Intelligent management monitoring system for cold chain storage and transportation of agricultural products

Abstract

The invention relates to the technical field of agricultural product cold-chain logistics, in particular to an intelligent management monitoring system for agricultural product cold-chain storage and transportation, and the system comprises a temperature information collection module which comprises a plurality of temperature monitoring devices disposed inside and outside a target warehouse. The temperature monitoring equipment is used for monitoring first temperature information in a target warehouse and second temperature information outside the target warehouse in real time and sending the first temperature information and the second temperature information to the central processing unit; when the output power of the air coolers of the agricultural product cold chain warehouse is controlled, the actual temperature of each position is firstly calculated, then the temperature difference between each intersection point and the ideal state is calculated, and the output power of each air cooler is determined according to the temperature difference. Regional temperature control can be carried out so as to meet the temperature requirement difference of different positions in the agricultural product cold chain warehouse, and when the warehouse door is opened, quick response can be carried out so as to avoid the situation that the storage and fresh-keeping duration of agricultural products is influenced by the sharp change of the internal temperature.

Description

Technical Field

[0001] The present invention relates to the technical field of cold chain logistics of agricultural products, and in particular to an intelligent management and monitoring system for cold chain storage and transportation of agricultural products. Background Art

[0002] Agricultural product cold chain warehouses typically store a variety of perishable agricultural products to extend their shelf life. In practice, a single cold chain warehouse can hold a large volume of perishable produce, and for transportation purposes, the warehouse doors may be frequently opened, causing the internal temperature to be unable to effectively maintain the set temperature, significantly shortening the shelf life of perishable agricultural products. Furthermore, during long-distance transportation, warehouse openings for inspections, including necessary customs inspections, can cause temperature fluctuations within the warehouse. Summary of the Invention

[0003] In view of the shortcomings of the existing technology, the present invention provides an intelligent management and monitoring system for cold chain storage and transportation of agricultural products, which solves the technical problems in the above-mentioned background technology.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] An intelligent management and monitoring system for cold chain storage and transportation of agricultural products, comprising:

[0006] a temperature information collection module, the temperature information collection module including a plurality of temperature monitoring devices disposed inside and outside the target warehouse, the temperature monitoring devices being configured to monitor first temperature information inside the target warehouse and second temperature information outside the target warehouse in real time, and transmit the information to a central processing unit;

[0007] a warehouse door monitoring module, the warehouse door monitoring module responding to a door control signal of a target warehouse door driving device and sending the door control signal to a central processing unit;

[0008] a central processing unit, the central processing unit being configured to calculate third temperature information of each location in the warehouse based on the first temperature information, the second temperature information, and the gate control signal, and transmit the third temperature information to the temperature control module;

[0009] A temperature control module is connected to the central processing unit, and controls the output power of each air cooler according to the third temperature information.

[0010] Furthermore, the temperature monitoring devices installed in the target warehouse are evenly distributed.

[0011] Furthermore, the calculation method of the third temperature information specifically includes:

[0012] S11. Construct a plane coordinate system with the center point of the target warehouse as the origin 0 and the east-west direction and the north-south direction as the x-axis and y-axis respectively;

[0013] S12. Construct a plurality of first test lines and a plurality of second test lines along the x-axis and y-axis directions of the plane coordinate system, respectively. The distance between each two adjacent first test lines is d, and the distance between each two adjacent second test lines is also d. Define the position of each temperature monitoring device in the plane coordinate system as a first intersection point.

[0014] S13, defining the outlet position of each air cooler in the target warehouse as a second intersection point, and defining the positions other than the first intersection point and the second intersection point as a third intersection point;

[0015] S14, calculating third temperature information of each intersection point according to the first intersection point and the second intersection point and each corresponding first temperature information and the output temperature of the air cooler;

[0016] S15: Transmit the third temperature information to the temperature control module.

[0017] Furthermore, in step S14, the following steps are specifically included:

[0018] S141. Calculate a first influence weight w of each first intersection point on the third intersection point based on the distance. ij ;

[0019] S142: According to the first influence weight w ij Calculate the initial estimated temperature T for each third intersection 0，j ;

[0020] S143. Calculate the second influence weight w of each second intersection point on the third intersection point based on the distance. cj ;

[0021] S144: According to the second influence weight w cj Calculate the cooling fan impact value ΔT c，j ;

[0022] S145. Determine whether the door of the target warehouse is open;

[0023] If yes, proceed to step S146;

[0024] If not, then go to step S147 and set the outdoor influence value ΔT of each intersection point i Defined as 0;

[0025] S146. Obtain the gate area, external wind speed, and external wind direction of the target warehouse, and calculate the outdoor impact value ΔT of each intersection based on the gate area, external wind speed, external wind direction, the second temperature information, and the third temperature information of each location. i ;

[0026] S147: Correct the initial estimated temperature according to the cold wind impact value and the outdoor impact value to generate third temperature information.

[0027] Furthermore, in step S142, the calculation formula of the initial estimated temperature T0 is:

[0028]

[0029] Where, T 0，j represents the preliminary estimated temperature of the jth third intersection under the influence of each first intersection; n represents the total number of first intersections; T i Indicates the first temperature information of the i-th first intersection.

[0030] Furthermore, in step S146, the outdoor influence value ΔT of each intersection point is i The calculation formula is:

[0031]

[0032] Where, ΔT i represents the outdoor impact value of the i-th intersection; k represents the comprehensive impact coefficient; v represents the external wind speed; θ represents the external wind direction; θ door Indicates the door direction of the target cold storage; A door Indicates the gate area; d point (x i ,y i ) represents the shortest distance from the i-th intersection to the cold storage door; T external Indicates the second temperature information; T internal，i (x i ,y i ) represents the third temperature information of the i-th intersection.

[0033] Furthermore, the specific steps of controlling the output power of the air cooler are as follows:

[0034] S21. Divide the plane coordinate system into several sub-areas according to the shelf location of each item in the target warehouse, and mark the appropriate temperature value of each sub-area;

[0035] S22 constructs a temperature distribution map in a plane coordinate system according to the third temperature information of each intersection, and determines whether each sub-area is at an appropriate temperature value based on the temperature distribution map;

[0036] If so, then end;

[0037] If not, proceed to step S23;

[0038] S23, constructing the influence area of each second intersection in the temperature distribution map, and calculating the temperature ΔT that needs to be adjusted in the influence areaavg，r ;

[0039] S24. Calculate the required fan output power P based on the temperature to be adjusted output，r ;

[0040] S25, converting the required fan output power into an electrical signal and transmitting the signal to the cooling fan.

[0041] Furthermore, in step S23, the following steps are specifically included:

[0042] S231, calculating the temperature difference between each intersection point in each image region and the appropriate temperature value of the corresponding sub-region;

[0043] S232: Calculate the temperature ΔT required to be adjusted for each image area avg，r , and its calculation formula is:

[0044]

[0045] Where, ΔT avg，r Indicates the temperature that needs to be adjusted in the rth affected area; N r represents the total number of intersections in the rth impact area; ΔT u，r The temperature difference between the third temperature information of the u-th intersection of the r-th impact area and the corresponding appropriate temperature value.

[0046] Furthermore, in step S24, the fan output power P output，r The calculation formula is:

[0047] P output，r =ΔT avg，r ×K adjust ×η×P max / (T external -ΔT avg，r )

[0048] Where, P output，r Indicates the required wind turbine output power corresponding to the rth impact area; K adjust and η represent the comprehensive adjustment coefficient and the efficiency coefficient of the air cooler respectively; P max Indicates the maximum output power of the air cooler.

[0049] Compared with the existing technology, the present invention provides an intelligent management and monitoring system for cold chain storage and transportation of agricultural products, which has the following beneficial effects:

[0050] When the present invention controls the output power of the air cooler in the agricultural products cold chain warehouse, the actual temperature of each position is first calculated, and then the temperature difference between each intersection and the ideal state is calculated, and the output power of each air cooler is determined based on it. Compared with other temperature management methods of agricultural products cold chain warehouses, regional temperature control can be performed to meet the temperature demand differences at different positions in the agricultural products cold chain warehouse, and when the external environment changes such as when the warehouse door is opened, the air cooler power can be quickly responded to, that is, adjusted to avoid sudden changes in internal temperature affecting the storage and preservation time of agricultural products. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0052] Figure 1 This is a schematic block diagram of an intelligent management and monitoring system for cold chain storage and transportation of agricultural products according to the present invention;

[0053] Figure 2 is a schematic diagram of the plane coordinate system of the present invention;

[0054] Figure 3 A schematic diagram of dividing a plane coordinate system into several sub-areas according to the present invention;

[0055] Figure 4 is a schematic diagram of a temperature distribution diagram of the present invention;

[0056] Figure 5 Schematic diagram of the influence area of each air cooler of the present invention. DETAILED DESCRIPTION

[0057] To make the above-mentioned objectives, features, and advantages of the present invention more clearly understood, the present invention is further described below in detail with reference to the accompanying drawings and specific embodiments. This will enable a full understanding of how this application uses technical means to solve technical problems and achieve technical effects, and to implement the invention accordingly.

[0058] Those skilled in the art will appreciate that all or part of the steps in the following embodiments can be accomplished by instructing related hardware through a program. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0059] Cold chain warehousing and transportation of agricultural products is a key supply chain system that uses low-temperature control technology to ensure that perishable agricultural products (including fruits and vegetables, meat, aquatic products and dairy products) are kept in a suitable temperature environment throughout the entire process from production, warehousing, transportation to sales. Its core goal is to inhibit the reproduction of microorganisms, delay spoilage, maintain quality, and reduce losses.

[0060] In order to meet the storage needs of perishable agricultural products with large temperature differences, multiple areas are generally set up for separate storage. However, it is impossible for each area of the agricultural product cold chain warehouse to store only one type of perishable agricultural product. In some areas, multiple types of perishable agricultural products are stored at the same time, and the temperature requirements of these perishable agricultural products are slightly different, so the temperature of each area needs to be regulated separately. In addition, when the warehouse door of the agricultural product cold chain warehouse is opened to store or remove perishable agricultural products, the air inside and outside the warehouse circulates, which will cause the temperature inside the warehouse to change, thereby affecting the temperature inside the warehouse. For this reason, Figure 1 As shown, the present invention proposes an intelligent management and monitoring system for cold chain storage and transportation of agricultural products, comprising:

[0061] The temperature information acquisition module includes several temperature monitoring devices installed inside and outside the target warehouse. The temperature monitoring devices are used to monitor the first temperature information inside the target warehouse and the second temperature information outside the target warehouse in real time, and send the information to the central processor. Specifically, the temperature monitoring devices are used to monitor the temperature inside and outside the agricultural product cold chain warehouse in real time. PT100 platinum resistance temperature sensors are generally used in agricultural product cold chain warehouses.

[0062] It should be noted that multiple temperature monitoring devices will be installed in the agricultural products cold chain cold storage, generally 3-5 temperature monitoring devices will be installed per 100 square meters, so as to accurately control the temperature of each location in the agricultural products cold chain cold storage. In the temperature information acquisition module of the present invention, the temperature monitoring devices installed in the target warehouse are evenly distributed.

[0063] The warehouse door monitoring module responds to the door control signal of the target warehouse door driving device and sends the door control signal to the central processing unit.

[0064] The central processing unit is used to calculate the third temperature information of each location in the warehouse based on the first temperature information, the second temperature information and the gate control signal, and transmit the third temperature information to the temperature control module. Specifically, even if 3-5 temperature detection devices are set per square meter, the monitoring area that can be covered by each temperature detection device is limited, and it is not possible to accurately monitor the temperature of each location in the agricultural product cold chain warehouse, thereby affecting the accuracy of temperature adjustment at each location in the agricultural product cold chain warehouse. Therefore, the calculation method of the third temperature information specifically includes:

[0065] S11. Construct a plane coordinate system with the center point of the target warehouse as the origin 0 and the east-west direction and the north-south direction as the x-axis and y-axis respectively;

[0066] S12. Construct a number of first test lines and second test lines along the x-axis and y-axis directions of the plane coordinate system, respectively. The distance between every two adjacent first test lines is d, and the distance between every two adjacent second test lines is also d. Define the position of each temperature monitoring device in the plane coordinate system as the first intersection point, such as Figure 2 As shown; in the present invention, d is a custom parameter, which can be set according to the actual situation of the agricultural product cold chain warehouse;

[0067] S13, defining the outlet position of each air cooler in the target warehouse as a second intersection point, and defining the positions other than the first intersection point and the second intersection point as a third intersection point;

[0068] S14, calculating the third temperature information of each intersection according to the first intersection and the second intersection and each corresponding first temperature information and the output temperature of the air cooler; specifically, in step S14, the following steps are specifically included:

[0069] S141. Calculate a first influence weight of each first intersection point on the third intersection point based on the distance. Specifically, the calculation formula for the first influence weight is:

[0070]

[0071] Where w ij represents the first influence weight of the i-th first intersection point on the j-th third intersection point; d ij represents the distance from the i-th first intersection point to the j-th third intersection point, d i The calculation formula is as follows:

[0072]

[0073] Among them, (x i ,y i ) and (x j ,y j ) represent the coordinate positions of the i-th first intersection point and the j-th third intersection point in the plane coordinate system respectively;

[0074] S142. Calculate the initial estimated temperature of each third intersection point according to the first influence weight. Specifically, the calculation formula of the initial estimated temperature is:

[0075]

[0076] Where, T 0，j represents the preliminary estimated temperature of the jth third intersection under the influence of each first intersection; n represents the total number of first intersections; Ti represents the first temperature information of the i-th first intersection;

[0077] S143. Calculate a second influence weight of each second intersection point on the third intersection point based on the distance. Specifically, the second influence weight is calculated in the same manner as the first influence weight, and the formula is:

[0078]

[0079] Where w cj represents the first influence weight of the cth second intersection point on the jth third intersection point; d cj represents the distance from the cth second intersection point to the jth third intersection point;

[0080] S144. Calculate the influence value of the air cooler according to the second influence weight. Specifically, the calculation formula of the influence value of the air cooler is:

[0081] ΔT c，j =w cj ×(T cold -T 0，j )

[0082] Where, ΔT c，j T represents the influence of the cth second intersection on the jth third intersection; cold Indicates the output temperature of the air cooler;

[0083] S145. Determine whether the door of the target warehouse is open;

[0084] If yes, proceed to step S146;

[0085] If not, proceed to step S147 and define the outdoor impact value of each intersection as 0;

[0086] S146. Obtain the gate area, external wind speed, and external wind direction of the target warehouse, and calculate the outdoor impact value of each intersection based on the gate area, external wind speed, external wind direction, the second temperature information, and the third temperature information of each location. The calculation formula is:

[0087]

[0088] Where, ΔT i represents the outdoor impact value of the i-th intersection; k represents the comprehensive impact coefficient; v represents the external wind speed; θ represents the external wind direction; θ door Indicates the door direction of the target cold storage; A door Indicates the gate area; d point (x i ,y i ) represents the shortest distance from the i-th intersection to the cold storage door; T externalIndicates the second temperature information; T internal，i (x i ,y i ) represents the third temperature information of the i-th intersection; in the present invention, k is 0.2.

[0089] S147. Correct the initial estimated temperature according to the cold wind impact value and the outdoor impact value to generate third temperature information. Specifically, the calculation formula for correcting the initial estimated temperature is:

[0090] T a，j =T0+ΔT c +ΔT i

[0091] Where, T a，j Indicates the third temperature information of the j-th third intersection.

[0092] It should be noted that the first temperature information obtained by the temperature monitoring device and the output temperature of the air cooler position are directly used as the third temperature information of the corresponding intersection.

[0093] S15: Transmit the third temperature information to the temperature control module.

[0094] The temperature control module is connected to the central processor and controls the output power of each air cooler according to the third temperature information. Specifically, for the convenience of management, different types of agricultural products in the agricultural product cold chain warehouse are stored on shelves in different locations. Different agricultural products have different temperature requirements. To ensure the optimal storage temperature of each agricultural product, the output power of the air cooler needs to be controlled. The specific steps are as follows:

[0095] S21. Divide the plane coordinate system into several sub-areas according to the shelf position of each item in the target warehouse, and mark the appropriate temperature value of each sub-area; specifically, manually divide the sub-areas and mark the appropriate temperature value of each sub-area, such as Figure 3 As shown;

[0096] S22 constructs a temperature distribution diagram in a plane coordinate system according to the third temperature information of each intersection point, such as Figure 4 , and judge whether each sub-region is at an appropriate temperature value based on it; specifically, it can be obtained by comparing the third temperature information of each intersection with the appropriate temperature value of the sub-region at the corresponding position;

[0097] If so, then end;

[0098] If not, proceed to step S23;

[0099] S23, construct the influence area of each second intersection in the temperature distribution map, and calculate the temperature to be adjusted in the influence area, such as Figure 5Specifically, the average value of the difference between the temperature of each intersection point in each image area and the appropriate temperature value at the corresponding position is calculated. Since there are overlapping parts between adjacent image areas, this can achieve the effect of adjusting the temperature of different areas separately. To this end, in step S23, the following steps are specifically included:

[0100] S231, calculating the temperature difference between each intersection point in each image region and the appropriate temperature value of the corresponding sub-region;

[0101] S232, calculating the temperature to be adjusted for each image area; specifically, in step S232, the calculation formula for the temperature to be adjusted is:

[0102]

[0103] Where, ΔT avg，r Indicates the temperature that needs to be adjusted in the rth affected area; N r represents the total number of intersections in the rth impact area; ΔT u，r The temperature difference between the third temperature information of the u-th intersection of the r-th impact area and the corresponding appropriate temperature value.

[0104] S24. Calculate the required fan output power according to the temperature to be adjusted. Specifically, in step S24, the formula for the fan output power is:

[0105] P output，r =ΔT avg，r ×K adjust ×η×P max / (T external -ΔT avg，r )

[0106] Where, P output，r Indicates the required wind turbine output power corresponding to the rth impact area; K adjust and η represent the comprehensive adjustment coefficient and the efficiency coefficient of the air cooler respectively; P max Indicates the maximum output power of the air cooler; specifically, K adjust and η are 0.85 and 0.75, respectively;

[0107] S25, converting the required fan output power into an electrical signal and transmitting the signal to the cooling fan.

[0108] When the present invention controls the output power of the air cooler in the agricultural products cold chain warehouse, the actual temperature of each position is first calculated, and then the temperature difference between each intersection and the ideal state is calculated, and the output power of each air cooler is determined based on it. Compared with other temperature management methods of agricultural products cold chain warehouses, regional temperature control can be performed to meet the temperature demand differences at different positions in the agricultural products cold chain warehouse, and when the external environment changes such as when the warehouse door is opened, the air cooler power can be quickly responded to, that is, adjusted to avoid sudden changes in internal temperature affecting the storage and preservation time of agricultural products.

[0109] The above embodiments provide a detailed introduction to the present invention. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the ideas of the present invention, there may be changes in the specific implementation methods and application scopes. In summary, the contents of this specification should not be understood as limiting the present invention.

Claims

1. An intelligent management and monitoring system for cold chain storage and transportation of agricultural products, characterized in that: include: a temperature information collection module, the temperature information collection module including a plurality of temperature monitoring devices disposed inside and outside the target warehouse, the temperature monitoring devices being configured to monitor first temperature information inside the target warehouse and second temperature information outside the target warehouse in real time, and transmit the information to a central processing unit; a warehouse door monitoring module, the warehouse door monitoring module responding to a door control signal of a target warehouse door driving device and sending the door control signal to a central processing unit; a central processing unit, the central processing unit being configured to calculate third temperature information of each location in the warehouse based on the first temperature information, the second temperature information, and the gate control signal, and transmit the third temperature information to the temperature control module; A temperature control module is connected to the central processing unit, and controls the output power of each air cooler according to the third temperature information.

2. The intelligent management and monitoring system for cold chain storage and transportation of agricultural products according to claim 1 is characterized in that: The temperature monitoring equipment installed in the target warehouse is evenly distributed.

3. The intelligent management and monitoring system for cold chain storage and transportation of agricultural products according to claim 1 is characterized in that: The calculation method of the third temperature information specifically includes: S11. Construct a plane coordinate system with the center point of the target warehouse as the origin 0 and the east-west direction and the north-south direction as the x-axis and y-axis respectively; S12. Construct a plurality of first test lines and a plurality of second test lines along the x-axis and y-axis directions of the plane coordinate system, respectively. The distance between each two adjacent first test lines is d, and the distance between each two adjacent second test lines is also d. Define the position of each temperature monitoring device in the plane coordinate system as a first intersection point. S13, defining the outlet position of each air cooler in the target warehouse as a second intersection point, and defining the positions other than the first intersection point and the second intersection point as a third intersection point; S14, calculating third temperature information of each intersection point according to the first intersection point and the second intersection point and each corresponding first temperature information and the output temperature of the air cooler; S15: Transmit the third temperature information to the temperature control module.

4. The intelligent management and monitoring system for cold chain storage and transportation of agricultural products according to claim 3 is characterized in that: In step S14, the following steps are specifically included: S141. Calculate a first influence weight w of each first intersection point on the third intersection point based on the distance. ij ; S142: According to the first influence weight w ij Calculate the initial estimated temperature T for each third intersection 0，j ; S143. Calculate the second influence weight w of each second intersection point on the third intersection point based on the distance. cj ; S144: According to the second influence weight w cj Calculate the cooling fan impact value ΔT c，j ; S145. Determine whether the door of the target warehouse is open; If yes, proceed to step S146; If not, then go to step S147 and set the outdoor influence value ΔT of each intersection point i Defined as 0; S146. Obtain the gate area, external wind speed, and external wind direction of the target warehouse, and calculate the outdoor impact value ΔT of each intersection based on the gate area, external wind speed, external wind direction, the second temperature information, and the third temperature information of each location. i ; S147: Correct the initial estimated temperature according to the cold wind impact value and the outdoor impact value to generate third temperature information.

5. The intelligent management and monitoring system for cold chain storage and transportation of agricultural products according to claim 4 is characterized in that: In step S142, the calculation formula of the initial estimated temperature T0 is: Where, T 0，j represents the preliminary estimated temperature based on the jth third intersection point under the influence of each first intersection point; n represents the total number of first intersection points; T i Indicates the first temperature information of the i-th first intersection.

6. The intelligent management and monitoring system for cold chain storage and transportation of agricultural products according to claim 4 is characterized in that: In step S146, the outdoor influence value ΔT of each intersection point is calculated. i The calculation formula is: Where, ΔT i represents the outdoor impact value of the i-th intersection; k represents the comprehensive impact coefficient; v represents the external wind speed; θ represents the external wind direction; θ door Indicates the door direction of the target cold storage; A door Indicates the gate area; d point (x i ,y i ) represents the shortest distance from the i-th intersection to the cold storage door; T external Indicates the second temperature information; T internal，i (x i ,y i ) represents the third temperature information of the i-th intersection.

7. The intelligent management and monitoring system for cold chain storage and transportation of agricultural products according to claim 1 is characterized in that: The specific steps to control the output power of the air cooler are as follows: S21. Divide the plane coordinate system into several sub-areas according to the shelf location of each item in the target warehouse, and mark the appropriate temperature value of each sub-area; S22 constructs a temperature distribution map in a plane coordinate system according to the third temperature information of each intersection, and determines whether each sub-area is at an appropriate temperature value based on the temperature distribution map; If so, then end; If not, proceed to step S23; S23, constructing the influence area of each second intersection in the temperature distribution map, and calculating the temperature ΔT that needs to be adjusted in the influence area avg，r ; S24. Calculate the required fan output power P based on the temperature to be adjusted output，r ; S25, converting the required fan output power into an electrical signal and transmitting the signal to the cooling fan.

8. The intelligent management and monitoring system for cold chain storage and transportation of agricultural products according to claim 7 is characterized in that: In step S23, the following steps are specifically included: S231, calculating the temperature difference between each intersection point in each image region and the appropriate temperature value of the corresponding sub-region; S232: Calculate the temperature ΔT required to be adjusted for each image area avg，r , and its calculation formula is: Where, ΔT avg，r Indicates the temperature that needs to be adjusted in the rth affected area; N r represents the total number of intersections in the rth impact area; ΔT u，r The temperature difference between the third temperature information of the u-th intersection of the r-th impact area and the corresponding appropriate temperature value.

9. The intelligent management and monitoring system for cold chain storage and transportation of agricultural products according to claim 7 is characterized in that: In step S24, the fan output power P output，r The calculation formula is: P output，r =ΔT avg，r ×K adjust ×η×P max / (T external -ΔT avg，r ) Where, P output，r Indicates the required wind turbine output power corresponding to the rth impact area; K adjust and η represent the comprehensive adjustment coefficient and the efficiency coefficient of the air cooler respectively; P max Indicates the maximum output power of the air cooler.

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