Big data-based cold chain logistics warehousing intelligent management system

Abstract

The present application relates to the technical field of warehousing logistics, and in particular to a big data-based cold chain logistics warehousing intelligent management system. The system comprises: acquiring and analyzing a loading plan, and determining drug information and warehouse information; analyzing the drug information to determine a suitable storage temperature; analyzing the drug information, the warehouse information, and the suitable storage temperature to determine a non-cold chain environment quality assurance time of a drug; determining vehicle information on the basis of the suitable storage temperature and the drug information; and on the basis of the drug information, the warehouse information, the vehicle information, and the non-cold chain environment quality assurance time, formulating a loading strategy for reference by the cold chain logistics warehousing staff. By comprehensively analyzing the drug information, the warehouse information, the vehicle information, etc., a scientific loading strategy is formulated, so as to improve cold chain logistics efficiency, ensure drug quality, optimize resource configuration, and provide decision support for the staff, thereby improving the customer satisfaction and the overall operational performance.

Description

A Big Data-Based Intelligent Management System for Cold Chain Logistics Warehousing Technical Field

[0001] This application relates to the field of warehousing and logistics technology, and in particular to a big data-based intelligent management system for cold chain logistics warehousing. Background Technology

[0002] A cold chain logistics warehouse management system is a warehouse management system specifically designed for the cold chain logistics process. It aims to comprehensively monitor and manage environmental factors such as temperature and humidity during the cold chain logistics process. Currently, the mainstream method uses sensors with Internet of Things (IoT) capabilities to monitor cargo information, thereby achieving cargo monitoring and management.

[0003] Existing intelligent management systems for cold chain logistics warehousing cannot adequately monitor and manage pharmaceuticals, which have strict requirements during warehousing and storage. This can easily lead to changes in the quality of pharmaceuticals due to temperature variations, causing them to fail to meet storage requirements and resulting in significant losses. Summary of the Invention

[0004] This application provides a big data-based intelligent management system for cold chain logistics warehousing to solve the above problems.

[0005] In a first aspect, this application provides a big data-based intelligent management system for cold chain logistics warehousing, the system comprising:

[0006] Obtain and analyze the stocking plan to determine drug information and warehouse information;

[0007] Analyze the drug information to determine the appropriate storage temperature;

[0008] By analyzing the drug information, the warehouse information, and the suitable storage temperature, the shelf life of the drug in a non-cold chain environment is determined.

[0009] Based on the suitable storage temperature and the drug information, determine the vehicle information;

[0010] Based on the drug information, warehouse information, vehicle information, and the shelf life of the non-cold chain environment, a loading strategy is formulated for reference by cold chain logistics warehouse management personnel.

[0011] Through the aforementioned technical solution, based on the loading plan, the information of the medicines to be loaded and the warehouse information where they will be stored are determined. By analyzing the medicine information and warehouse information, the suitable storage temperature for the medicines is determined, providing the necessary data foundation for subsequent loading strategy formulation. Then, based on the medicine information, warehouse information, and suitable storage temperature, the shelf life of the medicines in non-cold chain environments is calculated. During subsequent loading, it is clear how long the medicines need to be handled, avoiding the possibility of prolonged storage in non-cold chain environments leading to changes in efficacy. Furthermore, based on the suitable storage temperature and medicine information, vehicle information is determined. Then, based on the medicine information, warehouse information, vehicle information, and shelf life in non-cold chain environments, a loading strategy is formulated. By precisely matching the suitable storage temperature of the medicines with the vehicle temperature conditions and the shelf life of the medicines in non-cold chain environments, it is ensured that the medicines are kept at the suitable storage temperature throughout the process, thereby guaranteeing their efficacy. In addition, the formulation of the loading strategy also improves the efficiency of the entire refrigerated truck scheduling, ensuring timely transportation of medicines.

[0012] Optionally, the step of analyzing the drug information, the warehouse information, and the suitable storage temperature to determine the non-cold chain environment shelf life of the drug includes:

[0013] Based on the warehouse information, information on non-cold storage areas is obtained;

[0014] Analyze the information of the non-refrigerated area to determine the temperature of the non-refrigerated area;

[0015] Based on the drug information, determine the main ingredients of the drug;

[0016] By analyzing the temperature of the non-refrigerated area, the main components of the drug, and the suitable storage temperature, the shelf life of the drug in the non-cold chain environment is determined.

[0017] The above technical solution obtains information about non-refrigerated areas within the warehouse using warehouse information, analyzes this information to determine the temperature of these areas, identifies the main components of the medicine based on the drug information, and finally combines the analysis of non-refrigerated area information, main drug components, and suitable storage temperature to determine the shelf life of the medicine in the non-cold chain environment. This entire process enables temperature monitoring of the non-refrigerated area, ensuring temperature accuracy and real-time performance, avoiding errors from manual operation, and facilitating the acquisition of drug components. This ensures more accurate subsequent assessments of the shelf life of drug components in the non-cold chain environment, providing sufficient information to support the determination of the shelf life and improving the level of drug safety assurance.

[0018] Optionally, determining the vehicle information based on the suitable storage temperature and the drug information includes:

[0019] Based on the drug information, the drug quantity and drug packaging information are obtained;

[0020] The number of drug packages is determined based on the quantity of the drug and the drug packaging information;

[0021] Based on the drug packaging information, determine the size of each individual drug item;

[0022] Vehicle information is determined based on the number of medicines, the suitable storage temperature, and the dimensions of each medicine.

[0023] The above technical solution obtains the quantity and packaging information of the drugs based on the drug information. Using this information, the total number of drug cases is determined, and the size of each case is determined using the packaging information. Finally, the vehicle information is determined using the number of cases, the size of each case, and the suitable storage temperature. This multi-dimensional data analysis ensures the accuracy of vehicle information, improves vehicle utilization efficiency, and provides a scientific strategy for subsequent vehicle scheduling.

[0024] Optionally, determining the vehicle information based on the number of medicine packages, the suitable storage temperature, and the dimensions of each medicine package includes:

[0025] Determine the volume of a single drug unit based on the dimensions of the single drug unit;

[0026] Based on the recommended storage temperature, determine the appropriate vehicle information for storage;

[0027] Based on the information on suitable storage vehicles and the dimensions of individual medicines, determine the number of items that can be loaded in each suitable storage vehicle;

[0028] Based on the volume of a single drug item and the number of items loaded in each suitable storage vehicle, the best vehicle is selected from the suitable storage vehicle information, and the best vehicle information is extracted.

[0029] The number of vehicles is determined based on the number of medicines and the number of items loaded in the optimal vehicle;

[0030] Vehicle information is determined based on the optimal vehicle information and the number of vehicles.

[0031] Through the above technical solution, after calculating the volume of a single medicine unit based on its dimensions, suitable vehicles are selected based on the optimal storage temperature for the medicine. The number of items a vehicle can carry is then calculated based on the vehicle's information. Finally, based on the volume of the single medicine unit and the number of items carried, the vehicle with the highest space utilization rate is determined as the optimal vehicle. The number of vehicles is then determined based on the number of medicine units and the number of items carried. The optimal vehicle information and the number of vehicles are then used to define the vehicle information. By selecting suitable vehicles, it is ensured that the vehicles can provide the appropriate storage temperature for the medicine. Furthermore, by calculating space utilization, it is ensured that transportation vehicle resources are highly utilized, saving transportation costs.

[0032] Optionally, the analysis of the temperature of the non-refrigerated area, the main components of the drug, and the suitable storage temperature to determine the shelf life of the drug in the non-cold chain environment includes:

[0033] Based on the drug information, determine the proportions of the main drug components;

[0034] Analyze the main components of the drug to determine the component characteristics of each main component;

[0035] Analyze the characteristics of the components to determine the temperature change properties of each major component of the drug;

[0036] Based on the aforementioned component characteristics, determine whether any two main components of a drug have a mutually influential property;

[0037] If present, the temperature change properties of the drug are determined based on the temperature change properties of each major drug component, the component ratio, and the interaction properties between any two major drug components, referring to the following formula:

[0038] Among them, V mix For the temperature change properties of drugs, v i p represents the temperature change properties of the main component of the i-th drug. i Let be the proportion of the main component of the i-th drug in the drug, n be the total number of main components of the drug, and A be the interaction matrix. ij The interaction properties between the main components of drug i and drug j;

[0039] Analyze the temperature changes of the non-refrigerated area and the drug temperature to determine the shelf life of the drug in the non-cold chain environment.

[0040] Through the aforementioned technical solution, in-depth analysis of the main components of the drug was conducted, revealing their temperature change properties. Furthermore, the interaction properties between these main components were obtained. This understanding of the interaction properties helps to more accurately determine the temperature change properties of the drug and helps prevent reactions between components, thereby avoiding drug safety issues. Using designed mathematical formulas, the temperature change properties of the drug are calculated based on the temperature change properties of each main component, its proportion, and the interaction properties between any two main components. These temperature change properties are then combined with the temperature of the non-cold chain environment to provide a precise scientific basis for determining the shelf life of the drug in the non-cold chain environment, facilitating subsequent drug scheduling during delivery.

[0041] Optionally, the vehicle information also includes vehicle geographical location information. The step of formulating a delivery strategy based on the drug information, the warehouse information, the vehicle information, and the non-cold chain environment shelf life includes:

[0042] Based on the warehouse information, the warehouse's geographical location information is obtained;

[0043] Based on the vehicle's geographical location information and the warehouse's geographical location information, route planning information is determined;

[0044] Based on the optimal vehicle information, the route planning information is analyzed to determine the vehicle's arrival time at the warehouse;

[0045] Based on the drug information, the warehouse information, the vehicle arrival time at the warehouse, and the shelf life in the non-cold chain environment, a stocking strategy is formulated.

[0046] The above technical solution first determines the warehouse's geographical location based on warehouse information, then determines route planning information based on the vehicle's geographical location and the warehouse's geographical location, reducing vehicle travel time and thus accelerating logistics speed and improving overall logistics efficiency. Next, based on optimal vehicle information and route planning information, the actual route conditions are obtained to ensure accurate vehicle arrival times at the warehouse. Based on these arrival times, the warehouse can prepare in advance to ensure immediate loading upon vehicle arrival. By comprehensively considering drug information, warehouse information, vehicle arrival times, and the shelf life of non-cold chain environments, an efficient loading strategy is developed, making the entire loading process smoother.

[0047] Optionally, after formulating a loading strategy based on the drug information, the warehouse information, the vehicle arrival time at the warehouse, and the non-cold chain environment shelf life, the method further includes:

[0048] Based on the drug information, determine the destination for drug delivery;

[0049] Based on the warehouse's geographical location information and the drug's delivery destination, the vehicle's starting point and ending point are determined.

[0050] Each feasible route is determined based on the vehicle's starting point and the vehicle's ending point;

[0051] Extract route information for each feasible route;

[0052] Analyze the route information to determine the route distance and road conditions;

[0053] Analyze the road conditions of the route to determine the bumpiness of the route;

[0054] Analyze the bumpiness of the route to determine the impact of the feasible route on the temperature of the medicine;

[0055] Based on the temperature effect, the feasible routes are selected to obtain a suitable route;

[0056] The travel time for each suitable route is determined based on its distance and road conditions.

[0057] The route information of the suitable route with the shortest travel time is used as transportation route planning information.

[0058] The above technical solution first identifies the destination of the medicines through the acquisition of the medicines, then uses the warehouse location as the transportation starting point and the destination as the transportation endpoint. All passable routes are screened, and the impact of road roughness on the medicine temperature is determined by considering the route's bumpiness. Routes with good bumpiness are selected, and the transportation time is calculated based on route distance and road conditions. The route with the shortest transportation time is chosen. By considering the impact of road roughness on temperature, the solution avoids potential large temperature fluctuations in the medicines during transportation, which could lead to quality changes. Furthermore, by selecting the shortest route from suitable options, the entire transportation process becomes more reliable and faster, minimizing the risk of chain disruptions due to transportation route factors. This provides a scientific strategy for transportation route planning.

[0059] Optionally, the step of formulating a loading strategy based on the drug information, the warehouse information, the vehicle arrival time at the warehouse, and the non-cold chain environment shelf life includes:

[0060] Based on the warehouse information, determine the total number of warehouse personnel and the total number of warehouse equipment.

[0061] By analyzing the total personnel information and total equipment information of the warehouse, personnel tasks and equipment tasks can be derived.

[0062] Based on the personnel tasks and the device tasks, determine the personnel information and device information for this outbound shipment;

[0063] Analyze the personnel information and the drug information to determine the personnel's unloading capacity;

[0064] Analyze the device information to determine the number and size of the devices;

[0065] The warehouse outbound capacity is determined based on the personnel unloading capacity, the number of devices, the device dimensions, and the dimensions of a single medicine item, referring to the following formula:

[0066] Where A is the warehouse outbound capacity, α is the personnel-equipment connection rate coefficient, C is the personnel unloading capacity, M is the number of equipment, and S is the number of equipment. d For the size of a single device, Sg This refers to the dimensions of a single medicine item;

[0067] Based on the personnel information, the warehouse's outbound capacity, vehicle arrival time, and the non-cold chain environment's shelf life, a loading strategy is formulated.

[0068] The above technical solution first obtains the total personnel and equipment information of the warehouse. Then, based on the task information of each person and each device, it determines the personnel and devices that can be used for this loading, providing a data foundation for the subsequent calculation of the warehouse's outbound capacity. By combining the unloading capacity of personnel, the number of devices, the size of devices, and the size of individual medicines, the warehouse's outbound capacity is calculated using mathematical formulas. This allows for a precise grasp of the warehouse's outbound capacity and provides reasonable basic information for subsequent coordination with vehicles. Based on the arrival time of vehicles, it is possible to calculate in advance when to start moving goods before they arrive, ensuring that vehicles do not wait for goods, and goods do not wait for vehicles after leaving the cold storage.

[0069] Optionally, the analysis of the personnel information and the drug information to determine the personnel's unloading capacity includes:

[0070] The weight of a single drug unit is determined based on the drug information and the packaging information.

[0071] The number of people required to load a single item is determined based on the volume and weight of the single item of medicine and the personnel information.

[0072] Based on the personnel information, determine the total number of people required for loading and unloading;

[0073] The unloading capacity of personnel is determined based on the total number of people loading goods and the number of people loading each item, referring to the following formula:

[0074] Where C represents the unloading capacity, N represents the total number of personnel loading goods, and n represents the number of personnel loading a single item.

[0075] The above technical solution first obtains the unit mass of the drug based on the drug information, then obtains the quantity of drugs in each package through the drug packaging information, thereby determining the unit mass of the drug. Combining the unit mass and unit volume of the drug, and considering human factors, it determines how many people are needed to load one package, which helps avoid waste of human resources and improves handling efficiency. Finally, based on the total number of people loading the package, the unloading capacity of the personnel is calculated using mathematical formulas, making the abstract handling capacity concrete and providing direct data for measuring unloading capacity. It can also flexibly arrange personnel for different goods, regardless of the size or weight of the goods, allowing for the most reasonable personnel arrangement.

[0076] Optionally, determining the number of people required to load a single item based on the volume and weight of the single item of medicine and the personnel information includes:

[0077] Based on the personnel information, determine the maximum volume and the maximum mass that a single person can carry.

[0078] The number of people required to load a single item is determined based on the maximum volume, the maximum mass, the volume of a single item of medicine, and the mass of a single item of medicine, referring to the following formula:

[0079] Where n is the number of people required to load a single item, and V max Let v be the maximum volume that a single person can move, and M be the volume of a single medicine item. max Let m be the maximum mass that a single person can carry, and m be the volume of a single medicine.

[0080] The above technical solution first determines the maximum volume and maximum weight that a single person can handle based on personnel information. Then, by combining the volume and weight of a single medicine item, the number of people required to load a single item is determined. By using mathematical formulas, personnel can be precisely arranged, which avoids both waste of human resources and danger caused by overworking personnel. Attached Figure Description

[0081] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0082] Figure 1 is a schematic diagram of an application scenario provided by an embodiment of this application;

[0083] Figure 2 is a flowchart of a big data-based intelligent management system for cold chain logistics warehousing provided in an embodiment of this application; Detailed Implementation

[0084] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0085] Furthermore, the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article, unless otherwise specified, generally indicates that the preceding and following related objects have an "or" relationship.

[0086] The embodiments of this application will now be described in further detail with reference to the accompanying drawings.

[0087] Existing intelligent cold chain logistics and warehousing management systems configure cold chain environments to ensure the quality of goods during warehousing and transportation based on the appropriate storage temperature. However, refrigeration conditions cannot be guaranteed during the transition from warehousing to transportation. For medicines that have strict temperature requirements, this can easily lead to chain breakage, causing changes in the efficacy of the medicine or even rendering it ineffective.

[0088] Based on this, this application provides a big data-based intelligent management system for cold chain logistics warehousing. According to the loading plan, it determines the information of the medicines to be loaded and the warehouse information where they are located. By analyzing the medicine information, it determines the suitable storage temperature for the medicines, and then analyzes the warehouse information to determine the warehouse environment information. Combining the suitable storage temperature and warehouse environment information with the medicine information, it calculates the shelf life of the medicines in a non-cold chain environment. This non-cold chain environment shelf life provides basic information for planning the subsequent process of loading medicines from the warehouse to the vehicle. Based on the suitable storage temperature and medicine information, it determines the vehicle information. Then, based on the medicine information, warehouse information, vehicle information, and non-cold chain environment shelf life, it formulates a loading strategy. Through the system provided in this application, starting from the loading plan, it obtains relevant medicine information and warehouse information, and intelligently formulates loading strategies, avoiding situations where medicines remain in a non-cold chain environment for too long during the loading process due to inaccurate or inefficient loading strategies, leading to changes in efficacy.

[0089] Figure 1 is a schematic diagram of an application scenario provided by this application. When loading medicines from a cold storage facility to a transport vehicle, the method provided by this application is applied to formulate different loading strategies according to the loading plan to ensure that the loading process is not interrupted.

[0090] Specifically, the method provided in this application can be applied to any server, and the server interacts with the cold chain logistics warehousing order management system.

[0091] The server retrieves and analyzes the loading plan from the cold chain logistics warehousing order management system, determines drug information and warehouse information, analyzes the drug information to determine the appropriate storage temperature, and, based on the drug information, warehouse information, and appropriate storage temperature, determines the shelf life of the drug in non-cold chain environments. Then, based on the appropriate storage temperature and drug information, it determines the vehicle information. Finally, based on the drug information, warehouse information, vehicle information, and shelf life in non-cold chain environments, it formulates a loading strategy for cold chain logistics warehousing managers to refer to. This allows for the customization of different loading strategies for different drugs, preventing chain disruptions caused by unsuitable loading strategies, which could alter the drug's efficacy.

[0092] For specific implementation details, please refer to the following examples.

[0093] Figure 2 is a flowchart of a big data-based cold chain logistics warehousing management system according to an embodiment of this application. The system of this embodiment can be applied to the server in the above scenario. As shown in Figure 2, the method includes:

[0094] S201. Obtain and analyze the stocking plan to determine drug information and warehouse information.

[0095] The shipment plan can be a pharmaceutical shipping plan tailored to the customer's requirements.

[0096] Drug information can be the drug information that the customer needs this time. Drug information can include the main ingredients of the drug, the quantity of the drug, the drug packaging information, and the suitable storage temperature of the drug.

[0097] The warehouse information can be the warehouse information of the location where the medicines are delivered. The warehouse information can include information on non-cold storage areas, warehouse geographical location, total warehouse personnel information, and total warehouse equipment information.

[0098] Specifically, after developing a stocking plan based on customer requirements, natural language processing technology is used to analyze the plan and extract key information, such as the drug information and warehouse information for this stocking.

[0099] S202. Analyze the drug information to determine the appropriate storage temperature.

[0100] The suitable storage temperature can be the ambient temperature at which the medicine is stored during storage and transportation to ensure that its efficacy does not change. This ambient temperature can be a range of temperatures.

[0101] Specifically, after determining the drug information, the instructions for use are obtained, and natural language processing technology is used to analyze the instructions for use to obtain the storage conditions of the drug, and the appropriate storage temperature of the drug is obtained from the storage conditions.

[0102] S203. Analyze the drug information, the warehouse information, and the suitable storage temperature to determine the non-cold chain environment shelf life of the drug.

[0103] The non-cold chain environment shelf life of pharmaceuticals can be the maximum time that pharmaceuticals requiring cold chain storage can be stored in an environment where the appropriate storage temperature has not been reached.

[0104] Specifically, natural language processing is used to analyze drug information, determine the main components of the drug, determine the impact of the warehouse on the drug based on warehouse information, and combine the main components of the drug, the impact of the warehouse on the drug, and the suitable storage temperature of the drug, through mathematical analysis, determine the maximum allowable storage time of the drug in an environment where the suitable storage temperature is not reached, i.e., the non-cold chain environment shelf life.

[0105] S204. Determine vehicle information based on the suitable storage temperature and the drug information.

[0106] Vehicle information can be the information of vehicles used for this drug delivery plan, including vehicle size, compartment temperature, optimal vehicle, number of vehicles, etc.

[0107] Specifically, based on the appropriate storage temperature of the medicine and the medicine information, the optimal vehicle and number of vehicles are determined, thereby determining the vehicle information.

[0108] S205. Based on the drug information, warehouse information, vehicle information, and non-cold chain environment shelf life, formulate a loading strategy for cold chain logistics warehouse management personnel to refer to.

[0109] Specifically, when loading is required, a loading strategy is formulated by taking into account drug information, warehouse information, vehicle information, and the shelf life in non-cold chain environments, using mathematical analysis. This strategy is then provided to cold chain logistics warehouse management personnel for reference, enabling reasonable arrangements and improving loading efficiency.

[0110] The method provided in this embodiment determines the information of the medicines to be loaded and the warehouse information based on the loading plan. By analyzing the medicine information and warehouse information, the suitable storage temperature of the medicines is determined, providing the necessary data foundation for subsequent loading strategy formulation. Based on the medicine information, warehouse information, and suitable storage temperature, the shelf life of the medicines in non-cold chain environments is calculated. During subsequent loading, it is clear how long the medicines need to be handled, avoiding prolonged storage in non-cold chain environments that could alter their efficacy. Based on the suitable storage temperature and medicine information, vehicle information is determined. Then, based on the medicine information, warehouse information, vehicle information, and shelf life in non-cold chain environments, a loading strategy is formulated. By precisely matching the suitable storage temperature of the medicines with the vehicle temperature conditions and the shelf life in non-cold chain environments, the medicines are ensured to be stored at the suitable temperature throughout the process, thus guaranteeing their efficacy. Furthermore, the formulation of the loading strategy also improves the efficiency of the entire cold chain vehicle dispatch, ensuring timely transportation of medicines.

[0111] In some embodiments, non-refrigerated area information is obtained based on warehouse information; the non-refrigerated area information is analyzed to determine the temperature of the non-refrigerated area; the main components of the drug are determined based on drug information; and the non-refrigerated area temperature, the main components of the drug, and the suitable storage temperature are analyzed to determine the shelf life of the drug in the non-cold chain environment.

[0112] Information on non-refrigerated areas can be information about areas within the warehouse other than the cold storage for storing medicines. This information includes the temperature of the non-refrigerated areas.

[0113] The temperature of the non-refrigerated area can be the ambient temperature of the area outside the cold storage where medicines are stored in the warehouse.

[0114] The main components of a drug can be the main components that constitute the drug and have medical effects. It can be a single compound or multiple compounds. In a specific implementation, various drugs and their information are stored in a drug database, and the main components of a drug can be obtained by querying the drug information in the drug database.

[0115] Specifically, the warehouse information is first used to determine the area information within the warehouse excluding the cold storage for storing medicines. The ambient temperature of this area is then extracted using temperature sensors as the temperature of the non-cold storage area. Based on the medicine information, the main components of the medicine are obtained by querying the medicine database. Combining the temperature of the non-cold storage area, the main components of the medicine, and the suitable storage temperature of the medicine, mathematical analysis is used to determine the shelf life of the medicine in the non-cold chain environment.

[0116] The method provided in this embodiment obtains information about non-refrigerated areas within the warehouse through warehouse information, analyzes this information to determine the temperature of the non-refrigerated areas, identifies the main components of the drug based on drug information, and finally combines the analysis of non-refrigerated area information, main drug components, and suitable storage temperature to determine the shelf life of the drug in the non-cold chain environment. The entire process achieves temperature monitoring of the non-refrigerated areas, ensuring temperature accuracy and real-time performance, avoiding errors from manual operation, and obtaining drug components. This ensures a more accurate assessment of the shelf life of drug components in the non-cold chain environment, providing sufficient information to support the determination of the shelf life and improving the level of drug safety assurance.

[0117] In some embodiments, drug quantity and drug packaging information are obtained based on drug information; the number of drug units is determined based on the drug quantity and drug packaging information; the size of each drug unit is determined based on the drug packaging information; and vehicle information is determined based on the number of drug units, suitable storage temperature, and the size of each drug unit.

[0118] The quantity of medicines can be the quantity of medicines needed in this delivery plan, and the unit of quantity can be one box or one bottle.

[0119] The drug packaging information can be the packaging information of the drugs delivered this time, including the individual dimensions of the drug, the packaging material, and the shape of the packaging.

[0120] The number of medicine packages can refer to the number of medicines packaged after being delivered this time. The number of medicine packages is the smallest handling unit during transportation.

[0121] The dimensions of a single medicine item can be the dimensions of the packaged medicine after it has been packaged.

[0122] Specifically, first, based on the drug information, the quantity and packaging information of the drugs to be shipped are obtained to determine the number of drugs needed for packaging at one time. Then, the quantity of drugs is divided by the quantity of drugs needed per package to obtain the number of packages. Next, based on the packaging information, the size of each package is determined. Finally, considering the number of packages, the size of each package, and the suitable storage temperature of the drugs, vehicles that can provide the suitable storage temperature are selected. Then, through calculation, the vehicle size and number of vehicles are determined from these vehicles. The vehicle with the best matching size is selected as the optimal vehicle, and the information of the optimal vehicle is used as the vehicle information.

[0123] The method provided in this embodiment obtains the quantity and packaging information of the drugs based on the drug information. The total number of drug units is determined by the quantity and packaging information, and the size of each drug unit is determined by the packaging information. Finally, the vehicle information is determined by the number of drug units, the size of each drug unit, and the suitable storage temperature of the drugs. Multi-dimensional data analysis ensures the accuracy of vehicle information, improves vehicle utilization efficiency, and provides a scientific strategy for subsequent vehicle scheduling.

[0124] In some embodiments, the volume of a single drug unit is determined based on its individual unit size; suitable storage vehicle information is determined based on a suitable storage temperature; the number of units to be loaded in each suitable storage vehicle is determined based on the suitable storage vehicle information and the individual drug unit size; the optimal vehicle is selected from the suitable storage vehicle information based on the individual drug unit volume and the number of units to be loaded in each suitable storage vehicle, and the optimal vehicle information is extracted; the number of vehicles is determined based on the number of drug units and the number of units to be loaded in the optimal vehicle; and the vehicle information is determined based on the optimal vehicle information and the number of vehicles.

[0125] The volume of a single drug unit can be the volume of the drug after packaging, and it can be calculated from the dimensions of the single drug unit.

[0126] Suitable storage vehicle information can include information on refrigerated vehicles that can provide the appropriate storage temperature for medicines.

[0127] The best vehicle information is the vehicle with the highest space utilization rate among the suitable storage vehicles used to transport this medicine.

[0128] The number of items loaded can be the optimal number of medicines that a vehicle can carry at one time.

[0129] The number of vehicles can be the optimal number of vehicles to participate in this shipment.

[0130] Specifically, first, the shape of the drug packaging is determined based on the drug packaging information. Then, the volume of a single drug package is calculated using the volume calculation formula for the drug packaging shape based on the drug packaging dimensions. Next, based on the suitable storage temperature of the drug, a vehicle capable of setting the compartment temperature to the suitable storage temperature is selected as the suitable vehicle. Then, based on the single drug package dimensions and volume, a compartment with dimensions close to an integer multiple of the single drug package dimensions is selected from the suitable vehicles. The number of packages that can be loaded in these compartments is calculated, and the compartment volume is calculated using the compartment dimensions. The single drug package volume is multiplied by the number of packages that can be loaded in the suitable vehicle to obtain the volume of drug transported in one vehicle. The volume of drug transported in one vehicle is divided by the compartment volume to obtain the space utilization rate of the compartment. The suitable vehicle with the highest space utilization rate is selected as the optimal vehicle. Based on the number of packages loaded in the optimal vehicle and the number of drug packages, the required number of vehicles is determined. This can be calculated by dividing the number of drug packages by the number of packages loaded and rounding up. The optimal vehicle information and the number of vehicles are then used to determine the vehicle information.

[0131] For example, if the medicine packaging is a cuboid with dimensions of 1 meter long, 2 meters wide, and 1 meter high, there are two suitable vehicles: one with a cargo box length of 9.2 meters, a width of 4.5 meters, and a height of 2 meters (hereinafter referred to as vehicle A), and another with a cargo box length of 7.8 meters, a width of 3 meters, and a height of 1.5 meters (hereinafter referred to as vehicle B). Vehicle A can accommodate 9 medicines in length, 2 medicines in width, and 2 medicines in height. Therefore, vehicle A can transport 9 × 2 × 2 = 36 medicines, with a volume of 36 × 1 × 1 × 2 = 72 cubic meters. The cargo box volume is 9.2 × 4.5 × 2 = 82.8 cubic meters. The space utilization rate of carriage A is 87%, and similarly, the space utilization rate of carriage B is 40%. Therefore, in this example, carriage A is determined as the optimal vehicle. The number of vehicles is determined based on the number of medicines and the number of items loaded in the optimal vehicle. The calculation method is: number of medicines / number of items loaded in the optimal vehicle. The result is rounded up to get the number of vehicles. For example, if there are 100 medicines, and one optimal vehicle can carry 19 medicines, then the required number of vehicles is 100 / 19 rounded up, which is 6. Therefore, this transportation requires 6 optimal vehicles. The optimal vehicle information and the number of optimal vehicles are used to determine the vehicle information.

[0132] The method provided in this embodiment calculates the volume of a single medicine unit based on its dimensions, then selects suitable vehicles based on the optimal storage temperature for the medicine. The number of items a vehicle can carry is calculated based on the vehicle's information. Finally, based on the volume of the single medicine unit and the number of items carried, the vehicle with the highest space utilization rate is determined as the optimal vehicle. The number of vehicles is then determined based on the number of medicine units and the number of items carried. The optimal vehicle information and the number of vehicles are then used as the vehicle information. By selecting suitable vehicles, it is ensured that the vehicles can provide the appropriate storage temperature for the medicine. Furthermore, by calculating space utilization, it is ensured that transportation vehicle resources are highly utilized, saving transportation costs.

[0133] In some embodiments, based on drug information, the proportion of the main drug components is determined; the main drug components are analyzed to determine the component characteristics of each main drug component; the component characteristics are analyzed to determine the temperature change properties of each main drug component; based on the component characteristics, it is determined whether any two main drug components have mutual influence properties; if so, based on the temperature change properties of each main drug component, the component proportion, and the mutual influence properties of any two main drug components, the temperature change properties of the drug are determined; the temperature change properties of the non-refrigerated area and the drug temperature change properties are analyzed to determine the non-cold chain environment shelf life of the drug.

[0134] Based on the temperature change properties of each drug's main components, the component ratios, and the interaction properties between any two drug's main components, the temperature change properties of the drug are determined. Refer to formula (1) to determine the temperature change properties of the drug:

[0135] Among them, V mix For the temperature change properties of drugs, v i p represents the temperature change properties of the main component of the i-th drug. i Let be the proportion of the main component of the i-th drug in the drug, n be the total number of main components of the drug, and A be the interaction matrix. ij Let represent the interaction properties between the main components of drug i and drug j.

[0136] The proportion of the main components of a drug can be the percentage of the main components that make up the drug in the drug, and the sum of the percentages of each component is 1.

[0137] Component characteristics can refer to the physical and chemical properties of the components that make up a drug.

[0138] Temperature change property refers to the property of a drug's main component to change its temperature over time under certain environmental temperature conditions.

[0139] Mutual influence can refer to the property of two drugs whose main components, when mixed together in a certain proportion, cause changes in their physical and chemical properties.

[0140] The property of drug temperature change refers to the property of a drug in changing its own temperature over time under certain environmental temperature conditions.

[0141] Specifically, by consulting the drug instructions, the proportions of the main components are obtained. Based on these main components, their chemical formulas and names are derived. Using these names and chemical formulas, the structural formulas of the main components are determined. The structural formulas are then analyzed to identify the number of chemical bonds and functional groups present. Based on the types and quantities of these bonds and functional groups, the physical and chemical properties of the main components are determined. From these physical and chemical properties, the component characteristics of the main components can be identified, thus determining their temperature-dependent properties. Next, the interactions between the main components are considered. When two components are mixed, based on their structural formulas and the drug's form (liquid or capsule), it is determined whether a reaction will occur. If a reaction occurs, the functional groups and chemical bonds contained in the structural formulas of the two main components are analyzed to determine the reaction outcome and thus the nature of their mutual influence. Finally, the temperature change properties of the drug are determined by formula (1) based on the temperature change properties of each drug's main components, the component ratio, and the mutual influence properties of any two drug's main components. Then, based on the temperature change properties of the drug and the temperature of the non-refrigerated area, the time it takes for the drug to deteriorate under the temperature of the non-refrigerated area is determined, that is, the non-cold chain environment shelf life of the drug is determined.

[0142] This embodiment provides a method for in-depth analysis of the main components of a drug, obtaining their temperature change properties and the interaction properties between them. This understanding of interaction properties helps to more accurately determine the drug's temperature change properties and prevent reactions between components, thus avoiding drug safety issues. Using designed mathematical formulas, the temperature change properties of the drug are calculated based on the temperature change properties of each main component, its proportion, and the interaction properties between any two main components. These temperature change properties are then combined with the temperature of a non-cold chain environment to provide a precise scientific basis for determining the drug's shelf life in a non-cold chain environment, facilitating subsequent drug scheduling during delivery.

[0143] In some embodiments, warehouse location information is obtained based on warehouse information; route planning information is determined based on vehicle location information and warehouse location information; the route planning information is analyzed based on optimal vehicle information to determine the vehicle arrival time at the warehouse; and a loading strategy is formulated based on drug information, warehouse information, vehicle arrival time at the warehouse, and the shelf life in non-cold chain environments.

[0144] Warehouse location information can be information that reveals the geographical location of the warehouse where the goods are being delivered. This location information can include latitude and longitude coordinates.

[0145] Vehicle geolocation information can be information that reveals the location of the best vehicle to participate in this delivery, and vehicle geolocation information can include latitude and longitude information.

[0146] Route planning information can be route selection information from one place to another according to certain standards. In this embodiment, the starting point of the route planning is the current location of the vehicle, and the ending point of the route planning is the location of the warehouse.

[0147] Specifically, based on warehouse information, the warehouse's latitude and longitude are obtained, and its geographical location is determined accordingly. Combined with vehicle geographical location information, the vehicle's current location is set as the starting point, and the warehouse location as the destination. Using a third-party platform, all feasible routes are selected. Among these, the route with the shortest travel time is chosen, and this route information is used as the path planning information. Then, based on the optimal vehicle information, the optimal vehicle performance indicators are obtained, and the optimal vehicle speed is determined. Road condition information for the route with the shortest travel time is obtained from the third-party platform, and the route's traffic conditions are assessed. By combining vehicle and route information, the vehicle's arrival time at the warehouse is determined. Based on this arrival time, the warehouse can prepare in advance, allowing for immediate loading upon vehicle arrival, avoiding excessive waiting times. This improves loading efficiency and establishes a scientific loading strategy.

[0148] The method provided in this embodiment first determines the warehouse's geographical location based on warehouse information, and then determines route planning information based on the vehicle's geographical location and the warehouse's geographical location. This reduces vehicle travel time, thereby accelerating logistics speed and improving overall logistics efficiency. Furthermore, by combining optimal vehicle information with route planning information, the actual route conditions are obtained to ensure an accurate vehicle arrival time at the warehouse. Based on the vehicle arrival time, the warehouse can prepare in advance to ensure immediate loading upon vehicle arrival. By comprehensively considering drug information, warehouse information, vehicle arrival time, and non-cold chain environment quality assurance time, an efficient loading strategy is developed, making the entire loading process smoother.

[0149] In some embodiments, the destination of drug delivery is determined based on the drug information; the vehicle transportation origin and destination are determined based on the warehouse geographical location information and the drug transportation destination; each feasible route is determined based on the vehicle origin and destination; route information of each feasible route is extracted; the route information is analyzed to determine the route distance and road conditions; the road conditions are analyzed to determine the route bumpiness; the road bumpiness is analyzed to determine the impact of the feasible route on the temperature of the drug; the feasible routes are screened based on the temperature impact to obtain suitable routes; the travel time of each suitable route is determined based on the route distance and road conditions; and the route information of the suitable route with the shortest travel time is used as transportation route planning information.

[0150] Route bumpiness can refer to the degree of bumpiness experienced by passing vehicles along a feasible route, determined by road conditions. In specific implementations, route bumpiness can be a part of the road conditions, which can be obtained from a third-party platform. To avoid errors in the information from the third-party platform, the road condition information is also obtained by the driver during actual transportation based on the driver's historical transportation data. The driver feeds back the road condition information they have obtained to the system, and then the road condition information is stored in the route database.

[0151] The temperature of medicines can be affected by factors such as road bumps causing changes in the placement of medicines and changes in heat dissipation, which in turn can lead to changes in the temperature of the medicines.

[0152] A feasible route can be any route that can be reached from the origin of the vehicle transport to the destination of the vehicle transport.

[0153] A suitable route is one where bumpy roads will not significantly affect the medicine.

[0154] Transportation route planning information can be the information of the route selected for this transportation.

[0155] Specifically, the destination of the medicines is obtained from the drug information, with the location of the warehouse where the goods are being delivered as the starting point of the vehicle transportation, and the destination as the ending point. All feasible routes and road condition information between these two locations are obtained from a third-party platform. Based on the feasible routes, distance data and road conditions are obtained, and travel time is calculated. Combining the road condition information from the third-party platform and the route database, the extent of bumps in the route is determined. By calculating the lengths of bump-free sections, slightly bumpy sections, and severely bumpy sections, the route bumpiness is assessed. When the road conditions for some sections are unknown, a simple judgment can be made based on the route information.

[0156] The impact of route bumps on drug temperature is determined by analyzing the proportion of bump-free, slightly bumpy, and severely bumpy road sections and the degree of bumpiness. For example, in a certain transportation route, the requirement is that the proportion of bumpy road sections (including severely bumpy and slightly bumpy sections) is less than 30%, and severely bumpy sections do not exceed 10%. Information from a third-party platform and route database indicates that 70% of the road sections are bump-free, 20% are slightly bumpy, and the condition of the remaining road sections is unknown. Therefore, the bumpiness of the remaining road sections is determined based on the road type: highways are considered bump-free, national and provincial highways are slightly bumpy, and county and township roads are severely bumpy. If the remaining road sections are identified as severely bumpy, then the combined proportion of severely bumpy and slightly bumpy sections on this route is 30%, and the proportion of severely bumpy sections is 10%. This indicates that the bumpiness of this route has an excessive impact on drug temperature and is unsuitable for this transportation; the route needs to be replanned. It should be noted that the requirements for the route may vary for each transport, and the above content in this embodiment is only an example.

[0157] All routes that meet the requirements for the proportion of each road segment and have good bump conditions are identified as suitable routes. Based on the travel time of suitable routes, the route with the shortest travel time is identified as the transportation route, and this transportation route information is identified as transportation route planning information.

[0158] The method provided in this embodiment first identifies the destination of the medicines through the medicines themselves, then uses the warehouse location as the starting point and the destination as the ending point. All passable routes are screened, and the impact of road roughness on the medicine temperature is determined by considering the route's bumpiness. Routes with good bumpiness are selected, and the transportation time is calculated based on route distance and road conditions. The route with the shortest transportation time is chosen. By considering the impact of road roughness on temperature, the method avoids potential quality changes due to large temperature fluctuations in the medicines caused by route factors during transportation. Furthermore, by selecting the shortest route from suitable options, the entire transportation process becomes more reliable and faster, minimizing the risk of chain disruptions caused by transportation route factors. This provides a scientific strategy for transportation route planning.

[0159] In some embodiments, based on warehouse information, the total number of warehouse personnel and the total number of warehouse equipment are determined; the total number of warehouse personnel and the total number of warehouse equipment are analyzed to derive personnel tasks and equipment tasks; based on the personnel tasks and equipment tasks, the personnel information and equipment information used for this outbound shipment are determined; the personnel information and drug information are analyzed to determine the personnel unloading capacity; the equipment information is analyzed to determine the number of equipment and the size of the equipment; based on the personnel unloading capacity, the number of equipment, the size of the equipment, and the size of a single drug item, the warehouse outbound capacity is determined; and based on the personnel information, the warehouse outbound capacity, the vehicle arrival time, and the shelf life in non-cold chain environments, a loading strategy is formulated.

[0160] The warehouse outbound capacity is determined based on personnel unloading capacity, number of equipment, equipment dimensions, and individual drug unit dimensions. Refer to formula (2) to determine the warehouse outbound capacity:

[0161] Where A is the warehouse outbound capacity, α is the personnel-equipment connection rate coefficient, C is the personnel unloading capacity, M is the number of equipment, and S is the number of equipment. d For the size of a single device, S g This refers to the dimensions of a single medicine item.

[0162] The total personnel information for the warehouse can be the information of all personnel currently in the warehouse.

[0163] The total equipment information of the warehouse can be information on all the various devices in the current warehouse that can be used for loading goods.

[0164] Personnel tasks can be tasks that personnel in the warehouse are currently engaged in.

[0165] The device task can be the task that various devices in the warehouse are currently participating in.

[0166] Personnel unloading capacity can be the minimum unloading capacity possessed by the personnel participating in this task. The standard for measuring unloading capacity can be the volume or weight of the cargo.

[0167] Warehouse outbound capacity can describe the speed at which a warehouse can unload goods from cold storage and then move them to vehicles.

[0168] Specifically, warehouse information can reveal how many people and equipment are in the warehouse, and whether these people and equipment are currently on a task. If not, these people and equipment will be used to participate in the current loading plan. For example, if there are 50 people and 10 forklifts in the warehouse, but 20 people and 5 forklifts are performing other tasks, then the remaining 30 people and 5 forklifts will be used to participate in the current loading plan. Equipment can also include elevators, etc.

[0169] Based on the personnel information involved in the task and the drug information, the unloading capacity of the personnel is analyzed. Based on the basic information of the equipment, the quantity and size of the equipment are obtained. The warehouse outbound capacity is then calculated using a formula. α is the human-equipment connection rate coefficient, which is related to the skill level of the personnel and the type of equipment. It needs to be obtained through previous actual handling experience, with a maximum value of 1 indicating seamless connection. For example, if the personnel involved in this loading plan are all highly skilled employees, and the equipment type is a small, simple device, then the human-equipment connection rate coefficient will be infinitely close to 1. The larger the value of the equipment size compared to the size of a single drug item, the higher the coefficient will be. The closer to 1, the greater the warehouse's outbound capacity. Substitute the number of devices, device size, and individual drug room size into formula (2) to obtain the warehouse's outbound capacity. After obtaining the outbound capacity, combine it with personnel information, vehicle arrival time, and non-cold chain environment quality assurance time to formulate a loading strategy.

[0170] The method provided in this embodiment first obtains the total personnel information and total equipment information of the warehouse. Then, based on the task information of each person and each device, it determines the personnel and devices that can be used for this loading, providing a data foundation for the subsequent calculation of the warehouse's outbound capacity. By combining the unloading capacity of personnel, the number of devices, the size of devices, and the size of individual medicines, the warehouse's outbound capacity is calculated using mathematical formulas. This allows for an accurate grasp of the warehouse's outbound capacity and provides reasonable basic information for subsequent coordination with vehicles. Based on the arrival time of the vehicles, it is possible to calculate in advance when to start moving goods before they arrive, ensuring that vehicles do not wait for goods, and goods do not wait for vehicles after leaving the cold storage.

[0171] In some embodiments, the weight of a single drug unit is determined based on drug information and packaging information; the number of personnel required to load a single drug unit is determined based on the volume and weight of the single drug unit and personnel information; the total number of personnel required to load a single drug unit is determined based on the personnel information; and the unloading capacity of personnel is determined using formula (3) based on the total number of personnel required to load a single drug unit and the number of personnel required to load a single drug unit.

[0172] Where C represents the unloading capacity, N represents the total number of personnel loading goods, and n represents the number of personnel loading a single item.

[0173] The number of people required to load a single item is the number of people needed to load one item. This number can be less than 1, meaning that one person can move multiple items at once.

[0174] Specifically, based on the drug information, the unit mass of the drug is obtained, and based on the packaging information, the number of drugs in one piece is determined, and the quantity of drugs in one piece is determined. Based on the unit mass of the drug and the quantity of drugs in one piece, the mass of a single piece of drug is calculated. The calculation method is: quantity × unit mass. Then, combined with the maximum mass and maximum volume that one person can carry, the number of people required for each piece is determined. If the drug mass and volume are too large, it may require multiple people to carry one piece at a time. If the drug mass and volume are small, one person can carry multiple pieces at a time. Based on the total number of people involved in loading, the unloading capacity of the personnel is determined by formula (3).

[0175] The method provided in this embodiment first obtains the unit mass of the drug based on the drug information, then obtains the quantity of drug in each package through the drug packaging information, thereby determining the unit mass of the drug. Combining the unit mass and unit volume of the drug, and considering human factors, determines how many people are needed to load one package, which helps to avoid waste of human resources and improve handling efficiency. Finally, based on the total number of people loading the package, the unloading capacity of the personnel is calculated using mathematical formulas, making the abstract handling capacity concrete and providing direct data for measuring unloading capacity. It can also flexibly arrange personnel for different goods, regardless of the size or weight of the goods, allowing for the most reasonable personnel arrangement.

[0176] In some embodiments, the maximum volume and maximum mass that a single person can handle are determined based on personnel information; the number of people required to load a single item is determined using formula (4) based on the maximum volume, maximum mass, single item volume of medicine, and single item mass of medicine.

[0177] Where n is the number of people required to load a single item, and V max Let v be the maximum volume that a single person can move, and M be the volume of a single medicine item. max Let m be the maximum mass that a single person can carry, and m be the volume of a single medicine.

[0178] Specifically, based on personnel information, the maximum volume and maximum weight that a single person can carry are determined according to the height and strength of the weakest person among the personnel. The maximum weight that a single person can carry is determined by dividing the maximum volume carried by a single person by the volume of a single medicine and rounding down, and dividing the maximum weight carried by a single person by the weight of a single medicine and rounding down. The smaller value between the two is selected as the number of people required to load a single item.

[0179] The maximum volume that a person can move can be based on their height. Multiplying the height by the first base number gives the maximum length of the medicine that can be moved, multiplying the height by the second base number gives the maximum width of the medicine that can be moved, and multiplying the height by the third base number gives the maximum height of the medicine that can be moved. The maximum moving weight of a person needs to take muscle endurance into account. When there are many medicines, continuous work is required, so the maximum weight may be too small. When there are few medicines, only a few moves are needed to complete the move, so the maximum weight may be too large. For example, if the weakest member is a male who is 170cm tall and weighs 60kg, with the first base number being 0.6, the second base number being 0.3, and the third base number being 0.3, then the maximum volume he can move can be considered to be no more than 170cm × 0.6 in length and no more than 170cm × 0.3 in width and height. Since there are many medicines, the maximum weight cannot exceed 15kg. If the maximum volume of a single medicine does not exceed the maximum moveable volume, but the weight is 25kg, then the number of people needed to move one medicine is 25 / 15 rounded up, which is 2 people. If both the maximum volume and maximum weight of a single medicine are small, then one person can move multiple medicines. It should be noted that the base numbers are not necessarily the same each time they are moved, depending on the medicine situation and personnel information. The base numbers mentioned above are only examples in this embodiment.

[0180] The method provided in this embodiment first determines the maximum volume and maximum mass that a single person can carry based on personnel information. By combining the volume and mass of a single medicine item, the number of people required to load a single item is determined. By using mathematical formulas, personnel can be accurately arranged, which avoids both waste of human resources and danger caused by overworking personnel.

Claims

1. A big data-based cold-chain logistics and warehousing intelligent management system, characterized in that, The method comprises the following steps: acquiring and analyzing the loading plan to determine the medicine information and warehouse information; analyzing the medicine information to determine the suitable storage temperature; analyzing the medicine information, the warehouse information and the suitable storage temperature to determine the non-cold-chain environment guarantee time of the medicine; determining the vehicle information according to the suitable storage temperature and the medicine information; formulating the loading strategy according to the medicine information, the warehouse information, the vehicle information and the non-cold-chain environment guarantee time for the reference of the cold-chain logistics and storage management personnel.

2. The system of claim 1, wherein, The step of analyzing the medicine information, the warehouse information and the suitable storage temperature to determine the non-cold-chain environment guarantee time of the medicine comprises the following steps: obtaining the non-cold storage area information according to the warehouse information; analyzing the non-cold storage area information to determine the non-cold storage area temperature; determining the main components of the medicine according to the medicine information; analyzing the non-cold storage area temperature, the main components of the medicine and the suitable storage temperature to determine the non-cold-chain environment guarantee time of the medicine.

3. The system of claim 1, wherein, The step of determining the vehicle information according to the suitable storage temperature and the medicine information comprises the following steps: obtaining the medicine quantity and the medicine packaging information according to the medicine information; determining the medicine piece number according to the medicine quantity and the medicine packaging information; determining the single-piece size of the medicine according to the medicine packaging information; determining the vehicle information according to the medicine piece number, the suitable storage temperature and the single-piece size of the medicine.

4. The system of claim 3, wherein, The step of determining the vehicle information according to the medicine piece number, the suitable storage temperature and the single-piece size of the medicine comprises the following steps: determining the single-piece volume of the medicine according to the single-piece size of the medicine; determining the suitable storage vehicle information according to the suitable storage temperature; determining the loading piece number of each suitable storage vehicle according to the suitable storage vehicle information and the single-piece size of the medicine; selecting the best vehicle from the suitable storage vehicle information according to the single-piece volume of the medicine and the loading piece number of each suitable storage vehicle, and extracting the best vehicle information; determining the vehicle quantity according to the medicine piece number and the loading piece number of the best vehicle; determining the vehicle information according to the best vehicle information and the vehicle quantity.

5. The system of claim 2, wherein, The step of analyzing the non-cold storage area temperature, the main components of the medicine and the suitable storage temperature to determine the non-cold-chain environment guarantee time of the medicine comprises the following steps: determining the proportion of the main components of the medicine according to the medicine information; analyzing the main components of the medicine to determine the component characteristics of each main component of the medicine; analyzing the component characteristics to determine the temperature change property of each main component of the medicine; determining whether there is the mutual influence property between any two main components of the medicine according to the component characteristics; If present, the drug temperature change property is determined according to the temperature change property of each drug main component, the proportion of the components and the mutual influence property of any two drug main components, according to the following formula: where V mix is the temperature change property of the drug, v i is the temperature change property of the i-th drug principle, p i is the proportion of the i-th drug principle in the drug, n is the total number of drug principles, A is the interaction matrix, A ij is the interaction property of the i-th drug principle with the j-th drug principle; analyzing the non-cold storage area temperature and the temperature change property of the medicine to determine the non-cold-chain environment guarantee time of the medicine.

6. The system of claim 4, wherein, The vehicle information further comprises the geographical position information of the vehicle, and the step of formulating the loading strategy according to the medicine information, the warehouse information, the vehicle information and the non-cold-chain environment guarantee time comprises the following steps: obtaining the geographical position information of the warehouse according to the warehouse information; determining the path planning information according to the geographical position information of the vehicle and the geographical position information of the warehouse; According to the optimal vehicle information, the path planning information is analyzed to determine a vehicle arrival time at the warehouse; According to the drug information, the warehouse information, the vehicle arrival time at the warehouse and the non-cold-chain environment quality assurance time, a loading strategy is formulated.

7. The system of claim 6, wherein, After the loading strategy is formulated according to the drug information, the warehouse information, the vehicle arrival time at the warehouse and the non-cold-chain environment quality assurance time, the method further comprises: According to the drug information, a drug delivery destination is determined; According to the warehouse geographic location information and the drug delivery destination, a vehicle transportation starting point and a vehicle transportation ending point are determined; According to the vehicle starting point and the vehicle ending point, each feasible route is determined; According to each feasible route, route information of each feasible route is extracted; The route information is analyzed to determine a route distance and a route condition; The route condition is analyzed to determine a route bumping situation; The route bumping situation is analyzed to determine a temperature influence of the feasible route on the drug; According to the temperature influence, the feasible route is screened to obtain a suitable route; According to the route distance and the route condition of each suitable route, a passing time of the suitable route is determined; The route information of the suitable route with the shortest passing time is taken as the transportation path planning information.

8. The system of claim 6, wherein, The loading strategy is formulated according to the drug information, the warehouse information, the vehicle arrival time at the warehouse and the non-cold-chain environment quality assurance time, comprising: According to the warehouse information, warehouse total personnel information and warehouse total device information are determined; The warehouse total personnel information and the warehouse total device information are analyzed to obtain personnel tasks and device tasks; According to the personnel tasks and the device tasks, personnel information and device information used for this time of warehouse delivery are determined; The personnel information and the drug information are analyzed to determine personnel unloading capacity; The device information is analyzed to determine device quantity and device size; Based on the personnel unloading capacity, the number of devices, the device size and the single piece size of the drug, the warehouse out-of-warehouse capacity is determined, referring to the following formula: Where A is the warehouse out capacity, a is the human and device engagement rate coefficient, C is the personnel unloading capacity, M is the number of devices, S d is the size of a single device, S g is the size of a single drug According to the personnel information, the warehouse delivery capacity, the vehicle arrival time and the non-cold-chain environment quality assurance time, a loading strategy is formulated.

9. The system of claim 8, wherein, The personnel unloading capacity is determined by analyzing the personnel information and the drug information, comprising: According to the drug information and the packaging information, a single-piece mass of the drug is determined; According to the single-piece volume of the drug, the single-piece mass of the drug and the personnel information, a single-piece loading number of personnel is determined; According to the personnel information, a total number of loading personnel is determined; According to the total number of loading persons and the single piece loading number, the personnel unloading capacity is determined, and the following formula is referred to: Wherein, C is the personnel unloading capacity, N is the total number of loading personnel, and n is the single-piece loading number of personnel.

10. The system of claim 8, wherein, The single-piece loading number of personnel is determined according to the single-piece volume of the drug, the single-piece mass of the drug and the personnel information, comprising: According to the personnel information, a maximum volume carried by a single person and a maximum mass carried by a single person are determined; According to the maximum volume, the maximum mass, the single-piece volume of the medicine and the single-piece mass of the medicine, the number of single-piece loading persons is determined, and the following formula is referred to: where n is the number of pieces of goods, V max is the maximum volume of a single person, v is the volume of a single piece of medicine, M max is the maximum mass of a single person, m is the volume of a single piece of medicine.

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