A method and system for managing an overseas warehouse split shipment transfer plan

Abstract

The application relates to the technical field of data management, and particularly discloses a method and system for managing a split-shipment transfer plan of an overseas warehouse, which marks a complex split-shipment transfer plan path of the overseas warehouse as a transfer path and subdivides the transfer path into multiple transfer sub-paths, so that the whole transfer process is clearly presented, macro and micro control is facilitated, and management efficiency and precision are greatly improved. In the transfer process, environment parameters of the transfer sub-paths are acquired in real time, especially important indexes of cold chain transportation, which build a defense line for the quality and safety of cold chain goods. Meanwhile, the transfer state of the target goods is continuously monitored, management process parameters are accurately acquired, and whether the transfer process needs to be optimized and adjusted is automatically determined according to the data, for example, dynamic adjustment of the operation of refrigeration equipment. Once potential risks are found, transfer early warning feedback is triggered, so that management personnel can respond quickly, and the safety and quality of the cold chain goods are effectively guaranteed.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data management, in particular to a method and system for planning the distribution of goods to an overseas warehouse. BACKGROUND

[0002] With the rapid development of cross-border e-commerce industry, overseas warehouses, as a key link in the cross-border e-commerce logistics system, have become increasingly important. The substantial growth in cross-border e-commerce business has made it difficult for traditional logistics models to meet the demand for fast, efficient, and low-cost delivery. At the same time, the application of Internet of Things technology in goods distribution is gradually deepening. By integrating sensors and other devices during transportation, real-time tracking and monitoring of goods can be achieved.

[0003] For example, the invention patent with the announcement number CN116205556B discloses a cold chain food logistics and storage management system based on the Internet. The present application screens the environmental temperature of the cargo compartment of the refrigerated transport vehicle and continuously monitors the temperature inside the cargo compartment during transportation to ensure that the quality of the cold chain food is not affected by temperature changes during transportation. When storing cold chain food, the environmental temperature of the refrigerated warehouse is also screened to ensure the quality of the cold chain food during storage in the warehouse. Through dynamic analysis of the refrigerated warehouse, the refrigerated transport vehicle can timely select a warehouse with suitable environment and sufficient capacity as the final destination. In addition, the warehouse is further screened according to the secondary distribution location of the cold chain food, further shortening the time consumption of cold chain food transportation.

[0004] For example, the invention patent with the publication number CN116433149A discloses a method for finished product warehouse operation management, a finished product warehouse management system, and a storage medium. The method is applied to the finished product warehouse management system, which communicates with the manufacturing execution system and includes multiple transfer devices. The method includes receiving a job plan sent by the manufacturing execution system, obtaining state information of the multiple transfer devices, determining the job type of the job plan, determining whether the job plan meets the execution condition based on the job type and the state information of the multiple transfer devices, determining the target transfer device of the job plan and generating a scheduling instruction through an intelligent algorithm if the job plan meets the execution condition, controlling the target transfer device to execute the scheduling instruction, and feeding back the execution result of the scheduling instruction to the manufacturing execution system.

[0005] However, in the process of implementing the embodiments of the present application, the present application found that the above-mentioned technology at least has the following technical problems: in the tracking and monitoring of goods, the existing technology monitors based on real-time data, which makes it impossible to adjust the transportation path or storage strategy in advance according to historical weather data, real-time weather warnings, or future weather forecasts, thus the intelligent path planning capability is low. SUMMARY

[0006] In view of the deficiencies of the prior art, the application provides a kind of overseas warehouse sub cargo transfer plan management method and system, can effectively solve the problems involved in the above background art.

[0007] To achieve the above object, the application is implemented by the following technical solutions: the first aspect of the application provides a kind of overseas warehouse sub cargo transfer plan management method, comprising: step one, the overseas warehouse sub cargo transfer plan path is marked as transfer path, and is divided into several transfer sub paths, the environment parameters of the transfer sub path are obtained, and the transfer process of the target cargo is managed;Step two, the transfer process of the target cargo is monitored, the management process parameters are obtained, and it is judged whether the transfer process of the target cargo is optimized and adjusted;Step three, based on the optimization and adjustment of the transfer process of the target cargo, the transfer early warning feedback of the target cargo is carried out.

[0008] As a further method, the transfer process of the target cargo is managed, and the specific management process is: the starting position point of the overseas warehouse sub cargo is obtained, which is marked as the starting point, the overseas warehouse sub cargo transfer plan termination position point is obtained, which is marked as the target terminal, the expected overseas warehouse sub cargo transfer plan path between the starting point and the target terminal is recorded as the transfer path, and the target cargo is transferred along the transfer path;The environment parameters of the first transfer sub path are obtained and analyzed, the environment robustness index of the first transfer sub path is obtained, the historical prediction environment robustness index of the first transfer sub path is obtained, and is compared with the environment robustness index of the first transfer sub path, if the environment robustness index of the first transfer sub path is greater than or equal to the historical prediction environment robustness index of the first transfer sub path, the environment robustness index of the second transfer sub path is predicted, and is compared with the environment robustness threshold, so as to manage the transfer process of the target cargo on the second transfer sub path.

[0009] As a further method, the transfer process of the target cargo on the second transfer sub path is managed, and the specific analysis process is: if the environment robustness index of the second transfer sub path is greater than or equal to the environment robustness threshold, the transfer process of the target cargo on the second transfer sub path is not managed;If the environment robustness index of the second transfer sub path is less than the environment robustness threshold, the environment robustness deviation factor of the second transfer sub path is obtained, and is compared with the environment robustness deviation threshold, if the environment robustness deviation factor of the second transfer sub path is less than the environment robustness deviation threshold, the compressor frequency of the transfer equipment is predicted to increase based on the environment robustness deviation factor of the second transfer sub path;If the environment robustness deviation factor of the second transfer sub path is greater than or equal to the environment robustness deviation threshold, the current position point of the transfer equipment is marked as a new starting point, the second transfer sub path of the new starting point and the target terminal is re-planned, and instruction feedback is carried out.

[0010] As a further method, the management target goods in the first sub-path of the transport process, the specific management process is: the quality coefficient of the target goods is obtained, and compared with the quality threshold value, if the quality coefficient of the target goods is greater than or equal to the quality threshold value, the target goods in the first sub-path of the transport process is not managed; if the quality coefficient of the target goods is less than the quality threshold value, the quality deviation value of the target goods is obtained, and compared with the quality deviation threshold value, if the quality deviation value of the target goods is less than the quality deviation threshold value, the compressor frequency of the transport equipment is increased based on the quality deviation value of the target goods Adjust, at the same time, the transport process of the target goods is monitored; if the quality deviation value of the target goods is greater than or equal to the quality deviation threshold value, the compressor frequency and the expansion valve opening of the transport equipment are increased based on the quality deviation value of the target goods Adjust, at the same time, the target goods are transported early warning feedback.

[0011] As a further method, it is determined whether to optimize the adjustment of the transport process of the target goods, and the specific determination process is: the management process parameters include the quality coefficient of the target goods at the end time point of the adjustment monitoring period and the quality coefficient of the target goods at the beginning time point of the adjustment monitoring period, the quality improvement ratio of the target goods in the adjustment monitoring period is obtained; if the quality improvement ratio of the target goods in the adjustment monitoring period is greater than or equal to the defined quality improvement ratio, it is determined that the transport process of the target goods is not optimized, if the quality improvement ratio of the target goods in the adjustment monitoring period is less than the defined quality improvement ratio, it is determined that the transport process of the target goods is optimized, and the specific optimization adjustment process is: based on the quality improvement ratio of the target goods in the adjustment monitoring period, the compressor frequency of the transport equipment is increased twice, and based on the quality improvement ratio of the target goods in the adjustment monitoring period, the expansion valve opening is increased.

[0012] As a further method, the target goods are transported early warning feedback, and the specific early warning feedback includes: obtaining the adaptation index of each candidate warehouse, and sequentially sorting according to the order from large to small, extracting the candidate warehouse corresponding to the first ranking adaptation index, and marking it as the target candidate warehouse, positioning the position point of the target candidate warehouse, and marking it as the target terminal point again, collecting the current position point of the transport equipment, re-planning the transport path of the current position point and the target terminal point, and feeding back the instruction; at the same time, the target goods are transported early warning according to the quality coefficient of the target goods.

[0013] The second aspect of the present application provides a kind of overseas warehouse sub cargo transfer plan management system, comprising: transfer process management module, for the overseas warehouse sub cargo transfer plan path of expectation, mark as transfer path, and be divided into several transfer sub path, simultaneously obtain the environmental parameter of transfer sub path, and the transfer process of target goods is managed;Transfer process optimization module, for the transfer process of target goods is monitored, obtains management process parameter, and judges whether the transfer process of target goods is optimized adjustment;Transfer early warning feedback module, for the transfer process of target goods is optimized adjustment based, to transfer early warning feedback is carried out to target goods.

[0014] Compared with the prior art, the embodiments of the present application have at least the following advantages or beneficial effects:

[0015] (1) The present application provides a kind of overseas warehouse sub cargo transfer plan management method and system, and the complex overseas warehouse sub cargo transfer plan path is marked as transfer path and subdivided into multiple transfer sub path, let the whole transfer flow clear presentation, it is easy to macro and micro level overall control, greatly improve management efficiency and precision, in the transfer process, the environmental parameter of each transfer sub path is obtained in real time, especially the index of cold chain transportation is crucial, to build a defense line for the quality safety of cold chain goods, at the same time, the transfer state of management target goods is continuously monitored, and management process parameter is accurately obtained, according to these data, it is automatically judged whether the transfer process needs to be optimized adjustment, such as dynamic adjustment refrigeration equipment operation, once potential risk is found, immediately trigger transfer early warning feedback, so that management personnel can respond quickly, avoid cold chain goods from being damaged due to environmental change, so as to effectively guarantee the safety and quality of cold chain goods.

[0016] (2) The present application can accurately judge the quality of goods by obtaining the quality coefficient of target goods and comparing with the quality threshold value, and when the quality meets the standard, no additional management is carried out, resources are saved, when the quality coefficient does not meet the standard, the transfer equipment parameters are flexibly adjusted according to the quality deviation value and the corresponding threshold value, when the deviation value is small, only the compressor frequency is adjusted, when the deviation value is large, the compressor frequency and the expansion valve opening degree are adjusted at the same time, to ensure that the goods are in suitable environment, in addition, when the deviation value is large, transfer early warning feedback is carried out, timely measures are taken, the quality of goods is effectively guaranteed, and the transfer efficiency and safety are improved.

[0017] (3) The application can maximize the adaptability of the warehouse to goods and transfer demand, improve transfer efficiency and goods safety by acquiring the alternative warehouse adaptation index and sorting, accurately positioning the first-ranked adaptive warehouse as the target alternative warehouse, re-labeling the position point and planning the transfer path, generating the optimal transfer scheme, saving transfer time and cost, and transferring early warning according to the goods quality coefficient, which can discover potential problems in advance and take measures to protect the quality of goods. BRIEF DESCRIPTION OF DRAWINGS

[0018] The application is further described by using the drawings, but the embodiments in the drawings do not constitute any limitation to the application, and other drawings can be obtained by those skilled in the art without creative labor on the basis of the following drawings.

[0019] Figure 1 The figure is a schematic diagram of the method steps of the application.

[0020] Figure 2 The figure is a schematic diagram of the system module connection of the application.

[0021] Figure 3 The figure is a detailed flowchart of the application.

[0022] Figure 4 The figure is an environmental detection data visualization interface diagram of the application.

[0023] Figure 5 The figure is a warehouse data visualization interface diagram of the application.

[0024] Figure 6 The figure is a transport goods interface diagram of the application.

[0025] Figure 7 The figure is an alternative path interface diagram of the application. DETAILED DESCRIPTION

[0026] The technical solutions in the embodiments of the application will be described clearly and completely below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, not all the embodiments. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor are within the protection scope of the application.

[0027] REFERENCE Figure 1As shown, the first aspect of the present application provides a method for managing an overseas warehouse sub-shipment transfer plan, comprising the following steps: step one, marking the overseas warehouse sub-shipment transfer plan path as a transfer path, and dividing it into several transfer sub-paths, while obtaining the environmental parameters of the transfer sub-paths and managing the transfer process of the target goods.

[0028] According to the distance interval predetermined by the transportation personnel, the transfer path is divided into several adjacent transfer sub-paths.

[0029] Specifically, the transfer process of the target goods is managed, and the specific management process is as follows: obtaining the starting position point of the overseas warehouse sub-shipment, which is marked as the starting point, obtaining the termination position point of the overseas warehouse sub-shipment transfer plan, which is marked as the target endpoint, marking the overseas warehouse sub-shipment transfer plan path between the starting point and the target endpoint as the transfer path, and transferring the target goods along the transfer path; the starting position point of the overseas warehouse sub-shipment refers to the initial position point of the target goods, the termination position point of the overseas warehouse sub-shipment transfer plan refers to the final position point to be reached by the target goods, which can be obtained from the order to which the target goods belong, and the overseas warehouse sub-shipment transfer plan path refers to the best path between the starting point and the target endpoint that can guarantee the quality of cold chain transportation of the target goods, which can be dynamically calculated by integrating historical traffic flow data (such as congested road sections during peak hours) and real-time traffic information (such as road conditions obtained through GPS floating car data) into the Internet of Things and geographic information system using the Dijkstra algorithm.

[0030] Obtaining and analyzing the environmental parameters of the first transfer sub-path to obtain the environmental robustness index of the first transfer sub-path, while obtaining the historical predicted environmental robustness index of the first transfer sub-path and comparing it with the environmental robustness index of the first transfer sub-path, the environmental robustness threshold value represents the minimum value of the reasonable range of the environmental robustness index, which is extracted from the management database.

[0031] If the environmental robustness index of the first transfer sub-path is greater than or equal to the historical predicted environmental robustness index of the first transfer sub-path, the environmental robustness index of the second transfer sub-path is predicted and compared with the environmental robustness threshold value, thereby managing the transfer process of the target goods on the second transfer sub-path; the historical predicted environmental robustness index of the first transfer sub-path refers to the environmental robustness index of the first transfer sub-path analyzed by collecting the environmental parameters of the first transfer sub-path when the transfer equipment travels to the upper adjacent path of the first transfer sub-path, which is marked as the historical predicted environmental robustness index of the first transfer sub-path, the time period corresponding to the first transfer sub-path when the transfer equipment travels to the upper adjacent path of the first transfer sub-path is marked as the first time period, and the average sea water temperature, average sea surface heat flux and average sea surface long wave radiation intensity of the first transfer sub-path in the first time period are brought into the environmental robustness index, i.e. a historical predicted environment robustness index of the first sub-transport path, an average sea surface temperature of the first sub-transport path in the first time period, an average sea surface heat flux of the first sub-transport path in the first time period, an average sea surface long-wave radiation intensity of the first sub-transport path in the first time period, so as to obtain the historical predicted environment robustness index of the first sub-transport path, because of the complexity of the marine environment, the environment robustness index of the first sub-transport path needs to be reacquired when the transport equipment travels to the first sub-transport path; the above-mentioned predicted environment robustness index of the second sub-transport path refers to the environment robustness index of the second sub-transport path analyzed by collecting the environment parameters of the second sub-transport path when the transport equipment travels to the first sub-transport path, which is the predicted environment robustness index of the second sub-transport path; the above-mentioned target goods refer to perishable or temperature-sensitive goods with strict requirements on environmental temperature and other conditions, the transport equipment refers to a refrigerated ship or a refrigerated container for marine transportation, which has efficient refrigeration, heat preservation and environment control capabilities and can adapt to the complex conditions of ocean transportation to provide whole-process temperature control guarantee for cold-chain goods.

[0032] If the environment robustness index of the first sub-transport path is less than the historical predicted environment robustness index of the first sub-transport path, the transport process of the target goods on the first sub-transport path is managed; it needs to be explained that the environment robustness index of the first sub-transport path is updated in real time, and once it is monitored that the environment robustness index of the first sub-transport path is less than the historical predicted environment robustness index of the first sub-transport path, the transport process of the target goods on the first sub-transport path is immediately managed.

[0033] Specifically, the transport process of the target goods on the second sub-transport path is managed, and the specific analysis process is as follows: if the environment robustness index of the second sub-transport path is greater than or equal to the environment robustness threshold, the transport process of the target goods on the second sub-transport path is not managed; if the environment robustness index of the second sub-transport path is less than the environment robustness threshold, the environment robustness deviation factor of the second sub-transport path is obtained and compared with the environment robustness deviation threshold; the above-mentioned environment robustness deviation factor is used to quantify the proportional relationship between the environment robustness deviation threshold and the environment robustness deviation factor, specifically referring to the environment robustness deviation threshold divided by the environment robustness index, and the result is the environment robustness deviation factor.

[0034] If the environment robustness deviation factor of the second sub-transport path is less than the environment robustness deviation threshold value, the compressor frequency of the transport equipment is predicted to be increased based on the environment robustness deviation factor of the second sub-transport path, specifically, the compressor frequency of the transport equipment is multiplied by the environment robustness deviation factor, and the result is taken as the compressor frequency of the transport equipment on the second sub-transport path. The compressor is the core component of the refrigeration system, and its frequency directly affects the refrigerating capacity. When the environment robustness deviation factor indicates that the environment has a deterioration trend, the compressor frequency can be appropriately increased to increase the circulation flow of the refrigerant, thereby enhancing the refrigeration effect.

[0035] If the environment robustness deviation factor of the second sub-transport path is greater than or equal to the environment robustness deviation threshold value, the current location point of the transport equipment is marked as a new starting point, the second sub-transport path from the new starting point to the target terminal point is re-planned, and instruction feedback is performed. The above-mentioned re-planning of the second sub-transport path from the new starting point to the target terminal point is consistent with the process of planning the expected overseas warehouse distribution transport path, and the above-mentioned instruction feedback refers to feeding back the re-planned second sub-transport path to the transport personnel in the form of a visual pop-up window or the like, and the transport personnel judges whether to accept the path replacement.

[0036] Specifically, the transport process of the target cargo on the first sub-transport path is managed, and the specific management process is to obtain the quality coefficient of the target cargo and compare it with the quality threshold value. The above-mentioned quality threshold value refers to the minimum value of the reasonable range of the quality coefficient, which is obtained from the management database.

[0037] If the quality coefficient of the target cargo is greater than or equal to the quality threshold value, the transport process of the target cargo on the first sub-transport path is not managed.

[0038] If the quality coefficient of the target cargo is less than the quality threshold value, the quality deviation value of the target cargo is obtained and compared with the quality deviation threshold value. If the quality deviation value of the target cargo is less than the quality deviation threshold value, the compressor frequency of the transport equipment is increased based on the quality deviation value of the target cargo, and the transport process of the target cargo is monitored. The above-mentioned quality deviation threshold value is a numerical value used to determine the size of the quality deviation value, which is extracted from the management database. The above-mentioned quality deviation value of the target cargo refers to the proportional relationship between the quality coefficient and the quality threshold value, and the specific obtaining process is as follows: the quality threshold value is compared with the quality coefficient, and the processing result is the quality deviation value. The above-mentioned increase adjustment of the compressor frequency of the transport equipment refers to multiplying the compressor frequency of the transport equipment by the quality deviation value, and the result is the increased compressor frequency.

[0039] If the quality deviation value of the target goods is greater than or equal to the quality deviation threshold value, the compressor frequency and the expansion valve opening degree of the transfer equipment are adjusted based on the quality deviation value of the target goods, and a transfer warning feedback is given to the target goods; the above-mentioned adjustment of the compressor frequency and the expansion valve opening degree of the transfer equipment means that the compressor frequency is multiplied by the quality deviation value, and the result is the adjusted compressor frequency; the expansion valve opening degree is multiplied by the quality deviation value, and the result is the adjusted expansion valve opening degree, wherein the expansion valve controls the flow of refrigerant into the evaporator, and the appropriate opening degree can ensure that the refrigerant is fully vaporized in the evaporator. According to the quality of the goods, the opening degree of the expansion valve is adjusted.

[0040] Figure 4 The environmental detection data visualization interface of the present application, Figure 4 The environmental detection data visualization interface of the present application is shown. The interface clearly presents key marine environmental parameters such as sea water temperature, sea surface heat flux and sea surface long wave radiation intensity through integrated chart and data display module, and integrates trend analysis function of parameters such as temperature, humidity and pressure in the warehouse. The interface adopts intuitive graphical design, supports multi-dimensional data comparison and dynamic trend prediction, can provide users with comprehensive environmental monitoring and state evaluation capability, and needs to be explained that the red line in the pie chart corresponding to the compressor frequency is the real-time compressor frequency, and the pie chart corresponding to the expansion valve opening degree is the same.

[0041] Specifically, the environmental robustness index of the first transfer sub-path is specifically analyzed as follows: the environmental parameters include sea water temperature, sea surface heat flux and sea surface long wave radiation intensity; the above-mentioned sea water temperature refers to the water temperature of the ocean surface (usually about 1 meter below the sea surface), which is an important indicator of the thermal condition of the ocean; the above-mentioned sea surface heat flux refers to the heat exchanged between the ocean and the atmosphere through radiation, sensible heat and latent heat, etc.; the above-mentioned sea surface long wave radiation intensity refers to the intensity of infrared radiation emitted by the sea surface, which depends on the sea surface temperature. According to the Stefan-Boltzmann law, the radiation intensity is proportional to the fourth power of the sea surface temperature, wherein the sea water temperature, the sea surface heat flux and the sea surface long wave radiation intensity can be observed and obtained through satellite remote sensing technology.

[0042] The influence degree of the proportional relationship between the sea water temperature and the defined sea water temperature, the proportional relationship between the sea surface heat flux and the defined sea surface heat flux, and the proportional relationship between the sea surface long wave radiation intensity and the defined sea surface long wave radiation intensity on the environmental robustness index is quantified respectively, and the influence degrees are summarized to obtain the environmental robustness index, that is, , wherein is the environmental robustness index, is the sea water temperature, is the sea surface heat flux, is the sea surface long wave radiation intensity.

[0043] In the actual application of the environmental robustness index, The sea water temperature can be dynamically adapted, i.e., the sea water temperature can refer to the sea water temperature at different times, the sea water temperature of different paths, and the average sea water temperature, The sea surface heat flux and The sea surface long-wave radiation intensity is the same.

[0044] The environmental robustness index of the first transport path is used to represent the robustness of the environment of the first transport path to the transport target goods, and the specific expression is:

[0045] ;

[0046] In the formula, is the environmental robustness index of the first transport path, is the sea water temperature of the first transport path, is the preset defined sea water temperature in the management database, is the sea surface heat flux of the first transport path, is the preset defined sea surface heat flux in the management database, is the sea surface long-wave radiation intensity of the first transport path, is the preset defined sea surface long-wave radiation intensity in the management database, and a is a constant, is the preset sea water temperature weight in the management database, is the preset sea surface heat flux weight in the management database, is the preset sea surface long-wave radiation intensity weight in the management database.

[0047] The constant a is used to ensure the compliance of the environmental robustness index, and a is not 0.

[0048] The above defined sea water temperature represents the maximum value allowed by the sea water temperature; the above defined sea surface heat flux represents the maximum value allowed by the sea surface heat flux; and the above defined sea surface long-wave radiation intensity represents the maximum value allowed by the sea surface long-wave radiation intensity.

[0049] The above sea water temperature weight is used to quantify the influence degree of the unit value of the sea water temperature on the environmental robustness index, the above sea surface heat flux weight is used to quantify the influence degree of the unit value of the sea surface heat flux on the environmental robustness index, and the above sea surface long-wave radiation intensity weight is used to quantify the influence degree of the unit value of the sea surface long-wave radiation intensity on the environmental robustness index. The management database stores the corresponding relationship between the sea water temperature, the sea surface heat flux, and the sea surface long-wave radiation intensity and the corresponding weight, the sea water temperature, the sea surface heat flux, and the sea surface long-wave radiation intensity can be input into the management database, and the management database can retrieve the sea water temperature weight, the sea surface heat flux weight, and the sea surface long-wave radiation intensity weight. The value range is between 0 and 1.

[0050] It needs to be explained that the change of sea water temperature directly affects the sea surface heat flux. When the sea water temperature rises, the heat delivered by the ocean to the atmosphere (including sensible heat flux and latent heat flux) will increase, because the higher sea water temperature will enhance the temperature difference between the sea and the atmosphere, thus promoting the transfer of heat. The sea water temperature is a key factor affecting the intensity of long-wave radiation at sea surface. According to the Stefan-Boltzmann law, the intensity of long-wave radiation at sea surface is proportional to the fourth power of sea water temperature. Therefore, the increase of sea water temperature will lead to a significant increase in the intensity of long-wave radiation at sea surface. The change of sea surface heat flux will affect the heat budget of sea surface, and in turn affect the sea water temperature, while the change of sea water temperature will affect the intensity of long-wave radiation at sea surface. If the three parameters rise, it will make the temperature control in the cold chain transportation process of the transfer equipment more difficult, the heat exchange capacity will decrease, and it will have an adverse effect on the target goods of cold chain transportation. Therefore, it shows that the environmental robust protection capability for the target goods of transportation decreases.

[0051] Further, the quality coefficient of the target goods is specifically analyzed as follows: obtaining the temperature deviation ratio of the target goods, the pressure deviation ratio of the target goods and the humidity deviation ratio of the target goods; the above-mentioned temperature deviation ratio refers to the deviation proportion between the actual temperature value of the target goods monitored and the reference temperature value preset by the transportation personnel. The actual temperature value of the target goods is measured by a temperature sensor. The reference temperature value is processed by difference processing, and the processing result is processed by ratio processing with the reference temperature value, and finally the temperature deviation ratio is obtained. The above-mentioned pressure deviation ratio refers to the deviation proportion between the actual pressure value of the target goods monitored and the reference pressure value preset by the transportation personnel. The actual pressure value of the target goods is measured by a pressure sensor. The reference pressure value is processed by difference processing, and the absolute value of the processing result is processed by ratio processing with the reference pressure value, and finally the pressure deviation ratio is obtained. The above-mentioned humidity deviation ratio refers to the deviation proportion between the actual humidity value of the target goods monitored and the reference humidity value preset by the transportation personnel. The actual humidity value of the target goods is measured by a humidity sensor. The reference humidity value is processed by difference processing, and the absolute value of the processing result is processed by ratio processing with the reference humidity value, and finally the humidity deviation ratio is obtained.

[0052] The influence degree of the proportional relationship between the temperature deviation ratio of the target goods and the defined temperature deviation ratio, the proportional relationship between the pressure deviation ratio of the target goods and the defined pressure deviation ratio, and the proportional relationship between the humidity deviation ratio of the target goods and the defined humidity deviation ratio on the quality coefficient is quantified respectively, and the influence degrees are coupled, and the influence degree of the environmental robust index on the quality coefficient is coupled, so as to obtain the quality coefficient of the target goods.

[0053] A quality coefficient of the target cargo for quantifying the freezing quality of the target cargo, and a specific expression is:

[0054] ;

[0055] ;

[0056] wherein, is a quality coefficient of the target cargo, is an environmental robustness index of the first transfer sub-path, is a preset environmental robustness index influence value in the management database, is a quality factor, is a preset quality factor influence value in the management database, and z is a constant, is a temperature deviation ratio of the target cargo, is a preset temperature deviation ratio in the management database, is a pressure deviation ratio of the target cargo, is a preset pressure deviation ratio in the management database, is a humidity deviation ratio of the target cargo, is a preset humidity deviation ratio in the management database, is a preset temperature deviation ratio influence factor in the management database, is a preset pressure deviation ratio influence factor in the management database, is a preset humidity deviation ratio influence factor in the management database.

[0057] The above-mentioned defined temperature deviation ratio represents the maximum value allowed for the temperature deviation ratio; the above-mentioned defined pressure deviation ratio represents the maximum value allowed for the pressure deviation ratio; and the above-mentioned defined humidity deviation ratio represents the maximum value allowed for the humidity deviation ratio.

[0058] The environmental robustness index influence value is used for quantifying the influence degree of the unitless environmental robustness index value on the quality factor, the quality factor influence value is used for quantifying the influence degree of the unitless quality factor value on the quality factor, the temperature deviation ratio influence factor is used for quantifying the influence degree of the unitless temperature deviation ratio value on the quality factor, the pressure deviation ratio influence factor is used for quantifying the influence degree of the unitless pressure deviation ratio value on the quality factor, the humidity deviation ratio influence factor is used for quantifying the influence degree of the unitless humidity deviation ratio value on the quality factor, the management database stores the corresponding relationship between the environmental robustness index and the quality factor and the corresponding influence values thereof, and stores the corresponding relationship between the temperature deviation ratio, the pressure deviation ratio and the humidity deviation ratio and the corresponding influence factors thereof, the environmental robustness index, the quality factor, the temperature deviation ratio, the pressure deviation ratio and the humidity deviation ratio can be input into the management database, and the management database can retrieve the environmental robustness index influence value, the quality factor influence value, the temperature deviation ratio influence factor, the pressure deviation ratio influence factor and the humidity deviation ratio influence factor, and the value range is between 0 and 1.

[0059] It needs to be explained that the environmental robustness index directly influences the quality factor of the target goods, and in a robust environment, the quality factor of the goods is higher because the environmental factors fluctuate less, which is beneficial to maintaining the freezing quality and performance of the goods. If the environmental robustness index is low, it reflects that the environmental factors are insufficient to guarantee the refrigeration efficiency, which will trigger a series of chain reactions: first, the weakening of the refrigeration effect will cause the temperature of the target goods to abnormally rise, and the temperature deviation ratio will increase accordingly; the temperature rise will not only cause the frozen goods to have a risk of thawing, but also promote the increase of the environmental humidity, further increasing the humidity deviation ratio; in addition, temperature changes are often accompanied by pressure fluctuations, which in turn cause the pressure deviation ratio to rise, and the superimposed effect of the series of deviation ratios will eventually be manifested as poor freezing effect of the target goods, and the quality level will also decrease.

[0060] Step two, monitoring the transfer process of the target goods, obtaining management process parameters, and determining whether to optimize and adjust the transfer process of the target goods.

[0061] In a specific embodiment, the present application can accurately judge the quality of the goods by obtaining the quality factor of the target goods and comparing it with the quality threshold value, and when the quality meets the standard, no additional management is performed to save resources, and when the quality factor does not meet the standard, the transfer equipment parameters are adjusted flexibly according to the comparison between the quality deviation value and the corresponding threshold value, the compressor frequency is adjusted when the deviation value is small, and the compressor frequency and the expansion valve opening degree are adjusted when the deviation value is large, to ensure that the goods are in a suitable environment. In addition, when the deviation value is large, a transfer warning feedback is performed to take timely measures, effectively guarantee the quality of the goods, and improve the transfer efficiency and safety.

[0062] Specifically, the determination of whether to optimize the transportation process of the target goods is as follows: the management process parameters include the quality coefficient of the target goods at the end of the adjustment monitoring period and the quality coefficient of the target goods at the beginning of the adjustment monitoring period, and the difference is processed, and the processing result is processed by the quality coefficient of the target goods at the beginning of the adjustment monitoring period, and finally the quality improvement rate of the target goods in the adjustment monitoring period is obtained; the above-mentioned adjustment monitoring period refers to the time period for monitoring the optimization adjustment of the transportation process of the target goods, and the corresponding time length is determined by the transportation personnel; the above-mentioned quality improvement rate refers to the improvement rate of the quality coefficient in the adjustment monitoring period.

[0063] If the quality improvement rate of the target goods in the adjustment monitoring period is greater than or equal to the defined quality improvement rate, it is determined that the transportation process of the target goods is not optimized, and the defined quality improvement rate is the minimum value allowed by the quality improvement rate, which is extracted from the management database.

[0064] If the quality improvement rate of the target goods in the adjustment monitoring period is less than the defined quality improvement rate, it is determined that the transportation process of the target goods is optimized, and the specific optimization process is as follows: based on the quality improvement rate of the target goods in the adjustment monitoring period, the frequency of the compressor of the transportation equipment is twice increased and optimized, and based on the quality improvement rate of the target goods in the adjustment monitoring period, the opening of the expansion valve is increased and optimized; the above-mentioned twice increase and optimization of the frequency of the compressor of the transportation equipment refers to that the frequency increase adjustment coefficient is retrieved from the management database according to the quality improvement rate of the target goods in the adjustment monitoring period, and the processing result is the frequency of the compressor of the transportation equipment after twice increase and optimization, and the above-mentioned increase and optimization of the opening of the expansion valve refers to that the opening increase adjustment coefficient is retrieved from the management database according to the quality improvement rate of the target goods in the adjustment monitoring period, and the processing result is the opening of the expansion valve after increase and optimization. It needs to be explained that the management database stores the quality improvement rate-frequency increase adjustment coefficient mapping table and the quality improvement rate-opening increase adjustment coefficient mapping table, wherein the frequency increase adjustment coefficient is a value greater than 1, which represents the value of the increase adjustment of the compressor frequency; the opening increase adjustment coefficient is a value greater than 1, which represents the value of the increase adjustment of the opening of the expansion valve.

[0065] Step three, based on the optimization of the transportation process of the target goods, the transportation early warning feedback of the target goods is carried out.

[0066] In a specific embodiment, the present application can maximize the adaptation of the warehouse to the goods and the transfer demand by obtaining the alternative warehouse adaptation index and ranking, positioning the first-ranked adaptation warehouse as the target alternative warehouse, improving the transfer efficiency and the safety of the goods, re-marking the position point and planning the transfer path, generating the optimal transfer scheme, saving the transfer time and cost, and performing the transfer warning according to the quality coefficient of the goods, so as to find potential problems in advance and take measures to protect the quality of the goods in time. Overall, the method realizes the precision of warehouse selection, the optimization of transfer path, and the warning of goods safety, and improves the comprehensive efficiency of transfer management.

[0067] Specifically, the target goods are subjected to transfer warning feedback, and the specific warning feedback includes: obtaining the adaptation index of each alternative warehouse, and sequentially ranking the adaptation index from large to small, extracting the alternative warehouse corresponding to the first-ranked adaptation index, marking it as the target alternative warehouse, positioning the position point of the target alternative warehouse, and re-marking it as the target terminal point, collecting the current position point of the transfer equipment, re-planning the transfer path of the current position point and the target terminal point, and feeding back the instructions; the above-mentioned re-planning of the transfer path of the current position point and the target terminal point is consistent with the expected overseas warehouse distribution transfer plan path planning mode; the above-mentioned instruction feedback refers to feeding back the re-planned transfer path of the current position point and the target terminal point to the transportation personnel in the form of a visual pop-up window, and the transportation personnel judge whether to accept the path change.

[0068] Meanwhile, the quality coefficient of the target goods is marked in the visual warning information, and the information reminding the delayed arrival is also included in the warning information, and the warning information is sent to the transportation personnel and the management personnel of the overseas warehouse distribution transfer plan terminal position point.

[0069] Further, the adaptation index of each alternative warehouse is specifically analyzed as follows: obtaining the environmental stability index of the transfer path of each alternative warehouse, the transportation efficiency improvement value of the transfer path of each alternative warehouse, and the congestion risk factor of the transfer path of each alternative warehouse; the above-mentioned environmental stability index of the transfer path of each alternative warehouse can be obtained by bringing the average sea water temperature, the average sea surface heat flux and the average sea surface long wave radiation intensity of the transfer path of each alternative warehouse into the environmental stability index, i.e. is the environmental stability index of the transfer path, is the average sea water temperature of the transfer path, is the average sea surface heat flux of the transfer path, The average sea surface long-wave radiation intensity of the transport path; the transport efficiency improvement value refers to the improvement ratio of the time corresponding to the transport path of the alternative warehouse to the time corresponding to the overseas warehouse distribution transport plan path, which can be obtained by subtracting the time corresponding to the transport path of the alternative warehouse from the time corresponding to the overseas warehouse distribution transport plan path, and then taking the ratio of the result to the time corresponding to the overseas warehouse distribution transport plan path, and finally obtaining the transport efficiency improvement value, wherein the time corresponding to the transport path of the alternative warehouse and the time corresponding to the overseas warehouse distribution transport plan path can be obtained by global positioning tracking technology; the congestion risk factor represents a quantitative index of the possibility of congestion on the transport path, which can be obtained from the management database, and the specific obtaining process is as follows: a traffic flow-congestion risk factor mapping table is stored in the management database, and the traffic flow of each transport path of the alternative warehouse is queried in the management database, that is, the congestion risk factor of each transport path of the alternative warehouse is retrieved, and the traffic flow of each transport path of the alternative warehouse refers to the number of transport equipment of each transport path of the alternative warehouse, which can be obtained by global positioning tracking technology.

[0070] The influence degree of the quantitative environmental robustness index, the transport efficiency improvement value, the proportional coefficient between the defined transport efficiency improvement value, the proportional coefficient between the congestion risk factor and the defined congestion risk factor on the adaptation index is quantified, and the influence degree of the quality coefficient of the target goods on the adaptation index is aggregated, so as to obtain the adaptation index.

[0071] The adaptation index of each alternative warehouse represents the adaptation degree of each alternative warehouse, and the specific expression is as follows:

[0072] ;

[0073] In the formula, is the adaptation index of the bth alternative warehouse, b is the number of the alternative warehouse, m is the total number of alternative warehouses, is the quality coefficient of the target goods, is the environmental robustness index of the transport path of the bth alternative warehouse, is the transport efficiency improvement value of the transport path of the bth alternative warehouse, is the defined transport efficiency improvement value preset in the management database, is the congestion risk factor of the transport path of the bth alternative warehouse, is the defined congestion risk factor preset in the management database, is the quality coefficient weight factor preset in the management database, is the environmental robustness index weight factor preset in the management database, The preset transportation efficiency improvement value weight factor in the management database is used for managing the preset transportation efficiency improvement value weight factor in the management database, The preset congestion risk factor weight factor in the management database is used for managing the preset congestion risk factor weight factor in the management database.

[0074] The defined transportation efficiency improvement value represents the minimum value allowed by the transportation efficiency improvement value; and the defined congestion risk factor represents the maximum value allowed by the congestion risk factor.

[0075] The quality coefficient weight factor is used for quantifying the influence degree of the unitless quality coefficient unit value on the adaptation index; the environmental robustness index weight factor is used for quantifying the influence degree of the unitless environmental robustness index unit value on the adaptation index; the transportation efficiency improvement value weight factor is used for quantifying the influence degree of the transportation efficiency improvement value unit value on the adaptation index; and the congestion risk factor weight factor is used for quantifying the influence degree of the congestion risk factor unit value on the adaptation index.

[0076] It should be explained that the higher the environmental robustness index is, the better the quality of the goods transportation can be guaranteed; the higher the transportation efficiency improvement value is, the higher the transportation efficiency of the transfer path to which the candidate goods warehouse belongs, which will directly improve the adaptability of the transfer path because it can complete the goods transportation task more quickly; and the lower the congestion risk factor is, the smaller the possibility of congestion on the transportation path is, which will help to improve the reliability and punctuality of the transportation, thereby improving the transportation efficiency improvement value; and the quality coefficient of the target goods can be integrated to better select the candidate goods warehouse that adapts to the transportation demand of the target goods, thereby improving the overall quality and efficiency of the goods transportation.

[0077] Figure 5 The warehouse data visualization interface diagram of the present application clearly shows the key data in the warehouse through intuitive charts and status identifiers, and clearly displays the completion status of the transfer optimization adjustment, so as to facilitate the user to timely master the warehouse operation condition and the transfer optimization progress.

[0078] Figure 6 The transportation article interface diagram of the present application shows the transportation article visualization interface, which presents the key information in the cold chain transportation process in an intuitive manner, including the temperature control requirement, the goods type, etc. The interface design fully considers the actual demand in the transportation process, so as to facilitate the operator to quickly obtain the required information during the travel and plan the refrigeration parameters accordingly, thereby ensuring the transportation of the goods in the best environment.

[0079] Figure 7 For the alternative path interface diagram of the present application, the interface displays the transportation path structure, and the operator can intuitively compare multiple sets of alternative path schemes on the geographic information system (GIS) base map through the interactive layer filtering function, and dynamically configure the transportation transfer nodes and backup storage resources, output a multi-objective balanced path-warehouse linkage scheduling scheme through analysis, and provide visual and traceable closed-loop support for logistics decision-making.

[0080] In one specific embodiment, the present application provides a method and system for managing an overseas warehouse split shipment transfer plan, which marks the complex overseas warehouse split shipment transfer plan path as a transfer path and subdivides it into multiple transfer sub-paths, clearly presents the entire transfer process, facilitates comprehensive control from a macro and micro perspective, greatly improves management efficiency and accuracy, and in the transfer process, real-time acquisition of environmental parameters of each transfer sub-path, especially the indicators that are crucial for cold chain transportation, builds a strong defense line for the quality and safety of cold chain goods, at the same time, continuously monitors the transfer state of the target goods, accurately acquires management process parameters, automatically determines whether the transfer process needs to be optimized and adjusted according to these data, such as dynamically adjusting the operation of refrigeration equipment, and once potential risks are found, transfer early warning feedback is triggered immediately, so that management personnel can respond quickly and avoid damage to cold chain goods due to environmental changes, thereby effectively protecting the safety and quality of cold chain goods.

[0081] Referring to Figure 2 The second aspect of the present application provides a management system for an overseas warehouse split shipment transfer plan, which includes a transfer process management module, a transfer process optimization module, a transfer early warning feedback module, and a management database.

[0082] The management database is used to store parameters related to the management system for an overseas warehouse split shipment transfer plan.

[0083] The transfer process management module is connected to the transfer process optimization module, the transfer process optimization module is connected to the transfer early warning feedback module, and the transfer process management module, the transfer process optimization module, and the transfer early warning feedback module are all connected to the management database.

[0084] The transfer process management module is used to mark the path of the overseas warehouse split shipment transfer plan as a transfer path, and divide it into several transfer sub-paths, while acquiring environmental parameters of the transfer sub-paths and managing the transfer process of the target goods.

[0085] The transfer process optimization module is used to monitor the transfer process of the target goods, acquire management process parameters, and determine whether to optimize and adjust the transfer process of the target goods.

[0086] The transport early warning feedback module is used for optimizing and adjusting the transport process of the target goods, thereby performing transport early warning feedback on the target goods.

[0087] Figure 3 For the detailed flowchart of the present application, the flowchart completely describes the closed-loop management logic from transport path planning to transport process optimization adjustment, and finally triggers the transport early warning feedback. First, the system marks the transport path and divides it into multiple sub-paths, synchronously acquires the environmental parameters of each sub-path, and uses them as basic data for subsequent decision-making. During the transport process, the key parameters such as the quality coefficient of the target goods, the temperature / pressure / humidity deviation ratio, etc. are monitored in real time, and the quality improvement ratio in the adjustment monitoring period is calculated; if the quality improvement ratio reaches or exceeds the defined value, the current transport strategy is maintained; if it does not meet the standard, the optimization adjustment process is triggered, and dynamic optimization is performed by adjusting the compressor frequency and expansion valve opening of the transport equipment; the environmental robustness index is compared by double thresholds: if the environmental robustness index of the second transport sub-path meets the standard, the normal process is executed; if it does not meet the standard, further judgment is made according to the environmental robustness deviation factor, and the compressor frequency is increased or the path is re-planned and a new starting point is marked. At the same time, for the first transport sub-path, if its environmental robustness index is lower than the historical prediction value, it enters the quality coefficient comparison process, and according to the quality deviation value, it is determined whether to adjust the equipment parameters or trigger the transport early warning. Finally, in the transport early warning feedback stage, the system comprehensively evaluates the adaptation index of the candidate warehouse, selects the optimal warehouse and re-plans the transport path, and according to the real-time quality coefficient of the target goods, triggers the quality abnormality warning, forms a "monitoring-decision-adjustment-feedback" closed-loop management system, and ensures the controllability of the cold chain transportation throughout the whole process.

[0088] The above is only an example and description of the structure of the present application. Those skilled in the art can make various modifications or supplements to the described specific embodiments or use similar ways to replace them, as long as they do not deviate from the structure of the present application or exceed the scope defined by the present application, and they should belong to the protection scope of the present application.

Claims

1. A method for managing an overseas warehouse distribution plan, characterized by, The application relates to a method for managing the transportation process of target goods. The method comprises the following steps: Step 1: marking the expected overseas warehouse sub-transportation plan path as a transportation path, dividing the transportation path into several transportation sub-paths, obtaining the environmental parameters of the transportation sub-paths, and managing the transportation process of the target goods; Step 2: monitoring the transportation process of the target goods, obtaining the management process parameters, and determining whether to optimize and adjust the transportation process of the target goods; Step 3: based on the optimization and adjustment of the transportation process of the target goods, the transportation early warning feedback of the target goods is carried out. The specific management process of the transportation process of the target goods is as follows: obtaining the starting position point of the overseas warehouse sub-goods, marking it as a starting point, obtaining the termination position point of the overseas warehouse sub-goods transportation plan, marking it as a target terminal point, marking the expected overseas warehouse sub-goods transportation plan path between the starting point and the target terminal point as a transportation path, and transporting the target goods along the transportation path; obtaining and analyzing the environmental parameters of the first transportation sub-path, obtaining the environmental stability index of the first transportation sub-path, obtaining the historical prediction environmental stability index of the first transportation sub-path, and comparing the environmental stability index of the first transportation sub-path with the historical prediction environmental stability index of the first transportation sub-path; if the environmental stability index of the first transportation sub-path is greater than or equal to the historical prediction environmental stability index of the first transportation sub-path, the environmental stability index of the second transportation sub-path is predicted, and the environmental stability index of the second transportation sub-path is compared with the environmental stability threshold value, so as to manage the transportation process of the target goods on the second transportation sub-path; if the environmental stability index of the first transportation sub-path is less than the historical prediction environmental stability index of the first transportation sub-path, the transportation process of the target goods on the first transportation sub-path is managed; The specific analysis process of the transportation process of the target goods on the second transportation sub-path is as follows: if the environmental stability index of the second transportation sub-path is greater than or equal to the environmental stability threshold value, the transportation process of the target goods on the second transportation sub-path is not managed; if the environmental stability index of the second transportation sub-path is less than the environmental stability threshold value, the environmental stability deviation factor of the second transportation sub-path is obtained, and the environmental stability deviation factor of the second transportation sub-path is compared with the environmental stability deviation threshold value; if the environmental stability deviation factor of the second transportation sub-path is less than the environmental stability deviation threshold value, the compressor frequency of the transportation equipment is increased based on the environmental stability deviation factor of the second transportation sub-path; if the environmental stability deviation factor of the second transportation sub-path is greater than or equal to the environmental stability deviation threshold value, the current position point of the transportation equipment is marked as a new starting point, the second transportation sub-path of the new starting point and the target terminal point is re-planned, and instruction feedback is carried out; 2. The method of claim 1, wherein: The environmental stability index indicates the stability guarantee capability of the path environment for transporting the target goods. The specific management process of the transportation process of the target goods on the first transportation sub-path is as follows: obtaining the quality coefficient of the target goods, and comparing the quality coefficient of the target goods with the quality threshold value; if the quality coefficient of the target goods is greater than or equal to the quality threshold value, the transportation process of the target goods on the first transportation sub-path is not managed. If the quality coefficient of the target cargo is less than the quality threshold value, a quality deviation value of the target cargo is acquired and compared with a quality deviation threshold value, if the quality deviation value of the target cargo is less than the quality deviation threshold value, the compressor frequency of the transfer equipment is adjusted based on the quality deviation value of the target cargo, and the transfer process of the target cargo is monitored; If the quality deviation value of the target cargo is greater than or equal to the quality deviation threshold value, the compressor frequency and the expansion valve opening degree of the transfer equipment are adjusted based on the quality deviation value of the target cargo, and a transfer warning feedback of the target cargo is performed; The quality coefficient of the target cargo is used to quantify the freezing quality of the target cargo.

3. The method of claim 1, wherein: The determination of whether to optimize the transfer process of the target cargo includes the following specific determination process: The management process parameters include the quality coefficient of the target cargo at the end time point of the adjustment monitoring period and the quality coefficient of the target cargo at the start time point of the adjustment monitoring period, and the quality improvement ratio of the target cargo in the adjustment monitoring period is acquired; If the quality improvement ratio of the target cargo in the adjustment monitoring period is greater than or equal to the defined quality improvement ratio, it is determined that the transfer process of the target cargo is not optimized, and if the quality improvement ratio of the target cargo in the adjustment monitoring period is less than the defined quality improvement ratio, it is determined that the transfer process of the target cargo is optimized, and the specific optimization adjustment process is as follows: Based on the quality improvement ratio of the target cargo in the adjustment monitoring period, the compressor frequency of the transfer equipment is adjusted twice, and based on the quality improvement ratio of the target cargo in the adjustment monitoring period, the expansion valve opening degree is adjusted. The quality coefficient of the target cargo is used to quantify the freezing quality of the target cargo.

4. The method of claim 1, wherein: The transfer warning feedback of the target cargo includes the following specific warning feedback: The adaptation index of each candidate cargo warehouse is acquired, and the candidate cargo warehouses are sorted in descending order of the adaptation index, the candidate cargo warehouse corresponding to the first ranking adaptation index is extracted and marked as the target candidate cargo warehouse, the position point of the target candidate cargo warehouse is located, and the target end point is re-marked, the current position point of the transfer equipment is collected, the transfer path from the current position point to the target end point is re-planned, and the instruction feedback is performed; Meanwhile, the target cargo is transferred according to the quality coefficient of the target cargo; The adaptation index of each candidate cargo warehouse represents the adaptation degree of each candidate cargo warehouse. The quality coefficient of the target cargo is used to quantify the freezing quality of the target cargo.

5. The method of claim 1, wherein: The specific analysis process of the environmental robustness index of the first transfer sub-path is as follows: The environmental parameters include seawater temperature, sea surface heat flux and sea surface long-wave radiation intensity; The influence degree of the proportional relationship between the seawater temperature and the defined seawater temperature, the proportional relationship between the sea surface heat flux and the defined sea surface heat flux, and the proportional relationship between the sea surface long-wave radiation intensity and the defined sea surface long-wave radiation intensity on the environmental robustness index is quantified respectively, and the influence degrees are summarized to obtain the environmental robustness index.

6. The method of claim 4, wherein: The specific analysis process of the quality coefficient of the target cargo is as follows: The temperature deviation ratio of the target cargo, the pressure deviation ratio of the target cargo and the humidity deviation ratio of the target cargo are acquired; The influence degree of a proportional relationship between a temperature deviation ratio of the target goods and a defined temperature deviation ratio, a proportional relationship between a pressure deviation ratio of the target goods and a defined pressure deviation ratio, and a proportional relationship between a humidity deviation ratio of the target goods and a defined humidity deviation ratio on the quality coefficient is quantified respectively, the influence degrees are coupled, and the influence degree of the environmental robustness index on the quality coefficient is coupled, so as to obtain the quality coefficient of the target goods.

7. The method of claim 4, wherein: The fitting index of each alternative goods warehouse is specifically analyzed as follows: An environmental robustness index of a transfer path to which each alternative goods warehouse belongs, a transportation efficiency improvement value of the transfer path to which each alternative goods warehouse belongs, and a congestion risk factor of the transfer path to which each alternative goods warehouse belongs are obtained. The influence degree of a proportional coefficient between the environmental robustness index, the transportation efficiency improvement value and a defined transportation efficiency improvement value, and a proportional coefficient between the congestion risk factor and a defined congestion risk factor on the fitting index is quantified, the influence degrees are aggregated, and the influence degree of the quality coefficient of the target goods on the fitting index is integrated, so as to obtain the fitting index.

8. A system for applying the method of managing the overseas warehouse distribution plan of the expected overseas cargo according to any one of claims 1 to 7, characterized in that: It comprises: A transfer process management module for dividing the expected overseas goods warehouse into transfer plan paths, marking the transfer plan paths as transfer paths, dividing the transfer paths into a plurality of transfer sub-paths, obtaining environmental parameters of the transfer sub-paths, and managing the transfer process of the target goods; A transfer process optimization module for monitoring the management of the transfer process of the target goods, obtaining management process parameters, and determining whether to optimize and adjust the transfer process of the target goods; A transfer early warning feedback module for optimizing and adjusting the transfer process of the target goods, thereby providing transfer early warning feedback for the target goods.

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