Smart management system for cold chain logistics warehouse based on big data

Abstract

To provide a smart management system for a cold chain logistics warehouse based on big data.SOLUTION: The smart management system includes a step of obtaining and analyzing a loading plan to determine drug information and warehouse information, a step of analyzing the drug information to determine an appropriate storage temperature, a step of analyzing the drug information, the warehouse information and the appropriate storage temperature to estimate a quality guarantee time of the drug in a non-cold chain environment, a step of determining vehicle information based on the appropriate storage temperature and the drug information, and a step of formulating a loading strategy for cold chain logistics warehouse management to refer to based on the drug information, the warehouse information, the vehicle information and the quality guarantee time in the non-cold chain environment.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present application relates to the technical field of warehousing and logistics, and in particular to a smart management system for cold chain logistics warehouses based on big data. [Background technology]

[0002] A cold chain logistics warehouse management system is a warehouse management system specialized for the cold chain logistics process, and aims to comprehensively monitor and manage environmental factors such as temperature and humidity during the cold chain logistics process. The current mainstream method is to monitor cargo information through sensors with IoT functions to achieve cargo monitoring and management.

[0003] Traditional smart management systems for cold chain logistics warehouses are unable to adequately provide comprehensive monitoring and timely management for pharmaceuticals, which have strict requirements when loaded into warehouses. As a result, temperature changes can cause pharmaceuticals to no longer meet warehouse storage requirements, resulting in quality changes and significant losses. Summary of the Invention [Problem to be solved by the invention]

[0004] To solve the above problems, the present application provides a smart management system for cold chain logistics warehouses based on big data. [Means for solving the problem]

[0005] In a first aspect, the present application provides a smart management system for a cold chain logistics warehouse based on big data, the system comprising: obtaining and analyzing a loading plan and determining drug information, warehouse information; analyzing the pharmaceutical information and determining an appropriate storage temperature; analyzing the drug information, the warehouse information, and the appropriate storage temperature to estimate a quality assurance time of the drug in a non-cold chain environment; determining vehicle information based on the appropriate storage temperature and the drug information; and Formulating a loading strategy for reference by cold chain logistics warehouse management based on the drug information, the warehouse information, the vehicle information and the quality assurance time in the non-cold chain environment.

[0006] The above technical measures determine the drug information to be loaded and the warehouse information for the loading location based on the loading plan. Analyzing the drug information and warehouse information determines the appropriate storage temperature for the drug, providing the data foundation for subsequent loading strategy formulation. Furthermore, based on the drug information, warehouse information, and appropriate drug storage temperature, the drug's quality assurance time in a non-cold chain environment can be estimated. This allows for a clear understanding of the time within which the drug should be transported during subsequent loading, preventing the drug's efficacy from changing due to prolonged storage in a non-cold chain environment. Vehicle information is determined based on the appropriate drug storage temperature and drug information. A loading strategy is then formulated based on the drug information, warehouse information, vehicle information, and the quality assurance time in a non-cold chain environment. Accurately matching the appropriate drug storage temperature, vehicle temperature conditions, and the quality assurance time in a non-cold chain environment ensures that the drug is stored at the appropriate temperature throughout the entire process, ensuring its efficacy. Furthermore, formulating a loading strategy improves the efficiency of cold chain vehicle allocation and ensures the timely transport of drugs.

[0007] Alternatively, the step of analyzing the drug information, the warehouse information, and the appropriate storage temperature and estimating the quality assurance time of the drug in a non-cold chain environment may be configured as follows: Obtaining non-refrigerated area information based on the warehouse information; analyzing the non-refrigerated area information to determine a temperature of the non-refrigerated area; determining the main ingredient of the drug based on the drug information; and Analyzing the temperature of the non-refrigerated area, the main ingredients of the medicine, and the appropriate storage temperature to estimate the quality assurance time of the medicine in a non-cold chain environment.

[0008] Using the above technical means, information on the non-refrigerated area in the warehouse is obtained from the warehouse information, the non-refrigerated area information is analyzed to determine the temperature of the non-refrigerated area, then the main ingredients of the drug are determined based on the drug information, and finally the non-refrigerated area information, the main ingredients of the drug and the appropriate storage temperature of the drug are analyzed to estimate the quality assurance time of the drug in a non-cold chain environment, thereby realizing temperature monitoring in the entire process, ensuring the accuracy and real-timeness of the temperature, and preventing manual errors. The acquisition of the drug ingredients ensures that the subsequent evaluation of the quality assurance time of the drug ingredients in a non-cold chain environment is more accurate, providing sufficient information support for the determination of the quality assurance time in a non-cold chain environment, and improving the level of drug security.

[0009] Alternatively, the step of determining vehicle information based on the appropriate storage temperature and the drug information may include the following configuration: obtaining drug quantity and drug packaging information based on the drug information; determining the number of medicines based on the medicine quantity and the medicine packaging information; determining the size of each medicine based on the medicine packaging information; and Determining vehicle information based on the number of medications, the appropriate storage temperature, and the size of each medication.

[0010] Using the above technical means, the drug quantity and drug packaging information are obtained based on the drug information, the total number of drugs is determined from the drug quantity and drug packaging information, and the size of each drug is determined from the drug packaging information, and finally the vehicle information is determined using the number of drugs, the size of each drug, and the appropriate storage temperature of the drugs. Through multidimensional data analysis, the accuracy of the vehicle information is ensured, the vehicle utilization efficiency is improved, and a scientific strategy is provided for subsequent vehicle arrangement.

[0011] Alternatively, the step of determining vehicle information based on the number of medicines, the appropriate storage temperature, and the size of each medicine may include the following configuration: determining a volume per pharmaceutical product based on the size of each pharmaceutical product; determining appropriate stored vehicle information based on the appropriate storage temperature; Determining the number of items to be loaded into each appropriate storage vehicle based on the appropriate storage vehicle information and the size of each pharmaceutical product; Selecting an optimal vehicle from the appropriate storage vehicle information based on the volume per medicine and the number of medicines loaded in each appropriate storage vehicle, and extracting optimal vehicle information; determining the number of vehicles based on the number of medicines and the load capacity of the optimal vehicle; and determining vehicle information based on the optimum vehicle information and the number of vehicles;

[0012] Using the above technical means, the volume per medicine is calculated based on the size of each medicine, and then an appropriate vehicle is selected based on the appropriate storage temperature of the medicine. The number of medicines that can be loaded per vehicle is calculated based on the vehicle information. Then, based on the volume per medicine and the number of medicines loaded, the appropriate vehicle with the highest space utilization rate is determined as the optimal vehicle. The number of vehicles is determined based on the number of medicines and the number of medicines loaded. The optimal vehicle information and number of vehicles are determined as vehicle information, and an appropriate vehicle is selected, ensuring that the vehicle can provide the appropriate storage temperature required for the medicines. Furthermore, by calculating the space utilization rate, the transportation vehicle resources are utilized to the fullest extent and transportation costs are saved.

[0013] Alternatively, the step of analyzing the temperature of the non-refrigerated area, the main component of the medicine, and the appropriate storage temperature and estimating the quality assurance time of the medicine in a non-cold chain environment may include the following steps: determining the ratio of the main ingredient of the drug based on the drug information; analyzing the main ingredients of the pharmaceutical products to determine the component characteristics of each main ingredient of the pharmaceutical product; analyzing the component characteristics to determine the temperature change characteristics of the main components of each pharmaceutical product; Based on the component characteristics, determining whether there is an interaction characteristic between the main components of any two types of medicines, and if there is, determining the temperature change characteristic of the medicine based on the temperature change characteristic of the main components of each medicine, the ratio of the components, and the interaction characteristic between the main components of the any two types of medicines, by referring to the following formula: A step of analyzing the temperature of the non-refrigerated area and the temperature change characteristics of the medicine, and estimating the quality assurance time of the medicine in a non-cold chain environment.

[0014] Number 1 JPEG2026020158000002.jpg42170

[0015] The above technical means allow for in-depth analysis of the main components of pharmaceuticals to obtain the temperature change characteristics of the main components of pharmaceuticals, and further obtain the interaction characteristics between the main components of pharmaceuticals, thereby enabling a more accurate determination of the temperature change characteristics of pharmaceuticals, helping to prevent reactions between components and avoid pharmaceutical safety issues.A designed formula is used to calculate the temperature change characteristics of pharmaceuticals based on the temperature change characteristics of each main component of a pharmaceutical, the component ratio, and the interaction characteristics of the main components of any two pharmaceuticals, and then combines the temperature change characteristics of the pharmaceutical with the temperature of the non-cold chain environment to obtain the quality assurance time of the pharmaceutical in a non-cold chain environment, providing an accurate scientific basis and facilitating subsequent adjustments and arrangements for pharmaceutical loading.

[0016] Alternatively, the vehicle information also includes geographical location information of the vehicle, and the step of formulating a loading strategy based on the drug information, the warehouse information, the vehicle information, and the quality assurance time in the non-cold chain environment has the following configuration: obtaining geographical location information of the warehouse based on the warehouse information; determining route planning information based on the geographical location information of the vehicle and the geographical location information of the warehouse; analyzing the route planning information based on the optimal vehicle information to estimate a vehicle arrival time at the warehouse; and Formulating a loading strategy based on the pharmaceutical information, the warehouse information, the vehicle's arrival time at the warehouse, and the quality assurance time in the non-cold chain environment.

[0017] The above technical means first determines the geographic location of the warehouse based on warehouse information, then determines route planning information based on the vehicle geographic location and the warehouse geographic location, shortening vehicle travel time and accelerating logistics speed and improving overall logistics efficiency. Next, based on the optimal vehicle information and combined with the route planning information, the actual route situation is obtained and the accurate vehicle arrival time at the warehouse is estimated. Based on the vehicle arrival time at the warehouse, the warehouse can prepare in advance and begin loading operations immediately after the vehicle arrives. By comprehensively considering drug information, warehouse information, vehicle arrival time at the warehouse, and quality assurance times in non-cold chain environments, an efficient loading strategy can be formulated, making the overall loading process smoother.

[0018] Alternatively, after the step of formulating a loading strategy based on the drug information, the warehouse information, the arrival time of the vehicle at the warehouse, and the quality assurance time in the non-cold chain environment, the method further includes the following configuration: determining a delivery destination of the medicine based on the medicine information; determining a vehicle transportation origin and an vehicle transportation destination based on the geographic location information of the warehouse and the delivery destination of the pharmaceutical product; determining each feasible route based on the vehicle transportation origin and the vehicle transportation destination; extracting route information for each feasible route based on each feasible route; analyzing the route information to determine route distance and road traffic conditions for the route; analyzing road traffic conditions of the route to determine a turbulence situation of the route; analyzing the perturbation status of the route to determine the impact of the feasible route on the temperature of the medicine; filtering the feasible routes based on the temperature influence to obtain a suitable route; estimating travel times for the suitable routes based on the route distances of each suitable route and road traffic conditions of the routes; and A step of setting route information of an appropriate route that will result in the shortest travel time as transportation route planning information.

[0019] Using the above technical means, the destination of the medicine is first obtained from the medicine information, and then the warehouse location is used as the starting point of transportation and the medicine destination as the end point of transportation, and all passable routes are selected, combined with the fluctuation status of the route, and a route with good fluctuation status is selected based on the impact of fluctuation on the temperature of the medicine. The transportation time is calculated based on the route distance and the road traffic status of the route, and the route with the shortest transportation time is selected as the transportation route. By taking into account the impact of fluctuation status of the route on temperature, the situation in which the temperature of the medicine fluctuates greatly and the quality changes during transportation due to factors on the route is prevented, and an appropriate route with the shortest travel time is selected, making the entire transportation more reliable and fast, and avoiding the risk of cold chain interruption due to factors on the transportation route as much as possible, and providing a scientific strategy for transportation route planning.

[0020] Alternatively, the step of formulating a loading strategy based on the drug information, the warehouse information, the arrival time of the vehicle at the warehouse, and the quality assurance time in the non-cold chain environment may be configured as follows: determining warehouse personnel total number information and warehouse equipment total number information based on the warehouse information; analyzing the warehouse personnel total number information and the warehouse equipment total number information to determine personnel tasks and equipment tasks; determining personnel information and equipment information to be used for this retrieval based on the personnel task and the equipment task; analyzing the personnel information and the drug information to determine personnel unloading capabilities; Analyzing the equipment information to determine the number and size of equipment; Determining the warehouse's shipping capacity based on the personnel unloading capacity, the equipment quantity, the equipment size, and the size of each pharmaceutical product by referring to the following formula: Developing a loading strategy based on the personnel information, the warehouse outbound capacity, vehicle arrival times, and quality assurance times in the non-cold chain environment.

[0021] Number 2 JPEG2026020158000003.jpg33170

[0022] Using the above technical means, information on the total number of warehouse personnel and the total number of warehouse equipment is obtained, and the personnel and equipment that can be used for this loading are determined based on the task information of each personnel and each piece of equipment, providing a data basis for subsequent calculation of the warehouse's outgoing capacity. The personnel unloading capacity, the number of equipment, and the equipment size are combined with the size of each medicine, and a formula is used to calculate the warehouse's outgoing capacity, accurately grasping the warehouse's outgoing capacity and providing reasonable basic information for subsequent collaboration with vehicles. The start time of luggage transportation is calculated in advance based on the arrival time of the vehicle before it arrives, thereby realizing a situation where vehicles do not wait for luggage, and luggage does not have to wait for vehicles after it has been taken out of the refrigerated warehouse.

[0023] Alternatively, the step of analyzing the personnel information and the drug information to determine personnel unloading capabilities may include: determining a weight per unit of the medicine based on the medicine information and the medicine packaging information; determining the number of people required to load each item based on the volume per item of the medicine, the weight per item of the medicine, and the personnel information; determining a total number of people to be loaded based on the personnel information; and A step of determining the personnel unloading capacity based on the total number of people loading and the number of people required for loading each item, by referring to the following formula:

[0024] Number 3 JPEG2026020158000004.jpg27170

[0025] Using the above technical means, first obtain the unit weight of the medicine from the medicine information, then obtain the quantity of medicine in each package from the medicine packaging information to determine the weight of each medicine, combine the weight of each medicine with the volume of each medicine, and take human factors into consideration to determine the number of people required to load each package, which helps to avoid wasting human resources and improve transportation efficiency. Finally, based on the total number of people loaded, a formula is used to calculate the personnel unloading capacity, and by concretizing the abstract carrying capacity, basic data can be provided for measuring unloading capacity, allowing for flexible arrangements for different packages, so that the most reasonable personnel can be arranged regardless of the size and weight of the package.

[0026] Alternatively, the step of determining the number of people required to load each medicine based on the volume per medicine, the weight per medicine, and the personnel information may have the following configuration: determining a maximum volume that can be carried by one person and a maximum weight that can be carried by one person based on the personnel information; and A step of determining the number of people required to load each item based on the maximum volume, the maximum weight, the volume per item of medicine, and the weight per item of medicine, by referring to the following formula.

[0027] Number 4 JPEG2026020158000005.jpg32170

[0028] Using the above technical means, first, based on personnel information, the maximum volume and weight that one person can carry are determined, and then, taking into account the volume per medicine and the weight per medicine, the number of people required to load each medicine is calculated. By using a formula, personnel can be accurately arranged, which not only prevents the waste of human resources but also avoids the dangers caused by personnel overwork.

[0029] In order to clearly describe the embodiments of the present application or the technical means in the prior art, the accompanying drawings that need to be used to depict the embodiments or the prior art will be briefly described below. The accompanying drawings depicted below are only some embodiments of the present application, and those skilled in the art can obtain other drawings based on these accompanying drawings without any creative effort. [Brief explanation of the drawings]

[0030] [Figure 1] FIG. 1 is a schematic diagram illustrating an application scenario provided in an embodiment of the present application. [Figure 2] 1 is a flowchart of a smart management system for a cold chain logistics warehouse based on big data provided in an embodiment of the present application; DETAILED DESCRIPTION OF THE INVENTION

[0031] In order to clarify the purpose, technical means and advantages of the present application, the technical means in the embodiments of the present application will be described in detail below with reference to the drawings in the embodiments of the present application, but it goes without saying that the described embodiments are only some of the embodiments of the present application and do not include all of the embodiments. All other embodiments obtained by those skilled in the art based on the embodiments in the present application without any creative activity fall within the scope of protection of the present application.

[0032] As used herein, the term "and / or" includes any and all combinations of one or more associated listed elements, for example, A and / or B means that A exists alone, A and B exist simultaneously, or B exists alone. Also, as used herein, the symbol " / " generally means that the associated elements before and after it are in an "or" relationship, unless otherwise specified.

[0033] Hereinafter, embodiments of the present application will be specifically described with reference to the drawings of the specification.

[0034] Traditional smart management systems for cold chain logistics warehouses ensure the quality of goods by building a cold chain environment during warehouse storage and transportation based on the appropriate storage temperature for the goods. However, refrigeration conditions can only be guaranteed at the stage when goods are switched from warehouse storage to transportation. For pharmaceuticals, which require strict temperature control, the cold chain is prone to being broken, which could change the efficacy of the medicine and cause it to become ineffective.

[0035] Based on this, the present application provides an intelligent management system for cold chain logistics warehouses based on big data, which determines information on the drugs to be loaded and warehouse information on the loading location based on a loading plan, analyzes the drug information and warehouse information to determine an appropriate storage temperature for the drugs, further analyzes the warehouse information to determine warehouse environment information, combines the appropriate storage temperature and warehouse environment information with the drug information to derive the drug's quality assurance time in a non-cold chain environment and obtain the quality assurance time in a non-cold chain environment, then provides basic information for planning the process of loading the drugs from the warehouse to vehicles, determines vehicle information based on the appropriate storage temperature for the drugs and the drug information, and further formulates a loading strategy based on the drug information, warehouse information, vehicle information, and the quality assurance time in a non-cold chain environment, and through the system provided in the present application, starts with a loading plan, obtains the corresponding drug information and warehouse information, and intelligently formulates a loading strategy, thereby avoiding a situation where drugs remain in a non-cold chain environment for a long time during the loading process due to inaccuracy or inefficiency of the loading strategy, resulting in changes in efficacy.

[0036] 1 is a schematic diagram illustrating an application scenario provided in one embodiment of the present application. In the scenario of loading medicines from a refrigerated warehouse into a transport vehicle, the method provided in the present application can be used to formulate different loading strategies based on a loading plan to ensure that the cold chain is not broken during the loading process.

[0037] Specifically, the method provided in this application can be used in any server, which interacts with an order management system of a cold chain logistics warehouse.

[0038] The server obtains and analyzes the loading plan from the cold chain logistics warehouse order management system, determines drug information and warehouse information, analyzes the drug information and determines an appropriate storage temperature, estimates the quality assurance time of the drug in a non-cold chain environment based on the drug information, warehouse information and appropriate storage temperature, then determines vehicle information based on the appropriate storage temperature and drug information, and finally formulates a loading strategy for reference by cold chain logistics warehouse management based on the drug information, warehouse information, vehicle information and the quality assurance time in a non-cold chain environment, thereby formulating different loading strategies according to different drugs, and avoiding a drug cold chain interruption event and a change in the efficacy of the drug during the management of the cold chain logistics warehouse due to a loading strategy that is not suitable for the current drug.

[0039] For specific implementation methods, please refer to the following embodiments.

[0040] 2 is a flowchart of a smart management system for a cold chain logistics warehouse based on big data provided in an embodiment of the present application. The system of this embodiment can be used as a server in the above scenario. As shown in FIG. 2, the method includes the following steps:

[0041] S201: A step of obtaining and analyzing a loading plan and determining drug information and warehouse information.

[0042] The loading plan may be a pharmaceutical loading plan developed based on customer requirements.

[0043] The drug information may be the drug information required by the customer at this time, and may include the main ingredients of the drug, the quantity of the drug, the drug packaging information, and the appropriate storage temperature of the drug.

[0044] The warehouse information may be information about the warehouse at the current drug loading location, which may include information about non-refrigerated areas, geographical locations of the warehouse, total number of warehouse personnel, and total number of warehouse equipment.

[0045] Specifically, after formulating a loading plan based on customer requirements, natural language processing technology is used to analyze the loading plan, obtain the contents of the loading plan, and extract important information from it, such as information on the pharmaceuticals to be loaded this time and the warehouse where the loading will be performed this time.

[0046] S202: A step of analyzing the pharmaceutical information and determining an appropriate storage temperature.

[0047] The appropriate storage temperature may be the ambient temperature at which the drug is stored to ensure that the efficacy of the drug is not altered during storage or transportation, and this ambient temperature may be a range of temperatures.

[0048] Specifically, after determining the drug information, the drug's instruction manual is obtained, the instruction manual is analyzed using natural language processing technology, the drug's storage conditions are obtained from the instruction manual, and the appropriate storage temperature for the drug is obtained from the storage conditions.

[0049] S203: A step of analyzing the pharmaceutical information, the warehouse information, and the appropriate storage temperature and estimating the quality assurance time of the pharmaceutical in a non-cold chain environment.

[0050] The shelf life of a drug in a non-cold chain environment may be the maximum time allowed for a drug requiring cold chain storage if stored in an environment that does not achieve the appropriate storage temperature.

[0051] Specifically, the pharmaceutical information is analyzed through natural language technology processing to determine the main ingredients of the pharmaceutical, and the impact of the warehouse on the pharmaceutical is determined based on the warehouse information. The main ingredients of the pharmaceutical, the impact of the warehouse on the pharmaceutical, and the appropriate storage temperature for the pharmaceutical are combined, and a mathematical analysis method is used to estimate the maximum allowable time when the pharmaceutical is stored in an environment that does not reach the appropriate storage temperature, i.e., the quality assurance time in a non-cold chain environment.

[0052] S204: A step of determining vehicle information based on the appropriate storage temperature and the drug information.

[0053] The vehicle information may be vehicle information used in the current pharmaceutical loading plan, including vehicle size, loading platform temperature, optimal vehicle, number of vehicles, etc.

[0054] Specifically, the vehicle information is determined by determining the optimal vehicle and number of vehicles based on the appropriate storage temperature for the medicine and the medicine information.

[0055] S205: Formulating a loading strategy for reference by cold chain logistics warehouse management based on the drug information, the warehouse information, the vehicle information and the quality assurance time in the non-cold chain environment.

[0056] Specifically, when loading is required, drug information, warehouse information, vehicle information, and quality assurance time in a non-cold chain environment are comprehensively considered, and a loading strategy is formulated using mathematical analysis methods. This is then provided to cold chain logistics warehouse managers as a reference, allowing for rational arrangements to be made and loading efficiency to be improved.

[0057] The method provided in this embodiment determines information about the drugs to be loaded and warehouse information about the loading location based on a loading plan, and then analyzes the drug information and warehouse information to determine the appropriate storage temperature for the drugs. Determining the appropriate storage temperature for the drugs provides the data foundation necessary for formulating a subsequent loading strategy. Furthermore, based on the drug information, warehouse information, and appropriate storage temperature for the drugs, the drug's quality assurance time in a non-cold chain environment can be estimated, allowing for a clear understanding of the time within which the drug should be transported during later loading, preventing changes in efficacy due to prolonged storage in a non-cold chain environment. Furthermore, vehicle information is determined based on the appropriate storage temperature for the drugs and drug information. A loading strategy is then formulated based on the drug information, warehouse information, vehicle information, and the quality assurance time in a non-cold chain environment. Accurately matching the appropriate storage temperature for the drugs, vehicle temperature conditions, and the quality assurance time in a non-cold chain environment ensures that the drugs are stored at the appropriate temperature throughout the entire process, thereby ensuring their efficacy. Furthermore, the formulation of loading strategies will improve the efficiency of cold chain vehicle allocation and ensure timely transportation of pharmaceuticals.

[0058] 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 ingredients of the drug are determined based on the drug information, the temperature of the non-refrigerated area, the main ingredients of the drug, and the appropriate storage temperature are analyzed, and the quality assurance time of the drug in a non-cold chain environment is estimated.

[0059] The non-refrigerated area information may be information about an area in the warehouse other than the refrigerated warehouse where the medicines are stored, and includes the temperature of the non-refrigerated area.

[0060] The temperature of the non-refrigerated area may be the ambient temperature of the area within the warehouse excluding the refrigerated warehouse where the pharmaceutical products are stored.

[0061] The main ingredient of a drug can be the main component that constitutes the drug and has efficacy or effect, and can be a single compound or multiple compounds. In a specific implementation method, various drugs and their drug information are stored in a drug database, and the main ingredients of the drug can be obtained by querying the drug information in the drug database.

[0062] Specifically, the system first determines the area information within the warehouse excluding the refrigerated warehouse where the pharmaceuticals are stored from the warehouse information, and then uses a temperature sensor to extract the ambient temperature of this area as the temperature of the non-refrigerated area. Based on the pharmaceutical information, the system queries a pharmaceutical database to obtain the main ingredients of the pharmaceuticals, and then comprehensively considers the temperature of the non-refrigerated area, the main ingredients of the pharmaceuticals, and the appropriate storage temperature of the pharmaceuticals, and then uses mathematical analysis methods to estimate the quality assurance time of the pharmaceuticals in a non-cold chain environment.

[0063] The method provided in this embodiment obtains information about non-refrigerated areas in the warehouse from warehouse information, analyzes the non-refrigerated area information to determine the temperature of the non-refrigerated area, then determines the main ingredients of the drug based on the drug information, and finally estimates the quality assurance period of the drug in a non-cold chain environment by analyzing the non-refrigerated area information, the main ingredients of the drug, and the appropriate storage temperature of the drug. This realizes temperature monitoring in the non-refrigerated area throughout the entire process, ensures the accuracy and real-timeness of the temperature, and prevents manual errors. The acquisition of the pharmaceutical ingredients ensures that the subsequent evaluation of the quality assurance period of the pharmaceutical ingredients in a non-cold chain environment is more accurate, and sufficient information is provided to support the determination of the quality assurance period in a non-cold chain environment, thereby improving the level of pharmaceutical security.

[0064] In some embodiments, based on the pharmaceutical information, pharmaceutical quantity and pharmaceutical packaging information are obtained, the number of pharmaceuticals is determined based on the pharmaceutical quantity and pharmaceutical packaging information, the size of each pharmaceutical is determined based on the pharmaceutical packaging information, and vehicle information is determined based on the number of pharmaceuticals, the appropriate storage temperature and the size of each pharmaceutical.

[0065] The quantity of medicines may be the quantity of medicines required in the current loading plan. The unit of the quantity of medicines may be one box or one bottle.

[0066] The pharmaceutical packaging information may be packaging information of the pharmaceutical to be loaded this time, including the size of each pharmaceutical, the packaging material of the pharmaceutical, the packaging shape of the pharmaceutical, etc.

[0067] The number of medicines may be the number of packages after the medicines are packaged this time. The number of medicines is the minimum transport unit at the time of transportation.

[0068] The size of each medicine may be the packaging size of the medicine after packaging.

[0069] Specifically, first, based on the pharmaceutical information, the quantity of pharmaceuticals to be shipped and pharmaceutical packaging information are obtained, and the number of pharmaceuticals required to be packaged at one time is determined. Next, the quantity of pharmaceuticals is divided by the quantity of pharmaceuticals required for one unit to calculate the number of pharmaceuticals after packaging. Next, based on the pharmaceutical packaging information, the size of each pharmaceutical is determined. Finally, taking into consideration the number of pharmaceuticals, the size of each pharmaceutical, and the appropriate storage temperature for the pharmaceuticals, a vehicle whose loading platform can provide the appropriate storage temperature for the pharmaceuticals is selected. Further, the vehicle size and number of vehicles are determined from these vehicles through calculations. The vehicle with the most suitable vehicle size is determined as the optimal vehicle, and the information on the optimal vehicle is used as vehicle information.

[0070] The method provided in this embodiment obtains drug quantity and drug packaging information based on drug information, determines the total number of drugs from the drug quantity and drug packaging information, and also determines the size of each drug from the drug packaging information, and finally determines vehicle information using the number of drugs, the size of each drug, and the appropriate storage temperature of the drugs. Through multidimensional data analysis, the accuracy of vehicle information is ensured, vehicle utilization efficiency is improved, and a scientific strategy is provided for subsequent vehicle arrangement.

[0071] In some embodiments, the volume per pharmaceutical is determined based on the size of each pharmaceutical, appropriate storage vehicle information is determined based on an appropriate storage temperature, the number of pharmaceuticals that can be loaded in each appropriate storage vehicle is determined based on the appropriate storage vehicle information and the size of each pharmaceutical, an optimal vehicle is selected from the appropriate storage vehicle information based on the volume per pharmaceutical and the number of pharmaceuticals that can be loaded in each appropriate storage vehicle, optimal vehicle information is extracted, the number of vehicles is determined based on the number of pharmaceuticals and the number of pharmaceuticals that can be loaded in the optimal vehicle, and vehicle information is determined based on the optimal vehicle information and the number of vehicles.

[0072] The volume per medicine may be the volume of the medicine after packaging. The volume per medicine can be calculated from the size of each medicine.

[0073] The appropriate storage vehicle information may be information about a refrigerated vehicle that can provide an appropriate storage temperature for the medicine.

[0074] The optimal vehicle information may be information on a vehicle that has the highest space utilization rate for transporting pharmaceuticals at this time among suitable storage vehicles.

[0075] The load quantity may be the number of medicines that can be loaded at one time into an optimal vehicle.

[0076] The number of vehicles may be the optimum number of vehicles involved in this load.

[0077] Specifically, the pharmaceutical packaging shape is first determined based on the pharmaceutical packaging information, then the volume per pharmaceutical is calculated using the pharmaceutical packaging shape volume calculation formula based on the pharmaceutical packaging size, and then the appropriate vehicle is selected based on the pharmaceutical's appropriate storage temperature to determine the appropriate vehicle. Next, based on the size and volume of each pharmaceutical, a suitable vehicle is selected whose loading platform size is close to an integer multiple of the size per pharmaceutical. The number of pharmaceuticals that can be loaded into these loading platforms is calculated, and the loading platform volume is calculated from the loading platform size. The volume per pharmaceutical is multiplied by the number of pharmaceuticals loaded into the appropriate vehicle to obtain the pharmaceutical volume that can be loaded into one vehicle. The pharmaceutical volume that can be loaded into one vehicle is then divided by the loading platform volume to obtain the pharmaceutical space utilization rate. The appropriate vehicle with the highest space utilization rate is determined as the optimal vehicle, and the number of vehicles required is determined based on the loading platform number of the optimal vehicle and the number of pharmaceuticals. The calculation method is to divide the number of pharmaceuticals by the loading platform number, rounding up, and the optimal vehicle information and number of vehicles are used as vehicle information.

[0078] For example, a pharmaceutical package is a rectangular prism measuring 1 meter in length, 2 meters in width, and 1 meter in height. Two suitable vehicles are available: one with a loading platform measuring 9.2 meters in length, 4.5 meters in width, and 2 meters in height (hereinafter referred to as Vehicle A) and the other with a loading platform measuring 7.8 meters in length, 3 meters in width, and 1.5 meters in height (hereinafter referred to as Vehicle B). If Vehicle A can accommodate 9 pharmaceuticals in its length, 2 pharmaceuticals in its width, and 2 pharmaceuticals in its height, Vehicle A can carry 9 x 2 x 2 = 36 pharmaceuticals, its volume is 36 x 1 x 1 x 2 = 72 cubic meters, and the volume of its loading platform is 9.2 x 4.5 x 2 = 82.8 cubic meters, resulting in a space utilization rate of 87%. Using a similar calculation, the space utilization rate of Vehicle B's loading platform is 40%. In this example, Vehicle A is determined as the optimal vehicle, and the number of vehicles is determined based on the number of pharmaceuticals and the optimal vehicle's capacity. The calculation is: number of pharmaceuticals / optimal vehicle's capacity, with the result rounded up to obtain the number of vehicles. For example, if there are 100 medicines and one optimal vehicle can carry 19 medicines, the number of vehicles required is 100 / 19 rounded up to 6, and 6 optimal vehicles are required for this transportation, and the optimal vehicle information and the optimal number of vehicles are defined as vehicle information.

[0079] The method provided in this embodiment calculates the volume per medicine based on the size of each medicine, then selects an appropriate vehicle based on the appropriate storage temperature of the medicine, calculates the number of medicines that can be loaded per vehicle based on vehicle information, and then determines the appropriate vehicle with the highest space utilization rate as the optimal vehicle based on the volume per medicine and the loaded number. Determines the number of vehicles based on the number of medicines and the loaded number, determines the optimal vehicle information and number of vehicles as vehicle information, and selects an appropriate vehicle to ensure that the vehicle can provide the appropriate storage temperature required for the medicines to be delivered. Furthermore, by calculating the space utilization rate, the transportation vehicle resources are utilized to the maximum extent and transportation costs are saved.

[0080] In some embodiments, based on the drug information, the ratio of the main ingredients of the drug is determined, the main ingredients of the drug are analyzed, the component characteristics of each main ingredient of the drug are determined, the component characteristics are analyzed, and the temperature change characteristics of each main ingredient of the drug are determined. Based on the component characteristics, it is determined whether there is an interaction characteristic between any two main ingredients of the drug. If there is an interaction characteristic, the temperature change characteristic of the drug is determined based on the temperature change characteristic of each main ingredient of the drug, the component ratio, and the interaction characteristic between any two main ingredients of the drug. The temperature in the non-refrigerated area and the temperature change characteristic of the drug are analyzed, and the quality assurance time of the drug in a non-cold chain environment is estimated.

[0081] Based on the temperature change characteristics of the main components of each drug, the ratio of the components, and the interaction characteristics between the main components of any two types of drugs, the temperature change characteristics of the drug are determined by referring to the following formula (1).

[0082] Number 5 JPEG2026020158000006.jpg48170

[0083] The ratio of the main ingredients of a drug can be the ratio of the main ingredients that make up the drug to the drug, and the sum of the ratios of each ingredient is 1.

[0084] The component properties can be the physical properties and chemical properties of the components that make up the pharmaceutical product.

[0085] The temperature change characteristic can be the characteristic of the temperature of a pharmaceutical main component changing over time under constant ambient temperature conditions.

[0086] The interaction property can be a property that changes the physical and chemical properties of the main ingredients of two types of pharmaceuticals after they are mixed in a certain ratio.

[0087] The temperature change characteristic of a pharmaceutical product can be a characteristic in which the temperature of the pharmaceutical product changes over time under constant ambient temperature conditions.

[0088] Specifically, the ratio of the pharmaceutical's main ingredients is obtained by querying the pharmaceutical description, and the chemical formula and ingredient name of the pharmaceutical's main ingredient are obtained based on the pharmaceutical's main ingredients. The structural formula of the pharmaceutical's main ingredient is determined through the ingredient name and chemical formula. The structural formula of the pharmaceutical's main ingredient is analyzed to determine the number of chemical bonds and functional groups present, and the physical and chemical properties of the pharmaceutical's main ingredient are determined based on the type and number of chemical bonds and functional groups. The component characteristics of the pharmaceutical's main ingredient can be determined from the physical and chemical properties of the pharmaceutical's main ingredient, thereby determining the temperature change characteristics of the pharmaceutical's main ingredient. Furthermore, taking into account the interaction between the pharmaceutical's main ingredients, after two ingredients are mixed, the structural formulas of the two pharmaceutical's main ingredients and the pharmaceutical forms, such as liquid and capsule forms, are used to determine whether the two pharmaceutical's main ingredients will react in the pharmaceutical form. If a reaction occurs, the reaction results between the two pharmaceutical's main ingredients are analyzed through the functional groups and chemical bonds contained in the structural formulas of the two pharmaceutical's main ingredients, and the interaction characteristics between them are determined. Finally, using equation (1), the temperature change characteristics of the drug are determined based on the temperature change characteristics of the main components of each drug, the ratio of the components, and the interaction characteristics of the main components of any two types of drug. Then, based on the temperature change characteristics of the drug and the temperature of the non-refrigerated area, the time it takes for the drug to deteriorate at the temperature of the non-refrigerated area is estimated, i.e., the quality assurance time of the drug in a non-cold chain environment is estimated.

[0089] The method provided in this embodiment performs an in-depth analysis of the main components of a pharmaceutical product to obtain the temperature change characteristics of the main components of the pharmaceutical product, and then obtain the mutual influence characteristics between the main components of the pharmaceutical product. This allows for a more accurate determination of the temperature change characteristics of the pharmaceutical product, helping to prevent reactions between components and avoid pharmaceutical safety issues. A designed formula is used to calculate the temperature change characteristics of the pharmaceutical product based on the temperature change characteristics of each main component of the pharmaceutical product, the component ratio, and the mutual influence characteristics of the main components of any two pharmaceutical products. The temperature change characteristics of the pharmaceutical product are then combined with the temperature of the non-cold chain environment to obtain the quality assurance time of the pharmaceutical product in a non-cold chain environment, providing an accurate scientific basis and facilitating subsequent pharmaceutical loading adjustments and logistics.

[0090] In some embodiments, based on warehouse information, geographical location information of the warehouse is obtained, based on the geographical location information of the vehicle and the geographical location information of the warehouse, route planning information is determined, based on the optimal vehicle information, the route planning information is analyzed to estimate the arrival time of the vehicle at the warehouse, and a loading strategy is formulated based on the drug information, warehouse information, the arrival time of the vehicle at the warehouse, and the quality assurance time in a non-cold chain environment.

[0091] The geographical location information of the warehouse may be information disclosing the geographical location of the warehouse where the current loading will be performed. The geographical location information of the warehouse may include longitude and latitude information.

[0092] The vehicle geographical location information may be information included in the vehicle information that identifies the location of the optimal vehicle to be involved in the current loading. The vehicle geographical location information may include longitude and latitude information.

[0093] The route planning information may be information for selecting a route from one location to another according to a certain criterion. In this embodiment, the starting point of the route planning is the current location of the vehicle, and the end point of the route planning is the location of the warehouse.

[0094] Specifically, the longitude and latitude of the warehouse are obtained based on the warehouse information, and then the geographical location information of the warehouse is determined based on the longitude and latitude. This is combined with the geographical location information of the vehicle to determine the current location of the vehicle as the starting point and the location of the warehouse as the end point. All feasible routes are selected with the help of a third-party platform program, and the route with the shortest travel time is selected from all feasible routes. This route information with the shortest travel time is determined as route planning information. The optimal vehicle performance index is then obtained based on the optimal vehicle information, and the optimal vehicle speed is determined from the vehicle performance index. Road traffic information for the route with the shortest travel time is obtained from the third-party platform, and the traffic conditions for the route are determined based on the road traffic information. By combining the vehicle information and the route information, the vehicle arrival time at the warehouse is determined. Based on the vehicle arrival time at the warehouse, the warehouse can prepare before the vehicle arrives and begin loading operations as soon as the vehicle arrives, avoiding long wait times after the vehicle arrives. This improves loading efficiency and enables a scientific loading strategy to be formulated.

[0095] The method provided in this embodiment first determines the geographic location of the warehouse based on warehouse information, and then determines route planning information based on the vehicle geographic location and the warehouse geographic location, thereby shortening vehicle travel time, accelerating logistics speed and improving overall logistics efficiency. Next, based on the optimal vehicle information and combined with the route planning information, the actual route situation is obtained and the accurate vehicle arrival time at the warehouse is estimated. Based on the vehicle arrival time at the warehouse, the warehouse can prepare in advance so that loading operations can begin immediately after the vehicle arrives. By comprehensively considering drug information, warehouse information, vehicle arrival time at the warehouse, and quality assurance times in non-cold chain environments, an efficient loading strategy can be formulated, making the overall loading process smoother.

[0096] In some embodiments, a delivery destination of the medicine is determined based on the medicine information, a vehicle transportation starting point and a vehicle transportation ending point are determined based on the geographical location information of the warehouse and the delivery destination of the medicine, each feasible route is determined based on the vehicle transportation starting point and the vehicle transportation ending point, route information for each feasible route is extracted based on each feasible route, the route information is analyzed to determine a route distance and road traffic conditions for the route, the road traffic conditions for the route are analyzed to determine a fluctuation condition for the route, the fluctuation condition for the route is analyzed to determine the impact of the feasible route on the temperature of the medicine, the feasible routes are sorted based on the temperature impact to obtain a suitable route, a travel time for each suitable route is determined based on the route distance and road traffic conditions for the route, and the route information for the suitable route with the shortest travel time is used as transportation route planning information.

[0097] The route fluctuation may be the degree of fluctuation felt by a vehicle passing through a feasible route due to road traffic conditions. In a specific implementation, the route fluctuation may be part of the road traffic conditions, and the road traffic conditions may be obtained from a third-party platform. To avoid the case where the information from the third-party platform is incorrect, the driver obtains road traffic information during the actual transportation process through the driver's transportation history, feeds the obtained road traffic information back to the system, and stores the road traffic information in the route database.

[0098] The impact on the temperature of the medicine may be that the location of the medicine changes due to road turbulence, which changes the heat dissipation situation and causes a change in the temperature of the medicine.

[0099] The feasible routes may be all routes that can reach the vehicle transportation origin and destination.

[0100] A suitable route may be one where road disturbances do not significantly affect the medication.

[0101] The transportation route plan information may be information about the route selected for the current transportation.

[0102] Specifically, the pharmaceutical delivery destination is obtained from the pharmaceutical information, the location of the current loading warehouse is set as the vehicle transport starting point, and the pharmaceutical delivery destination is set as the vehicle transport end point. All feasible routes between these two locations and road traffic information for the route are obtained from a third-party platform, distance data and road surface conditions are obtained based on the feasible routes, and travel time is calculated based on the distance data and road surface conditions. By combining the road traffic information from the third-party platform with the road traffic information in the route database, the presence or absence of turbulence on the route is determined, and the distances of the sections of the route that are not turbulent, have mild turbulence, and have severe turbulence are calculated to determine the turbulence status of the route. Based on the turbulence status of the route, a simple judgment can be made based on the route information even when the status of some sections of the route is unknown.

[0103] The impact of route turbulence on pharmaceutical temperature is determined by analyzing the distance ratios and turbulence conditions for sections without turbulence, sections with mild turbulence, and sections with severe turbulence. For example, for a certain transportation route, the percentage of turbulent sections must be less than 30% (including sections with severe and mild turbulence), and the percentage of severe turbulence sections must not exceed 10%. Based on information from a third-party platform and a route database, it is known that 70% of the route is turbulent and 20% is turbulent. If the remaining sections are unknown, the turbulence condition is determined based on the road type of the remaining sections. For expressway sections, this is a turbulent section; for national and provincial highways, this is a turbulent section; for prefectural and municipal roads, this is a turbulent section. If the remaining sections are determined to be turbulent, the total percentage of turbulent and longitude turbulent sections on this route is 30%, and the percentage of turbulent sections is 10%. This means that the turbulence conditions on this route will have an excessive impact on the pharmaceutical temperature, making it unsuitable for this transportation, and the route must be replanned. It should be noted that the requirements for the road section of each transport may be different, and the above content in this embodiment is merely an example.

[0104] All routes in which the proportion of each road section meets the requirements and the unrest conditions are favorable are determined as appropriate routes, and the route with the shortest travel time based on the travel time of the appropriate route is determined as the transportation route, and the transportation route information is determined as transportation route planning information.

[0105] The method provided in this embodiment first obtains the delivery destination of the medicine from the medicine information, then sets the warehouse location as the transportation starting point and the medicine delivery destination as the transportation end point, selects all passable routes, combines them with the fluctuation status of the route, and selects a route with good fluctuation status based on the impact of fluctuation on the temperature of the medicine. Calculates the transportation time based on the route distance and the road traffic status of the route, and selects the route with the shortest transportation time as the transportation route. By taking into account the impact of the fluctuation status of the route on temperature, it is possible to prevent the temperature of the medicine from fluctuating greatly due to factors on the route during transportation, which would cause changes in quality. Select an appropriate route with the shortest travel time, making the entire transportation more reliable and fast, and minimizing the risk of cold chain interruptions due to factors on the transportation route, thereby providing a scientific strategy for transportation route planning.

[0106] In some embodiments, the total warehouse personnel information and the total warehouse equipment information are determined based on the warehouse information, the total warehouse personnel information and the total warehouse equipment information are analyzed to determine personnel tasks and equipment tasks, the personnel information and equipment information to be used for this shipment are determined based on the personnel tasks and the equipment tasks, the personnel information and drug information are analyzed to determine the personnel unloading capacity, the equipment information is analyzed to determine the equipment quantity and equipment size, the warehouse shipping capacity is determined based on the personnel unloading capacity, the equipment quantity, the equipment size and the size of each drug, and a loading strategy is formulated based on the personnel information, the warehouse shipping capacity, the vehicle arrival time and the quality assurance time in a non-cold chain environment.

[0107] Based on the personnel unloading capacity, the quantity of equipment, the size of the equipment, and the size of each medicine, the warehouse's shipping capacity is determined by referring to the following formula (2).

[0108] Number 6 JPEG2026020158000007.jpg29170

[0109] Warehouse personnel information can be information about everyone currently in the warehouse.

[0110] The warehouse equipment total number information may be information on the various types of equipment currently available in the warehouse for loading.

[0111] A personnel task may be a task that personnel in the warehouse are currently engaged in.

[0112] Equipment tasks may be tasks that various pieces of equipment in the warehouse are currently engaged in.

[0113] The unloading capacity of personnel may be the minimum unloading capacity of personnel involved in the task, and the unloading capacity metric may be the volume of the load or the weight of the load.

[0114] The warehouse's outgoing capacity may be the warehouse's ability to transport goods to vehicles after unloading them from a refrigerated warehouse.

[0115] Specifically, warehouse information can be used to determine the number of personnel and equipment in the warehouse, and whether these personnel and equipment are currently engaged in any task. If they are not engaged in a task, these personnel and equipment can be used to plan the current load. For example, if there are 50 personnel and 10 forklifts in a warehouse, but 20 personnel and 5 forklifts are engaged in a different task, the remaining 30 personnel and 5 forklifts will be used to plan the current load. The equipment can also be an elevator.

[0116] Based on the personnel information involved in the task, the unloading capacity of personnel is obtained by combining and analyzing this with pharmaceutical information, and the quantity and size of the equipment is obtained from the basic information on the equipment, and the warehouse's shipping capacity is calculated using a formula. α is the coordination coefficient between people and equipment, and is related to the skill level of the personnel and the type of equipment. It is derived based on the actual transportation situation to date, with a maximum value of 1 indicating seamless coordination. For example, if all the employees involved in this loading plan are highly skilled and the type of equipment is small and easy to operate, the coordination coefficient between personnel and equipment will approach 1. The larger the ratio between the equipment size and the size per pharmaceutical, JPEG2026020158000008.jpg46 approaches 1, at which point the warehouse's shipping capacity increases. The equipment quantity, equipment size, and size per medicine are substituted into equation (2) to calculate the warehouse's shipping capacity, and after calculating the shipping capacity, it is combined with the total personnel information, vehicle arrival time, and quality assurance time in a non-cold chain environment to formulate a loading strategy.

[0117] The method provided in this embodiment obtains information on the total number of warehouse personnel and the total number of warehouse equipment, and further determines the personnel and equipment that can be used for this loading based on the task information of each personnel and each piece of equipment, thereby providing a data basis for subsequent calculation of the warehouse's outgoing capacity. The personnel unloading capacity, the number of equipment, and the size of the equipment are combined with the size of each medicine to calculate the warehouse's outgoing capacity using a formula, thereby accurately grasping the warehouse's outgoing capacity and providing reasonable basic information for subsequent collaboration with vehicles. The start time of luggage transportation is calculated in advance based on the arrival time of the vehicle before arrival, thereby realizing a situation where vehicles do not wait for luggage, and luggage does not have to wait for vehicles after being taken out of the refrigerated warehouse.

[0118] In some embodiments, the weight of each drug is determined based on the drug information and drug packaging information, the number of people required to load each drug is determined based on the volume of each drug, the weight of each drug, and personnel information, the total number of people to be loaded is determined based on the personnel information, and the personnel unloading capacity is determined based on the total number of people to be loaded and the number of people required to load each drug, by referring to the following formula (3):

[0119] Number 7 JPEG2026020158000009.jpg40170

[0120] The number of people required for one load can be the number of people required to load one piece of luggage, and this number can be less than one, indicating that one person can carry multiple pieces of luggage at a time.

[0121] Specifically, the unit weight of the medicine is calculated based on the medicine information, and the number of medicines contained in one package is determined based on the packaging information. The weight of each medicine is then calculated based on the unit weight and the quantity of medicine per package. Calculation method: quantity x unit weight. This is then combined with the maximum weight and volume that one person can carry to determine the number of workers required per package. If the weight and volume of the medicines are too large, determine how many people are required to transport one package at a time. If the weight and volume of the medicines are too small, determine how many medicines one person can carry at a time. Furthermore, based on the total number of people involved in loading, determine the personnel's unloading capacity using equation (3).

[0122] The method provided in this embodiment first obtains the unit weight of the medicine from the medicine information, then obtains the quantity of medicines in each package from the medicine packaging information, determines the weight of each medicine, combines the weight of each medicine with the volume of each medicine, and takes human factors into consideration to determine the number of people required to load one package, helping to avoid waste of human resources and improve transportation efficiency. Finally, based on the total number of people loaded, a formula is used to calculate the personnel unloading capacity, and by concretizing the abstract transportation capacity, basic data is provided for measuring unloading capacity, allowing for flexible arrangements for different packages, so that the most reasonable personnel can be arranged regardless of the size or weight of the package.

[0123] In some embodiments, the maximum volume and weight that can be carried by one person are determined based on personnel information, and the number of people required to load each item is determined based on the maximum volume, maximum weight, volume per unit of medicine, and weight per unit of medicine, by referring to the following equation (4).

[0124] Number 8 JPEG2026020158000010.jpg21170[where n p is the number of people required to load one item, V max is the maximum volume that one person can carry, v is the volume per medicine, M max is the maximum weight that one person can carry, and m is the weight of one medicine.

[0125] Specifically, based on personnel information, the height and muscle strength of the weakest person among the personnel are used as the standard to determine the maximum volume and weight that one person can carry. The maximum weight that one person can carry is determined by excluding its own influence, dividing the maximum volume that one person can carry by the volume of one medicine and rounding down the result to an integer, and dividing the maximum weight that one person can carry by the weight of one medicine and rounding down the result to an integer. The smaller of these two values ​​is used as the number of people required to load one item.

[0126] The maximum volume that a person can carry is based on the person's height, and the maximum length of the medicine that can be carried is the value obtained by multiplying the person's height by the first base, the maximum width of the medicine that can be carried is the value obtained by multiplying the person's height by the second base, and the maximum height of the medicine that can be carried is the value obtained by multiplying the person's height by the third base.The maximum weight that one person can carry must take into account muscle endurance, and if there are many medicines, continuous work is required and the maximum weight may be smaller, but if there are only a few medicines, the transportation can be completed in several times and the maximum weight may be larger. For example, if the smallest member of the team is a man 170 cm tall and weighing 60 kg, and the first cardinal number is 0.6, the second cardinal number is 0.3, and the third cardinal number is 0.3, the maximum volume this worker can carry is considered to be 170 cm x 0.6 or less in length, and 170 cm x 0.3 or less in width and height. Because there are many medicines, the maximum weight does not exceed 15 kg. The maximum volume per medicine does not exceed the maximum volume that can be carried. However, if the weight is 25 kg, the number of people required to carry one medicine is 25 / 15, rounded up to two. If the maximum volume and weight per medicine are small, one person can carry multiple medicines. The cardinal number used for each transport is not necessarily the same and depends on the condition of the medicines and the personnel information. Please note that the above cardinal numbers are merely examples in this embodiment.

[0127] The method provided in this embodiment first determines the maximum volume and weight that one person can carry based on personnel information, and then calculates the number of people required to load each item based on the volume and weight of each medicine. By using a formula, personnel can be accurately arranged, which not only prevents the waste of human resources but also avoids the dangers caused by personnel overwork.

Claims

1. A smart management system for a cold chain logistics warehouse based on big data, obtaining and analyzing a loading plan and determining drug information, warehouse information; analyzing the pharmaceutical information and determining an appropriate storage temperature; analyzing the drug information, the warehouse information, and the appropriate storage temperature to estimate a quality assurance time of the drug in a non-cold chain environment; determining vehicle information based on the appropriate storage temperature and the drug information; and Formulating a loading strategy for reference by cold chain logistics warehouse management based on the drug information, the warehouse information, the vehicle information, and the quality assurance time in the non-cold chain environment; The step of analyzing the drug information, the warehouse information, and the appropriate storage temperature and estimating the quality assurance time of the drug in a non-cold chain environment includes: Obtaining non-refrigerated area information based on the warehouse information; analyzing the non-refrigerated area information to determine a temperature of the non-refrigerated area; determining the main ingredient of the drug based on the drug information; and analyzing the temperature of the non-refrigerated area, the main ingredients of the medicine, and the appropriate storage temperature to estimate the shelf life of the medicine in a non-cold chain environment; The step of analyzing the temperature of the non-refrigerated area, the main ingredients of the medicine, and the appropriate storage temperature and estimating the quality assurance time of the medicine in a non-cold chain environment includes: determining the ratio of the main ingredient of the drug based on the drug information; analyzing the main ingredients of the pharmaceutical products to determine the component characteristics of each main ingredient of the pharmaceutical product; analyzing the component characteristics to determine the temperature change characteristics of the main components of each pharmaceutical product; Based on the component characteristics, determining whether there is an interaction characteristic between the main components of any two types of medicines, and if there is an interaction characteristic, determining the temperature change characteristic of the medicine based on the temperature change characteristic of the main components of each medicine, the ratio of the components, and the interaction characteristic between the main components of the any two types of medicines by referring to the following formula: and analyzing the temperature of the non-refrigerated area and the temperature change characteristics of the medicine, and estimating the quality assurance time of the medicine in a non-cold chain environment. A system characterized by: Number 1 [Wherein, Vmix is ​​the temperature change characteristic of the pharmaceutical, v ｉ is the temperature change characteristic of the main ingredient of the i-th drug, p i is the ratio of the i-th drug's main ingredient in the drug, n is the total number of drug's main ingredients, A is the interaction matrix, A ij is the interaction characteristic p between the main ingredient of the i-th drug and the main ingredient of the j-th drug j is the ratio of the main ingredient of the jth drug in the drug.

2. determining vehicle information based on the appropriate storage temperature and the drug information; obtaining drug quantity and drug packaging information based on the drug information; determining the number of medicines based on the medicine quantity and the medicine packaging information; determining the size of each medicine based on the medicine packaging information; and The system of claim 1 , further comprising determining vehicle information based on the number of medications, the appropriate storage temperature, and the size of each medication.

3. The step of determining vehicle information based on the number of medicines, the appropriate storage temperature, and the size of each medicine includes: determining a volume per pharmaceutical product based on the size of the pharmaceutical product; determining appropriate stored vehicle information based on the appropriate storage temperature; Determining the number of items to be loaded into each appropriate storage vehicle based on the appropriate storage vehicle information and the size of each pharmaceutical product; Selecting an optimal vehicle from the appropriate storage vehicle information based on the volume per medicine and the number of medicines loaded in each appropriate storage vehicle, and extracting optimal vehicle information; determining the number of vehicles based on the number of medicines and the load capacity of the optimal vehicle; and The system according to claim 2, further comprising the step of determining vehicle information based on the optimum vehicle information and the number of vehicles.

4. The vehicle information also includes geographical location information of the vehicle, and the step of formulating a loading strategy based on the drug information, the warehouse information, the vehicle information, and the quality assurance time in the non-cold chain environment includes: obtaining geographical location information of the warehouse based on the warehouse information; determining route planning information based on the geographical location information of the vehicle and the geographical location information of the warehouse; analyzing the route planning information based on the optimal vehicle information to estimate a vehicle arrival time at the warehouse; and The system of claim 3, further comprising a step of formulating a loading strategy based on the pharmaceutical information, the warehouse information, the arrival time of the vehicle at the warehouse, and the quality assurance time in the non-cold chain environment.

5. After the step of formulating a loading strategy based on the drug information, the warehouse information, the arrival time of the vehicle at the warehouse, and the quality assurance time in the non-cold chain environment, determining a delivery destination of the medicine based on the medicine information; determining a vehicle transportation origin and an vehicle transportation destination based on the geographic location information of the warehouse and the delivery destination of the pharmaceutical product; determining each feasible route based on the vehicle transportation origin and the vehicle transportation destination; extracting route information for each feasible route based on each feasible route; analyzing the route information to determine route distance and road traffic conditions for the route; analyzing road traffic conditions of the route to determine a turbulence situation of the route; analyzing the perturbation status of the route to determine the impact of the feasible route on the temperature of the medicine; filtering the feasible routes based on the temperature influence to obtain a suitable route; estimating travel times for the suitable routes based on route distances of each suitable route and road traffic conditions of the routes; and 5. The system according to claim 4, further comprising a step of setting route information of an appropriate route that provides the shortest travel time as transportation route planning information.

6. The step of formulating a loading strategy based on the pharmaceutical information, the warehouse information, the arrival time of the vehicle at the warehouse, and the quality assurance time in the non-cold chain environment includes: determining warehouse personnel total number information and warehouse equipment total number information based on the warehouse information; analyzing the warehouse personnel total number information and the warehouse equipment total number information to determine personnel tasks and equipment tasks; determining personnel information and equipment information to be used for this retrieval based on the personnel task and the equipment task; analyzing the personnel information and the drug information to determine personnel unloading capabilities; Analyzing the equipment information to determine the number and size of equipment; Determining the warehouse's shipping capacity based on the personnel unloading capacity, the equipment quantity, the equipment size, and the size of each pharmaceutical product by referring to the following formula:

6. The system of claim 5, further comprising the step of formulating a loading strategy based on the personnel information, the outbound capacity of the warehouse, vehicle arrival times, and quality assurance times in the non-cold chain environment. Number 2 [Where B is the warehouse's shipping capacity, α is the cooperation rate coefficient between people and equipment, C is the unloading capacity of personnel, M is the quantity of equipment, S ｄ is the size of one piece of equipment, S ｇ is the size of one medicine.]

7. The step of analyzing the personnel information and the drug information to determine personnel unloading capabilities includes: determining a weight per unit of the medicine based on the medicine information and the medicine packaging information; determining the number of people required to load each item based on the volume per item of the medicine, the weight per item of the medicine, and the personnel information; determining a total number of people to be loaded based on the personnel information; and 7. The system according to claim 6, further comprising a step of determining personnel unloading capacity based on the total number of people loading and the number of people required for loading each item, by referring to the following formula: Number 3 [Where C is the unloading capacity of personnel, N is the total number of people loaded, n p is the number of people required to load one item.]

8. The step of determining the number of people required to load each medicine based on the volume per medicine, the weight per medicine, and the personnel information includes: determining a maximum volume that can be carried by one person and a maximum weight that can be carried by one person based on the personnel information; and The system according to claim 7, further comprising a step of determining the number of people required to load each item based on the maximum volume, the maximum weight, the volume per item of the medicine, and the weight per item of the medicine, by referring to the following formula: Number 4 [In the formula, n p is the number of people required to load one item, V ｍａｘ is the maximum volume that one person can carry, v is the volume per medicine, M ｍａｘ is the maximum weight that one person can carry, and m is the weight of one medicine.

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