High-voltage ionization field rapid drying system based on artificial intelligence

Abstract

The invention relates to the field of high-voltage ionization field monitoring, in particular to a high-voltage ionization field rapid drying system based on artificial intelligence, which is suitable for materials with different shapes and sizes by collecting feature information of to-be-dried materials, analyzing the distance and the relative angle of each electrode block in a high-voltage ionization field and laying; drying parameters of the high-voltage ionization field are preliminarily set; the change trend curve of the dielectric constant of the material in the monitoring time period is obtained, the drying strength of the material is analyzed and compared with an expected value, whether the drying parameters of the high-voltage ionization field need to be adjusted or not is judged, and the adjusting information of the drying parameters is analyzed. Excessive drying or insufficient drying of the materials is avoided; the discharge current and voltage of the high-voltage ionization field are monitored in real time, whether gas discharge abnormity exists in the high-voltage ionization field or not is judged, early warning is carried out, and then safe and stable operation of the high-voltage ionization field drying system is guaranteed.

Description

Technical Field

[0001] This invention relates to the field of high-voltage ionization field monitoring, and specifically to a high-voltage ionization field rapid drying system based on artificial intelligence. Background Technology

[0002] High-voltage ionization field drying technology is a novel non-thermal drying technology mainly used in the food, pharmaceutical, and chemical industries. Its basic principle is to use an electric field generated by high voltage to heat and dehydrate the material. The electric field forces polarize and evaporate water molecules, thus achieving the drying process. This technology has advantages such as energy saving and environmental protection, fast drying speed, and no loss of active ingredients, making it particularly suitable for drying heat-sensitive materials.

[0003] Effective control of the high-voltage ionization field drying process can optimize the drying effect, improve drying efficiency, and reduce energy consumption and environmental pollution, which is of practical significance.

[0004] However, existing high-voltage ionization field drying control methods still have some limitations and shortcomings in practical applications.

[0005] For example, Chinese patent CN115164561B discloses a green building material processing dryer with sterilization and bacteriostatic functions, including: a dryer body, which includes a cover, an electroosmosis generator, a positive electrode, and a negative electrode. Each side of the cover is equipped with a set of electric cylinders, the extension ends of which are connected to the positive and negative electrodes respectively. Both the positive and negative electrodes are electrically connected to the electroosmosis generator, creating an electric potential between them. The wood to be dried is placed between the positive and negative electrodes. The electroosmosis generator creates an electric potential between the positive and negative electrodes, generating a low-voltage electromagnetic field formed by a series of positive and negative pulse currents. This ionizes the water molecules in the capillaries of the wet wood and directs them towards the side where the negative electrode is installed, thus causing the water molecules to detach from the wood and achieve the purpose of drying the wood. The rate of water loss from the wood's radial and internal surfaces is basically the same, effectively avoiding the problem of cracking caused by large differences in the rate of water loss from the inside and outside of the wood.

[0006] The aforementioned patent has some shortcomings: Firstly, the electrode of the high-voltage ionization field is a single electrode, which is only suitable for scenarios where the requirements for electric field uniformity are not particularly stringent and the specifications of the dried materials are relatively simple. It cannot meet the application requirements of drying materials of different shapes and sizes, ensuring uniform drying of materials, and high electric field precision.

[0007] Secondly, the lack of precise control over various parameters during the drying process, such as electric field strength, temperature, and gas flow rate, results in poor stability and repeatability of the drying effect. Without real-time monitoring of the material's state changes during the drying process, it is impossible to adjust the drying parameters in a timely manner according to the actual situation of the material, which can easily lead to over-drying or under-drying of the material. Summary of the Invention

[0008] To address the aforementioned problems, this invention proposes a high-voltage ionization field rapid drying system based on artificial intelligence, which enables the monitoring of the high-voltage ionization field.

[0009] The technical solution adopted by the present invention to solve its technical problem is as follows: The present invention provides a high-voltage ionization field rapid drying system based on artificial intelligence, including: a material to be dried information acquisition module: used to acquire the characteristic information of the material to be dried, wherein the characteristic information includes type, shape, size, loading amount, initial moisture content and conductivity.

[0010] Electrode spacing and relative angle setting module: used to analyze and set the spacing and relative angle of each electrode block in the high-voltage ionization field based on the characteristic information of the material to be dried.

[0011] The preliminary setting module for drying parameters is used to analyze the drying parameters referenced by the high-voltage ionization field based on the characteristic information of the material to be dried. These drying parameters include voltage, electric field strength, temperature, gas flow rate, and drying time, which are then set.

[0012] Material drying progress monitoring module: used to obtain the dielectric constant of the material at each sampling time point within the monitoring period, plot the trend curve of the change of the dielectric constant of the material within the monitoring period, and analyze the drying efficiency of the material.

[0013] Adaptive Drying Parameter Adjustment Module: This module compares the drying intensity of the material with the desired drying intensity to determine whether the drying parameters of the high-voltage ionization field need adjustment. If adjustment is required, it further analyzes the adjustment direction and amount of the high-voltage ionization field drying parameters and provides feedback.

[0014] Gas discharge anomaly monitoring and early warning module: used to monitor the discharge current and voltage of the high-voltage ionization field in real time, obtain the fluctuation of the discharge current and voltage of the high-voltage ionization field, determine whether there is a gas discharge anomaly in the high-voltage ionization field, and issue an early warning.

[0015] Database: Used to store the appropriate spacing and relative angle of each electrode block in the high-voltage ionization field corresponding to the thickness characteristic curve examples of material drying in the high-voltage ionization field, and to store historical drying data of the high-voltage ionization field.

[0016] Based on the above embodiments, the specific working process of the electrode spacing and relative angle setting module includes: establishing a spatial model of the material to be dried according to the shape and size of the material to be dried; marking the plane in the material to be dried that is perpendicular to the electric field direction in the high-voltage ionization field as the working surface of the material to be dried; dividing the working surface area of ​​the material to be dried into equal intervals according to the principle of equal width to the electrode block in the high-voltage ionization field, thereby obtaining each sub-region of the working surface of the material to be dried.

[0017] The average thickness of each sub-region of the working surface of the material to be dried is detected and recorded as the thickness of each sub-region of the working surface of the material to be dried. Furthermore, the thickness of the sub-region of the working surface of the material to be dried corresponding to each electrode block in the high-voltage ionization field is obtained and recorded as the thickness of the material to be dried corresponding to each electrode block in the high-voltage ionization field.

[0018] The electrode blocks in the high-voltage ionization field are numbered according to a preset order. Based on the thickness of the material to be dried corresponding to each electrode block in the high-voltage ionization field, the thickness characteristic curve of the material drying in the high-voltage ionization field is plotted.

[0019] Based on the above embodiments, the specific working process of the electrode spacing and relative angle setting module further includes: extracting the appropriate spacing and relative angle of each electrode block in the high-voltage ionization field corresponding to the thickness characteristic curve examples of material drying in the high-voltage ionization field stored in the database.

[0020] The thickness characteristic curve of material drying in the high-voltage ionization field is compared with the examples of thickness characteristic curves of material drying to obtain the degree of overlap between the thickness characteristic curve of material drying in the high-voltage ionization field and the examples of thickness characteristic curves. The thickness characteristic curve example corresponding to the maximum overlap is used as the matching thickness characteristic curve example of the thickness characteristic curve of material drying in the high-voltage ionization field. The appropriate spacing and relative angle of each electrode block in the high-voltage ionization field corresponding to the matching thickness characteristic curve example are used as the spacing and relative angle of each electrode block in the high-voltage ionization field for setting.

[0021] Based on the above embodiments, the specific working process of the material drying progress monitoring module includes: setting the duration of the monitoring time period in the material drying process according to preset principles, and setting each sampling time point within the monitoring time period according to the preset equal time interval principle.

[0022] The dielectric constant of the material at each sampling time point within the monitoring period is obtained using a dielectric constant measuring instrument. A coordinate system is established with the sampling time point as the independent variable and the dielectric constant as the dependent variable. Based on the dielectric constant of the material at each sampling time point within the monitoring period, a trend curve of the material's dielectric constant changing with time is plotted and recorded as the trend curve of the material's dielectric constant changing within the monitoring period.

[0023] Based on the above embodiments, the specific working process of the material drying progress monitoring module further includes: obtaining the maximum and average downward slopes of the material dielectric constant change trend curve during the monitoring period, and substituting them into the preset relationship function between the maximum and average downward slopes of the material dielectric constant change trend curve and the material drying intensity to obtain the material drying intensity.

[0024] Based on the above embodiments, the specific working process of the adaptive adjustment module for drying parameters includes: obtaining the desired drying intensity of the material, comparing the material's drying intensity with the desired drying intensity, obtaining the difference between the material's drying intensity and the desired drying intensity, and recording it as the material's drying intensity deviation. If the material's drying intensity deviation exceeds the preset allowable range of drying intensity deviation, the drying parameters of the high-voltage ionization field need to be adjusted; otherwise, the drying parameters of the high-voltage ionization field do not need to be adjusted.

[0025] Based on the above embodiments, the specific working process of the drying parameter adaptive adjustment module further includes: obtaining the sign of the material drying intensity deviation; if it is a positive sign, the material drying intensity is greater than the expected drying intensity, and the adjustment direction of the high-voltage ionization field drying parameter is to decrease; if it is a negative sign, the material drying intensity is less than the expected drying intensity, and the adjustment direction of the high-voltage ionization field drying parameter is to increase.

[0026] Obtain the absolute value of the material drying intensity deviation, substitute it into the preset relationship function between the absolute value of the material drying intensity deviation and the adjustment amount of the high-voltage ionization field drying parameter, and obtain the adjustment amount of the high-voltage ionization field drying parameter.

[0027] Based on the above embodiments, the specific working process of the gas discharge anomaly monitoring and early warning module is as follows: The discharge current and voltage of the high-voltage ionization field are monitored in real time using a discharge current sensor and voltage monitoring device installed in the high-voltage ionization field. The fluctuations in the discharge current and voltage of the high-voltage ionization field are further obtained and recorded as follows: .

[0028] By analyzing the formula Obtain the gas discharge anomaly risk coefficient in the high-voltage ionization field ,in Represents the natural constant. These represent the influencing factors corresponding to the preset unit discharge current fluctuation and unit voltage fluctuation, respectively.

[0029] The gas discharge anomaly risk coefficient of the high-voltage ionization field is compared with the preset gas discharge anomaly risk coefficient threshold. If the gas discharge anomaly risk coefficient of the high-voltage ionization field is greater than the preset gas discharge anomaly risk coefficient threshold, then there is a gas discharge anomaly in the high-voltage ionization field, and an early warning is issued.

[0030] Compared with the prior art, the high-voltage ionization field rapid drying system based on artificial intelligence described in this invention has the following advantages: 1. The high-voltage ionization field in this invention uses multiple electrodes, which is more flexible. By arranging multiple electrodes, the electric field strength and distribution pattern of the ionization field can be precisely controlled, so that the material is dried evenly and it is suitable for materials of different shapes and sizes.

[0031] 2. This invention monitors the change in the dielectric constant of the material during the drying process, which indirectly reflects the change in the moisture content of the material, further assesses the drying intensity of the material, and then determines whether the drying parameters of the high-voltage ionization field need to be adjusted and obtains adjustment information. It can adaptively adjust the drying parameters based on the actual situation of the material to avoid over-drying or under-drying.

[0032] 3. This invention monitors the discharge current and voltage of the high-voltage ionization field in real time to determine whether there is an abnormal gas discharge in the high-voltage ionization field and provides early warning, which can promptly detect potential safety hazards and thus ensure the safe and stable operation of the high-voltage ionization field drying system. Attached Figure Description

[0033] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0034] Figure 1 This is a system module connection diagram of the present invention.

[0035] Figure 2 This is a flowchart illustrating the initial setup of the high-voltage ionization field drying parameters for this invention.

[0036] Figure 3 This is a flowchart illustrating the adaptive adjustment process of high-voltage ionization field drying parameters according to the present invention. Detailed Implementation

[0037] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0038] Please see Figure 1 As shown, the present invention provides a high-voltage ionization field rapid drying system based on artificial intelligence, including a material to be dried information acquisition module, an electrode spacing and relative angle setting module, a drying parameter preliminary setting module, a material drying progress monitoring module, a drying parameter adaptive adjustment module, a gas discharge abnormality monitoring and early warning module, and a database.

[0039] The electrode spacing and relative angle setting module is connected to the material to be dried information acquisition module and the drying parameter preliminary setting module, respectively. The material drying progress monitoring module is connected to the drying parameter preliminary setting module and the drying parameter adaptive adjustment module, respectively. The gas discharge abnormality monitoring and early warning module is connected to the drying parameter adaptive adjustment module, respectively. The database is connected to the electrode spacing and relative angle setting module and the drying parameter preliminary setting module, respectively.

[0040] The material to be dried information acquisition module is used to collect the characteristic information of the material to be dried, including type, shape, size, loading amount, initial moisture content and electrical conductivity.

[0041] The electrode spacing and relative angle setting module is used to analyze and set the spacing and relative angle of each electrode block in the high-voltage ionization field based on the characteristic information of the material to be dried.

[0042] Furthermore, the specific working process of the electrode spacing and relative angle setting module includes: establishing a spatial model of the material to be dried according to its shape and size; marking the plane in the material to be dried that is perpendicular to the electric field direction in the high-voltage ionization field as the working surface of the material to be dried; and dividing the working surface area of ​​the material to be dried into sub-regions according to the principle that the width of the electrode block in the high-voltage ionization field is equal to that of the working surface area of ​​the material to be dried.

[0043] The average thickness of each sub-region of the working surface of the material to be dried is detected and recorded as the thickness of each sub-region of the working surface of the material to be dried. Furthermore, the thickness of the sub-region of the working surface of the material to be dried corresponding to each electrode block in the high-voltage ionization field is obtained and recorded as the thickness of the material to be dried corresponding to each electrode block in the high-voltage ionization field.

[0044] The electrode blocks in the high-voltage ionization field are numbered according to a preset order. Based on the thickness of the material to be dried corresponding to each electrode block in the high-voltage ionization field, the thickness characteristic curve of the material drying in the high-voltage ionization field is plotted.

[0045] It should be noted that the working principle of the high-voltage ionization field is as follows: In the high-voltage ionization field, a high voltage is applied between the electrodes, causing the gas molecules to ionize and generate a large amount of plasma. The ions in the plasma move directionally under the action of the electric field to form an ion wind. The ion wind has high energy and speed. When it blows onto the surface of the material to be dried, it can quickly remove the moisture from the surface of the material and accelerate the diffusion and migration of moisture from the inside of the material to the surface, thereby achieving rapid drying of the material.

[0046] It should be noted that the high-voltage ionization field equipment consists of a high-voltage power supply, an electrode system, a drying chamber, and a ventilation system. The high-voltage power supply provides high voltage for the ionization field and is usually a high-frequency high-voltage power supply. The electrode system consists of an anode and a cathode and is a key component for generating plasma and ion wind. The drying chamber is used to place the material to be dried. The ventilation system is used to exhaust water vapor and waste gas generated during the drying process, and can also regulate the air humidity and temperature inside the drying chamber.

[0047] In one specific embodiment, the electric field direction in the high-voltage ionization field is from top to bottom, so the working surface of the material to be dried is a horizontal plane.

[0048] As a preferred embodiment, the high-voltage ionization field electrode in this invention consists of multiple identical electrodes. Different electrodes can be independently subjected to different voltages, creating complex potential gradients to meet diverse drying requirements. Furthermore, when some electrodes are damaged or experience performance degradation, they can be disassembled and replaced, resulting in low maintenance costs and difficulty.

[0049] As a preferred option, each sub-region of the working surface of the material to be dried has a corresponding electrode block in a high-voltage ionization field.

[0050] In one specific embodiment, the electrodes in the high-voltage ionization field are arranged in a row, and the electrode blocks in the high-voltage ionization field are numbered in order from left to right or from right to left.

[0051] As a preferred approach, the thickness characteristic curve of material drying in a high-voltage ionization field is plotted. The specific method is as follows: a coordinate system is established with the electrode block number in the high-voltage ionization field as the abscissa and the thickness of the material to be dried corresponding to the electrode block as the ordinate. According to the thickness of the material to be dried corresponding to each electrode block in the high-voltage ionization field, the corresponding data points are marked in the coordinate system. The thickness characteristic curve of material drying in the high-voltage ionization field is plotted using the mathematical model establishment method.

[0052] As a preferred option, in a high-voltage ionization field, the relative angle of the electrodes refers to the angle between two electrodes, such as an anode and a cathode.

[0053] Furthermore, the specific working process of the electrode spacing and relative angle setting module also includes: extracting the appropriate spacing and relative angle of each electrode block in the high-voltage ionization field corresponding to the thickness characteristic curve examples of material drying in the high-voltage ionization field stored in the database.

[0054] The thickness characteristic curve of material drying in the high-voltage ionization field is compared with the examples of thickness characteristic curves of material drying to obtain the degree of overlap between the thickness characteristic curve of material drying in the high-voltage ionization field and the examples of thickness characteristic curves. The thickness characteristic curve example corresponding to the maximum overlap is used as the matching thickness characteristic curve example of the thickness characteristic curve of material drying in the high-voltage ionization field. The appropriate spacing and relative angle of each electrode block in the high-voltage ionization field corresponding to the matching thickness characteristic curve example are used as the spacing and relative angle of each electrode block in the high-voltage ionization field for setting.

[0055] As a preferred embodiment, the appropriate spacing and relative angle of each electrode block in the high-voltage ionization field corresponding to the thickness characteristic curves of material drying in the high-voltage ionization field stored in the database are obtained based on historical high-voltage ionization field drying experience and related data analysis.

[0056] It should be noted that the high-voltage ionization field in this invention uses multiple electrodes, which provides greater flexibility. By arranging multiple electrodes, the electric field strength and distribution pattern of the ionization field can be precisely controlled, resulting in uniform drying of materials and making it suitable for materials of different shapes and sizes.

[0057] The preliminary drying parameter setting module is used to analyze the drying parameters referenced by the high-voltage ionization field based on the characteristic information of the material to be dried. The drying parameters include voltage, electric field strength, temperature, gas flow rate, and drying time, and are set accordingly.

[0058] Further, see Figure 2 As shown, the specific working process of the preliminary setting module for drying parameters includes: extracting historical drying data of high-voltage ionization field stored in the database, obtaining the drying parameters of each historical drying in the high-voltage ionization field and the characteristic information of the material, wherein the drying parameters include voltage, electric field strength, temperature, gas flow rate and drying time.

[0059] If the type of material dried in a historical drying process is the same as the type of material to be dried, then that drying process is recorded as a designated drying process, and the drying parameters and material characteristic information of each designated drying process in history are filtered.

[0060] The characteristic information of the material to be dried in each historical specified drying cycle is compared with the characteristic information of the material to be dried. The shape similarity, size deviation, loading deviation, initial moisture content deviation, and conductivity deviation between the material to be dried and the material to be dried in each historical specified drying cycle are obtained and denoted as follows: , Indicates the historical number The next specified drying number, By analyzing the formula Obtain reference coefficients for each specified drying process in history. ,in These represent the preset thresholds for shape similarity, size deviation, loading deviation, initial moisture content deviation, and conductivity deviation, respectively. These represent the weights of the preset shape, size, loading capacity, initial moisture content, and conductivity, respectively. .

[0061] As a preferred option, the loading amount of the material is the weight of the material.

[0062] As a preferred embodiment, the weights of shape, size, loading, initial moisture content, and conductivity are set according to their importance in assessing the similarity between the material to be dried and the material to be dried in each historical specified drying process. In one specific embodiment, the weights of shape, size, loading, initial moisture content, and conductivity are 0.1, 0.15, 0.25, 0.25, and 0.25, respectively.

[0063] Furthermore, the specific working process of the preliminary setting module for drying parameters also includes: comparing the reference coefficients of each specified drying in history, taking the historical drying corresponding to the largest reference coefficient as the reference historical drying, screening the drying parameters of the reference historical drying, and setting them as the drying parameters for the high-voltage ionization field reference.

[0064] As a preferred method, drying voltage and electric field strength have a significant impact on drying speed. Higher voltage and stronger electric field strength result in a stronger impact of ion wind, thereby accelerating moisture evaporation and the drying process. However, excessively high voltage can damage materials or equipment. The electric field strength of the ionization field can be changed by adjusting the output voltage of the high-voltage power supply.

[0065] As a preferred method, increasing the temperature can significantly improve the drying rate. The ionization field and the temperature of the material can be adjusted using heating or cooling devices.

[0066] As a preferred option, a higher gas flow rate enhances the effect of the ionizing wind, thereby accelerating the drying rate. A gas flow meter can be used to control the gas flow rate introduced into the ionization field.

[0067] As a preferred option, within a certain range, extending the drying time can remove moisture from the material more thoroughly. However, excessively long drying times may lead to over-drying of the material, affecting its quality and performance.

[0068] The material drying progress monitoring module is used to obtain the dielectric constant of the material at each sampling time point within the monitoring period, plot the trend curve of the material dielectric constant change within the monitoring period, and analyze the drying intensity of the material.

[0069] Furthermore, the specific working process of the material drying progress monitoring module includes: setting the duration of the monitoring time period during the material drying process according to preset principles, and setting each sampling time point within the monitoring time period according to preset equal time interval principles.

[0070] The dielectric constant of the material at each sampling time point within the monitoring period is obtained using a dielectric constant measuring instrument. A coordinate system is established with the sampling time point as the independent variable and the dielectric constant as the dependent variable. Based on the dielectric constant of the material at each sampling time point within the monitoring period, a trend curve of the material's dielectric constant changing with time is plotted and recorded as the trend curve of the material's dielectric constant changing within the monitoring period.

[0071] It should be noted that the dielectric constant of a material is closely related to its moisture content. The higher the moisture content, the greater the dielectric constant. In a high-voltage ionization field, this property can be utilized to monitor the degree of dryness by measuring the dielectric constant of the material. When the material dries, the moisture content decreases, and the dielectric constant decreases accordingly.

[0072] As a preferred method, when testing the dielectric constant of a material, the probe of the dielectric constant measuring instrument is brought close to the material for measurement.

[0073] As a preferred embodiment, the dielectric constant measuring instrument can overcome the interference of ionization fields to a certain extent, and obtain more accurate dielectric constant data by filtering and calibrating the measurement signal.

[0074] In another specific embodiment, the progress or intensity of material drying can also be obtained by monitoring information such as weight, humidity, temperature, conductivity, and refractive index during the material drying process.

[0075] Furthermore, the specific working process of the material drying progress monitoring module also includes: obtaining the maximum and average downward slopes of the material dielectric constant change trend curve during the monitoring period based on the change trend curve of the material dielectric constant during the monitoring period, and substituting them into the preset relationship function between the maximum and average downward slopes of the material dielectric constant change trend curve and the material drying intensity to obtain the material drying intensity.

[0076] As a preferred approach, the average downward slope of the material dielectric constant change trend curve is obtained during the monitoring period. The specific method is as follows: select several data points on the material dielectric constant change trend curve according to the preset principle, obtain the downward slope corresponding to each data point, and calculate the average value to obtain the average downward slope of the material dielectric constant change trend curve.

[0077] As a preferred option, the relationship between the maximum and average downward slopes of the material's dielectric constant variation trend curve and the material's drying intensity is a positive correlation function, meaning that the greater the maximum downward slope and the greater the average downward slope, the greater the material's drying intensity.

[0078] The adaptive adjustment module for drying parameters is used to compare the drying intensity of the material with the desired drying intensity, determine whether the drying parameters of the high-voltage ionization field need to be adjusted, and if adjustment is required, further analyze the adjustment direction and amount of the high-voltage ionization field drying parameters and provide feedback.

[0079] Further, see Figure 3 As shown, the specific working process of the adaptive adjustment module for drying parameters includes: obtaining the desired drying intensity of the material, comparing the material's drying intensity with the desired drying intensity, obtaining the difference between the material's drying intensity and the desired drying intensity, and recording it as the material's drying intensity deviation. If the material's drying intensity deviation exceeds the preset allowable range of drying intensity deviation, the drying parameters of the high-voltage ionization field need to be adjusted; otherwise, the drying parameters of the high-voltage ionization field do not need to be adjusted.

[0080] As a preferred option, the desired drying intensity of the material is set according to the actual application requirements.

[0081] Furthermore, the specific working process of the drying parameter adaptive adjustment module also includes: obtaining the sign of the material drying intensity deviation; if it is a positive sign, the material drying intensity is greater than the expected drying intensity, and the adjustment direction of the high-voltage ionization field drying parameter is to decrease; if it is a negative sign, the material drying intensity is less than the expected drying intensity, and the adjustment direction of the high-voltage ionization field drying parameter is to increase.

[0082] Obtain the absolute value of the material drying intensity deviation, substitute it into the preset relationship function between the absolute value of the material drying intensity deviation and the adjustment amount of the high-voltage ionization field drying parameter, and obtain the adjustment amount of the high-voltage ionization field drying parameter.

[0083] As a preferred option, the relationship between the absolute value of the material drying intensity deviation and the adjustment amount of the high-voltage ionization field drying parameters is a positive correlation function, that is, the larger the absolute value of the material drying intensity deviation, the larger the adjustment amount of the high-voltage ionization field drying parameters.

[0084] As a preferred approach, the adjustment values ​​of the various drying parameters in the high-voltage ionization field are not necessarily the same; that is, the adjustment strength of each drying parameter in the high-voltage ionization field is not necessarily the same. The adjustment value of each drying parameter in the high-voltage ionization field is set according to its influence on the drying intensity of the high-voltage ionization field; the greater the influence, the greater the adjustment strength.

[0085] It should be noted that this invention indirectly reflects the change in the material's moisture content by monitoring the change in the material's dielectric constant during the drying process, further assessing the drying intensity of the material, and then determining whether the drying parameters of the high-voltage ionization field need to be adjusted and obtaining adjustment information. It can adaptively adjust the drying parameters based on the actual situation of the material, avoiding over-drying or under-drying of the material.

[0086] The gas discharge anomaly monitoring and early warning module is used to monitor the discharge current and voltage of the high-voltage ionization field in real time, obtain the fluctuation of the discharge current and voltage of the high-voltage ionization field, determine whether there is a gas discharge anomaly in the high-voltage ionization field, and issue an early warning.

[0087] Furthermore, the specific working process of the gas discharge anomaly monitoring and early warning module is as follows: The discharge current and voltage of the high-voltage ionization field are monitored in real time using a discharge current sensor and voltage monitoring device installed in the high-voltage ionization field. The fluctuations in the discharge current and voltage of the high-voltage ionization field are further obtained and recorded as follows: .

[0088] By analyzing the formula Obtain the gas discharge anomaly risk coefficient in the high-voltage ionization field ,in Represents the natural constant. These represent the influencing factors corresponding to the preset unit discharge current fluctuation and unit voltage fluctuation, respectively.

[0089] The gas discharge anomaly risk coefficient of the high-voltage ionization field is compared with the preset gas discharge anomaly risk coefficient threshold. If the gas discharge anomaly risk coefficient of the high-voltage ionization field is greater than the preset gas discharge anomaly risk coefficient threshold, then there is a gas discharge anomaly in the high-voltage ionization field, and an early warning is issued.

[0090] It should be noted that this invention, by real-time monitoring of the discharge current and voltage of the high-voltage ionization field, determines whether there is an abnormal gas discharge in the high-voltage ionization field and provides early warning, thus enabling timely detection of potential safety hazards and ensuring the safe and stable operation of the high-voltage ionization field drying system.

[0091] The database is used to store the appropriate spacing and relative angle of each electrode block in the high-voltage ionization field corresponding to the thickness characteristic curve examples of material drying in the high-voltage ionization field, and to store historical drying data of the high-voltage ionization field.

[0092] The above content is merely an example and illustration of the concept of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described, or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, and all such modifications and additions should fall within the protection scope of the present invention.

Claims

1. A high-voltage ionization field rapid drying system based on artificial intelligence, characterized in that: include: Information collection module for materials to be dried: used to collect characteristic information of materials to be dried, including type, shape, size, loading amount, initial moisture content and conductivity; Electrode spacing and relative angle setting module: used to analyze the spacing and relative angle of each electrode block in the high-voltage ionization field and set them according to the characteristic information of the material to be dried; Drying parameter preliminary setting module: used to analyze the drying parameters of the high-voltage ionization field reference according to the characteristic information of the material to be dried, where the drying parameters include voltage, electric field strength, temperature, gas flow, and drying time, and set them; Material drying progress monitoring module: used to obtain the dielectric constant of the material at each sampling time point within the monitoring period, draw the change trend curve of the dielectric constant of the material within the monitoring period, and analyze the drying intensity of the material; Drying parameter adaptive adjustment module: used to compare the drying intensity of the material with the expected drying intensity, determine whether the drying parameters of the high-voltage ionization field need to be adjusted, and if adjustment is required, further analyze the adjustment direction and adjustment amount of the high-voltage ionization field drying parameters and provide feedback; Gas discharge abnormality monitoring and early warning module: used to monitor the discharge current and voltage of the high-voltage ionization field in real time, obtain the fluctuation of the discharge current and voltage of the high-voltage ionization field, determine whether there is gas discharge abnormality in the high-voltage ionization field, and issue an early warning; Database: used to store the appropriate spacing and relative angles of each electrode block in the high-voltage ionization field corresponding to each thickness characteristic curve example of material drying in the high-voltage ionization field, and store the historical drying data of the high-voltage ionization field.

2. The artificial intelligence-based high-voltage ionization field rapid drying system according to claim 1, characterized in that: The specific working process of the electrode spacing and relative angle setting module includes: According to the shape and size of the material to be dried, a spatial model of the material to be dried is established, and the plane in the material to be dried that is perpendicular to the electric field direction in the high-voltage ionization field is recorded as the working surface of the material to be dried, and the working surface area of ​​the material to be dried is divided into equal intervals according to the principle of being equal to the width of the electrode block in the high-voltage ionization field, so as to obtain each sub-area of ​​the working surface of the material to be dried; Detect the average thickness of each sub-area of ​​the working surface of the material to be dried, and record it as the thickness of each sub-area of ​​the working surface of the material to be dried, and further obtain the thickness of the sub-area of ​​the working surface of the material to be dried corresponding to each electrode block in the high-voltage ionization field, and record it as the thickness of the material to be dried corresponding to each electrode block in the high-voltage ionization field; The electrode blocks in the high-voltage ionization field are numbered in a preset order, and a thickness characteristic curve of material drying in the high-voltage ionization field is drawn according to the thickness of the material to be dried corresponding to each electrode block in the high-voltage ionization field.

3. The artificial intelligence-based high-voltage ionization field rapid drying system according to claim 2, characterized in that: The specific working process of the electrode spacing and relative angle setting module also includes: Extracting appropriate spacing and relative angles of various electrode blocks in the high-voltage ionization field corresponding to various thickness characteristic curve examples of material drying in the high-voltage ionization field stored in the database; The thickness characteristic curve of material drying in the high-voltage ionization field is compared with each thickness characteristic curve example of material drying to obtain the degree of overlap between the thickness characteristic curve of material drying in the high-voltage ionization field and each thickness characteristic curve example, and the thickness characteristic curve example corresponding to the maximum degree of overlap is used as the matching thickness characteristic curve example of the thickness characteristic curve of material drying in the high-voltage ionization field, and the appropriate spacing and relative angle of each electrode block in the high-voltage ionization field corresponding to the matching thickness characteristic curve example are used as the spacing and relative angle of each electrode block in the high-voltage ionization field for setting.

4. The artificial intelligence-based high-voltage ionization field rapid drying system according to claim 1, characterized in that: The specific working process of the drying parameter preliminary setting module includes: Extract the historical drying data of the high-voltage ionization field stored in the database, and obtain the drying parameters of each historical drying in the high-voltage ionization field and the characteristic information of the material, wherein the drying parameters include voltage, electric field strength, temperature, gas flow rate, and drying time; If the type of material dried in a certain history is the same as the type of the material to be dried, then this drying is recorded as designated drying, and the drying parameters of each designated drying in history and the characteristic information of the material are screened; The characteristic information of the materials specified for drying in each history is compared with the characteristic information of the materials to be dried, and the shape similarity, size deviation, loading deviation, initial moisture content deviation and conductivity deviation between the materials specified for drying in each history and the materials to be dried are obtained, which are recorded as , Indicates the history Specify the drying number. , by analyzing the formula Get the reference coefficients for each specified drying in history ,in They represent the preset thresholds of shape similarity, size deviation, loading deviation, initial moisture content deviation and conductivity deviation, respectively. represent the weights of the preset shape, size, loading, initial moisture content and conductivity, respectively. .

5. The artificial intelligence-based high-voltage ionization field rapid drying system according to claim 4, characterized in that: The specific working process of the drying parameter preliminary setting module also includes: Compare the reference coefficients of each specified drying in history, take the historical drying corresponding to the maximum reference coefficient as the reference historical drying, filter the drying parameters of the reference historical drying, and set them as the drying parameters of the high-voltage ionization field reference.

6. The artificial intelligence-based high-voltage ionization field rapid drying system according to claim 1, characterized in that: The specific working process of the material drying progress monitoring module includes: The duration of the monitoring period is set during the material drying process according to the preset principle, and each sampling time point is set within the monitoring period according to the preset equal time interval principle; The dielectric constant of the material at each sampling time point within the monitoring time period is obtained through a dielectric constant measuring instrument, and a coordinate system is established with the sampling time point as the independent variable and the dielectric constant as the dependent variable. According to the dielectric constant of the material at each sampling time point within the monitoring time period, a trend curve of the change of the dielectric constant of the material over time within the monitoring time period is drawn, and it is recorded as the change trend curve of the dielectric constant of the material within the monitoring time period.

7. The artificial intelligence-based high-voltage ionization field rapid drying system according to claim 6, characterized in that: The specific working process of the material drying progress monitoring module also includes: According to the change trend curve of the dielectric constant of the material during the monitoring period, the maximum downward slope and the average downward slope of the dielectric constant change trend curve of the material during the monitoring period are obtained, and they are substituted into the preset relationship function between the maximum downward slope and the average downward slope of the dielectric constant change trend curve of the material and the drying intensity of the material to obtain the drying intensity of the material.

8. The artificial intelligence-based high-voltage ionization field rapid drying system according to claim 1, characterized in that: The specific working process of the drying parameter adaptive adjustment module includes: Obtain the expected drying intensity of the material, compare the drying intensity of the material with the expected drying intensity, obtain the difference between the drying intensity of the material and the expected drying intensity, and record it as the drying intensity deviation of the material. If the drying intensity deviation of the material exceeds the preset allowable range of the drying intensity deviation, the drying parameters of the high-voltage ionization field need to be adjusted. Otherwise, the drying parameters of the high-voltage ionization field do not need to be adjusted.

9. The artificial intelligence-based high-voltage ionization field rapid drying system according to claim 8, characterized in that: The specific working process of the drying parameter adaptive adjustment module also includes: Obtain the sign of the material drying intensity deviation. If it is a positive sign, the material drying intensity is greater than the expected drying intensity. At this time, the adjustment direction of the high-voltage ionization field drying parameters is to decrease. If it is a negative sign, the material drying intensity is less than the expected drying intensity. At this time, the adjustment direction of the high-voltage ionization field drying parameters is to increase. The absolute value of the material drying intensity deviation is obtained, and it is substituted into the relationship function between the preset absolute value of the material drying intensity deviation and the adjustment amount of the high-voltage ionization field drying parameter to obtain the adjustment amount of the high-voltage ionization field drying parameter.

10. The artificial intelligence-based high-voltage ionization field rapid drying system according to claim 1, characterized in that: The specific working process of the gas discharge abnormality monitoring and early warning module is as follows: The discharge current sensor and voltage monitoring device installed in the high-voltage ionization field are used to monitor the discharge current and voltage of the high-voltage ionization field in real time, and the fluctuation of the discharge current and voltage of the high-voltage ionization field is further obtained, which are recorded as ; By analyzing the formula Obtain the gas discharge anomaly risk factor of the high voltage ionization field ,in represents a natural constant, Respectively represent the impact factors corresponding to the preset unit discharge current fluctuation amount and unit voltage fluctuation amount; The gas discharge anomaly risk coefficient of the high-voltage ionization field is compared with the preset gas discharge anomaly risk coefficient threshold. If the gas discharge anomaly risk coefficient of the high-voltage ionization field is greater than the preset gas discharge anomaly risk coefficient threshold, there is gas discharge anomaly in the high-voltage ionization field and an early warning is issued.

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