CN113919787A - Auxiliary material adding method for biological product transportation, storage medium and electronic equipment - Google Patents

Auxiliary material adding method for biological product transportation, storage medium and electronic equipment Download PDF

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Publication number
CN113919787A
CN113919787A CN202111257779.1A CN202111257779A CN113919787A CN 113919787 A CN113919787 A CN 113919787A CN 202111257779 A CN202111257779 A CN 202111257779A CN 113919787 A CN113919787 A CN 113919787A
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transportation
biological product
time
package
biological
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罗志勤
丘佳倩
阮好姬
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Yunzhou Biosciences (guangzhou) Inc
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Yunzhou Biosciences (guangzhou) Inc
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083Shipping
    • G06Q10/0832Special goods or special handling procedures, e.g. handling of hazardous or fragile goods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/901Indexing; Data structures therefor; Storage structures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods

Abstract

The invention provides an auxiliary material adding method for biological product transportation, a computer storage medium and electronic equipment, wherein the method comprises the following steps: s1, constructing a biological product storage information database, wherein the storage information database comprises storage conditions and activity data of a plurality of biological products; s2, acquiring the type of the biological product to be transported; s3, matching corresponding storage conditions and activity data from the storage information database according to the type of the biological product; s4, calculating the transportation time of the biological product; s5, designing a transportation package of the biological product according to the transportation time of the biological product and by combining the storage condition and the activity data matched with the biological product; s6, calculating the temperature attenuation coefficient in the transportation process according to the transportation package of the biological product; and S7, calculating auxiliary materials required to be configured for the transportation package. According to the method provided by the embodiment of the invention, the waste of auxiliary materials can be reduced as much as possible, and the cost is controlled.

Description

Auxiliary material adding method for biological product transportation, storage medium and electronic equipment
Technical Field
The invention relates to the field of biological product transportation, in particular to an auxiliary material adding method for biological product transportation, a computer storage medium and electronic equipment.
Background
With the continuous development of biotechnology and internet, more and more people choose to purchase biological products such as vectors, viruses and the like through outsourcing companies. The biological product is transported differently from other ordinary express deliveries, the requirement on the environment is extremely strict, the biological product is inactivated and invalid if the biological product is careless, and the whole production and transportation is short of one step.
There are many cold chain facilitators on the market that can handle the transportation of fresh goods, but due to the extreme environment required for biological products (e.g. virus storage environment is usually 80 ℃ below zero), the special cold chain transportation in the whole process obviously increases the cost greatly. Therefore, in the delivery process, a certain amount of auxiliary materials (such as dry ice) are put into the package according to actual requirements, so that the package environment can meet the requirement of the biological product on the environment in the transportation process.
At present, the amount of the added auxiliary materials is mainly controlled by manpower, but the manual control mainly has two defects: 1. the judgment of different personnel on the amount of the auxiliary materials to be added into the same package has certain difference and no uniformity, so that the amount of the auxiliary materials is difficult to determine, and the accurate freight price is difficult to determine for a user; 2. in order to avoid this problem, an excessive amount of auxiliary material is often added to the package, which results in increased transportation costs and affects the user's selection and shopping experience during the purchase of the product.
Disclosure of Invention
In order to solve the above technical problems, in one aspect, the present invention provides a method for adding auxiliary materials for biological product transportation.
The auxiliary material adding method for biological product transportation provided by the embodiment of the invention comprises the following steps:
s1, constructing a biological product storage information database, wherein the storage information database comprises storage conditions and activity data of a plurality of biological products;
s2, acquiring the type of the biological product to be transported;
s3, matching corresponding storage conditions and activity data from the storage information database according to the type of the biological product;
s4, calculating the transportation time of the biological product;
s5, designing a transportation package of the biological product according to the transportation time of the biological product and by combining the storage condition and the activity data matched with the biological product;
s6, calculating the temperature attenuation coefficient in the transportation process according to the transportation package of the biological product;
and S7, calculating auxiliary materials required to be configured for the transportation package.
According to the method for adding the auxiliary materials for biological product transportation, the auxiliary materials required by the transportation package for transporting the biological products are calculated in advance, the types and the number of the auxiliary materials added into the transportation package are accurately controlled, the biological activity of the biological products when the biological products reach users can be guaranteed, the waste of the auxiliary materials and the cost can be reduced as much as possible, the transportation cost can be accurately estimated, and the customer loss caused by the transportation cost can be reduced.
According to some embodiments of the invention, the biological product comprises a virus and a vector.
According to some embodiments of the invention, the transportation time of the biological product comprises a waiting time for receiving, a clearance time, and a transit node time, and the transportation time T of the biological product is calculated by the following formula:
T=(t1+t2*m+t3*n)*x
wherein t1 represents the waiting time, t2 represents the customs time, m represents the number of customs, t3 represents the median of the historical transit node time, n represents the number of transit nodes, and x represents the adjustment coefficient.
According to some embodiments of the invention, step S5 includes:
s51, acquiring the variety of each variety in the biological product, and respectively calculating the safe temperature according to each variety;
s52, performing primary sub-packaging on various varieties of the biological products according to different safe temperatures;
s53, obtaining the expected production cycle of the biological products contained in the primary sub-package in the same sub-package, and carrying out secondary sub-package on each variety of the biological products according to different expected production cycles to obtain the transportation package.
According to some embodiments of the invention, step S6 includes:
s61, acquiring the volume of the biological products in each transportation package and the required packaging;
s62, calculating a latitude difference value between the receiving place and the delivery place and a highest temperature difference value between the receiving place and the delivery place within a preset time period after the delivery time;
and S63, calculating the temperature attenuation coefficient in the transportation process.
According to some embodiments of the invention, the predetermined time is 5-9 days.
According to some embodiments of the invention, in step S7, the type and amount of auxiliary materials that the transportation package needs to be configured with are calculated according to the temperature decay coefficient of the biological product, the transportation time, and the parameters of the transportation package.
According to some embodiments of the invention, the method of calculating the type and amount of auxiliary materials to be configured for the transportation package comprises:
acquiring a temperature attenuation system, transportation time, transportation packages and the types and the number of corresponding auxiliary materials of the biological products in a set time period, and generating sample data;
training the sample data based on a convolutional neural network model;
obtaining a matching relation among a temperature attenuation system, transportation time and transportation packages of the biological products and the types and the number of corresponding auxiliary materials;
and calculating the type and the quantity of auxiliary materials required to be configured by the transportation package according to the matching relationship among the temperature attenuation coefficient of the biological product, the transportation time and the parameters of the transportation package.
In a second aspect, embodiments of the present invention provide a computer storage medium comprising one or more computer instructions that, when executed, implement a method as in the above embodiments.
An electronic device according to an embodiment of the third aspect of the invention comprises a memory for storing one or more computer instructions and a processor; the processor is configured to invoke and execute the one or more computer instructions to implement the method according to any of the embodiments described above.
Drawings
FIG. 1 is a flowchart of an additive method for bioproduct transportation according to an embodiment of the present invention;
fig. 2 is a schematic diagram of an electronic device according to an embodiment of the invention.
Reference numerals:
an electronic device 100;
a memory 110; an operating system 111; an application 112;
a processor 120; a network interface 130; an input device 140; a hard disk 150; a display device 160.
Detailed Description
The following detailed description of embodiments of the present invention will be made with reference to the accompanying drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
First, an additive method for bioproduct transportation according to an embodiment of the present invention will be described in detail with reference to the drawings.
As shown in fig. 1, the method for adding auxiliary materials for bioproduct transportation according to the embodiment of the present invention includes the steps of:
s1, constructing a biological product storage information database, wherein the storage information database comprises storage conditions and activity data of a plurality of biological products;
s2, acquiring the type of the biological product to be transported;
s3, matching corresponding storage conditions and activity data from the storage information database according to the type of the biological product;
s4, calculating the transportation time of the biological product;
s5, designing a transportation package of the biological product according to the transportation time of the biological product and by combining the storage condition and the activity data matched with the biological product;
s6, calculating the temperature attenuation coefficient in the transportation process according to the transportation package of the biological product;
and S7, calculating auxiliary materials required to be configured for the transportation package.
In other words, the method for adding auxiliary materials for transporting biological products according to the embodiment of the invention can be used before the biological products are transported, and the transportation of the biological products including the type and the amount of the auxiliary materials required to be configured can be calculated, so that the using amount of the auxiliary materials can be controlled, the activity of the biological products can be ensured, and the transportation cost can be reasonably controlled.
Before calculating the types and the use amounts of the auxiliary materials, firstly, a storage information database of different biological products needs to be constructed, namely, the storage conditions of the different biological products need to be determined, and the data such as the biological activity and the like after the corresponding time period is stored. The storage information database can be pre-established by a carrier for biological product transportation, specific data in the storage information database can be sorted and analyzed in a PubMed and other TouWei biomedical literature database through a natural language processing algorithm, and the storage conditions and the biological activity of part of biological products are shown in the following table:
TABLE 1 preservation conditions and biological Activity of partial biologics
Figure BDA0003324444040000051
After the stored information database is constructed, the type of the biological product to be transported in the order can be obtained, and the appropriate storage condition and activity data are matched from the stored information database according to the type of the biological product.
Then, the required transportation time of the order in the transportation process is calculated according to the distance between the receiving place and the delivery place in the order. According to the transportation time, the preservation condition and the activity data of the biological product are combined, so that the transportation package required by the biological product can be designed. According to the parameter information of the package, the temperature attenuation coefficient of the biological product in the transportation process can be obtained, the type and the quality of auxiliary materials needing to be configured in the transportation process of the transportation package can be rapidly and accurately calculated, and the problem caused by difficulty in controlling the quantity of the auxiliary materials when the auxiliary materials are added manually is avoided.
Therefore, according to the auxiliary material adding method for biological product transportation, the auxiliary material required by the transportation package for transporting the biological product is calculated in advance, the type and the quantity of the auxiliary material added into the transportation package are accurately controlled, the biological activity of the biological product when reaching a user can be guaranteed, the waste of the auxiliary material can be reduced as much as possible, the cost is controlled, the transportation cost can be accurately estimated, and the customer loss caused by the transportation cost is reduced.
According to one embodiment of the invention, the biological product comprises a virus and a vector.
That is, the biological product of the present invention may be at least a virus or a vector, or may be any other product requiring special storage conditions.
In some embodiments of the present invention, the transportation time of the biological product includes a waiting time for receiving, a clearance time, and a transit node time, and the transportation time T of the biological product is calculated as follows:
T=(t1+t2*m+t3*n)*x
wherein t1 represents the waiting time, t2 represents the customs time, m represents the number of customs, t3 represents the median of the historical transit node time, n represents the number of transit nodes, and x represents the adjustment coefficient.
In other words, calculating the transportation time of the biological product requires consideration of various factors, such as historical experience to determine the required delivery time between the shipping address and the receiving address, including fixed time (waiting for receiving time, passing time), and total transit time to determine the expected delivery time. The transportation time can be modified manually according to international situation, weather and other factors by using an adjustment coefficient, and the adjustment coefficient can be specifically between 0.9 and 1.5.
And adjusting the coefficient according to the time required for delivery (waiting for receiving time + customs number + median of historical transit node time + transit node number).
Therefore, the transportation time of the biological product can be accurately calculated, so that the subsequent accurate control of the type and the dosage of the auxiliary materials is facilitated.
According to an embodiment of the present invention, step S5 includes:
s51, acquiring the variety of each variety in the biological product, and respectively calculating the safe temperature according to each variety;
s52, performing primary sub-packaging on various varieties of the biological products according to different safe temperatures;
s53, obtaining the expected production cycle of the biological products contained in the primary sub-package in the same sub-package, and carrying out secondary sub-package on each variety of the biological products according to different expected production cycles to obtain the transportation package.
Further, step S6 includes:
s61, acquiring the volume of the biological products in each transportation package and the required packaging;
s62, calculating a latitude difference value between the receiving place and the delivery place and a highest temperature difference value between the receiving place and the delivery place within a preset time period after the delivery time;
and S63, calculating the temperature attenuation coefficient in the transportation process.
Specifically, the step is a key step, and needs to obtain order data key information and analyze parameters required by the auxiliary material calculation formula. The method specifically comprises the following steps:
(1) and acquiring a delivery site, and importing the delivery site into a third-party express company system to judge whether the destination can be delivered. If yes, acquiring 'actual conveying distance', 'estimated time', 'number of transit points' as partial formula parameters.
(2) And acquiring the calculated safe temperature of the biological product type of each commodity of the order. And carrying out primary sub-packaging on the commodities in the order according to the calculated safe temperatures with different gradients.
The method for calculating the safe temperature can be as follows:
and (4) finding the highest safe temperature of various biological products and calculating the safe temperature by combining the professional knowledge and experimental experience of research personnel.
The method comprises the steps of obtaining the storage temperature of a biological product according to the corresponding storage condition of the biological product, finding the highest temperature, setting a control group by taking 5 ℃ as a gradient, placing the biological product at the corresponding temperature for 7 days, taking the same amount of virus of each control group for cell transduction test, observing the fluorescence expression condition of the virus by a flow cytometer, calculating the survival rate, and taking the highest corresponding temperature with the survival rate of more than 95% as the highest safety temperature of the virus. (if the storage temperature of a certain virus is-30 ℃, then-30 ℃, 35 ℃, 40 ℃ and 45 ℃ are set as experimental variables theoretically.) the virus is classified according to the temperature interval, and after the temperature interval is set, the virus is rounded down according to the highest safe temperature of the virus to be used as the calculated safe temperature). (if-70 ℃ to-60 ℃ is set as a temperature interval, the calculated safe temperature at which the highest safe temperature of the virus type is-70 ℃ to-60 ℃ is set as-70 ℃), the following table is given as an example:
TABLE 2 safe temperatures of parts of biologicals
Figure BDA0003324444040000071
(3) And in the same package, acquiring the expected production cycle of the commodities contained in the same package, and if the expected production cycle span of different commodities in the same package is large, performing secondary sub-package to ensure that the commodities can be timely delivered to the hands of users after being produced.
And acquiring the volume of the commodity in each package and the required outer package from the steps, calculating the latitude difference between the receiving place and the delivery place and the highest temperature difference between the two places within 5-9 days of delivery, and acquiring the temperature attenuation coefficient by combining experimental data through a machine learning method.
Specifically, the method for obtaining the temperature attenuation coefficient by the experimental data through the machine learning method comprises the following steps: under the machine simulation environment, the above parameters are input, and the speed of the article rising from minus 80 ℃ to the normal temperature is calculated and used as the temperature attenuation coefficient under the condition of the parameters.
Finally, in step S7, the type and amount of auxiliary materials to be allocated to the transportation package are calculated according to the temperature decay coefficient of the biological product, the transportation time and the parameters of the transportation package.
Specifically, the method for calculating the type and the number of auxiliary materials required to be configured by the transportation package comprises the following steps:
acquiring a temperature attenuation system, transportation time, transportation packages and the types and the number of corresponding auxiliary materials of the biological products in a set time period, and generating sample data;
training the sample data based on a convolutional neural network model;
obtaining a matching relation among a temperature attenuation system, transportation time and transportation packages of the biological products and the types and the number of corresponding auxiliary materials;
and calculating the type and the quantity of auxiliary materials required to be configured by the transportation package according to the matching relationship among the temperature attenuation coefficient of the biological product, the transportation time and the parameters of the transportation package.
That is, according to the parameters of 'calculating safe temperature of biological products', 'actual conveying distance', 'required time for delivery', 'outer packaging volume', 'temperature attenuation coefficient' obtained in the above steps, sample data is generated by combining past delivery experience of logistics departments, training is performed based on a convolutional neural network model, accuracy of the data is improved by continuously adjusting the parameters, and finally a dry ice weight calculation formula required by each package is obtained.
And then calculating and displaying the basic freight of all packages and the total expense of the auxiliary materials in the order, generating a delivery order of corresponding package details and the usage amount of the auxiliary materials for reference of a logistics department, and calling a delivery result of each parameter in past data consistent with the order for reference.
In summary, the present invention is used to solve the problems of high transportation cost and instability caused by the special transportation of the existing biological products. The most appropriate amount of auxiliary materials needed to be used in the process of transporting different carriers and viruses is calculated in advance through the system, so that logistics departments have uniform and standard addition amount in the process of delivering goods, the activity of the carrier viruses reaching customers can be guaranteed, the cost can be controlled to the greatest extent, and waste is avoided. Meanwhile, the freight can be calculated in advance through the types and the amounts of the auxiliary materials, so that the user can intelligently calculate the required freight in the ordering process. Due to the reduction of the freight rate, the purchase rate and the return rate of the user can be improved to a certain extent.
The invention mainly judges the number of packages to be used by the order in advance by acquiring all information in the order data, and estimates the required freight by the quantity of auxiliary materials. The method can solve the calculation problem of the freight charge, reduce the transportation cost and ensure the activity of the carrier virus.
In addition, an embodiment of the present invention further provides a computer storage medium, where the computer storage medium includes one or more computer instructions, and when executed, the one or more computer instructions implement any one of the methods described above.
That is, the computer storage medium stores a computer program that, when executed by a processor, causes the processor to perform any of the methods described above.
As shown in fig. 2, an embodiment of the present invention provides an electronic device 100, which includes a memory 110 and a processor 120, where the memory 110 is configured to store one or more computer instructions, and the processor 120 is configured to call and execute the one or more computer instructions, so as to implement any one of the methods described above.
That is, the electronic apparatus 100 includes: a processor 120 and a memory 110, in which memory 110 computer program instructions are stored, wherein the computer program instructions, when executed by the processor, cause the processor 120 to perform any of the methods described above.
Further, as shown in fig. 2, the electronic device 100 further includes a network interface 130, an input device 140, a hard disk 150, and a display device 160.
The various interfaces and devices described above may be interconnected by a bus architecture. A bus architecture may be any architecture that may include any number of interconnected buses and bridges. One or more Central Processing Units (CPUs), represented in particular by processor 120, and one or more memories, represented by memory 110, are coupled together. The bus architecture may also connect various other circuits such as peripherals, voltage regulators, power management circuits, and the like. It will be appreciated that a bus architecture is used to enable communications among the components. The bus architecture includes a power bus, a control bus, and a status signal bus, in addition to a data bus, all of which are well known in the art and therefore will not be described in detail herein.
The network interface 130 may be connected to a network (e.g., the internet, a local area network, etc.), and may obtain relevant data from the network and store the relevant data in the hard disk 150.
The input device 140 may receive various commands input by the operator and send the commands to the processor 120 for execution. The input device 140 may include a keyboard or a pointing device (e.g., a mouse, a trackball, a touch pad, a touch screen, or the like).
The display device 160 may display the result obtained by the processor 120 executing the instructions.
The memory 310 is used for storing programs and data necessary for operating the operating system, and data such as intermediate results in the calculation process of the processor 120.
It will be appreciated that memory 110 in embodiments of the invention may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The nonvolatile memory may be a Read Only Memory (ROM), a Programmable Read Only Memory (PROM), an Erasable Programmable Read Only Memory (EPROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), or a flash memory. Volatile memory can be Random Access Memory (RAM), which acts as external cache memory. The memory 110 of the apparatus and methods described herein is intended to comprise, without being limited to, these and any other suitable types of memory.
In some embodiments, memory 110 stores the following elements, executable modules or data structures, or a subset thereof, or an expanded set thereof: an operating system 111 and application programs 112.
The operating system 111 includes various system programs, such as a framework layer, a core library layer, a driver layer, and the like, and is used for implementing various basic services and processing hardware-based tasks. The application 112 includes various applications, such as a Browser (Browser), and the like, for implementing various application services. A program implementing methods of embodiments of the present invention may be included in application 112.
The processor 120, when invoking and executing the application program and data stored in the memory 110, specifically, the application program or the instructions stored in the application program 112, dispersedly sends one of the first set and the second set to the node distributed by the other one of the first set and the second set, where the other one is dispersedly stored in at least two nodes; and performing intersection processing in a node-by-node manner according to the node distribution of the first set and the node distribution of the second set.
The method disclosed by the above embodiment of the present invention can be applied to the processor 120, or implemented by the processor 120. The processor 120 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 120. The processor 120 may be a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof, and may implement or perform the methods, steps, and logic blocks disclosed in the embodiments of the present invention. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in the memory 110, and the processor 120 reads the information in the memory 110 and completes the steps of the method in combination with the hardware thereof.
It is to be understood that the embodiments described herein may be implemented in hardware, software, firmware, middleware, microcode, or any combination thereof. For a hardware implementation, the processing units may be implemented within one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), general purpose processors, controllers, micro-controllers, microprocessors, other electronic units designed to perform the functions described herein, or a combination thereof.
For a software implementation, the techniques described herein may be implemented with modules (e.g., procedures, functions, and so on) that perform the functions described herein. The software codes may be stored in a memory and executed by a processor. The memory may be implemented within the processor or external to the processor.
In particular, the processor 120 is further configured to read the computer program and execute any of the methods described above.
In the several embodiments provided in the present application, it should be understood that the disclosed method and apparatus may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be physically included alone, or two or more units may be integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the appended claims.

Claims (10)

1. An auxiliary material adding method for biological product transportation is characterized by comprising the following steps:
s1, constructing a biological product storage information database, wherein the storage information database comprises storage conditions and activity data of a plurality of biological products;
s2, acquiring the type of the biological product to be transported;
s3, matching corresponding storage conditions and activity data from the storage information database according to the type of the biological product;
s4, calculating the transportation time of the biological product;
s5, designing a transportation package of the biological product according to the transportation time of the biological product and by combining the storage condition and the activity data matched with the biological product;
s6, calculating the temperature attenuation coefficient in the transportation process according to the transportation package of the biological product;
and S7, calculating auxiliary materials required to be configured for the transportation package.
2. The method of claim 1, wherein the biological product comprises a virus and a vector.
3. The method of claim 1, wherein the transportation time of the biological product comprises a waiting time for receiving, a clearance time, and a transit node time, and the transportation time T of the biological product is calculated by the following formula:
T=(t1+t2*m+t3*n)*x
wherein t1 represents the waiting time, t2 represents the customs time, m represents the number of customs, t3 represents the median of the historical transit node time, n represents the number of transit nodes, and x represents the adjustment coefficient.
4. The method according to claim 1, wherein step S5 includes:
s51, acquiring the variety of each variety in the biological product, and respectively calculating the safe temperature according to each variety;
s52, performing primary sub-packaging on various varieties of the biological products according to different safe temperatures;
s53, obtaining the expected production cycle of the biological products contained in the primary sub-package in the same sub-package, and carrying out secondary sub-package on each variety of the biological products according to different expected production cycles to obtain the transportation package.
5. The method according to claim 1, wherein step S6 includes:
s61, acquiring the volume of the biological products in each transportation package and the required packaging;
s62, calculating a latitude difference value between the receiving place and the delivery place and a highest temperature difference value between the receiving place and the delivery place within a preset time period after the delivery time;
and S63, calculating the temperature attenuation coefficient in the transportation process.
6. The method of claim 5, wherein the predetermined time is 5 to 9 days.
7. The method of claim 1, wherein in step S7, the type and amount of auxiliary materials to be configured for the transportation package are calculated according to the temperature decay coefficient of the biological product, the transportation time, and the parameters of the transportation package.
8. The method of claim 7, wherein the method of calculating the type and amount of auxiliary materials to be deployed by the transportation package comprises:
acquiring a temperature attenuation system, transportation time, transportation packages and the types and the number of corresponding auxiliary materials of the biological products in a set time period, and generating sample data;
training the sample data based on a convolutional neural network model;
obtaining a matching relation among a temperature attenuation system, transportation time and transportation packages of the biological products and the types and the number of corresponding auxiliary materials;
and calculating the type and the quantity of auxiliary materials required to be configured by the transportation package according to the matching relationship among the temperature attenuation coefficient of the biological product, the transportation time and the parameters of the transportation package.
9. A computer storage medium comprising one or more computer instructions which, when executed, implement the method of any one of claims 1-8.
10. An electronic device comprising a memory and a processor, wherein,
the memory is to store one or more computer instructions;
the processor is configured to invoke and execute the one or more computer instructions to implement the method of any one of claims 1-8.
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US10605674B1 (en) * 2016-09-21 2020-03-31 Walgreen Co. Determining cold-chain shipment packaging
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