Small corn drying equipment with intelligent temperature control system

Abstract

The invention relates to the field of energy-saving drying equipment control, in particular to small corn drying equipment with an intelligent temperature control system, which comprises a small corn drying equipment body, a corn drying temperature analysis module, a temperature control module and a control module, the corn drying temperature analysis module comprises a data acquisition module, a calculation chip and a corn drying temperature control module; the corn drying temperature control module is used for controlling temperature heat received by corn in the small corn drying equipment; the data acquisition module is used for acquiring drying temperature data sequences of detection points at the tops of different drying cavities; and the calculation chip is used for carrying out position distribution and hot air flowing characteristic analysis according to the drying temperature data sequence to determine an intelligent rotating speed adjusting coefficient and outputting a control instruction. According to the corn drying device, heat waste during corn drying is reduced, and heat generated by temperature during corn drying is more intelligent.

Description

Technical Field

[0001] The present invention relates to the field of energy-saving drying equipment control, and particularly to a small corn drying equipment with an intelligent temperature control system. Background Art

[0002] With the continuous deepening of the degree of agricultural modernization, the agricultural labor relations and labor subjects have changed. The emergence of new agricultural business entities enables centralized management of land, thus leading to a significant concentration of grain production capacity. Among them, corn, as one of the main grains, is widely planted due to its relatively loose planting conditions. However, the relatively backward grain warehouses and inefficient grain storage methods can no longer meet the current corn storage requirements. The newly harvested corn in agricultural land needs to be dried to a safe moisture content before it can be stored in the warehouse for a long time. Currently, the existing drying equipment is large in scale and few in distribution, suitable for large agricultural enterprises. For farmers and some small and medium-sized cooperatives, generally, they need to transport the drying equipment to a designated location, but the time cost generated by transportation is too large, resulting in the newly harvested corn of farmers and some small and medium-sized cooperatives not being able to be effectively dried in a timely manner.

[0003] The existing corn drying equipment is usually a device that makes hot air flow to dry the moisture of corn. During the actual drying process of corn, first, the equipment needs to be started for a certain period of preheating, and then the newly harvested corn is put into the drying equipment. When the corn is transported in the drying equipment, it will form accumulations to varying degrees. As the corn moves in the drying equipment, the hot air flow at different positions inside the drying equipment will be different, resulting in different drying temperatures at different positions, which may cause the corn to be scorched or have a large moisture content, reducing the effective utilization rate of the energy of the drying equipment and the drying efficiency of the corn. Summary of the Invention

[0004] The present invention provides a small corn drying equipment with an intelligent temperature control system to solve the existing problems: when the corn is transported in the drying equipment, it will form accumulations to varying degrees. As the corn moves in the drying equipment, the hot air flow at different positions inside the drying equipment will be different, resulting in different drying temperatures at different positions, which may cause the corn to be scorched or have a large moisture content.

[0005] The purpose of the present invention is to provide a small corn drying equipment with an intelligent temperature control system, and the specific technical solution adopted is as follows:

[0006] A small corn drying equipment with an intelligent temperature control system includes a small corn drying equipment body. The small corn drying equipment body includes a corn drying temperature analysis module, the corn drying temperature analysis module is installed on the small corn drying equipment body, and the corn drying temperature analysis module includes a data acquisition module, a calculation chip, and a corn drying temperature control module;

[0007] The data acquisition module is connected to the signal input end of the computing chip, and the signal output end of the computing chip is connected to the corn drying temperature control module, and the corn drying temperature control module is used to control the temperature and heat received by the corn in the small corn drying equipment; the data acquisition module is used to collect the drying temperature data sequence of the detection points on the top of different drying chambers, and transmit it to the computing chip;

[0008] In the drying temperature data sequence of any detection point on the top of the drying chamber, the temperature difference between the hot air in the drying chamber and the top of the drying chamber is analyzed, and the proportional relationship between the extreme fluctuations of different local data in the drying temperature data sequence is used as the continuous stability of the drying environment at the detection point on the top of the drying chamber; the extreme temperature change at the latest moment in the drying temperature data sequence is analyzed, and the value after the continuous stability of the drying environment is combined as the completion degree of the chamber preheating at the detection point on the top of the drying chamber;

[0009] Analyze the temperature variation range in the drying temperature data sequence and use it as the corn drying suitability of the detection point at the top of the drying chamber; analyze the corn moisture evaporation efficiency of the detection point at the top of the drying chamber in the drying chamber to which it belongs according to the corn drying suitability and the preheating completion degree in the chamber, and use the proportional relationship between the corn drying suitability and the preheating completion degree in the chamber as the corn control weight of the detection point at the top of the drying chamber; according to the distribution distance of different detection points at the top of the drying chamber in the drying chamber to which they belong, fit the corn control weight to the corrected value and use it as the real control weight of the corn at the detection point at the top of the drying chamber; according to the real control weight of the corn, comprehensively analyze the distance from the detection point at the top of the drying chamber to the end of the drying chamber to obtain the intelligent speed adjustment coefficient of the drying roller;

[0010] The control command is output according to the intelligent speed adjustment coefficient to control the rotation speed of the drying roller and perform intelligent temperature control.

[0011] Preferably, the method for obtaining the continuous stability of the drying environment is:

[0012] According to the extreme value distribution relationship in the drying temperature data sequence of the detection point on the top of the drying chamber, the continuous stability of the drying environment and the heat wave temperature fluctuation period of the detection point on the top of the drying chamber are obtained; the proportional relationship between the cavity temperature stability and the heat wave temperature fluctuation period is used as the continuous stability of the drying environment at the detection point on the top of the drying chamber.

[0013] Preferably, the method for obtaining the heat wave temperature fluctuation period is:

[0014] The average distribution interval between adjacent maximum values ​​in the comprehensive drying temperature data sequence is taken as the heat wave temperature fluctuation period of the detection point on the top of the drying chamber.

[0015] Preferably, the method for obtaining the cavity temperature stability is as follows:

[0016] Within the drying temperature data sequence, by synthesizing the average temperature difference between different minimum values within the range of the preset number of minimum values, the cavity temperature stability of the detection point at the top of the drying cavity is obtained.

[0017] Preferably, the method for obtaining the degree of preheating completion inside the cavity is as follows:

[0018] Based on the drying temperature data sequence, obtain the similarity of the heat wave cavity temperature at the detection point at the top of the drying cavity; take the product of the continuous stability of the drying environment and the similarity of the heat wave cavity temperature as the degree of preheating completion inside the cavity at the detection point at the top of the drying cavity.

[0019] Preferably, the method for obtaining the similarity of the heat wave cavity temperature is as follows:

[0020] Obtain the minimum value and the maximum value under the latest conditions in the drying temperature data sequence, and take the inverse proportional value of the temperature difference between the minimum value and the maximum value under the latest conditions as the similarity of the heat wave cavity temperature at the detection point at the top of the drying cavity.

[0021] Preferably, the method for obtaining the suitability of corn drying is as follows:

[0022] Obtain the median of the cavity temperature; take the average value of the extreme values in the drying temperature data sequence at the detection point at the top of the drying cavity as the average value of the overall cavity environment temperature at the detection point at the top of the drying cavity; take the proportional relationship between the average value of the overall cavity environment temperature and the median of the cavity temperature as the suitability of corn drying at the detection point at the top of the drying cavity.

[0023] Preferably, the method for obtaining the corn regulation weight is as follows:

[0024] Take the ratio between the suitability of corn drying and the degree of preheating completion inside the cavity as the corn regulation weight at the detection point at the top of the drying cavity.

[0025] Preferably, the method for obtaining the true corn regulation weight is as follows:

[0026] Take the horizontal distribution line of different detection points at the top of the drying cavity in the drying cavity as the two-dimensional horizontal axis reference baseline; take the horizontal line after the equal-proportion contraction of the two-dimensional horizontal axis reference baseline as the two-dimensional horizontal axis, and take the true corn regulation weight as the two-dimensional vertical axis; according to the two-dimensional horizontal axis and the two-dimensional vertical axis, construct a two-dimensional space coordinate system, perform curve fitting on the true corn regulation weight, and take the value after fitting the true corn regulation weight as the true corn regulation weight.

[0027] Preferably, the method for obtaining the intelligent speed adjustment coefficient is as follows:

[0028] The distance from the detection point at the top of the drying chamber to the end of the drying chamber is used as the extended distance of the chamber detection point for the detection point at the top of the drying chamber; the proportional relationship between the true regulation weight of the corn and the extended distance of the chamber detection point is used as the corn transfer speed adjustment coefficient for the detection point at the top of the drying chamber; the cumulative result of the corn transfer speed adjustment coefficients of all detection points at the top of the drying chamber is used as the intelligent rotation speed adjustment coefficient of the drying roller.

[0029] The beneficial effects of the technical solution of the present invention are as follows: By analyzing the temperature drop between the hot air in the drying chamber and the top of the drying chamber, and combining the analysis of the extreme change magnitude of the temperature at the latest moment in the drying temperature data sequence, the in-chamber preheating completion degree of the detection point at the top of the drying chamber is obtained; the in-chamber preheating completion degree is used to describe the degree of influence of the preheating effect when the corn stays in the area below the position of different detection points at the top of the drying chamber, and quantifies the drying effect when the corn is transferred to the area below different detection points at the top of the drying chamber in the drying chamber; then analyze the magnitude of the temperature change range in the drying temperature data sequence, and combine the in-chamber preheating completion degree to analyze the corn moisture evaporation efficiency of the detection point at the top of the drying chamber, and obtain the corn regulation weight of the detection point at the top of the drying chamber; comprehensively analyze the distances from different detection points at the top of the drying chamber to the end of the drying chamber, and obtain the intelligent rotation speed adjustment coefficient of the drying roller; the present invention analyzes the response of different detection points at the top of the drying chamber in the drying chamber to the internal hot air of the chamber, further analyzes the drying intensity of the moisture of the corn itself when the corn approaches the end of the drying chamber through different detection points at the top of the drying chamber, obtains the intelligent rotation speed adjustment coefficient of the drying roller, and intelligently controls the temperature and heat received by the corn; the present invention reduces the transportation difficulty of the drying equipment, reduces the heat waste during corn drying, makes the heat generated by the temperature during corn drying more intelligent, and improves the drying efficiency of the corn. Description of the Drawings

[0030] In order to more clearly illustrate the technical solutions 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 following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0031] Figure 1 It is a schematic structural diagram of a small corn drying equipment with an intelligent temperature control system of the present invention;

[0032] Figure 2 It is a schematic flow diagram of the processing of the drying temperature data sequence by the calculation chip in a small corn drying equipment with an intelligent temperature control system of the present invention;

[0033] Figure 3 It is a schematic cross-sectional rotation diagram of the drying roller of the present invention;

[0034] Figure 4 It is a schematic diagram of the two-dimensional space coordinate system of the drying chamber of the present invention.

[0035] Figure 1 The reference numerals in it are: 1, servo motor; 2, feeding motor; 3, feeding trough; 4, conveyor belt; 5, transmission shaft; 6, belt; 7, temperature sensor; 8, mesh grille; 9, drying roller; 10, air hole; 11, blower; 12, discharge port; 13, air pipe; 14, drying chamber; 15, spiral fan surface; 16, diversion groove; 17, gas shunt pipe; 18, power supply. Specific embodiments

[0036] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the intended invention purpose, the following combines the drawings and preferred embodiments to detail the specific embodiments, structures, features and effects of a small corn drying device with an intelligent temperature control system 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.

[0037] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present invention belongs.

[0038] This embodiment provides a small corn drying device with an intelligent temperature control system, including the small corn drying device body. A corn drying temperature analysis module is also installed on the small corn drying device body. The corn drying temperature analysis module is used to evaluate the effect of the drying roller speed according to the position distribution and the hot air flow characteristics of the drying temperature data sequence to determine the optimal drying roller speed. Therefore, the corn drying temperature analysis module includes a data acquisition module, a calculation chip and a corn drying temperature control module. Among them, the data acquisition module is connected to the calculation chip. This calculation chip is used for data processing and machine control. The chip type is FPGA. It receives the information of the data acquisition module and sends control instructions to the corn drying temperature control module.

[0039] The following specifically describes the specific solution of a small corn drying device with an intelligent temperature control system provided by the present invention with reference to the drawings.

[0040] Please refer to Figure 1, which shows a schematic structural diagram of a small corn drying device with an intelligent temperature control system provided by an embodiment of the present invention. The small corn drying device includes a servo motor 1; a feeding motor 2; a feeding trough 3; a conveyor belt 4; a transmission shaft 5; a belt 6; a temperature sensor 7; a mesh grille 8; a drying roller 9; air holes 10; a blower 11; a discharge port 12; an air pipe 13; a drying chamber 14; a spiral fan surface 15; a diversion groove 16; a gas shunt pipe 17; a power supply 18. The feeding trough 3 and the conveyor belt 4 form a conveying mechanism for corn. Corn is poured into the feeding trough 3, and the feeding motor 2 generates a constant power to make the conveyor belt 4 send the corn into the drying chamber 14. The diversion groove 16 sends the upper-layer corn to the lower layer, and the corn is poured out through the discharge port 12. The top of the drying chamber 14 is openable. The shaft body of the drying roller 9 is of a hollow structure, so that the hot air generated by burning straw outside is introduced into the drying roller 9 through the air pipe 13 and enters the drying chamber 14 through the air holes 10. The corn enters the mesh grille 8 through the conveyor belt 4, the drying roller 9 rotates, and the spiral fan surface 15 drives the corn to tumble; the mesh grille 8 is set with a smaller diameter, which can ensure that the corn will not block the grid and ensure the flow of hot air in the cavity. The temperature sensor 7 is installed at fixed intervals on the inner top of the drying chamber 14.

[0041] The data acquisition module in this embodiment includes a temperature sensor 7; the temperature sensor is used for measuring the drying temperature data of the detection points at the top of the drying chamber, and can help determine the intelligent speed adjustment coefficient by measuring the drying temperature data of the detection points at the top of the drying chamber.

[0042] In this embodiment, the corn drying temperature control module includes a drying roller 10, which is used to receive the control instruction of the calculation chip and control the rotation speed of the drying roller. When the corn drying temperature control module receives the control instruction, it drives the drying roller 10 to rotate to the optimal speed.

[0043] The data acquisition module is connected to the signal input end of the calculation chip, the signal output end of the calculation chip is connected to the corn drying temperature control module, and the corn drying temperature control module is used to control the rotation speed of the drying roller; the data acquisition module is used to collect the drying temperature data sequence of different detection points at the top of the drying chamber and send it to the calculation chip.

[0044] In this embodiment, a time interval and a total acquisition duration can be preset. The drying temperature data sequences of the detection points at the top of different drying chambers. As a specific example, first start the blower and the drying roller. After adjusting the temperature of the drying chamber to the preset temperature range T, start preheating the drying chamber. Adjust the drying roller to the preset rotation speed T2. After preheating for the preset duration T1, pour the newly harvested corn into the feed trough; then start presetting a time every 2 seconds, collect the temperature data of each detection point at the top of the drying chamber as the drying temperature data, and collect for a total of 1 hour; obtain all the drying temperature data of each detection point at the top of the drying chamber; the sequence formed by all the drying temperature data of each detection point at the top of the drying chamber is used as the drying temperature data sequence of each detection point at the top of the drying chamber. In this embodiment, T = [100°C, 120°C], T1 = 10 min, and T2 = 10 r / min are used as examples for description, and this embodiment does not make specific limitations. Among them, T, T1, and T2 can be determined according to specific implementation situations.

[0045] Further, please refer to Figure 2 , which shows a schematic flowchart of the processing of the drying temperature data sequence by the calculation chip in a small corn drying device with an intelligent temperature control system provided by an embodiment of the present invention, including the following steps:

[0046] Step S001: In the drying temperature data sequence of any detection point at the top of the drying chamber, analyze the temperature drop situation between the hot air in the drying chamber and the top of the drying chamber, and use the proportional relationship between different local data extreme fluctuations in the drying temperature data sequence as the continuous stability of the drying environment at the detection point at the top of the drying chamber; analyze the extreme change magnitude of the temperature at the latest moment in the drying temperature data sequence, and combine the value after the continuous stability of the drying environment as the preheating completion degree in the drying chamber at the detection point at the top of the drying chamber.

[0047] It should be noted that since the start of the preheating of the drying chamber and the start of the operation of the blower, the flowing air generated by the blower will flow along the hollow drying roller and flow out through the air holes at various positions; however, due to the constant power of the blower, the flowing air generated will slow down the forward movement speed of the flowing air still in the drying roller as the flowing distance increases and the air holes diverge outward; at this time, under the operation of the blower, the temperature of the surrounding air rises. During the preheating process, based on the above logic, the initial speeds of the flowing air discharged from different air holes are different, and the time for the high-temperature heat wave generated by the air flow to reach the detection point at the top of the drying chamber is different. At this time, there will be a certain error in the temperature data monitored by different detection points at the top of the drying chamber.

[0048] It should be further noted that, affected by the rotation of the drying roller, the temperature data collected at all the detection points on the top of the drying chambers will fluctuate periodically. However, due to the different initial velocities of the heat waves formed by the hot air flow during the flow process and the same velocity attenuation coefficient of all the heat waves in the chamber, there are differences in the fluctuation periods of the temperature data collected at the detection points on the top of different drying chambers. Therefore, in the drying temperature data sequence of any detection point on the top of the drying chamber, the temperature difference between the hot air in the drying chamber and the top of the drying chamber can be analyzed, and the proportional relationship between the extreme fluctuations of different local data in the drying temperature data sequence can be used as the continuous stability of the drying environment at the detection point on the top of the drying chamber. Analyze the magnitude of the extreme change in temperature at the latest moment in the drying temperature data sequence, and combine the value after considering the continuous stability of the drying environment as the preheating completion degree in the chamber at the detection point on the top of the drying chamber. Please refer to Figure 3 , which shows a schematic diagram of the cross-sectional rotation of the drying roller.

[0049] Preferably, in some implementation manners of the embodiments of the present invention, the method for obtaining the continuous stability of the drying environment is as follows: According to the extreme value distribution relationship in the drying temperature data sequence of the detection point on the top of the drying chamber, obtain the continuous stability of the drying environment and the heat wave temperature fluctuation period at the detection point on the top of the drying chamber; use the proportional relationship between the chamber temperature stability and the heat wave temperature fluctuation period as the continuous stability of the drying environment at the detection point on the top of the drying chamber. The specific process is as follows:

[0050] It should be noted that during the preheating process, the temperature in the chamber gradually approaches the drying temperature suitable for corn, and the difference between the heat wave generated at this time and the chamber temperature at the position of the current detection point on the top of the drying chamber gradually decreases. For the temperature curve, the maximum value point is the temperature collected when the heat wave arrives, and the minimum value point is the chamber temperature at the position of the sensor.

[0051] Preferably, in some implementation manners of the embodiments of the present invention, the method for obtaining the heat wave temperature fluctuation period is as follows: Combine the average distribution interval between adjacent maximum values in the drying temperature data sequence as the heat wave temperature fluctuation period at the detection point on the top of the drying chamber. The specific process is as follows:

[0052] Taking the drying temperature data sequence of any detection point on the top of the drying chamber as an example, the number of data between any two adjacent maximum values in the drying temperature data sequence is used as the distribution interval between these two maximum values; obtain the distribution intervals between all the maximum values in the drying temperature data sequence; and use the average value of the distribution intervals between all the maximum values in the drying temperature data sequence as the heat wave temperature fluctuation period at the detection point on the top of the drying chamber.

[0053] Preferably, in some implementations of the embodiments of the present invention, the method for obtaining the cavity temperature stability is: in the drying temperature data sequence, the average temperature difference between different minimum values ​​within a preset minimum value number range is comprehensively considered to obtain the cavity temperature stability of the detection point at the top of the drying cavity.

[0054] A minimum value number R is preset, the last minimum value in the drying temperature data sequence is taken as the target real-time minimum value, and the data segment composed of the R minimum values ​​before the target real-time minimum value and the target real-time minimum value is taken as the cavity temperature data segment of the target real-time minimum value; in the cavity temperature data segment of the target real-time minimum value, the absolute value of the difference between any two adjacent minimum values ​​is taken as the temperature difference value between any two adjacent minimum values; the temperature difference value between all adjacent minimum values ​​in the cavity temperature data segment of the target real-time minimum value is obtained; the average value of the temperature difference value between all adjacent minimum values ​​is taken as the cavity temperature stability of the top detection point of the drying cavity. This embodiment is described by taking R=4 as an example, and this embodiment is not specifically limited, and R can be determined according to the specific implementation situation.

[0055] It should be noted that the cavity temperature data segment of the target real-time minimum value only contains the minimum value in the drying temperature data sequence; and if the number of minimum values ​​actually existing before the target real-time minimum value does not satisfy R, the cavity temperature data segment of the target real-time minimum value is obtained based on the number of minimum values ​​actually existing.

[0056] Furthermore, the ratio of the cavity temperature stability to the heat wave temperature fluctuation period is used as the continuous stability of the drying environment at the top detection point of the drying cavity.

[0057] It should be noted that if the drying environment is more continuously stable, the temperature change at the detection point on the top of the drying chamber will be less drastic, and the overall continuous effect will be longer lasting, which means that the location of the detection point on the top of the drying chamber can reach a temperature suitable for drying newly harvested corn.

[0058] Preferably, in some implementations of the embodiments of the present invention, the method for obtaining the completion degree of the cavity preheating is: according to the drying temperature data sequence, the heat wave cavity temperature similarity of the detection point at the top of the drying cavity is obtained; the product of the continuous stability of the drying environment and the heat wave cavity temperature similarity is used as the completion degree of the cavity preheating of the detection point at the top of the drying cavity. The specific process is as follows:

[0059] Preferably, in some implementations of the embodiments of the present invention, the method for obtaining the heat wave cavity temperature similarity is: obtaining the minimum value and maximum value under the latest conditions in the drying temperature data sequence, and taking the inverse proportional value of the temperature difference between the minimum value and the maximum value under the latest conditions as the heat wave cavity temperature similarity of the detection point at the top of the drying cavity. The specific process is as follows:

[0060] Take the last maximum value in the drying temperature data sequence as the target real-time maximum value; take the inverse proportional normalization value of the absolute value of the difference between the target real-time minimum value and the target real-time maximum value as the similarity degree of the heat wave chamber temperature at the detection point at the top of the drying chamber.

[0061] Specifically, the embodiment uses the exp(-x) model to present the inverse proportional relationship and normalization process, where x is the input of the model, and the implementer can select the inverse proportional function and normalization function according to the actual situation.

[0062] Furthermore, multiply the continuous stability of the drying environment at the detection point at the top of the drying chamber by the similarity degree of the heat wave chamber temperature as the completion degree of in-chamber preheating at the detection point at the top of the drying chamber. Obtain the completion degree of in-chamber preheating for each detection point at the top of the drying chamber.

[0063] It should be noted that the greater the completion degree of in-chamber preheating, the better the moisture drying effect when the corn stays in the area below the position of the detection point at the top of the drying chamber, indicating a better preheating effect in the drying chamber.

[0064] So far, the completion degree of in-chamber preheating for each detection point at the top of the drying chamber is obtained through the above method.

[0065] Step S002: Analyze the magnitude of the temperature change range in the drying temperature data sequence and use it as the suitability of corn drying at the detection point at the top of the drying chamber; according to the suitability of corn drying and the completion degree of in-chamber preheating, analyze the moisture evaporation efficiency of the corn at the detection point at the top of the drying chamber, and use the proportional relationship between the suitability of corn drying and the completion degree of in-chamber preheating as the corn regulation weight at the detection point at the top of the drying chamber; according to the distribution distance of different detection points at the top of the drying chamber in their respective drying chambers, use the value obtained by fitting and correcting the corn regulation weight as the true corn regulation weight at the detection point at the top of the drying chamber; according to the true corn regulation weight, comprehensively analyze the distances from different detection points at the top of the drying chamber to the end of the drying chamber to obtain the intelligent speed adjustment coefficient of the drying roller.

[0066] It should be noted that the degree of in - cavity pre - heating mainly describes the degree of pre - heating in the drying cavity, reflecting the evaporation efficiency of the moisture in the corn itself after being pre - heated in the drying cavity during the drying operation; before the corn is conveyed out of the drying cavity, it will continuously receive high - temperature drying in the drying cavity. When the corn enters the drying cavity from the feed trough for drying, along with the rotation of the drying roller with the spiral fan surface on its surface, the corn will be continuously pushed forward. When passing through the areas below the detection points at the top of different drying cavities, the local drying temperature may vary, but the overall moisture will continuously evaporate. Therefore, in order to ensure that the corn after leaving the drying cavity does not have the situation of over - drying or high moisture content, it is necessary to analyze the range of temperature changes in the drying temperature data sequence and use it as the corn drying suitability at the detection points at the top of the drying cavity; according to the corn drying suitability and the degree of in - cavity pre - heating completion, analyze the moisture evaporation efficiency of the corn at the detection points at the top of the drying cavity, and use the proportional relationship between the corn drying suitability and the degree of in - cavity pre - heating completion as the corn regulation weight at the detection points at the top of the drying cavity; according to the distribution distance of different detection points at the top of the drying cavity in their respective drying cavities, use the value of the corn regulation weight after fitting and correction as the true corn regulation weight at the detection points at the top of the drying cavity; according to the true corn regulation weight, comprehensively analyze the distances from different detection points at the top of the drying cavity to the end of the drying cavity to obtain the intelligent speed adjustment coefficient of the drying roller.

[0067] Preferably, in some implementation manners of the embodiments of the present invention, the method for obtaining the corn drying suitability is as follows: obtain the median value of the in - cavity temperature; use the mean value of the extreme values in the drying temperature data sequence of the detection points at the top of the drying cavity as the mean value of the overall in - cavity environmental temperature of the detection points at the top of the drying cavity; use the proportional relationship between the mean value of the overall in - cavity environmental temperature and the median value of the in - cavity temperature as the corn drying suitability at the detection points at the top of the drying cavity. The specific process is as follows:

[0068] Take the median value within the preset temperature range T as the median value of the in - cavity temperature of each detection point at the top of the drying cavity; take, for example, the drying temperature data sequence of any detection point at the top of the drying cavity, and use the mean value of all the extreme values in this drying temperature data sequence as the mean value of the overall in - cavity environmental temperature of this detection point at the top of the drying cavity; use the ratio between the mean value of the overall in - cavity environmental temperature and the median value of the in - cavity temperature as the corn drying suitability of this detection point at the top of the drying cavity.

[0069] Preferably, in some implementation manners of the embodiments of the present invention, the method for obtaining the corn regulation weight is as follows: use the ratio between the corn drying suitability and the degree of in - cavity pre - heating completion as the corn regulation weight at the detection points at the top of the drying cavity. The specific process is as follows:

[0070] Use the ratio between the corn drying suitability and the degree of in - cavity pre - heating completion as the corn regulation weight of this detection point at the top of the drying cavity. Obtain the corn regulation weights of each detection point at the top of the drying cavity.

[0071] Preferably, in some implementation manners of the embodiments of the present invention, the method for obtaining the true regulation weight of corn is as follows: taking the horizontal distribution line of the detection points at the top of different drying chambers in the drying chamber as the two-dimensional horizontal axis reference baseline; taking the horizontal line after proportionally shrinking the two-dimensional horizontal axis reference baseline as the two-dimensional horizontal axis, and taking the true regulation weight of corn as the two-dimensional vertical axis; constructing a two-dimensional space coordinate system according to the two-dimensional horizontal axis and the two-dimensional vertical axis, performing curve fitting on the true regulation weight of corn, and taking the numerical value after fitting the true regulation weight of corn as the true regulation weight of corn. The specific process is as follows:

[0072] Taking the position distribution line formed by all the detection points at the top of the drying chamber in the horizontal direction in the drying chamber as the two-dimensional horizontal axis reference baseline; presetting a scaling ratio G, and taking the position distribution line after shrinking the two-dimensional horizontal axis reference baseline according to G as the two-dimensional horizontal axis; taking each detection point at the top of the drying chamber on the two-dimensional horizontal axis as the abscissa, and taking the true regulation weight of corn of each detection point at the top of the drying chamber as the ordinate, constructing a two-dimensional space coordinate system of the drying chamber according to the abscissa and the ordinate, performing curve fitting on all the true regulation weights of corn to obtain a fitting curve; taking the numerical value of each true regulation weight of corn on the fitting curve as the true regulation weight of corn. Please refer to Figure 4 , which shows a schematic diagram of the two-dimensional space coordinate system of the drying chamber, Figure 4 in which the black dots represent the detection points at the top of the drying chamber, and the white dots represent the true regulation weights of corn corresponding to the detection points at the top of the drying chamber. In this embodiment, G = 1m:1cm is taken as an example for description, and this embodiment is not specifically limited, and G can be determined according to specific implementation situations; in addition, each detection point at the top of the drying chamber corresponds to a true regulation weight of corn.

[0073] Preferably, in some implementation manners of the embodiments of the present invention, the method for obtaining the intelligent rotation speed adjustment coefficient is as follows: taking the distance from the detection point at the top of the drying chamber to the end of the drying chamber as the extended distance of the chamber detection point of the detection point at the top of the drying chamber; taking the proportional relationship between the true regulation weight of corn and the extended distance of the chamber detection point as the corn transfer speed adjustment coefficient of the detection point at the top of the drying chamber; taking the cumulative result of the corn transfer speed adjustment coefficients of all the detection points at the top of the drying chamber as the intelligent rotation speed adjustment coefficient of the drying roller. The specific process is as follows:

[0074] Taking any detection point at the top of a drying chamber as an example, the distance from this detection point at the top of the drying chamber to the end of the drying chamber is used as the extended distance of the chamber detection point for this detection point at the top of the drying chamber; the normalized value of the ratio of the true regulation weight of the corn at this detection point at the top of the drying chamber to the extended distance of the chamber detection point is used as the corn transfer speed adjustment coefficient for this detection point at the top of the drying chamber; the corn transfer speed adjustment coefficients of each detection point at the top of the drying chamber are obtained; the cumulative value of the corn transfer speed adjustment coefficients of all detection points at the top of the drying chamber is used as the intelligent speed adjustment coefficient of the drying roller.

[0075] It should be specifically noted that in this embodiment, the norm() function is taken as an example for normalization processing. The normalization function can be determined according to specific implementation situations and will not be elaborated in this embodiment.

[0076] It should be noted that the larger the intelligent speed adjustment coefficient of the drying roller, the higher the moisture evaporation efficiency of the corn in the drying chamber, and the more likely it is that the corn after drying treatment will be charred, indicating that the drying roller needs to rotate faster to reduce the drying time of the corn and reduce the probability of the corn being charred after drying treatment.

[0077] Thus far, the intelligent speed adjustment coefficient of the drying roller is obtained through the above method.

[0078] Step S003: Output a control instruction according to the intelligent speed adjustment coefficient to control the rotation speed of the drying roller for intelligent temperature control.

[0079] In a specific implementation manner of the embodiment of the present invention, the specific process of intelligent temperature control is as follows: Multiply the intelligent speed adjustment coefficient of the drying roller by the preset speed T2, and take the rounded value of the multiplied value as the intelligent regulation speed of the drying roller.

[0080] Furthermore, take the intelligent regulation speed as the control instruction to drive the drying roller to rotate to a speed equal to the value of the intelligent regulation speed.

[0081] Thus far, this embodiment is completed.

[0082] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application, and should all be included within the protection scope of the present application.

Claims

1. A small corn drying equipment with an intelligent temperature control system, comprising a small corn drying equipment body, characterized in that: The small corn drying equipment body includes a corn drying temperature analysis module, which is installed on the small corn drying equipment body. The corn drying temperature analysis module includes a data acquisition module, a computing chip and a corn drying temperature control module; The data acquisition module is connected to the signal input end of the computing chip, and the signal output end of the computing chip is connected to the corn drying temperature control module, and the corn drying temperature control module is used to control the temperature and heat received by the corn in the small corn drying equipment; the data acquisition module is used to collect the drying temperature data sequence of the detection points on the top of different drying chambers, and transmit it to the computing chip; In the drying temperature data sequence of any detection point on the top of the drying chamber, the temperature difference between the hot air in the drying chamber and the top of the drying chamber is analyzed, and the proportional relationship between the extreme fluctuations of different local data in the drying temperature data sequence is used as the continuous stability of the drying environment at the detection point on the top of the drying chamber; Analyze the extreme temperature changes at the latest moment in the drying temperature data sequence, and combine the value after the continuous stability of the drying environment as the completion degree of the preheating in the drying chamber at the top detection point; Analyze the temperature variation range in the drying temperature data sequence and use it as the corn drying suitability of the top detection point of the drying chamber; According to the corn drying suitability and the preheating completion degree in the drying chamber, the evaporation efficiency of corn water in the drying chamber at the top detection point of the drying chamber is analyzed, and the proportional relationship between the corn drying suitability and the preheating completion degree in the drying chamber is used as the corn control weight of the top detection point of the drying chamber. According to the distribution distance of different drying chamber top detection points in the drying chamber, the corn control weight is fitted and corrected, and the value is used as the actual control weight of the corn at the drying chamber top detection point; According to the actual control weight of corn, the distance from the top detection point of different drying chambers to the end of the drying chamber is comprehensively analyzed to obtain the intelligent speed adjustment coefficient of the drying roller; The control command is output according to the intelligent speed adjustment coefficient to control the rotation speed of the drying roller and perform intelligent temperature control.

2. According to claim 1, a small corn drying equipment with an intelligent temperature control system is characterized in that: The method for obtaining the continuous stability of the drying environment is: According to the extreme value distribution relationship in the drying temperature data sequence of the detection point on the top of the drying chamber, the continuous stability of the drying environment and the heat wave temperature fluctuation period of the detection point on the top of the drying chamber are obtained; the proportional relationship between the cavity temperature stability and the heat wave temperature fluctuation period is used as the continuous stability of the drying environment at the detection point on the top of the drying chamber.

3. According to claim 2, a small corn drying equipment with an intelligent temperature control system is characterized in that: The method for obtaining the heat wave temperature fluctuation period is: The average distribution interval between adjacent maximum values ​​in the comprehensive drying temperature data sequence is taken as the heat wave temperature fluctuation period of the detection point on the top of the drying chamber.

4. According to claim 2, a small corn drying equipment with an intelligent temperature control system is characterized in that: The method for obtaining the cavity temperature stability is: In the drying temperature data sequence, the average temperature difference between different minimum values ​​within the preset minimum value range is comprehensively considered to obtain the cavity temperature stability of the detection point at the top of the drying cavity.

5. According to claim 1, a small corn drying equipment with an intelligent temperature control system is characterized in that: The method for obtaining the degree of completion of the intracavity preheating is: According to the drying temperature data sequence, the heat wave cavity temperature similarity of the detection point on the top of the drying cavity is obtained; the product of the continuous stability of the drying environment and the heat wave cavity temperature similarity is used as the cavity preheating completion degree of the detection point on the top of the drying cavity.

6. According to claim 5, a small corn drying device with an intelligent temperature control system is characterized in that: The method for obtaining the heat wave cavity temperature similarity is: The minimum and maximum values ​​of the drying temperature data sequence under the latest conditions are obtained, and the inverse proportional value of the temperature difference between the minimum and maximum values ​​under the latest conditions is used as the heat wave cavity temperature similarity of the detection point on the top of the drying cavity.

7. The small corn drying equipment with intelligent temperature control system according to claim 1, characterized in that: The method for obtaining the corn drying suitability is: Get the median temperature in the cavity; take the mean of the extreme values ​​in the drying temperature data sequence of the detection point on the top of the drying cavity as the mean of the overall ambient temperature in the cavity at the detection point on the top of the drying cavity; take the proportional relationship between the mean of the overall ambient temperature in the cavity and the median temperature in the cavity as the corn drying suitability at the detection point on the top of the drying cavity.

8. The small corn drying equipment with intelligent temperature control system according to claim 1, characterized in that: The method for obtaining the corn regulation weight is: The ratio between the suitability of corn drying and the completion of preheating in the drying chamber is used as the corn control weight of the detection point at the top of the drying chamber.

9. The small corn drying equipment with intelligent temperature control system according to claim 1, characterized in that: The method for obtaining the actual control weight of corn is: The horizontal distribution lines of different drying chamber top detection points in the drying chamber are used as the two-dimensional horizontal axis reference baseline; The horizontal line after the two-dimensional horizontal axis reference baseline is proportionally shrunk is used as the two-dimensional horizontal axis, and the real control weight of corn is used as the two-dimensional vertical coordinate; a two-dimensional space coordinate system is formed according to the two-dimensional horizontal axis and the two-dimensional vertical coordinate, and the real control weight of corn is curve fitted, and the value after the real control weight of corn is fitted is used as the real control weight of corn.

10. The small corn drying equipment with intelligent temperature control system according to claim 1, characterized in that: The method for obtaining the intelligent speed adjustment coefficient is: The distance from the top detection point of the drying chamber to the end of the drying chamber is used as the cavity detection point extension distance of the top detection point of the drying chamber; The proportional relationship between the actual control weight of corn and the extension distance of the cavity detection point is used as the corn conveying speed adjustment coefficient of the top detection point of the drying cavity; The accumulated result of the corn conveying speed adjustment coefficients of all the detection points on the top of the drying chamber is used as the intelligent speed adjustment coefficient of the drying roller.

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