. Therefore, perform a negative correlation mapping on the energy consumption coefficient of the target historical drying process to obtain the third efficiency evaluation value of the target historical drying process.

[0037] Furthermore, 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.

[0038] In an embodiment of the present invention, the sum value or the product value 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 the integration of the three, and no limitation is made here.

[0039] As an example, in an embodiment of the present invention, the expression of the drying efficiency of the target historical drying process can be specifically, for example: Wherein, represents the drying efficiency of the target historical drying process; represents the material humidity data before the target historical drying process; represents the material humidity data after the target historical drying process. In a non-ideal situation, the humidity of the xanthate after drying treatment is not 0, then ; represents the first efficiency evaluation value of the target historical drying process; represents the material weight data before the target historical drying process; represents the material weight data after the target historical drying process; represents the 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; represents a preset adjustment coefficient for preventing the denominator from being 0, The value range of is In an embodiment of the present invention, is set to 0.01.

[0040] It should be noted that in other embodiments of the present invention, negative correlation mapping can also be achieved through other basic mathematical operations, which will not be elaborated here.

[0041] Through the above same method, the drying efficiency of each historical drying process can be obtained.

[0042] Step S3: Divide the historical drying processes with the same material humidity data and the same material weight data before the historical drying process into the same category. Take any one category as the target category. According to the differences in temperature data and drying efficiency during the same time period between each historical drying process and the next historical drying process in the target category for different reaction chambers, screen out the reference historical drying processes in the target category; According to the temperature data distribution during 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, obtain the reference temperature data for different reference time periods in the target category.

[0043] The material humidity data and material weight data before the drying process are the basic attribute data of xanthate before drying treatment. Therefore, in the embodiments of the present invention, first, the historical drying processes with the same material humidity data and the same material weight data before the historical drying process are divided 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 treatment of the corresponding type of xanthate can be selected in each category.

[0044] Then, analyze any one category and take any one category as the target category. In order to improve the effect of xanthate drying treatment, multiple reaction chambers are provided in the drying tower in the embodiments of the present invention. In order to ensure the efficiency of xanthate drying treatment, there are certain differences in temperature in different reaction chambers. Therefore, in the embodiments of the present invention, first, according to the differences in temperature data and drying efficiency during the same time period between each historical drying process and the next historical drying process in the target category for different reaction chambers, analyze the relationship between the temperature change and drying efficiency change of each historical drying process of the reaction chamber in the target category, so as to screen out the reference historical drying processes in the target category. Among them, the drying efficiency of the reference historical drying processes in the target category is greatly affected by the reaction chamber temperature. Subsequently, the temperature data of the heating device for each reference historical drying process in the target category can be analyzed, and the optimal time period and temperature data in the target category can be extracted, so as to maintain more reasonable energy consumption while ensuring the drying effect of the subsequent current drying process.

[0045] Preferably, in an embodiment of the present invention, the method for obtaining the reference historical drying processes in the target category specifically includes: First, sort all the historical drying processes in the target category in chronological order. In the target category, based on the difference in the length of the same time period and the difference in the temperature data of the same time period between each historical drying process and the next adjacent historical drying process in different reaction chambers, obtain the stepped temperature change degree of each historical drying process in the target category. The stepped temperature change degree reflects the change in the stepped temperature of the reaction chamber in each historical drying process in the target category, that is, the change in the temperature of each time period and the duration for which the temperature persists.

[0046] Preferably, in an embodiment of the present invention, the method for obtaining the stepped temperature change degree of each historical drying process in the target category specifically includes: Based on the calculation formula of the stepped temperature change degree, obtain the stepped temperature change degree of each historical drying process in the target category. The calculation formula based on the stepped temperature change degree is: Wherein, represents the stepped temperature change degree of the th historical drying process in the target category; represents the temperature data of the th reaction chamber in the th historical drying process in the target category during the th time period; represents the length of the th reaction chamber in the th historical drying process in the target category during the th time period; represents the temperature data of the th reaction chamber in the th historical drying process in the target category during the th time period; represents the length of the th reaction chamber in the th historical drying process in the target category during the th time period; represents the number of reaction chambers in the drying tower; represents the th reaction chamber in the th historical drying process and the minimum value of the number of time periods in the th historical drying process, used to prevent the number of time periods between the th historical drying process and the th historical drying process from being different.

[0047] It should be noted that there is no adjacent next historical drying process for the last historical drying process in the target category. In this case, the average value of the step temperature change degrees of all historical drying processes before the last historical drying process in the target category can be used as the step temperature change degree of the last historical drying process in the target category.

[0048] Then, in the target category, the absolute value of the difference in drying efficiency between each historical drying process and the adjacent next historical drying process is used as the drying efficiency change degree of each historical drying process in the target category.

[0049] Similarly, it should be noted that there is no adjacent next historical drying process for the last historical drying process in the target category. In this case, the average value of the drying efficiency change degrees of all historical drying processes before the last historical drying process in the target category can be used as the drying efficiency change degree of the last historical drying process in the target category.

[0050] The greater the drying efficiency change degree of a certain historical drying process in the target category relative to the step temperature change degree, the greater the degree to which the drying efficiency of this historical drying process is affected by temperature. Therefore, the drying efficiency change degree of each historical drying process in the target category can be used as the numerator, and the sum of the step temperature change degree of each historical drying process in the target category and the preset adjustment parameter can be used as the denominator, and the ratio value is normalized, and the calculation result is limited to within the range, so as to obtain the drying influence coefficient of each historical drying process in the target category.

[0051] In an embodiment of the present invention, the normalization process can be specifically, for example, the maximum-minimum normalization process, and the normalization in subsequent steps can all adopt the maximum-minimum normalization process. In other embodiments of the present invention, other normalization methods can be selected according to the specific numerical range, which will not be elaborated here.

[0052] As an example, in an 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: Wherein, represents the drying influence coefficient of the th historical drying process in the target category; represents the drying efficiency change degree of the th historical drying process in the target category; represents the step temperature change degree of the th historical drying process in the target category; represents the normalization function for normalization processing; Represents a preset adjustment coefficient, used to prevent the denominator from being 0, The value range of is In one embodiment of the present invention, is set to 0.01. The specific value of

[0053] The greater the drying influence coefficient of a certain historical drying process in the target category, the greater the degree to which the drying efficiency of this historical drying process is affected by temperature. Therefore, based on the drying influence coefficients of each historical drying process in the target category, reference historical drying processes can be screened out from all historical drying processes in the target category.

[0054] Preferably, in one embodiment of the present invention, historical drying processes in the target category with a drying influence coefficient greater than a preset influence threshold can be used as reference historical drying processes for the target category, where the value range of the preset influence threshold is In one embodiment of the present invention, the preset influence threshold is set to 0.3. The specific value of the preset influence threshold can also be set by the implementer according to the specific implementation scenario and is not limited herein.

[0055] 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 indicates that when the heating device dries the xanthate corresponding to the humidity and weight of the target category with the temperature data of this time period in this reference historical drying process, it can reduce energy consumption while ensuring the drying effect. Therefore, according to 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, reference temperature data for different reference time periods in the target category can be obtained. Subsequently, in each category, the best time period and temperature data of the heating device can be selected for the xanthate being processed currently, so as to improve the drying effect of the xanthate being processed currently and maintain reasonable energy consumption.

[0056] Preferably, in one embodiment of the present invention, the method for obtaining reference temperature data for different reference time periods in the target category specifically includes: Normalize the dispersion degree of the temperature data of the heating device in the same time period of all reference historical drying processes in the target category, and limit the calculation result within to obtain the temperature chaos degree of each time period in the target category.

[0057] In an embodiment of the present invention, the analysis of the dispersion degree of the temperature data of the heating device in the same time period of all reference historical drying processes in the target category can be achieved by calculating the standard deviation or variance of the temperature data of the heating device in the same time period of all reference historical drying processes in the target category, which is not limited herein.

[0058] The greater the temperature chaos degree in a certain time period in the target category, the more suitable the temperature data in this time period is for drying the xanthate corresponding to the humidity and weight of the target category. Therefore, based on the temperature chaos degree of each time period in the target category, a reference time period can be screened out from all time periods in the target category.

[0059] Preferably, in an embodiment of the present invention, the time period in the target category with a temperature chaos degree greater than the preset chaos threshold can be used as the reference time period of the target category, where the value range of the preset chaos threshold is , in an embodiment of the present invention, the preset chaos threshold is set to 0.6, and the specific value of the preset chaos threshold can also be set by the implementer according to the specific implementation scenario, which is not limited herein.

[0060] At the same time, the greater the drying efficiency of a certain reference historical drying process, the better the drying effect and the lower the energy consumption of this reference historical drying process. 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 of the target category.

[0061] Furthermore, the temperature data of the heating device in each reference time period in the candidate reference historical drying process can be used as the reference temperature data of each reference time period in the target category.

[0062] The reference temperature data of each reference time period in each category can be obtained by the above same method.

[0063] Step S4: Perform energy-saving control on the material drying in the current drying process according to the reference temperature data of different reference time periods in all categories.

[0064] For a certain category, the weight and humidity of the xanthate processed historically in this category are fixed, and when drying the xanthate corresponding to this category by using the reference temperature data of each reference time period in this category obtained above, the drying effect and energy consumption can be guaranteed. Therefore, energy-saving control can be performed on the material drying in the current drying process according to the reference temperature data of different reference time periods in all categories.

[0065] Preferably, in an embodiment of the present invention, the method for performing energy-saving control on the drying tower specifically includes: Select a reference category for the current drying process from all categories. The material humidity data before the historical drying process in the reference category is the same as the material humidity data in 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 in the current drying process; Use the reference temperature data for each reference time period in the reference category to dry the material in the current drying process. Specifically, when treating the xanthate in the current drying process, adjust the temperature data of the heating device in time sequence to the reference temperature data for each reference time period in the reference category, so as to dry the xanthate in the current drying process.

[0066] An embodiment of the present invention provides an energy-saving control device for a drying tower in xanthate production. Please refer to Figure 2 , which shows the structural diagram of an energy-saving control device for a drying tower in 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 installed between the material storage area and the drying tower and between the drying tower and the heating device respectively to collect the material humidity data before and after each historical drying process. Temperature sensors are installed in each reaction chamber to collect the temperature data of each reaction chamber at different time periods during each historical drying process. A temperature sensor is installed between the heating device and the drying tower to collect the temperature data of the gas ejected by the heating device at different time periods during each historical drying process. The control module is sampled and connected to each humidity sensor and each temperature sensor, and processes the obtained material humidity data and temperature data to implement the method described in steps S1 to S4.

[0067] Among them, the control device further includes a feed liquid pump for transporting the xanthate to be processed in the material storage area to the air nozzle, and an air compression device for compressing air to atomize the material in the air nozzle to improve the drying effect. At the same time, a pressure nozzle is used to atomize the material in the reaction chamber where the air nozzle is located again to further improve the drying effect. Then, the hot air discharged from the drying tower is decontaminated and dehumidified through a cyclone separator, a secondary separation device, and a hot cycle gas treatment device, and then enters the heating device together with the externally injected air to realize the recycling of hot air and further reduce the energy consumption of xanthate drying treatment.

[0068] It should be noted that the above sequence of embodiments of the present invention is only for description and does not represent the superiority or inferiority of the embodiments. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0069] Each embodiment in this specification is described in a progressive manner. For the same or similar parts among the embodiments, reference can be made to each other. Each embodiment focuses on the differences from other embodiments.

Claims

1. An energy-saving control method for a drying tower in xanthate production, characterized in that, The method includes: Obtaining temperature data of different reaction chambers in the xanthate production drying tower at different time periods during each historical drying process, as well as temperature data and energy consumption data of the heating device at different time periods during each historical drying process, and simultaneously obtaining material humidity data and material weight data before and after each historical drying process; Taking any one historical drying process as the target historical drying process, obtaining the energy consumption coefficient of the target historical drying process according to the temperature data and energy consumption data of the heating device at different time periods during the target historical drying process; obtaining the drying efficiency of the target historical drying process according to the difference in material humidity data, the difference in material weight data before and after the target historical drying process, and the energy consumption coefficient of the target historical drying process; Grouping historical drying processes with the same material humidity data and the same material weight data before the historical drying process into the same category, taking any one category as the target category, screening out the reference historical drying process in the target category according to the difference in temperature data at the same time period between each historical drying process and the next historical drying process in the target category and the difference in the drying efficiency; obtaining the reference temperature data of different reference time periods in the target category according to the temperature data distribution at the same time period of different reference historical drying processes in the target category and the drying efficiency of each reference historical drying process; According to the reference temperature data of different reference time periods in all categories, perform energy-saving control on the material drying during the current drying process.

2. The energy-saving control method for a drying tower in xanthate production according to claim 1, characterized in that The obtaining of the energy consumption coefficient of the target historical drying process includes: Performing curve fitting on the two-dimensional data points composed of the temperature data and energy consumption data of the heating device at each time period during the target historical drying process to obtain the energy consumption fitting curve of the target historical drying process, where the abscissa of each two-dimensional data point is the temperature data of the heating device at each time period during the target historical drying process, and the ordinate is the energy consumption data of the heating device at each time period during the target historical drying process; Performing definite integral calculation on the energy consumption fitting curve to obtain the first energy consumption parameter of the target historical drying process; Taking the average value of the lengths of all time periods of the heating device during the target historical drying process as the second energy consumption parameter of the target historical drying process; Combining the first energy consumption parameter and the second energy consumption parameter to obtain the energy consumption coefficient of the target historical drying process.

3. The energy-saving control method for the drying tower in xanthate production according to claim 1, characterized in that, The obtaining of the drying efficiency of the target historical drying process includes: Taking the material humidity data before the target historical drying process as the numerator and the material humidity data after the target historical drying process as the denominator, and taking the ratio as the first efficiency evaluation value of the target historical drying process; Taking the material weight data after the target historical drying process as the numerator and the material weight data before the target historical drying process as the denominator, and taking the ratio 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 the third efficiency evaluation value of the target historical drying process; Integrate the first efficiency evaluation value, the second efficiency evaluation value, and the third efficiency evaluation value of the target historical drying process to obtain the drying efficiency of the target historical drying process.

4. A drying tower energy-saving control method for xanthate production according to claim 1, characterized in that The screening of the reference historical drying process in the target category includes: Sort all the historical drying processes in the target category in chronological order, and in the target category, obtain the step temperature change degree of each historical drying process in the target category according to the length difference and temperature data difference of the same time period between each historical drying process and the next adjacent historical drying process for different reaction chambers; In the target category, take the absolute value of the difference in drying efficiency between each historical drying process and the next adjacent historical drying process as the drying efficiency change degree of each historical drying process in the target category; Use the drying efficiency change degree of each historical drying process in the target category as the numerator, and use the sum of the step temperature change degree of each historical drying process in the target category and the preset adjustment parameter as the denominator, and normalize the ratio value to obtain the drying influence coefficient of each historical drying process in the target category; Based on the drying influence coefficients of the historical drying processes in the target category, screen out the reference historical drying processes from all the historical drying processes in the target category.

5. The energy-saving control method for a drying tower in xanthate production according to claim 4, characterized in that The obtaining of the step temperature change degree of each historical drying process in the target category includes: Based on the calculation formula of the step temperature change degree, obtain the step temperature change degree of each historical drying process in the target category, and the calculation formula based on the step temperature change degree is: Among them, represents the step temperature change degree of the th historical drying process in the target category; represents the temperature data of the th reaction chamber in the th historical drying process in the target category during the th time period; represents the length of the th reaction chamber in the th historical drying process in the target category during the th time period; represents the temperature data of the th reaction chamber in the th historical drying process in the target category during the th time period; represents the length of the th reaction chamber in the th historical drying process in the target category during the th time period; represents the number of reaction chambers in the drying tower; represents the minimum value between the number of time periods in the th historical drying process of the th reaction chamber in the target category and the number of time periods in the th historical drying process.

6. A method for energy-saving control of a drying tower in xanthate production according to claim 4, characterized in that The screening of the reference historical drying processes from all the historical drying processes in the target category includes: In the target category, take the historical drying processes with the drying influence coefficient greater than the preset influence threshold as the reference historical drying processes of the target category.

7. A drying tower energy-saving control method for xanthate production according to claim 1, characterized in that, The obtaining of the reference temperature data for different reference time periods in the target category includes: Normalize the dispersion degree of the temperature data of the heating device in the same time period of all the reference historical drying processes in the target category to obtain the temperature chaos degree of each time period in the target category; Based on the temperature chaos degrees of each time period in the target category, screen out the reference time periods from all the time periods in the target category; In the target category, take the reference historical drying process corresponding to the maximum value of the drying efficiency as the candidate reference historical drying process of the target category; Take the temperature data of the heating device in each reference time period of the candidate reference historical drying process as the reference temperature data of each reference time period in the target category.

8. A drying tower energy-saving control method for xanthate production according to claim 7, characterized in that, The screening of the reference time periods from all the time periods in the target category includes: Take the time periods in the target category with the temperature chaos degree greater than the preset chaos threshold as the reference time periods of the target category.

9. The energy-saving control method for a drying tower in xanthate production according to claim 1, characterized in that The energy-saving control of the material drying in the current drying process includes: Select the reference category of the current drying process from all categories, where the material humidity data before the historical drying process in the reference category is the same as the material humidity 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; Using the reference temperature data of each reference time period in the reference category, the material in the current drying process is dried.

10. An energy-saving control device for a drying tower in 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 installed between the material storage area and the drying tower and between the drying tower and the heating device respectively to collect the material humidity data before and after each historical drying process. Temperature sensors are installed in each reaction chamber to collect the temperature data of each reaction chamber at different time periods during each historical drying process. A temperature sensor is installed between the heating device and the drying tower to collect the temperature data of the gas ejected by the heating device at different time periods during each historical drying process. The control module is sampled and connected to each humidity sensor and each temperature sensor, and processes the obtained material humidity data and temperature data to implement the steps of the method according to any one of claims 1 to 9.

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