Grain intelligent segmented cooling and inner loop flow uniform temperature control method

Abstract

This invention discloses a method for intelligent segmented cooling and internal circulation temperature equalization control of grain, belonging to the field of grain storage technology. The method includes: collecting basic temperature conditions after bulk grain is placed in a tall, flat warehouse; deploying a temperature sensor network in different areas; setting a global target temperature for the grain pile and constructing a cooling-internal circulation temperature equalization cyclic ventilation model; planning the number of cooling cycles within the warehouse based on the overall average temperature target, the average temperature of the grain upon entry, and the type of grain; statistically analyzing the grain pile parameters in different areas; based on the analysis results, setting the average temperature threshold and maximum temperature difference threshold for triggering the internal circulation temperature equalization program during the grain pile cooling and ventilation process, and setting a uniformity standard for stopping the internal circulation temperature equalization; and performing cyclic cooling until the overall average temperature target is reached. This invention, using the above method, improves the efficiency of temperature reduction after grain is placed in a tall, flat warehouse through segmented cooling and internal circulation temperature equalization control.

Description

Technical Field

[0001] This invention relates to the field of grain storage technology, and in particular to a method for intelligent segmented cooling and internal circulation temperature equalization control of grain. Background Technology

[0002] Food is the paramount necessity of the people, and grain is the most important element of food security. Given the continuous reduction of arable land resources and the limited potential for grain yield per unit area, the pressure to increase production is enormous. Faced with a tight balance between medium- and long-term grain supply and demand, effectively implementing post-harvest conservation and loss reduction measures is of great significance for increasing my country's effective grain supply and improving the level of macro-control over grain production.

[0003] Temperature is a crucial factor affecting the physiological activity and insect and mold growth of stored grains. Higher storage temperatures accelerate the respiration and metabolism of grain grains, decomposing organic matter and increasing dry matter loss. Furthermore, within a suitable temperature range, harmful organisms in the grain pile, including storage pests and microorganisms, continuously grow and reproduce, causing simultaneous losses in both quantity and quality during storage. Low-temperature grain storage, by continuously providing cooling to the grain pile and warehouse, meets the requirements for low / near-low temperature (15 / 20℃) storage. This ensures the safe passage of grain through the summer while preventing chemical oxidation during the storage period. It is currently recognized internationally as the most effective, green, and environmentally friendly grain storage technology.

[0004] Currently, mainstream storage warehouses, represented by tall, flat warehouses, have been equipped with grain coolers, internal circulation fans, and above-ground cages, enabling low-temperature / near-low-temperature storage with reduced losses during long-term storage. However, the initial stage of long-term static grain storage, particularly the grain receiving stage, typically occurs during the high-temperature periods of summer and autumn. This results in high grain pile temperatures and significant variations in grain condition, and the cooling process lacks refined operational techniques and control schemes. Existing cooling and temperature equalization solutions still rely on manual experience and traditional ventilation technology guidelines, which easily lead to excessive cooling consumption, excessively low grain temperatures at the lower temperature level while the top layer remains too hot, and poor cooling uniformity. These solutions cannot meet the national requirements for full-warehouse low-temperature / near-low-temperature storage in the short term, necessitating technological innovation to improve them. Current research on intelligent ventilation solutions largely focuses on the long-term static storage process of grain, neglecting rapid cooling and temperature equalization control after grain is received, particularly how to effectively and energy-efficiently achieve rapid and uniform temperature control of the grain pile. Summary of the Invention

[0005] The purpose of this invention is to provide a method for intelligent segmented cooling and internal circulation temperature equalization control of grain, so as to solve the problems in the background art.

[0006] To achieve the above objectives, the present invention provides a method for intelligent segmented cooling and internal circulation temperature equalization control of grain, comprising the following steps: S1. Collect basic temperature conditions after bulk grain is stored in tall, flat warehouses, including external environmental parameters, warehouse roof space environmental parameters, and grain pile condition parameters. S2. Based on the span of the tall, flat warehouse and the actual height of the grain loading line, a temperature sensor network is deployed in different areas. S3. Set the global target temperature of the grain pile, and construct a cooling-internal circulation temperature equalization ventilation model based on the global target temperature; S4. Based on the target average temperature of the entire warehouse, the average temperature of the grain entering the warehouse, and the type of grain, plan the number of cooling cycles in the warehouse. S5. Obtain grain pile parameters in different regions and perform statistical analysis on the grain pile parameters in different regions; S6. Based on the analysis results, set the average temperature threshold and maximum temperature difference threshold for triggering the internal circulation temperature equalization program during the grain pile cooling and ventilation process, and set the uniformity standard for stopping the internal circulation temperature equalization. S7. Perform cyclic cooling, with each cycle including a cooling phase and an internal circulation temperature equalization phase; S71. Cooling is achieved by using a forced ventilation mode and the control parameters are monitored in real time. When the set conditions for starting the internal circulation temperature equalization stage are met simultaneously, ventilation and cooling are stopped, and the internal circulation temperature equalization stage is entered. S72. Perform internal circulation temperature equalization and monitor control parameters in real time. When the internal circulation temperature equalization shutdown setting conditions are met simultaneously, stop the internal circulation temperature equalization. S73. Monitor the temperature in real time. After each stage of cooling is completed, recalculate the current average temperature of the entire warehouse and the temperature uniformity index of the current grain pile, and determine whether the target average temperature of the entire warehouse has been reached. If the target temperature has not been reached, repeat the cooling-internal circulation temperature uniformity cycle until the target average temperature of the entire warehouse is reached.

[0007] Preferably, the external environmental parameters in step S1 include ambient temperature, relative humidity, solar radiation intensity, wind speed, and daily sunshine duration; the environmental parameters of the warehouse roof space mainly include the temperature and relative humidity of the warehouse roof space; and the grain pile condition parameters include the temperature and moisture content of the grain pile at different locations.

[0008] Preferably, the temperature sensor network deployed in step S2 includes: dividing the grain pile into concentric matrix regions of center, middle, and edge, and horizontal layered regions of upper, middle, and lower in three-dimensional space, with the temperature sensor network covering all regions.

[0009] Preferably, the global target temperature in step S3 includes the target average temperature of the entire warehouse, the maximum allowable temperature difference of the grain pile, the maximum allowable temperature difference per unit depth of the grain layer, and the temperature variation coefficient of the planar grain layer.

[0010] Preferably, in step S4, for raw rice grains with an initial grain temperature higher than 30℃, the number of cooling cycles in the warehouse is required to be no less than 4 cooling gradient segments, or the temperature difference between adjacent gradient segments is ≤5℃.

[0011] Preferably, step S5 specifically includes: S51. Periodically collect temperature readings from the deployed temperature sensors to generate a raw temperature dataset. , This is represented by the temperature sensor number; according to the partitioning rules determined in step S2, each sensor is... Assigned to a specific logical temperature control zone This creates a list of region-sensor mappings. S52. Clean the data and remove outliers; S53, Calculate the temperature data of the temperature control zone, including Regional overall mean, regional temperature variance, regional temperature standard deviation, and regional temperature coefficient of variation; S54. Calculate the overall temperature parameters inside the warehouse, including the average temperature of the entire warehouse, the standard deviation of the temperature of the entire warehouse, and the maximum temperature difference at the point of the entire warehouse.

[0012] Preferably, step S53 specifically includes: For temperature control areas And for the entire portfolio, calculate the following core parameters separately: ; ; ; ; in, for After regional data cleaning Effective temperature data from each sensor. express Number of effective sensors in the area express The overall regional average value is used to reflect the overall temperature status of the entire region. Indicates the regional temperature variance. The standard deviation of regional temperature is used to measure the degree of temperature dispersion in a region. The smaller the value of either, the more uniform the temperature. This represents the coefficient of variation of regional temperature, used to compare the differences in the relative dispersion within regions with different average temperature levels.

[0013] Preferably, in step S54, when calculating the average temperature of the entire warehouse, a weighted average is performed based on the number of sensors set up in each zone and the corresponding amount of stored grain. The weight coefficients for the edge zone, the middle zone, and the center zone are 0.5, 0.3, and 0.2, respectively, and the weights of the upper, middle, and lower layers of each zone are the same.

[0014] Preferably, in step S6, the condition for starting the internal circulation temperature equalization is set to the dual threshold trigger logic "A and B", where condition A is that the average temperature of the entire grain pile in the stage has reached the target average temperature and its allowable deviation of 1℃, and condition B is that the maximum temperature difference of the entire pile is ≥5℃; the condition for stopping the internal circulation temperature equalization is set to the dual index logic "C and D", where condition C requires the maximum temperature difference of the entire pile to be less than 5℃, and condition D requires the temperature standard deviation of the entire pile to be <1℃.

[0015] Therefore, the present invention employs the above-mentioned intelligent segmented cooling and internal circulation temperature control method for grain, which has the following beneficial effects: (1) The present invention improves the efficiency of temperature reduction after grain is put into storage by using the segmented cooling and internal circulation temperature control method of grain in tall flat warehouses, replacing the original manual operation and judgment of grain cooling and ventilation, and eliminating phenomena such as excessive ventilation and moisture loss. (2) The ventilation mode of “segmented cooling-internal circulation temperature equalization” in this invention adopts a multi-parameter judgment mode such as zoning analysis, and the prediction results are accurate. It combines the specific variables of the grain pile and the system energy consumption in real time to complete the energy-saving improvement of the rapid ventilation and cooling process after the grain is put into storage, and provides an effective new energy-saving means for intelligent ventilation of grain.

[0016] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0017] Figure 1 This is a flowchart of a method according to an embodiment of the present invention; Figure 2 This is a schematic diagram illustrating the zoning and management of tall, flat-roofed warehouses according to an embodiment of the present invention. Figure 3 This is a diagram showing the ventilation duct layout of a tall, flat warehouse according to an embodiment of the present invention; Figure 4 This is a schematic diagram of the temperature measuring cable arrangement according to an embodiment of the present invention; Figure 5 This embodiment of the invention compares the average temperature of the grain piles in the test chamber and the control chamber. Figure 6 This is a comparison chart of the coefficient of variation of the whole grain pile temperature in the test chamber and the control chamber in this embodiment of the invention; Figure Labels 1. Cooling device connection inlet; 2. Ventilation duct; 3. Ground cage air duct; 4. Circular bottom air duct; 5. Near-wall air duct; 6. Temperature measuring cable. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, 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. The components of the embodiments of the present invention described and shown in the accompanying drawings can be arranged and designed in various different configurations, and therefore should not be construed as limiting the present invention.

[0019] Example like Figure 1 As shown, this invention provides a method for intelligent segmented cooling and internal circulation temperature control of grain, including the following steps: S1. Collecting Basic Temperature Conditions After Grain Storage: After the grain is stored, collect environmental parameters from the outside of the storage area, the roof space, and the grain pile. The external environmental parameters include ambient temperature, relative humidity, solar radiation intensity, wind speed, and daily sunshine duration. The roof space environmental parameters mainly include the roof temperature and relative humidity. The grain pile condition parameters include the temperature and moisture content of the grain pile at different locations. These parameters must be collected within 24 hours after the grain storage operation is completed and defined as the basic storage condition dataset.

[0020] S2. Division of internal cooling and temperature control zones in grain piles: Based on the span of the tall, flat-roofed warehouse and the actual height of the grain loading line, a network of temperature sensors is deployed in different zones. For example... Figure 2 As shown, the grain silos are divided into zones for spatial management, clearly defining the grain piles in three-dimensional space as a concentric matrix region of "center-middle-edge" and a horizontally layered region of "upper-middle-lower," requiring the temperature sensor network to cover all areas. For example... Figure 3 As shown, the tall, flat-roofed grain warehouse is 30m long, 24m wide, and the grain pile is 7m high. Four cooling device connection inlets 1 are located around the bottom perimeter of the warehouse. Each cooling device connection inlet 1 has a ventilation pipe 2 connected to the end furthest from the cooling device. Each ventilation pipe 2 is connected to both a cooling ventilation duct and a temperature equalization ventilation duct. Solenoid valves are installed on the ventilation pipes 2 for switching between the cooling and temperature equalization ventilation ducts. Specifically, the cooling devices are fans or grain coolers. The cooling ventilation ducts include ground-level cage-like air ducts 3 located at the bottom of the warehouse interior. The temperature equalization ventilation ducts include a ring-shaped bottom air duct 4 located around the perimeter of the warehouse interior and near-wall air ducts 5 located on the walls of the warehouse interior. The near-wall air ducts 5 are connected to the ring-shaped bottom air ducts 4. This invention, through the design of a "one machine, four channels" plus a "ring-wall air duct" configuration, establishes a segmented cooling air network mode for the tall, flat-roofed grain warehouse, thereby cooling the grain warehouse. Figure 4As shown, temperature measuring cables are laid at equal intervals in the grain pile. The temperature measuring cables are required to be inserted vertically into the grain pile from above the grain surface, with a vertical tilt angle not exceeding 15°, to ensure that the temperature measurement reflects the temperature distribution at different grain layer depths.

[0021] S3. Based on specific actual needs, set a global target temperature for the grain pile. Construct a segmented cooling-internal circulation temperature equalization cyclic ventilation model based on this global target temperature. The corresponding dynamic adjustment logic adopts multi-threshold logic. Specifically, if conditions A, B, C, and D are met, the global target temperature requirement is achieved, and all processes end. Considering the environmental requirements of the fifth ecological grain storage area in the middle and lower reaches of the Yangtze River, the global target temperature can be set as follows: average temperature target for the entire storage ≤ 15℃, maximum allowable temperature difference in the grain pile ≤ 3℃, maximum allowable temperature difference per unit grain layer depth ≤ 1℃ / m, and temperature variation coefficient of the planar grain layer ≤ 0.5.

[0022] S4. Set Circulation Control Requirements: Based on the target average temperature of the entire warehouse, the average temperature of the grain entering the warehouse, and the type of grain, plan the number of cooling cycles within the warehouse. Taking rice entering the warehouse as a typical case, for rice grains with an initial average temperature higher than 30℃, the required number of segmented cooling gradients should not be less than 4, or the temperature difference between adjacent gradients should be ≤5℃, to prevent excessive temperature differences from causing condensation during cooling and internal circulation.

[0023] S5. Obtain grain pile parameters for different regions and perform statistical analysis on these parameters. Specifically: S51. Collect temperature readings from deployed temperature sensors every 4 hours to generate a raw temperature dataset. , This is represented by the temperature sensor number; according to the partitioning rules determined in step S2, each sensor is... Assigned to a specific logical temperature control zone This forms a region-sensor mapping list; where It includes 1. Central upper layer, 2. Central middle layer, 3. Central lower layer; 4. Middle upper layer, 5. Middle middle layer, 6. Middle lower layer; 7. Edge upper layer, 8. Edge middle layer and 9. Edge lower layer.

[0024] S52. Clean the data and remove outliers. To ensure the reliability of the statistical temperature data, it is necessary to clean the data and remove outliers before analysis and calculation. Specifically, data readings exceeding the physical temperature range of -10℃ to 50℃ for grains should be directly removed. For regional anomaly detection, statistical sensor data should be analyzed. Partition Average the degree readings of all sensors within the sensor array, and calculate the sensor readings. and Average temperature deviation, setting Values ​​above 5℃ are considered outliers and should be removed immediately. Values ​​>3℃ and ≤5℃ are considered suspicious. Data collected again after a 4-hour interval is considered normal if a significant decrease is observed. For time continuity assessment, the sensor is checked. If the current temperature reading shows a sudden, abrupt change exceeding 5°C / h (which does not conform to the basic thermal conductivity characteristics of grain) compared to the temperature data collected before and after, and is significantly inconsistent with the trend of values ​​from adjacent spatial sensors, it is considered abnormal data and is removed. Finally, after removing the abnormal data, the region where the point is located is statistically analyzed. The weighted average of the readings from other sensors was used as a substitute for this calculation until the sensor data returned to normal.

[0025] S53, Calculate the temperature data of the temperature control zone, including The overall average temperature of the region, the regional temperature variance, the regional temperature standard deviation, and the regional temperature coefficient of variation. (For temperature-controlled areas) And for the entire portfolio, calculate the following core parameters separately: ; ; ; ; in, for After regional data cleaning Effective temperature data from each sensor. express Number of effective sensors in the area express The overall regional average value is used to reflect the overall temperature status of the entire region. Indicates the regional temperature variance. The standard deviation of regional temperature is used to measure the degree of temperature dispersion in a region. The smaller the value of either, the more uniform the temperature. This represents the coefficient of variation of regional temperature, used to compare the differences in the relative dispersion within regions with different average temperature levels.

[0026] S54. Calculate the overall temperature parameters inside the warehouse. Based on all zone parameters, calculate the overall parameters used for global control, including the average temperature of the entire warehouse, the standard deviation of the temperature of the entire warehouse, and the maximum temperature difference at the point of the entire warehouse.

[0027] Specifically, the calculation method for the overall average temperature of the warehouse includes: a weighted average based on the number of sensors installed in each zone and the corresponding amount of stored grain. The weighting coefficients for the edge zone, middle zone, and center zone are 0.5, 0.3, and 0.2, respectively, with equal weighting for the upper, middle, and lower layers within each zone. The formula is: ; In the formula, This indicates the average temperature of the entire warehouse. These are the weighting coefficients.

[0028] The formula for calculating the standard deviation of temperature in the entire warehouse is: ; In the formula, The standard deviation of the temperature across the entire warehouse.

[0029] The formula for calculating the maximum temperature difference at all points in the warehouse is: ; In the formula, This represents the maximum temperature difference across the entire warehouse.

[0030] S55. The calculated parameters of each partition and the overall parameters of the entire warehouse are regarded as valid data and updated to the system's real-time database for subsequent calculations.

[0031] S6. Based on the analysis results, set the average temperature threshold and maximum temperature difference threshold for triggering the internal circulation temperature equalization program during the grain pile cooling and ventilation process, and set the uniformity standard for stopping the internal circulation temperature equalization. Specifically, the conditions for starting the internal circulation temperature equalization are set as a dual-threshold trigger logic "A and B", where condition A is that the average temperature of the entire grain pile in a given stage has reached the target average temperature and its allowable deviation of 1℃, and condition B is that the maximum temperature difference at any point in the entire pile is ≥5℃. The conditions for stopping the internal circulation temperature equalization are set as a dual-index logic "C and D", where condition C requires the maximum temperature difference at any point in the entire pile to be less than 5℃, and condition D requires the standard deviation of the temperature in the entire pile to be <1℃.

[0032] S7. Perform cyclic cooling, with each cycle including a cooling phase and an internal circulation temperature equalization phase; S71. Cooling is achieved by using a forced ventilation mode. The connection of a grain cooler is determined based on the actual working environment. Control parameters are monitored in real time. When the set conditions for starting the internal circulation temperature equalization stage are met simultaneously, ventilation and cooling are stopped, and the internal circulation temperature equalization stage is entered.

[0033] S72. Turn off the refrigeration mode of the grain cooler, keep the low-power fan of the grain cooler running, use the near-wall air duct and the ring bottom air duct to realize the internal air circulation of the grain pile, and monitor the control parameters in real time. When the internal circulation temperature equalization shutdown setting conditions are met at the same time, stop the internal circulation temperature equalization.

[0034] S73. Monitor the temperature in real time. After each stage of cooling is completed, recalculate the current average temperature of the entire warehouse and the temperature uniformity index of the current grain pile, and determine whether the target average temperature of the entire warehouse has been reached. If the target temperature has not been reached, repeat the cooling-internal circulation temperature uniformity cycle until the target average temperature of the entire warehouse is reached.

[0035] To verify the accuracy of the method proposed in this invention, a real-world verification test was conducted using warehouse No. 13, a tall, flat-roofed grain reserve in Nanjing. The warehouse has a floor plan span of 30m east-west and 24m north-south, with 60cm thick brick-concrete walls. The grain stacking line was designed to be 7m, but the actual stacking height was 6.5m. The grain pile was constructed according to the schematic diagram. Figure 4 Temperature sensors were deployed, totaling 42 temperature measuring cables and 210 temperature measuring points. From May to July 2025, a 42-day temperature control system was completed for grain storage, including cooling and temperature uniformity control. Results... Figure 5 and Figure 6 As shown, the segmented cooling and internal circulation temperature control method for grain entering the warehouse according to the present invention has better temperature uniformity and lower cooling energy consumption compared with the control warehouse's target cooling method.

[0036] Therefore, the present invention adopts the above-mentioned intelligent segmented cooling and internal circulation temperature control method for grain. By using the segmented cooling and internal circulation temperature control method for grain in tall flat warehouses, the efficiency of temperature reduction after grain enters the warehouse is improved, replacing the original manual operation and judgment of grain cooling and ventilation, and eliminating phenomena such as excessive ventilation and moisture loss.

[0037] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the technical solutions of the present invention, and these modifications or equivalent substitutions cannot cause the modified technical solutions to deviate from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for intelligent segmented cooling and internal circulation temperature control of grain, characterized in that, Including the following steps: S1. Collect basic temperature conditions after bulk grain is stored in tall, flat warehouses, including external environmental parameters, warehouse roof space environmental parameters, and grain pile condition parameters. S2. Based on the span of the tall, flat warehouse and the actual height of the grain loading line, a temperature sensor network is deployed in different areas. S3. Set the global target temperature of the grain pile, and construct a cooling-internal circulation temperature equalization ventilation model based on the global target temperature; S4. Based on the target average temperature of the entire warehouse, the average temperature of the grain entering the warehouse, and the type of grain, plan the number of cooling cycles in the warehouse. S5. Obtain grain pile parameters in different regions and perform statistical analysis on the grain pile parameters in different regions; S6. Based on the analysis results, set the average temperature threshold and maximum temperature difference threshold for triggering the internal circulation temperature equalization program during the grain pile cooling and ventilation process, and set the uniformity standard for stopping the internal circulation temperature equalization. S7. Perform cyclic cooling, with each cycle including a cooling phase and an internal circulation temperature equalization phase; S71. Cooling is achieved by using a forced ventilation mode and the control parameters are monitored in real time. When the set conditions for starting the internal circulation temperature equalization stage are met simultaneously, ventilation and cooling are stopped, and the internal circulation temperature equalization stage is entered. S72. Perform internal circulation temperature equalization and monitor control parameters in real time. When the internal circulation temperature equalization shutdown setting conditions are met simultaneously, stop the internal circulation temperature equalization. S73. Monitor the temperature in real time. After each stage of cooling is completed, recalculate the current average temperature of the entire warehouse and the temperature uniformity index of the current grain pile, and determine whether the target average temperature of the entire warehouse has been reached. If the target temperature has not been reached, repeat the cooling-internal circulation temperature uniformity cycle until the target average temperature of the entire warehouse is reached.

2. The method for intelligent segmented cooling and internal circulation temperature control of grain according to claim 1, characterized in that: In step S1, the external environmental parameters include ambient temperature, relative humidity, solar radiation intensity, wind speed, and daily sunshine duration; the environmental parameters of the warehouse roof space mainly include the temperature and relative humidity of the warehouse roof space; and the grain pile condition parameters include the temperature and moisture content of the grain pile at different locations.

3. The method for intelligent segmented cooling and internal circulation temperature control of grain according to claim 1, characterized in that: Step S2 involves deploying a temperature sensor network in different regions: dividing the grain pile into concentric matrix regions (center, middle, and edge) and horizontal layered regions (upper, middle, and lower) in three-dimensional space, with the temperature sensor network covering all regions.

4. The method for intelligent segmented cooling and internal circulation temperature equalization control of grain according to claim 1, characterized in that: In step S3, the global target temperature includes the target average temperature of the entire warehouse, the maximum allowable temperature difference of the grain pile, the maximum allowable temperature difference per unit depth of the grain layer, and the temperature variation coefficient of the planar grain layer.

5. The method for intelligent segmented cooling and internal circulation temperature control of grain according to claim 1, characterized in that, In step S4, for raw rice grains with an initial temperature higher than 30℃, the number of cooling cycles in the warehouse is required to be no less than 4 cooling gradient segments, or the temperature difference between adjacent gradient segments is ≤5℃.

6. The method for intelligent segmented cooling and internal circulation temperature control of grain according to claim 3, characterized in that, Step S5 specifically includes: S51. Periodically collect temperature readings from the deployed temperature sensors to generate a raw temperature dataset. , This is represented by the temperature sensor number; according to the partitioning rules determined in step S2, each sensor is... Assigned to a specific logical temperature control zone This creates a list of region-sensor mappings. S52. Clean the data and remove outliers; S53, Calculate the temperature data of the temperature control zone, including Regional overall mean, regional temperature variance, regional temperature standard deviation, and regional temperature coefficient of variation; S54. Calculate the overall temperature parameters inside the warehouse, including the average temperature of the entire warehouse, the standard deviation of the temperature of the entire warehouse, and the maximum temperature difference at the point of the entire warehouse.

7. The method for intelligent segmented cooling and internal circulation temperature control of grain according to claim 6, characterized in that, Step S53 specifically includes: For temperature control areas And for the entire portfolio, calculate the following core parameters separately: ； ； ； ； in, for After regional data cleaning Effective temperature data from each sensor. express Number of effective sensors in the area express The overall regional average value is used to reflect the overall temperature status of the entire region. Indicates the regional temperature variance. The standard deviation of regional temperature is used to measure the degree of temperature dispersion in a region. The smaller the value of either, the more uniform the temperature. This represents the coefficient of variation of regional temperature, used to compare the differences in the relative dispersion within regions with different average temperature levels.

8. The method for intelligent segmented cooling and internal circulation temperature equalization control of grain according to claim 7, characterized in that: In step S54, when calculating the average temperature of the entire warehouse, a weighted average is calculated based on the number of sensors set up in each zone and the corresponding amount of stored grain. The weight coefficients for the edge zone, middle zone, and center zone are 0.5, 0.3, and 0.2, respectively, and the weights for the upper, middle, and lower layers of each zone are the same.

9. The method for intelligent segmented cooling and internal circulation temperature equalization control of grain according to claim 8, characterized in that: In step S6, the conditions for starting the internal circulation temperature equalization are set to dual threshold trigger logic A and B. Condition A is that the average temperature of the entire grain pile in the stage has reached the target average temperature and its allowable deviation of 1℃, and condition B is that the maximum temperature difference of the entire pile is ≥5℃. The internal circulation temperature equalization is stopped using dual index logic C and D. Condition C requires that the maximum temperature difference of the entire pile is less than 5℃, and condition D requires that the standard deviation of the temperature of the entire pile is <1℃.

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