A cold chain management platform and its management method

Abstract

The present invention discloses a cold chain management platform and its management method. The method includes the following steps: receiving order information, including commodity category, commodity quantity, commodity temperature requirement, commodity delivery time, and delivery address; obtaining the order packaging volume according to the quantity of a single order, and matching different orders in combination with the order temperature requirement, order delivery address, and order delivery time; generating order information, and successively performing commodity packaging, route planning, and commodity delivery; The present invention determines the packaging volume by obtaining the commodity category, quantity of the order, and historical order data, providing a basis for dividing the order size; In addition, combined distribution is carried out by combining temperature requirements and delivery address matching conditions, reducing the cost and energy consumption of independent packaging, improving the utilization rate of cold chain resources, and ensuring transportation stability and delivery efficiency.

Description

Technical Field

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

[0002] With the booming development of industries such as fresh food e-commerce and pharmaceutical cold chain, the scale of the cold chain transportation market continues to expand, and the requirements for the refinement of cold chain management are also increasing day by day. However, there are many intractable problems in the current cold chain management field;

[0003] During the cold chain transportation process, the phenomenon of unreasonable resource allocation is widespread. For a single order, independent cold chain packaging is mostly used. Traditional order transportation does not combine orders and does not integrate the refrigeration synergy between orders, resulting in the need to independently configure the refrigeration environment for small-volume orders, causing the dispersion and redundancy of cold energy and a sharp increase in transportation costs. At the same time, the stable cold source for large-volume orders does not form a large-scale temperature control resource sharing, which not only wastes its natural temperature control ability but also increases carbon emissions and the cargo damage rate due to decentralized transportation, ultimately leading to the fragmentation of cold chain resources and a double imbalance in logistics efficiency and cost control. In addition, traditional cold chain transportation does not perform temperature detection when the order delivery is completed, resulting in the temperature during the delivery period exceeding the requirements and posing a risk of cold chain order off-chain.

[0004] In response to the problems in the related art, no effective solution has been proposed yet. Summary of the Invention

[0005] In response to the problems in the related art, the present invention proposes a cold chain management platform and a management method thereof to overcome the above technical problems existing in the existing related technologies.

[0006] To this end, the specific technical solutions adopted by the present invention are as follows:

[0007] A cold chain management method, the method comprising the following steps:

[0008] S1. Receive order information, including commodity category, commodity quantity, commodity temperature requirement, commodity delivery time, and delivery address;

[0009] S2. Obtain the order packaging volume according to the quantity of a single order, and match different orders in combination with the order temperature requirement, order delivery address, and order delivery time;

[0010] S3. Generate order information, and successively perform commodity packaging, route planning, and commodity delivery;

[0011] S4. Collect the order temperature data uploaded by the deliveryman upon delivery, verify whether the order temperature is within the normal range. When the order temperature exceeds the normal range, analyze the specific reasons and give feedback to further improve cold chain management.

[0012] As a preferred embodiment, obtaining the order packaging volume according to the quantity of a single order and matching different orders in combination with the order temperature requirement, order delivery address, and order delivery time includes the following steps:

[0013] S21. Obtain the order commodity category and quantity, and based on the packaging volume of historical order data, obtain the packaging volume of the order commodities, and perform combined matching on orders of different volumes;

[0014] S22. Screen the delivery time of the matched combined orders, eliminate the matching combinations where large-volume orders take precedence over small-volume orders, and ensure that the delivery time of small-volume orders takes precedence over that of large-volume orders.

[0015] As a preferred embodiment, obtaining the order commodity category and quantity, and based on the packaging volume of historical order data, obtaining the packaging volume of the order commodities, and performing combined matching on orders of different volumes includes the following steps:

[0016] S211. Obtain the commodity category, commodity quantity, and packaging volume of historical order data, classify them according to the commodity category, and after the classification is completed, establish a relationship model between the commodity quantity and the packaging volume in the historical data, and calculate the packaging volume of the existing order;

[0017] S212. Preset the order packaging volume range, and divide the orders into large-volume orders and small-volume orders according to the preset order packaging volume range;

[0018] S213. Set the temperature requirement matching condition and the delivery address matching condition; 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 preferentially match orders with a shorter distance; then perform matching combination on large-volume orders and small-volume orders according to the spatial volume of a single delivery.

[0019] Setting the matching condition that the temperature requirement of small-volume orders cannot exceed the temperature requirement of large-volume orders can avoid the problem of commodity damage caused by the strict requirements of small orders. At the same time, short-distance cold chain transportation usually can only maintain a single temperature range. Therefore, by restricting the temperature requirement of small orders to adapt to that of large orders, both temperature conflicts can be avoided and logistics scheduling can be simplified.

[0020] As a preferred embodiment, screening the delivery time of the matched combined orders, eliminating the matching combinations where large-volume orders take precedence over small-volume orders, ensuring that the delivery time of small-volume orders takes precedence over that of large-volume orders, and setting orders with similar times as the preferred condition for matching includes the following steps:

[0021] S221. Calculate the costs of separate delivery and combined delivery for large-volume orders and small-volume orders among the screened orders, and calculate the difference between single delivery and combined delivery based on the costs. When the difference is negative, directly perform separate delivery; when the difference is positive, use the difference as the profit value.

[0022] S222. Calculate the delivery time intervals for large-volume orders and small-volume orders among the screened orders, set a profit concession distribution coefficient based on the obtained delivery time intervals and profit values, and finally calculate the concession amount according to the profit concession distribution coefficient to generate equivalent preferential conditions, which are pushed to users to increase the order matching probability.

[0023] As a preferred implementation, the formula for calculating the costs of separate delivery and combined delivery for large-volume orders and small-volume orders among the screened orders, and calculating the difference between single delivery and combined delivery based on the costs. When the difference is negative, directly perform separate delivery; when the difference is positive, use the difference as the profit value is:

[0024] ΔP = n l (C l -c l ) + n s (C s -c s ) - C f ;

[0025] Where, ΔP is the calculated difference, n l is the number of large-volume orders, n s is the number of small-volume orders, C l is the separate delivery cost of a single large-volume order, C s is the separate delivery cost of a single small-volume order, c l is the average cost per single large-volume order in combined delivery, c s is the average cost per single small-volume order in combined delivery, C f is the fixed cost of combined delivery; when ΔP < 0, reject the combined delivery plan and directly perform separate delivery; when ΔP > 0, use the calculated difference as the profit value.

[0026] As a preferred implementation, the steps for calculating the delivery time intervals for large-volume orders and small-volume orders among the screened orders, setting a profit concession distribution coefficient based on the obtained delivery time intervals and profit values, and finally calculating the concession amount according to the profit concession distribution coefficient to generate equivalent preferential conditions, which are pushed to users to increase the order matching probability include the following:

[0027] S2221. Set the maximum concession amount not exceeding ΔP × k, where k is the profit concession distribution coefficient and 1 > k > 0, and dynamically adjust the profit concession distribution coefficient according to the order interval time by introducing a time decay function. The specific formula is:

[0028] k(t)=k m ·(1 - e -λt );

[0029] where k(t) is the dynamically adjusted profit-sharing coefficient, k m is the maximum profit-sharing coefficient, that is, the highest proportion of profit that can be given for a single order, λ is the time decay rate, which controls the sensitivity of the profit-sharing coefficient to the increase in waiting time, and t is the order interval time;

[0030] S2222. Calculate the profit-sharing amount according to the obtained profit-sharing coefficient. The specific formula is:

[0031] W = ΔP·k(t)·S;

[0032] where W is the calculated profit-sharing amount, and S is the order attribute weight;

[0033] S2223. Generate equivalent preferential conditions according to the calculated profit-sharing amount, and push the generated preferential conditions to the user.

[0034] As a preferred implementation manner, collect the order temperature data uploaded by the deliveryman at the time of delivery, verify whether the order temperature is within the normal range. When the order temperature exceeds the normal range, analyze the specific reasons and give feedback to further improve the cold chain management, including the following steps:

[0035] S41. Collect the order temperature data uploaded by the deliveryman, 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 accidental reasons. The accidental reason is the extension of the delivery time caused by the personal factors of the deliveryman. The direct reasons include the extension of the delivery time caused by unreasonable planned routes, unreasonable packaging, and unreasonable combination of large-volume orders and small-volume orders. Finally, feedback the analyzed reasons to further improve and optimize the cold chain management.

[0036] As a preferred implementation manner, analyze the specific reasons. The reasons are divided into direct reasons and accidental reasons. The accidental reason is the extension of the delivery time caused by the personal factors of the deliveryman. The direct reasons include the extension of the delivery time caused by unreasonable planned routes, unreasonable packaging, and unreasonable combination of large-volume orders and small-volume orders. Finally, feedback the analyzed reasons to further improve and optimize the cold chain management, including the following steps:

[0037] S411. When the order temperature exceeds the normal range due to unreasonable route planning, feedback the reason to the route planning step to optimize the route planning method. When the order temperature exceeds the normal range due to unreasonable packaging, feedback the reason to the commodity packaging step to optimize the commodity packaging;

[0038] When the order temperature exceeds the normal range due to the 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 small orders exceeds the cooling capacity of large orders, modify the preset order packaging volume range to optimize the order combination.

[0039] A cold chain management platform, which adopts a cold chain management method described in any one of the above, includes a user management unit, an order management unit, a matching unit, a distribution management unit, and a feedback unit;

[0040] The user management unit is responsible for the creation, permission allocation, and information maintenance of user accounts, and at the same time pushes relevant notifications about the status of user orders;

[0041] The order management unit conducts full-life cycle management of all cold chain orders in the platform, including order creation, status update, exception handling, and archiving;

[0042] The matching unit optimizes the resource allocation for cold chain orders to achieve efficient matching of orders and transportation resources;

[0043] The distribution management unit conducts route planning according to the delivery address and delivery time, and tracks the delivery process;

[0044] 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.

[0045] The beneficial effects of the present invention are as follows:

[0046] 1. By obtaining the order commodity category and quantity, and obtaining the packaging volume of the order commodity according to historical order data, the present invention can not only accurately obtain the accurate packaging volume, but also provide a strong basis for subsequent division of order sizes according to volume.

[0047] 2. By presetting the order packaging volume range and conducting combined distribution for orders in combination with temperature demand matching conditions and delivery address matching conditions, the present invention can have the following two advantages: First, through combined distribution, small-volume orders can rely on the self-cooling environment and packaging conditions of large-volume orders for transportation, significantly reducing the independent packaging cost and energy consumption, achieving the effect of improving the utilization rate of cold chain resources. At the same time, through the scale effect, the temperature stability can also be maintained, achieving the dual benefits of reducing transportation frequency and commodity freshness preservation, and providing a low-cost and high-reliability distribution solution for the goods in cold chain transportation; Second, by setting temperature demand matching conditions and delivery address matching conditions, not only the stability of cold chain transportation is ensured, avoiding the temperature of small-volume orders exceeding the range of large-volume orders, but also the efficiency of cold chain distribution is improved.

[0048] 3. The present invention screens the delivery time of the matched combination of orders, eliminates the matched combination where large-volume orders take precedence over small-volume orders, ensures that the delivery time of small-volume orders takes precedence over that of large-volume orders, and sets orders with similar times as the priority condition for matching, which can 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 goods damage, and avoid the problem that the refrigeration environment is lost for small-volume orders after the large-volume orders are transported.

[0049] 4. The present invention sets a profit-sharing coefficient for the orders eliminated due to mismatched delivery times, calculates the profit value according to the profit-sharing coefficient, and pushes equivalent preferential conditions to users, which can effectively improve the matching efficiency of order combinations. At the same time, the profit-sharing coefficient is dynamically adjusted according to the delivery time interval between two groups of orders, which can not only compensate the user's waiting cost and improve the matching rate, but also avoid excessive subsidies to control the expenditure of the cold chain platform.

[0050] 5. The present invention verifies the order temperature by collecting the order temperature data uploaded by the delivery staff, can more specifically analyze the reasons for the order temperature exceeding the range and give feedback, so as to further improve the cold chain management. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required to be used in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0052] Figure 1 is a flowchart of a cold chain management method according to an embodiment of the present invention;

[0053] Figure 2 is a module diagram of a cold chain management platform according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0054] To further illustrate the embodiments, the present invention provides drawings, which are part of the disclosure of the present invention. They are mainly used to illustrate the embodiments and can be combined with the relevant descriptions in the specification to explain the operating principles of the embodiments. With reference to these contents, those of ordinary skill in the art should be able to understand other possible implementation manners and the advantages of the present invention. The components in the drawings are not drawn to scale, and similar component symbols are usually used to represent similar components.

[0055] According to an embodiment of the present invention, a cold chain management platform and its management method are provided.

[0056] Now, the present invention will be further described in conjunction with the drawings and specific implementation manners, asFigure 1 - Figure 2 As shown in Figure 1 - Figure 2 , a cold chain management method according to an embodiment of the present invention includes the following steps:

[0057] S1. Receive order information, including product category, quantity of products, temperature requirements of products, delivery time of products, and delivery address;

[0058] S2. Obtain the order packaging volume based on the quantity of a single order, and match different orders in combination with the order temperature requirements, order delivery address, and order delivery time;

[0059] Further, obtaining the order packaging volume based on the quantity of a single order and matching different orders in combination with the order temperature requirements, order delivery address, and order delivery time includes the following steps:

[0060] S21. Obtain the product category and quantity of the order, and obtain the packaging volume of the order products based on the packaging volume of historical order data, and perform combined matching on orders with different volumes;

[0061] Further, S211. Obtain the product category, quantity of products, and packaging volume of historical order data, classify them according to the product category, and after the classification is completed, establish a relationship model between the quantity of products and the packaging volume in the historical data, and calculate the packaging volume of the existing order;

[0062] It should be noted that a category weighting model is established through historical data to calculate the packaging volume of the existing order. The formula is: Where V is the calculated packaging volume, n is the total number of different product categories in the order, i is the number of a specific product category, w i is the weight coefficient, corresponding to the volume contribution per unit quantity of each product i, and N is the quantity of product i.

[0063] S212. Preset the order packaging volume range, and divide the orders into large-volume orders and small-volume orders according to the preset order packaging volume range;

[0064] S213. Set temperature requirement matching conditions and delivery address matching conditions; the temperature requirement matching condition is that the temperature requirement of the small-volume order cannot exceed the temperature requirement of the large-volume order, and the delivery address matching condition is to preferentially match orders with a shorter distance; then match and combine the large-volume orders and small-volume orders according to the spatial volume of a single delivery;

[0065] It should be noted that combining the large-volume orders and small-volume orders for combined delivery and preferentially delivering the small-volume orders can improve the utilization rate of cold chain resources. In addition, relying on the stable refrigeration environment of the large order, the small-volume order can also reduce the independent packaging cost and achieve the effect of saving resources.

[0066] S22. Screen the delivery times of the orders in the matching combinations, and eliminate the matching combinations where large-volume orders take precedence over small-volume orders, ensuring that the delivery time of small-volume orders takes precedence over that of large-volume orders;

[0067] Furthermore, screen the delivery times of the orders in the matching combinations, eliminate the matching combinations where large-volume orders take precedence over small-volume orders, ensure that the delivery time of small-volume orders takes precedence over that of large-volume orders, and set the orders with similar times as the priority conditions for matching. The steps are as follows:

[0068] S221. Calculate the costs of separate delivery and combined delivery for the large-volume and small-volume orders of the screened orders, and calculate the difference between single delivery and combined delivery based on the costs. When the difference is negative, directly perform separate delivery. When the difference is positive, use the difference as the profit value;

[0069] Furthermore, calculate the costs of separate delivery and combined delivery for the large-volume and small-volume orders of the screened orders, and calculate the difference between single delivery and combined delivery based on the costs. When the difference is negative, directly perform separate delivery. When the difference is positive, the formula for using the difference as the profit value is:

[0070] ΔP = n l (C l -c l ) + n s (C s -c s ) - C f ;

[0071] Among them, ΔP is the calculated difference, n l is the number of large-volume orders, n s is the number of small-volume orders, C l is the separate delivery cost of a single large-volume order, C s is the separate delivery cost of a single small-volume order, c l is the average cost of a single large-volume order in combined delivery, c s is the average cost of a single small-volume order in combined delivery, C f is the fixed cost of combined delivery; when ΔP < 0, eliminate the combined delivery plan and directly perform separate delivery. When ΔP > 0, use the calculated difference as the profit value;

[0072] S222. Calculate the delivery time interval between the large-volume and small-volume orders of the screened orders, set the profit-sharing coefficient based on the obtained delivery time interval and profit value, and finally calculate the profit-sharing amount according to the profit-sharing coefficient to generate equivalent preferential conditions and push them to users to increase the order matching probability.

[0073] Further, calculate the delivery time interval between large-volume orders and small-volume orders in the screened orders, set a profit-sharing coefficient based on the obtained delivery time interval and profit value, and finally calculate the amount of profit sharing according to the profit-sharing coefficient to generate equivalent preferential conditions, which are pushed to users to increase the order matching probability, including the following steps:

[0074] S2221. Set the maximum amount of profit sharing not exceeding ΔP×k, where k is the profit-sharing coefficient and 1>k>0, and dynamically adjust the profit-sharing coefficient according to the order interval time by introducing a time decay function. The specific formula is:

[0075] k(t) = k m ·(1 - e -λt );

[0076] Among them, k(t) is the dynamically adjusted profit-sharing coefficient, and k m is the maximum profit-sharing coefficient, that is, the highest proportion of profit that can be shared for a single order, λ is the time decay rate, which controls the sensitivity of the profit-sharing coefficient to the increase in waiting time, and t is the order interval time;

[0077] S2222. Calculate the amount of profit sharing according to the obtained profit-sharing coefficient. The specific formula is:

[0078] W = ΔP·k(t)·S;

[0079] Among them, W is the calculated amount of profit sharing, and S is the order attribute weight;

[0080] S2223. Generate equivalent preferential conditions according to the calculated amount of profit sharing, and push the generated preferential conditions to users.

[0081] It should be noted that the generated preferential conditions include equivalent coupons, discount coupons, and full reduction coupons. Users can view the pushed preferential conditions and make reasonable selections by logging in to the user side of the platform; in addition, by pushing preferential conditions, the order matching probability can be effectively increased, so that under the premise of ensuring the profit margin, the cost control can be optimized;

[0082] It should be noted that by dynamically adjusting the profit-sharing coefficient to generate preferential push, users can be accurately motivated to accept flexible delivery times. Orders with longer intervals are compensated for waiting costs through higher profit sharing to increase the matching rate, and orders with shorter intervals reduce profit sharing to control costs. This strategy balances user satisfaction and platform resource efficiency, saves cold chain transportation, avoids over-subsidization, and can also enhance user retention through preferential stickiness.

[0083] S3. Generate order information, and then perform product packaging, route planning, and product delivery in sequence;

[0084] S4. Collect the order temperature data uploaded by the deliveryman at the time of delivery, verify whether the order temperature is within the normal range. When the order temperature exceeds the normal range, analyze the specific reasons and give feedback to further improve the cold chain management.

[0085] Further, collect the order temperature data uploaded by the deliveryman at the time of delivery, verify whether the order temperature is within the normal range. When the order temperature exceeds the normal range, analyze the specific reasons and give feedback to further improve the cold chain management, including the following steps:

[0086] S41. Collect the order temperature data uploaded by the deliveryman, 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 accidental reasons. The accidental reason is the extension of the delivery time caused by the personal factors of the deliveryman. The direct reasons include the extension of the delivery time caused by unreasonable planned routes, unreasonable packaging, and unreasonable combination of large-volume orders and small-volume orders. Finally, feedback the analyzed reasons to further improve and optimize the cold chain management.

[0087] It should be noted that traditional cold chain distribution usually does not perform temperature detection at the final end, so it is impossible to ensure that the temperature during the distribution period meets the requirements, resulting in the risk of cold chain order off-chain. Therefore, by verifying the temperature of the order goods at the terminal and giving feedback, the specific steps of cold chain management can be further improved, achieving the effect of strengthening cold chain management in multiple dimensions.

[0088] Further, analyze the specific reasons. The reasons are divided into direct reasons and accidental reasons. The accidental reason is the extension of the delivery time caused by the personal factors of the deliveryman. The direct reasons include the extension of the delivery time caused by unreasonable planned routes, unreasonable packaging, and unreasonable combination of large-volume orders and small-volume orders. Finally, feedback the analyzed reasons to further improve and optimize the cold chain management, including the following steps:

[0089] S411. When the order temperature exceeds the normal range due to unreasonable route planning, feedback the reason to the route planning step to optimize the route planning method. When the order temperature exceeds the normal range due to unreasonable packaging, feedback the reason to the commodity packaging step to optimize the commodity packaging;

[0090] S412. When the order temperature exceeds the normal range due to 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 small orders exceeds the cooling capacity of large orders, modify the preset order packaging volume range to optimize the order combination.

[0091] A cold chain management platform that adopts a cold chain management method of any one of the above, including a user management unit, an order management unit, a matching unit, a distribution management unit, and a feedback unit;

[0092] The user management unit is responsible for the creation of user accounts, permission allocation, and information maintenance, and at the same time pushes relevant notifications regarding the status of user orders;

[0093] The order management unit conducts full-life cycle management of all cold-chain orders within the platform, including order creation, status update, exception handling, and archiving;

[0094] The matching unit optimizes the resource allocation for cold-chain orders to achieve efficient matching of orders and transportation resources;

[0095] The distribution management unit plans the route according to the delivery address and delivery time, and tracks the distribution process;

[0096] The feedback unit conducts multi-dimensional analysis of cold-chain order data, generates feedback information, and improves the management of the cold-chain platform.

[0097] In summary, the present invention obtains the order commodity categories and quantities, and obtains the packaging volume of the order commodities based on historical order data. It can not only accurately obtain the accurate packaging volume, but also provide a strong basis for subsequent division of the order size according to the volume. By presetting the order packaging volume range and combining the temperature requirement matching condition and the delivery address matching condition for order combination delivery, the present invention has the following two advantages: First, through combined delivery, small-volume orders can rely on the self-cooling environment and packaging conditions of large-volume orders for transportation, significantly reducing the independent packaging cost and energy consumption, achieving the effect of improving the utilization rate of cold chain resources. At the same time, through the scale effect, the temperature stability can also be maintained, achieving the dual benefits of reducing the transportation frequency and preserving the freshness of commodities, and providing a low-cost and high-reliability delivery solution for the goods in cold chain transportation. Second, by setting the temperature requirement matching condition and the delivery address matching condition, both the stability of cold chain transportation is ensured, preventing the temperature of small-volume orders from exceeding the range of large-volume orders, and the cold chain delivery efficiency is improved. By screening the delivery time of the matched combined orders, eliminating the matching combinations where large-volume orders precede small-volume orders, ensuring that the delivery time of small-volume orders is prior to that of large-volume orders, and setting orders with similar times as the priority condition for matching can maximize the use of the stable cooling 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 the cooling environment of small-volume orders is lost after the delivery of large-volume orders is completed. By setting a profit-sharing coefficient for the orders eliminated due to mismatched delivery times and calculating the profit value according to the profit-sharing coefficient to generate equivalent preferential conditions and pushing them to users, the matching efficiency of order combination can be effectively improved. At the same time, the profit-sharing coefficient is dynamically adjusted according to the delivery time interval between two groups of orders, which can not only compensate the user's waiting cost to improve the matching rate, but also avoid excessive subsidies to control the expenditure of the cold chain platform. By collecting the order temperature data uploaded by the delivery staff and verifying the order temperature, the reason for the order temperature exceeding the range can be analyzed more specifically and feedback can be provided, achieving the role of further improving cold chain management.

[0098] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included in the protection scope of the present invention.

Claims

1. A cold chain management method, characterized in that, The method includes the following steps: S1. Receive order information, including commodity category, commodity quantity, commodity temperature requirement, commodity delivery time, and delivery address; S2. Obtain the order packaging volume according to the single order quantity, and match different orders in combination with the order temperature requirement, order delivery address, and order delivery time; S21. Obtain the order commodity category and quantity, and obtain the packaging volume of the order commodities according to the packaging volume of historical order data, and perform combined matching on orders of different volumes; S211. Obtain the commodity category, commodity quantity, and packaging volume of historical order data, classify them according to the commodity category, and after the classification is completed, establish a relationship model between the commodity quantity and the packaging volume in the historical data, and calculate the packaging volume of the existing order; S212. Preset the order packaging volume range, and divide the orders into large-volume orders and small-volume orders according to the preset order packaging volume range; S213. Set the temperature requirement matching condition and the delivery address matching condition; the temperature requirement matching condition is that the temperature requirement of the small-volume order cannot exceed the temperature requirement of the large-volume order, and the delivery address matching condition is to give priority to matching orders with a short distance; then match and combine the large-volume orders and small-volume orders according to the space volume of a single delivery; S22. Screen the delivery time of the matched and combined orders, and screen out the matching combinations where the large-volume orders take precedence over the small-volume orders, ensuring that the delivery time of the small-volume orders takes precedence over that of the large-volume orders; S3. Generate order information, and sequentially perform commodity packaging, route planning, and commodity delivery; S4. Collect the order temperature data uploaded by the deliveryman upon delivery, verify whether the order temperature is within the normal range, and when the order temperature exceeds the normal range, analyze the specific reasons and give feedback to further improve cold chain management.

2. The cold chain management method according to claim 1, characterized in that The screening of the delivery time of the matched and combined orders, screening out the matching combinations where the large-volume orders take precedence over the small-volume orders, ensuring that the delivery time of the small-volume orders takes precedence over that of the large-volume orders, and setting the orders with similar times as the priority condition for matching includes the following steps: S221. Calculate the costs of separate delivery and combined delivery of the large-volume orders and small-volume orders of the screened orders, and calculate the difference between single delivery and combined delivery according to the costs. When the difference is negative, directly perform separate delivery; when the difference is positive, use the difference as the profit value; S222. Calculate the delivery time interval between the large-volume orders and small-volume orders of the screened orders, set the profit-sharing distribution coefficient based on the obtained delivery time interval and profit value, and finally calculate the profit-sharing amount according to the profit-sharing distribution coefficient to generate equivalent preferential conditions and push them to the user to increase the order matching probability.

3. The cold chain management method according to claim 2, characterized in that, The formula for calculating the costs of separate delivery and combined delivery of the large-volume orders and small-volume orders of the screened orders, and calculating the difference between single delivery and combined delivery according to the costs. When the difference is negative, directly perform separate delivery; when the difference is positive, use the difference as the profit value is: ΔP = n l (C l -c l ) + n s (C s -c s ) - C f ; Among them, ΔP is the calculated difference, n l is the quantity of large-volume orders, n s is the quantity of small-volume orders, C l is the individual delivery cost of a single large-volume order, C s is the individual delivery cost of a single small-volume order, c l is the average cost per single large-volume order in combined delivery, c s is the average cost per single small-volume order in combined delivery, C f is the fixed cost of combined delivery; when ΔP < 0, the combined delivery plan is excluded and individual delivery is directly carried out. When ΔP > 0, the calculated difference is used as the profit value.

4. The cold chain management method according to claim 2, characterized in that, Calculating the delivery time interval between large-volume orders and small-volume orders of the screened orders, setting a profit-sharing coefficient based on the obtained delivery time interval and profit value, and finally calculating the amount of profit sharing according to the profit-sharing coefficient to generate equivalent preferential conditions and pushing them to users to increase the order matching probability includes the following steps: S2221. Set the upper limit of the profit-sharing amount not exceeding ΔP×k, where k is the profit-sharing coefficient and 1>k>0, and dynamically adjust the profit-sharing coefficient according to the order interval time by introducing a time decay function. The specific formula is: k(t) = k m ·(1 - e -λt ); Among them, k(t) is the profit-sharing coefficient that is dynamically adjusted, and k m is the maximum profit-sharing coefficient, that is, the highest proportion of profit that can be given for a single order. λ is the time decay rate, which controls the sensitivity of the profit-sharing coefficient to the increase in waiting time, and t is the interval time of the order. S2222. Calculate the amount of profit sharing according to the obtained profit-sharing coefficient. The specific formula is: W=ΔP·k(t)·S; where W is the calculated amount of profit sharing and S is the order attribute weight; S2223. Generate equivalent preferential conditions according to the calculated amount of profit sharing and push the generated preferential conditions to users.

5. A cold chain management method according to claim 1, characterized in that, Collecting the order temperature data uploaded by the deliveryman at the time of delivery, verifying whether the order temperature is within the normal range. When the order temperature exceeds the normal range, analyzing the specific reasons and giving feedback to further improve the cold chain management includes the following steps: S41. Collect the order temperature data uploaded by the deliveryman, 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 accidental reasons. The accidental reason is that the delivery time is extended due to the personal factors of the deliveryman. The direct reasons include that the planned route is unreasonable resulting in an extended delivery time, the packaging is unreasonable, and the combination of large-volume orders and small-volume orders is unreasonable. Finally, feedback the analyzed reasons to further improve and optimize the cold chain management.

6. A cold chain management method according to claim 5, characterized in that, Analyzing the specific reasons. The reasons are divided into direct reasons and accidental reasons. The accidental reason is that the delivery time is extended due to the personal factors of the deliveryman. The direct reasons include that the planned route is unreasonable resulting in an extended delivery time, the packaging is unreasonable, and the combination of large-volume orders and small-volume orders is unreasonable. Finally, feedback the analyzed reasons to further improve and optimize the cold chain management includes the following steps: S411. When the order temperature exceeds the normal range due to unreasonable route planning, feedback the reason to the route planning step to optimize the route planning method. When the order temperature exceeds the normal range due to unreasonable packaging, feedback the reason to the commodity packaging step to optimize the commodity packaging; S412. When the order temperature exceeds the normal range due to the unreasonable combination of large-volume orders and small-volume orders, verify the preset range of large-volume orders and the division range of small-volume orders. When the total cold quantity demand of small orders exceeds the cooling capacity of large orders, modify the preset order packaging volume range to optimize the order combination.

7. A cold chain management platform, characterized in that The platform adopts a cold chain management method as described in any one of claims 1-6, including a user management unit, an order management unit, a matching unit, a delivery management unit, and a feedback unit; The user management unit is responsible for the creation, permission allocation, and information maintenance of user accounts, and at the same time pushes relevant notifications about the user order status; The order management unit conducts full-life cycle management of all cold chain orders in the platform, including order creation, status update, exception handling, and archiving; The matching unit optimizes the resource allocation for cold chain orders to achieve efficient matching of orders and transportation resources; The distribution management unit conducts route planning based on the delivery address and delivery time and tracks the distribution process; The feedback unit conducts multi-dimensional analysis on cold chain order data, generates feedback information, and improves the management of the cold chain platform.

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