Smart management system for cold chain logistics warehouses 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] This application relates to the technical field of warehouses and logistics, and particularly to a smart management system for cold chain logistics warehouses based on big data.

Background Art

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

[0003] The conventional smart management system for cold chain logistics warehouses cannot properly provide comprehensive monitoring and timely management for pharmaceuticals that require strict requirements during loading into the warehouse. As a result, due to temperature changes, pharmaceuticals may not meet the warehouse storage requirements, leading to quality changes and potentially causing significant losses.

Summary of the Invention

Problems to be Solved by the Invention

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

Means for Solving the Problems

[0005] In a first aspect, this application provides a smart management system for cold chain logistics warehouses based on big data. The system has the following configuration: Steps of obtaining and analyzing a loading plan to determine pharmaceutical information and warehouse information; Steps of analyzing the pharmaceutical information to determine an appropriate storage temperature; A step of analyzing the aforementioned pharmaceutical information, warehouse information, and appropriate storage temperature to estimate the quality assurance time of the pharmaceutical in a non-cold chain environment. A step of determining vehicle information based on the appropriate storage temperature and the pharmaceutical information, and A step of formulating a loading strategy for cold chain logistics warehouse management to be used as a reference, based on the aforementioned pharmaceutical information, warehouse information, vehicle information, and quality assurance time in a non-cold chain environment.

[0006] Through the above technical means, based on the loading plan, information on the pharmaceuticals to be loaded and warehouse information for the loading location are determined. By analyzing the pharmaceutical and warehouse information, the appropriate storage temperature for the pharmaceuticals is determined, and this determination of the appropriate storage temperature provides the data base necessary for formulating subsequent loading strategies. Furthermore, based on the pharmaceutical information, warehouse information, and appropriate storage temperature, the quality assurance time for pharmaceuticals in a non-cold chain environment is estimated, allowing for a clear understanding of how many hours the pharmaceuticals should be transported within during loading, thus preventing changes in drug efficacy due to prolonged exposure to the non-cold chain environment. In addition, vehicle information is determined based on the appropriate storage temperature and pharmaceutical information. Subsequently, a loading strategy is formulated based on the pharmaceutical information, warehouse information, vehicle information, and quality assurance time in a non-cold chain environment. By accurately matching the appropriate storage temperature, vehicle temperature conditions, and quality assurance time in a non-cold chain environment, it is ensured that the pharmaceuticals remain at the appropriate storage temperature throughout the entire process, thereby guaranteeing the drug efficacy. Moreover, the formulation of a loading strategy improves the dispatch efficiency of cold chain vehicles and ensures the timely transport of pharmaceuticals.

[0007] Alternatively, the step of analyzing the aforementioned drug information, warehouse information, and appropriate storage temperature to estimate the quality assurance time of the drug in a non-cold chain environment comprises the following: Based on the aforementioned warehouse information, a step is to obtain information on non-refrigerated areas. The steps include analyzing the information on the non-refrigerated area to determine the temperature of the non-refrigerated area, Based on the aforementioned drug information, the steps include determining the main component of the drug, and A step of analyzing the temperature of the non-refrigerated area, the main components of the pharmaceutical product, and the appropriate storage temperature to estimate the quality assurance time of the pharmaceutical product in a non-cold chain environment.

[0008] Through the above technical means, information on non-refrigerated areas within the warehouse is obtained from warehouse information, the temperature of the non-refrigerated areas is determined by analyzing the non-refrigerated area information, the main components of the pharmaceuticals are determined based on pharmaceutical information, and finally, the quality assurance time of the pharmaceuticals in a non-cold chain environment is estimated by analyzing the non-refrigerated area information, the main components of the pharmaceuticals, and the appropriate storage temperature of the pharmaceuticals. Temperature monitoring of the non-refrigerated areas is achieved throughout the entire process, ensuring temperature accuracy and real-time performance, preventing errors due to manual work, and obtaining pharmaceutical components ensures that the subsequent evaluation of the quality assurance time of pharmaceutical components in a non-cold chain environment becomes more accurate. This provides sufficient informational support for determining the quality assurance time in a non-cold chain environment, improving the level of pharmaceutical safety.

[0009] Alternatively, the step of determining vehicle information based on the appropriate storage temperature and the pharmaceutical information has the following configuration: Based on the aforementioned pharmaceutical information, the steps include obtaining the quantity of pharmaceuticals and pharmaceutical packaging information. A step of determining the number of pharmaceuticals based on the aforementioned pharmaceutical quantity and pharmaceutical packaging information, A step of determining the size of each drug based on the aforementioned drug packaging information, and A step of determining vehicle information based on the number of pharmaceuticals, the appropriate storage temperature, and the size of each pharmaceutical.

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

[0011] Alternatively, the step of determining vehicle information based on the number of pharmaceuticals, the appropriate storage temperature, and the size of each pharmaceutical has the following configuration: A step of determining the volume per pharmaceutical product based on the size of each pharmaceutical product, A step of determining appropriate storage vehicle information based on the appropriate storage temperature, A step of determining the number of items to be loaded into each appropriate storage vehicle based on the aforementioned appropriate storage vehicle information and the size of each pharmaceutical item, Based on the volume per unit of the aforementioned pharmaceutical product and the number of units that can be loaded into each appropriate storage vehicle, the optimal vehicle is selected from the appropriate storage vehicle information, and the optimal vehicle information is extracted. A step of determining the number of vehicles based on the number of pharmaceuticals and the number of optimal vehicles that can carry them, and A step of determining vehicle information based on the aforementioned optimal vehicle information and the aforementioned number of vehicles.

[0012] Through the above technical means, the volume per pharmaceutical unit is calculated based on the size of each unit, a suitable vehicle is selected based on the appropriate storage temperature for the pharmaceuticals, the number of units that can be loaded into one vehicle is calculated based on the vehicle information, the vehicle with the highest space utilization rate is determined as the optimal vehicle based on the volume per pharmaceutical unit and the number of units loaded, the number of vehicles is determined based on the number of pharmaceuticals and the number of units loaded, the optimal vehicle information and number of vehicles are determined as vehicle information, and by selecting a suitable vehicle, it is ensured that the vehicle can provide the appropriate storage temperature required for the pharmaceuticals, and furthermore, the transport vehicle resources are utilized to the fullest extent through the calculation of the space utilization rate, thereby saving transport costs.

[0013] Alternatively, the step of analyzing the temperature of the non-refrigerated area, the main components of the pharmaceutical, and the appropriate storage temperature to estimate the quality assurance time of the pharmaceutical in a non-cold chain environment comprises the following: A step of determining the ratio of the main components of the drug based on the aforementioned drug information. A step of analyzing the main components of the aforementioned pharmaceuticals and determining the component characteristics of the main components of each pharmaceutical. The steps include analyzing the aforementioned component characteristics and determining the temperature-dependent characteristics of the main component of each pharmaceutical product. Based on the aforementioned component characteristics, determine whether there are interaction characteristics between the main components of any two types of pharmaceuticals, and if so, determine the temperature change characteristics of the pharmaceuticals by referring to the following formula based on the temperature change characteristics of the main components of each pharmaceutical, the ratio of the components, and the interaction characteristics between the main components of the any two types of pharmaceuticals, and A step of analyzing the temperature of the non-refrigerated area and the temperature change characteristics of the pharmaceutical product, and estimating the quality assurance time of the pharmaceutical product in a non-cold chain environment.

[0014] Number 1 JPEG0007829263000001.jpg42170

[0015] The above technical means allow for a deeper analysis of the main components of pharmaceuticals, obtaining their temperature-dependent characteristics, and further obtaining their interaction characteristics. This enables a more accurate determination of the temperature-dependent characteristics of pharmaceuticals, helping to prevent reactions between components and thus avoiding the occurrence of pharmaceutical safety problems. The designed formula calculates the temperature-dependent characteristics of pharmaceuticals based on the temperature-dependent characteristics of each pharmaceutical's main components, component ratios, and the interaction characteristics of any two pharmaceutical components. Furthermore, by combining the temperature-dependent characteristics of pharmaceuticals with non-cold chain environment temperatures, accurate scientific evidence is provided to determine the quality assurance time of pharmaceuticals in non-cold chain environments, facilitating subsequent adjustments and arrangements during pharmaceutical loading.

[0016] Alternatively, the vehicle information also includes the geographical location information of the vehicle. Based on the pharmaceutical information, the warehouse information, the vehicle information, and the quality assurance time in the non-cold chain environment, the steps of formulating the loading strategy have the following configuration: Based on the warehouse information, obtaining the geographical location information of the warehouse; Based on the geographical location information of the vehicle and the geographical location information of the warehouse, determining the route planning information; Based on the optimal vehicle information, analyzing the route planning information to estimate the time when the vehicle arrives at the warehouse, and Based on the pharmaceutical information, the warehouse information, the time when the vehicle arrives at the warehouse, and the quality assurance time in the non-cold chain environment, formulating the loading strategy.

[0017] By the above technical means, first, determine the geographical location of the warehouse based on the warehouse information, and then, based on the geographical location of the vehicle and the geographical location of the warehouse, determine the route planning information, and shorten the travel time of the vehicle to speed up the logistics speed and improve the overall logistics efficiency. Next, based on the optimal vehicle information, in combination with the route planning information, obtain the actual route situation, estimate the accurate time when the vehicle arrives at the warehouse, and based on the time when the vehicle arrives at the warehouse, the warehouse can make preparations in advance and start the loading operation immediately after the vehicle arrives. By comprehensively considering the pharmaceutical information, the warehouse information, the time when the vehicle arrives at the warehouse, and the quality assurance time in the non-cold chain environment, formulating an efficient loading strategy can make the overall process of loading smoother

[0018] Alternatively, after the step of formulating the loading strategy based on the pharmaceutical information, the warehouse information, the time when the vehicle arrives at the warehouse, and the quality assurance time in the non-cold chain environment, it further has the following configuration: Based on the pharmaceutical information, determining the delivery destination of the pharmaceutical; Based on the geographical location information of the warehouse and the delivery destination of the pharmaceutical, determining the vehicle transportation starting point and the vehicle transportation ending point; Based on the vehicle transportation starting point and the vehicle transportation ending point, determining each executable route; Steps to extract route information for each feasible route based on each feasible route, The steps include analyzing the aforementioned route information to determine the route distance and the road traffic conditions along the route. A step of analyzing the road traffic conditions along the aforementioned route and determining the degree of route instability. A step of analyzing the fluctuations of the aforementioned route and determining the effect of the feasible route on the temperature of the pharmaceutical product. Based on the aforementioned temperature influence, the feasible route is selected to obtain an appropriate route. A step of estimating the travel time for an appropriate route based on the route distance and road traffic conditions of each appropriate route, and A step in which route information for the most appropriate route with the shortest travel time is used as transportation route planning information.

[0019] Through the above technical means, the system first obtains the delivery destination of the pharmaceutical product from the pharmaceutical product information, then selects all passable routes using the warehouse location as the starting point and the pharmaceutical product delivery destination as the ending point, combines this with the vibration conditions of the route, selects a route with favorable vibration conditions based on the impact of vibration on the temperature of the pharmaceutical product, calculates the transportation time based on the route distance and road traffic conditions along the route, selects the route with the shortest transportation time, and considers the impact of the vibration conditions of the route on the temperature. This prevents situations where the temperature of the pharmaceutical product fluctuates significantly during transportation due to route factors, thereby preventing changes in quality. By selecting an appropriate route with a short travel time, the overall transportation becomes more reliable and faster, the risk of cold chain disruption due to transportation route factors is avoided as much as possible, and a scientific strategy is provided for transportation route planning.

[0020] Alternatively, the step of formulating a loading strategy based on the pharmaceutical information, warehouse information, the vehicle's arrival time at the warehouse, and the quality assurance time in a non-cold chain environment comprises the following: Based on the aforementioned warehouse information, the steps include determining the total number of warehouse personnel and the total number of warehouse facilities. A step of analyzing the total number of warehouse personnel and the total number of warehouse facilities to determine personnel tasks and equipment tasks. Based on the personnel task and the equipment task, a step is to determine the personnel information and equipment information to be used for this shipment. A step of analyzing the personnel information and the pharmaceutical information to determine the personnel's unloading capacity, The step of analyzing the aforementioned equipment information to determine the quantity and size of the equipment, The steps include determining the warehouse's outbound capacity by referring to the following formula based on the unloading capacity of the personnel, the quantity of equipment, the size of the equipment, and the size of each pharmaceutical product, and A step of formulating a loading strategy based on the aforementioned personnel information, the warehouse's outbound capacity, the vehicle's arrival time, and the quality assurance time in the non-cold chain environment.

[0021] Math 2 JPEG0007829263000002.jpg33170

[0022] Through the above technical means, information on the total number of warehouse personnel and warehouse equipment is obtained, and based on the task information of each person and piece of equipment, the personnel and equipment that can be used for the current loading are determined, providing a data base for the subsequent calculation of the warehouse's outbound capacity. By combining the unloading capacity of personnel, the number of equipment items, and the size of the equipment with the size of each pharmaceutical item, the warehouse's outbound capacity is calculated using a formula, allowing for an accurate understanding of the warehouse's outbound capacity. Subsequently, rational basic information is provided for coordination with vehicles, and by calculating the start time of cargo transport in advance based on the vehicle's arrival time, a situation is achieved where vehicles do not wait for cargo, and cargo does not wait for vehicles after being released from the refrigerated warehouse.

[0023] Alternatively, the step of analyzing the personnel information and the pharmaceutical information to determine the personnel's unloading capacity has the following configuration: A step of determining the weight per unit of pharmaceutical based on the aforementioned pharmaceutical information and the aforementioned pharmaceutical packaging information. A step of determining the number of people required to load one unit of pharmaceutical based on the volume per unit, the weight per unit of pharmaceutical, and the personnel information. A step of determining the total number of people to load the cargo based on the aforementioned personnel information, and The step of determining the unloading capacity of the personnel by referring to the following formula, based on the total number of people required for loading and the number of people required for loading each item.

[0024] Math 3 JPEG0007829263000003.jpg27170

[0025] Through the above technical means, the unit weight of the drug is first obtained from the drug information, then the quantity of drug in each package is obtained from the drug packaging information, the weight per drug is determined, the weight per drug is combined with the volume per drug, and the number of people required to load one package is determined, taking human factors into consideration, which helps to avoid wasting human resources and improve transportation efficiency, and finally, the unloading capacity of the personnel is calculated using a formula based on the total number of people loading, thereby concretizing the abstract transportation capacity and providing data for measuring unloading capacity, which can be flexibly arranged for different packages, and the most rational number of personnel can be arranged regardless of the size or weight of the package.

[0026] Alternatively, the step of determining the number of people required to load one unit based on the volume per unit of the pharmaceutical, the weight per unit of the pharmaceutical, and the personnel information comprises the following: A step of determining the maximum volume and the maximum weight that one person can carry based on the aforementioned personnel information, and A step in which the number of people required to load one unit is determined by referring to the following formula, based on the maximum volume, the maximum weight, the volume per unit of the pharmaceutical, and the weight per unit of the pharmaceutical.

[0027] Math 4 JPEG0007829263000004.jpg32170

[0028] Through the above technical means, first, based on personnel information, the maximum volume and weight that one person can carry are determined. Then, considering the volume and weight of each pharmaceutical product, the number of people required to load each product is calculated. By using a formula, personnel can be accurately allocated, preventing waste of human resources and avoiding the dangers of overwork.

[0029] The following brief description of the accompanying drawings, which are necessary for depicting embodiments or the prior art, is provided below to clearly illustrate the embodiments of this application or the technical means within the prior art. The accompanying drawings described below are merely some embodiments of this application, and a person skilled in the art can obtain other drawings based on these accompanying drawings, assuming no creative activity is required. [Brief explanation of the drawing]

[0030] [Figure 1] This is a schematic diagram illustrating an application scenario provided in one embodiment of this application. [Figure 2] This is a flowchart of a smart management system for a cold chain logistics warehouse based on big data, provided in one embodiment of this application. [Modes for carrying out the invention]

[0031] To further clarify the purpose, technical means, and advantages of this application, the technical means in the embodiments of this application will be described in detail below with reference to the drawings in the embodiments of this application, although it goes without saying that the embodiments described are only some of the embodiments of this application, not all of them. All other embodiments derived from the embodiments of this application, without any creative activity by a person skilled in the art, are all within the scope of protection of this application.

[0032] As used herein, the term "and / or" includes any and all combinations of one or more related components listed together. For example, A and / or B means either A exists alone, A and B exist together, or B exists alone. As used herein, the symbol " / " generally indicates an "or" relationship between the preceding and following related components, unless otherwise specified.

[0033] The embodiments of this application will be described in detail below with reference to the drawings in the specification.

[0034] Conventional smart management systems for cold chain logistics warehouses ensure the quality of goods by establishing a cold chain environment throughout the process, from warehousing to transportation, based on the appropriate storage temperature for the goods. However, while refrigerated conditions can be guaranteed at the transition from warehousing to transportation, this can easily disrupt the cold chain for pharmaceuticals, which require strict temperature control. This can alter the efficacy of the drugs and potentially render them ineffective.

[0035] Based on this, this application provides a smart management system for cold chain logistics warehouses based on big data. Based on the loading plan, it determines information on pharmaceuticals to be loaded and warehouse information for the loading location, analyzes the pharmaceutical information and warehouse information to determine the appropriate storage temperature for the pharmaceuticals, further analyzes the warehouse information to determine warehouse environment information, combines the appropriate storage temperature and warehouse environment information with the pharmaceutical information to derive the quality assurance time for pharmaceuticals in a non-cold chain environment, obtains the quality assurance time in a non-cold chain environment, then provides basic information for planning the process of loading pharmaceuticals from the warehouse to the vehicle, determines vehicle information based on the appropriate storage temperature and pharmaceutical information, and further formulates a loading strategy based on pharmaceutical information, warehouse information, vehicle information and quality assurance time in a non-cold chain environment. Through the system provided in this application, it is possible to start from the loading plan, acquire corresponding pharmaceutical information and warehouse information, and smartly formulate a loading strategy, avoiding situations where pharmaceuticals remain in a non-cold chain environment for a long time during the loading process and their efficacy changes due to inaccuracies or inefficiencies in the loading strategy.

[0036] Figure 1 is a schematic diagram illustrating an application scenario provided in one embodiment of this application. In a scenario where pharmaceuticals are loaded from a refrigerated warehouse onto transport vehicles, the method provided in this application is used to develop different loading strategies based on the loading plan, thereby preventing disruptions to the cold chain during the loading process.

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

[0038] The server retrieves and analyzes loading plans from the cold chain logistics warehouse order management system, determines drug information and warehouse information, analyzes drug information to determine appropriate storage temperature, estimates the quality assurance time of the drug in a non-cold chain environment based on drug information, warehouse information and appropriate storage temperature, then determines vehicle information based on appropriate storage temperature and drug information, and finally formulates a loading strategy for cold chain logistics warehouse management based on drug information, warehouse information, vehicle information and quality assurance time in a non-cold chain environment. This allows for the formulation of different loading strategies for different drugs, preventing cold chain disruption events from occurring during the management of the cold chain logistics warehouse and altering the drug's efficacy due to an inappropriate loading strategy for the current drug.

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

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

[0041] S201: Steps to obtain and analyze loading plans and determine pharmaceutical information and warehouse information.

[0042] A loading plan may be a pharmaceutical loading plan formulated based on customer requirements.

[0043] The drug information may be the information the customer needs in this case. This drug information may include the active ingredient of the drug, the quantity of the drug, drug packaging information, and the appropriate storage temperature for the drug.

[0044] Warehouse information may refer to the warehouse where the pharmaceuticals are being loaded. Warehouse information may include information on non-refrigerated areas, the geographical location of the warehouse, the total number of warehouse personnel, and the total number of warehouse facilities.

[0045] Specifically, after formulating a loading plan based on customer requirements, the loading plan is analyzed using natural language processing technology to obtain its contents, and important information such as the pharmaceutical information to be loaded and the warehouse information to be used for loading is extracted.

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

[0047] The appropriate storage temperature may be the ambient temperature in which the drug is stored, in order to ensure that the efficacy of the drug does not change during storage and transport, and this ambient temperature may be a single temperature range.

[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 determined from the storage conditions.

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

[0050] The quality assurance time for pharmaceuticals in non-cold chain environments may be the maximum acceptable time when pharmaceuticals requiring cold chain storage are stored in an environment where the appropriate storage temperature cannot be reached.

[0051] Specifically, the system analyzes pharmaceutical information through natural language processing to determine the main components of the pharmaceuticals, determines the impact of the warehouse on the pharmaceuticals based on warehouse information, and then, by combining the main components of the pharmaceuticals, the impact of the warehouse on the pharmaceuticals, and the appropriate storage temperature for the pharmaceuticals, it estimates the maximum acceptable time for pharmaceuticals to be stored in an environment where the appropriate storage temperature is not reached, i.e., the quality assurance time in a non-cold chain environment, using mathematical analysis methods.

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

[0053] Vehicle information may be used in this pharmaceutical loading plan. Vehicle information includes vehicle size, cargo bed temperature, optimal vehicle selection, and number of vehicles.

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

[0055] S205: A step to formulate a loading strategy for cold chain logistics warehouse management to refer to, based on the aforementioned pharmaceutical information, warehouse information, vehicle information, and quality assurance time in a non-cold chain environment.

[0056] Specifically, when loading is required, we will comprehensively consider pharmaceutical information, warehouse information, vehicle information, and quality assurance time in a non-cold chain environment, formulate the loading strategy using mathematical analysis methods, and provide it to cold chain logistics warehouse managers as a reference to facilitate rational arrangements and improve loading efficiency.

[0057] The method provided in this embodiment determines the pharmaceutical information to be loaded and the warehouse information of the loading location based on the loading plan, and by analyzing the pharmaceutical information and warehouse information, the appropriate storage temperature for the pharmaceutical is determined, providing a data base necessary for formulating a subsequent loading strategy. Furthermore, based on the pharmaceutical information, warehouse information, and the appropriate storage temperature for the pharmaceutical, the quality assurance time in a non-cold chain environment for the pharmaceutical is estimated, making it clear how many hours the transportation of the pharmaceutical should be completed at the time of loading, thus preventing changes in drug efficacy due to prolonged retention of the pharmaceutical in a non-cold chain environment. In addition, vehicle information is determined based on the appropriate storage temperature and pharmaceutical information for the pharmaceutical, and then a loading strategy is formulated based on the pharmaceutical information, warehouse information, vehicle information, and quality assurance time in a non-cold chain environment. By accurately matching the appropriate storage temperature for the pharmaceutical, vehicle temperature conditions, and quality assurance time in a non-cold chain environment for the pharmaceutical, it is ensured that the pharmaceutical remains at an appropriate storage temperature throughout the entire process, thereby guaranteeing the efficacy of the pharmaceutical. Furthermore, the development of a loading strategy will improve the dispatch efficiency of cold chain vehicles, ensuring the timely transportation of pharmaceuticals.

[0058] In some embodiments, non-refrigerated area information is obtained based on warehouse information, the temperature of the non-refrigerated area is determined by analyzing the non-refrigerated area information, the main components of the pharmaceutical are determined based on pharmaceutical information, and the temperature of the non-refrigerated area, the main components of the pharmaceutical, and the appropriate storage temperature are analyzed to estimate the quality assurance time of the pharmaceutical in a non-cold chain environment.

[0059] Non-refrigerated area information may refer to areas within the warehouse excluding the refrigerated warehouse where pharmaceuticals are stored. Non-refrigerated area information includes the temperature of the non-refrigerated areas.

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

[0061] The main component of a pharmaceutical product can be the main component that makes up the product and has its efficacy or effect, and may be a single compound or multiple compounds. In a specific implementation method, various pharmaceutical products and their information are stored in a pharmaceutical database, and the main component of a pharmaceutical product can be obtained by querying the pharmaceutical information in the pharmaceutical database.

[0062] Specifically, the process begins by determining the area information within the warehouse, excluding the refrigerated warehouse where pharmaceuticals are stored, based on warehouse data. Temperature sensors are then used to extract the ambient temperature of this area as the temperature of the non-refrigerated area. Based on the pharmaceutical information, the main components of the pharmaceuticals are retrieved by querying a pharmaceutical database. The temperature of the non-refrigerated area, the main components of the pharmaceuticals, and the appropriate storage temperature for the pharmaceuticals are comprehensively considered, and mathematical analysis methods are used to estimate the quality assurance time of the pharmaceuticals in a non-cold chain environment.

[0063] The method provided in this embodiment obtains information on non-refrigerated areas within a warehouse from warehouse information, analyzes the non-refrigerated area information to determine the temperature of the non-refrigerated area, then determines the main component of the pharmaceutical based on pharmaceutical information, and finally estimates the quality assurance time of the pharmaceutical in a non-cold chain environment by analyzing the non-refrigerated area information, the main component of the pharmaceutical, and the appropriate storage temperature of the pharmaceutical. Temperature monitoring of the non-refrigerated area is achieved throughout the entire process, ensuring temperature accuracy and real-time performance, preventing errors due to manual work, and obtaining pharmaceutical components ensures that the subsequent evaluation of the quality assurance time of the pharmaceutical components in a non-cold chain environment becomes more accurate. This provides sufficient informational support for determining the quality assurance time in a non-cold chain environment, improving the level of pharmaceutical safety.

[0064] In some embodiments, drug information is used to obtain the quantity of drugs and drug packaging information, the number of drugs is determined based on the quantity of drugs and drug packaging information, the size of each drug is determined based on the drug packaging information, and vehicle information is determined based on the number of drugs, appropriate storage temperature, and size of each drug.

[0065] The quantity of pharmaceuticals may be the amount of pharmaceuticals required for this shipment. The unit of measurement for pharmaceutical quantities may be one box or one bottle.

[0066] The pharmaceutical packaging information may include the packaging information of the pharmaceuticals being loaded. This information may include the size of each pharmaceutical unit, the packaging material, and the shape of the pharmaceutical packaging.

[0067] The number of pharmaceutical units may represent the number of packages after the pharmaceuticals are loaded. The number of pharmaceutical units represents the smallest unit of transport during transit.

[0068] The size of a single drug unit may be the size of the packaging after the drug has been packaged.

[0069] Specifically, first, based on pharmaceutical information, the quantity of pharmaceuticals to be shipped and pharmaceutical packaging information are obtained, and the number of pharmaceuticals required for packaging at one time is determined. Next, the quantity of pharmaceuticals is divided by the number of pharmaceuticals required per unit to calculate the number of pharmaceuticals after packaging. Then, based on the pharmaceutical packaging information, the size of each pharmaceutical unit is determined. Finally, considering the number of pharmaceuticals, the size of each pharmaceutical unit, and the appropriate storage temperature for the pharmaceuticals, a vehicle whose cargo bed can provide the appropriate storage temperature for the pharmaceuticals is selected. Furthermore, the vehicle size and number of vehicles are determined from these vehicles through calculations, and the vehicle with the most suitable size is designated as the optimal vehicle, and the information of the optimal vehicle is recorded as vehicle information.

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

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

[0072] The volume of a single drug unit may be the volume of the drug after packaging. The volume of a single drug unit can be calculated from the size of the drug unit.

[0073] Appropriate storage vehicle information could include information on refrigerated vehicles capable of providing the appropriate storage temperature for pharmaceuticals.

[0074] The optimal vehicle information would likely be that of the vehicle with the highest space utilization rate among the appropriate storage vehicles for the transportation of pharmaceuticals in this case.

[0075] The number of items loaded may represent the optimal number of pharmaceuticals that can be loaded onto a vehicle at one time.

[0076] The number of vehicles involved may represent the optimal number of vehicles for this loading operation.

[0077] Specifically, first, the packaging shape of the pharmaceutical is determined based on the pharmaceutical packaging information. Next, the volume per pharmaceutical unit is calculated using a volume calculation formula based on the pharmaceutical packaging size. Furthermore, a vehicle capable of setting the cargo bed temperature to the appropriate storage temperature for the pharmaceutical is selected as the appropriate vehicle. Subsequently, based on the size and volume per pharmaceutical unit, a cargo bed size close to an integer multiple of the size per pharmaceutical unit is selected from the appropriate vehicles. The number of units that can be loaded onto these cargo beds is calculated, and the volume of the cargo bed is calculated from the cargo bed size. The volume per pharmaceutical unit is multiplied by the number of units that can be loaded onto the appropriate vehicle to obtain the volume of pharmaceuticals that can be loaded onto one vehicle. The space utilization rate of the cargo bed is obtained by dividing the volume of pharmaceuticals that can be loaded onto one vehicle by the volume of the cargo bed. The vehicle with the highest space utilization rate is selected as the optimal vehicle, and the required number of vehicles is determined based on the number of units that can be loaded onto the optimal vehicle and the number of pharmaceuticals. The calculation method involves dividing the number of pharmaceuticals by the number of units loaded and rounding up, and the optimal vehicle information and number of vehicles are used as the vehicle information.

[0078] For example, a pharmaceutical package is a rectangular prism with a length of 1 meter, a width of 2 meters, and a height of 1 meter. Two suitable vehicles exist: one with a cargo bed 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 bed length of 7.8 meters, a width of 3 meters, and a height of 1.5 meters (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, then vehicle A can carry 9 × 2 × 2 = 36 pharmaceuticals. Its volume is 36 × 1 × 1 × 2 = 72 cubic meters, and the cargo bed volume is 9.2 × 4.5 × 2 = 82.8 cubic meters, resulting in a space utilization rate of 87%. Using a similar calculation, vehicle B's cargo bed space utilization rate is obtained as 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 number of vehicles that can carry them. The calculation method is number of pharmaceuticals / optimal number of vehicles that can carry them, and the result is rounded up to obtain the number of vehicles. For example, if there are 100 units of pharmaceuticals and one optimal vehicle can carry 19 units of pharmaceuticals, the required number of vehicles is 100 / 19, rounded up to 6. Therefore, 6 optimal vehicles are needed for this transport, and the vehicle information will consist of the optimal vehicle information and the optimal number of vehicles.

[0079] The method provided in this embodiment calculates the volume per pharmaceutical unit based on the size of each unit, selects an appropriate vehicle based on the appropriate storage temperature for the pharmaceuticals, calculates the number of units that can be loaded into one vehicle based on the vehicle information, then determines the optimal vehicle with the highest space utilization rate based on the volume per pharmaceutical unit and the number of units loaded, determines the number of vehicles based on the number of pharmaceuticals and the number of units loaded, determines the optimal vehicle information and number of vehicles as vehicle information, and by selecting an appropriate vehicle, it is ensured that the vehicle can provide the appropriate storage temperature required for the pharmaceuticals, and furthermore, the transport vehicle resources are utilized to the fullest extent through the calculation of the space utilization rate, thereby saving transport costs.

[0080] In some embodiments, based on pharmaceutical information, the ratio of the main components of the pharmaceutical is determined, the main components of the pharmaceutical are analyzed, the component characteristics of each main component of the pharmaceutical are determined, the temperature change characteristics of each main component of the pharmaceutical are determined, based on the component characteristics, it is determined whether there are interaction characteristics between the main components of any two types of pharmaceuticals, if so, the temperature change characteristics of the pharmaceuticals are determined based on the temperature change characteristics of each main component of the pharmaceutical, the ratio of the components, and the interaction characteristics between the main components of any two types of pharmaceuticals, the temperature of the non-refrigerated area and the temperature change characteristics of the pharmaceuticals are analyzed, and the quality assurance time of the pharmaceuticals in a non-cold chain environment is estimated.

[0081] Based on the temperature-dependent 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-dependent characteristics of the drugs are determined by referring to the following equation (1).

[0082] Number 5 JPEG0007829263000005.jpg48170

[0083] The ratio of the main components of a drug can be the proportion that each main component occupies within the drug, and the sum of the ratios of each component equals 1.

[0084] Component characteristics can refer to the physical and chemical properties of the components that make up a pharmaceutical product.

[0085] Temperature change characteristics refer to the properties of a pharmaceutical product where the temperature of the main component changes over time under constant ambient temperature conditions.

[0086] Interaction properties refer to the characteristics of two pharmaceuticals where, after mixing their main components in a certain ratio, their physical and chemical properties change.

[0087] The temperature-dependent properties of a pharmaceutical product may be characteristics that change over time under constant ambient temperature conditions.

[0088] Specifically, by consulting the description of the drug, the ratio of the drug's main components is obtained. Based on the main components, the chemical formula and component name of the drug are obtained. The structural formula of the drug's main components is determined from the component name and chemical formula. The number of chemical bonds and functional groups present is determined by analyzing the structural formula of the drug's main components. Based on the type and number of chemical bonds and functional groups, the physical and chemical properties of the drug's main components are determined. By determining the component characteristics of the drug's main components from the physical and chemical properties, the temperature change characteristics of the drug's main components can be determined. Furthermore, considering the interaction between the drug's main components, after the two components are mixed, it is confirmed whether the two drug's main components react under the drug's form based on the structural formulas of the two drug's main components and the drug's form, such as liquid state or cup cell state. If a reaction occurs, the reaction result between the two is analyzed through the functional groups and chemical bonds contained in the structural formulas of the two drug's main components, and the interaction characteristics between them are determined. Finally, using equation (1), the temperature change characteristics of each drug are determined based on the temperature change characteristics of its main component, the ratio of the components, and the interaction characteristics of the main components of any two drugs. 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, i.e., the quality assurance time of the drug in a non-cold chain environment, is estimated.

[0089] The method provided in this embodiment allows for a deeper analysis of the main components of a pharmaceutical product, obtaining the temperature change characteristics of the main components, and further obtaining the interaction characteristics between the main components of the pharmaceutical product. This enables a more accurate determination of the temperature change characteristics of the pharmaceutical product, helping to prevent reactions between components and thus avoid the occurrence of pharmaceutical safety problems. The designed formula calculates the temperature change characteristics of a pharmaceutical product based on the temperature change characteristics of the main components of each pharmaceutical product, the component ratio, and the interaction characteristics of the main components of any two pharmaceutical products. Furthermore, by combining the temperature change characteristics of the pharmaceutical product with the non-cold chain environment temperature, it provides accurate scientific evidence for obtaining the quality assurance time of the pharmaceutical product in a non-cold chain environment, which is convenient for subsequent adjustments and arrangements during pharmaceutical product loading.

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

[0091] The geographical location information of the warehouse may disclose the geographical location of the warehouse where the loading will take place. The geographical location information of the warehouse may include longitude and latitude information.

[0092] Vehicle geographic location information may include information that discloses the optimal location of the vehicle involved in the loading operation, as part of the vehicle information. Vehicle geographic location information may also include longitude and latitude information.

[0093] Route planning information can be information that selects a route from one location to another according to certain criteria. In this embodiment, the starting point of the route plan is the vehicle's current location, and the ending point of the route plan is the location of the warehouse.

[0094] Specifically, the system obtains the warehouse's longitude and latitude based on warehouse information, then determines the warehouse's geographical location based on longitude and latitude, combines this with the vehicle's geographical location to determine the vehicle's current location as the starting point and the warehouse's location as the ending point, selects all feasible routes with the help of a third-party platform program, selects the route with the shortest travel time from all feasible routes, determines this shortest travel time route information as route planning information, obtains optimal vehicle performance indicators based on optimal vehicle information, determines the optimal vehicle speed from the vehicle performance indicators, obtains road traffic information for the shortest travel time route from the third-party platform, judges the route's traffic conditions based on the road traffic information, and combines vehicle information and route information to determine the vehicle's arrival time at the warehouse. Based on the vehicle's arrival time, the warehouse can prepare before the vehicle arrives, start loading operations immediately upon arrival, and avoid situations where there is a long wait after the vehicle arrives. This improves loading efficiency and allows for the formulation of scientific loading strategies.

[0095] The method provided in this embodiment first determines the geographical location of the warehouse based on warehouse information, then determines route planning information based on the vehicle's geographical location and the warehouse's geographical location, thereby accelerating the speed of logistics and improving overall logistics efficiency by reducing vehicle travel time. Next, based on optimal vehicle information, the actual route conditions are obtained by combining it with the route planning information, and the accurate time of vehicle arrival at the warehouse is estimated. Based on the time of vehicle arrival at the warehouse, the warehouse is prepared in advance so that loading operations can begin immediately after the vehicle arrives. By comprehensively considering pharmaceutical information, warehouse information, vehicle arrival time at the warehouse, and quality assurance time in a non-cold chain environment, an efficient loading strategy can be formulated, making the overall loading process smoother.

[0096] In some embodiments, the destination of the pharmaceutical product is determined based on the pharmaceutical product information; the starting point and ending point of the vehicle transport are determined based on the geographical location information of the warehouse and the destination of the pharmaceutical product; feasible routes are determined based on the starting point and ending point of the vehicle transport; route information is extracted for each feasible route; the route information is analyzed to determine the route distance and road traffic conditions of the route; the route fluctuations are determined by analyzing the road traffic conditions of the route; the impact of the feasible route on the temperature of the pharmaceutical product is determined by analyzing the route fluctuations; feasible routes are selected based on the temperature impact to obtain an appropriate route; the travel time for each appropriate route is determined based on the route distance and road traffic conditions of the route; and the route information of the appropriate route with the shortest travel time is used as transport route planning information.

[0097] Route undulation can be the degree of undulation felt by vehicles traveling along a feasible route due to road traffic conditions. In a specific implementation, route undulation may be part of the road traffic conditions, which can be obtained from a third-party platform. To avoid errors in the information from the third-party platform, drivers obtain road traffic information during the actual transport process through their transport history, feed this information back into the system, and save it in the route database.

[0098] The impact on the temperature of pharmaceuticals may be due to changes in the placement of the pharmaceuticals caused by road vibrations, which alters the heat dissipation process and thus changes the temperature of the pharmaceuticals.

[0099] A feasible route could be any route that allows the vehicle to reach its destination from its starting point to its end point.

[0100] An appropriate route might be one where road conditions do not significantly affect the medication.

[0101] Transportation route planning information may include information about the route selected for this transportation.

[0102] Specifically, the delivery destination of the pharmaceuticals is obtained from the pharmaceutical information, and the location of the loading warehouse is designated as the starting point of vehicle transport, and the delivery destination of the pharmaceuticals as the end point of vehicle transport. All feasible routes between these two locations and road traffic information for those routes 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 fluctuations along the route is determined, and the distances of sections without fluctuations, sections with slight fluctuations, and sections with severe fluctuations are calculated to determine the fluctuation status of the route. Based on the fluctuation status of the route, a simple judgment can be made based on the route information even if the conditions of some sections of the route are unknown.

[0103] The impact of route vibration on the temperature of pharmaceuticals is determined by analyzing the distance ratio and vibration level of sections with no vibration, sections with mild vibration, and sections with severe vibration. For example, in a certain transport route, the percentage of sections with vibration must be less than 30% (including sections with severe and mild vibration), and the percentage of sections with severe vibration must not exceed 10%. If it is known from information on a third-party platform and route database that 70% of the route is without vibration and 20% is with mild vibration, and the remaining section is unknown, the vibration level of the remaining section is determined based on the road type. If it is a highway section, it is a section with no vibration; if it is a national or provincial road, it is a section with mild vibration; and if it is a prefectural or municipal road, it is a section with severe vibration. If the remaining section is determined to be a section with severe vibration, the total percentage of sections with severe and mild vibration on this route is 30%, and the percentage of sections with severe vibration is 10%. Therefore, the vibration level of the route has an excessive impact on the temperature of pharmaceuticals, making it unsuitable for this transport, and the route needs to be replanned. Please note that the requirements for the road sections used for transportation may differ each time, and the above description in this embodiment is merely an example.

[0104] All routes where the proportion of each road section meets the requirements and the ground conditions are favorable are determined as appropriate routes. Based on the travel time of these appropriate routes, the route with the shortest travel time is determined as the transport route, and this transport route information is determined as transport route planning information.

[0105] The method provided in this embodiment first obtains the delivery destination of the pharmaceutical product from the pharmaceutical product information, then selects all passable routes using the warehouse location as the starting point and the pharmaceutical product delivery destination as the ending point, combines this with the turbulence of the route, selects a route with favorable turbulence based on the impact of turbulence on the temperature of the pharmaceutical product, calculates the transportation time based on the route distance and road traffic conditions along the route, selects the route with the shortest transportation time, and considers the impact of turbulence on temperature during the transportation process. This prevents situations where the temperature of the pharmaceutical product fluctuates significantly due to route factors during the transportation process, leading to changes in quality. By selecting an appropriate route with a short travel time, the overall transportation becomes more reliable and faster, the risk of cold chain disruption due to transportation route factors is avoided as much as possible, and a scientific strategy is provided for transportation route planning.

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

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

[0108] Number 6 JPEG0007829263000006.jpg29170

[0109] The total number of warehouse personnel could represent the number of everyone currently inside the warehouse.

[0110] The total number of warehouse facilities information may represent information about the various types of equipment currently available for loading and unloading in the warehouse.

[0111] Personnel tasks can be tasks that personnel within the warehouse are currently working on.

[0112] Equipment tasks can be the tasks currently being performed by various pieces of equipment within the warehouse.

[0113] The unloading capacity of the personnel involved in this task may be the minimum unloading capacity they possess, and the criteria for measuring unloading capacity may be the volume of the cargo or the weight of the cargo.

[0114] Warehouse retrieval capacity can represent the warehouse's ability to transport goods from the refrigerated warehouse to vehicles at a speed that is sufficient for further delivery.

[0115] Specifically, warehouse information allows us to determine the number of personnel and equipment within the warehouse, and whether these personnel and equipment are currently engaged in any task. If they are not engaged in a task, they can be used to participate in the current loading plan. For example, if there are 50 personnel and 10 forklifts in the warehouse, but 20 personnel and 5 forklifts are engaged in another task, the remaining 30 personnel and 5 forklifts can be used for the current loading plan. The equipment may also include elevators.

[0116] Based on personnel information involved in the task, and combined with pharmaceutical information, the unloading capacity of the personnel is obtained through analysis. The quantity and size of the equipment are obtained from basic equipment information, and the warehouse's outbound capacity is calculated using a formula. α is the personnel-equipment coordination coefficient, which is related to the skill level of the personnel and the type of equipment. It is derived based on actual transportation conditions to date, with a maximum value of 1, indicating seamless coordination. For example, if all employees involved in this loading plan are highly skilled and the equipment is small and easy to operate, the personnel-equipment coordination coefficient will approach 1. The larger the ratio of equipment size to the size of a single pharmaceutical item, JPEG0007829263000007.jpg46 approaches 1, at which point the warehouse's outbound capacity increases. The warehouse's outbound capacity is calculated by substituting the equipment quantity, equipment size, and size per pharmaceutical unit into equation (2). After determining the outbound capacity, a loading strategy is formulated by combining it with personnel information, vehicle arrival time, and quality assurance time in a non-cold chain environment.

[0117] The method provided in this embodiment obtains information on the total number of warehouse personnel and the total number of warehouse facilities. Furthermore, based on the task information of each personnel and piece of equipment, it determines the personnel and equipment that can be used for the current loading. This provides a data base for calculating the warehouse's outbound capacity. By combining the unloading capacity of personnel, the number of equipment items, and the size of the equipment with the size of each pharmaceutical item, the warehouse's outbound capacity is calculated using a formula, allowing for an accurate understanding of the warehouse's outbound capacity. This then provides rational basic information for coordination with vehicles. By calculating the start time of cargo transport in advance based on the vehicle's arrival time, it is possible to achieve a state where vehicles do not wait for cargo, and cargo does not wait for vehicles after being released from the refrigerated warehouse.

[0118] In some embodiments, the weight per unit of pharmaceutical is determined based on pharmaceutical information and pharmaceutical packaging information; the number of people required to load one unit is determined based on the volume per unit of pharmaceutical, the weight per unit of pharmaceutical, and personnel information; the total number of people required to load is determined based on personnel information; and the unloading capacity of the personnel is determined by referring to the following formula (3) based on the total number of people required to load and the number of people required to load one unit.

[0119] Number 7 JPEG0007829263000008.jpg40170

[0120] The number of people required to load one item can be the number of people needed to load one item, and this number can be less than one, indicating that one person can carry multiple items at once.

[0121] Specifically, the unit weight of the pharmaceutical is determined based on the pharmaceutical information, and the number of pharmaceuticals contained in one package is determined based on the packaging information. The weight per pharmaceutical unit is then calculated based on the unit weight and the quantity of pharmaceuticals per unit. Calculation method: Quantity × Unit weight. Next, the number of workers required per package is determined by combining this with the maximum weight and volume that one person can carry. If the weight and volume of the pharmaceuticals are too large, the number of people required to carry one package at once is determined. If the weight and volume of the pharmaceuticals are too small, the number of units that one person can carry at once is determined. Furthermore, the unloading capacity of the personnel is determined using formula (3) based on the total number of people involved in loading.

[0122] The method provided in this embodiment first obtains the unit weight of a drug from drug information, then obtains the quantity of drugs in each package from drug packaging information, determines the weight per drug, combines the weight per drug with the volume per drug, and, considering human factors, determines the number of people required to load one package, thus helping to avoid wasting human resources and improve transportation efficiency. Finally, based on the total number of people loading, the unloading capacity of the personnel is calculated using a formula, concretizing the abstract transportation capacity and providing data for measuring unloading capacity. This allows for flexible arrangement for different packages, enabling the most rational personnel to be arranged regardless of the size or weight of the package.

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

[0124] Number 8 JPEG0007829263000009.jpg21170[where n p This refers to the number of people required to load one item, V max v is the maximum volume that one person can carry, v is the volume per unit of medicine, M max [where m is the maximum weight that one person can carry, and m is the weight per unit of medicine.]

[0125] Specifically, based on personnel information, the maximum volume and weight that one person can carry are determined using the height and muscle strength of the weakest person among the personnel. The maximum weight that one person can carry is calculated by eliminating the influence of the weight itself, dividing the maximum volume that one person can carry by the volume per unit of medicine and rounding down the result to an integer, and dividing the maximum weight that one person can carry by the weight per unit of 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 unit.

[0126] The maximum volume that a person can carry is determined based on the person's height, with the maximum length of the medicine that can be carried being the height multiplied by the first base number, the maximum width being the height multiplied by the second base number, and the maximum height being the height multiplied by the third base number. The maximum weight that one person can carry must take muscular endurance into consideration. If there are many medicines, continuous work will be required, which may reduce the maximum weight, while if there are few medicines, the transport can be completed in several attempts, which may increase the maximum weight. For example, if the smallest member is a male 170cm tall and weighing 60kg, and the first base unit is 0.6, the second base unit is 0.3, and the third base unit is 0.3, then the maximum volume this worker can carry is estimated to be 170cm x 0.6 or less in length, and 170cm x 0.3 or less in width and height. Because there are many pharmaceuticals, the maximum weight does not exceed 15kg, and the maximum volume of a single pharmaceutical item does not exceed the maximum volume that can be carried. However, if the weight is 25kg, then the number of people carrying one pharmaceutical item would be 2 (25 / 15 rounded up). If the maximum volume and weight per pharmaceutical item are small, one person can carry multiple items. The base unit used for each transport is not necessarily the same and depends on the condition of the pharmaceuticals and the personnel information. It should be noted that the above base units 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, then calculates the number of people required to load one unit, taking into account the volume and weight of each pharmaceutical product. By using a formula, personnel can be accurately arranged, preventing waste of human resources and avoiding the dangers of overwork.

Claims

1. A smart management system for cold chain logistics warehouses based on big data, Steps include obtaining and analyzing loading plans, and determining pharmaceutical information and warehouse information. A step of analyzing the aforementioned drug information and determining an appropriate storage temperature. A step of analyzing the aforementioned pharmaceutical information, warehouse information, and appropriate storage temperature to estimate the quality assurance time of the pharmaceutical in a non-cold chain environment. A step of determining vehicle information based on the appropriate storage temperature and the pharmaceutical information, and The process includes the step of formulating a loading strategy for cold chain logistics warehouse management to be used as a reference, based on the aforementioned pharmaceutical information, warehouse information, vehicle information, and quality assurance time in a non-cold chain environment. The step of analyzing the aforementioned pharmaceutical information, warehouse information, and appropriate storage temperature to estimate the quality assurance time of the pharmaceutical in a non-cold chain environment is: Based on the aforementioned warehouse information, a step is to obtain information on non-refrigerated areas. The steps include analyzing the information on the non-refrigerated area to determine the temperature of the non-refrigerated area, Based on the aforementioned drug information, the steps include determining the main component of the drug, and The step includes analyzing the temperature of the non-refrigerated area, the main components of the pharmaceutical product, and the appropriate storage temperature to estimate the quality assurance time of the pharmaceutical product in a non-cold chain environment. The step of analyzing the temperature of the non-refrigerated area, the main components of the pharmaceutical product, and the appropriate storage temperature to estimate the quality assurance time of the pharmaceutical product in a non-cold chain environment is: A step of determining the ratio of the main components of the drug based on the aforementioned drug information. A step of analyzing the main components of the aforementioned pharmaceuticals and determining the component characteristics of the main components of each pharmaceutical. The steps include analyzing the aforementioned component characteristics and determining the temperature-dependent characteristics of the main component of each pharmaceutical product. Based on the aforementioned component characteristics, determine whether there are interaction characteristics between the main components of any two types of pharmaceuticals, and if so, determine the temperature change characteristics of the pharmaceuticals by referring to the following formula based on the temperature change characteristics of the main components of each pharmaceutical, the ratio of the main components of the pharmaceuticals, and the interaction characteristics between the main components of the any two types of pharmaceuticals, and The step includes analyzing the temperature of the non-refrigerated area and the temperature change characteristics of the pharmaceutical product, and estimating the quality assurance time of the pharmaceutical product in a non-cold chain environment. A system characterized by the following features. Number 1 [In the formula, Vmix is ​​the temperature-dependent characteristic of the pharmaceutical product, v ｉ This refers to the temperature change characteristics of the main component of Class I pharmaceuticals, p i is the ratio of the main component of the Class i drug in the drug, n is the total number of main components of the drug, A is the interaction matrix, A ij The interaction characteristics p between the main component of Class i pharmaceuticals and the main component of Class j pharmaceuticals j This represents the ratio of the main ingredient of a Class J pharmaceutical product within the pharmaceutical product.

2. The step of determining vehicle information based on the appropriate storage temperature and the pharmaceutical information is as follows: Based on the aforementioned pharmaceutical information, the steps include obtaining the quantity of pharmaceuticals and pharmaceutical packaging information. A step of determining the number of pharmaceuticals based on the aforementioned pharmaceutical quantity and pharmaceutical packaging information, A step of determining the size of each drug based on the aforementioned drug packaging information, and The system according to claim 1, characterized by including the step of determining vehicle information based on the number of pharmaceuticals, the appropriate storage temperature, and the size of each pharmaceutical.

3. The step of determining vehicle information based on the number of pharmaceuticals, the appropriate storage temperature, and the size of each pharmaceutical is as follows: A step of determining the volume per pharmaceutical product based on the size of each pharmaceutical product. A step of determining appropriate storage vehicle information based on the appropriate storage temperature, A step of determining the number of items to be loaded into each appropriate storage vehicle based on the aforementioned appropriate storage vehicle information and the size of each pharmaceutical item, Based on the volume per unit of the aforementioned pharmaceutical product and the number of units that can be loaded into each appropriate storage vehicle, the optimal vehicle is selected from the appropriate storage vehicle information, and the optimal vehicle information is extracted. A step of determining the number of vehicles based on the number of pharmaceuticals and the number of items that can be loaded onto the optimal vehicle, and The system according to claim 2, characterized by including a step of determining vehicle information based on the optimal vehicle information and the number of vehicles.

4. The vehicle information also includes the geographical location information of the vehicle, and the step of formulating a loading strategy based on the pharmaceutical information, the warehouse information, the vehicle information and the quality assurance time in a non-cold chain environment is, A step to obtain the geographical location information of the warehouse based on the aforementioned warehouse information. A step of determining route planning information based on the geographical location information of the vehicle and the geographical location information of the warehouse, The steps include: analyzing the route planning information based on the aforementioned optimal vehicle information to estimate the vehicle's arrival time at the warehouse; and The system according to claim 3, characterized by including the step of formulating a loading strategy based on the aforementioned pharmaceutical information, the warehouse information, the vehicle's arrival time at the warehouse, and the quality assurance time in a non-cold chain environment.

5. After the step of formulating a loading strategy based on the aforementioned pharmaceutical information, warehouse information, the vehicle's arrival time at the warehouse, and the quality assurance time in the non-cold chain environment, Based on the aforementioned drug information, the step of determining the delivery destination of the drug, A step of determining the starting point and ending point of vehicle transport based on the geographical location information of the warehouse and the delivery destination of the pharmaceuticals, A step of determining each feasible route based on the vehicle transport starting point and the vehicle transport ending point, Steps to extract route information for each feasible route based on each feasible route, The steps include analyzing the aforementioned route information to determine the route distance and the road traffic conditions along the route. A step of analyzing the road traffic conditions along the aforementioned route and determining the degree of route instability. A step of analyzing the fluctuations of the aforementioned route and determining the effect of the feasible route on the temperature of the pharmaceutical product. Based on the effect of the aforementioned pharmaceutical on temperature, select the feasible route and obtain an appropriate route. A step of estimating the travel time for an appropriate route based on the route distance and road traffic conditions of each appropriate route, and The system according to claim 4, further comprising the step of using route information of the most appropriate route that minimizes travel time as transportation route planning information.

6. The step of formulating a loading strategy based on the aforementioned pharmaceutical information, warehouse information, the vehicle's arrival time at the warehouse, and the quality assurance time in a non-cold chain environment is: Based on the aforementioned warehouse information, the steps include determining the total number of warehouse personnel and the total number of warehouse facilities. A step of analyzing the total number of warehouse personnel and the total number of warehouse facilities to determine personnel tasks and equipment tasks. Based on the personnel task and the equipment task, a step is to determine the personnel information and equipment information to be used for this shipment. A step of analyzing the personnel information and the pharmaceutical information to determine the personnel's unloading capacity, The step of analyzing the aforementioned equipment information to determine the quantity and size of the equipment, The steps include determining the warehouse's outbound capacity by referring to the following formula based on the unloading capacity of the personnel, the quantity of equipment, the size of the equipment, and the size of each pharmaceutical product, and The system according to claim 5, characterized by including the step of formulating a loading strategy based on the personnel information, the warehouse's outbound capacity, the vehicle's arrival time, and the quality assurance time in the non-cold chain environment. Math 2 [In the formula, B is the warehouse's outbound capacity, α is the human-equipment coordination coefficient, C is the personnel's unloading capacity, M is the quantity of equipment, S ｄ The size is per unit of equipment, S ｇ This is the size of one individual drug unit.

7. The step of analyzing the personnel information and the pharmaceutical information to determine the personnel's unloading capacity is: A step of determining the weight per unit of pharmaceutical based on the aforementioned pharmaceutical information and the aforementioned pharmaceutical packaging information. A step of determining the number of people required to load one unit of pharmaceutical based on the volume per unit, the weight per unit of pharmaceutical, and the personnel information. A step of determining the total number of people to load the cargo based on the aforementioned personnel information, and The system according to claim 6, characterized by including the step of determining the unloading capacity of personnel by referring to the following formula based on the total number of people loading and the number of people required to load each item. Math 3 [In the formula, C is the unloading capacity of the personnel, N is the total number of people loading, n p This is the number of people required to load one item.

8. The step of determining the number of people required to load one unit of pharmaceutical based on the volume per unit, the weight per unit of pharmaceutical, and the personnel information is as follows: A step of determining the maximum volume and the maximum weight that one person can carry based on the aforementioned personnel information, and The system according to claim 7, characterized by including the step of determining the number of people required to load one unit based on the maximum volume, the maximum weight, the volume per unit of the pharmaceutical, and the weight per unit of the pharmaceutical, by referring to the following formula. Math 4 [where n p is the number of people required for each loading, V ｍａｘ is the maximum volume that one person can carry, v is the volume per pharmaceutical product, M ｍａｘ is the maximum weight that one person can carry, and m is the weight per pharmaceutical product.]

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