Method for transporting pharmaceuticals at appropriate temperature by predicting temperature control values through artificial intelligence–based analysis of environmental and meteorological data on cold chain platform

Abstract

The present invention relates to a method for transporting pharmaceuticals at an appropriate temperature by predicting temperature control values through artificial intelligence–based analysis of environmental data and meteorological data on a cold chain platform. To achieve the above-described objective, the method of the present invention may be characterized by comprising: a step in which an administrator terminal transmits preset critical environmental data of a pharmaceutical to a main server; a step in which a transportation means equipped with a transport terminal, a pharmaceutical package, and a package environmental control device is prepared; a step in which the transport terminal transmits real-time environmental data of the pharmaceutical package to the main server; a step in which a weather information terminal transmits, to the main server, real-time meteorological data and meteorological data corresponding to a period after a lapse of a first time interval; a step in which the main server generates predicted environmental data of the pharmaceutical package corresponding to the period after the lapse of the first time interval using a first artificial intelligence module; a step in which the main server generates control setting values of the package environmental control device corresponding to the period after the lapse of the first time interval using a second artificial intelligence module; a step in which the main server transmits the control setting values to the package environmental control device; and a step in which the package environmental control device controls environmental elements of the pharmaceutical package in response to receiving the control setting values.

Description

A method for transporting pharmaceuticals at the appropriate temperature by analyzing environmental and weather data based on artificial intelligence on a cold chain platform to predict temperature control values.

[0001] The present invention relates to a method for transporting pharmaceuticals at an appropriate temperature by analyzing environmental and weather data based on artificial intelligence on a cold chain platform to predict temperature control values.

[0002] A cold chain refers to a system that maintains a low temperature during the storage and transportation of pharmaceuticals (especially vaccines, etc.) from their arrival to the final point of consumption or consumer (hospitals, pharmacies, public health centers, doctors, patients, etc.) to preserve quality and prevent deterioration.

[0003] Although various research and policies are required to secure a leading position in the scale of advanced cold chain businesses within the current blue ocean market, Korea still lacks a comprehensive legal framework, and in the case of pharmaceutical exports, the country largely relies on overseas logistics companies or certification bodies.

[0004] In particular, cold chain services are based on temperature data, and appropriate packaging, vehicles, warehouses, and distribution services must be provided based on data regarding products and packaging, transportation environment data, and price and weight / volume data. However, regarding the value of traditional logistics and cold chains, the profit margin for logistics providers is low compared to producers, and the proportion of variable costs such as energy corresponding to raw material costs is high, so it is inevitable that companies manufacturing cold chain products (especially pharmaceuticals) will incur significant costs to directly carry out cold chain transportation.

[0005] Furthermore, conventional cold chains have a problem in that data is lost when management or operational issues occur, or quality issues arise due to the manipulation of relevant data to minimize corporate losses, which ultimately results in damages (such as major medical accidents) being passed on entirely to consumers.

[0006] Meanwhile, environmental factors such as temperature, humidity, and pressure during the transportation and storage of pharmaceuticals are generally maintained by relying on environmental control devices such as air conditioners and differential pressure regulators. That is, for example, during the transportation of pharmaceuticals, the temperature of a container, such as a cabinet where the pharmaceuticals are stored, is controlled by an air conditioner. This can be configured so that if temperature data collected through a sensor equipped in the air conditioner deviates from a certain numerical range, the air conditioner is controlled to restore the container's temperature to within that range.

[0007] However, since this method controls the air conditioner only when the measured temperature data deviates from a preset range, unintended temperature deviations occurring during the time interval between the point at which the temperature data causing the control is collected and the point at which the container temperature returns to within the preset range have a negative impact on the stability of the pharmaceutical product. In particular, for pharmaceuticals sensitive to temperature changes, such as protein drugs, the decline in reliability regarding their quality reaches a severe level.

[0008] Furthermore, if the performance of the environmental control device is insufficient or the preset numerical range is set narrowly, there is a problem in that the precision of controlling environmental factors is lacking, which may actually increase the instability of environmental factors; additionally, even in cases of rapid external environmental changes, the inability to respond sufficiently quickly to such changes may exacerbate unintended deviations of environmental factors.

[0009] Accordingly, there is a demand for a pharmaceutical transportation and storage system that predicts environmental factors after a certain period based on weather environment data provided by external information sources, in addition to data on environmental factors collected by sensors, and controls environmental factor control devices based on this.

[0010] The problem that the present invention aims to solve is a method for transporting pharmaceuticals at an appropriate temperature by analyzing environmental and weather data based on artificial intelligence in a cold chain platform to predict temperature control values.

[0011] The problems that the present invention aims to solve are not limited to those mentioned above, and other unmentioned problems will be clearly understood by a person skilled in the art from the description below.

[0012] The method of the present invention for solving the above-described problem may be characterized by comprising the steps of: a manager terminal transmitting preset critical environment data of a pharmaceutical product to a main server; a transport means equipped with a transport terminal, a pharmaceutical product package, and a package environment control device; the transport terminal transmitting real-time environment data of the pharmaceutical product package to the main server; a weather information terminal transmitting real-time weather data and weather data after a first time interval elapsed to the main server; the main server generating predicted environment data of the pharmaceutical product package after a first time interval elapsed using a first artificial intelligence module; the main server generating control setting values ​​of the package environment control device after a first time interval elapsed using a second artificial intelligence module; the main server transmitting the control setting values ​​of the package environment control device to the package environment control device; and the package environment control device adjusting environmental elements of the pharmaceutical product package upon receiving the control setting values ​​of the package environment control device.

[0013] According to the present invention, by using real-time environmental data and real-time weather data of a pharmaceutical package collected during the transportation process of the pharmaceutical, the state of the pharmaceutical package after a certain period of time has elapsed is predicted, and the temperature and humidity of the pharmaceutical package are controlled in a preemptive response, thereby suppressing unexpected changes in the environmental state of the pharmaceutical package and, accordingly, maximizing the reliability of the pharmaceutical quality.

[0014] In addition, according to the present invention, the costs incurred during the transportation process of a pharmaceutical package are calculated differentially based on the resources used, and the final settlement is provided to the consumer according to a combined insurance system, thereby promoting the reliability and convenience of payment.

[0015] In addition, according to the present invention, during the transportation process of a pharmaceutical package, data regarding the operation information of a means of transport and data regarding the traffic environment are additionally utilized to predict the traffic environment along the route and to predict changes in environmental factors such as weather changes accordingly, thereby enabling the transportation of a pharmaceutical package while maintaining the quality of the pharmaceutical as high as possible.

[0016] In addition, according to the present invention, even when transporting pharmaceuticals using two means of transport, environmental factors of the pharmaceutical package of each means of transport can be independently controlled so that the quality of the final pharmaceutical after transport is maintained consistently even when each means of transport moves through different routes.

[0017] The effects of the present invention are not limited to those mentioned above, and other unmentioned effects will be clearly understood by a person skilled in the art from the description below.

[0018] FIG. 1 is a flowchart illustrating a method of one embodiment according to the present invention.

[0019] The advantages and features of the present invention and the methods for achieving them will become clear by referring to the embodiments described below in detail together with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below but may be implemented in various different forms. These embodiments are provided merely to ensure that the disclosure of the present invention is complete and to fully inform those skilled in the art of the scope of the present invention, and the present invention is defined only by the scope of the claims.

[0020] The terms used in this specification are for describing embodiments and are not intended to limit the invention. In this specification, the singular form includes the plural form unless specifically stated otherwise in the text. The terms "comprises" and / or "comprising" used in this specification do not exclude the presence or addition of one or more other components in addition to the components mentioned. Throughout the specification, the same reference numerals refer to the same components, and "and / or" includes each of the mentioned components and all combinations of one or more. Although terms such as "first," "second," etc., are used to describe various components, these components are not limited by these terms. These terms are used merely to distinguish one component from another. Therefore, the first component mentioned below may be the second component within the technical scope of the invention.

[0021] Unless otherwise defined, all terms used herein (including technical and scientific terms) may be used in a meaning commonly understood by those skilled in the art to which the present invention pertains. Additionally, terms defined in commonly used dictionaries are not to be interpreted ideally or excessively unless explicitly and specifically defined otherwise.

[0022] Hereinafter, in describing the method of the present invention, a platform for monitoring the entire process of pharmaceutical distribution is described as an example; however, this is merely illustrative, and the object of the method of the present invention is not limited to pharmaceuticals, and it is obvious that it can be applied by analogy to all ranges of products that a person skilled in the art can easily derive.

[0023] The method of the present invention can be performed within a system comprising a main server, a network, an administrator terminal, a means of transport, a transport terminal, a pharmaceutical package, a package environment control device, and a weather information terminal.

[0024] The main server may be a server operated by an operator who operates a cold chain platform operated by the method of the present invention, and may be a server that provides a web page, app page, program, or application related to the method of the present invention.

[0025] Furthermore, the main server may be a cloud server, and blockchain technology is embedded therein so that the specification data, transportation data, and storage data of the pharmaceuticals described below are distributedly stored and managed by blockchain technology, thereby fundamentally preventing data loss and manipulation.

[0026] A network refers to a connection structure that enables the exchange of information between each node, such as a manager terminal and a transport terminal. Examples of such networks include, but are not limited to, RF, 3GPP (3rd Generation Partnership Project) networks, LTE (Long Term Evolution) networks, 5GPP (5th Generation Partnership Project) networks, WIMAX (World Interoperability for Microwave Access) networks, the Internet, LAN (Local Area Network), Wireless LAN (Wireless Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), Bluetooth networks, NFC networks, satellite broadcasting networks, analog broadcasting networks, and DMB (Digital Multimedia Broadcasting) networks.

[0027] The administrator terminal and the transport terminal may be terminals provided with a web page, an app page (app list), a program, or an application related to the method of the present invention.

[0028] Meanwhile, the administrator terminal and the transport terminal can be implemented as computers capable of accessing the main server at a remote location via a network.

[0029] Specifically, the manager terminal and the transport terminal are wireless communication devices and may include all types of wireless communication devices such as navigation, PCS (Personal Communication System), GSM (Global System for Mobile communications), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication)-2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (W-Code Division Multiple Access), Wibro (Wireless Broadband Internet) terminals, smartphones, smartpads, tablet PCs, etc. Furthermore, they may include wired communication devices such as desktops, but are not limited thereto.

[0030] The administrator terminal may be a terminal used by an administrator managing a cold chain platform operated by the method of the present invention, but is not limited thereto.

[0031] The transport terminal may be a terminal used by a transporter of a product (e.g., pharmaceuticals, etc.) on a cold chain platform operated by the method of the present invention, but is not limited thereto.

[0032] A means of transportation can be a means of moving an object to be transported via various routes, such as land, sea, or air. For example, when transportation is carried out by land, an example of a means of transportation may be a cargo truck.

[0033] The pharmaceutical package may contain pharmaceuticals, for example, as an eco-friendly container box, and can be loaded onto a means of transport for transportation. Additionally, the pharmaceutical package is equipped with an independent power source, for example, an auxiliary battery, so that when the charge capacity of the main battery of the means of transport falls below a specific value, the cooler can be operated using the power from the independent power source, for example, the auxiliary battery.

[0034] The package environment control device includes devices capable of artificially changing various environmental factors, including a cooler, a differential pressure device, and a dehumidifier. For example, the package environment control device may be a device including a cooler for controlling temperature, a differential pressure device for controlling pressure, and a dehumidifier for controlling humidity, and one or more of each device may be included as needed. The operation of the package environment control device is performed by control setting values ​​received from the main server, and may also be operated by separate external operations as needed.

[0035] A weather information terminal may be a terminal equipped with a device capable of collecting various weather information through a sensor that detects weather-related information, or it may be a terminal that receives weather information from an external source providing weather information via communication. For example, a weather information terminal may be a terminal that collects various weather information provided by an institution that provides weather information, such as the Korea Meteorological Administration, via wired or wireless methods.

[0036] The method of the present invention can be performed within a system further comprising a transport information terminal and a traffic information terminal.

[0037] When a transport information terminal is moved together with a specific means of transport, it may be a terminal equipped with a device capable of collecting information regarding the location, direction, and speed of said means of transport, and may be a terminal equipped with a device capable of collecting satellite signals such as GPS signals.

[0038] A traffic information terminal may be a terminal equipped with a device capable of detecting traffic-related information, such as a camera or a LiDAR sensor, and may be a terminal that receives traffic information from an external source providing traffic information via communication. Preferably, the traffic information terminal may be a terminal that collects various traffic information provided by an agency providing traffic information via wired or wireless means, and in particular, may be a terminal that receives traffic information for an area dependent on the location of the traffic information terminal.

[0039]

[0040] The method of the present invention comprises the steps of: a manager terminal transmitting preset critical environment data of a pharmaceutical product to a main server; a transport means equipped with a transport terminal, a pharmaceutical product package, and a package environment control device; the transport terminal transmitting real-time environment data of the pharmaceutical product package to the main server; and a weather information terminal transmitting real-time weather data and weather data after a first time interval has elapsed to the main server. A step in which the main server generates predicted environmental data of a pharmaceutical package after the elapsed first time interval using a first artificial intelligence module, wherein the first artificial intelligence module is an artificial intelligence module trained to output predicted environmental data of the pharmaceutical package after the elapsed first time interval based on the real-time environmental data and the real-time weather data, and the first artificial intelligence module determines whether the difference value between the predicted environmental data after the elapsed first time interval and the weather data after the elapsed first time interval exceeds a verification value, and if the difference value is determined to exceed the verification value, the first artificial intelligence module is trained to derive predicted environmental data in which the difference value does not exceed the verification value, and if the difference value is determined not to exceed the verification value, the first artificial intelligence module outputs the predicted environmental data after the elapsed first time interval; A step in which the main server generates a control setting value of a package environment control device after the elapsed first time interval using a second artificial intelligence module, wherein the second artificial intelligence module is an artificial intelligence module trained to output a control setting value of the package environment control device based on environmental data of a pharmaceutical package, and the input layer of the second artificial intelligence module is connected to the output layer of the first artificial intelligence module to form the entire artificial intelligence module, and the second artificial intelligence module outputs the control setting value using predicted environmental data after the elapsed first time interval and weather data after the elapsed first time interval as input data;The method may be characterized by including the step of the main server transmitting a control setting value of the package environment control device to the package environment control device; and the step of the package environment control device adjusting an environmental element of the pharmaceutical package upon receiving the control setting value of the package environment control device.

[0041] In the above step, the pre-set critical environment data may be characterized as data that records information regarding environmental factors, including temperature, atmospheric pressure, and humidity, as environmental factors in which a pharmaceutical product packaged in a pharmaceutical package must be stored, as a numerical range. For example, based on information regarding the pharmaceutical product to be transported, the manager may input the pre-set critical environment data based on information regarding the temperature and humidity that must be maintained during transport. That is, the manager may input data reflecting information such as "temperature must be stored at 0 degrees Celsius or lower" and "humidity must be stored at 40% or lower" as critical environment data.

[0042] In addition, the main server stores mapped optimal temperatures according to the type of pharmaceutical, and may also have the quality of the pharmaceutical (superior, medium, inferior, discarded) matched based on the time the pharmaceutical is stored above or below the optimal temperature. Accordingly, the main server can calculate the time during which the transport and storage temperatures of the pharmaceutical exceed or fall below the optimal temperature, and update the current quality of the pharmaceutical in real time. Furthermore, the main server may set differential prices for pharmaceuticals provided to user terminals based on the quality of the pharmaceutical.

[0043] In the above step, the means of transport may be a means for transporting the pharmaceutical product to be transported in the form of a pharmaceutical package. The means of transport may be equipped with a cooling device, an air conditioning device, and a location tracking device, etc. The means of transport may be equipped with an independent means of communication, may secure the pharmaceutical package to transport it in a stable state, and may supply power to a transport terminal.

[0044] In the above step, if the environmental factors including the temperature, atmospheric pressure, and humidity of the pharmaceutical package fall outside the range of the preset critical environment data, the transport terminal may generate an environmental factor deviation alarm signal to the main server, and the alarm signal may be transmitted to the administrator terminal and the transport terminal.

[0045] In the above step, the real-time weather data and the weather data after the first time interval transmitted by the weather information terminal to the main server may be weather data received from an external weather information provider, such as a weather agency or a weather information provider, and may be data regarding weather information including temperature, atmospheric pressure, humidity, wind speed, sunlight, precipitation, and snowfall.

[0046] In addition, the real-time weather data and the weather data after the first time interval may be weather data obtained using the Korea Meteorological Administration API.

[0047] In addition, the first time interval may be a time interval greater than 1 and less than 180 seconds, preferably greater than 10 and less than 120 seconds, more preferably greater than 30 and less than 90 seconds, even more preferably greater than 45 and less than 75 seconds, and preferably a time interval of 60 seconds.

[0048] In the above step, the first artificial intelligence module may have a recurrent artificial neural network model. In this case, the first artificial intelligence module may collect a preset verification value, and the verification value may be provided by an administrator terminal. For example, if the environmental factor is temperature, and the difference value is 2 degrees Celsius and the verification value is 1 degree Celsius, the first artificial intelligence module may recalculate the predicted environmental data so that the difference value becomes 1 degree Celsius or less.

[0049] In addition, if the difference between the predicted environmental data after the first time interval and the weather data after the first time interval exceeds a verification value, the main server generates an environmental element deviation prediction alarm, and the prediction alarm signal can be transmitted to the administrator terminal and the transport terminal.

[0050] In addition, the above difference value may be a difference value regarding temperature, atmospheric pressure, and humidity, and the above verification value may be a difference value regarding temperature, atmospheric pressure, and humidity.

[0051] In the above step, the second artificial intelligence module may have an artificial neural network model having a first layer and a second layer. In this case, the second artificial intelligence module may additionally collect characteristic information of the pharmaceutical package, such as data regarding the specific heat and heat capacity of the materials constituting the pharmaceutical package, the specifications and volume of the pharmaceutical package, and the degree of sealing.

[0052] In addition, the second artificial intelligence module may be trained to output control setting values ​​for the pharmaceutical storage warehouse environment control device in addition to the control setting values ​​for the package environment control device. In this case, the second artificial intelligence module is configured to control the environment control device of the pharmaceutical storage warehouse where the pharmaceutical package is stored after the transportation of the pharmaceutical package is completed, based on various information including environmental data of the pharmaceutical package, thereby enabling the pharmaceutical storage warehouse to minimize changes caused by the pharmaceutical package to the environmental factors of the pharmaceutical package.

[0053] In the above step, when the package environment control device receives a control setting value of the package environment control device, the package environment control device may be characterized by controlling environmental factors including the temperature, atmospheric pressure, and humidity of the pharmaceutical package so that the environmental factors of the pharmaceutical package are included within the numerical range of the preset critical environment data.

[0054] In addition, the method of the present invention may further comprise the steps of: transmitting a pre-set pharmaceutical package transportation cost to the main server by the administrator terminal before the transportation of the pharmaceutical package begins; immediately after the transportation of the pharmaceutical package is completed, the main server calculates a first weight based on the entire real-time weather data collected during the transportation process and calculates a second weight based on the time interval of the first time segment; the main server derives a final pharmaceutical package transportation cost by applying the first weight and the second weight to the pre-set pharmaceutical package transportation cost; and the main server transmits the final pharmaceutical package transportation cost to the administrator terminal.

[0055] Additionally, the method of the present invention further comprises: a step in which, before the transportation of the pharmaceutical package begins, the administrator terminal transmits a preset pharmaceutical package transportation cost to the main server; and a step in which, before the transportation of the pharmaceutical package begins, the administrator terminal transmits transportation insurance-related data to the main server; and during the transportation of the pharmaceutical package, if environmental factors including the temperature, atmospheric pressure, and humidity of the pharmaceutical package deviate from the preset threshold environment data, the transport terminal generates an environmental factor deviation alarm signal to the main server; immediately after the transportation of the pharmaceutical package ends, the main server calculates a third weight based on the transportation insurance-related data; immediately after the transportation of the pharmaceutical package ends, the main server calculates a third weight based on the number of environmental factor deviation alarm signals generated during the transportation process; and the main server derives a final pharmaceutical package transportation cost by applying the third weight and the fourth weight to the preset pharmaceutical package transportation cost. And the main server may additionally include the step of transmitting the final pharmaceutical package transportation cost to the administrator terminal.

[0056] In addition, the method of the present invention may further include the step of the receiving terminal transmitting corrected environmental data of the pharmaceutical package to the main server after the environmental elements of the pharmaceutical package have been adjusted as the package environment control device receives the control setting value; and the step of the main server providing alternative route data of the means of transportation based on the real-time traffic data when it is determined that the second difference value between the real-time environmental data of the pharmaceutical package and the corrected environmental data exceeds a second verification value.

[0057] In addition, the method of the present invention comprises the steps of: a manager terminal transmitting preset critical environment data of a pharmaceutical product to a main server; a transport means equipped with a transport terminal, a transport information terminal, a pharmaceutical product package, and a package environment control device being prepared; the transport terminal transmitting real-time environment data of the pharmaceutical product package to the main server; the transport information terminal transmitting real-time operation data of the transport means to the main server; a weather information terminal transmitting real-time weather data and weather data after a first time interval to the main server; and a traffic information terminal transmitting real-time traffic data and traffic data after a first time interval to the main server. A step in which the main server generates predicted environmental data of a pharmaceutical package after the elapsed first time interval using a first artificial intelligence module, wherein the first artificial intelligence module is an artificial intelligence module trained to output predicted environmental data of the pharmaceutical package after the elapsed first time interval based on the real-time environmental data, the real-time driving data, the real-time weather data, and the real-time traffic data; wherein the first artificial intelligence module determines whether the difference value between the predicted environmental data after the elapsed first time interval and the weather data after the elapsed first time interval exceeds a verification value; wherein if the difference value is determined to exceed the verification value, the first artificial intelligence module is trained to derive predicted environmental data in which the difference value does not exceed the verification value; and if the difference value is determined not to exceed the verification value, the first artificial intelligence module outputs the predicted environmental data after the elapsed first time interval.The method may be characterized by comprising the step of the main server generating a control setting value of a package environment control device after the elapsed first time interval using a second artificial intelligence module, wherein the second artificial intelligence module is an artificial intelligence module trained to output a control setting value of the package environment control device based on environmental data of the pharmaceutical package, and the input layer of the second artificial intelligence module is connected to the output layer of the first artificial intelligence module to form the entire artificial intelligence module, and the second artificial intelligence module outputs the control setting value using predicted environmental data after the elapsed first time interval and weather data after the elapsed first time interval as input data; the step of the main server transmitting the control setting value of the package environment control device to the package environment control device; and the step of the package environment control device adjusting environmental elements of the pharmaceutical package upon receiving the control setting value of the package environment control device.

[0058] In the above step, the preset critical environment data may be characterized as data that records information regarding environmental factors, including temperature, atmospheric pressure, and humidity, as environmental factors in which the pharmaceutical product packaged in the pharmaceutical package must be stored, as a numerical range.

[0059] The above-mentioned preset critical environment data may be characterized by additionally including data regarding a geographical area that includes the entire route through which the pharmaceutical package is transported.

[0060] In the above step, if the environmental factors including the temperature, atmospheric pressure, and humidity of the pharmaceutical package fall outside the range of the preset critical environment data, the transport terminal may generate an environmental factor deviation alarm signal to the main server, and the alarm signal may be transmitted to the administrator terminal and the transport terminal.

[0061] In the above step, the real-time weather data and the weather data after the first time interval, which the weather information terminal transmits to the main server, may be characterized as weather data provided by an external weather information provider including the Korea Meteorological Administration, and as data relating to weather information including temperature, atmospheric pressure, humidity, wind speed, sunlight, precipitation, and snowfall.

[0062] In addition, the real-time weather data and the weather data after the first time interval may be characterized as weather data provided using the Korea Meteorological Administration API.

[0063] In addition, the first time interval may be a time interval greater than 1 and less than 180 seconds, preferably greater than 10 and less than 120 seconds, more preferably greater than 30 and less than 90 seconds, even more preferably greater than 45 and less than 75 seconds, and preferably a time interval of 60 seconds.

[0064] In the above step, if the difference between the predicted environment data after the first time interval and the weather data after the first time interval exceeds a verification value, the main server generates an environment element deviation prediction alarm, and the prediction alarm signal may be transmitted to the administrator terminal and the transport terminal.

[0065] In addition, the above difference value may be a difference value regarding temperature, atmospheric pressure, and humidity, and the above verification value may be a difference value regarding temperature, atmospheric pressure, and humidity.

[0066] In the above step, when the package environment control device receives a control setting value of the package environment control device, the package environment control device may be characterized by controlling environmental factors including the temperature, atmospheric pressure, and humidity of the pharmaceutical package so that the environmental factors of the pharmaceutical package are included within the numerical range of the preset critical environment data.

[0067] In the above step, the real-time operation data may be characterized as being information regarding the location, direction, and speed of the means of transportation.

[0068] In the above step, the real-time traffic data may be characterized as traffic information data regarding a geographical area that includes the entire route along which the pharmaceutical package is transported.

[0069] The above real-time traffic data may be characterized as traffic data received from an external traffic information provider, including information regarding the location, direction, and speed of each means of transportation present on the road, and information regarding control signals of traffic control devices such as traffic lights.

[0070] In addition, the method of the present invention may further include the step of the receiving terminal transmitting corrected environmental data of the pharmaceutical package to the main server after the environmental elements of the pharmaceutical package have been adjusted as the package environment control device receives the control setting value; and the step of the main server providing alternative route data of the means of transportation based on the real-time traffic data when it is determined that the second difference value between the real-time environmental data of the pharmaceutical package and the corrected environmental data exceeds a second verification value.

[0071]

[0072] Hereinafter, a modified example (not shown) of the method of the present invention will be described. In the modified example of the method of the present invention, the technical features of the method of the present invention described above may be applied, except for matters described below.

[0073] In a modified example of the method of the present invention, the method comprises: a first step in which an administrator terminal transmits preset critical environment data of a pharmaceutical product to a main server; a second step in which a transport means equipped with a transport terminal, a pharmaceutical product package, and a package environment control device is prepared; a third step in which the transport terminal transmits real-time environment data of the pharmaceutical product package to the main server; a fourth step in which a weather information terminal transmits real-time weather data and weather data after the elapsed first to third time intervals to the main server; a fifth step in which the main server generates predicted environment data of the pharmaceutical product package after the elapsed first to third time intervals using a first artificial intelligence module; a sixth step in which the main server generates a control setting value of the package environment control device after the elapsed time interval selected among the first to third time intervals using a second artificial intelligence module; and a seventh step in which the main server transmits the control setting value of the package environment control device to the package environment control device. The package environment control device may include an 8th step of controlling environmental elements of a pharmaceutical package during a selected time interval among the 1st to 3rd time intervals according to the control setting value of the package environment control device and performing the process again from the 3rd step.

[0074] In addition, the elapsed times of the first, second, and third time segments increase sequentially, with the first time segment having the shortest elapsed time and the third time segment having the longest elapsed time.

[0075] Additionally, the first artificial intelligence module may include a first-1 artificial intelligence module, a first-2 artificial intelligence module, and a first-3 artificial intelligence module, wherein the first-1 artificial intelligence module may be an artificial intelligence module trained to output predicted environmental data after the first time interval of the pharmaceutical package based on real-time environmental data and real-time weather data, the first-2 artificial intelligence module may be an artificial intelligence module trained to output predicted environmental data after the second time interval of the pharmaceutical package based on real-time environmental data and real-time weather data, and the first-3 artificial intelligence module may be an artificial intelligence module trained to output predicted environmental data after the third time interval of the pharmaceutical package based on real-time environmental data and real-time weather data, and the first-1 artificial intelligence module, the first-2 artificial intelligence module, and the first-3 artificial intelligence module may be artificial intelligence modules trained independently.

[0076] The second artificial intelligence module is an artificial intelligence module trained to output a control setting value of the package environment control device based on environmental data of the pharmaceutical package, and the input layer of the second artificial intelligence module is connected to the output layer of the first artificial intelligence module to form the entire artificial intelligence module, and the second artificial intelligence module can output a control setting value by using predicted environmental data after the elapsed of a selected time interval among the first to third time intervals and weather data after the elapsed of a selected time interval among the first to third time intervals as input data.

[0077] The main server processes predicted environmental data after the first time interval, predicted environmental data after the second time interval, and predicted environmental data after the third time interval, and can select a time interval after the predicted environmental data and weather data input to the second artificial intelligence module, and can select a time interval for controlling environmental factors of the pharmaceutical package in the environmental control device.

[0078] A variation of the method of the present invention may feature a technique for verifying and appropriately adjusting the control time unit according to the situation in preparation for cases where the predicted environment data output from the first artificial intelligence module is inaccurate due to inaccuracy of the data used to train the first artificial intelligence module or errors in the learning method.

[0079] If the difference between the maximum and minimum values ​​of the predicted environmental data after the first time interval, the predicted environmental data after the second time interval, and the predicted environmental data after the third time interval is less than the first reference value, the main server can select the first-third time intervals for the time interval after the predicted environmental data and weather data input to the second artificial intelligence module and the time interval for controlling the environmental elements of the pharmaceutical package in the environmental control device.

[0080] The fact that the values ​​of the predicted environmental data after the first, second, and third time intervals, which do not differ significantly in time, are within the standard range indicates that temperature, atmospheric pressure, and humidity do not change rapidly, and thus the AI ​​modules 1-1, 1-2, and 1-3 have generally made accurate predictions. In this case, the longest time interval, 1-3, is selected to allow the environmental control device to regulate the environmental elements of the pharmaceutical package for the longest possible duration based on the accurate prediction results.

[0081] In addition, if the difference between the maximum and minimum values ​​of the predicted environmental data after the first time interval, the predicted environmental data after the second time interval, and the predicted environmental data after the third time interval is greater than or equal to the first reference value and less than the second reference value which is greater than the first reference value, the main server may select the time interval after the predicted environmental data and weather data input to the second artificial intelligence module and the time interval for controlling the environmental elements of the pharmaceutical package in the environmental control device as the time interval in which the value of the predicted environmental data has the maximum value.

[0082] If the values ​​of the predicted environmental data after the first, second, and third time intervals are not within the standard range, it means that the AI ​​modules 1-1, 1-2, and 1-3 have generally made inaccurate predictions. In this case, to ensure a safety margin for the safety of the pharmaceutical product, the time interval in which the predicted environmental data reaches its maximum value is selected in preparation for the worst-case scenario (predicted highest temperature, pressure, and humidity). Based on this, the environmental control device is configured to adjust the environmental elements of the pharmaceutical package during that time interval using the control setting value predicted by the second AI.

[0083] Furthermore, if the difference between the maximum and minimum values ​​of the predicted environmental data after the first time interval, the predicted environmental data after the second time interval, and the predicted environmental data after the third time interval is greater than or equal to the second reference value, the main server may select the time interval after the predicted environmental data and weather data input to the second artificial intelligence module and the time interval for controlling the environmental elements of the pharmaceutical package in the environmental control device as the 1-1 time interval.

[0084] This is a case where the difference between the predicted environmental data values ​​after the first, second, and third time intervals is very large, indicating that the AI ​​modules 1-1, 1-2, and 1-3 have made incorrect predictions due to significant errors. In this case, the shortest time interval, 1-1, is selected to allow the environmental control device to adjust the environmental factors of the pharmaceutical package for the shortest possible time based on the inaccurate prediction results, and to return to the third stage as quickly as possible to make a new prediction.

[0085]

[0086] The method of the present invention described above may be implemented as a program (or application) to be executed in combination with a server, which is hardware, and stored on a medium.

[0087] The aforementioned program may include code encoded in a computer language such as C, C++, JAVA, or machine language, which can be read by the computer's processor (CPU) through the computer's device interface, in order for the computer to read the program and execute the methods implemented in the program. Such code may include functional code related to functions that define the necessary functions for executing the methods, and may include control code related to execution procedures necessary for the computer's processor to execute the functions according to a predetermined procedure. Additionally, such code may further include memory reference code regarding where (address) additional information or media necessary for the computer's processor to execute the functions should be referenced in the computer's internal or external memory. In addition, if the processor of the computer needs to communicate with any other computer or server located remotely in order to execute the above functions, the code may additionally include communication-related code regarding how to communicate with any other computer or server located remotely using the communication module of the computer, and what information or media to transmit or receive during communication.

[0088] The above-mentioned storage medium refers to a medium that stores data semi-permanently and is readable by a device, rather than a medium that stores data for a short period of time, such as a register, cache, or memory. Specifically, examples of the above-mentioned storage medium include, but are not limited to, ROM, RAM, CD-ROM, magnetic tape, floppy disk, and optical data storage device. That is, the above-mentioned program may be stored on various recording media on various servers that the computer can access, or on various recording media on the user's computer. Additionally, the above-mentioned medium may be distributed across networked computer systems, and computer-readable code may be stored in a distributed manner.

[0089] The steps of the method or algorithm described in connection with embodiments of the present invention may be implemented directly in hardware, implemented as a software module executed by hardware, or implemented by a combination thereof. The software module may reside in RAM (Random Access Memory), ROM (Read Only Memory), EPROM (Erasable Programmable ROM), EEPROM (Electrically Erasable Programmable ROM), Flash Memory, a hard disk, a removable disk, a CD-ROM, or any form of computer-readable recording medium well known in the art to which the present invention belongs.

[0090] Although embodiments of the present invention have been described above with reference to the attached drawings, those skilled in the art will understand that the present invention may be implemented in other specific forms without altering its technical concept or essential features. Therefore, the embodiments described above should be understood as illustrative in all respects and not restrictive.

Claims

1. A step in which the administrator terminal transmits preset critical environment data of the pharmaceutical to the main server; A step of preparing a means of transport equipped with a transport terminal, a pharmaceutical package, and a package environment control device; A step in which the above transport terminal transmits real-time environmental data of the pharmaceutical package to the above main server; A step in which a weather information terminal transmits real-time weather data and weather data after the first time interval has elapsed to the main server; A step in which the main server uses a first artificial intelligence module to generate predicted environment data of a pharmaceutical package after the elapsed first time interval; A step in which the main server uses a second artificial intelligence module to generate a control setting value of a package environment control device after the first time interval has elapsed; The step of the main server transmitting the control setting value of the package environment control device to the package environment control device; and A method characterized by including the step of controlling environmental elements of the pharmaceutical package as the package environment control device receives a control setting value of the package environment control device.

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