Cold chain management platform and management method thereof

Abstract

The invention discloses a cold chain management platform and a management method thereof, and the method comprises the following steps: receiving order information, which comprises a commodity category, a commodity number, a commodity temperature demand, a commodity delivery time, and a delivery address; obtaining the order packaging volume according to the number of single orders, and matching different orders in combination with the order temperature demand, the order delivery address and the order delivery time; order information is generated, and commodity packaging, path planning and commodity distribution are carried out in sequence; according to the method, the packaging volume is determined by obtaining the order commodity category, the number and the historical order data, and a basis is provided for order size division; in addition, combined distribution is carried out in combination with temperature requirements and distribution address matching conditions, the independent packaging cost and energy consumption are reduced, the cold chain resource utilization rate is increased, and the transportation stability and the distribution efficiency are guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of cold chain management, and in particular to a cold chain management platform and a management method thereof. Background Art

[0002] With the vigorous development of fresh food e-commerce, pharmaceutical cold chain and other industries, the scale of the cold chain transportation market continues to expand, and the requirements for the refinement of cold chain management are also increasing. However, there are many thorny problems in the current cold chain management field; In the process of cold chain transportation, unreasonable resource allocation is a common phenomenon. Single orders mostly use independent cold chain packaging. Traditional order transportation does not combine orders and does not integrate the refrigeration synergy effect between orders, resulting in small-volume orders requiring independent configuration of refrigeration environment, causing redundant cold energy dispersion and a surge in transportation costs. At the same time, the stable cold source of large-volume orders has not formed a large-scale temperature control resource sharing, which not only wastes its natural temperature regulation ability, but also increases carbon emissions and cargo damage rate due to decentralized transportation, ultimately leading to the fragmentation of cold chain resources and a dual imbalance between logistics efficiency and cost control. In addition, traditional cold chain transportation does not perform temperature detection when the order is delivered, which causes the temperature to exceed the requirements during the delivery time period, resulting in the risk of cold chain orders being derailed.

[0003] Currently, no effective solution has been proposed for the problems in the related technologies. Summary of the invention

[0004] In view of the problems in the related technology, the present invention proposes a cold chain management platform and a management method thereof to overcome the above-mentioned technical problems existing in the existing related technology.

[0005] To this end, the specific technical solution adopted by the present invention is as follows: A cold chain management method, the method comprising the following steps: S1. Receive order information, including product category, product quantity, product temperature requirement, product delivery time, and delivery address; S2. Obtain the order packaging volume according to the single order quantity, and match different orders based on the order temperature requirements, order delivery address, and order delivery time; S3, generate order information, and carry out product packaging, route planning and product delivery in sequence; S4. Collect the order temperature data uploaded by the deliveryman upon delivery to verify whether the order temperature is within the normal range. When the order temperature exceeds the normal range, analyze the specific reasons and provide feedback to further improve cold chain management.

[0006] As a preferred implementation, the order packaging volume is obtained according to the single order quantity, and different orders are matched in combination with the order temperature requirement, order delivery address, and order delivery time, including the following steps: S21, obtaining the category and quantity of the order goods, and obtaining the packaging volume of the order goods according to the packaging volume of the historical order data, and combining and matching orders of different volumes; S22. Screen the delivery time of the orders of the matching combinations, and eliminate the matching combinations in which large-volume orders are given priority over small-volume orders, so as to ensure that the delivery time of small-volume orders is given priority over large-volume orders.

[0007] As a preferred implementation, the steps of obtaining the order commodity category and quantity, obtaining the packaging volume of the order commodity according to the packaging volume of the historical order data, and combining and matching orders of different volumes include the following steps: S211, obtaining commodity categories, commodity quantities, and packaging volumes of historical order data, and classifying them according to commodity categories. After the classification is completed, a relationship model between commodity quantities and packaging volumes in the historical data is established, and the packaging volumes of existing orders are calculated; S212, presetting an order packaging volume range, and dividing the order into a large volume order and a small volume order according to the preset order packaging volume range; S213. Set temperature requirement matching conditions and delivery address matching conditions; the temperature requirement matching condition is that the temperature requirement of small-volume orders cannot exceed the temperature requirement of large-volume orders, and the delivery address matching condition is to give priority to matching orders with short distances; then match and combine large-volume orders and small-volume orders according to the spatial volume of a single delivery.

[0008] Setting the matching condition that the temperature requirement of small-volume orders cannot exceed that of large-volume orders can avoid the problem of product damage due to the stringent requirements of small orders. At the same time, short-distance cold chain transportation can usually only maintain a single temperature range. Therefore, by limiting the temperature requirements of small orders to match those of large orders, temperature conflicts can be avoided and logistics scheduling can be simplified.

[0009] As a preferred implementation, the delivery time screening of the orders of the matching combination is performed, and the matching combination in which the large volume orders are prioritized over the small volume orders is screened out, so as to ensure that the delivery time of the small volume orders is prioritized over the large volume orders, and the orders with similar time are set as the priority conditions for matching, including the following steps: S221. Calculate the cost of separate delivery and combined delivery of the large-volume orders and small-volume orders that have been screened out, and calculate the difference between the single delivery and the combined delivery based on the cost. If the difference is a negative number, directly perform separate delivery. If the difference is a positive number, use the difference as the profit value. S222. Calculate the delivery time intervals of the large-volume orders and the small-volume orders that have been screened out, and set a profit sharing coefficient based on the obtained delivery time interval and profit value. Finally, calculate the profit sharing amount based on the profit sharing coefficient to generate equal-value preferential conditions, which are pushed to users to increase the probability of order matching.

[0010] As a preferred implementation, the cost of separate delivery and combined delivery of large-volume orders and small-volume orders that are screened out is calculated, and the difference between single delivery and combined delivery is calculated based on the cost. When the difference is a negative number, separate delivery is directly performed. When the difference is a positive number, the difference is used as the profit value. The calculation formula is: ; in, is the calculated difference, For large volume orders, For small volume orders, is the separate delivery cost for a single large-volume order, The individual delivery cost for a small order. is the amortized cost of a single large-volume order in combined delivery, The amortized cost of a single small-volume order in combined delivery, The fixed cost for combined delivery; , eliminate the combined delivery plan and directly carry out separate delivery, , and the calculated difference is used as the profit value.

[0011] As a preferred implementation, the calculation of the delivery time intervals of the large-volume orders and the small-volume orders that are screened out, setting the profit sharing coefficient based on the obtained delivery time interval and profit value, and finally calculating the profit sharing amount according to the profit sharing coefficient to generate equal value preferential conditions, which are pushed to the user, to improve the order matching probability, includes the following steps: S2221. Set the upper limit of the profit margin not exceeding ,in is the profit allocation coefficient, and , and introduce the time decay function according to the order interval to dynamically adjust the profit sharing coefficient. The specific formula is: ; in, Dynamically adjusted profit allocation coefficient, is the maximum profit margin, that is, the maximum profit margin that can be given for a single order. is the time decay rate, which controls the sensitivity of the profit-sharing coefficient as the waiting time increases. The interval between orders; S2222. Calculate the profit amount based on the profit allocation coefficient obtained. The specific formula is: ; in, is the calculated profit amount, is the order attribute weight; S2223. Generate equivalent preferential conditions based on the calculated concession amount, and push the generated preferential conditions to the user.

[0012] As a preferred implementation, the order temperature data uploaded by the delivery person is collected during delivery to verify whether the order temperature is within the normal range. When the order temperature exceeds the normal range, the specific reasons are analyzed and feedback is provided. Further improving the cold chain management includes the following steps: S41. Collect the order temperature data uploaded by the delivery staff to verify whether the order temperature is within the normal range. When the order temperature exceeds the normal range, analyze the specific reasons. The reasons are divided into direct reasons and incidental reasons. Incidental reasons are the delivery time extension caused by the delivery staff’s personal factors. Direct reasons include unreasonable planning of the route leading to extended delivery time, unreasonable packaging, and unreasonable combination of large-volume orders and small-volume orders. Finally, provide feedback on the analyzed reasons to further improve and optimize the cold chain management.

[0013] As a preferred implementation, the specific reasons are analyzed, and the reasons are divided into direct reasons and incidental reasons. Incidental reasons are the extension of delivery time caused by personal factors of the delivery personnel. Direct reasons include unreasonable planning of the route leading to extended delivery time, unreasonable packaging, and unreasonable combination of large-volume orders and small-volume orders. Finally, the reasons for the analysis are fed back, and further improvement and optimization of cold chain management include the following steps: S411. When the order temperature exceeds the normal range due to unreasonable path planning, the cause is fed back to the path planning step to optimize the path planning method. When the order temperature exceeds the normal range due to unreasonable packaging, the cause is fed back to the product packaging step to optimize the product packaging. S412. When the order temperature exceeds the normal range due to an unreasonable combination of large-volume orders and small-volume orders, verify the preset large-volume order range and small-volume order division range. When the total cooling demand of the small order exceeds the cooling capacity of the large order, modify the preset order packaging volume range to optimize the order combination.

[0014] A cold chain management platform, which adopts any one of the cold chain management methods described above, including a user management unit, an order management unit, a matching unit, a distribution management unit, and a feedback unit; The user management unit is responsible for creating user accounts, allocating permissions and maintaining information, and pushing relevant notifications on user order status; The order management unit performs full life cycle management of all cold chain orders on the platform, including order creation, status update, exception handling and archiving; The matching unit optimizes resource allocation for cold chain orders to achieve efficient matching of orders and transportation resources; The delivery management unit performs route planning according to the delivery address and delivery time, and tracks the delivery progress; The feedback unit performs multi-dimensional analysis on the cold chain order data and generates feedback information to improve the management of the cold chain platform.

[0015] The beneficial effects of the present invention are: 1. The present invention obtains the category and quantity of the order goods and obtains the packaging volume of the order goods according to the historical order data, which can not only accurately obtain the accurate packaging volume, but also provide a strong basis for the subsequent division of the order size according to the volume.

[0016] 2. The present invention presets the order packaging volume range, and combines the orders with the temperature requirement matching conditions and the delivery address matching conditions for combined delivery, which can have the following two advantages: First, through combined delivery, small-volume orders can be transported relying on the refrigeration environment and packaging conditions of large-volume orders, significantly reducing the cost and energy consumption of independent packaging, thereby achieving the effect of improving the utilization rate of cold chain resources. At the same time, through economies of scale, temperature stability can be maintained, achieving the two-way benefits of reducing transportation frequency and preserving goods, and providing a low-cost, high-reliability delivery solution for goods transported by cold chain; secondly, by setting the temperature requirement matching conditions and the delivery address matching conditions, the stability of cold chain transportation is guaranteed, avoiding the temperature of small-volume orders exceeding the range of large-volume orders, and the efficiency of cold chain delivery is improved.

[0017] 3. The present invention screens the delivery time of the orders in matching combinations, screens out the matching combinations in which large-volume orders take precedence over small-volume orders, ensures that the delivery time of small-volume orders takes precedence over large-volume orders, and sets orders with similar times as matching priority conditions, so as to maximize the use of the stable refrigeration environment of large-volume orders, shorten the exposure time of small-volume orders to reduce the risk of cargo damage, and avoid the problem that large-volume orders are delivered while small-volume orders lose the refrigeration environment.

[0018] 4. The present invention sets a profit sharing coefficient for orders that are screened out due to delivery time mismatch, and calculates the profit value based on the profit sharing coefficient to generate equivalent preferential conditions and pushes them to users, thereby effectively improving the matching efficiency of order combinations. At the same time, the profit sharing coefficient is dynamically adjusted through the delivery time interval of two groups of orders, which can not only compensate for the user's waiting cost to improve the matching rate, but also avoid excessive subsidies to control the expenditure of the cold chain platform.

[0019] 5. The present invention verifies the order temperature by collecting the order temperature data uploaded by the delivery personnel, and can more specifically analyze the reasons why the order temperature exceeds the range and provide feedback, thereby further improving the cold chain management. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0021] Figure 1 is a flow chart of a cold chain management method according to an embodiment of the present invention; Figure 2 It is a module diagram of a cold chain management platform according to an embodiment of the present invention. DETAILED DESCRIPTION

[0022] To further illustrate each embodiment, the present invention provides drawings, which are part of the disclosure of the present invention and are mainly used to illustrate the embodiments. They can be used in conjunction with the relevant descriptions in the specification to explain the operating principles of the embodiments. With reference to these contents, ordinary technicians in the field should be able to understand other possible implementations and advantages of the present invention. The components in the figures are not drawn to scale, and similar component symbols are generally used to represent similar components.

[0023] According to an embodiment of the present invention, a cold chain management platform and a management method thereof are provided.

[0024] The present invention is further described with reference to the accompanying drawings and specific embodiments. Figure 1-Figure 2 As shown, a cold chain management method according to an embodiment of the present invention comprises the following steps: S1. Receive order information, including product category, product quantity, product temperature requirement, product delivery time, and delivery address; S2. Obtain the order packaging volume according to the single order quantity, and match different orders based on the order temperature requirements, order delivery address, and order delivery time; Furthermore, obtaining the order packaging volume according to the single order quantity, and matching different orders in combination with the order temperature requirement, order delivery address, and order delivery time include the following steps: S21, obtaining the category and quantity of the order goods, and obtaining the packaging volume of the order goods according to the packaging volume of the historical order data, and combining and matching orders of different volumes; Further, S211, obtaining commodity categories, commodity quantities, and packaging volumes of historical order data, and classifying them according to commodity categories. After the classification is completed, a relationship model between commodity quantities and packaging volumes in the historical data is established, and the packaging volumes of existing orders are calculated; It should be noted that the category weighted model is established through historical data to calculate the packaging volume of existing orders. The formula is: ;in, is the calculated packaging volume, is the total number of different product categories in the order, A code for a specific product category. Weight coefficient, corresponding to each product The volume contribution per unit quantity, For goods The number of

[0025] S212, presetting an order packaging volume range, and dividing the order into a large volume order and a small volume order according to the preset order packaging volume range; S213, setting temperature requirement matching conditions and delivery address matching conditions; the temperature requirement matching condition is that the temperature requirement of small-volume orders cannot exceed the temperature requirement of large-volume orders, and the delivery address matching condition is to give priority to matching orders with short distances; and then matching and combining large-volume orders and small-volume orders according to the space volume of a single delivery; It should be noted that combining large-volume orders with small-volume orders for delivery and giving priority to small-volume orders can improve the utilization rate of cold chain resources. In addition, small-volume orders rely on the stable refrigeration environment of large orders, which can also reduce the cost of independent packaging and achieve the effect of saving resources.

[0026] S22, screening the delivery time of the orders of the matching combination, screening out the matching combination in which the large-volume orders are given priority over the small-volume orders, and ensuring that the small-volume orders are delivered before the large-volume orders; Further, the delivery time of the orders of the matching combination is screened, and the matching combination in which the large-volume orders are given priority over the small-volume orders is screened out, so as to ensure that the delivery time of the small-volume orders is given priority over the large-volume orders, and set the orders with similar time as the priority condition for matching, including the following steps: S221. Calculate the cost of separate delivery and combined delivery of the large-volume orders and small-volume orders that have been screened out, and calculate the difference between the single delivery and the combined delivery based on the cost. If the difference is a negative number, directly perform separate delivery. If the difference is a positive number, use the difference as the profit value. Furthermore, the cost of separate delivery and combined delivery of large-volume orders and small-volume orders that have been screened out is calculated, and the difference between single delivery and combined delivery is calculated based on the cost. When the difference is negative, separate delivery is performed directly. When the difference is positive, the difference is used as the profit value. The calculation formula is: ; in, is the calculated difference, For large volume orders, For small volume orders, is the separate delivery cost for a single large-volume order, The individual delivery cost for a small order. is the amortized cost of a single large-volume order in combined delivery, The amortized cost of a single small-volume order in combined delivery, The fixed cost for combined delivery; , eliminate the combined delivery plan and directly carry out separate delivery, , and take the calculated difference as the profit value; S222. Calculate the delivery time intervals of the large-volume orders and the small-volume orders that have been screened out, and set a profit sharing coefficient based on the obtained delivery time interval and profit value. Finally, calculate the profit sharing amount based on the profit sharing coefficient to generate equal-value preferential conditions, which are pushed to users to increase the probability of order matching.

[0027] Furthermore, the delivery time intervals of the large-volume orders and the small-volume orders that are screened out are calculated, and a profit sharing coefficient is set based on the obtained delivery time interval and profit value. Finally, the profit sharing amount is calculated according to the profit sharing coefficient to generate equal value preferential conditions, which are pushed to users. Improving the order matching probability includes the following steps: S2221. Set the upper limit of the profit margin not exceeding ,in is the profit allocation coefficient, and , and introduce the time decay function according to the order interval to dynamically adjust the profit sharing coefficient. The specific formula is: ; in, Dynamically adjusted profit allocation coefficient, is the maximum profit margin, that is, the maximum profit margin that can be given for a single order. is the time decay rate, which controls the sensitivity of the profit-sharing coefficient as the waiting time increases. The interval between orders; S2222. Calculate the profit amount based on the profit allocation coefficient obtained. The specific formula is: ; in, is the calculated profit amount, is the order attribute weight; S2223. Generate equivalent preferential conditions based on the calculated concession amount, and push the generated preferential conditions to the user.

[0028] It should be noted that the generated preferential conditions include equal-value coupons, discount coupons, and coupons for full discounts. Users can view the pushed preferential conditions and make reasonable choices by logging into the user end of the platform. In addition, by pushing preferential conditions, the probability of order matching can be effectively increased, so that cost control can be optimized while ensuring profit margins. It should be noted that by dynamically adjusting the profit-sharing coefficient to generate preferential push notifications, users can be accurately incentivized to accept flexible delivery times. Orders with long intervals can compensate for waiting costs through higher profit-sharing to improve matching rates, while orders with short intervals can reduce profit-sharing to control costs. This strategy balances user satisfaction and platform resource efficiency, which not only saves cold chain delivery transportation but also avoids excessive subsidies. At the same time, it can enhance user retention through preferential stickiness.

[0029] S3, generate order information, and carry out product packaging, route planning and product delivery in sequence; S4. Collect the order temperature data uploaded by the deliveryman upon delivery to verify whether the order temperature is within the normal range. When the order temperature exceeds the normal range, analyze the specific reasons and provide feedback to further improve cold chain management.

[0030] Furthermore, upon delivery, the order temperature data uploaded by the delivery person is collected to verify whether the order temperature is within the normal range. When the order temperature exceeds the normal range, the specific reasons are analyzed and feedback is provided. Further improvement of cold chain management includes the following steps: S41. Collect the order temperature data uploaded by the delivery staff to verify whether the order temperature is within the normal range. When the order temperature exceeds the normal range, analyze the specific reasons. The reasons are divided into direct reasons and incidental reasons. Incidental reasons are the delivery time extension caused by the delivery staff’s personal factors. Direct reasons include unreasonable planning of the route leading to extended delivery time, unreasonable packaging, and unreasonable combination of large-volume orders and small-volume orders. Finally, provide feedback on the analyzed reasons to further improve and optimize the cold chain management.

[0031] It should be noted that traditional cold chain distribution usually does not perform temperature detection at the final end, so it cannot guarantee that the temperature during the delivery period meets the requirements, causing the risk of cold chain orders being derailed. Therefore, by verifying the temperature of the ordered goods at the terminal and providing feedback, the specific steps of cold chain management can be further improved, achieving the effect of strengthening cold chain management in multiple dimensions.

[0032] Further, the specific reasons are analyzed. The reasons are divided into direct reasons and incidental reasons. Incidental reasons are the delivery time extension caused by the delivery personnel's personal factors. Direct reasons include unreasonable planning of the route leading to extended delivery time, unreasonable packaging, and unreasonable combination of large-volume orders and small-volume orders. Finally, the reasons for the analysis are fed back. Further improvement and optimization of cold chain management includes the following steps: S411. When the order temperature exceeds the normal range due to unreasonable path planning, the cause is fed back to the path planning step to optimize the path planning method. When the order temperature exceeds the normal range due to unreasonable packaging, the cause is fed back to the product packaging step to optimize the product packaging. S412. When the order temperature exceeds the normal range due to an unreasonable combination of large-volume orders and small-volume orders, verify the preset large-volume order range and small-volume order division range. When the total cooling demand of the small order exceeds the cooling capacity of the large order, modify the preset order packaging volume range to optimize the order combination.

[0033] A cold chain management platform, which adopts any one of the above cold chain management methods, including a user management unit, an order management unit, a matching unit, a distribution management unit, and a feedback unit; The user management unit is responsible for creating user accounts, allocating permissions, and maintaining information, and also pushes relevant notifications about user order status; The order management unit manages the entire life cycle of all cold chain orders on the platform, including order creation, status update, exception handling and archiving; Matching unit, which optimizes resource allocation for cold chain orders to achieve efficient matching of orders and transportation resources; The delivery management unit plans the route according to the delivery address and delivery time, and tracks the delivery process; The feedback unit conducts multi-dimensional analysis of cold chain order data and generates feedback information to improve the management of the cold chain platform.

[0034] In summary, the present invention obtains the category and quantity of order goods and obtains the packaging volume of the order goods according to historical order data, which can not only accurately obtain the accurate packaging volume, but also provide a strong basis for the subsequent division of the order size according to volume; the present invention presets the order packaging volume range, and combines the orders with the temperature requirement matching conditions and the delivery address matching conditions for combined delivery, which can have the following two advantages: first, through combined delivery, small-volume orders can be transported relying on the refrigeration environment and packaging conditions of large-volume orders, which significantly reduces the cost and energy consumption of independent packaging, and achieves the effect of improving the utilization rate of cold chain resources. At the same time, through the scale effect, temperature stability can be maintained, achieving the two-way benefits of reducing transportation frequency and keeping goods fresh, and providing a low-cost, high-reliability delivery solution for goods transported by cold chain; secondly, by setting the temperature requirement matching conditions and the delivery address matching conditions, it not only ensures the stability of cold chain transportation, avoids the temperature of small-volume orders exceeding the range of large-volume orders, but also improves the efficiency of cold chain delivery; the present invention The delivery time of the matched orders is screened, and the matching combination of large-volume orders taking precedence over small-volume orders is screened out to ensure that the delivery time of small-volume orders takes precedence over large-volume orders, and orders with similar time are set as the priority conditions for matching, so as to maximize the use of the stable refrigeration environment of large-volume orders, shorten the exposure time of small-volume orders to reduce the risk of cargo damage, and avoid the problem that large-volume orders are delivered but small-volume orders lose the refrigeration environment; the present invention sets a profit distribution coefficient for the orders screened out due to delivery time mismatch, and calculates the profit value according to the profit distribution coefficient to generate equal preferential conditions and push them to users, so as to effectively improve the matching efficiency of the order combination; at the same time, the profit distribution coefficient is dynamically adjusted through the delivery time interval of the two groups of orders, which can not only compensate for the user's waiting cost to improve the matching rate, but also avoid excessive subsidies to control the expenditure of the cold chain platform; the present invention collects the order temperature data uploaded by the delivery personnel to verify the order temperature, and can more specifically analyze the reasons why the order temperature exceeds the range and provide feedback, so as to further improve the cold chain management.

[0035] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A cold chain management method, characterized in that: The method comprises the following steps: S1. Receive order information, including product category, product quantity, product temperature requirement, product delivery time, and delivery address; S2. Obtain the order packaging volume according to the single order quantity, and match different orders based on the order temperature requirements, order delivery address, and order delivery time; S3, generate order information, and carry out product packaging, route planning and product delivery in sequence; S4. Collect the order temperature data uploaded by the deliveryman upon delivery to verify whether the order temperature is within the normal range. When the order temperature exceeds the normal range, analyze the specific reasons and provide feedback to further improve cold chain management.

2. A cold chain management method according to claim 1, characterized in that: The method of obtaining the order packaging volume according to the single order quantity and matching different orders in combination with the order temperature requirement, order delivery address, and order delivery time includes the following steps: S21, obtaining the category and quantity of the order goods, and obtaining the packaging volume of the order goods according to the packaging volume of the historical order data, and combining and matching orders of different volumes; S22. Screen the delivery time of the orders of the matching combinations, and eliminate the matching combinations in which large-volume orders are given priority over small-volume orders, so as to ensure that the delivery time of small-volume orders is given priority over large-volume orders.

3. A cold chain management method according to claim 2, characterized in that: The method of obtaining the order commodity category and quantity, obtaining the packaging volume of the order commodity according to the packaging volume of the historical order data, and combining and matching orders of different volumes includes the following steps: S211, obtaining commodity categories, commodity quantities, and packaging volumes of historical order data, and classifying them according to commodity categories. After the classification is completed, a relationship model between commodity quantities and packaging volumes in the historical data is established, and the packaging volumes of existing orders are calculated; S212, presetting an order packaging volume range, and dividing the order into a large volume order and a small volume order according to the preset order packaging volume range; S213. Set temperature requirement matching conditions and delivery address matching conditions; the temperature requirement matching condition is that the temperature requirement of small-volume orders cannot exceed the temperature requirement of large-volume orders, and the delivery address matching condition is to give priority to matching orders with short distances; then match and combine large-volume orders and small-volume orders according to the spatial volume of a single delivery.

4. A cold chain management method according to claim 2, characterized in that: The delivery time screening of the orders of the matching combination is performed, and the matching combination in which the large volume orders are prioritized over the small volume orders is screened out, so as to ensure that the delivery time of the small volume orders is prioritized over the large volume orders, and the orders with similar time are set as the priority conditions for matching, including the following steps: S221. Calculate the cost of separate delivery and combined delivery of the large-volume orders and small-volume orders that have been screened out, and calculate the difference between the single delivery and the combined delivery based on the cost. If the difference is a negative number, directly perform separate delivery. If the difference is a positive number, use the difference as the profit value. S222. Calculate the delivery time intervals of the large-volume orders and the small-volume orders that have been screened out, and set a profit sharing coefficient based on the obtained delivery time interval and profit value. Finally, calculate the profit sharing amount based on the profit sharing coefficient to generate equal-value preferential conditions, which are pushed to users to increase the probability of order matching.

5. A cold chain management method according to claim 4, characterized in that: The calculation is to filter out the costs of individual and combined delivery of large and small orders, and calculate the difference between single delivery and combined delivery based on the cost. When the difference is negative, individual delivery is directly carried out. When the difference is positive, the difference is used as the profit value. The calculation formula is: ； in, is the calculated difference, For large volume orders, For small volume orders, is the separate delivery cost for a single large-volume order, The individual delivery cost for a small order. is the amortized cost of a single large-volume order in combined delivery, The amortized cost of a single small-volume order in combined delivery, The fixed cost for combined delivery; , eliminate the combined delivery plan and directly carry out separate delivery, , and the calculated difference is used as the profit value.

6. A cold chain management method according to claim 5, characterized in that: The calculation of the delivery time intervals of the large-volume orders and the small-volume orders that are screened out, setting the profit sharing coefficient based on the obtained delivery time interval and profit value, and finally calculating the profit sharing amount according to the profit sharing coefficient to generate equal value preferential conditions, push them to the user, and improve the order matching probability include the following steps: S2221. Set the upper limit of the profit margin not exceeding ,in is the profit allocation coefficient, and , and introduce the time decay function according to the order interval to dynamically adjust the profit sharing coefficient. The specific formula is: ； in, Dynamically adjusted profit allocation coefficient, is the maximum profit margin, that is, the maximum profit margin that can be given for a single order. is the time decay rate, which controls the sensitivity of the profit-sharing coefficient as the waiting time increases. The interval between orders; S2222. Calculate the profit amount based on the profit allocation coefficient obtained. The specific formula is: ； in, is the calculated profit amount, is the order attribute weight; S2223. Generate equivalent preferential conditions based on the calculated concession amount, and push the generated preferential conditions to the user.

7. A cold chain management method according to claim 1, characterized in that: The order temperature data uploaded by the delivery person is collected during delivery to verify whether the order temperature is within the normal range. When the order temperature exceeds the normal range, the specific reasons are analyzed and feedback is provided. Further improvement of cold chain management includes the following steps: S41. Collect the order temperature data uploaded by the delivery staff to verify whether the order temperature is within the normal range. When the order temperature exceeds the normal range, analyze the specific reasons. The reasons are divided into direct reasons and incidental reasons. Incidental reasons are the delivery time extension caused by the delivery staff’s personal factors. Direct reasons include unreasonable planning of the route leading to extended delivery time, unreasonable packaging, and unreasonable combination of large-volume orders and small-volume orders. Finally, provide feedback on the analyzed reasons to further improve and optimize the cold chain management.

8. A cold chain management method according to claim 7, characterized in that: The specific reasons for the analysis are divided into direct reasons and incidental reasons. Incidental reasons are the extension of delivery time caused by the personal factors of the delivery personnel. Direct reasons include unreasonable planning of the route leading to extended delivery time, unreasonable packaging, and unreasonable combination of large-volume orders and small-volume orders. Finally, the reasons for the analysis are fed back. Further improvement and optimization of cold chain management includes the following steps: S411. When the order temperature exceeds the normal range due to unreasonable path planning, the cause is fed back to the path planning step to optimize the path planning method. When the order temperature exceeds the normal range due to unreasonable packaging, the cause is fed back to the product packaging step to optimize the product packaging. S412. When the order temperature exceeds the normal range due to an unreasonable combination of large-volume orders and small-volume orders, verify the preset large-volume order range and small-volume order division range. When the total cooling demand of the small order exceeds the cooling capacity of the large order, modify the preset order packaging volume range to optimize the order combination.

9. A cold chain management platform, characterized in that: The platform adopts a cold chain management method as described in any one of claims 1 to 8, including a user management unit, an order management unit, a matching unit, a distribution management unit, and a feedback unit; The user management unit is responsible for creating user accounts, allocating permissions and maintaining information, and pushing relevant notifications on user order status; The order management unit performs full life cycle management of all cold chain orders on the platform, including order creation, status update, exception handling and archiving; The matching unit optimizes resource allocation for cold chain orders to achieve efficient matching of orders and transportation resources; The delivery management unit performs route planning according to the delivery address and delivery time, and tracks the delivery progress; The feedback unit performs multi-dimensional analysis on the cold chain order data and generates feedback information to improve the management of the cold chain platform.

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