Shared cold chain infrastructure centralized management method
By calculating the shared risk characterization coefficient and terminal risk coefficient of cold chain goods, determining the risk of cold chain conflict and conflict level status, and selecting appropriate transportation management methods, the problem of inability to adaptively adjust the management of cold chain goods in the existing technology is solved, and the management efficiency and refinement of cold chain goods transportation is improved.
Patent Information
- Application Number
- CN202411456433.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-18
- Publication Date
- 2025-03-11
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The prior art cannot determine the ability of the goods themselves to resist temperature fluctuations based on the effective information of cold chain goods, and cannot adaptively adjust the transportation management methods of cold chain goods, affecting the effectiveness of shared cold chain infrastructure management.
By obtaining the basic information of each cargo transportation order during a single batch of transportation, calculating the shared risk characterization coefficient, determining the risk of cold chain sharing conflict, and calculating the terminal risk coefficient based on the basic transportation information, determining the conflict level status, and selecting appropriate transportation management methods.
It has realized the adjustment of transportation management methods based on the effective information adaptability of cold chain goods, improved the effectiveness of shared cold chain infrastructure management, and realized the refined and intelligent management of cold chain goods transportation.
Smart Images

Figure CN119599549A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of cold chain information management, and in particular to a method for centralized management of shared cold chain infrastructure. Background Art
[0002] The transportation and storage of frozen or refrigerated goods in the supply chain are sensitive to the environment. It is crucial to maintain an appropriate temperature range during transportation and storage. Cold chain transport vehicles are an important method for transporting cold chain goods and an important part of cold chain infrastructure. They are usually composed of storage compartments, smart sensors, alarms and other equipment. For actual cold chain logistics transportation, transporting cold chain goods from different customers in the same batch is an important means of controlling transportation costs. Shared cold chain transportation methods have emerged, but there is no mature solution to the problem that it is difficult to ensure the quality of shared cold chain goods during transportation due to differences in storage conditions of different cold chain goods and information about the goods themselves.
[0003] For example, the Chinese patent application: CN116579695A, which discloses a smart cold chain information management system based on multi-model algorithm optimization, relates to the field of cold chain information management technology, and adopts a technical solution that a high-precision GPS / INS combined navigation algorithm based on FRID-assisted optimization can improve the accuracy of vehicle positioning in the refrigerated truck management subsystem, ensure the safety of goods and refrigerated trucks in transit, and provide strong data support for cold chain distribution routes. The CW algorithm for split distribution optimization can reasonably allocate refrigerated vehicles according to system orders and automatically plan the optimal distribution route.
[0004] The prior art also has the following problems:
[0005] The existing technology does not take into account that fluctuations in transportation and storage temperatures caused by frequent unloading during transportation and excessively long single unloading time will affect the goods transported in the same batch in the shared cold chain. The existing technology cannot determine the ability of the goods themselves to resist temperature fluctuations based on the effective information of the cold chain goods, and cannot adaptively adjust the transportation management method of the cold chain goods, which affects the effectiveness of the management of the shared cold chain infrastructure and is not conducive to the refined management of the transportation of cold chain goods. Summary of the invention
[0006] To this end, the present invention provides a centralized management method for shared cold chain infrastructure to overcome the problems in the prior art that the ability of the cold chain goods to resist temperature fluctuations cannot be determined based on the effective information of the cold chain goods, and the transportation management method of the cold chain goods cannot be adaptively adjusted based on the ability of the goods to resist temperature fluctuations.
[0007] To achieve the above object, the present invention provides a method for centralized management of shared cold chain infrastructure, comprising:
[0008] Step S1: Obtaining basic warehousing information of each cargo transportation order during a single batch transportation process, wherein the basic warehousing information includes the cargo entry temperature, the cargo current temperature, and the storage time;
[0009] Step S2, screening the basic warehousing information to determine the cargo transportation order corresponding to the shortest storage time, and calling the basic warehousing information of the cargo transportation order to calculate the shared risk characterization coefficient to determine whether there is a cold chain sharing conflict risk in the single batch transportation process;
[0010] Step S3: obtaining basic transportation information of each cargo transportation order in the single batch transportation process to calculate a terminal risk coefficient, and determining the conflict level status of the single batch transportation process based on the terminal risk coefficient, wherein the basic transportation information includes the number of unloading times and the required unloading location required in the single batch transportation process;
[0011] Step S4: selecting a transportation management method for the single batch transportation process based on the conflict level status, including:
[0012] Determine the main influencing order according to the cargo volume of each cargo transportation order, and determine the route end point of the single batch transportation route according to the required unloading location corresponding to the main influencing order;
[0013] Alternatively, key conflicting orders are determined according to the difference in cargo quantity between each cargo transportation order and other cargo transportation orders, and during the single batch transportation process, only the key conflicting orders are delivered separately.
[0014] Furthermore, in step S2, the shared risk characterization coefficient is calculated according to formula (1):
[0015]
[0016] In formula (1), G is the shared risk characterization coefficient, T a is the storage temperature of the goods, T b is the current temperature of the goods, t is the storage time, and t0 is the preset storage time threshold.
[0017] Furthermore, in step S2, the process of determining whether there is a cold chain sharing conflict risk in the single batch transportation process is as follows:
[0018] The shared risk characterization coefficient is compared with a preset shared risk characterization coefficient threshold,
[0019] If the shared risk characterization coefficient is greater than the shared risk characterization coefficient threshold, it is determined that there is a cold chain sharing conflict risk in the single batch transportation process.
[0020] Furthermore, the step S3 also includes determining the interval distance between the required unloading position of each cargo transport order and the required unloading positions of other cargo transport orders based on the required unloading position of each cargo transport order in the single batch transportation process, and calculating the average interval distance of several of the interval distances.
[0021] Furthermore, in step S3, the terminal risk coefficient is calculated according to formula (2):
[0022]
[0023] In formula (2), R is the terminal risk coefficient, N i is the required number of unloading times, N0 is the preset reference value of the number of unloading times, d av is the average value of the interval distance, d0 is the preset reference value of the interval distance, μ is the weight coefficient of the number of unloading times, η is the weight coefficient of the interval distance, μ+η=1, and e is a constant.
[0024] Furthermore, in step S3, the process of determining the conflict level status of the single batch transportation process is as follows:
[0025] Compare the terminal risk coefficient with a preset terminal risk coefficient comparison value,
[0026] If the terminal risk coefficient is less than or equal to the terminal risk coefficient comparison value, the conflict level state of the single batch transportation process is determined to be a weak dominant conflict level state;
[0027] If the terminal risk coefficient is greater than the terminal risk coefficient comparison value, the conflict level state of the single batch transportation process is determined to be a strong dominant conflict level state.
[0028] Furthermore, in step S4, the process of selecting the transportation management method for the single batch transportation process is:
[0029] If it is determined that the single batch transportation process is in a weak dominant conflict level state, the main influencing orders are determined according to the cargo volume of each cargo transportation order, and the route end point of the single batch transportation route is determined according to the required unloading location corresponding to the main influencing order;
[0030] If the single batch transportation process is determined to be in a strong explicit conflict level state, key conflicting orders are determined based on the difference in cargo quantity between each cargo transportation order and the remaining cargo transportation orders. During the single batch transportation process, only the key conflicting orders are delivered separately.
[0031] Furthermore, in step S4, the process of determining the main influencing order is:
[0032] The cargo volume of each cargo transportation order is obtained, and the cargo transportation order with the largest cargo volume is determined as the main influencing order.
[0033] Furthermore, in step S4, the process of determining the key affected goods is:
[0034] Obtain the cargo volume of each cargo transportation order and the cargo volume of all cargo transportation orders, calculate the proportion of the cargo volume of each cargo transportation order to the cargo volume of all cargo transportation orders, and compare the proportion with a preset proportion threshold.
[0035] If the proportion is less than or equal to the proportion threshold, the cargo transportation order corresponding to the maximum proportion is selected as the key influencing order;
[0036] If the proportion is greater than the proportion threshold, the corresponding cargo transportation order is determined as a key impact order.
[0037] Furthermore, the information associated with the cargo transportation order includes the basic warehousing information, the basic transportation information and the cargo quantity.
[0038] Compared with the prior art, the beneficial effect of the present invention lies in that the present invention obtains the basic warehousing information of each cargo transportation order during a single batch transportation process, determines the basic warehousing information of the cargo transportation order corresponding to the shortest in-warehouse time, calculates the shared risk characterization coefficient, and determines whether there is a cold chain sharing conflict risk in the single batch transportation process. The terminal risk coefficient is calculated through the basic transportation information of each cargo transportation order to determine the conflict level status of the single batch transportation process, and selects the transportation management method for the single batch transportation process according to the conflict level status. Furthermore, it realizes the determination of the ability of the cold chain goods to resist temperature fluctuations according to the effective information of the cold chain goods, and adaptively adjusts the transportation management method of the cold chain goods according to the ability of the goods to resist temperature fluctuations, thereby improving the effectiveness of the management of shared cold chain infrastructure and realizing the refined and intelligent management of cold chain goods transportation.
[0039] In particular, the present invention calculates the shared risk characterization coefficient by calling the basic information of the incoming warehouse of the cargo transportation order corresponding to the shortest in-warehouse time. In the actual single-batch transportation process of shared cold chain cargo, the cold chain cargo that needs to be shipped out of the warehouse enters the cold storage for different storage times. Some cold chain cargo has a longer storage time, and its own temperature has been kept stable within the ideal storage temperature range. Some cold chain cargo has a shorter in-warehouse time, and the temperature fluctuation caused by transportation has not yet stabilized the temperature of the cargo itself within the ideal storage temperature range. The present invention realizes the effective extraction of cold chain cargo data by calling the cargo entry temperature, current temperature and in-warehouse time of the cargo with the shortest in-warehouse time for comprehensive calculation, and the data intuitively reflects the ability of the cargo itself to resist temperature fluctuations.
[0040] In particular, the present invention obtains the basic transportation information of each cargo transportation order during a single batch transportation process to calculate the terminal risk coefficient. In the actual single batch transportation process of shared cold chain cargo, if there are cold chain cargoes in the same batch that have poor ability to resist temperature fluctuations, the cold chain cargoes transported together in the same batch need to be unloaded multiple times, resulting in frequent temperature fluctuations during transportation. The smaller the average value of the interval distance of the required unloading positions of the cargoes transported in the same batch, the more frequent the unloading is required, and the greater the impact on the temperature fluctuation during transportation. The present invention combines the required number of unloading times and the average value of the interval distance of the required unloading to achieve effective extraction of obvious characteristic data in the single batch transportation process of shared cold chain transportation, and intuitively characterizes the characteristics of cargo transportation orders of shared cold chain cargo.
[0041] In particular, the present invention determines the transportation management mode for a single batch transportation process according to the conflict level status. In the actual single batch transportation process of shared cold chain goods, the different characteristics of each cargo transportation order cause different degrees of temperature disturbance impact on the single batch transportation process. Different transportation management modes are adaptively selected, which improves the effectiveness of shared cold chain infrastructure management and realizes refined and intelligent management of cold chain cargo transportation.
[0042] In particular, the present invention determines the main influencing orders according to the cargo quantity of each cargo transportation order, and determines the route end point of the single batch transportation route according to the required unloading position corresponding to the main influencing order. When the temperature disturbance caused by the characteristics of each cargo transportation order has a relatively small impact on the single batch transportation process, the larger the cargo quantity of the cargo transportation order, the longer the required unloading time. Long time unloading is likely to cause temperature fluctuations in the storage box of the transport vehicle. Therefore, the required unloading position corresponding to the cargo transportation order with the largest cargo quantity needs to be determined as the route end point of the single batch transportation route. This can avoid the impact of long time unloading on the same batch of shared cold chain transportation goods, and further, realize the adaptive selection of different transportation management methods, improve the effectiveness of shared cold chain infrastructure management, and realize the refined and intelligent management of cold chain cargo transportation.
[0043] In particular, the present invention determines the key influencing orders and only delivers the key influencing orders separately during a single batch of transportation. When the characteristics of each cargo transportation order cause a significant impact on the temperature disturbance during a single batch of transportation, the greater the proportion of the cargo volume of each cargo transportation order, the longer the required unloading time, and the more representative the impact on the transportation of the same batch of cold chain cargo is. It is necessary to deliver the cargo whose proportion exceeds the preset proportion threshold or is relatively large separately to reduce the impact of its long unloading time on the temperature fluctuation of other transported cargo in the same batch, thereby realizing the adaptive selection of different transportation management methods, improving the effectiveness of the management of shared cold chain infrastructure, and realizing the refined and intelligent management of cold chain cargo transportation. BRIEF DESCRIPTION OF THE DRAWINGS
[0044] Figure 1 A diagram showing the steps of a method for centralized management of a shared cold chain infrastructure according to an embodiment of the present invention;
[0045] Figure 2 A logic flow chart for determining whether there is a cold chain sharing conflict risk in a single batch transportation process according to an embodiment of the present invention;
[0046] Figure 3 A logic flow chart for determining the conflict level status of a single batch transportation process according to an embodiment of the present invention;
[0047] Figure 4 The present invention is a logical flow chart for selecting a transportation management method for a single batch transportation process according to an embodiment of the present invention. DETAILED DESCRIPTION
[0048] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.
[0049] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.
[0050] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.
[0051] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.
[0052] See also Figure 1 As shown, it is a step diagram of a method for centralized management of a shared cold chain infrastructure according to an embodiment of the present invention. The method for centralized management of a shared cold chain infrastructure according to the present invention includes:
[0053] Step S1: Obtaining basic warehousing information of each cargo transportation order during a single batch transportation process, wherein the basic warehousing information includes the cargo entry temperature, the cargo current temperature, and the storage time;
[0054] Step S2, screening the basic warehousing information to determine the cargo transportation order corresponding to the shortest storage time, and calling the basic warehousing information of the cargo transportation order to calculate the shared risk characterization coefficient to determine whether there is a cold chain sharing conflict risk in the single batch transportation process;
[0055] Step S3: obtaining basic transportation information of each cargo transportation order in the single batch transportation process to calculate a terminal risk coefficient, and determining the conflict level status of the single batch transportation process based on the terminal risk coefficient, wherein the basic transportation information includes the required number of unloading times and the required unloading location in the single batch transportation process;
[0056] Step S4: selecting a transportation management method for the single batch transportation process based on the conflict level status, including:
[0057] Determine the main influencing order according to the cargo volume of each cargo transportation order, and determine the route end point of the single batch transportation route according to the required unloading location corresponding to the main influencing order;
[0058] Alternatively, the key conflicting orders are determined according to the difference in cargo quantity between each cargo transportation order and the remaining cargo transportation orders, and during the single batch transportation process, only the key conflicting orders are delivered separately.
[0059] Specifically, in an embodiment of the present invention, data information of the RFID tag of the cold chain goods can be stored and read when the cold chain goods enter and leave the warehouse. The RFID tag of the cold chain goods can store data information such as the goods entry temperature, the current temperature of the goods, the length of time in the warehouse, and the associated goods transportation orders. The RFID tag of the cold chain goods is widely used in goods warehousing, transportation and traceability, which will not be repeated here.
[0060] Specifically, the present invention does not limit the method of obtaining the required number of unloading times and the required unloading location for a single batch transportation process based on the cargo transportation order. In the prior art, the cargo transportation order obtained by the logistics platform includes the specific required unloading location of each cargo transportation order. The required number of unloading times is counted based on the required unloading location information, and the interval distance of the required unloading location of each cargo transportation order is calculated. This technology has been maturely applied in navigation maps and will not be repeated here.
[0061] Specifically, see Figure 2 As shown, it is a logic flow chart of determining whether there is a cold chain sharing conflict risk in a single batch transportation process according to an embodiment of the present invention. In step S2, the sharing risk characterization coefficient is calculated according to formula (1):
[0062]
[0063] In formula (1), G is the shared risk characterization coefficient, T a is the temperature at which the goods enter the warehouse, T b is the current temperature of the goods, t is the storage time, and t0 is the preset storage time threshold.
[0064] Preferably, in the embodiment of the present invention, the storage time threshold t0 is obtained based on a pre-test. Those skilled in the art can pre-test multiple times and record the time required for various types of cold chain goods to reach a reasonable storage temperature at different goods storage temperatures, and calculate the average of several recorded time lengths, and determine the average as the storage time threshold t0 of such cold chain goods. For example, the goods storage temperature T a = The required storage time range for shrimp cargo with a temperature of -15℃ is [2,3], the interval unit is h, and t0=2.5h can be selected.
[0065] Specifically, the present invention calculates the shared risk characterization coefficient by calling the basic information of the goods transportation order corresponding to the shortest storage time. In the actual single-batch transportation process of shared cold chain goods, the cold chain goods that need to be shipped out of the warehouse enter the cold storage for different storage times. Some cold chain goods have a long storage time, and their own temperature has been kept stable within the ideal storage temperature range. Some cold chain goods have a short storage time, and the temperature fluctuations caused by transportation have not yet stabilized the temperature of the goods themselves within the ideal storage temperature range. The present invention calls the goods' storage temperature, current temperature and storage time of the goods with the shortest storage time for comprehensive calculation, thereby achieving effective extraction of cold chain goods data, and the data intuitively reflects the ability of the goods themselves to resist temperature fluctuations.
[0066] Specifically, in step S2, the process of determining whether there is a cold chain sharing conflict risk in the single batch transportation process is as follows:
[0067] The shared risk characterization coefficient G is compared with a preset shared risk characterization coefficient threshold G0,
[0068] If the shared risk characterization coefficient G is less than or equal to the shared risk characterization coefficient threshold G0, it is determined that there is no cold chain sharing conflict risk in the single batch transportation process;
[0069] If the shared risk characterization coefficient G is greater than the shared risk characterization coefficient threshold G0, it is determined that there is a cold chain sharing conflict risk in the single batch transportation process.
[0070] Preferably, in an embodiment of the present invention, the value range of the shared risk characterization coefficient threshold G0 is [1.25, 1.5], and the interval unit is ℃ / h.
[0071] Specifically, the step S3 further includes determining the interval distance between the required unloading location of each cargo transport order and the required unloading locations of other cargo transport orders based on the required unloading location of each cargo transport order in the single batch transport process, and calculating the average interval distance d of the plurality of interval distances. av .
[0072] Specifically, see Figure 3 As shown, in step S3, the terminal risk coefficient is calculated according to formula (2):
[0073]
[0074] In formula (2), R is the terminal risk coefficient, N i is the required number of unloading times, N0 is the preset reference value of the number of unloading times, d avis the average value of the interval distance, d0 is the preset reference value of the interval distance, μ is the weight coefficient of the number of unloading times, η is the weight coefficient of the interval distance, μ+η=1, and e is a constant.
[0075] Preferably, in the embodiment of the present invention, the unloading times reference value N0 is calculated based on a pre-test, and the average value of the unloading times required for several times of the same amount of goods is pre-recorded, and the average value is determined as the unloading times reference value N0, and the interval distance reference value d0 is based on the total route mileage d of the single batch transportation route. s Determine, d0 = ε × d s , where ε is the reference value determination factor of the interval distance, and the value range of ε is [0.05, 0.2].
[0076] Specifically, the present invention obtains the basic transportation information of each cargo transportation order during a single batch transportation process to calculate the terminal risk coefficient. In the actual single batch transportation process of shared cold chain cargo, if there are cold chain cargoes in the same batch that have poor ability to resist temperature fluctuations, the cold chain cargoes transported together in the same batch need to be unloaded multiple times, resulting in frequent temperature fluctuations during transportation. The smaller the average value of the interval distance of the required unloading positions of the cargoes transported in the same batch, the more frequent the unloading is required, and the greater the impact on temperature fluctuations during transportation. The present invention combines the required number of unloading times and the average value of the interval distance of the required unloading to achieve effective extraction of obvious characteristic data in the single batch transportation process of shared cold chain transportation, and intuitively characterizes the characteristics of cargo transportation orders of shared cold chain cargo.
[0077] Specifically, in step S3, the process of determining the conflict level status of the single batch transportation process is as follows:
[0078] The terminal risk coefficient R is compared with the preset terminal risk coefficient R a For comparison,
[0079] If the terminal risk factor R a Less than or equal to the terminal risk coefficient comparison value R a , then the conflict level state of the single batch transportation process is determined to be a weak dominant conflict level state;
[0080] If the terminal risk coefficient R is greater than the terminal risk coefficient comparison value R a , then the conflict level state of the single batch transportation process is determined to be a strong dominant conflict level state.
[0081] Preferably, in the embodiment of the present invention, the terminal risk coefficient comparison value R a The value range is [1.35, 1.4].
[0082] Specifically, see Figure 4 As shown, it is a logical flow chart of selecting a transportation management method for a single batch transportation process according to an embodiment of the present invention. In step S4, the process of selecting a transportation management method for the single batch transportation process is as follows:
[0083] If it is determined that the single batch transportation process is in a weak dominant conflict level state, the main influencing orders are determined according to the cargo volume of each cargo transportation order, and the route end point of the single batch transportation route is determined according to the required unloading location corresponding to the main influencing order;
[0084] If the single batch transportation process is determined to be in a strong explicit conflict level state, key conflicting orders are determined based on the difference in cargo quantity between each cargo transportation order and the remaining cargo transportation orders. During the single batch transportation process, only the key conflicting orders are delivered separately.
[0085] Specifically, the present invention determines the transportation management mode for a single batch transportation process according to the conflict level status. In the actual single batch transportation process of shared cold chain goods, the different characteristics of each cargo transportation order cause different degrees of temperature disturbance impact on the single batch transportation process. Different transportation management modes are adaptively selected to improve the effectiveness of shared cold chain infrastructure management and realize refined and intelligent management of cold chain cargo transportation.
[0086] Specifically, in step S4, the process of determining the main influencing order is:
[0087] The cargo volume of each cargo transportation order is obtained, and the cargo transportation order with the largest cargo volume is determined as the main influencing order.
[0088] Specifically, the present invention determines the main influencing orders according to the cargo quantity of each cargo transportation order, and determines the route end point of the single batch transportation route according to the required unloading position corresponding to the main influencing order. When the temperature disturbance caused by the characteristics of each cargo transportation order has a small impact on the single batch transportation process, the larger the cargo quantity of the cargo transportation order, the longer the required unloading time. Long time unloading is likely to cause temperature fluctuations in the storage box of the transport vehicle. Therefore, the required unloading position corresponding to the cargo transportation order with the largest cargo quantity needs to be determined as the route end point of the single batch transportation route. This can avoid the impact of long time unloading on the same batch of shared cold chain transportation goods, and further, realize the adaptive selection of different transportation management methods, improve the effectiveness of shared cold chain infrastructure management, and realize the refined and intelligent management of cold chain cargo transportation.
[0089] Specifically, in step S4, the process of determining the key affected goods is as follows:
[0090] The cargo volume of each cargo transport order and the cargo volume of all cargo transport orders are obtained, the proportion of the cargo volume of each cargo transport order to the cargo volume of all cargo transport orders is calculated, and the proportion k is compared with a preset proportion threshold k0.
[0091] If the proportion k is less than or equal to the proportion threshold k0, the cargo transportation order corresponding to the maximum proportion is selected as the key influencing order;
[0092] If the proportion k is greater than the proportion threshold k0, the corresponding cargo transportation order is determined as a key impact order.
[0093] Preferably, in the embodiment of the present invention, the value range of the proportion threshold k0 is [0.25, 0.35].
[0094] Specifically, the present invention determines the key influencing orders and only delivers the key influencing orders separately during a single batch of transportation. When the characteristics of each cargo transportation order cause a significant impact on the temperature disturbance of a single batch of transportation, the greater the proportion of the cargo volume of each cargo transportation order, the longer the required unloading time, and the more representative the impact on the transportation of the same batch of cold chain cargo is. It is necessary to deliver the cargo whose proportion exceeds the preset proportion threshold or is relatively large separately to reduce the impact of its long unloading time on the temperature fluctuation of other transported cargo in the same batch, thereby realizing the adaptive selection of different transportation management methods, improving the effectiveness of shared cold chain infrastructure management, and realizing refined and intelligent management of cold chain cargo transportation.
[0095] Specifically, the information associated with the cargo transportation order includes the basic warehousing information, the basic transportation information and the cargo quantity.
[0096] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.
[0097] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.
Claims
1. A method for centralized management of shared cold chain infrastructure, characterized in that: include: Step S1: Obtaining basic warehousing information of each cargo transportation order during a single batch transportation process, wherein the basic warehousing information includes the cargo entry temperature, the cargo current temperature, and the storage time; Step S2, screening the basic warehousing information to determine the cargo transportation order corresponding to the shortest storage time, and calling the basic warehousing information of the cargo transportation order to calculate the shared risk characterization coefficient to determine whether there is a cold chain sharing conflict risk in the single batch transportation process; Step S3: obtaining basic transportation information of each cargo transportation order in the single batch transportation process to calculate a terminal risk coefficient, and determining the conflict level status of the single batch transportation process based on the terminal risk coefficient, wherein the basic transportation information includes the required number of unloading times and the required unloading location in the single batch transportation process; Step S4: selecting a transportation management method for the single batch transportation process based on the conflict level status, include, Determine the main influencing order according to the cargo volume of each cargo transportation order, and determine the route end point of the single batch transportation route according to the required unloading location corresponding to the main influencing order; Alternatively, the key conflicting orders are determined according to the difference in cargo quantity between each cargo transportation order and the remaining cargo transportation orders, and during the single batch transportation process, only the key conflicting orders are delivered separately.
2. The method for centralized management of shared cold chain infrastructure according to claim 1, characterized in that: In step S2, the shared risk characterization coefficient is calculated according to formula (1): In formula (1), G is the shared risk characterization coefficient, T a is the temperature at which the goods enter the warehouse, T b is the current temperature of the goods, t is the storage time, and t0 is the preset storage time threshold.
3. The method for centralized management of shared cold chain infrastructure according to claim 2, characterized in that: In step S2, the process of determining whether there is a risk of cold chain sharing conflict in the single batch transportation process is as follows: The shared risk characterization coefficient is compared with a preset shared risk characterization coefficient threshold, If the shared risk characterization coefficient is greater than the shared risk characterization coefficient threshold, it is determined that there is a cold chain sharing conflict risk in the single batch transportation process.
4. The method for centralized management of shared cold chain infrastructure according to claim 1, characterized in that: The step S3 also includes determining the interval distance between the required unloading location of each cargo transport order and the required unloading locations of other cargo transport orders based on the required unloading location of each cargo transport order during the single batch transportation process, and calculating the interval distance average of several of the interval distances.
5. The method for centralized management of shared cold chain infrastructure according to claim 4, characterized in that: In step S3, the terminal risk coefficient is calculated according to formula (2): In formula (2), R is the terminal risk coefficient, N i is the required number of unloading times, N0 is the preset reference value of the number of unloading times, d av is the average value of the interval distance, d0 is the preset reference value of the interval distance, μ is the weight coefficient of the number of unloading times, η is the weight coefficient of the interval distance, and e is a constant.
6. The method for centralized management of shared cold chain infrastructure according to claim 5, characterized in that: In step S3, the process of determining the conflict level status of the single batch transportation process is as follows: Compare the terminal risk coefficient with a preset terminal risk coefficient comparison value, If the terminal risk coefficient is less than or equal to the terminal risk coefficient comparison value, the conflict level state of the single batch transportation process is determined to be a weak dominant conflict level state; If the terminal risk coefficient is greater than the terminal risk coefficient comparison value, the conflict level state of the single batch transportation process is determined to be a strong dominant conflict level state.
7. The method for centralized management of shared cold chain infrastructure according to claim 6, characterized in that: In step S4, the process of selecting the transportation management method for the single batch transportation process is: If it is determined that the single batch transportation process is in a weak dominant conflict level state, the main influencing orders are determined according to the cargo volume of each cargo transportation order, and the route end point of the single batch transportation route is determined according to the required unloading location corresponding to the main influencing order; If the single batch transportation process is determined to be in a strong explicit conflict level state, key conflicting orders are determined based on the difference in cargo quantity between each cargo transportation order and the remaining cargo transportation orders. During the single batch transportation process, only the key conflicting orders are delivered separately.
8. The method for centralized management of shared cold chain infrastructure according to claim 7, characterized in that: In step S4, the process of determining the main influencing order is: The cargo volume of each cargo transportation order is obtained, and the cargo transportation order with the largest cargo volume is determined as the main influencing order.
9. The method for centralized management of shared cold chain infrastructure according to claim 7, characterized in that: In step S4, the process of determining the key impact goods is as follows: Obtain the cargo volume of each cargo transportation order and the cargo volume of all cargo transportation orders, calculate the proportion of the cargo volume of each cargo transportation order to the cargo volume of all cargo transportation orders, and compare the proportion with a preset proportion threshold. If the proportion is less than or equal to the proportion threshold, the cargo transportation order corresponding to the maximum proportion is selected as the key influencing order; If the proportion is greater than the proportion threshold, the corresponding cargo transportation order is determined as a key impact order.
10. The method for centralized management of shared cold chain infrastructure according to claim 1, characterized in that: The information associated with the cargo transportation order includes the basic warehousing information, the basic transportation information and the cargo quantity.
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